bluuebunny/crossref_metadata_2025 huggingface dataset:
Stackelberg game-based anti-disturbance control for unmanned surface vessels via integrative reinforcement learning
Authors: Meng Yizhen , Liu Chun , Zhao Jing , Huang Jing , Jing Guanbo
Published: January 2025

In the navigation of unmanned surface vessels (USVs), external disturbances, particularly ocean waves, frequently induce deviations from the desired trajectory. To mitigate these challenges, we propose a novel disturbance rejection control strategy based on Stackelberg game theory, designed to address unmodeled system dynamics, complex environmental conditions, and other external perturbations. This approach incorporates several key innovations. First, we introduce a velocity error dynamic system coupled with a non-cooperative Stackelberg game model, where the USV's control inputs (as the leader) and external disturbances (as the follower) interact within an alternating update framework. This leader-follower interaction facilitates the joint optimization of both the disturbance rejection and performance-optimal control strategies, enhancing the USV's tracking accuracy while maximizing its disturbance rejection capacity. Second, we rigorously verify the existence of a cooperative optimal solution through an analysis of the Nash equilibrium under sequential decision-making between the leader and follower. Building on this, integral reinforcement learning and neural networks are employed to approximate the optimal Stackelberg solution. The boundedness and convergence of the proposed approach are validated using Lyapunov functions, ensuring stability and optimal performance under dynamic operating conditions. Finally, simulation results confirm the efficacy of the proposed strategy, demonstrating its ability to concurrently optimize control robustness and performance - such as minimizing tracking error and energy consumption - when confronted with unmodeled dynamics and external disturbances.
Feasibility Analysis of the Sorong Special Economic Zone (SEZ) Location, Provinsi Papua Barat Daya
Authors: Tajuddin Tamrin , Ibal La , Masniar Masniar
Published: January 2025

Government Regulation Number 31 of 2016 designated the Sorong Special Economic Zone (KEK) as the first Special Economic Zone in Papua. The establishment of the Sorong SEZ is expected to become a new center of economic growth in eastern Indonesia, in line with one of the principles of Nawacita, namely building Indonesia from the outskirts. This study employs the analysis of location feasibility, environmental feasibility, technical feasibility, and financial feasibility. The variables of this study are slope, land use, flood-prone, landslide-prone, and suitability of spatial pattern, as well as environmental feasibility, land use, flood-prone, landslide-prone, spatial planning, environment, technical, and economic and financial. The location of the Sorong SEZ in Provinsi Papua Barat Daya is based on the overlay with the Sorong Regency RTRW, most of the Sorong SEZ is an industrial area with a mostly gentle slope, not included in the landslide-prone area, but has a fairly high flood-prone area. Environmental feasibility dictates that the Sorong SEZ area is located in a coastal/beach area, thereby prohibiting companies from using groundwater as a raw water source for their operations. The existence of infrastructure such as the 50 MW PLN Power Plant, Arar Port, clean water network, and others makes the Sorong Special Economic Zone technically qualified as the Sorong Special Economic Zone. The Sorong Economic Zone Development Financing Plan, based on its economic and financial feasibility, provides the following details: The plan includes initial preparation costs of IDR 1,124,659,690,000, infrastructure costs of IDR 236,390,000,000, general facility costs of IDR 235,315,000,000, and basic infrastructure costs of IDR 800,000,000,000.
Geographic Information System (GIS) Based Map Making Training in Desa Jejangkit Muara, Kabupaten Barito Kuala
Authors: Muhtar Ghinia Anastasia , Ajeng Ajeng , Ahmad Sukmawati , Khotimah Syarifah Khusnul , An-nafi Anastasya Rosyidah
Published: January 2025

Desa Jejangkit Muara is located in Kabupaten Barito Kuala, Provinsi Kalimantan Selatan. In 2021, a flood disaster occurred, affecting 11 regencies/cities in Provinsi Kalimantan Selatan. Furthermore, in 2023, the forest and land fire disaster significantly increased, with indications of the burned area reaching 190,394.60 hectares. This study aims to provide training measured by knowledge and skills. This training is based on the results of a field study conducted by the Geography Study Program, Lambung Mangkurat University. Village communities receive GIS training to enhance their comprehension of disaster-prone areas and reduce the risks associated with fires and floods. This study employs the univariate method, which involves calculating the frequency of numbers using field-measured and calculated primary data. Research activities include training in introducing Geographic Information Systems (GIS), mapmaking, layout design, and satellite image processing using the Normalized Burn Ratio (NBR) and overlay methods. The evaluation results indicated a significant improvement in the participants' knowledge and skills during the SIG 1 training, with an average score of 57, compared to 66 and 69 for the first and second examiners, respectively. In SIG 2 training, the average was 63, while the skills of the first examiner were 60, and the second examiner was 50.  The results of SIG 3 training averaged 53, while the skills of the first examiner were 55 and the second examiner was 65. This study shows the importance of ongoing training to improve community disaster preparedness and resilience.
Comparison of Forecasting Model Using Chen and Lee High Order Fuzzy Time Series (Farmer’s Terms of Trade of Crops Subsector in Nusa Tenggara Timur Province Case)
Authors: Muzaki Fais , Agustina Neli
Published: January 2025

