bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH KOMPETENSI PENYIDIK DAN RESPONSIVITAS TERHADAP KUALITAS PELAYANAN DIMEDIASI PENANGANAN PERKARA (STUDI KASUS PADA LAPORAN/PENGADUAN TINDAK PIDANA DI DIREKTORAT RESERSE KRIMINAL UMUM POLDA KALIMANTAN SELATAN)
Authors: Kusdarmaji
Published: April 2022

ABSTRAK: Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh: Kompetensi Penyidik dan Responsivitas terhadap Kualitas Pelayanan melalui Penanganan Perkara  sebagai variabel intervening. Jenis Penelitian ini adalah penelitian kausalitas kuantitatif, dengan Populasi penyidik pada Direktorat Reserse Kriminal Umum Polda Kalimantan Selatan sebanyak 120 orang dengan tehnik pengambilan sampel Purposive sampling, dan jumlah sampel sebanyak 64 orang penyidik yang menangani perkara. Data yang telah terkumpul di analisis dengan  partial least square menggunakan software SmartPLS 3.0.  Hasil penelitian menunjukan bahwa: Kompetensi Penyidik berpengaruh signifikan  terhadap Penanganan Perkara; Responsivitas Penyidik berpengaruh signifikan  terhadap Penanganan Perkara;  Kompetensi Penyidik tidak berpengaruh terhadap Kualitas Pelayanan; Responsivitas Penyidik berpengaruh signifikan terhadap Kualitas Pelayanan;  Penanganan Perkara tidak berpengaruh terhadap Kualitas Pelayanan; Panenangan perkara tidak memediasi pengaruh Kompetensi Penyidik terhadap Kualitas Pelayanan dan Penanganan perkara tidak memediasi pengaruh Responsivitas Penyidik terhadap Kualitas Pelayanan.
Performance Evaluation of Construction Projects Delivery in Insurgency Affected Locations in Maiduguri, North East, Nigeria
Authors: Ahmad A.
Published: April 2022

The study carried out a performance evaluation of insurgency risk factors in Borno. The insurgency risk factors were analysed in terms of three keys that enhance the success of project delivery i.e. Cost, Time and Quality. The data for the study were collected through a questionnaire survey and administered to the professionals involved in the construction projects i.e. the Civil Engineers, Architects, Quantity Surveyors, Builders and Project Managers on construction projects in Maiduguri. The obtained information from the above-mentioned professionals relating to their years of experience and the number of projects they have handled during the insurgency period. A sample size of two hundred and twenty (220) from the total list of the aforementioned respondents Civil Engineers, (52), Builders, (40), Architects, (49), Quantity Surveyors, (43), and Project Managers, (36) i.e. two hundred and forty-eight (248). The sample size was collected using the purposive sampling technique as the targeted sample. The data were analysed using the Relative Importance Index (RII) in order to achieve a concrete and accurate analysis. The results were evaluated and ranked based on the high potential risks prevalent within the construction projects executed during the insurgency period.
Real-Time Large Vocabulary American Sign Language Recognition System for Mobile Devices
Authors: Jimoh K.O
Published: April 2022

The American Sign Language (ASL) is the only major language used in the educational system of hearing-impaired people in Nigeria. The automatic recognition system of the signs has not been currently used for the teaching of hearing-impaired students. This study developed a realtime large vocabulary sign language for ASL implemented on android devices. Samples of static and dynamic hand gestures were collected from the primary school of handicap, Osogbo. The specific objectives include the collection of hand gestures, examining the specific features for the recognition process, designing a model for the specific features examined, implementing the model, and evaluating the performance of the system. The real-time vocabulary sign language was recognized using Convolution Neural Network (CNN) implemented using Python programming language. The developed system was evaluated using precision, recall and accuracy as metrics. The model prediction carried out using the test image has an overall accuracy of 92.98%. The obtained result showed that the system will enhance the learning skills and provide adequate learning platform for both students and the teachers of hearing-impaired schools.
Archachatina marginata Snail-shell as a Feedstock for the Synthesis of Solid Catalysts for Methanolysis of Oil from Palm Kernel in an Optimisation Process
Authors: Ajala E.O.
Published: April 2022

The work studied the synthesis of heterogeneous catalysts from Archachatina marginatas nail-shell (AMS) by calcination at 800oC and 900oC for 2 h, to produce snail shell catalyst (SSC) of SSC800 and SSC900 respectively. The catalysts were subsequently used for palm kernel biodiesel (PKB) production using palm kernel oil (PKO) in an optimisation study using a definitive screening design. The AMS, SSC800 and SSC900 were characterised by Atomic Absorption Spectrophotometer (AAS), Brunauer-Emmett-Teller (BET) and Scanning Electron Microscopy (SEM). The AAS result revealed that the catalysts contained essential elements of Ca, Mg, Na, Si and K which are suitable for transesterification reactions in proportion of 66.67%, 1.12%, 2.06%, 3.01% and 9.33% for SSC800 respectively, and 59.33%, 1.03%, 2.30%, 2.50% and 8.00% for SSC900 respectively. The images of the catalysts revealed improved surface morphologies with larger porosities compared to that of the AMS, having surface areas of 244.2 m2/g and 230.9 m2/g for SSC800 and SSC900respectively. This justified the reason for the higher catalytic activity of the SSC800 compared to the SSC900. The optimisation study gave the optimal conditions for the optimum biodiesel yield of 98.28% as 6:1 MeOH: oil molar ratio, 3 h reaction time, 55oC temperature and 2% (w/w) catalyst quantity of SSC800. The fuel properties obtained for the PKB compared well with the ASTM standard of biodiesel and as such, it is a quality biodiesel suitable for compression ignition engines. Therefore, the Archachatina marginata snail-shell is an effective, suitable, natural and renewable material for catalysts development for commercial biodiesel production.
Comparative Analysis of Rain–Induced Attenuation Models Over Some Selected Nigerian Cities
Authors: Iroka C. J.
Published: April 2022

