bluuebunny/crossref_metadata_2025 huggingface dataset:
Kajian Potensi Wisata di Wilayah Pesisir Bulak Surabaya
Authors: Ardhanari Margaretha , Kristyanto Visi Saujaningati , Nugrohadi Gratianus Edwi
Published: May 2024

Surabaya is a coastal city with high economic and tourism potential. Three main things that have been done by the city government (physical development, sustainable development programs, and economic strengthening) need to be noted, for example, the non-optimal management of the tourism potential of the coastal area and the imbalance between the tourist area and the surrounding fishing villages. On that basis, this research tries to answer various issues related to the optimization of tourism development in the coastal area of Bulak, Surabaya. This research is initial research that maps the various potentials (owned by the Bulak coastal area of Surabaya), which is then followed up by offering development strategies. This research used a descriptive model qualitative approach. The initial study was conducted by analyzing various planning documents, which were then followed up with field observations and interviews with key people. In the final stage, the researcher then analyzed the development strategy. The results of this study state that Bulak sub-district has nine tourism objects that have the potential to be developed in the coastal area. The proposed development strategy (based on the results of data processing) is an aggressive maintenance strategy. This is done by strengthening inward by making improvements in various fields. In addition, the development strategy also needs to be collaborative, especially with the city government, while still paying attention to various ecological issues
Keywords:  Tourism Potential Assessment, Aggressive Maintenance Strategy, Surabaya Coastal Area
Bridging the Gap by Exploring Inequalities in Access to Land and Disparities in Agrarian Law in Indonesia
Authors: Putri Natasya Aulia , Sarmilah Sarmilah , Velda Jennifer , Zschock Wulan Mirdayanti
Published: May 2024

This article explores the historical underpinnings of unequal access to land in Indonesia, tracing its roots to colonial legacies and the lasting impact of Dutch colonial rule. Through an examination of laws such as the 1870 Agrarian Law, it highlights how indigenous peoples were systematically dispossessed of their land, exacerbating social inequality and perpetuating economic injustice. It also underscores the widespread legal uncertainty faced by marginalized groups, which hinders their access to essential services and deepens social and economic disparities. After the proclamation, Indonesia chose to create new regulations by passing Law No. 5/1960 on the Basic Regulation of Agrarian Principles (UUPA). This law became the legal framework for Indonesia's agrarian reform. Furthermore, this article explores the critical role of agrarian reform in reducing this disparity, advocating for comprehensive policy reforms that aim to strengthen legal protections for the land rights of marginalized communities. By elucidating the historical trajectory of land access inequality and its contemporary manifestations, this article contributes to a better understanding of the complex socio-legal dynamics that shape land tenure in Indonesia. Through a critical examination of colonial legacies and current policy frameworks, it seeks to inform efforts aimed at promoting social justice and equitable resource distribution. Ultimately, the article underscores the importance of agrarian reform that prioritizes the rights and welfare of marginalized communities, hoping to pave the way towards a more inclusive land governance regime and sustainable development.
KEYWORDS : Land Access, Inequality, Agrarian Law, Agrarian Reform
Rare Opportunity or History Revisited? The Pitfalls and Prospects of Ethical AI in Light of Public Ethical Responses to the Telegraph
Authors: Anderson Marc M.
Published: May 2024

This article undertakes a comparative ethical analysis of the types of public expectations and concerns related to the development of two technologies: the telegraph and artificial intelligence. For each technology I provide a historical survey of public ethical expectations and concerns followed by a survey of the outcome or results of those expectations. Expectations and concerns of the telegraph era public are drawn together from popular and public literature and regulation of the period, whereas the expectations and concerns of our contemporary public AI engagement are drawn both from popular literature and public surveys, and supported by a manual search and ranking of a number of ethics related terms found in the raw feedback of the Stakeholder Consultation on the EU Commission High Level Expert Group Guidelines for Trustworthy AI. I then go on to compare those results, highlighting the similarities and differences between the two technologies, in particular the positive economic and socially responsible use expectations outcomes and the negative concerns regarding monopoly, regulation, and control. Finally, I argue that, taking the telegraph outcome as a guide, an ethical focus on accentuating positive expectations toward AI is more likely to produce definite results than concentrating upon prohibitory and negative approaches.
State Power over the Body in the Context of Thomistic Ethics — Capital Punishment, Police Killing and Waging War
Authors: Kilan Wojciech Stanisław
Published: May 2024

When engaging in a philosophical analysis of body and corporeality in a political context, it is essential to ask to what extent, under what circumstances, and in accordance with what moral norms the state performs actions that have the bodies and lives of citizens as their object. This issue was already discussed in ancient philosophy, examples of which can be found in the writings of Plato and Aristotle, but also in ancient jurisprudence, especially in the law and the legal doctrine of ancient Rome.
Aware of such a previous history of studies on this topic, this analysis will discuss the three main ways in which state power over the life and health of citizens is manifested. Namely: (i) capital punishment (ii) policing and (iii) warfare. In addition, it will be indicated, based on Thomistic philosophy, what moral norms govern these state actions. The fundamental differences between the three main state powers — judicial, police, and military — will also be shown in the context of lethal actions undertaken on their basis.
The Influence of Population Behavior and Settlement Environment on the Incidence of Filariasis in Sigi Regency, Central Sulawesi, Indonesia
Authors: Santriana Santriana , Ramadona Aditya Lia , Gunawan Gunawan
Published: May 2024

