bluuebunny/crossref_metadata_2025 huggingface dataset:
Upaya Meningkatkan Kemampuan High Order Thingking Skill Peserta Didik melalui Model Pembelajaran Problem Based Learning di Kelas VIII SMP Negeri 2 Lolowau
Authors: Zega Margareta
Published: February 2024

This Classroom Action Research (PTK) aims to describe how efforts are made to improve students' Higher Order Thinking Skills through the Problem Based Learning Model in Class 8 of SMP Negeri 2 Lolowau. This type of research is Classroom Action Research (PTK) using qualitative and quantitative approaches. This Classroom Action Research (PTK) consists of 2 cycles. Cycle I was carried out on December 11-12 2024. Meanwhile cycle II was carried out on January 22-23 2024. The subjects in this classroom action research (PTK) were class VIII students at SMP Negeri 2 Lolowau with a total of 32 students. The results of the research showed that in the first cycle, the student learning test scores showed that of the 32 students who were the research subjects, there were 19 or 59% who got scores in the poor category, and 13 students or 41% who got scores in the good category. This means that, after implementing the problem-based learning (PBL) model, the HOTS results of class VIII students at SMP Negeri 2 Lolowau in cycle I experienced an improvement but had not yet reached classical completion. Therefore, researchers continued research in cycle II. The student HOTS results obtained in cycle II were 32 students who were research subjects, showing that 100% of students achieved completeness with an average score of 81.7. This shows that the application of the problem-based learning (PBL) model with the improvements made after implementing cycle I has increased and has achieved classical completeness. From the overall results, it can be seen that the classroom action research carried out from the initial conditions to the end of cycle II showed an increase in both activities and Higher Order Thinking Skills of class VIII students at SMP Negeri 2 Lolowau.
Abordagem Cognitiva Para Interrogatórios
Authors: Britto de Melo Henrique , Pagnussat Júlia , Cecconello William Weber , Favero Gabriela Cristina
Published: February 2024

O interrogatório é um procedimento rotineiramente utilizado na investigação policial. Entretanto, há uma lacuna científica sobre técnicas de interrogatório baseadas em evidências utilizadas no Brasil. Esta revisão narrativa reúne bibliografia referente ao uso de técnicas de interrogatório e respectivos resultados práticos de sua eficácia. Primeiro, analisamos a abordagem acusatória, método que utiliza a indução de estresse no suspeito, com o objetivo de analisar supostos indicadores de mentira e obter uma confissão. Estudos da Psicologia Cognitiva demonstram que esta abordagem reúne informações pouco confiáveis e pode gerar falsas confissões. Como alternativa, propõe-se a abordagem com foco na coleta de informações, que visa uma cooperação com o suspeito e busca incentivá-lo a falar sem a utilização de coerção. Ao final, explicamos como a Psicologia Cognitiva tem auxiliado a tornar as práticas de interrogatórios mais eficazes em outros países, sugerindo possíveis caminhos para o Brasil.
The Effect of Using Black Tea as an Alternative Diuretic on Multislice Computed Tomography (MSCT) Urography Examination
Authors: Widyasari Dina , Choridah Lina , Ardiyanto Jeffry
Published: February 2024

The MSCT urography examination requires patient preparation, such as fasting and drinking water.In addition,some hospitals use water,furosemide to accelerate the increase in urine volume.However,Furosemide is a chemical diuretic that is feared to increase the workload of the kidneys. So a natural alternative is needed, namely black tea.This study aims to determine the effect of black tea as an alternative diuretic on the urography MSCT examination. This is quasi-experimental research conducted at RSUD by Dr. Soehadi Prijonegoro Sragen,Central Java. Respondents in this study consisted of 18 outpatients with an MSCT urography examination. These respondents were divided into three groups, namely the group of mineral water, furosemide,and black tea, and three radiology doctors. The scanning process uses MSCT 128 Slice and then tracks MSCT urography with the Curved Multiplanar Reconstruction (MPR) application.Data obtained from observations,questionnaires,and interviews with radiologists was then processed and analyzed using quantitative methods.Normal distributed data was analyzed using the ANOVA test. The results showed a significant difference from the assessment of kidney HU,liver HU, and ureteral dilatation in the mineral water, furosemide, and black tea test groups with sig values.<0.05.Black tea increases Hounsfield Unit (HU) values in the kidneys,lungs,liver,and ureteral dilation, as a tracking picture shown in the Curved Multiplanar Reconstruction(MPR) application. This confirms that black tea can be used as a natural diuretic alternative for some reasons:effective, fast, easy, and inexpensive.It makes it easier to track kidney stones.The operation of curved multiplanar reconstruction(MPR) applications during reconstruction can display more optimal image results to support more accurate diagnostic information.
Applying Early Warning Score (EWS) in hospitals for adult mortality risk factors
Authors: Wahyudi Purnomo , Viky Viky Noviani Hemu , Suprayogi  , Setiyarini Sri
Published: February 2024

The mortality rate among adult hospital patients is a significant indicator in assessing the quality of care and health services. High mortality rates can affect a hospital's reputation, reduce the credibility of medical personnel, and trigger public anxiety. Failure to recognize the worsening of a patient's condition can delay appropriate life support management. This scoping review aims to identify and analyze the Early Warning Score (EWS) application for adults with risk factors for death in regional general hospitals (RSUD). The scoping review was conducted by searching literature using electronic databases from January 2018-May 2023, such as PubMed, ScienceDirect, LibMed UGM, and hand searching. Relevant articles were selected based on inclusion criteria. The results contained two main themes: factors related to mortality in adult patients and the benefits of implementing EWS on the clinical outcomes of adult patients. Implementing EWS in adult patients with high-risk factors for mortality at Regional General Hospitals can help identify the worsening of the patient's condition early, reducing the risk of death. Increasing awareness of the importance of EWS, EWS training, and consistent use of EWS according to hospital protocols can help reduce mortality and improve overall patient clinical outcomes.
Editorial note
Authors: Awulachew Melaku Tafese
Published: February 2024

