bluuebunny/crossref_metadata_2025 huggingface dataset:
Violent Video Games on Aggression and Self-control of Student Gamers
Authors: Amoroso Andrey Nalds , Hamjan Bina , Lizondra John Luis , Tomakin Ethel Mae
Published: November 2024

The rise in popularity of violent video games has sparked debates on their influence, particularly on aggression and self-control. Concerns about adult-rated games like PUBG, COD, Grand Theft Auto, and Red Dead Redemption prompt scrutiny of virtual experiences and real-world behavior. This study explores the link between exposure to violent video games, aggression, and self-control among student gamers in Davao del Sur, Philippines. Data were collected from fourth-year Psychology students at Cor Jesu College during the first semester of SY 2023-2024, using purposive and convenience sampling. Most respondents were male, reflecting broader gaming trends. Results show moderate aggression and balanced self-control among student gamers. While no significant differences were found in exposure to violent games, aggression, and self-control across age groups, gender variations were notable, with males showing higher exposure and self-control scores. Correlation analysis revealed a negative relationship between violent video game exposure and aggression, indicating potential desensitization, while exposure correlated positively with self-control. Moderation analysis indicated gender and age significantly moderated the relationship between exposure to violent video games and aggression, but not with self-control. These findings highlight the intricate dynamics between gaming habits, psychological traits, and demographic factors among student gamers. The findings suggest that increased exposure to violent video games may be associated with lower levels of aggression and higher self-control among student gamers. This indicates a need to reconsider the common perception of the negative impacts of violent video gaming, emphasizing the importance of context and individual differences in understanding these effects.
Keywords: psychology, adult video-games, aggression, quantitative, Philippines
Love Against all Odds: Unveiling the Triumphs of Pre-arranged Marriage in the B'laan Culture
Authors: Ruelan Lorenz Gleen P. , Navarro Princess V. , Murcia Jeanneth Grace Q.
Published: November 2024

Pre-arranged marriages, deeply rooted in various cultural traditions, involve the orchestration of unions by families. This practice has unique challenges, adjustments, and triumphs within this marital context. However, this practice has received little attention and understanding in the locality, hence the study was conducted. Mainly, the paper focused on exploring the challenges, dynamics, and outcomes of pre-arranged marriage within the context of the B’laan culture in Davao del Sur, Philippines. A qualitative case study was employed with three (3) participants from Davao del Sur who were carefully selected and willingly took part in the study. Findings revealed that in pre-arranged marriage, couples struggled to establish communication, accept unpleasant habits, establish intimacy, and adjust individual preferences in their relationship. Nevertheless, they could cope with this by building connections, sharing responsibility, and having quality time nurturing their union. The study’s findings reflected the uniqueness of individuals, their life choices, paths taken, and subsequent consequences. These success stories of pre-arranged marriage in B’laan culture can provide valuable perspectives on how couples navigate challenges, build trust, and maintain strong relationships. The implications of this study are for society to create safe spaces for these individuals and implement programs that would offer valuable insights and perspectives that could benefit various groups, contributing to greater understanding, empathy, and support for couples in pre-arranged marriages.
Keywords: case study, Philippines, pre-arranged marriage, psychology, triumphs
The Influence of Self Confidence on Inmates' Social Skills at a Correctional Institution in Malang
Authors: Anabillah Ardha Reza , Hitipeuw Imanuel
Published: November 2024

The prisonisation or socialization program for inmates still shows that there are problems related to social interaction that can lead to anti-social behaviors. For this reason, it is important for inmates to have good social skills and it can also be influenced by a person’s beliefs. For this reason, this study aimed to determine the influence of self-confidence on the social skills of inmates in Class 1 Correctional Institution Malang. The design of this study is causal correlation. This study used a purposive sample and obtained 40 inmates who participated in the socialization program, were aged 20 – 45 years, and had served one-third of their sentences. Two questionnaires in the form of a self-confidence scale and a social skills scale were used to collect data. Data analyses used a simple linear regression technique. The results of the study show that the self-confidence of inmates has a positive and significant effect on the social skills of inmates; with the magnitude of the influence of the self-confidence variable on social skills of 34.7% based on R square.
Keywords: prisoner, self-confidence, social skills
Prestige of a Teacher of Higher Law School: Some Special Aspects and Directions of Development
Authors:   Assistant Professor of the Department of State and Legal Disciplines of the Siberian Law Institute of the Ministry of Internal Affairs of the Russian Federation, Teplyashin Ivan V. , Bogatova Evgenia V. ,   Senior Lecturer of the Department of Theory and History of State and Law of the Law Institute of the Krasnoyarsk State Agrarian University
Published: November 2024

