bluuebunny/crossref_metadata_2025 huggingface dataset:
Is the Injectable Platelet-rich Fibrin (i-PRF) an Effective Method for Root Length and Alveolar Bone in Maxillary Canine Retraction? A Split-mouth Randomized Controlled Trial
Authors: Minh Chau Pham Thi , Le Lam , Khanh Le Vu Phuong , Nhut Khue Truong
Published: February 2025

Objective

This study aimed to evaluate the effectiveness of injectable platelet-rich fibrin (i-PRF) in root resorption and alveolar bone density.

Methods

This study was a split-mouth randomized clinical trial that included 31 patients (9 males and 22 females, ages ranging from 15-25 years) treated for Class I malocclusion with the indicated extraction of the maxillary first premolar. After the first stage of the procedure, 150 gm of force was applied to the maxillary canine. Before the canine retraction, i-PRF was prepared from each patient's blood and then injected into the buccal and palatal aspects of the extraction sites. For each patient, Cone Beam Computed Tomography (CBCT) of the maxillary canine was taken before and after treatment (T1 and T4) to evaluate root resorption and bone density.

Results

A decrease in canine root length was recorded in both groups after canine retraction (p<0.001). The vertical alveolar bone increased on the buccal and lingual surfaces in both groups, and the angle of U3 to PP decreased. However, the difference was not statistically significant (p>0.05). The total alveolar bone level increased by 0.59±1.28 mm on the buccal side. These changes were statistically significant (p <0.05).

Conclusion

In this study, root resorption and alveolar bone loss were reported around the maxillary canines in both groups, i-PRF and the control. However, the difference was not statistically significant. Alveolar bone changes during orthodontic treatment were found to be small and low-risk.
Evaluation of Performance of a Person using Virtual Stock Market
Authors: Sachin  , Gupta Shreyansh , Tyagi Uday , Verma Sonia
Published: February 2025

This project's goal was to use research and trading simulations to acquire a
fundamental understanding of the stock market. Using suitable investment and
technical analysis methodologies along with online simulation tools, investment theory
was put into practice. During the simulation, stocks were traded using several tactics. A
number of trading techniques' outcomes were analysed and ranked based on
profitability. There was also a discussion of each strategy's efficacy. It is obvious that
one of the most popular topics these days is the stock market, but what is it really?
Sometimes, it needs to be clarified what is intended. The stock market is where? Or is
there another possibility? It is an entirely abstract idea for many people. A lot of
individuals believe that the stock market and Wall Street are identical to one another.
However, Wall Street is the hub of trade and the birthplace of the largest financial
market in the world. In actuality, the phrase “stock market” refers to the idea of a
system that makes it possible to trade derivatives, other securities, and firm shares.
Derivatives are traded on many exchanges, and commodities are exchanged on
commodity markets. Most consumers need the resources or financial know-how to
trade on stock exchanges. This study aimed to improve people's capacity for learning
and their fearlessness. A web-based virtual stock trading system (VST) with integrated
financial indicator analysis was created to mimic the stock market. It is anticipated that
when students study with objective financial analysis, their mental states will be
unaffected by the news, and students who follow market movements can become
logical investors.
Comprehensive Life Cycle Methodology for the Development of Product Metrics
Authors: Singhal Swasti , Ahuja Laxmi , Monga Himanshu
Published: February 2025

This study proposes an approach that encompasses the entire product life
cycle, aimed at offering comprehensive product metrics for sustainable manufacturing.
The metrics are designed to consider the three dimensions of sustainability, namely
environmental, economic, and social factors. This paper centers on life cycle
assessment and categorizes it into five stages of a product's life cycle, namely: the
product's inception and design phase, the manufacturing phase, the transportation
phase, the user experience phase, and the post-use and end-of-life cycle phases. This
study centers on the metrics of the product and the challenges associated with creating
a sustainable product, in addition to examining its life cycle. These provide an
opportunity to establish a system of stratification for the metrics, based on the presence
of distinct metrics throughout various stages of the life cycle. The generic metrics that
were developed have been categorized into distinct metric clusters, which presents an
opportunity to establish a metric levelling framework.
Detailed Overview of the Internet of Things and Its Amalgamation with Artificial Intelligence
Authors: Tyagi Shiva , Rathore Riti
Published: February 2025

Recommender systems can guide users towards engaging content from a
diverse array of options. They serve fundamental functions in information retrieval and
e-commerce by providing suggestions that narrow down extensive information spaces
and guide consumers toward the goods that most effectively meet their needs and
preferences. Recommender systems are computer programs that assist us in narrowing
down our choices and providing optimal recommendations depending on our
preferences. The recommendation algorithm autonomously filters options based on the
user's preferences, making it effortless for users to locate appropriate rental properties.
This research uses the cosine similarity measure to analyze its effectiveness and
potential enhancements for our rental property dataset.
Initiatives for Challenges Faced By Developed Countries and India on Green Growth and Sustainable Development in the World
Authors: Kumar Shalin , Verma Parul , Kanyal Hoshiyar Singh , Jha Praveen Chandra , Rai Jyoti
Published: February 2025

