bluuebunny/crossref_metadata_2025 huggingface dataset:
DILEMA DEMOKRASI: KOTAK KOSONG DAN UPAYA PENINGKATAN PARTISIPASI POLITIK DI TINGKAT LOKAL
Authors: Aura Anisah  , Salma Elsa Anindya  , Rena Putri Nirwana  , Tesalonika Amazia Simamora  , Irsyaf Marsal
Published: January 2025

Fenomena "kotak kosong" dalam pemilihan kepala daerah (Pilkada) di Indonesia mencerminkan tantangan serius dalam sistem demokrasi yang ada. Dalam konteks ini, tingginya angka calon tunggal menunjukkan krisis kepemimpinan dan lemahnya fungsi partai politik dalam menyediakan alternatif pemimpin yang berkualitas. Penelitian ini bertujuan untuk menganalisis dampak dari fenomena kotak kosong terhadap sistem politik Indonesia serta mengeksplorasi peran pemerintah dalam mengatasi masalah ini. Metode yang digunakan adalah kajian kepustakaan dengan pendekatan kualitatif, menelusuri berbagai literatur yang membahas calon tunggal dan dampaknya. Hasil penelitian menunjukkan bahwa kotak kosong merupakan gejala dari masalah yang lebih dalam sistem politik, yaitu lemahnya kompetisi politik, rendahnya kepercayaan masyarakat terhadap partai politik, dan dominasi oligarki. Penelitian ini juga mengkaji berbagai upaya yang telah dilakukan pemerintah untuk mengatasi masalah ini, serta memberikan rekomendasi kebijakan yang lebih komprehensif.
KEDUDUKAN PUTUSAN MA NO 23P/HUM/2024 SETELAH DIKELUARKANNYA PUTUSAN MK NO 70/PUU-XXII/2024
Authors: Annisa Fitratul Jannah  , Dynna Fatricia Eka Putri  , Fiky Riyan Ramadhan  , Muhammad Yophan Pratama  , Rahma Fitry
Published: January 2025

Kekuasaan kehakiman di Indonesia tidak terlepas dari UUD 1945 sebagai konstitusi tertinggi yang mengatur sistem ketatanegaraan. Kekuasaan kehakiman merupakan bagian dari sistem konstitusional yang meliputi peraturan, susunan, dan kedudukan lembaga-lembaga negara, serta tugas dan wewenangnya. UUD 1945 menempatkan kekuasaan kehakiman dalam sistem ketatanegaraan, yang mencakup Mahkamah Konstitusi (MK), Mahkamah Agung (MA), dan Komisi Yudisial sebagai lembaga yudikatif utama. Baru-baru ini, terdapat dua putusan penting yang dikeluarkan oleh MA dan MK terkait syarat usia calon kepala daerah. Putusan MA Nomor 23 P/HUM/2024 pada 29 Mei 2024, yang diajukan oleh Ahmad Ridha, Ketua Umum Partai Garda Perubahan Indonesia, menyatakan bahwa usia calon kepala daerah dihitung pada saat pelantikan. Untuk gubernur dan wakil gubernur, usia minimal adalah 30 tahun, sedangkan bupati, wakil bupati, walikota, dan wakil walikota minimal 25 tahun. Namun, MK mengeluarkan putusan yang berbeda, menyatakan bahwa usia pencalonan dihitung saat pendaftaran, bukan pelantikan. Perbedaan ini memunculkan pertanyaan terkait putusan mana yang seharusnya diikuti. Hal ini menunjukkan pentingnya kejelasan dalam koordinasi antara lembaga negara untuk memastikan aturan yang konsisten dan sesuai dengan sistem hukum Indonesia.
MISI KETUHANAN YANG TERKANDUNG DALAM EKONOMI ISLAM DI INDONESIA
Authors: Irtifa Umi Azizah  , Rifa Nur Alifah  , Binti Nur Asiyah  , Mashudi
Published: January 2025

Ekonomi Islam adalah sistem ekonomi yang semua aktivitasnya dilakukan sesuai dengan prinsip, atauran dan nilai-nilai Islam. Dalam perekonomian Islam, tidak hanya mengatur hubungan antar manusia tetapi hubungan manusia dengan tuhan. Sehingga kita bisa melihat bahwa kegiatan ekonomi Islam tidak bisa terlepas dari nilai ketuhanan. Dengan negara mayoritas muslim dalam pengembangan ekonomi Islam Indonesia sendiri masih dihadapkan dengan bebereapa tantangan dan permasalahan yang harus di selesaikan secara efektif. Seperti, faktanya masih banyak masyarakat yang belum paham tentang ekonomi Islam sehingga masih banyak memilih layanan dari pihak konvesional dalam perbankan dan keungan. Penelitian ini bertujuan untuk menganalisis dari implementasi nilai ketuhanan dalam ekonomi Islam di Indonesia. Temuan-temuan tersebut menunjukkan bahwa masyarakat Indonesia sangat menghargai konsep-konsep ekonomi Islam, yang mereka praktikkan dalam kehidupan sehari-hari melalui kegiatan-kegiatan seperti bertani, berdagang, dan bekerja di bisnis-bisnis yang sesuai dengan Syariah. Fakta bahwa beberapa daerah tertentu memiliki aturan tak tertulis yang melarang penjualan komoditas haram menunjukkan bahwa sistem ekonomi Islam telah dipraktikkan oleh masyarakat melalui tradisi turun-temurun sebelum berdirinya lembaga-lembaga keuangan Islam. Terlepas dari potensi besar Indonesia sebagai pusat pertumbuhan ekonomi Islam, negara ini menghadapi sejumlah kendala yang akan menyulitkan penerapan sistem ekonomi Islam. Hal ini termasuk konsumsi yang meluas di kalangan masyarakat Indonesia dan kurangnya pengetahuan tentang perbankan dan keuangan Islam. Oleh karena itu, untuk memberikan pengaruh langsung yang substansial terhadap pembangunan ekonomi, diperlukan sosialisasi yang luas dan partisipasi dari berbagai sektor.
The Socioeconomic Conditions and Behavior of Riverside Communities in Disposing of Waste in the Cisadane River Segment of South Tangerang City
Authors: Izzati Urfi , Hasibuan Hayati Sari
Published: January 2025

