bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Effectiveness of Financial Management Strategies in Public Primary Schools in the South Africa
Authors: Et. al. L S Mandlazi, 
Published: January 2024

This paper reports a sequential mixed methods study on the effectiveness of financial management strategies in achieving organisational success and stability in public primary schools in Dwarsloop Circuit, Mpumalanga Province, South Africa. The study involved six schools and a sample of 78 participants, comprising 72 School Governing Body (SGB) members and six primary school managers. The study shows that the South African Schools Act, 1996 and the Public Finance Management Act, 1999, are key legislation used to govern and administer the finances of public schools in South Africa. It was ascertained that SGB members with a background in teaching, had a better understanding of the South African Schools Act, compared to SGB members who were parents without teaching experience. The research further shows that most schools in the Dwarsloop Circuit do not use strict internal controls nor is there clear and consistent segregation of duties as key aspects of financial management. It is recommended that all SGB members undergo mandatory training required to execute their duties effectively. The Department of Education in conjunction with the relevant agencies, should ensure an annual financial audit is conducted of all schools in the Dwarsloop Circuit of Mpumalanga Province.
Responses to Fatwas of Islamic Religious Leaders and Institutions during the Coronavirus Disease (COVID-19) in the Philippines: Looking at How Guidance Was Provided to Muslim Communities in the Philippines.
Authors: Et. al. Sheryl R. Morales, 
Published: January 2024

The Philippine constitution guarantees the free exercise of religion and religious worship. The law forbids public officials from interrupting religious activities. However, with the sharp rise of Coronavirus (COVID-2019) infection all over the world, the Inter-Agency Task Force (AITF) on Emerging Infections Disease created resolutions to assess, monitor, contain and prevent the spread of the pandemic. Religious leaders and Islamic institutions are no exceptions and they must abide to these resolutions including mass gatherings, safety procedures on burials, and strict observance of social distancing.
Muslims strictly perform five times a day prayer, Friday Jamaah prayer, and bury the dead in accordance to Islamic practices mentioned in the Quran. Therefore, the study focus on how Islamic leaders and institutions responded to AITF resolutions to prevent the spread of the pandemic.
The data were collected from mixed sources: from official announcements, social media accounts, and by phone interviews. Meaningful central themes were derived from the data.
Findings noted responses of Muslim communities focused on (1) suspension of collective religious activities and programs until the pandemic is over; (2) abide by government directives on how to be safe from the threat of COVID-19; (3) institutionalization of positive sanitation practices of their facilities personnel and families; (4) cancellation of classes and their religious learning institutions; and (5) public interest and dharurah (possibility of harm or injury).
In conclusion, the concept of collective duty (farḍ kifāya) as a basic of principle of Islam was practiced by Islamic religious leaders and institutions. Hence, maintaining social
Regression Tree Based Correlation Technique in Spatial Data Classification
Authors: Et. al. P.D.Sheena Smart, 
Published: January 2024

Data mining is the process of discovering useful patterns from large geo-spatial datasets with the help of machine learning methods. . The machine learning methods plays an important role for data analytics modeling and visualization. Geo-spatial data is a significant task in many application domains, such as environmental science, geographic information science, and social networks. However, the existing spatial pattern discovery and prediction techniques failed to predict the event accurately with minimum error and time consumption. . In this paper, a novel Pearson Correlated Regression Tree-based Affine Projective spatial data Classification (PCRT-APSDC) technique is proposed to improve the spatial data classification and minimize error based on the Affine Projective classification technique. The proposed algorithm employs a fuzzy rule procedure that constructs the regression tree. The fuzzy rule is applied for linking the inputs (i.e. spatial data) with the outputs (i.e. classification results). Our goal is to classify the data into two subsets such as fired region and non-fired region. Experimental evaluation is carried out using a forest fire dataset with different factors such as classification accuracy, false-positive rate, and classification time. The results confirm that the proposed technique predicts the fired region with increased spatial data classification accuracy and minimized time as well as false-positive rate than the state-of-the-art methods.
Vector Control of Induction Motor Using Neural Networks Based Lookup Table for Reduced CMV
Authors: Et. al. Aladalli Sharanabasappa, 
Published: January 2024

