A zoonotic disease is an infectious disease caused by pathogens such as bacteria, virus, rickettsia, fungi, parasite or prion that has been transmitted from an animal, especially a vertebrate to human beings. Usually, the first infected human transmits the infectious agent to other humans very rapidly; it is one of the important concerns of zoonoses. The World Health Organization (WHO) currently list the Emerging infectious diseases (EID) of epidemic issues in their research and development blueprint as COVID-19 (Corona viruses), Middle East Respiratory Syndrome (MERS), Severe Acute Respiratory Syndrome (SARS), Ebola and Marburg viruses (Filovirus), Crimean Congo haemorrhagic fever (Nairo virus), Lassa Fever (Lassa virus), Nipah (Henipa virus ), Rift Valley fever (Phlebo virus) and Zika (Flavi virus). Due to the deadly pandemics facing by the globe, it is essential to understand the way of transmission of emerging viruses, its mode of infection and important measures to eliminate or control them from the world is essential. However, mankind overcomes so many deadly viruses with the help of scientific knowledge, through vaccination, new therapies, drugs etc. Nowadays, viral zoonoses like rabies (Lyssa virus) are 100% preventable through vaccination and medication even though, humans face lots of new threats especially emerging zoonosis diseases like Covid19. This review summarized the major zoonotic viruses affecting human beings, their source, pathogenicity and its important ways to overcome the transmission of microbes from animal to humankind.

Dr. saranya devi k

Object: The main purpose of the research is to develop modern tools for insurance management in the global economic crisis, to make an objective assessment based on a critical analysis of existing ones, to identify situations that could lead to international economic, social, and natural threats. It is made some recommendations for the development of insurance calculations for the republic of Uzbekistan. Methods: Methods for reforming modern calculation of insurance tariffication are recommended by means of theories of probabilities, statistical and mathematical analysis, and foreign advanced countries practical types of summarizing. Findings: While making an analysis, it has found that modern tools for the insurance management of Uzbekistan are needed. We proved this by the results of the modern calculation of insurance. For the development of the insurance market of Uzbekistan, it should be analyzed by means of penetration and density of insurance premiums, making the deepest calculation of risks of the economy of Uzbekistan, and using the main principles and formulas of the theory of probability. Conclusions: In the end, we can take some results, and give some recommendations such as using the tools of theories of probabilities can help us find the main risks of economy, it’s powers of influences of the market economy, statistical and mathematical analysis also add some practical, objective results for making under control of any types of insurance risks

Ikboljon odashev mashrabjonovich

The unprecedented global effort to develop and distribute COVID-19 vaccines has highlighted remarkable scientific achievements and persistent inequities in access across populations. Analyzing of regional vaccine deployment patterns reveals critical insights into pandemic response dynamics, shaped by manufacturing capacity, regulatory frameworks, procurement strategies, and regional health priorities. Data from WHO regions (Africa, the Americas, Eastern Mediterranean, Europe, and Western Pacific) demonstrate significant disparities in vaccine types and suppliers, underscoring the complexity of global vaccination efforts. (Figure 1) illustrates this regional vaccine distribution by WHO regions.

Karishma

The main purpose of the paper is to determine the correlation of consumers' demographic factors on the impulse buying behavior with respect to a number of single impulsivity indicators and one collective indicator. The paper consists of theoretical and research aspects. The first part encompasses theoretical insights into the secondary research regarding impulse buying while the practical part presents the methodology and primary research results. With respect to the subject matter, research goals as well as previous findings and primary research results, corresponding hypotheses were set and mainly confirmed. Inter variable correlation and regression analysis has been performed to test the hypothesis. The results showed that demographic factors, such as the disposable income and age, are related to most impulse buying indicators and to the impulsivity collective indicator. However, educational qualification and gender produced marginal association with impulsive buying behavior. The paper also summarizes research limitations as well as the work contribution and future research guidelines.

Abu bashar

One of the most important challenges for a company is to manage its supply chain efficiently. One way to do this is to control and minimize its various logistics costs together to achieve an overall optimization of its supply network. One such system that integrates two of the most important logistics activities, namely inventory holding and transportation, is known as the inventory routing problem. Our replenishment network consists of a supplier that uses a single vehicle to distribute a single type of item during each period to a set of customers with independent and deterministic demand. The objectives considered are the management of supplier and customer inventories, the assignment of customers to replenishment periods, the determination of optimal delivery quantities to avoid customer stock-outs, the design and optimization of routes. A genetic algorithm (GA) is developed to solve our IRP. Different crossover structures are proposed and tested in two sets of reference instances. A comparison of the performance of different crossover structures was established. Then, it was used to find the most appropriate crossover structure that provides better results in a minor computation time. The obtained results prove the competitiveness of GAs compared to literature approaches, demonstrate the performance of our approach to best solve large scale instances and provide better solution quality in fast execution time.