This review article analyzes various sign language recognition
methodologies that rely on sign acquisition techniques and sign identification methods.
Artificial neural networks are well suited for analyzing gestures, employing visionbased methods, and identifying signs. The Sign Language Recognition (SLR) system is
a method for understanding a set of generated signs and converting them into text or
speech while preserving the necessary context. The application of gesture recognition
can exemplify effective human-machine interactions. Our objective in this study was to
develop a model using a convolutional neural network. Consequently, the precision rate
stands at approximately 85%. Subsequent efforts should enhance the Image Processing
module to facilitate bidirectional communication, namely enabling the system to
seamlessly convert between sign language and conventional language in both
directions.
Exploring Deep Learning Techniques for Accurate 3D Facial Expression Recognition
Authors: Sharma Piyush , Singh Shubhangi , Fatima Hoor
Published: February 2025

The potential of facial expression recognition (FER) in a variety of domains,
including psychology, human-computer interaction, and security systems, has drawn a
lot of attention in recent years. However, the majority of FER systems now in use can
only identify facial expressions in 2D photos or movies, which can reduce their
robustness and accuracy. In this paper, we propose a 3D FER system that enhances the
accuracy of facial expression recognition through deep learning techniques. Though
FER is becoming more and more popular, there are still several issues with the present
systems, like poor handling of various stances, occlusions, and illumination
fluctuations. Furthermore, more study needs to be done on 3D FER, which can yield
more thorough and precise results. Long short-term memory networks (LSTMs) are
used to map the temporal correlations between facial expressions. In contrast,
convolutional neural networks (CNNs) are utilized to extract significant features from
3D face data in order to overcome these issues. We propose to record the dependencies.
We provide an ensemble model that combines CNN's and its LSTM networks'
advantages. The experimental results demonstrate that our proposed 3D FER system
achieves over 80% accuracy on published datasets, outperforming current state-of-te-art 2D FER systems. This reveals that as compared to individual CNN and LSTM
models, the suggested ensemble model likewise greatly increases detection accuracy.
In conclusion, this study shows the promise of 3D FER systems and suggests a deep
learning-based method to enhance the precision and resilience of facial expression
detection. The suggested technique can be applied to a number of tasks where precise
facial expression identification is necessary, including virtual reality, avatar animation,
and emotion detection.
Chronic Kidney Disease Prediction Using Machine Learning: Feature Selection
Authors: Mondol Sujoy , Moiez Ur Rahman Syed Mohammad , Khan Asjad Moiz , Fatima Hoor , Dubey Preeti
Published: February 2025

Chronic kidney disease (CKD) is a pathological condition that, if not
addressed, can progress to renal failure. Machine learning models have the potential to
assist in predicting chronic kidney disease by analyzing data from blood tests, urine
tests, imaging tests, and biopsies. This study primarily examined a dataset of blood
samples consisting of 26 patient features. These features were subsequently narrowed
down to the top 10 based on their highest statistical score, which was calculated using
SelectKBest. This technique enhances the accuracy and efficiency of machine learning
models by reducing the dimensionality of the input data and emphasizing the most
pertinent features. In this study, two approaches were examined. The K-fold crossvalidation technique achieved the greatest accuracy of 98.0%, while the average
accuracy for the same technique was 96.0%. On the other hand, the Naive Bayes
classifier achieved an accuracy score of approximately 93.33%. The results show
promise in accurately predicting the identification of patients with chronic renal
disease.
Graphene Quantum Dots from Synthesis to Innovation for Advanced Optics and Bio-Optics Trends
Authors: Bracamonte A. Guillermo
Published: February 2025

The generation of non-classical light with improved performances within tiny sizes, intervals of lengths, and diameters is still a challenge. The generation of variable wavelengths associated with different frequencies of energy modes produced from new sources of emitters within confined scales from the Quantum to Nano-and Micro-scales are of high impact. It is noted here that the concept of the generation of non-classical light related to electronics and photonics interactions with different topological matter constitutions could be tuned by the use of new optical carbon-based active materials. When the light is produced below the Nanoscale, other phenomena are involved where Quantum phenomena and Optics are present. In this regard, there are a lot of materials that could achieve these types of new modes of energy from different sources. However, there are not so many from organic based materials. This does not originate from the electron density, and the potential tuning of their properties due to carbon and incorporation within varied chemical structures is associated with interesting optoelectronic properties. These properties are based logically on the electronic configuration and orbitals involved. Therefore, Carbon-based Nanomaterials and Quantum materials achieved the high impact and new Nano-Optical emitters. In this context, Carbon dots, Carbon-based Laser dyes, and Carbon Quantum Dots appeared to be of interest for Optoelectronics developments contemplating from fundamental studies to applications. Thus, Graphene showed improved performances for Optical perspectives with varied types of applications. Graphene Quantum dots appeared in the developments of high interest based on their homogeneous electronic distributions produced by well-organized chemical structures controlled spatially and contemplating sizes. Both characteristics are not so easily found in other materials. For this reason this short Review of Graphene Quantum Dots and new Carbon Dot structures presented the classical and new trends in the synthesis of these types of materials to open further discussion toward fundamental studies with targeted new Optics based on fine chemical modifications and Quantum and quantum coupling, electromagnetisms, electron and photon conductions, as well as other modes of photonics, plasmonics, and quantum energy modes such as phonons, polaritons, bosons, excitons, electromagnetic fields, magnetism, Qbits, and quarks, etc. In this manner, the concept of quantum coupling was always considered in the Research, showing the electronic waves and related phenomena were under focus and analysis to show and demonstrate enhanced interferences based on their interactions. Therefore, there are many new modes of energy that are of interest to new studies and further applications. In these perspectives this short Review intends to show trends in progress.
The Promise and Perils of Artificial Intelligence in Advancing Participatory Science and Health Equity in Public Health
Authors: King Abby C , Doueiri Zakaria N , Kaulberg Ankita , Goldman Rosas Lisa
Published: February 2025