The purpose of the presented article is to identify the main difficulties and obstacles in establishing the socio-legal prestige of the teaching staff of higher education in modern Russia. The authors of the article formulate separate proposals aimed at organizational, legal, cultural and ideological support of the teaching profession of an educational organization. Methodology: the study combines the analysis of social relations and legal regulation in the context of the socio-legal prestige of a higher school teacher. In general, special legal, sociological, cultural, and logical research methods are used. Conclusions. The main conclusion is made in the work: the qualitative components of the socio-legal prestige of a teacher of an educational organization affect not only the state of the professional educational environment, but also determine the development of higher education. The authors of the article believe that objective difficulties and problems that stand in the way of forming the prestige of the teaching profession of an educational organization can lead to deformation of professional legal culture and regression of educational activities. Scientific and practical relevance. The proposed ideas can be used to discuss issues of improving the legal education system within the framework of scientific seminars and conferences. The authors are confident that the development of the higher education system through its social support and actualization can increase the prestige of the work of a teacher of an educational organization. Some of the ideas proposed in the article can be implemented in the field of artistic creativity and culture.
Can a Courier Run a State: On the Rate of Remuneration at the Public Service
Authors:   PhD (Law), Senior Lecturer of the Department of Administrative and Administrative Procedure Law of the Voronezh State University, Orlov Aleksandr V.
Published: November 2024

Reasoning over the somewhat ironic and, by and large, rhetorical question indicated in the title of the article, the author touches upon the problem of decent material security (wages) of a public servant and argues for the conclusion about its role and place in the sustainable development of public administration.
Challenging Issues of the Judicial Practice in Cases on Contestation of Non-Regulatory Acts
Authors:   Judge of the Commercial Court of the Kaluga Region, Pashkova Elena A.
Published: November 2024

The subject of consideration is the procedure for challenging non-normative legal acts. The author focuses on a pressing issue for judicial practice in the consideration of administrative legal disputes: aspects of determining whether Chapter 24 of the Arbitration Procedure Code of the Russian Federation is applicable in a particular case. The article reflects the most controversial procedural issues. Attention is drawn to the fact that the courts are obliged in each specific case to evaluate the requirements set out in the petition part, which in form can be like challenging non-normative legal acts, while in essence they are a civil dispute. Related to this problem is the question of whether the chosen method of protecting the violated right is appropriate. Finally, in judicial practice the problem of qualifying contested documents as normative legal acts, non-normative legal acts, or as documents not subject to judicial challenge remains relevant.
Regional Regulation of the Right of Employees to Take Part in Company Management on the EU Example
Authors:   Associate Professor of the Department of Private Law of Russia and Foreign Countries of the Mari State University, Izbienova Tatyana A.
Published: November 2024

The article considers the consequences of the impact of primary (Treaty on the Functioning of the EU) and secondary EU law (Regulation No. 2157/2001248 and Directive 2001/86/EC) on the implementation of the right of employees to participate in the management of the organisation. Based on the analysis of the positions of the European Court of Justice, it is noted that there are constructions that encourage abusive practices on the part of business, which create threats to the realisation of the right to participate in management.
Analysis of Legal Security of Food Security in China
Authors: Li Huijun
Published: November 2024

Food keeps the most basic means of production and subsistence for human beings. When facing global security issues such as severe global epidemics and African locust plague, human is supposed to put a top priority on ensuring food security. Although the grain production capacity in China has been increased and grain-related laws and regulations have been continuously improved in recent years, a food security legal guarantee system that can coordinate the seed industry, crop breeding, and grain reserves hasn't yet been established. Imperfect legal system reduces risk resistance of China. Therefore it is the key strategies to speed up legislation progress, optimize the subsidy system, strengthen emergency reserves, and form a more comprehensive legal system.
Flavor Analysis and Strain Exploitation of Fermented Rice Noodles
Authors: Chen Di , Gu Zhengbiao , Li Zhaofeng , Hong Yan , Cheng Li , Li Caiming
Published: November 2024

Fermented rice noodles is popular for its unique flavor, but the study on flavor is lacking, especially the screening of corresponding strains. For the first time, the relationship of microorganism and flavor was unveiled, based on the research of a typical fermented rice noodles from Guilin in China. Flavors were dissected by HPLC-MS, GC-MS, GC-MS-O (Gas chromatography-mass and spectrometry-olfactometry) analyses, while microbial community was investigated by amplicon sequencing and metagenomics, afterwards microorganisms and flavors were connected via correlation analysis and function annotation, hen strains could be explored based on the analyses. Ethanol, 1-butanol,3-methyl-, 2-butanone, 3-hydroxy-, acetic acid and phenylethanol were discovered to be key flavors, biogenic amines were not abundant enough to have bad effect on flavor, but putrescine, tyramine and histamine produced in fermentation needed supervision for safety. Analysis indicated that fermentation was dominated by lactic acid bacteria. Further analysis revealed that Lactobacillus, Acetobacter and Lactococcus were primary creators for these key flavors. In particular, Lactobacillus showed great potential in flavor forming. Additionally, later experiment suggested that samples fermented by L. fermentum and L. plantarum (both belong to Lactobacillus) possessed great flavors, when L. fermentum also showed the ability to inhibit mold and reduce biogenic amine content.
Study on the Technology of Grapefruit Capsules Removement by Enzymatic
Authors: Jiang Xinjie , Jiang Jiao , Zhang Xue , Zhang Shuailan , Zhang Xiaomei
Published: November 2024