Introduction: A health issue is filariasis including in Sigi Regency, brought on by filarial worms and spread by mosquito bites. Filariasis is a parasitic infection that threatens about one-third or 1.3 billion of the world’s population in 83 countries that are vulnerable to filariasis. This research intends to examine the impact of behaviour and environment on the occurrence of filariasis in the Sigi Regency. Methods: The study used an observational analytic method with a case control approach, involving 114 people from 13 villages in Sigi Regency, of whom 38 were cases and 76 were controls. The control group is people who live in the same environment as the case group. The data collection methods were a survey and an environmental assessment. Results and Discussions: The logistic regression analysis revealed that the most influential factors for the occurrence of filariasis in endemic regions in Sigi Regency were mosquito breeding sites with Odds Rasio (OR) value =8.57 (2.43-34.33), p-value = <0.001, existence of animal pens with OR value=5.16 (1.15-29.44), p-value = 0.044, and not using anti-mosquito medication with OR value = 6.06 (1.54-27.56), p-value = 0.013. Conclusion: The breeding habitats of disease-transmitting mosquitoes, the presence of animal pens and the habit of not using anti-mosquito medication are the dominant risk factors related to the occurrence of filariasis in endemic regions in the Sigi Regency.
THERMODYNAMIC IMPERATIVES THE MODERNIZATION OF THE ELECTRIC DRIVE OF PUMP UNITS OF THE CENTRALIZED HEAT SUPPLY NETWORK IN THE CONTEXT OF INCREASEING ENERGY EFFICIENCY
Authors: Fedirko Michael , Holovko R.
Published: May 2024

The relationship between thermodynamic and hydraulic parameters of the heat supply network has been established. The dependence of the electric power consumed by the electric drive of the pump unit on the pressure and supply of the coolant was determined. It is proved that the regulated electric drive system has advantages over the non-regulated electric drive system in the context of energy efficiency of the pumping unit and the district heating network in general. Approaches and criteria for the synthesis of a regulated electric drive system, including its automatic control system, were determined, regulation methods were analyzed, and the most acceptable version of the electric drive was chosen: a controlled frequency converter - an asynchronous motor with a short-circuited rotor, taking into account the above, an energy-saving mechanical system of a centralized heat supply network was synthesized. The peculiarity of this system is that the protection of parameters of hydraulic and temperature regimes in the network of centralized heat supply is ensured with the help of extreme automatic control systems. At the same time, the assignment of mode parameters is provided by the temperature controller of the heat exchange point of the network. Regulation of the pressure and productivity of the pumping unit is carried out by changing, according to a certain law, the frequency and power supply of the asynchronous motor.
Presidential Election in Azerbaijan and Western Policy towards Baku
Authors: Gegelashvili N.
Published: May 2024

The article examines the policy of the United States and the EU towards Azerbaijan, especially after its “anti-terrorist measures” in Nagorno-Karabakh, caused by a new round of escalation of the conflict, as well as the reaction of Azerbaijan to Washington and Brussels actions. The author gives an analysis on the extremely offensive and proactive policies of both Washington and the European Union, acting in the format of the Transatlantic Partnership. At the same time, the consistency of Washington’s policy in the region is noted, which is clearly manifested in the implementation of its policy towards this country, especially in the context of its increasing interest on the side of the U.S as well as the EU taking into account the role and importance of the Black Sea-Caspian region that is becoming extremely important for the United States in the context of the current relations between the Russian Federation and the West. At the same time, it would be quite impossible to ignore growing subjectivity of Azerbaijan which is gaining momentum in the context of its geopolitical significance both for the United States and the EU, guided, in general, by its national priorities coupled with pragmatic considerations.
Belarus: Relations with Russia in the New Political Reality
Authors: Astakhova S.
Published: May 2024

A new political reality is being formed in the context of the unfriendly policy of Western countries towards the Russian Federation. Belarus continues to be Russia’s only ally in the western direction. Russian and Belarusian diplomacy work together to achieve common foreign policy objectives to build a more just world order based on traditional values and respect for the interests of all parts. The idea of a multipolar world is becoming the basis of Russian foreign policy.
Strategic Potential of the “Armenia–Iran–India” Transport Corridor
Authors: Davtyan V. , Margaryan N.
Published: May 2024

The article discusses the problems and prospects for the formation of the “Armenia–Iran–India” transport corridor. The geopolitical and geo-economic interests of the project participating states are identified. It is established that the implementation of the “Armenia–Iran–India” corridor will make it possible to diversify the international transport corridor “North–South”, increasing its competitiveness in relation to the “East–West” corridor, designed to provide transport links in Europe–Caucasus–Asia logistics, bypassing Russia. The prospects that the formation of the “Armenia–Iran–India” corridor opens for the EEU, aimed at developing trade, economic and strategic ties with Iran and India, are studied. Trade and economic relations of the EEU with India and Iran are analyzed. It is shown that Armenia, as a member of the EEU, which has a common border with Iran, can act as an important link within this corridor, ensuring its further development along the Persian Gulf – Black Sea line. The capabilities of the Iranian port of Chabahar and the Pakistani port of Gwadar are assessed and considered to be in the strategic interests of India and China, respectively. The interests of potential beneficiaries of the “Armenia–Iran–India” corridor are specified.
Post-Soviet states at the present stage: internal political dynamics and the search for de-velopment paths. Ed. by E.G. Solovyev
Authors: Solovyev E.
Published: May 2024

