bluuebunny/crossref_metadata_2025 huggingface dataset:
The Global Cosmetic Industry: Regulatory Challenges and Innovations for Ensuring Safety and Compliance
Authors: Monika . , . Pragi , Kumar Varun , . Jyoti , Sarswa Anish , . Shrikant , Malik Gaurav , Kumari Shabnam
Published: February 2025

The cosmetics industry is a dynamic, ever-expanding worldwide enterprise. The need
for premium goods has led to the exponential rise of the beauty and cosmetics business in recent
years. Governments worldwide are enforcing rules to ensure the safety and effectiveness of cosmetic
products in response to the rapidly evolving sector. The global cosmetics industry is experiencing
a surge in growth, driven by a growing emphasis on wellness and self-care, despite a
minor setback during the COVID-19 pandemic. Global regulation of cosmetic products ensures
efficacy and safety, but differing policies across nations can impact industry competitiveness and
profitability. The global industry faces challenges due to differing regulatory frameworks across
markets, which are not harmonized, restricting innovation and market growth. These differences
also affect international trade and hinder the role of regulatory authorities. The European Union
(EU's) cosmetic regulatory framework provided by Regulation (EC) No. 1223/2009, ensures uniformity
across member states and adapts to technical progress. This Regulation, which took the
place of the earlier, 1976- adopted Directive 76/768/EC, was an attempt to bring regulations in
all EU member states into compliance while also keeping up with much-needed technological
advancements. Globally regulatory agencies have their own regulations to assure the safety of
cosmetics. The EU and the United States of America (USA) account for the majority of the cosmetic
market. The regulations in these regions serve as a model for the developing globe. The
article emphasizes the need for harmonization in cosmetic rules across countries, focusing on
safety, stability, and labeling.
A clinical experience in the management of Eka Kushta - A Case Study
Authors: Sneha K  , Prashanth A S
Published: February 2025

Kushta is the broad spectrum word used in Ayurveda to describe all the skin diseases under one heading, which is mainly classified into Mahakushta and Kshudra Kushta. Ekakushta is one among the Kshudra Kushta. It is of prime importance due to its chronicity and severity which involves larger extent of the body. In contemporary science, Ekakushta can be compared to Plaque Psoariasis, In the present case study, we have reported 39 years old male patient came with the complaints of severe dryness of the skin along with white scaly powdery discharged skin lesions all over the body associated with severe itching. The treatment protocol adopted here are Antah Parimarjana Chikitsa (Shodhana) and Bahir Parimarjana Chikitsa (Sarvanga Pariseka and Jaloukavacharana) and Shamanoushadhis. After treatment, patient got satisfactory results and complaints are reduced by 60-70%.
Preserving the Mandi Safar Tradition to Foster Social Caring: A Case Study in South Halmahera
Authors:   Khairun University, Indonesia, Rahmansah Esti , Noe Wahyudin ,   Khairun University, Indonesia, Sawaludin Sawaludin ,   Mataram University, Indonesia, Ade Riyanto Andra ,   Mataram University, Indonesia, Hasyim Rustam ,   Khairun University, Indonesia
Published: February 2025

The Mandi Safar tradition has been an integral part of the cultural landscape in Baru village, located in the Obi subdistrict of South Halmahera regency. This ritual symbolizes self-purification through immersion in the river, representing a quest for divine protection and the desire to be spared from calamities and misfortunes. Nevertheless, some community members perceive this practice as a bid'ah, or innovation, that contradicts Islamic principles. Despite these differing views, the researcher identifies that the Mandi Safar tradition is valued by many as it significantly strengthens social bonds among villagers.This study aims to provide a comprehensive description of the efforts undertaken by the Baru village community to preserve the Mandi Safar tradition as a means to cultivate social care and solidarity among its citizens. Employing a qualitative research design with a case study approach, the findings reveal that the Mandi Safar tradition is executed in two key stages: (a) the Preparation stage, which entails gathering necessary materials such as paper, pencils, banana leaves, coconut leaves, and food; and (b) the Execution stage, which encompasses the journey to the ritual site, recitation of prayers, communal meals, and the Mandi Safar ritual itself.The Mandi Safar tradition embodies essential social values, including togetherness, affection, and harmony. These values play a crucial role in reinforcing kinship ties within the community and fostering a spirit of social caring among villagers. This study highlights the enduring significance of the Mandi Safar tradition in enhancing communal identity and social cohesion within the Baru village community.
Traditional Values Versus Inclusivity: A Semiotic Analysis of LGBT Narratives in Islamic Media Portals in Indonesia, Malaysia and America
Authors:   Universitas Brawijaya, Sitti Khadijah Nur , Sujoko Anang ,   Universitas Brawijaya, Hariana Oktaviani Fitri ,   Universitas Brawijaya
Published: February 2025

