bluuebunny/crossref_metadata_2025 huggingface dataset:
Isolation of viable follicles from cryopreserved human ovarian tissue
Authors: Tajbakhsh Farnaz , Tavana Somayeh , Ashtiani Mohammad Kazemi , Abtahi Naeimeh Sadat , Tahaei Leila Sadat , Moini Ashraf , Fathi Rouhollah
Published: December 2024

Introduction: Ovarian tissue freezing is the most effective method to maintain fertility for immature girls and women diagnosed with cancer. Nonetheless, because of the chance that malignant cells might reappearing following tissue transplantation, it is crucial to isolate the follicles from the frozen-thawed ovarian tissue of these individuals and employ them in the process of in vitro maturation process or artificial ovarian framework. This study aimed to assess the application of neutral red (NR) vital dye alongside collagenase IA for effectively isolating viable follicles from the vitrified human ovarian tissue samples.
Methods: Two categories existed: the category with NR and the group without NR. Chopped (0.5×0.5 mm) strips of vitrified-warmed ovarian tissue from 10 transsexual individuals were placed into two falcon tubes with HTCM and Collagenase IA (1mg/ml). Neutral red (NR) was introduced to one of the falcons. Follicles were then isolated mechanically. The morphology, size, and viability of the follicles were assessed. The condition of the follicles was evaluated using fluorescent staining methods involving Calcein-AM and Ethidium homodimer-I. The t-test method was used to evaluate the data.
Results: The number of isolated follicles with Neutral Red (46.50±25/02) exceeded those without NR (6.6±5.58; P < 0/0001). Additionally, according to the morphological studies, a majority of the isolated follicles from the transsexual ovarian cortex were primordial (77.4%), and primary (21.12%) follicles, with only a small number of secondary follicles (1.4%) identified in these tissues. Live/dead staining verified the viability of isolated follicles by displaying a green hue.
Conclusion: The finding indicates that combining collagenase I with the vital dye Neutral red significantly facilitates the of follicles from dense human ovarian tissue.
Impact of Exam Stress on Oral Hygiene and Periodontal Indices of Yazd Dental Students in 2024
Authors: Maybodi Fahimeh Rashidi , Mehr Mehrdad Homaei , Sabet Maryam
Published: December 2024

Introduction: Exams can be a potential cause of increasing students' academic stress. The current study examined the impact of exam-related stress on the oral health practices and periodontal measures of Yazd dental students in 2024.
Methods: In this cross-sectional study, a census was conducted on 42 fourth-year students. Following the acquisition of consent, two weeks prior and during the final week of the exams, measurements of the plaque index (PI), gingival index (GI), and stress levels were taken using the Gadzella questionnaire for comparison. Furthermore, the connection among gender, living apart from the family, and dormitory life concerning stress levels was explored. The students’ oral health habits of the students were also assessed via self-reporting. No guidance or hygiene instructions were given to the participants, and if there was any alternation in the frequency of brushing or flossing, the sample was excluded. Data analysis was conducted using SPSS22 software along with and paired T, Wilcoxon and Pearson tests.
Results: Gender, living with the family or independently, and living in a dormitory or a private home had no impact on students’ stress levels. The alternations in the PI and GI indices as well as academic stress changes were notable (P-value< 0.001). No significant correlation was detected between PI and GI concerning the frequently of brushing or flossing (P-value >0.05).
Conclusion: Taking into account the rise among students during exam periods along with the absents of a link between these changes and their overall oral hygiene habits, it seems that the stress from exams adversely affects oral health.
Morphophysiological Response of Peranggi Chili (Capsicum annum L. var chinensis) to Drought Stress
Authors: Daningsih Entin
Published: December 2024

Peranggi chili (Capsicum annum L. var chinensis) is a red chili that has a spicy taste. Peranggi chili is not widely known by the community and has not been widely studied. In addition, peranggi chili is very easily exposed to drought so its growth is easily disrupted. This study aimed to determine morphophysiology of peranggi chili with PEG treatment as drought stress with concentrations of 0%, 10%, 20%, and 30%. This research was conducted from June to November 2024. The study used an experimental method with a completely randomized design (CRD) to test the growth of peranggi chili with PEG 6000 treatment as drought stress with concentrations of 0%, 10%, 20%, and 30%. The treatment was given after the chili grew 30 days after transfer (DAT). Measurements were taken at 40, 50, 60, and 70 DAT. The results showed that the morphology of peranggi chili plants was not affected by different concentrations of PEG 6000 except root length which decreased significantly at 70 DAT. The shoot: root fresh and dry weight ratio decreased until 50 DAT and reduce slowly until 70 DAT. Similarly, physiological measurements in the form of chlorophyll a, b, and total content decreased from 50 to 70 DAT, but the treatment level had a different impact. From this study, the effect of drought stress using PEG 6000 0%, 10%, 20%, and 30% began to affect the vegetative growth of peranggi chili peppers at 50 DAT.
Fate and Transport of Heavy Metals in Soil, Surface Water, and Groundwater: Implications for Environmental Management
Authors: Dashtey Ahmed
Published: December 2024