The farmer’s terms of trade of food crops subsector (NTPP) in Nusa Tenggara Timur Province has always been below 100 in 2019-2023. Food crops are a substantial agricultural subsector in which its contribution to the PDRB is significant and concerns the food adequacy of the region. NTPP is a proxy indicator to see farmers’ welfare and its value is expected to grow periodically. Therefore, predictive modeling is required to know future NTPP values and to know the purchasing power of food crop farmers. The aim of this research is to compare the accuracy of Chen and Lee model with the high order fuzzy time series for NTPP forecasting in Nusa Tenggara Timur Province. This research uses monthly data from NTPP Nusa Tenggara Timur from January 2016 to October 2024. The research results show that additions up to the 3rd order increase forecast accuracy and the Lee model is more accurate than the Chen model seen from the smaller RMSE and MAPE values. The MAPE values ​​of the 3rd order fuzzy time series Chen and Lee model are 0.5453% and 0.5088% respectively. Based on the MAPE value, the 3rd order Lee model is the most accurate in forecasting NTPP in Nusa Tenggara Timur Province.
Optimizing Credit Scoring Performance Using Ensemble Feature Selection with Random Forest
Authors: Fauziah Ana
Published: January 2025

Credit scoring has a very important role in the financial industry to assess the eligibility of loan applicants and mitigate credit risk. However, the main challenge in credit scoring modeling is the large number of features that need to be considered. Feature selection becomes an inevitable step to improve model performance. This research proposes the use of hybrid ensemble boosting techniques through XGBoost, LightGBM, and CatBoost methods, as well as aggregation techniques for feature selection, the results of which are then used to build predictive models using Random Forest. Experimental results show that the aggregation technique using feature slices selected by the three methods provides the best model with the least number of features, which is only about 11% of the total features. The use of fewer features not only increases the computational speed and efficiency of the model but also improves the generalization ability, which allows the model to perform better on new data. In addition, this model shows the smallest difference between train accuracy and mean cross-validation score, indicating high model stability and reliability.
Kidney Histopatology of Mice (Mus musculus) Infected with Trypanosoma evansi and Distributed Garlic Extract (Allium sativum)
Authors: Ris Adryani , Alni Nurul Istiana , Sari Dwi Kesuma , Rasdiyanah  , Nur Muh Muflih
Published: January 2025

evansi is a blood parasite that is responsible for the occurrence of surra disease or also known as trypanosomiasis. The T. evansi cells are able to be damaged by the Allicin content of garlic. In the kidney itself, the parts that affect in the case of infection are namely tubules and glomerulus and can be identified through histopathology inspection by taking into account the level of damage. This research is aimed at studying the figure of mice kidney histopathology (M. musculus) that has been being infected by T. evansi and being distributed by garlic extract (A. sativum) with graded dose then compared to the distribution of commercial drug Tryponil. The samples used in this study were 30 mice with 6 treatment groups. P0 group was not infected by T. evansi, P1 group was infected by T. evansi without treatment, P2, P3, and P4 group respectively were infected by T. evansi and distributed garlic extract with 1,4 mg, 2,8 mg, and 5,6 doses respectively. In other hand, P5 group was distributed commercial drug namely Tryponil. The extraction method was through maserasi method. The distribution of the treatment was done in 3 days, euthanized and necropsied on mice in the purpose of organ harvesting for histology sampling with embedding method, blocking, and hematoxylin eosin coloring. The results showed that the closest to the distribution of commercial drug was the distribution of 5,6 mg dose (high dose), where both the treatments showed the result that the damage was not much, then followed by the distribution of 2,8 mg dose (fair dose) and 1,4 mg dose (light dose).
The Effect of Tamarilo Katarrung (Chypomandra betaceae) Extract Changes on Histology Description of the Testis of White Rats (Rattus norvegicus l) Wistar Strains Induced by Gentamicin
Authors: Bahmid Nur Alif
Published: January 2025

