bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamic Indicators of Adherence and Retention in Digital Health Studies: Insights from the Brighten Study (Preprint)
Authors: Hamitouche Dylan , Barkat Youcef , Parekh Deven , Hammer Eva , Benrimoh David
Published: December 2024

BACKGROUND

Making optimal use of mobile health technologies requires the validation of digital biomarkers, which demands high levels of participant adherence and retention. However, current remote digital health studies have high attrition rates and low participant adherence, which may introduce bias and limit the generalizability of the findings.

OBJECTIVE

The objective of the study is to identify longitudinal indicators of participant retention and adherence, which may serve to develop strategies to improve data collection in digital health studies and improve understanding of how study cohorts are shaped by participant withdrawal and non-adherence.

METHODS

We performed secondary analyses on the Brighten study, which consisted of two remote, smartphone-based randomized controlled trials evaluating mobile apps for depression treatment, enrolling 2,193 participants. Participants were asked, after baseline assessment, to complete 7 digital questionnaires regularly. We assessed adherence to digital questionnaires, engagement (post-baseline participation), and retention rates (proportion of participants who continue completing questionnaires over time) as outcomes. We investigated the relationship between these outcomes and both static measures (e.g., demographics, average questionnaire scores) and dynamic measures (e.g., changes in questionnaire scores over time).

RESULTS

The study included 2201 participants, of whom 1093 completed at least one non-baseline questionnaire, with a median completion rate of 37.6%. We found significantly higher adherence rates in participants who were less depressed on average over the course of the study (P<.001) and in those who perceived clinical improvement (P=.001). There were significant demographic differences in adherence and engagement, specifically between gender, race, education, income, and income satisfaction. Participants who were more depressed at baseline were more likely to withdraw before completing any non-baseline questionnaire (t-score=-2.53, P=.01). However, participants who showed improvement in depressive symptoms during the study showed better adherence (Mann-Whitney U=127,084; P<.001) and retention (HR=0.78, 95% CI: [0.67, 0.91], P=.002), despite showing greater depressive symptoms at baseline.

CONCLUSIONS

We show that the clinical trajectory of participants regarding their depressive symptoms, as well as their own perception of their improvement, are important indicators of engagement, adherence, and retention. Expanding knowledge regarding these longitudinal indicators may improve interpretation of outcomes and help build strategies to improve retention and adherence in future clinical trials.
How does PCC reduce the probability of chronic diseases in adults? The sequential mediation role of PEHR and health literacy.v (Preprint)
Authors: Tan Liuchang , Li Jinran
Published: December 2024

UNSTRUCTURED

Research has demonstrated links between patient-centered communication (PCC) and patients’ health outcomes. However, little is known about the links between PCC and specific chronic diseases. Besides, research has also demonstrated links between personal electronic health record (PEHR)usage and health literacy, while little is known about the two variables as mediators in the relationship between PCC and chronic disease. This study is one of the first to examine the influence of PCC on adults’ chronic disease through sequential mediators: PEHR and health literacy. With a general basis of Street et al.’s pathway model, we proposed and tested sequential mediation pathways linking patient-centered communication to the adult population’s chronic disease, mediated by PEHR and sequentially mediated by PEHR and health literacy. Data from the 2022 iteration (updated May 16, 2023) of the Health Information National Trends Survey (HINTS6) were used for this study. This study focused on adults aged 18 and above. Results indicated that after controlling participants’ age, gender, education, and income, PCC is related to adult people’s chronic disease outcomes either directly or indirectly. Specifically, PEHR significantly mediates the associations between PCC and the adults’ chronic disease probabilities. Noteworthily, findings from this study also revealed that PEHR and health literacy sequentially mediate the relationship between PCC and chronic disease probabilities.
Defect Detection Using Thermography Camera Techniques: A review
Authors: AL-Jubori Hussein N. , AL-Darraji Izzat , Jerbi Houssem
Published: December 2024

Individuals across different industries, including but not limited to agriculture, drones, pharmaceuticals and manufacturing, are increasingly using thermal cameras to achieve various safety and security goals. This widespread adoption is made possible by advancements in thermal imaging sensor technology. The current literature provides an in-depth exploration of thermography camera applications for detecting faults in sectors such as fire protection, manufacturing, aerospace, automotive, non-destructive testing and structural material industries. The current discussion builds on previous studies, emphasising the effectiveness of thermography cameras in distinguishing undetectable defects by the human eye. Various methods for defect detection, including temperature analysis and image processing algorithms, are thoroughly presented. The factors contributing to the effectiveness of thermography cameras are explored, along with their advantages over traditional inspection methods. The literature review highlights the diverse applications of thermography cameras in fault detection. The review highlights the remarkable transformation brought by thermal camera technology in mechanical system fault detection, leading to improved maintenance practices. These cameras can detect unseen irregularities, enable non-invasive testing and support hands-on system maintenance, making them indispensable tools for ensuring mechanical systems operate efficiently, reliably and safely. With the continuous advancement of technology, the integration of Industry 4.0 and IoT technologies will further enhance the capabilities of thermal cameras, ensuring elevated performance across different domains. In electrical systems, thermal cameras allow for the early identification of faults, enabling proactive maintenance to mitigate risks. Additionally, by assessing structural integrity, thermal cameras can detect thermal and insulation inefficiencies, leading to improved energy efficiency.
Modified Study for the Effect of Combined Cycling Loading in Plane on Dynamic Edge Crack Propagation in a Thin Plate
Authors: Mosleh Israa Abed Alrazak , A. Alshamma Fathi A.
Published: December 2024