Critical challenges caused by heavy metals, such as hexavalent chromium, arsenic, and cadmium, emanate from their persistence and toxicity. This work discusses the fate and transport of heavy metals in the soil, surface water, and groundwater, focusing on their sources, pathways, and mechanisms of mobility. The research, therefore, underlines the key processes governing the behavior of heavy metals in environmental media by using a comprehensive review of field data and advanced modeling techniques. It becomes evident that mining, discharge of industrial waste, and agricultural activities are the predominant anthropogenic sources of contamination. Besides these factors, speciation and, further, the bioavailability of metals depend upon the climatic and soil type, which affects the paths of transport of these species. This research has shown a dire need for some effective environmental management strategies using remediation technologies and regulatory frameworks that might help minimize the risks to ecosystems and human health.
Retention and Attrition in U.S. STEM Education with the Help of computer Technology and Curriculum Development
Authors: Prosper Emmanuel
Published: December 2024

The United States' capacity to maintain a competitive workforce in a world driven by technology has been largely determined by the retention and attrition rates in STEM (science, technology, engineering, and mathematics) education. High attrition rates, especially among disadvantaged groups, remain a major obstacle despite initiatives to promote STEM areas. This study investigates how curriculum development and computer technologies can help with these problems. Teachers can design more individualized and interesting learning experiences by incorporating state-of-the-art technological tools like virtual labs, adaptive learning platforms, and AI-powered tutoring systems into the curriculum. Additionally, encouraging interest and retention in STEM subjects requires innovative curricula that prioritize project-based learning, multidisciplinary approaches, and real-world applications. This study identifies the obstacles to STEM education retention, assesses the efficacy of curriculum and technology initiatives, and suggests practical ways to reduce attrition. The study intends to shed light on how educational systems might better prepare students for success in STEM fields by utilizing case studies, data visualizations, and theoretical frameworks
The Effects of in-Class Educational Games on Reaction and Agility Skills in Female Wrestling Athletes
Authors: Topcu Alperen , Edis Çağlar
Published: January 2025

Aim: The aim of this study was to investigate the effects of educational games including perception, decision making and reaction skills on agility and reaction skills.
Methods: A total of 24 young female wrestling athletes who regularly train 5 times a week were included in the study (Training Group= age: 20,08±2,19 year, height: 1,60±5,33 cm, body weight: 59,50±10,38 kg, bmi: 22,94±3,19, Control Group= age: 17,83±2,43 year, height: 1,62±,07 cm, body weight: 59,61±11,61 kg, bmi: 22,43±3,50). The training group was asked to play 8-week educational games involving perception, decision-making and reaction skills for 30 minutes in the classroom environment without much effort before routine wrestling training. Visual hand reaction (dominant, non-dominant and mixed hand), Y-Reactive and Speedcourt® agility tests were performed before and after the training sessions.
Results: Paired sample t test was used for intra-group comparison analyses and independent sample t test analyses were used for comparison statistics of data between 2 groups. The Y-Reactive agility of the training group was statistically significant (p
Cluster Set Direnç Antrenmanı Alana Özgü Fiziksel Performans Parametrelerinde Daha Büyük Gelişim Sağlayabilir: Kolluk Örneği
Authors: Cin Merve , Yıldız Çakır Lale
Published: January 2025

Amaç: Bu çalışmanın amacı, Kolluk /Askeri personellerin kuvvet antrenmanlarında uygulanan iki farklı kuvvet yönteminin maksimal kuvvet/güç ve sprint performansına olan etkilerinin karşılaştırılmasıdır.
Yöntem: Çalışmada kırk kolluk personeli (29,1± 3,1 yıl, 76,9 ± 8,3 kg, 177 ± 5,6 cm) geleneksel direnç antrenman grubu (GG, n = 20), cluster setlemeli direnç antrenman grubu (CSG, n = 20) olarak randomize bir şekilde iki gruba ayrıldı. Katılımcılar haftada 3 seans kuvvet antrenmanlarında yarım squat, deadlift, latpulldown ve bench press egzersizini geleneksel setleme yöntemini (3 set × 6 tekrar) ya da cluster setleme yöntemini (3 × 2+2+2 (set içi dinlenme 20s)) kullanarak uyguladı. Deneysel yöntem kullanılan çalışmada ön test ve son test olarak şınav, mekik, barfiks, 1 tekrar maksimal (TM), 10m ve 20m sprint testleri uygulandı. İki antrenman grubu arasındaki farklı değişiklikleri belirlemek için SPSS programında tekrarlanan ölçümler varyans analizi (ANOVA) ölçüm tasarımı kullanıldı (etkileşim: zaman × grup).
Bulgular: Her iki antrenman grubu 1 TM, barfiks, şınav, 10m ve 20m sprint performanslarında grup içi ön test ve son test sonrasında istatistiksel olarak anlamlı gelişmeler gösterdi (p
Technology-Related Safety Strategies Among College Student Survivors Using Campus-Based Advocacy Services
Authors: PettyJohn Morgan E. , Westmore Megan R. , Mammah Ricka , Schrag Rachel Voth , Wood Leila
Published: January 2025

