bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing Adaptive Learning Space by Integrating Technology to a Sustainable Classroom
Authors: Hotar Nükhet , Baran Bahar , Tokuç Ayça , Güzel Esra Bukova , Akdoğan Ferit Serkan , Karagöz Emre , Güney Lütfiye Özge , Yıldız Cem , Yacı Şirin Nur , Eraslan Deniz , Dizdaroğlu Aylin , Apdik Seda Nur , Tanaslan Murat , Bozdağ Özgür
Published: August 2024

It is imperative to consider what adaptive and innovative learning spaces should include if higher education institutions want their students to be open to learning, creative thinkers and digitally literate. This chapter of the book starts with a review of sustainable learning spaces and continues with the introduction of technological developments (AI, IoT, Hybrid Education, VR, etc.) that transform traditional learning spaces into innovative spaces that better meet the needs of learners in terms of pedagogy, interaction, progress, measurement and assessment. Finally, the meta-classroom model, developed as a result of a project by authors from different disciplines such as educational technology, architecture, computer science, etc., is presented as an adaptive learning space model for higher education. This model prioritises diverse learning needs, takes into account the thermal comfort and indoor air quality of stakeholders in the classroom, enables lifelong learning and encourages learners' creative thinking and problem-solving skills in a collaborative learning environment.
Implementation of Blended Learning Methodology in Course Instrumental Methods of Analysis to Facilitate the Subject Adaptation and Learning Enhancement
Authors: Inamdar Poonam , Kolsure Anuja , Gawade Ashwini , Kothawade Sachin Namdeo
Published: August 2024

Conventional learning methodologies in chemistry had limited its efficacy with respect to the subject adaptation by the learner. Innovative teaching learning methodologies such as experiential learning, blended learning, and problem-based learning are considered the evolutionary methods for the subject adaptation by the learner. Implementation of blended learning technology in analytical chemistry had not been explored at undergraduate level. Design of blended learning methodology of the subject instrumental methods of analysis during the classroom sessions and its efficiency over conventional teaching was assessed using feedback from questionnaires. The questionnaire included feedback that was centered on the two main goals of assisting students in adopting the subject and improving their learning. A questionnaire based on students' learning-centric behavior was created in order to examine their affirmative answers to the same.
Bridging the Gaps of “Science/Social Science Education-Technology” With Values-Based Framework Development
Authors: Ng Khar Thoe , Parahakaran Suma , Intaratat Kamolrat , Guan Xing Zhi , Lay Yoon Fah , Ng Jing Hang , Ong Eng Tek , Ng Yu Yan , Retnowati Endah , Fukui Masanori , Anggoro Subuh , Kumar Rajendra
Published: August 2024

Technological innovations in digital era has modified the landscape of education to be in line with industrial revolution,but created some psycho-sociological impacts to the society affecting healthy lifestyle. This paper reports on values-based sustainable STREAM education (VabsSTREAM) blended-mode transdisciplinary approaches to learning outcomes in higher education focusing on Science/Social Science education. Mixed-research was implemented involving mixed-mode of data collection/analysis methods. Literature review is made on related definitions, thereafter framework is developed bridging the gaps of ‘Science (Biotech/Health Science), Social Science (Arts/Music/Cultural) Education (& Comparative Studies) and Technology'. Qualitative analysis involving multiple-case analysis with digital output reflecting framework and exemplary cases are reported. Illustration is made on how the design of Structural Model can be developed based on the framework designed for VabsSTREAM. Implications and significance are discussed with suggestions for future studies on knowledge management.
Machine Learning-Driven Design of Quantum Batteries for Sustainable Energy Storage
Authors: Kale Prajwal R. , Dongre Kiran A. , Pattanaik Bala Chandra , Ranjit P. S.
Published: August 2024

This exploration composition investigates the new conception of applying machine literacy ways to develop amount batteries, adding the possibilities for sustainable energy storehouse by erecting amount batteries. Due to common restrictions, traditional battery design styles can be challenging to optimise for effectiveness, continuance, and environmental impact. The key to this design is to use machine literacy ways to alter the processes involved in battery design. Machine literacy ways are able to efficiently assay large datasets, soothsaying battery performance, and relating the stylish material compositions for amount batteries. The operation of machine literacy driven design has the implicit to expand the possibilities for energy storehouse technology. As a result, batteries with lesser capacity, stability, and environmental benevolence can be produced. By assaying machine literacy ways and the introductory architectural principles of amount batteries in detail, this exploration aims to give light on the implicit benefits and challenges related to this innovative system.
Optimizing Power Grid Resilience Through Quantum Computing
Authors: Neelima P. , Satyanarayana V. , Sangeetha G. , Pattanaik Bala Chandra
Published: August 2024

