bluuebunny/crossref_metadata_2025 huggingface dataset:
Noise Resilience of Successor and Predecessor Feature Algorithms in One- and Two-Dimensional Environments
Authors: Lee Hyunsu
Published: February 2025

Noisy inputs pose significant challenges for reinforcement learning (RL) agents navigating real-world environments. While animals demonstrate robust spatial learning under dynamic conditions, the mechanisms underlying this resilience remain understudied in RL frameworks. This paper introduces a novel comparative analysis of predecessor feature (PF) and successor feature (SF) algorithms under controlled noise conditions, revealing several insights. Our key innovation lies in demonstrating that SF algorithms achieve superior noise resilience compared to traditional approaches, with cumulative rewards of 2216.88±3.83 (mean ± SEM), even under high noise conditions (σ=0.5) in one-dimensional environments, while Q learning achieves only 19.22±0.57. In two-dimensional environments, we discover an unprecedented nonlinear relationship between noise level and algorithm performance, with SF showing optimal performance at moderate noise levels (σ=0.25), achieving cumulative rewards of 2886.03±1.63 compared to 2798.16±3.54 for Q learning. The λ parameter in PF learning is a significant factor, with λ=0.7 consistently achieving higher λ values under most noise conditions. These findings bridge computational neuroscience and RL, offering practical insights for developing noise-resistant learning systems. Our results have direct applications in robotics, autonomous navigation, and sensor-based AI systems, particularly in environments with inherent observational uncertainty.
Lightweight CNN-Based Visual Perception Method for Assessing Local Environment Complexity of Unmanned Surface Vehicle
Authors: Li Tulin , Zhang Xiufeng , Huang Yingbo , Yang Chunxi
Published: February 2025

Addressing the problem of inadequate environmental detection in the process of optimizing search for unmanned surface vehicles (USVs) by a heuristic algorithm, this paper proposes a comprehensive visual perception method that combines a lightweight convolutional neural network (CNN) with the USV’s real-time heading angle. This method employs a multi-feature input CNN with residual learning blocks, which takes both the current local environmental images and heading angle features as inputs to identify the complexity of the local environment with higher accuracy and a smaller load size. Meanwhile, human expertise is incorporated to classify labels through a majority voting system, thereby making the model’s perceptual classification more intuitive and allowing it to possess a human-like comprehensive perception ability compared to systems with classification methods with several parameters. Subsequently, this identification result can be used as feedback for the heuristic algorithm to optimize and plan the USV’s path. The simulation results indicate that the developed model achieves an 80% reduction in model size while maintaining an accuracy exceeding 90%. The proposed method significantly improves the environment recognition capability of the heuristic algorithm, enhances optimization search efficiency, and increases the overall performance of path planning by approximately 21%.
Non-Sikkim Cucumber Accessions Resistant to Downy Mildew (Pseudoperonospora cubensis)
Authors: Hammer Rivka S. , Cohen Yigal
Published: February 2025

Downy mildew caused by the oomycete Pseudoperonospora cubensis is a devastating disease of cucurbits. Cucumis species are attacked by pathotype 3 (clade 2) of the pathogen, while Cucurbita species are attacked by pathotype 6 (clade 1). The Sikkim-type cucumbers PI 197088 and PI 330628 express high levels of resistance against both pathotypes (clades) of the pathogen but no green-fruit cucumber cultivars resistant to the disease are available on the market. Here we report on several non-Sikkim accessions of cucumber that show resistance against downy mildew in four consecutive seasons. Mean % foliage attacked with downy mildew in the susceptible controls Ilan and SMR-18 was 93% and 71%, respectively, as against 0.2% and 1.8% in the Sikkim-type resistant controls PI 197088 and PI 330628, respectively. Twenty-four green fruit accessions were significantly more resistant than the susceptible cucumber controls. Five accessions showed less than 10% infected leaf area with downy mildew as follows: PI 432870—5%, PI 390266—7.5%, PI 418964—8.5%, PI 390258—8.8%, and G12—10%. PI 390258 and PI 390266 were susceptible to race 1 of powdery mildew but resistant to race 2, whereas PI 418964 was resistant to both races. These accessions may be used in breeding programs to accelerate the production of green-fruit, disease-resistant cucumbers.
Exploring Chicken Feathers as a Cost-Effective Adsorbent for Aqueous Dye Removal
Authors: Caovilla Marcela , Oro Carolina E. Demaman , Mores Rúbia , Venquiaruto Luciana D. , Mignoni Marcelo L. , Di Luccio Marco , Treichel Helen , Dallago Rogério Marcos , Tres Marcus V.
Published: February 2025