Technology can be leveraged as a tool by perpetrators of interpersonal violence, which requires survivors to consider digital platforms as part of their safety planning processes. To explore how survivors are addressing these safety concerns, we performed secondary, qualitative content analysis of semistructured interviews with college students who used campus-based advocacy services for interpersonal violence. Participants described an array of technology-related safety strategies they implemented to protect themselves across multiple types of digital technologies. As a cohort of the internet age, many college student survivors reported having an extensive “digital footprint” which created challenges in identifying and addressing all possible security concerns. Campus-based advocacy services should integrate technology considerations into their safety planning using a survivor-led, empowerment approach which helps maintain access to digital platforms.
The counter-narrative of an ‘unaccompanied minor’-young offender in Spain
Authors: Herrera-Pastor David , Redondo-Castro Cristina , Payá-Gómez Marcos Alfonso , Molina-Cuesta Lorena
Published: December 2024

Unaccompanied Foreign Minors (UFM) are often framed as criminals by many people in the general population, rather than as at-risk children. This paper analyses the case of Ibrahim, a Moroccan boy who had both identities (migrant and offender), but whose case ended positively, in order to dismantle prejudices, show underlying inequalities, and learn from good practice. The research was carried out using a biographical research methodology, using the cross-narrative model. The main sources of information and data collection techniques were: a) Interviews with 12 key informants; b) Documentary records (all files related to his case); and c) More than 200 photographs, mostly of his rehabilitation process. The results are divided into two parts. The first one shows the (risk factors) living conditions of the unaccompanied minors in their contexts of origin. And the second one analyses the most relevant aspects of the successful intervention carried out with him. The conclusions are drawn from their analysis: Firstly, an approach is recommended that is focused on humanising ‘UFM’ and ensuring a basic standard of living conditions, which would also reduce migration and anti-social behaviour. Secondly, a social, personalised, ecological and empowering model of intervention must be applied to support individuals transforming their circumstances.
The impact of diversity and equality management systems on organisational dynamics: an Exploratory Analysis in small and medium enterprises
Authors: Rosa Angelo
Published: January 2025

The impact of Diversity and Equality Management Systems (DEMS) on organizational dynamics is a hot topic in scholarly debate. Human resource management practices targeted towards diversity and equality, such as recruitment and selection, compensation, training, mentorship, and development, constitute core components of DEMS. This study aims to assess which DEMS practices, if any, are implemented by SMEs to address the specific needs of minority and/or other disadvantaged groups and their effects on individual and collective performances. A tailored survey was administered to a sample of Italian make-to-order production SMEs in the furniture, textile-fashion, and mechanical sectors. The quantitative study examines whether companies implementing traditional High-Performance Work Systems (HPWS) are more sensitive to diversity and equality issues. Subsequently, the investigation focuses on gauging the impact of DEMS on individual and collective performances. Results indicate that DEMS practices are more prevalent in organizations accustomed to implementing advanced HPWS. Additionally, belonging to a formal business group contributes to the successful implementation of DEMS. The study's findings guide human resource managers to view diversity and equality management as an opportunity to enhance organizational well-being and improve group performances.
Cultural heritage and the category of the commons: a path to the recognition of a right to beauty?
Authors: Salvatore Barbara
Published: January 2025

The work aims to address the discussion on beauty in a legal dimension linked to the realisation and development of the human personality and society. In this dimension, the analysis starts from art. 9 of the Italian Constitution, which recognises protection of the interest - of individuals and the community - in the fruition of cultural heritage and the landscape, in order to analyse the assets not in their materiality nor in consideration of public or private ownership but in relation to the function they perform. A particular perspective, that of cultural heritage, which does not aim to privilege the static profiles of the ownership of goods, whether private or public, but rather to bring out the relationship between the person, as the centre of interests, and the goods that contribute to the realisation of the human personality. This issue needs to be compared, in the light of the peculiarities of cultural heritage, with the emergence of the new category of common goods and the rediscovery of forms of collective property in the Italian legal system.
Algo-Ritmos
Authors: La Selva Adriana
Published: January 2025

Editorial: Algo-Ritmos: novas fronteiras na documentação performativa
Algo-Ritmos
Authors: Angeli Diogo , Hirson Raquel Scotti , Okamoto Eduardo , Guimarães Maria Claudia Alves , Andraus Mariana Baruco Machado , Sperber Suzi Frankl
Published: January 2025

Texto de abertura: Algo-Ritmos: novas fronteiras na documentação performativa
STRENGTHENING THE SAFETY NET, PROTECTING WOMEN JUSTICE SEEKERS FROM THE CLUTCHES OF JUSTICE BROKERS
Authors: Nasrudin Muhamad , Zulaikha Siti , Lestari Enny Puji
Published: December 2024