نظرا للأهمية والمخاطر المحتملة المرتبطة بحدوث الشقوق الميكانيكية في التطبيقات الهندسية الهامة، فقد أصبح من الضروري البحث عن نوع معين من انتشار الشقوق. هذه هي حالة شقوق الوضع المختلط التي تنتج عن الوضع الأول والوضع الثاني للتحميل والتي تنتشر في معظم الهياكل، ويتم عرض تلك الشقوق، بالإضافة إلى الظروف التي يمكن أن تحدث فيها، في هذه الحالة. في سياق نظرية ميكانيكا الكسر المرنة الخطية (LEFM)، تم تحقيق توليد إمكانية التحميل غير المتناسب على عينات من سبائك الألومنيوم من خلال تطبيق أحمال الشد الثابتة بالتزامن مع أحمال القص الدورية. باستخدام قانون جريفيث للوضع المختلط I/II لطاقة الشق، تم بناء معادلة نظرية لمعدل نمو الشق الديناميكي. تأخذ هذه المعادلة في الاعتبار تأثير انتشار الكراك الديناميكي. تجريبياً تم تصميم أجهزة مختبرية محلية الصنع وتعديلها لتتناسب مع طبيعة الأحمال المطبقة على عينات ذات شقوق حافة مسبقة من نوعين مختلفين من سبائك الألومنيوم (AA) 6061 و5052، بنظام Uni-Standard بطول شق الحافة تم إجراء مقارنة بين أنواع السبائك المستخدمة للتحقق من صحة النتائج. والتناقض بين مدى قرب النتائج النظرية من النتائج الحقيقية للكسر الذي حدث. وأظهرت النتائج التوافق بين المعادلة النظرية والنتائج العملية. تبدأ العينة 5052 بشكل أسرع وتنتشر الشقوق بشكل أسرع من السبائك 6061.
CuO/ZnO Nanocomposite Biosynthesis Approach Using Eucalyptus Leaves for Photodegradation of Tetracycline
Authors: S. Ameer Marwa , A. Atiya Mohammed , Hassan Ahmed K. , Shakorfow Abdelmalik Milad , Al Mhanna Najah
Published: December 2024

In this study, the photocatalytic degradation of tetracycline (TC), which is responsible for water pollution, was investigated in an aqueous solution by using two types of nanoparticles (NPs) based on green synthesis of ZnO NPs and CuO NPs as photocatalysts. Eucalyptus plant extract was chosen as a good reductant and capping agent because of its cost-effectiveness, nontoxic characteristics and ease of usage. Different molar ratios of Cu:Zn (1:3, 1:6, 1:9 and 1:12) were prepared, and then these ratios were evaluated to select the effective ratio for removing TC. The 1:6 ratio demonstrated the best photocatalytic performance, degrading 72.15% of TC at the ZnO/CuO nanocomposite (NC) dose of 0.5 g/L, an initial concentration of 10 mg/L, pH 7, an agitation speed of 300 rpm, a temperature of 25 °C, UV intensities of 15 W/m2 and a contact time of 180 min. The synthesis of NCs was characterised using different analysis methods. CuO/ZnO characteristics were investigated using several analytical techniques, including FTIR, FESEM, EDAX, AFM, BET and zeta potential analysis. The NP’s structure, morphology, thermal behaviour, chemical composition and optical properties were analysed. The FESEM images verified that the (1:6) CuO/ZnO NPs calcined and not calcined, with sizes of 13.92 and 26.73 nm, respectively, were crystalline and spherical. The quantity of TC degradation by metal oxide NCs was investigated using UV–Vis spectroscopy. This method is sustainable and environmentally benign because it synthesises both NPs from plant sources. These hybrid nanoparticles may be used to treat other pharmaceuticals that are hazardous to reduce pollution in water.
Corrosion and Microhardness Behavior Improvement of 316L Stainless Steel via Fiber Laser Surface Treatment
Authors: Majid Mustafa , Khalid Enas A. , Zghair Hayder
Published: December 2024

This study investigated how fibre laser surface treatment affects stainless steel 316L’s microhardness and corrosion resistance. The laser parameters utilized in this investigation were four different readings of laser power applied at a constant frequency and scanning speed to stainless steel 316L specimens. A digital micro-Vickers hardness tester was used to measure the microhardness of the samples before and after laser treatment. The TAFEL cyclic potentiodynamic polarization technique was employed to study corrosion behaviour. The microstructure of the base metal and the effect of laser power were investigated using optical microscopy. The phases before and after laser treatment were identified through X-ray diffraction, and the cross section of the heat-affected zones and the molten pool’s depth were examined using a scanning electron microscope. Results revealed that laser treatment affected microstructural transitional phase alterations. Compared with the average microhardness of the base metal, the microhardness of the laser-treated specimens improved to 78.23% as the laser power increased. The increase in microhardness considerably enhanced corrosion resistance to 36.13% relative to that of the base metal.
OPTIMIZING TRANSDERMAL PATCH FORMULATION FOR ENHANCED DELIVERY OF RIVAROXABAN: A COMPREHENSIVE DESIGN OF EXPERIMENTS APPROACH
Authors: NADENDLA RAMA RAO , PRIYANKA P. V. L. N.
Published: December 2024

