bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Utilizing Popular Intelligent Computer Systems in Education
Authors: Ivanova Galina , Ivanov Aleksandar
Published: December 2024

Intelligent computer systems have indeed experienced rapid development in recent years. The penetration of artificial intelligence in almost all spheres will certainly change some professions. In the educational sphere for the use of the artificial intelligence are also required new digital competencies and skills that must be mastered by teachers in order to be successfully used for learning and teaching.
А comparative analysis with various indicators of popular intelligent computing systems are made in the report and the possibilities for their use in the educational process are discussed. The results from study of readiness and attitude to use artificial intelligence systems of professors, teachers, students and doctoral students are presented. The results of the survey, which confirm the need to raise awareness of the possibilities of AI and to conduct more practical training to acquire digital competences and skills to use AI in education, are discussed in the paper.
Conceptual Model of Training in Remote Virtual Supervision in Social Work
Authors: Beloeva Silviya , Venelinova Nataliya
Published: December 2024

The article aims to present a conceptual model of training in remote virtual supervision in social work. This model corresponds to the current trends of digital transformation and has high potential for application in higher education and training specialists in social activities. Тhe authors analyze the opportunities and limitations of digitalization in social work, focusing on the digital adaptation of traditional supervision. They explore the perspective of both synchronous and asynchronous application of virtual supervision, including the need to develop specialized skills for remote, computer-mediated monitoring and advisory support of social workers. The paper comments on specific issues related to digitization such as limited non-verbal cues, privacy, trust issues, and the effects of emotional support in the absence of direct personal connection. The authors suggest educational interventions to overcome these issues.
Exploring the Applicability of Level 1 (L1) Blockchains in E-Learning Systems]
Authors: Minchev Andrian , Stoykova Vanya , Shivacheva Galya , Ivanova Aneliya
Published: December 2024

This paper presents a study on the applicability of blockchain
technology in an e-learning system. The technical characteristics and operational
costs of using blockchain technology were examined and evaluated to select the
appropriate technology for a specific e-learning platform. A comparative analysis of
leading Level 1 (L1) blockchain platforms was conducted, focusing on four main
metrics: average block generation time, transaction cost, transaction finalization
time, and chain throughput measured in transactions per second for each chain. The
objective is to assess and compare key parameters that are crucial when choosing
a specific blockchain for recording information under real-world conditions in
e-learning systems. Methods for analyzing publicly available information were
applied, combined with verification of data compatibility and consistency from
various sources.
Fuzzy-based Support System for Urban Green Infrastructure Management
Authors: Bressane Adriano , Nomura Leonardo Massato Nicácio , Fengler Felipe Hashimoto , Medeiros Líliam César de Castro , Negri Rogério Galante
Published: December 2024

Dealing with the challenges of rapid urban growth while preserving ecological ecosystems and human quality of life is a hard task and a cornerstone of sustainable urban development. This study proposes a Decision Support System (DSS) for the management of Urban Green Infrastructure (UGI). The DSS was developed using fuzzy artificial intelligence to address uncertainties inherent in the integration of geospatial data within the computational environment of a Geographic Information System. The selection of variables and configuration parameters was based on a literature review and expert consultation through the Delphi method. To verify the potential of the DSS, a case study was developed in the Biological Reserve of Serra do Japi. The results indicate that the DSS serves as a promising tool for planners, policymakers, and researchers, capable of supporting data-driven recommendations through case-by-case analyses. Future research could explore the integration of additional indicators, enhance the inference mechanism, and extend the application of the DSS across diverse urban contexts to optimize its versatility and effectiveness in UGI management.
Determination of water retention by the native field of the Pampa Biome with simulated rain
Authors: JAEGER CABRIELI ALINE , SPOHR RENATO BEPPLER , BAUMHARDT EDNER , RONTANI FAGNER AUGUSTO
Published: December 2024

Pampa was one of the most neglected biomes in Brazil, mainly due to its floristic composition distinct from the others. The expansion of agriculture and forestry are often linked to the advancement of negative impacts on the hydrology of this biome. However, there isn't enough information about the hydrological functioning of small basins with native vegetation in Pampa. The objective of this study is to evaluate the applicability of two different methodologies to determine water retention by native vegetation of the Pampa Biome, using a rainfall simulator. The methodology 1 used structured samples of native field vegetation and soil, and methodology 2 used only vegetation samples without the presence of soil; all of which were submitted to the application of simulated rain. With the obtained data, the amount of water that this vegetation retains during rainy events was estimated. Using method 1, we found estimated retention values of 5.4% and 10.9%, 18.6% and 27.8%. However, through method 2 we found estimated retention values of 8.5% and 12.7%. In any case, both methods showed significant values of water retention by this vegetation, being the variations found associated with the methodology itself, or the natural characteristics of each study area.
The Analytical Study of Dispute Resolution Methods in Space Regulations
Authors: Abdullatif Abdullah , Barafi Jamal , Abbas Sheer
Published: December 2024

