bluuebunny/crossref_metadata_2025 huggingface dataset:
Factors Influencing Open Science Participation Through Research Data Sharing and Reuse Among Researchers: a Systematic Literature Review
Authors: Ahmed Mahfooz
Published: September 2023

This systematic literature review investigates the influential factors guiding researchers' active engagement in open science through research data sharing and subsequent reuse, spanning various scientific disciplines. The review seeks to address key objectives and questions, including the identification of distinct sample types, data collection methods, critical factors, and existing gaps within the body of literature concerning data sharing and reuse in open science. The methodology employed in the review was detailed, outlining a series of systematic steps. These steps encompass the systematic search and selection of relevant studies, rigorous data extraction and analysis, comprehensive evaluation of selected studies, and transparent reporting of the resulting findings. The review's evaluation process was governed by well-defined inclusion and exclusion criteria, encompassing publication dates, language, study design, and research outcomes. Furthermore, it adheres to the PRISMA 2020 flow diagram, effectively illustrating the progression of records through the review stages, highlighting the number of records identified, screened, included, and excluded. The findings include a concise tabular representation summarizing data extracted from the 51 carefully selected studies incorporated within the review. The table provides essential details, including study citations, sample sizes, data collection methodologies, and the key factors that influence data sharing and reuse within the realm of open science. Additionally, common themes and categories among these influential factors are identified, shedding light on overarching trends in the field. In conclusion, this systematic literature review offers valuable insights into the multifaceted landscape of open science participation, emphasizing the critical role of research data sharing and reuse. It is a comprehensive resource for researchers and practitioners interested in further understanding the dynamics and factors shaping the open science ecosystem.
Psychosocial stress and microRNA expression profiles in myometrial tissue of women undergoing surgical treatment for uterine fibroids
Authors: Dye Christian K. , Wu Haotian , VanNoy Brianna , Calluori Stephanie , Marfori Cherie Q. , Baccarelli Andrea A. , Zota Ami R.
Published: September 2023

Uterine leiomyomas (fibroids) are the most common non-cancerous tumor affecting women. Psychosocial stress is associated with fibroid risk and severity. The relationship between psychosocial stress and fibroid pathogenesis may involve alterations in microRNAs (miRNAs) although this has yet to be examined. We investigated associations between two psychosocial stress measures, a composite measure of recent stressful life events and perceived social status, with expression levels of 401 miRNAs in myometrium (n = 20) and fibroids (n = 44; 20 matched between tissues) from pre-menopausal women who underwent surgery for fibroid treatment. We used linear regressions to identify psychosocial stressors associated with miRNAs, adjusting for covariates (age, body mass index, and race/ethnicity). Psychosocial stressors were modeled as ordinal variables and results were considered statistically significant if the overall variable significant was below false discovery threshold (FDR < 0.10) and showed a monotonic dose-response (nominal p-trend < 0.05). In the myometrium, 16 miRNAs were significantly associated with total stressful events and two miRNAs were associated with perceived social status. No fibroid miRNAs were associated with either stress measure. Pathway analyses revealed miRNA-mRNA targets were significantly enriched (FDR < 0.05) in pathways relevant to cancer/tumor development. Of the 74 differentially expressed miRNAs between myometrium and fibroids (p < 0.05), miR-27a-5p was also associated with stress exposure. Our pilot analysis suggests that psychosocial stress is associated with changes in myometrium miRNAs, and thus, plays a role in the pathogenesis of fibroids from healthy myometrium.
Reducción de cancelaciones de cirugías programadas en IPS a través de la metodología DMAIC de Lean Seis Sigma
Authors: Severiche Sierra Carlos Alberto , Vargas Ortiz Luz Elena , Carrillo Landazabal Martha Sofía , Narvaez Escorcia Maria Isabel , Vitola Cabarcas Jean Carlos
Published: September 2023

