bluuebunny/crossref_metadata_2025 huggingface dataset:
Association between Internet Game Addiction and Social Anxiety Symptoms among Adolescents in the Kingdom of Saudi Arabia
Authors: Alhujaili Naseem Abdulmohi , Alsubaie Basel , Alzahrani Saleh , Aljahdali Faisal , Alghamdi Waleed Ahmed , Almatrafi Maher Mohammed , Alghamdi Abdulaziz Abdullah
Published: October 2024

Background:

Internet Gaming Addiction (IGA) can have a significant
impact on the characteristics of individual gamers and may even be a contributing
factor to the development of social anxiety symptoms. This study of adolescent
Saudi Arabian Internet gamers examined the influences of Internet gaming time
and probable Internet Gaming Disorders (IGDs). It investigated the association
between Internet game addiction and social anxiety symptoms among them.

Methodology:

The cross-sectional survey was conducted from March to June of
2023 among adolescents in the Saudi population. Probable IGD was measured by
using the DSM-5 checklist, and the Arabic version of the Social Phobia Inventory
(SPIN) was used to evaluate social phobia or anxiety.

Result:

A total of 764 participants enrolled in the current study, 52% of whom
were females, and 48% were males. 42% belonged to the age group 17-18, and
38% were 15-16. 44.8% of participants have a gaming addiction. There was a
significant association between social phobia and gaming addiction (p-value
≤0.05). There was a significant association of social phobia with age and gender
(p-value≤0.05).

Conclusion:

The findings imply a significant correlation between IGA and
psychological concerns, particularly among male adolescents. Excessive internet
gaming use leads to higher levels of social anxiety.
Evaluation of the Effect of Vaccination Status on Lung Involvement and Hospitalization in COVID-19 Patients
Authors: Akin Ali , Safi Yılmaz , Bektaş Nilay Elif , Demir Hüseyin Avni
Published: October 2024

Background:

The spectrum of COVID-19 in adults ranges from asymptomatic infection
to mild respiratory tract symptoms to severe pneumonia with acute respiratory distress syndrome
(ARDS) and multiorgan dysfunction. In our study, it was aimed to investigate the effects of COVID-
19 vaccine on lung involvement and hospitalization.

Materials and Methods:

Cases over the age of 18, who had a history of contact with cases infected
with COVID-19 or had clinical findings suggestive of COVID-19, who applied to the emergency
department and who were diagnosed with COVID-19 by reverse-transcriptase-polymerase chain
reaction (RT-PCR) were included in the study. Age, gender, comorbid diseases, hospitalization status,
thorax tomography findings, and vaccination status in the last 3 months of the patients included
in the study were obtained by examining the hospital information system and patient files.

Results:

Our study included 496 patients. One hundred eighty-three of the cases were vaccinated and
42.6% (n = 78) of the vaccinated patients were male. Of the 313 unvaccinated patients, 36% (n =
113) were male. Comorbid disease was observed in 55.2% (n = 101) of the vaccinated patients and
38.7% (n = 121) of the unvaccinated patients. Of the 313 unvaccinated patients, 72.2% (n = 226)
were discharged from the emergency department, 19.8% (n = 62) were admitted to the service, and
8% (n = 25) were admitted to the intensive care unit. Of the 183 vaccinated patients, 78.1% (n = 143)
were discharged from the emergency department, 16.4% (n = 30) were admitted to the service, and
5.5% (n = 10) were admitted to the intensive care unit. In the vaccinated patient group, both the service
admission rate and the intensive care hospitalization rate were found to be significantly lower
than the non-vaccinated patient group (p < 0.05). Thoracic tomography findings of 32.9% (n = 103)
of 313 unvaccinated patients were reported as CORADS 1-2-3, and thoracic tomography of the remaining
210 patients was reported as CORADS 4-5. The number of patients whose thorax tomography
report was CORADS 4-5 was found to be significantly higher in the unvaccinated group than in
the vaccinated group (p < 0.05).

Conclusion:

In our study, it was found that vaccination significantly reduced hospitalization in
COVID-19 patients. Although the mean age was higher in the vaccinated patient group, both the
service admission rate and the intensive care admission rate were found to be lower.
Effect of Diet and Dietary Patterns on the Progression of Multiple Sclerosis: A Review
Authors: AlAmmar Welayah , Goja Arafat , Khattab Rabie
Published: October 2024

The link between diet and the progression of Multiple Sclerosis (MS) is a topic of growing interest and investigation within the medical community. This review explored the mechanisms through which dietary interventions can impact the course of MS and shape the clinical outcomes and quality of life of individuals with the disease. By synthesizing current knowledge from clinical studies and observational research, the review aimed to provide in-sights into the role of diet in managing MS. A comprehensive literature search was conducted, focusing on the effect of diet and dietary patterns on the progression of MS. Key findings indicated that individuals with higher diet quality exhibit reduced disability levels and lower symptom severity, emphasizing the importance of maintaining a healthy diet and adopting a holistic, healthy lifestyle in managing MS. The review also delved into the potential impact of macronutrients, vitamins, and minerals on the progression of MS, highlighting the im-portance of adequate nutrient intake for optimal health outcomes. Additionally, the study explored the association between dietary intake variations and the severity of MS, suggesting that further investigation is needed to understand the potential implications of nutrient defi-ciencies in MS patients. Overall, the review serves as a valuable resource for healthcare pro-fessionals and individuals living with MS, providing evidence-based dietary approaches that may help optimize health outcomes and mitigate the burden of the disease. It also calls for future research directions in the critical area of dietary management of MS to enhance our understanding and improve patient care.
Percepción de ciberbullying en estudiantes de pregrado de la Universidad Nacional de Ingeniería, Lima-Perú, 2020
Authors: Acevedo Rojas Elba Sissi , Cabrera Millán Yenny Desiret
Published: October 2024