Media serves as a powerful tool in shaping public opinion and perspectives, particularly through Islamic organization-based media portals that play a crucial role in influencing perceptions of the LGBT community. This study examines the construction of LGBT narratives in the media portals NU Online, Ummah Today, and CAIR, utilizing the social semiotic method developed by M.A.K. Halliday and drawing on the theories of Nick Couldry and Andreas Hepp to explain the role of media construction. A total of 48 units of analysis were conducted, comprising 29 publications from NU Online in 2016, 9 publications from Ummah Today in 2022, and 10 publications from CAIR in 2016. The findings indicate that Ummah Today and NU Online tend to reinforce traditional values by rejecting issues such as LGBT, whereas CAIR adopts a more inclusive approach, especially in times of crisis, aiming to dispel Islamophobia and promote human rights for minority groups. This research reveals how media practices shape identities and social meanings across various cultural contexts and highlights significant social, cultural, and political implications of language in maintaining or challenging existing power structures and social norms.
The Importance Of Humanism Education For Primary School Children In The 21st Century Globalization Era
Authors:   Universitas Negeri Yogyakarta, Firmansyah Akmal , Yudha Muhamad ,   Universitas Negeri Yogyakarta, Suyato Suyato ,   Universitas Negeri Yogyakarta, Endang Edi Sukarti Sri ,   Universitas Negeri Yogyakarta
Published: February 2025

This article discusses the importance of humanism education for primary school children in the 21st century era of globalization. In the context of globalization, children face complex challenges that require adaptive social, emotional and cultural skills. Humanism education offers an approach that can build character, empathy and tolerance, and increase multicultural awareness. The purpose of this study was to explore the implementation strategies, challenges, and solutions in implementing humanism education in elementary schools. The research method used was a qualitative approach with a case study in an elementary school that implemented a humanism approach.Data were obtained through participatory observation, in-depth interviews with teachers and students, and analysis of curriculum and education policy documents. The sample selection was purposive, focusing on schools with good humanism practices. The results showed that the integration of humanism values in the curriculum, teacher training, and community support were key to successful implementation. The main challenges included a curriculum focused on standardized tests, limited resources and resistance from various parties. However, support from the government, ongoing teacher training and community involvement can overcome these barriers. In conclusion, humanism education is important to prepare children for the dynamics of globalization, build strong character, and create an inclusive and supportive learning environment.
Effectiveness of Oral Nutrition Supplements in Older Patients: Evidence Versus Challenges
Authors: Görünmezoğlu Hafize Özge , Ongan Dilek
Published: February 2025

The increasing population of older adults imposes a significant burden and expenditures on healthcare services. Malnutrition is frequently associated with chronic diseases in older patients. Oral nutritional supplements (ONS) are crucial in managing malnutrition in older adults who need nutritional support. However, challenges related to low adherence may limit the effectiveness of ONS. This narrative review focuses on the difficulties associated with ONS use and the evidence regarding its efficacy in older patients. Studies have reported that ONS can be an effective strategy for nutritional interventions to prevent weight loss by supporting an increase in total food consumption. In addition, ONS have shown positive effects on walking speed and muscle strength in older adults. While the evidence for the positive impact of ONS on enhanced appetite, improved energy intake, and body weight in older patients at risk of malnutrition is well documented, concerns about inadequate consumption, taste and texture dissatisfaction, and low adherence have also been noted. Poor adherence to nutritional therapy may place older patients at risk of medical complications, rehospitalizations, and interruptions in nutritional care. Future qualitative and mixed-method research focused on improving the reporting and follow-up of ONS adherence and understanding the factors influencing acceptance in older patients will strengthen the existing literature and provide valuable guidance for healthcare teams in increasing adherence.
No punibilidad en delitos cometidos por adolescentes en medio del conflicto armado colombiano
Authors: Torres Vásquez Henry
Published: February 2025

Introducción: El artículo examina la no punibilidad de los delitos cometidos por menores de 18 y mayores de 14 años en Colombia. Objetivo: clarificar por qué la no punición de tales conductas forma parte del derecho aplicable a los adolescentes. Además, se exponela justificación detrás de la aplicación de la justicia restaurativa en el ámbito penal juvenil, así como el uso de la justicia premial y negociada en este contexto. Metodología: La investigación se llevó a cabo mediante una metodología de análisis-síntesis en el marcode un estudio socio-jurídico cualitativo y descriptivo. El texto también describe cómo se implementa la justicia transicional en Colombia, especialmente la justicia restaurativa, para abordar los problemas jurídico-penales derivados del conflicto armado no internacional. Resultados: Para la obtención de los resultados, se recurrió a fuentes secundarias queabordan las sanciones aplicadas a los adolescentes involucrados en la ley penal por actos cometidos durante el conflicto armado colombiano. Conclusiones: Finalmente, se analizan las razones que sustentan la decisión de no imponer sanciones a quienes, siendo menores de edad, cometieron delitos en este contexto.
Construction of an educational metaverse shared learning platform
Authors: Wang Cheng-Hung
Published: February 2025

The metaverse is a concept that is gaining traction and it has potential to enhance scientific research. A team of researchers in Taiwan is interested in the application of the metaverse in education; namely, whether the use of technologies within the metaverse can help create a more
equitable education. This would benefit students and scientists alike. The team of researchers is led by Associate Professor Cheng-Hung Wang, Digital Content Design Research Centre, National University of Kaohsiung. Wang is currently harnessing his passion for the content design of VR from
an educational perspective and making educational resources more equitable to develop an educational metaverse platform called EduVerse. A shortage of teacher resources is widening the digital gap between urban and rural schools. Wang wants to facilitate cross-school learning without physical
movement through the use of an educational metaverse. This would allow teachers in urban schools to simultaneously teach students in rural schools through virtual avatars. By making better use of metaverse and IoT technologies, educational quality and efficiency can be enhanced and more equitable
education established, with every student having the opportunity to obtain high-quality educational resources. The use of the metaverse is also expected to improve the immersion and realism of VR as being able to see a teacher’s avatar in action enhances the realism of
the interaction.
Development of social robots to become “We” with humans
Authors: Hayashi Kotaro
Published: February 2025