Objective: To optimize Trans Dermal Patches (TDPs) of rivaroxaban using Poly Vinyl Pyrrolidone (PVP K30) and Hydroxypropyl Methyl Cellulose E50(HPMC E50) as hydrophilic polymers, Propylene Glycol(PG) as a plasticizer, and permeation enhancer.
Methods: TDPs were crafted using a solvent casting technique with a 2-level, 3-factor factorial design. These patches were assessed for thickness, folding endurance, in vitro drug release, drug content, and moisture uptake and loss. An 8-stage diffusion cell apparatus facilitated in vitro drug release testing. The independent variables were HPMC E50, PVP K30, and PG. The change in the concentration of these independent variables resulted in the optimization of the transdermal patch. The dependent variables were the thickness, folding endurance, and in vitro diffusion.
Results: The patch thickness ranged from 0.311±0.3 to 0.334±0.6. Folding endurance ranged from 58±0.7 92±6. The in vitro drug release ranged from 52.36% to 95.58%. The percentage drug content ranged from 83.58±0.4 to 95.26±0.5. The percentage of moisture content absorbed ranged from 21.36±0.13% to 25.54±0.26%. The percentage of moisture lost ranged from 1.01% to 2.31%.
Conclusion: PG increased the release of rivaroxaban because it permeated the membrane. HPMC E50 is highly soluble. Thus, rivaroxaban patches are potentially suitable transdermal drug delivery systems.
SYNTHESIS AND EVALUATION OF A COUMARIN SCHIFF-BASE FOR IN VITRO ANTIBACTERIAL ACTIVITY AGAINST STAPHYLOCOCCUS AUREUS
Authors: SHET SHREYA , B. V. SUMA
Published: December 2024

Objective: 44 novel Schiff bases of aminated 4-methylumbelliferones were designed and subjected to in silico evaluation of activity against S. aureus, with Dihydrofolate Reductase (DHFR) as the target. The top-scoring compounds (as per binding affinities) were subjected to drug-likeness and ADMET evaluation. Overall assessment of the binding affinities, drug-likeness and ADMET profile (especially toxicity) suggested that the derivative, BVSSS22 was found to be the most promising Schiff base (even when compared to the standard, Trimethoprim). Hence, the objective was to synthesize BVSSS22 and evaluate it for in vitro activity against S. aureus.
Methods: BVSSS22 was synthesized, characterized via melting point, TLC, and spectral data acquisition (ATR-IR, NMR, and HRMS), and evaluated for in vitro antibacterial activity against S. aureus using the agar-well diffusion method, with Trimethoprim as the standard (n=3).
Results: BVSSS22 was successfully characterized, and the in vitro antibacterial assay showed that BVSSS22 possessed zones of inhibition, where at 400 µg/ml, the zone of inhibition was slightly less than that of trimethoprim (18.33±0.57 mm v/s 17.33±1.15 mm).
Conclusion: The results show that BVSSS22 is a potent and safe drug candidate for anti-S. aureus action. However, it can be evaluated at a concentration higher than 400 µg/ml or undergo further structural optimization to enhance its in vitro potency to surpass that of Trimethoprim.
ACUTE TOXICITY STUDY OF ARSENICUM ALBUM IN WISTAR ALBINO RATS
Authors: A. MONISHA , S. BHUVANESHWARI , S. VELARUL , A. T. SATHIYA VINOTHA , M. S. UMAMAGESWARI , A. VIJAYAMATHY , T. M. KARTHIKEYAN
Published: December 2024

Objective: In India, homeopathic medicines derived from arsenic trioxide, such as Arsenicum album (A. album), are used to treat COVID-19. Many of the Arsenicum album's adverse events during the COVID treatment led to drug discontinuation. Nonetheless, Ayurvedic, Yoga and Naturopathy, Unani, Siddha, and Homoeopathic (AYUSH) medicine prescribes it. Researching Arsenicum album's toxicity is now essential since it will help decide whether or not the drug can be utilized during treatment.
Methods: Acute oral toxicity was performed in Wistar Albino Rats to find out the effects of Arsenicum album in various organs. Rats were divided into three groups: Group A (control), Group B (Arsenicum album 1000μl/100g) and Group C (2000μl/100g). A Single bolus dose of Arsenicum album was given orally and the study period was conducted for 14 d. The rats were subsequently sacrificed on the 15th d and biochemical and histopathological studies were done.
Results: The acute oral toxicity study showed median Lethal dose (LD50) was greater than 2000μl/100g for Arsenicum album. Biochemical analysis showed a significant increase in HDL level in Group C (2000μl/100g) compared to Group A (control) and Group B (1000μl/100g). [P<0.05]. Blood glucose, when compared to Group A (control) is increased in both groups B and C but statistically not significant (p>0.05). When compared to Group A (control) there is no significant change in blood urea level in Groups B and C (p>0.05). Serum creatinine is increased in Groups B and C compared to Group A (control) but statistically not significant (p>0.05). LDL cholesterol is increased in groups B and C compared to Group A (control) but statistically not significant (p>0.05). Macroscopic examination of the organs of Group B and C revealed no abnormalities when compared with the organs of Group A (control). Histopathological analysis showed mild hepatocellular and renal toxicity in Groups B and C with extensive hemorrhages and periportal lymphocytic infiltrates.
The Algebraic Structure of an Implicit Runge-Kutta Type Method
Authors: Muhammad Raihanatu , Oyedeji Abdulmalik
Published: December 2024