This paper confers a vector control (VC) perspective for induction motor drives by combining the principles of vector and direct torque control (DTC) methods. In classical vector control, the switching states will be chosen dependent on current hysteresis regulators. Based on the instantaneous current waves, the hysteresis controllers generate the switching specimen. But, the classical DTC selects the pertinent voltage vector from lookup table extracted from the flux and torque error signals and sector information. The proposed perspective combines both VC and DTC techniques. In this paper d and q-axis current errors and sector information, the lookup table chooses an appropriate voltage vector. Moreover, to select the befitting voltage vector Neural Network (NN) based approach is presented in this paper. Also, to reduce the common mode voltage (CMV) variations, NN based lookup tables are proposed. To substantiate the proposed NN based vector control, simulation studies have been conveyed and results are collated.
Transport Accessibility as a Factor of Regional Development
Authors: Et. al. Liliya V. Erygina, 
Published: January 2024

The spatial distribution of industrial enterprises is closely related to the development of transport systems that unite them into a single regional complex. Sustainable operation of transport systems is a guarantee of a single space, free movement of goods and services, improvement of conditions and living standards of the region's population.
The transport system ensures the territorial integrity of the region and the unity of the economic space based on the movement of passengers and goods, linking the region's enterprises into a single complex and ensuring the continuity of the processes of development of productive forces. The existing approaches to assessing this indicator are of a complex nature, but they do not take into account the influence of a number of factors associated with the peculiarities of the spatial distribution of the population of certain, for example, northern territories. The lack of objective statistical data does not allow researchers to conduct a comprehensive assessment of transport accessibility. Despite this, many authors are considering the possibility of measuring transport accessibility based on taking into account the costs of movement. The authors of the article propose to use this approach, improving it by refining the formula for the cost of travel time, which makes it possible to objectively compare the transport accessibility of various settlements to the regional center. Thus, this study is devoted to the study of transport accessibility as a leading factor in the development of the regional economy
Using Big Data, An Extensible System for Forecasting and Analyzing Relations Among Crimes
Authors: Et. al. Subashka Ramesh S.S, 
Published: January 2024

While Big Data presents a dilemma for criminal activity analysis, it's even possible to assist them in locating and detecting patterns that can help them crime prevention and investigation. This system intends to draw consideration to current problems in Cyber Crime Investigations – particularly those involving Big Data – as well as potential approaches to combating cybercrime. The proposed system's outcome would help law enforcement and police department agencies a higher comprehension criminal issues and provide insights that will allow them to track operations, forecast the chance of incidents, arrange resources effectively, and optimise policymaking processes. Crime prediction makes use of historical data and, after analysing it, forecasts future crimes based on place and time.
Outdated methods become fewer effective as their ability to deliver needed outcomes in an appropriate and supply-constrained manner deteriorates. To prevent and combat crime, one promising choice for Criminal Inquiries is to use tools for computing based on cutting-edge data analytics. As a result, machine learning and computer modelling should be included in the investigations. One of the solutions is computational, which provides quick and effective data analysis to find small sign in big, unstructured data sets.
Prototype Model for High Speed Railway Power Supply System Suitable for Indian Traction Sub Stations using Multi Modular Converter
Authors: Et. al. Venkatasupura Vemulapati , 
Published: January 2024