The authors of the monograph analyze main political processes on the post-soviet space since 2020 to the present. They examine the alignment of political forces, the specifics of the evo-lution of political systems. The main features of the formation of political institutions in the countries of the region are considered, and the latest trends in their development are analyzed. Considerable attention is paid to conflicts in the space of Post-Soviet Eurasia, their place and role in the trans-formation of the modern world order. The key economic trends are also in the focus of the book.
Cyanotoxins bioaccumulation by fish in an anthropized reservoir in central Mexico
Authors: Garita-Alvarado Carlos A. , Bermúdez-González María Pamela , Bojorge-García Miriam G. , Cantoral Uriza Enrique A.
Published: May 2024

The bioaccumulation of cyanotoxins has been well documented in exposed organisms including fish, which represent a potential route to cyanotoxins transfer to humans by consumption of contaminated food. We determined the bioaccumulation of neurotoxic saxitoxins and hepatotoxic microcystins in muscle and liver/viscera of native (Goodea atripinnis), introduced (Poeciliopsis gracilis), and commercially important (Oreochromis niloticus) fish in Santa Catarina, an anthropized reservoir in Central Mexico. Additionally, we calculated the potential risk of human exposure due to the consumption of the studied species. The Santa Catarina Reservoir showed some physical and chemical water parameters generally associated with cyanobacterial blooms (e.g., high phycocyanin, chlorophyll-a, dissolved phosphorus concentrations, and alkaline pH) with presence of cyanotoxins produced by the cyanobacteria genera Microcystis, Dolichospermum, and Planktothrix, which were found in dissolved and particulate (sestonic) fractions of water. Moreover, we detected the presence of saxitoxins and microcystins in the tissues of all species studied. The risk of intoxication for humans was lower for the consumption of Nile tilapia muscle than for the other analyzed species, whose consumption should be avoided since it exceeds the recommended daily intake of microcystins for a short-term (i.e., two-week exposure time). These findings are remarkable because commercial fishing in reservoirs and the consumption of these fish could represent a route to human exposure to toxins, particularly microcystins. Our results highlight the need for the detection of cyanotoxins and the evaluation of their bioaccumulation by fish in unstudied eutrophic waterbodies, to reduce the potential health risk for humans and the environment.
Collaborative Smart Production Supply Chains with Blockchain Based Digital Product Passports
Authors: Stodt Fatemeh , Maisch Nicolai , Ruf Philipp , Lechler Armin , Riedel Oliver , Reich Christoph
Published: May 2024

For the purpose of improve the sustainability of products sold in the EU, Digital Product Passports is a mandatory solution. These passports would systematically gather information about products, such as detailing the materials involved to aid recycling and remanufacturing efforts, or recording the emissions produced throughout the manufacturing process. The overall goal is the establishment of a circular economy in the EU. Current research on Digital Product Passports is focused on collating content for sector-specific applications. However, achieving sustainability goals through Digital Product Passports will require new methods and technical solutions for digital collaboration between supply chain participants, especially in the manufacturing sector. Collaborative work on Digital Product Passports requires trust and traceability in data and access management to ensure privacy over the data contained. One way to enable this securely and confidentially is through the use of blockchain technology, in which stored data cannot be concealed, which is key to the traceability of digital product data documentation. This paper therefore presents a concept for the implementation of generically applicable cross-industry blockchain-based digital product passports. To this end, generic supply chain processes have been abstracted and condensed into the architecture of smart contracts. Great attention is paid to the establishment of traceability as well as privacy through the selection of the blockchain technology Secret Network in combination with Gaia-X functionalities. An illustrative use case for digital product passports in manufacturing is used to demonstrate the applicability of the presented concept. In this use case information about the digital nameplate and carbon footprint is exchanged securely and confidentially in a multi-tenant supply chain network based on the Industry 4.0 infomation model of the Asset Administration Shell.
Breast Cancer Detection using Mammography: Image Processing to Deep Learning
Authors: Qureshi Shahzad Ahmad , Rehman Aziz-ul- , Hussain Lal , Shah Syed Taimoor Hussain , Mir Adil Aslam , Williams Darnell K. Adrian , Duong Tim Q , Chaudhary Qurat-ul-ain , Habib Natasha , Ahmad Asrar , Shah Syed Adil Hussain
Published: May 2024