Mohamed salim amri sakhri

The quality of software systems may be seriously impacted by specific types of source code anomalies. For example, poor programming practices result in Code Smells (CSs), which are a specific type of source code anomalies. They lead to architectural problems that consequently impact some significant software quality attributes, such as maintainability, portability, and reuse. To reduce the risk of introducing CSs and alleviate their consequences, the knowledge and skills of developers and architects is essential. On the other hand, ontologies, which are an artificial intelligence technique, have been used as a solution to deal with different software engineering challenges. Hence, the aim of this paper is to describe an ontological approach to representing and analyzing code smells. Since ontologies are a formal language based on description logics, this approach may contribute to formally analyzing the information about code smells, for example, to detect inconsistencies or infer new knowledge with the support of a reasoner. In addition, this proposal may support the training of software developers by providing the most relevant information on code smells. This ontology can also be a means of representing the knowledge on CSs from different sources (documents in natural language, relational databases, HTML documents, etc.). Therefore, it could be a valuable knowledge base to support the struggle of software developers and architects either to avoid CSs or to detect and remove them. The ontology was developed following a sound methodology. The well-known tool Protégé was used to manage the ontology and it was validated by using different techniques. An experiment was conducted to demonstrate the applicability of the ontology and evaluate its impact on speeding up the analysis of CSs.

Mehdhar s. a. m. al-gaashani

Tomato is one of the most important vegetables worldwide. It is considered a mainstayof many countries’ economies. However, tomato crops are vulnerable to many diseasesthat lead to reducing or destroying production, and for this reason, early and accuratediagnosis of tomato diseases is very urgent. For this reason, many deep learning modelshave been developed to automate tomato leaf disease classification. Deep learning isfar superior to traditional machine learning with loads of data, but traditional machinelearning may outperform deep learning for limited training data. The authors proposea tomato leaf disease classification method by exploiting transfer learning and featuresconcatenation. The authors extract features using pre-trained kernels (weights) fromMobileNetV2 and NASNetMobile; then, they concatenate and reduce the dimensionalityof these features using kernel principal component analysis. Following that, they feedthese features into a conventional learning algorithm. The experimental results confirmthe effectiveness of concatenated features for boosting the performance of classifiers.The authors have evaluated the three most popular traditional machine learning classifiers,random forest, support vector machine, and multinomial logistic regression; amongthem, multinomial logistic regression achieved the best performance with an averageaccuracy of 97%.

Mehdhar s. a. m. al-gaashani

Community pharmacies not only act as sites of drug purchase but also as healthcare setting. The aim of this study is to examine the extent of public’s use of community pharmacy and their reasons of visiting to Sabha, South part of Libya. Thus, a descriptive, cross-sectional survey with self-administered questionnaire was developed and validated. Data was collected during 2019 by registered pharmacists using the self-designed prepared questionnaire for community pharmacies in Sebha. Of all 600 questionnaires were handed during 2020, 462 forms were returned (77%, response rate). The majority of the respondents reported they had visited the community pharmacies at least once in a month (n = 343, 74%). The highest reason of visiting reported by the respondents was dispensing their prescription medications (n = 304, 65%) while purchasing medication without prescriptions was accounted with n = 162, (35%). The highest rate of the respondents was given advice about antibiotic use (n = 224, 48%) followed by physical exercises (n = 178, 39%) and healthy eating (n = 173, 37%). The majority of the respondents preferred to visit community pharmacy over other healthcare centers because of minor health problems (n = 358, 77%). The major factors influence the consumers choose any particular pharmacy were the professionalism of pharmacy staff (n = 254, 55%) and the availability of the medical products (n = 221, 48%). The respondents incline to choose community pharmacy as a primary health center when they faced drug related problem (n = 248, 54%). In conclusion, the current study revealed that the majority of Libyan people are regular users of community pharmacies and various services and topics of advice have been given by their staff. However, shortage of professional pharmacists in community pharmacies can undermine the opportunity of given reliable pharmaceutical care from these communications.