This study explored the use of chicken feathers, a low-cost and abundant agricultural byproduct, as a sorbent for the removal of reactive yellow dye from aqueous solutions. The dual potential of feathers as both adsorbents and sorbents, attributed to their keratin-rich structure, was utilized to investigate their effectiveness in dye removal. Feathers, activated with 1.0 mol/L HCl, exhibited a maximum adsorption capacity at 70 °C and pH 5.5, as determined from Langmuir isotherm modeling. A 22 central composite rotatable design revealed that temperature and pH significantly influence the adsorption efficiency, with higher temperatures favoring the process. Kinetic studies demonstrated pseudo-first-order behavior, with rapid initial adsorption reaching equilibrium within 120 min. Thermodynamic analysis confirmed the endothermic nature of the process (ΔH° = 28.04 kJ mol−1), a positive entropy change (ΔS° = 66.62 J/mol·K), and a reduction in Gibbs free energy (ΔG°) with increasing temperature, suggesting enhanced feasibility at elevated temperatures. This research highlights the potential of utilizing poultry industry residues as sustainable and efficient sorbents for environmental remediation, contributing to waste valorization and eco-friendly wastewater treatment solutions.
Entropy and Statistical Complexity in Bioelectrical Signals: A Literature Review
Authors: Gómez Acosta Luis Gabriel , Chacón Pacheco Max
Published: February 2025

In biomedical engineering, Information Theory Quantifiers (ITQs) are used to analyze diseases by evaluating bioelectrical signals. This review article presents a meta-analysis to highlight the knowledge gap regarding the various perspectives and existing theories in this field. It intends to serve as an international reference, highlighting new opportunities for analysis in this field. Methodologically, it has gone through several stages: (i) the heuristic stage, which defined the characteristics of the documentary sample; (ii) the systematic classification and review of 70 texts using the Latent Dirichlet Allocation (LDA) model to identify topics; (iii) the hermeneutic analysis of seven thematic focuses; and (iv) the presentation of the final results. Among the findings are that continuous signals are analyzed discretely through sampling, probability distributions, and quantization, allowing entropy to be calculated. The complexity–entropy plane illustrates the relationship between disorder, organization, and structure in a system. It is concluded that the latter is useful to analyze bioelectrical signals in various diseases. However, its limited application in digestive disorders is evident, which highlights the need to integrate these concepts to improve their understanding and clinical diagnosis.
Communication with Disabled Fans at Sports Events: Approaches, Challenges, and Opportunities
Authors: Koželj Martin , Podbregar Iztok , Meško Maja , Nančovska Šerbec Irena
Published: February 2025

This study investigates how effectively European football clubs communicate and implement accessibility features for disabled fans, aiming to develop a comprehensive framework for evaluating these practices. Using a multi-phase research design, the study analyzes disability support systems through semi-structured interviews with representatives from eleven European football clubs and a systematic analysis of club documentation. The methodology combined traditional qualitative analysis with large language model (LLM)-assisted content analysis, enabling robust identification of thematic patterns and performance indicators. Our findings reveal significant disparities in disability support practices, with larger clubs demonstrating structured approaches through dedicated Disability Access Officers (DAOs) and comprehensive communication strategies. Analysis identified three distinct performance tiers: Elite Performers, primarily well-resourced clubs with advanced systems; Solid Performers, mid-tier clubs with established frameworks; and Developing Systems, smaller organizations with emerging support structures. We present a validated Fan Communication Model incorporating key weighted criteria, including infrastructure, dedicated personnel, engagement, specific adaptations, ticketing, challenge management, and feedback systems. This model provides a standardized framework for evaluating disability support communication in football organizations. The research demonstrates the importance of integrating technological solutions with human-centered approaches while maintaining universal design principles. Our findings contribute to the sports accessibility literature and provide evidence-based recommendations for football organizations seeking to enhance their communication with disabled fans.
Smart Education for Corporate Sustainability Reporting
Authors: Glavič Peter , Levičnik Helena , Szilagyi Aida , Zugasti Ibon , Schönfelder Thomas , Rosicki Marek , Ruzicka Pavel , Hajná Veronika
Published: February 2025

The European Union’s Corporate Sustainability Reporting Directive expanded its Non-Financial Reporting Directive requirements to companies with over 250 employees, mandating their sustainability reporting from 2025. This expansion will quadruple the number of companies subject to mandatory reporting, presenting new challenges for their managers and responsible employees. Companies will have to report according to the European Sustainability Reporting Standards. This article addresses gaps in vocational education and training (VET) programs related to sustainability knowledge and reporting. It aims to establish a unified approach for VET teachers and learners across the EU, preparing them for the evolving job market demands. The methodology ADDIE (Analysis/Design/Development/Implementation/Evaluation) was used to develop the curriculum and training. The research began by creating a knowledge repository and a questionnaire, focusing on current reporting practices and job requirements, and continued with preparing materials for the training course. The course encompassed six learning units: (1) European legislation and sustainability standards, (2) sustainability management, (3–5) environmental, social, and corporate dimensions, and (6) sustainability reporting. The initiative included multiplier (dissemination) events, pilot applications, and online course tests. To deliver the course effectively, an interactive e-learning platform was developed; gamification elements and other engaging activities were included to enhance learning outcomes.
Systematic Pelvic and Paraaortic Lymph Node Dissection in Advanced Ovarian Cancer—Technical Aspects and Current Evidence-Based Data for Clinical Decision-Making
Authors: Dumitrascu Traian
Published: February 2025