Breast cancer stands as a predominant health concern for women globally. As mammography is the primary screening tool for breast cancer detection, improving the detection of breast cancer at screening could save more lives. This mammography re-view paper provides a systematic review of computer-aided techniques during a specific time frame for the segmentation and classification of microcalcification, evaluating image processing, machine learning, and deep learning techniques. The systematic review is meticulously carried out, adhering closely to the preferred reporting items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. This article focuses on mammographic breast cancer detection approaches based on automated systems, discussed chronologically from 1970 through 2023. This article encompasses the breadth of artificial intelligence-based methods from the most primitive to the most sophisticated models. Image processing and machine learning-based methods are compre-hensively reviewed. The evaluation of a deep learning architecture based on self-extracted features for classification tasks demonstrated outclass performance. Large-scale datasets required for a broader and in-depth analysis of novel methods for breast cancer detection are also discussed in this article. This research work is aligned with the United Nations' sustainability de-velopment goals.
Advancements in ADS-B Security: A Comprehensive Survey of Vulnerabilities, Mitigation Strategies, System Requirements, and Emerging Research Trends
Authors: Ahmed Waqas , Anwar Bhatti Naveed , Masood Ammar , A. K. Alharbi Abeer , Alotaibi Salihah
Published: May 2024

The Automatic Dependent Surveillance-Broadcast (ADS-B) protocol stands as a cornerstone in modern aviation surveillance and Aircraft Traffic Control systems, integral to the NextGen project initiated by the US Department of Federal Aviation Administration (FAA) in 2005. ADS-B utilizes data links to autonomously broadcast Aircraft navigational and identification information to augment air transportation system capacity and safety. However, concerns regarding the protocol's security persist, particularly as its adoption expands. The unencrypted nature of transmitted aircraft data and the absence of robust authentication mechanisms render the protocol susceptible to exploitation by malicious actors. In this study, we comprehensively reviewed existing research in the field, identifying a crucial gap necessitating a holistic survey. Prior surveys have predominantly focused on specific aspects, such as vulnerabilities, attacks, or critiques of existing solutions. Our survey addresses this gap by thoroughly exploring the aviation system, providing readers with a nuanced understanding of ADS-B security. Utilizing a detailed SWOT analysis diagram, our paper delves into the vulnerabilities inherent in the ADS-B protocol outlines potential threats and scrutinizes various attack scenarios. We systematically categorize and analyze existing security solutions, considering cost-effectiveness, scalability, implementation complexity, and coverage against diverse attack vectors. Furthermore, we critically evaluate these solutions, elucidate ADS-B security requirements, discuss current challenges, and propose future research directions. This survey serves as a comprehensive resource for researchers and practitioners alike, shedding light on the multifaceted landscape of ADS-B security and paving the way for enhanced aviation system resilience in the face of evolving cybersecurity threats.
The Effectiveness and Cost Outcomes of Korean Medicine for Anxiety Disorders: A Retrospective Case Series Study
Authors: Lee So-Young , Yoo Jong-Ho , Seo Sang-Il , Lee Ji-Eun , Kim Geun-Woo , Cho Eun
Published: May 2024

Anxiety disorders affect patient quality of life (QoL). This study aimed to examine the associations between improved QoL and reduced clinical symptoms and Korean medicine (KM) in patients with anxiety disorders. Medical records of patients with anxiety who were treated with KM (acupuncture, Anxiety disorders affect patient quality of life (QoL). This study aimed to examine the associations between improved QoL and reduced clinical symptoms and Korean medicine (KM) in patients with anxiety disorders. Medical records of patients with anxiety who were treated with KM (ac-upuncture, psychotherapy, Chuna therapy, aromatherapy, or herbal medicine) for at least 4 weeks were retrospectively analyzed. Clinical, QoL, and cost outcomes were measured at baseline and at 4 and 12 weeks (Anxiety: State-Trait Anxiety Inventory[STAI X-1(state), X-2(trait)], Beck Anxiety Inventory[BAI]; anger: State-Trait Anger Expression Inventory State[STAXI-S(state), T(trait)], Anger Expression Inventory[AXI-K-I(anger-in), AXI-K-O(anger-out), AXI-K-C(anger-control); depression: Beck Depression Inventory-II[BDI II], QoL: QoL-related instruments Euro Quality of Life 5 Dimensions utility score[EQ-5D], Euro QoL Visual Analog Scale[EQ-VAS]). The quali-ty-adjusted life years (QALYs) and average cost-effectiveness ratio of KM for anxiety were esti-mated. The medical records for 67 patients were evaluated. KM treatments were found to be as-sociated with decreased anxiety (STAI X-1; STAI X-2; BAI, p
Revolutionizing Quantum Computing: Essence-Units and Energy States as Fundamental Programming Units
Authors: Rybalov Alexander , Naich Michael
Published: May 2024

Harnessing Quantum Energy States for Unprecedented Computing Capabilities In this proposal, we advocate for the use of energy states as fundamental units of quantum computer programming. Each unit of programming is conceptualized as an energy state, manifested as an essence-unit. An essence-unit, defined as the minimal form encapsulating complete uniqueness or specificity, serves as the cornerstone of this paradigm. This approach enables the recording of various forms of matter on quantum computers in essence-units, portraying their energy states. The recording of energy states is achieved through the creation of four distinct coherent potentials, facilitated by quantum dots or crystals. Crucially, these energy states embodied in essence-units resist subdivision. The study explores the intricate relationship among similarity, fractals, and uniqueness in quantum dot operations, revealing their profound implications for information transfer efficiency. Normalized entropy characterizes charge localized in quantum dot impurities in systems that have distortions. Through the utilization of N-level recording and entropy-fractal dimension equivalence, the paper elucidates the potential of quantum dots in reducing transmission time and modeling complex systems. The proposed methodology signifies a paradigm shift in quantum computing, presenting unparalleled possibilities for tackling hitherto insurmountable challenges.
HEI Students Literacy on Sustainable Use of Potable Water
Authors: Barreiros Ana , Durão Anabela , Galvão Ana , Matos Cristina , Mateus Dina , Araújo Ivo , Neves Luis , Mourato Sandra
Published: May 2024