Mediterranean journal of pharmacy and pharmaceutical sciences

The samples of K1-xNaxNbO3 (X=0.4, 0.2, 0) ceramics (PSN) have been prepared by the conventional solid state reaction method and sintering process. The prepared samples have been characterized by XRD. All the prepared samples show orthorhombic structure at room temperature. Dielectric and Electrical properties of PSN system have been investigated in the temperature range 450C-2450C, and at 1MHz frequency. It is observed that dielectric constant, loss tangent and electrical conductivity increases with increasing temperature. Near the transition temperature dielectric constant, loss tangent and electrical conductivity of these samples show anomalous behaviour with temperature.

Manish uniyal

The latest phase of capitalist expansion is called “globalisation”. That no state is an autarky but enjoys comparative advantage over others with certain resources and that free trade among these states would work for mutual benefit is the essence of it. Consequently, it advocates the minimization of the governmental intervention in economic affairs and encourages free play of market forces to foster economic development. The argument that this rationale is also applicable to higher education is increasingly gaining currency. But this paper attempts to problematise such a proposition and in contrary argues that this may prove inimical to national development. Education and especially higher education is considered to be one of the factors that help state to promoting national development. However, apologists of globalisation call for its commercialization and argue for the “withdrawal of the state” from this realm. This has only resulted in mystifying profound class inequalities within and without state. Higher education in India is not immune to this ideology in the guise of good economics. It is being structured in such a fashion since 1991 that it has been primarily coupled with the process of economic liberalization and privatization. International financial institutions like World Bank, IMF, GATT, GATS, etc are its votaries. Education was acknowledged as one of the key sectors to be traded. As a result, higher education as a “social good” is fast shifting to being a commodity in the market.

Dr gedam kamalakar

This study aims to examine and compare the levels and patterns of aggressive behavior among higher secondary students in rural, semi-urban, and urban areas. Aggression among adolescents is a significant concern, and understanding its variations across different settings can provide valuable insights for intervention and prevention strategies. The study employs a review-based research design, using articles published between 1993 and 2023 to collect data on aggressive behavior of higher secondary students. For this purpose, a review of the literature was performed by using the search words “aggressive behavior”, “higher secondary students”, “rural”, “semi-urban”, “urban” in the databases like Google Scholar, ResearchGate, Academia, Shodhganga, PubMed, JSTOR and Elsevier for articles. The results will shed light on the prevalence, types, and potential factors influencing aggression in these areas, informing the development of targeted interventions and policy recommendations and statistical analyses will be employed to examine the relationships between variables. Importance and Scope of the Topic: Aggressive behavior is a topic that affects us all. From playground bullies to road rage enthusiasts, aggressive behavior has a significant impact on our daily lives. Understanding the causes and consequences of aggression is crucial in finding ways to prevent and manage such behavior. After all, the world would be a much better place if we all knew how to calm down and express our frustrations in healthy ways.

Abdul jaleel kuzhiyengal mambra

This study was conducted to proposea hierarchical temporal memory (HTM) approach for fault detection in the Onitsha-Alaoji transmission line in Nigeria. Using a mixed research method, the study employed the Hawkins HTM model with two objectives and their corresponding research questions. The study gathered primary and secondary data to detect and evaluate faults in the Onitsha-Alaoji transmission line in Nigeria using HTM and compares its efficacy to current fault detection methods. With the use of simulation and descriptive methods of data analysis, results showed that partial discharge (PD) is the fault type that is being detected and it is commonly found as a fault leading to transmission line errors. More so, fault detection simulations were conducted at 40 km using typical power spectral density analysis. The first fundamental shifted from about 10 kHz to roughly 13 kHz during a fault. The HTM model outperformed sequence learning methods, resulting in a 90% mean test classification accuracy (CA) over extreme learning machine(ELM) and online sequential learning–extreme learning machine (OS-ELM), with OS-ELM performing poorly.The study concluded and recommended that the proposed HTM model be used to identify various PD fault types that plague the Onitsha-Alaoji transmission line in Nigeria. With the increased efficacy and reliability of the proposed model compared to existing methods, it is recommended for future implementation in this transmission line and potentially other fault-prone power transmission lines in Nigeria.

