bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved Cosine Similarity Measures and Extended TOPSIS for q-Rung Orthopair Fuzzy Sets: Applications in Green Technology Selection
Authors: Ünver Mehmet
Published: January 2024

In this study, we present novel cosine similarity measures designed for \(q\)-rung orthopair fuzzy sets (\(q\)-ROFSs), offering a comprehensive analysis of both direction and magnitude aspects in fuzzy set representations. Unlike traditional cosine similarity measures, which primarily focus on the direction (cosine of the angle) between vectors, our proposed measures address this limitation by incorporating a lengths difference control term. This enhancement becomes crucial, especially when dealing with overlapping vector representations of \(q\)-ROFS components with a height difference, where traditional measures yield a similarity measure of \(1\). We demonstrate the effectiveness of these improved cosine similarity measures, showcasing their superiority not only over traditional counterparts for \(q\)-ROFSs but also in enhancing existing measures for intuitionistic fuzzy sets and Pythagorean fuzzy sets. The proposed measures consist of an average or Choquet integral of two components. The first component quantifies the cosine similarity between two \(q\)-ROFSs at each element, while the second component captures the difference in lengths between the vector representations of these \(q\)-ROFSs at the same element. This innovative length-difference term ensures sensitivity to variations in both direction and magnitude, making the measures well-suited for applications where both aspects are crucial. The Choquet integral-based measure further considers interactions among elements, enhancing sensitivity in diverse applications. In addition to introducing these cosine similarity measures, we extend our contributions to the realm of multi-criteria group decision making (MCGDM) through an extended The Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology. The proposed TOPSIS methodology is applied to a real-world problem in green technology selection, providing a comprehensive evaluation framework. Our comparative analysis with some other MCGDM methods further highlights the effectiveness of our proposed approach.
Ancient Houses in Ben Tre City: A Multifaceted Approach to Preserve Artistic Architectural Heritage and Boost Local Tourism
Authors: Phu-Yen Dao , V.L Pham , Ngo Long
Published: January 2024

The ancient houses of Ben Tre city, dating back to the French colonial period, transcend their historical significance to become essential cultural landmarks with global connections. These houses play a pivotal role in safeguarding Ben Tre's artistic and architectural heritage, aligning seamlessly with the vision of a "Green Ben Tre" in contemporary tourism development. Their unique value lies in the harmonious synthesis of material and spiritual elements, fostering cultural exchange and connecting communities worldwide.

This article not only presents initial research findings on the preservation and promotion of the rich values encapsulated within Ben Tre's ancient house system but also explores additional crucial technical solutions. Beyond the study of the effectiveness of the Cement-Stabilized Base (CSB) additive in enhancing soil load-bearing capacity, the paper introduces various technical strategies aimed at conserving the artistic architectural heritage. The focus extends to sustainable construction practices, ensuring the longevity of these historical structures.

The study emphasizes the urgent need for conservation, acknowledging the imminent threat of demolition faced by some ancient houses in Ben Tre city. It underscores the importance of sustainable tourism development as a key factor in preserving these invaluable cultural assets for future generations.
Quantum Theory of Soul
Authors: Sha Zhigang , Xiu Rulin
Published: January 2024

The pursuit of scientific research on the soul has been gaining more attention. However, progress has been limited. We propose that to scientifically study the soul, one needs to first give it a scientific definition. In this paper, we explore how to give the soul a scientific definition and use quantum physics to scientifically study and predict the character, qualities, and behavior of the soul. In our previous paper, we showed that a new interpretation of quantum physics indicates that everything at the deepest level is a quantum vibrational field carrying information, energy, and matter. Observed quantum phenomena and conscious experience occur when the observer absorbs and receives the vibrations, including the information, energy, and matter carried in the quantum field. In this work, we propose to define the soul as the content of the information carried in one’s quantum vibrational field. With this definition and using quantum physics, one can make seven predictions about the soul: (1) The soul is the essence of one’s existence, determining every aspect of life. (2) The soul may continue its journey when the physical body stops functioning. (3) The soul can be eternal and unlimited in spite of the limitation of the physical body. (4) One may connect with, communicate with, and affect other souls remotely. (5) There exists the “Akashic Records,” a universal quantum vibrational field carrying the information, energy, and matter about everything. (6) Spiritual abilities, such as intuition, direct knowing, telepathy, clairvoyance, and psychokinesis, can be scientifically explained. (7) The soul gives meaning and purpose to life. These predictions agree with widespread common spiritual wisdom. The experimental verification of some of the predictions is discussed.

This quantum theory of the soul supports monism, in which the soul, spiritual heart, mind, energy, and matter are parts of and different aspects of one existence, the quantum vibrational field. It endorses panpsychism and suggests that everything has a certain level of soul, spiritual heart, mind, consciousness, energy, and matter. This work expands scientific study from only physical matter and energy to include the soul, spiritual heart, mind, conscious and spiritual phenomena. It agrees with spiritual wisdom and the scientific discoveries of quantum physics. It can help bring science and spirituality together at the fundamental level.
Motivational Variables as Predictors of Academic Achievement Among University Students
Authors: Vásquez Alejandro
Published: January 2024

INTRODUCTION. There is international evidence about the existence of a relationship between students' level of motivation towards learning and their academic performance. This article presents the findings of a study whose objective was to identify predictor variables of the academic performance among Chilean university students in the field of their motivation towards learning.