Current societal trends reflect an increased mistrust in science and a lowered civic engagement that threaten to impair research that is foundational for ensuring public health and advancing health equity. One effective countermeasure to these trends lies in community-facing citizen science applications to increase public participation in scientific research, making this field an important target for artificial intelligence (AI) exploration. We highlight potentially promising citizen science AI applications that extend beyond individual use to the community level, including conversational large language models, text-to-image generative AI tools, descriptive analytics for analyzing integrated macro- and micro-level data, and predictive analytics. The novel adaptations of AI technologies for community-engaged participatory research also bring an array of potential risks. We highlight possible negative externalities and mitigations for some of the potential ethical and societal challenges in this field.
Enhancing Preclinical Training for Removable Partial Dentures Through Interactive 3D Virtual Simulation: Development and Usability Study (Preprint)
Authors: Siu Yikchi , Bai Heifei , Yoon Jungmin , Ye Hongqiang , Liu Yunsong , Zhou Yongsheng
Published: February 2025

BACKGROUND

The integration of digital technology in dental education has been recognized for its potential to address the challenges in training removable partial dentures (RPDs) design. RPD framework design is crucial to long-term success in the treatment of dentition defects, but traditional training methods often fall short of adequately preparing students for real-world applications.

OBJECTIVE

This study investigated whether the use of preclinical training software for RPDs, based on three-dimensional (3D) virtual simulation technology and an engaging teaching approach, enhances the learning efficiency of newly enrolled master’s degree students in stomatology. In addition, the perceptions of both students and faculty regarding the use of the program were assessed.

METHODS

The RPD Training Software (RTS) is a preclinical training tool that simulates the clinical process of treating partially edentulous patients. In this study, 26 newly enrolled master’s degree students in stomatology who volunteered to participate were randomly divided into a control group (n = 13) and a training group (n = 13). The training group used the RTS for 2 credit hours (90 min) of self-study, while the control group received theoretical lessons and case practice from an instructor. After the 2 hours, both groups completed the theoretical knowledge and drawing tests for RPD simultaneously. Test results were evaluated and graded by two experts in prosthodontics. Both users and teachers filled out a questionnaire afterward about their training experience.

RESULTS

Subjects in the training group obtained better final grades compared to controls (theoretical test: 88.8 ± 2.3; 85.7 ± 3.3, respectively; P < 0.05; drawing test: 88.8 ± 4.5; 85.1 ± 4.3, respectively; P < 0.05). The training group had a shorter completion time in the drawing test (12.6 ± 19 mins; 17.7 ± 3.0 mins, respectively; P < 0.001) but there were no significant differences in the completion times in the theoretical test. Students and faculty generally had a favorable opinion of the RTS.

CONCLUSIONS

The effectiveness of the RTS for newly enrolled master’s degree students in stomatology to understand and apply their knowledge of RPD framework design was validated; the system was well received by both students and faculty members, who reported that it improved the effectiveness and convenience of teaching.
Validation and selection of criteria for evaluating apps for managing depression: a Delphi study (Preprint)
Authors: Robles Noemí , Fuster-Casanovas Aïna , Moretó Sònia , Duarte-Díaz Andrea , Gelabert Estel , Padilla María , Gómez Corpus , Pérez-Navarro Antoni , Vidal-Alaball Josep , Subirà Susana , Saigí-Rubió Francesc , Carrion Carme
Published: February 2025

BACKGROUND

Despite a lack of evidence relating to effectiveness and safety, the use of apps in the field of mental health is increasing due to their ease of use and accessibility. The aim of the EvalDepApps project is to develop and validate an assessment tool for evaluating depression management apps based on scientific evidence, expert judgment, and end-user needs.

OBJECTIVE

The purpose of this study was to determine the most relevant criteria for evaluating apps intended to manage depression through consensus-based assessment.

METHODS

A total of 43 individuals (22 health professionals, 4 health technology experts, and 17 individuals diagnosed with depression) were invited to participate in an online modified Delphi study of 51 criteria identified from the literature. In Round 1, participants rated criteria according to relevance (0="Not at all important" to 6="Very important") and 3 levels of consensus were defined: high level when ≥ 80% of respondents scored the criterium at 5 or 6; medium when 60-79% of respondents scored the criterium at 5 or 6; and low when < 60% of respondents scored the criterium at 5 or 6. In Round 2, participants were asked to re-rate criteria that had achieved the medium level of consensus in Round 1 under the same parameters. Comments by participants were collected and analyzed. The final assessment list consisted of those criteria that had attained the maximum consensus in either Round.