The operation of volume computing is being carried out as part of this exploratory work with the thing of enhancing the rigidity of power grids. Because energy systems are getting less complex and more dynamic, this is done in order to give results to the problems that are being caused by these systems. Through bettered fault discovery, hastily response times to dislocations, and more effective grid exertion optimization, amount computing holds pledge for perfecting grid rigidity. This work aims to explore the implicit ways in which amount computing could achieve these improvement objects. The disquisition has made clear the implicit need to drop the impact of natural disasters, cyberattacks, and outfit failures on the power system's armature. This was achieved by taking advantage of volume algorithms and processing power. quantum computing yields new results for icing grid severity, responsibility, and stability. These findings are given in response to arising issues and troubles. These new results are the result of advancements made to real- time analytics and optimization ways.
Quantum Computing in the Era of Intelligent Battery Design
Authors: Suresh J. , Krishna R. V. V. , Satyanarayana V. , Sumathy R.
Published: August 2024

Quantum computers can fix problems that regular computers can't. Quantum computing is used to quickly find new materials with useful properties, correctly simulate electrochemical processes at the atomic level, and make batteries work better and last longer by tweaking their structures. The authors also look into how quantum models can help us understand the complexities of charge transport, interface phenomena, and degradation pathways in batteries better. Combining quantum computing with research methods like quantum sensing and quantum annealing might make it easier to test theoretical theories and get around problems that come up in real life. Scientists can learn more about how batteries work by using quantum computing. This will lead to the creation of advanced battery management systems and personalized energy storage solutions. This work shows how quantum computing is changing the way batteries are designed, optimized, and understood. As a result, it starts a major shift in energy storage systems that makes them much more efficient and better for the environment.
Quantum-Assisted Artificial Intelligence in Chemical Reaction Prediction
Authors: Sushama C. , Krishna R. V. V. , Satyanarayana V. , Jayanthi G.
Published: August 2024

Researchers are excited to use these tools to guess reactions that haven't been seen before because they can guess chemical reaction paths, along with the ratios and transition state energy that go with them. Because of this, the methods used to create new ways to use quantum chemical models to guess what reactions will happen are very important. Here are a few examples of how computational methods have been used instead of time-consuming and expensive tests to find new reactions, catalysts, and ways to make complex molecules. Our research also looks at the newest, most cutting-edge methods and possible future developments in this area that is growing very quickly. Our results show that quantum-assisted AI has the ability to completely change the field of computational chemistry, especially when it comes to predicting chemical reactions and making computers faster and smarter.
Towards Green Chemistry Quantum Computing Applications in Chemical Synthesis
Authors: Srivani N. , A. Vinay Chandra , Ramesh Kola , Kumar Y. B. Kishore
Published: August 2024

In the trouble to achieve chemical emulsion that's both sustainable and kind to the terrain, the objectification of quantum computing has a major pledge. In this work, the lately arising content of green chemistry is delved, with a particular emphasis placed on the operations of volume computing in chemical mixing. Quantum calculating provides an unknown position of computational capacity, with the capability to bluffing molecular structures and responses with an unfathomable position of slyness and effectiveness. researchers can make new chemical pathways, optimize response circumstances The purpose of this work is to present a review of current advancements in quantum computing applied to chemical emulsion and to examine the implicit implications for manufacturing processes that are more environmentally friendly and sustainable. This will be fulfilled through the community of volume computing and the generalities of green chemistry.
Harmonizing Financial Returns With Ethical Standards
Authors: Malhotra Prem
Published: August 2024

In today's rapidly changing technology landscape, incorporating artificial intelligence (AI) into multiple enterprises offers significant financial benefits. However, these opportunities come with ethical concerns about the proper development and deployment of AI systems. This chapter provides a technique for investors to balance financial returns and ethical standards by investing in responsible AI efforts. By prioritizing concepts such as transparency, justice, accountability, and societal effect, investors can not only reduce the risks associated with unethical AI activities, but also help to create socially responsible technology. Through a combination of qualitative analysis and case studies, this chapter investigates the potential benefits and obstacles of investing in responsible AI, providing insights for investors looking to navigate this developing sector while following ethical principles.
Transforming Healthcare
Authors: Gupta Vedangi , Singh Avneet , Singh Harjit , Chaudhary Eeshaan
Published: August 2024

This study mainly explores the next phase of generative artificial intelligence and its benefits in healthcare. This work explores the changes artificial intelligence can bring to this sector, including artificial neural networks and adaptive autoencoders to develop self-healing models by collecting patient information, data, and existing research studies. These artificial intelligence systems can create curated plans for treatment that will benefit the patient. This will help improve treatment outcomes while reducing their side effects and overall outcomes for everyone with the disease. This chapter also explores the commitment of artificial intelligence in healthcare, discusses the issues and ethics, and suggests fields for future research, studies, and applications.
Navigating the Frontier of Generative AI Integration in Healthcare
Authors: Kaduskar Vikas P. , Mhetre Harshada V. , Khatavkar Supriya M. , Chougule Prashant A. , Patil Mangal V. , Moje Ravindra J. , Naik Nithesh
Published: August 2024