Cytoreductive surgery in the context of a multidisciplinary approach, including adjuvant and neoadjuvant therapy (when indicated), aims ideally to obtain complete resection and represents the cornerstone for long-term survival in patients with advanced ovarian cancer (AOC). Positive lymph nodes are a relatively frequent appearance during cytoreductive surgery for AOC and a widely accepted negative prognostic factor for long-term survival. However, the impact of systematic pelvic and paraaortic lymph node dissection (SPALND) on early and long-term outcomes in patients with cytoreductive surgery for AOC and no suspected positive lymph nodes remains highly controversial. The paper aims to review the relevant scientific literature exploring the role of SPALND in patients with AOC, focusing on peer-reviewed papers published before and after the LION study’s data release. The LION trial represents the only level 1 evidence study providing no scientific arguments for the routine using SPALND in AOC as part of complete cytoreductive surgery in patients without clinical suspicion of positive lymph nodes. The LION trial changed the practice of surgeons regarding SPALND, and current essential guidelines do not recommend it as a routine. Furthermore, SPALND may increase morbidity rates of cytoreductive surgery for AOC and negatively impact the patient’s quality of life. A comprehensive pelvic and paraaortic lymph node assessment is mandatory before and during cytoreductive surgery for AOC for proper disease staging, adequate management, and long-term prognosis. Further research is needed to identify patients with AOC at high risk for lymph node metastases; this group might benefit from SPALND.
Targeting Enterotoxins: Advancing Vaccine Development for Enterotoxigenic Escherichia coli ETEC
Authors: Salvador-Erro Josune , Pastor Yadira , Gamazo Carlos
Published: February 2025

Enterotoxigenic Escherichia coli (ETEC) is a major cause of diarrheal disease worldwide, particularly in children in low- and middle-income countries. Its ability to rapidly colonize the intestinal tract through diverse colonization factors and toxins underpins its significant public health impact. Despite extensive research and several vaccine candidates reaching clinical trials, no licensed vaccine exists for ETEC. This review explores the temporal and spatial coordination of ETEC virulence factors, focusing on the interplay between adherence mechanisms and toxin production as critical targets for therapeutic intervention. Advancements in molecular biology and host–pathogen interaction studies have uncovered species-specific variations and cross-reactivity between human and animal strains. In particular, the heat-labile (LT) and heat-stable (ST) toxins have provided crucial insights into molecular mechanisms and intestinal disruption. Additional exotoxins, such as EAST-1 and hemolysins, further highlight the multifactorial nature of ETEC pathogenicity. Innovative vaccine strategies, including multiepitope fusion antigens (MEFAs), mRNA-based approaches, and glycoconjugates, aim to enhance broad-spectrum immunity. Novel delivery methods, like intradermal immunization, show promise in eliciting robust immune responses. Successful vaccination against ETEC will offer an effective and affordable solution with the potential to greatly reduce mortality and prevent stunting, representing a highly impactful and cost-efficient solution to a critical global health challenge.
α-Latrotoxin Actions in the Absence of Extracellular Ca2+ Require Release of Stored Ca2+
Authors: Blackburn Jennifer K. , Islam Quazi Sufia , Benlaouer Ouafa , Tonevitskaya Svetlana A. , Petitto Evelina , Ushkaryov Yuri A.
Published: February 2025

α-Latrotoxin (αLTX) causes exhaustive release of neurotransmitters from nerve terminals in the absence of extracellular Ca2+ (Ca2+e). To investigate the mechanisms underlying this effect, we loaded mouse neuromuscular junctions with BAPTA-AM. This membrane-permeable Ca2+-chelator demonstrates that Ca2+e-independent effects of αLTX require an increase in cytosolic Ca2+ (Ca2+cyt). We also show that thapsigargin, which depletes Ca2+ stores, induces neurotransmitter release, but inhibits the effect of αLTX. We then studied αLTX’s effects on Ca2+cyt using neuroblastoma cells expressing signaling-capable or signaling-incapable variants of latrophilin-1, a G protein-coupled receptor of αLTX. Our results demonstrate that αLTX acts as a cation ionophore and a latrophilin agonist. In model cells at 0 Ca2+e, αLTX forms membrane pores and allows the influx of Na+; this reverses the Na+-Ca2+ exchanger, leading to the release of stored Ca2+ and inhibition of its extrusion. Concurrently, αLTX stimulates latrophilin signaling, which depletes a Ca2+ store and induces transient opening of Ca2+ channels in the plasmalemma that are sensitive to inhibitors of store-operated Ca2+ entry. These results indicate that Ca2+ release from intracellular stores and that Ca2+ influx through latrophilin-activated store-operated Ca2+ channels contributes to αLTX actions and may be involved in physiological control of neurotransmitter release at nerve terminals.
Malaria in Nepal: A Spatiotemporal Study of the Disease Distribution and Challenges on the Path to Elimination
Authors: Awasthi Kiran Raj , Jancey Jonine , Clements Archie C. A. , Alene Kefyalew Addis , Thapa Suman , Ghimire Pramin , Leavy Justine E.
Published: February 2025