Taking grapefruit as the experimental raw material, the fruit kernel integrity and extraction rate were comprehensively evaluated, and the grapefruit enzymatic de-coating process was explored to provide a basis for the industrial production of grapefruit fruit. The enzymatic de-coating process parameters were optimized by orthogonal test. The results showed that the water bath temperature was 40℃, the total amount of pectinase and cellulase was 1.25 mL, Study on the Technology of Grapefruit Capsules Removement by Enzymatic the ratio was 1:3, and the ratio of material to liquid (West) When the ratio of pomelo and mixed enzyme solution was 80g/100mL, the effect of decapsulation was the best. The grapefruit obtained in this case was relatively complete, and the extraction rate reached 93%.
A ruptured aneurysmal subarachnoid hemorrhage and vasospasm initially manifesting as acute ischemic stroke: a case report
Authors: Park Joongwon , Jeon Wonseok , Choi Junho , Kim Chulho
Published: November 2024

Background: Most aneurysmal subarachnoid hemorrhages (SAHs) are accompanied by focal neurological deficits caused by a thunderclap headache. The neurological symptoms of aneurysmal SAH rarely present as vasospasm-induced cerebral ischemia.Case Report: A 51-year-old male presented to the emergency department with weakness in the left upper and lower limbs combined with dysarthria, which developed on the day of admission. An initial brain computed tomography scan revealed no clear signs of hemorrhage. However, the patient’s age (51 years) and history of thunderclap headache prompted further evaluation. Finally, the patient was diagnosed with vasospasm-induced ischemic stroke, caused by a ruptured cerebral aneurysm.Conclusion: For patients with abrupt focal neurological deficits and severe thunderclap headaches, further consideration of aneurysmal rupture and the resulting vasospasm-induced cerebral ischemia may prevent the worst complications of stroke due to misdiagnosis.
Biocontrol Efficacy of Trichoderma and Bacillus Isolates against Sclerotium rolfsii under in vitro Conditions
Authors: Vamshi J. , Devi G. Uma , Somraj B. , maheswari T. Uma , Supriya K. , Sudini Hari Kishan
Published: November 2024

Background: Sclerotium rolfsii is a polyphagous pathogen which is uneconomical and difficult to control due to its broad host range and persistence due to its tough resting structures, i.e., sclerotia. Chemical control has been supplanted by biological phytopathogen control. Antibiotic microorganisms are regarded as one of the viable management techniques in an integrated approach for ecofriendly management. Methods: Twenty three Trichoderma spp. and twenty one Bacillus species were isolated at Groundnut Pathology Laboratory, ICRISAT, Patancheru from rhizospheric soils of Telangana during rabi 2022-23 and 2023-24 and examined for antagonistic activity against Sclerotium rolfsii in an effort to design an effective biocontrol system for the management of Sclerotium rolfsii in groundnut. Result: The highest antagonistic activity against Sclerotium rolfsii has been observed in Trichoderma viride and Bacillus cereus. In the dual culture assay, Trichoderma viride and Bacillus cereus inhibited Sclerotium rolfsii by up to 65.33 per cent and 58.22 per cent, respectively. In the metabolites assay, Trichoderma viride and Bacillus cereus inhibited Sclerotium rolfsii by 63.33 per cent and 55.40 per cent, respectively. Thus, Trichoderma viride and Bacillus cereus displayed promising biofungicidal capabilities against the stem rot pathogen. ​
The introduction of vertical solar power plants into the energy system of the European part of Russia
Authors: Bubenchikov Anton A. , Goryunov Vladimir N. , Dorogov Boris B.
Published: November 2024

Subject of research: optimal placement and operating modes of solar power plants, taking into account the reduction of carbon dioxide emissions.
Purpose of research: determine the influence of different orientations of photovoltaic power plants on carbon dioxide emissions
Object of research: photovoltaic plants
Methods of research: a combination of data coverage analysis models and an analytical hierarchy process
Main results of research: It is shown that vertical photovoltaic systems can reduce storage capacity or reduce the utilization rate of gas-fired power plants. Without any storage options, it is possible to reduce total carbon dioxide emissions to 10.2 million tons per year.
Application of active and passive filter-compensating devices to reduce the negative effects of harmonic distortions
Authors: Antonov Alexander I. , Rudy Dmitry Y.
Published: November 2024

Subject of research: processes occurring in electrical networks with induction heating installations.
Purpose of research: filter compensators.
Object of research: study of design features of active and passive harmonic filters.
Methods of research: in the process of performing research, scientific and technical generalization of literary sources according to the initial prerequisites for research, methods of probability theory and mathematical statistics were used. Experimental studies were carried out by a complex method using the Resurs-PKE device.
Main results of research: on the basis of conducted researches it is shown that filter-compensating devices can effectively reduce the negative impact of harmonic distortions.
Estimating the parameters of simple nested piecele-linear regression with a linear component
Authors: Noskov Sergey I.
Published: November 2024

Subject of research: the problem of estimating the parameters of a simple nested piecewise linear regression with a linear component.
Purpose of research: to apply an effective linear-Boolean programming apparatus to solve this problem.
Methods and objects of research: the object of research is the minimization of approximation errors of simple nested piecewise linear regression with a linear component, methods – linear regression analysis and mathematical programming apparatus.
Main results of research: an approach to determining parameter estimates for simple nested piecewise linear regression with a linear component is described using the least modulus method, which allows us to reduce this problem to a linear-Boolean programming problem. A numerical example has been solved.
Production of aluminum foam using an alternative porophore
Authors: Lapin Ilya V. , Gilmutdinov Ilfar M.
Published: November 2024