When we consider improved nourishment for our bodies, do we remember to priorities our brain? It is the one area of our bodies that has been overused recently. However, we rarely give it special nutritional care. What nutrients does the brain require, and which foods contain them? Eat largely plant-based foods like fruits, vegetables, legumes, and whole grains. Vegetables, particularly green leafy ones like kale and indigenous leaves, dark green ones like broccoli, yellow ones like pumpkin, and purple ones like red cabbage, are high in beneficial vitamins and antioxidants. These are excellent for brain function. Berries, particularly blueberries and other dark red berries prevalent in your local food chain, curcumin found in turmeric, and most nuts, particularly almonds, are beneficial, as is the oil they contain. There is an increased interest in what people eat, and there is just too much information and marketing out there, which can confuse consumers. Foods like chia seeds, pumpkin seeds, and quinoa have recently been labelled as exotic and uniquely beneficial; edible mushrooms are said to be great; and insects, which have always been eaten in Africa, are gaining popularity worldwide.
Racial Polarization in Sponsorship of United States Civil Rights Legislation
Authors: Jackson Joshua Conrad , Kteily Nour Sami
Published: February 2024

Who has supported the policy interests of historically marginalized groups in the U.S. over the last 50 years? We test this question by creating a dataset of 202,775 House of Representatives bills from 1973 – 2022, and using it to track who sponsors bills protecting the civil rights of minority groups. We find that the total volume of civil rights legislation has remained stable over the last 50 years, but there have been contrasting trends beneath the surface. As racial minorities have gained more seats in Congress, minority legislators have shown greater commitment to sponsoring civil rights bills. In contrast, White legislators, who still hold most seats in Congress, have sponsored fewer civil rights bills, even controlling for overall productivity. This negative trend is strongest among White Republicans, but White legislators from both parties have sponsored fewer civil rights bills relative to minority legislators over time. These contrasting trends have created a racial divide which overshadows party differences. White legislators sponsored nearly 100% of civil rights bills in the early 1970s, but now sponsor approximately 40% while holding approximately 75% of House seats. We test several plausible reasons why the average White legislator is sponsoring fewer civil rights bills, but find no empirical support for any of them. The trend cannot be explained by controlling for the diversity of Congress, the districts where White legislators have been re-elected, or voter preferences. Racial polarization has been starkest in the last 10 years and shows no signs of abating.
Exploratory Structural Equation Modeling and the Curse of Dimensionality: A Regularized Least-squares Approach
Authors: Lê Trà T. , Vermunt Jeroen , Van Deun Katrijn
Published: February 2024

Existing latent variable methods are found to fail or provide unstable solutions when the number of variables is large compared to the sample size. To tackle this issue, we propose a two-stage regularized least-squares approach for exploratory structural equation modeling. In the first stage, we introduce a novel exploratory factor analysis technique that not only estimates the measurement model but also the factor scores; indeterminacy of the measurement model is addressed by imposing simple structure through regularizing techniques. The factor scores can then be used to estimate the structural model in the second stage. An extensive simulation shows that the proposed method outperforms other approaches in recovering the underlying sparse structure of the measurement model in both low-dimension high-sample-size and high-dimension low-sample-size settings. It also estimates the path coefficients of the structural model with low bias. An implementation of the proposed method in the R software is publicly available: https://github.com/trale97/RegularizedLSLV.
(Proposal) From Thought to Senses: Assessing the Presence of a Relationship Between the Generation Effect and Multisensory Facilitation
Authors: Ritchie Michaela , Wilbiks Jonathan
Published: February 2024

The proposed study will investigate the relationship between the generation effect, a memory advantage for self-generated verbal information, and the multisensory facilitation effect, a phenomenon wherein congruent sensory inputs enhance cognitive processing. Although extensive research has explored the generation effect, the multisensory aspect of this task has been overlooked. The proposed study aims to determine if the generation effect is modulated by the multisensory facilitation effect. Multisensory facilitation involves the brain's ability to efficiently process information from diverse sensory sources simultaneously, enhancing cognitive performance. The proposed study will employ a 2 (Task Type: generate, read) X 3 (Sensory Modality: auditory, visual, audiovisual) factorial design, utilizing word pair lists and cued recall tests. It is hypothesized that the multisensory facilitation effect will amplify the generation effect, particularly in the audiovisual condition. This research contributes to understanding the interplay between self-generation, multisensory processing, and memory, providing insights for cognitive mechanisms, and having implications for educational settings. The proposed study will address a gap in existing literature by examining the multisensory component of generation tasks and extends the current understanding of multisensory learning by incorporating verbal stimuli as the visual component.
Is Limiting Social Media Use Feasible for Young Adults? A 3-Study Replication Failure of a Screen Time Reduction Intervention
Authors: Bradley Abigail , Meloff Zoe , Hasan Syed Jafar , Heaslip Amy , Howard Andrea
Published: February 2024

