bluuebunny/crossref_metadata_2025 huggingface dataset:
THE CORRELATION BETWEEN ACADEMIC STRESS AND ACADEMIC MOTIVATION IN FIRST-YEAR NURSING STUDENTS
Authors: Christino Sohndic , Telambanua Neva Cahyani , Purba Hedena Tabitha , Patrisia Ineke , Pramusita Santa Maya
Published: January 2025

Academic stress is a common phenomenon in academic environments, particularly among first-year students. Several students have reported that academic stress can influence their learning motivation, as evidenced by findings from this study. This research aims to examine the relationship between academic stress and academic motivation among first-year nursing students at a private university in Indonesia. A non-experimental quantitative research method with a cross-sectional approach was employed. The study population consisted of 419 first-year nursing students, with a sample size of 205 students selected through simple random sampling. The research instruments included the Educational Stress Scale for Adolescents (ESSA) by Sun et al. (2011) and the Academic Motivation Scale (AMS) by Vallerand et al. (1992). The ESSA instrument demonstrated high validity and reliability, with a Cronbach's Alpha of 0.932. The AMS questionnaire, validated and adapted into Indonesian by Natalya (2018), assessed intrinsic and extrinsic motivation as well as amotivation, showing robust psychometric properties (RMSEA ≤ 0.08; GFI ≥ 0.9; CR ≥ 0.7; α ≥ 0.7). Data analysis utilized Pearson correlation tests, revealing a significant relationship between academic stress and academic motivation (p = 0.001, p < 0.05). The findings indicate that increased academic stress can enhance academic motivation, highlighting the concept of positive stress (eustress). Future studies are encouraged to design interventions aimed at helping students balance academic stress and motivation using experimental methods.
EFEKTIVITAS TERAPI AUTOGENIK DALAM MENGURANGI NYERI PADA PASIEN POST EKSISI FAM DI SALAH SATU RUMAH SAKIT SWASTA DI BEKASI, JAWA BARAT
Authors: Sinulingga Elysabeth , Zendrato Joni Idola , Gulo Netral
Published: January 2025

Fibroadenoma mammary or FAM is a lump found in the breast and is a benign tumor. One of the management of FAM is by surgical excision. Surgical excision can cause side effects for patients, one of which is pain. Pain management can be done with pharmacological and non- pharmacological management. One of the interventions to reduce pain non-pharmacologically is autogenic therapy. Autogenic therapy is one of the relaxation therapies that seems to put oneself into a mild hypnosis which has benefits in reducing pain, reducing stress and muscle tension. This study was conducted on a patient post-excision FAM with complaints of post-excision pain with a scale using a numeric rating scale, a scale of 5 during activities and a scale of 4 when resting. The nursing implementation of autogenic therapy was carried out to patients for 3 days with a duration of therapy of 10 minutes and was carried out 3 times a day. The evaluation obtained on the first day of the patient's pain decreased from a 5/4 scale to a 3/2 pain scale, the second day evaluation became a 2/1 pain scale, the third day evaluation became a 1/0 pain scale. The results showed that autogenic therapy was effective in reducing pain post FAM excision.
BRIDGING THE NURSING CARE GAP: BUILDING QUALITY NURSING SERVICES FOR GAYS WITH HIV/AIDS THROUGH STANDARDIZATION, ENHANCEMENT OF NURSES' COMPETENCE, AND PATIENT PARTICIPATION
Authors: Silalahi Malianti , Pangaribuan Santa Maria , Permaida Permaida , Hermawan Stepanus Maman
Published: January 2025

Nursing care is a crucial aspect in addressing health issues, including Human Immunodeficiency Virus (HIV)/ Acquired Immunodeficiency Syndrome (AIDS), especially within the gay population. A lack of knowledge regarding nursing care for this population can hinder the reduction of HIV/AIDS cases. There is a need for HIV/AIDS nursing care standards that are not only comprehensive but also sensitive to the specific perceptions and needs of gay patients. Negative perceptions of nursing care can affect the quality of care and patient involvement in managing their health. Therefore, this study aims to explore these perceptions. This study employed a qualitative descriptive design to gain a deep understanding of the perceptions of gay patients with HIV/AIDS towards nursing care. Data was collected through in-depth interviews with 14 participants selected purposively. The interviews were designed to explore the participants' views, experiences, and expectations regarding the nursing services they received. The collected data was analyzed using thematic analysis, allowing the researchers to identify and categorize the main themes from the gathered information. Two main themes were identified during this study: The desired professional nursing services for gay individuals with HIV/AIDS and the limitations of nurses in involving gay clients with HIV/AIDS in the nursing care planning process. Consistent and standardized nursing care services, as well as enhancing nurses' skills and abilities through mentoring and training, are the expectations of gay individuals with HIV/AIDS towards professional nursing care. A heavy workload is a limitation faced by nurses in providing optimal nursing care to gay individuals with HIV/AIDS.
A look at MERCs as UPRmt regulatory hubs in age-associated heart diseases
Authors: Navarrete-Anastasio Gabriela , Ceja-Galicia Zeltzin Alejandra , Zazueta Cecilia , Silva-Palacios Alejandro
Published: January 2025