METHOD. The MSLQ test (_Motivated Strategies for Learning Questionnaire)_ by Pintrich et al. (1991) has been used to measure motivation variables towards learning in a sample of 117 university students. A multiple regression model has been built with the students' _academic performance_ as the dependent variable and the items from the MSLQ _motivation_ scale as independent variables, to identify predictors of academic performance.

FINDINGS. The regression model obtained identifies significant predictors of students' academic performance (_adjusted_ R2 = 0.30; p<0.001). The main positive predictor variables obtained are _self-efficacy_, _anxiety_ and _learning control beliefs_.

DISCUSSION. The study has obtained empirical evidence about the predictive nature that variables on motivation towards learning have with respect to university students´ academic performance. These findings confirm previous evidence on the relationship between motivation towards learning and academic performance. The study also confirms the usefulness of the MSLQ test by Pintrich et al._ _(1991) to study the relationship between motivation towards learning and academic performance among university students.

IMPLICATIONS. Motivational factors are significant predictors of university students´ academic performance, therefore they should be taken into account by educational policies and strategies designers at the university level to achieve better learning among students.
Penguatan Konsep Keuangan, Perhitungan Harga Pokok Produksi, dan Harga Jual pada UMKM Kampung Batik Laweyan Kota Solo
Authors: Yuana Pusvita , Nurmasari Nuraini Desty
Published: January 2024

UMKM (Usaha Mikro, Kecil dan Menengah) mempunyai peran penting dalam pembangunan perekonomian daerah, namun seringkali menghadapi tantangan dalam hal pengelolaan keuangan dan mengoptimalkan keuntungan usaha. Untuk menghadapi tantangan tersebut, maka kegiatan pengabdian ini dilaksanakan berupa peningkatan pemahaman UMKM dalam konsep keuangan, melakukan perhitungan harga pokok produksi, dan penentuan harga jual produk serta mampu mengelola keuangannya jauh lebih baik. Pelaksanaan kegiatan telah melibatkan 25 (dua puluh lima) pemilik usaha di Kampung Batik Laweyan, Kota Solo dengan menerapkan empat tahapan pelaksanaan selama sebelum dan saat kegiatan berlangsung. Tahapan pelaksanaan terdiri dari tahap persiapan, tahap pre test, tahap penjelasan, dan tahapan umpan balik. Selama kegiatan berlangsung, penekanan pada konsep keuangan disampaikan terlebih dahulu sebelum memasuki materi perhitungan harga pokok produksi dan harga jual. Dengan adanya pelatihan melalui kegiatan pengabdian ini diharapkan UMKM Kampung Batik Laweyan, Kota Solo dapat terus bertahan dalam persaingan usaha, melakukan efisiensi biaya, dan melakukan optimalisasi keuntungan.
Real Estate Image Classification For E-commerce Website
Authors:   University Of Science, VNU-HCMC, Vo Viet Hoai , Nguyen Nhat Khoa ,   University of Science, VNU – HCMC, Pham Huynh Nhat ,   University of Science, VNU – HCMC
Published: January 2024

Currently, the image is the most important part of e-commerce websites and has a very significant impact on the real estate industry. In this work, we represent a novel approach for image classification in real estate. This problem can be applied to resolve some automated functions in operating the website when using machine learning algorithms in data-driven approaches. We can find some datasets about real estate images, such as REI and SUN, for this classification problem. However, they do not have images related to ecommerce websites such as TopReal in the Vietnam market. Therefore, we propose a new dataset called REID that is based on real requirements from the TopReal website and the others. This dataset has a hierarchy with 4 generics and 8 specific classes. To this end, we propose two model-based ConvNets for classification problems. In the first model, we design based on the LeNet architecture as in the baseline model to investigate and analyze the dataset for deep understanding. In the second model, we propose a transfer learning-based approach with ResNet as the feature extraction module and SVM as the classifier. The experimental results show that we obtain 97.6% and 87.3% accuracy for classes 4 and 8, respectively, on the REID dataset. These results show that our proposed methods achieve high accuracy on a real estate image dataset that adapts the websites in the Vietnam market and can extend easily to the others. Furthermore, the REID dataset can be extended to resolve many problems in real estate images for the Ecommerce Website.
Market research and fabrication of low-cost disinfectant spray for pets using silver nanoparticles
Authors:   School of Biomedical Engineering – International University Vietnam National Universities HCMC, Viet Nam, La Dao Thien An , Nguyen Hiep Thi ,   School of Biomedical Engineering, International University, Vietnam National University Ho Chi Minh city
Published: January 2024