Gentamicin is an antibiotic from the aminoglycoside group that works by inhibiting protein synthesis but has side effects such as nephrotoxicity and ototoxicity and can induce oxidative stress in the testes. Oxidative stress is when the number of free radicals increases or the amount of antioxidants decreases. Oxidative stress induction in the testes has a degenerative effect on the testes, so the normal function and structure are disturbed. Dutch eggplant is one of the natural antioxidants that have the potential to protect cells from damage caused by oxidative stress. The utilization of this fruit extract has been proven to have secondary metabolic components in the form of phenols, flavonoids, anthocyanins, and carotenoids, which are antioxidants. This study aimed to examine the effect of tamarillo katarrung extract on the histology of the testes of gentamicin-induced Wistar rats. The research was conducted at the Integrated Laboratory of Animal Clinic Education, Hasanuddin University, Makassar. The sample used in this study amounted to 20 white rats of the Wistar strain, which were divided into four groups. The negative control group (K-) was untreated rats, and the positive control group (K+) was given gentamicin 20mg/kg BW induction for 11 days. The first treatment group (P1) was given tamarillo katarrung extract 200mg/kg BW for 14 days and gentamicin 20mg/kg BW for 11 days, while the second treatment (P2) was given tamarillo katarrung extract 200mg/kg BW for 14 days and gentamicin 20mg/kg BW for 11 days. The results showed a significant difference (p<0.05) between groups K+ and K-, P1 and P2. The histological description of the rat testes with the Johnson score shows that the tamarillo katarrung extract can defend testicular tissue from damage due to oxidative stress with the most optimal dose of 200 mg/kg BW.
Keywords: tamarillo katarrung, antioxidant, gentamicin, rat
Automatic formed cotton buds delivery agent of antiparasitic drugs from Annona muricata leaves as a preventive and curative therapy towards Otodectes cynotis infection in pets: An in vivo proof of concept study
Authors: Jamaluddin Abdul Wahid , Ciputra Lyvia Angeline , Mappiara Muhammad Afiq S. , Minarfa Tiara S , Rizal Yuki Nurindar
Published: January 2025

The practice of keeping pet animals have gained popularity in society, with the owning number of pets that reach 67%, particularly 37% for cats and 16% for dogs. Since animals have been considered family members nowadays, keeping them means that the owner is willing to contribute to maintaining their health and hygiene, which is crucial to prevent the spread of diseases that can affect both the pet and their owner. One common issue in animal health is the infection caused by the ear mite called Otodectes cynotis, which can lead to external ear canal inflammation. Current treatment for Otodectes cynotis infection is utilizing the topical application of synthetic drugs that contain antiparasitic synthetical drugs inside such as ivermectin and doramectin, due to the potential side effects and the threat caused by the tight therapy dose index in antiparasitic drugs, the alternative treatments including modified cotton buds and the use of herbal remedies have been developed to upgrade, to solve and to invent the novelty of science. This research aims to prove the hypothesis of the effectiveness of soursop leaf extract in eradicating Otodectes cynotis in animals, prescribing the required concentration to generate effective results yet to investigate the potential of modified cotton buds as a product of equipment. The outcomes of this study are expected to facilitate the development of knowledge in parasitic drugs and herbal medicine substitutes yet to innovate the more practical way to perform drug therapy for external otitis in pet animals caused by Otodectes cynotis
Development of dyslipidemia in patients after complex treatment of central nervous system tumors in childhood
Authors: Novikova A. I. , Pavlova M. G. , Potemkina N. A. , Fadeev L. B. , Poltavskaya M. G.
Published: January 2025

Aim. To assess the impact of comprehensive anticancer therapy on lipid and hormonal profile markers in individuals who underwent treatment for central nervous system (CNS) tumors during childhood.

Material and methods. A single-center, cross-sectional study included 48 patients who underwent surgical, chemotherapeutic, and radiation treatment for CNS tumors in childhood. Lipid and hormonal profiles were analyzed.

Results. In young patients (21.7±4.3 years) who had undergone comprehensive treatment, including surgery, chemotherapy, and cranial radiation for CNS tumors in childhood, the cumulative cranial dose of radiation therapy was found to be an independent predictor of dyslipidemia development and low-density lipoprotein cholesterol (LDL-C) levels >3,0 mmol/l. Correlation analysis revealed a positive relationship between LDL-C level and the cumulative cranial dose (r=0.414; p=0.007). Statistically significant correlations were also observed between total cholesterol (TC) values and insulin-like growth factor-1 (IGF-1) (r=-0.41; p=0.028), LDL-C and IGF-1 (r=-0,44; p=0,028), very-low-density lipoprotein cholesterol and somatotropin (r=-0.44; p=0.033). Furthermore, LDL-C level was associated with changes in thyrotropine (TSH) (r=-0.39; p=0.017), and VLDL-C was correlated with TSH (r=-0.42; p=0.016).