El ciberbullying se define como una modalidad de violencia entre pares que se manifiesta mediante el empleo de las tecnologías de la información y la comunicación (TIC). La creencia previa de que los casos de bullying disminuían a medida que las personas maduraban ha sido cuestionada por investigaciones que demuestran la persistencia de esta problemática en el ámbito universitario. De hecho, se ha observado un aumento constante de estos incidentes, en gran parte debido a la aparición de una plataforma de manifestación más eficaz: las redes sociales. Este estudio es transversal y de tipo exploratorio-descriptivo, tiene como objetivo analizar la prevalencia de las víctimas, la frecuencia de las agresiones y la observación de conductas violentas que se dan a través de los medios digitales. La muestra fue no probabilística y la conformaron 374 estudiantes universitarios. El instrumento trabajado fue ad hoc y tuvo como consistencia interna, un Alfa de Cronbach de 0.903, además de su validez de contenido mediante juicio de expertos. Los resultados señalaron que los estudiantes hombres son frecuentemente agresores y usan diversas modalidades para su fin. Por otro lado, las mujeres, en su mayoría, suelen ser víctimas. De cada 100 universitarios, 14 son agresores, 29 son víctimas y 62 espectadores de manera recurrente. Este estudio contiene datos relevantes y novedosos con el fin de identificar la magnitud de esta problemática.
Modelos semi-Márkov para la evaluación del tiempo, lugar, magnitud y profundidad de los sismos ocurridos en el sur del Perú 2023
Authors: Risco Franco Carlos , Payano Mendez Marlene Angela , Rios Nima Joel Salomon
Published: October 2024

El Perú se sitúa en la región sísmica del Pacífico Sur y experimenta con frecuencia sismos significativos. Entre los eventos más relevantes se encuentran el sismo de 8.4 grados de magnitud ocurrido en Arequipa en el año 2001, el sismo de magnitud 7.9 en Ica en agosto de 2007 y nuevamente un sismo de magnitud 6.3 en Arequipa en julio de 2017. Estos eventos subrayan la necesidad de realizar estudios de riesgo sísmico en la región.
Este estudio es de tipo descriptivo y correlacional, con un diseño transversal, cuyo objetivo es identificar las áreas en el sur del Perú con mayor riesgo de experimentar sismos de alta magnitud. Los datos provienen del Instituto Geofísico del Perú y abarcan el periodo de 1960 a 2023, analizando sismos con magnitud igual o superior a 5.5 Mw. Se aplicó la metodología de (Sadeghian, 2012), basada en el modelo semi-Márkov, para predecir tiempo y ubicación de eventos sísmicos, extendiendo este modelo también a los estados de la profundidad. Se destacan las zonas de Pisco-Ica y Chala-Atico como las de mayor riesgo para la ocurrencia de sismos de gran magnitud.
New trends in the home logistics management model in urban contexts
Authors: Gutiérrez Echeverría Rocío Esmeralda , González Ali Pedro Gustavo , Severiche Sierra Carlos Alberto
Published: October 2024

With the majority of goods delivered ending up in city centers, last mile logistics is known to be the least efficient stage of the supply chain, comprising up to 28% of the total delivery cost. The main objective was to determine how the use of autonomous transportation technologies changes the home logistics management model. Positivist paradigm research, with quantitative method and descriptive-correlational approach, field research and non-experimental-transversal design. The sample was 28 courier companies, with at least one year of experience and a plant that includes at least five (5) full-time workers. The survey technique is used, using a collection instrument with a Likert-type scale. The results suggest that in general terms, the dimension that characterizes the state of implementability of new trends in the package logistics management model is present in this study. In the current context, companies are not yet at the maximum point of possibilities in terms of the implementation of new trends, if there is a will of the union to adapt every component that supports or optimizes the operation, for which there is a margin of opportunity . for the adaptation of these in the local context.
APPLICATION OF TEACHING LEARNING BASED OPTIMIZATION IN MULTILEVEL IMAGE THRESHOLDING
Authors:   Annamalai University, S Anbazhagan
Published: October 2024

This paper proposes a Teaching learning-based optimization (TLBO) algorithm for the multilevel image thresholding using Kapur entropy. In image processing, the thresholding arises to help medical imaging, detection, and recognition in making an informed decision about the image. However, they are computationally expensive reaching out to multilevel thresholding since they thoroughly search the optimal thresholds to enhance the fitness functions. In order to validate the chaotic characteristic of multilevel thresholding, a TLBO algorithm is modeled. The proposed model is an algorithm-specific, parameterless algorithm that does not require any algorithm-specific parameters to be controlled by maximizing the Kapur entropy of various classes for image thresholding. The proposed model is compared with recent algorithms to threshold the seven standard benchmark and three test images. The simulation results have higher fitness function values even with the increase of the threshold number with less computation time. The Jaccard measure values are close to 0.99.
RECOGNIZING TAMIL PALM-LEAF MANUSCRIPT CHARACTERS USING HYBRIDIZED HUMAN PERCEPTION BASED FEATURES
Authors:   Sona College of Technology, India, Eswaran Paramasivam Muthan , Manib Dinesh ,   Sona College of Technology, India, Savarimuthu Sabeenian Royappan ,   Sona College of Technology, India
Published: October 2024