Malaria incidence (MI) has significantly declined in Nepal, and this study aimed to investigate the spatiotemporal distribution and drivers of MI at the ward level. Data for malaria cases were obtained from the National Surveillance System from 2013 to 2021. Data for covariates, including annual mean temperature, annual mean precipitation, and distance to the nearest city, were obtained from publicly available sources. A Bayesian spatial model was used to identify factors associated with the spatial distribution of MI. Between 2013 and 2021, 7278 malaria cases were reported in Nepal, with a crude incidence rate of 3.0 cases per 100,000 person-years at risk (PYR). MI showed a seasonal variation, with the highest number of cases reported between May and September. The annual MI decreased in recent years from 1.9 per 100,000 PYR in 2018 to 0.1 per 100,000 PYR in 2021. Spatial clustering of MI was observed at the ward level, with most hotspot areas detected in the western Terai plains and upper river valley (URV) areas. Incidence was associated with annual mean precipitation in mm (β = 0.201; 95% CrI: 0.042, 0.360). The shift of the malaria hotspots to the URVs presents a challenge for implementing timely prevention and control activities.
Spatiotemporal Variations and Influencing Factors of Arid Inland Runoff in the Shule River Basin, Northwest China
Authors: Zhang Wenrui , Sun Dongyuan , Niu Zuirong , Wang Yike , Shu Heping , Wang Xingfan , Cui Yanqiang
Published: February 2025

Considering the possibility of increasing water supply in China in the short term and the long-term threat posed by shrinking glaciers, this paper studied the spatiotemporal evolution of runoff in typical arid areas and the influence of hydrometeorological elements on runoff, aiming to clarify the hydrological cycle law and provide a basis for adjusting water resource management strategies to cope with future uncertain changes. Based on hydrological data from 1956 to 2020, the spatial and temporal variation in runoff were discussed by means of wavelet analysis, MK test, RS analysis, and spatial interpolation. The influencing factors of runoff evolution in the Shule River Basin were determined. The results showed that the runoff in the Shule River Basin showed an increasing trend in the past 60 years. Five hydrological stations (Changmabao Station, Panjiazhuang Station, Shuangtabao Reservoir, Dangchengwan Reservoir, and Danghe Reservoir) were selected as the research objects. Among them, the runoff of Changmabao Station increased the most, which was 1.202 × 108 m3/10 a. Future projections suggest a continued rise in runoff, particularly at Shuangtabao Reservoir. The runoff exhibited positive persistence and varying degrees of mutation, with most mutations occurring in the early 21st century. The runoff in the basin has a periodicity of multiple time scales (there are 2–3 main cycles), and the main cycle of annual runoff is concentrated in 58 years. This comprehensive analysis provides valuable insights for the sustainable management of water resources in inland river basins amidst changing environmental conditions. The spatial variation in runoff in summer and autumn and the whole year showed a significant southeast to northwest decreasing pattern. During the study period, accelerated glacier melting caused by rising temperatures had the most significant impact on runoff change (p < 0.01), and the upstream of the study area also complied with this rule (temperature contribution rate [25.96%] > precipitation contribution rate [23.91%]). The contribution of temperature and precipitation changes caused by human activities in the middle stream to runoff was relatively large, which showed that the contribution rate of temperature in Guazhou Station to runoff was 34.23% and the contribution rate of precipitation in Dangchengwan to runoff was 60.27%. The research results provide a scientific basis for the rational and efficient utilization of water resources in the arid area of Northwest China.
Soil and Water Assessment Tool-Based Prediction of Runoff Under Scenarios of Land Use/Land Cover and Climate Change Across Indian Agro-Climatic Zones: Implications for Sustainable Development Goals
Authors: Subbarayan Saravanan , Youssef Youssef M. , Singh Leelambar , Dąbrowska Dominika , Alarifi Nassir , Ramsankaran RAAJ , Visweshwaran R. , Saqr Ahmed M.
Published: February 2025

Assessing runoff under changing land use/land cover (LULC) and climatic conditions is crucial for achieving effective and sustainable water resource management on a global scale. In this study, the focus was on runoff predictions across three diverse Indian watersheds—Wunna, Bharathapuzha, and Mahanadi—spanning distinct agro-climatic zones to capture varying climatic and hydrological complexities. The soil and water assessment (SWAT) tool was used to simulate future runoff influenced by LULC and climate change and to explore the related sustainability implications, including related challenges and proposing countermeasures through a sustainable action plan (SAP). The methodology integrated high-resolution satellite imagery, the cellular automata (CA)–Markov model for projecting LULC changes, and downscaled climate data under representative concentration pathways (RCPs) 4.5 and 8.5, representing moderate and extreme climate scenarios, respectively. SWAT model calibration and validation demonstrated reliable predictive accuracy, with the coefficient of determination values (R2) > 0.50 confirming the reliability of the SWAT model in simulating hydrological processes. The results indicated significant increases in surface runoff due to urbanization, reaching >1000 mm, 600 mm, and 400 mm in southern Bharathapuzha, southeastern Wunna, and northwestern Mahanadi, respectively, especially by 2040 under RCP 8.5. These findings indicate that water quality, agricultural productivity, and urban infrastructure may be threatened. The proposed SAP includes nature-based solutions, like wetland restoration, and climate-resilient strategies to mitigate adverse effects and partially achieve sustainable development goals (SDGs) related to clean water and climate action. This research provides a robust framework for sustainable watershed management in similar regions worldwide.
Clinical and psychopathological features of anger in psychotic and affective disorders
Authors:   FSBEI HE Pavlov First Saint Petersburg State Medical University of the Ministry of Health of Russia, Krylov V. I. , Zabrodina A. S. ,   St. Petersburg State Public Healthcare Institution «City Psychiatric Hospital No. 6 (hospital with dispensary)»
Published: February 2025