Traditional robot-human interactions involve robots following human instructions, ie. ‘I-mode’. But there is an alternative mode, called ‘we-mode’ in which robots and humans collaborate. In order to collaborate with humans, working towards a shared goal, a robot
needs to be socially aware, requiring the ability to process and respond to human cues. Assistant Professor Kotaro Hayashi, Department of Computer Science and Engineering, Toyohashi University of Technology, Aichi, Japan, is conducting research that seeks to advance progress towards the goal
of humans and robots entering into we-mode. There are potential benefits for society, including applications in education and welfare. The focus of Hayashi’s work is on social cues and social contingency. In one project he investigated the dynamics of human-robot interaction through
joint tasks via a human-eye robot he designed. He explored how participant’s response times and fixation durations changed when working with robots versus humans and confirmed the ability of robots to effectively participate in shared tasks. In another study he looked at how generative
artificial intelligence (AI) impacts English language learning by using ChatGPT to develop a robot for English conversation practice. The goal was to reduce social anxiety experienced by Japanese learners of English. The research showed positive engagement, reduced anxiety and an improvement
in conversation skill, which suggested the potential for AI tools to enhance language education.
The European Commission as an engine for international cooperation
Authors: Annette Lucy
Published: February 2025

Collaboration is crucial to pool the expertise and resources needed to devise solutions to tackle pressing global challenges. Unprecedented global challenges cannot be solved without world-leading research and the funding opportunities and initiatives provided by the European Commission
(EC) are built on this premise. A document called the EC’s Global Approach to Research and Innovation 2021, sets out Europe’s strategy for international cooperation in a changing world. A key part of this is open and balanced collaborations. It highlights the important role of
innovators in ensuring the wellbeing of citizens for generations to come and emphasises the need for stronger than ever cross-border collaboration to produce innovative solutions that align with the sustainable development goals and promote Europe’s resilience and competitiveness. There
is an emphasis on partnerships with countries that share the same values as the EU. By developing frameworks for cooperation with non-EU countries, the goal is to push forward global efforts to solve global challenges. Strategic objectives are the promotion of open and inclusive collaboration,
strengthening global partnerships and tackling global challenges through the development of solutions that will benefit everyone. There is emphasis on balancing openness with the need to protect data security, ensuring fair access to funding opportunities, strengthening frameworks for collaboration,
supporting research and innovation in partner countries and supporting Horizon Europe initiatives. Horizon Europe is key to facilitating global collaboration in research and innovation. The Global Gateway is another key initiative in the EC’s strategy to enhance collaboration. Von der
Leyen called it a ‘roadmap for major investment in infrastructure development around the world’.
Development of a realistic simulation program for the treatment of extremely low birth weight infants
Authors: Iijima Shigeo
Published: February 2025

Premature babies are extremely vulnerable. The care they receive after birth is critical to their survival. Professor Shigeo Iijima, Hamamatsu University School of Medicine, Japan, is a specialist neonatologist devoted to improving the care that premature babies receive. As short‐
and long term prognosis are affected by the resuscitation procedures at birth and the management of sudden deterioration in extremely low birth weight (ELBW) infants, accurate situational assessment, rapid decision-making and prompt and reliable skills for interventions during birth and in
emergencies are crucial. Iijima believes that outcomes can be improved through the development of a robust standard neonatal resuscitation program tailored to ELBW infants. There is no standardised national training programme for ELBW neonates in Japan and the standard neonatal resuscitation
programme currently in place is designed for term infants. Iijima wishes to develop a programme that simulates real-life scenarios of resuscitation at birth to train young doctors responsible for ELBW babies. This will include scenario-based training for emergencies that may occur during the
NICU stays of ELBW infants. The goal is to provide invaluable tools to develop the skills needed to assess each situation and determine and carry out a suitable management strategy. The scenario-based training utilises real equipment such as cardiorespiratory monitors and arterial oxygen saturation
(SpO2) monitors and clinically realistic training scenarios.
From Endemic Diseases to Pandemics at High Latitudes in Modern Eurasia: Toward a New “Imperial Medicine”
Authors: Miyazaki Chiho
Published: February 2025