The fair investigation carried out on rain-induced attenuation at 12.245-GHz over three selected Nigerian cities was carried out in this study. For this work, a time series of rain-induce attenuation at the 12.45 GHz based on 1-minute-rain rate measurements was obtained for -LAUTECH-Ogbomosho, ESUT-Enugu, and FUGUS-Zamfara, respectively in the South West, South East and North Eastern Nigeria over a three-year period (2017–2020). The Received Signal Level (RSL) and rain intensity measurements were sampled at intervals of 10 seconds and integrated over a period of 1 minute. A performance analysis established on the collective allocation of rain rate along with the collective allocation of rain-induced attenuation gotten was reported and compared with some existing rain attenuation models (Garcia Lopez, SAM, Moupfouma and ITU-R models). Attenuation caused by rain as predicted based on the ITU-R and SAM resulted in a clear variation from the measured values by 14%, while the Moupfouma model provides a better fit to the actual attenuation data and then followed by the Garcia Lopez model. The results of this study may be used for planning similar links at the choice frequency band over the locations of interest.
Tourist Site Classification Using Keyword Matching Approach: Towards the Development of a Personality Based Tourist Recommendation System
Authors: Ogunbiyi D.T.
Published: April 2022

The tourism domain consists of emotionally driven experiences between the tourists and their destinations. Psychological aspects of tourists‟ preferences are increasingly becoming an important factor to consider in the development of systems that enhance better recommendations. Studies on analysis of personality traits as well as developed systems on tourism guide/recommendation exist, however, there is less effort towards the classification of tourist sites according to personality traits and its implementation. This study, therefore, attempts to develop a tourist attraction guide through matching keywords from personality types (Big Five personality dimensions) to tourist locations in order to suggest suitable locations. Data on tourist sites were obtained from online sources with a focus on Nigeria tourist sites. The classification and matching of personality type to tourist site was done using trait keywords obtained from reviews, ratings and feedback. The tourist site information was filtered based on the personality type classification in order to deliver information about the tourist site to a user. The system prototype was implemented using HTML, CSS, JavaScript, PHP and MySQL. The resulting system is a web-based application that suggests tourist locations based on the personality preference specified by a user.
Power Transfer Distribution Factor for Transmission Expansion Planning with Consideration on Load Growth
Authors: Ogundare A.B.
Published: April 2022

Reliable transmission expansion planning becomes highly important for effective and smooth operation of power systems. Various approaches for power system transmission expansion have been developed in the literature. The approach presented in this paper is based on the computation of network power transfer distribution factor (PTDF) using Neplan application software. The mathematical formulation of the approach based on Power Transfer Distribution Factor (PTDF) is presented. The main advantage offers by this method is that it is simple and requires no complex mathematical computation for its analysis. The Nigerian 30-bus power system network is used as a case study in this work. Based on the analysis, 12 new transmission lines are proposed for the expansion of the existing network. The results obtained show that the method is effective for transmission expansion during load growth. 30% load growth was implemented with the expanded network and the results showed no violation in bus voltages and no transmission line was overstressed.
Accessibility and Geospatial Assessment of Public Secondary School Education in Osun West Senatorial District, Nigeria
Authors: Olayode O.
Published: April 2022

The study adopts Geographic Information System (GIS) application to analyse the accessibility and spatial configuration of public education at the Secondary Schools (SSs) level in the Osun West Senatorial District (OWSD), Nigeria, in order to provide information and materials to strengthen and promote secondary school education planning. The study also analyses the location of public secondary schools as well as the usage of the allocated space. The data for this study were obtained on the field by using the Global Positioning System (GPS) to determine and analyse the coverage area of OWSD’s 116 Public Secondary Schools (PSSs) based on population density. Settlements with public secondary schools (PSSs) were stratified into three different categories: suburb, with less than 10,000 people; semi-urban with 10,000–19,999 people; and urban with 20,000 people and above. Descriptive statistics and GIS were employed to analyse the acquired data. The research findings established that PSSs within 1km radius (Rs) buffer of the study area were clustered, with 81.8% in the urban were clustered while in the semi-urban and suburb settlement categories 20% and 70.0% respectively were dispersed. According to the findings, at a buffer of 2km Rs, 64.8% of the PSSs in urban settlements were clustered, while (21.4%) and the majority (71.4%) were dispersed in semi-urban and suburb settlements, respectively. In addition, results established that at the buffer of 3km, PSSs were clustered at 63.3% in the urban, 23.1% were dispersed in the semi-urban, and 69.2% in the suburb settlements. Moreover, at 4km buffer PSSs, it is apparent from the findings that the majority of the schools at 55.9% in the urban settlements were clustered, while most of the PSSs at 35.7% in the semi-urban settlements and 56.1% in the suburb settlements were dispersed. Conclusively, this research established a high rate of uneven accessibility to PSSs in OWSD. As a result, it is recommended that foreign and private investors, stakeholders, and government need to pool their resources in order to ensure adequate PSSs education availability to all settlement categories.
Simulation of Sediment Transport in River Ogunpa Using Winxpro Software
Authors: Olaniyan O.S
Published: April 2022