With the increase in life expectancy globally, the challenge of dealing with aging becomes more prominent. Aging is a risk factor for several diseases, including cardiovascular disease. Mitochondria, which have long been studied in relation to aging, play a crucial role in maintaining cellular homeostasis. However, there is a limitation in interorganellar communication as organisms age. The unfolded protein response in mitochondria (UPRmt) is activated during stress to maintain mitochondrial homeostasis and prevent the accumulation of damaged mitochondria. This response involves signaling from the mitochondria to the nucleus, leading to transcriptional changes. In the context of aging heart, this review explores the role of mitochondria in terms of function and morphology. It also discusses the impact of UPRmt on cardiac diseases such as heart failure, acute myocardial infarction, and dilated cardiomyopathy. The review also highlights the potential role of mitochondria-endoplasmic reticulum contact sites (MERCs) in modulating UPRmt during aging. Finally, it provides an update on molecules that induce UPRmt activity, potentially benefiting the aging heart with cardiac disease.
Machine learning framework for breast cancer detection with feature selection with L2 ridge regularization: insights from multiple datasets
Authors: Kandhasamy Premalatha , Devi Duraisamy Prabha , Kandhasamy Sivakumar
Published: January 2025

Aim: This study aims to investigate and apply effective machine learning techniques for the early detection and precise diagnosis of breast cancer. The analysis is conducted using various breast cancer datasets, including Breast Cancer Wisconsin, Breast Cancer Diagnosis, NKI Breast Cancer, and SEER Breast Cancer datasets. The primary focus is on identifying key features and utilizing preprocessing methods to enhance classification accuracy.

Methods: The datasets undergo several preprocessing steps, such as label encoding for categorical variables, linear regression for handling missing values, and Robust scaler normalization for data standardization. To address class imbalance, Tomek Link SMOTE is employed to improve dataset representation. Significant features are selected through L2 Ridge regularization, helping to pinpoint the most important predictors of breast cancer. A range of machine learning models, including decision tree, random forest, support vector machine (SVM), neural network, K-nearest neighbor, naïve bayes, extreme gradient boost (XGBoost), and AdaBoost, are applied for classification tasks. The performance of these models is assessed using metrics such as accuracy, precision, recall, F1-score, and the Kappa statistic. Additionally, the models' effectiveness is further evaluated using the receiver operating characteristic curve and precision-recall curve.

Results: The XGBoost model achieved the best performance on both the breast cancer Wisconsin and diagnosis datasets. The SVM model reached 100% accuracy on the NKI breast cancer dataset, while the random forest model performed optimally on the SEER breast cancer dataset. The feature selection process through L2 Ridge regularization was crucial in enhancing the performance of these models.

Conclusions: This work emphasizes the critical role of machine learning in improving breast cancer detection. By applying a combination of preprocessing techniques and classification models, the study successfully identifies significant features and boosts model performance. These findings contribute to the development of more accurate diagnostic tools, ultimately enhancing patient outcomes.
“A friend in need…”: India and the confrontation between Russia and the West
Authors: Kupriyanov A.
Published: January 2025

The article explores the key imperatives that have determined approaches to the crisis in Ukraine and related Russia–West confrontation by groups and forces who influence India’s foreign policy decision-making. The author analyzes the perception of the Ukrainian crisis by Indian society in general and by urban middle class, in particular, as well as by Indian expert community, media, military, economic and political elites. It is noted that the conflict came as a shock for these social groups who had viewed Russia as a friendly, but “fading” power. The lack of information and knowledge about military capacities and plans of Russia and Ukraine led to inflated expectations followed by disappointment. As the crisis escalated and the information deficit was eliminated, gradual change in public perceptions is traced, and the conflict’s relatively insignificant impact on the Indian domestic political agenda is observed. It is concluded that the course of the conflict in Ukraine is of greatest interest to the military and political elites. While the former try to glean military lessons from the armed conflict in Ukraine, the latter have been forced to resort to complex maneuvers in the international arena, in an attempt to sustain India’s balancing act in the face of pressure from its Western partners. The Indian leadership’s refusal to take a passive stance on the Ukrainian crisis in the summer of 2020 is explained by its awareness of the need to counter the challenges that India faces in economic, domestic, and foreign policy spheres, such as a possible food shortage, a slowdown in development programs resulting from decrease in foreign direct investment, a possible decline of Modi’s popularity, and concerns about Russia’s growing dependence on China.
Сhina’s attitude towards the Russia–West confrontation: evolution and state of official and social opinion
Authors: Babaev K.
Published: January 2025

