bluuebunny/crossref_metadata_2025 huggingface dataset:
Simple Use of Low-cost and Available Adsorbent for Cationic Dye Adsorption from Aqueous Solution
Authors: Ouéda Nombamba , Tchakala Ibrahim , Sanni Samadou , Bawa Moctar
Published: December 2024

The aim of this work was to study the adsorption of methylene blue (MB) on local agricultural waste in the batch process. The adsorbent, washed rice husk (WRH) was subjected to some physical and chemical analyses such as EDX/SEM, FT-IR, XRD and XRF. The adsorbent showed an amorphous structure and dominated by silica in its composition. The influence of adsorption parameters such as contact time, adsorbent dose and initial concentration was studied. The mass of washed rice husk (WRH) varied at 1 to 6 g, the initial concentrations MB (50-250 mg/L) and the contact time (10-90 min). The MB removal percentage reached 86% with a WRH amount of 4.5 g and an optimal time of 30 min. Langmuir and Freundlich isotherm models were used to process the adsorption data. Qmax, the maximum adsorption capacity of MB from Langmuir’ model was 13.23 mg.g-1. The values of the RL constant varying between 0-1 for the initial concentrations studied proved that the adsorption is favorable. The value of the parameter n being less than 1obeys the condition of heterogeneity. Pseudo-first order and pseudo-second order models were used to study the kinetic adsorption process. The kinetic parameters calculated from each model showed that the adsorption of MB on the WRH could be describe by the pseudo-second order.
The Existence and Uniqueness Results for a Nonlocal Bounbary Value Problem of Caputo-type Hadamard Hybrid Fractional Integro-differential Equations
Authors: Taier Ala , Wu Ranchao , Benyoub Fatima
Published: December 2024

This article is dedicated to study the existence and uniqueness of solutions for a non local bounbary value problem of Caputo-type Hadamard hybrid fractional integro-differential equations in Banach space, the recent researches considered the study of differential equations of Caputo-type Hadamard hybrid fractional integro-differential equations with classical order and the study of existence and uniqueness of solutions using approched numerical methodes, the objective of this paper is the study of the existence and uniqueness of fractional order of integro-differential equations involving the Caputo-type Hadamard derivative using fixed point theory. This work have two important results, the first result was the discussion of a new results owing to the fixed point theorem. Before the prove of results the problem was trandformed to Hadamard type problem. The first result based on Dhage fixed point theorem, after transforming our nonlocal boundary value problem into integral equation we defined operator equation, then we applied the fixed point theorem to get the existence resutl. The second result was the existence and uniqueness of solution for our nonlocal boundary value problem, we get this result using the Banach fixed point theorem. We illustrate our results by example to ending our theorical study.
Using Digital Learning Tools During the Ongoing MPOX Response in Africa: Proposing a Strategy
Authors: Nana Rudy , Gara Lydia
Published: December 2024

On August 14, 2024, the Monkeypox outbreak was declared a Public Health Emergency of International Concern (PHEIC) by the World Health Organization (WHO) shortly after the Africa Centers for Disease Control and Prevention (Africa CDC) labelled it a Public Health Emergency of Continental Security (PHECS). A continental plan to scale up the Mpox outbreak response was launched. The engagement of stakeholders, including health workers, communities, and various other parties, is crucial to the success of this endeavor. Digital learning technologies have significantly improved the efficiency of major public health education campaigns worldwide but in Africa their full potential is not yet harnessed. As digital literacy grows in Africa, people are increasingly able to communicate and receive information using digital platforms. Digital citizenship opens a new era of opportunities and digital citizens represent a pool of remotely accessible individuals. In 2024, over 534 million registered mobile phone subscriptions occurred in sub-Saharan Africa. Our objective was to review the various digital learning methods that health workers and communities could utilize to enhance case management, improve general awareness and literacy on Mpox, then, propose a deployment strategy. Videos shared on social networks, podcasts, thematic websites, virtual learning communities, AI chatbots and MOOCs are available tools. The proposed short-, mid-and long-term strategy will function only if there is a common vision and ownership among all stakeholders, as well as availability of internet connectivity and data assessment.
Modeling the Dynamics of Quasi-Zero Stiffness Vibration Isolator of Shape Memory Alloy Spring Using Matlab Software
Authors: Abubakar Rabiu
Published: December 2024

This study investigates the dynamic behavior of a quasi-zero stiffness (QZS) vibration isolator integrated with shape memory alloy (SMA) springs to achieve enhanced vibration isolation performance. QZS isolators are designed to mitigate vibrations effectively in low-frequency environments by combining linear and nonlinear stiffness elements to achieve a near-zero effective stiffness around the equilibrium position. The inclusion of SMA springs introduces unique properties such as shape memory effect and pseudoelasticity, enabling tunable stiffness and damping characteristics.. A comprehensive mathematical model of the isolator is developed, incorporating the nonlinear force-displacement behavior of the SMA spring based on thermomechanical coupling and constitutive relations. The dynamics of the system are analyzed under harmonic and random excitation, and key parameters influencing isolation performance, such as temperature, pre-compression of the SMA spring, and system damping, are systematically explored. Numerical simulations reveal that the SMA-based QZS isolator exhibits superior vibration attenuation compared to traditional isolators, with the added benefit of adaptability to changing operational conditions. It is demonstrated that the resonant frequency of the proposed isolation system is near zero. Numerical simulations are carried out, and the influence of the excitation amplitude and frequency on vibration isolation are studied. It is shown that a quasi-zero dynamic stiffness is achieved; hence the feasibility of the proposed system for low-frequency excitation isolation is validated.
Entrepreneurship Development and Poverty Nexus: The Case of Niger Delta Villages, Nigeria
Authors: Justina Oboreh
Published: December 2024