The emotion of anger has an adaptive function in individuals without mental disorders: it mobilizes resources and motivates to take actions necessary to overcome obstacles, protect health, and defend positions. Manifestations of anger are controllable, correlate in duration and intensity with the trigger, a critical attitude towards them remains, and there is no change in consciousness under the influence of emotion. Manifestations of pathological anger are characterized
by disproportionate intensity and persistence. Control over behavior is impaired, and disturbances in various areas of the psyche are observed. Thus, anger disorder represents a complex multicomponent structure, including affective, sensory, autonomic, ideational, and behavioral components.
Results of microsurgery of petrous bone meningiomas depending on the degree of the pons compression and dislocation
Authors:   Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky of the Ministry of Health of the Russian Federation, Krasnoyarsk Regional Clinical Hospital, Rudenko P. G. , Shnyakin P. G. ,   Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky of the Ministry of Health of the Russian Federation; Krasnoyarsk Regional Clinical Hospital, Loseva A. S. ,   Krasnoyarsk Regional Clinical Hospital, Fayzova M. N. ,   Krasnoyarsk State Medical University named after Professor V.F. Voino-Yasenetsky of the Ministry of Health of the Russian Federation
Published: February 2025

Meningiomas of the petrous bone are among the most difficult tumors for microsurgical removal. The main
factors influencing the outcome of the disease are considered to be the size of the tumor, its localization, involvement of cranial nerves and brainstem and degree of radical removal. The aim of the study was to develop the scale for assessing
compression and dislocation of the pons. Evaluate the results of petrous bone meningiomas in accordance with these indicators.
Materials and methods. The article analyzes the results of microsurgical treatment of 59 patients with petrous bone meningiomas. All patients underwent surgery via the retrosigmoid approach. The assessment of functional status on
the Karnovsky scale and outcome on extended Glasgow scale was carried out depending on the size of the tumor and
the degree of compression and dislocation of the pons.
Results. A scale for assessing compression and dislocation of the pons has been developed, based on maintaining or
changing the anatomical shape of the pons and its dislocation in relation to the median line drawn from the middle of the clivus to the inner occipital protuberance. The lowest average score on the Karnovsky scale in the long-term period was observed in patients operated on for tumors that grossly compressed and dislocated the pons (Type 4), as in groups of patients with large (25–45 mm), and giant (more than 45 mm) neoplasms.
Conclusion. The results of surgical treatment of patients with of petrous bone meningiomas depend on the degree of compression and dislocation of the pons. Degree compression and dislocation of the pons is due to the size of the tumor, the localization of its matrix and the individual features of the structure of the posterior cranial fossa. Patients with severely compression and dislocation of the pons (Types 3 and 4) have the lowest average score on the Karnowski scale, both in the immediate and long-term postoperative period and constitute the main risk group in surgery of petrous bone meningiomas.
THE QURANIC GUIDANCE FOR ADDRESSING THE FOOD CRISIS
Authors: Yasin Hadi , Muid N Abd
Published: February 2025

This research supports the theory of green economy. However, in the Quran, the concept of a green economy encompasses three important dimensions: Spiritual (Ruhiyah), Physical (Badaniyah), and Social (Ijtimaiyah). The Spiritual dimension includes values such as sincerity (Ikhlas), where every activity should be intended solely for Allah SWT, embodying the principles of Tawhid. Humans are merely custodians of the earth, not true owners. This dimension also includes the value of balance (Mizan), emphasizing the importance of balancing the relationship between humans and Allah (Hablun Minallah) and between humans and other beings (Hablun Minannas). This fosters sustainability, as illustrated in the story of Prophet Yusuf AS, promoting patience, steadfastness, and moderation in resource use to ensure the well-being of future generations. Leadership and trustworthiness (Amanah), described as khilafah in the Quran, also fall under this dimension, advocating for just, clean, and good governance.
 The Physical dimension includes the value of action (Harakiyah) for achieving blessings (Al-harakah-barakah) and the necessity to honor food as a provision from Allah, avoiding wastefulness (Israf), and promoting food saving practices. The Social dimension emphasizes equality and justice in addressing food crises, avoiding corruption, and preventing harm.
The research aligns with opinions from figures and academics such as Antonio Guterres (FAO), Ahmad Mubariq (2010), Arief Anshory Yusuf (2018), Joel Makower (2008), Miguel Mendonca, David Jacobs, and Benjamin K. Sovacool (2009). It diverges from the views of anthropocentric scholars like Eugene Hargrove, Mark Sagoff, and Paul Burkett (2018, Red Economy theory).
 The study uses a qualitative method, gathering data from library research, and employs the thematic interpretation method (Tafsir Maudhû’i).
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN KENAIKAN JABATAN AKADEMIK DOSEN STMIK DCC KOTABUMI DENGAN METODE PROFIL MATCHING
Authors: Bambang Suprapto  , Nurmayanti  , Dwi Rahma K
Published: February 2025