The article offers a brief analysis of China’s official stance towards the geopolitical confrontation between Russia and the West in 2022–2024. On the basis of analysis of Chinese primary sources, it presents the evidence of the evolution and changes in China’s position in the years since the start of Russia’s special military operation, as compared to the preceding period. It is concluded that over the three-year period since 2022, China’s “neutrality” has taken a more friendly turn towards Russia. The article also reveals principal points of view in the Chinese expert community and society on the confrontation between Russia and the West, as well as on the role of China and the prospects of the country’s foreign policy in changing geopolitical landscape. Nuances and differences between Beijing’s official foreign policy course and the opinion of certain social groups and leading experts on the Russia–China and U.S.–China relations are shown. The author concludes that, while two opposite views on the Russia-U.S. confrontation and China’s role in it can be identified in China’s public discourse, the overall balance between these two approaches is gradually shifting in Russia’s favor.
Failed hopes: the Biden administration’s nuclear strategy and arms control policy
Authors: Mizin V.
Published: January 2025

In 2021, most arms control agreements were terminated, which led to a significant crisis in the international security structure. This situation was largely due to the actions of the U.S. President Joe Biden’s administration. The article explores U.S. policy on nuclear weapons and strategic forces in 2021–2024, assessing the potential benefits and necessity of reestablishing traditional arms control measures. The Biden administration’s expert potential and political priorities in this area are analyzed, as well as its plans, objectives, and steps in such areas as the anti-satellite threat, nuclear modernization and deterrence, and hypersonic weapons. It is concluded that despite J.Biden’s initial plans to make significant adjustments to the American strategy regarding nuclear weapons, the real approach taken by his administration to one of the key areas of U.S. security policy did not differ significantly from the line of the previous D.Trump administration. The article also examines the current state of bilateral Russia–U.S. relations in the security and nuclear arms control domains. While Russia is open to dialogue on issues of strategic stability, international security, and strategic offensive weapons if the United States is willing to take into account legitimate Russian concerns and key national security interests, it is shown how difficult such a renewed negotiation process would be.
The complex demise of the Afghan republic
Authors: Shabaan K.
Published: January 2025

Review of: Jamal A., Maley W. The Decline and Fall of Republican Afghanistan (Oxford University Press, 2023)
The African Corps: a new stage in Russia’s Africa policy and counterterrorism
Authors: Filippov V.
Published: January 2025

In late 2023, a special unit was created within the Ministry of Defense of the Russian Federation – the African Corps (AС). The formation of the corps marked a new stage in Russia’s Africa policy. The formation of AC by Russia’s political leadership and command of the Armed Forces was driven by several major challenges, above all, by shifting geopolitics on the African continent and rapid decline of France’s influence in Central Africa. It manifested itself in a reduction of the Fifth Republic’s military presence in the region – the end of “Operation Barkhan” and de facto expulsion of the French expeditionary forces from its formerly undisputed area of dominance in countries that had once been part of the French colonial empire. As terrorist attacks by radical Islamist militants against Russia-friendly states in the Sahel and Central Africa mounted, Russian military specialists from the ranks of “Wagner” private military company (PMC) got involved in the fight against terrorism and population protection upon the request of these countries’ governments. The 2023 mutiny staged by leaders and some of the fighters of “Wagner” PMC in Russia spurred the need to replace the relatively autonomous private military company with a unit of the Russian army, subordinate to a single political will and strict military discipline. The formation of the AС is intended to promote Russia’s geopolitical and economic interests in Africa, support counterterrorism, and strengthen defense capabilities of African states with which Russia has reached agreements on military–technical cooperation.
Ingeniería de la luz = Light engineering
Authors: Fuente Quintas Álvaro de la
Published: January 2025

ResumenComo ingeniero y a la vez fotógrafo, se presenta este perfil que puede aportar mucho al concepto marcado por la revista ArDIn. Se combinan los conocimientos técnicos de un ingeniero aeronáutico que habiendo trabajado en proyectos de investigación relacionados con este área combina su trabajo con la capacidad creativa y facilidad de crear contenido visual.AbstractAs an engineer and photographer, this profile can illustrate the concept that ArDIn magazine pretends. The expertise of an aeronautical engineer having worked on research projects related to this area combines perfectly with the creative and ease ability of creating visual content.
El tiempo contractual como condicionante de la elección modal.
Authors: Blanco Fernández Nuria
Published: January 2025

La ciudad contemporánea está definida por sus flujos y movilidades tanto como por sus características físicas y construidas. Sin embargo, no fue hasta la década de 1960 que despertó el interés por el análisis del tiempo urbano, de mano de los nuevos marcos de análisis de la sociología y la geografía temporal. Modelos urbanos más recientes, como la planificación temporal italiana o la ciudad de proximidad, se han nutrido de este análisis, pero se han ido alejando de las problemáticas que surgen en el entorno urbano como consecuencia de la necesidad de acceso al tejido productivo. Sin embargo, las constricciones temporales de la jornada laboral y la escasa autonomía asociada a los desplazamientos al trabajo reducen para el individuo el tiempo disponible para otras actividades o desplazamientos diarios. El presente trabajo busco estudiar la posible existencia de limitaciones temporales generadoras de dependencia del automóvil e independientes de la distancia de desplazamiento o de las condiciones espaciales del entorno urbano. Los marcos de análisis del tiempo urbano pueden ser relevantes en el estudio de los desplazamientos urbanos, añadiendo una capa más a la dimensión espacial desde la que habitualmente definimos y aprehendemos la ciudad.
Cutting-Edge Diagnostic Tools for Cardiac Amyloidosis Detection
Authors: Bashir Zubair , Khan Bilal , Bukhari Syed
Published: January 2025