The paper presents a new Convolutional Neural Network (CNN) architecture, called stacked stereo CNN, for computing disparity map from stereo images. In stacked stereo CNN, left and right image patches are stacked back-to-back and fed to a single tower CNN. This is in contrast to Siamese network where two towers are used, one for the left patch and other for the right patch. The proposed network is trained on a large set of similar and dissimilar image patches, which are generated from stereo images and their ground truth images from Middlebury stereo datasets. The network returns a dissimilarity score for a pair of image patch which is used to compute the cost volume. The cost volume is further refined using post processing steps before generating the final disparity map. The proposed network is evaluated on Middlebury datasets and achieves comparable results to the state-of-art algorithms.
A NOVEL 3-LEVEL DWT AND CNN-BASED BLIND GRAYSCALE IMAGE WATERMARKING FOR COPYRIGHT PROTECTION AGAINST ADVERSARIAL ATTACKS
Authors:   Sri Sathya Sai Institute of Higher Learning, India, Sharma Sai Shyam , Chandrasekaran Venkatachalam ,   Sri Sathya Sai Institute of Higher Learning, India
Published: October 2024

Copyright protection of digital images is an important commercial requirement to individual artists and large organisations alike. Wavelet-based image watermarking methods have been in practice due to their robustness against standard geometrical and image processing attacks. Convolutional Neural Networks (CNNs)-based watermarking methods are becoming popular as they provide a new dimension to the generation of a watermarked image, which is perceptually close to the original image when trained over a large class of images, thereby eliminating the need to train on each image that is to be watermarked. However, the watermark extraction performance of CNNs when used in standalone mode reduces in the presence of adversarial examples. In this study, we combine the robustness of a multi-level Discrete Wavelet Transform (DWT) and the power of CNNs and propose a robust blind grayscale image watermarking method. In the proposed method watermark is of the same size as the original image thereby demonstrating the robustness under increased payload as well. The quality of the extracted watermark is measured using Structural Similarity Index Measure (SSIM), Peak-Signal-to-Noise ratio (PSNR) and Normalized Cross Correlation (NCC). Our proposed method provides high quality watermark extraction under geometrical, image processing and adversarial attacks including second watermarking by an attacker.
CNN TRANSFER LEARNING FOR DETECTION, COUNTING AND SEGMENTATION OF COCONUT PALMS FROM SATELLITE IMAGES
Authors:   Indian Space Research Organisation - Dehradun, India, D Gholba Niranjan , Agrawal Shefali ,   Indian Space Research Organisation - Dehradun, India, Babu Arun ,   Indian Space Research Organisation - Dehradun, India
Published: October 2024

Several Free and Open Source (FOSS) tools use Neural Networks for detection of objects from images and videos captured from hand-held imaging devices. Satellite based Remote Sensing images offer wide area coverage and hold potential for detecting, counting and mapping manmade objects, trees, etc., but, have embedded geospatial information and often have more than three bands. Hence, the existing FOSS tools are not able to directly process Remote Sensing images for Computer Vision (CV) applications. This research aims to devise a methodology to adapt a FOSS CV tool, namely the TensorFlow Object Detection (TFOD) API, for detection, counting and segmentation of coconut palms from satellite images and ascertain if the technique can facilitate automated census of coconut palms. Dataset of coconut palm crowns was custom-created using multi-band images from World View-3 satellite. The images were pan-sharpened, cropped and labelled. SSDLite MobileNet V2 CNN, which was pre-trained on COCO dataset, was subjected to transfer learning using coconut data on Tesla K80x GPU. This re-trained CNN could successfully detect and count coconut palms with F-1 score more than 96 %. Histogram thresholds were used to segment and delineate each detected coconut palm crown with 87 % accuracy. Assessment of relative health status of coconut palms was mapped using the Normalised Difference Red-Edge Index derived from satellite images. This study demonstrated that TFOD API can indeed be adapted for object detection and segmentation from Remote Sensing images, albeit with some limitations.
CO-CURING NOISY ANNOTATIONS FOR FACIAL EXPRESSION RECOGNITION
Authors:   Sri Sathya Sai Institute of Higher Learning, India, Gera Darshan , S Balasubramanian ,   Sri Sathya Sai Institute of Higher Learning, India
Published: October 2024

Driven by the advancement in technology that can facilitate implementation of deep neural networks (DNNs), and due to the availability of large scale datasets, automatic recognition performance of the machines has increased by leaps and bounds. This is also true with regard to facial expression recognition (FER) wherein the machine automatically classifies a given facial image in to one of the basic expressions. However, annotations of large scale datasets in FER suffer from noise due to various factors like crowd sourcing, automatic labelling based on key word search etc. Such noisy annotations impede the performance of FER due to the memorization ability of DNNs. To address it, this paper proposes a learning algorithm called Co-curing: peer training of two joint networks using a supervision loss and a mimicry loss that are balanced dynamically, and supplemented with a relabeling module to correct the noisy annotations. Specifically, peer networks are trained independently using supervision loss during early part of the training. As training progresses, mimicry loss is given higher weightage to bring consensus between the two networks. Our Cocuring does not need to know the noise rate. Samples with wrong annotations are relabeled based on the agreement of peer networks. Experiments on synthetic as well real world noisy datasets validate the effectiveness of our method. State-of-the-art (SOTA) results on benchmark in-the-wild FER datasets like RAF-DB (89.70%), FERPlus (89.6%) and AffectNet (61.7%) are reported.
A COMPARATIVE STUDY OF MEDIAN BASED IMPULSE NOISE REDUCTION METHODS FOR COLOR IMAGES
Authors:   National Institute of Technology, Kurukshetra, India, A Ashpreet , Biswas Mantosh ,   National Institute of Technology, Kurukshetra, India
Published: October 2024

