Despite the pervasive nature of internet use among adolescents and young adults, there is not enough knowledge about whether and how involvement in social media influences substance use patterns and the risk of drug use-related problems. This study was conducted to examine the complex relationship between substance use-related social media engagement (viewing, liking, commenting, and posting the substance use-related social media content) and the drug use-related problem in adolescents from public perception. We surveyed to determine the perception of social media users regarding the association between substance use-related social media content and substance/drug abuse problems. An anonymous online questionnaire was conducted to collect the response from each participant. The response was generated after collecting the data from 126 users of mixed ages. The data was stringently analyzed, and the response was displayed in the form of bar charts. The primary findings indicated a significant relationship between drug/alcohol-related social media engagement and drug/alcohol-related problems. From public perception, a positive correlation was found between the engagement in the drug use-related content and drug use associated problems. However, further research is needed to determine the right direction of these associations that can provide substantiative solutions for numerous interventions aiming to prevent drug use-related adverse consequences.

In this research work, we have applied “Lipinski’s RO5” for pharmacokinetics (PK) study and to predict the activity of peptidic HIV-1 protease inhibitors. Peptidic HIV-1-PRIs have been taken from literature with their observed biological activities (OBAs) in term of IC50. The logarithms of the inverse of IC50 have been used as biological end point o(log1/C) in the study. For calculation of physicochemical parameters, the molecular modeling and geometry optimization of all the derivatives have been carried out with CAChe Pro software using semiempirical PM3 method. Prediction of the biological activity of the inhibitors has shown that the best QSAR model is constructed from pharmacokinetic properties, molecular weight and hydrogen bond acceptor. This also proved that these properties play important role to describe the PKs of the drugs. On the basis of the derived models one can build up a theoretical basis to access the biological activity of the compounds of the same series.

Student engagement in educational activities is essential for achieving desired learning outcomes. Despite this, little is known about the engagement patterns of nursing students from diverse or disadvantaged backgrounds. A mixed method study was conducted to explore engagement patterns within and outside the classroom but not during clinical placements. Students were asked what engagement means to them and what influences their engagement. Students were also asked how many hours they engaged in each of their undergraduate subjects and the reasons for this. The study was conducted at an Australian education provider. All students (n = 240) enrolled in the Bachelor of Nursing course were invited to participate. Lecture attendance was high at the start of the semester, fluctuated weekly and declined as the semester progressed. Students averaged between 3.5 and 4.4 hours of engagement per subject per week. They defined engagement as actually coming to class and a commitment to learning. Students were engaged by new, interesting content and disengaged by repetitive or complex content and poor tutoring. Most students want to engage but are distracted by intrinsic and extrinsic factors. Research should explore how to best assess students without the concurrent academic workload interfering with their studies.

The Doppler shift is an angle dependent function. Based on the relationship between frequency shift and angle, direction-finding method can be used directly to obtain the ranging solution based on frequency shift measurement. The Doppler ranging solution obtained by this method has excellent calculation accuracy and can keep the same accuracy as the ranging solution based on frequency shift difference processing.

Wernicke’s encephalopathy (WE) is a neurological emergency related to a severe thiamine (vitamin B1) deficiency, an essential cofactor in cerebral energy metabolism. Although historically associated with chronic alcoholism, this condition can occur in any context of malnutrition, prolonged vomiting, or hypercatabolism. We conducted a retrospective descriptive study on seven patients admitted to our neurology department between 2015 and 2020, in order to de-scribe the clinical, radiological, and outcome characteristics of this pathology. The diagnosis was made in the presence of suggestive signs (at least two among confusion, ataxia, oculomotor disorders), a risk context of deficiency or malnutrition, typical MRI abnormalities and/or rapid improvement after thiamine ad-ministration. Our series included two male patients with chronic alcohol consumption, and five pregnant women with severe hyperemesis gravidarum, with an average age of 32.4 years. Mental confusion was the most frequent sign, followed by gait disturbances and oculomotor abnormalities. The most characteristic MRI lesions involved the thalamus, the periaqueductal region, and the mammillary bodies. All patients received high-dose intravenous thiamine supplementation (500 mg every eight hours for three days), followed by oral maintenance therapy. The outcome was favorable in five cases, while two patients had persistent memory disorders. These observations confirm that WE is not limited to alcoholic forms and must be considered in any situation with nutritional risk. Early diagnosis and rapid administration of intravenous thiamine remain essential to prevent irreversible neurological sequelae and improve functional prognosis.

Background: Resting-state functional MRI (rsfMRI) provides insights into large-scale brain network organization associated with cognitive control, emotion regulation, and attentional processes. The ventral attention network (VAN) is a key salience-driven network that supports attentional re-orienting to behaviorally relevant stimuli. However, little is known about how VAN resting state functional connectivity varies by demographic, socioeconomic, psychosocial, and behavioral factors during early adolescence. Objective: To examine associations between VAN rsfMRI connectivity and multiple demographic, socioeconomic, psychosocial, and behavioral characteristics. Methods: Data came from the baseline and early follow-up waves of the Adolescent Brain Cognitive Development (ABCD) Study. The analytic sample included youth with high-quality baseline rsfMRI data and complete socioeconomic and psychosocial measures. The primary outcome was mean resting-state functional connectivity within the VAN across subcortical and cortical regions of interest (ROIs). Bivariate correlations were computed between VAN connectivity and demographic (age, sex, puberty, race/ethnicity), socioeconomic (income, parental education, marital status, neighborhood income), psychosocial (trauma, discrimination, financial difficulty), trait (impulsivity), and behavioral variables (body mass index, depression, suicide, prodromal symptoms, and substance use). Unadjusted bivariate correlations and adjusted logistic regressions were used for data analysis. Results: VAN connectivity showed small but significant correlations with multiple contextual factors. Higher household income, parental education, and neighborhood affluence were associated with greater connectivity, whereas Black race and Hispanic ethnicity were related to lower connectivity. Youth reporting higher discrimination and financial difficulty exhibited weaker VAN connectivity. Greater VAN connectivity was negatively associated with impulsive reward-driven trait (drive), prodromal symptoms, BMI, and marijuana and alcohol use. Associations between VAN connectivity and suicide, depression, marijuana use, and alcohol use remained significant in age and sex adjusted models. Conclusions: VAN connectivity reflects subtle neural correlates of socioeconomic and psychosocial context in early adolescence. Our results underscore the importance of integrating structural and contextual factors in interpreting brain-behavior associations across diverse populations. These findings are suggestive of stable socioeconomic and psychosocial correlates of network efficiency.