Entrepreneurship has long been seen as a potent means of reducing poverty, especially in developing nations. Many Nigeria government policies over the years were meant for the achievement of targeted objectives on the development of indigenous entrepreneurship. The Niger Delta is plagued with poverty, underdevelopment, and social instability in spite of its wealth. The area is approximately 26,000km2 and is the third largest delta area in the world. It is rich in the flora and fauna, it accounts for about 90% of Nigeria’s Crude oil, which is the major plank upon which the economy rests. Aside from these reserves, the region is the second largest palm oil producer in the world next to Malaysia. The region is also blessed with potential in fishery, forest products and good climatic conditions that support tourism and wildlife. This study examines the relationship between corporate growth and the fight against poverty in the Niger Delta region of Nigeria. This study uses a mixed-methods approach to evaluate how entrepreneurship promotes economic growth and reduces poverty. The key findings shows that, while entrepreneurship has a lot of promise to decrease poverty, structural barriers such as poor infrastructure, limited financial resources, and uncertain business climate make it difficult to thrive. The paper concludes with policy proposals that may promote entrepreneurship as a viable route of overcoming poverty in the Niger Delta Villages.
Exploring the Potential of Big Data Analytics in Enhancing CSR in the Oil and Gas Industry
Authors: Alabi Oluwaseyi , –Balogun Oyeyemi , Airemen Solomon , Fasina Ayotunde
Published: December 2024

The oil and gas industry are increasingly under pressure to prioritize Corporate Social Responsibility (CSR) due to heightened environmental concerns, social scrutiny, and evolving regulatory demands. Big Data Analytics (BDA) presents a transformative opportunity to enhance CSR performance within this sector. This study investigates how BDA can improve CSR outcomes in the oil and gas industry, focusing on three key areas: environmental sustainability, social impact, and governance. By leveraging large datasets to uncover patterns, BDA can aid companies in refining their CSR strategies, forecasting and managing risks, and measuring impact more effectively. The study made use of a panel dataset containing total assets of ten years, as well as measurements based on accounting on investments, financial performance, and activity disclosures. The findings reveal that multinational corporations operating in developing countries pay considerable attention to various critical aspects of their CSR policies. Notably, there was a significant positive correlation between the sustainability of financial performance and investments in CSR practices. However, no significant correlation was found between CSR disclosure and financial performance (p = 0.792373 > 0.05). The report concludes by providing empirical evidence supporting the hypothesis that effective CSR practices lead to long-term financial benefits for multinational oil and gas companies. Such practices are beneficial for poverty reduction programs and are crucial for achieving sustainable development goals in emerging economies where these companies operate.
Diagnostic Role of Urinary Nitrites and Leukocyte Esterase in Detection of UTI in Children
Authors: Sultana Ajmiri , Jui Farjana , Sonia Umme , Thakur Mukta , Jesmine Jakiya , Imam Syed , Rouf M. , Mridha Md.
Published: December 2024

Background: Urinary tract infections (UTI) are common in children and pose a significant public health concern, particularly in low-resource settings like Bangladesh. Rapid, cost-effective diagnostic tools such as urinary nitrite and leukocyte esterase dipstick tests offer an alternative to traditional urine culture, which is often time-consuming and resource-intensive. This study aimed to evaluate the diagnostic accuracy of urinary nitrite and leukocyte esterase tests in detecting UTI in children. Methods: This cross-sectional study was conducted at Shaheed Suhrawardy Medical College Hospital, Dhaka, Bangladesh, from July 2019 to December 2019. A total of 200 children, including 100 cases with proven UTI by culture or microscopy and 100 controls, were enrolled. Urinary nitrite and leukocyte esterase tests were performed on urine samples, with urine culture used as the gold standard. Sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) were calculated to assess diagnostic performance. Results: The urinary nitrite test demonstrated a sensitivity of 75.56% and a specificity of 97.00%, with an overall accuracy of 90.34%. The PPV was 91.89%, and the NPV was 89.81%. The leukocyte esterase test showed a sensitivity of 88.89% and a specificity of 82.00%, with an accuracy of 84.14%, PPV of 68.97%, and NPV of 94.25%. Compared with urine R/E, the urinary nitrate test had strong specificity (97.00%) but moderate sensitivity (47.78%), while the leukocyte esterase test maintained high sensitivity (86.67%) and reliable NPV (87.23%). Conclusion: Both urinary nitrite and leukocyte esterase dipstick tests are effective rapid screening tools for diagnosing UTI in children, with high specificity and sensitivity, respectively. Their combined use can enhance diagnostic accuracy, particularly in settings where access to culture testing is limited. These findings support the implementation of dipstick tests as a reliable first-line diagnostic method for pediatric UTI.
Pediatric Tuberculosis Characteristic in West Nusa Tenggara Regional General Hospital During COVID-19 Pandemic 2019-2021
Authors: Indrasuari Luh , Indriyani Sang
Published: December 2024