Abstract: In this paper, the theory of linear transformation (Homomorphism) and monomorphism is applied to a first-order
Runge-Kutta Type Method illustrated in a Butcher Table and the extended second order Runge- Runge-Kutta type Method to
substantiate their uniform order and error constants obtained. A homomorphism is a mapping from one group to another group
which preserves the group operations. It’s sometimes called the operation preserving function. The methods which initially are
Linear Multistep were reformulated into Runge-Kutta (R-K) Type to establish the advantages the R-K has over Linear Multistep.
The first-order Linear multistep was reformulated into first-order R-K type which was further extended to second order. This
extension can be made to higher order. For this study, the extension was limited to the second order.
A Study on the Automatic IoT Based Multiple Solid Mixing and Product Measurement System
Authors: Suryawanshi Mr. Prayas Dhanaji , Kamble Ms. Poornima Jitendra , Chougule Ms. Sakshi Anil , Mujawar Ms. Nigar Sajjad , Kulkarni Ms. Riddhi Avinash
Published: December 2024

Abstract: This project presents an automated system for mixing multiple solid materials and measuring the final product, using
Internet of Things (IoT) technology. The system automatically mixes different solid ingredients in the right proportions,
ensuring consistency and accuracy. It uses sensors to monitor the mixing process in real-time, sending data to a central control
system that makes adjustments as needed. The system also measures the weight and volume of the final product to ensure it
meets the required specifications. With IoT integration, the system allows remote monitoring, data tracking, and performance
analysis, reducing human error and improving efficiency. This technology is flexible and can be used in industries like food
processing, pharmaceuticals, and chemicals, offering a more precise and automated approach to solid mixing and product
measurement.
AI-Driven Web-Based System for Accurate Brain Tumor Detection, Staging, and Visualization Using CNNs and MRI Scans
Authors: Khandave Aniket , Kukreja Gunjan , Patil Amol , Sonwane Rutuja , Patankar Komal , Chorghade Aditya
Published: December 2024

Abstract: Brain tumors can be attributed as severe problems in the current system of health because of their life endangering
complications and equally challenge some diagnostic methods. This work describes a web-based system using deep learning
labeled convolutional neural networks for brain tumor detection and staging as well as for image visualization. Scans like MRI
scans are uploaded through users control and the system reads these and gives details like tumor size, tumor shape and even
tumor stage. High diagnostic accuracy is achieved due to the development of CNN architectures and segmentation methods,
tumor characteristics are visualized in the form that is convenient for clinical decision-making. To prevent the system from
undergoing a limited learning process and produce highly accurate performance for different patients and tumor types, the
system utilizes multiple MRI dataset that include various types of tumors and their stages. Through disease diagnosis, the
solution attains a classification accuracy of 98.82%, combining artificial intelligence in medical image analysis with actual care
implementation solution, standardized, fast, and efficient. By decreasing radiologists’ load and improving patient care, this
system evidences the values of applying AI in diagnostics.
A Review on Advances in Indian Sign Language Recognition: Techniques, Models, and Applications
Authors: J Ms. Rashmi , Sahani Mr. Saurav , Yadav Mr. Pulkit Kumar
Published: December 2024

Abstract: Sign language serves as a crucial medium of communication for individuals with hearing and speech impairments, yet
it presents barriers for those unfamiliar with its nuances. Recent advancements in artificial intelligence, computer vision, and
deep learning have paved the way for innovative sign language recognition (SLR) systems. This paper provides a comprehensive
survey of cutting-edge approaches to real-time sign language recognition, with a specific focus on Indian Sign Language (ISL).
Various methodologies, including Convolutional Neural Networks (CNNs), Hidden Markov Models (HMMs), and transfer
learning, are explored to evaluate their performance in recognizing static hand poses and dynamic gestures. Systems leveraging
grid-based features, skin color segmentation, and feature extraction techniques such as Histogram of Oriented Gradients (HOG)
are examined for their accuracy and efficiency. Furthermore, the integration of advanced frameworks, including pre-trained
models like ResNet-50 and novel pipelines combining gesture reclassification with text-to-gesture synthesis, is discussed. This
survey emphasizes the role of machine learning models, from Random Forests to state-of-the-art Large Language Models
(LLMs), in addressing linguistic variability and enabling cross-linguistic translations between sign languages. By consolidating
these diverse techniques, this study aims to provide valuable insights into the development of robust, real-time SLR systems that
enhance accessibility, social integration, and inclusivity for the hearing-impaired community.
Hybrid Algorithm Combining Bellman-Ford, Dijkstra, and Machine Learning for Dynamic Network Routing
Authors: Motghare Preshit , Ulekar Gaurav , Biradar Sudarshan , Pandit Prof. Dipti
Published: December 2024