The existence of settlements along riverbank, particularly in urban areas, can disrupt both the function of the river and its riverbank. The behavior of riverside communities generally adds to burden the river, primarily through the practice of disposing waste into the river and its riverbank. This behavior can cause detrimental effects on both the environment and society. This research aims to examine the socioeconomic conditions and waste disposal behavior of communities residing along the Cisadane River, South Tangerang City. This research is a quantitative descriptive study. Data collection involved the use of questionnaires, interviews, and observations, which were subsequently analyzed using descriptive statistical techniques. The findings revealed that the majority of riverside communities in South Tangerang City exhibited a high level of understanding (54.55%), a relatively positive perspective (75.76%), and a poor economic condition (57.58%). However, their waste disposal behavior was predominantly inadequate (51.52%). Consequently, the study indicates a discrepancy between the community's level of understanding, perspective, and actual waste disposal practices. With the intervention of communication forums, the creation of mutually agreed norms, and the availability of waste disposal and processing infrastructure, it is hoped that the community awareness and sense of responsibility would be enhanced, that will lead to no rubbish throwing into the river and its borders hence diminishing the burden of the river so that the function of the river and its borders are preserved.
Evaluation of Change Management Innovation Training Based on Participant Perception
Authors: Sembiring Helena , Mahendra Wirawan Sri , Indrastuti
Published: January 2025

This research was conducted to find out how effective Management of Change and Innovation, CMI training is in increasing participants' understanding of the CMI concept. Organizational change is triggered by changes such as dynamic regulations, societal demands for better public services, and technological advances. Public organizations must change, make continuous improvements, and move towards High Performance Public Organizations to achieve their best performance. In the three groups of participants in this study, there was an average increase of 52,23% from pre-test to post-test. Cohort IV showed the greatest improvement, while participant satisfaction levels varied, with Cohort V showing higher levels of satisfaction than Cohorts IV and VI. According to the evaluation of the implementation of innovation proposals, more than 65,47% of participants successfully implemented innovative proposals in their workplace. This shows that participants are very interested in innovation. The evaluation results stated that the CMI training was successful in increasing participants' understanding, but variations in participant satisfaction needed further attention. Evaluation and in-depth study of participant feedback is the key to improving the quality of CMI training services. A further training evaluation of the variables that influence the level of participants' understanding and the effectiveness of the training is needed, as well as the importance of planning improvements based on the evaluation results so that the training program can continue to develop and provide maximum benefits for participants in the future.
Features of isolation and nature of low-resistivity oil-saturated reservoirs of the Middle Jurassic deposits of the Akshabulak Central field of the South Torgai oil and gas basin
Authors: Dzhumagaliyeva Ainagul K. , Nyssangaliyeva Shynar  O. , Akhmetov Duman A. , Sagindykov Kairat I. , Mardanov Altynbek  S. , Jaxylykov Talgat  S. , Murzagaliyeva Zhansaya  S.
Published: January 2025

At the current stage of development of the oil and gas industry of our country, additional exploration of existing fields, understudied promising areas, identification of missed horizons, methods of evaluation and development
of non-standard reservoirs are of particular relevance. Reservoirs with low specific electrical resistivity can be referred to non-standard reservoirs, and there are some difficulties in assessing hydrocarbon prospects of these reservoirs. Low resistivity reservoirs can be productive reservoirs with high residual water saturation as well as reservoirs for which generally accepted interpretation techniques are ineffective. Proper analysis of the reasons that lead to underestimation of the resistivity of productive reservoirs allows choosing the most effective interpretation methods.
The article is devoted to the study of the features of reservoirs with low electrical resistivity, their nature and role in the process of fluid accumulation. The basic methods of identification of low resistivity zones in reservoir rocks, their physical and chemical characteristics that cause low resistivity, including mineralogical composition, saturation, porosity, permeability and pore space structure, are considered, and their influence on the filtration-capacitance characteristics is analyzed. Approaches to integrating data from various methods (geophysical and geological-technological studies, laboratory measurements) are described. Special attention is paid to the influence of low resistivity on the interpretation of data from geophysical methods. The results of the study have significant practical potential for optimization of field development.
Prospects for enhancing hydraulic fracturing efficiency through the use of advanced proppants in the Atyrau region fields
Authors: Bukharbayeva Aidana N. , Assanov Karim B. , Bashev Adilbek A. , Jaksylykov Talgat S. , Mardanov Altynbek S.
Published: January 2025