Tuberculosis (TB) infection is still an important health problem worldwide, especially in children. The Coronavirus Disease (COVID-19) pandemic has affected the priority of healthcare including TB services. Many health services reported a significant decrease in TB detection, notification, treatment and prevention due to COVID-19 policies. Therefore, we conducted a study to determine the characteristics of pediatric TB patients in West Nusa Tenggara Province General Hospital during COVID-19 pandemic. This study was a retrospective study using registry data from the Pediatric Respirology Division, Department of Child Health, West Nusa Tenggara Province General Hospital from March 2019 to December 2021. Of 225 children with TB disease, there were 66.2% outpatient and 33.8% inpatient. Thirty point seven percents (69/225) were in ages group 5 to 11 years old and mostly were males (69.8%). West Lombok Regency was the district with highest number of subjects (37.3%). Majority of subjects were visited in March-December 2019, nearly before pandemic. Polymerase Chain Reaction (PCR) test for TB were performed in 172 (76.5%) subjects and showed positive result in 22/172 (9.8%). Most of them were pulmonary TB (72.9%) and 9.8% bacteriologically confirmed. Only 4 (1.8%) of children were died. Pulmonary TB is the most common TB disease among pediatric TB patients in this study. During study period, the number of hospital visit was decreased due to COVID-19 policies. This findings can guided healthcare providers to improve detection, treatment and prevention of TB disease post COVID-19 pandemic.
Transcatheter Aortic Valve Replacement Improves the Quality of Life for Patients with Chronic Obstructive Pulmonary Disease
Authors: Schwartz Greta , Row Hunter , Tupa Jacob , Matter Ashley , Sahmoun Abe , Haldis Thomas , Dyke Cornelius
Published: December 2024

Chronic Obstructive Pulmonary Disease (COPD) is a common comorbidity in patients with aortic stenosis and when severe is a surgical aortic valve replacement contraindication. However, the impact of COPD in patients undergoing TAVR is unclear. This study defines TAVR risks/benefits including quality of life, morbidities, and mortality in COPD patients. All patients undergoing TAVR from August 2012 to June 2023 at a single institution were retrospectively reviewed (n = 1565). 1273 patients with preoperative pulmonary function testing were studied. FEV1/FVC and FEV1% predicted were used to separate patients into groups of COPD severity based on the GOLD (Global Initiative for Chronic Obstructive Lung Disease) criteria. Preoperative and postoperative quality of life (QoL) were measured with the Kansas City Cardiomyopathy Questionnaire (KCCQ). Adverse outcomes and mortality at 30-days and 1-year were measured. Severe and very severe COPD patients had significantly higher rates of new onset atrial fibrillation and myocardial infarction compared to patients with no COPD or mild to moderate COPD. There were no statistically significant differences in rates of stroke, permanent pacemaker implantation, 30-day mortality, or 1-year mortality. TAVR improved QoL in all patients regardless of COPD severity or use of home oxygen. Severe COPD patients had the greatest improvement in KCCQ QoL at 30-days and 1-year post-TAVR, while very severe COPD patients had the smallest improvement in KCCQ QoL. Patients with COPD experienced an improvement in quality of life regardless of severity of COPD. Additionally, one year mortality was not significantly different between COPD severity groups. Therefore, TAVR benefits should not be withheld for COPD patients regardless of their severity.
Vermicompost as Organic Amendment: Effects on Some Soil Physical, Biological Properties and Crops Performance on Acidic Soil: A Review
Authors: Mulatu Getachew , Bayata Adugna
Published: December 2024

One of the most precious natural resources is soil, which provides ecological functions necessary for life's survival and sustenance. Therefore, preserving and enhancing soil health is crucial for agricultural and ecological sustainability. However, careless application of mineral fertilizer lowers fertility and organic matter and has negative impacts on the environment, ground water quality, and soil health, whereas the use of organic amendments is essential for enhancing soil health. In order to improve the physical, biological, and crop productivity of acidic soil, this review emphasizes the potential of vermicompost as a soil conditioner. Thus, adding organic amendments to soil is a management tactic that can boost microbial populations, activity, and variety, enhances soil fertility and improve soil structure. Vermicompost (VC) is one type of organic amendment that is created when earthworms and soil microorganisms interact. The end product has a high degree of maturity, high porosity, aeration, drainage, water storage capacity, and microbial activity. As a result, applying this amendment encourages biological activity, which raises the soils' potential for production both directly through increased nutrient availability and indirectly through improved physical characteristics. Similarly, the addition of vermicompost (VC) to soil raised its pH levels, phosphorus, potassium, calcium, magnesium, and total organic carbon; it also enhanced the soil's cation exchange capacity, microbial biomass carbon, micronutrient content, and nitrogen content, all of which increased crop yield. In addition to raising crop yield and improving soil quality and nutrient availability, vermicompost also strengthens crop resistance to pests and diseases. By adding essential nutrients, humic acids, growth-regulating hormones, and enzymes to the soil, it acts as an organic fertilizer that improves plant nutrition, photosynthesis, and overall crop quality.
The Trade-off Between Banking Risk and Profitability Under Basel III Capital Regulation in Lebanese Banks
Authors: Alfouhaili Nadim , Alhilfi Thawra
Published: December 2024