Subject of research: blowing agent in the form of natural CaCO3 powder to obtain high-quality aluminum foam material.
Purpose of research: selection of the optimal type of foam as a pore-forming element and production of aluminum foam with special functional properties.
Methods and objects of research: when studying the gas-forming properties, the residual substances and thermal stability of the powder were determined using a thermogravimetric analyzer TG-DTG, DSC. The processes of obtaining aluminum foam samples sintered in a protective environment on an experimental installation are considered. The object of research is the resulting CaCO3 powders, as well as the determination of the physical and mechanical properties of aluminum foam samples.
Main results of research: production of foamed aluminum with special functional properties with the introduction of powder blowing agent CaCO3. Selection of the optimal component of the amount of powder injected into the metal matrix of the substance, based on the physical properties of the resulting material.
A Randomized Controlled Trial on the Effect of Zucchini Seed Oil on Nipple Pain Among Lactating Women
Authors: Saffari Mehri , Ghorbani Mohammad , Mahmoudian Azamsadat , Khajavian Nasim , Bahri Narjes
Published: November 2024

Objective:Nipple pain is one of the most common reasons for early termination of breastfeeding; thus, effective treatment of this condition is very important. Previous studies have proposed the anti-inflammatory and analgesic properties of theCucurbita pepoplant. The present study was conducted to determine the effects ofC. peposeed oil on the severity of nipple pain in lactating women.

Methods:In this randomized clinical trial study, 60 lactating women with nipple pain were randomly assigned to either the intervention group (zucchini seed oil) or the control group (breast milk). In the intervention group, 0.5 mL of zucchini seed oil was applied to the nipples and areola three times a day after each breastfeeding session to ensure the absence of an allergy to zucchini compounds. In the control group, three to four drops of breast milk were applied to the nipples and areola after each breastfeeding session. Pain score was recorded using a visual analog scale before the intervention and on the third and eighth day after the intervention. Data analysis was done using the Statistical Software for Social Sciences software (version 24). Apvalue of less than .05 was considered statistically significant.

Results:Before the intervention, there was no significant difference between the intervention and control groups with regard to mean pain severity (p= .330). On the third day, the mean pain intensity in the intervention group significantly decreased compared with the control group (p= .023). On the eighth day, the mean pain severity was significantly lower in the intervention group compared with the control group (p= .016).

Conclusions:The findings of this study indicate that zucchini seed oil extract was effective in reducing the severity of nipple pain in lactating women. Therefore, use of this oil extract is suggested for treatment of nipple pain in lactating women.
Atypical Leg Ulcer in an Elderly Patient
Authors: Sousa Keyla , Teixeira João , Calvão Joana
Published: November 2024

N/A.
‘Âmil Teorisinde Ma‘nevî ‘Âmile Yeni Bir Yaklaşım Denemesi
Authors: Aktaş Sahip
Published: November 2024

Arapların farklı milletlerle karşılaşması, beraberinde Arapça konuşanlar arasında dil hatalarının yaygınlaş-masına neden olmuştur. Bu olgu, Arap gramerini nesnel kaideler üzerinden tespit etme ihtiyacını doğur-muştur. Bu ihtiyacı gidermeye yönelik dilciler tarafından her biri müstakil bir ekole dönüşecek düzeyde gramer müktesebatı oluşturulmuştur. Dil ekolleri düzeyinde gramer kurallarının mantıksal bir zeminde izah etme gayreti, tarihsel süreçte Arap gramerine dair birtakım teoriler ortaya çıkarmıştır. Bunlardan biri de ‘âmil teorisidir. Etkinliğini, ortaya çıktığı günden bugüne sürdüren bu teoriye zaman içerisinde birtakım eleştiriler getirilmiştir. Lafzî ve ma‘nevî ‘âmil olarak iki temel saç ayağı üzerinden kurgulanan bu teori, genel kabul görmüştür. Ancak özelikle ma‘nevî âmilin ne olduğu konusunda yapılan çalışmalar, farklı tercihleri ortaya çıkarmış ve buna dair birtakım tartışmalara kapı aralamıştır.
Bu çalışmada birtakım eleştirilere maruz kalan ‘âmil teorisi genel hatlarıyla inceleme konusu yapılacaktır. Ardından farklı tercihlere sahne olan ma‘nevî ‘âmil konusu ele alınıp işlenecektir. Teorinin daha fazla yoruma açık olarak değerlendirilen ma‘nevî ‘âmil kısmı için ilk halin merfû‘ olması şeklinde farklı bir yaklaşım sunulacaktır.
The EU’S Approach to Mitigating the Impact of Sanctions on Humanitarian Assistance: A Case Study of Syria
Authors: Oganisyan L.
Published: November 2024