Background: The history of hydraulic fracturing in the Atyrau region's fields spans over 20 years; however, the types and functional characteristics of proppants – the main material used in HF – have remained unchanged. Given the rapid pace of technological advancement and the growing need to optimize production processes, the relevance of studying new types of proppants becomes obvious. The ability to model and customize high-tech proppants for the specific conditions of oil fields is crucial for enhancing hydraulic fracturing efficiency and, as a result, boosting hydrocarbon production volumes in the Atyrau region.
Aim: This article discusses recent advancements, global trends, practical experience, and laboratory studies related to the use of innovative proppants. It also evaluates the potential for utilizing lightweight proppants at fields A and B. The aim of this study is to explore the possibilities of deploying multifunctional proppants to optimize hydraulic fracturing operations.
Materials and Methods: To address the set objectives, we developed a model of the geomechanical and filtration properties of the formation for fields A and B using FracPro software. Also, we conducted a simulation of the hydraulic fracturing design with various injection parameters . Based on the results of hydraulic fracturing modeling results using lightweight proppants, we calculated indicators oil production .
Results: The simulation results demonstrate the economic feasibility of using lightweight proppants, evidenced by a 23.8% increase in additional production at Field A. For Field B, the estimated annual production volume significantly exceeds current levels, resulting in a 4.5-fold increase in profitability.
Conclusion: Multifunctional proppants hold considerable potential to enhance hydraulic fracturing efficiency. The application of innovative proppants allows for better control over fracture geometry, minimizes the risk of breakthrough into water-saturated zones, and increases the volume of stimulated zone, thereby optimizing hydrocarbon production.
New Integral Neutron-Neutron Logging for Cement Integrity Analysis of any Backfilling
Authors: Polyachenko Lyudmila B. , Polyachenko Anatoly L. , Egurtsov Sergey A. , Ivanov Yuri V.
Published: January 2025

Background: The article presents a new technology of integral neutron-neutron logging technology for cement integrity analysis (hereinafter – NNL-C) of wells in hydrocarbon fields, developed by GeoSpectr Oil and Gas Technology Institute (Russia). NNL-C is designed to ensure the quality of well cementing focusing on the condition, integrity and leak tightness of any type and density of cement casing (including light cement). It can be used in any kind of well filling whether liquid, gas, or a mixture. NNL-C is applicable at all stages of the oil and gas well lifecycle – from construction to operation – without well-kill operation and tubing removal. This technology is free from the major limitations of standard (conventional) gamma-gamma and acoustic logging techniques for cement integrity evaluation.
Aim: The purpose of the NNL-C is to offer a prompt and cost-effective evaluation of the integrity or failure of cementing in any active wells. In contrast to NNL-C, the standard methods for analyzing cement integrity are inadequate for this purpose, as they cannot be applied to lightweight cement, tubing wells, or gas-filled wells.
Materials and methods: The science behind, methodology, and interpretation software for NNL-C were developed employing mathematical modeling. This technology hs been tested against measurement data from real wells.
Results: The NNL-C method was tested in 12 and tried in more than 20 wells, demonstrating a good correlation with standard methods and achieving high accuracy of cement-bond logging. The possibility of quantifying cement under field conditions was confirmed in scenarios where standard cement-bond logging techniques are typically not applicable, such as in tubing wells, gas-filled wells, and during the use of lightweight cement. The NNL-C technology has been successfully implemented in Kazakhstan at the Kozhasai and Alibekmola oil and gas condensate fields, as well as the Bozoi underground gas storage facility.
Conclusion: The technology provides reliable, accurate, and cost-effective information on the quality of cementing of wells under construction such as condition, integrity and tightness of cementing (cement sheath) of production wells.
Polymercationic Drilling Fluids for Well Construction in Challenging Mining and Geological Conditions
Authors: Yaremko Artem V. , Karabalin Uzakbai S. , Yussubaliev Renat , Gaidarov Azamat M.
Published: January 2025

Background: Oil and gas well drilling involves the use water- and hydrocarbon-based drilling fluids for flushing. While hydrocarbon solutions offer several advantages—such as preventing rock softening on the wellbore walls, reducing the formation of caverns due to instability in clay rocks, and dissoving salts (like halite, sylvinite, and bischofite), and preserving the natural reservoir properties of productive formations—they also have significant drawbacks. These disadvantages are related to the properties of the dispersion medium, which limits their overall application. The dispersion medium in hydrocarbon solutions consist of compounds that are both environmentally and flammable, such as kerosene, diesel fuel, olefins, various oils, etc. Increasing concern from government and environmental organizations regarding the environmental impact of drilling fluids using hydrocarbon dispersion medium have promted the industry to focus on water-based solutions. Despite several significant disadvantages, water-based drilling fluids are still more in demand than hydrocarbon ones. Although there is a preference for hydrocarbon systems, approximately 85% of all drilling fluids used worldwide today are water-based. This study focuses on a new approach in the field of water-based drilling fluids: the development, creation and implementation of polymer cationic systems. The idea of developing new water systems involves creatng polymer cationic working fluids that combine the beneficial properties of hydrocarbon and aqueous solutions.
Aim: To research and develop modern polymer cationic drilling fluids for well construction in the Republic of Kazakhstan.
Materials and methods: Polymer cationic drilling fluids were selected as the objects of study. To address the research objectives, experiments were conducted under both laboratory and field conditions.
Results: This article presents the findings of laboratory tests and field trials conducted in the fields of the Russian Federation and the Republic of Kazakhstan.
Conclusion: For the first time in global practice, stable polymer cationic drilling fluids have been developed and successfully tested, combining the advantages of aqueous and hydrocarbon systems. Both theoretical and practical principles for managing the properties of polymer cationic solutions have been established. The application of modified polymer cationic drilling fluids in well construction at the at the Astrakhan field and the Uzen field has demonstrated their high performance. This innovation has enabled the prevention of production isuues, increased mechanical speed of drilling, improved wellbore condition, reduced cavern porosity, and successfully completed the construction of over 20 wells. Additionally, it facilitated implementation of high-density solutions for killing brine and other related tasks.
„Lupi rapaces?“ Vývoj a formovanie postoja humanistu Leonarda Coxa k reformácii
Authors:   Univerzita Pavla Jozefa Šafárika v Košiciach, Filozofická fakulta, Katedra histórie, Fedorčák Peter
Published: January 2025