Abstract: Optimizing routing in dynamic networks has emerged as an increasingly important problem today with re- duced
latency, guaranteed connectivity and efficient data trans- fer under a variety of changing conditions. Among the more well
known shortest path algorithms those of Bellman-Ford and Dijkstra’s have very notable advantages and disadvantages
themselves; while Bellman-Ford has provisions against negative weighted edges and pays a penalty in computation, Dijkstra’s
algorithm cannot work with negative weighted edges but is highly efficient. It introduces a new hybrid routing algorithm that
makes intelligent choices between the classical Bellman-Ford and Dijk- stra’s using machine learning techniques. This model,
through historical analysis of data on traffic data and network metrics, predicts the level of congestion and identifies that
algorithm which is most efficient in the selection of a call for routing. It switches over to Bellman-Ford if congestion expectation
is high or if it contains negative weights, whereas under stable network conditions, it employs Dijkstra’s due to its efficiency.
Preliminary experiments reveal that this adaptive strategy optimizes both computation overhead and route selection accuracy in
large scale dynamic networking environments. Our results indicate improvements in routing efficiency in complex networks
based on predictive analytics from established algorithms
Dynamic Analysis of Underground Water Tank Considering Fluid - Structure Interaction
Authors: Rajoriya Shweta , Singh Dr. Raghvendra
Published: December 2024

Abstract: In this research paper the main focus on dynamic analysis of open rectangular underground water tanks, focusing on
the interaction between the fluid stored within and the structural integrity of the tank. In this paper Understanding the dynamic
behavior of these tanks under with different loading scenarios like bending moments, loads, and displacement in water tank
essential for ensuring their stability and safety. This project employs numerical technique to simulate and analyze the fluidstructure interaction (FSI) by using staad pro connect in which we use finite element method in underground water tanks. In
this research we analyze the open rectangular underground water tank of capacity 576000 liter of water tank by using IS code
456 -2000 code for plain and reinforced concrete.
Advanced Machine Learning Approaches for Multi-Class Lung Disease Classification Using Respiratory Acoustics
Authors: Solanki Dr. Prithviraj Singh
Published: December 2024

This study introduces a novel method for the multi-class classification of lung diseases using respiratory sounds. Lung
diseases represent a major global health issue, and early detection is essential for effective treatment and management.
Traditional diagnostic techniques often involve specialized equipment and expertise, which can limit accessibility and increase
costs. In this research, we propose a machine learning-based approach that utilizes respiratory sounds, which can be easily
collected with affordable, non-invasive devices like digital stethoscopes or smartphone apps. Our method involves extracting
features from respiratory sound signals and training machine learning models to classify various lung conditions, including
pneumonia, asthma, chronic obstructive pulmonary disease (COPD), and bronchiectasis. We validate our approach using realworld respiratory sound datasets and evaluate its performance based on accuracy, sensitivity, and specificity. The results
highlight the potential of using respiratory sounds for multi-class lung disease classification, providing an effective solution for
early diagnosis and remote monitoring, especially in resource-constrained environments. This research contributes to the
evolution of digital healthcare technologies, offering significant potential for enhancing respiratory disease management and
improving patient outcomes
Work-Life Balance and Career Advancement: A Dual Perspective
Authors: Bagchi Tadasha
Published: December 2024

Abstract: As organizations increasingly prioritize work-life balance to attract and retain talent, the interplay between work-life
balance and career advancement has become a crucial area of study. This article examines the complex relationship between
maintaining a balanced professional and personal life and advancing in one's career. Through a dual perspective—focusing on
both employees and employers—this study explores how work-life balance influences career progression and how career
ambitions impact work-life balance. The findings reveal that while work-life balance can enhance job satisfaction and reduce
burnout, it may also affect career advancement opportunities. Conversely, career advancement can strain work-life balance but
offer long-term rewards. This article provides insights into balancing these competing demands and offers recommendations for
both employees and employers.
Key to Safety: A Multi-Functional Smart Keychain for Real-Time Women\'s Security
Authors: Chavan Rohini , Habbu Shraddha , Somwanshi Manish , Gurnule Swayam , Mhaske Arti , Chaudhari Vedaang
Published: December 2024

Abstract: The increasing need for women's safety in public areas has provided the base for innovation in creating compact,
efficient personal security tools. This paper explores an intelligent keychain device tailored and designed with a combination of
various defensive and alerting technologies with applications specifically for women's safety. The input involves GPS and GSM
modules integrated with the A9G board. It has a LiPo battery, which is fitted with a push button. A preset alarm would
immediately be sent to contacts in case of emergency. Other hardware installed was the taser for personal defense and a buzzer,
to ensure a sufficiently audible alarm. The system is programmed with information through a USB to TTL converter. The
methodology used here was to couple hardware with software, monitor locations, and communicate real-time information to the
emergency contacts. The GPS/ GSM modules are selected to allow for global coverage, and the push button allows easy usage in
emergencies, so taser modules with a further number of added security features. It is designed to be compact yet cost-effective,
consumer-friendly, and also available with a reduction in power consumption based on an efficient selection of components.
HealthLink: A Decentralized Health Data Management System using Merkle Tree-Based Approach
Authors: Madhikar Sarthak , Jadhav Ranjana , Patil Sushrut , Gambhir Tejas , Manakshe Aman , Jagtap Sahil
Published: December 2024

