Spline smoothing is a technique used to filter out noise in time series observations when predicting nonparametric regression models. Its performance depends on the choice of the smoothing parameter. Most of the existing smoothing methods applied to time series data tend to over fit in the presence of autocorrelated errors. This study aims to determine the optimum performance value, goodness of fit and model overfitting properties of the proposed Smoothing Method (PSM), Generalized Maximum Likelihood (GML), Generalized Cross-Validation (GCV), and Unbiased Risk (UBR) smoothing parameter selection methods. A Monte Carlo experiment of 1,000 trials was carried out at three different sample sizes (20, 60, and 100) and three levels of autocorrelation (0.2, 05, and 0.8). The four smoothing methods' performances were estimated and compared using the Predictive Mean Squared Error (PMSE) criterion. The findings of the study revealed that: for a time series observation with autocorrelated errors, provides the best-fit smoothing method for the model, the PSM does not over-fit data at all the autocorrelation levels considered ( the optimum value of the PSM was at the weighted value of 0.04 when there is autocorrelation in the error term, PSM performed better than the GCV, GML, and UBR smoothing methods were considered at all-time series sizes (T = 20, 60 and 100). For the real-life data employed in the study, PSM proved to be the most efficient among the GCV, GML, PSM, and UBR smoothing methods compared. The study concluded that the PSM method provides the best fit as a smoothing method, works well at autocorrelation levels (ρ=0.2, 0.5, and 0.8), and does not over fit time-series observations. The study recommended that the proposed smoothing is appropriate for time series observations with autocorrelation in the error term and econometrics real-life data. This study can be applied to; non – parametric regression, non – parametric forecasting, spatial, survival, and econometrics observations.

In this article the investigation of squeezing and statistical properties of light resulting by a non-degenerate three-level laser with the parametric amplifier and coupled to a thermal reservoir have been occurred. With the aid of master equation, stochastic differential equations were obtained. Applying solutions of resulting differential equations, quadrature variance, the mean and variance of photon number, the photon number correlation are calculated. However, the two-mode driving light has no effect on the squeezing properties of the cavity modes. On the other hand, parametric amplifier and thermal reservoir increase the mean and variance of photon number. Furthermore, employing the same solutions, we also obtain anti normally ordered characteristic function defined in the Heisenberg picture. For a linear gain coefficient of (A = 100), for a cavity damping constant of K= 0:8, µ = 0 and for thermal reservoir th = 0, the maximum intra cavity photon entanglement is found at steady state and at threshold to be 60%.

In this article, we discuss a new proposed concept of economic engineering that seeks to innovate a new model by combining the theories of Karl Marx and Adam Smith, taking into consideration main economic factors to create a sustainable and inclusive economic system that addresses existing challenges and provides a roadmap for future economic growth. Through a brief analysis of the existing gaps between Marxist and Smithian economics, we developed a new economic matrix that leverages the strengths of both theories while also incorporating the latest insights from modern economic research. Our novel approach to economic engineering represents a fresh perspective on the economy and offers practical tool for addressing the most pressing challenges facing society today.