With the explosion in the number of digital images taken every day, there is a growing demand for more precise and visually appealing images. Images captured by modern cameras, on the other hand, are eventually ruined by noise, which contributes to a reduction in visual image quality. Impulse noise is one of noise as white and black dispersed pixels that can be found in both gray and color images. The impulse noise model is comprised of Salt and Pepper (SAP) noise and random valued impulse noise (RVIN). So far, a lot of impulse denoising methods have been developed for the images (both gray and color). This article provides a comparative study of impulse noise reduction methods applied to color images wherein impulse noise reduction methods are studied with regard to their performance on color images and a thorough comparison is also carried out to cover all of the denoising methods in detail as well as the results they produce. These methods are contrasted with their functionality, relative performance and time complexity. Extensive simulations have been conducted on a set of standard images for performance evaluation of various denoising methods with regard to PSNR, SSIM and NMSE quality metrics.
SWARM INTELLIGENCE APPROACH FOR LOAD BALANCING IN DISTRIBUTED COMPUTING SYSTEMS USING FIREFLY ALGORITHM
Authors:   Kalaignarkarunanidhi Institute of Technology, India, R Gowrishankar , B Senthilkumar ,   Kalaignarkarunanidhi Institute of Technology, India, E Jananandhini ,   P. A. College of Engineering and Technology, India, Ramasamy Dhivya ,   M. Kumarasamy College of Engineering, India
Published: October 2024

Load balancing in distributed computing systems is crucial for optimal resource utilization and performance enhancement. Swarm intelligence algorithms offer promising solutions due to their ability to mimic collective behavior observed in nature. This study proposes a novel approach for load balancing using the Firefly Algorithm, a bio-inspired optimization technique based on the flashing behavior of fireflies. The algorithm is applied to dynamically distribute tasks among nodes in a distributed computing environment. The contribution lies in adapting the Firefly Algorithm specifically for load balancing purposes in distributed computing systems. The study explores the effectiveness of this approach in improving system performance and resource utilization. Experimental evaluations demonstrate the efficacy of the proposed approach in achieving load balancing objectives. The Firefly Algorithm effectively redistributes tasks among nodes, reducing processing delays and improving overall system efficiency. Comparative analysis against existing methods showcases the superiority of the proposed approach in various performance metrics.
YIELD PREDICTION SYSTEM – A SYSTEMATIC APPROACH FOR PREDICTING AGRICULTURAL COMMODITY
Authors:   Srinivas University, India, K Vikranth , Prasad K. Krishna ,   Srinivas University, India
Published: October 2024

In India, the agriculture is main profession for more than sixty percent of the population. The stakeholders of agriculture in India, facing plenty of problems that leads the people of the country to shift their profession and lets them migrate towards urban area. So, need of implementing technology in agriculture is must in future days because as population is increasing in exponential form as the result huge requirement of food and agricultural product. The data analytics will play a significant role in agricultural dataset for implementing prediction and recommendation system in the sector. Yield is one of the factors to be considered in the agriculture that determines the wellness and prosperity of the farmer. In this paper deals with prediction system to predict yield of areca nut product in Puttur taluk, Dakshin Kannda District, Karnataka state in India. The time series data analytics model known as Auto Regressive Integrated Moving Average (ARIMA) model is used for yield prediction system. The research is mainly focused on forecasting of areca nut production for next four or five years in Puttur taluk. It compares various ARIMA models with performance criteria and selects best model for prediction purpose. The diagnostic check is carried out to test the system performance After the prediction, then the actual values and predicted values are compared and presented in the form graphical representation.
CLUSTERING OF MULTI-MODAL DATASET USING ENSEMBLE DENSENETS FOR EARLY MILD COGNITIVE IMPAIRMENT
Authors:   Dr. N.G.P. Institute of Technology, India, A.S. Shanthi
Published: October 2024

Early Mild Cognitive Impairment (EMCI) is a transitional phase between normal cognition (NC) and Alzheimer’s disease. Accurate detection of EMCI can be challenging due to its subtle manifestations. Traditional methods often struggle to differentiate EMCI from NC using neuropsychological tests alone, necessitating advanced techniques for effective classification. We employed Ensemble DenseNets to cluster a multi-modal dataset comprising neuropsychological tests and clinical data. Generalized Estimating Equations (GEE) were used to analyze changes over time across various cognitive tests. Our model demonstrated significant findings: MMSE showed a time effect (ß = 0.151, p = 0.01) with a notable decline in EMCI compared to NC (ß = -0.299, p = 0.001). STM also showed significant results (time ß = 0.105, p < 0.001). In the CVVLT total recall test, a time effect (ß = 1.263, p < 0.001) and a decline in EMCI (ß = - 0.510, p = 0.003) were observed. The method effectively clustered EMCI with a high degree of accuracy, showcasing the robustness of Ensemble DenseNets for early detection.
Uncovering the Top Nonadvertising Weight Loss Websites on Google: A Data-Mining Approach
Authors: Almenara Carlos A , Gulec Hayriye
Published: October 2024

Background

Online weight loss information is commonly sought by internet users, and it may impact their health decisions and behaviors. Previous studies examined a limited number of Google search queries and relied on manual approaches to retrieve online weight loss websites.