Female justice seekers are vulnerable and find it difficult to access justice due to psychological factors (fear, inferiority, nervousness), financial problems, limited access to facilities and resources, limited knowledge in the legal field, and negative stigma about going to court. In these circumstances, East Lampung district may turn to the pamong desa (village officials). Unfortunately, village officials sometimes act as justice brokers, preventing women from further accessing justice. This paper refers to how the safety net was built and strengthened to protect justice seekers from the clutches of justice brokers. Therefore, this paper uses qualitative research with a socio-legal approach. Data was collected through conversation and focused group discussion among village officials, religious counselors, the Office of Religious Affairs (KUA), and Rumah Perempuan dan Anak (RPA) Lampung Timur to strengthen the position of female justice seekers. The data was analyzed using feminist legal studies, access to justice, and mediation as a framework. As a finding, female justice seekers are vulnerable and have limited access. Therefore, support should be provided by close community assets, namely religious counselors and village officials. These two parties need to be strengthened in terms of understanding the importance of the perspective of vulnerable women as legal subjects, prioritizing the interests of victims, the urgency of resolving both litigious and non-litigious cases, strengthening close, trusted networks, consolidating and distributing roles among community assets, strengthening mediation and advocacy skills, strengthening the role of the KUA and its assets, strengthening preventative functions, and strengthening the economic family based on the uniqueness of the village.
Implementation of Risk Management at Jatiluwih Space Venue in Jatiluwih Village, Tabanan, Bali (Case Study of Jatiluwih Cultural Week 2022)
Authors: Anggita Dewi Ni Wayan Anggita Dewi , Ariasri Nyoman Reni , Widaharthana I Putu Esa
Published: January 2025

Purpose: This study aims to examine the implementation of risk management at the Jatiluwih Space venue, focusing on the case study of Jatiluwih Cultural Week 2022.
Method: The research method used is qualitative, utilizing ISO 31000:2018 as a reference framework, which includes seven indicators: communication and consultation, context establishment, risk identification, risk analysis, risk evaluation, risk treatment, and monitoring and review. Data were collected through observations and in-depth interviews with seven informants.
Result: The findings indicate that the organizers implemented risk management based on ISO 31000:2018 during the Jatiluwih Cultural Week 2022. This included discussions related to venue risks, the establishment of roles and responsibilities, the development of risk identification steps, and the determination of risk levels through the cross-multiplication of probability and impact ratings, resulting in the identification of two levels of risk: low and medium.
Contribution: This research contributes by providing an example of ISO 31000:2018-based risk management implementation during the Jatiluwih Cultural Week 2022. The organizers successfully identified and assessed risks using appropriate methods, allowing them to manage risks at low to medium levels. These findings can serve as a practical reference for similar events in effectively implementing risk management.
Shoreline Change and Coastal Erosion: An Analysis of Long and Short-Term Alterations and Mitigation Strategies on the Coast of Icapuí, Northeast Brazil
Authors: Barros Eduardo Lacerda , Pinheiro Lidriana  de Souza , Guerra Renan Gonçalves Pinheiro , Moura Francisco José Maciel de , Paula Davis Pereira de , Neto Antônio Rodrigues Ximenes , Leisner Melvin Moura , Morais Jáder Onofre de
Published: December 2024

Sandy beaches play a crucial role as natural barriers against climate change and hold significant socioeconomic value. In the municipality of Icapuí, on the eastern coast of Ceará, erosion has affected some of its beaches since the 2000s, impacting structures near the Shoreline (SL), such as schools, inns, and residences. This article analyzed the SL dynamics on the beaches of Barreiras de Baixo, Barreiras de Cima, and Barrinha, located in the mentioned municipality, using two scales of analysis: in the short term, with in situ surveys using geodetic receivers between 2015 and 2023, and in the long term, with orbital images from 2002 to 2024. For statistical analysis, the End Point Rate (EPR) and Linear Regression Rate (LRR) methods were applied in ArcGIS software using the Digital Shoreline Analysis System (DSAS) version 5.1 extension. The short-term analysis revealed an average EPR of 0.0 m/year, with a maximum progradation of 7.1 m/year and maximum erosion of 6.4 m/year. The LRR showed an average of -0.2 m/year, with a maximum progradation of 7 m/year and maximum erosion of 6.7 m/year. The long-term analysis showed an average EPR of -1.1 m/year, with a maximum progradation of 0.5 m/year and a minimum erosion of 3.9 m/year, while the LRR indicated an average of -0.7 m/year, with maximum erosion of 3.6 m/year and maximum progradation of 1.6 m/year. These results indicate a more pronounced retreat of the SL over time. The analysis also revealed that containment structures, such as Rip-rap, have replaced wooden stakes and sandbags previously used by local communities, stabilizing 63.2% of the SL. The forecasts obtained through this study for the years 2034 and 2044 indicate shoreline retreat in areas still without protection, highlighting the urgent need for effective participatory planning. It is essential to align this planning with the Municipal Climate Change Adaptation Plan and the Integrated Coastal Management Plan (ICMP). Maintaining protection structures and conducting continuous monitoring is crucial to adapting coastal management strategies, protecting vulnerable communities and ecosystems.
Navigating Narrow Margins: A Behavior-Based Control Approach for Autonomous Mining Vehicles in Confined Underground Environments
Authors:   Innopolis University, Badr A. Al ,   Innopolis University, Almaghout K.
Published: December 2024