Conclusion. Patients who underwent complex treatment of CNS tumors in childhood demonstrated a high frequency of dyslipidemia associated with the cumulative cranial dose of radiation therapy. Considering the presence of endocrinological disorders, in particular somatotropic insufficiency and hypothyroidism, their influence on dyslipidemia development can be assumed. The potential influence of glucocorticoid therapy during oncological treatment on lipid profiles cannot be ruled out. These findings support the necessity of developing practical recommendations for dynamic follow-up of patients who have undergone comprehensive treatment for malignant CNS tumors during childhood, to ensure timely detection of cardiovascular diseases.
Analisis Persepsi Mahasiswa Pendidikan Kimia Terhadap KualitasLaboratorium Kimia Kampus
Authors: Lathifah Arini Izzataki , Dwi M Habstianing , Siti Fauziah Endah , Suryani Elma , Lisdiana Hayyun
Published: January 2025

This study aims to analyze the perceptions of Chemistry Education students toward chemistry laboratories on campus. Researchers used the Chemistry Laboratory Environment Inventory (CLEI) questionnaire to identify student perceptions. In the questionnaire, students must assess the actual conditions of the laboratory with their ideal laboratory. This study involved 70 Chemistry Education students from four different levels. Based on the results of the questionnaire, the researcher selected one student at each level to be interviewed. The interview aims to determine more about the degradation of student perceptions at each level about the state of the chemistry laboratory FMIPA UNJ. The CLEI instrument is considered reliable and can be used for further research. The results also show that there is no significant difference between student's perceptions of the actual quality of the laboratory and the ideal conditions they expect. There is also no difference in perception between first-year students and fourth-year students. The results of this study are expected to contribute to improving the quality of a better chemistry laboratory.
Solving PISA-like Quantity Content: Mathematical Literacy Students Viewed by Level of Mathematical Logic Intelligence
Authors: Elyasarikh Annisa Alvi , Masriyah Masriyah
Published: January 2025

Mathematical literacy related to problem-solving can be measured through PISA or PISA-like, which requires mathematical logic intelligence. Differences in levels of mathematical logical intelligence can result in varying levels of students' mathematical literacy. Therefore, the objective of this study is to describe the mathematical literacy of students based on the level of mathematical logic intelligence when it comes to solving PISA-like problems in quantity content. This study used a descriptive-qualitative approach. Purposive sampling was applied to select three students representing low, medium, and high levels of mathematical logical intelligence. The instruments used were a mathematical logic intelligence test, a PISA-like test, and interview guidance. Data reduction, data display, and making conclusions were data analysis techniques used in this study. The results indicate that a student with high mathematical logical intelligence met all indicators of mathematical literacy. A student with medium mathematical logical intelligence met only the 'formulate' indicator, while a student with low mathematical logical intelligence did not meet any indicators. Teachers can utilize the study's findings to build learning experiences that can improve mathematical literacy of students in solving both PISA and PISA-like problems based on their level of mathematical logic intelligence.

 

Literasi matematis berkaitan dengan pemecahan masalah dapat diukur melalui PISA atau PISA-like yang memerlukan kecerdasan logis matematika untuk menyelesaikannya. Perbedaan tingkat kecerdasan logis matematis memungkinkan perbedaan literasi matematis siswa. Oleh karena itu, tujuan penelitian ini adalah mendeskripsikan literasi matematis siswa berdasarkan tingkat kecerdasan logis matematis dalam menyelesaikan soal PISA-like konten bilangan. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Tiga siswa dipilih secara purposive sampling yakni subjek yang memiliki kecerdasan logis matematis tinggi, sedang, dan rendah. Instrumen yang digunakan adalah tes kecerdasan logis matematis, tes PISA-like, dan pedoman wawancara. Analisis data penelitian ini mencakup reduksi data, penyajian data, dan penarikan kesimpulan. Temuan penelitian menunjukkan bahwa siswa dengan tingkat kecerdasan logis matematis tinggi mampu mencapai semua indikator kemampuan literasi matematis, siswa dengan tingkat kecerdasan logis matematis sedang hanya dapat mencapai kemampuan formulate, sedangkan siswa dengan tingkat kecerdasan logis matematis rendah tidak mampu mencapai semua kemampuan literasi matematis. Guru dapat memanfaatkan temuan penelitian ini sebagai bahan untuk merancang pembelajaran yang dapat meningkatkan literasi matematis siswa dalam memecahkan masalah PISA maupun PISA-like berdasarkan tingkat kecerdasan logis matematis siswa.
Moffett Field Naval Chapel (Building 86) and boiler house (Building 87) : historic materials maintenance manual
Authors: Fuelberth August , Murphey Joseph , Baxter Carey , Smith Adam
Published: January 2025

The Moffett Field Naval Chapel and boiler house are located on the Moffett Federal Airfield, Santa Clara, California. Constructed circa 1945, both buildings are eligible for the National Register of Historic Places (NRHP) under Criterion A for associations with the post–WWII Moffett Field expansion and under Criterion C as a representative example of Navy Bureau of Yards and Docks chapel construction and as a true representative example of the Spanish colonial revival style in the region. Their period of significance is 1945–1986, before major renovations were completed at the site. All buildings, especially historic ones, require regular planned maintenance and repair. The most notable cause of historic building element failure or decay is not the fact that the historic building is old, but rather it is caused by incorrect or inappropriate repair and basic neglect of the historic building fabric. This document is a maintenance manual compiled with as-is conditions of construction materials of the Moffett Field Naval Chapel. The Secretary of Interior Guidelines on rehabilitation and repair per material are discussed to provide a guide to maintain this historic building. This report satisfies Section 110 of the National Historic Preservation Act (NHPA) of 1966 as amended and will help to manage this historic building.
Near-Fault Tilted Deformation of Buildings Associated with Coseismic Surface Ruptures in the Shenxigou Section, 2008 Mw 7.9 Wenchuan Earthquake, Eastern Tibet
Authors: Xue Hao , Wang Hu , Deng Lin , Li Kaijin , Cai Jinlong
Published: January 2025