Background: Prolonged decline in the ability of the kidney to regulate acid–base balance, eliminate waste products, and manage water homeostasis and entered chronic phase, toxic metabolic accumulates and erythropoietin secretion by the kidney is decreasing and causes hematological changes including decrease of HCT, MCV, RBCs and platelet counts. Hemodialysis became a practical treatment for kidney failure and is the most common method used to treat advanced and permanent kidney failure. Anemia is one of the most common complications in hemodialysis patients. Objectives: The study aimed to evaluate the prevalence of anemia among hemodialysis patients and investigate the variations of hematological parameters among anemic hemodialysis patients in the Tripoli region. Materials and Methods: The present study was conducted on 250 renal failure patients, attending Tripoli Center for dialysis and 100 normal healthy subjects. The study Ethical Committee of the medical centers and the Libyan Academy of graduate studies reviewed and approved the study design and patient consent statements were taken from each patient. Information's about the patients were recorded in a questionnaire. A blood sample of 5 ml was drawn by venous puncture from each normal healthy individual and hemodialysis patient. 2.5 ml of the blood sample was collected in K-EDTA tubes for the hematological examinations and another 2.5 ml of the blood sample was collected in a plain tubes for biochemical tests (serum urea, creatinine, and uric acid concentrations). The hematological parameters (RBCs count, Hb, HCT, MCV, MCH, MCHC, WBCs count, differential count of WBCs, and Platelets count) were determined using an automated hematology analyzer Sysmex (K- 4500) machine. The data were compared using GraphPad Prism version.9. The statistical significance of differences between groups was evaluated with the independent t-test. A P-value of <0.05 was considered significant for all statistical tests. Results: The results showed that the prevalence of anemia among hemodialysis patients was 89.8%. The degrees of anemia were 17% severe, 71.66% moderate, and 11.34% mild anemia. The types of anemia were 13.36% microcytic hypochromic, 82.59% normocytic hypochromic, and 4.05% macrocytic hypochromic anemia. RBCs, WBCs & platelets counts, Hct, MCHC, and Lymphocytes % showed a significant (P<0.01) decrease, and MCV was a significant (P<0.01) increase in the anemic hemodialysis patients compared with the healthy individuals. But, a significant (P<0.05) decrease in MCH was observed in the anemic hemodialysis patients when compared with the healthy individuals. A significant correlation was observed between RBCs and their indices with most of the hematological parameters. A significant (P<0.01) negative correlation was observed between serum urea with Hb, and RBCs count and Hct. While, a significant (P<0.01) positive correlation was recorded between uric acid with platelets count. A significant (P<0.05) positive correlation was observed between gender with platelets count, while, a significant negative correlation was recorded between gender with serum urea (P<0.01), creatinine, and uric acid, and Hb (P<0.05). A significant (P<0.01) negative correlation was observed between blood groups with serum uric acid. A significant (P<0.01) positive correlation was observed between durations of hemodialysis with RBCs count and Hb, while, a significant (P<0.05) negative correlation was recorded between durations of hemodialysis with body weight, and MCHC. Conclusion: It can be concluded that a higher prevalence of moderate, normocytic hypochromic anemia among hemodialysis patients. Also, results showed a significant variation in hematological parameters among the anemic hemodialysis patients. So, hemodialysis patients advice to examine the hematological parameters and treated from anemia if detected.