STMIK Dian Cipta Cendikia Kotabumi is a higher education institution located on Jl. Negara No. 03 Candimas Kotabumi North Lampung Postal Code 34581 which has been established since 2007 and always maintains a commitment to human resources, especially lecturers. The academic positions held by lecturers are still Expert Assistant and Lector. Therefore, the aim of this research is to build a decision support system that can make it easier to determine promotions to lecturers' academic positions correctly so that errors do not occur in making the selection. The research method uses Profile Matching, and the system development method uses Extreme Programming (XP) with the PHP programming language and MySQL database. This research uses several criteria to determine promotion to a lecturer's academic position, namely Performance, Education, Position, Discipline, Honesty, Ways of Working, Years of Service, Collaboration, Organization and Achievement. The final result of this writing is the design of a Decision Support System for Selection of Lecturer Academic Position Promotion at STMIK Dian Cipta Cendikia Kotabumi. It is hoped that this design will help STMIK Dian Cipta Cendikia Kotabumi in developing a promotion system for lecturers' academic positions.
Enhanced Multi-Objective Grey Wolf Optimization using Adaptive Diversity Tuning and Levy Flights
Authors: Asigri Peter , Frimpong Emmanuel Asuming , Anto Emmanuel Kwaku , Kwegyir Daniel , Effah Francis Boafo
Published: February 2025

This study proposes an enhanced Multi-Objective Grey Wolf Optimizer (MOGWO) using adaptive population diversity tuning and levy flight theories (EMOGWO-ADTLF). It addresses the issues of parameter tunning by balancing exploration and exploitation. Using MATLAB and Python library Pymoo, the study implemented and evaluated the performance of EMOGWO-ADTLF using multi-objective test problems. The results were compared to high-performing algorithms like MOGWO, Non-Dominated Sorting Grey Wolf Optimizer (NSGWO), Dynamic Chaos MOGWO (DCMOGWO), Multi-Objective Mayfly Algorithm (MMA), Multi-Objective Antlion Algorithm (MOALO) and Multi-Objective Dragonfly Algorithm (MODA). In this work, inverted generational distance (IGD) and hypervolume (HV) were the metrics used to measure the performance of algorithms. The metrics measure the diversity, coverage, and spread of solutions. The results obtained showed the potency of EMOGWO-ADTLF in approximating the Pareto fronts. It ranks first in overall average scores in IGD and HV, with total rank scores of 17 and 18, respectively.
The land belong to us? The environmental capital of polish residents based on the example of Masovia
Authors: Szczygieł Oskar , Zwęglińska-Gałecka Dominika , Kalinowski Sławomir
Published: February 2025

Research explores the concept of environmental capital among the residents of the Masovia region, analysing their attitudes and behaviours towards the environment. Environmental capital, defined as collective and individual choices that enhance environmental sustainability, is examined across three dimensions: individual, collective, and socio-political. Utilising data from a 2023 study involving 2000 residents, the investigation assesses the coherence of environmental capital and identifies factors influencing pro-environmental attitudes. Key findings indicate high levels of environmental awareness and positive attitudes towards ecological actions, with significant variations based on age, material conditions, and energy needs. Older residents and those in favourable material circumstances tend to exhibit greater environmental capital. The study highlights the complexity of environmental capital and its importance in sustainable socio-economic development. Recommendations include the development of targeted educational strategies and interdisciplinary approaches to enhance environmental capital and address social justice issues, thereby promoting a balanced and sustainable future.
UNIVERZÁLNÍ A PŘESTO JEDNODUCHÝ – ORGPAD POHLEDEM UŽIVATELE A TVŮRCŮ
Authors:   Oddělení biokybernetiky  Ústav patologické fyziologie 1. LF UK, Kofránek Jiří , Kalisz Vít ,   OrgPad s.r.o., se sídlem Renoirova 624/1, Hlubočepy, 152 00 Praha
Published: February 2025

OrgPad je nový webový nástroj pro tvorbu, prohlížení a sdílení kontextových map. Článek popisuje OrgPad z pohledu nového uživatele a pohledem jeho tvůrců.
Current Problems in the Implementation of a Prisoner's Right to Telephone Conversation
Authors:   Pushkin Leningrad State University, St. Petersburg, Russian Federation, Prigon M.N.
Published: February 2025