In times of a significant expansion sanctions practice, the problem of their humanitarian damage in general and their destructive impact on the provision of humanitarian assistance to population of target countries in particular becomes especially acute. As an active initiator of restrictive measures and a leading donor of humanitarian aid, the European Union pays significant attention to the negative impact of restrictive measures on fundamental human rights and on humanitarian action in sanctioned environments. This study identifies the essence, logic and goals of the EU’s efforts to mitigate the negative impact of restrictive measures on the provision of humanitarian assistance to those in need using the example of Brussels’ policy towards Syria before and after the devastating 2023 earthquake. The paper examines the architecture of the EU sanctions policy and humanitarian assistance, shows the role and significance of humanitarian exceptions from sanctions regimes in EU policy and rhetoric. The author focuses on the Syrian case. Its study allows to identify the dilemmas of the EU sanctions policy towards Syria, the motives and tools for mitigating the impact of sanctions on the humanitarian situation in a country located in close proximity to the European southern borders. Particular emphasis is placed on studying the approach of the European Union, as the largest donor of aid, to minimizing the negative impact of restrictions on the provision of humanitarian assistance to Syria. A study of the European Union’s efforts in Syria shows the role of humanitarian exceptions from sanctions to mitigate the impact of restrictive measures on the provision of assistance, as well as their importance for achieving the political goals of the European Union and its international positioning.
Key Interests of China and India in the Arctic and Main Directions for Cooperation with Russia
Authors: Strelnikova I. , Kharina O. , Nabiev K.
Published: November 2024

The article analyzes Russia’s prospects for interaction with China and India in the Arctic. Simultaneously with the process of competition between great powers for the Arctic, the interest of non-Arctic countries in the region grows. In the face of attempts to contain Russia and isolate it in the Arctic Council, Moscow has intensified interaction with non-Arctic friendly countries to promote projects for the development of its Arctic zone. At the same time, the question arises in what format and in what directions to do so. This paper analyzes the positions of Russia, China and India in the Arctic in order to find the most realistic cooperation formats based on the national interests of states, taking into account the specifics and inclusiveness of the Arctic region. The main attention is paid to the policy documents of states on the Arctic and key events in the development of cooperation between countries in the Arctic. The study was conducted through the prism of the neorealism paradigm, since the main emphasis is on the national interests and the influence of the modern international political environment on their behavior. The authors came to the conclusion that scientific research is the most promising and the least problematic area of cooperation in the Arctic for all parties. The Arctic zone of Russia is a huge laboratory for non-Arctic countries where they can study climate processes. Cooperation in energy and logistics is developing unevenly between countries, but its relevance for all parties continues to grow. A format of informal cooperation is of the highest relevance to Russia – it is flexible and makes it possible to diversify foreign economic ties.
From data to diagnosis: leveraging deep learning in IoT-based healthcare
Authors: Atianashie Miracle A. , Adaobi Chukwuma Chinaza
Published: November 2024

In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. This article explores the advanced architectures of deep learning and their application in healthcare IoT, emphasizing the enhancement of disease prediction models, medical image analysis, and real-time health monitoring systems. Deep learning’s capacity to handle vast and complex datasets by extracting high-level features and enabling predictive analytics is particularly beneficial in healthcare, where timely and accurate diagnosis can significantly influence treatment outcomes. Furthermore, the implementation of deep learning technologies in healthcare IoT has proven effective in the early detection of critical health conditions, including cancer and neurodegenerative diseases, through sophisticated analysis of medical images and physiological data. This article also discusses the pivotal role of Graphics Processing Units (GPUs)-accelerated computing and the expertise of medical professionals in refining deep learning models for clinical applications. Despite these advancements, challenges remain such as data privacy, interoperability of diverse systems, and the computational demands of processing large-scale data. Ethical and legal considerations are also critical as the deployment of artificial intelligence in healthcare necessitates careful consideration of patient consent and data security. The future of deep learning in healthcare IoT is geared toward enhancing data security, improving device integration, and creating patient-centric models through innovative technologies such as blockchain and edge computing. This article advocates for a collaborative approach to overcome barriers and accelerate the adoption of these technologies in mainstream healthcare settings.
An Assessment of Agent-Based Modelling Tools for Community-Based Adaptation to Climate Change
Authors: Selje Tom , Islam Rayhan , Heinz Boris
Published: November 2024

Human induced climate change led to the recognition of Community-Based Adaptation (CBA) as one of the remedies in building adaptive capacity and resilience of communities. It recognizes the agency of communities in shaping the optimal strategy. CBA interventions are vital in addressing community needs and contextual specificities, enable participatory and inclusive engagement and thereby facilitate more profound adaptation impacts. Agent-based modelling (ABM) has the potential to be an invaluable approach in developing tailored adaptation strategies considering capacities, resources, skills, priorities, needs and the cultural context of local communities. ABM allows to capture the complex relationships among various components within community decision making on CBA actions, the CBA actions themselves and the environment, however available tools provide for various degrees of freedom in agent definition, sensitivity analysis, scalability, experiment design and output analysis to name a few. This article assesses all available ABM modelling and simulation tools for its application in the context of CBA. NetLogo emerges as the most suitable tool for incorporating and handling the special features of CBA. It is closely followed by GAMA and Envision. The article provides insights and guidance to researchers and practitioners in selecting ABM tools aligned with the specific requirements of their CBA simulations and projects.
Communicative Intuition in HRI: Intuitive Understanding, Cognitive Evolution and Mental Models in Socially Assistive Robots (SAR)
Authors: Lombardo Claudio
Published: November 2024