The space sector has emerged as a lucrative market for both states and private entities, driven by unprecedented technological advancements. Private actors have become significant players in this field; however, their role is not adequately reflected in the existing legal frameworks for resolving disputes under international space law, which remain state-centric. This research addresses the gap by examining the procedures for resolving space-related disputes involving states and private entities. Using descriptive, analytical, and comparative methodologies, the study explores national and international conflict resolution mechanisms in space law. It reviews key agreements and initiatives such as the Outer Space Treaty, the Liability Convention, and Dubai’s Court of Space. The research highlights the advantages and limitations of various dispute resolution methods, including those offered by international law and arbitration forums, with a focus on Dubai’s Court of Space as a new and innovative platform. The study concludes that the rapid expansion of the space sector necessitates the development of inclusive and effective mechanisms for resolving disputes. Current frameworks are inadequate for addressing the complexities of modern space activities, often excluding private entities. Dubai’s Court of Space offers specialized expertise, transparency, and the ability to set global precedents, making it a promising solution for future disputes.
Protected areas and conservation of biodiversity
Authors: Münir Öztürk
Published: December 2024

Conservation of our biodiversity needs protected areas which are included among the largest types of land use allocation. These cover more than 10% of the global land area and nearly 2% of the oceans. Some of these are regarded as sacred places as well as sources for food and other natural resources. Many are now known as spots of recreation and scenery. All these areas have been selected on a scientific basis followed by well-organized management practices. The area of these has increased much lately but we still need to fill the gaps. These are expected to serve humanity by safeguarding nature, particularly our biodiversity. If we succeed in making humans understand the economic and social values of biodiversity and role of protected areas, we may succeed in bringing down the threats not only in the protected areas but also our surrounding environment.
Enhancing grid stability and energy efficiency through optimal integration of photovoltaic distributed generations and DSTATCOMs: case study of Algeria’s power system
Authors: Sadaoui Fares , Hachemi Ahmed Tidjani , Bouhadouza Boubekeur
Published: December 2024

Energy production from fossil fuels contributes to pollution, global warming, and climate change, making the transition to renewable and cleaner energy sources essential. Photovoltaic solar energy, which account for the majority of distributed energy integrated into electrical networks, emerges as a promising alternative. In these systems, Distribution Static Compensators (DSTATCOMs) help manage reactive power and enhance overall network performance. This paper proposes a strategy for the optimal integration of photovoltaic distributed generators (PV-DGs) and DSTATCOMs into electrical distribution networks to increase grid efficiency and resilience. The primary objective is to determine the optimal placement and sizing of PV-DG systems and DSTATCOMs to minimize power losses, improve voltage profiles, and enhance overall network stability. To address this multi-objective problem, the Artificial Rabbit Optimization (ARO) algorithm was used. The approach was validated on the standard IEEE 33-bus distribution network and a real-world 112-bus Algerian network, demonstrating its effectiveness. The results indicate that the ARO algorithm is highly efficient in planning the integration of PV power generation and DSTATCOMs, achieving significant reductions in power losses, improved voltage profiles, and enhanced network stability.
Revitalizing and Upgrading State Mental Hospitals in Uttar Pradesh is Crucial in Today’s Context
Authors: Alok Kumar Shukla  , Navin Kumar Singh  , C P Mall  , Akhilesh Kumar Sharma
Published: December 2024

Mental hospitals have historically played a strong central role in providing mental health services in India. Their journey from asylum to hospitals has come a long way, yet there is a lot to be done as mental hospitals did not evolve as per the demand of the era. The role of mental hospitals is yet limited to the treatment of the insane. Patients are difficult to discharge due to neglect and unwillingness of families. People consider these hospitals as custodial setups for dumping down psychiatric patients. With the modernization of facilities in these hospitals, the scenario can be significantly changed. In order to effectively address the diverse needs of patients, a mental hospital must incorporate a range of specialized units within its premises, including departments dedicated to various domains such as addiction treatment, childhood psychiatric disorders, geriatric psychiatry and rehabilitation facilities. Along with those infrastructural developments such as separate ECT complex, ICU, hemato-biochemical lab and radiology unit will further enhance the efficiency of services in these hospitals.Revitalizing and upgrading mental health institutions is imperative for the times. Upgrading mental health facilities shall help countering the stigma associated with mental health issues.
Case Report: Thalamic Stroke Patient with Neuropsychiatric Symptoms
Authors: Jadhav Ishwari
Published: December 2024

The thalamus is a complex structure acting as a relay for various tracts to convey information and mediate action. The reticular activating system also forms a part of the thalamus and, affects arousal attention and mediates voluntary movement. Thalamic strokes, although rare, constitute 3% of all CNS strokes with a telling symptom of excessive daytime somnolence and impaired arousal.
Perceived Stress and Quality of Sleep in Patients on Hemodialysis
Authors: Kodali Madhavi , Benerji Therissa , Vetapalem Rashmitha , Bandi Varun Kumar , Parvathaneni Krishna Mohan
Published: December 2024