The exploration of how societies throughout history have responded to disease and the influence of humans on the occurrence of disease can unearth important insights on humanity, culture and history. The study of the history of humans and disease can paint an invaluable picture of opinions
about disease, limitations and how to prepare for future challenges. Associate Professor of Cultural Policy and Management Chiho Miyazaki is a historical researcher based at Shizuoka University of Art and Culture who is conducting research on the history of medicine, endemic diseases and cultural
interactions, with a focus on Eurasia. Through her historical research, she wants to unravel the relationship between diseases and humans and shed light on diseases and the nature of humans. One component of Miyazaki’s research is better understanding the modernity of medicine and disease
response in the late 19th century as, during this time, capitalisation and industrialisation advanced apace and people moved across regions, encountering new diseases. This has an impact on the widespread fear of disease, as well as medical progress. Miyazaki is working to clarify disease
response, epidemiological thinking and the development of medical and sanitary methods in the context of imperial colonisation and governance. She is conducting empirical research on individual cases in different regions of Eurasia and examining and comparing these cases.
Oktató és tanítványa : Új, innovatív zeneelmélet-kurzusok a kreativitás, az improvizáció és az alkotás jegyében az ELTE Művészetközvetítő és Zenei Intézetében
Authors: Horváth Ágnes , Nagy Márton Ádám
Published: February 2025

Az Eötvös Loránd Tudományegyetem Művészetközvetítő és Zenei Intézetének zeneelmélet oktatása néhány éve megújuláson és innovatív szemléletváltáson ment keresztül. Az új oktatási forma túlmutat a hagyományos módszereken, és új, élményközpontú kurzusokra épül, amelyek a kreativitást, az improvizációt és az alkotói folyamatokat helyezik előtérbe. A módszer megszületése és első alkalmazása Horváth Ágnes oktató nevéhez fűződik. Jelen tanulmány a módszer rövid bemutatása Horváth Ágnes tehetséges tanítványa, Nagy Márton Ádám 2023−24-es tanévben tartott kurzusának koncepcióját, felépítését és eredményeit mutatja be. Nagy Márton Ádám egyetemi komolyzenei tanulmányai mellett a könnyűzene világában is tevékenykedik zeneszerzőként és zenészként. Kurzusa tervezésekor saját tapasztalataiból indult ki. Célja egy olyan támogató környezet megteremtése volt, ahol bátran mernek kísérletezni a hallgatók. A tudás kreatív és gyakorlatias alkalmazása általi tanulás keretein beül pedig megtapasztalhatják az alkotás örömét is.
Effectiveness, Usability and Satisfaction of a Self-Administered Digital Intervention for Reducing Depression, Anxiety and Stress in a University Community in the Andean Region of Peru: A Randomized Clinical Trial (Preprint)
Authors: Yslado-Méndez Rosario , Yslado-Méndez Rosario , Escobar-Agreda Stefan , Villarreal-Zegarra David , Trejo Flores Wilfredo Manuel , Sánchez-Broncano Junior Duberli , Vilela-Estrada Ana Lucia , Olivares Cordova Jovanna Hasel , Reategui-Rivera C. Mahony , Alvarez-Yslado Claudia Rosa , Rojas-Mezarina Leonardo
Published: February 2025

BACKGROUND

Evidence on digital interventions in mental health has been increasing since the last years. However, available evidence is still heterogenous and limited regarding the use of self-administered platforms in the context of university education.

OBJECTIVE

We aimed to evaluate the efficacy of a self-administered digital mental health service in members of a public university to reduce symptoms of depression, anxiety, and perceived stress.

METHODS

A randomized controlled clinical trial was conducted. Students, teachers, and administrative staff from a public university in Peru were included. Compared to the control group (CG), the intervention group (IG) had access to a self-administered digital mental health service comprised of 6 modules with audiovisual material. Multivariate ANCOVA models and effect size indicators (Cohen's d) were used to compare the reduction of anxiety (PHQ-9), anxiety (GAD-7), and perceived stress (PSS-10) between both groups.

RESULTS

55 participants participated in the IG and 30 in the CG. Age, sex, and baseline mental health characteristics were balanced. The IG had lower values of depressive symptoms, anxiety, and stress compared to the CG, as evidenced by the multivariate models and effect measures (p<0.05). The IG reported a high level of subjective commitment but a low level of satisfaction and usability regarding the digital service received.

CONCLUSIONS

Digital service for mental health self-care is effective in reducing mental health problems in members of a public university. However, its design should be optimized to improve its usability and satisfaction.

CLINICALTRIAL

The clinical trial protocol was registered on the OSF platform (https://osf.io/m4epv/).
Key variances in clinical pathways for prolonged stay identified using machine learning and ePath real-world data: Models Development and Validation Study (Preprint)
Authors: Tou Saori , Matsumoto Koutarou , Hashinokuchi Asato , Kinoshita Fumihiko , Nohara Yasunobu , Yamashita Takanori , Wakata Yoshifumi , Takenaka Tomoyoshi , Soejima Hidehisa , Yoshizumi Tomoharu , Nakashima Naoki , Kamouchi Masahiro
Published: February 2025

BACKGROUND

Prolonged hospital stays can lead to inefficiencies in healthcare delivery and unnecessary consumption of medical resources.

OBJECTIVE

This study aimed to identify key clinical variances associated with prolonged length of stay (PLOS) in clinical pathways using a machine learning model trained on real-world data from the ePath system.