This study explores the use of artificially simulated intuition and mental models in Socially Assistive Robots (SAR) to enhance human-robot interaction (HRI). A multidisciplinary approach is proposed, integrating neuroscience, cognitive evolution, and empathy studies to address the limitations of the traditional Theory of Mind (ToM) as applied to SAR. The goal is to develop advanced social robotics models capable of intuitively interpreting and responding to human signals, leveraging principles of cybernetics and complex systems. This approach supports the hypothesis that SAR with multisensory capabilities and simulated intuition can foster human-like empathy, reducing the uncanny valley effect and advancing SAR applicability in healthcare, education, and personal assistance.
Bi-Symmetric Polyhedral Cages with Maximally Connected Faces and Small Holes
Authors: Piette Bernard , Lukacs Arpad
Published: November 2024

Polyhedral cages (p-cages) describe the geometry of some families of artificial protein cages. We identify the p-cages made out of families of equivalent polygonal faces such that the faces of 1 family has 5 neighbours and P_1 edges, while those of the other family have 6 neighbours and P_2 edges. We restrict ourselves to polyhedral cages where the holes are adjacent to at most 4 faces. We characterise all the p-cages with a deformation of the faces, compared to regular polygons, not exceeding 10%.
Development of an Integrated EV Service Ecosystem Business Model Using Community Ecology and Ecosystem Ecology Concept for Sustainable Tourism Areas: A Review
Authors: Saragi Hadi Sutanto , Siswanto Joko , Silalahi Fitriani , Yudhistira Titah Saputra , Sitohang Nathan Saputra
Published: November 2024

The Business Model Canvas (BMC) and Value Chain have significantly impacted how companies and entrepreneurs develop their business strategies. BMC and the value chain provide a simple visual approach to effectively map out key elements in a business. BMC and the value chain have also been used as foundational models for ecosystem business models. Ecosystem business models are created by integrating the business model canvas and the pie model, known as the Integrated Business Model (IBM). Another method for generating an ecosystem business model is by integrating the value chain and the pie model, known as the Service-Dominant Business Model Radar (SDBM/R). Ecosystem business models with an organizational approach have also provided a broad view of the roles of each organization, divided into five actors: governor, input provider, aggregator, enabler, and end user. In this research, the perspective of the ecosystem business model originates from an ecological analogy. The ecological concept consists of community ecology and ecosystem ecology. Community ecology relates to the types of actors that play roles in the ecosystem, while ecosystem ecology relates to the value chain processes within the ecosystem. This research will discuss the advantages and limitations of BMC, the value chain, and organization as foundational models for ecosystem business models, as well as opportunities to create new ecosystem business models based on the concepts of community ecology and ecosystem ecology. The new business model formed will be applied to electric vehicles in sustainable tourism areas.
Phycoremediation and Cyanoremediation of Polluted Seawater in the Arabian Gulf and Associated Risks to Human Health
Authors: Al-Thani Roda F. , Yasseen Bassam Taha
Published: November 2024

Cyanobacteria play a crucial role in marine ecosystems as primary producers of food and oxygen for various organisms while helping remove waste and toxic substances from the environment. They are essential to the carbon cycle and help regulate the climate. These marine autotrophs also aid in the absorption of essential elements and support diverse life forms. They help degrade organic compounds including petroleum hydrocarbons as well as heavy metals. Fluctuations in cyanobacteria populations can indicate ecosystem health, influencing both human well-being and wildlife. Their significance also extends to potential technological advancements, thus providing valuable resources for fields such as pharmacology, medicine, health care, biofuels, cosmetics, and bioremediation. However, some species produce toxins that pose risks to human health and marine organisms. Consequently, cyanobacteria are a major focus of research aimed at preserving and improving marine ecosystems-especially given the environmental damage caused by past and potential future conflicts. This review highlights their roles in phycoremediation and other industrial and biotechnological applications with a particular focus on the Arabian Gulf region.
QSAR Modeling and Biological Testing of Some 15‐LOX Inhibitors in a series of Homo‐ and Heterocyclic Compounds
Authors: Khairullina Veronika , Martynova Yuliya , Kanevsky Matvey , Kanevskaya Irina , Zimin Yurii , Maksimov Leonid
Published: November 2024

This paper examines the quantitative structure–inhibitory activity relationship of 15-lipoxygenase (15-LOX) in sets of 100 homo- and heterocyclic compounds using GUSAR2019 software. Statistically significant valid models were built to predict the IC50 parameter. A combination of MNA- and QNA-descriptors with three whole molecular descriptors (topological length, topological volume, and lipophilicity) was used to develop 18 statistically significant valid consensus QSAR models. These compounds had varying degrees of inhibition of the catalytic activity of 15-LOХ: the range of variation in the pIC50 value was 3.873. The satisfactory coincidence between the theoretically calculated and experimentally determined pIC50 values for compounds TS1, TS2 and 1–8 suggests the potential use of models M1–M18 for virtual screening of virtual libraries and databases to find new potentially efficient inhibitors of 15-LOX.
Investigating Synoptic Influences on Tropospheric Volcanic Ash Dispersion from 2015 Calbuco Eruption Using WRF-Chem Simulations and Satellite Data
Authors: de Bem Douglas Lima , Anabor Vagner , Puhales Franciano Scremin , Pinheiro Damaris Kirsch , Grasso Fabio , Steffenel Luiz Angelo , Brenner Leonardo , Rizza Umberto
Published: November 2024