The coseismic surface ruptures associated with large earthquakes contribute to severe damage to near-fault buildings through fault deformation. However, previous studies simplified geological conditions and were based mainly on numerical and physical simulations. In other words, the scarcity of large earthquakes, especially for active thrust faults, limits the understanding of the mechanisms of building damage near active faults. Herein, the study selected the 2008 Mw7.9 Wenchuan earthquake as an example. Based on compass measurements, unmanned aerial vehicle data, ground-based lidar mapping, and numerical simulation, the study showed that twelve buildings within the two sides of the fault were damaged by tilted deformation. The study suggests that the closer the buildings are to the fault, the greater the tilted deformation of the buildings. Moreover, the degree of tilted deformation of the buildings on the hanging wall is significantly greater than that on the footwall, indicating an asymmetric characteristic. Furthermore, the azimuth of the tilted deformation of all buildings is consistent toward the northwest and nearly perpendicular to the strike of the coseismic surface rupture, which indicates that the tilted damage to the buildings might be primarily influenced by the thrust deformation. In addition, the simulation results reveal that parameters such as the distance from the fault, angle of the fault, thickness and strength of the sediment can affect the tilted deformation of near-fault buildings. The results enable us to better understand the influence mechanisms of the tilted damage of near-fault buildings and provide a scientific basis for the avoidance of active thrust faults.
Insulator phases of Bose-Fermi mixtures induced by intraspecies next-neighbor interactions
Authors: Gómez-Lozada Felipe , Franco Peñaloza Roberto , Silva-Valencia Jereson
Published: January 2025

We study a one-dimensional mixture of two-color fermions and scalar bosons at the hardcore limit, focusing on the effect that the intraspecies next-neighbor interactions have on the zero-temperature ground state of the system for different fillings of each carrier. Exploring the problem’s parameters, we observed that the nearest-neighbor interaction could favor or harm the well-known mixed Mott and spin-selective Mott insulators. We also found the emergence of three unusual insulating states with charge density wave (CDW) structures in which the orders of the carriers are out of phase between each other. For instance, the immiscible CDW appears only at half-filling bosonic density, whereas the mixed CDW state is characterized by equal densities of bosons and fermions. Finally, the spin-selective CDW couples the bosons and only one kind of fermions. Appropriate order parameters were proposed for each phase to obtain the critical parameters for the corresponding superfluid-insulator transition. Our results can inspire or contribute to understanding experiments in cold-atom setups with long-range interactions or recent reports involving quasiparticles in semiconductor heterostructures.
Comparison of lean cellular manufacturing organization models: Multiple case study analysis
Authors: Bajrić Hadis , Ferizbegović Faris , Begić-Pecar Mirela
Published: January 2025

Cellular manufacturing represents a production system arrangement in which machines, tools, workers, and devices are grouped to produce a single product or a group of products with similar production requirements. By implementing cellular manufacturing, it is possible to significantly influence the elimination of the seven types of Lean waste: transport, inventory, unnecessary motion, waiting, overproduction, overprocessing, and defects. There are various models of a cellular manufacturing organization, and some of the most widely used and studied include the Toyota Sewing System, Bucket Brigades, Working Balance, and Rabbit Chase. This paper aims to present different types of lean cellular manufacturing organizations. By reviewing the literature, the advantages and disadvantages of individual types of cellular manufacturing will be systematized. In the practical part of the paper, the theoretical assumptions will be confirmed, and the impact and robustness of individual types of cellular manufacturing will be explored in different situations. Simulations were performed in real conditions on real products to demonstrate the efficiency of individual types of cellular manufacturing organizations depending on the duration of technological operations. The goal was also to examine the robustness of individual types of cellular organization in case of the absence of certain operators or insufficiently trained operators. The criteria used to compare different cellular models were productivity, non-conformance, WIP inventory, time to deliver the first correct piece, and flow time. Simulations were performed for the Toyota Sewing System, Bucket Brigade, Working Balance, and Rabbit Chase cellular manufacturing concepts. The simulation results indicate significant differences in the performance of individual concepts, where the difference in some criteria can reach up to 100%.
A survey about deep learning and federated Learning in cyberse-curity
Authors: Tareq Imad , Elbagoury Bassant M. , El-Regaily Salsabil , El-Horbaty El-Sayed M.
Published: January 2025