METHODS

We analyzed data from 480 patients with lung cancer (mean age 68.3 ± 11.2 years, 51% men) who underwent video-assisted thoracoscopic surgery (VATS) at a university hospital between 2019 and 2023. PLOS was defined as a hospital stay exceeding nine days post-VATS. The variables collected between admission and postoperative day 4 were examined, and those significantly associated with PLOS in the univariate analysis were selected as predictors. Predictive models were developed using sparse linear regression methods (Lasso, ridge, elastic net) and decision-tree ensembles (random forest, XGBoost). The data were divided into derivation (earlier study period) and testing (later period) cohorts for temporal validation. The model performance was assessed using the area under the receiver operating characteristic curve (AUROC), Brier score, and calibration plots. Counterfactual analysis was used to identify key clinical factors influencing PLOS.

RESULTS

A three-dimensional heatmap illustrated the temporal relationships between clinical factors and PLOS based on patient demographics, comorbidities, functional status, surgical details, care processes, medications, and variances recorded on postoperative day 4. The ridge regression model achieved the best performance, with AUROC and Brier scores of 0.84 and 0.16, respectively, in the derivation cohort and 0.82 and 0.17, respectively, in the test cohort. The six key variables that increased PLOS risk included abnormal respiratory sounds, postoperative fever, arrhythmia, impaired ambulation, complications after drain removal, and pulmonary air leaks.

CONCLUSIONS

A machine learning-based model using ePath data effectively identified critical variances in the clinical pathways associated with PLOS. This automated tool may enhance clinical decision-making and improve patient management.
Randomized controlled trial of a multiple technology-based physical activity intervention for Latina adolescents: Results from the Chicas Fuertes Randomized Controlled Trial (Preprint)
Authors: Carson Jacob Robert , Greenstadt Emily , Olivera Brittany , Dunsiger Shira , Zive Michelle , Higgins Michael , Godino Job , Marcus Bess , Meyer Dawn , Larsen Britta
Published: February 2025

BACKGROUND

Latina adolescents report low levels of moderate-vigorous physical activity (MVPA) and high lifetime risk of lifestyle-related diseases. There is a lack of MVPA interventions targeted at this demographic despite documented health disparities. Given their high rates of using mobile technology, interventions delivered through mobile devices may be effective for this population.

OBJECTIVE

The current paper examines efficacy of the Chicas Fuertes intervention in increasing MVPA across six months in Latina adolescents.

METHODS

Participants were Latina adolescents (ages 13-18) in San Diego County who reported being underactive (<150 minutes/week of MVPA). All participants received a wearable fitness tracker (Fitbit Inspire HR); half were randomly assigned to also receive the multimedia intervention. Intervention components included a personally tailored website, personalized texting based on Fitbit data, and social media. The primary outcome was change in minutes of weekly MVPA from baseline to six months (6m), measured by ActiGraph accelerometers and the 7-Day Physical Activity Recall Interview. Changes in daily steps using Fitbit devices were also examined to test intervention efficacy.

RESULTS

Participants (N=160) were 15.3 years old on average, and mostly second generation in the U.S. For ActiGraph-measured MVPA, participants in the Intervention group (N=83) increased from a median of 0 min/week at baseline (IQR 26) to 64 min/week at 6m (IQR 28) compared to Control participants, who showed increases from a median of 0 at baseline (IQR 24) to 41 min/week at 6m (IQR 21) (p<0.05). Self-reported MVPA increased in the Intervention group from a median of 119 min/week at baseline (IQR 122.5) to 147 min/week at 6m (IQR 85) compared to Control participants, who showed increases from a median of 120 (IQR 186.25) at baseline to 124 min/week at 6m (IQR 69) (p<0.05). Steps also increased in both groups, with the Intervention group showing significantly greater increases (p<0.05).

CONCLUSIONS

This intervention was successful in using a tailored technology-based strategy to increase MVPA in Latina adolescents and provides a promising approach for addressing a key health behavior. Given the scalable technology used, future studies should focus on broad scale dissemination to address health disparities.

CLINICALTRIAL

ClinicalTrials.gov NCT04190225 . Registered on November 20, 2019.
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE) (Preprint)
Authors: Sunghoon Kang , Kim Hyeoneui , Park Hyewon , Taira Ricky
Published: February 2025

BACKGROUND

As the importance of PGHD in healthcare and research has increased, efforts to standardize survey-based PGHD to improve its usability and interoperability have been made. Standardization efforts, such as the Patient-Reported Outcomes Measurement Information System (PROMIS) and the NIH Common Data Elements (CDE) repository, provided effective tools for managing and unifying health survey questions. However, Previous methods using ontology-mediated annotation are not only labor-intensive and difficult to scale, but also face challenges in identifying semantic redundancies in survey questions, especially across multiple languages.

OBJECTIVE

The goal of this work was to compute the semantic similarity among publicly available health survey questions in order to facilitate the standardization of survey-based PGHD.

METHODS

We compiled various health survey questions authored in both English and Korean from the NIH CDE Repository, PROMIS, Korean public health agencies, and academic publications. Questions were drawn from various health lifelog domains. A randomized question pairing scheme was used to generate a Semantic Text Similarity (STS) dataset consisting of 1758 question pairs. Similarity scores between each question pair were assigned by two human experts. The tagged dataset was then used to build four classifiers featuring: Bag-of-Words, SBERT with BERT-based embeddings, SBRET with LaBSE embeddings, and GPT-4o. The algorithms were evaluated using traditional contingency statistics.