The prevalence of cardiac amyloidosis (CA), especially as a cause of heart failure, has significantly increased in recent years. Early detection and accurate assessment of the disease burden are crucial for initiating timely treatment and ensuring precise prognosis. CA primarily results from the infiltration of the myocardium by either immunoglobulin light chain fibrils (AL) or transthyretin fibrils (ATTR), leading to restrictive cardiomyopathy and eventual death if untreated. Over the past decade, advancements in diagnostic imaging and heightened clinical awareness have revealed a substantial presence of CA, particularly ATTR, among the elderly. These diagnostic improvements encompass echocardiography, cardiac computerized tomography scan, magnetic resonance imaging, and radionuclide scintigraphy with bone-avid tracers. Concurrently, significant progress has been made in therapeutic options, with new disease-modifying treatments now available that can dramatically alter the disease trajectory and improve survival rates when administered early. However, despite these advancements, there remains an urgent need for the early and accurate detection of CA to ensure that patients can fully benefit from these emerging therapies.
Real-time New York Traffic Heatmap Analysis and Visualization
Authors: Chen Zhenrui , Hu Mingzhe , Wang Yukun , Chen Junyu , Su Miaobin
Published: January 2025

We developed a web application demo, dynamically monitoring and visualizing the traffic condition in New York City, with a focus on Manhattan. We took advantage of two public API providers: Tomtom and Openweather, for traffic-related streaming data including real-time intersection speed, historical density, and weather details. We proposed a novel congestion model and updated the traffic heatmap every 15 minutes. We implemented our visualization by Google Maps APIs and similar to Google Map layout, we quantified the congestion into three degrees and plotted streets with colors. Our demo achieved similar performance with Google Maps, but with more reasonable and accurate results. Our work can also accept streaming data to achieve high-level concurrency.
Nanoceria Inhibit the Cell Migration from 3D Tumor Spheroid Formed From 4T1 Human Breast Cancer Cells
Authors: Mysina Elena , Vinnik Darya , Pivovarov Nikita , Popova Nelli , Chukavin Nikita , Popov Anton
Published: January 2025

The use of various nanoformulations for cancer radiotherapy has great potential due to their increased effectiveness and safety. At the stage of preclinical evaluation of such nanoformulations in vitro, they are tested on monolayers of tumor cell cultures, which is an unrealistic representation of tumors in vivo, which leads to an inaccurate selection of suitable drugs. To solve this problem, 3D cellular spheroids are becoming an additional tool for confirming the effectiveness of new therapeutic nanoformulations. Here we show the possibility of using citrate-stabilized cerium oxide nanoparticles (nanoceria, CeO2 NPs) as a nanoradiosensitizer in an experimental 3D model of tumor spheroids formed from 4T1 human breast cancer cells. It has been shown that ultra-small size (about 1-2 nm) CeO2 NPs have pH-sensitive radiocatalytic activity, increasing the generation of ROS under irradiation conditions. It has been shown that preloading of CeO2 NPs into a cellular spheroid at a micromolar concentrations does not adversely affect the rate of spheroid formation and its final size. However, such preloading has a pronounced inhibitory effect on the rate of cell migration from the spheroid after X-ray irradiation and also reduces their clonogenic activity. Thus, CeO2 NPs can be considered as a promising nanoradiosensitizer for radiotherapy of tumors.
EMG-based Human-In-The Loop Bayesian Optimization to Assist Free Leg Swinging
Authors: Echeveste Salvador , Bhounsule Pranav A.
Published: January 2025

Background/Objectives: Manual tuning of exoskeleton control parameters is tedious and often ineffective for adapting to individual users. Human-in-the-loop (HIL) optimization offers an automated approach, but existing methods typically rely on metabolic cost, which requires prolonged data collection times of at least 60 seconds. Surface electromyography (EMG) signals, as an alternative, enable faster optimization with reduced data acquisition times. This study develops a rapid EMG-based HIL Bayesian optimization framework to tune hip exoskeleton controllers for assisting free leg swinging. Methods: Eight participants are asked to perform leg swinging at two frequencies with assistance from a hip exoskeleton. EMG signals from four sensors, representing muscle activity during forward and backward swings, are dynamically processed into cost functions. Bayesian optimization with Gaussian processes tunes four controller parameters using an Expected Improvement acquisition function. Optimization outcomes are validated against no device, zero torque, and general control baselines. Results: Optimization converged within 142 ± 24 seconds, yielding muscle activity reductions of 16.1 compared to no device, 21.7% versus zero torque, and 15.1% versus general control (p < 0.001 for all). EMG-based tuning is faster than metabolic-cost-based methods and perceived as less effortful, with Borg scale reductions of up to 39.5%. Conclusions: EMG-based HIL optimization significantly enhances controller tuning speed and effectiveness, demonstrating its potential for scalable and user-specific exoskeleton applications.
AI-Driven Cybersecurity Solutions Enhancing Threat Detection in Healthcare and Airlines
Authors: Wayz Wang
Published: January 2025