We used WRF-Chem to simulate ash transport from Chile’s Calbuco volcano eruptions on April 22 and 23, 2015. Massive ash and SO2 ejections reached the upper troposphere, and particulates were transported over South America, observed over Argentina, Uruguay, and Brazil via satellite and surface data. Simulations from April 22 to 27 covered eruptions and particle propagation. Chemical parameters utilized GOCART; meteorological conditions came from NCEP-FNL reanalysis. Two simulations (GCTS1 and GCTS2) differed in ash mass fraction in the finest bins (0–15.6 μm): 2.4% and 16.5%, respectively, to assess model efficiency in representing plume intensity and propagation. Analyzing active synoptic components revealed their impact on particle transport and the Andes’ role as a natural barrier. We evaluated and compared simulated aerosol optical depth (AOD) with VIIRS Deep Blue Level 3 data and SO2 data from Ozone Mapper and Profiler Suite (OMPS) limb profiler (LP), both sensors onboard the Suomi National Polar Partnership (NPP) spacecraft. The model successfully reproduced ash and SO2 transport, effectively representing influencing synoptic systems. Both simulations showed similar propagation patterns, with GCTS1 yielding better results. Comparison with VIIRS Brightness Temperature Difference data confirmed the model’s efficiency in representing particle transport. Overestimation of SO2 may stem from emission inputs. This study demonstrates WRF-Chem’s feasibility under volcanic configurations to reproduce ash and SO2 patterns enabling studies on aerosol-radiation and aerosol-cloud interactions and the understanding of atmospheric behavior following volcanic eruptions.
A Dynamic Load Modulation Power Amplifier with Ferroelectric Based Tunable Matching Network
Authors: Turalchuk Pavel , Filipiuk Irina , Iskakov Bayazet
Published: November 2024

A power amplifiers are crucial components that significantly influence the linearity and energy efficiency of next-generation communication system radio units. A key challenge in designing power amplifiers is managing high Peak-to-Average Power Ratio (PAPR) to achieve both high linearity and energy efficiency during back-off conditions. This paper presents simulation and measurement results for a dynamic load modulation power amplifier based on a ferroelectric tunable matching network. Experimental studies on the power amplifier with the tunable output matching network confirm its performance at 8 dB back-off while varying the control voltage applied to the ferroelectric element. Additionally, a bias modulator to adjust the transistor's load in relation to input power was designed. Measurement studies of the dynamic load modulation power amplifier demonstrated an efficiency of at least 50% at 8 dB back-off and higher 60% at peak power. Furthermore, it was found that the modulator output voltage adjustment function on input power of the bias modulator affects the linearity of the output power. Different bias responses are studied and, as a result, optimal output voltage response is found. The proposed load modulation power amplifier is promising for operation with high PAPR digital signals.
Effects of Gestational Diabetes Mellitus on Fetal Cardiac Morphology
Authors: SÖYLEMEZ ESRA , Sağol Sermet
Published: November 2024

Objective: This study aims to investigate the possible effects of gestational diabetes mellitus (GDM) on fetal heart structure and the relationship of this effect with maternal blood sugar control.
Materials and Methods: In this cross-sectional study, 19 women with GDM at 24-36 weeks of gestation (case group) and 21 healthy pregnant women at the same weeks of gestation (control group) were examined. Fetal heart structure was evaluated by ultrasonography, interventricular septum (IVS) thickness, right and left ventricular sphericity indices, global sphericity index (GSI) and cardio-thoracic ratio were measured. In addition, mothers' HbA1c values (an indicator of blood sugar control) were recorded.
Result: An increase in IVS thickness was observed in the fetuses of mothers with GDM. A more rounded trend was observed in the right ventricular structure, but this did not create a significant difference. No significant relationship was found between maternal blood sugar control and fetal heart structure.
Conclusion: This study examined the effects of gestational diabetes on fetal cardiac morphology and the relationship of this effect with maternal glycemic control. Babies of mothers with GDM had a significantly thicker interventricular septum. A more rounded trend was detected in the right ventricular structure. However, this change was not found to be statistically significant. In addition, no significant correlation was found between maternal glycemic control and fetal cardiac morphology.
Rate of Perceived Exertion based on Repetitions in Reserve versus Percentage of One-Repetition Maximum for Resistance Training exercise prescription in Cardiac Rehabilitation: A Pilot Study
Authors: Gismondi Alessandro , Iellamo Ferdinando , Caminiti Giuseppe , Sposato Barbara , Gregorace Emanuele , D'Antoni Valentino , Di Biasio Deborah , Vadala Sara , Franchini Alessio , Mancuso Annalisa , Morsella Valentina , Volterrani Maurizio
Published: November 2024