As on 2020, India does not have any globally proven railway lines running with high-speed standards as above 250 km/h. Indian Railways looking at the prospect of high speed rail networks also known as bullet rail network in India. With the present Indian traction supply system which is based on the phase splitting or phase shifting method is not suitable for the high speed railway network unless we eliminate neutral sections as well as mitigating the power quality issues such as voltage unbalance, harmonics and high reactive power drawn from the utility grid. In this paper, Co-phase traction power supply system with zero neutral sections is proposed. Modular multilevel converter based three phase to single phase catenary system through a DC Link has been designed, simulated and laboratory prototype is made. A MATLAB simulation of the suggested method and droop characteristics based on load sharing between the two single phase parallel inverters had executed. The obtained results were satisfactory and shows that the proposed system is very much suitable for high speed railway.
Issues And Challenges Of Online Shoppingactivities On The Impact Of Corona Pandemic :A Study On Malaysia Retail Industry
Authors: Et. al. Roszi Naszariah Nasni Naseri, 
Published: January 2024

The retail industries are among the prominent casualties of the COVID-19 pandemic, as people adjust to the new normal of online shopping and working from home, which has lowered demand and business volume of the industry in the short term. Due to online initiatives and lower business volume, businesses are considering downsizing wherever possible as people adapt to the new norm. New approaches to shopping, which leveraging technology and increase consumers' desire for lifestyle experiences while shopping, are currently posing a challenge to traditional shopping. Therefore, this paper aims to provide an overview on the issue and challenges of online shopping activities on the impact of Pandemic Covid-19.
Mean Waiting time Analysis on Bukl Arrival Fuzzy Queueing System Using Maximum Likelihood Estimation
Authors: Et. al. V.Ramalakshmi, 
Published: January 2024

Consider the Erlang k-phase queueing system on fuzzy environment and to obtain the optimal value of mean waiting time for the concern system. In this regard, here we proposed new algorithm, using alpha - cut method to construct the different value in the range of uncertain and analyze the system performance level by the MINLP method and discussed a numerical example.
Approximation methods to solve a single machine scheduling problem with fuzzy due date to minimize multi-objective functions
Authors: Et. al. Hanan Ali Chachan, 
Published: January 2024

In this paper present three methodant colony optimization (ACO), particle swarm optimization (PSO) and bees algorithm optimization (BAO) to the solution multi-objective function of single machine problem with the fuzzy due date. The objective function to minimize total completion time and maximum lateness with a fuzzy due date. By a computer simulation used to compare the performance of each algorithm with another one from where accuracy and time.
Factors influencing the microwave propagation performance of different types of materials
Authors: Et. al. Saib Thiab Alwan, 
Published: January 2024

This paper focuses on studying and comparing specific various types of materials which are Silica glass ( ), , Titanium oxide ( ), Graphene ( ), Silicon ( ), Gallium arsenide ( ), and Chromium oxide ( ). It deals with single layer of each previous material in dielectric slab waveguide. Moreover, it studies and compares the effects of a microwave frequency ( ) of the applied electromagnetic waves on TE-modes under assumption of using a constant value of materials thicknesses. It was clearly shown that waveguide parameters of different materials are different depending on its structure and its refractive index. Results and discussion section demonstrates overall comparing among these seven different materials.
The Determinants Of Employees’s Financial Literacy
Authors: Et. al. Djoko Roespinoedji, 
Published: January 2024

Financial literacy is the education and understanding of how money is made, spent, and saved, as well as the skills and ability to use financial resources to make decisions. These decisions include how to generate, invest, spend, and save money. The concept can be applied to individuals and organizations. Good financial management is about long-term financial goals and to achive that, it is necessary to have an adequate knowledge in financial management. The aims of this study is to examine the extent of financial literacy among employees at all level of management in National Defence University of Malaysia (NDUM). The determinants that involved in this study are differences in ages, level of financial literacy, marriage status, type of job and level of education. The study employed a quantitative analysis for 150 employees of the National Defence University of Malaysia. The level of financial literacy is divided into savings, debts, investments and monthly expenses. The discoveries of the investigation demonstrates that the degree of financial literacy are connected with the level of education. Neither age nor marital status are associated with financial literacy among employees. This study contributes the body of knowledge of financial literature on financial literacy among employee and revisit the determinants of financial literacy that are useful for policy maker to develope effective approaches in providing financial knowledge among the employees or targeted group.
Allelic diversity of the <i>Vrn</i> genes and the control of growth habit and earliness in wheat
Authors: Smolenskaya S. E. , Goncharov N. P. 
Published: January 2024