In this paper, we will examine a rather complex case of the paradoxical nature of certain conclusions that may arise when studying the numerical convergence of a specific nonlinear recursive sequence, known in the literature as Muller’s sequence. To analyze the peculiar computational behavior of this sequence, it is necessary to employ a powerful mathematical framework in order to understand the nontrivial issues that can arise when the software implementation of this seemingly simple mathematical problem. These challenges often stem from the limitations of numerical methods and the inherent errors in computer arithmetic, which can affect the accuracy and stability of the results, particularly when dealing with iterative methods like Muller's sequence.

The processes of technical and technological development are unequivocally linked to increasing energy consumption, with a significant portion of energy being produced from fossil fuels worldwide. The reserves of natural energy sources such as petroleum, gas, coal, and turf are finite. The transition to renewable energy sources has been ongoing for a long time, but share in global energy consumption remains lower than desired. The main limitations include limited availability, inability to operate continuously throughout the year, high costs, and a lack of materials and devices capable of withstanding high temperatures and pressures. The goal of our research is to create a device that generates electricity using a new type of renewable energy source based on the thermal expansion and contraction of materials. This paper presents the construction, details, and working principles of the new device. The primary focus is on utilizing materials and components that are readily available. The proposed method has own advantages, addresses some of the aforementioned limitations, and can be particularly beneficial for providing electrical energy in remote areas. Calculations indicate that the device built using this new method will be competitive with appliances that utilize other renewable energy sources in terms of features and efficiency.

Background: Smoking cessation interventions are critical for underserved populations, particularly among low-income individuals who may benefit from tailored support. However, the effectiveness of different intervention formats remains unclear, particularly as virtual and hybrid models gain popularity. Aims: This study compares the effectiveness of three smoking cessation intervention arms in a quasi-experimental design: Self-help group (Arm 1), In-person group (Arm 2), and Virtual/hybrid group (Arm 3). The primary outcome was the rate of successful quit across these different intervention modalities. Methods: The study utilized a community-based intervention approach, controlling for potential confounders. The communities were randomized, and this process was blinded. The effectiveness of the In-person group and the Virtual/hybrid group was compared to the Self-help group. The odds ratio (OR) for successful quit rates was calculated for each group, with corresponding 95% confidence intervals (CIs). Results: Participants included 50.4% of women, 82.8% were Black Americans, 11.6% Whites, and 3.4% other races. In-person group (Arm 2) showed a higher rate of successful quit compared to the Self-help group (OR = 2.67, 95% CI = 1.05, 6.79). Virtual/hybrid group (Arm 3) was not associated with a significantly higher quit rate compared to the Self-help group (OR = 1.48, 95% CI = 0.57, 3.83). Conclusion: The In-person group, which utilizes the CEASE curriculum and incorporates peer motivation, proved to be significantly more effective than both the Self-help and Virtual/hybrid groups. The findings suggest that low-income, underserved smokers may not be fully prepared to benefit from virtual interventions, or the current curriculum may need adaptation to better serve their needs in a virtual format.

Background: The initiation of substance use during adolescence is a significant public health concern with long-term implications. Structural and environmental factors, such as community-level crime statistics related to drug offenses, are often assumed to influence the likelihood of substance use among youth. However, the relationship between these environmental crime indicators and early substance use initiation in adolescents is not well understood. Objective: This study aims to examine the association between environmental drug-related crime statistics—derived from Uniform Crime Reports, including drug abuse violations, drug sales, marijuana sales, drug possession, and driving under the influence (DUI)—and the use of tobacco, marijuana, and alcohol among adolescents aged 9-16 in the United States. Methods: Data from the Adolescent Brain Cognitive Development (ABCD) study, which follows a cohort of adolescents from ages 9-10 to 16, were analyzed. 11,878 participants entered our analysis. The primary environmental measures included total drug abuse violations, drug sale offenses, marijuana sale offenses, drug possession offenses, and DUI reports. Substance use outcomes of interest were the frequency and prevalence of tobacco, marijuana, and alcohol use across the observed age range. Results: Contrary to expectations, higher levels of drug-related crime in a community were not associated with increased use of tobacco, marijuana, or alcohol among adolescents. In fact, the study found a significant inverse relationship between the total number of drug-related crimes and tobacco use, suggesting lower tobacco use in areas with higher reported drug abuse violations, drug sales, marijuana sales, drug possession, and DUI incidents. No significant associations were observed between these crime indicators and the use of marijuana or alcohol. Conclusions: These findings challenge the prevailing assumption that higher environmental drug-related crime statistics necessarily predict greater substance use among adolescents. The observed inverse relationship between drug-related crime and tobacco use warrants further investigation to understand the underlying mechanisms and to inform targeted intervention strategies. Future research should explore the complex interplay between structural environmental factors and youth substance use to better inform public health policies.