The increasing sophistication and volume of cyber threats pose significant challenges to sectors such as healthcare and airlines, where data sensitivity and operational continuity are paramount. Artificial Intelligence (AI) offers transformative potential to address these challenges by enabling advanced threat detection, real-time response mechanisms, and proactive defense strategies. This abstract explores the role of AI-driven cybersecurity solutions in enhancing threat detection capabilities within these critical industries. AI techniques, such as machine learning (ML) and deep learning (DL), facilitate the identification of anomalous behaviors and patterns in complex data environments. In healthcare, these systems safeguard patient records, medical devices, and infrastructure from breaches, ensuring compliance with stringent regulatory standards like HIPAA. Similarly, in airlines, AI-driven models monitor operational systems and passenger data to detect cyber threats targeting reservation systems, flight operations, and critical avionics. By integrating AI with traditional security frameworks, these sectors can transition from reactive to predictive security postures. Key advantages include reduced response times, improved accuracy in identifying emerging threats, and the ability to adapt to evolving attack vectors. This abstract concludes by emphasizing the need for continued innovation, ethical considerations, and cross-industry collaboration to fully leverage AI’s capabilities in fortifying cybersecurity.
Integration of Global Lipidomics and Gonad Histological Analysis via Multivariate Chemometrics and Machine Learning: Identification of Potential Lipid Markers of Ovarian Development in the Blue Mussel (Mytilus edulis)
Authors: Laudicella Vincenzo Alessandro , Carboni Stefano , De Vittor Cinzia , Whitfield Philip D. , Doherty Mary K. , Hughes Adam D.
Published: January 2025

Gonadal histological analysis (GHA) is the traditional method for assessing the gonad maturation status of blue mussels (Mytilus edulis). GHA has some operational disadvantages, such as limited processing outputs, subjectivity in the assessment of transitional stages of gonadal maturation and the need for experienced and trained operators. Lipids could become important indicators of gonadal maturation as they cover many essential functions during such process in mussels.In this work, blue mussel ovaries (BMOs) ultrastructure is integrated with LC-MS lipidomics fingerprinting to identify markers for ovarian maturation through the application of supervised chemometrics (volcano analysis, orthogonal partial least squares discriminant analysis – OPLS-DA) and machine learning (RandomForest). BMOs are classified here as ripe or non-ripe by means of GHA and gamete volume fraction (GVF). Receiving operating characteristics (ROC) curves were used to classify the results of the different statistics according to their area under the curve (AUC), and the functional role of important lipids was assessed by lipid ontology enrichment (LiOn) analysis.This approach allowed the selection of a panel of 35 lipid molecules (AUC>0.8) that can distinguish not ripe from ripe BMOs. The ceramide phosphoethanolamine (CerPE) 40:2 was the molecule with the highest classification ability (AUC 0.905), whereas glycerophosphoserines (PS) was the class mostly changing between the two groups. LiOn analysis indicated significant differences in the functional roles of these lipids, highlighting enrichment terms associated with membrane lipids, lysosomes and highly unsaturated triglycerides (TG) in not ripe ovaries, whereas terms associated with storage lipids and low saturated TG characterised ripe BMOs.
Developing Conflict Resolution Skills and Team Building Competence A Framework for School Leadership Effectiveness
Authors: Fajinmi John , Oloyede Joseph
Published: January 2025

Effective school leadership is pivotal in fostering a harmonious and productive educational environment. This study presents a comprehensive framework for developing conflict resolution skills and team-building competence among school leaders. Recognizing the multifaceted challenges faced by educational institutions, the proposed framework integrates theoretical insights with practical strategies to enhance leadership effectiveness. The study emphasizes the importance of proactive conflict management, emotional intelligence, and collaborative practices in mitigating disputes and promoting cohesive team dynamics. Drawing from a mixed-methods approach, the research highlights key competencies, including active listening, empathy, and strategic decision-making, as critical to addressing interpersonal and organizational conflicts. Additionally, the framework advocates for professional development programs tailored to equip school leaders with tools to foster trust, communication, and mutual respect within their teams. By implementing this framework, schools can create an inclusive culture that supports staff and student well-being, enhances productivity, and aligns with broader institutional goals. The findings underscore the transformative potential of empowered leadership in shaping resilient and thriving educational communities.
Generative-Based Community Service Innovation for Wellness Tourism Sustainable Development
Authors: Wang Li , Qin Yuanhao , Peng Xiaobing , Damdinsuren Myagmarsuren , Gonchigsumlaa Ganzorig
Published: January 2025