Wheat is one of three main food crops around the world, which has the largest distribution area due to its adaptation to the different environments. This review considers polymorphisms and allelic variation of the vernalization response genes Vrn controlling the major adaptation traits in wheats (the genus Triticum L.): growth habit (spring vs. winter) and length of vegetative period (earliness). The review summarizes available information on the allelic diversity of the Vrn genes and discusses molecular-level relationships between Vrn polymorphisms and their effect on growth habit (spring vs. winter) and earliness (length vegetative period in spring plants) in di-, tetra- and hexaploid wheat species. A unique attempt has been made to relate information on mutations (polymorphisms) in dominant Vrn alleles to the values of the commercially most important trait “length of plant vegetative period (earliness)”. The effects of mutations (polymorphisms) in the recessive vrn genes on vernalization requirement in winter wheats are considered, and this trait was formalized. The evolution of the winter/spring growth habit in the genus Triticum species is discussed. A scheme of phylogenetic interactions between Vrn alleles was constructed on the basis of these polymorphisms; the paper considers the possibilities to enhance the diversity of polymorphisms for the dominant Vrn genes and their alleles using wheat related species and rarely used alleles and discusses the prospects of breeding for improved earliness for concrete agroecological zones.
RETRACKTED: ANALISIS KESULITAN BELAJAR SISWA KELAS XII IPA SMA NEGERI 9 MANDAU DURI PADA MATERI REPRODUKSI SEL TAHUN AJARAN 2021/2022
Authors: Rizah Ifat , Mellisa Mellisa 
Published: January 2024

The revocation note is entitled "Revocation [Analisis Kesulitan Belajar Siswa Kelas XII IPA SMA Negeri 9 Mandau Duri Pada Materi Reproduksi Sel]” which has been published in Bioilmi: Jurnal Pendidikan Volume 9, Number 2, 2023. There has been a violation of the professional code of ethics, namely double submission in another journal and has been published in the Biology and Education Journal Volume 2, Number 2, 2023. Here is the link the journal; https://journal.uir.ac.id/index.php/baej/article/view/11064. The retraction of the article by the Editor has been approved by the author. This is important to do because plagiarism violations occur. We as managers of Bioilmi: Jurnal Pendidikan, hope that this incident of violation of the code of ethics can be resolved.
Comparative Metabolomics Reveals Changes in Secondary Metabolites during the Processing of Polygonatum cyrtonema Rhizome
Authors: Shen Jianjun , Pu Weiting , Song Qiyan , Ye Bihua , Shi Xiaoxiao , Chen Youwu , Yu Yefei , Li Haibo 
Published: January 2024

Polygonatum cyrtonema Hua. is an important medicinal and edible food in China and the traditional processing method of nine-steaming and nine-drying has been used to process its rhizome. However, the global dynamic changes in secondary metabolites during the processing and whether this method could enhance the accumulation of functional components remain unclear. This study aimed to explore the processing-induced mechanisms involved in the accumulation of secondary metabolites and provide theoretical support for the pharmacological study on P. cyrtonema. Results showed the first 6 processing cycles induced drastic changes in the accumulation of secondary metabolites, while the last 3 did not induce further changes. The accumulation of most secondary metabolites significantly increased after the first 3 cycles and stabilized after 6 cycles. The first 3 cycles led to numerous newly added metabolites while the last 6–9 cycles led to a small number of disappeared metabolites. Processing enhanced the biosynthesis of various secondary metabolites and significantly affected the metabolisms of amino acids. Together, a short period of processing was helpful for enhancing the biosynthesis of secondary metabolites. However, the enhancing effects will be reversed or weakened under continuous processing. The processing cycles should be reduced to 3–6 to maintain the enhancing effects.
Marlex Mesh Reconstruction of the Extensor Mechanism
Authors: Abdel Matthew P. , Carender Christopher N. , Bedard Nicholas A. , Perry Kevin I. , Pagnano Mark W. , Hanssen Arlen D. 
Published: January 2024