The objective of this study was to examine the barriers to effective solid waste management in the Komenda-Edina-Eguafo-Abrem Municipality in the Central Region of Ghana. This study adopted the cross-sectional descriptive survey research design. The population for the study comprised all residents of 18 years or older as well as waste management agencies in the KEEA Municipality. A simple random sampling technique was used to select 380 residents together with 45 staff of the Zoomlion Company Ltd in the KEEA Municipality for the study. The questionnaire was the main instrument used for the data collection. Frequencies, percentages, means and standard deviations were used to analyse the questionnaire items on the research questions. This was done with the use of the Statistical Package for Service Solutions (SPSS) version 21. There were a number of barriers to effective solid waste management practices. Some of the barriers were inadequate environmental education; inadequate logistics and funds; inadequate depots, skips and dustbins; lack of adequate skilled personnel to manage services efficiently; and apathetic attitude/inertia on the part of some of the residents. Some other barriers included: irregular collection of waste by waste management companies; lack of appropriate sites for waste disposal; unwillingness of some households to pay for the collection and appropriate disposal of solids; and refuse dumps located very far from home. It is recommended that the government through the Ministry of Local Government should provide adequate logistics and funds for the procurement of dustbins in order to ensure proper solid waste management. The Assembly should ensure that Zoomlion collects waste regularly. The Assembly should encourage residents to pay for the collection of waste and sanction recalcitrant residents who do not adhere to appropriate solid waste management practices.

We study the using the Monte Carlo method and its application. Below are several examples of software implementations of the Monte Carlo method for performing calculations that will allow us to determine the necessary information in cases where probability can be applied. Below is a software implementation of the examples in the C# programming language. The programs have a desktop interface and allow us to calculate such values as the number π and the time required to perform certain actions.

The purpose of the study was to design and develop performance-based tasks to assess laboratory observing skills of biology students in senior high schools. The target population was all students in the nine schools within Sekondi-Takoradi Metropolis reading biology as an elective subject. The accessible population was 753 SHS 2 biology students in six schools. 261 students were randomly selected from each of the six schools. These schools were of three different types, single-sex males, single-sex females, and mixed. Mean, standard deviations, frequencies, and percentages were calculated while independent sample t-tests were performed. No significant difference was noticed in levels of proficiency shown for males and females in the various schools surveyed. It is recommended that students from all types of schools and both sexes must be given an opportunity to engage in more activities at the SHS level to sharpen their observing skills.

The paper presented the results of the research related to the analysis of the reliability of computer calculations. Relevant examples of incorrect program operation were demonstrated: both quite simple and much less obvious, such as S. Rump's example. In addition to mathematical explanations, authors focused on purely software capabilities for controlling the accuracy of complex calculations. For this purpose, examples of effective use of the functionality of the decimal and fraction modules in Python 3.x were given.

Climate change and weather-related disasters are speeded very fast in the last decades with the consequences bringing to humanity: insecurity, destructing the ecological systems, increasing poverty, human victims, and economical losses everywhere on the planet. The innovative methods applied to mitigate the magnitudes of natural disasters and to combat effectively their negative impact consist of remote and earth constantly monitoring, data collection, creation of models for big data extrapolation, prediction, in-time warning for prevention, and others. Artificial intelligence (AI) is used to deal with big data, for calculations, forecasts, predictions of natural disasters in the near future, the establishment of the possibilities to escape the hazards or risky situations, as well as to prepare the human being for adverse changes, and drawing the different choices as assistance the right decision to be accepted. Many projects, programs, and frameworks are adopted and carried out the separate governments and business makers to common goals and actions for the formation of a friendly environment and measures for reducing undesired climate alterations and cataclysms. The aim of the article is to review the last programs and innovations applied in the mitigation of climate change using AI.

A phytosociological review is carried out of the pine forest formations on the islands of Cuba and Hispaniola (Caribbean), due to the diversity of soils and environments. We collected 10 plant associations belonging to the class Byrsonimo-Pinetea caribaea growing on siliceous, calcareous and sandy substrates and 21 associations on special, serpentine and ophite substrates and on ultramafic rocks belonging to the class Caseario crassinervis-Pinetea cubensis, exclusive to Cuba; while the association of pine forests on serpentines in Hispaniola is included in the class Phyllantho orbicularis-Neobracetea valenzuelanae with a Caribbean distribution. The comparative phytosociological and statistical study reveals phytosociological anomalies in the inclusion of various syntaxa, and in the description of other syntaxa according to the International Code of Phytosociological Nomenclature (ICPN). We therefore propose a change in status for several of the subassociations described: subass. ilicetosum repandae: syn. var. con Ilex repanda; subass. schmidtottietosum shaferi: syn. var. with Schmidtottia shaferi; subass. acrosynanthetosum trachyphylli: syn. var. with Acrosynanthus trachyphyllus; subass. psychotrietosum grandis: var. con Psychotria grandis; subass. notodonetosum roigii: syn. var. with Notodon roigii. We also propose a nomen novum: jaquinietosum oxhyphyllae Reyes & Acosta 2012 ex Cano et al. hoc loco.