This chapter delves into the potential impact of generative artificial intelligence (AI) in healthcare, including its influence on drug development, personalized medicine, patient care, and diagnostics. It also addresses ethical implications, regulatory challenges, privacy concerns, and the need for a robust governance framework. The chapter discusses governance models, regulatory bodies, industry standards, ethical considerations, fairness and equity in AI applications, and current laws and regulations governing AI in healthcare. It concludes by offering insights into emerging trends, future challenges, and actionable recommendations for responsibly integrating generative AI into healthcare.
Innovative Reward-Based Crowdfunding Decision Model
Authors: Prasobpiboon Somboon , Ratanabanchuen Roongkiat , Chandrachai Achara , Triukose Sipat
Published: August 2024

Due to the risky nature of newly creative projects for entrepreneurs, reward-based crowdfunding is currently an alternative fundraising channel for those who need seed funding to finance the creation of their prototype. The objectives of this research are to explore the success factors, including entrepreneurial, project and campaign factors, in project fundraising under a reward-based crowdfunding platform. We propose to develop a model for predicting the success of crowdfunding projects by machine learning. The datasets have been retrospectively gathered from historical records of campaigns in the Kickstarter website. The study's findings show that the logistic regression and decision tree models, respectively, had accuracy rates of 88.2% and 88.8%. The highest accuracy percentage of 94.1% originates from new testing data that has been externally validated for the technology industry. The practical implication of our research is that entrepreneurs can apply the proposed prediction model to identify the most influential topical features embedded in campaigns.
Precision Teaching of College English Based on Learning Diagnostic Systems
Authors: Wang Kun
Published: August 2024

The rapid rise of information technology has popularized learning diagnostic systems in education, particularly in college English teaching. These systems boost teaching quality and enable precise instruction. This study delves into precision teaching in college English with two English major classes. Teaching experiments used data from the system to set goals, plan courses, choose strategies, assign tasks, and assess progress. SPSS analysis gauged the system's effectiveness. Results reveal enhanced student interest and performance in English with the system. The experimental group displayed heightened engagement and innovative learning methods, outperforming the control group significantly. Conversely, the control group struggled with traditional methods. The precision teaching model, aided by the diagnostic system, enhances English proficiency among college students, lending theoretical backing to its application in college English education.
NLRP3 Inflammasomes: Dual Function in Infectious Diseases
Authors: Li Yanbo , Qiang Rui , Cao Zhengmin , Wu Qingjuan , Wang Jiuchong , Lyu Wenliang
Published: August 2024

The Nod-like receptor family pyrin domain containing 3 (NLRP3) inflammasome has been the most distinctive polymer protein complex. After recognizing the endogenous and exogenous danger signals, NLRP3 can cause inflammation by pyroptosis and secretion of mature, bioactive forms of IL-1β and IL-18. The NLRP3 inflammasome is essential in the genesis and progression of infectious illnesses. Herein, we provide a comprehensive review of the NLRP3 inflammasome in infectious diseases, focusing on its two-sided effects. As an essential part of host defense with a protective impact, abnormal NLRP3 inflammasome activation, however, result in a systemic high inflammatory response, leading to subsequent damage. In addition, scientific evidence of small molecules, biologics, and phytochemicals acting on the NLRP3 inflammasome has been reviewed. We believe that the NLRP3 inflammasome helps us understand the pathological mechanism of different stages of infectious diseases and that inhibitors targeting the NLRP3 inflammasome will become a new and valuable research direction for the treatment of infectious diseases.
Effectiveness of photobiomodulation and resistive exercise on cartilage tissue in osteoarthritic rats
Authors: Gomes Santos Luiz Henrique , Assis Lívia , Tim Carla Roberta , Ribeiro Santos Thatiane Izabele , Santi Martignago Cintia Cristina , Bonifácio Silva Mirian , Vasilceac Fernando , Santos Trevisan Mariane , Araki Ribeiro Daniel , Lopes Cunha Lillian Cristina , Parizotto Nivaldo Antonio , Rennó Ana Claudia
Published: August 2024

The aim of the present study was to investigate the association of a resistive training and Photobiomodulation (PBM) on cartilage tissue in an experimental model of knee Osteoarthritis (OA). Forty male Wistar rats (weigh, ± 150g) were distributed into 4 groups. Treatments were performed for 8 weeks (3 sessions per week). The specimens were evaluated by histology, OARSI, morphometric and immunohistochemistry analysis. The results showed that the interventions were able to modulate the degenerative process reacted to OA. Exercised animals (with or without PBM) demonstrated lower values for OARSI and lower expression of IL-1β, caspase-3, MMP-13. Furthermore, animals treated with the associated treatments presented significantly decrease in the density of chondrocytes. Resistive exercise training modulated the morphological alterations and inflammatory process related to the OA progression. However, PBM isolated have not produce extra effects on the variables evaluated.
Prophylactic intravenous immunoglobulin use in allogeneic stem cell transplantation; does intravenous immunoglobulin affect survival, sepsis, and engraftment time?
Authors: Kaya Ahmet , Berber İlhami , Kuku İrfan , Kaya Emin , Erkurt Mehmet Ali , Biçim Soykan , Arslan Süleyman , Yağin Fatma Hilal
Published: August 2024

BACKGROUND:

Stem cell transplant recipients have an increase in various infections depending on the immunosuppression. The purpose is to explore the effect of the use of proflactıc intravenous immunoglobulin (IVIG) on transplant recıpıents.