Studies on the use of pesticides in southwest Nigeria have revealed a substantial rise in a variety of pesticide-related illnesses, including mental impairment and reproductive problems. Those who work in agriculture and are regularly exposed to pesticides are the most impacted. The World Health Organization (WHO) predicts that three million severe pesticide poisoning episodes occur globally each year, with at least 300.000 deaths and 99% of cases occurring in low- and middle-income nations. The effects of longer-term exposure to pesticides on health are not yet precisely estimated. Objectives: To this end, the objective of this study is to assess the knowledge of pesticide residues and common pesticides in grain-based food (brown and white beans, yellow and white maize, brown millet and rice) about pesticide use in selected markets of Southwest Nigeria. Methods: A total of 240 respondents were selected from four states (Ado-Ekiti, Ibadan, Osun and Ondo) with the aid of structured questionnaire and interview guide using purposive sampling technique. The markets were Oja-titun (market) Ile-Ife, Osun; Alesinloye Market Ibadan, Oyo; Oja Oba, Ado-Ekiti, Ekiti; and Oja Oba, Akure Ondo State. The identification and quantification of pesticide residues was done using a Varian 3800/4000 gas chromatograph mass spectrometer while 60 structured questionnaires were administered to respondents including food merchants, buyers/consumers as well as food vendors. Data were analysed using descriptive statistics. Results: The experiment was conducted from November 2020 to November 2021. Up to 50.4% never read instructions on pesticide application while a shared 24.8% read them always and occasionally. The number of respondents who never read the instructions were particularly high in Ekiti and Ondo, up to 52.5% of the respondents in Ekiti do not know whether or not they are exposed to pesticides during application. Also, majority of the respondents never attended any professional training on pesticide application, this amounted to 79.3%. Most people were not aware that unsafe pesticide application is harmful to human health. Similarly, a wide variety of symptoms were reported by respondents following pesticide application or consumption of grains, these included headaches and dizziness, itching and redness of the eyes, skin allergy, diarrhea, and stomach disorder, vomiting and loss of appetite, weakness of the body, asthma, permanent skin patches, shortness of breath, excessive sweating. Millet recorded the highest number of OCP residues while maize had the lowest. On the contrary, maize had the highest number of OPP and carbamate residues while millet had the lowest number of OPP residues. Meanwhile, maize, rice and beans had only one carbamate pesticide residue. Conclusions: According to the study's conclusions, farmers who can only get information from agricultural extension officials should receive urgent and immediate attention for raising awareness. Additionally, extensive IPM training programs must be created with the intention of disseminating precautions for protecting human health and a healthy agro-ecosystem. In order to find more effective pest management methods that utilize less pesticides, it is crucial to reevaluate the pesticide residues and common pesticides found in grains in the targeted markets. To reduce farmers' exposure to pesticides, it is also required to establish personal protective measures, special educational initiatives, and legislation promoting the use of safer pesticides. Significance and novelty: This study gives policymakers a comprehensive understanding of the ways that may be utilized to close the significant knowledge gap on pesticide residues in grains and provides an insight into the knowledge of pesticide residues and common pesticides in grains.

Avian influenza (bird flu) occurs sporadically in American poultry flocks, decimating these flocks and causing substantial economic losses. Avian influenza also impacts the beliefs of food handlers and preparers in the home (home cooks). Although those who properly handle and prepare processed poultry products cannot succumb to avian influenza, there is a widespread belief that one can contract the bird flu from these foods. Beliefs about getting avian influenza from poultry products and intentions to avoid consuming poultry products are the focus of this study of 285 home cooks. False beliefs about getting avian influenza from handling, preparing, and consuming poultry products are apparent in this sample. Correlational analysis also shows that those holding the false beliefs intend to act upon those beliefs by planning not to consume poultry products. Moreover, the false beliefs about contracting avian influenza from poultry products are correlated with a bias to see oneself as less likely to produce food that contains foodborne diseases. These findings are consistent with, and contribute to, the research literatures on belief formation and change, behavioral intentions, and with research showing how guilt by association thought processes underlie false beliefs related to food safety. This research has important implications for poultry and other food processing industries, and for campaigns to persuade the public about real and imaginary risks associated with particular food products.

Poor irrigation water quality due to oil spillage on surface water can result in food insecurity, health and economic challenges. This paper investigated the effect of total petroleum hydrocarbon (TPHC) and lead (Pb) on irrigation water quality in the oil spill prone area of the Niger Delta region of Nigeria. Water samples were taken from five different sections labelled A, B, C, D, and E along the Choba River, in Rivers State, Nigeria. Sections B, C, D and E were direct industrial effluent discharge points while section A was without direct industrial effluent discharge. Standard methods were employed in the water sampling and analysis. Suitability of Choba river water for irrigation was assessed by comprehensive pollution index (CPI) that incorporated salinity, sodicity, and permeability hazard potentials as well as the specific toxicity hazard potentials of TPHC and Pb. Results showed that all primary water parameters except pH were within the Food and Agriculture Organization (FAO) guidelines. The pH was low, ranging between 4.48 and 5.6. TPHC values for four out of the five samples were greater than the 10mg/l guideline as recommended by the Directorate of Petroleum Resources for surface water. TPHC for the four samples ranged between 14.52 and 174.32mg/l. The parameters with the most impact on CPI include EC, PI and TPHC with TPHC having the most impact. Water samples from sections A, B and E with CPI values 0.14, 0.37, and 0.8 respectively were classified in the clean, sub clean and slightly polluted categories respectively, while water samples from sections C and D with CPI values greater than 1 range from moderately to heavily polluted and not suitable for agricultural irrigation. Only water sample A was found suitable for irrigation.