Background: Chronic kidney disease remains a prevalent global health concern, necessitating effective renal replacement therapies such as hemodialysis for end-stage renal disease (ESRD) patients. Beyond the physiological challenges, these patients often grapple with profound psychosocial burdens, particularly concerning stress perception and sleep disturbances. In recent years, the intricate relationship between perceived stress and sleep quality among patients undergoing hemodialysis has garnered substantial attention within the medical community.Methods: About 38 participants above 18 years of age with end-stage renal disease on maintenance hemodialysis of ≥3 months, undergoing hemodialysis at least two times a week, were taken as subjects for the study. The perceived stress scale, Pittsburgh sleep quality index, and insomnia severity index were used to assess perceived stress, quality of sleep, and insomnia, respectively.Results: Among the participants, 60.5% reported high perceived stress, while 34.2% had moderate stress. Approximately half of the study sample suffered clinically significant insomnia of moderate severity. A significant association was observed between perceived stress and insomnia ((p = 0.04), poor sleep quality, and clinically severe insomnia (p = 0.0001) in our sample of patients on hemodialysis.Conclusion: Our results highlighted the complex interplay between stress, sleep quality, and insomnia among hemodialysis patients emphasizing the need to focus on a more comprehensive assessment while exploring interventions to enhance the overall well-being and quality of life for this specific patient population.
Psychiatric Comorbidity Among Dermatology Patients: A Study at a Tertiary Care Hospital in Khammam, Telangana, South India
Authors: Md Adil Faizan  , Krishnarao Bikkasani U.P. Lakshmi , Shaik Naseema  , Kandhi Sri Divya Reddy , Macharapu Raghuram
Published: December 2024

Background: The intersection between dermatology and psychiatry has gained increasing recognition due to the complex relationship between dermatological conditions and psychiatric comorbidities. Despite growing recognition, comprehensive studies exploring the prevalence, clinical characteristics, and management outcomes of dermatology patients with psychiatric comorbidities remain limited.Methods: A total of 416 patients with various dermatological disorders participated in the study. Socio-demographic information and comprehensive dermatological evaluations were recorded, followed by screening for depression, anxiety, and stress disorders using the DASS-21 scale.Results: The study revealed a notable prevalence of psychiatric disorders among dermatology patients, with approximately a quarter exhibiting symptoms of depression and around one-third reporting symptoms of anxiety. Stress was also prevalent among a significant subset of patients. Correlation analysis highlighted associations between psychiatric symptoms and demographic factors such as gender, socioeconomic status, and family type.Conclusion: These findings underscore the necessity of adopting a biopsychosocial approach in the management of dermatological disorders, emphasizing the importance of routine screening for psychiatric comorbidities and integrated care models involving collaboration between dermatologists and mental health professionals.
Wie is er eigenlijk 'present'?
Authors: Gärtner Stefan
Published: December 2024

Met een interpretatie van de parabel van Jezus in Mattheüs 25,31-45 wordt in dit artikel de presentiebenadering onderzocht en verfijnd, gevoed vanuit de christelijke spiritualiteit. De betreffende perikoop laat zich behalve eschatologisch tevens lezen als een diaconaal programma. Daarbij gaat het niet alleen om het volgen van Jezus, maar vooral ook om het bezoeken van én bezocht worden door Christus. Dat leidt tot vier inzichten voor het werk van met name straatpastores, om vervolgens te concluderen wie er nu eigenlijk ‘present’ is.
Schengen Area and Mass Migrations: The End of a Dream?
Authors: Staničić Frane
Published: December 2024

The idea of Schengen as a vast area without (inner) borders has been active since
1984. For a long time, the idea of a “borderless Europe” thrived because external
borders of the Schengen area were adequately protected. However, after 2005, when
it was said that Schengen had come to epitomise freedom, security, and European
success, the first cracks in the mutual trust among the Member States began appearing
and became obvious in 2011 during the French-Italian row when France introduced
border controls with Italy. The migrant crisis in 2015 with the reintroduction of
numerous (and long lasting) inner border controls showed how the Schengen area
is in reality fragile. This chapter deals with the current situation in the Schengen
area and tries to show whether Schengen can survive as an undisputedly important
achievement in the process of Europeanisation. However, while coping with the
shortcomings of Schengen and establishing stronger and more efficient controls on
the external border, protection of individual human rights must not be neglected.
The Practices of the Council of Europe and the European Court of Human Rights From a Central European Perspective Regarding Questions on Migration
Authors: Fábián Gyula
Published: December 2024