El Objetivo principal fue reducir las cancelaciones de cirugías programadas en una IPS a través de la metodología DMAIC de Lean Seis Sigma. Se basó en la metodología de DMAIC: definir, medir, analizar, mejorar y controlar. En la primera etapa, definir, se analizaron los datos del periodo de julio-diciembre del año 2019 en donde se definió el número de cirugías programadas, cuantas fueron realizadas y canceladas teniendo en cuenta todas las especialidades. En la segunda etapa, medir, se estudió las variables de cirugías y se estableció un diagrama de proceso para la programación de cirugías. En la tercera etapa, analizar, se tomaron dichos datos, se analizaron y se establecieron las posibles relaciones causa-efecto de cancelaciones de cirugía mediante el uso de herramientas estadística. En la cuarta etapa, mejorar, se genera una lista de mejoras o estrategias que ataquen las oportunidades de mejora y en la quinta y última etapa, controlar, se establecieron los controles necesarios para asegurar que el sistema implantado se mantenga en el tiempo más pertinentes para la disminución de cancelaciones de cirugías. Con las mejoras implementadas, se logró identificar los problemas presentes en el servicio y lo que ocasionaba retraso en el programa o cancelaciones de cirugías.
Análisis mecánico de emulsiones asfálticas CRR-1 y CRL-1 modificadas con caucho reciclado de bota de combate, por medio del ensayo de corte entre mezclas asfálticas tipo MDC-19 y MDC-10.
Authors: Fernandez Castellanos Harrizon F , Díaz Vargas Valeria Vanessa , Avendaño Rincón Jhoan Sebastián , Ruiz Acero Johanna
Published: September 2023

En los procesos que se llevan a cabo en las diferentes obras civiles para su construcción, se ha evidenciado a lo largo del tiempo que el uso de diferentes materiales como el cemento, el asfalto, los agregados pétreos, entre otros, requieren la ejecución de métodos para la construcción que afectan directamente el medio ambiente y en algunos casos los recursos naturales. Es por esto, que los profesionales, la industria y la academia, día a día han venido buscando nuevas técnicas en el uso de estos materiales que busquen la reducción del impacto de la contaminación, de la explotación de recursos naturales, la emisión de gases del efecto invernadero y en general las afectaciones que no permiten el desarrollo sostenible. En este caso, se buscar reutilizar un material como el caucho de la suela de botas de combate militar, en emulsiones asfálticas tipo CRR-1 y CRL-1 en diferentes dosificaciones, que nos permiten conocer la adherencia entre capas, por medio de la fabricación de mezclas asfálticas tipo MDC-19 y MDC-10 y la ejecución de la prueba de corte con el grano de caucho reciclado al 6%, 9% y 12%.
Ephimerus: Un Sistema para la generación gráfica de reportes de investigación
Authors: Guzman Luna Jaime Alberto , Torres Ingrid Durley , Jimenez Franco Alejandro , Montoya Suarez Lina Maria
Published: September 2023

Actualmente las Universidades vienen fortaleciendo el campo de la Investigación desde la academia. Sin embargo, la espectacularidad de los resultados se opaca con la cantidad de información. Una estrategia, radica en trabajar para presentar de una manera fácil y más comprensible, los logros de la investigación institucional. Apoyados en la información ofertada por Colciencias denominada “la ciencia en cifras” [7], las instituciones proponen generar un piloto, con algunos de los principales reportes, que trasciendan a presentaciones gráficas, y que resulten fácilmente compatibles con otras instancias institucionales. Resultado de esta labor, surge Ephimerus, un sistema semiautomático, para implementar las consultas y generar los reportes de manera gráfica, fácil y amigable, para que puedan ser absorbidas en el quehacer diario del equipo administrativo que, dentro de la institución, tienen a cargo la investigación.
First report of free-living amoebae in sewage treatment plants in Porto Alegre, southern Brazil
Authors: Borella da Silva Thaisla Cristiane , dos Santos Daniel Leal , Rott Marilise Brittes
Published: September 2023