RESULTS

The response rate was 59.0% (26/43) in Round 1 and 53.4% (23/43) in Round 2. In Round 1, 24 criteria (47.1%) attained the maximum level of consensus, 20 (39.2%) the medium level, and 7 (13.7%) the lowest level. In Round 2, 4 out of 20 criteria (20.0%) attained the maximum consensus. Participant comments reinforced the relevance of the selected criteria. The final list consisted of 28 criteria, the majority relating to Safety and Privacy, and Clinical Effectiveness (25.0% each), followed by Usability and Functionality (17.9%).

CONCLUSIONS

By prioritizing criteria relating to data security and clinical effectiveness, participants in this study emphasized that the assessment of apps for depression management must take both these aspects into full consideration. The results of this study will enable the EvalDepApps project to develop an assessment tool for depression management apps that incorporates the most relevant criteria.
Rationale and design of the Post Discharge after Surgery Virtual Care with Remote Automated Monitoring Technology 3 (PVC-RAM-3) trial (Preprint)
Authors: Ofori Sandra , McGillion Michael H. , Borges Flavia K. , Ouellette Carley , Patel Ameen , Conen David , Marcucci Maura , Wang Michael Ke , Park Lily Jaeyoung , Bell Conor , Lounsbury Jennifer , Nagatani Kanae , Tandon Vikas , Wilkieson Trevor J. , Wyne Ahraaz , Harvey Valerie , Harrison Stephanie , Nenshi Rahima , Bogach Jessica , Harlock John , Cadeddu Margherita , Forbes Shawn , Haider Shariq , Mirza Reza D. , Narang Sunita , Reade Clare J. , Tushinski Daniel M. , Raut Amit , Raza Samir , Scott Ted , Adili Anthony , Petch Jeremy , Devereaux PJ
Published: February 2025

BACKGROUND

A substantial proportion of patients require acute hospital care after hospital discharge post-surgery, and many regions and countries have surgical backlogs.

OBJECTIVE

The post-discharge after surgery Virtual Care with Remote Automated Monitoring technology-3 (PVC-RAM-3) trial tests the hypothesis that informing surgeons and patients of virtual care with remote automated monitoring (VCRAM) assignment will promote earlier discharge, thereby reducing the index length of hospital stay, and that post-discharge VCRAM will reduce acute hospital care.

METHODS

The PVC-RAM-3 trial is a randomized controlled trial that compares VCRAM to standard post-discharge care among 2500 adults undergoing elective non-cardiac surgery in three Canadian hospitals. Following the randomization of patients prior to surgery, surgeons and patients are immediately notified whether the patient has been allocated to the VCRAM or control group. Outcome adjudicators remain blinded to each participant’s group assignment.
Patients in the intervention arm learn to use a Health Canada approved cellular modem-enabled tablet computer and Bluetooth-enabled RAM technology from Cloud Dx to take daily wound photos for 7 days, and measure daily vital signs (i.e., blood pressure, heart rate, oxygen saturation, temperature, and weight) three times daily on days 1-7 and twice daily on days 8-14 post-discharge, along with completing a brief recovery survey. Nurses review these data and conduct scheduled virtual visits (days 1, 3, 7, and 14). Nurses will escalate care to a pre-assigned and available perioperative care physician if predetermined vital sign thresholds are exceeded, concerning symptoms arise, or a medication error is detected. These physicians manage the issues and add or modify treatments as needed.
The standard care group will receive post discharge care as per the standard of care at the hospital where they undergo surgery. The co-primary outcomes are acute hospital care and the index hospital length of stay within the first 30 days after randomization.

RESULTS

Study recruitment and follow up is completed and analysis of the study results is underway.

CONCLUSIONS

This trial will offer insights into the role of VCRAM in reducing acute hospital care and index length of hospital stay among adults undergoing elective surgery.

CLINICALTRIAL

ClinicalTrials.gov, no. NCT05171569
Association Between Mandibular Third Molar Position and Recurrent Pericoronitis (Preprint)
Authors: Dangore- Khasbage Suwarna , Teredesai Dr Tanaya
Published: February 2025

BACKGROUND

Pericoronitis is a common pathological condition related to mandibular third molar which is often known to cause pain and discomfort. The conditionmay be chronic, exhibiting episodic symptoms that last for a few days to weeks and recurring multiple times in less than a year. The operculum covering the erupting mandibular third molars may become obscured by the eruption of maxillary third molars. Such recurrent trauma might exacerbate the symptoms and lead to ulcerations. Ongoing monitoring at regular intervals and with the help of patient-centered decision-making clinicians can develop the most effective treatment plan.