High Education Institutions (HEI) play a key role in fostering sustainability since students will be future active society members. By providing them with the knowledge, skills, and mindset needed to address environmental challenges, they can contribute to increase sustainability in a long-term approach. With the effects of climate change strongly affecting water availability across planet, it is increasingly relevant to understand if higher education students are aware of this situation, to develop adequate measures to promote sustainable behaviors regarding water uses. This study aimed to assess students’ perceptions regarding water efficiency through a questionnaire submitted in 7 HEI in Portugal. Students recognized the importance of water with older students, women and science students demonstrating a greater awareness. Inspite of this 27% students do not know what the average water consumption in Portugal is and only 18% accurately reported the consumption range in Portugal. There is also a lack of knowledge (>50% students) if common water efficiency measures are applied in their HEI. The main information sources identified by the students were “social communication” and “internet/social media”, revealing that water efficiency knowledge transfer in high education can be improved.
Facial Pain Expression Detection System using TXQEDA-Deep for Pain Evaluation
Authors: Aliradi Rachid , Chenni Nidhaleddine , Touami Mohammed , Ejbali Ridha , Benaoun Najib
Published: May 2024

Identification and measurement of pain are critical aspects of designing effective pain management interventions aimed at alleviating suffering and preventing a functional decline in the health medical domain. Traditional methods of pain identification rely on verbal patient reports or observable signs. However, these approaches may be imprecise or subjective due to the variability in patient self-assessments. Therefore, there is a pressing need for automated methods that can standardize pain measurement procedures. In this paper, we propose a novel facial expression-based automated
pain assessment system as a behavioral indicator for pain evaluation. Our system integrates a fusion structure comprising Convolutional Neural Networks (CNNs) and Tensor-based extended Quantitative Expression Descriptors Analysis (TXQEDA). This innovative approach allows for the joint learning of robust pain-related facial expression features from raw facial images, combining RGB appearance with shape-based latent representation. We extensively evaluated our proposed model using the UNBC-McMaster dataset for pain classification and intensity estimation. Our results demonstrate the efficacy of the proposed technique, achieving an impressive accuracy of 98.80% for pain level classification. Furthermore, our system excels in pain intensity estimation, showcasing its potential to provide precise and reliable assessments of pain severity. Overall, our research underscores the importance of automated pain assessment systems in improving patient care and clinical outcomes. By leveraging advanced deep learning techniques and fusion strategies, our proposed model offers a promising approach for standardizing pain measurement procedures and enhancing the quality of pain management interventions.
Maximizing the Average Environmental Benefit of a Fleet of Drones under a Periodic Schedule of Tasks
Authors: Levner Eugene , Kats Vladimir
Published: May 2024

Unmanned aerial vehicles (UAVs, drones) are not just a technological achievement based on modern ideas of artificial intelligence; they also provide a sustainable solution for green technologies in logistics, transport and material handling. In particular, using battery-powered UAVs to transport products can significantly decrease energy and fuel expenses, reduce environmental pollution, and improve the efficiency of clean technologies through improved energy-saving efficiency. We consider the problem of maximizing the average environmental benefit of a fleet of drones given a periodic schedule of tasks performed by the fleet of vehicles. To solve the problem efficiently, we formulate it as an optimization problem on an infinite periodic graph and reduce it to a special type of parametric assignment problem. We exactly solve the problem under consideration in O(n3) time, where n is the number of tasks performed by vehicles.
Comparison of In Vitro Models for Drug-Induced Liver Injury Assessment
Authors: Kim Nam-Ju , Bang Ji-Hyun , Yi Hee , Ku Hyun-Ok , Kim Joong-Sum , Yun Seon-Jong , Jeon Byung-Suk
Published: May 2024

Drug-induced liver injury (DILI) stands as a significant cause of drug attrition. To mitigate clinical DILI risks, assessing drugs using human liver models is crucial since animal studies may fall short due to species-specific liver pathway variations. Cell-based preclinical hepatotoxicity testing is often pertinent. In the present study, cells from a human liver cancer line (HepG2, HepaRG) were cultured in both formats of 2D and 3D spheroids to explore their responses to drugs. Liver-specific marker expressions across cell lines and culture formats were also examined to assess disparities in drug-induced liver injury marker expressions. In cytotoxicity assays, HepG2 cells exhibited heightened sensitivity to amiodarone HCl, while HepaRG cells showed greater sensitivity to acetaminophen. Generally, 2D cultures were more responsive to drugs than 3D cultures. Consistency was observed between cytotoxicity assays and liver injury markers AST and ALT. Variations were also noted in liver cell marker secretion, with albumin and urea concentrations declining post-drug treatment, particularly with higher baseline expression in HepaRG cells and 3D cultures. Additionally, mRNA expression levels of CYP enzymes involved in hepatocellular drug metabolism were compared following treatment with enzyme inducers. CYP1A2 and CYP2C9 were not expressed in HepG2 cells. On the other hand, CYP3A4 was expressed higher in 3D culture than in 2D culture. HepaRG cells exhibited significantly increased expression of all three enzymes post-treatment. Notably, enzyme expression was notably higher in 3D cultures than in 2D cultures. Collectively, these findings suggest that HepaRG cells and 3D cultures hold promise for evaluating DILI during early-stage drug development.
Artificial Intelligence Integrated Energy Education Framework. A Holistic Approach
Authors: Stecyk Adam , Miciuła Ireneusz
Published: May 2024