Objective

This study aimed to identify and describe the characteristics of the top weight loss websites on Google.

Methods

This study gathered 432 Google search queries collected from Google autocomplete suggestions, “People Also Ask” featured questions, and Google Trends data. A data-mining software tool was developed to retrieve the search results automatically, setting English and the United States as the default criteria for language and location, respectively. Domain classification and evaluation technologies were used to categorize the websites according to their content and determine their risk of cyberattack. In addition, the top 5 most frequent websites in nonadvertising (ie, nonsponsored) search results were inspected for quality.

Results

The results revealed that the top 5 nonadvertising websites were healthline.com, webmd.com, verywellfit.com, mayoclinic.org, and womenshealthmag.com. All provided accuracy statements and author credentials. The domain categorization taxonomy yielded a total of 101 unique categories. After grouping the websites that appeared less than 5 times, the most frequent categories involved “Health” (104/623, 16.69%), “Personal Pages and Blogs” (91/623, 14.61%), “Nutrition and Diet” (48/623, 7.7%), and “Exercise” (34/623, 5.46%). The risk of being a victim of a cyberattack was low.

Conclusions

The findings suggested that while quality information is accessible, users may still encounter less reliable content among various online resources. Therefore, better tools and methods are needed to guide users toward trustworthy weight loss information.
Reliability and Accuracy of the Fitbit Charge 4 Photoplethysmography Heart Rate Sensor in Ecological Conditions: Validation Study
Authors: Ceugniez Maxime , Devanne Hervé , Hermand Eric
Published: October 2024

Background

Wrist-worn photoplethysmography (PPG) sensors allow for continuous heart rate (HR) measurement without the inconveniences of wearing a chest belt. Although green light PPG technology reduces HR measurement motion artifacts, only a limited number of studies have investigated the reliability and accuracy of wearables in non–laboratory-controlled conditions with actual specific and various physical activity movements.

Objective

The purpose of this study was to (1) assess the reliability and accuracy of the PPG-based HR sensor of the Fitbit Charge 4 (FC4) in ecological conditions and (2) quantify the potential variability caused by the nature of activities.

Methods

We collected HR data from participants who performed badminton, tennis, orienteering running, running, cycling, and soccer while simultaneously wearing the FC4 and the Polar H10 chest belt (criterion sensor). Skin tone was assessed with the Fitzpatrick Skin Scale. Once data from the FC4 and criterion data were synchronized, accuracy and reliability analyses were performed, using intraclass correlation coefficients (ICCs), Lin concordance correlation coefficients (CCCs), mean absolute percentage errors (MAPEs), and Bland-Altman tests. A linear univariate model was also used to evaluate the effect of skin tone on bias. All analyses were stratified by activity and pooled activity types (racket sports and running sports).

Results

A total of 77.5 hours of HR recordings from 26 participants (age: mean 21.1, SD 5.8 years) were analyzed. The highest reliability was found for running sports, with ICCs and CCCs of 0.90 and 0.99 for running and 0.80 and 0.93 for orienteering running, respectively, whereas the ICCs and CCCs were 0.37 and 0.78, 0.42 and 0.88, 0.65 and 0.97, and 0.49 and 0.81 for badminton, tennis, cycling, and soccer, respectively. We found the highest accuracy for running (bias: 0.1 beats per minute [bpm]; MAPE 1.2%, SD 4.6%) and the lowest for badminton (bias: −16.5 bpm; MAPE 16.2%, SD 14.4%) and soccer (bias: −16.5 bpm; MAPE 17.5%, SD 20.8%). Limit of agreement (LOA) width and artifact rate followed the same trend. No effect of skin tone was observed on bias.

Conclusions

LOA width, bias, and MAPE results found for racket sports and soccer suggest a high sensitivity to motion artifacts for activities that involve “sharp” and random arm movements. In this study, we did not measure arm motion, which limits our results. However, whereas individuals might benefit from using the FC4 for casual training in aerobic sports, we cannot recommend the use of the FC4 for specific purposes requiring high reliability and accuracy, such as research purposes.
Capabilities for Using Telemonitoring in Physiotherapy Treatment: Exploratory Qualitative Study
Authors: van Westerhuis Charlotte , Sanders Astrid F , Aarden Jesse J , Major Mel E , de Leeuwerk Marijke E , Florisson Nadine , Wijbenga Miriam H , van der Schaaf Marike , van der Leeden Marike , van Egmond Maarten A
Published: October 2024

Background

Telemonitoring (TM), as part of telehealth, allows physiotherapists to monitor and coach their patients using remotely collected data. The use of TM requires a different approach compared with face-to-face treatment. Although a telehealth capability framework exists for health care professionals, it remains unclear what specific capabilities are required to use TM during physiotherapy treatments.

Objective

This study aims to identify the capabilities required to use TM in physiotherapy treatment.

Methods

An exploratory qualitative study was conducted following a constructivist semistructured grounded theory approach. Three heterogeneous focus groups were conducted with 15 lecturers of the School of Physiotherapy (Bachelor of Science Physiotherapy program) from the Amsterdam University of Applied Sciences. Focus group discussions were audiotaped and transcribed verbatim. Capabilities for using TM in physiotherapy treatment were identified during an iterative process of data collection and analysis, based on an existing framework with 4 different domains. Team discussions supported further conceptualization of the findings.