Over the past decade, Europe and particularly the European Union annually receive several migrants owing to the failure to respect the principle of the ‘first safe state’ according to public international law, and a lack of effective measures to address the causes of migration. In this context, the Council of Europe, as a classical, non-supranational international cooperation organisation was unable to regulate migration policies, although it aims to protect human rights on the European continent. This was largely owing to the members’ reluctance regarding asylum regulations and the ‘soft law’ initiatives adopted by its institutions. It was not until the migration phenomenon caught the attention of the ECHR in 1999 that the situation began to change. The ECHR relies on the ECHR to prevent member states from returning or expelling aliens who have entered their territory illegally, replacing the lack of anchoring of the right of asylum in positive law with the impossibility of removing people who do not fulfil the criteria for refugee status owing to substantive or procedural loopholes. In the absence of a pan-European lex specialis on migration, the ECHR is forcing a lex generalis to oblige some 600 million Europeans to host several billion people who seek a better future in Europe, often overlooking the principle of ‘safe first country’ for those who are genuinely persecuted within the meaning of the 1951 Geneva Convention relating to the Status of Refugees. This study reviews the powers, instruments, and means available to the Council of Europe in relation to the member states of the Council of Europe with respect to migration, dealing with the problem of the imposition of the ECHR by the ECHR as lex generalis in the absence of lex specialis, particularly in relation to Eastern and Central European countries. Although they have no colonial past laden with ‘moral debts’ and are not the priority target of migration, they are unjustifiably and sometimes excessively ‘condemned’ by the ECHR.
The Concept of Safe Third Country with Special Regard to the Greek Safe Third Country Declaration
Authors: Đukić Dalibor
Published: December 2024

This study explores the “safe third country” (STC) concept as outlined in the Dublin III Regulation of the European Union, focusing specifically on the Greek list of designated STCs. The concept of STC is viewed as a strategic tool used by developed countries to address challenges such as “asylum shopping” and “orbit” situations. However, there are significant concerns about its compliance with international law, especially the 1951 Refugee Convention. In 2021, Greece issued a Joint Ministerial Decision designating Türkiye as an STC for certain nationals. This designation was later expanded to include Albania and northern Macedonia. Despite criticism, the Greek authorities continued to implement their decisions, resulting in many applications being deemed inadmissible and applicants being ordered to return to Türkiye, even though such readmissions have been suspended since 2020. The Greek Council of States affirmed that designating Türkiye as a STC met the requirements of the Revised Asylum Procedures Directive. To be considered an STC, countries should typically have stable political environments, effective legal systems, respect for human rights, and established asylum procedures. However, the present study highlights how the interpretation of STC rules varies significantly. The effectiveness of the STC principle hinges on the provision of effective protections for asylum seekers. Although the standard for effective protection may be ambiguous, if used effectively, the STC concept can enhance the efficiency of asylum procedures without compromising the rights of asylum seekers’ rights. The STC concept has the potential to improve the asylum process by reducing irregular migration and deterring human trafficking and smuggling. Nonetheless, a merit-based evaluation of individual applications, including asylum seeker’s circumstances and conditions in designated STC, remains crucial.
Asset-Light Model, Supply Chain Resilience, and Corporate Performance An Empirical Study Based on Chinas A-Share Listed Companies
Authors: Huang Xiangyu , Deng Jinhao
Published: December 2024

The emergence of the asset-light operational model provides a new direction for corporate transformation, enabling companies to improve market adaptability and overall operational flexibility by controlling the input of fixed and other heavy assets. This model has garnered considerable attention from enterprises; however, research on the impact and transmission mechanisms of this model on corporate development remains insufficient. In light of this, this paper uses A-share listed companies in China from 2012 to 2022 as the sample and empirically examines the impact of the asset-light operational model on corporate performance, while identifying the transmission mechanism through the lens of supply chain resilience. The study finds a significant positive correlation between the asset-light model and corporate performance. The mechanism test shows that the asset-light model promotes corporate performance growth by enhancing supply chain resilience, establishing a deduction pathway where the asset-light model drives corporate performance improvement. This paper enriches the research on the impact mechanisms of the asset-light model on corporate performance from a new perspective and provides a fresh direction for enterprises to improve performance through transformation in asset operation models.
Auditory Regression and New Soundscapes: The Digital Intimacies of ASMR
Authors: Huang Yiyi
Published: December 2024