OBJECTIVE:

It was aimed to examine the effect of IVIG on allogeneic stem cell transplantation.

MATERIALS AND METHODS:

In this study, sepsis status, infection focus causing sepsis, neutrophil and platelet engraftment time of patients the length of stay in the hospital at the time of the stem cell transplant, if the patient died, how many days after the transplant the event developed, and the data of the bone marrow transplant unit were reviewed retrospectively. One hundred and eleven patients who were given IVIG (400 mg/kg/week IVIG intravenous was given to the patients as a weekly prophylactic up to 100 days starting on the 7th day after transplantation) and 190 patients who did not receive IVIG were included in the study.

RESULTS:

There was no statistically significant difference between the IVIG groups in terms of gender, diagnosis, donor characteristics, and event (P > 0.05). Sepsis was observed significantly less in patients who were given IVIG compared to patients who were not given IVIG (P < 0.001). While it was observed that IVIG did not have a significant effect on platelet engraftment and discharge times (P > 0.05), neutrophil engraftment time was significantly higher in patients given IVIG compared to patients not given IVIG (P < 0.009). It was observed that the use of IVIG in patients with sepsis did not have a positive effect on survival. (with sepsis hazard ratio [HR]: 3.890 P = 0.001, IVIG given HR: 3.244 P = 0.035).

CONCLUSION:

It was observed that the use of IVIG in allogeneic stem cell transplantation was associated with a decrease in sepsis, but the use of IVIG did not have a positive effect on survival and could prolong neutrophil engraftment.
Paraquat Poisoning: A Growing Homicidal Threat: Insights and Strategies
Authors: Rupesh Kattamreddy Ananth , Ghosh Victor
Published: August 2024

Paraquat is a widely used non-selective herbicide in Indian agriculture. It has gained popularity for its misuse in suicidal poisoning, primarily because it lacks an antidote, and ingestion often leads to death. When examining the historical trends of pesticide-related suicidal poisonings in India, there is a noticeable transition from endrin, organophosphates and rodenticides to the current prevalent use of paraquat. This review delves into globally reported cases of homicidal paraquat poisonings, which are sporadically reported in India as well, although not published in mainstream academia. Clinicians must remain vigilant in homicidal paraquat poisoning situations as there is often improper history at the time of presentation. Such cases typically present with some non-specific symptoms such as oral and pharyngeal burns and appear like any other typical acute gastroenteritis or a flu-like illness which ultimately leads to death as a result of pulmonary complications. At the same time, forensic pathologists need to be well versed in the characteristic autopsy findings and analytical toxicology considerations of paraquat-induced criminal poisoning, given the occasional incidents in India. The use of paraquat as a weapon in poisoning cases is a significant public health concern that underscores the need for a ban on paraquat in India.
Glycolytic dysregulation in Alzheimer’s disease: unveiling new avenues for understanding pathogenesis and improving therapy
Authors: Wu You , Yang Lijie , Jiang Wanrong , Zhang Xinyuan , Yao Zhaohui
Published: August 2024

Alzheimer’s disease poses a significant global health challenge owing to the progressive cognitive decline of patients and absence of curative treatments. The current therapeutic strategies, primarily based on cholinesterase inhibitors and N-methyl-D-aspartate receptor antagonists, offer limited symptomatic relief without halting disease progression, highlighting an urgent need for novel research directions that address the key mechanisms underlying Alzheimer’s disease. Recent studies have provided insights into the critical role of glycolysis, a fundamental energy metabolism pathway in the brain, in the pathogenesis of Alzheimer’s disease. Alterations in glycolytic processes within neurons and glial cells, including microglia, astrocytes, and oligodendrocytes, have been identified as significant contributors to the pathological landscape of Alzheimer’s disease. Glycolytic changes impact neuronal health and function, thus offering promising targets for therapeutic intervention. The purpose of this review is to consolidate current knowledge on the modifications in glycolysis associated with Alzheimer’s disease and explore the mechanisms by which these abnormalities contribute to disease onset and progression. Comprehensive focus on the pathways through which glycolytic dysfunction influences Alzheimer’s disease pathology should provide insights into potential therapeutic targets and strategies that pave the way for groundbreaking treatments, emphasizing the importance of understanding metabolic processes in the quest for clarification and management of Alzheimer’s disease.
Abdominal ultrasound in adult sickle cell patients
Authors: Adegboyega Olukayode Ademola , Akinbami Akinsegun Abduljaleel , Dada Akinola Olusola , Amisu Mumuni Alade , Jinadu Shola Shinnen , Awobusuyi Olugbenga Jacob , Akinola Racheal Adeyanju
Published: August 2024

Background:

Sickle cell disease (SCD) causes recurring crises that lead to changes in organs such as the spleen, liver, and kidneys, resulting in high morbidity and mortality.