The relevance of the article lies in the formulated proposals for the application of legislation regulating relations in the field of communications and information technology that arise when exercising the right to a telephone conversation of a suspect, accused or convicted person held in institutions of the Federal Penitentiary Service of the Russian Federation (FSIN). The legal regulation of the implementation of a prisoner's right to a telephone conversation in modern conditions of digitalization is analyzed. The issues of the feasibility of the requirements of the legislation on communications and information technologies regarding the identification of users of radiotelephone communication services in the conditions of confinement of the service user in the institution of the Federal Penitentiary Service are considered. The existence of problematic issues of legal regulation of relations that arise in the conditions of the use of modern telecommunication technologies by telecom operators that require solutions is substantiated. There is a prospect of using the formulated proposals in law enforcement practice.
On the Issue of Regulating the Timing of Insurance Payments
Authors:   Pushkin Leningrad State University, St. Petersburg, Russian Federation, Rybkina M.V.
Published: February 2025

The article examines the problems of regulating the timing of insurance payments both from the standpoint of normative legal regulation and from a doctrinal point of view, and analyzes law enforcement practice. The influence of the provisions set out in the contract on the obligations arising upon the occurrence of an insured event is determined.
Energy Sovereignty Within the Framework of the National Security System of the Russian Federation
Authors:   Saint-Petersburg State Economic University, Saint Petersburg, Russian Federation, Nazarov A.P.
Published: February 2025

In the context of modern geopolitical realities, the return to concepts such as "sovereignty" is considered for our country not as a political and legal definition that generates discussions and debates in the scientific and legal environment, but as a "necessity" to ensure the socio-economic development of the state, the well-being of citizens, strengthening Russia in the international arena, in other words, achieving national development goals and protection of national interests. The economic model of the functioning of the state (mainly until 2014) was based on the extraction and sale of energy resources and energy carriers, respectively, the budget of the Russian Federation was largely replenished by oil and gas revenues. Subsequently, measures were developed and implemented, including legal ones, aimed at diversifying the economy, the so-called "withdrawal" from the oil and gas "needle". However, it was impossible to deny the importance and role of the energy sector in achieving a state of economic security, which was subsequently reflected in the illegal sanctions imposed by unfriendly countries against Russia in relation to this sector. This article examines the issues of normative and conceptual consolidation of the definition of "energy sovereignty" in strategic planning documents, as well as put forward proposals to improve legislation in this area, taking into account existing geopolitical conditions, the current illegal sanctions regime against the Russian Federation, the use of uncompetitive methods by unfriendly countries in international energy markets.
Optimization of Intrusion Detection System with Machine Learning for Detecting Distributed Attacks on Server
Authors: Yuliswar Teddy , Elfitri Ikhwana , W purbo Onno
Published: February 2025

This study develops an intrusion detection system optimized with machine learning techniques for efficient and effective detection of Distributed Denial-of-Service (DDoS) attacks. Using the Decision Tree algorithm, the system is designed to maximise accuracy in the identification and classification of DDoS attacks. The CIC-DDoS2019 dataset, which consists of various comprehensive simulated attack scenarios, is used as the basis for training and validation, providing the model with robust capabilities in recognizing DDoS attacks with high accuracy. This IDS successfully achieved a 100% detection rate, which is a significant result in the network security environment. The system is integrated into the existing network infrastructure, monitoring data flows in real-time and performing predictive analysis to detect early indications of attacks. Each attack detection immediately triggers a notification sent via a Telegram bot, ensuring that the security team can react quickly to isolate and address the attack. These notifications include details such as the source, type of attack, detection time, and involved protocol information, enabling more informed and strategic response actions. The use of Telegram bots for real-time communication not only enhances the speed of response to threats but also supports system scalability by facilitating adjustments and integration across various operational scenarios. The system's quick detection and response is a big step forward for machine learning-based intrusion detection systems (IDS). It provides opportunities for further research and practical applications that can adapt to various digital security scenarios.
E-guided discovery module for cartesian coordinates topic in junior high school
Authors: Permatasari Dian , Herman Tatang
Published: February 2025

Guided Discovery learning is an approach that actively engages students by allowing them to discover and investigate concepts independently. However, the development of guided discovery integrated with technology, especially on Cartesian coordinates, is still limited and has not been widely explored. likeTherefore, this study explores the ıntegrating guided discovery approach in e-module for cartesian coordinates topıc of junior high school, involving one teacher and 32 students as research subjects. Qualitative data analysis was conducted through documentation and interviews, which were then organized into data reduction, display, and verification steps. The results indicate that the E-Guided Discovery Module effectively enhances students' interest and understanding of mathematical concepts, although several areas require technical and pedagogical improvements. Recommendations for further development include enhancing the user interface, adding interactive features, and developing additional guidance. The E-Guided Discovery Module is an effective tool for improving students' mathematics learning, with the teacher's role being crucial in providing necessary guidance and support.
Implementation of differentiated learning with problem-based learning model assisted by ‘Mebel InterTika’
Authors: Yuniarti Retno , Izzati Nur , Azmi Roma Doni
Published: February 2025