Concerns about the impact of social media on young adult’s mental health persist, yet empirical evidence remains inconclusive. This three-part replication study aimed to address methodological critiques and intervention effectiveness related to social media’s impact on well-being. Contrary to findings from the original study (Hunt et al., 2018), instructing young adults to limit social media use to 30 minutes a day did not enhance well-being compared to those using it as usual. This study explored nuances of social media engagement (i.e., limiting interactions to real-life acquaintances) and individual differences (i.e., social media persona, app preferences and student status), however, none significantly impacted well-being over three weeks. A key problem was low compliance. Over 85% of participants exceeded daily time limits on social media, calling into question the practicality of social media time limits as a strategy for enhancing well-being.
TECHNOLOGY AND ON SERVICE QUALITY IN THE CLEANING INDUSTRY: A CASE STUDY
Authors: Talib Ameen , Mustakin Abdul Fareed
Published: February 2024

This study focuses on the commercial cleaning industry. This study explores and cross-examines two commercial cleaning companies, one of which is tech-enabled in its service processes and performance while the other, operates traditionally without the use of any service control strategies.

This study adopted a two-pronged approach in examining the implications of technology on service quality in the cleaning industry. A case study methodology was firstly used to explore, discover and cross-examine qualitative insights in the service design of both Company A and Company B. Subsequently, the servqual methodology was applied to provide empirical support on whether the use of technology has a positive effect on service quality.

The results from the servqual method contradicts with the finding of the case study, The servqual method suggests that there may not be a difference in the service quality of a tech-enabled service company and a traditional service company. On the contrary, the case studies revealed implicit variabilities that exist between the service delivery of the two companies.
Factors Affecting Unemployment Rate: The Case of Afghanistan
Authors: Zamani Sayed Mustafa
Published: February 2024

This article aims to analyze the factors that affect the unemployment rate in Afghanistan. The study uses OLS model with time series data from 2005 to 2021 to investigate the effects of macroeconomic factors such as inflation rate, trade balance, GDP, and FDI on unemployment. This article also explores the factors that drive employment in Afghanistan and their potential for decrease. The findings indicate that all factors have a substantial and detrimental influence on unemployment, but that GDP and FDI have more profound impacts and are more crucial for improving employment opportunities in Afghanistan. The result of this study agrees with the theories that suggest that the above-mentioned factors have a huge impact on the rate of unemployment in the case of Afghanistan.
परिवार नियोजनका साधनको ज्ञान तथा प्रयोग
Authors: खत्री लिलाबहादुर
Published: February 2024

परिवार नियोजन मानव जातिका लागि महत्त्वपूर्ण साधनको रूपमा रहेको छ । यसले मानव विकास वा मानव सभ्यतालाई उच्चाइसम्म पुराउन महत्त्वपूर्ण योगदान गर्दछ । यसको प्रयोगबाट व्यक्ति, परिवार, समाज, राष्ट्र र विश्वलाई नै परिवर्तन गरी मानव जीवनमा सकरात्मक परिवर्तन गर्न सकिन्छ । त्यसैले यो अनुसन्धानबाट प्राप्त तथ्याङ्कलाई नेपालका जुनसुकै भुगोलमा पनि सामान्यीकरण गर्ने गरी खोटाङ जिल्लाको दिक्तेल रुपाकोट मझुवागढी नगरपालिकाभित्र अध्ययन गरिएको हो । यो अनुसन्धान परिमाणात्मक ढाँचामा आधारित रही दिक्तेल रुपाकोट मझुवागढी नगरपालिका भित्र सम्भाव्य नमुना छनोट विधि अन्तर्गत चिठ्ठा विधिको माध्यमबाट वडा नं. २, ७, ८, १५ का २०० जना १५ देखि ४९ वर्ष उमेर समूहका विवाहित दम्पतीहरू मध्येबाट १०० जना महिला र १०० जना पुरुषलाई अनुसन्धानको केन्द्रमा राखी प्राथमिक तथा द्वितीयस्रोतलाई समेत प्रयोग गर्दै २०८० सालको  असार महिनामा गरिएको सर्वेक्षणबाट परिवार नियोजन सेवा र परिवार नियोजनका साधनको ज्ञानको दरमा पाँचवटा साधन वा विधिभन्दा बढी जानकारी राख्ने मानिसको सङ्ख्या ५० प्रतिशत, तीनवटा साधनको जानकारी राख्ने मानिसको सङ्ख्या ३५ प्रतिशत, कुनै एक वा सो भन्दा बढी साधनको बारेमा जानकारी राख्ने मानिसको सङ्ख्या १० प्रतिशत रहँदा कुनै पनि साधनको बारेमा जानकारी प्राप्त नगर्ने मानिसको सङ्ख्या ५ प्रतिशत रहेको छ । परिवार नियोजनका साधन प्रयोगकर्ताको दर ९०.५ प्रतिशत रहेको छ । उक्त प्रतिशतमध्ये पुरुष प्रयोगकर्ताको दर २५.५ प्रतिशत रहँदा महिला प्रयोगकर्ताको दर ७४.५ प्रतिशत रहेको छ । परिवार नियोजनका साधनको प्रकृतिको आधारमा विश्लेषण गर्दा ७२.५ प्रतिशतले अस्थायी, २२ प्रतिशतले स्थायी तथा ५.५ प्रतिशत प्रयोगकर्ताले प्राकृतिक विधिहरू अवलम्बन गरेको तथ्याङ्क छ । परिवार नियोजनको स्थायी विधि अवलम्बन गर्ने ६६ प्रतिशत पुरुष रहदा ३४ प्रतिशत महिला रहेका छन् भने अस्थायी विधिमा ८२ प्रतिशत महिला प्रयोगकर्ता हुँदा पुरुष प्रयोगकर्ता १८ प्रतिशत रहेका छन् । यस अनुसन्धानबाट परिवार नियोजनका अस्थायी साधनको प्रयोगदरमा डिपोप्रोभेरा ३५ प्रतिशत, पिल्स २० प्रतिशत, कन्डम १७.६० प्रतिशत, इकोन १२ प्रतिशत, नरप्लान्ट ८ प्रतिशत, कपर्टी ५ प्रतिशत र अन्य विविध विधि अवलम्बन गर्ने प्रयोगकर्ताको दर ३.४० प्रतिशत रहेको छ भने परिवार नियोजनका साधनको प्रयोग पश्चात् स्वास्थ्य समस्या उत्पन्न भएका प्रयोगकर्ताको दर २३ प्रतिशत रहेको र उक्त समस्या मध्ये महिनावारी गडबडी ३५ प्रतिशत, मोटोपनमा वृद्धि ३२ प्रतिशत, टाउको दुख्ने १५ प्रतिशत, एलर्जी हुने ८ प्रतिशत, रिङ्गटा लाग्ने ६ प्रतिशत र अन्य विविध समस्या हुने प्रयोगकर्ताको दर ४ प्रतिशत रहेको निष्कर्ष छ ।
नेपाली राजनीतिमा दलित समावेशीकरण
Authors: रम्तेल परशुराम
Published: February 2024