Leonard Cox (c. 1495 – c. 1550) is one of the significant figures of humanism and the Renaissance in Hungary and Poland. The period of his activity overlaps with the early stages of the Reformation in Poland and Hungary, and later with the adoption of institutional Reformation in England. In Slovak and Hungarian historiography, Cox has traditionally, but erroneously, been regarded as a reformer and promoter of the Reformation in Hungary. While Cox did eventually become a supporter of the Reformation, this occurred only in the final years of his life in England. During the time he worked in Poland and Hungary, he rejected and criticized the Reformation. In this study, I analyze Cox’s relationship to the Reformation, his interactions with church leaders, and his overall attitude toward religion.
Adorácia sv. Krížu. Oltárny obraz z kostola kapucínov v Bratislave
Authors:   Ústav dejín a teórie architektúry a obnovy pamiatok, Fakulta architektúry a dizajnu STU, Botek Andrej
Published: January 2025

The Altar of the Holy Cross is situated in the Capuchin Church in Bratislava, on the northern wall in a niche. It was built during the reconstruction of the church in 1735 and its donor was Count Karol Zichy (Ziči). It is a composite of architectural, sculptural and painting works from an unknown artist (artists). The main motif displays the “Adoration of the Cross”. In the middle is an oil painting of the crucified Christ that shows representatives from the social layers of that time. On left there are clergy (bishop, abbot, monks and nuns), and on the right secular people (king, duke, noblemen and others). The symbolic message concentrates on Christ´s redemptive sacrifice for all people. This article deals with the symbolical, iconological and artistical issues of this altar painting.
Work-family behavioral role conflict and daytime sleepiness on suicide risk among Chinese nurses: A cross-sectional study
Authors: Gan Qing-Wen , Yuan Yi-Ling , Li Yuan-Ping , Du Yi-Wen , Zheng Li-Lan
Published: January 2025

BACKGROUND

Work-family conflicts and daytime sleepiness are related to the risk of suicide. At present, no study has investigated the relationship between nurses’ work-family behavioral role conflict and suicide risk. Moreover, it has not been confirmed whether, considering the effect of daytime sleepiness on suicide risk, daytime sleepiness mediates the effect of work-family behavioral role conflict and suicide risk.

AIM

To explore the pathway relationships among nurses' work-family behavioral role conflict, daytime sleepiness, and suicide risk.

METHODS

Convenience and purposive sampling methods were used to select 750 nurses from six provinces, including Jiangxi, Sichuan, and Shanxi. The work-family behavioral role conflict scale, the Chinese adult daytime sleepiness scale, and the suicide behavior questionnaire were used for the survey. The data were statistically analyzed via SPSS 25.0 software, Pearson correlation analysis was used to explore the correlations between the variables, the PROCESS 4.0 program was used for the mediation effect analysis, and the mediation effect model was tested via the bootstrap method.

RESULTS

Nurses' work-family behavioral role conflict and daytime sleepiness were positively correlated with suicide risk (r = 734, 0.717). Work-family behavioral role conflict positively predicted suicide risk (β = 0.118), and daytime sleepiness positively predicted suicide risk (β = 0.152). Daytime sleepiness partially mediated the role of nurses' work-family behavioral role conflict and suicide risk, with a mediation effect value of 0.046 and a mediation effect accounting for 38.98%.

CONCLUSION

The results of the Pearson correlation analysis and mediation effect analysis revealed that nurses' work-family behavioral role conflict has a direct effect on suicide risk and indirectly affects suicide risk through daytime drowsiness symptoms.
Non-suicidal self-injury risk among left-behind children and adolescents in China: A systematic review and meta-analysis
Authors: Zheng Qi , Chen Xin-Chao , Deng Ying-Jian , Ji Ya-Juan , Liu Qi , Zhang Chen-Yun , Zhang Tian-Tian , Li Ling-Jiang
Published: January 2025

BACKGROUND

Increasing evidence has shown an increased risk of non-suicidal self-injury (NSSI) in left-behind children and adolescents (LBCAs). However, a systematic summary of studies comparing the risk of NSSI between LBCAs and non-LBCAs in China is lacking.

AIM

To investigate the risk of NSSI among LBCAs in China.