This research examined the trade-off between risk and profitability under Basel III capital regulation (BCR) using a sample of 30 commercial banks in Lebanon. The main question of this research is: What is the trade-off between risk and profitability under Basel III capital regulation (BCR)? To answer this question, the authors considered a qualitative approach in the study. The authors used semi-structured interviews with the chief risk officer (CRO) for the sample. In order to examine the impact of Basel III capital regulation (BCR) on risk and profitability, the authors asked Banks’ CFOs to rate risk and profitability based on 5 scale metrics before and after the application Of Basel III in Lebanon. To analyze the data, the authors used ATLAS. Ti version 8.3 software. The results showed that after the application of the Basel III accord in Lebanon risk and profitability decreased in banks. The authors also noticed this effect is much greater in small and high-risk banks. This result aligns with Klomp and de Haan's findings that the Basel III accord has more effect on small and high-risk banks and with Tran, Lin, and Nguyen’s findings that the relationship between capital regulation and bank performance is not linear and depends on the level of capitalization of banks.
Correlation Between Ultrasound Manifestations and Traditional Chinese Medicine Syndrome Differentiation of Breast Nodules
Authors: Chen Ruo , Zhang Jie , Dai Yong , Tan Xinhan , Liu Yufei , Li Yuanqi , Feng Gaofei
Published: December 2024

Background Breast nodules are a health issue that concerns women, and clinical practice entails great concern for accurate diagnosis and appropriate prevention and treatment. This study examined the correlation between ultrasound manifestations and traditional Chinese medicine (TCM) syndrome differentiation of breast nodules. Methods This study included 128 patients with breast nodules based on ultrasound-dependent Breast Imaging-Reporting and Data System (BI-RADS) grading and ultrasound elastography (UE) scoring. This study explored the correlation of syndrome differentiation with age, medical history, nodule size, morphology, boundary status, blood flow signals, BI-RADS grading, and UE score. Results Age and medical history were significantly correlated with TCM syndrome differentiation. Patients with the Chong–Ren imbalance syndrome were older, and those with the phlegm–blood stasis syndrome had the longest disease course. The maximum nodule diameter was not correlated with TCM syndrome differentiation. Furthermore, nodule blood flow signal, BI-RADS grading, and UE scoring were significantly correlated with TCM syndrome differentiation. Patients with the phlegm–blood stasis syndrome had the highest proportion of those with “blood flow signal,” BI-RADS Grade 4, and UE score of four points. Furthermore, the morphology and boundary state of the nodules were not correlated with TCM syndrome differentiation. Conclusion Age, medical history, ultrasound blood flow signals, BI-RADS grading, and UE scoring were correlated with TCM syndrome differentiation in patients with breast nodules, particularly for BI-RADS Grade 4 and UE 4-point nodules, the prevalence of phlegm–blood stasis syndrome is at its highest. After excluding malignant transformation, patients with breast nodules at risk of cancer can receive preventive TCM treatment.
ANN-based and DT-based Classification Approaches to Predict the Rainfall Level of the Grid (90°E − 92°E, 23°N − 25°N) in Bangladesh
Authors: Rahman Md.
Published: December 2024

The study area defined by the coordinates (90°E − 92°E, 23°N − 25°N) is a significant region in Bangladesh, where accurate rainfall predictions are crucial for both the local population and policymakers. Understanding rainfall patterns in this area is vital for effective planning and resource management. Data on atmospheric variables, including temperature, rainfall, humidity, sea level pressure, and wind speed were collected from the Bangladesh Meteorological Department for various locations across the study grids for the period of 1964 to 2015. The descriptive statistics revealed that the pattern of the data of climate parameters is not normal. This dataset serves as the foundation for analyzing climate parameters and forecasting rainfall levels within the specified regions of Bangladesh. This study evaluates machine learning techniques, focusing on artificial neural networks (ANN) and classification and regression trees, C5.0, Random Forest, and Gradient Boosting as alternatives to traditional statistical models for predicting atmospheric phenomena. It reveals that conventional models often rely on assumptions unsuitable for chaotic systems like the atmosphere. Among the assessed models ANN, CART, C5.0, Random Forest (RF), and Gradient Boosting Machines (GBM) the ANN demonstrated the highest predictive capabilities for rainfall forecasting in Bangladesh, achieving superior training accuracy and Kappa values while also being recognized as the best overall performer based on ranking metrics.
Dexamethasone-Induced Bradycardia and Generalized Weakness in Patient with Flu Disease
Authors: Aljalil Abbas , Abbas Zainab
Published: December 2024