The numerical modelling of sediment transport of a river has long been developed. Rivers across Nigeria has interdicted researchers on modelling sediment transport. The environmental problem makes sediment transport study an important area among morphological mechanisms. This research studied the Simulation and modelling of sediment transport in River Ogunpa using WinXspro software. Suspended Sediment concentration was measured from November 2015 to June 2016 across the upstream, midstream and downstream of River Ogunpa using standard methods. The values of manning’s roughness factor used varied from 0.012 – 0.018. Sediment discharges (QS) were computed across the river using Acker and White approach. The average Suspended Sediment Concentration (SSC) across River Ogunpa varied from 2 – 64mg/L. The mathematical relationship for the sediment discharge value was QS = 64625Q + 12922. The estimated Qs varied from 0.00 – 23012kg/s. The variation in measured and validated discharge ranged between 0.95 – 4.19%. Sediment discharge across River Ogunpa was simulated using Winxpro software. The sediment discharge value can be a piece of useful information for dredging operation on River Ogunpa.
Development and Evaluation of Egg Processing Machine for Poached Eggs Production
Authors: Adepoju A.L
Published: April 2022

This study was carried out to develop and evaluate an egg processing machine for poached eggs. The parts of the machine include the hopper, conveyor screw, the main housing, shell outlet, liquid egg outlet, motor, belt, pulley and cooking section. Materials for construction of the machine were carefully selected by balancing availability, durability, resistance to corrosion, suitability for food contact application with cost. The machine was evaluated in terms of throughput and material capacities and the values obtained were 301.14 kg/h and 548.4 kg/h respectively. Proximate compositions of the raw and poached eggs were 0.655%, 10.751%, 6.722% and 0.569%, 9.849%, 6.344% for ash, protein and fat contents respectively. It can be deduced that there was no reduction in the quality of the poached eggs as compared to the raw eggs.
Assessment of Total Petroleum Hydrocarbon Degradation by Endophytic Fungi Isolated from Water Hyacinth (Eichhornia Crassipes)
Authors: Wahab A.A
Published: April 2022

Petroleum exploitation has negative impacts on the environment, such as oil spills, likewise, health implications on humans. The ability of newly isolated six fungal endophytes for degrading total petroleum hydrocarbons was evaluated. Their ability for hydrocarbon biodegradation was assessed in vitro for 35 days, using the minimal salt medium incorporated with products of crude oil, like petrol, kerosene, diesel, spent engine oil, unspent engine oil as the carbon source. Each fungus was introduced into test tubes containing minimal salt medium and petroleum products, the tubes were then incubated on shaker incubator at 27ºC, 151rpm for 35days. At every 7days, turbidity was measured with photoelectric colorimeter at wavelength of 530nm. In this study, the petroleum hydrocarbon degrading fungi isolated from Water Hyacinth leaves were identified using morphological techniques. The six fungi isolated were identified as; Aspergillus niger, Penicillium canescens, Penicillium atrovenetum, Trichocladium opacum, Thermomyces lanuginosus and Penicillium spp. In this experiment, it was evident that all the fungi were able to utilize hydrocarbons for their growth, at different rates. Aspergillus niger demonstrated high capacity to biodegrade diesel and spent engine oil, Penicillium canescens was excellent to utilize petrol, while Penicillium atrovenetum had the potential to degrade unspent engine oil and kerosene. The results obtained suggest that these endophytic fungal isolates are potential hydrocarbon biodegraders that could be used in bioremediation processes.
Influence of Sun and Oven Drying Methods on the Proximate, Phytochemical and Vitamin C Composition of Fermented African Locust Beans (Parkia biglobosa) Powder
Authors: Adepoju A.L.
Published: April 2022