समावेशीकरण भन्ने विषय आफैंमा वृहत र गतिशील विषय हो । समाज र राज्यमा विगतदेखि नै आर्थिक, राजनीतिक, सामाजिक–सांस्कृतिक, शैक्षिक, मावन स्रोत र साधनको क्षेत्र लगायतका जीवनका सम्पूर्ण पक्षबाट शक्ति र पहुँचबाट वहिष्करणमा पारिँदै आएका वर्ग र समुदायलाई विशेष प्रावधानको विकासद्धारा राज्यको मूल प्रवाहमा ल्याउन विशेष सिद्धान्तको अवलम्बन गर्नु नै समावेशीकरण सिद्धान्त हो । नेपालको राजनीतिमा दलित समुदायको राजनीतिक प्रतिनिधित्व र उपस्थितिलाई विभिन्न कोणबाट हेर्नु उपयुक्त हुन्छ । आजको भूमण्डलीकृत विश्वमा जात व्यवस्थाका कारण दलित समुदायको उपस्थिति हरेक क्षेत्रमा निकै नै कमजोर छ । नेपालको राजनीतिक आन्दोलनको इतिहासमा दलित समुदायले यथेष्ट मात्रामा आफ्नो भूमिका खेल्दै बलिदानको कोटा चुक्ता गर्दै आएका छन् । तर, परिवर्तनपछि राजनीतिक दलभित्र, राज्यसंरचनामा र राजनीतिमा दलित मुद्दाहरु तथा यस समुदायको भौतिक उपस्थिति सधैंव कमजोर रहँदै आयो । दलित समुदाय केही पनि होइनन्, उनीहरुको मुद्दा र प्रतिनिधित्वलाई खासै महत्व दिनुहुँदैन, दलितलाई घृणा, विभेद र अपमान नै गरिरहनु पर्दछ भन्ने परम्परावादी गलत भाष्यले काम गरेको देखिन्छ । यस लेखमा नेपाली राजनीतिमा दलित सहभागिताको अवस्था कस्तो छ ? सहभागिता कमजोर हुनुमा कस्तो प्रवृत्तिहरुले काम गरेको छ ? संवैधानिक र कानूनी व्यवस्था कस्ता छन् र यसको प्रभावकारी कार्यान्वयनमा राज्य र राजनीतिक दलहरुले कस्ता उपायहरुको अवलम्बन गर्नुपर्ला, दलित मुक्तिका लागि सकारात्मक उपायका विशेष व्यवस्था कस्तो हुनुपर्ला आदि बारेमा अध्ययन, अनुसन्धान र विचार विमर्श गर्न खोजिएको छ । नेपाली दलित आन्दोलनलाई नयाँ ढंगले समाजको विकास प्रक्रिया, राज्यका दलित सम्बन्धी प्रावधान र राजनीतिक दलहरुले दलित सम्बन्धी प्रगतिशील नीतिको अवलम्बन गरी दलित मुद्दाप्रतिको सही बुझाईसहित राजनीतिक क्षेत्र र राज्यप्रणालीभित्र दलित समुदायको सहभागितामा वृद्धि गर्दै समानुपातिक सहभागितामा पुर्याउने नीति लिई त्यसको प्रभावकारी कार्यान्वयन गरिनु पर्ने जरुरी देखिन्छ ।
Changes of Family Structure in Nepal
Authors: Rai Dewa Kumar
Published: February 2024

This research article explores the changing family structures in DiktelRupakotMajhuwagadhi Municipality, Khotang, Nepal, driven by various factors such as modernization, globalization, urbanization, and westernization. The study employs a cross-sectional design with a purposive sampling method, gathering data from 1032 respondents who are heads of their respective families, sons, and daughters. The research examines the transition from extended family structures to nuclear families, family authority patterns, healthcare preferences, and economic conditions.The findings indicate a significant shift towards nuclear families, with 70% of families being small nuclear units, and 30% being larger joint family systems. Family authority is increasingly shared between husbands and wives, with both spouses making joint decisions in areas such as expenditure, agricultural work, marriage, and property-related matters.However, the study acknowledges its limitations and recommends further research to understand the underlying reasons behind the observed changes in family structures and decision-making patterns.
Potentialities and Challenges of Project-Based Method in Pedagogy
Authors: Rai Shyam Kumar
Published: February 2024