Free-living amoebae (FLA) are amphizoic protozoans with a cosmopolitan distribution. Some strains of species are associated with infections in humans. They feed on microorganisms by phagocytosis; however, some of these can become endocytobionts by resisting this process and taking shelter inside the amoeba. The whole world is experiencing increasing shortage of water, and sewage is being reused, so the study of this environment is important in public health context. The objective of this work was to identify FLA present in sewage treatment plants in Porto Alegre, Brazil. About 1 L samples were collected from eight stations (raw and treated sewage) in January, February, July, and August 2022. The samples were sown in monoxenic culture, and the isolated amoebae were subjected to morphological and molecular identification. Polymerase chain reaction results indicated the presence of the genus Acanthamoeba in 100% of the samples. Gene sequencing showed the presence of Acanthamoeba lenticulata and Acanthamoeba polyphaga - T5 and T4 genotypes - respectively, which are related to pathogenicity. The environment where the sewage is released can be used in recreational activities, exposing individuals to potential interactions with these amoebae and their potential endocytobionts, which may pose risks to public health.
Predicting the Risk of Sleep Disorders Using a Machine Learning–Based Simple Questionnaire: Development and Validation Study (Preprint)
Authors: Ha Seokmin , Choi Su Jung , Lee Sujin , Wijaya Reinatt Hansel , Kim Jee Hyun , Joo Eun Yeon , Kim Jae Kyoung
Published: September 2023

BACKGROUND

Sleep disorders, such as obstructive sleep apnea (OSA), comorbid insomnia and sleep apnea (COMISA), and insomnia are common and can have serious health consequences. However, accurately diagnosing these conditions can be challenging as a result of the underrecognition of these diseases, the time-intensive nature of sleep monitoring necessary for a proper diagnosis, and patients’ hesitancy to undergo demanding and costly overnight polysomnography tests.

OBJECTIVE

We aim to develop a machine learning algorithm that can accurately predict the risk of OSA, COMISA, and insomnia with a simple set of questions, without the need for a polysomnography test.

METHODS

We applied extreme gradient boosting to the data from 2 medical centers (n=4257 from Samsung Medical Center and n=365 from Ewha Womans University Medical Center Seoul Hospital). Features were selected based on feature importance calculated by the Shapley additive explanations (SHAP) method. We applied extreme gradient boosting using selected features to develop a simple questionnaire predicting sleep disorders (SLEEPS). The accuracy of the algorithm was evaluated using the area under the receiver operating characteristics curve.

RESULTS

In total, 9 features were selected to construct SLEEPS. SLEEPS showed high accuracy, with an area under the receiver operating characteristics curve of greater than 0.897 for all 3 sleep disorders, and consistent performance across both sets of data. We found that the distinction between COMISA and OSA was critical for accurate prediction. A publicly accessible website was created based on the algorithm that provides predictions for the risk of the 3 sleep disorders and shows how the risk changes with changes in weight or age.

CONCLUSIONS

SLEEPS has the potential to improve the diagnosis and treatment of sleep disorders by providing more accessibility and convenience. The creation of a publicly accessible website based on the algorithm provides a user-friendly tool for assessing the risk of OSA, COMISA, and insomnia.
Correction: The Effectiveness of Digital Apps Providing Personalized Exercise Videos: Systematic Review With Meta-Analysis (Preprint)
Authors: Davergne Thomas , Meidinger Philippe , Dechartres Agnès , Gossec Laure
Published: September 2023

UNSTRUCTURED

Among available digital apps, those providing personalized video exercises may be helpful for individuals undergoing functional rehabilitation. We aimed to assess the effectiveness of apps providing personalized video exercises to support rehabilitation for people with short- and long-term disabling conditions, on functional capacity, confidence in exercise performance, health care consumption, health-related quality of life, adherence, and adverse events. In this systematic review, we searched MEDLINE, CENTRAL, and Embase databases up to March 2022. All randomized controlled trials evaluating the effect of apps providing personalized video exercises to support rehabilitation for any condition requiring physical rehabilitation were included. Selection, extraction, and risk of bias assessment were performed by 2 independent reviewers. The primary outcome was functional capacity at the end of the intervention. The secondary outcomes included confidence in exercise performance, care consumption, health-related quality of life, adherence, and adverse events. A meta-analysis was performed where possible; the magnitude of the effect was assessed with the standardized mean difference (SMD). From 1641 identified references, 10 papers (n=1050 participants, 93% adults) were included: 7 papers (n=906 participants) concerned musculoskeletal disorders and 3 (n=144 participants) concerned neurological disorders. Two (n=332 participants) were employee based. The apps were mostly commercial (7/10); the videos were mostly elaborated on by a physiotherapist (8/10). The duration of app use was 3-48 weeks. All included studies had a high overall risk of bias. Low-quality evidence suggested that the use of apps providing personalized video exercises led to a significant small to moderate improvement in physical function (SMD 0.35, 95% CI 0.19-0.51; Phet=.86; I2=0%) and confidence in exercise performance (SMD 0.67; 95% CI 0.37-0.96; Phet=.22; I2=33%). Because of the very low quality of the evidence, the effects on quality of life and exercise adherence were uncertain. Apps did not influence the rate of adverse events. Apps providing personalized video exercises to support exercise performance significantly improved physical function and confidence in exercise performance. However, the level of evidence was low; more robust studies are needed to confirm these results. PROSPERO CRD42022323670; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=323670
Machine Learning Perspectives in Glucose Level Monitoring and Control (Preprint)
Authors: Mroszczak Mikolaj , Mroskowiak Aleksandra , Jarosz-Chrobot Przemyslawa , Seget Sebastian
Published: September 2023