METHODS

We performed a systematic search of Embase, PubMed, and Web of Science from initiation to October 25, 2024, for all relevant studies of NSSI and LBCAs. The effect sizes were reported as odds ratios (ORs) with 95% confidence intervals (CI). Sensitivity analyses were conducted to further confirm the stability of the findings.

RESULTS

A total of 10 studies with 165276 children and adolescents were included in this study. LBCAs had significantly higher rates of NSSI compared with non-LBCAs (OR = 1.33, 95%CI: 1.19-1.49), with high heterogeneity observed (I 2 = 77%, P < 0.001). Further sensitivity analyses were consistent with the primary analysis (OR = 1.29, 95%CI: 1.21-1.39, I 2 = 0%).

CONCLUSION

LBCAs are found to be at an increased risk of NSSI compared with children and adolescents of non-migrants. More attention and intervention are urgently needed for LBCAs, especially those living in developing countries.
Hemispheric asymmetries and network dysfunctions in adolescent depression: A neuroimaging study using resting-state functional magnetic resonance imaging
Authors: Xiong Ying , Yu Ren-Qiang , Wang Xing-Yu , Liang Shun-Si , Ran Jie , Li Xiao , Xu Yi-Zhi
Published: January 2025

BACKGROUND

Currently, adolescent depression is one of the most significant public health concerns, markedly influencing emotional, cognitive, and social maturation. Despite advancements in distinguish the neurobiological substrates underlying depression, the intricate patterns of disrupted brain network connectivity in adolescents warrant further exploration.

AIM

To elucidate the neural correlates of adolescent depression by examining brain network connectivity using resting-state functional magnetic resonance imaging (rs-fMRI).

METHODS

The study cohort comprised 74 depressed adolescents and 59 healthy controls aged 12 to 17 years. Participants underwent rs-fMRI to evaluate functional connectivity within and across critical brain networks, including the visual, default mode network (DMN), dorsal attention, salience, somatomotor, and frontoparietal control networks.

RESULTS

Analyses revealed pronounced functional disparities within key neural circuits among adolescents with depression. The results demonstrated existence of hemispheric asymmetries characterized by enhanced activity in the left visual network, which contrasted the diminished activity in the right hemisphere. The DMN facilitated increased activity within the left prefrontal cortex and reduced engagement in the right hemisphere, implicating disrupted self-referential and emotional processing mechanisms. Additionally, an overactive right dorsal attention network and a hypoactive salience network were identified, underscoring significant abnormalities in attentional and emotional regulation in adolescent depression.

CONCLUSION

The findings from this study underscore distinct neural connectivity disruptions in adolescent depression, underscoring the critical role of specific neurobiological markers for precise early diagnosis of adolescent depression. The observed functional asymmetries and network-specific deviations elucidate the complex neurobiological architecture of adolescent depression, supporting the development of targeted therapeutic strategies.
Correlation between psychological, family social support, and home nursing quality for an implanted venous access port
Authors: Jia Heng-Ya , Yan Li-Qun , Liu Xiao-Bei , Cao Jie
Published: January 2025

BACKGROUND

Cancer patients with an implanted venous access port (IVAP) often manage their care at home during chemotherapy intervals, including maintaining the device, monitoring complications, and following medication instructions. Home care ensures continued support after discharge. However, due to factors such as age, gender, culture, psychological status, and family support, the quality of home care varies significantly. Understanding these factors can help provide targeted guidance to improve the care of cancer patients.

AIM

To explore IVAP chemotherapy on home care quality and its association with mental health and family support for cancer patients.

METHODS

This investigative study was based on a medical records system. It investigated the relationship between psychological status, family support, and home care quality in 180 patients with cancer undergoing IVAP chemotherapy. Psychological status was assessed using the State Anxiety Inventory (S-AI); family support was assessed using the Perceived Social Support Scale (PSSS), and home care quality was evaluated using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Pearson’s correlation and Structural Equation Modeling were used to analyze the interplay between these factors.

RESULTS

The average S-AI score was 47.52 ± 14.47, PSSS was 52.48 ± 12.64, and EORTC QLQ-C30 was 70.09 ± 17.32. A substantial inverse relationship was observed between the EORTC QLQ-C30 and S-AI scores (r = -0.712). A significant positive correlation was found between the EORTC QLQ-C30 and the PSSS, with a correlation coefficient of (r = 0.744). The multiple linear regression analysis indicated that family social support, psychological status, and average monthly family income were the main factors influencing the variation in the quality of home care, explaining 71.9% of the variation. The Structural Equation Modeling results indicated that psychological status acted as a partial mediator in the association between family social support and home care quality of life, explaining 32.78% of the mediation effect.

CONCLUSION

Psychological status and family social support positively impacted cancer patients’ home care quality, with psychology partially mediating this effect.
Nursing interventions based on Snyder’s hope theory for depression following percutaneous coronary interventions: A clinical study
Authors: Wang Xiao , Song Hai-Feng , Zhang Si-Min
Published: January 2025

BACKGROUND

Patients with depression following coronary heart disease often exhibit insufficient psychological resilience and self-care abilities; therefore, emphasis must be placed on nursing interventions.

AIM

To analyze the application value of problem-oriented education combined with nursing interventions based on the Snyder hope theory model in depressed patients after percutaneous coronary intervention (PCI).