Autonomous navigation in underground mining poses a unique set of challenges, from GPS unavailability and high dust levels that compromise visual sensors to feature-poor environments that complicate localization and narrow tunnels that restrict vehicle movement. To address these issues, this paper presents a novel behavior-based control approach, integrating wall-following for lateral stability as the vehicle progresses toward designated positions. The path to these targets is generated by an A* algorithm, ensuring efficient route planning within confined spaces. For localization, an Extended Kalman Filter (EKF) fuses data from wheel odometry and an Inertial Measurement Unit (IMU), providing robust state estimation in the absence of GPS. The proposed system leverages a four-wheel steering mechanism with negative-phase control and is equipped with 3D LiDAR, ultrasonic sensors, wheel encoders, and an IMU for enhanced situational awareness and control. Simulation results validate the system’s ability to achieve precise navigation in challenging underground environments, even within tunnels that allow minimal clearance.
Surface Shape Identification with Legged Robots Using Tactile Sensing
Authors:   Innopolis University, Bulichev O. V. ,   Innopolis University, Maloletov A. V.
Published: December 2024

This paper presents an approach to terrain shape detection using an array of tactile sensors or motor torque and encoders. A sparse point cloud at points where the surface is touched by the robot’s feet is converted into a polygonal mesh and a dense 3D point cloud using $\alpha$-shapes derived from a 2D Delaunay triangulation. Cloud-to-Cloud (C2C) and Cloud-to-Mesh (C2M) metrics are used to validate the solution. In the study, a mathematical model of the robot-surface system is developed and numerical experiments are performed on the basis of this model. A modification of Delaunay triangulation is proposed to account for impassable or unexplored areas of the surface. The results of mathematical modeling are confirmed in hardware experiments.
On Quasi-Convex Smooth Optimization Problems by a Comparison Oracle
Authors:   Steklov Mathematical Institute of Russian Academy of Sciences, Gasnikov A. V. ,   Moscow Institute of Physics and Technology, Alkousa M. S. ,   ISP RAS Research Center for Trusted Artificial Intelligence, Lobanov A. V. ,   Moscow Institute of Physics and Technology, Dorn Y. V. ,   Innopolis University, Stonyakin F. S. ,   Research Center for Artificial Intelligence, Innopolis University, Kuruzov I. A. ,   Times School of Media, Bennett University, Singh S. R.
Published: December 2024

Frequently, when dealing with many machine learning models, optimization problems appear to be challenging due to a limited understanding of the constructions and characterizations of the objective functions in these problems. Therefore, major complications arise when dealing with first-order algorithms, in which gradient computations are challenging or even impossible in various scenarios. For this reason, we resort to derivative-free methods (zeroth-order methods). This paper is devoted to an approach to minimizing quasi-convex functions using a recently proposed (in [56]) comparison oracle only. This oracle compares function values at two points and tells which is larger, thus by the proposed approach, the comparisons are all we need to solve the optimization problem under consideration. The proposed algorithm to solve the considered problem is based on the technique of comparison-based gradient direction estimation and the comparison-based approximation normalized gradient descent. The normalized gradient descent algorithm is an adaptation of gradient descent, which updates according to the direction of the gradients, rather than the gradients themselves. We proved the convergence rate of the proposed algorithm when the objective function is smooth and strictly quasi-convex in $\mathbb{R}^{n}$, this algorithm needs $\mathcal{O}\left(\frac{nD^{2}}{\varepsilon^{2}}\log\left(\frac{nD}{\varepsilon%
}\right)\right)$ comparison queries to find an $\varepsilon$-approximate of the optimal solution, where $D$ is an upper bound of the distance between all generated iteration points and an optimal solution.
Convex-Concave Interpolation and Application of PEP to the Bilinear-Coupled Saddle Point Problem
Authors:   Moscow Institute of Physics ans Technology, Krivchenko V. O. ,   Innopolis University, Gasnikov A. V. ,   Yandex Research, Kovalev D. A.
Published: December 2024

In this paper we present interpolation conditions for several important convex-concave function classes: nonsmooth convex-concave functions, conditions for difference of strongly-convex functions in a form that contains oracle information exclusively and smooth convex-concave functions with a bilinear coupling term. Then we demonstrate how the performance estimation problem approach can be adapted to analyze the exact worst-case convergence behavior of first-order methods applied to composite bilinear-coupled min-max problems. Using the performance estimation problem approach, we estimate iteration complexities for several first-order fixed-step methods, Sim-GDA and Alt-GDA, which are applied to smooth convex-concave functions with a bilinear coupling term.
Room for Uncertainty in Remaining Useful Life Estimation for Turbofan Jet Engines
Authors:   Orel State University, Serenko I. A. ,   Moscow Institute of Physics and Technology, Dorn Y. V. ,   Times School of Media, Bennett University, Singh S. R. ,   Innopolis University, Kornaev A. V.
Published: December 2024