This research was carried out to determine some of the nutritional compositions of dried fermented African locust beans powder. Fermented locust bean is generally prone to deterioration and therefore adequate preservation methods are essential to obtain bean powder of good quality. In this study, two drying methods (sun and oven drying) were used to produce fermented dried locust bean which was later milled into powder. The oven-drying experiments were conducted for two air drying temperatures, 45oC and 55oC. The rate of moisture removal was determined by the weight loss which was measured at a 1-hour interval until a constant weight was reached. Proximate, phytochemical and vitamin C contents of the dried powder were analysed and the results showed that oven-dried (55oC) locust bean sample has the lowest moisture content of 4.70% when compared to other samples. However, oven-dried locust bean sample at 45oC had higher values of protein and Vitamin C of 37.05% and 3.03 mg/g respectively. It can be concluded from this study that oven-dried African locust beans powder samples generally retained the nutritional compositions studied better than sun dried samples.
Microbiological Assessment of Irrigation Water That Serves as Watershed for Wastewater in Osogbo and Its Impact on Fresh Vegetables
Authors: Olaitan J.
Published: April 2022

This study was designed to investigate the microbiological safety of irrigation water along with waste effluents and their impact on vegetables. Irrigation water samples situated amongst hospital, abattoir and petrol station were aseptically collected with fresh vegetables simultaneously. Physicochemical, microbiological and molecular studies were carried out using standard methods. The result of the physicochemical analysis shows that the irrigation water samples temperature ranged from 23.4-24.8oC while the pH ranged from 7.24-7.51. The bacterial count of isolates showed that the water samples were highly contaminated with microbial count ranging from 9×102 to 151×104cfu/ml which has exceeded the WHO microbial count recommendation for potable water (10×103cfu/ml). Organisms isolated from both water and vegetable samples were all pathogenic. Antimicrobial susceptibility test results showed that all the isolates were susceptible to cefepime and oxacillin while 60% of the isolates were multidrug resistant. Aeromonas taiwanensis was recovered from both the water and vegetable samples. This however calls for huge attention as Aeromonas species are potential pathogenic organisms that can be isolated from both clinical and polluted environmental samples such as wounds, petrol and abattoir litters. Therefore, it can be concluded that wastewater effluents should not be channeled directly into surface water bodies without prior safety treatments.
Design and Simulation of Synthetic Palm Vein Image Generation
Authors: Adebayo O.Y
Published: April 2022

The unavailability of large-scale palm vein databases due to their intrusiveness have posed challenges in exploring this technology for large-scale applications. Hence, this research modelled and generated synthetic palm vein images from only a couple of initial samples using statistical features. Variations were introduced to the three optimized statistical features (S3; mean vectors, covariance matrices and correlation coefficient, S2; mean vectors and covariance matrices, S1; mean vectors, NS; acquired images) which were used to generate synthetic palm vein images employing Self Organizing Map (SOM) as classifier and were evaluated based on Equal Error Rate (EER), Average Recognition Accuracy (ARA) and Average Recognition Time (ART). The results obtained from the experiment showed that EERs were 0.22, 0.51, 0.58 and 4.36 for S3, S2, S1 and NS respectively. S3 had superior ARA (99.83%) compared with S2 (99.77 %), S1 (99.70 %) and NS (98.33 %). The ARTs obtained were 84.97s, 75.55s, 84.04s and 681.74s for S1, S2, S3 and NS respectively with S2 (75.55s) having significantly least value. This is on the ground that the more the optimized statistical features, the better the recognition accuracy. The research outcome justifies the extraction of mean vectors, covariance matrices and correlation coefficient with GASOM.
THE IMPORTANCE OF THE LEVEL OF PREPARATION OF TEACHERS IN THE FIELD OF CRITICAL THINKING IN THE CURRENT EDUCATIONAL SYSTEM
Authors:   Moldova State University, Balerca Vasilica
Published: April 2022

The current educational situation shows us that the education system is becoming more and more aware of the importance of training students' ability to think critically by making viable, reasoned decisions based on verifiable information and adopting an open and curious vision. The entire responsibility for a harmonious training according to the psycho-pedagogical and age particularities and in accordance with the dynamic requirements of the society rests with the teacher who “orchestrates” and coordinates this systematic and sustained approach to obtain results on cognitive, behavioral and attitudinal level. An effective coordination of the instructive-educational activity must be based on a rigorous scientific training and responsible for a successful educational act.
EXPERIMENTAL APPROACHES TO IDENTIFY THE DYNAMICS OF THE DEVELOPMENT OF DIGITAL COMMUNICATION COMPETENCE THROUGH CLOUD TECHNOLOGIES
Authors:   Tiraspol State University, Republic of Moldova, Popovici Ilona
Published: April 2022

The process of digitizing education, automating most industries and professional fields, transferring interpersonal and professional communication to the online environment is inevitable. To facilitate and streamlining this process, it is necessary to develop both - digital competence and digital communication competence in students. This article presents the impact of the use of digital technologies, especially cloud technologies, on the development of digital communication competence in students. The formulated conclusions are supported by a pedagogical experiment conducted on a sample of 266 students from 4 universities in the Republic of Moldova. As a result of the pedagogical experiment, it was found that the use of digital technologies, especially cloud technologies, in the process of developing digital communication competence in students increases its level of ownership.
METHODOLOGY OF SOLVING COMBINATORY PROBLEMS
Authors:   Tiraspol State University, Republic of Moldova, Lupu Ilie
Published: April 2022