Abstract: Challenges with health data management in the healthcare industry include security, privacy, and interoperability.
Most traditional centralized systems tend to be insecure, inefficient, and deprive the patient of considerable control over their
personal health record. HealthLink introduces a decentralized approach to the management of health data employing a Merkle
tree-based recovery of these issues. With the application of blockchain technology, HealthLink provides the immutability and
security of data while allowing for its integrity. The Merkle tree-based architecture is used for health record verification in a way
that is both efficient and secure without exhausting the dataset's content. This system makes it possible to have seamless
interoperability among different healthcare providers, thus making health information exchange between them both secure and
efficient. By allowing the patients control over their health data, access permissions are provided on demand, thus incorporating
enhanced privacy and trust. This would thus place the HealthLink method at the forefront of health data management,
providing a robust, secure, and user-centric solution that might be tailored to meet the needs of the healthcare sector as a means
of improving patient care and also reducing the efficiency in managing data
A Review on: CheckMateX
Authors: Bhosale Rutul D. , Waghmare Manav , Lanjewar Ayushi , Sarkhel Priyam , Chapate Prof. Rachna
Published: December 2024

Abstract: Checkmate X is an advanced chess engine designed to provide an engaging and realistic chess experience through
sophisticated algorithms and artificial intelligence. This engine incorporates Minimax with Alpha-Beta Pruning and Recurrent
Convolutional Neural Networks (RCNNs) for efficient move evaluation and adaptive gameplay, catering to players of all levels.
Features like multiplayer functionality, training modes, and customizable AI make Checkmate X a versatile platform for both
competitive play and learning. Our study presents the architecture, algorithms, and performance metrics that underscore the
engine’s effectiveness in delivering human-like strategies and training utilities
Improving Organizational Performance with ISO 9001 QMS Audits
Authors: Walawalkar Amol , Swamy Prof. R. M. , Kuttimarks Dr. M. S.
Published: December 2024

Abstract: The effective implementation of a Quality Management System (QMS) is essential for organizations striving for
excellence and competitiveness, as it significantly enhances overall performance and, in turn, the business's performance. The
effectiveness of QMS is commonly assessed using methods such as management reviews, customer feedback analysis and audits.
Audits that are aligned with ISO standards play a critical role in evaluating management processes, measuring QMS
performance and identifying opportunities for improvement. This study focuses on the importance of QMS audits in improving
organizational performance within the framework of the ISO 9001 standard. Research indicates that many organizations
conduct internal audits using traditional or qualitative methods which are commonly used and, they often fall short in
addressing all the requirements of the ISO 9001 standard. Additionally, these methods heavily depend on the skill and expertise
of the auditor, making them less reliable in evaluating QMS performance comprehensively across different levels of an
organization. This study examines how audit findings are utilized to guide strategic decision-making and encourage a culture of
continuous quality improvement. To overcome the limitations of qualitative methods, a quantitative approach was adopted by
developing a customized, comprehensive web-based audit checklist. This checklist encompasses all aspects of the QMS standard,
along with contractual, statutory, and organizational requirements. The task-based, detailed checklist helps identify gaps in
compliance with objective evidence, enabling management to make well-informed decisions. The study analysed data from 38
projects and 30 functional processes at the head office using web-based statistical tools to assess QMS performance. The results
of the study highlight the importance of adopting robust and systematic audit practices. Such practices maximize the potential of
QMS, contribute to enhanced organizational performance, and help organizations maintain their competitiveness in a dynamic
business environment
Comprehensive CFD Analysis of Hypersonic Missile Nose Cone
Authors: Mathur Sahil , Singh Rahul
Published: December 2024

Abstract: This study employs high-fidelity CFD to analyze a hypersonic missile nose cone's aerodynamics and boundary layer
behavior (Mach > 5, zero angles of attack) under idealized conditions. The simulation leverages ideal gas assumptions for
simplicity while incorporating advanced turbulence models to capture hypersonic flow phenomena. The analysis focuses on
pressure distribution across the nose cone to assess shockwave and streamline curvature effects. Lift and drag forces are
computed to evaluate overall aerodynamic performance. Critically, the investigation delves into the boundary layer, evaluating
parameters like thickness, velocity profile, and potential separation points to understand pressure and temperature variations
crucial for heat transfer and flow stability
Expansão urbana em APAs estaduais: contradições entre os interesses locais e regionais
Authors: Pradella Décio Luiz Pinheiro , Bueno Laura Machado de Mello
Published: December 2024