This work addresses uncertainty quantification in machine learning, treating it as a hidden parameter of the model that estimates variance in training data, thereby enhancing the interpretability of predictive models. By predicting both the target value and the certainty of the prediction, combined with deep ensembling to study model uncertainty, the proposed method aims to increase model accuracy. The approach was applied to the well-known problem of Remaining Useful Life (RUL) estimation for turbofan jet engines using NASA’s dataset. The method demonstrated competitive results compared to other commonly used tabular data processing methods, including k-nearest neighbors, support vector machines, decision trees, and
Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition
Authors: Abbaschian Babak , Elmaghraby Adel
Published: January 2025

The focus on speech emotion recognition (SER) has dramatically increased in recent years, driven by the need for automatic speech recognition-based systems and smart assistants to enhance user experience by incorporating emotional content. While deep learning techniques have significantly advanced SER systems, their robustness concerning speaker gender and out-of-distribution data has not been thoroughly examined. Furthermore, standards for SER remain rooted in landmark papers from the 2000s, even though modern deep learning architectures can achieve comparable or superior results to the state-of-the-art of that era. In this research, we address these challenges by creating a new super corpus from existing databases, providing a larger pool of samples. We benchmark this dataset using various deep learning architectures, setting a new baseline for the task. Additionally, our experiments reveal that models trained on this super corpus not only demonstrate superior generalization and accuracy but also exhibit lower gender bias compared to models trained on individual databases. We further show that traditional pre-processing techniques, such as noise reduction and normalization, are insufficient to address inherent biases in the data. However, our data augmentation approach effectively shifts these biases, improving model fairness across gender groups and emotions and, in some cases, fully debiasing the models.
Leveraging AIGC and Human-Computer Interaction Design to Enhance Efficiency and Quality in E-commerce Content Generation
Authors: Song Xue
Published: January 2025

In light of the accelerated growth of e-commerce, the generation of high-quality and efficient content has emerged as a pivotal factor in enhancing user experience and business value. However, conventional methods of content creation are prone to inefficiencies and creative constraints. This paper puts forth a comprehensive model based on the combination of existing generative pre-trained models and human-computer interaction design, with the objective of enhancing the efficiency and quality of e-commerce content generation. In particular, the initial stage of the process involves the utilisation of multi-modal data fusion technology, which facilitates the integration of diverse input sources, including images, videos, and textual data. This approach enhances the model's capacity to comprehend the multifaceted nature of products and services, thereby optimising the generation process. Secondly, a cross-domain sentiment analysis and recommendation engine was designed, which combined the self-attention mechanism in deep learning with the objective of analysing the popularity of the generated content according to consumer behaviour in real time and adjusting the generation strategy. Furthermore, the real-time feedback loop mechanism has been innovatively introduced, which enables the dynamic optimisation of content generation in accordance with user evaluation and click-through rate. This facilitates an improvement in the personalisation and accuracy of content. The experimental results demonstrate that the model markedly enhances the efficiency of content generation and user satisfaction on the e-commerce platform.
Embedded Device Vulnerability Repair Based on Hot Patches
Authors: Xi Zesheng , Zhang Bo , Wang Yunfan , He Chuan , Zhang Tao
Published: January 2025

Industrial control systems may be affected by vulnerabilities, leading to a series of security issues. However, existing vulnerability remediation methods mainly include static patching and dynamic patching, but due to the hardware resource constraints and complex application environments faced by embedded devices, these traditional methods all suffer from the limitations of high risk of service interruption and high resource overhead, which make it difficult to satisfy the special needs of embedded devices in terms of security and continuity assurance. For this reason, this paper proposes a hot-patch-based vulnerability repair method for embedded devices. The method utilizes hardware built-in functions to perform vulnerability repair during system runtime, effectively reducing system downtime and optimizing resource consumption during the repair process. Specifically, the repair method proposed in this paper contains four steps: vulnerability identification, vulnerability localization, patch preparation and patch switching. By using the onboard debugging unit to replace instructions at runtime, thus avoiding device downtime and system reboot, the system continuity of the embedded device is guaranteed.The experimental results show that this method achieves efficient and secure vulnerability repair while meeting the real-time and resource constraints of embedded devices, providing an innovative and effective way to improve the security and reliability of embedded devices.
Climate Change Adaptation Knowledge among Rice Farmers in Lake Toba Highlands
Authors: Ismail Rizabuana , Revida Erika , Lubis Suwardi , Kardhinata Emmy Harso , Sutatminingsih Raras , Manurung Ria , Hafi Bisru , Harahap Rahma Hayati , Sihotang Devi
Published: January 2025