OBJECTIVE

The study aims to determine association between mandibular third molar position and recurrent pericoronitis

METHODS

This cross-sectional study will include 200 patients having partially impacted mandibular third molar with recurrent pericoronitis. The patients aged between17- 35 years with occurrence of pericoronitis will be included in this study. The impacted tooth’s side and the symptoms associated with pericoronitis will be recorded by performing clinical examination. All these patients will be evaluated on panoramic radiographs to assess the impaction status of mandibular third molar.

RESULTS

On panoramic radiographs, the impaction status of mandibular third molar will be assessed with reference to type and occlusal plane based on the Pell & Gregory classification. Patients’ data will be recorded and analysed for statistical significance.

CONCLUSIONS

Mandibular third molars which are placed horizontally or mesioangularly might be more commonly associated with recurrent pericoronitis. Detection and intervention at early stage for pericoronitis in individuals with impacted third molars is vital.

CLINICALTRIAL

Not Applicable as the study is non randomised
Enhancing Quality of Life in Diabetic Nephropathy Patients: The Impact of a Multifaceted Psychological Intervention (Preprint)
Authors: Tang Hangyan , Liu Shengquan
Published: February 2025

BACKGROUND

Patients with diabetic nephropathy (DN) frequently encounter negative emotions and diminished quality of life, largely influenced by the neuroendocrine-immune axis. This study seeks to explore how a multifaceted psychological intervention can ameliorate these effects and unravel the molecular pathways involved.

OBJECTIVE

To investigate the impact of a multimodal psychological intervention on negative emotions and quality of life in DN patients, and to unravel the key regulatory gene networks through bioinformatic analysis.

METHODS

Sixty DN patients were randomly assigned to either an intervention group receiving an 8-week program of cognitive behavioral therapy, mindfulness meditation, and relaxation training, or a control group receiving standard care. Assessments of emotional parameters were conducted using standardized scales, while serum markers were measured through ELISA. Bioinformatic analyses including GO/KEGG enrichment and PPI network analysis were performed to elucidate the molecular mechanisms.

RESULTS

The intervention group demonstrated remarkable improvements in negative emotions and quality of life, evidenced by lowered HADS scores and increased SF-36 scores. Significant reductions in cortisol, CRH, ACTH, IL-6, IL-1β, and TNF-α were observed in the intervention group. Bioinformatic analysis unveiled upregulated genes linked to immune regulation and inflammation, with IL-6 identified as a central player in the inflammatory network.

CONCLUSIONS

The multimodal psychological intervention effectively enhanced negative emotions and quality of life in DN patients by modulating IL-6 and associated pathways within the neuroendocrine-immune axis. IL-6 emerged as a critical regulatory factor, offering insights for potential clinical interventions.
Harmonisasi Prinsip ‘Right to be Forgotten’ Pada Jadwal Retensi Arsip (JRA): Sebuah Analisis Komprehensif
Authors: Fachmi Achmad , Inamullah M. Hanif
Published: February 2025

This study aims to explore the differences in perspective between the Right to be Forgotten (RtbF) principle and the records management principles contained in the Records Retention Schedule (JRA). The focus of research is on efforts to harmonize the RtbF principle in Law No. 27 of 2022 on Personal Data Protection (PDP Law) and the JRA to ensure that personal record management complies with the new privacy regulations. The PDP Law recognizes the RtbF principle allowing individuals to request the deletion of their personal information. This principle significantly impacts the concept of privacy in record management but is potentially contradictory to the record management principles outlined in the JRA due to differing views on the retention period of personal records. This study employs an argumentative literature review method based on an interdisciplinary approach. The data analysis process begins with the selection of literature, followed by comprehensive reading and evaluation of selected literature from an inclusive perspective according to the research theme, and then summarizing, analyzing in depth, and critically synthesizing. The findings of this study indicate the need for harmonization in the implementation of the RtbF principle in the drafting of the JRA requiring consideration of user consent, privacy policy, and the categorization and classification levels of RtbF. Therefore, the development of JRA policies requires harmonization with the RtbF principle to accommodate both principles without violating each other, avoiding legal disputes, and breaching existing policies. Thus, a comprehensive examination of the RtbF principle and its relevance to archival science is necessary to support legal certainty in record management activities.
АВТОМАТИЗАЦИЯ ТЕПЛОВОГО МЕТОДА ВЫХОДНОГО КОНТРОЛЯ РАДИОЭЛЕКТРОННЫХ ИЗДЕЛИЙ
Authors: Чупринова О.
Published: February 2025

В статье рассматривается автоматизация теплового выходного
контроля радиоэлектронных средств (РЭС) с применением
искусственных нейронных сетей для обработки тепловизионных
измерений и данных промышленных датчиков. Предложенный
подход позволит оптимизировать процесс диагностики
и уменьшить временные затраты на поиски неисправностей
Los Órganos Constitucionales Autónomos en México: Análisis sobre la configuración de los OCA y su transformación con la reforma
Authors: Piña Medina Zianya
Published: February 2025