Advances in Artificial Intelligence (AI) technology have led to the strengthening of traditional systems' cybersecurity capabilities in a variety of applications. However, these embedded machine learning models have exposed these systems to a new set of vulnerabilities known as AI assaults. These systems are now attractive targets for cyberattacks, jeopardizing the security and safety of bigger systems that include them. As a result, DL approaches are critical to transitioning network and system protection from providing safe communication between systems to intelligence systems in security. Federated learning (FL) is a new kind of AI based on heterogeneous datasets and decentralized training. FL is a unique research topic that is currently in its early phases. It has not yet gained wide acceptance in the community, owing mostly to privacy and security considerations. In this research, we first shed light on its privacy and security risks that must be discovered, analyzed, and recorded. FL is favored in scenarios where privacy and security are paramount issues. An extensive understanding of risk factors allows an FL adopter and implementer to construct a safe environment successfully while giving researchers a clear perspective of possible study domains. The survey in this paper intends to include an analysis of cybersecurity and DL approaches and modern advances to improve enhanced protection methods. It proposes a complete examination of FL's security and privacy issues to assist in bridging the gap between the current level of federated AI and a future in which broad adoption is achievable. We also propose a range of cybersecurity datasets and the most recently used rating standards.
The influence of corporate governance and Shariah governance on insolvency risk: Evidence from developing market
Authors: Mebid Al Jammas Raya Idan , Mohd Syajarul Imna , Abdul-Rahman Aisyah , Ghazali Mohd Fahmi
Published: January 2025

The goal of the study was to determine how corporate governance and Sharia governance affected the risk of insolvency in banks located in Iraq and the Gulf Cooperation Countries (GCC). The moderating influence of foreign ownership in banks on the association between the two levels of governance and bankruptcy risk was also examined in this study. For the years 2012–2021, the study covered 70 banks listed in Iraq and the seven GCC countries. Three distinct regression models were utilized in the study: ordinary least squares, variable effect model, and fixed effect model. To select the best model and discover the analysis's findings, a comparison of the models was done. The findings showed that insolvency risk and corporate governance had a negative association. While there was no effect of Sharia governance on insolvency risks. The study found that foreign ownership also plays a major role in the interaction. The study provides a valuable unified indicator through which corporate governance and Sharia law can be measured in the GCC and Iraq. It gives decision-makers an accurate view of the risks of insolvency and ways to control them.
Advanced detection and discrimination of power transformer internal faults from other abnormal condition using DWT-based feature extraction and ANN classification
Authors: Alhamd Qusay , Saniei Mohsen , Seifossadat Seyed Ghodratolah
Published: January 2025

Power transformers are one of the most critical elements of the electrical Power System because of the aforementioned function in the voltage regulation and power supply. It is very important in the field of power engineering to be able to differentiate the inrush currents caused due to the energization of the transformer from the internal fault currents created in the transformer. This paper represents an efficient approach to solving this issue by employing DWT feature extraction and ANN classification. This approach is based on the determination of waveforms by distinguishing the D4 and D5 coefficients of instantaneous differential currents using DWT. These coefficients present much useful information related to the waveform type, making it possible to differentiate between the inrush and the internal fault currents. This is a key factor when making classification in that these criteria are related to the energy content involved within these coefficients. This energetic approach forms the basis for the ANN controller to determine particular decisions about the quality of the current. This proposed approach is supported with simulation to represent empirical data in supporting the use of this approach. The results always confirm the efficiency of such an approach to the differentiation between inrush and internal fault currents with a high percentage of accuracy. The effectiveness of this method goes beyond accuracy as it is reliable, responds quickly to abnormal conditions, and can be applied to a variety of power transformer types. Applying this concept in real grid power systems can lead to increased reliability and less downtime thereby strengthening the electrical system as a whole. The reliability and safety of power transformers remain a critical concern in power engineering. The present paper proposes a new method to improve power transformer protection for differentiating internal faults from other abnormal situations. The method described herein utilizes advanced signal processing and machine learning with the help of DWT and ANN to reach higher standards of accuracy and reliability.
Comparative approach between traditional banking marketing and participative banking marketing
Authors: Jihad Benatia , Oussama Bourkiza
Published: January 2025

The efficient treatment of anxiety-related disorders and memory recall is significant, regarding the occurrence of these disorders and their relationship with poor psychology operational. Thus, this study aims to measure the modern evidence on the efficacy of CBT on anxiety- disorders and memory recall in elderly in Amman, Jordan. Quasi-experimental intervention was conducted combined with qualitative approach. Purposive sampling method was used to sample 46 elderly resident in Amman. Feedback and observation were used to collect qualitative data. The tests of “The State-Trait Anxiety Inventory” (STAI), “Rey Auditory Verbal Learning Test” (RAVLT), and Narrative Recall Assessment (NRA) were used to collect the data. SPSS 25.0 and NVivo software analyzed the data.   The findings show that the Cognitive Behavioral Therapy program has a positive effect on anxiety decreasing, memory function and recalling in elderly people. Three major themes emerged “improved coping, increased confidence, positive engagement”. The positive findings highlight the importance of personalized CBT interventions in improving mental health among elderly people residing within an institutionalized care setting. The study contributions, recommendations, and future directions were explained at the end of the study.
Study of the impact of special educational programmes on the psycho-emotional well-being of students
Authors: Iskakova Mira , Kaldygozova Sandugash , Ussenova Akkenzhe , Junissova Ainura , Shomanbaeva Almira
Published: January 2025