This study was conducted to understand how rice farmers living in the highlands of Lake Toba, both as irrigated and non-irrigated rice farmers, began not to follow the traditional knowledge (TK) that they had for generations due to climate change. They develop ways to adapt and use specific strategies to maintain rice as a source of income and their lives. Using a qualitative research approach with a total of 130 respondents. Convenience and purposive sampling were used to identify potential respondents, and thematic analysis was used for data analysis. Data was collected through interviews with rice farmers about every process of growing rice, from sowing seeds to harvesting by separating filled and empty rice seeds. The results revealed that both categories of rice farmers have their behavior in dealing with climate change but found similar views in adjusting traditional knowledge (TK), such as to cope with rice planting and crop failure, joining farmer groups, not relying on climate change information, changing crop varieties and pumping system. On the one hand, this study shows that rice farmers can still maintain their livelihoods with different infrastructure (irrigation and non-irrigation). On the other hand, climate change is interpreted with the fading of traditional knowledge (TK) and changes in new strategies to cope with it. This research implies that the government, through its populist policies, should be able to see the vulnerability of rice farmers to climate change. They can only survive for a subsistence life without being able to improve the economic welfare of the family. Future studies can be extended to the entire Lake Toba highland region, specifically supporting traditional knowledge in rice farming by collecting different perspectives, and quantitative approaches can be used to gather more perspectives of broad opinions.
A Test of Market Efficiency: A Supervised Machine Learning Approach to Binary Options Trading
Authors: Evgeniou Ioannis , Manjrekar Anand Ravindra , Byers Joe Wayne
Published: January 2025

There has been significant progress in automating binary options trading and in developing more sophisticated trading strategies. Most of these tools rely on historical data of shorter time frames; often without verifying the presence of any predictable patterns. These trading systems lack robust predictive analytics, which results in exposing the retail traders to a significant risk. This study attempts to address this loophole through a comprehensive analysis using large datasets to detect the presence of any predictable patterns. The study involves the usage of a sophisticated machine learning technique such as XGBoost. The workflow commences from generation of datasets to feature extraction, then it is followed by patterns recognition for determining trading positions. The features and outcomes are stored and used for the hyperparameter tuning process which is followed by the model training process. The trained models participate in a forward testing simulation for prediction of trading position entries. The key performance metrics of win rate and total number of trades are calculated and displayed. The results will aid in investigating the existence of any predictable patterns within shorter time frame data with the usage of a trading bot that is powered by XGBoost. The findings of this research could significantly impact regulatory policies by showing a need for much stricter regulations over the minimum time frame involved for binary options trading. It would underline the necessity to protect the retail trader’s community from potential fraudulent trading activities from algorithmic trading firms that claim predictive power. This work will arm retail traders with the best practices and provide sufficient basis for informed trading decisions.
Exploring the Preventive Potential of Solubilized Sturgeon Oil on Acute Infection with Respiratory Viruses
Authors: Park Seong Ok , Uyangaa Erdenebileg , Lee Yong-Kwang , Yun Suk-hyun , Yu Minyeong , Kim Hyo Jin , Cho Hye Won , Byeon Hee Won , Lee Chong-Kil , EO Seong Kug
Published: January 2025

Acute respiratory viral infections (ARIs) are a major global cause of morbidity and mortality, posing significant threats to public health. Efforts to prevent and combat ARIs have focused on identifying suitable ingredients for nasal spray formulations targeting the nasal mucosa. However, issues such as foreign body sensation, irritation, discomfort, and safety concerns have emphasized the need for eco-friendly and safe ingredients derived from natural sources. In this study, we evaluated the efficacy of solubilized sturgeon oil (SSO), prepared as an oil-in-water nanoemulsion from Siberian sturgeon, in preventing ARIs via nasal spray administration. Pre-treatment via the intranasal route demonstrated that SSO effectively inhibited respiratory infections caused by SARS-CoV-2, influenza A virus (IAV), and respiratory syncytial virus (RSV), along with suppressing viral replication in both nasal and lung tissues. This suppression was associated with reduced pulmonary inflammation, as evidenced by decreased infiltration of inflammatory cells such as Ly-6C+ monocytes and Ly-6G+ neutrophils, as well as a reduction in pro-inflammatory cytokine production. Histopathological analyses further revealed that nasal administration of SSO significantly attenuated the progression of lung inflammation induced by viral infections. Notably, the protective effects of SSO against SARS-CoV-2, IAV, and RSV persisted for at least 6 h following nasal application. These findings underscore the potential of SSO as an eco-friendly and safe ingredient for inclusion in nasal spray formulations, offering significant promise as a primary defense against ARIs.
Student Literacy and Literacy Skills in Higher Education: A Bibliometric Review
Authors: Utomo Asep Purwo Yudi , Sugiharto Dwi Yuwono Puji , Kesuma Rossi Galih , Prasandha Diyamon
Published: December 2024