Marlex mesh reconstruction of the extensor mechanism following total knee arthroplasty (TKA) has demonstrated excellent early results. The purpose of the present study was to evaluate longer-term results of Marlex mesh reconstruction of the extensor mechanism in 93 TKAs. Seventy-seven reconstructions were aseptic, and 16 were performed as part of a 2-stage exchange for the treatment of infection. Mean follow-up was 8 years. Twenty-eighty patients experienced mesh failure. Seventeen failures were treated with mesh revision (8 for patellar tendon rupture, 7 for quadriceps tendon rupture, and 2 for symptomatic lengthening). The 10-year cumulative incidence of mesh revision for mesh failure was 20%. Extensor lag improved by a mean of 28°, with a mean extensor lag of 9° at most recent follow-up. At a mean follow-up of 8 years, Marlex mesh reconstruction was a durable and reliable technique to treat both aseptic and septic ruptures of the extensor mechanism.

Level of Evidence:
Therapeutic Level IV. See Instructions for Authors for a complete description of levels of evidence.
The influence of topography and transport history on the composition of clastic deposits from the Jurassic Tlaxiaco basin, southern Mexico: limitations on the use of mineral and chemical indices as proxies for paleoclimate
Authors: Martini Michelangelo , Zepeda-Martínez Mildred , Mori Laura , Núñez-Useche Fernando , Velasco de León Maria Patricia , Solari Luigi 
Published: January 2024

ABSTRACTThe mineral and chemical composition of clastic deposits is commonly used as a proxy for reconstructing the climatic history of the Earth. A mineralogical and chemical study of clastic deposits from the Jurassic Tlaxiaco basin of southern Mexico illustrates that the entire sedimentary system in which detritus is generated, subaerially transported, and deposited exerts a major control on the composition of sedimentary rocks, placing some constraints on the use of mineral and chemical indices as paleoclimatic proxies. Since clastic deposits of the Tlaxiaco basin were formed under similar humid climatic conditions, but in sedimentary systems with different topography and transport histories, they represent a natural laboratory for testing the control that these parameters exert on the composition of clastic rocks. Our petrographic and chemical results show that, in sedimentary systems associated with low relief and in which detritus had the possibility of being temporarily stored in floodplains and meandering bars, parent rocks and the derivative detritus interacted with weathering fluids over a long time, producing clastic deposits with composition that is representative of the weathering conditions and climate of the region. On the other hand, in environments associated with steep and tectonically active relief, the rates of sediment transport and burial exceed the rate at which weathering can generate detritus, producing sedimentary deposits with composition that largely underestimates potential weathering and provide unreliable information on climate. Mineral and chemical indices should be considered as reliable paleoclimate proxies only when sedimentological data indicate that the sedimentary system allowed sediment interaction with weathering fluids over a long time.
Asynchronous Quantum Random Walks
Authors: Harringer Manfred 
Published: January 2024

Abstract
I build random walks on finite graphs Γ(V,E) with vertices V and directed edges E by sequences of randomly selected edges. I obtain quantum canonical ensembles with vacuum. Single steps of these walks are acceptions and rejections, corresponding to stimulated and spontaneous emission. Split into small steps, such random walks are asynchronous versions of time evolution in quantum mechanics. As a result, for a fixed weight function of edges I obtain a family of quantum canonical ensembles, where the members are parametrized by the number of elements N, with a common balance condition, fulfilled by the first eigenvector of the weight matrix. The family connects a Markov chain with a quantum grand canonical ensemble by a passage from N = 1 to large N-values.