Introduction: Silver nanoparticles (AgNPs) have been widely studied and applied to many fields. They are known for their superior antibacterial properties. In this study, AgNPs are particularly studied and used in veterinary medicines, typically for pets such as dogs, cats and rabbits. Unlike humans, these pets often have skin problems since their skin is an ideal environment for bacteria and viruses to grow. Normally, using existing cleaning products for pets such as shampoo or special skin treatment products would be a good option to keep the pets safe and clean. Nevertheless, such products are inconvenient to use daily, or those products are quite expensive since they are mostly imported from foreign countries. Methods: To cope with this issue, a low-cost disinfectant spray for pets using silver nanoparticles has been developed. The very first step of this study is to understand market demand and customer insight into this product. Based on market research, it would be visible whether the fabrication of the disinfectant spray is necessary. Furthermore, the study focuses on the chemical synthesis approach where the reaction efficiency is maximized while the use of chemicals is minimized. Additionally, the produced product was characterized and tested in vitro with Staphylococcus aureus and Escherichia coli. Results: The result shows that this disinfectant product is topically and orally safe for pets, and it can eliminate over 90% of the bacteria within one minute. Conclusion: Overall, a disinfectant spray for pets using chemically synthesized silver nanoparticles has been successfully developed, and this spray presents a potential domestic product for pets.
Deversification of crop production as a factor of sustainable development of the agro-industrial complex economy
Authors:   S.Seifullin Kazakh Agro Technical Research University, Nurmukhametov N. , Temirova A. ,   S.Seifullin Kazakh Agro Technical Research University, Kenzhin Zh. ,   Academy of Physical Culture and Mass Sports
Published: January 2024

This article explores modern approaches to determining the features of crop production diversification of the agro-industrial complex as a mechanism that affects the process of crop production, which directly affects the efficiency of agricultural producers. The scientific study analyzes statistical data on the main types of agricultural crops (crop production) of the agro-industrial complex, which, according to the authors, make it possible to assess the current situation that contributes to the sustainable development of crop production as one of the important sub-sectors of the agro-industrial complex. For economic analysis, the dynamic changes of such indicators of monocultures in agriculture as the share of wheat, oilseeds and fodder crops in the sown area of the republic from 1990 to 2023 and other statistical data that allow us to assess the impact of certain factors on the sustainable development of agricultural crop production have been studied. The profitability of agricultural crops of the Akmola region has been determined, taking into account their agro-climatic zoning. Currently, in the agro-industrial complex, the need for deversification in crop production is caused by external factors such as digitalization, the introduction of lean technologies, as well as climatic conditions, which affects the sustainability of the production process of agricultural producers. Taking into account the peculiarities of crop production as a sub-branch of the agro-industrial complex, the authors identified the reasons for the monoculture of wheat in Kazakhstan and the lack of diversification of crop production.
Transformation of accounting in the digital economy and prospects for its development
Authors:   Esil University, Tussibayeva G. , Sagindykova G. ,   Esil University, Amanova G. ,   L.N. Gumilyov Eurasian National University
Published: January 2024

The article examines the features of the digital economy, analyzes its implementation in the Republic of Kazakhstan with the study of domestic and world statistics. The authors present the technologies and methods of digitalization of accounting. The paper presents the blockchain technology, a flowchart of the technology is given, its features, advantages and problems of implementation are analyzed. Blockchain technology makes it possible to apply in accounting procedures such as triple entry, digital audit, smart contracts, cloud data storage, use of transactions, exclusion of unconfirmed expenses and others. Along with the undoubted advantages of using blockchain technologies, it is necessary to name a number of problems related to their implementation, primarily in the field of regulatory support, ensuring the availability of competent specialists, as well as their training, investment and management systems. The authors propose directions for the introduction and development of digital technologies in accounting, including changing the accounting system, using a digital asset, expanding the qualitative and quantitative characteristics of "leased assets", the use of new digital currencies, and improving the skills of accounting personnel. Currently, it is necessary to actively develop the use of digital technologies in the field of accounting, since this is becoming one of the necessary conditions for maintaining the competitiveness of organizations. The purpose of this article is to study the main indicators of the development of the digital economy in the Republic of Kazakhstan, to analyze the problems in the field of digitalization in accounting, as well as to identify the main ways and factors of the development of digital accounting.
Effectiveness of Community-based Interventions in Improving the Oral & Dental Health of the Elderly People: A Systematic Review and Meta-analysis
Authors:   Assistant Professor, Department of Health Policy, Research Center for Evidence Based Medicine (RCEBM), Tabriz University of Medical Sciences, Tabriz, Iran., Azami-Aghdash Saber , Pournaghi-Azar Fatemeh ,   Associate Professor, Department of Restorative Dentistry, Research Center for Evidence Based Medicine (RCEBM), Tabriz University of Medical Sciences, Tabriz, Iran., Nouri Mahdi ,   Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran., Mohseni Mohammad ,   Assistant Professor, Department of Health Policy,Social Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran., Aghaei Mir Hossein ,   Assistant Professor, Department of Nursing, Institute of Health Education, Ardabil University of Medical Science, Ardabil, Iran.
Published: January 2024