The aim of this article is to examine the impacts of Coronavirus Disease -19 (Covid-19) vaccines on economic condition and sustainable development goals. In other words, we are going to study the economic condition during Covid19. We have studied the economic costs of pandemic, benefits in terms of gross domestic product (GDP), public finances and employment, investment on vaccines around the world, progress and totally the economic impacts of vaccines and the impacts of emerging markets (EM) on achieving sustainable development goals (SDGs), including no poverty, good health and well-being, zero hunger, reduced inequality etc. The importance of emerging economies in reducing the harmful effects of the Corona has also been noted. We have tried to do experimental results and forecast daily new death cases from Feb-2020 to Aug-2021 in Iran using Artificial Neural Network (ANN) and Beetle Antennae Search (BAS) algorithm as a case study with econometric models and regression analysis. The findings show that Covid19 has had devastating economic and health effects on the world, and the vaccine can be very helpful in eliminating these effects specially in long-term. We observed that there is inequality in the distribution of Corona vaccines in rich countries compared to poor which EM can decrease the gap between them. The results show that both models (i.e., Artificial intelligence (AI) and econometric models) almost have the same results but AI optimization models can robust the model and prediction. The main contribution of this article is that we have surveyed the impacts of vaccination from socio-economic viewpoint not just report some facts and truth. We have surveyed the impacts of vaccines on sustainable development goals and the role of EM in achieving SDGs. In addition to using the theoretical framework, we have also used quantitative and empirical results that have rarely been seen in other articles.

Using a desktop review of literature, the effect of illegal capital flows on the economic performance of Sub-Saharan Africa is examined. The review focus on articles with attention to illegal capital flows and their effects on the economic performance of Sub-Saharan Africa as a whole. By way of sampling method, purposive sampling was used, and so the desktop review focused purposively on articles published on issues of illicit financial flows and their effects on the economic performance of Ghana and Sub-Saharan Africa as a whole. The review found a high propensity of trade mis-invoicing and thus high illicit financial flows, transactions across boarders from developing countries and for that matter Sub-Saharan Africa to the developed economies. Therefore, the research recommends that customs divisions in sub-Saharan Africa should have up-to-date commodity-level world pricing information to make relatively better comparisons to detect mis-pricing and avoid such falsification and manipulation in trade. Given the high propensity of trade mis-invoicing resulting in high illicit financial flows, we recommend that cross-border transactions from developing sub-Saharan African countries be subjected to heightened scrutiny to curtail any potential traces of falsification in trade for tax evasion.

In this paper, a new method of detection of election fraud is proposed. This method is based on the calculation of the ratio of two standard normal random variables; estimation of parameters of obtained sample and comparison of these estimates with known theoretical values of parameters. Also in the paper, there is an example of the application of the described method.

Anthyllis hermanniae subsp. brutia, is an Italian endemic shrub occurring just in one locality by the Calabrian Ionian coast in southern Italy. Objective of this study is to provide data on population numbers, demography and ecology, as well as to identify the main threats on the long term conservation of the target taxon. The survey has been carried out through field census work, sampling biometric and dendrometric data, and applying simple statistics. The population, counting totally 962 individuals, is divided in two stands concentrated in the central part of the distribution area. It is restricted to a narrow belt on the inland part of the dune slope encompassed between an artificial pine forest at the dune top, and the dune-specialized vegetation on the slope. Some biometric insights, such as stem diameter, plant height and number of annual rings, suggest the role of micro-ecology in individual shaping. The most relevant threating factor for the long term conservation of this rare taxon is the rapidly spreading Pinus halepensis subsp. halepensis. Local population of this invasive alien species, deriving from planted individuals, is now invading the A. hermanniae subsp. brutia habitat. Chorological and ecological data here provided should hopefully steer further population dynamics investigation as well as any urgent environment management actions.