Materials and Methods:

This study was carried out in the Adult Haematology Clinic and the Radiology Department of Lagos State University Teaching Hospital, Ikeja Nigeria. Consenting SCD participants in a steady state and consenting blood donors with HbAA phenotype, representing controls were subjected to an abdominal ultrasound scan. The sizes of their spleen, liver, and kidneys were measured.

Results:

There were 82 participants, 41 in each group (SCD and HbAA controls). The mean age for SCD was 25.9 ± 7.49 years and for HbAA was 26.49 ± 4.35 years. In each group, there were 41 participants, comprising 19 males and 22 females. Individuals with HbAA had spleen sizes approximately one and a half times larger than those with SCD (SCD: 6.81 ± 3.83 cm, HbAA: 9.97 ± 1.11 cm, P = 0.01). Conversely, participants with SCD exhibited larger liver, right kidney, and left kidney measurements compared to those with HbAA (Liver SCD: 14.91 ± 1.60 cm, HbAA: 13.32 ± 1.56 cm, P = 1.00), (right kidney SCD: 10.52 ± 1.16 cm, HbAA: 9.92 ± 1.04 cm, P = 0.02), (left kidney SCD: 10.76 ± 1.45 cm, HbAA: 10.58 ± 1.60 cm, P = 0.53).

Conclusion:

The study found that SCD affects the sizes of abdominal organs, including the spleen, kidneys, and liver, compared to those without the condition.
Artificial intelligence and machine learning in neurosurgery: A review of diagnostic significance and treatment planning efficiency
Authors: Ahmad Rani G.
Published: August 2024

This review analyzes the significance of artificial intelligence (AI) and deep learning (DL) approaches used in radiology in neurosurgery patients and compares AI applications with human models to determine the applicability of AI in disease diagnosis, decision-making, and outcome prediction. A systematic review was conducted from 1997 to 2020 from the PubMed (MEDLINE) database. The search strategy adhered to guidelines outlined by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The keywords used for the literature search included “Deep learning,” “Neurosurgery,” “Artificial Intelligence,” “Brain,” “Magnetic resonance imaging-MRI Brain,” and “Machine learning.” The studies focusing on the significance of DL and comparing AI applications with radiologists or clinical experts to enhance diagnostic protocols were included, whereas non-English articles, animal studies, articles lacking full text, and publications such as commentaries, technical notes, abstracts, editorials, opinions, and letters were excluded. A total of 24 articles were included in the review. The P value was observed in 44 out of 63 outcome measures (70%), out of which in 26 out of 63 outturn measures, artificial application subset machine learning (ML) has a significant edge over clinical diagnosis (P < 0.05). The review highlights the potential impact of AI-driven advancements in clinical radiology on enhancing treatment plans for neurosurgery patients, emphasizing the benefits of early intervention, cost reduction, time-saving approaches, and judicious health-care resource utilization. The study’s limitations include potential constraints in identifying relevant literature due to the selected search scope and inclusion criteria, not including studies published outside the specified timeframe and database, and a small number of included studies. Consequently, there is a risk of overlooking innovative methodologies or ground-breaking studies contributing to a more comprehensive understanding of AI applications in neurosurgery. Furthermore, the exclusion of certain publication types, such as commentaries, and conference papers may limit the diversity of different perspectives. However, the study highlights the potential of ML in neurosurgery and the importance of addressing variability in study design, patient populations, and outcome measures in future research to enhance the applicability of AI-driven approaches in clinical practice. It is imperative to recognize and address these challenges to understand the opportunities and limitations inherent in the integration of AI in neurosurgical practice.
The valuation of HAL. Purposes, tools and process
Authors: Schöpfel Joachim , Prost Hélène , Jacquemin Bernard , Kergosien Éric , Thiault Florence
Published: August 2024

This article presents the results of a qualitative analysis of the use of the HAL platform by research laboratories. The analysis is based on semi-directive interviews with representatives from 50 laboratories affiliated to the ten Udice research universities. It focuses on the function that HAL fulfils for the laboratories, on its added value for their operation and their development. In particular, we are questioning the purposes of the use of HAL by the laboratories, the use of internal and external tools, and the trajectories of practices. We discuss the results from three angles: the discourses and communities of practice in the laboratories; the scope and challenges of the systems put in place by the laboratories upstream and downstream of HAL; and the transformation of HAL from a platform for self-archiving and direct scientific communication to an infrastructure for monitoring and evaluating scientific performance. This is the first in a series of three articles from the HAL/LO project.