The subject presented in the article points out major problems of the methodology of solving combinatorics problems, accessible to high school students, contains an impressive number of exercises, accompanied by solutions with the application of various strategies. The paper will contribute to the development of mathematics education, providing a useful and effective scientific and didactic support.
MNCAA: Balanced Style Transfer Based on Multi-level Normalized Cross Attention Alignment
Authors: Heng Liu , zhipeng mi , Feng Chen , Han Jungong
Published: April 2022

Given a content image and an artistic style one, style transfer usually refers to applying the patterns learned from the style image to the content image to generate a new stylized image. Despite the thrilling success achieved by existing style transfer methods, most of them are in the mire of two limitations: 1) cannot preserve the structure of the content image well; 2) cannot generate delicate enough style effects or may produce significant artifacts. It is a challenge to maintain a balance between content structure preservation and style pattern transformation. In this work, we observe that multi-level content-style cross attention can extract the content features matching to the style characteristics at different feature levels. In addition, we also find that through multi-level dynamic normalization and alignment, hierarchical content-style cross attention can effectively transform the content image through the style characteristics of different levels while preserving its local structure and semantics as much as possible. The perceptual loss and the contextual loss are introduced individually to ensure the generated stylized image is close both to the content image and the style image in the feature space. At the same time, the identity loss of the content image and the style one is deployed to encourage the proposed model to retain the global appearance and the feature semantics of the input images without overall statistical deviation. A large number of qualitative and quantitative experiments and evaluations on the benchmark MSCOCO and WikiArt datasets demonstrate that, compared with other state-of-the-art (SOTA) methods, the proposed approach can obtain high-quality stylized images with structure-style balance. The project code is available at https://github.com/hengliusky/MNCAA.
Securing Electronic Health Records against Insider-Threats: A Supervised Machine Learning Approach
Authors: Hurst William
Published: April 2022

This article focuses on insider-threat detection within healthcare infrastructures. There are inherent dangers to digitising patient records and considering the sensitive nature of the data, EHR is equally at risk of both external threats and insider attacks, but security applications are predominantly facing the outer boundary of the network. In this work, the focus is on insider data misuse detection. The approach involves the use of supervised classification (decision tree, random forest and support vector machine) based off pre-labelled real world data collated from a UK-based hospital for the detection of EHR data misuse. The results demonstrate that by employing a machine learning approach to analyse EHR data access, anomaly detection can be achieved with a 0.9896 accuracy from a test set and 0.9908 from the validation set using a support vector machine classifier. The emphasis of this research is on the detection of EHR data misuse, through the detection of anomalous behavioural patterns. Based on the results, the recommendation is to adopt an SVM for data misuse/insider threat detection
Evaluation of furrow infiltration by Swartzendruber and Horton’s models in Northern Guinea savanna of Nigeria
Authors: H.G. Aminu , O.J. Mudiare , M.A. Oyebode , A Abdulkadir , Z. Aminu
Published: April 2022

The study aimed at evaluating two models (Swartzendruber and Horton) using furrow infiltration data measured in Samaru, Zaria. These measurements were carried out on the three field plots A, B and C. Infiltration parameters were generated from the data measured from plot A and B and fitted into the models for predictions of water infiltrated depths at different time intervals. The predictions from the models were compared with the measured field data from plot C. Statistical indices such as coefficient of determination (R2), root mean square error (RMSE) and T-test at 5% level of significance were used to determine the best performing model. The results show that, value of R2 and RMSE recorded for Horton’s model was 0.996 and 3.05, while the value of R2 and RMSE recorded for Swartzendruber’s model was 0.998 and 3.01, respectively. The T-test values obtained for Horton’s model was 2.93, while 2.51 was recorded for
Swartzendruber’s model. The results of the evaluation indicated that both models
were considered suitable because they presented high values of R2 and low values
of RMSE as suggested by Aminu (2019). Similarly, the results obtained from the
T-test statistics indicated that there is a no significant difference between the
models evaluated because the calculated values of ‘T’ 2.93 and 2.51were greater
than the tabulated value 2.365 at 5% confidence interval. Therefore, this study
recommends that both models should be used to predict infiltration rates of soils
in the study area.
العوامل المؤثرة في نجاح تعليم اللغة العربية
Authors: Mahmuddin Ronny , Munira Munira
Published: April 2022

This study aims to describe the factors that influence the success of teaching Arabic. This type of research is descriptive qualitative research using the library research method. The results of the study indicate that the determining factors that influence the success of teaching Arabic, namely: (1) determining teaching objectives which include teaching plans, teaching materials and evaluations; (2) a teacher who has a very urgent role; (3) teaching facilities; (4) students, taking into account the background and abilities of the students; and (5) teaching environment. These five factors are interrelated with each other in realizing the success of teaching Arabic.
On methodology of comprehensive assessment of ecological state of Ufa city
Authors: Kholukhoyeva Assya D. , Khaziakhmetov Rashit M.
Published: April 2022