Results

Sixteen capabilities for the use of TM in physiotherapy treatment were found addressing 3 different domains. Four capabilities were identified in the “digital health technologies, systems, and policies” domain, 7 capabilities in the “clinical practice and application” domain, and 5 capabilities in the “data analysis and knowledge creation” domain. No capabilities were identified in the “system and technology implementation” domain.

Conclusions

The use of TM in physiotherapy treatment requires specific skills from physiotherapists. To best use TM in physiotherapy treatment, it is important to integrate these capabilities into the education of current and future physiotherapists.
Oncology Clinicians' Perspectives of a Remote Patient Monitoring Program: Multi-Modal Case Study Approach
Authors: Mazzella-Ebstein Ann Marie , Daly Robert , Huang Jennie , Bernal Camila , Wilhelm Clare , Panageas Katherine S , Holland Jessie , Salvaggio Rori , Ackerman Jill , Cracchiolo Jennifer , Kuperman Gilad , Mao Jun , Begue Aaron , Barton-Burke Margaret
Published: October 2024

Background

Remote patient monitoring (RPM) aims to improve patient access to care and communication with clinical providers. Overall, understanding the usability of RPM applications and their influence on clinical care workflows is limited from the perspectives of clinician end users at a cancer center in the Northeastern United States.

Objective

This study aims to explore the usability and functionality of RPM and elicit the perceptions and experiences of oncology clinicians using RPM for oncology patients after hospital discharge.

Methods

The sample included 30 of 98 clinicians (31% response rate) managing at least 5 patients in the RPM program and responding to the mHealth usability between March 2021 and October 2021. Overall, clinicians responded positively to the survey. Item responses with the highest proportion of disagreement were explored further. A nested sample of 5 clinicians who responded to the study survey (30% response rate) participated in interview sessions conducted from November 2021 to February 2022, averaging 60 minutes each.

Results

Survey responses highlighted that RPM was easy to use and learn and verified symptom alerts during follow-up phone calls. Areas to improve identified practice changes from reporting RPM alerts through digital portals and its influence on clinicians’ workload burden. Interview sessions revealed 3 main themes: clinician understanding and usability constraints, patient constraints, and suggestions for improving the program. Subthemes for each theme were explored, characterizing technical and functional limitations that could be addressed to enhance efficiency, workflow, and user experience.

Conclusions

Clinicians support the value of RPM for improving symptom management and engaging with providers. Improvements to address RPM challenges include functional changes to enhance the program’s utility, such as input from patients about temporal changes in their symptoms and technical resources for home monitoring devices.
Research Trends of CV23 Electroacupuncture: A Literature Review Focusing on PubMed and Domestic Studies
Authors: Yoon Chae-Rim , Choi Su-Hyun , Jeong Nahyun , Jeong Dahee , Sim Yoohyun , Jeong Hae-in , Ha Na-Yeon , Kim Jinsung
Published: October 2024

Objectives: The purpose of this study was to analyze the research trends of electroacupuncture (EA) at CV23.Methods: Studies published until July 2024 were searched on PubMed and domestic databases (OASIS, ScienceON, RISS, KISS, KCI, KMbase, and DBpia) using the keywords “CV23”, “lianquan”, “electroacupuncture”, “염천”, “전침”, and “전기자극”.Results: A total of 16 studies were selected. There were 6 randomized controlled trials, 1 case report, and 9 experimental studies. Of the 16 papers selected, 15 examined the effect of EA at CV23 on improving swallowing function. Clinical studies found that EA at CV23 was effective in improving dysphagia, aphasia, and drooling symptoms through mechanisms such as increased hyolaryngeal movement, normalization of pathologically elevated NO, ET, and improvement of excitement of the swallowing motor cortex. According to experimental studies, EA at CV23 activates the brain region associated with swallowing function, promotes the swallowing reflex by increasing neurotransmitters, improves electromyography of the swallowing muscles, and improves blood flow around CV23.Conclusion: Electroacupuncture at CV23 may be an effective and safe method for post-stroke dysphagia, post-stroke aphasia, and post-stroke drooling. In the future, research should be conducted in different diseases and high-quality studies should be conducted.
Comparative Analysis of Liver Enzyme Changes Before and After Korean Medicine Treatment in People with Obesity: A Retrospective, Multicenter, Observational Study
Authors: Son Ji-young , Shin Su-yong , Kim Jung-sang , Kang Min-whee , Lee Dong-hun , Jeon Seong-hyeon , Kim Jun-ho , Choi Seung-yeon , Kim Chung-hee , Kang Byung-soo , Bang Min-woo
Published: October 2024

This retrospective, multicenter, observational study aimed to evaluate the effects of herbal medicine treatment on liver function in obese patients exhibiting elevated liver enzymes. Conducted from May 2023 to April 2024 at various Korean medicine clinics, the study included 84 patients who underwent herbal treatments for obesity. All participants had at least one liver function test (LFT) showing elevated levels of aspartic amino transferase (AST), alanine amino transferase (ALT), or gamma glutamyl transferase (GGT), and a subsequent LFT performed after a minimum of 90 days. The study excluded patients with potential confounding factors such as hepatitis, antibiotic usage, or recent surgeries.
The study showed significant reductions in AST, ALT, and GGT levels, with AST and ALT improving to within the normal range and GGT approaching normal levels. Patients also experienced statistically significant reductions in weight and BMI, meeting the minimum clinically important difference threshold.
These findings suggest that herbal treatments for obesity are not only safe for patients with obesity-related liver enzyme abnormalities but also effective in improving liver function. This study shows that herbal treatment is effective in the management of obesity-related liver disease and confirms the safety and efficacy of an obesity treatment herbal formula containing ephedra. Larger prospective studies are needed to confirm these findings.
PESQUISAS CLÍNICAS EM ABORDAGEM CENTRADA NA PESSOA NO BRASIL: Revisão sistemática
Authors: Pinheiro Raquel Fernandes , Branco Paulo Coelho Castelo
Published: October 2024