The case report presented in this article describes a 36-year-old male who experienced bradycardia and generalized weakness after receiving an intramuscular injection of dexamethasone for flu treatment. This adverse effect of the medication is a rare but potentially serious occurrence that highlights the need for close monitoring of patients, particularly those with pre-existing cardiac conditions or electrolyte imbalances, following dexamethasone administration. It is essential to promptly recognize and manage symptoms of bradycardia to ensure a favorable outcome for the patient. The mechanisms underlying dexamethasone-induced bradycardia are not fully understood, but may involve potassium channel modulation and other factors. Additionally, various factors such as rapid intravenous infusion rates, underlying cardiac or renal conditions, and electrolyte imbalances can predispose individuals to corticosteroid-induced bradycardia. Thorough evaluations are necessary to rule out other potential causes of bradycardia before attributing it to corticosteroids. While most instances of corticosteroid-induced bradycardia resolve on their own, it is crucial to exclude common etiologies of sinus bradycardia and rectify any electrolyte imbalances before initiating treatment. This case report sheds light on the importance of recognizing and managing dexamethasone-induced bradycardia and highlights the need for further research into the mechanisms and risk factors associated with this adverse effect.
Effects of Preservation Methods on the Proximate Composition of Three Varieties of Pepper
Authors: Gyamfi Austin
Published: December 2024

Pepper is a vital commercial crop, cultivated for vegetable, spice, and value-added processed products. It is an important constituent of many foods, adding flavour, colour, minerals and vitamins A and C, therefore, indispensable to Ghana and world food industries. Proximate analysis of food is very critical in the food science that determine the composition of any food substance. It is through the proximate analysis that nutritional assessment on moisture, ash, crude protein crude fat and crude fibre are made. Essentially, proximate analysis allows manufacturers to maintain quality control. This study aimed at determining the effects of preservation on the proximate composition of three varieties of pepper (Capsicum frutescence, Capsicum cayenne and Capsicum chinense) in the Bibiani Municipality of the Western North Region. The study was laboratory experiment. From the findings it was revealed that the pepper stored under room temperature was noted for good protein (14.64%), ash (8.04%) and fat (10.71%) and carbohydrate (68.09% while parboiling pepper and drying influence a very high fibre (11.50%) content, and retain good amount of ash (5.53%), carbohydrate (68.09%) with poor fat (4.56%) and protein (10.21%) content. It was also observed that the ash content of pepper due to interaction effect of varietal variation and method of preservation also showed a distinct difference (p<0.01) The effect of interaction between the variety and method of preservation influenced a significant variation in the protein content of the pepper samples. The study showed moisture content in pepper differs with respect to difference in the variety. Hence, different variety of pepper has moisture level of a vary effect.
Identification of Physical Dynamical Processes via Linear Structure Models (Part 1)
Authors: Kopysov Oleg
Published: December 2024

The article discusses methods for identifying parameters of partial differential equations. Identification problems are often called poorly conditioned. However, the reason is the ambiguity of the solution, even at the point of minimality of the criterion. In particular, the article discusses: (1) An analysis of singular values for identify the unambiguous solution. The basis of these methods is a singular value decomposition of the matrix of experimental data, what makes it possible to abandon the inversion of matrices and, as a consequence, translate the problem of ill-conditioned problems into the problem of ambiguity of the solution. (2) The issues of anomalous measurements and combination of various experiments. (3) A universal optimization method for identifying parameters by their complete simple enumeration. The method is based on fast calculation of points on a multidimensional sphere. (4) The issues of identifiability of linear structure models and construction of experiments guaranteeing identification. (5) A method for identifying parameters via projecting linear structure model elements onto the plane of guarantors. (6) An approach to constructing histograms of unknown parameters of dynamic systems before calculating them using any algorithm. The approach is based on linear structure models with parameters on a sphere and a rather unexpected application of singular value decomposition. (7) The methods are accompanied by examples of heat equations. The Appendix containsalgorithmsintheMATLABlanguageforallexamples. (8)The presented optimization, projection and statistical methods based on the concept of linear structure models allow solving the same identification problem in fundamentally different ways, which significantly increases the reliability of the results obtained.
Habitual and Demographic Determinants of Sleep Quality of Community Development College Students in Tanzania
Authors: Joshua Joel
Published: December 2024