RESULTS

Among the three algorithms, SBERT-LaBSE demonstrated the highest performance in assessing question similarity across both languages, achieving an Area Under the Receiver Operating Characteristic (ROC) and Precision-Recall Curves of over 0.99. Additionally, it proved effective in identifying cross-lingual semantic similarities.

CONCLUSIONS

This study introduces the SBERT-LaBSE algorithm for calculating semantic similarity across two languages, showing it outperforms BERT-based models, GPT-4o model and Bag of Words approach, highlighting its potential to improve semantic interoperability of survey-based PGHD across language barriers.
Clinician Perspectives of an MRI-Based 3D Volumetric Analysis Tool for NF2-Related Schwannamatosis (Preprint)
Authors: Desroches Shelby T. , Huang Alice , Ghankot Rithvik , Tommasini Steven M. , Wiznia Daniel H. , Buono Frank D.
Published: February 2025

BACKGROUND

Accurate monitoring of tumor progression is crucial for optimizing outcomes in NF2-related schwannomatosis (NF2-SWN). Standard 2D linear analysis on MRIs is less accurate than 3D volumetric analysis, but 3D volumetric analysis is time-consuming, so it is not widely utilized. To shorten the time required for 3D volumetric analysis, our lab has been developing an automated AI-driven 3D volumetric tool.

OBJECTIVE

The objective of our study was to survey and interview clinicians treating NF2-SWN to understand their views on current 2D analysis and to gather insights for our 3D volumetric analysis tool's design.

METHODS

Surveys and interviews were conducted with clinicians experienced in treating NF2. Interviews were examined for the following themes: (1) the state of tumor monitoring and 2D analysis, (2) utility of 3D visualization, (3) features for interactive 3D modeling, and (4) lack of a gold standard for 3D accuracy. A Likert scale questionnaire was used to survey clinician’s level of agreement with 25 statements related to 2D and 3D tumor analyses.

RESULTS

14 clinicians completed a survey, and 12 clinicians were interviewed. Specialties ranged across neurosurgery, neuroradiology, neurology, oncology and pediatrics. Both surveys and interviews revealed concerns around the variability and subjectivity of 2D analysis. Clinicians felt that 3D volumetric analysis addresses these concerns but expressed uncertainty about how it could be interpreted clinically. Clinicians recommended features for the tool, such as interactive 3D models, visualization of neighboring anatomic structures, and the ability to monitor growth using visual cues.

CONCLUSIONS

Clinicians were overall in favor of adoption of 3D volumetric analysis techniques for measuring analyze VS tumors but expressed concerns regarding the novelty and inexperience surrounding these techniques. However, clinicians felt that the abilities to visualize tumors with reference to critical structures, to overlay structures, to interact with 3D models, and to visualize areas of slow versus rapid growth in 3D would be valuable contributions to clinical practice. Overall, clinicians provided valuable insights for designing a 3D volumetric analysis tool for VS tumor growth. These findings may also apply to other CNS tumors, offering broader utility in tumor growth assessments.
Russia and the 2020 Presidential Election in the United States
Authors: Sandoval Careaga Daniela , Alexeyevich Kornilov Alexander
Published: February 2025

Given the outlook for the upcoming 2020 Presidential Election in the United States, where Donald Trump (Republican Party) seeks re-election, and Joe Biden holds the candidacy for the Democratic Party, questions arise regarding how this result may impact Russia in the international scenario. The aim of this analysis is to study that whether Republicans or Democrats win, for Russia the bilateral relationship with the United States -in geopolitical and security terms- will continue to be a challenge. If Trump is re-elected, US foreign policy will follow the line of defensive measures -economic and political-, as well as the retreat of geopolitical spaces and global leadership to guarantee his America First axis. If Biden is elected, Russia will not relax, because the Democrats seek to regain those lost or weakened spaces of leadership. To study this topic, this text will first analyze how Russia places itself in the 21st century, and that is related to its contemporary vision, geopolitical thinking and strategy. Second, from a neorealist perspective, the paper examines what happened in 2016 US Presidential Elections and why it has been alleged to Russian meddling. It is also necessary to go through the key concept of power and how Joseph Nye studies it from a global power shift perspective and how it is related with information technologies, and exploring how it has been related to the so-called Gerasimov Doctrine. Third, the paper continues with the geopolitical scenarios where the US and Russia have interests, agreements and disagreements, since these will help to explain the aim of this work.
Estados Unidos 2020: Lecciones para la Democracia hacia la tercera década del siglo XXI
Authors: Gallegos Olvera Jesús
Published: February 2025

Introducción
Reseña de Caravaneros, de Douglas Oviedo
Authors: VÁZQUEZ ANA LUISA CALVILLO
Published: February 2025

En estas notas biblográficas se hace una reseña del libro Caravaneros, de Douglas Oviedo, la primera obra de carácter testimonial surgida desde dentro de la caravana centroamericana que arribó a Tijuana, Baja California, en noviembre de 2018, con el objetivo de ingresar a Estados Unidos. Se destacan los aspectos más sobresalientes de la obra, sus aportaciones al campo de los estudios migratorios y la relevancia de la obra en la comprensión del fenómeno de las caravanas migrantes en el contexto contemporáneo.
Situación actual del rol del técnico en simulación en México
Authors: Olvera Cortés Hugo Erick , Ortiz Sánchez Ana Gabriela , Barona Nuñez Argimira Vianey , Hernández Gutiérrez Laura Silvia
Published: February 2025