A institucionalização do planejamento territorial municipal tem forte influência nos processos de aumento do preço da terra, que se torna passível de urbanização por meio da mudança de classificação de rural para urbana de acordo com as leis urbanísticas municipais. A proteção de bens naturais, em especial em áreas metropolitanas, tem sido dificultada pela intensificação dos processos de ampliação territorial de áreas legalmente urbanizáveis. A Serra do Japi, estudo de caso deste artigo em conjunto com áreas do entorno, abrangendo nove municípios, situa-se na Macrometrópole Paulista, no centro da Região Metropolitana de Jundiaí e entre as Regiões Metropolitanas de São Paulo, Campinas e Sorocaba. Reconhecendo sua importância ambiental e paisagística, e visando à proteção de seu maciço florestado e de suas águas, o Governo do Estado de São Paulo criou as APAs (Áreas de Proteção Ambiental) estaduais Jundiaí, Cabreúva e Cajamar, no ano de 1984, abrangendo o maciço e áreas de seu entorno. Além das APAs, o sistema de proteção da Serra do Japi conta com outros instrumentos. Apesar do arcabouço legal de proteção em vigor, há forte pressão sobre seu maciço florestado e em seu entorno em função de sua localização. A área do entorno desse maciço florestado foi objeto de interesse na pesquisa de doutorado que resultou neste artigo, em face da pressão dos processos de urbanização e da probabilidade de transformação da paisagem nessa região. São áreas de fragilidade ambiental, que contam com a presença de ecossistemas relacionados à Serra, a exemplo dos cursos d’água, importantes mananciais de abastecimento público de interesse local e regional. A pesquisa que originou este artigo teve por base a análise da legislação ambiental estadual, da legislação urbanística e dos planos de saneamento dos nove municípios onde se encontra localizado o maciço florestado em questão. Essa base legal foi confrontada com o mapeamento do uso e ocupação do solo atuais. Em um primeiro momento, buscou-se conhecer a legislação urbanística vigente nesses municípios, para mapear a expectativa de ocupação na área de entorno do maciço florestado e do território abrangido pelas bacias hidrográficas de cursos d’água que nascem na Serra do Japi, a fim de identificar como as diretrizes preconizadas pela legislação ambiental estadual se refletem no território e se elas são incorporadas, ou não, pelas leis urbanísticas municipais. Em um segundo momento, foram propostas algumas adequações para o aprimoramento da legislação estadual, para permitir maior controle dos processos de expansão urbana e do aumento populacional pelo órgão gestor da Unidade de Conservação Estadual.
Why Coaching Needs Real Intelligence, Not Artificial Intelligence
Authors: Bachkirova Tatiana
Published: December 2024

The movement of AI into the coaching arena continues to be steady and confident, meeting only rare and timid resistance. The progress of this movement can be explained by decades of technological advances, the entrepreneurial attitude of AI developers, and the inherent peculiarities of the coaching business. The voices of caution are too quiet in ‘the noise of progress’. However, there are important reasons for coaching communities to be apprehensive about the ways this movement could change coaching as a service and what this means for all involved. In this paper, I address potential problematic issues with the AI revolution in the context of a multitude of conceptual holes in coaching as a profession. I argue that dehumanising coaching under the guise of ‘enhancement by AI’ undermines human intelligence, which is desperately needed while the discipline of organisational coaching remains in its early stages of development.
COVID‐19, corporate non-performing loans, and corporate lending dynamics: Evidence from Russian regions
Authors:   HSE University, Moscow, Russian Federation, Popova Polina
Published: December 2024

The COVID‐19 pandemic had a highly negative impact on the corporate sector across many
economies. This study examines the relationship between the spread of the COVID‐19 virus,
the quality of corporate loan portfolios, and the volume of corporate loans in Russian regions. Using cross-regional variation in the number of COVID‐19 cases in Russia from April
2020 to February 2022, we document lower corporate loan portfolio quality among banks
operating in regions with higher COVID‐19 rates, as well as an inverse relationship between
corporate non-performing loans and the volume of corporate loans issued by Russian banks.
We conclude that Russian banks adjusted their credit policy, observing a decrease in the
quality of corporate loan portfolios. We also quantitatively analyze specific business support
measures introduced in Russian regions during the COVID‐19 crisis.
Application of IRT-models to measuring inequality of opportunity in health
Authors:   Institute of Social and Economic Researches of the Ufa Federal Scientific Centre of Russian Academy of Sciences, Ufa, Russian Federation, Frants Marina
Published: December 2024

The research deals with the problems of measuring inequality of opportunity in health. One of the main
difficulties is measuring individual health. To solve the problem, this study proposes synthesizing a quantitative health indicator using IRT-models. We tested this approach on RLMS data. As calculations show, with an increase in the number of health indicators, the assessment of inequality of opportunities in health increases. The maximum level was equal to 20.83%.
Estimating the effect of satisfaction with working conditions on employee health
Authors:   HSE University, Saint-­Petersburg, Russian Federation, Rodionova Tatiana
Published: December 2024

The study investigates the effect of satisfaction with working conditions on health of the Russian working population, disaggregated by gender and age groups. The author uses a copula-based recursive system of binary equations. It allows to account for the endogeneity of working conditions satisfaction and to consider different partial distributions of random errors and their dependence structure as separate tasks. The findings indicate that satisfaction with working conditions plays a protective role in maintaining employee health, with age differentiation in effect size, particularly among male individuals.
Juvenile Criminal Responsibility in Justice Systems: A Comparative Study of Judicial Interpretations in Indonesia and Australia
Authors: Muchtar Syamsuddin , Irwansyah Irwansyah , Yunus Ahsan , Pratiwi Arifin Arnita , Faried Markham
Published: December 2024

This study explores the intersection balance between legal frameworks and customary obligations in the imposition of additional punishment by judges, particularly in the context of juvenile justice in Indonesia. As a normative-legal research, this study employs philosophical, theoretical, and conceptual approaches to examine how juvenile criminal justice systems of Indonesia and Australia, with focus on the Provinces of Bali and West Papua, where indigenous and local knowledge play a significant role in shaping judicial decisions. The findings reveal that Indonesian judges incorporate theological, sociological, and legal considerations when determining juvenile criminal responsibility. By blending community norms with legal principles, they aim to ensure justice that aligns with societal values. This approach underscores the significance of harmonizing legal decisions with local cultural expectations, fostering a restorative justice model that prioritizes rehabilitation over punishment. In contrast, Australia’s juvenile justice system emphasizes formal legal procedures and rehabilitation but does not integrate local cultural norms as extensively as Indonesia. By comparing these two systems, the study provides valuable insights into how legal frameworks can adapt to diverse cultural contexts while upholding universal principles of justice. This research enriches the global discourse on juvenile justice, highlighting Indonesia's experience as a compelling example of a legal system striving for justice through a culturally sensitive and restorative approach.
ANALISIS NILAI COMPUTED TOMOGRAPHY DOSE INDEX (CTDI) PADA PHANTOM KEPALA DI INSTALASI RADIOLOGI RUMAH SAKIT UMUM DAERAH SAYANG RAKYAT MAKASSAR
Authors: Ilham Ilham , Zelviani Sri , Jumardin Jumardin , Bariah Khaerul
Published: December 2024