METHODS

This study included 150 patients diagnosed with PCI postoperative depression because of coronary heart disease between February 2022 and February 2024. Participants were divided into two groups: A control group (n = 75) receiving problem-oriented education and an observation group (n = 75) receiving combined nursing interventions based on the Snyder hope theory model. Depression status, psychological resilience, self-care ability, and quality of life were compared between the two groups.

RESULTS

Before nursing interventions, there were no significant differences between the two groups (P > 0.05). After the interventions, depression scores decreased while psychological resilience, self-care ability, and quality of life scores increased significantly in the observation group compared to that in the control group, with statistically significant differences noted (P < 0.05). This combined approach can enhance psychological resilience, improve self-care abilities, and elevate the overall quality of life, warranting further promotion in clinical practice.

CONCLUSION

Combination of problem-oriented education and nursing interventions based on the Snyder hope theory model effectively alleviates depression in patients following PCI for coronary heart disease.
Online Inspection of Packed Cases
Authors:   Presidency University, Bengaluru, Reddy, D Sai Eswara
Published: January 2025

This paper presents a novel approach to automate the inspection process of packed agricultural cases using Artificial Intelligence (AI) and image processing techniques. The current manual inspection system, which assesses only 10% of packed cases based on subjective expert judgment, faces limitations such as inefficiency, subjectivity, and an inability to scale. The proposed solution leverages AI models and advanced image processing algorithms to perform real-time, automated inspections of packed cases. The system assesses quality based on predefined parameters like color, ripeness, and uniformity, as per customer specifications. This approach offers numerous benefits, including increased accuracy, scalability, cost reduction, and enhanced customer satisfaction.

Keywords— Artificial Intelligence (AI), Image Processing, Online Inspection, Quality Control Automation, Agricultural Products, Real-Time Feedback, Machine Learning, Objectivity in Inspection, Automated Quality Assessment, Case Inspection.
Intelligent Symptom Analysis and Report Interpretation for Thyroid Disorder Prediction Using Machine Learning
Authors:   D. Y. Patil College of Engineering & Technology, Kasaba Bawada, Kolhapur, India., Kurale , Sohan , Majajan Keerti , Rhatankar, , Vinayak , Salokhe Aniket
Published: January 2025

The thyroid gland, situated at the front of the neck, is essential for producing hormones that regulate many of the body’s critical functions. This paper presents a machine learning-based system aimed at enhancing early detection and providing personalized care for thyroid disorders. Leveraging the Random Forest algorithm chosen for its robust classification abilities the system incorporates two key models: an initial assessment tool that examines self-reported symptoms to determine if further diagnostic testing is recommended, and a diagnostic model that interprets test results to identify specific thyroid disorders. Additionally, the system provides customized diet and exercise suggestions. With an accuracy of 85%, the system effectively supports early symptom analysis and accurate diagnosis. By combining symptom evaluation with tailored health guidance, this approach enables timely detection, accurate diagnostics, and effective management of thyroid conditions, offering personalized insights for patients and support for healthcare providers.

Key Words:  Machine Learning, Random Forest, Thyroid Disease , Data Preprocessing, Healthcare informatics
Machine learning based Obstacle and wild animal detection for avoiding accidents on Railway Tracks
Authors:   S R Department of ISE, JNN College of Engineering., Bulbule Prerana Sadanand
Published: January 2025

This study focuses on the critical task of detecting wild animals and obstacles in their natural environment. The proposed algorithm leverages deep learning techniques to classify and identify animals and obstacles based on image data, providing an efficient means of monitoring them. Given the diversity of animals and obstacles, manual identification can be challenging, making automation essential. By applying advanced image processing and deep learning algorithms, the system detects potential hazards and alerts train operators, helping to prevent accidents. The approach emphasizes long-range recognition for effective monitoring of wildlife and obstacles in railway environments.

Key Words: Long-range recognition, wild animal and obstacle detection, deep learning, image processing.
Virtual Banker at Your Fingertips Using Chatbot System
Authors:   Presidency University Bangalore, Mahadi, Aishu S
Published: January 2025

Abstract- Technology's quick development has revolutionized the banking industry and opened the door for creative solutions like chatbots driven by artificial intelligence. The creation and deployment of a virtual banking system that uses chatbot technology to increase security, simplify processes, and improve customer experience is the main emphasis of this study. The study investigates how to build intelligent and responsive chatbots using machine learning, natural language processing (NLP), and interaction models. Personalized financial services, round-the-clock accessibility, cutting down on time spent on repetitive tasks, and upholding strict security and compliance guidelines are some of the major goals. Increased client pleasure, better operational effectiveness, and greater confidence in banking services are anticipated results. The suggested solution guarantees a safe and moral method of virtual banking by taking privacy issues and legal requirements into account. According to the paper's conclusion, chatbot technology is a game-changer for contemporary banking, allowing organizations to satisfy the needs of tech-savvy clients while encouraging contentment and loyalty. To ensure continued innovation and growth, future directions include investigating trends in personalized banking experiences and combining chatbots with upcoming technology.