Fxintegrity publishing

Formulation of the least cost rations that provides the nutrient requirements of birds is an important goal in poultry production . The aim of the present study was to create an application in the Excel program for formulation of low-cost poultry diets that provide adequate nutritional requirements using linear programming based on the Solver function of the Excel program and composition of common feed ingredients used in poultry diets (yellow corn, wheat, soybean meal , barley, wheat bran, protein concentrate, limestone, table salt, di-calcium phosphate, vitamins and minerals premix ,and vegetable oil), if their default prices are 500, 450, 750, 350, 250,1750, 250, 100, 500, 4500,and 1500) Iraqi Dinar / kg, respectively. The results showed that the Solver function in - Excel can be used to solve linear programming models such as those used for formulation of least cost poultry rations. This Microsoft Excel application is ready to use and can be used to assist researchers and students in formulating poultry rations that provide the desired nutritional requirements of poultry at the lowest cost.

Rafea mohammedtaher khulel

Monitoring and controlling of clean area environment is of paramount importance to ensure product safety and quality. This comprehensive analysis evaluates environmental monitoring (EM) data from Class C and Class D controlled environments in pharmaceutical manufacturing, utilizing Active Air (AA), Passive Air (PA), and Contact Plate (CP) or Replicate Organism Detection And Counting (RODAC) surface samples. The study aims to identify contamination trends, anomalies, and compliance with ISO 14644-1 and EU GMP Annex 1 standards. Results reveal unexpected findings: Class C Active Air (43 CFU/m³) and RODAC (3 CFU/plate) overall averages are higher than Class D Active Air (34 CFU/m³) and RODAC (2 CFU/plate), respectively, deviating from expected cleanroom classification. Class D Passive Air (22 CFU/plate) is higher than Class C (17 CFU/plate), aligning with expectations. Persistent hotspots were identified in Class C (e.g., location labelled “AA C 12 NG0”AA averages± Standard Deviation (SD): 67.33±17 CFU/m³), indicating localized control failures, while Class D showed extreme individual spikes (e.g., AA D 99 Ac: Max 171 CFU/m³). Sporadic contamination events in Class C suggest transient breaches, necessitating root-cause investigations. The study also highlights limitations of Class D monitoring, which obscures temporal trends and risks missing critical excursions due to long intervals between samples. Recommendations include targeted engineering assessments for high-load zones, enhanced Standard Operating Procedures (SOPs) for cleaning and gowning, adoption of real-time biofluorescent particle counters to replace manual sampling, and increased monitoring frequency in Class D hotspots.

Mostafa eissa

The decision of the government of India to allow foreign direct investment in higher education is based on a consultation paper prepared by the commerce ministry, which is marked by arguments, perverse logic and forced conclusions. FDI in any field does not have an attached objective of fulfilling social agenda of the welfare state. It is guided by profit and market. This would result in commoditization of education. As per past most foreign institutes invest in technical courses which market needs rather than in quality education and research which is important for creating and developing human resource. There is a shortage of funds in higher education sector. Here are not many ways in which this investment in this sector can be increased in this sector domestically. Since a large number of students go abroad for their higher education, it is sensible to allow foreign universities to set up their campuses here, in India. This would help in arresting the outflow of monetary and human capital. Further, foreign higher educational institutes would create competition with the local institutes making them internationally competitive this article examines the issues and financial compulsions, presented in the consultation paper

Dr gedam kamalakar

Penilaian autentik ini bertujuan untuk mendeskripsikan pengetahuan guru serta menggambarkantugas-tugas riil bagi siswa untuk menghasilkan pengetahuan, sikap dan keterampilan. Teknik pengumpulan data yang digunakan adalah observasi dan wawancara. Focus penelitian ini (1) bagaimana penilaian kompetensi sikap pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? (2) bagaimana penilaian kompetensi pengetahuan pada pembelajaran tematik di MI Darussalam 01Bagon Puger Jember?, (3) bagaimana penilaian kompetensi keterampilan pada pembelajaran tematik di MI Darussalam 01 Bagon Puger Jember? Hasil dari penelitian ini menunjukkan: (a) penilaian kompetensi sikap meliputi sikap jujur dan disiplin, dimana mudah didalam teori, namun sulit untuk menerapkannya. Tergantung dari guru favorit masing-masing, proses pembelajaran tergantung pada materi pelajarannya, dan juga berkaitan dengan nilai atau norma. (b) Penilaian kompetensi pengetahuan, meliputi: tes tulis, tes lisan, dan penugasan, baik penugasan terstruktur dan tidak terstruktur. (c) Penilaian kompetensi keterampilan meliputi: penilaian kinerja, penilaian proyek, dan penilaian portofolio.