In recent years, ASMR has emerged as a distinct sensory phenomenon, garnering attention from both academic and lay audiences. ASMR videos, distinguished by their unique auditory and visual elements, elicit a sense of pleasure and relaxation in viewers, and have amassed a significant global following. This paper explores the decline of visual hegemony and the rise of Autonomous Sensory Meridian Response (ASMR) in the context of the renewed interest in hearing, with the discussion centered around four key aspects, namely the role of ASMR as a trigger for digital intimacy, the foundation upon which it is constructed, the relationship between the creators and consumers of ASMR, and the unique connection between these two groups. In addition, the unique context of shared experiences and interactions in ASMR is explored in depth, emphasizing the interplay between human emotions, perceptions, and digital media technologies in audiovisual communication. New modes of sound propagation in evolving spatiotemporal landscapes are analyzed, providing insights into the construction of novel soundscapes for ASMR in the digital age. Through its emotional and spatial properties, ASMR has become a cross-modal sensory experience that explores new possibilities for interactive experiences in audiovisual media by incorporating richer perceptual systems and triggering mechanisms into the future of media pervasive perception. As a result, bloggers and audiences grow together and support each other in a digital intimacy typified by directionality, emotional imbalance, and high returns due to its potentially large realizable value.
Long-term Care Insurance Policy Implementation in the Context of Aging: Theoretical Framework and Practical Paths Take the First Batch of Pilot Cities in China as an Example
Authors: Cai Jieyu
Published: December 2024

Under the background of aging and childlessness, the number of disabled elderly people in China continues to rise and the introduction of long-term care insurance (LTCI) has provided significant relief to many disabled elderly individuals and their families, effectively alleviating the pressure of taking care of the elderly. As the pilot program expands across China, the current status of policy implementation in the first batch of pilot cities needs to be summarized in order to facilitate further policy improvement. This paper embraces the theoretical framework of policy implementation, dividing the process into three distinct yet interconnected stages: preparation stage, implementation stage, and summarization stage. This paper analyzes the current situation of policy implementation and typical practices in the first batch of pilot cities. The study summarizes innovations and shortcomings in areas such as policy promotion, service provision, benefit distribution, and performance evaluation, and offers policy recommendations, including improving policy promotion, expanding funding channels, and establishing evaluation systems.
A Study on the Impact of Corporate ESG Ratings on Employment Output from the Configurational Perspective
Authors: Cheng Menghan , Li Tianyu
Published: December 2024

Strengthening information disclosure through Environmental, Social, and Governance (ESG) practices has been confirmed by both academia and the business world to guide companies in fulfilling their social responsibilities and promoting the prosperity of the labor market. However, previous literature lacks studies on the output pathways and efficiency of corporate ESG ratings. Therefore, this paper takes A-share listed companies in the Shanghai and Shenzhen stock markets from 2009 to 2022 as the research sample. By employing the fuzzy-set qualitative comparative analysis (fsQCA) and Data Envelopment Analysis (DEA) methods, this study verifies the employment output pathways and efficiency of ESG. The analysis focuses on how ESG ratings affect the employment output efficiency of companies in different industries and of different types. The findings indicate that corporate size, wage levels, and ESG ratings can all independently serve as core conditions for employment levels. However, the employment output efficiency of ESG ratings is significantly lower than that of corporate size and wage levels. Moreover, state-owned enterprises exhibit a higher proportion of decreasing returns to scale, with varying returns to scale observed across industries.
How Does Green Finance Exert an Influence on the Sustainable Development of Green Enterprises - With Tesla as a Case in Point
Authors: Qu Chenxi
Published: December 2024

Since the formal implementation of the Paris Agreement in 2016, countries have begun to develop and promote "green industries" in order to achieve its goal of alleviating global warming and reducing the rate of temperature rise before the end of this century. As a result, many "green enterprises" have emerged and are thriving in the global market. This paper explores how green finance strategies adopted by these companies can help them grow sustainably. The study adopts a case analysis method, taking the American automobile company Tesla as a typical example. By analyzing and comparing data from Teslas 2023 Impact Report and reports from industry competitors, this thesis finds that specific green finance strategies enable green enterprises to achieve sustainability by protecting the environment and enhancing social impact while reducing their costs in the meantime. Additionally, it points out existing problems within most green enterprises in today's market and provides possible solutions for these issues.
EcoCast: Multi-Task Global Temperature Forecasting via Autoregressive Transformers
Authors: Han Yang
Published: December 2024

Rapid changes in global temperatures and greenhouse gas emissions make accurate forecasting critically essential to saving peoples lives from natural disasters. The urgency of advanced predictive models in environmental science cannot be emphasized more by the vital need for adaptation and mitigation efforts. This study uses a customized transformer-based model, exploring its effectiveness and efficiency in forecasting environmental factors in the format of time series data. This project compares single-shot and autoregressive models in single-task and multi-task learning processes using the NOAAGlobalTemp Dataset by the National Centers for Environmental Information and the CO2 Emissions Dataset curated by Our World in Data. The results show that autoregressive models significantly outperform single-shot models via iterative prediction. In addition, multi-task learning further improves prediction accuracy and reliability by capturing the correlation and causality between global temperature anomalies and greenhouse gas emissions. Compared to a baseline model, the models superiority is evident. This research explored the optimal transformer-based model architecture for multi-task environmental forecasting, which provides a benchmark for future research in the community. Furthermore, this projects outcome (the model) will be deployed publicly as a web application for users to access.
The Integration of Artificial Intelligence in Public Policy Decision Support Systems: Applications and Challenges
Authors: Zhang Xinyu
Published: December 2024