Problems that often arise in mathematics subjects include low learning outcomes.. This study aims to analyze the differences in learning outcomes of students who learn by implementing differentiated learning strategies with the Problem-Based Learning model assisted by MeBel InterTika with students who learn by implementing the Problem-Based Learning model in class VIII statistics material. This research uses a quantitative approach with a quasi-experimental research type. Data were collected using questionnaire techniques, test techniques, and observation techniques. The main research instruments include a learning style questionnaire, learning results tests, and observation sheets. Supporting research instruments are Learning Implementation Plans and MeBel InterTika. The data analyzed are quantitative data obtained from pretest and posttest data on student learning outcomes in the experimental and control classes. The results of the nonparametric test using the Mann-Whitney test, with a significance level of 5%, obtained a significance value of 0.0175, so it was found that the increase in student learning outcomes through the application of differentiated learning strategies with the Problem-Based Learning model assisted by MeBel InterTika was significantly higher than students who received the Problem-Based Learning model in grade VIII of Junior High School.
Concept understanding and mathematical representation ability: DMR model with a reciprocal teaching approach
Authors: Suri Indah Resti Ayuni , Supriadi Nanang , Yuliana Irma , Suherman Suherman
Published: February 2025

Understanding mathematical concepts and representations in mathematics learning is an understanding that needs to be mastered by students in order to show students in the learning process and solve various mathematical problems. In this article we report how MTs students in South Lampung Regency understand concepts and mathematical representations after being treated with DMR learning with a reciprocal teaching approach. This researcher used the Quasy Experimental Design research type with a 2x2 factorial design. The population of this study were MTs students in Central Lampung Regency with samples taken using Cluster Random sampling techniques totaling 60 students (experimental class n = 30 and control class n = 30). The instruments used to collect data were essay tests for understanding concepts and mathematical representations. The data analysis technique in this research is Multivariate Analysis of Variant (MANOVA) with a large significance value . Based on the calculations that have been carried out, the results show that the p-value of understanding concepts is 0.000 and mathematical representation is 0.000, so that the p-value of each understanding is less than 0.05, it can be concluded that there is an influence of the DMR learning model with reciprocal teaching on students' understanding of concepts and mathematical representations simultaneously or partially. The results of understanding mathematical representations were better than understanding concepts for the two learning treatments given.
STEM-based mathematics learning module with PBL model in improving higher-order thinking skills
Authors: Millania Ayunda Nova , Kurniawan Agus Prasetyo , Lubab Ahmad , Anam Ahmad Choirul
Published: February 2025

The development of STEM-based mathematics learning modules that are systematically arranged using the PBL (Problem-Based Learning) model is one way to train students' higher-order thinking skills (HOTS). This study aims to describe the process, validity, and practicality of the developed mathematics learning module and determine the students' higher-order thinking skills after using the mathematics learning module using the development research type. This STEM-based mathematics learning module with the PBL model was developed referring to the ADDIE development model, which consists of 5 stages, namely: (1) Analysis, (2) Design, (3) Development, (4) Implementation, and (5) Evaluation. The math learning module focuses on statistical material on the size of data concentration given to class VIII students at UPT SMPN 9 Gresik, as many as 31 students. Implementation begins with analyzing the results of instrument validation by validators, then analyzing student response questionnaires filled out by students after using the learning module and through higher-order thinking skills tests. Based on the results of the development process, it can be concluded that students still have difficulty working on higher-order thinking skills at the initial stage, namely the analysis stage. Designing and making modules are carried out at the design stage and development stages. At the implementation stage, the module was tested and declared feasible by the validator. The last stage is the evaluation stage, namely analyzing the data that has been obtained. The results of the validation of this math learning module are in the very valid category, with an average total validity (RTV) value of 4.16 by the three validators. The math learning module was also declared practical in theory with an average score of B, with the provision that it could be used with minor revisions. Practically, it gets an average score of 77.64% in the category of higher-order thinking skills, 19 students in the very good category, 7 students in the good category, and 5 students in the moderate category. Thus, The STEM-based mathematics learning module using the PBL model could been said to be well used to improve students’ mathematical understanding and higher-order thinking.
PEMANFAATAN JURNALISTIK DAN MEDIA SOSIAL BAGI GURU DAN KARYAWAN SD IT MIFTAHUL IMAN PEKANBARU
Authors: Dailiati Surya , Hernimawati Hernimawati , Sudaryanto Sudaryanto , Saputri Jeni
Published: February 2025

Journalism and social media, if combined, will be even better for everyone, including those in the world of education, especially the Miftahum Iman Integrated Islamic Elementary School (SD IT MI). Moreover, SD IT MI is a private school which must have more advantages compared to state schools. The problem at SD IT Miftahul Iman is that they have never received information and outreach about journalism and social media from official institutions. Then the school community (teachers, employees and students) need to understand journalism and social media literacy needs to be improved. The method of implementing community service is carried out by means of counseling and discussion, pre-test and post-test. The service carried out at SD IT Miftahul Iman provides/increases the understanding of teaching staff and educational staff about journalism and social media. For journalism, so far they can only enjoy it directly by reading, hearing and watching what is in print and electronic media. Teachers and educational staff already have knowledge and use of social media. However, the narrative regarding the use of social media needs to be improved to be better in quality and quantity.
 
Keywords: Utilization, Journalism, Medi, Social, School