The main goal of this paper is studying the composite material behavior under microwave which they used in antennas reflectors. For that, a transmission line method based on X- band WR90 rectangular waveguide is used. The Bi-anisotropic electrical properties are defined as tensors in finite element model. The fibers of the single layer composite are oriented in different directions. The S-parameters (S11 and S12) are calculated using COMSOL Multiyphysics, the S-parameters and currents density behavior show that they very affected by the orientations of the fibers which mean must be considered in any design of RF equipments, more the fibers are parallel with the electrical field more the reflection coefficient get higher.

Klopman described the chemical reaction of metal ions and base ions in term of softness, E^‡_n and E^‡_m, respectively. By simple modification of known methods, Singh et al. made it applicable for neutral Lewis acids (transition metal salts) and bases (organic molecules) and also extended its application to biological systems for site selectivity and to explain reaction mechanism (markovnikov and anti-markovnikov rule), ligand-receptor interaction of testosterones, estrogens and tetrahydroimidazobenzodiazepinone. In this study effective atomic softness E^‡_n(eff) and E^‡_m(eff), and their change ΔE^‡_nm have been used for site selectivity and polar interaction between 51 peptidic HIV-1 protease inhibitors and receptor amino acids. ΔE^‡_nm values derived from drug-receptor interaction show that when one moiety on receptor behaves as nucleophile (O of valine amino acid) at the same time maximum electrophilic site of the drug (C-atom of the maximum E^‡_n(eff) value) orient itself to come close the respective site and make maximum interaction, while when another moiety on receptor behaves as electrophilic site (C of isoleucine amino acid), at the same time maximum nucleophilic site of the drug (O-atom of the maximum E^‡_m(eff) value) also orient itself to come close the respective site and make maximum interaction.

Nowadays, graphs including bigraphs are mostly used in various real-world applications such as search engines and social networks. The bigraph or bipartite graph is a graph whose vertex set is split into two disjoint vertex sets such that there is no edge between the same vertex set. The bipartite graphs are colored using only two colors. This article checks if a given graph is bipartite or not and finds the color assignments of the bipartite graph using Java implementation.

From 2020 to 2022 the Covid-19 was spread and many people died. Death is near to everyone. The aim of the study was to investigate differences of concept of good death and view of life and death cross cultural. Participants were 92 Japanese, 110 Korean and 100 American who were ordinary people. We used the Good Death questionnaire to measure desirable death and the Death Attitude Inventory to measure view of life and death. Participants completed both questionnaires. As for Good Death, Japanese and Korean regarded “not being burden to others” as important the most, and American regarded “feeling that one’s life is worth living” as important. The scores of “unawareness of death” and “religious and spiritual comfort” of Korean were the highest, following American, and Japan. As for the Death Attitude Inventory, the score of American was higher than Japanese and Korean totally. The scores of “Death as release” or “Death Avoidance” of American were the highest. These results suggest that although Japanese and Korean regard “Not being burden to others” as important in common, Korean regard religious and spiritual comfort as important. American may avoid to think of death and regard it as release. We can make use of these cultural differences in clinical situation.

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.

The characterization of rock mass along the tunnel alignment based on physical, geological and geotechnical data of the project area was used in this work. The support systems were recommended for all geotechnical units using RMR and tunneling quality index (Q-system) support chart. The paper also consists in making a two-dimensional numerical study of the stability of the left lateral slope of the Portal of the tunnel with the Slide 6.0 software and inside provisional support with the Phase.2 2D program. The study shows good results of the internal rock mass stability of the tunnel and satisfactory safety factor (FoS) in terms of collapse analyzes of the lateral slope of the tunnel portals.