Incorporating AI into public policy has the potential to change how decisions are made, whether in the fields of public health, resource management, or social welfare. This article examines the use of AI in DSS, a public policy decision support system, its benefits and disadvantages, as well as the ethics and privacy implications. By analyzing health, welfare and urban planning case studies, this report examines the efficacy of AI on measures such as precision, effectiveness, equity and engagement. In addition, the work deals with key obstacles to AI integration, such as infrastructure constraints, biases and public mistrust, that affect its acceptability and utility. This research suggests that, while AI has significant benefits, its responsible application to public policy requires a carefully calibrated strategy with an emphasis on ethical transparency, transparency and safe data collection in order to ensure public confidence and equitable results.
Prediction of Building Energy Consumption Based on LSTM-SVR-Random Forest Hybrid Model
Authors: Du Zijun
Published: December 2024

Accurate building energy prediction can help effectively allocate and utilize energy resources, reducing waste. The dataset used in this study contains data from 539 buildings and includes 12 variables. This study proposes a hybrid model of Support Vector Regression (SVR) and Long Short-Term Memory (LSTM) based on random forest optimization. The model combines the accuracy of SVR with the time series modeling ability of LSTM, which significantly improves the prediction accuracy of building energy consumption. Through an in-depth analysis of historical energy consumption data, this paper identifies key factors influencing energy use and employs the random forest algorithm for feature selection and model optimization. The experimental results show that the accuracy of the LSTM single model is approximately 54%, while the accuracy of the SVR single model is 15%. The hybrid model achieves an accuracy rate of more than 90% on both the training set and the test set, which shows that the SVR-LSTM hybrid model using Random Forest can effectively improve the prediction performance. This research provides important theoretical foundations and practical guidance for energy-efficient building design and smart energy management, while also offering data support for future policy-making, demonstrating broad application prospects.
Machine Learning Models in Quantitative Investment
Authors: Zhu Tianyi
Published: December 2024

This paper explores the application of machine learning models in the realm of quantitative investment, emphasizing their potential to enhance decision-making processes and predictive accuracy in financial markets. Beginning with an overview of machine learning typessupervised, unsupervised, and semi-supervisedthe paper delves into specific models commonly employed in investment strategies. These include supervised models such as Random Forests and Support Vector Machines, as well as unsupervised models like K-Means Clustering and Bayesian Networks. The practical applications and advantages of each model are discussed, with a focus on how they contribute to portfolio management, risk assessment, and the identification of profitable trading opportunities. While highlighting the transformative power of machine learning, the paper also acknowledges the inherent challenges, such as data quality and model interpretability, which practitioners must navigate. By examining the benefits and limitations of these technologies, this paper provides a comprehensive understanding of how machine learning can be effectively integrated into quantitative investment practices and offers insights into future research directions.
Research and Application Analysis of Reinforcement Learning Algorithms
Authors: Dou Xiamo , Zhou Rundong
Published: December 2024

With the continuous development of the times, there have been many significant breakthroughs in the field of reinforcement learning, not only reflected in the improvement of operational efficiency, but also in the emergence of new methods, all of which contribute to the continuous concretization of reinforcement learning in reality. This article mainly introduces the current research status of reinforcement learning, the introduction of common basic reinforcement learning algorithms such as value function estimation, policy gradient method, and Actor Critic algorithm. In recent years, a review of transfer learning, width planning and active learning based methods Olive, Reptile algorithm, evolutionary strategy (ES), two self play training schemes (Chainer and Pool), and the application analysis of reinforcement learning in the fields of gaming, robot control, transportation, healthcare, finance, and energy is conducted. This article aims to provide a review of the current research status in recent years, in order to provide a reference for the future development of reinforcement learning and indicate the existing problems in current research.
A CNN-Ensemble-Based Neural Network for Enhanced Classification of Single-Cell Bone Marrow Mononuclear Cell Types
Authors: Shi Claire
Published: December 2024

Single-cell RNA sequencing (scRNA-seq) offers an exceptional opportunity to uncover the mechanisms underlying complex diseases, such as cancer, at cellular resolution across diverse tissues. However, despite its potential, scRNA-seq faces considerable challenges, particularly in the accurate annotation of cell types due to inherent sequencing noise and the sparsity of gene expression data. To address these limitations, we have developed an advanced ensemble learning-based convolutional neural network (CNN) model specifically designed for the analysis of large-scale scRNA-seq data. Importantly, in a case study, we applied this model to classify subpopulations of bone marrow mononuclear cells using RNA transcript raw read counts from a dataset comprising 10032 samples of cells, 13822 genes, and 14 distinct cell types. Specifically, we conducted a comparative analysis of our model against other deep learning architectures, including MLP, LSTM, Attention mechanisms, as well as their ensemble models. Our results demonstrate that the CNN-based ensemble models consistently outperformed other networks, achieving optimal performance with a precision of 0.9143, an F1 score of 0.9143, and an accuracy of 0.9143, which represent significant improvements over the competing models. Moreover, visualization of the classification results using Umap highlights our model's capability in distinguishing cell types at cellular resolution. In conclusion, our CNN-based ensemble model not only demonstrates high efficacy in classifying bone marrow mononuclear cell types but also contributes a good approach to predictive modeling in the single-cell data analysis field.
Layanan Administrasi Kesiswaan di SMP Negeri 55 Palembang
Authors: Annur Saipul , Sari Delia Permata , Ibrahim Ibrahim , Maulana Dian
Published: December 2024