L’article présente les résultats d’une analyse qualitative de l’utilisation de la plateforme HAL par les laboratoires de recherche. L’analyse s’appuie sur des entretiens semi-directifs avec des représentants de 50 laboratoires affiliés aux dix universités de recherche Udice. Elle porte sur la fonction que remplit HAL pour les laboratoires, sur sa valeur ajoutée pour leur fonctionnement et leur développement. En particulier, nous interrogeons les finalités de l’utilisation de HAL par les laboratoires, le recours à des outils internes et externes, et les trajectoires des pratiques. Nous discutons les résultats sous trois angles : les discours et les communautés de pratiques dans les laboratoires ; le périmètre et les enjeux des dispositifs mis en place par les laboratoires en amont et en aval de HAL ; et la transformation de HAL d’une plateforme d’auto-archivage et de communication scientifique directe vers une infrastructure de suivi et d’évaluation de la performance scientifique. Il s’agit du premier d’une série de trois articles issus du projet HAL/LO.
Does Environmental Cost and Tax Aggressiveness Affect Minings Firm Value?
Authors: Lestari Putri Gantine , Siregar Johannes Kristian
Published: August 2024

Environmental problems caused by companies still occur in various countries. The environment that should be protected is still being ignored by surrounding companies. Even though it is clear in Indonesian Law, UU No. 40 2007 that all companies especially who are directly related to nature, are required to carry out environmental responsibility. Mining companies are companies whose business activities are directly related to nature, so the mining sector is obliged to carry out this responsibility. Environmental cost are cost incurred to environmental damage and environmental protection from company activities. The environmental cost will affect the good image of the company which will affect the firm value. Tax aggressiveness is an act of tax avoidance which is conducted aggressively and it’s also affect the firm value, these must be considered because the value of the company is one of the important information for stakeholders. The purpose of this research is to determine the effect of environmental cost and tax aggressiveness on firm value. The sample method used in this reseacrh is purposive sampling and obtained 80 financial statements from 20 mining companies listed on the Indonesian stock exchange for the 2018-2021 period. Based on the results of the research, partially that environmental cost have a significant positive effect on firm value, tax aggressiveness has no significant effect on firm value and simultaneously environmental cost and tax aggressiveness affect the value of mining companies listed on the Indonesian stock exchange for the 2018-2021 period.
A Story to Tell: Experiences of Fraternity Members (A Phenomenological Study)
Authors: V. Estoce Joshua , C. Omictin Jr. Nelson , O. Gervacio John Michael Vincent , Morales Jr. Edmon B. , A. Allanic Elmie , C. Cabilan Winmarc , B. Canape Bernaflor , Cuevas Jr. Jose F.
Published: August 2024

Fraternity membership often provides students with a sense of community, brotherhood, and networking opportunities that can enhance their social and professional lives. This study explored the experiences of students with fraternity membership in Ozamiz City. The study used a qualitative approach using phenomenological study Research Design. Seven fraternity members from Ozamiz City who encountered a lot of personal and educational challenges being a member of a fraternity were considered as participants of the study. They were selected based on the following criteria: (1) member of a fraternity (2) who resides in Ozamiz City (3) students who encountered personal and educational challenges (4) willingness to participate. An interview was used to gather data. Analysis of the responses was done using Husserl‟s transcendentals phenomenological study. Results generated four themes: Balancing academic and fraternity responsibilities, financial challenges, Emotional and social support, Personal growth and development, demonstrating the diversity of student engagement in fraternities. Every participant gave a different story that demonstrated how they managed their personal and academic responsibilities in the fraternity setting. Recommendations include fraternity organizations that may foster inclusive and supportive environments, encouraging strong support networks among members to enhance emotional well-being and academic success.
Challenges in Speaking English Language among Education Students
Authors: P. Orge Princess Marie , C. Pameron Jeny Perl Ann , V.Cocolan Joel
Published: August 2024

Education students, also known as pre-service teachers or teacher candidates, face challenges in speaking, particularly English language. This study explored the challenges experienced by the selected education students in one of the schools in Ozamiz City. A phenomenological research study design uses a research design with fifteen (15) students as participants in the study. The participants were selected through purposive sampling. An interview guide question was used to gather the data, and the responses were analyzed using Moustakas methods. Results generated the following themes: Having Insufficient Vocabulary Resources, Experiencing Emotional Pressures, and Encountering Difficulties in Speaking. Education students struggled a lot, especially in explaining and using English. It recommends that the students must practice what they will say in front of, prepare beforehand, and be exposed to English most of the time, whether at school or home.
Navigating Intellectual Crossroads: Intersections of Modern Western Thought and Islamic Reformism
Authors: Rehman Shumaila Abdul , Naz Iffat , Bakht Khush , Parveen Shagufta , Bashir Dr. Adeela
Published: August 2024

Introduction: The article begins by outlining the historical and intellectual context of the interaction between Modern Western Thought and Islamic Reformism. It highlights the challenges and opportunities arising from the convergence of these two intellectual traditions, noting the significant impact of Western secularism, scientific inquiry, and rationality on global discourse, including Islamic societies. The introduction sets the stage for a detailed exploration of the exclusivist and inclusivist movements and their implications for Islamic societies. Objectives: The primary objective of this article is to examine the intellectual challenges and opportunities presented by the interaction between Modern Western Thought and Islamic Reformism. It aims to provide insights into the diverse perspectives within Islamic societies, the clash between tradition and modernity, and the potential for reconciling religious faith with reason. The article also seeks to foster a deeper understanding of the historical and cultural contexts that shape these debates and to promote respectful dialogue and critical inquiry. Conclusion: The article concludes by emphasizing the importance of fostering mutual understanding and respectful dialogue between Eastern and Western philosophies. It underscores the need for a nuanced approach that considers historical and cultural contexts to bridge the epistemological gap between these two intellectual traditions. By promoting critical inquiry and embracing pluralism, the article suggests that both Islamic and Western societies can engage in a productive exchange of ideas, ultimately contributing to intellectual advancement and societal progress.
Análise da força muscular durante a elevação do ombro em jogadores de rugby
Authors: Superbia Heloisa dos Santos , Costa Maria Eduarda da , Taube Oswaldo Luiz Stamato , Siessere Selma , Palinkas Marcelo , Regalo Simone Cecilio Hallak , Arnoni Veridiana Wanshi
Published: August 2024