This scientific article outlines the Artificial Intelligence Integrated Energy Education Framework (AI-IEEF), a transformative model designed to revolutionize energy education and management practices. The framework is organized into five distinct layers: Organizational (AI-enhanced administration systems), Financial (dynamic AI financial models), Technology (advanced simulation and modeling), Methodology (AI in curriculum development and personalized learning), and Social (AI for community engagement and impact). An expert panel used the fuzzy Delphi method to achieve consensus on twenty key factors within these layers, establishing a solid foundation for analysis. Following this, the Fuzzy Analytic Hierarchy Process (AHP) was employed to calculate precise weights for each layer and their respective factors, providing a quantitative assessment of their relative importance. These weight calculations are crucial, as they guide resource allocation and strategic decision-making to ensure the framework is optimized for the evolving needs of energy management. Furthermore, the article introduces five tailored variants of the AI-IEEF, each addressing specific aspects of energy education and offering a comprehensive approach to navigating the challenges in the field. The five variants include the Smart Campus Energy Education, Global Energy Policy Analysis, Renewable Energy Research and Development, Energy Workforce Development, and Community Engagement and Outreach variants. Each provides a distinct approach to energy education, from transforming campuses into living labs for hands-on learning to fostering international collaborations that explore the global implications of energy policy. These variants emphasize practical skills, policy analysis, and community-focused solutions, ensuring that students are well-prepared to contribute effectively to the energy sector.
India Environmental Policy: A Systematic Literature Review impact of Air Pollution toward Taj Mahal
Authors: Mujiburrahman Mujiburrahman , Kahffi Ashabul , Januar Eka , Harahap Raegen
Published: May 2024

This paper focuses on environmental policies for mitigating the impacts of climate change on the Taj Mahal, an iconic structure built on the banks of the Yamuna River from 1632 to 1653 with a blend of Persian and Indian architectural styles. The Taj Mahal is threatened by damage caused by climate change, including air pollution resulting in acid rain and floods that lead to erosion and discoloration of the main marble material of the Taj Mahal. This study employs a Systematic Literature Review (SLR) of peer-reviewed journal articles with a primary focus on environmental policy, the impacts of climate change, and the preventive measures undertaken by the Indian government. Based on the analysis of 270 papers, it is concluded that out of the total, 30 papers specifically address objectives relevant to this research. The study period spans from 2014 to 2024. The research findings reveal that air pollution has a significantly adverse impact on the Taj Mahal. Furthermore, nine policies are generally identified from the journal literature review aimed at preserving and protecting the Taj Mahal from the negative effects caused by air pollution.
A Comparative Study of Susceptibility and Hazard for Mass Movements Applying Quantitative Machine Learning Techniques. Case Study: Northern Lima Commonwealth, Peru
Authors: Badillo-Rivera Edwin Noe , Olcese Huerta Manuel Daniel , Santiago Chirinos Ramiro , Poma Inche Teófilo Ivan , Muñoz Fernandez Neftalí Euclides , Rojas-León Carlos Alberto , Chávez Campos Teodosio Juan , Eyzaguirre Gorvenia Luz de Fátima , Rodriguez Aburto César Augusto , Oyanguren Ramírez Fernando José
Published: May 2024

This study addresses the importance of conducting mass movement susceptibility mapping and hazard assessment using quantitative techniques, including machine learning, in the Northern Lima Commonwealth (NLC). Previous exploration of the topographic variables revealed high correlation and multicollinearity among some of them, which led to dimensionality reduction through principal component analysis (PCA). Six susceptibility models were generated using weights of evidence, logistic regression, multilayer perceptron, support vector machine, random forest, and naive Bayes methods to produce quantitative susceptibility maps and assess the hazard associated with two scenarios: the first being an El Niño phenomenon and the second being an earthquake exceeding 8.8Mw. The main findings indicate that machine learning models exhibit excellent predictive performance for the presence and absence of mass movement events, as all models surpassed an AUC value of >0.9, with the random forest model standing out. In terms of hazard levels, in the event of an El Niño phenomenon or an earthquake exceeding 8.8Mw, approximately 40% of the NLC area would be exposed to the highest hazard levels. It also highlights the importance of integrating methodologies to reduce model uncertainty, such as comprehensive analysis of variables supported by high quality data and organized workflows. The findings of this research are expected to serve as a supportive tool for land managers in formulating effective disaster prevention and risk reduction strategies.
Rapid Modeling Method for Airborne FSS Radomes Based on Dynamic Customizable Primitives
Authors: Qiu Cunai , Li Shen , Zhang Wenwu , Song Liwei , Li Xiang , Yan Zhongen , Chen Yue , Suo Saisai
Published: May 2024