This study aims to analyze student administration services at SMP Negeri 55 Palembang, covering service processes, as well as supporting and inhibiting factors. The research employs a descriptive qualitative method with interviews, observations, and documentation. Informants include key and supporting participants, totaling 20 individuals. Key informants consist of the head of administration, administrative staff, and students. Supporting informants include vice principals, teachers, and parents. The data analysis techniques used include data reduction, data presentation, data verification, and conclusion drawing. Data validity was tested using source triangulation, technique triangulation, and time triangulation. The findings indicate that student administration services have been running effectively, supported by a digital system that minimizes errors in the administrative process. Administrative staff exhibit reliability, active responsiveness, and a high level of empathy in assisting students, parents, and teachers requiring help
Implementation of Performance Appraisal for Islamic Bank in Indonesia Using CAMELS Method
Authors: Sodiq Ahmad , Ratnasari Ririn Tri , Mawardi Imron , Pitchay Anwar Allah
Published: December 2024

The assessment of Islamic bank performance measured by the CAMELS method through the 2016-2020 CAR analysis as of January shows that the performance of Islamic commercial banks from year to year shows an increase in the management of Islamic bank management. Where it can be seen that in 2016 to 2020 as of January Islamic commercial banks showed a very healthy condition because they were in the CAR position> 11%. ROA, is used to measure the health of the bank from the income aspect by comparing the net profit achieved with the total assets owned by the bank. The condition of the NPF of Islamic Banks is very healthy as indicated by the small number of bad debts and problematic financing by customers at Islamic banks. Meanwhile, the condition of the LDR of Islamic Banks fluctuates where in 2016 the LDR was in an unhealthy predicate of 85.99%, and in 2017 to January 2020 it was in a very healthy condition because it was in a position of more than 100%. BOPO of Islamic general banks showed unhealthy conditions in 2016, then experienced a significant increase in 2017 in healthy conditions and in 2018 until January 2020 in very healthy conditions.
Determinant Models of Sharia Financial Literacy Muslim Students in Indonesia: A Multidimensional Approach
Authors: Sihotang Mutiah Khaira , Hasanah Uswah , Hayati Isra
Published: December 2024

The Sharia financial institutions in Indonesia, especially the city of Medan, are growing and continuing to compete with the existing conventional finance institutions. This should be combined with public knowledge of the sharia financial institutions. Therefore, there is a need for education toward the financial literature of sharia for the whole layer of society, from parents to children. This research aims to find out the determination factor of the financial literature of sharia in muslim  students in indonesia. The dependent variables used in this study are parent income, student learning achievements, information and religious sources with sharia financial literacy as independent variables. Sampling in this study uses purposive sampling. The population in this study was the muslim students who were in the Medan city, Indonesia. The study used a quantitative approach where primary data was obtained through the dissemination of the questionnaire, with the total sample of 180 people. The study was tested for validity and reliability. The data is then analyzed with double regression. All phases of testing and data analysis are carried out with the help of SPSS. The results of this study stated that the variable learning performance and information sources have a significant influence on the financial literacy of muslim students in the city of Medan, Indonesia. Income and religious variables do not affect student financial literacy. This is seen from the t-test with a significance value > 0.05.
Developing an Integrated Innovation Ecosystem to Strengthen Islamic Economy in Indonesia
Authors: Sugeng Santoso  , Ginanjar Dewandaru  , Nugroho Lucky , Hidayat Sutan Emir , Salmi Mohd Isa  , Hidayat R Nur , Muhammad Ramadhani Marfatah
Published: December 2024

This research attempts to develop an integrated innovation ecosystem of Islamic economy, which focuses on vocational education and training. We integrate the vocational education and training into the supply-demand-linkage of innovation ecosystem, within the key sectors of Islamic economy. We also refer to the underlying regulation which is the President Decree No. 68 Year 2022 about Revitalization of Vocational Education and Training. The sample of observations is the relevant stakeholders in the Province of East Java, that include industry players, government, and vocational education institutions. The key sectors of Islamic economy include the industry of halal processed F&B and pharmaceuticals, halal agriculture and fishery, as well as Muslim-friendly tourism and Islamic creative economy, which are selected based on their percentage of contribution to the overall regional GDP. We use both quantitative and qualitative approach, by deriving data and information from Focus Group Discussions (FGD) and questionnaires. Whereby, qualitative approach is used by conducting in-depth discussions and interviews with relevant stakeholders. The findings of this study show the strength and weakness for each of the supply-demand-linkage model, suggesting the policy direction in order to improve the productivity factors of human resources.
Segmenting, Targeting, and Positioning Analysis of Platinum iB KPR Purchase Decisions with Murabahah Agreement
Authors: Wikantari Maria Assumpta , Judijanto Loso , Syamsuri Helmy , Dhamayanti Sylvia Kartika , Supriadi Yudi Nur
Published: December 2024