This study intended to examine personal habits and demographic determinants of sleep quality in a sample of 640 students in the community development colleges in Tanzania. Two questions guiding the study sought to identify personal habits reported by college students that are likely to influence their sleep quality; and explain sleep problems from personal habits and demographic variables of community Development college students. Participants concurrently responded to the Sleep Quality Scale (SQS) and to the Sleep Deprivation scale (SDS). Other items in the questionnaire assessed the demographic information of the participants and personal habits presumed to determine sleep quality. Data were analyzed using techniques such as Principle Component Analysis (PCA), Pearson’s Moment Correlation Coefficient, and Direct Logistic Regression Analysis with an assistance of the Statistical Package for Social Sciences (SPSS). It was found that students’ sleep quality was uniquely explained by personal habits and demographic variables such as the number of times one wakes up at night, level for year of study, sleep deprivation and sex. It was concluded that sleep quality of college students is a product of a multifaceted influences including sex differences and daily habitual practices of the students. It has been recommended that policies should explicitly indicate it as a requirement for students to participate in fitness exercises, early sleep in the hostels as well as late start of studying schedules. In addition, policies should consider establishing psycho-social counselling desks where educative programs on sleep problems and their relationship with mental health should be taught.
Risk Profiling of Microbiological Hazards in Ready-To-Eat Foods in Niger
Authors: Souley Roukaya , Amadou Issoufou , Diadie Halima , Balla Abdourahamane
Published: December 2024

The risks posed by foodborne microbiological hazards are a concern for human health on a global scale. They are responsible for foodborne illnesses (FBI). The general objective of this study is to analyze the risks associated with microbiological hazards in ready-to-eat foods in Niger. A descriptive retrospective study was conducted in Niamey, Niger. Investigations were carried out at three (3) major hospitals in Niamey city (National Hospital of Niamey (HNN), General Reference Hospital, and the Amirou Boubacar Diallo National Hospital) to collect data on the FBI from 2019 to 2023. Then, a consumer survey was conducted for convenience among hundred (100) people who had been victims of the FBI to collect information on the causes, consequences, and economic impact of the FBI. The results showed that in total, eighty-nine (89) cases of FBI were recorded in the three hospitals during this period, including one (1) death. The National Hospital of Niamey has the largest cases (89.88%). However, the consumer survey noted that 72% of individuals suffering from FBI are over 15 years old. 31% are female and 69% are male. Also, 67% of FBI cases are caused by the consumption of food of animal origin. Medical treatment is the most widely used (56%) by the patients and the cost is considered low. This study can serve as a tool to help develop strategies for preventing health risks related to microbiological hazards in ready-to-eat foods in Niger.
A Review of the Government Food Policy on Agricultural Productivity in Ghana
Authors: Agbolosoo John , Hutagaol Manuntun
Published: December 2024

Food policy supports agriculture and household food security by encouraging farmers to increase output. Despite implementing the Planting for Food and Jobs program in Ghana, the country still imports staple crops, suggesting mixed effectiveness. This study analyzed challenges, beneficiary perceptions, and policy impacts on agricultural productivity using secondary data from Sekyere Kumawu District, Ashanti Region, Ghana. Ghanaian beneficiaries were older and educated, had smaller households, and had less experience on larger plots. The Ghanaian farmers received improved seeds, fertilizers, and subsidized seeds. The farmers viewed the food program positively regarding food security. Key challenges PFJ faced were funding, resource allocation, implementation, environmental factors, post-harvest losses, market access, and economic challenges. Both programs positively impacted crop productivity. Agricultural policy recommendations include providing suitable machinery, ensuring access to high-quality seeds, adjusting production targets, prioritizing comprehensive training, improving stakeholder collaboration, and switching from indirect to direct subsidies can enhance food policy efficiency in Ghana.
On the Least Common Multiple of Polynomials over a Number Field
Authors: Viglino Ilaria
Published: December 2024

For an irreducible integral polynomial f of degree n, Cilleruelo’s conjecture states an asymptotic formula for the logarithm of the least common multiple of the first M values f(1) to f(M). It’s well-known for n = 1 as a consequence of Dirichlet’s Theorem for primes in arithmetic progression, and it was proved by Cilleruelo for quadratic polynomials. Recently the conjecture was shown by Rudnick and Zehavi for a large family of polynomials of any degree. We want to investigate an average version of the conjecture for Sn-polynomials with integral coefficients over a fixed extension K=Q by considering the least common multiple of ideals of OK. The case of linear polynomials is dealt with separately by exploiting Dirichlet’s Theorem for primes in arithmetic progression, to get an asymptotic estimate. In our case, to achieve explicit error terms, we want effective versions of the asymptotics. We will state here both a conditional and unconditional results proved by Lagarias and Odlyzko. For degree-2 polynomials, it is possible to obtain explicit asymptotics for the least common multiple, analogously to the ones achieved for polynomials in Z[X]. However, the latter is not a subject of the current paper.
Integration of Solar Energy into Fire Safety System
Authors: Ibrahim Moussa , Gilles Agbokpanzo , Madogni Irénée , Macaire Agbomahena
Published: December 2024