As wellness tourism destinations face increasing competitive pressures and environmental challenges, there is a heightened emphasis on implementing innovative service strategies that promote community engagement and sustainable development. The study proposes an in-tegrated model grounded in generativity and service innovation theory to investigate the factors influencing resident engagement in service innovation performance (SIP). Four hundred-eight valid responses are using a snowball sampling technique. This research employed structural equation modelling (SEM) to assess the impact of individual variables, complemented by fuzzy-set qualitative comparative analysis (fsQCA) to explore the synergistic effects of multiple variables. The SEM results indicate that place attachment, generativity, and digital technology significantly enhance resident engagement in SIP, whereas knowledge management does not exhibit a statistically significant effect. Furthermore, fsQCA identifies three configurations linked to high-quality SIP and two configurations associated with low-quality SIP. The complementary insights gained from SEM and fsQCA enhance theoretical frameworks and provide practical implications for stakeholders in the tourism sector.
Effect of 4 Weeks of High-Intensity Interval Training (HIIT) on VO2max, Anaerobic Power, and Specific Performance in Cyclists with Cerebral Palsy
Authors: Lasso-Quilindo Cristian Alexis , Chalapud-Narvaez Luz Marina , Garcia-Chaves Diego Camilo , Cristi-Montero Carlos , Yañez-Sepulveda Rodrigo Alejandro
Published: January 2025

Background/Objectives: This study aimed to analyze the effects of four weeks of HIIT on VO2max, anaerobic power, and athletic performance in cyclists with cerebral palsy. Materials and Methods: Three male athletes (Class: T1: n=2; age: 21.5±3.53 years; height: 158.5±3.53 cm; body mass: 53.1±2.40 kg; competitive experience: 4.5±3.53 years and Class: T2; n=1; age: 56 years; height: 171 cm; body mass: 72.4 kg; competitive experience: 4.5±3.53 years) with cerebral palsy from the Paracycling Departmental Commission of Cauca (Colombia) participated in the study. VO2max was determined using an incremental test on a cycling ergometer. Anaerobic power was measured using the Wingate test. Specific performance was evaluated with an individual time trial of 14 km for class T1 and 20 km for class T2. HIIT training was performed on a cycling ergometer over four weeks (two sessions per week). Training intensity was based on Watts (W) measured in the incremental test for long HIIT and the Wingate test for short HIIT. Training load was monitored through heart rate (HR) responses and subjective perceived exertion (RPE) at the end of the training. Results: After the HIIT training period, favorable changes were observed in VO2max (2358 vs. 2497 ml·kg⁻¹·min⁻¹, p=0.180, d=0.03, trivial), in anaerobic power during the Wingate test (342.7 vs. 399.7 W, p=0.109, d=0.52, moderate), and a reduction in individual time trial durations for 14 km (2489 vs. 2338 sec) and 20 km (2775 vs. 2674 sec) for classes T1 and T2, respectively. Conclusions: This study reported that HIIT positively influenced VO2max, moderate improvements in anaerobic power output, and athletic performance in T1-T2 class athletes over a short period of four weeks.
Increased Immunoglobulin and Proteoglycan Synthesis in Resected Hippocampal Tissue Predicts Postsurgical Seizure Recurrence in Human Temporal Lobe Epilepsy
Authors: Hammer Michael , Weinand Martin
Published: January 2025

Background/Objectives: For patients with medically refractory temporal lobe epilepsy (TLE), surgery is an effective strategy. However, post-operative seizure-recurrence occurs in 20-30% of patients and it remains challenging to predict outcome solely based on clinical variables. Here we ask to what extent differences in gene expression in epileptic tissue can predict outcome after resective epilepsy surgery. Methods: We perform RNAseq on hippocampal tissue resected from 8 patients who underwent anterior temporal lobectomy with amygalohippocampectomy (ATL/AH), half of whom became seizure free (SF) or non-seizure free (NSF). Results: Bioinformatic analyses revealed 1548 differentially ex-pressed genes and statistical enrichment analyses identified a distinct set of pathways in NSF and SF cohorts that were associated with neuroinflammation, neurotransmission, synaptic plasticity, and extracellular matrix (ECM) reorganization. Resected tissue ex-hibiting strong proinflammatory processes are associated with better post-surgery seizure outcomes than patients exhibiting cellular signaling processes related to ECM reorgan-ization, autoantibody production and neural circuit formation. Conclusions: The results suggest that postoperative targeting of both inhibitory aspects of the ECM remodeling and the autoimmune/inflammatory components may be helpful in promoting repair and preventing the recurrence of seizures.
Monte Carlo Simulations for Resolving Veridical Paradoxes in Forecast Risk Management and Corporate Treasury Applications
Authors: Pavlik Martin , Michalski Grzegorz
Published: January 2025