The digital model of airborne frequency selective surface radomes (AFSSRs) is the basis of design, simulation analysis, manufacturing, and other related research of AFSSRs. This paper proposes a rapid modeling method of AFSSRs based on dynamic customizable primitives. Firstly, a layered digital model construction scheme of AFSSR is presented based on the typical radome wall structure. Then, according to the characteristics of various surface configurations and complex wireframe information of AFSSRs, the dynamic primitives are raised to express the boundary and contour information of all kinds of radomes. Focusing on the undevelopable characteristics of the aero-dynamic shape surface of the AFSSR, the arrangement solution and mapping method for frequency selective elements on undevelopable surfaces are proposed. Furthermore, the imple-mentation logic of this method on the creation of each layer model and the assembly of the whole machine model is introduced. Finally, according to this method, a rapid modeling system (RMS) is established, and the modeling effect and efficiency of the RMS are demonstrated and compared, which verifies the feasibility and effectiveness of this method.
Numerical modeling of piezoconductive processes in a two-dimensional formulation for a fractured-pore type reservoir
Authors: Uzyanbaev Ravil Munirovich , Bobreneva Yuliya Olegovna , Poveschenko Yuri Andreevich , Podryga Victoria Olegovna , Polyakov Sergey Vladimirovich , Gubaydullin Irek Marsovich
Published: May 2024

The process of two-phase filtration in a carbonate formation of fractured-pore type is considered. A mathematical model in a spatially two-dimensional formulation is proposed, a numerical method for solution and a parallel algorithm for its implementation are developed. The mathematical model is based on the Buckley-Leverett approach. The reservoir takes into account the exchange of fluids between low-permeability pores and natural fracturing, specified within the framework of the dual porosity model. The numerical algorithm is based on the use of the finite difference method and the splitting scheme by physical processes. To speed up calculations, a parallel algorithm based on two-dimensional domain decomposition is used. Numerical experiments were carried out, which showed that the developed algorithm is highly efficient and allows one to calculate the necessary characteristics of the modeled physical process.
Peran Mal Pelayanan Publik (MPP) Kabupaten Pati dalam Perlindungan Pekerja Migran Indonesia (PMI)
Authors: Fitriyono Junaidul
Published: May 2024

The Pati Regency Public Service Mall (MPP) is an alternative solution for people who need public services in one place. One service that is widely used is the facilitation of prospective Indonesian Migrant Workers (CPMI) who will work abroad. With the presence of agencies related to the CPMI placement process such as BP2MI, the Manpower Office, the Population and Civil Registration Office, the Office of the Ministry of Religious Affairs and the Immigration Office, it is expected that CPMI will be facilitated in the process of preparing their administrative documents. The employees placed at MPP of Pati Regency are employees who have the capability and knowledge related to the main tasks and functions of each agency, and have interpersonal communication skills in order to provide a comprehensive explanation to CPMI regarding the requirements, stages and procedures for applying for administrative documents. Collaboration, coordination and synergy between agencies is one of the keys to improving the quality of services available at MPP of Pati regency for CPMI. Hopefully, the MPP of Pati regency can provide end-solution service products so that the general public can obtain services in one place.
Eksplorasi Motivasi Pelayanan Publik pada Petugas Pemasyarakatan di Lembaga Pemasyarakatan X
Authors: Iskandar Irvan Sebastian , Pangestuti Naniek , Kusmiyanti Kusmiyanti
Published: May 2024

Bagi pekerja di sektor publik faktor internal seperti motivasi juga menentukan keberhasilan dan menjadi langkah pertama yang menentukan kinerja optimal mereka dalam melaksanakan tugas pelayanan publik, termasuk para petugas pemasyarakatan sebagai aparatur negara penegak hukum yang bekerja di Lembaga Pemasyarakatan yang menjadi tanggung jawabnya. Motivasi tersebut dikenal sebagai motivasi pelayanan publik sebagai bentuk ekspresi dari motif, perilaku, dan nilai pro-sosial sebagai kecenderungan individu melakukan perilaku altruistik serta keinginan bekerja untuk melayani kepentingan publik. Motivasi pelayanan publik di kalangan petugas pemasyarakatan menjadi sesuatu yang menarik untuk di eksplorasi lebih mendalam karena kondisi dan lingkup tugasnya yang tidak biasa karena berurusan dengan para pelanggar hukum. Dengan menggunakan penelitian kualitatif secara analisis deskriptif, penelitian ini mencoba mengeksplorasi hal-hal apa saja yang menjadi motivasi pelayanan publik para petugas pemasyarakatan yang bekerja di Lembaga Pemasyarakatan X. Hasil penelitian menemukan bahwa ketertarikan terhadap organisasi dan lingkup profesi pekerjaan sebagai aparatur sipil negara, gaji atau kompensasi, rasa empati dalam pekerjaan, komitmen dan pengorbanan diri, dan harapan terhadap karir menjadi poin-poin penting yang membentuk motivasi pelayanan publik para petugas pemasyarakatan di lembaga pemasyarakatan X.
Montage Mastery Revolutionizes Global Children's Motor Skills
Authors: Fariska Vira Aulia , Nisak Aulina Choirun
Published: May 2024

This study examines the effectiveness of Pictorial Montage activities in enhancing fine motor skills among 5-6-year-old children in group B. Conducted through Classroom Action Research (CAR) with iterative cycles, the research involved 11 students from TK Tunas Bangsa Sukodono. Data collection included observation, interviews, and documentation. Results showed a gradual increase from 47% in pre-cycle to 90.1% in cycle II, indicating success in improving fine motor skills. These findings underscore the importance of engaging methods like Pictorial Montage for effective motor skill development in early childhood education.
 