The aims of the study were to assess the efficacy of the rate of perceived exertion (RPE) scale based on the number of repetitions in reserve (RIR) for the prescription of resistance training in cardiac rehabilitation and to compare it to the percentage of one-repetition maximum (1RM) prescription method. Sixteen male pa-tients (age 59.8 ± 7.6) with history of coronary artery disease were randomly assigned to two resistance training rehabilitation protocols lasting nine weeks and consisting of three sessions per week, with the same exercise selection, number of sets and repetitions, rest periods, but different load prescription method (RPE vs %1RM). Patients’ strength was evaluated pre- and post-intervention. Patients in the RPE group increased leg press by 24.25 ± 17.07 kg (p = 0.005; ES = 0.71), chest press by 7.25 ± 3.41 kg (p = 0.001; ES = 0.61), seated row by 13.88 ± 7.57 kg (p = 0.001; ES = 0.77), leg extension by 14.24 ± 4.53 kg (p < 0.000; ES = 0.76), shoulder press by 5.75 ± 4.06 kg (p = 0.005; ES = 0.80), lat pulldown by 7.50 ± 4.66 kg (p = 0.003; ES = 0.73). Post-intervention between-group analysis showed no statistically significant differences in strength gains (leg press p = 0.955; chest press p = 0.965; seated row p = 0.763; leg extension p = 0.565; shoulder press p = 0.868; lat pulldown p = 0.780) and trivial effect sizes for one prescription method over the other (leg press ES = -0.03; chest press ES = 0.00; seated row ES = 0.10; leg extension ES = -0.29; shoulder press ES = 0.18; lat pulldown ES = 0.05). RPE based on RIR seems to be an effective prescription method for resistance training in cardiac rehabilitation, showing similar efficacy to the standardized practice of percentage of 1RM.
Determination of Hydrological Flood Hazards Thresholds and Flood Frequency Analysis: Case of Nokoue Lake Watershed
Authors: DABIRE Namwinwelbere , EZIN E. C. , Firmin A. M.
Published: November 2024

A flood is defined as a relatively high flow rate or water level in a river or body of water, characterized by an elevation above the norm, leading to the inundation of low-lying areas or bodies of water that are not normally submerged. Almost every year, floods of significant magnitude impact the Nokoue lake basin, endangering nearby populations as they greatly affect the economy and infrastructure development. The unresolved issue of flooding in Nokoue lake necessitates a thorough study and analysis of specific flow models, particularly those concerning the frequency, probability, and scale of flooding. In this context, the present article on threshold determination and flood frequency analysis is highly valuable in mitigating the chronic flooding problem of Nokoue lake. Flood frequency analysis involves interpreting the historical flood data and predicting future probabilities. Annual data on the maximum water level of Nokoue lake over 27 years, from 1997 to 2022, was used for this purpose. The peak water level indices of Nokoue lake and classification were used to characterize flood thresholds. The Gumbel extreme value distribution method, the generalized extreme value distribution method, and the generalized Pareto method were used to test the probability of flood occurrence. The analysis results indicate that flood hazard thresholds are defined as follows: from negative infinity up to below 3.94 m for limited risk, from 3.94 m up to 4.04 m for moderate risk, from above 4.04 m to 4.14 m for significant risk, and from above 4.14 m to 4.95 m for critical risk. Among the flood frequency analysis methods, the Gumbel extreme value distribution is considered more effective and suitable for estimating flood occurrence probabilities and for designing flood control measures for Nokoue lake with a root mean square error (RMSE) of 0.0724, compared to 0.0754 and 0.0761 for the GEV and GPA distributions, respectively. The position and scale parameters (φ; α) of the Gumbel distribution were estimated to be 3.802 and 0.249, respectively. This allows for the calculation of the probability of an extreme water level occurring within a return period in a single day. Thus, the extreme water levels (flood quantiles) associated with return periods of 10, 50, and 100 years, as determined by the Gumbel distribution, are 4.36m, 4.77m, and 4.95m, respectively. Exceptional and very exceptional hydrological events have return periods of 100 and 150 years, corresponding to peak flow levels ranging from 4,95m and 5,05m respectively. These values are of crucial importance for the design of flood prevention structures (infrastructure) intended to mitigate flood risk.
Innovation and Application of Cluster Edge Teeth of DTH Hammer Drill Bit in Large Diameter Geothermal Well with High Strength Rock
Authors: Ye Hongyu , Yu Haoyu , He Shengyu , Tian Longjun , Zheng Xiuhua , Bu Changgen
Published: November 2024

Down the Hole (DTH) Hammer drilling has high rock breaking efficiency and strong advantage in hard rock drilling, which can reduce the cost of geothermal drilling. However, when the drill bit rotation speed and the DTH percussion frequency do not match properly, specially when the drill bit diameter is large and the ball tooth diameter is small, while drilling high strength formation, the edge teeth of the drill bit are prone to fracture and break, leading to the failure of the drill bit and a significant reduction in its lifespan.This paper investigates the failure modes firstly, then analyzes the failure mechanism of large diameter DTH bit, and proposes a novel method of cluster edge teeth of DTH hammer drill bit in large diameter geothermal well with high strength rock. The drill bits of this innovative design have been mass-produced. Widespread field applications have shown significant improvements in drill bit life and drilling efficiency, obtaining the reduction of drilling costs.