UNSTRUCTURED

Type 1 diabetes (T1D) results from an autoimmune response, which causes the destruction of insulin-producing pancreatic β cells. This condition necessitates lifelong insulin therapy to manage glucose levels. Recent advancements in technology, particularly in the realm of machine learning (ML), have revolutionized T1D care. This article presents a comprehensive review of ML applications in T1D management, focusing on glucose level prediction, insulin dose control, and the development of closed-loop artificial pancreas systems. ML, particularly deep neural networks (DNNs), is introduced as a potent tool with diverse applications, including medical diagnostics and electromechanical system control. The closed-loop systems, where insulin delivery is connected with the real-time CGM systems data and controlled by specialized algorithms, are very useful tools, which bring new possibilities for better T1D treatment like improving glycemic control, increasing time in range, and reducing hypoglycemic episodes. Although there are still many challenges in T1D treatment, the development of ML and more and more advanced insulin pumps is the future of T1D management.
The value of digital health solutions in diabetes: the role of patient-reported outcomes (Preprint)
Authors: Cerletti Paco , Joubert Michael , Oliver Nick , Ghafur Saira , Varriale Pasquale , Wilczynski Ophélie , Gyldmark Marlene
Published: September 2023

BACKGROUND

Digital health solutions (DHS) are technologies with the potential to improve outcomes as well as change the way care is delivered. The value of DHS for people with diabetes is not well understood, nor is it clear how to quantify this value.

OBJECTIVE

We aimed to summarize current literature on the use of Patient-Reported Outcomes Measures (PROMs) in diabetes as well as in selected guidelines for Health Technology Assessment (HTA) of DHS to highlight gaps, needs and opportunities for the use of PROMs to evaluate DHS.

METHODS

We searched PubMed and ClinicalTrials.gov to establish which PROMs were most used in diabetes clinical trials and research between 1995 and October 2020. HTA guidelines on DHS evaluation from France, Germany, and the UK were also assessed to identify PROMs for DHS evaluation in general.

RESULTS

Forty-six diabetes-specific PROMs and 16 non-diabetes–specific PROMs were identified. The most used diabetes-specific PROMs were: Diabetes Distress Scale; Problem Areas in Diabetes; Diabetes Empowerment Scale; Diabetes Quality of Life; and Diabetes Treatment Satisfaction Questionnaire. The most used non-diabetes–specific PROMs were: Beck Depression Inventory; Sickness Impact Profile; EQ-5D; and SF-36. In HTA guidelines, the most prominent domain was health-related quality of life, for whose assessment there are well-established measures (SF-36 and EQ-5D).

CONCLUSIONS

Of the many PROMs used in diabetes care, few are currently used to evaluate DHS, and certain domains of value in diabetes are not mentioned in HTA guidelines. A common, comprehensive DHS-specific HTA framework could facilitate and accelerate the evaluation of DHS.
Motor Effects of Intervention With Transcranial Direct Current Stimulation for Physiotherapy Treatment in Children With Cerebral Palsy: Protocol for a Randomized Clinical Trial (Preprint)
Authors: Cangussu Anna Izabel , Lucarini Beatriz , Melo Igor de Freitas , Diniz Paula Araújo , Mancini Marisa , Viana Bernardo de Mattos , Romano-Silva Marco Aurélio , Miranda Débora Marques de
Published: September 2023

BACKGROUND

Children diagnosed with cerebral palsy (CP) often experience various limitations, particularly in gross motor function and activities of daily living. Transcranial direct current stimulation (tDCS) is a noninvasive brain stimulation technique that has been used to improve movement, gross motor function, and activities of daily living.