This article aimed to realize a systematic review of Brazilian clinical research productions in person-centered approach. The study was carried out in the PePSIC, SciELO and CAPES Repository (Dissertations and Theses) databases, among 2014-2024. Thirty-two bibliographic samples were obtained: read according to title, abstract, keywords and methodology; categorized according to year of publication, journal (in the case of an article) or institution (in the case of a dissertation/thesis), authorship, institutional affiliation, region, objective, area of knowledge, theme, type of research, method employed. The results were: 2021 and 2022 as the most productive years; UFMT as the institution with the highest research productivity; NUFEN’s Journal as the periodical that published the most articles; Central-West region concentrated the largest productions numbers; there are no productivity figures; clinical themes were the most frequent, followed by health/extended clinical themes; predominance of empirical articles; unstructured interview and meaning version as predominant methodological data collection resources, and empirical phenomenological method as the most recurrent analytical resource. It is concluded that it is necessary to invest in other clinical research procedures that go beyond the classic qualitative approaches mentioned.
SIGNIFICADO DO DINHEIRO PARA ESTUDANTES: UMA PESQUISA BIBLIOGRÁFICA
Authors: Vieira da Rosa Vitória , Munz Fernandes Alice
Published: October 2024

O dinheiro desempenha um papel fundamental na vida das pessoas, pois permite adquirir de itens que atendem a necessidades básicas até bens que proporcionam felicidade e prazer. Nesse sentido, o estudo realizado teve como objetivo analisar o significado do dinheiro para estudantes, uma vez que representações sociais evidenciam que o ato de estudar tende a estar relacionado com o objetivo financeiro de ganhar dinheiro. Para tanto, desenvolveu-se uma pesquisa qualitativa e exploratória realizada de maneira bibiográfica. Para a seleção do material de investigação consideraram-se estudos que aplicaram a Escala de Significado do Dinheiro (ESD) proposta por Moreira e Tamayo junto à estudantes brasileiros. Desse modo, obteve-se um portfólio composto por cinco documentos, cujos resultados demonstraram destaque para a dimensão de significado do dinheiro associada à “estabilidade”. Constatou-se também, que estudantes do gênero feminino são mais propensas a associar dinheiro à aspectos desfavoráveis. Além disso, observou-se que discentes de cursos que integram a área gerencial apresentam menor predisposição a perceber o dinheiro como uma maneira de proporcionar bem-estar coletivo, em comparação com estudantes do curso de Teologia. As contribuições do estudo realizado respaldam-se em proporcionar um compilado de informações relacionadas ao significado atribuído ao dinheiro pelos estudantes, o que oportuniza insights para pesquisas futuras.
Programación funcional con Racket
Authors: Muñoz Guerrero Luis Eduardo , Ríos Patiño Jorgen Iván , Solarte Martínez Guillermo Roberto
Published: October 2024

Este libro es producto de la investigación acerca de nuevas tendencias y tecnologías en programación de computadores. Ha sido utilizado hasta ahora con los grupos de Programación I de la Universidad Tecnológica de Pereira y los resultados han sido bastante favorables dado que la documentación sobre Programación Funcional no está suficientemente organizada como para que sirva de base para quien está comenzando con el mundo de la programación. En cada una de sus unidades, el lector encontrará tanto la teoría que explica la esencia de la programación funcional como un conjunto de actividades que incluyen ejercicios, talleres y preguntas que permiten asimilar, apropiar y aplicar los conceptos básicos de la programación funcional. El libro está diseñado para que cualquier persona, sin mayores conocimientos de programación, pueda leerlo de forma que asimile, por un camino simple y sencillo, los fundamentos de la programación funcional llevada a la práctica a través del Lenguaje de Programación Racket.
DEVELOPMENT OF PROFITABILITY IN SLOVAK AGRICULTURAL ENTERPRISES IN YEARS 2004-2011
Authors: Rábek Tomáš , Tóth Marián
Published: October 2024

Main objective of the paper is to evaluate the development of profitability in Slovak agriculture based on individual data from the balance sheets and profit and loose statements of all agricultural enterprises in the period 2004-2011. In the analyses we used more than 1100 enterprises in each researched year. For the characteristic the development of profitability we used more ratios from financial analyses, in the first place - Return on Investment, Return on Equity and Return on Sales. A group of profitability ratios shows the combined effects of liquidity, asset management, and debt on operating results. The results presented in this paper could be used as a benchmark for individual enterprises comparison.
JADWIGA DZIUBIŃSKA AGRICULTURAL EDUCATION CENTRE SCHOOLS IN GOLĄDKOWO MARKETING ACTIVITIES
Authors: Nuszkiewicz Krzysztof , Roman Michał
Published: October 2024