Managing forecast risk is key during the treasury management process. The study aims to apply Monte Carlo simulation to solve three classical probabilistic paradoxes and their implementation in corporate treasury management. The article presents the Monte Carlo simulation as an advanced risk management tool in treasury management processes. This method allows a comprehensive risk analysis of financial forecasts, making it possible to assess potential errors in cash flow forecasts and predict the value of corporate treasury growth under various future scenarios. In investment decision-making, Monte Carlo simulation supports evaluating the effectiveness of financial projects by calculating the expected net value and identifying the risks of related investments, allowing for more informed decisions on project implementation. The method finds application in reducing cash flow volatility, which contributes to lowering the cost of capital and increasing the company's value. The simulation also enables more accurate liquidity planning, including forecasting cash availability and determining appropriate financial reserves based on probability distributions. Monte Carlo also supports the management of credit and interest rate risk, allowing simulation of the effects of various economic scenarios on a company's financial obligations. In the context of strategic planning, the method is an extension of decision tree analysis, where subsequent decisions are made based on the results of earlier ones. Creating probabilistic models based on Monte Carlo simulations makes it possible to consider random variables and their impact on key treasury management indicators, such as free cash flow (FCF). Compared to traditional methods, Monte Carlo simulation offers a more detailed and precise approach to risk analysis and decision-making, providing companies with vital information for financial management under uncertainty. The article emphasizes that using Monte Carlo simulation in treasury management not only enhances the effectiveness of risk management but also supports the long-term growth of enterprise value. The entire treasury management process is moving into the future and is based on the prediction of future free cash flows discounted at the cost of capital. We used both numerical method and analytical methods to solve veridical-type paradoxes. We used Monte Carlo simulation as a numerical method. The following analytical methods were used: conditional probability, Bayes' rule, and Bayes' rule with multiple conditions. We solved all the veridical type paradoxes and discovered why such a considerable discussion of Monty Hall's problem appeared in the 90s. We varied Monty Hall problems, using different door counts and prize counts.
"Winter is Coming": Analysis of Crowdfunding's Future as FinTech Struggles
Authors: Al Shebli Shadi , Aysan Ahmet Faruk , Nagayev Ruslan
Published: January 2025

This study examines the transformative potential of FinTech, particularly crowdfunding, in the context of traditional financial systems, even amid the current FinTech market downturn ('Winter'). We address a fundamental question: Does crowdfunding represent a viable alternative to conventional finance, or does it merely function as an extension of existing financial infrastructure? To investigate this relationship empirically, we developed a proprietary crowdfunding index and employed Diebold and Yilmaz (2012; 2014)'s Interconnectedness Index methodology to compare the spillover effects of crowdfunding and traditional financial systems with common economic factors such as interest rates, USD index, economic uncertainty, cryptocurrency (Bitcoin,) as well as commodities (gold and oil). Despite crowdfunding's remarkable growth trajectory over the past decade, our empirical evidence indicates that it has not yet emerged as a viable substitute for conventional financial mechanisms. These findings carry substantial implications for regulatory frameworks, industry stakeholders, and academic discourse, contributing to the broader understanding of FinTech's disruptive capacity within the financial ecosystem.
Comparative Hypothalamic Proteomic Analysis Between Diet Induced Obesity and Diet Induced Obesity Resistance Rats
Authors: Xi Pengjiao , Ma Shuhui , Tian Derun , Shen Yanna
Published: January 2025

Obesity results from a combination of genetic and environmental factors. However, in diet-induced obesity, individuals with the same genetic background exhibit different sensitivity to obesity, termed diet-induced obesity (DIO) and diet-induced obesity resistance (DR). The hypothalamus is crucial in regulating energy homeostasis. This study conducted a comparative hypothalamic proteomic analysis in DIO and DR rats to identify differentially expressed proteins (DEPs) associated with changes in body weight. In the hypothalamus of DR rats compared to DIO rats, 31 proteins (FDR<1%) were identified as DEPs (14 upregulated and 17 downregulated). Gene ontology analysis of DEPs revealed an enrichment in ion-binding proteins (such as Fe2+, Zn2+, Ca2+, and Se) and those involved in neuronal activity and function, which may positively influence neuronal development and cognition in DR rats. The DEPs were further analyzed using the KEGG pathway, which principally involved in starch and sucrose metabolism, antigen processing and presentation, and inflammatory mediator regulation of TRP channels. The changes of TRPV4, CaMKV, RSBN1, and BASP1, as detected by western blotting, were consistent with those obtained from TMT proteomic. In conclusion, this study provides a comprehensive and functional analysis of the hypothalamic proteome in DIO and DR rats, offering novel insights into important proteins that may be targets for the prevention and treatment of obesity.
Qualitative Research Ethics and AI Revolution: Are Saudi Linguistics and TESOL Researchers Aware of Legible Boundaries?
Authors: Oraif Iman , Elyas Tariq
Published: January 2025

Artificial intelligence (AI) is a recent technological innovation that has impacted many aspects of contemporary life, particularly catering to the needs of a fast-paced society. This study examined the use of AI in qualitative research, specifically in the field of TESOL and Applied Linguistics. This consists of examining the extent to which AI may be used at each stage and the ethics of doing so. Academic research involves multiple processes, including data collection, analysis, and writing. Typical of Linguistics research, a large dataset was collected in this study, which was then analysed to generate results in response to the following research question: What are the ethical issues related to implementing AI in qualitative research from the perspectives of Applied Linguistics and TESOL researchers? By conducting surveys with a random sample of linguists of different rankings at two major universities in Saudi Arabia, it was revealed that they varied in their perceptions of using AI in research, although they all supported its use in transcribing data. Nevertheless, the entire sample believed that an acceptable level of AI use still needs to be determined in quantitative and qualitative linguistics-related research.
Hierarchical Cross-lingual Representation Learning for Diverse Video Contexts
Authors: Castillo Ximena , Hsu Lobry , Flynn Archer
Published: January 2025