Police work is mentally demanding and stressful, which takes a heavy toll on the health of police personnel. This study was conducted to assess the eating pattern, physical activity and nutritional status of police personnel in the Tamale Metropolis. A cross-sectional research design was adopted for the study. The population of this study involved all the 1590 police personnel with two years working experience within the Tamale Metropolis in the Northern Region of Ghana. Simple random sampling technique was used to select three hundred and eighty-four (384) respondents for the study. The main instrument for data collection was questionnaire. Data were analyzed using Statistical Package for Social Sciences (SPSS) version 21.0. Chi-square and Fisher’s exact tests were used to test associations. Logistic modeling was used to test the strength of the associations. P<0.05 was used to denote significance. The study revealed that the police eat two main meals, skip breakfast or eat in between meals, consume alcohol, ate foods belonging to the meat, soft drinks, fish, grain and eggs groups and their diet were more moderately diverse. The study also concluded the police personnel had normal BMI while was overweight and obese respectively. It is recommended that the police department should institute health education programs on the benefits of good dietary practices to achieve optimal health, to avoid the practice of police eating two main meals, skipping breakfast, consuming more alcohol but rather consumes diet that is moderately diverse to sustain him or her. It is also recommended that police department should institute a health education and screening exercise policy to examine the personals periodically to warrant their good health in the service.

A three-level laser with an open cavity and a two-mode vacuum reservoir is explored for its quantum properties. Our investigation begins with a normalized order of the noise operators associated with the vacuum reservoir. The master equation and linear operators' equations of motion are used to determine the equations of evolution of the atomic operators' expectation values. The equation of motion answers are then used to calculate the mean photon number, photon number variance, and quadrature variance for single–mode cavity light and two–mode cavity light. As a result, for γ=0, the quadrature variance of light mode a is greater than the mean photon number for two-mode cavity light. As a result, for the two-mode cavity light, the maximum quadrature squeezing is 43.42 percent.

This study aimed to examine the pedagogical knowledge base of Religious and Moral Education teachers in assessing students’ academic performance. The research design used for this study was the correlational research design. 159 basic schools were selected to participate in the study. The population of the study comprised Religious and Moral Education (RME) teachers and second-year students in basic schools in the Komenda Edina Eguafo Abirem Municipality in the Central Region of Ghana. Purposive and random sampling techniques were used to select basic schools, Religious and Moral Education (RME) teachers, and students for the study. In all one hundred and seventy-five (175) RME teachers and three hundred and fifty-seven (357) students were selected for the study. The main instruments employed in the study were questionnaires and observation. The data was analysed through the computation of frequencies, percentages, mean of means distributions, and the calculation of correlation coefficient. Pearson’s Correlational Coefficient was used to describe the linear relationship between each of the variables. This was done with the use of computer software called Statistical Product for Service Solutions (SPSS). The study concluded that teachers possessed adequate knowledge about the use of pedagogy or instructional methods when it comes to the teaching of RME. However, as observed, teachers use of the existential approach and the life theme approach only, and, teachers did not make use of the concept cracking approach to teaching RME probably because they lacked adequate information about how to use them. It is recommended that the Ministry of Education, Ghana Education Service, and the National Council for Curriculum and Assessment should organise in-service training for teachers to be abreast with some of these contemporary pedagogies for the teaching of RME in Basic Schools and also make modules available for use at the Colleges of Education to train our upcoming teachers at the Basic Schools.

When a drug interacts with its receptor, the nonpolar substituent of drug and receptor proteins attract each other because they have opposite magnitude with respect to each other. X-rays structure studies reflected that the S2/S2’ pocket in HIV-1 protease enzyme are essentially hydrophobic. The residues that make up these pockets are Val-32, Ile-47, Ile-50, and Ile-84 in each monomeric polypeptidic unit of the protease enzyme. Δπ_dr and ΔSASA_dr have been used to measure the extent of hydrophobic interaction between peptidic protease inhibitors and receptor proteins (binding site: valine‒isoleucine; and catalytic site: glycine‒aspartic acid‒threonine) on the HIV-1 protease enzyme. For measurement of hydrophobic interaction, the molecular modeling and geometry optimization of all the inhibitors and the receptor amino acids have been carried out with CAChe Pro software by opting semiempirical PM3 methods. Log P was calculated using the atom-typing scheme of Ghose and Crippen, while solvent accessible surface area by conductor likes screening model. π_d, π_r, SASA_Sd and SASA_Sr well describe the hydrophobicities of the substituents and play the effective role for site selectivity for interaction of the drug with the receptor. Comparative study of values of Δπ_dr and ΔSASA_dr show the order of hydrophobic interaction with respect to amino acids: Asp > Thr > Val > Ile and Thr > Val > Asp > Ile, respectively. Further, comparative study of the values of (ΣΔπ_dr)_binding-site, (ΣΔπ_dr)_{catalytic-site}, (ΣΔSASA_dr)_binding-site, (ΣΔSASA_dr)_{catalytic-site} shows that peptidic HIV-1-PRIs interact with binding site rather than catalytic site as binding site have lower value of ΣΔπ_dr and ΣΔSASA_dr. Among the binding site, Val has maximum interaction than Ile, as it has lower vale of Δπ_dr and ΔSASA_dr.

The deleterious health effects of ethanol abuse are widely known and a diversity of medical conditions appear with excessive consumption. Acute and chronic abuse have different clinical characteristics, although severe intoxications are rare among alcoholics of a long career, where the systemic complications will dominate the symptomatology. While the medical focus acutely will mostly stay on the nervous and circulatory effects, gastrointestinal complications that will come up chronically (liver, pancreas, bowel dysfunction) need proper consideration. Ethanol will affect gastrointestinal functionality through a triple action, directly on the epithelial cell and the secretory activity, by altering the motility and in the long-term scope, through promoting carcinogenesis. Medical teams dealing with acute and chronic ethanol intoxication or abuse must be aware of the multiple effects it shows, and perform a prompt diagnosis as well as appropriate intervention.