The paper presents the marketing activities of Jadwiga Dziubinska Agricultural Education Centre Schools in Golądkowo. In this regard, attention is drawn to the promotion of the School. With qualified staff of teachers and modern teaching base, the school has achieved many successes that are described in the article. People who start education in Schools in Golądkowo most often choose technical specializations, e.g. an agriculture mechanization technician, a farming technician or an agribusiness technician. Choosing the type of school and their future job, they may take into account various factors, including interests, health and physical condition, knowledge, skills and personality-based capabilities as well as the school authorities and staff’s promotional activities.
YOUNG CONSUMERS AS GROUP BUYING SERVICES’ CUSTOMERS
Authors: Rudawska Edyta
Published: October 2024

Currently, young consumers are becoming important participants in the market process. It is a consequence of the fact that they have an increasing impact on buying decisions undertaken by the family as well as they have an increasing individual purchasing power resulting from financial resources at their disposal. Economic and social changes have formed a different type of a young consumer, who, among other things, makes more reasonable choices and needs to establish social bonds what, in turn, makes him/her form groups of friends or integrate with others. These tendencies are the bases of new way of buying, the so-called group buying. Group buying can be defined as buying in group with the aim of receiving quantity discounts. The main objective of this paper is to present the research results conducted among university students aimed at identification of students’ buying behaviours on group buying services.
Specyfika przekazów reklamowych kierowanych do segmentu dziecięco-młodzieżowego
Authors: Adamczyk Grażyna
Published: October 2024

Niniejsze opracowanie prezentuje istotę, mechanizmy i cechy komunikacji marketingowej skierowanej do segmentu dziecięco-młodzieżowego. Szczególną uwagę zwrócono na specyfikę przekazów reklamowych transmitowanych do młodego odbiorcy. Wskazano m.in., iż nastoletni konsumenci stają się coraz bardziej wymagającymi uczestnikami rynku, mającymi ścisłe sprecyzowane oczekiwania. Przedsiębiorstwa z kolei dzięki powszechnemu rozwojowi nowoczesnych technologii, mogą sprostać temu zadaniu, stosując w procesach komunikacyjnych różnorodne instrumenty, które dotrą do docelowych fragmentów rynku. Aby jednak komunikacja spełniła swoje funkcje, należy dokładnie poznać jej adresata i zadbać o to, aby informacja została właściwie rozkodowana i zinterpretowana.
Witryna internetowa w komunikacji marketingowej nauczyciela akademickiego
Authors: Białek Ewa , Zajkowska Monika
Published: October 2024

W artykule omówiono etapy budowy witryny internetowej nauczyciela akademickiego ze szczególnym uwzględnieniem jej optymalizacji pod kątem wyszukiwarek internetowych. Wskazano metody promocji witryny. Zaproponowano narzędzia wspomagające te działania, w tym portale społecznościowe, internetowe bazy danych i dedykowane im wyszukiwarki. Przedstawiono praktyczną wiedzę i doświadczenie zdobyte przy budowie witryny www.whsz.bicom.pl.
Elementy platformy strategii marketingowo-finansowej
Authors: Golik-Górecka Grażyna
Published: October 2024

Celem artykułu jest przedstawienie koncepcji powiązań między strategiami marketingowymi i finansowymi, które ujmuje platforma interfejsu między tymi dwoma obszarami czy też funkcjami przedsiębiorstw. Do tych obszarów można dodać dział IT, który dostarcza narzędzi wspomagających i automatyzujących monitorowanie i wdrażanie strategii np. dashboard marketing.
Funkcje i metody kształtowania ceny w jednostce samorządu terytorialnego
Authors: Janulewicz Paweł
Published: October 2024

W pracy przedstawiono funkcje i metody kształtowania ceny w jednostkach samorządu terytorialnego. Artykuł został podzielony na dwie podstawowe części. W pierwszej części przedstawiono znaczenie ceny w zarządzaniu jednostką terytorialną oraz zaprezentowano jakie wykorzystuje się metody jej kształtowania oraz jakie funkcje pełni. Druga część prezentuje wyniki badań zrealizowanych w województwie lubelskim. Badania były przeprowadzone przy pomocy kwestionariusza ankiety skierowanego do: pracowników gmin, mieszkańców oraz przedsiębiorców. Badania przestawiają zależność pomiędzy poziomem konkurencyjności gminy jaki reprezentowali respondenci, a stopniem wykorzystania poszczególnych metod.
Organizacyjne aspekty rozwoju marketingu terytorialnego w gminach turystycznych
Authors: Kuźniar Wiesława
Published: October 2024

Jednostka terytorialna może w różny sposób realizować założenia w zakresie marketingu, część zadań wykonując we własnym zakresie, część zlecając na zewnątrz. Podział funkcji pomiędzy pracownikami jednostki a zewnętrznymi specjalistami musi być oparty na stałej współpracy, zarówno w zakresie działań strategicznych jak i operacyjnych. Przeprowadzone badania w 30 gminach województwa podkarpackiego wykazały, że gminy o rozwiniętej turystyce są bardziej aktywne marketingowo w stosunku do jednostek dopiero rozpoczynających działalność turystyczną. Ocena ta dotyczy nie tylko atrakcyjności promocyjnej ale także znajduje także swoje odzwierciedlenie w strukturze organizacyjnej gminy. W gminach które można określić mianem „wzorcowe” rozwój orientacji marketingowej uwidacznia się w prowadzonych badaniach marketingowych, w wyodrębnionych komórkach organizacyjnych czy też w wyższych kompetencjach osób odpowiedzialnych za koordynację działań marketingowych.