Project based method is one of the most effective processes in pedagogy. Learning by doing theory is implemented by this method. The prime objectives of this study are to investigate the benefits and challenges of project based method and contribute in pedagogical process through new findings. Its findings will support to teachers to develop theirs professional skills and accordingly it helps to develop the learners’ intellectual as well as social skills. The target populations were selected from school students and campus lecturers for its findings. Purposeful sampling method was administered to select the sample population. Semi structured questionnaire, focused group discussion and observation were administered to collect the data from the respondents. Mixed approach is applied in this study. Previous literatures and present application condition of project method were methodologically analyzed. After its analysis, previous literatures and current application conditions of the project based method were traced similar.
Effective Teaching Mathematics at School Level: A Perspective from Nepal
Authors: Pathak Susmita
Published: February 2024

Mathematical facilitators all across the globe are using fresh approaches and making use of productive results, implementation of research-based methods to teach mathematics in the classroom. A cooperative knowledge-building approach, i.e. Iterative Best Evidence Synthesis Program, is required for classroom instruction. This study gives guidelines for effective educational techniques that promote instructors for varied learners by drawing on results from mathematics, the intuitive notions that have been utilized in the classroom, and recent research investigations. In examining the links between pedagogical practices and a range of social and academic student outcomes, this article draws on the histories, cultures, language, and practices for the Nepali context.
Employees’ Intrinsic Job Satisfaction and Organizational Commitment in Pokhara Metropolitan City
Authors: Budhathoki Dhruba Kumar
Published: February 2024

Intrinsic factors are core inspirable elements to personnel for work harder. While intrinsic factors exist in the workplace employees feel better job satisfaction and motivation. Therefore, the aims of this study are to observe the influence of JS on organizational commitment among commercial banking personnel in Pokhara. The respondents of the study were non-managerial commercial banking staff. Data were collected from 209 (102 males, and 107 females) sample respondents using convenience sampling through self-structured questionnaires. Intrinsic dimensions of JS were employed in this study. Likewise, affective, continuance, and normative commitment were implied dimensions of the study. Different statistical tools namely; average mean, SD, independent sample t-test, one-way ANOVA correlation, and multiple regression were employed. The study found responsibility, as denoted by the intrinsic dimension, was the most powerful predictor of JS and affective commitment was the major factor of OC. However, the result indicated that the normative commitment was least observed. The correlation between predictor variables dimensions of JS, and OC were found to be positive, and significant. The outcomes of the regression showed that the two factors explained. The findings indicated that intrinsic JS leads to the OC of non-managerial banking employees in Pokhara Metropolis.
Unveiling the Dynamics of Service Quality and Member Loyalty: A Comparative Analysis of Different Savings and Credit Cooperatives in Nepal
Authors: Sapkota Keshab Prasad , Poudel Rai Bimala , Bhattarai Prakash C. , Devkota Durga
Published: February 2024

This study explores the level of service quality and member satisfaction within the context of Savings and Credit Cooperatives (SACCOS) in Nepal. By using data from a survey of 1209 randomly selected SACCOS members, the study dealt with the demographic composition, service quality perceptions, and member satisfaction levels across three distinct SACCOS: Bindabasini-Kavrepalanchock, Mahila Milan-Makawanpur, and Siddhartha-Kapilbastu. The analysis uncovers intriguing patterns in demographic characteristics and establishes a positive correlation between service quality dimensions and both member loyalty and positive words of mouth. The findings highlight the crucial role of tailored service quality dimensions in fostering member loyalty, positive advocacy, and overall cooperative success. Findings of this study not only contributes to the understanding of cooperative management strategies but also provides insights for the enhancement of member experiences, leading to sustained growth and impact. Thus, the findings of this study have important implications for cooperatives, researchers, policy makers, cooperative movement, government for devising appropriate intervention to enhance members’ satisfaction levels.
ASSESSMENT OF THE RISK OF LOSS OF STABILITY OF A SLOPE DRIFT IN THE DEVELOPMENT OF STEEP COAL SEAMS
Authors: Hryhorets Maksym , Tkachuk Oleksandr , Kutniy Adjai , Volkov Serhii , Chepiga Daria , Podkopaiev Serhii
Published: February 2024

Purpose. The purpose of the article is to assess the risk of loss of stability of the preparatory mine workings in order to adjust measures to prevent hazards and their consequences in the excavation areas of a coal mine with steep seams..

Method. An integrated approach was used, including: analysis and synthesis of known studies, expert evaluation, application of the basic principles of probability theory, processing, analysis and interpretation of the results.