In Russia, all the regions are initially considered economically and socially complex systems that develop along the path of a huge set of conditions and processes arising in the internal and external environment. In my opinion, these types of processes should include limitations and resource opportunities, various changes in society, areas of development of the institutional area of the formation of environmental factors, processes and phenomena in the production of non-material, as well as, most importantly, of a material nature. It should be noted that the main and most important basis of the material base studied by me is the economic structure of the regional ecological system of the region, which to a greater extent characterizes stability and its ability to dynamically develop, improve the region as a whole, and its individual territories in particular, through the identification of the input flow and the values and results obtained at the output. It is important to focus attention on the fact that all economic and ecological systems in the process of their development at various stages of evolution are predominantly of the inertial type, which indicates the lack of development of a scientifically based system characterizing these states. In this regard, there are many global issues, both from a scientific point of view and from a practice-oriented direction. Thus, the author in this article examines the issues of methodological analysis and critical criteria explanation of the methodology of comprehensive assessment of the ecological state of the city of Ufa of the Republic of Bashkortostan in its close relationship with economic systems and structures.
The Role Of Microfinance In Poverty Reduction: Countries Experiences by Regions 2000-2018
Authors: El-Nasharty Heba
Published: April 2022

Purpose of the Study: This study aims to assess the effect of microfinance provisions on poverty reduction in some developing and few developed countries across different regions and assess the effect of regions and time on the performance of the microfinance industry. Methodology: A panel data model and pooled OLS are used to estimate the effect of microfinance indicators; the number of microfinance institutions, gross loan portfolio, microfinance intensity (gross loan % GDP), along with other control variables; inflation, employment, population growth, trade openness, agriculture and industry shares in GDP, on the three poverty headcount ratios ($1.9, $3.2 & $5.5 a day). The empirical model is estimated using panel data of 91 countries across six different regions from 2000 till 2018. The study depends on World Development Indicators and Microfinance Information Exchange (MIX) Market data. Main Findings: The study findings reveal a significant effect of the three microfinance indicators and some control variables on reducing poverty. And that enhancing the performance of this sector will help governments in their goals towards poverty reduction. Research limitations: Literature covering the effect and performance of microfinance in developed and many developing countries are still to be considered insufficient thus, studying the impact of microfinance and its performance in such economies is challenging. Further, enhanced studies are needed for better assessments and identifying the gaps and means of improvements required. Novelty/Originality of the study: This empirical study estimated the effect of microfinance variables, along with other control variables, on the three poverty headcount ratios across many developing and developed countries in different regions over nearly two decades, which is not tested before.
Operational Risk Management And Performance Of Cooperative Microfinance In Thailand
Authors: Annannab Haris , Abu Bakar Arpah , Bt. Mohd Khan Shazida Jan
Published: April 2022

Purpose of the study: This study aims to examine the operational risk management (ORM) impact on cooperative microfinance performance by identifying specialization as a moderator with respect to the relationship between ORM and cooperative microfinance performance.

Methodology: The survey questionnaires were distributed to 455 respondents, all of whom were senior officers of saving and credit cooperative microfinance service providers (MSPs) in Thailand, using a quantitative technique. The data analysis was performed employing SmartPLS software version 3.0 and the Structural Equation Modeling (SEM) method.

Main Findings: The result indicates that cooperative microfinance performance is significantly affected. Here, specialization moderates the relationship between ORM and cooperative microfinance performance.

Research limitations/implications: The survey used a cross-sectional design by only examining credit and saving cooperative MSPs. It employed a quantitative method and relied on a single mode of data collection. The implication of this study will be important for policymakers like the Bank of Thailand and the Ministry of Finance in Thailand when it comes to developing microfinance policies and programs.

Novelty/Originality of this study: This study is unique in that it examines the impact of ORM on cooperative microfinance performance and recognizes specialization as a moderator.
Physical activity in short study breaks: Short-term effects on cognition and potential for implementation in students’ everyday life
Authors: Niedermeier Martin , Steidl-Müller Lisa , Kopp Martin
Published: April 2022

Prolonged bouts of sitting while studying are a common behavior in college students. To prevent sitting-induced decline in cognition, restorative breaks are necessary. The activity during the breaks should be beneficial for cognitive abilities and should show characteristics favoring the implementation of the activity in students’ everyday life. Therefore, the aim of the present study was to investigate the effect of a short physical activity intervention (running) on cognition and behaviorally important variables.
Using a within-subject crossover design with randomized starting order, 15 students of sport science completed a ten-minute running bout and a sitting bout with equal duration (washout: one week). The basal cognitive domain of visual attention was assessed immediately post-intervention using a modiﬁed trail making test. Information on perceived efficacy, aﬀective states (pre, post, and at follow-up 30 minutes after the intervention), and satisfaction with the intervention (at follow-up) was collected.
Visual attention showed a significant period-by-sequence group interaction, p = .028, part. η² = 0.32, with higher attention immediately after the physical activity bout compared to the sitting bout. Perceived attention, p = .048, part. η² = 0.19, and perceived arousal, p = .007, part. η² = 0.30, showed significantly stronger pre-post increases after the physical activity bout compared to the sitting bout, which were not evident pre-follow-up, p > .596. No significantly different changes in affective valence were found between conditions, p = .669, part. η² = 0.03.
The findings suggest a short-term positive effect of the physical activity bout on cognition, revealing the potential of using physical activity bouts intentionally prior to cognitively challenging study tasks in the population of students of sport science. Furthermore, the physical activity bout in the present form (running indoors) showed limited potential for an implementation in students’ everyday life since the behaviorally important variables were similar at follow-up.
QALIQ NEFTIN SÜZÜLMƏ PROSESINƏ KAPILYAR QÜVVƏLƏRIN TƏSIRI
Authors: Yevgeniya Məmmədova Yevgeniya Məmmədova , Eldəniz Aşırov Eldəniz Aşırov
Published: April 2022