O rugby, esporte coletivo com frequentes cenários de colisões entre os jogadores, demanda uma diversidade de movimentos que requisitam de habilidades dos membros superiores especialmente em arremessos e tackles. Em virtude da escassa literatura na investigação de aspectos de força relacionados aos membros superiores em jogadores de rugby, se faz necessário encontrar razões que sustentem a alta incidência de lesões na região do ombro. Este estudo tem como objetivo quantificar e analisar a força muscular gerada durante a elevação do ombro em contração isométrica máxima, comparando jogadores de rugby com indivíduos treinados em treinamento de força. Foi realizada a comparação de duas amostras contendo 12 jogadores de rugby e 12 indivíduos treinados em treinamento de força, sendo pareados por sexo, idade, peso, altura e membro dominante. Os dados das amostras foram coletados com o dinamômetro isométrico portátil. A análise da força máxima foi comparada entre os jogadores de rugby (experimental) com o grupo de indivíduos treinados em treinamento de força (controle) (p<0,05). Verificou-se que o grupo experimental demonstraram uma força maior em relação ao grupo controle (p<0,05) e quando se comparou o membro superior direito e esquerdo dentro do mesmo grupo encontrou-se um equilíbrio da força muscular. Concluiu-se que os resultados deste estudo indicam que os jogadores de rugby demonstraram valores superiores de força muscular isométrica em comparação com indivíduos treinados em treinamento de força.
EL PROGRAMA DE MEDIDAS AGROAMBIENTALES EN LA PROVINCIA DE HUELVA.
Authors: PRIETO RODRÍGUEZ SEBASTIÁN
Published: August 2024

El presente trabajo trata de ser una aproximación a una cuestión que es esencial para el devenir de las sociedades en las que nos integramos. El análisis de Políticas Públicas, que constituye una manera de contribuir al desarrollo y elevación de los niveles de vida de la sociedad al interrogarse sobre si las decisiones que se toman por los gestores públicos son las adecuadas para afrontar los problemas que afectan a los ciudadanos. En este estudio queremos abordar el análisis del Programa de Medidas Agroambientales, subvencionado por la Unión Europea, en la provincia de Huelva.
EL NUEVO MARCO LEGAL DEL PATRIMONIO HISTÓRICO ANDALUZ
Authors: BECERRA GARCÍA JUAN MANUEL
Published: August 2024

El objeto de la presente publicación no sólo es plasmar los resultados de las Jornadas del mismo nombre organizadas por el Instituto Andaluz de Administración Pública dentro de su propio Programa de Jornadas y Conferencias, sino también mejorar el conocimiento y la preservación de un ámbito tan significativo para los andaluces como es su patrimonio histórico, plasmación de su identidad.
On journalism of the Russian diaspora
Authors: Стародубцев Г.С.
Published: August 2024

Введение. В статье анализируется правовая публицистика европейской и азиатской ветвей российской эмиграции. Показана деятельность юристов-международников по освещению правовых событий и анализу соответствующих документов. Цель статьи заключается в том, чтобы на основе доступных в настоящее время русскоязычных публикаций провести историко-юридический и культурологический анализ международно-правовой науки русской эмиграции как социально-культурного феномена, раскрыть и осветить важнейшие моменты научно-издательской деятельности юристов-международников, протекавшей в своеобразных условиях русского зарубежья. Методы: теоретические методы формальной и диалектической логики, эмпирические методы описания и интерпретации, текстологический, формально-юридический, сравнительно-правовой, сравнительно-исторический методы, методы анализа, обобщения. Результаты: обозначено проблемное поле – значительный пласт международно-правовой культуры, наработанный российской эмиграцией, по-прежнему закрытый временем и пространством. Но и то, что найдено, проанализировано и освещено, свидетельствует о создании русской зарубежной науки международного права стараниями ученых- эмигрантов. Исследование направлено на воссоздание целостной картины развития постреволюционной российской международно-правовой науки, реконструкцию ее эмигрантской составляющей, продолжившей лучшие традиции и показавшей высокий профессионализм дореволюционной научной мысли, что представляется чрезвычайно важной задачей современной российской науки международного права, переживающей сложный процесс переосмысления старых представлений. Делается вывод о важности изучения этого исключительно ценного и склонного к исчезновению багажа знаний.