The increasing competition demands competitive advantage that should be owned by each company and requires a proper marketing strategy. The number of competitors is increasingly making consumers have many alternative options to get a product that is in accordance with expectations. BTN syariah is consistent in its core business namely housing finance in accordance with the visit of Bank BTN itself which is the leading bank in financing with mortgage products or residential financing. This purpose of this study aims to analyze and examine the factors of segmenting, targeting and positioning aspect on consumer purchase decisions of iB Platinum KPR product with murabahah contracts at BTN Syariah Mataram Branch Office. The research used the quantitative with regression analysis method. The sampling method used purposive sampling and the number of samples used in this study amounted to 55 respondents source was distribution online questionnaires via WhatsApp to Customers of BTN Syariah who had purchased KPR Platinum iB with murabahah contract. The data were analysed used IBM SPSS version 22 and analysis was carried out by several tests such as validity test, realibility test, classic assumption test, linear regression analysis and coefficient of determination test. The results of this study indicate that the segmenting, targeting and positioning, has a significant effect on purchase decisions of iB Platinum KPR product with murabahah contracts at BTN Syariah Mataram Branch Office. The findings of this study can be reference uses as a reference for future researchers  who will study similar problems. This research can also be a reference for companies to always be able to maintain aspects of segmenting, targeting and positioning aspect in designing and determining effective and efficient markering policies.
Sosialisasi Perilaku Hidup Bersih dan Sehat (PHBS) dalam Upaya Pencegahan Stunting di Sekolah Dasar Negeri 1 Lagadar
Authors: Abdurachman Bagas , Al-Majhar Faadz Haqqi , Fitrian Rizki
Published: December 2024

Stunting adalah masalah serius pertumbuhan dan perkembangan anak yang memiliki dampak jangka panjang yang merugikan. Artikel ini membahas penyebab, dampak, dan upaya pencegahan stunting di Indonesia, khususnya di lingkungan Sekolah Dasar Negeri 1 Lagadar, Kabupaten Bandung. Stunting disebabkan oleh asupan gizi yang tidak mencukupi dan faktor-faktor sosial ekonomi. Tingginya prevalensi stunting di Indonesia mengakibatkan masalah kesehatan dan kecerdasan anak yang berkepanjangan. Penulis menjelaskan metode sosialisasi Perilaku Hidup Bersih dan Sehat (PHBS) sebagai upaya pencegahan stunting di sekolah. Sosialisasi melibatkan ceramah interaktif, praktik mencuci tangan, dan edukasi tentang makanan bergizi. Hasil evaluasi menunjukkan peningkatan pemahaman siswa tentang stunting dan PHBS. Selain itu, siswa juga dapat mempraktikkan mencuci tangan dengan benar sesuai panduan WHO. Dengan demikian, kegiatan sosialisasi ini diharapkan dapat membantu mengubah perilaku siswa dalam menerapkan PHBS untuk mencegah stunting. Pemahaman yang meningkat dan perubahan perilaku yang positif diharapkan akan membantu mengurangi prevalensi stunting di Indonesia.
Labu Siam Revolusioner: Kreativitas dan Inovasi dalam Pengembangan Produk Berbasis Labu
Authors: Fallonne Anitia Emalia , Iskandar Shantyalaila Noor , Adiana Fari Rafi , Shahida Nabila Nur , Aningrum Risma Hadisti , Karima Nurul , Hanif
Published: December 2024

Studi ini mengeksplorasi kekayaan nutrisi tanaman labu siam, menekankan potensi manfaat kesehatannya. Penelitian ini melampaui cara konsumsi tradisional, mahasiswa Universitas Muhammadiyah Purwokerto berinovasi dengan mengolah labu siam menjadi permen asam manis. Metode yang digunakan dalam penelitian ini adalah metode eksperimental yang menekankan pada proses uji coba di lapangan. Dalam prosesnya, labu siam dengan sajian yang penuh warna dan menarik ini bertujuan untuk meningkatkan minat anak-anak dalam mengonsumsi sayur-sayuran. Hasilnya, inovasi olahan labu siam dengan pengolahan sebagaimana dimaksud dapat menjadi rujukan produk pangan potensial sehingga turut meningkatkan nilai pasar dan branding labu siam khususnya di Desa Maron Wonosobo.