Results. During the examination of 7 objects (excavation sites), the a priori ranking identified significant factors that affect the loss of stability of preparatory mine workings. Accidental events were considered: the collapse of the roof, the slippage of the sole in the produced space of the coal massif, and the failure of fastening in the roll-back stretch. The ranking results are confirmed by the concordance coefficient (0,9). The analysis of accidents related to the loss of stability of the preparatory workings with different methods of protection allowed establishing the frequency of roof collapses and ground slides in the coal massif at the excavation site. To statistically evaluate the failures of the arch support ω in the working face, field studies were carried out. It was found that in the area of influence of the cleaning operations when protecting the heading with coal blocks, the failure rate of the arch support is ω=0.24, bushes from the racks ω=0,27, and wooden fires ω=0,16. Taking into account the combination of the identified significant factors, the a posteriori probability of loss of stability of the heading in the area of influence of the longwall face in the area of 10 ≤ l ≤ 45 m is 0,036-0,055 m when using coal blocks, 0,044-0,078 bushes from the risers and 0,0176-0,036 wooden fires. The probability of arch support failure is approximately 0,6. On the basis of research, a quantitative assessment of the component risks wa established, which leads to the loss of stability of the rollback stretch. The maximum risk assessment R = 576 corresponds to the conditions when the production is protected by bushes made of wooden risers.

Scientific novelty Assessment of the risk of loss of stability of the preparatory mine workings is a set of research and analytical measures aimed at reducing the manifestation of hazards in the coal massif at the excavation sections of a coal mine.

Practical significance. To obtain qualitative and quantitative estimates of the risk of loss of stability of the preparatory mine workings along the length of the excavation section, a model of formation of a possible dangerous situation was proposed.

Key words: coal mine, preparatory workings, cave-in, side rocks, simulation modelling, miners’ safety.
Effectiveness of blended learning in higher education. Case of Astana IT University.
Authors:   cademy of public administration under the President of the Republic of Kazakhstan, Mazhit Z. , Amanzhol M.R. ,   Astana IT University, Zhumagaliyeva G.Zh. ,   Astana IT University, Smagulova M.M. ,   Astana IT University
Published: February 2024

Globalization and informatization of society are important indicators of the 21st century which influenced people’s lives in all spheres and educational spheres included. The educational system and methods have al-ways been subject to constant change throughout the history of teaching. The most crucial changesstarted to emerge in the past 20 years since the advancement of technologies which made the process of teaching easier, enriched the tools for instructors and gave the opportunity for students to study independently. The traditional format of teaching is now slowly shifting to a more flexible half online mode which is called Blended learn-ing. The study undertaken in framework of this article is aimed at evaluating the student’s English language performance at Astana IT University. The research included 285participants: first-year undergraduate stu-dents between16-18 years old. Study used a paired t-test to identify if there is a statistical difference between before and after incorporating blended learning into the educational process. Analysis revealed that the p-value (0.001) is less than the alpha level (0.05), thus it was concluded that the scores are higher after imple-menting Blended learning in the course; furthermore, it is suggested that this format benefits not only the stu-dents but instructors as well
Peramalan Nilai Tukar Petani di Provinsi Papua Menggunakan Model Hybrid ARIMA-NN
Authors: Kuddi Bobi Frans , Saputro Agung Dwi
Published: February 2024

Nilai Tukar Petani (NTP) merupakan indikator Proxy kesejahteraan petani. Semakin tinggi NTP suatu daerah menandakan bahwa tingkat kesejahteraan daerah tersebut semakin baik. Sebagian penduduk di Provinsi Papua berprofesi sebagai petani hal ini dapat dilihat dari besarnya sumbangan sektor pertanian terhadap Produk Domestik Regional Bruto (PDRB) Provinsi Papua sebesar 9,91%. Untuk meningkatkan kesejahteraan petani di Provinsi Papua maka dibutuhkan pembangunan secara bertahap dan berkelanjutan sebagai upaya untuk meningkatkan hasil produksi pertanian semaksimal mungkin. Untuk itu pemerintah perlu melakukan peramalan NTP untuk mendapatkan gambaran NTP di masa yang akan datang, sehingga dapat dijadikan acuan dalam menentukan kebijakan pada sektor pertanian di Provinsi Papua.Tujuan dari penelitian ini untuk meramalkan Nilai Tukar Petani di Provinsi Papua menggunakan model Hybrid ARIMA-NN. Tahapan yang dilakukan pada penelitian ini diawali dengan mengumpulkan data Nilai Tukar Petani di Provinsi Papua kemudian mengidentifikasi pola data tersebut melalui plot data, setelah mengetahui pola data penjualan mobil tersebut kita melakukan pengolahan data untuk mendapatkan model yang tepat untuk dapat digunakan meramalkan Nilai Tukar Petani di Provinsi Papua pada periode berikutnya menggunakan model Hybrid ARIMA-NN. Luaran yang ditargetkan pada penelitian ini adalah jurnal nasional terakreditasi.
Confección de ropa para caninos “Urcunina wau”
Authors: Ibarra Cantuca Angie Valeria , López Bravo Lisbeth Fernanda
Published: February 2024

El presente plan de negocio se realiza para una empresa dedicada a la producción y confección de ropa para caninos, dado que hoy en día, estos hacen parte de la familia; tanto es así, que no tan solo se opta por comprar mascotas, sino también por adoptar, para brindarles un hogar lleno de amor.
Plan de márquetin digital para la agencia de viajes ‘Más viajes’
Authors: Delgado Rodríguez Raquel Gabriela , Romo Mallama Daniela Alejandra , Casanova Guerrero Ana Lucía
Published: February 2024

Se puede afirmar que las agencias de viajes y turismo tienen un papel importante en la economía y desarrollo del sector turístico del país, asumiendo una característica específica al brindar nuevas vivencias, únicas y agradables, así como al ampliar los conocimientos de cultura para quienes utilizan los diferentes servicios.
Estudio de factibilidad para la creación de la empresa productora y comercializadora de café pergamino
Authors: Valencia Preciado Elmer Andrés , Aguirre López Juan Pablo , Ruiz Muños Yesid Steven , Benavides Pupiales Luis Eduardo
Published: February 2024