Introduction: Considering the rapid growth in the number of aged people and their oral & dental health problems, there is a need for effective community-based interventions to improve their oral health. Objective: This study aims to investigate the effectiveness of community-based interventions in improving the oral & dental health of elderly people. Materials and Methods: This is a systematic review and meta-analysis. The related studies published from January 2000 to March 2023 were searched in PubMed, Scopus, Cochrane Oral Health’s Trials Register, and Web of Science databases. The risk of bias in the included studies was assessed using the Cochrane tool. Results: Nineteen articles were included in the review. Interventions were divided into four groups: educational interventions, oral & dental health care interventions, chewing gum, and combined interventions. A total of 95 indicators were examined in the studies, 53 of which were not statistically significant. Regarding the overall effectiveness of the interventions, 10 studies reported them as completely effective, 5 studies as relatively effective, and 4 as ineffective. Chewing gum had the highest effectiveness. The results of the meta-analysis showed that the mean difference in the dental plaque index between the intervention and control groups was -0.65 (95% CI; -2.03%, 0.74%, Q=59.6, df=5, P=0.001, I2=97.8%) the mean difference in the denture plaque index was -0.20 (95% CI; -0.38%, -0.02%, Q=3.22, df=3, P=0.36, I2=21.3%), and the mean difference in the gingival index was -0.36 (95% CI; -0.99%, 0.27%; Q=5.2, df=1, P=0.02, I2=80.9%). Conclusion: There are no clear advantages or evidence about the effectiveness of community-based interventions in improving the oral & dental health of elderly people.
Effect Of a Gym Ball Exercise Program on Dysmenorrhea in Nursing Students of a Selected College in Mangaluru, India: A Quasi-experimental Study
Authors:   Senior Nursing Tutor, ZION Institute of Nursing, Nirjuli, Arunachal Pradesh, India., Azabu Azabu , Fernandes Philomena ,   Professor, Department of Obstetrics & Gynecological Nursing, Nitte Usha Institute of Nursing Sciences, NITTE University, Mangalore, Karnataka, India., Thomas Timi ,   Assistant Professor, Department of Obstetrics & Gynecological Nursing, Nitte Usha Institute of Nursing Sciences, Nitte University, Mangalore, Karnataka, India.
Published: January 2024

Introduction: Dysmenorrhoea is one of the leading causes of school absenteeism among adolescent girls. Many women have menstrual cramps before and during their menstrual periods. For some women, the discomfort is merely annoying. Methods used to relieve dysmenorrhea include; exercise, a healthy diet, and yoga. Objective: This study aims to evaluate the effect of a gym ball exercise program on dysmenorrhea in nursing students from a selected college in Mangaluru, India. Materials and Methods: This is a quasi-experimental study on 52 eligible nursing students (26 in the exercise group and 26 in the control group). A pre-test assessment was done in both groups to assess the level of dysmenorrhea by using the numerical pain rating scale. The gym ball exercise was performed in the exercise group for 3 weeks prior to their predicted menstrual date, three times a week, each for 45 minutes. The post-test assessment was done on the first day of their menstruation and followed up one month later to assess the sustainability of the effect of the exercise. To analyze the data, inferential statistics, including chi-square test, Fisher’s exact test, Wilcoxon signed rank test, and Mann-Whitney U test were used. Results: The participants had moderate to severe pain. They had regular menstrual cycles lasting for 28-30 days, with a menstrual duration of 3-6 days, and moderate bleeding. The level of dysmenorrhea in the exercise group was lower (2.69±1.15) than in the control group (4.77±1.75) in the post-test phase. The mean level of dysmenorrhoea in the follow-up phase was 3.08±1.74 and 4.35±1.79 in the exercise and control groups, respectively. A significant difference was found between pre-test and follow-up pain scores (P=0.001) and between post-test and follow-up pain scores (P=0.001). Mann-Whitney U test results showed a significant difference between the two groups in the post-test (P=0.001) and follow-up phases (P=0.001). Conclusion: The four-week gym ball exercise program is effective in reducing the intensity of dysmenorrhea in nursing students.
LASER in Oral and Maxillofacial Surgery- Review of literature
Authors: Dr. Jincy Nazar  , Dr. Nibin T N
Published: January 2024

Since the advent of lasers, they have found tremendous application in all fields of science. In recent times, lasers are viewed as an integral part of many of the surgical and medical practices currently employed. Hence, it becomes increasingly important to understand the rationale behind the use of lasers so as to use them efficiently and without undue inhibitions. The use of lasers in oral and maxillofacial surgery has seen a phenomenal increase in both, applications of lasers for different techniques, and also the number of surgeons opting to use them on a regular basis. This article serves to update practitioners on the development and current applications of these modern tools in regular practice so as to efficiently perform dental treatment and minimize complications associated with conventional techniques.
Effect of noise on the robustness of MobileNetV2+U-Net semantic segmentation model for MRI images
Authors: Gunawan Nur Cahyo  , Choirul Anam  , Kusworo Adi
Published: January 2024

This study aims to evaluate effect of noise on the robustness of semantic segmentation models for Magnetic Resonance Imaging (MRI) head images with tumor. We implemented the MobileNetV2+U-Net architectural model. We tested the segmentation model with Gaussian and Poisson noises in various levels. The addition of noise was performed five iterations with a variance of 0.01 each iteration. We carried out evaluations by examining the segmentation results, loss function values, accuracy and dice score. Based on the results, increase in noise affects model performance. Evaluation using loss function shows that graph instability is influenced by the noise level. The accuracy results on the highest and lowest validation data were 99.47% and 98.99% for Gaussian noise and 99.64% and 99.5% for Poisson noise. Apart from that, the highest and lowest dice scores were 82.80% and 69.18% for Gaussian noise and 87.83% and 83.10% for Poisson noise. We recommend training the segmentation model using noisy data so that the model can adapt to noisy images.
Evaluation of Elasticity, Dose Reduction, and Image Quality on Sr-Pb Shield for Thoracic CT Examination
Authors: Nurul Hidayatullah  , Heri Sutanto  , Choirul Anam  , Yosi W. Wardhana  , Riska Amilia  , Ariij Naufal  , Ulil A. Taufiq
Published: January 2024

The performance of chest CT always involved the scanning of breast since it was positioned within the scan range. It makes this organ always receives an amount of radiation that potentially harms the biological system. Many attempts have been performed to reduce the radiation doses objected to breast, including the utilization of radio-protective shield. This study aims to develop the radio-protector shield silicon rubber (SR) - Lead (Pb) based for the breast. The shield was developed with a thickness of 0.6 mm and SR:Pb ratios of 100:0, 98:2, 96:4, 94:6, and 92:8. After that, the shield was placed over an anthropomorphic phantom. The shield’s reliability was tested in terms of elasticity, radiation dose, and image quality. The elasticity level of a material was indicated by Young's modulus yielded. Our results showed that the Young's modulus decreased as the percentage of Pb increased. Breast surface dose was measured using a Radcal ion chamber on the surface of the breast phantom. The measured dose was reduced as Pb increased, the dose using shielding at the highest percentage of 92:8 wt% is 8.71 mGy. The measured SNR without using shielding is 18.38, while the measured SNR using shielding 100:0, 98:2, 96:4, 94:6 and 92:8 was 18.47; 17.45; 16.65; 15.49, and 14.23, respectively. SR-Pb shielding has a Young’s modulus less than 0.035 GPa and can cover the chest of phantom well. SR-Pb shield was able to reduce the breast dose by 26% while the image quality in all variations of the SR:Pb ratio was above the rose criterion value with an insignificant decrease.
Network intrusion detection using ensemble weighted voting classifier based honeypot framework
Authors: Pothumani Parvathi , Sreenivasa Reddy E
Published: January 2024

The Internet of Things (IoT) is a new model that connects physical objects and the Internet and has become one of the most important technological developments in computing. It is estimated that by 2022, one trillion physical objects will be connected to the Internet. The poor accessibility and lack of interoperability of many of these devices in a vast heterogeneous landscape make it difficult to design specific security measures and implement specific defences mechanism in addition, IoT networks are still open and vulnerable to network disruption attacks. Therefore, there is a need for additional security tools related to IoT. Intrusion Detection System could serve this purpose. Intrusion detection is the process of monitoring and analyzing network traffic in order to detect potential security breaches and unauthorized access to a IOT network. It involves the use of various technologies and techniques to identify and respond to potential threats in real-time. Network intrusion detection helps organizations protect their valuable assets, including sensitive data, intellectual property, and financial resources, from cyberattacks. By detecting and responding to potential security breaches in a timely manner, network intrusion detection systems can help organizations prevent or mitigate the impact of security incidents, minimize downtime and financial losses, and maintain the integrity of their operations and reputation. Weighted soft voting is a technique used in network intrusion detection to improve the accuracy and reliability of the detection process. It involves combining the results of multiple intrusion detection systems (IDS) based on decision tree, random forest and XGBoost using a weighted approach that assigns different levels of importance to each system based on its performance and reliability. The basic idea behind weighted soft voting is to give more weight to the predictions of IDS that have higher accuracy and lower false positive rates, and less weight to those that have lower accuracy and higher false positive rates. The proposed approach can help reduce the impact of false alarms and increase the sensitivity and specificity of the intrusion detection process.
Invisible Architecture
Authors: Barbara Anna , Perliss Anthony
Published: January 2024

Architects and designers Anna Barbara and Anthony Perliss dig deep into the unexplored, yet profound, relation between place and smell. How does the odour of a space, of a building, influence our perception of it? Moreover, how does said olfactory experience alter our very behaviour and understating of place? Tracing back the history of smell and architecture throughout cultures and centuries, Invisible Architecture is a groundbreaking exploration of the most invisible and overlooked of our senses, and its seemingly infinite applications in the world of design and architecture.
Psychological Effects of Russian War in Ukraine
Authors:   Department of General & Clinical Psychology, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine. Email: olena.khrushch@pnu.edu.ua, Khrushch Olena , Fedyk Oksana ,   Department of General & Clinical Psychology, Vasyl Stefanyk Precarpathian National University, Ivano-Frankivsk, Ukraine. Email: oksana.fedyk@pnu.edu.ua
Published: January 2024

The book "Psychological Effects of Russian War in Ukraine" is a comprehensive exploration of the profound psychological impact experienced by individuals and communities amidst the ongoing conflict. The book delves into a range of interconnected components, providing a holistic understanding of the complex dynamics associated with war. Beginning with an examination of Extreme Psychology and Military Psychology, the book sheds light on the mental challenges faced by both soldiers and civilians in the midst of conflict. Special Psychology then delves into the unique experiences of vulnerable populations, such as children, refugees, and individuals with pre-existing mental health conditions. Environmental Psychology explores the reciprocal relationship between the war-torn environment and psychological well-being, highlighting the influence of physical surroundings on stress, trauma, and coping mechanisms. Psychodiagnostics and Psychological Counselling form a crucial section, addressing the identification and treatment of mental health needs through effective diagnostic tools and counselling strategies. The book extends its focus to Clinical Psychology and Neuropsychology, offering in-depth analyses of the long-term mental health consequences and neurological implications of war on individuals. Rehabilitation Psychology, Psychotherapy, and Psychological Correction follow suit, presenting various strategies for rebuilding lives and mitigating the psychological aftermath of trauma. Health Psychology and Psychological Well-Being emphasize the intricate interplay between physical health and mental well-being, exploring the psychological factors that contribute to overall health outcomes in the context of war. Psychohygiene and Prevention of Mental Health Disorders shift the focus towards preventive measures and hygiene practices designed to safeguard mental health amidst the challenges of war. Socio-Psychological Aspects of War broaden the perspective to encompass the societal implications of conflict, examining collective trauma, displacement, and the influence of social dynamics on psychological well-being. The book concludes by delving into Allied & Associated Topics, touching on aspects such as social support, media impact, and international collaboration in addressing the multifaceted psychological aftermath of war. "Psychological Effects of Russian War in Ukraine" serves as a comprehensive guide for researchers, practitioners, and policymakers, offering valuable insights into the nuanced psychological dimensions associated with the ongoing conflict and its aftermath.
MENINGKATKAN KEMAMPUAN MEMBACA DAN MENULIS PERMULAAN SISWA KELAS II SDN SP4 KOBE KULO DENGAN MENGGUNAKAN METODE COOPERATIVE INTEGRATED READING AND COMPOSITION PADA TEMA 6 SUBTEMA 1 HEWAN DI SEKITARKU
Authors: Latif Sumar A , Jusuf Ridwan , Tamalene Asri S
Published: January 2024

This study aims to determine the increase in the ability of Class II students at SDN SP4 Kobe Kulo in reading and writing beginning in Theme 6 Sub-theme 1 Animals Around Me through the Cooperative Integrated Reading and Composition (CIRC) learning method,This type of research is class action research (Class Room Action Research). The PTK design in this study uses the Kemmis and McTaggart model which includes four steps, namely (1) action planning; (2) implementation of actions; (3) observation; and (4) reflection. This research was conducted in class II of SD Negeri SP4 Kobe Kulo with an allocation of 2 months for data collection, starting from April 2022 – June 2022. The data collection techniques used were observation, documentation and testing techniques. Data analysis techniques using descriptive statistical analysis.The results showed that: (1) The ability of class II students at SDN SP4 Kobe Kulo in reading and writing at the beginning had increased after using the CIRC method. In cycle I, the average ability of students who achieved mastery in learning to read was 8 out of 15 people or 53.33% in the less category. While the students' writing ability achieved learning mastery as much as 9 out of 15 people or 60% in the sufficient category. In cycle II, 13 out of 15 students who achieved mastery in learning to read or 86.66% were in the very good category. As for the students' writing ability, 13 out of 15 people or 86.66% of the very good category achieved learning mastery.
PROBLEMATIKA DAN SOLUSI PELAKSANAAN PEMBELAJARAN TEMATIK PADA GURU KELAS RENDAH DI SD NEGERI KOTA TERNATE
Authors: Somadayo Samsu , Wulandari Selvi , Ibrahim Filia , Aprianti Aprianti
Published: January 2024

Penelitian ini bertujuan untuk mengetahui problematika pelaksanaan pembelajaran tematik di SDNegeri Kota Ternate yang dimulai dari perencanaan, pelaksanaan dan evaluasi pembelajaran, mendeskripsikan cara mengatasi problem yang dialami guru dan siswa selama pembelajaran. Problematika pelaksanaan pembelajaran tematik di SD Negeri Kota ternate dapat disimpulkan bahwa; Problem yang dialami guru yaitu: guru kurang kreatif dalam memilih media, kondisi kelas yang kurang maksimal, metode pembelajaran kurang bervariasi, keterbatsan sarana dan prasarana yang kurang memadai,  problem  perencanaan  pembelajaran,  dan  problem evaluasi  pembelajaran tematik.  Problem yang dialami siswa sebagai berikut: kemampuan baca tulis siswa yang lamban, kurang aktif dan antusias dalam proses pembelajaran dan kehadiran siswa yang kurang disekolah. Solusi yang ditempuh untuk mengatasi problematika dalam pelaksanaan pembelajaran tematik terkait problematika pendidik (guru) yakni: Guru harus kreatif dalam memilih media pembelajaran; guru harus mampu mengelolaan kelas; memilih  metode  pembelajaran  yang  variatif;  memanfaatkan  sarana  dan  prasarana  yang  ada  secara optimal; memperbaiki Perencanaan Pembelajaran; dan melaksanakan Evaluasi Pembelajaran Tematik. Solusi yang ditempuh untuk mengatasi problematika dalam pelaksanaan pembelajaran tematik terkait siswa yakni: meningkatkan kemampuan baca tulis siswa; membuat siswa aktif dan antusias dalam proses pembelajaran;  dan meningkatkan efektivitas  kehadiran siswa di  sekolah. ini  semua  dapat  dilakukan pendampingan/pelatihan guru di SD Negeri Kota Ternate.
Artificial Intelligence-Enhanced Neurocritical Care for Traumatic Brain Injury : Past, Present and Future
Authors: Kim Kyung Ah , Kim Hakseung , Ha Eun Jin , Yoon Byung C. , Kim Dong-Joo
Published: January 2024

In neurointensive care units (NICUs), particularly in cases involving traumatic brain injury (TBI), swift and accurate decision-making is critical because of rapidly changing patient conditions and the risk of secondary brain injury. The use of artificial intelligence (AI) in NICU can enhance clinical decision support and provide valuable assistance in these complex scenarios. This article aims to provide a comprehensive review of the current status and future prospects of AI utilization in the NICU, along with the challenges that must be overcome to realize this. Presently, the primary application of AI in NICU is outcome prediction through the analysis of preadmission and high-resolution data during admission. Recent applications include augmented neuromonitoring via signal quality control and real-time event prediction. In addition, AI can integrate data gathered from various measures and support minimally invasive neuromonitoring to increase patient safety. However, despite the recent surge in AI adoption within the NICU, the majority of AI applications have been limited to simple classification tasks, thus leaving the true potential of AI largely untapped. Emerging AI technologies, such as generalist medical AI and digital twins, harbor immense potential for enhancing advanced neurocritical care through broader AI applications. If challenges such as acquiring high-quality data and ethical issues are overcome, these new AI technologies can be clinically utilized in the actual NICU environment. Emphasizing the need for continuous research and development to maximize the potential of AI in the NICU, we anticipate that this will further enhance the efficiency and accuracy of TBI treatment within the NICU.
JCAD deficiency attenuates activation of hepatic stellate cells and cholestatic fibrosis
Authors: Xie Li , Chen Hui , Zhang Li , Ma Yue , Zhou Yuan , Yang Yong-Yu , Liu Chang , Wang Yu-Li , Yan Ya-Jun , Ding Jia , Teng Xiao , Yang Qiang , Liu Xiu-Ping , Wu Jian
Published: January 2024

Background/Aims: Cholestatic liver diseases including primary biliary cholangitis (PBC) are associated with active hepatic fibrogenesis, which ultimately progresses to cirrhosis. Activated hepatic stellate cells (HSCs) are the main fibrogenic effectors in response to cholangiocyte damage. JCAD regulates cell proliferation and malignant transformation in nonalcoholic steatoheaptitis-associated hepatocellular carcinoma (NASH-HCC). However, its participation in cholestatic fibrosis has not been explored yet.Methods: Serial sections of liver tissue of PBC patients were stained with immunofluorescence. Hepatic fibrosis was induced by bile duct ligation (BDL) in wild-type (WT), global JCAD knockout mice (JCAD-KO) and HSC-specific JCAD knockout mice (HSC-JCAD-KO), and evaluated by histopathology and biochemical tests. In situ-activated HSCs isolated from BDL mice were used to determine effects of JCAD on HSC activation.Results: In consistence with staining of liver sections from PBC patients, immunofluorescent staining revealed that JCAD expression was identified in smooth muscle α-actin (α-SMA)-positive fibroblast-like cells and was significantly up-regulated in WT mice with BDL. JCAD deficiency remarkably ameliorated BDL-induced hepatic injury and fibrosis, as documented by liver hydroxyproline content, when compared to WT mice with BDL. Histopathologically, collagen deposition was dramatically reduced in both JCAD-KO and HSC-JCAD-KO mice compared to WT mice, as visualized by Trichrome staining and semi-quantitative scores. Moreover, JCAD deprivation significantly attenuated in situ HSC activation and reduced expression of fibrotic genes after BDL.Conclusions: JCAD deficiency effectively suppressed hepatic fibrosis induced by BDL in mice, and the underlying mechanisms are largely through suppressed Hippo-YAP signaling activity in HSCs.
Context-dependent resilience of intertidal seagrass and venerid clams after hyposalinity stress
Authors: Román M , Vázquez E , Viejo RM , Woodin SA , Wethey DS , Román S , Weidberg N , Troncoso JS , Mendez MM , Olabarria C
Published: January 2024

Reduced salinity in estuarine areas can negatively affect intertidal seagrass meadows where clams are harvested. However, legacy effects of hyposalinity on seagrasses and infaunal clams and on their interactions have seldom been studied. Legacy effects were examined in the intertidal seagrass Zostera noltei and juveniles of the clams Venerupis corrugata, Ruditapes decussatus and R. philippinarum. Low-salinity stress was applied to mesocosms that included assemblages of seagrass and the 3 clam species that were subsequently transplanted to 2 shellfish beds characterized by different environmental conditions (i.e. seawater temperature, salinity and nutrient concentration). After 2 mo, the morphological and biochemical traits of Z. noltei and the growth and mortality of the clams were measured. Past hyposalinity stress increased clam mortality and decreased Z. noltei leaf length. The native V. corrugata was the most vulnerable to past hyposalinity, whereas the introduced clam R. philippinarum was the most resilient. The presence of clams was associated with greater nitrogen content and biomass of the above-ground parts of Z. noltei. Survival of the clams after past hyposalinity stress was greater below Z. noltei than below bare sediment, indicating persistent positive interactions following the harsh environmental conditions and during low-salinity periods in the field. At the colder and more nutrient-rich site, positive interactions were more frequent and Z. noltei performed better. This supported the influence of abiotic conditions on the recovery process. Nonetheless, enhanced survival of clams below Z. noltei indicates that Z. noltei could favour the sustainability of these shellfisheries after exposure to extreme rainfall events.
Geriatric trauma care: improvement strategies
Authors:   , van der Vet Puck Constance Ryanne
Published: January 2024

Falls – and subsequent fractures – are the primary cause of accident-related death in the elderly. Due to the ageing population, the incidence of falls and fractures increases. This thesis aims to improve the care of geriatric patients (≥65 years) with a fracture. It focuses on three pillars: (i) multidisciplinary care pathways (MCPs), (ii) international comparisons, and (iii) patient-reported outcomes.

Chapter 2 focuses on the added value of an MCP in light of three clinical cases concerning geriatric hip fractures. An interhospital comparison to evaluate the differences between an MCP and extended standard care for geriatric hip fracture patients is made in Chapter 3. Chapter 4 evaluates the added value of a patient-based intervention to improve the screening and treatment of osteoporosis and prevent secondary fractures. In part II, the cultural-, and international differences in geriatric trauma care are evaluated. In Chapter 5, an intercultural comparison of geriatric hip fracture care is made between a Dutch hospital and a Swiss hospital to investigate differences in clinical outcomes such as complications, mortality, and hospital length of stay. Chapter 6 provides a global evaluation of geriatric hip fracture care. The last part (part III) of this thesis focuses on PROs. A fall-prevention intervention that assessed fear of falling is evaluated in Chapter 7. Quality of life, patient satisfaction, and rehabilitation of patients who sustained a low-energy fracture are studied in Chapter 8. A systematic review assessing how PRO are reported and the quality of reporting PRO is addressed in Chapter 9.
HAMBATAN DALAM MENERAPKAN NILAI-NILAI PANCASILA DI ERA SOCIETY 5.0 PADA GENERASI MILENIAL
Authors: Nurwahidin Muhammad , Perdana Dayu Rika , Mustakim Erni , Izzatika Amrina , Aulia Fadilatun Nisa
Published: January 2024

Pancasila, acknowledged and embraced as the ideology of the Indonesian people, holds a crucial role in shaping the nation's identity and objectives. The noble values embedded in Pancasila reflect the aspirations and hopes of the nation's formation, serving as the foundation for governance and guiding daily life activities. With core values such as Belief in One God, Humanity, Unity, Democracy, and Justice, Pancasila is not only the state philosophy but also a way of life for all Indonesians. The advancements in technology and the digital era play a central role in the transformation of contemporary society. Limitless access to information facilitates daily life; however, its impact is not solely positive. The threats to moral values and the existence of the nation's nobility become evident, especially in the trend of Westernization that poses a threat to cultural identity and the values of Pancasila. Therefore, a prudent understanding and application of technology are essential to safeguard the continuity of national values and the state ideology
Akurasi Data Curah Hujan Satelit Terhadap Data Pengukuran di Daerah Tangkapan Air (DTA) Waduk Sutami
Authors: Alie Angga Hermawan , Suharyanto Suharyanto
Published: January 2024

Sutami Reservoir that located in the Brantas River Basin is a multi-purpose reservoir, it’s used to provide of raw water, irrigation, flood control, and power plants, fish farm, and tourism. Rainfall data information is very important in hydrological analysis as the basis for determining operating patterns, water balances, and calculating sediment rates. Rainfall data that is recorded in a row can show us trends or the nature of rain, but in reality it is very difficult to obtain representative rainfall observation data, both in terms of quality and length of observation data, which is quite in accordance with what is required in several locations, it is very difficult due to the absence of rain stations or broken gauges. Therefore, by taking advantage of technological advances, it is necessary to analyze the accuracy of rainfall data via satellite (GPM V6 and TRMM 3B43 V7) as an alternative to using rainfall data to fill data shortages at certain locations. The results of the analysis of the two satellite rainfall data (GPM V6 and TRMM 3B43 V7) are based on the Nash Sutcliffe Efficiency (NSE) parameters, Root Mean Square Errror (RMSE), Real Error (KR), Correlation Coefficient (R) can be used as an alternative to rainfall data, with satellite rainfall data GPM V6 has better accuracy and performance with average value of NSE 0,8, RMSE 66,46, KR 21,63%, R 0,92.
A View Point of Literature Coaching Based on Brain Science: Focusing on the Development of Empathy
Authors:   The Korean Society of Culture and Convergence, Yu Ri
Published: January 2024

The purpose of this paper is to propose the direction of literature coaching to increase empathy. This study focuses on discussing the plans for literature coaching based on the brain scientific analysis of empathy. To this end, I would like to establish the concept of literature coaching based on discussions on literature education and coaching. I will also look at previous studies that have analyzed the mechanism of empathy in brain science. From a brain science perspective, the process of empathy can be divided into a brain that focuses on the senses for empathy, a brain that can be immersed in empathy situations, mirror neurons and insular lobe involved in empathy, a brain that responds emotionally through body use, and a brain that combines reactions through interaction. Accordingly, literature coaching can be arranged to awaken brain sensations through indirect experiences, immerse oneself in situations and characters for empathy, empathize and imitate characters due to mirror neuron activities, play using the body and five senses, and discuss using the principles of the social brain.