Azərbaycanda uzun müddət işlənilən neft yataqlarının tədqiqi göstərdi ki, quruda qalıq ehtiyatları təqribi olaraq 150 milyon ton, dəniz yataqlarında isə 600 milyon tondur. Əsas məsələ işlənmənin son mərhələsində laylardan neft hasilatını artırmaq üçün müxtəlif üsulların düzgün seçiminə qərar verməkdir. Neftvermənin artırılması və qalıq neftin çıxarılması neft sənayesinin əsas vəzifələrindən biridir.
Abşeron neft yataqlarının işlənməsi praktikası göstərir ki, quyuların məhsullarında su fazası yaranmağa başlayıb. Bu mənfi hal lay neftinin debitinin azalmasına səbəbdir ki, bu da quyuda suyun yaranması və neft həcmlərinin azalmasından xəbər verir.
Böyük ehtiyatlara malik aşağıkeçiricilyi olan tükənmiş kollektorların işlənilməsində laya suyun vurulması yolu ilə lay təzyiqinin saxlanılması müşayiət olunur. Məqalədə proses mikroskopik səviyyədə (məsamələrin kapilyarlarında) nəzərdən keçirilir.
Çoxfazalı süzülmə modelinin simulyatorunda aparılan tədqiqatlar süxur komponentlərinin məsamələrindən axan təzyiqlər fərqini nəzərə almaqla, şəbəkə bloklarının sərhədlərində kapillyar effektlərin rolunu aşkar etməyə imkan vermişdir.
Açar sözlər: tükənmiş laylar, lay nefti, kapillyar qüvvələr, özlülük.
FİZİKİ-KİMYƏVİ TƏSİR ÜSULLARININ TƏTBİQİ İLƏ NEFTVERİMİNİN ARTIRILMASI
Authors: Kamal Nəbiyev Kamal Nəbiyev
Published: April 2022

Tədqiqatların aparılması zamanı neftin işçi agent vasitəsilə sıxışdırılması effektliyini artırmaq məqsədilə quyu vasitəsilə layda seçilmiş kompozisiyanın lay suyunda məhlulundan ibarət araqatı yaradılır və bu araqatı sonradan vurulan lay suyu vasitəsilə hərəkət etdirilir. Nəticədə, neftin laydan işçi agent vasitəsilə daha yaxşı sıxışdırılmasına şərait yaradılır.
Neft sənayesində həmişə laylara tətbiq edilən SAM-ların hansı həddində daha yüksək iqtisadi səmərə verə biləcəyi barədə mülahizələr aparılır. Başqa sözlə iqtisadi nöqteyi-nəzərdən fiziki-kimyəvi təsir üsulunun tətbiqi zamanı qiymətcə ucuz reagentlərdən istifadə olunması tələb olunur. Kompozisiyanın işlənilməsi zamanı elə reagentlərdən istifadə edilməlidir ki, onlardan böyük həcmdə istifadə etmək mümkün olsun və eyni zamanda onların qiyməti ucuz olsun.
Neft sənayesi inkişaf etmiş ölkələr sırasında Azərbaycanın da öz yeri var. Buradakı zavodlarda neftin emalı zamanı tərkibində qiymətli komponentlər olan böyük həcmdə tullantılar alınır ki, bu tullantılardan layların neftveriminin artırılmasında istifadə etmək mümkündür.
Açar sözlər: Səthi Aktiv Maddələr (SAM), neft yataqları, neftverimi, özlülük, lay.
Utilization of Autonomic Rights for Regions in Managing the Sea or Beach Area in Jakarta, Indonesia
Authors: Susilo Sri Herowanti
Published: April 2022

An attempt to utilize marine areas based on Law no. 32 in 2004, it concerns about the Regional Government which contains the regional authority to manage their marine areas. Such authority is as stated in Article 18 paragraph (1), “they are; exploration, exploitation, conservation and marine management”. In order for regional autonomy to have a positive impact on the management of coastal/marine areas, it requires a commitment from the local government and the community in managing the marine sector in their jurisdiction to gain added value or a strategic role on an ongoing basis. Law No. 32 in 2004 has been changed to Law no. 23 in 2014, Article 14 paragraph (6).
Critical Discourse Analysis on the Regulation of the Minister Number 30 of 2021 Concerning the Prevention of Sexual Violence
Authors: Anggini Wulan Yulian
Published: April 2022