Highlight: 

Montage enhances motor skills in children.
Iterative CAR method for skill assessment.
Notable improvement in fine motor proficiency.

 
Keyword:  Fine motor skills, Pictorial Montage, Early childhood education, Classroom Action Research, Skill enhancement
GENDER EMPOWERMENT: INTERFACE WITH GEOGRAPHIC SPACE AND SUSTAINABILITY
Authors: Ferreira Cláudia Aparecida Avelar , Carvalho Paulo Fernando Braga , Nunes Simone Costa
Published: May 2024

The objective of this work is to analyze empowerment based on gender and racial equality in Brazilian society. We have performed documental and quantitative research using data extracted from the Brazilian Institute of Geography and Statistics, Center of Educational, Cultural and Community Action Studies and Research and Union Socioeconomic Statistics and Studies Department databases. The data indicates that girls present greater age-grade distortion than boys, and the black population is at a disadvantage compared to the white population in higher education from ages 18 to 24. Black women are at a disadvantage in relation to black men, as white women are with white men in terms of inclusion in the Brazilian workforce and average salaries. In addition, they are under-represented in managerial positions, and there is a disadvantage in terms of gender in every state in Brazil. Black women suffer the most social inequality in the workforce. This study considers the criterion of race, because black people make up more than half of the Brazilian population. The female and racial geography, it points out that social and racial inequality is a compromising factor for achieving the goal of the 2030 Agenda.
SOBRE GEOGRAFIAS, FEMINISMOS, MASCULINIDADES, HOMOEROTISMO E ALGUNS ELOGIOS RACISTAS
Authors: Dantas Siqueira Pequeno Victor
Published: May 2024

Neste artigo proponho uma discussão teórico-conceitual que articula Geografia, teorias feministas, teorias queer e experiências pessoais. Trata-se, pois, de um estudo qualitativo-exploratório fundamentado na revisão narrativa e na autonarrativa. A pergunta-guia consistiu em: Como e de que forma o meu corpo, masculinidade e a minha negritude são interpretadas, significadas e desejadas por homens gays brancos em aplicativos de relacionamentos?Uma questão de ordem pessoal que ao mesmo tempo se apresenta como um sintoma e/ou patologia social da nossa cultura corpocêntrica, racista e misógina. Meu interesse em analisar e problematizar esta pela lente das Geografias feministas e das teorias queer foi o de exprimir os conteúdos espaciais e temporais que atuam quando do agenciamento de nossa corporeidade e do estabelecimento de nossas relações sociais e afetivo-sexuais. Defendo que a grafia mais transformativa para com a realidade que nos acontece é aquela que emerge dos nossos sentidos e sentimentos.
NORMAIS CLIMATOLÓGICAS DA PRECIPITAÇÃO PLUVIOMÉTRICA NOS MUNICÍPIOS DE JOÃO PESSOA E CAMPINA GRANDE, ESTADO DA PARAÍBA ENTRE 1981 A 2020
Authors: Bezerra do Nascimento Maxsuel , WALTER HILÁRIO DA SILVA ISRAEL , Moises Santos e Silva Claudio
Published: May 2024

Segundo a Organização Meteorológica Mundial (OMM) as normais climatológicas são valores médios das variáveis meteorológicas calculados a partir de observações ao longo de 30 anos. Esses valores médios são importantes para a realização de estudos sobre a precipitação e outras variáveis climáticas, pois ajudam a compreender a dinâmica climática de cada município, estado, bacia ou região do país. Além disso, permitem analisar a duração dos períodos chuvosos e secos, o que pode auxiliar na estratégia de gestão hídrica e econômica das regiões. O objetivo da presente pesquisa foi analisar mudanças na variabilidade climática de dois municípios: Campina Grande (CG) e João Pessoa (JP) do estado da Paraíba com base nas climatologias, 1981-2010 e 1991-2020. Para isso, utilizou-se dados obtidos do portal do Instituto Nacional de Meteorologia (INMET). Os métodos utilizados foram de ponderação regional e a dupla massa para o preenchimento de falhas, além disso utilizou-se o método de Krigagem para a espacialização dos dados no software QGIS e Golden Software Surf. As normais climatológicas temporal mensal do município de Campina Grande apresentam dois períodos distintos: um chuvoso de março a agosto, e um período seco de setembro a fevereiro. Em João Pessoa o período chuvoso vai de março a julho, e o seco de agosto a fevereiro. Os resultados apontam que a precipitação do período chuvoso tem diminuído na ordem de 1% em ambas as cidades. Com as normais climatológicas espaciais mensais de CG e JP, foi possível evidenciar características no decorrer dos meses, com alternância entre aumento e diminuição da precipitação no espaço-tempo.