The reduction of the native forests coverage in mainland Portugal increased in the past centuries, leading to a marked decrease in biodiversity in general, especially on typical species of mature forest environments. However, urban biodiversity seems to resist more effectively than rural to disturbances due to the lower incidence of fires, as well as to agriculture expansion. Thus, in this work, we analyzed the dynamics of the natural vegetation potential in each biogeographic sector, and selected, based on the evolutionary stages of the vegetation, a set of priority taxa for conservation. The criteria used are intended to highlight plants with ornamental value, but at the same time, some of them have high patrimonial value, belonging to the Red List of Vascular Flora of Mainland Portugal or protected by Annexes II, IV and V of the Sectorial Plan of the Natura 2000 Network at the European level. Our analysis resulted in the identification of 62 plants that can be increased in public spaces in order to improve their conservation status. For each biogeographic sector, the plants best adapted to the local edaphoclimatic conditions are presented. Forest habitats can now, through micro-reserves in urban areas, ensure their long-term conservation and greater awareness among the population. An integrated planning, where the socio-ecological strategy is designed for the long term, will benefit the quality of life of citizens in an urban environment. Furthermore, the creation of micro-reserves in urban parks (gardens) can prevent the extinction of many botanical values in the landscapes of the western Mediterranean Basin.

Acute diarrhea is a common affection, among children under 59 months old in Sub-saharan Africa and Asia known to be a global public health concern. It is responsible for significant mortality in developing countries. The main purpose of this study was to identify drivers of acute diarrhea in mothers of children aged 6-59 months in Kinshasa households. This study was conducted in two health areas in Kinshasa namely Centre Supérieur Militaire Mobikisi and Hopital Militaire Central. It is a cross-sectional study of analytical type having a correlational design. In fact, 114 mothers having children aged 6 to 59 months old who had experienced at least three diarrheal episodes were selected and this research was carried out in January 2020. Independent variables were socio-economic factors and dependent variables were biological factors. Descriptive statistical analyses of which frequency and percentage were performed to describe the sampling profile. To measure the strength of association between different variables, the Pearson's Chi-Square (X²) test was used. The findings showed that 57% live in a high socio-economic environment compared to 43% who have a low socio-economic environment responsible for the occurrence of acute diarrhea. It was observed that 67.7% of participants knew the importance of access to health care services, compared to 32.3% who did not know. Meanwhile, 50.8% lived in a healthy environment versus 49.2% who had an unhealthy environment. Furthermore, 53.8% were in an acceptable demographic and biological situation, compared to 46.2% who were in a precarious demographic and biological situation. Acute diarrhea in children aged 6-59 months is one of the causes of morbidity and mortality in Kinshasa city. Obstacles to effective care are related to the lack of quality service provision. Policy makers must therefore put in place interventions to address these challenges in order to reduce infant morbidity and mortality in this area.

The objective of this work is to materialize the learning of geobotanical concepts, and a methodology for the interpretation of the landscape, which allows the student to acquire practical knowledge, to obtain sufficient autonomy that allows him to join the labor market. Regarding the methodology, 100 field samples are taken for 3 years, and the participation of 60 students. The evaluation is carried out through reports on the field study. The landscapes of various areas of southern Spain are studied. For this we rely on the methodology previously established by other researchers, through which a complete diagnosis of a territory is reached, since the series and geoseries of vegetation are revealed. Being a study of natural reality, the abstract character presented by concepts such as sigmetum, sinassociation, series, geoseries, climatophilous, edaphoxerophilous, chain; it is perfectly clarified to the student, which makes the student progress efficiently, coming to the fore the acquisition of practical knowledge compared to theoretical ones. For this reason, practical teaching acquires preponderance, since it not only provides knowledge, but also development of cognitive and psychomotor skills, which are essential in the acquisition of skills and development of the individual's personality.