This study investigates advanced self-supervised audio-visual models designed to learn from multilingual instructional videos. While prior research demonstrated the capability of these models to associate spoken language and auditory cues with visual content when trained on extensive English-language video datasets, their application has been largely restricted to English. To address this limitation, we introduce a novel hierarchical framework, termed Cross-Lingual Audio-Visual Learning Framework (CLAVLearn), which sequentially leverages pre-trained English models for adaptation to other languages such as Japanese and Hindi. Through this approach, we observe a tenfold enhancement in video-to-audio and audio-to-video retrieval accuracy when applied to Japanese instructional videos compared to language-specific training alone. Furthermore, we extend the framework's utility to multilingual spoken captions for images, achieving state-of-the-art results across Japanese and Hindi datasets. These findings underscore the potential of leveraging pre-trained English audio-visual models to drive multilingual innovation. Comprehensive experimental results validate our approach, providing insights into the scalability of self-supervised multilingual audio-visual learning.
Riboflavin-Functionalized Cerium Fluoride Nanoparticles Induced Mitochondrial Dysfunction in Melanoma Cells Under UV Irradiation
Authors: Chukavin Nikita , Andreeva Uliana , Popov Anton
Published: January 2025

One of the current approaches to improve the effectiveness of photodynamic therapy (PDT) is the development of advanced photosensitizers, including those based on nanoparticles. In this research, we have demonstrated for the first time the possibility of using the cerium fluoride nanoparticles, functionalized with riboflavin (Rb-CeF3 NPs), as a nanophotosensitizer for PDT. The binding of riboflavin to CeF3 NPs results in the stabilization of these nanoparticles and does not lead to the formation of an amorphous structure. At the same time, the Rb-CeF3 NPs exhibit a pronounced absorption of light at a wavelength of 450 nm, similar to pure riboflavin. The Rb-CeF3 NPs show remarkable cytotoxicity to B16/F10 mouse melanoma cells through a mitochondria-dependent mechanism. The light irradiation at a wavelength of 450 nm notably reduces both the cell viability of B16/F10 cells and their mitochondrial membrane potential. The Rb-CeF3 NPs significantly improve this effect, thereby demonstrating a pronounced photosensitizing activity of these nanoparticles. However, there is no significant difference in the effect of riboflavin and Rb-CeF3 NPs under light irradiation. Therefore, we propose, that CeF3 NPs are mainly a cargo for riboflavin, which can stabilize and deliver it to tumor cells for the purposes of PDT. Various modifications of the Rb-CeF3 NPs synthesis technique, changes in the ratio of components, selection of different light irradiation conditions may enhance the photosensitizing properties of this nanomaterial.
Research on Maintenance and Safety Resilience Measurement Evaluation of Expressway System Based on WFA-CRITIC-IAHP-DBO-ELM
Authors: Zhao Sanglin , Huang Xinyi , Xie Rong , Long Xinyi , Tong Jiaang
Published: January 2025

In order to improve the ability of Expressway to deal with sudden traffic accidents, increase the redundancy of accident operation and maintenance, and then improve the operation and maintenance toughness of Expressway sections. In this paper, the safety toughness theory is introduced into the safety management of the operation and maintenance site of the high-speed section, and combined with the characteristics of the highway section In this paper, the safety toughness theory is introduced into the safety management of the operation and maintenance site of the high-speed section, and combined with the characteristics of the high-speed section , based on the five characteristics of the toughness theory, the main factors of the safety toughness of the high-speed operation and maintenance are identified by using the word frequency analysis (WFA), and the nonlinear mapping relationship between the system classification and the characteristics of the toughness is considered to be the most important factor. characteristics of the toughness is considered to build the safety toughness evaluation system of the operation and maintenance toughness of the high-speed operation and maintenance are identified by using the word frequency analysis (WFA), and the nonlinear mapping relationship between the system classification and the highway; The interval analytic hierarchy process critical (iahp-critical) method and the minimum information identification principle are used to weight the subjective and objective weights of the operation and maintenance safety toughness index, which solves the fuzziness problem of the traditional interval analytic hierarchy process in traditional interval analytic hierarchy process in calculating the weights; The improved dung beetle algorithm extreme learning machine (dbo-elm) The improved dung beetle algorithm extreme learning machine (dbo-elm) comprehensive evaluation method is used to establish the evaluation model of highway operation and maintenance toughness, operation and maintenance safety toughness; The WFA-CRITICAL-IAHP-DBO-ELM evaluation model is applied to a section of Chang Zhang expressway.