The purpose of the study was to assess the perceptions and challenges facing in the implementation process of the IN-IN-OUT programme in selected colleges of education in the Ashanti Region of Ghana. The descriptive cross-sectional survey was employed as the research design in this study. The population was made up of supervisors, mentors, and mentees from St. Louis and Wesley Colleges of education who have been posted to various communities in the Ashanti Region of Ghana to practice teaching. Purposive and random Sampling techniques were used to select tutors, teacher-trainees, mentors and assemblymen in the practicing communities. The study's main data collection tools were questionnaires and interview and classroom observation protocols. The data collected were scored and analyzed using the Statistical Package for Social Scientists (SPSS) computer software. Frequencies, percentages, and other measures of central tendencies were calculated. The study revealed that teacher-trainees, mentors, and assemblymen in the two (2) communities saw the IN-IN-OUT programme as useful to a large extent, even though they had varied opinions. While some say the program was merely useful, some see it as very useful and others saw the program as extremely useful. The study also revealed that the challenges faced by the various teacher trainees, mentors, and supervisors include social problems, financial difficulties, and time constraints. It is recommended that teacher trainees are posted to the rural and peri-urban communities, one can be sure that after their certification they will be fully prepared to face the challenges ahead of them. It is also recommended that the government and stakeholders should as a matter of urgency commit more money to this programme.

Carboxylates and their antimony(III) complexes experimentally scanned earlier for anti-leishmanial activity (IC₅₀) against five leishmanial strains viz., L. major, L. major (Pak), L. tropica, L. mex mex, and L. donovani. These activities have been theoretically predicted by DFT method along with quantitative structure-activity relationship (QSAR) study. Molecular modeling and geometry optimization of the all the eight compounds have been performed on workspace program of CAChe Pro software of Fujitsu by opting B88-PW91 (Becke '88; Perdew & Wang '91) GGA (generalized-gradient approximation) energy functional with DZVP (double-zeta valence polarized ) basis set in DFT (Density Functional Theory). For QSAR, multiple linear regression (MLR) analysis has been performed on Project Leader Program associated with CAChe. The reliability of correlation between experimental activities and predicted activities are r² = 0.826, r²_CV = 0.426 (L. major); r² = 0.905, r²_CV = 0.507 (L. major (Pak)); r² = 0.980, r²_CV = 0.932 (L. tropica); r² = 0.781, r²_CV = 0.580 (L. mex mex) and r² = 0.634, r²_CV = 0.376 (L. donovani), and a comparison of the experimental values and the values obtained by theoretical calculations has been presented pictorially that shows close resemblance.

With respect to the exciton moving in the two-dimensional quantum well, the paper presents a scheme which can rigorously calculate out the binding energy of the exciton in the two-dimensional semiconductor quantum well by simply using the relation $\left|z_e-z_h\right|=\rho \tan \alpha$, which is much simpler than the complex calculation of Ref.[1-2]. Concerning the calculation result eq.(13), the paper discusses the results for two significant cases of $\left|z_e-z_h\right|$<<$\rho$and $\left|z_e-z_h\right|\to \infty$.

The requirement for any configuration of a chemical or biochemical reactor is the presence of efficient mixing to enhance heat and mass transfer as needed for the application of interest. Furthermore, as an Oscillatory Flow (OF) reactor has a combination of flow oscillation and baffled tube configuration, which has the potential to ensure efficient mixing, heat transfer, and mass transfer. In this way, an efficient mixing in an OF reactor is able to tackle any type of resistance in any chemical process from polymer synthesis to enzyme production. It has been observed that an OF reactor improved both conversion and selectivity of the relevant reaction by efficient mixing and transport properties. However, this technology was not still extended to mini-fluidic configuration via process intensification methods and so far, a novel approach for enhanced mixing at reduced scales was not explored. This work explores the application of OF technology in mini-fluidics. The feasibility analysis of Oscillatory Flow Technology in mini channels has been investigated using theoretical correlations from Conventional Oscillatory flow technology in process equipment. As a preliminary step in the process intensification of OF technology in mini channels, The Nusselt number (Nu) and pressure drop values are predicted from the literature and it has been observed that the transfer operations are also improved when oscillatory flow is applied in mini channels compared to commercial mini contactors such as corning heart shaped reactor. The plot between energy dissipation vs. mixing evaluated from theoretical calculations was drawn and compared with mini-fluidic mixers reported in literature. The most common mini-fluidic mixer is corning heart shaped reactor used for comparison with the proposed minichannel. Because of this analysis, the novel mixing geometries was expected to develop for various chemical processing applications. The OFT experimental set up was developed to create oscillatory flow via either forward rotation or backward rotation of valve. Furthermore, pressure vs. time profile and flow vs. time profile for the given OF mini fluidic arrangement is initially investigated and described. Preliminary experimental results are provided for an OF generator, intended for use in subsequent experiments exploring mini-fluidic mixers with OF technology.