Los Órganos Constitucionales Autónomos son entidades inscritas en la Constitución Mexicana, cuya función es establecer contrapesos al poder político y garantizar la independencia en sectores clave para la democracia y los derechos humanos. En 2021 el presidente Andrés Manuel López Obrador presentó una iniciativa que buscaba reformar a la COFECE, el IFT, la CRE, el INAI, la CNH, el CONEVAL, INE y el MEJOREDU debido a que considera que eliminarlos permitiría una reasignación de esos recursos en otros sectores, se eliminarían duplicidades en las tareas administrativas y podrían ser más vigilados en cuanto a la maximización de sus resultados.
Tratamiento ortodóncico de paciente clase I con sistema de autoligado pasivo
Authors: García-Hernández Ana Sofía , Cervantes-Hinojosa Evelin , Rodríguez-Chávez Jacqueline Adelina , Meléndez-Ruiz José Luis , Moreno-Martínez Víctor Omark , Orozco-Varela Carlos
Published: February 2025

Introducción: la maloclusión de los dientes es una discapacidad con un impacto potencial sobre la salud mental y física. La mayoría de las veces es causada por una distorsión del desarrollo normal.  Objetivos: Presentar el manejo ortodóntico de un paciente clase I con sistema de autololigado pasivo. Presentación del caso: paciente femenino de 11 años, mesofacial, perfil recto, clase I esqueletal, clase I molar, clase canina no establecida, apiñamiento superior de 6.4 mm e inferior de 7.73 mm, overbite de 5 mm y overjet de 2 mm. Respiradora oral y con onicofagia. Se realizó un tratamiento con brackets de autoligado pasivo. En la fase de alineación y nivelación se colocaron brackets Damon® Q en arco superior e inferior y arcos 0.014” CuNiTi, con uso de elásticos CII 24 horas diarias y buildups en los primeros molares superiores. Se comenzó la fase de trabajo con arco inferior 0.016 x 0.022” SS y se finalizó con arcos 0.019 x 0.025” SS, se retiró aparatología y se colocó retención. Como resultados el perfil facial se mantuvo, se eliminó el apiñamiento, obtuvo un overjet y overbite correctos, se mantuvo clase I molar y se logró clase I canina, se estableció guía canina y anterior. Se eliminó curva de Spee, se coordinaron arcos, además se obtuvo la satisfacción completa de la paciente. Conclusión: La toma de decisión en el plan de tratamiento de pacientes con maloclusión clase I debe realizarse tomando en cuenta varias características, como el perfil del paciente, la inclinación de los incisivos y la altura facial inferior. En el presente caso, todas las características que presentaba la paciente eran adecuadas para realizar un tratamiento sin extracciones, lo cual se confirma con los resultados obtenidos.
Relación de la longitud de la vía aérea faríngea con la clase esquelética
Authors: Parra-Melgar Alejandro , Pineda-Martínez Tania Arlet , Rosales-Calderón Audiffred , Hernández-Juárez Jesús
Published: February 2025

Introducción: El estudio de las vías aéreas en ortodoncia es fundamental debido a que la función respiratoria interfiere en el desarrollo adecuado de las estructuras que forman el complejo craneofacial. Las obstrucciones del conducto nasal favorecen el desequilibrio funcional e incluso pueden ocasionar el desarrollo de maloclusiones. Objetivo: determinar la asociación entre la longitud anteroposterior (LAP) de la faringe superior (FS) e inferior (FI) con la clase esquelética (CE), y con la longitud maxilar y mandibular. Material y métodos: el estudio se realizó en la clínica de Ortodoncia de la Universidad Autónoma “Benito Juárez” de Oaxaca. Se analizaron 60 radiografías laterales de cráneo de personas de 18 a 40 años sin tratamiento orotodóncico previo; se dividieron en grupos con base en su CE. Resultados: se identificaron 30 personas con CEI y 30 con CEII. Se observó que la LAP de la FI es mayor en la CEI que en la CEII (11.8 ± 2.9 mm vs. 10.0 ± 2.4 mm; p=0.007), la LAP de la FI correlaciona débilmente con la longitud mandibular (p <0.001, r = 0.44) y la LAP de la FI es mayor en los hombres que en las mujeres (12.1 ± 3.0 mm vs. 10.0 ± 2.3 mm; p= 0.003). Conclusiones: la LAP de la FI es mayor en la CEI que en la CEII y mayor en hombres que en mujeres; además, la LAP correlaciona con la longitud mandibular.
Propiedad intelectual y gestores bibliográficos: conocimientos, percepciones y experiencias en estudiantes de ciencias de la salud
Authors: Castro Larios Luis Alberto , Orozco Páez Jennifer , Acosta Jiménez Marlene Judith , Díaz de Arcos Alejandro
Published: February 2025

El objetivo del estudio es determinar los conocimientos básicos en torno a la propiedad intelectual, además de las percepciones y el uso de gestores bibliográficos en estudiantes de ciencias de la salud. Se realizó un estudio descriptivo de corte transversal en estudiantes de odontología, medicina, bacteriología, enfermería e instrumentación quirúrgica. Los resultados demostraron que a los encuestados se les dificulta identificar aspectos básicos en propiedad intelectual y solo una parte de ellos incluye referencias bibliográficas en sus trabajos escritos, por lo que existe un alto riesgo de que los estudiantes cometan plagio. El uso de gestores bibliográficos es poco frecuente entre los estudiantes, principalmente porque no conocen la existencia de estos recursos informáticos, porque no han sido capacitados o porque consideran que se necesita mucho tiempo para aprender a usarlos. Los respondientes concuerdan en que desean recibir capacitación para usar estas herramientas. Se concluye que los estudiantes mostraron falencias respecto a conocimientos básicos en propiedad intelectual y que es necesario capacitarlos en el uso de gestores bibliográficos.
Analysis Of The Influence Of Production, Price, Land Area And Exchange Rates On Indonesian Tobacco Exports
Authors: Lastri Lastri , Purba Elvis F , Sihotang Jusmer , Laoli Clear Rita
Published: February 2025