Student literacy and literacy skills are crucial in developing critical thinking, analytical abilities, and overall academic success in higher education. This study provides an initial overview of research developments on these topics through a bibliometric analysis of studies published between 2004 and 2023. Data were collected from the Scopus database, identifying 675 relevant publications, and analyzed using tools such as Scopus, Mendeley, and VOSViewer to explore research trends, dominant keywords, and collaboration networks in this field. The findings reveal that studies on student literacy have steadily increased over the past two decades, with the United States and Indonesia as leading contributors. Key themes frequently emerging in these studies include literacy, students, writing, reading, and teaching. Despite this growing interest, research specifically linking literacy and student literacy skills in higher education remains limited, with most studies focusing on general literacy aspects. These insights highlight the need for further exploration, particularly in developing students' critical literacy skills in higher education contexts. This study aims to map the landscape of student literacy research, provide insights into researcher contributions, and identify research gaps for future studies. Ultimately, these findings can guide future research and policy development to enhance literacy skills critical for academic success and professional readiness.
Determinants Affecting Students’ Satisfaction In The Use of Learning Management Systems on Instructional Content, Interaction, and Accessibility
Authors: Setiawan Budi , Rodgers Adrian
Published: December 2024

An Learning Management Systems (LMS) is important in boosting knowledge acquisition and information management in the digital world. This investigation examines factors affecting students' satisfaction with each aspect of the LMS instructional content, interaction, and accessibility. Using a quantitative research design, data was collected through an online survey from 104 undergraduate students at Universitas Pendidikan Indonesia. The results showed that over half of the participants were satisfied or highly satisfied with LMS features such as interaction, accessibility, and instructional content. 89.4% of students were satisfied with direct communication from the LMS in interaction. When asked about accessibility, 99% of respondents praised the platform's flexibility and ease of use. For the instructional component, 90 percent of students expressed satisfaction with the quality and accessibility of the materials provided. These findings are significant for educational institutes to enhance learning management system features as per user requirements, enabling more flexible and interactive learning approaches. Research related to learning management systems introduced at a tertiary institution to improve learning effectiveness during the pre- and post-COVID-19 period requires deep analysis, including different particulars shaped in the higher education landscape by the impact of the pandemic. This study significantly contributes to developing technology-based education policies in the digital age.
Designing an Integrated Learning Action Plan to Build Strategic Learning Environments
Authors: Giovanni Netaniel , Pangaribuan Martha Monica Olivia , Candra Deddy
Published: December 2024

This study explores an integrated instructional design framework by combining the ADDIE model, Dick and Carey’s systematic instructional phases, and Backward Design, aiming to bridge skill gaps and address organizational challenges within government agencies, specifically BDKPKU. The research focuses on creating strategic learning environments that enhance cognitive and affective outcomes while aligning competency development with financial accountability goals. Key dimensions evaluated include satisfaction, cognitive impact, instructional design, leadership, and learner orientation. Using a mixed-methods approach, the study incorporated pretests, posttests, and problem-solving action learning, revealing substantial improvements in participants' comprehension and practical application of concepts. The implementation emphasized self-regulated, collaborative, experiential learning activities tailored to real-world scenarios. Results showed significant increases in engagement, motivation, and collaboration, confirming the efficacy of the integrated learning model in fostering critical skills. The research underscores the importance of leadership commitment and adaptive scheduling in sustaining learning outcomes. This model offers a replicable framework for competency development across government agencies by aligning training objectives with organizational needs. Future applications could extend the model’s principles to address broader educational and organizational challenges, ensuring a sustainable impact on workforce performance and policy implementation. This approach emphasizes meaningful learning experiences, integrating theoretical knowledge with practical applications to achieve long-term professional growth.
Earthcomm Model's Influence on Spatial Thinking Capacity and Environmental Care Character Development: A Focused Study
Authors: Memmase Joice Zhenrike , Sumarmi Sumarmi , Purwanto Purwanto
Published: December 2024

Geography learning can be conducted with an Earthcomm learning model covering cognitive and affective skills. Solving these environmental challenges requires geographic and environmental literacy. This research evaluates the effectiveness of the Earthcomm model in enhancing spatial thinking and environmental care for high school students in Bululawang. A quasi-experimental design with pre- and post-tests randomly assigned 72 students to experimental and control groups. Instruments used were a 10-question spatial thinking essay, a 30-question environmental care survey, and Earthcomm-based worksheets. Analysis showed significant effects of the educational intervention on spatial thinking (p = 0.000) and environmental care (p = 0.023). Thus, a statistically significant correlation exists between those variables (p= 0,000), indicating that improving spatial skills may lead to greater environmental responsibility. The N Gain Score (NGS) assessment reveals that this model, with 47.9% NGS, is "less effective" in superior improvement due to the less implementation period in the syllabus, which necessitates further utilization and modification of the syllabus to guarantee effectivity. Despite such limitations, the findings have important implications for the Earthcomm model and its potential use in geography education, particularly in promoting spatial thinking and environmental care. This adds a small but important contribution to the limited literature on innovative geography curricula, illustrating how this model can equip students to meet the challenges of current global environmental issues. However, more attention will be paid to iterating, expanding, and applying the Earthcomm model to foster these skills.