Background: Everyone, irrespective of age, sex, colour, ethnicity, or present overall fitness level, can benefit from regular exercise. To improve one's health, one must engage in regular physical activity. People with underlying illnesses like long-term impairment can benefit from regular physical activity at the individual level, especially young women. Thus, the current study aimed to assess the prevalence and determinants of physical activity among female school-aged adolescents in the West Coast Region of The Gambia. Methods: The present study used an institutional-based cross-sectional analytical study to collect quantitative data from 384 female high school students in The Gambia. The study used a content-validated, pretested structured questionnaire that consisted of both open and closed-ended questions on physical activity. The data were processed and analyzed using IBM SPSS version 26.0. Descriptive statistics and Chi-square and/or Fisher exact test were used with a p-value <0.15 for inclusion in the logistic regression model. Adjusted odds ratios (aORs) and 95% confidence intervals were calculated, while p-value <0.05 was considered for statistical significance. Results: The proportion of female students involved in physical activity was 37.5%. The mean age of students was 18.8 years with a standard deviation of 1.7 years. Factors such as female students between 17 – 20 years (aOR:3.05, 95% C.I. (1.807 – 5.138)), father never been to school (aOR: 2.82, 95% C.I. (1.495 – 5.334)), primary education (aOR: 2.15, 95% C.I. (1.027 – 4.493)), upper basic school (aOR: 2.31, 95% C.I. (1.055 – 5.074)) and science major students (aOR: 2.21, 95% C.I. (1.203 – 4.047)) had increased odds of involving in PA. Furthermore, students who knew that exercise would strengthen bones (aOR: 2.62, 95% C.I (1.444 – 4.739)), do a planned brisk walking (aOR: 19.16, 95% C.I. (6.698 – 54.811)), basketball/football (aOR: 29.76, 95% C.I. (10.004 – 88.512)) and skipping with rope (aOR: 29.15, 95% C.I. (9.726 – 87.333)) had increased odds to involved in PA after controlling for confounders. Other factors such as students whose mother never been to school (aOR: 0.31, 95% C.I. (0.140 – 0.674)), primary level (aOR: 0.25, 95% C.I. (0.123 – 0.518)), senior secondary level (aOR: 0.42, 95% C.I. (0.189 – 0.935)), nuclear family (aOR: 0.23, 95% C.I. (0.119 – 0.458)) and extended family (aOR: 0.45, 95% C.I. (0.225 – 0.915)) had reduced odds of involving in PA. Conclusion: There is low physical activity among female adolescents in schools. For this, it is imperative that suitable interventions be implemented to raise the level of physical activity among secondary school students. A future intervention for school-aged adolescents could benefit from these findings.

The kinetics, equilibrium and thermodynamic study of the adsorption of Ni²⁺, Pb²⁺ and Cu²⁺ions from aqueous solution by the leaf of Mangiferaindica were investigated at different experimental conditions. Optimum conditions of initial metal ion concentration, pH, adsorbent dose, contact time and temperature were determined. The kinetics studies indicate that the adsorption process of the metals ions followed the pseudo second-order model with R² value of 0.9938, 1.00 and 1.00 respectively. Equilibrium studies showed that the adsorption of Ni²⁺, Pb²⁺ and Cu²⁺ ions are well represented by both Langmuir and Freundlich isotherm but the Langmuir model gave a better fit for Pb²⁺ ions with R² value of 0.9950 and Langmuir constant K_L of 4.3383 while Freundlich isotherm model best fit the experimental data of lead(II) and nickel(II) with a R² value of 0.976 and 0.9973 and Freundlich constant K_F value of 4.2677 and 0.0874. The calculated thermodynamics parameters of Ni²⁺, Pb²⁺ and Cu²⁺ ions are ( ΔG^o -1182.49,-5479.1 and 613.48 KJ/mol) showed that the adsorption of Ni²⁺ and Pb²⁺are spontaneous while Cu²⁺ non-spontaneous. The findings indicate that the leaf of Mangiferaindica could be used for the adsorption of Ni²⁺, Pb²⁺ and Cu²⁺ ions from industrial effluents.

Introduction: The city of Wuhan in China reported the first case of coronavirus, termed as SARS-CoV-2, in December 2019. To date, 187,827,660 cases have been reported to the WHO (3). With current research focusing on potential therapeutic agents for the coronavirus disease and vaccines, there remain major gaps in our understanding of the pathophysiology and clinical course of this viral pneumonia. Secondary infections are one of them. In this systematic review, we analyze the outcomes of two fungal infections in patients of COVID-19, viz. Mucormycosis and candida. Methodology: A systematic review has been done on secondary infections with mucor and candida fungi in patients of COVID-19. Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines were used. Twenty-three studies were included in the final analysis. Our review included studies from various countries across the globe. The risk of bias was analyzed using the NIH Quality Assessment Tool for Case Series Studies. This study did not require ethical approval as data was obtained from already available databases, and patients were not directly involved. Results: A total of 23 articles were included in the final review and the total number of patients included was 79 Male: female ratio was calculated to be 1.6 and the average age of patients was 52 years (ranging from 24-86 years). Various types of comorbidities were seen in the included patients, the most common being diabetes mellitus. Among the 18 patients in the cohort of mucormycosis, 7 patients died and four studies did not report patient outcomes. Among the 61 patients, 13 patients died and one patient was still ventilated at the time of publication. Conclusion: Secondary infections after COVID-19 are a cause of major concerns. Further studies and case reports are needed to better understand the various other types of secondary infections and also to formulate strategies to prevent these.

The aim of this study was to determine the phytochemical composition and micrographic charac-teristics of the plants consumed by Okapia johnstoni. The results indicate that each plant species has characteristic microscopic elements for its identification. These plants are rich in phenolic acids, anthocyanins, flavonoids, anthraquinones, coumarins, terpenoids and iridoids. Alchornea cordifolia is richer in total polyphenols (198.53±3.39 mg GAE/g DM) followed respectively by Musanga cer-copioides (91.87±6.71 mg GAE/g DM), Macaranga spinosa (59.65±6.54 mg GAE/g DM), Ficus val-lis-choudae (46.37±2.43 mg GAE/g DM), Cola acuminata (38.83±4.04 mg GAE/g DM), Pycnanthus angolensis (31.96±3.45 mg GAE/g DM), Alstonia boonei (31.55±1.60 mg GAE/g DM) and Trilepisium madagascariensis (25.18±0.99 mg GAE/g DM). As for flavonoids, the highest content is obtained in T. madagascariensis followed respectively by A. boonei, Pycnanthus angolensis, Cola acuminata, M. spinosa, F. vallis-choudae, M. cercopioides and A. cordifolia. The difference in the content of secondary me-tabolites is justified by the fact that their expression in the plant is a function of both abiotic and biotic factors and the specificity of each plant species linked to its genetic make-up. The charac-terization of these chemical compounds is necessary for the formulation of herbal medicines for the management of Okapi ex situ or for human health. Also, the microscopic profiles of the leaves powder of the studied plant species provide relevant information, which may be helpful for the plant authentication and for quality control of raw material.