Introduction: Simulation-based education requires trained personnel to be able to carry out the activities that are developed with this technique; emphasis has been placed on the training of the simulation educator, but little has been written regarding the role of the simulation operations technician or simulation technician, especially in Mexico there are no reports about this human resource. Objective: to describe the roles and functions of the technician in simulation in centers of Mexico and to know the training needs of simulation technicians. Material and methods: a descriptiveand cross-sectional study was carried out in three stages: design of the data collection instrument through a Google Forms document, data collection and analysis through the JASP software; Cronbach’s alpha was determined. Results: There was a sampleof 44 simulation centers, from 15 states of Mexico, 32.8% have a simulation technician; the centers that do not have a simulation technician cover these functions with the simulation educator in 65%, services within from the institution by 15%, externalservices by 10% and 9% by others.Conclusions: The simulation technician is a professional whose functions require specific competencies that influence the simulation experience that students live. It was identified that more than half of the simulation centers do not have a simulation technician, which can cause counterproductive events derived from ignorance of the operation of the technology due to lack of training or overload of functions, it is necessary to carry out more investigations of this topic.
Plain Radiographic Features of Bone Destruction Levels in Mandibular Osteomyelitis Defect Post Staphylococcus aureus Induction: In vivo Study
Authors: Parmana Anang Dwi , Muharram R. Aries , Marizal Defi , Soleh Adi Rizal , Lukiswanto Bambang Sektiari
Published: February 2025

Staphylococcus aureus is the primary causative agent of osteomyelitis. Plain radiography is the initial diagnostic tool for distinguishing osteomyelitis from other bone conditions, and assists in assessing disease progression. These benefits include low radiation exposure, improved availability, cost-effectiveness, and ease of use. This was an in vivo study involving mice. The subjects were divided into the treatment and control groups and observed on days 3, 7, 14, and 28th of the experiment. The treatment group underwent mandibular drilling and Staphylococcus aureus induction. The control group underwent mandibular drilling only. Radiographic findings of mandibular bone defects include periosteal reactions, diaphyseal widening, osteolysis, bone deformation, and sequestral formation. The statistical tests consisted of the Mann-Whitney and Friedman tests. There were significant differences in bone destruction levels in occlusal dementia between the treatment and control groups, which were found on the 3rd day of observation. The treatment group exhibited greater bone destruction (5.67 ± 3.62) compared to the control group (2.00 ± 2.49), with a z-value of -2.214 and a statistically significant p-value of 0.027. 14th showed higher bone destruction levels (5.83 ± 2.64) than the control group (4.33 ± 3.61), with a z-value of -2.660 and a highly significant p-value of 0.008. On the 28th day the trend persisted, as the treatment group displayed more bone destruction (5.50 ± 3.27) compared to the control group (3.33 ± 3.44), with a z-value of -2.034 and a significant p-value of 0.042. No significant differences in the lateral dimensions were found between the treatment and control groups. In each group, significant differences were found only in the treatment group; in the occlusal dimension, sequestrum formation (p = 0.006) was found, and in the lateral dimension, diaphyseal widening (p = 0.022), osteolysis (p = 0.017), and sequestrum formation criteria (p = 0.015) were observed. The z-value measures the magnitude and direction of the difference, whereas the p-value assists in determining if this difference is statistically significant. Subjects induced with Staphylococcus aureus showed severe bone destruction compared to those without Staphylococcus aureus induction.
Isolation and Characterization of Major Cultivable Bacteria from Novel Natural Fertilizer with Comprehensive Nutrient Analysis
Authors: Warghane Ashish , Thakkar Jigisha , Bhardwaj Gayatary , Bhatt Vaibhav , Chopade B.A.
Published: February 2025

Ancient Natural Fertilizer (Jivamrit) is a traditional liquid natural mixture that undergoes fermentation and is frequently applied to enhance the soil microbiome. It is a great source of biomass with macro and micronutrients needed by crops, as well as increasing the organic carbon in the soil. With a thorough nutritional analysis that included bacterial isolation, biochemical tests, and bacterial identification by 16S rRNA sequencing, and nutrient analysis of Jivamrit, the current study concentrated on the isolation along with characterization of the major culturable bacteria from Jivamrit prepared using Gir cow native to Gujarat, India. Jivamrit yielded a total of fifteen major isolates, which were utilized for biochemical analysis and morphological evaluation. The biochemical analysis (catalase, indole synthesis, methyl red, VP test, urease, citrate, sucrose fermentation) and plant growth-promoting assays were performed on all isolated bacteria. The chemical analysis of Jivamrit revealed that it contains large amounts of macro and micronutrients and, importantly, contains Azotobacter, Zinc solubilizing bacteria, and total potash mobilizing bacteria. Molecular characterization of bacterial isolates was performed by amplifying the 16S rRNA gene using bacterial universal primers. PCR-amplified product was sequenced and was carried out, and its analysis revealed that the majority of isolates belong to the Bacillus and Priestia genera. A phylogenetic and evolutionary analysis imparts that the majority of isolates belonged to a different Bacillus species, while JW6 and JW9 belonged to Priestia megaterium. Thus, the present study revealed that major cultivable Bacillus and Priestia bacterial genus are present in Jivamrit. A literature survey revealed that the identified species immensely contribute to increasing soil fertility, plant growth, and yield. Therefore, Jivamrit acts as an alternative to chemical manure and works as a natural fertilizer, which minimises the hazardous effects of chemical farming practices on human well-being and the surroundings.
Theory of Multimode Squeezed Light Generation in Lossy Media
Authors: Kopylov Denis A. , Meier Torsten , Sharapova Polina R.
Published: February 2025