OBJECTIVE

This study aims to evaluate the potential additional effects of physiotherapy combined with tDCS in children with CP in comparison with physiotherapy only.

METHODS

This is a 2-arm randomized controlled trial that will compare the effects of tDCS as an adjunctive treatment during rehabilitation sessions to rehabilitation without tDCS. Children with CP classified by the Gross Motor Function Classification System as levels I and II will be randomly assigned to either the sham + rehabilitation group or the tDCS + rehabilitation group. The primary outcome will be the motor skills assessed using the Gross Motor Function Measure domain E scores, and the secondary outcome will be the measurement scores of the children’s quality of life. The intervention will consist of a 10-day stimulation protocol with tDCS spread over 2 weeks, with stimulation or sham tDCS administered for 20 minutes at a frequency of 1 Hz, in combination with physiotherapy. Physical therapy exercises will be conducted in a circuit based on each child’s baseline Gross Motor Function Measure results. The participants’ changes will be evaluated and compared in both groups. Intervenient features will be tested.

RESULTS

Data collection is ongoing and is expected to be completed by January 2025. A homogeneous sample and clear outcomes may be a highlight of this protocol, which may allow us to understand the potential use of tDCS and for whom it should or should not be used.

CONCLUSIONS

A study with good evidence and clear outcomes in children with CP might open an avenue for the potential best use of neurostimulation.

CLINICALTRIAL

Brazilian Registry of Clinical Trials RBR-104h4s4y; https://tinyurl.com/47r3x2e4

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/52922
Data flow construction and quality evaluation of electronic source data (eSource) in Clinical Trials：Pilot study based on Hospital Electronic Medical Records in China (Preprint)
Authors: Yuan YanNan , Mei Yun , zhao shuhua , Dai ShengLong , Liu XiaoHong , Sun XiaoJing , Fu ZhiYing , Zhou LiHeng , Ai Jie , Ma LiHeng , Jiang min
Published: September 2023

BACKGROUND

The traditional clinical trial data collection process requires a Clinical Research Coordinator (CRC) who is authorized by the investigators to read from the hospital electronic medical record. Using electronic source data opens a new path to extract subjects' data from EHR and transfer directly to EDC (often the method is referred to as eSource ).The eSource technology in clinical trial data flow can improve data quality without compromising timeliness. At the same time, improved data collection efficiency reduces clinical trial costs.

OBJECTIVE

Explore how to extract clinical trial-related data from hospital electronic health record system (EHR), transform the data into an electronic data capture system (EDC) required format, and transfer it into sponsor's environment. Evaluate the transferred datasets to validate the availability, completeness, and accuracy of building eSource dataflow.

METHODS

A prospective clinical trial study registered on the "Drug Clinical Trial Registration and Information Disclosure Platform (http://www.chinadrugtrials.org.cn/) " was selected, and the production data environment of EHR relied on to extract the structured data of four Case Report Form(CRF) data modules: demographics, vital signs, local laboratory, and concomitant medications from EHR. Extracted data was mapped & transformed, de-identified, and transferred to the sponsor’s environments. Data validation was performed based on availability, completeness and accuracy.

RESULTS

In a secure and controlled data environment, clinical trial data was successfully transferred from a hospital EHR to sponsor's environment with 100% transcriptional accuracy, but availability and completeness could be improved.

CONCLUSIONS

Data availability is low due to some fields required in EDC not being available directly in the EHR. Concurrently, some data is still in unstructured data format and paper-based medical record data, therefore data completeness in the EHR is low. The top-level design of eSource and the construction of hospital electronic data standards should help lay a foundation for full electronic data flow from EHR to EDC in future.
Understanding Peanuts and Schulzian Symmetry: Panel Detection, Caption Detection, and Gag Panels in 17,897 Comic Strips Through Distant Viewing.
Authors: Arnold Taylor , Tilton Lauren , Wigard Justin
Published: September 2023

In this article, we applied distant viewing to a corpus of 17,897 comic strips from Charles Schulz’s Peanuts as a primary case study. