bluuebunny/crossref_metadata_2025 huggingface dataset:
ЗЕЛЕНІ ФІНАНСИ: ТЕОРЕТИЧНИЙ АСПЕКТ ТА ОСОБЛИВОСТІ ФУНКЦІОНУВАННЯ В УКРАЇНІ
Authors: ШКВАРУК Діна , ДОНЧАК Леся
Published: April 2024

The article analyzes the concept of "green finance", which is the concept and practice of financial instruments and resources aimed at supporting projects and initiatives that promote environmental sustainability, as well as social and economic well-being. It can cover a wide variety of financial products, from loans and investments to debt and insurance, aimed at reducing the impact of human activities on the environment. The main idea is to promote sustainable development, preserve natural resources and improve the quality of life, while ensuring economic development. The main components of the green finance structure are identified: green bonds, green loans and credits, specialized insurance services, green investment funds, financing of green startups, etc. Green loans and credits issued by banks promote energy saving projects and the use of renewable energy sources. Green bonds issued by governments and companies attract investments for environmental initiatives. Investment funds focused on green technologies and sustainable construction are characterized by specialization. Socially responsible investments include sustainability and environmental responsibility criteria. Specialized insurance products cover risks associated with climate change. Green startup financing supports the development of innovative environmental technologies. This diversity reflects the growing interest in sustainability and environmental finance. Based on the analysis, the importance of theoretical substantiation of the concept of green finance in the context of Ukraine's European integration processes is proved. Strategies for overcoming the difficulties associated with the application of green finance in Ukraine are proposed. As for the strategies to overcome the difficulties, it is important to develop common standards and definitions for green finance, which will help to unify the understanding and application of this concept. In addition, engaging government agencies and international institutions to create a favorable legislative and regulatory environment is an important aspect. Financial barriers can be reduced through the development of incentives, subsidies, and other instruments aimed at green investments. Finally, it is important to promote education and awareness campaigns to raise awareness of the benefits and opportunities of green finance among all stakeholders.
ІНСТРУМЕНТИ ДЕРЖАВНОГО РЕГУЛЮВАННЯ ЕКСПОРТУ В УМОВАХ ВОЄННОГО СТАНУ
Authors: СМЕНТИНА Наталія
Published: April 2024

The article analyses the impact of the war in Ukraine on national entrepreneur’s export activity as the simplest form of their foreign economic activity. The general trends in the Ukrainian export of goods and services were revealed. For example, in the context of changes in geographical structure, the only available direction of Ukraine's foreign trade now is the west. Also, the unevenness of the export reduction by the sectors of the national economy was noted. The article shows the present of export reduction in all sectors of Ukraine economy.
The article defines the challenges faced by national entrepreneurs due to the introduction of customs-tariff and non-tariff state regulation of foreign economic activity as by the Ukrainian government and by global market players. Among the challenges, the following are identified: closing the markets of the aggressor country and the needs of finding new sales markets for nationally produced products; problems with logistics; changes in the list of goods whose export is subject to quotas and licensing.
The article shows the role of administrative economic instruments pursued to prevent food insecurity. Attention is focused on such an instrument of state regulation of foreign economic activity as the customs duty. The transformation of this state regulation instrument role from a kind of barrier to entering world markets into a preference for supporting Ukrainian business in the difficult conditions of war has been shown. Due to the weakening of the protective function of customs duties, the importance of non-tariff regulation tools in the form of technical barriers, subsidies, subsidies, currency regulation tools, etc. has been emphasized. The instruments of government financial support of Ukrainian entrepreneurs with export potential have been determined. The main of these tools are: informing businesses about changes in the legislative framework of foreign economic activity from the State Institution "Office of Entrepreneurship Development and Reforms"; stimulating export expansion through financial risk insurance; the possibility of obtaining grant support within the framework of the implementation of the government initiative "is a Job"; consulting support from the Chamber of Commerce and Industry.
КЕРІВНІ ПРИНЦИПИ СТВОРЕННЯ СТІЙКИХ ДО ПОТРЯСІНЬ ТА КРИЗ АГРОПРОДОВОЛЬЧИХ СИСТЕМ
Authors: ПОГОРЄЛОВА Олена
Published: April 2024

With the development and transformation of society, the environment, vulnerability factors and associated risks, as well as the range of stresses and shocks that have to be faced, also change. Understanding these processes is essential for developing effective interventions to manage multiple risks and increase the resilience of agri-food systems by strengthening their capacity to avoid, anticipate, manage, adapt and transform risks. Therefore, the formation of agro-food systems resistant to shocks and crises should become one of the key strategic goals of ensuring the national food security of the state.
Ensuring the sustainability of agro-food systems involves increasing their ability to prevent risks associated with specific shocks and stresses, anticipate and overcome them, adapt to them and transform. In addition, it involves guaranteeing the fulfillment of their special functional purpose, which is to support the functioning of the livelihoods of participants in agro-food systems and ensure food security and nutrition for all.
As a result of the research:
1) a conceptual scheme for analyzing the stability of agro-food systems in Ukraine as a result of shocks and crises caused by the war was developed. The analysis is based on three fundamental questions: 1) "resistance to what?" - an object of stability, "sustainability of what?" – the subject of sustainability and 3) "sustainability for what?" - the goal of stability;
2) it has been proven that in order to increase the resilience of agri-food systems, it is important that policies, strategies and programs are guided by three main principles: 1) preparedness for failures, 2) implementation of a system-wide, multilateral and cross-sectoral approach taking into account multiple risks and 3) consideration of various issues and components politicians The guiding principles in combination with the basic principles form the key factors influencing the components of the national agro-food system, which ensure their sustainability.
Pengaruh Problem Based Learning Berbasis Media Puzzle Quiz Terhadap Hasil Belajar Siswa Materi Puasa Ramadhan
Authors: Francisca  , Ani Nur Aeni  , Dadan Nugraha
Published: April 2024

The research was conducted because of the problem of low student learning outcomes in learning Islamic Religious Education in schools, especially elementary schools. One solution is to use interesting learning models and media, such as a problem based learning model based on puzzle quiz media. The aim of this research is to find out whether there is an influence and difference in improving student learning outcomes using the problem based learning model based on puzzle quiz media on the material of the month of Ramadan. The research method is a non-equivalent control group design quasi-experimental method with a sample of 30 students from the experimental group and the control group. The research was carried out in two schools, namely SDN Karangbaru as the experimental group and SDN Linggajaya as the control group. The results of research in the cognitive domain carried out using an independent t test showed that H1 was accepted, namely that there was an influence of the problem based learning model based on puzzle quiz media on Ramadan fasting material with a moderate influence test category based on the effect size test. Meanwhile, in the affective domain, the difference in the average attitude observation score of the experimental class at the first meeting and the second meeting was the average, with the results showing the difference in the average of the experimental and control classes. Meanwhile, in the cognitive domain, there is a difference in the increase in learning outcomes as shown by the difference in the N-Gain score with the N-Gain score of the experimental class being greater than that of the control class and both including moderate improvement. Meanwhile, in the affective domain, the difference in the average of two meetings between the experimental class and the control class was seen, with the experimental class having a greater increase. So it can be concluded that there is an influence and difference in improving student learning outcomes using the problem based learning model based on puzzle quiz media on the material of the month of Ramadan.
Students' Creative Thinking Ability Through the Project Based Learning (PjBL) Model Assisted by Talking Sticks
Authors: Suryaningsih Sri , Nurwalidainismawati  , Nurlailatun Ramdani
Published: April 2024

Having the ability to think creatively is preparation for facing the 4.0 era. The application of the Project Based Learning model assisted by Talking Stick in science subjects can create an active learning atmosphere, create new ideas, be cheerful and enthusiastic so that it can improve students' creative thinking abilities.  This research is a type of quantitative experimental research with a pre-experimental design.  The research was conducted in class V at SDN 01 Kaleo, SDN 02 Kaleo, and SD Inpres Kaleo, totaling 69 students.  The research instrument uses multiple choice tests and descriptions.  Data analysis uses the Actual Completion Limit (BTA).  The mastery of students' creative thinking abilities increased by 11.6% from the pre-test of 66.7% to the post-test of 78.3%.  After implementing the PjBL model assisted by Talking Stick, the classification of creative thinking abilities increased in the high category. There were no students in the pre-test while there were 14 students in the post-test.  The creative thinking abilities of fifth grade students in the science subject water cycle material can increase after implementing the PjBL model with the help of Talking Stick.  The development of a PjBL-based textbook with the help of Talking Stick for students' creative and critical thinking abilities is the idea for the development of this research.
An Analysıs Of The Applıcatıon Thınk Aloud Protocol Strategy In Identıfyıng Students' Creatıve Thınkıng Skılls In Elementary Schools
Authors: Nurwalidainismawati  , Azra Fauzi
Published: April 2024

Creative thinking skills can encourage students to develop their thinking broadly, but in reality creative thinking skills will only develop if students practice continuously. Therefore, special strategies are needed to increase students' creativity, especially in learning mathematics. The aim of this research is to analyze the use of the Think Aloud Protocol strategy in identifying students' creative thinking abilities in elementary schools. This research uses qualitative research using a descriptive approach. The research subject was class V which was carried out in the odd semester of the 2023/2024 academic year. Data collection techniques through written tests and interviews. The validation process uses triangulation of sources and methods using 4 stages of analysis from Miles and Huberman.  The results of the research showed that students in the very high creative thinking ability category mastered all 4 indicators of creative thinking ability, while those in the low creative thinking ability category mastered 1 of the 4 creative thinking ability indicators, this can be seen from their lack of fluency, flexibility, and lack of innovation in presenting. presentation of problem solving in questions. In conclusion, students' creative thinking abilities show different levels, especially in understanding the questions, describing the meaning of the questions, and explaining the answers to the questions. Therefore, involving students in habits of thinking will help students come up with different perspectives.
Pengembangan Video Animasi Mengenal Pokok Pikiran Sebagai Media Pembelajaran di Sekolah Dasar
Authors: Shabira Khairunnisa Pratidina  , Prana Dwija Iswara  , Ani Nur Aeni
Published: April 2024

This research is motivated by the fact that learning is still centered on the use of textbooks, causing students to be less interested in participating in learning, which affects students understanding, still confused in determining the location of the main ideas. The purpose of this research is to (1) explain the feasibility animated video Getting to Know the Main Ideas for fifth grade elementary school students, (2) determine the magnitude of the influence animated video Getting to Know the Main Ideas on the ability to determine the main ideas, and (3) analyze teacher and student assessments of the video animation Getting to Know the Main Ideas. The research method used is research and development with the ADDIE development model, namely Analysis, Design, Development, Implementation and Evaluation. Implemented for fifth grade elementary school students and teachers. Product feasibility was obtained from the validation with a feasibility percentage from material experts of 95% and a feasibility percentage from media experts of 78.4%. The magnitude of the effect was analyzed from the pretest and posttest results which were calculated using the paired samples test, showing a significance value of 0.000, less than 0.05. The product assessment results by teachers and students are in the range of 81-100% with very good criteria. Thus, the animated video Getting to Know the Main Ideas is suitable for use for learning, has a significant influence on the ability to determine the main ideas, and received a very good response from teachers and fifth grade elementary school students.
The Implementation of Three-Dimensional Figures in Learning Social Lessons to Improve the Learners' Cognition
Authors: Irma Sofiasyari  , Iin Indrianti
Published: April 2024

The use of learning media that is less interactive can cause students' cognitive deficiencies. Therefore, innovation is needed to use learning media that can improve students' cognitive abilities. Another fact is that the learning process only focuses on the teacher, so learning looks monotonous. So, based on the results of these observations, the research aims to improve the cognitive outcomes of elementary school students in social studies learning at SDN A Indramayu. This research is classroom action research, using the Kemmis & MC Taggart model, which applies 3 cycles. Data collection techniques use tests, observations, field notes, and documentation. The data analysis techniques used are quantitative and qualitative. Qualitative analysis applies to students' cognitive test results each cycle while qualitative analysis applies to observation results. The research results show that the use of three-dimensional media can improve the cognitive outcomes of class IV students at SDN A Indramayu. The research evidence is that the increase from pre-cycle to cycle I increased by 20.24%, from cycle I to cycle II by 15.34%, and from cycle II to cycle III by 5%. Based on the research results, it can be concluded that class IV students at SDN A Indramayu can improve their cognitive abilities by implementing three-dimensional media in social studies learning.
 
Penggunaan media pembelajaran yang kurang interaktif dapat menyebabkan kurangnya kognitif siswa. Maka dari itu, diperlukan inovasi untuk menggunakan media pembelajaran yang dapat meningkatkan kognitif siswa. Fakta yang lain, dalam proses pembelajaran hanya berpusat kepada guru, sehingga pembelajaran terlihat monoton. Berdasarkan hasil observasi tersebut, penelitian bertujuan untuk meningkatkan hasil kognitif siswa sekolah dasar pada pembelajaran IPS di SDN A Indramayu. Penelitian ini merupakan penelitian tindakan kelas, menggunakan model Kemmis & MC tagart, yang menerapkan 3 siklus. Tenik pengumpulan data menggunakan tes, pengamatan, catatan lapangan, dan dokumentasi. Teknik analisis data yang digunakan yaitu secara kuantiatif dan kualitatif. Analisis kualitatif berlaku untuk hasil tes kognitif siswa setiap siklus sementara analisis kualitatif berlaku untuk hasil observasi. Hasil penelitian menunjukkan penggunaan media tiga dimensi mampu meningkatkan hasil kognitif siswa kelas IV SDN A Indramayu. Bukti penelitian tersebut adalah peningkatan dari pra siklus ke siklus I meningkat sebesar 20,24%, dari siklus I ke siklus II 15,34% dan dari siklus II ke siklus III 5%. Berdasarkan hasil penelitian, dapat disimpulkan siswa kelas IV SDN A Indramayu kognitifnya dapat meningkat dengan mengimplementasikan media tiga dimesi dalam pembelajaran IPS
Analysis Of The Implementation Of The Merdeka Curriculum In 3t Areas (Underdeveloped, Frontier And Outermost) (Elementary School In Namohalu Esiwa Sub-District)
Authors: Harefa Maret Markus , Usman Herlina , Lestari Ika
Published: April 2024

An merdeka curriculum is a curriculum approach that focuses on developing 21st century skills, student independence and community involvement in the learning process. The independent curriculum carries the concept of independent learning which gives schools, teachers and students the freedom to develop innovations, learn independently and show creativity. This research aims to analyse the implementation of the merdeka curriculum at SD Negeri 078452 Berua, SD Negeri 071162 Esiwa, and SD Negeri 280520 Kota Namohalu Esiwa. The research method used was qualitative with a phenomenological approach. Data analysis was conducted using the Miles and Hubermen model. Data analysis was conducted with reliability, transferability, depenability, and confirmability. The results showed that there was uniformity in several important aspects of the implementation of Merdeka Curriculum in the three public primary schools. This uniformity includes the opening of learning activities, variations in learning methods and media, structured learning planning, the use of formative and summative assessments, and monthly supervision. Despite the commitment of teachers and education stakeholders in improving the quality of learning, there is still a need for further improvement.
Analısıs Kebutuhan Handout Bagı Mahasıswa Mbkm Untuk Mata Kulıah Statıstık Pendıdıkan SD
Authors: Selvi Wulandari  , Pamuti  , Anwar
Published: April 2024

This research aims to determine the extent to which students taking part in the MBKM program need handouts for educational statistics course material. This type of research is qualitative descriptive research. The research subjects were 30 PGSD students in semester V and semester VII. The results of the comprehension test showed that of the 13 Course Learning Outcomes (CPMK), only 3 CPMK were understood by MBKM students well with results of more than 60%, namely basics of statistics (83.33%), data presentation (67%) and measurement. central symptoms (67%). Interview analysis, of the 5 Graduate Learning Outcomes (CPL) that must be met, almost every CPL student experiences difficulties in realizing the CPL in the MBKM activities they participate in. Based on the results of comprehension tests and interviews conducted, MBKM students need handouts as a companion in carrying out activities. It is hoped that students can use this handout to understand the material independently and continue to follow MBKM activities well.
Meningkatkan Keterampilan Membaca Nyaring Peserta didik Menggunakan Metode Suku Kata Berbantuan Media Kartu Bergambar
Authors: Sitti Nur Fadillah  , Sisriawan Lapasere  , Muhammad Aqil  , Kadek Hariana  , Ryan Andika Pratama  , Vera Angelina Pesik
Published: April 2024

This research aimed to determine the improvement of oral reading skills by practising the syllable-assisted visual aid method using picture cards among first grade students at SD Negeri 24 Palu, Palu City, Central Sulawesi. The research was conducted in SD Negeri 24 Palu with 28 first grade students. Data collection methods included observation, testing and documentation, while data analysis used a descriptive quantitative and qualitative approach. This research is a type of classroom action research that consists of four phases: planning, implementation, observation and evaluation. The results of the data analysis show that in the first test only 50% of the students achieved classical completeness or scored above the minimum criteria. However, in cycle 1, the percentage of students achieving classical completeness increased to 85%. These results indicate a significant improvement in students' oral reading skills with the use of the syllable method supported by visual aids in the form of picture cards
Pengaruh Permainan Mencari Harta Karun terhadap Pemahaman dan Motivasi Belajar Siswa pada Materi Pecahan
Authors: Novianti  , Isrok'atun  , Dety Amelia Karlina
Published: April 2024

Matematika dilabeli dengan pembelajaran yang sulit dan membosankan, salah satu materi matematika yaitu pecahan yang dianggap sebagai materi tersulit, sehingga dibutuhkan solusi dengan cara memilih metode yang tepat. Penelitian bertujuan untuk mendapati pengaruh permainan mencari harta karun atas motivasi belajar dan pemahaman dalam materi pecahan kelas V. Metode yang diterapkan yakni quasi experiment jenis non-equivalent control group. Sampel dari siswa kelas V berjumlah 54 siswa. Instrumen menggunakan wawancara, angket, dan tes. Penelitian menggunakan teknik descriptive statistics analysis, analisis data, dan statistics inferential dengan uji n-gain, uji-t, dan uji prasyarat. Perolehan data penelitian menunjukan nilai rerata pemahaman 75 dan skor rerata motivasi belajar 95,04. Berdasarkan hasil data tersebut, dapat diartikan bahwa adanya pengaruh terhadap pemahaman dan motivasi belajar siswa saat menggunakan permainan mencari harta karun di kelas V.
Token-modification adversarial attacks for natural language processing: A survey
Authors: Roth Tom , Gao Yansong , Abuadbba Alsharif , Nepal Surya , Liu Wei
Published: April 2024

Many adversarial attacks target natural language processing systems, most of which succeed through modifying the individual tokens of a document. Despite the apparent uniqueness of each of these attacks, fundamentally they are simply a distinct configuration of four components: a goal function, allowable transformations, a search method, and constraints. In this survey, we systematically present the different components used throughout the literature, using an attack-independent framework which allows for easy comparison and categorisation of components. Our work aims to serve as a comprehensive guide for newcomers to the field and to spark targeted research into refining the individual attack components.
Heterogeneous graph community detection method based on K-nearest neighbor graph neural network
Authors: Liu Xiaoyang , Wu Yudie , Fiumara Giacomo , De Meo Pasquale
Published: April 2024

Traditional community detection models either ignore the feature space information and require a large amount of domain knowledge to define the meta-paths manually, or fail to distinguish the importance of different meta-paths. To overcome these limitations, we propose a novel heterogeneous graph community detection method (called KGNN_HCD, heterogeneous graph Community Detection method based on K-nearest neighbor Graph Neural Network). Firstly, the similarity matrix is generated to construct the topological structure of K-nearest neighbor graph; secondly, the meta-path information matrix is generated using a meta-path transformation layer (Mp-Trans Layer) by adding weighted convolution; finally, a graph convolutional network (GCN) is used to learn high-quality node representation, and the k-means algorithm is adopted on node embeddings to detect the community structure. We perform extensive experiments and on three heterogeneous datasets, ACM, DBLP and IMDB, and we consider as competitors 11 community detection methods such as CP-GNN and GTN. The experimental results show that the proposed KGNN_HCD method improves 2.54% and 2.56% on the ACM dataset, 2.59% and 1.47% on the DBLP dataset, and 1.22% and 1.67% on the IMDB dataset for both NMI and ARI. Experiments findings suggest that the proposed KGNN_HCD method is reasonable and effective, and KGNN_HCD can be applied to complex network classification and clustering tasks.
Sampleformer: An efficient conformer-based Neural Network for Automatic Speech Recognition
Authors: Fan Zeping , Zhang Xuejun , Huang Min , Bu Zhaohui
Published: April 2024

The Convolution-augmented Transformer (Conformer) model, which was recently introduced, has attained state-of-the-art(SOTA) results in Automatic Speech Recognition (ASR). In this paper, a series of methodical investigations uncover that the Conformer’s design decisions may not represent the most efficient choices when operating within the constraints of a limited computational budget. After a thorough re-evaluation of the Conformer architecture’s design choices, we propose Sampleformer which reduces the Conformer architecture complexity and has more robust performance. We introduce downsampling to the Conformer Encoder, and to exploit the information in the speech features, we incorporate an additional downsampling module to enhance the efficiency and accuracy of our model. Additionally, we propose a novel and adaptable attention mechanism called multi-group attention, effectively reducing the attention complexity from O⁢(n2⁢d) to O⁢(n2⁢d⋅f/g). We performed experiments on the AISHELL-1 corpora, our 13.3 million-parameter CTC model demonstrates a 3.0%/2.6% relative reduction in character error rate (CER) on the dev/test sets, all without the utilization of a language model (LM). Additionally, the model exhibits a 30% improvement in inference compared to our CTC Conformer baseline and trains 27% faster.
Combining Blood-Based Biomarkers and Structural MRI Measurements to Distinguish Persons with and without Significant Amyloid Plaques
Authors: Chen Yanxi ,   for the Alzheimer’s Disease Neuroimaging Initiative, Su Yi , Wu Jianfeng , Chen Kewei , Atri Alireza , Caselli Richard J. , Reiman Eric M. , Wang Yalin
Published: April 2024

Background: Amyloid-β (Aβ) plaques play a pivotal role in Alzheimer’s disease. The current positron emission tomography (PET) is expensive and limited in availability. In contrast, blood-based biomarkers (BBBMs) show potential for characterizing Aβ plaques more affordably. We have previously proposed an MRI-based hippocampal morphometry measure to be an indicator of Aβ plaques. Objective: To develop and validate an integrated model to predict brain amyloid PET positivity combining MRI feature and plasma Aβ42/40 ratio. Methods: We extracted hippocampal multivariate morphometry statistics from MR images and together with plasma Aβ42/40 trained a random forest classifier to perform a binary classification of participant brain amyloid PET positivity. We evaluated the model performance using two distinct cohorts, one from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) and the other from the Banner Alzheimer’s Institute (BAI), including prediction accuracy, precision, recall rate, F1 score, and AUC score. Results: Results from ADNI (mean age 72.6, Aβ+ rate 49.5%) and BAI (mean age 66.2, Aβ+ rate 36.9%) datasets revealed the integrated multimodal (IMM) model’s superior performance over unimodal models. The IMM model achieved prediction accuracies of 0.86 in ADNI and 0.92 in BAI, surpassing unimodal models based solely on structural MRI (0.81 and 0.87) or plasma Aβ42/40 (0.73 and 0.81) predictors. CONCLUSIONS: Our IMM model, combining MRI and BBBM data, offers a highly accurate approach to predict brain amyloid PET positivity. This innovative multiplex biomarker strategy presents an accessible and cost-effective avenue for advancing Alzheimer’s disease diagnostics, leveraging diverse pathologic features related to Aβ plaques and structural MRI.
Detecting multilingual hate speech targeting immigrants and women on Twitter
Authors: Kolesnikova Olga , Yigezu Mesay Gemeda , Gelbukh Alexander , Abitte Selam , Sidorov Grigori
Published: April 2024

Twitter has experienced a tremendous surge in popularity over recent years, establishing itself as a prominent social media platform with a large user base. However, with this increased usage, there has been a concerning rise in the number of individuals resorting to derogatory language and expressing their opinions in a demeaning manner toward others. This surge in hate speech has drawn significant attention to the field of sentiment analysis, which aims to develop algorithms capable of detecting and analyzing emotions expressed in social networks using intuitive approaches. This paper focuses on addressing the complex task of detecting hate speech and aggressive behavior while performing target classification. We explored various deep-learning approaches, including LSTM, BiLSTM, CNN, and GRU. Each offers unique capabilities for capturing different aspects of the input data. We proposed an ensemble approach that combines the top three performing models. This ensemble approach benefits from the diverse strengths of each individual model showing F1 score of 0.85 for English-HS, 0.94 for English-TR, 0.92 for English-AB, 0.84 for Spanish-HS, 0.86 for Spanish-TR, 0.97 for Spanish-AB, 0.74 for multilingual-HS, 0.94 for multilingual-TR, and 0.88 for multilingual-AB.
Smooth it up!: Extractive summary coherence enhancement
Authors: Akhmetova Dilyara , Akhmetov Iskander , Pak Alexander , Gelbukh Alexander
Published: April 2024

The paper focuses on the importance of coherence and preserving the breadth of content in summaries generated by the extractive text summarization method. The study utilized the dataset containing 16,772 pairs of extractive and corresponding abstractive summaries of scientific papers specifically tailored to increase text coherence. We smoothed the extractive summaries with a Large Language Model (LLM) fine-tuning approach and evaluated our results by applying the coefficient of variation approach. The statistical significance of the results was assessed using the Kolmogorov-Smirnov test and Z-test. We observed an increase in coherence in the predicted texts, highlighting the effectiveness of our proposed methods.
Hyperparameter optimization approaches to improve the performance of machine learning models for cardiovascular risk prediction
Authors: Sánchez-Jiménez Eduardo , Cuevas-Chávez Alejandra , Hernández Yasmín , Ortiz-Hernandez Javier , Hernández-Aguilar José Alberto , Martínez-Rebollar Alicia , Estrada-Esquivel Hugo
Published: April 2024

Machine learning algorithms have been used in diverse areas among applications, including healthcare. However, to fit an effective and optimal machine learning model, the hyperparameters need to be tuned. This process is commonly referred to as Hyperparameter Optimization and comprises several approaches. We combined three Hyperparameter Optimization techniques (Bayesian Optimization, Particle Swarm Optimization, and Genetic Algorithm) with three classifiers (Random Forest, Support Vector Machine, and XGBoost) to identify the best combination of hyperparameters that maximize model performance. We use the Framingham dataset to test the proposal. For classifier performance, the Support Vector Machine obtained the best result in recall (96.40%) and F-score (93.86%), while XGBoost obtained the best result in precision (96.30%) and specificity (96.36%). In the accuracy metric, both classifiers achieved 95%. Bayesian optimization had the best results in terms of accuracy, precision, specificity, and F-score metrics. Both Particle Swarm Optimization and Genetic Algorithm obtained the best result in the recall metric.
RETRACTED: Self fuzzy-genetic approach for boosting photovoltaic efficiency
Authors: El Alaoui Elfels Mohamed , Douiri Moulay Rachid , Raoufi Mustapha
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: On application of linear fractional programming problem using e-education system
Authors: Gomathi S.V. , Jayalakshmi M.
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
RETRACTED: Exploring the practice of integrating innovation and entrepreneurship teaching in visual communication design professional courses using hybrid optimization based ANFIS
Authors: Chongjuan Wang
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Ensemble self-attention technology for improving the accuracy and efficiency of lung disease diagnosis
Authors: Shafi Smd , Sathiya Kumar C.
Published: April 2024

Identifying diseases using chest X-rays is challenging because more medical professionals are needed. A chest X-ray contains many features, making it difficult to pinpoint the factors causing a disease. Moreover, healthy individuals are more common than those with illnesses, and various diseases occur at different rates. To diagnose the disease accurately using X-ray images, extracting significant features and addressing unbalanced data is essential. To resolve these challenges, a proposed ensemble self-attention-based deep neural network aims to tackle the problem of unbalanced information distribution by creating a new goal factor. Additionally, the InceptionV3 architecture is trained to identify significant features. The proposed objective function is a performance metric that adjusts the ratio of positive to negative instances, and the suggested loss function can dynamically mitigate the impact of many negative observations by reducing each cross-entropy term by a variable amount. Tests have shown that ensemble self-attention performs well on the ChestXray14 dataset, especially regarding the dimension around the recipient’s characteristics curves.
Non-fragile adaptive fuzzy observer for nonlinear systems with uncertainties
Authors: Fan Zhou , Yanjun Shen , Zebin Wu
Published: April 2024

In this article, a non-fragile adaptive fuzzy observer is proposed for nonlinear systems with uncertain external disturbance and measurement noise. Firstly, the nonlinear system is augmented by an output filtered transformation. The output with measurement disturbance is put into the state equation of the augment system. Then, we introduce fuzzy logic system (FLS) to approximate the measurement disturbance, and construct an augmented non-fragile adaptive fuzzy observer for the augment system. A Lyapunov function is constructed to reveal that the characteristic of estimation errors is uniformly ultimately boundedness (UUB). Finally, two experimental simulations are offered to confirm the validity of the proposed design method.
RETRACTED: Advanced NOMA-aided indoor optical wireless communications using improved quantum optimized resource
Authors: Venkatesan S. , Kempanna M. , Arogia Victor Paul M. , Bhuvanesh A.
Published: April 2024

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Detection of Autoantibodies Against the Acetylcholine Receptor, Evaluation of Commercially Available Methodologies: Fixed Cell-Based Assay, Radioimmunoprecipitation Assay and Enzyme-Linked Immunosorbent Assay
Authors: Diogenes Larissa , Dellavance Alessandra , Baldo Danielle Cristiane , Gozzi-Silva Sarah Cristina , Gomes Kethellen , Prado Monica Simon , Andrade Luis Eduardo C. , Keppeke Gerson Dierley
Published: April 2024

Background/Objective:

Myasthenia Gravis (MG) is an autoimmune disorder characterized by pathogenic autoantibodies (AAbs) targeting nicotinic acetylcholine receptors (AChR), disrupting neuromuscular communication. RadioImmunoPrecipitation Assay (RIPA) is recommended to detect AChR AAbs, but its complexity and radioactive requirements limit widespread use. We compare non-RIPA anti-AChR immunoassays, including Cell-Based Assay (CBA) and two ELISA kits, against the gold standard RIPA.

Methods/Results:

145 samples were included with medical indication for anti-AChR testing. By the RIPA method, 63 were negative (RIPA-Neg < 0.02 nmol/L), 18 were classified as B orderline (≥0.02 –1 nmol/L), and 64 were positive (RIPA-Pos > 1 nmol/L). The competitive ELISA showed poor agreement with RIPA (Kappa = 0.216). The indirect ELISA demonstrated substantial agreement with RIPA (Kappa = 0.652), with ∼76% sensitivity and ∼94% specificity for MG diagnostic. The CBA, where fixed cells expressing clustered AChR were used as substrate, exhibited almost perfect agreement with RIPA (Kappa = 0.984), yielding ∼98% sensitivity and 96% specificity for MG. In addition, a semiquantitative analysis showed a strong correlation between CBA titration, indirect ELISA, and RIPA levels ( r = 0.793 and r = 0.789, respectively).

Conclusions:

The CBA displayed excellent analytical performance for MG diagnostic when compared to RIPA, making it a potential replacement for RIPA in clinical laboratories. Some solid-phase assays (such as the indirect ELISA applied here), as well as CBA titration, offer reliable options to estimate anti-AChR AAb levels after confirming positivity by the CBA.∥
Analysis of occupational accidents for safety design
Authors: Vasconcelos Bianca M. , Santos Cynthia Jordão de Oliveira , Soeiro Alfredo , Barkokébas Junior Béda
Published: April 2024

BACKGROUND: Safety design covers proactive actions as it analyzes accident risks early in the enterprise life cycle, and considers the designer acting on accident prevention as a member of the construction team. OBJECTIVE: This paper proposes an accident investigation to establish links between accident causes and design to support Prevention through Design (PtD) tools. METHODS: This article analyzed more than a thousand severe and fatal accident cases in the construction sector. A systematic analysis method was structured based on descriptions of accident causes and measures that could be taken to avoid accidents. RESULTS: Analyzing the severe and fatal accidents, the safety measures implemented in the project design could avoid at least 23.6% of the events. As a result, the architectural and structural designs were more effective in accident prevention. The reference percentages and the design types that are more effective in preventing accidents are analyzed through a representative sample of the analysis of the accident. CONCLUSIONS: This research contributes to applying safety guidelines in design projects, directly assisting in project and construction management.
Return-to-employment for working-aged adults after burn injury: A mixed methods scoping review
Authors: Katsu Akane , Mackenzie Lynette , Elliott James M. , Mackey Martin , Tyack Zephanie
Published: April 2024

BACKGROUND: This scoping review aimed to identify the barriers, facilitators and benefits of returning to work following burn injury, outcome measures used, management strategies, and models of care. OBJECTIVE: To provide a comprehensive overview about working-aged adults returning to their preinjury employment after burn injury METHODS: We followed a pre-determined scoping review protocol to search MEDLINE, CINAHL, Embase, PsycINFO, PubMed, Scopus, CCRCT and CDSR databases between 2000 to December 2023. Papers reporting primary data from previously employed adults with cutaneous burn injuries were included. RESULTS: In all, 90 articles met the review criteria. Return-to-work was both an outcome goal and process of recovery from burn injury. Physical and psychological impairments were identified barriers. Job accommodations and modifications were important for supporting the transition from hospital to workplace. Employment status and quality of life sub-scales were used to measure return-to-work. CONCLUSIONS: Consistent definitions of work and measurements of return-to-employment after burn injury are priorities for future research. Longitudinal studies are more likely to capture the complexity of the return-to-employment process, its impact on work participation and changes in employment over time. The social context of work may assist or hinder return-to-work more than physical environmental constraints. Equitable vocational support systems would help address disparities in vocational rehabilitation services available after burn injury.
Energy May Be the Only Unique, Distinct, and Independent Entity in Nature
Authors: Segal Moshe
Published: April 2024

This paper is based on several additional papers, by the author of this paper, and as such, summarizes a broad theoretical research work. These papers intended initially to investigate the nature and the characteristics of the Entity of the _Electric Charge_. The first two parts of this research, dealing with _Electric Charge_, _Energy_, and _Space_, were published in two papers: "Energy Analysis of a Null Electromagnetic Wave" [1] and "The Nature of Space and Dark Energy, Based on Electric and Magnetic Fields' Behavior in Space in the Energy Pairs Theory Framework" [2]. The first paper, [1],  concluded that the Electric Charge is a form of _Energy_, similarly to Mass being recognized as a form of Energy by Einstein's Special Relativity Theory. And since all the tangible and perceptible matter in the universe is composed of only two Entities: Mass and Electric Charge, then, the first paper, [1], concluded that all the tangible and perceptible matter in the universe is just a form of Energy. The second paper, [2], provided a reasonable explanation for the mysterious Dark Energy and concluded that also _Space_ might be a form (or facet) of _Energy_. A third paper, by the author of this paper, "A New Theory Expands Einstein's General Relativity Theory to Include Both Electric Charge and Mass Entities" [3], studied the origins of the Electrically Charged Bodies' Interactions. It provided an explanation for what _causes_ the Attraction/Repulsion between Electric Charges, which is still a mystery, similarly to the explanation of Einstein's General Relativity Theory for what _causes_ the Attraction between Massive Objects. As such, the third paper, [3], is an expansion of Einstein's General Relativity Theory to include in it not only Massive Objects but also Electric Charges. Additional papers, by the author of this paper, which are also referenced in the body of this paper, focus on details and additional elements of this research, and this paper derives additional conclusions from all the previous papers mentioned above, with the most significant conclusion being that Nature, or the Existence, is composed of only one distinct and independent Entity: _Energy_. All other Entities used by Physics in order to understand or explain Nature are actually redundant and are necessary only to help humans percept Nature, and, this paper concludes, that all these other Entities are either facets of _Energy_ or tools we use to explain how Energies convert from one form of _Energy_ to another form of _Energy_, and how forms of Energies interact with each other.
Telemedicine from the perspective of health personnel in a public hospital in Paraguay, 2023Telemedicine from the perspective of health personnel in a public hospital in Paraguay, 2023
Authors: Kwan Chung Chap Kau , Riquelme Benítez Rafael
Published: April 2024

The study investigates the adoption of telemedicine in a public hospital in Paraguay in 2023, from the perspective of healthcare personnel. A quantitative, descriptive, and cross-sectional analysis was conducted through 23 interviews with healthcare staff who were selected based on their voluntary participation, excluding maintenance, administration, finance, and cleaning staff. An 11-question guide focused on the evaluation, implementation, usage, and economic, technological, and legal aspects of telemedicine was used. Key findings highlight the feasibility of telemedicine, its more frequent application in the private sector, and benefits such as ease of access, resource optimization, and time management. The security of medical information emerged as a paramount concern. The conclusion is that there is a positive acceptance of telemedicine among professionals, underscoring the need for institutional, governmental, and user support for its effective implementation.
АУДИТ ІННОВАЦІЙ В БУХГАЛТЕРСЬКОМУ ОБЛІКУ ТА ТЕХНОЛОГІЯХ УПРАВЛІННЯ
Authors: Кологонов Марлен Турдубекович
Published: April 2024

Formulation of the problem. Іnnovations introduced into accounting and management practices require adequate auditing to ensure their reliability and compliance with standards. However, existing approaches to the audit of innovations in accounting and management technologies may be insufficient or unadapted to modern requirements and realities of the market environment. The purpose of the study is to consider and analyze modern approaches to auditing innovations in accounting and the use of advanced management technologies to support innovation processes in enterprises. The object of the research is auditing methods and approaches used to assess the effectiveness and risks of innovative processes and products in accounting. Research methods: logical and meaningful method, methods of comparison, systematization, induction and deduction, analysis and synthesis, coefficient method. The main research hypothesis. The implementation of innovation audits in accounting and the use of advanced management technologies contributes to the improvement of the efficiency of management of innovation processes and ensures an increase in the competitiveness of the enterprise. Presenting main material. The article examines the formation and development of the market of business incubators in Kyrgyzstan. The types of services provided by business incubators were considered in detail, the structure of business incubators was characterized taking into account their types and types, the main industry markets in which they grow small innovative companies were described. An audit of articles on the dynamics of industry specialization of residents in business incubators and the main mechanism for placing residents in business incubators was conducted. Originality and practical significance. The study seeks to reveal the importance of the interaction between these two aspects and show how they can interact to support innovative processes and strategies in enterprises. By revealing methods and approaches to innovation audits and the use of advanced management technologies, this article provides practical recommendations for improving the efficiency of innovation project management, improving financial reporting and reducing risks. Conclusions and prospects for further research. The application of an integrated approach to the audit of innovations and the use of advanced management technologies can contribute to increasing the competitiveness and success of the enterprise in the conditions of constant changes in the market. The presence of proper innovation audit processes and the use of advanced management technologies is a necessary condition for achieving stable and successful development of the enterprise in the conditions of the modern economic environment.