This paper discusses the analysis of correct digitization practices to follow for maximum performance of the technique. Although it is written for cases that fall within the broader context of culture and cultural heritage, it is ultimately about writing rules that are not limited to the above-mentioned cases, but can be used in more general situations, particularly printed materials. This paper will therefore discuss the technical characteristics of the choice of digital imaging devices and distinguish the types of quality calculation in the different cases of digitized text, digitized manuscript, digitized maps, and photographs.

This study aimed to assess the floristic composition, vegetation structure and species associations of Cashew agro-ecosystems in the North region of Cameroon. The data were collected in 100 m x 20 m transect methods. An analysis of the data collected in the field was conducted around the diversity and richness of the flora, but also the structure of Cashew agro-ecosystems. For the analyzes of vegetation structure, tree density, basal area and biovolume were calculated. The inventory included trees with a dbh greater than or equal to 5 cm on an area of ​​1 ha per plot. The experimental device installed is a complete random Fisher block with five repetitions. A total of 7849 individuals in 17 families, 20 genera and 38 species were recorded. Species Important value of vegetation cover indicated that Diospyros mespiliformis, Anogeissus leiocarpus, Annona senegalensis and Terminalia laxiflora are the most represented. Combretaceae are the most ecologically important families. Additionally, the grouping of species into four subdivisions showed that the Shannon diversity index varies from 2.18 ± 0.09 - 3.47 ± 0.17 bits, Pielou index vary from 0.98 ± 0.01 - 0.99 ± 0.01, Simpson's index ranges from 0.70 ± 0.18 - 0.93 ± 0.11, density ranges from 102 ± 1.92 - 128 ± 6.36 indiv/ha, basal area ranges from 2.02 ± 0.31 - 12.68 ± 2.01 m²/ha, biovolume ranges from 11.58 ± 1.29 - 68.03 ± 13.21 m³/ha. The Sörensen similarity index is very high with floristic affinities greater than or equal to 90%. The diameters and heights structure show a predominance of young individuals for the diameter and height classes on all plots. The most represented species associations are legumes (Arachis hypogeae: 40.54%) and native fruit trees (Vitellaria paradoxa: 15%). These results show the contribution of Cashew agro-ecosystems in biodiversity conservation.

Essentiality of water sustain life, and a satisfactory supply must be readily available to promote health, prolong life expectancy and prevent diseases. This study assesses the sources and quality of drinking water in Piwoyi community of Federal Capital Territory, Abuja, Nigeria. Thirty-five (35) Boreholes and Two (2) Sachet water were identified sources of drinking water in Piwoyi Community. Six Samples (5 Boreholes and 1Sachet water) were selected at random and analyzed in the laboratory. The Physicochemical parameters examined include electrical conductivity (EC), pH, temperature, turbidity, dissolve oxygen (DO), chloride, total hardness, alkalinity, nitrate, calcium, magnesium, phosphate, phosphorous, sulphate, sodium, potassium, fluoride, bicarbonate, nitrate-nitrogen, nitrite, copper, iron and zinc; and Microbiological parameters include Coliforms, E-coli and Faecal Strep. The results of analysis shows significant concentration of physicochemical and microbiological parameters in the samples of water analyzed according to Nigerian Standard for Drinking Water Quality thereby makes the water unsafe for drinking. Drinking from these sources of water will pose serious health risk to the people of Piwoyi Community. Therefore, the study helps to identify the contaminated locations as well as assist to follow emerging remedial measures toward controlling the contamination source in the community. It also recommends continuous monitoring and enforcement of environmental violations, aggressive sensitization on water sanitation and hygiene; adequate purification of water at domestic level; and government support on potable water supply and establish reasonable management strategies for sustainable water quality protection toward protecting public health.

In this study, the effect of energy cost liberalization policies on the cost-effectiveness of wind farms compared to gas power plants has been investigated. To calculate the cost of electricity generation from various sources, including wind energy and fossil fuels, the “levelized cost” method has been used as the most acceptable economic method to compare different types of electricity generation technologies. In addition, calculations related to the cost of electricity, different fuel prices, different technologies of wind farms, and different prices of different types of fuel are considered. Based on the results of this research, it was found that by targeting fuel prices in the country, wind farms are quite cost-effective, and considering the cost of the opportunity to use diesel in the country, the construction of these power plants can provide the possibility of exporting this fuel. This cost also increases with the production of valuable equipment in the country. The important point is that the macro policy should localize the wind turbine industry with priority to its valuable parts and components due to fuel price changes. This policy will continue to make this type of power plant cost-effective in the country and the employment of specialists in the country.