El estudio de factibilidad de una productora y comercializadora de café pergamino en el municipio de Buesaco, departamento de Nariño, tiene como propósito, determinar si esta empresa puede ser rentable y en qué condiciones se debe desarrollar para que sea exitosa, analizando todos los factores y beneficios que puede llegar a brindar al municipio de Buesaco y todos sus corregimientos aledaños.
Research on Carbon Emission Prediction of Coal Combustion in Power Generation Enterprises Based on Rough Set and Grey SVM
Authors: Zhao Yong , Zhou Yong , Meng Fanliang , Qiu Huahai
Published: February 2024

In order to reduce the relative error of carbon emission prediction and improve the prediction efficiency, a new prediction method of coal combustion carbon emission of power generation enterprises based on rough set and grey SVM is proposed in this paper. Firstly, according to the rough set theory, the carbon emission data of power generation enterprises are deeply mined to enrich the data sources of carbon emission prediction. Secondly, grey GM model and SVM model are constructed according to the mining results. Finally, combined with the grey GM model and SVM model, the prediction model of coal combustion carbon emission of power generation enterprises is constructed to complete the prediction of carbon emission. The experimental results show that compared with the traditional prediction methods, the prediction relative error of this method is significantly reduced, and the prediction time is significantly reduced.
Syntax Error Detection in English Text Images Based on Sparse Representation
Authors: Chen Xixi
Published: February 2024

In order to solve the problem of poor grammar error detection effect in English text images, a grammar error detection method in English text images based on sparse representation is proposed. The characteristic data of English text images are collected, and the English text image evaluation system is constructed. Combined with the principle design of sparse representation and the grammar error recognition algorithm, it is verified by experiments, the grammar error detection method in English text images based on sparse representation has high practicability and fully meets the research requirements.
Sports Teaching Action Recognition Based on Hybrid CNN-HMM
Authors: Xie Xinying , Ding Dongfeng
Published: February 2024

In order to automatically recognize abnormal actions in physical education teaching in intelligent monitoring system, a CNN and HMM based action recognition model is proposed. In this scheme, the camera and computer are used to capture and measure the target, and the preliminary features of the image acquired from the data are extracted. Then, hybrid CNN-HMM is introduced as the key technology and main method of behavior recognition, and principal component analysis is also used to reduce the dimension of the extracted feature parameters. Finally, the test set is input into the trained classifier for action recognition, which provides an auxiliary reference for teaching actions. The experimental results show that the system can accurately quantify the human movements in sports teaching, and the recognition accuracy of complex databases with different scenes is better than that of similar methods.
Intelligent Facial Expression Generation Method Based on Artificial Intelligence
Authors: Wang Kunlun , Chen Jieru , Bakar Syed Alwi Bin Syed Abu
Published: February 2024

This paper systematically analyzes and summarizes the related technologies of face modeling and expression animation based on artificial intelligence. Integrated with the implementation of graphics rendering engine, the system of face modeling and expression animation is designed and implemented first. Then, this paper adopts FAP and distance attenuation function to calculate the displacement of feature points and non-feature points, and realizes six kinds of basic expression modeling subsystems. With automatic calculation and manual operation, deep learning is used to design cascaded classifiers that extract facial expression feature images from real images and re optimize the 2D face corrected by the 3DMM model. The system of human face animation implementation is provided and it is proved to make further changes and extensions to the defined face model and face animation definition table, which can also meet various objective requirements, and it has the characteristics of smooth rendering and realistic animation effect.
Prediction Model of User Investment Behavior Based on Deep Learning
Authors: Han Jiang
Published: February 2024

In order to achieve more accurate customer positioning and product positioning, this paper uses deep user sequence information and improved LSTM to predict investment behavior. Firstly, according to the sequence data of user investment behavior and the corresponding characteristics of circular network structure, LSTM is selected for investment prediction and analysis. Then, in the actual model construction, the parameters of the classical model are optimized and screened. Combined with the high-dimensional behavioral asset price model, an intelligent identification and prediction method of market trading behavior oriented to the characteristics of stock market is proposed. Finally, the empirical analysis and back test results show that the model can better complete the rise and fall trend in the field of stock index prediction and the possible financial behavior of users, and it has certain applicability and accuracy in multidimensional data analysis.
A Model of Talent Management in Universities Based on Decision Tree and Correlation Analysis
Authors: Wu Lisha , Liu Yanbin
Published: February 2024

Traditional human resource evaluation methods rely too much on people’s subjective judgment and experience. In order to overcome this defect, a talent management model based on decision tree and correlation analysis is proposed. The scheme uses the concept of decision tree, classifier and correlation analysis to preprocess the primary data. Then Apriori association rules and C4.5 algorithm are adopted to complete the combination prediction of the two, which reduces the efficiency of the algorithm to a certain extent when searching for approximate high reliability rules, and makes the improved decision tree algorithm have good scalability. Finally, the model is tested and analyzed through the actual data in human resource management in universities. The results show that the scheme can improve the prediction accuracy of the algorithm and provide a theoretical basis for scientific decision-making of leaders and functional departments.
Intelligent Extraction of Financial Bill Information Based on LeNet
Authors: Cao Rongning
Published: February 2024