The purpose of the study is to investigate the impact of special educational programmes on the psychological and emotional development of higher education students. To achieve this goal, survey methods were used (200 participants). The method of content analysis was used to study the scientific literature on this issue. The results show that the use of modern programmes has led to a number of organisational challenges related to ensuring a stable Internet connection and limited opportunities to acquire practical skills that are important for many specialities. This situation caused particular anxiety among students. The study showed that students generally have a positive perception of the use of modern technologies and methods. However, there are also negative aspects of constant interaction with the digital environment, such as atomisation, problems with soft skills development, the risk of emotional burnout, etc. Overcoming these challenges is possible through the evolution of the organisation of the educational process. The creation of smaller academic groups of students provides opportunities for deeper interaction and the development of relevant communication skills. The conclusions emphasise that the development and implementation of new methods that can quickly adapt to modern educational environments is a promising area for further research.
Using numerical simulations for estimating the influence of different parameters of long rod kinetic energy penetrators
Authors: Catovic Alan , Razic Faruk
Published: January 2025

Simulations were performed with long rod kinetic energy penetrators to characterize important parameters used. Hohler & Stilp's experimental results served as the initial validation for the numerical model. Additionally, using numerical simulations, the impact of various (possible) penetrator materials on their penetration depth is illustrated. Additionally, the effects of using a steel jacket (sheath) over the penetrator and the penetrator fineness ratio (L/D) were examined. Research showed that the choice of penetrator material can significantly affect the penetrator's effectiveness. With a penetrator of depleted uranium alloy (0.75% titanium), the maximum penetration depth was attained. It was shown that when increasing the penetrator fineness, the increase in penetrator length has a large influence on penetration depth. Decreasing the penetrator diameter the penetration depth is also decreased. Numerical simulations also showed that to minimize penetration degradation, the penetrator jacket must be relatively thin.
A big data approach to risk management and control: Cybersecurity in accounting
Authors: Halachev Petar
Published: January 2025

This research reviews into the critical interplay between big data applications and cybersecurity risks within the accounting sector. Aimed at understanding how big data can mitigate these risks, the study develops a novel theoretical model using differential equations. This model, rooted in a thorough empirical approach, undergoes validation through logistic regression analysis of responses from 200 participants. The analysis particularly focuses on how demographic and socio-economic factors influence cybersecurity perceptions. Data Breach Consistency emerges as a key factor, evidenced by a coefficient of 1.204 and an odds ratio of 3.331, indicating a substantial link between the recognition of data breaches and increased cybersecurity concerns. Malware and Ransomware concerns demonstrate a notable impact, with a coefficient of 0.907 and an odds ratio of 2.477, underscoring the gravity of these threats. Results further highlight the mitigating influence of Big Data Mitigation on cybersecurity risks, marked by a coefficient of 0.491. The robustness of the model is affirmed by an Area Under the Curve (AUC) score of 0.843, attesting to its efficacy in predicting cybersecurity concerns. The findings highlight the vital role of big data in formulating effective cybersecurity strategies. This study not only contributes to the academic discourse on the intersection of big data and cybersecurity in accounting but also offers practical insights for enhanced decision-making and policy formulation in the evolving digital business environment.
The impact of good governance on integrated reporting in Iraqi banks
Authors: Al-Hachami Ali Mohammed Askar , Mabrouk Houda Ben
Published: January 2025

In natural sciences, corporate governance is essential for research institutions, ensuring transparency, accountability, and ethical conduct in scientific endeavors. For instance, in environmental science, good governance practices can help in the conservation of natural resources and the protection of ecosystems. The study mentioned emphases on the correlation between good governance and the quality of integrated reports in Iraqi banks. This has implications for engineering and natural sciences as well. By emphasizing the importance of governance in financial institutions, the study highlights the significance of accountability, transparency, and ethical practices in all sectors. Moreover, the role of the board of directors in defining strategies and promoting best practices can be applied to various industries, including engineering projects and scientific research. Overall, the outcomes for this paper underscore the importance of good governance practices in fostering organizational success and promoting a holistic view of operations. By incorporating these principles into engineering and natural sciences, organizations can enhance their performance, credibility, and impact on society.
The quality of disclosure of accounting information and its impact on financial performance and its determinants based on accounting information systems: A study on a sample of companies listed on the Iraqi stock exchange
Authors: AL-Swaidawi Mohammed Mushref Hammad , BenMabrouk Houda
Published: January 2025