In this study, oil was extracted from Moringa seed using mechanical and solvent methods. To transesterify the oil into biodiesel, factorial design of experiment of 2⁴ was used to obtain different combination factors at different level of reaction temperature, catalyst amount, reaction time and alcohol to oil ratio, giving rise to 48 experimental runs. The oil sample was transesterified in 48 experimental runs, in each case the biodiesel yield was recorded in percentage. The biodiesel was then characterized according to ASTM test protocol. Factorial design model was developed using Design Expert 7.0, the model generated R of 0.987 and Mean Square Error (MSE) of 5.0453 and was used to predict and optimize biodiesel yield. Artificial Neural Network (ANN) model from MATLAB R2016a was developed using 4 input variables and 30 runs, the remaining 18 runs were tested with the ANN model to predict and compare the biodiesel yield with the experimental biodiesel yield, the model generated R value of 0.99687 and MSE of 3.50804. It was found that solvent method yielded more oil than mechanical method, the biodiesel has good thermo-physical property, optimum biodiesel yield of 91.45 % was obtained at 5:1 alcohol/ oil molar ratio, 18.89 wt% catalyst amounts, 45 minutes reaction time and at 45 reaction temperature. The experimental validation yielded 88.33 % biodiesel. The ANN model adequately predicted the remaining 18 runs with R² value of 0.99649 and MSE of 4.914243. Both models proved adequate enough to predict biodiesel yield but ANN model proved more adequate.

Background: Cancer surveillance data provide information on the incidence and trends of cancer in the population level. Analyzing cancer trends according to these characteristics plays an important role in cancer surveillance. Knowledge of the causes of cancer allow better prevent the appearance of it. A large number of epidemiological evidence supporting the effect of smoking on the causes of cancer there is strong evidence supporting a role for smoking in the etiology of cancers. Alcohol appears to interact with the tobacco significantly and can be considered a risk factor in the development of cancers. Obesity which is now well recognized as a public health problem increases the risk of developing cancers. All these factors are characterized by uncertainty, complexity and imprecision. Methods: In this study, we propose an analysis of these factors based on the principles of fuzzy logic inference system. The data were collected from WHO data. As this technique addresses the uncertain, its application in this area is perfectly adequate. Results: A database is established, after the analysis system is done, it will be possible to read the prevalence of cancer by introducing randomly the values in inputs variables. Conclusion: like cancer has become a national scourge, this application allows predicting the impact of it just from the introduction inputs variables such as BMI, degree of physical activity, tobacco and sex.

First, we propose the nonlinear whole seismology and its three basic laws. Next, based on the nonlinear equations of fluid dynamics in Earth’s crust, we obtain a chaos equation, in which chaos corresponds to the earthquake, and shows complexity on seismology. But, combining the Carlson-Langer model and the Gutenberg-Richter relation, a simplified nonlinear solution and corresponding magnitude-period formula of earthquakes may be derived approximately. Further, we research the topological seismology. From these theories some predictions can be calculated quantitatively and are already tested. Combining the Lorenz nonlinear model, we may discuss the earthquake migration to and fro. Finally, if various modern scientific instruments, different scientific theories and some paranormal ways for earthquake are combined each other, the accuracy of multilevel prediction will be increased.

M&A is a strategic concept of business growth through consolidation, gaining market access, increasing strategic positions, and increasing operational efficiency. To understand the dynamics of M&A, this paper looks at aspects such as targeted firm identification, evaluation, bidding for the target firm, and post-acquisition integration. All forms of M&A, including horizontal, vertical, conglomerate, and acquisitions, are discussed in terms of goals and values, including synergy, cost reduction, competitive advantages, and access to better technology. However, issues such as cultural assimilation, adhesion to regulations, and calculating an inaccurate value are also resolved. The paper then goes deeper to provide insight into how predictive analytics applies to M&A, using ML to improve decision-making with forecasting benefits. Including healthcare, education, and construction industries, the presented predictive models using regression analysis, neural networks, and ensemble techniques help to make decisions. Through time series and real-time data, PDA enables sound M&A strategies, effective risk management and smooth integration.

Retirement planning can be a complex endeavor. One consideration is whether or not to invest in an Individual Retirement Account (IRA). The present study compares the effect of several contributions to a traditional, Roth, and rollover IRA. The returns generated for each model are derived from the historic growth rates of the S&P 500 over 40 years. Results are presented in terms of employer match, taxes due, and the number of shares utilized in the long-term investment strategy for each withdrawal method. Results show traditional IRA contributions or Roth IRA contributions are equally matched until employment termination. Taking an active role in managing the investment strategy, possibly by working with a financial representative, suggests a more favorable positioning upon employment termination [1]. Traditional and other pre-tax plans usually do not have an employer match, are usually paired with decreased taxes paid, and the number of shares available to the long-term investment strategy is somewhat reduced. In all cases, risk is increased. Rollover IRAs enjoy a match, lower taxes, and decrease the amount of calculated risk involved. A certified financial planner should be the resource of choice to determine how corporate retirement planning programs fit into the overall investment strategy.

For years, risk assessment and financial calculations have been based on mathematical, statistical, and actuarial studies of existing and historical data. The manual process of building datasets, processing data, deriving trends, identifying periodicities, and analyzing diagnostics is extremely expensive and time-consuming. With the automation and evolution of data science technologies, organizations are now bringing in niche data, such as unstructured data, which contain more disruptive and precise signals for decision-making—thereby making predictions and derivative valuations more robust. This discussion highlights how investment decision-making and financial ecosystem activities are set to be transformed with the power of technical automation, data, and artificial intelligence. A noted trend in the financial investment sector is that financial valuations are highly predictive and highly non-linear in long-term occurrences. To understand these robust evolving signals and execute profitable strategies upon them, the investment management process needs to be very dynamic, open, smart, and technically deep. However, with current manual processes, reaching a high-end asset prediction still seems like a shot in the dark. In parallel, open and democratically developed financial ecosystems query relatively riskless premium opportunities in high-finance valuation and perception. The process of evolving financial ecosystems or the use of automated tools and data to move to unique frontiers could make high-yield profiting opportunities very safe and entirely riskless. Financial economic theories and realistic approximation models support this.