The integration of solar energy into the fire safety system represents a significant step forward in improving the reliability and efficiency of these devices. Traditional security systems generally rely on electricity supplied by the grid, which can be problematic in the event of a power outage during an emergency. Fire has harmful consequences for society, causing human losses and considerable material damage, not to mention the impact on economic activities. To effectively combat this phenomenon, this article proposes the development of an integrated fire protection device, equipped with a solar energy system, guaranteeing energy autonomy and the protection of premises. This device is designed to detect fire outbreaks using sensors. Its design is based on the selection and sizing of various electronic components, including a GSM module, an Arduino Nano, smoke detectors, an alert system, as well as a photovoltaic system for solar energy. For programming and assembly of the electrical circuit, the Qelectrical software is used. In addition, a temperature and humidity sensor is integrated into the alert system, thus forming a control set that ensures the proper operation of the device. Like existing systems, this device helps reduce damage in the event of a fire while operating independently of clean energy sources, respectingthe environment, also meeting the energy needs of the building. It is an ecological, non-polluting solution, suitable even for isolated areas.
Effective Management Practices of Government Owned Tertiary Hospitals: A Way out for Employee Development in Enugu State
Authors: Ogbuke Martha , Nwonovo Oluchukwu , Ugwu Stella , Ofoegbu Raphael , Eze Obinna
Published: December 2024

The study examined effective management practices of government owned tertiary hospitals with regards to employee development. Low patronage and unprofessionalism of staff of government owned tertiary hospitals in Enugu state is tending towards an alarming rate. In every organizational set up, efficiency and productivity are of utmost importance, and it is common knowledge amongst managements of such organizations that these can only be attained through the employees. The aim of this study was to determine the extent to which staff training influences quality of output of employee, assess the extent to which conflict resolution affects punctuality at work of employee and ascertain the extent manpower planning influences employee turnover of government owned tertiary hospitals. Descriptive survey research design was adopted. A sample of 328 respondents were drawn from junior and management staff of selected government owned tertiary hospitals in Enugu State. A 4-likert scaled questionnaire with 18 items was used for data collection. Mean and t-test were used for analysing responses to the research questions and testing the hypotheses. Findings revealed, among others that staff training positively and significantly influenced quality of output of employee of tertiary hospitals t(4)= 2.506, p< .05], conflict management positively and significantly affected punctuality at work of employee of tertiary hospitals t(4)= 2. 324, p< .05] and manpower planning influenced employee turnover of government owned tertiary hospitals t(4)= 2.401, p< .05]. It was concluded that management practices significantly and positively affected employee development of government owned tertiary hospitals in Enugu state. It was recommended, among others that as part of efficient management practice, already budgeted funds for career training and development in government owned tertiary hospitals should be enhanced through training, conflict resolution and manpower planning.
The Prevalence and Predictors of MetS Among Commercial Long Distance Bus Drivers (CLDBDs) in Cape Coast, Ghana
Authors: Abban Heckel , Setorglo Jacob , Nsiah-Asamoah Christiana , Acquah Samuel , Steiner-Asiedu Matilda
Published: December 2024

Background: Metabolic syndrome (MetS) is a foremost risk consideration for the development of cardiovascular disease which is a major cause of mortality around the globe. Objective: This study determined the prevalence and predictors of MetS amongst Commercial Long Distance Bus Drivers (CLDBDs) in Cape Coast, Ghana. Methods: A cross sectional study design that conveniently enrolled 170 registered male CLDBDs from five bus Unions. We included in the study long distance bus drivers registered at the unions, with a valid drivers’ license C. Obesity was determined using the WHO cut-offs. We determined blood pressure among the drivers through diastolic and systolic readings of arterial blood pressures and categorized based on the WHO cut offs. Fasting blood glucose level was reached through laboratory analysis. The MetS was determined based on ATP III NCEP criteria. Percentages were presented for socio-demographic and lifestyle variables. Chi-square statistics was performed on socio-demographic, occupational and lifestyle factors associated with MetS. Multinomial logistic regression was used to determine the factors that predicted the likelihood of developing metabolic syndrome at 95% confidence interval (95%CI). Results: The average age and duration of commercial long-distance driving were 41± 8 years and 18± 8 hours respectively. About 14.2% were obese. A total of 22.4% had diastolic blood pressure 90 mmHg or higher and 21.2% had systolic blood pressure 140 mmHg or higher. About 2.2% of respondents had high levels of LDL-c and 8.8% had high HDL-c levels. Whilst 2.2% had high levels of triglyceride, 4.4% had high levels of total cholesterol (TC). About 82.6% had fasting blood glucose level > 6.1 mmol/L. The prevalence of MetS was 44% alcohol intake was statistically associated with metabolic syndrome (p< 0.01). Alcohol intake predicted MetS [OR=5.17; 95% CI: 1.75-15.2; P=0.03]. Conclusion: The prevalence of metabolic syndrome was high among this group. Out of the five symptoms used for MetS classification, fasting blood glucose proportion was highest and alcohol intake placed drivers at about five times at risk of development of MetS compared with drivers who do not.
Computational Literary Studies in the Context of Contemporary Czech Literary Studies – Especially the Concept of the Corpus of Czech Novels
Authors: Změlík Richard
Published: December 2024