Indonesia's tobacco exports are currently experiencing a setback. For this reason, this research uses the ARDL (Autoregressive Distributed Lag) model with variables of production, land area, international prices and exchange rates which influence Indonesian Tobacco Exports both in the short and long term. For the short term, the ARDL model forecasting variables for production, land area, international prices and exchange rates have a significant effect on Indonesian tobacco exports, while for the long term the variables of international prices and exchange rates have a significant effect on Indonesian tobacco exports.
Conditions Of The Business World, Industry World, Working World Of Indonesian Tourism
Authors: Yanti Dewi , Liyushiana Liyushiana , Khadry Muhammad
Published: February 2025

The tourism business world continues to grow in line with the development of tourism that accommodates all the needs of tourists visiting various tourist attractions. The purpose of this study is to develop various strategies to answer these needs both in increasing the number of entrepreneurs and workers in accordance with the needs of the business world, the industrial world and the world of work, especially in the tourism sector. This study uses a qualitative research approach where qualitative research as a scientific method is often used and implemented by a group of researchers in the field of social sciences, including education. The results obtained after conducting research in two interview quotes delivered by two informants from the Lake Toba Authority Implementing Agency, it can be said that the need for workers in the tourism sector in 8 Regencies Around Lake Toba is currently still high. However, to support the two statements above, a projection will be calculated based on four tourism business samples, namely, star hotels, non-star hotels, restaurants/eateries and Travel. Based on arithmetic calculations, the number of workers in the next five (5) years can be projected. In 2023 the number of workers in travel is estimated at 722 people. In 2024 it will increase to 766 people. In 2025, there were 827 people. In 2026, it increased to 902 people and in 2027, it increased to 1,010 people. The conclusion obtained from the research results can be seen in the projection of the number of special workforce data on travel in the next five (5) years, increasing by around 5% - 12% each year.
Analysis Of Linguistic Intelligence In Students' Audiovisual-Based Story Content Understanding Of Class VIII
Authors: Siregar Junifer , Saragih Vita Riahni , Tampubolon Novita Sari
Published: February 2025

Understanding reading aims to obtain information from sources of knowledge conveyed through writing. Understanding is the most important component in reading activities with the aim of obtaining clear information from what is read. Understanding a story can be done by reading books or listening to stories either orally or through media. To obtain good understanding, it is necessary to train linguistic intelligence, because understanding the contents of the story is related to linguistic intelligence. Good linguistic intelligence is defined as the ability to recognize, know, understand the meaning of a word, and express it orally or in writing. From the results of observations of the linguistic intelligence of class VIII students of SMP Negeri 2 Pematangsiantar, they differ from each other. This means that there are various understandings of children in understanding the contents of fictional stories, such as students who can already accept and there are also students who cannot accept learning. Understanding the contents of the story, apart from being influenced by word mastery, can also be influenced by the media used by the teacher. Therefore, the use of interesting media can increase students' interest in listening, reading, speaking, and writing a story even with a long plot. To be able to determine a person's linguistic intelligence, one can find out the mastery of words that can be known from four aspects, namely: listening, reading, writing and speaking. Linguistic intelligence in understanding the contents of fictional stories if taught with the right and interesting media will also increase. Therefore, to improve linguistic intelligence, researchers choose audio-visual media.
Integrated Quality Management Of The Jakarta Radio And Television Media Communications Academy In Achieve The Vision Of Becoming The Leading Academy In Indonesia
Authors: Hardjito Hardjito , Widyarini Nilam
Published: February 2025

AbstractVision is a model of the future, a goal that an organization wants to achieve . AKMRTV Jakarta’s vision, stated in the 2021 AKMRTV Jakarta Academy statutes is to become the leading broadcasting academy in Indonesia by 2022 , while data released by webometrics, AKMRTV Jakarta has not yet entered the list of one hundred leading universities in Indonesia and provides an assessment of AKMRTV's accreditation ranking Jakarta is "B", becoming empirical evidence of the problem that the vision has not been achieved and improvements must be made to increase the quality of management. Researchers will describe the operations of integrated quality management, examine in depth the problem of not achieving the vision and find scientifically appropriate solutions for improvement in integrated quality management of AKMRTV Jakarta.Qualitative methods were uses in this research with a case study approach. Data collection techniques through: 1) observation by direct observation, documentation, 2) in-depth interviews, namely 6 resource persons who are involved in quality management and have leadership roles at AKMRTV Jakarta, 3) documentation in the form of documents, photos and videos. The data analysis technique used is the Creswell technique, namely: organizing data, coding, presenting and interpreting. The data validity technique attempted to use triangulation, namely conducting several evaluators or several previous studies.The research results show that AKMRTV's changes after the transfer of management focused more on the hard side, with improvements in the quality of the management system and excellent infrastructure. Meanwhile, social capital, which is a soft side element, has not yet become the focus of attention, so it has an impact on the quality of leadership roles and quality of performance on the management climate and quality culture to achieve vision goals.
Inventory Control Analysis Using The EOQ Method At CV Sudut Cantik
Authors: Jamil R. Moh Shaf Hal , Rahmawati Zulfia , Widuri Trisnia
Published: February 2025