This research aims to determine the CTDI value on a CT Scan aircraft using  Dose Profiler and to determine the comparison of the CTDI (Computed Tomography Dose Index) value on the surface of each measurement position. The measurement method was carried out by measuring the CT Scan radiation dose with the CTDI value on the phantom using a RaySafe multimeter at a voltage of 130 kV, using a thickness of 10 mm, a time current accuracy of 100 mAs, 200 mAs and 300 mAs. The research results show the dose received on the surface of each type of phantom position with different time current accuracy respectively for a time current of 100 mAs at the center (9.139 mGy), type 1 (9.606 mGy), type 2 (9.170) type 3 (9.221) , and type 4 (9,210). A time current of 200 mAs is found at the center (9,110 mGy), edge 1 (9,578 mGy), edge 2 (9,546 mGy), edge 3 (9,224 mGy), and edge 4 (9,200 mGy). A time current of 300 mAs is found at the center position (18.39 mGy), edge 1 (19.33 mGy), edge 2 (19.18 mGy), edge 3 (18.48 mGy), and 4 (18.51 mGy) . Time-current variations affect the radiation dose that can be received by the phantom and have a linear influence on the CTDIvol value.
ANALISIS DAERAH RAWAN BENCANA LONGSOR DAN KAJIAN MITIGASI BENCANA DI DAERAH LABUHAN MANDI, PESISIR BARAT
Authors: Mauliza Nadia , Rambe Sibgha Alfirdausi , Mulyasari Rahmi , Haerudin Nandi , Dani Ilham
Published: December 2024

Labuhan Mandi adalah salah satu desa di Kecamatan Way Krui, Kabupaten Pesisir Barat, yang berlokasi di perbatasan antara Kabupaten Pesisir Barat dan Lampung Barat. Labuhan Mandi tepat berada pada topografi yang berupa perbukitan, sehingga hal ini menyebabkan daerah Labuhan Mandi cukup sering mengalami bencana tanah longsor. Melihat data Badan Nasional Penanggulangan Bencana (BNPB) di tahun 2024, bencana longsor telah terjadi sebanyak 56 kali kejadian, dengan 53 orang tewas karena bencana longsor. Penelitian ini dilaksanakan untuk mengkaji wilayah-wilayah rawan longsor dengan metode overlay peta faktor-faktor pemicu, serta merumuskan tindakan pencegahan dan mitigasi yang paling tepat untuk diterapkan. Penelitian ini akan dilakukan berbasis dengan metode Sistem Informasi Geografis (SIG), dengan Langkah awal menentukan variabel pengaruh longsor kemudian meng-overlay variable-variabel tersebut hingga menghasilkan peta potensi longsor. Berdasarkan hal tersebut terjadinya longsor pada daerah setempat dipengaruhi oleh kemiringan lereng, tutupan lahan, topografi, curah dan atau intesitas hujan, serta jenis tanah pada daerah setempat. Peta menunjukkan bahwa mayoritas wilayah Desa Labuhan Mandi, melebihi 60%, tergolong dalam zona dengan risiko longsor yang signifikan. Dengan Tingkat kerawanan yang tinggi ini perlu untuk dilakukannya penanggulangan, baik penanggulangan secara terstruktur maupun tidak terstruktur untuk mengurangi kerugian apabila terjadinya bencana tanah longsor.
PETROGRAPHY OF PYROCLASTIC ROCK MOUNT MASURAI JAMBI PROVINCE
Authors: Kirana Febiyora Chandra , Nuriil Tadersi Risnaliyah , Hasbullah Andrea , Siregar Anggi Deliana , Ritonga D.M Magdalena , Utama Hari Wiki , Misnawati Misnawati
Published: December 2024

The magmatic arc of Sumatra Island, which is indicated by the presence of the Barisan Mountains zone on the west side of Sumatra Island with a general direction northwest - southeast, makes Mount Masurai, which is administratively in Merangin Regency, Jambi Province, become one of the volcanoes on Sumatra Island. Geographically, the peak of Mount Masurai is located at coordinates 101o 51' 28.60" E and 2o 30' 09.19" S with an elevation 2915 masl. The eruption period of Mount Masurai is estimated to have occurred twice during the eruption period. Based on the lack of information about volcanoes, this research was conducted to determine the characteristic and distribution of pyroclastics from Mount Masurai. In the area around Mount Masurai, remnants of volcanic eruptions were found, in the form of pyroclastic flows and falls. From data collection based on the results of geological mapping and petrographic analysis, pyroclastic rocks were found in the area around Mount Masurai with lithology in the form of Andesite Breccia, Laharic Breccia Pumice Breccia, Lapilli stone and Tuff. This is reinforced by the results of petrographic analysis of rock samples which are dominated by the presence of a glass