Keywords-  Virtual Banking Chatbot Technology Natural Language Processing (NLP) Artificial Intelligence (AI)
Billy-Buddy Against Cyber Bullying
Authors:   Computer Science and Engineering Presidency University  Bangalore, Karnataka, India., Guruprasad Ananthaneni
Published: January 2025

Abstract— Cyberbullying has become an alarming issue in the digital age, profoundly impacting mental health and societal well-being. To address this concern, we present "Billy-Buddy Against Cyber Bullying," a comprehensive web-based solution aimed at mitigating the impact of cyberbullying. Leveraging cutting-edge web development Tools like React.js, Node.js, Express.js, MongoDB, and APIs like Groq, this platform offers functionalities for anonymous reporting, statistical tracking, community support, and real-time assistance through an interactive chatbot.

Keywords— Cyberbullying, mental health, React.js, Node.js, MongoDB, anonymous reporting, statistical tracking, community support, chatbot, cybercrime.
Human Identification System using Images
Authors:   Department of ISE, JNN College of Engineering., S Jahnavi , K Ananya , S Ananya Y , S , Harshitha V
Published: January 2025

The present study focuses on the challenges of human long-range recognition with deep learning, and AlexNet performance is considered, being one of the most recognized convolutional neural networks. A specially curated dataset was used to mimic the real world in a more practical and realistic scenario, which involves subjects varying in distances and angles while creating low-resolution issues with variability in lighting and distractions from the environment. The system starts by passing the input dataset through a local Laplacian filter that is utilized to enhance the quality of images before feeding it into a pre-trained AlexNet model. The results reveal that AlexNet reaches a recognition accuracy of 65% and shows that image properties such as sharpness and contrast significantly affect performance, as measured by the mean and standard deviation. The study underlines requirements of high-quality images for applications in long-range human recognition and sheds insight into the ways enhancements in images could improve performance in deep learning models. Results support further evolution of more potent human recognition systems, particularly in application domains such as surveillance and security in which the accurate identification of a target from a long distance is highly critical.

Key Words: Long-range recognition, Human recognition, Deep learning, Image processing
Fraud App Detection using Machine Learning Algorithms
Authors:   Information Science and Engineering & J N N College of Engineering, V Poornachandra D
Published: January 2025

Abstract - The increasing number of mobile applications has resulted in a rise in malicious software, including fraud apps that take advantage of user permissions and system vulnerabilities to compromise sensitive personal and financial data. This paper introduces a comprehensive fraud detection system that leverages machine learning techniques to classify mobile applications as either benign or malicious. The system is implemented as a web-based platform using Flask, enabling users to upload, analyse, and classify APK (Android Package) files efficiently.

Important features, such as application permissions and metadata (including app name, target SDK version, and file size), are extracted from APK files and transformed into feature vectors for classification by two machine learning models: an Artificial Neural Network (ANN) and a Support Vector Classifier (SVC). The ANN model achieves a classification accuracy of 92.26%, while the SVC model reaches an accuracy of 89%. To improve model performance further, a Genetic Algorithm (GA) is used for feature selection, which reduces the number of features and enhances both the computational efficiency and predictive accuracy of the models.

The system offers an intuitive user interface that allows users to interact with the detection models, preview datasets, select classification algorithms, and view in-depth results, including safety recommendations for uploaded APK files. Additionally, the system provides visualizations of performance metrics and highlights the importance of specific features, improving the interpretability and transparency of the decision-making process.
Đặc điểm hình ảnh của cắt lớp vi tính 512 lát trong chẩn đoán hẹp động mạch vành ở bệnh nhân nghi ngờ bệnh động mạch vành mạn tính tại bệnh viện Trung ương Quân đội 108
Authors: Lê Tuấn Linh , Nguyễn Trọng Tuyển , Nguyễn Minh Hồng , Lê Minh Trường
Published: January 2025

Mục tiêu: Mô tả đặc điểm hình ảnh cắt lớp vi tính 512 lát ĐMV ở bệnh nhân nghi ngờ hẹp mạn tính động mạch vành
Thiết kế nghiên cứu: Nghiên cứu mô tả cắt ngang, 63 bệnh nhân nghi ngờ hẹp ĐMV mạn tính đươc chụp CLVT 512 lát cắt G.E Revolution tại BV Trung ương Quân đội 108 từ 15/9/2022 đến 15/9/2023
Kết quả: Độ tuổi trung bình 61,3±11,5; tỉ lệ nam: nữ xấp xỉ 1,9:1; nhịp tim trung bình 72,03±20,05 ck/phút. Chất lượng ảnh chụp đạt từ khá trở lên chiếm tỉ lệ 85,7%. Vôi hóa ĐMV chủ yếu ở mức độ nhẹ (41,3%), phân bố trên tất cả các nhánh động mạch. Động mạch liên thất trước chiếm tỉ lệ vôi hóa nhiều nhất (53,9%) và cũng là nhánh có nhiều vị trí hẹp nhất (71,4%). Vị trí hẹp hay gặp nhất ở các nhánh ĐMV là ở đoạn giữa và mức độ hẹp nhẹ hay gặp nhất
Kết luận: Cắt lớp vi tính động mạch vành 512 lát giúp đánh giá điểm Calci, biến thể và bất thường giải phẫu, vị trí hẹp và mức độ hẹp động mạch vành
Detection of cocoa pod diseases using a hybrid feature extractor combining CNN and vision transformer with dual classifier
Authors: KOUASSI Kouassi Simeon , DIARRA Mamadou , EDI Kouassi Hilaire , Jean-Claude KOUA Brou
Published: January 2025