Educare: journal of primary education

Regularly used toothbrushes can be heavily contaminated with microorganisms, while inappropriate storage may increase the microbial load on these toothbrushes. Toothbrushes Microbial contamination can help to transmit many diseases, especially for people with mouth and/or Gum problems. This study aims to find the easiest and most available way to sterile toothbrushes at home. 24 adult volunteers were divided into four groups, the first three groups were asked to sterilize their toothbrushes with Dettol, water salt and hot water, while the fourth group toothbrushes were a positive control. Results showed that toothbrushes sterilized with Dettol gave the least contamination rate of 12.5%, toothbrushes sterilized with salt came next with 37.5%, while toothbrushes sterilized with hot tap water were the next with 50%. The toothbrushes of the fourth group which was used as the positive control were totally contaminated with different types of bacteria. Six bacterial agents were isolated; they are Staphylococcus Sp., Streptococcus sp., Bacillus Sp., E.coli, Pseudomonas Sp., and Salmonella sp. It was concluded that the use of Dettol was very effective in reducing the number of contamination of toothbrushes but its unacceptable flavour limiting its use. Other volunteers were comfortable with the use of salt and hot water as it was almost effective. The research suggests a group of recommendations to avoid the transmission of pathogens through toothbrushes and ensure healthy usage.

Kamal singh

Vitamin E is extensively available in the natural world and is produced by prototrophs such as plants, algae, and blue-green algae. Vitamin E is used as a dietary supplement, an antioxidant food stabilizer, a pharmaceutical additive, and a preservative in livestock feed. Several types of vitamin E can be differentiated by the position and number of the methyl functional group, and each form has a unique biological role. The function of antioxidants such as vitamin E is to defend cells from the effects of oxidative stress. Vitamin E is a free radical scavenger converted to vitamin E radical, then converted back to vitamin E by ascorbic acid. Vitamin E was discovered by Evans and Bishop in 1922; it has proved to be an effective nutrient for reproduction. It is also possible for vitamin E to act by a mechanism not directly linked to the inhibition of oxidation. Such non-antioxidant actions of vitamin E may result from gene regulation and specific cell signalling. The function of vitamin E in cellular signalling, especially its biological impact, is undoubtedly an imperative subject for future studies. The explicit roles of the several isomers and esters of vitamin E analogues should also be the subjects of future studies.

Dr. salman ahmed

This proposed work is used to optimize the costs of exceptional elements of machine cells for a variety of components in changing environments to have reduced material movements in cell layout. The exceptional ele¬ments are eliminated in the optimization model by doing machine duplication and part subcontract. Then the shop floor layout is designed to have optimized material movements between cells and within a cell. The result of a linear programming optimization model is cost savings, machines duplicated, parts subcon¬tracted, inter intracellular movements. Finally, the output of the inbound facility design is the floor layout which has machine cell clusters with optimized floor areas. The optimization model is provided with budg¬etary constraints for duplication and the economic tradeoff between machine duplication and part subcontract. Cell layout is prepared to reveal the saving in floor area and material movement lengths than in process layout with the help of distance matrix and dimensions of cells.

S ramesh

Food nutrients are essential for the growth and development of human. In several parts of the world, Cocoyam (Colocasia esculenta), is a tropical root crop cultivated for food formulations and consumption by humans. This study was conducted to assess the nutritional evaluation (weight gain, protein efficiency ratio, net protein retention, and biological value) of the processed cocoyam, soya bean (Glycine max) flours and their blends by feeding trials using Albino rabbits. The sun-dried samples were milled to size (sieve with 25 µm aperture size) to obtain homogenous flours. Blends were obtained with various ratios according to the percentage of soya bean/cocoyam flours. The biological value, protein efficiency ratio, and net protein retention were analysed using standard methods for the calculations. Net protein retention of soya bean flour was higher than that for cocoyam flour. The highest biological value was given by the 50% blend, while the lowest was given by the control diet. The higher the protein efficiency ratio values, the higher the protein quality. The highest protein efficiency ratio value was given by soya bean flour, while the lowest value was from Cocoyam flour. The best blend of Cocoyam and soya bean flours obtained based on chemical and nutritional evaluations was the 50% blend of soya bean and Cocoyam flours.

Mediterranean journal of pharmacy and pharmaceutical sciences