Indonesian education so far has kept a problem that has not received the attention of all stakeholders, namely sexual violence that occurs to students. Victims are faced with the power relations of educational institutions whose reputation is tarnished because of cases of sexual violence. The existence of social media as a social driver is able to mobilize cases of sexual violence on Campus to become a national issue. This prompted the Ministry of Education and Culture to issue Ministerial Regulation no. 30 of 2021 concerning the prevention and handling of sexual violence in universities. This research focuses on critical discourse analysis of this Ministerial Regulation. This research is a descriptive-qualitative research type. To gain comprehensive power of qualitative research analysis, the research phase requires the power of reason which is the source of analytical ability (Arikunto, 2010). The scalpel uses the critical discourse analysis technique of Norman Fairclough's model. The main study is focused on microstructural (text), mesostructure (discourse practices), and macrostructural (sociocultural practices) data. The study results are, first, this regulation is motivated by the phenomenon of the iceberg of sexual violence in the university environment. The government feels the need to provide legal certainty to perpetrators and victims. Second, in this regulation, the government uses educational narratives, prevention, and handling, protecting whistleblowers, and restoring victims' rights. Third, this regulation impacts the social life of the community through various responses.
How is Social Media Addiction Impact on the Psychological Well-being of Employees
Authors: Fatah Ali , Anindita Rina
Published: April 2022

This study contributes to how measure the influence of social media addiction on the welfare of non-financial employees and employee performance, and contributes to the information on how to limit the limits in playing social media, especially when at work and the adverse effects of playing social media excessively, by playing social media overly will affect productivity in doing work. Based on previous research related to the influence of social media addiction on employee well-being and employee performance, data collection in this study uses survey methods that use the dissemination of questionnaires. Data were processed from as many as 153 respondents and were selected by purposive sampling method from February to May 2021 in the DKI Jakarta-Indonesia area.  This type of research is causality-quantitative using the analysis method of structural equation model (SEM) data. This study shows that the higher the level of social media addiction, it will improve the welfare of non-financial employees but have no impact on employee performance. An interesting finding in this study is that social media addiction will indirectly improve performance through non-financial well-being.
Instant Reminder: The Impact of E-Communication on First Year College Students
Authors: Chang Ching-Wen , Pearman Cathy
Published: April 2022

Electronic communication is the standard method of communication among college students. However, which format of e-communication is most preferred seems to be somewhat of a moving target. Utilizing a researcherdeveloped survey, this study investigated the use of Remind, a popular form of instant messaging, for communication between the instructors and students in two sections of a required, first-year college orientation course. The use of this instant messaging platform was compared to the use of email. Two research questions drove this study. When asked whether instant messagebased course communication was more effective than email communication, 75.4% of participants agreed, with 61.5% reacting to information in Remind more quickly than messages via email. Information from the second question showed 94% of participants felt Remind helped them organize their learning. Overall, the responses to the use of Remind were positive, and it was clearly preferred over traditional email communication for a number of reasons delineated in the study. Actual participant comments are included.
Transition to Kindergarten Videos and Their Relationship to Family Engagement
Authors: Walsh Bridget , Jeon Hyun-Joo , Dove Meghan , Su Shu
Published: April 2022

Transition to kindergarten videos (in English and Spanish) are one proposed technology tool to promote parental engagement. Regression analyses were conducted to examine links between parents’ video experience and parental self-efficacy, teacher communication, and school communication. High parental self-efficacy was associated with more positive perceptions about teacher communication but less positive perceptions about school communication. Parents’ experience of the transition video was not associated with their parental self-efficacy. Viewing videos with children was only associated with lower levels of parental self-efficacy. Implications for practice and future research are discussed.
An Examination of Active Learning Environments: A Non-parametric Analysis on Student Learning Assessments
Authors: Lee Angela
Published: April 2022

Flipped learning has an almost 20-year history. However, the research is as ambiguous as it has been since its inception. This pedagogical model lacks consistent results. One key component that does have an impact, but not the only factor, has been an active or dynamic component included into the learning environment. The goal of this study was to examine the impact of active learning environments compared to traditional learning environments on student learning assessments. Using non-parametric analyses, the findings in this study did demonstrate that an active learning environment increased scores on student learning assessments. This, like previous studies, demonstrated inconsistent results in that not each assessment was statistically significant. Because this model keeps appearing in the research, further studies need to address the issues to hone the model to be consistent across the research.
Cyber Education outside the Cyberspace: The case of the Catholic University Institute of Buea
Authors: Nyinkeu Ngatchu Damen , Anye Divine , Kwedeu Leonnel , Buttler William
Published: April 2022

In this era of technological abundance, it is difficult to imagine cyber education outside the cyberspace. The purpose of this paper is to extend the growing body of research on cyber education, by reporting the experiences of a Cybersecurity department cu toff from Internet access. The value of Cyber education is expressed even beyond the cyberspace. This qualitative exploratory study uses semistructured interviews and content analysis to collect a wide variety of rich data in order to demonstrate the need and possibility of cyber education, even without Internet access. Willingness to learn and the hope of a fulfilled career were found to be the most significant factors for students' continual motivation. The presence of an eminent “force majeure” was seen more as an opportunity for novel explorations. In contrast to customary thinking, the constructs of information security and assurance were fully fledged outside the cyberspace.