The paper discusses some issues related to the field called computational literary studies (CLS), which belongs to the  digital humanities. The introduction deals mainly with the Czechoslovak literary and partly linguistic tradition that preceded this discipline. The author then introduces Czech projects that represent specialised literary corpora, in particular focusing on the emerging corpus and web application of the Czech Corpus of Prose, describing its overall structure, individual parameters and specific functions.
Why Religion Matters: Montenegro’s Sacred Nationhood in a Time of Contestation
Authors: Trupia Francesco
Published: December 2024

This book review offers a critical assessment of Emil Hilton Saggau’s Nationalisation of the Sacred. Although Saggau’s work seems to propose a concise history of Montenegro through the lens of Orthodox historiography, the main argumentation provides sobering perspectives that unravel a wealth of religious and political issues in Montenegro and South-East Europe in general.
Digital Studies of Culture in Central Europe: Introduction to the Thematic Section
Authors: Kulmiński Robert , Daniel Ondřej
Published: December 2024

The idea for this issue of the journal, as well as the earlier project Mapping and Boosting Digital Humanities in the Visegrad Region (led by the NGO Centre of the Study of Popular Culture), stemmed from reflections on the growing dependence of the humanities on digital resources and research methods. We aimed to gather the best practices in the use of digital methods in the four Visegrad Group countries and Austria in one place, and present them in a public database, which also serves as a tool for mapping the state of digital humanities in the region. The database is published on a dedicated website together with recordings of talks presenting selected relevant projects: https://digihum.cspk.eu/ . Thus, this issue of Colloquia Humanistica can be called the culmination of both the Mapping and Boosting Digital Humanities in the Visegrad Region project and our experiences in the digital humanities.
Digital Humanities in Czechia
Authors: Vašík Miroslav
Published: December 2024

This book review offers a critical assessment of the book Digitální obrat v českých humanitních a sociálních vědách edited by Radim Hladík (Karolinum, Praha 2022). The author refers to the challenges and perspectives of digital humanities as as a research field and, at the same time, a useful tool for research.
Design and Implementation of Low Temperature Drift Suppression for Micro-Machined Gyroscope
Authors: Li-Xia  , Zhen-zhen Luo
Published: December 2024

Micro machined gyroscope is an important inertial sensor, which has the advantages of high integration, small size and low power consumption. However, due to the temperature sensitivity of silicon and electronic devices, the bias and scale factor of micro machined gyroscopes have temperature
drift, which limits their engineering applications, the frequency mismatch between the driving mode and the detecting mode of the micro-machined gyroscope is caused by the process error of the micro-machined gyroscope, which not only deteriorates the mechanical sensitivity of the gyroscope,
moreover, the frequency mismatch between the driving mode and the detection mode results in the quadrature error of the driving coupling of the gyro detection mode. Based on this, firstly, the relationship between the bias factor and scale factor of MEMS gyroscope and its dynamic and electrical
parameters is analyzed. Secondly, a self-calibration capacitance detection scheme based on triangular electrode is proposed, and the temperature effect of the scheme is analyzed. Finally, the effectiveness of the proposed scheme is verified by experiments. The experimental results show that,
in the driving mode, when the temperature range is from −10 °C to 60 C, the scale factor temperature coefficient of the gyroscope is reduced from −8845 ppm/°C to 1660 PPM/°C, and the bias temperature coefficient is reduced from −0.97°/s/°C to −0.42°/s/°C,
the scheme effectively reduces the temperature sensitivity of gyro bias and scale factor.
2D CO3O4 Nanosheets for High Selectivity and Response of H2S Gas Sensing Performances
Authors: Xie Wanyun , Li Xiaobo , Tong Teng , Ansari Sajid Ali , Umar Ahmad , Amu-Darko Jesse Nii Okai , Manavalan Rajesh Kumar , Hussain Shahid
Published: December 2024

As the demand for selective and sensitive gas sensors continues to escalate, the development of novel materials with enhanced performance becomes increasingly imperative. The present investigation delves into the fabrication and implementation of two-dimensional cobalt oxide (Co3O4)
nanostructures as highly proficient gas sensors for the discerning identification of hydrogen sulfide (H2S) within intricate environmental circumstances. The distinct two-dimensional configuration of Co3O4, characterized by its substantial surface-to-volume
ratio and abundant accessible active sites, markedly augments gas adsorption and reaction dynamics, resulting in exceptional sensitivity and selectivity toward H2S over other potentially confounding gases. Extensive characterization methodologies, encompassing X-ray diffraction
(XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM), corroborate the successful synthesis of well-defined nanosheets. The materials exhibited optimal H2S detection at 250 °C, demonstrating significant sensitivity (Response = 214.45) and fast
response and recovery times (16.85 s and 46.93 s, respectively). Its performance was further validated through concentration-dependent studies, which showed high accuracy even at low H2S concentrations (0.3–50 ppm). The sensor also displayed excellent selectivity for H2S
over other gases, minimal interference from humidity, and maintained stability during cyclic exposure and long-term operation over 30 days. These findings highlight this material as a highly promising sensor for H2S detection due to its superior performance metrics. The incorporation
of these nanosheets into a sensor apparatus offers a propitious strategy for the detection of low concentrations of H2S in real-world applications, such as environmental surveillance and industrial safety systems.