Introduction: the article analyzes legal journalism of the European and Asian branches of Russian emigration. The activity of international lawyers in covering international legal events and analyzing relevant documents is shown. Purpose: to conduct a historical, legal and cultural analysis of scientific works of Russian emigrants as a socio-cultural phenomenon on the basis of currently available Russian-language publications, to reveal and highlight crucial aspects of scientific and publishing activities of international lawyers, which took place in specific conditions of the Russian abroad. Methods: theoretical methods of formal and dialectical logic, empirical methods of description and interpretation, textual and formal legal methods, comparative legal, analysis, generalization, and comparative historical. Results: a significant layer of international legal culture, accumulated by Russian emigration, is still closed by time and space. It is concluded that the Russian foreign science of international law has been created due to efforts of emigrant scientists. The conclusion is made about the inevitability of studying this rare, extremely valuable and prone to disappearing baggage of knowledge.
Renewal of Societal Ideosphere: An Analytical Study of Medieval Philosophical Thought
Authors: Sobirovich Turdiev Bekhruz
Published: August 2024

This article explores the evolution of philosophical ideas and perspectives that have significantly influenced the formation of democratic societies. It examines the genesis and dynamics of these ideas, focusing on how enlightenment and education have contributed to the renewal and advancement of societal ideologies and the acquisition of global knowledge. The analysis includes insights from medieval Eastern thinkers, who addressed the necessity of knowledge development for societal progress. These scholars employed scientific methods such as analysis, synthesis, comparative analysis, and generalization to advance their ideas. The philosophical concepts and teachings, which blend national and universal objectives, are highlighted for their role in promoting democratic development and are recognized as valuable contributions to philosophical heritage. The article underscores the importance of renewing the ideosphere within democratic development and acknowledges the objective laws governing societal progress. It provides a thorough examination of the scientific and philosophical perspectives of prominent thinkers, scholars, and public figures from the Middle Ages who contributed to this renewal. The research reveals that these historical insights are crucial for the intellectual and spiritual development of the younger generation. It argues that such philosophical and intellectual traditions foster a sense of initiative, responsibility, self-sacrifice, and engagement among youth, thereby supporting and advancing national development.
O papel dos betabloqueadores sistêmicos e tópicos na dermatologia: uma revisão sistemática
Authors: Meira Jessica Lais Caragnato de , Silva Denny Augusta Teixeira da , Ciccozzi Maria Elisa Alcântara da Cruz , Oliveira Isabella Lopes de , Rodovalho Bárbara
Published: August 2024

Os betabloqueadores são uma classe de medicamentos que atuam inibindo os receptores beta-adrenérgicos, bloqueando os efeitos das catecolaminas, como a adrenalina e a noradrenalina. Essa ação resulta na redução da frequência cardíaca, diminuição da pressão arterial e modulação da resposta ao estresse. Na prática clínica, os betabloqueadores sistêmicos são amplamente utilizados para tratar condições cardiovasculares. Embora relativamente novo, o emprego de betabloqueadores (tais como atenolol, cloridrato de betaxolol, cloridrato carteolol, maleato de timolol) emergiu como uma abordagem terapêutica de sucesso em condições dermatológicas, particularmente no tratamento de hemangiomas infantis, rosácea, urticária crônica idiopática, hiperidrose, rubor fácil e eritrose facial. A capacidade dos betabloqueadores em reduzir o fluxo sanguíneo cutâneo, modular a resposta inflamatória e diminuir a atividade das glândulas sebáceas tem sido explorada com sucesso nessas condições. Além disso, a aplicação tópica permite uma ação localizada, com melhor tolerabilidade do tratamento e minimização dos efeitos colaterais sistêmicos associados ao uso de betabloqueadores por via oral. Esta revisão sistemática visa analisar o papel promissor dos betabloqueadores, tanto sistêmicos quanto tópicos, no tratamento de condições dermatológicas, abordando considerações importantes relacionadas à segurança e eficácia na prática dermatológica, bem como as formas de administração e as possíveis interações medicamentosas.
Quimioterapia neoadjuvante seguida de cirurgia radical em paciente grávida com câncer do colo do útero invasivo: relato de caso e revisão da literatura
Authors: Montanhim Carolina de Lima , Cabral Clara Elyades Araújo
Published: August 2024

Introdução: O câncer do colo do útero é uma neoplasia que pode ser diagnosticada durante a gestação, apresentando desafios significativos para o manejo clínico. Objetivo: Este trabalho visa relatar um caso de quimioterapia neoadjuvante seguida de cirurgia radical em uma paciente grávida com câncer do colo do útero invasivo e revisar a literatura disponível sobre o tema. Materiais e métodos: Foi realizado um estudo de caso e uma revisão de literatura consultando artigos publicados entre 2000 e 2024 nas bases de dados PubMed e SciELO. Resultados e discussão: A quimioterapia neoadjuvante pode ser uma opção viável para gestantes com câncer do colo do útero, permitindo a preservação da gravidez até a viabilidade fetal seguida por cirurgia radical. Conclusão: A quimioterapia neoadjuvante seguida de cirurgia radical pode oferecer um tratamento eficaz para câncer do colo do útero invasivo durante a gravidez, proporcionando desfechos favoráveis para a mãe e o feto.