To improve the recognition efficiency of financial bills, this paper proposes an improved LeNet algorithm to achieve higher digit recognition performance. We carefully study the characteristics of convolutional neural networks and analyze the defects of existing LeNet for the content recognition of financial bills. Based on the actual needs of financial bill recognition, the number of convolutional kernels in the LeNet sub network are increased to enhance the network’s ability and distinguish different bill images. Then, the improvement of the LeNet network structure is achieved by using a shallow convolutional structure and a better performance Relu activation function. Then, the research and performance verification of the algorithm for bill text detection and recognition are conducted on the actual dataset. The results show that the proposed method can effectively identify printed bills with strong interference in complex environments, with an accuracy of over 96% and a recognition rate of 1.136 s/sheet. Compared with traditional algorithms, the improved LeNet-5 algorithm has been significantly improved in terms of reducing detection time and recognition rate.
Financial Management Performance Evaluation of Universities Based on Comprehensive Weighting K-Means Algorithm
Authors: Shen Yueqian , Sun Yajing
Published: February 2024

To accurately and quantitatively reflect the financial management ability of colleges and universities, a financial management performance evaluation method based on comprehensive weighting k-means algorithm is proposed. Based on the analysis of related concepts, theories and evaluation methods, the performance evaluation index system of financial management in colleges and universities is established. The subjective weight of each attribute is determined by analytic hierarchy process, and the objective weight of each attribute is determined. Then we use the K-means method to calculate the weight of each attribute. The judgment matrix is obtained to test and correct previous results, and the final evaluation level can be acquired. In the case analysis, the actual financial index data of a university is standardized to test the adaptability of the index system to the financial management performance evaluation of higher vocational colleges. The evaluation results show that the clustering accuracy of this algorithm is high, and it can objectively acquire the comprehensive evaluation of the overall budget performance of university financial management, to improve the efficiency of resource use and output benefits of universities.
Artwork Image and Retrieval Strategy Based on Feature Fusion and Neural Network
Authors: Qiu Meigui
Published: February 2024

To improve the ability of 3D reconstruction and classification of works of art, an image recognition and retrieval strategy based on feature fusion technology is proposed. Firstly, the main methods of visual image feature extraction and color feature decomposition are discussed, and their key technologies and applications are analyzed. Then combined with the characteristics of art images, a multi feature fusion method based on color and texture is proposed. Finally, the results are input into the statistical data of the whole work obtained by neural network. The experimental analysis shows that the fusion analysis of art image feature data uses the advantages and disadvantages of different classifiers and complements them, which effectively provides the accuracy and recall of image recognition. Compared with traditional methods, it can suppress noise better and extract more useful edge information.
Statistical Analysis of Influencing Factors of Traffic Accidents Based on Data Mining
Authors: Zhang Yiyang
Published: February 2024

To mine the complex association relationship between the influencing factors of traffic accidents, a scheme of statistical analysis using association data mining method was proposed. Firstly, the traffic accident information elements are subdivided to generate the association rule mining process for accident cause analysis. Then the conceptual model was used to optimize and improve the Apriori algorithm to obtain a new multi-dimensional Apriori model. The star type model was used to complete the model construction of road traffic accident database. Finally, based on the traffic accident data provided by the sample city and Weka, a specific analysis was made in this paper combined with the implementation method and data mining examples. The test results showed that the improved mining algorithm can obtain valuable association rules, to scientifically acquire, store and process safety accident data, and to minimize the frequency of traffic accidents in this field.
Influencing Factors Analysis of College Employment Based on Fuzzy Clustering
Authors: Jing Ying , Wang Jingqiu
Published: February 2024

In order to objectively analyze the factors affecting the employment of college graduates, a target analysis system for college graduates’ employment is established based on fuzzy clustering. Based on empirical analysis, the main indicators and initial weights of factors affecting college students’ employment are sorted and summarized, combined with expert evaluation method. An indicator system is also constructed to evaluate the impact of various factors on students’ employment situation. Then, the concepts of triangular fuzzy number and credibility are introduced into the ordinary judgment matrix, and the specific weight ratio of the average influence intensity is acquired through factor analysis. Finally, based on the fuzzy similarity matrix, the relative importance ranking results of 12 factors affecting the employment quality of college graduates are calculated. The case analysis results indicate that this model can excavate the correlation between student information and employment information, obtain more scientific and reasonable clustering results, effectively identify the main problems affecting college students’ employment, and provide a better basis for formulating policies for authoritative departments.
Optimization design of railroad freight station computer inquiry system based on robot intelligent configuration system
Authors: Zhang Xiaoling
Published: February 2024

In recent years, China’s railroads have been rapidly developed, but to improve the quality of service to customers and the rapid passage of passengers is a major problem facing the railroad operation. It is the era of information development at present, China’s railroad operation has also been unprecedented rapidly developed and has significant achievements. In order to meet the growing demand and improve the level of information technology, the information system platform for railroad freight transportation has been created, because each system is not connected with each other and is independent of each other, thus creating an upgrade of the system. To solve the above-mentioned problems, it is necessary first of all to establish an intelligent freight station inquiry system, which is one of the ways for the customers to experience the convenience directly. In this paper, by understanding and analyzing the inquiry system of freight stations, we address the shortcomings and deficiencies of the system now. Using the development concept of information technology and the general development goals of Chinese railroad passenger and freight stations, the development has been carried out through the two levels of the total structure and performance of the system. Current successful modifications and enhancements of the Chinese train transportation system show promising experimental results. It has been confirmed by these tests that the system demonstrates a high level of stability and dependability while skillfully meeting the intelligent inquiry needs of travelers at railroad freight stations.