Ivory Coast is the world’s leading cocoa producer, with a harvest of over two million tons in 2023. This dominance is severely threatened by several diseases, including Swollen Shoot, which was first detected in 1943. The epidemic, particularly severe in 2003, destroyed over 77,000 hectares of plantations. The prevalence of the disease has continued to rise, affecting new farms and causing substantial economic losses. In response to this situation, research is focusing on innovative solutions, such as artificial intelligence, to automate the detection of these diseases. In this study, a computer vision system was developed using a hybrid algorithm that combines convolutional neural networks and Transformers for feature extraction, along with dual classification through SVM and LightGBM for Swollen Shoot symptom detection. Our algorithm analyzes images of cocoa pods to identify symptoms such as reddish or black spots, brown or black lesions, or pod malformation.  This model achieved an accuracy rate of 99.24%, surpassing other similar methods mentioned.  Promising results for the classification of cocoa pod images, pave the way for practical solutions in the management of the Swollen Shoot pandemic. Through mobile applications or embedded systems, this technique will also contribute to the needs of early detection and intervention for precision agriculture.
A compensation of VANETs with UAVs to optimizing the routing strategy
Authors: Ali Rabei Raad , Alzakwani Mujahid Hamood Hilal , Waisi Najwan Zuhair , Jubair Mohammed Ahmed , Najjaw Mahmood Sh
Published: January 2025

VANETs (Vehicular Ad Hoc Networks) played a vital role in the infrastructure of smart cities due to intelligent communication systems. VANETs exhibit unique characteristics, such as high speeds and unpredictable mobility, which lead to challenges such as overhead, delay, and link failure. Therefore, Unmanned Aerial Vehicles (UAVs) are introduced to mitigate ground-level issues, with communication managed through the air medium used to address these problems. Routing also needs to be enhanced for effective communication in UAV-assisted VANETs. This paper proposes an Advanced UAV Communication Strategy for VANETs (AUCS-VANETs) approach to optimize the routing protocol. The strategy selects the shortest route from source to calculate the vehicle's potential future delay and employs the Probability Distribution Function (PDF) through Bayes' model. We use NS2 and SUMO in the simulation as well as four parameters for testing (“Packet Delivery Ratio” (PDR), “End-To-End” (E2E) delay, “Routing Overhead” (RO), and “Throughput” (TP). The experiment results show that the AUCS-VANETs approach achieves higher PDR and TP, along with lower E2E delay and RO compared to earlier approaches.
Systematic study on the choice of higher education institutions in the engineering field
Authors: Torres Arturo González , Avendaño-López Pavel David Ulises , Bojorges Gerardo Quiroz
Published: January 2025

This research systematically examines the factors that influence the choice of higher education institutions in the field of engineering. Through a comprehensive review of recent literature, using the PRISMA 2020 methodology, 98 academic articles were analysed, of which 13 met the established inclusion criteria. The study identifies ten main factors influencing students' decision, the most significant being family, educational and economic aspects, mentioned by 11-12 authors. Individual factors were cited by seven authors, while social and academic environment and gender stereotypes were mentioned by five and four authors respectively. The findings reveal that institutional choice is more influenced by external factors than by personal preferences. The research highlights the persistence of socio-cultural barriers in the selection of engineering careers and emphasises the need for educational policies that address these challenges. The results provide valuable information for educational institutions and policy makers, suggesting the implementation of more robust financial support and career guidance programmes to optimize engineering education.
A Study on the new Media Marketing Strategies of new Tea Beverage Companies: A Case Study of KF Cha
Authors: Zhou Zi Qi , Shia An-Shin
Published: January 2025

The proliferation of new media platforms, coupled with the burgeoning growth of the new tea beverage market, has engendered a fiercely competitive business environment. This study investigates the marketing strategies of KF Cha, a notable player in the industry, by employing a mixed-methods approach that includes a questionnaire survey and strategic analysis tools such as PEST and SWOT. The questionnaire, comprising 25 items across four dimensions—demographics, purchasing behavior, marketing perceptions, and feedback—yielded a 90.5% response rate with 181 valid returns. The analysis reveals deficiencies in KF Cha’s marketing approach related to the principles of engagement, consumer benefit, interactivity, and personalization. The research culminates in the formulation of tailored enhancement strategies aimed at addressing these identified gaps.
Re-Defining Youth and Women Empowerment: Interogating the NAFA Program Initiative in The Gambia
Authors: Omotosho Oyejide Felix , Abatan Olajide Olusegun
Published: January 2025

With the extreme poverty level and its widespread in the Gambia as of 2012 and government’s concern to counter it, empowerment became one of the strategies to tackle the problem through social protection program, gazette as a policy for reduction of the shocks on the marginalized and the vulnerable. This study centered on the NAFA project-a quick cash transfers project mechanism and its execution in the Barrow administration to needy households in tackling poverty and hunger in the Gambia and towards empowering the perceived vulnerable women and youths in the Gambian communities. The study examined the execution of the scheme and its effectiveness by the government and the extent to which it had been used to adequately improve the poor conditions of women and the youths under the program. A descriptive research design with analytical approaches was employed to explore the objectives of the scheme in the pandemic era that people found it most difficult to earn living due to COVID-19 outbreak. Findings confirmed that NAFA scheme was relatively successful amidst inadequacies. The research advised on further reforms for a sustainable implemented NAFA scheme.