This research aims to determine the inventory control carried out by CV Sudut Cantik. The data used in this research is primary data obtained from interviews and secondary data obtained from company records for one year (January – December 2023). The data analysis method used in this research is Economic Order Quantity (EOQ) method, which aims to find out economical orders, Total Inventory Cost (TIC), Safety Stock (SS), and ReOrder Point (ROP). Using a descriptive quantitative research approach. Data were analyzed using POM-QM For Windows V5.3. The research results obtained are the Total Inventory Cost according to company policy for products  namely Daviena Skincare Glowing Series Package is IDR 337,725, while based on the EOQ method is IDR IDR 34,155.
Study and Identification of Ascomycetes Fungi Hypoxylon from Chhatrapati Sambhajinagar
Authors: Shubhangi Rupwate
Published: February 2025

Present study deals with the biodiversity of Ascomycetes Fungi Hypoxylon in chhatrapati Sambhajinagar District.
Ascomycetes have a diverse habitat. Ascomycetes are economically important. Regular collection and monitoring of samples
were carried out during the study. Identification key and comparative slides were used for identification of fungi. Altogether
Fifty-Five samples were collected from different seven sites. Hypoxylon fragiforme, Hypoxylon howeanum species were
dominant.
Privacy - Preserving Anomaly Detection Using Federated Learning and Explainable AI
Authors: R Divya
Published: February 2025

Anomaly detection is crucial for identifying security threats and system failures. Traditional methods often require
centralized data collection and raising privacy concerns. This paper proposes an idea of privacy-preserving anomaly detection
system using Federated Learning (FL), Explainable AI (XAI) and Generative Adversarial Networks (GAN). Federated Learning
provides with decentralized training while preserving the data privacy and Explainable AI enhances model transparency, helping
in decision making. By utilizing deep autoencoders for anomaly detection and SHAP/LIME for explainability, it ensures secure
and interpretable anomaly detection across distributed environments. The proposed model is trained and validated using realworld datasets, demonstrating effectiveness in identifying anomalies while minimizing privacy risks
Predicting Air Quality Using Machine Learning Models: A Comparative Study on Pollution Data from Urban Environments
Authors: Makwana Janvi H
Published: February 2025

This research explores the prediction of air pollution levels through machine learning models, utilizing publicly
available datasets containing parameters such as PM2.5, PM10, NO2, CO2, temperature, and humidity. The study implements
Random Forest, XGBoost, and Linear Regression to compare their predictive performance. The findings highlight the efficiency
of machine learning techniques in forecasting air quality and suggest potential applications in urban environmental monitoring.
The impact of compensation on corporate performance: The role of firm size and leverage
Authors: Surbakti Afridayanti
Published: February 2025

This study aims to analyze the effect of compensation on company performance, focusing on the moderating role of company size and leverage. This study uses a sample of 300 companies listed in Indonesia from 2019–2021. The Ordinary Least Squares (OLS) method tests the relationship between variables. The results of the study indicate that increasing compensation significantly decreases company performance. This decline in performance is caused by ineffective compensation design and information asymmetry, which hinders management in achieving company targets. In addition, company size is found to moderate this relationship positively, where large companies tend to be able to design more effective compensation structures, thereby improving performance. Conversely, high leverage exacerbates the negative impact of compensation on performance, as it increases financial pressure and limits management flexibility in strategic decision-making. This study provides a theoretical contribution by emphasizing the importance of strategic and adaptive compensation design to the company's internal and external conditions. From a practical perspective, these findings guide company managers, especially in emerging markets such as Indonesia, to design optimal compensation structures to support sustainable growth and increase shareholder value.
Leaders’ contingent punishment behavior influences subordinates’ ingratiation behavior based on the perception of power
Authors: Ding Juan , Yu Xuan , Yuan Yue
Published: February 2025

Drawing upon leader???member exchange theory, this study investigated the relationship between leaders’ contingent punishment behavior and subordinates’ ingratiation behavior, focusing on the mediating role of subordinates’ subjective sense of power and the moderating
role of power distance. We surveyed 681 employees and managers in southwestern China working across various sectors. The results showed a positive correlation between leaders’ contingent punishment behavior and subordinates’ ingratiation behavior. Subordinates’ subjective
sense of power mediated this relationship, while power distance acted as a moderator. These findings underscore the significance of cultural and contextual factors in shaping leader???subordinate relationships, contributing to a holistic understanding with implications across various settings.