A unified theoretical approach to describe the properties of multimode squeezed light generated in a lossy medium is presented. This approach is valid for Markovian environments and includes both a model of discrete losses based on the beamsplitter approach and a generalized continuous loss model based on the spatial Langevin equation. For an important class of Gaussian states, we derive master equations for the second-order correlation functions and illustrate their solution for both frequency-independent and frequency-dependent losses. Studying the mode structure, we demonstrate that in a lossy environment no broadband basis without quadrature correlations between the different broadband modes exists. Therefore, various techniques and strategies to introduce broadband modes can be considered. We show that the Mercer expansion and the Williamson-Euler decomposition do not provide modes in which the maximal squeezing contained in the system can be measured. In turn, we find a new broadband basis that maximizes squeezing in the lossy system and present an algorithm to construct it.
Aerobic Stress Detection in Aquatic Environments with Water Quality Data Using Hybrid Deep Learning Based ConvRec Model
Authors: Simhadri Naidu Surapu  , Kanusu Srinivasa Rao  , V. Ratnakumari Challa
Published: February 2025

Depletion of dissolved oxygen in the water is a serious threat to fish and other aquatic organisms, it causes aerobic stress disease in fish. Detection of aerobic stress is crucial to maintain better growth and spawning in the fishes. Recently many studies proposed deep learning-based water quality analysis techniques, but these techniques inadequate in handling the complex water quality data. Because water quality has both spatial and temporal characteristics, this makes most of the deep learning models inadequate. To handle such complex and multifaceted data we proposed ConvRec, a deep learning architecture that incorporates CNN (Convolution neural network) and LSTM (Long-short term network) structures. CNN component extracts feature in the spatial domain from the water quality data from different locations while LSTM captures temporal features hence the model can learn both spatial and temporal correlations between the movement of water quality parameters to classify the aerobic stress in aqua ponds. In this work we use the two dataset both are unlabelled collected using IoT (Internet of things) devices. To handle this data using ConvRec model, usus the  fine-grained annotation of data points that have the effect of empowering the model to detect relevant traits associated with oxygen stress in fish. It can be therefore ascertained that ConvRec yields high degrees of accuracy of 99.2% and 99.65%, on the “ponds” and “waterx” datasets respectively while the past models can only 98.2% and 98.1% respectively on the same datasets. These results demonstrate that ConvRec is not only promising for estimating the health of fish during oxygen deficiency but also it can take part in reducing the negative impact of low oxygen levels in the water on fish.
Algoritma Arnoldi untuk Penyelesaian Masalah Nilai Eigen Matriks Raksasa
Authors: Alim Khairul , Pratiwi Nurul , Multahadah Cut , Sormin Corry , Putra Fernando Mersa
Published: February 2025

The computation of eigenvalues for large-scale matrices is a crucial task in various scientific and engineering domains. This research focuses on the performance of numerical techniques, particularly those utilizing Hessenberg matrices, in solving eigenvalue problems. We investigate the efficacy of these methods and their implementation on modern computational platforms. Our study reveals that increasing the size of the Hessenberg matrix significantly enhances the accuracy of eigenvalue approximations. Through extensive simulations and performance evaluations, we demonstrate that larger Hessenberg matrices provide more precise eigenvalue solutions, underscoring the importance of matrix dimension in the computational process. These findings offer valuable insights for optimizing eigenvalue computations in large-scale applications.
Analisis Sistem Antrean pada Customer Service Representative (CSR) Plasa Telkom Cilacap menggunakan Model Multi Channel Single Phase
Authors: Setiawati Desti , Hartono Bryan Pudji , Ahmad Mizan
Published: February 2025

Plasa Telkom Cilacap is one of the branch offices of PT. Telekomunikasi Indonesia Tbk. (Telkom) engaged in information and communication technology (ICT) services and telecommunication networks in Indonesia. Plasa Telkom Cilacap plays a crucial role in fulfilling customer service needs. With the increasing number of customers who want to serve immediately, it is worrying that it will cause long queues, causing Customer Service Representative (CSR) services to customer needs to be not optimal. This study analyzed the queuing system at Plasa Telkom Cilacap using a queuing system analysis based on queuing performance and costs to know the optimal number of CSR needed at Plasa Telkom Cilacap. At the moment, Plasa Telkom Cilacap uses the Multi-Channel Single Phase queuing model with 3 CSRs. The data used in this study are the number of arrivals, length of service, and salary data. Based on the result, the optimal number of CSRs is 2 CSRs.