The study aimed to understand and clarify the quality of disclosure of accounting information and its impact on financial performance in many companies including technological and engineering companies and its determinants by relying on accounting information systems, where the independent variable represents the quality of disclosure of accounting information in its dimensions: (disclosure of social and environmental responsibility, disclosure of internal control items and audit operations, disclosure of information future, and disclosure of financial information), and the dependent variable is financial performance and its determinants. The research community consisted of Iraq Stock Exchange companies, and the companies with the highest market value were selected and were represented by five companies: (Zain Iraq, Asia Cell, Bank of Baghdad, Baghdad Soft Drinks Company Pepsi Baghdad, National Bank of Iraq), where 350 questionnaires were distributed to A group of employees, experts, and investors collected data on the variables of the study. A random sampling equation was used to determine the sample size necessary to obtain accurate and reliable results. 345 questionnaires were retrieved, suitable for analysis. The descriptive analytical approach was adopted to achieve the objectives of the study. The most important of which is: a positive evaluation of the quality of accounting disclosure, with room for improvement. The positive evaluation indicates awareness among companies of the importance of transparency and accountability in enhancing trust between them and investors and shareholders. The positive evaluation also shows companies' efforts to apply international accounting standards and provide accurate and reliable financial information. The reason for this assessment is the adoption of international accounting standards and effective supervision by regulatory authorities.
Social network data as a tool for engineering consumer behavior analysis
Authors: Perevozova Iryna , Piasta Andrii , Dedelyuk Oleksandr , Babala Andriy , Chaikovskyi Andrii
Published: January 2025

Social networks can be used to carefully study how people act, focusing on how they can be used to understand and change people's decisions. A mixed-method approach is used for the study, which blends qualitative results from theories of customer behavior with quantitative analysis of Phoenix-area Yelp data. Many people visit the same place more often when they have friends who use sites like Yelp. It's 64% more likely for friends to go to the same place than for people who aren't friends. Studies of demographics show that females and younger people have lower levels of social power than older people and men. To deal with endogeneity and split the different groups of customers in the study, dyadic fixed effects models are used. These changes to the way studies are done help us get a better sense of how social impact works and make the results more reliable. What happened to marketing plans shows how important it is to focus on certain groups and share social ideas through high scores. There is also discussion about moral problems that come up with keeping data safe and being open. In general, this study helps us learn more about how to use social networks to study how people behave and shape modern marketing tactics.
Role of digital knowledge in employees’ capacity building in the Jordanian telecommunications companies
Authors: Almarashdah Manal Ali
Published: January 2025

The main objective was to define whether the usage of the digital knowledge can be useful in employees’ capacity enhancement in the Jordanian telecommunications companies. The research study employed the descriptive analytical approach, and the study sample included the employees in Jordanian telecommunications companies, 250 in number. Thus, the researcher used a sample that was random and was given a hundred and sixty administrators. The research tool was an online survey, the respondents of which were contacted through e-mail and (114) questionnaires were returned for statistical processing. However, the researcher applied some statistics, which include the inflation coefficients test of variance, the skewness coefficients, and the one-way ANOVA analysis. More specifically, the independent variable which includes the tech knowledge was deemed of great importance ranging from (4.22- 4.33) with the mean of the three projects at (4.26). The second highest mean pertained to the variable of the “knowledge creation and acquisition” the scores of which were set at (4.33). The analysis also indicated that the dimensions of the dependent variable namely employees’ capacity obtained a high importance score of (4.20-4.22) with a mean score of (4.21) while the variable of sensing capacity received a mean score of (4.22) Taking the lowest score was the focusing capacity mean score of (4.20). The study also noted the acceptance of the main hypothesis and its three sub-hypotheses as indicated by the findings. The study therefore suggests the need to work on popularizing digital culture among the employees and training and developing their skills to meet the requirement of digital knowledge to enable them to manage its ever evolving nature without resorting to programmers since it is integral to the business.
Assessment of the quality of curricula and educational technologies in vocational education in Ukraine in accordance with modern labor market requirements
Authors: Grynyov Roman , Vishnikina Liubov , Shukanov Pavlo , Dibrova Ivan , Fedіi Oleksandr
Published: January 2025

The objective of this study is to assess the quality of curricula and educational technologies in vocational education in Ukraine, with a particular emphasis on aligning them with the demands of the current labor market. The aim of the study is to identify the strengths and weaknesses of these curricula and provide recommendations for their improvement to increase the competitiveness of students in the labor market. The principal research methods utilized in this study were an analysis of the regulatory framework and content analysis of scientific publications. The results of the study show that the modern labor market significantly affects both the content of educational programs and the criteria for assessing the quality of educational technologies. The relevance of curricula to labor market needs is increasingly becoming a key criterion for the effectiveness of education. Additionally, international quality assessment approaches are being widely adopted. Consequently, the effectiveness of quality assessment in curricula and educational technologies is grounded in a combination of labor market analysis and international best practices in education quality evaluation.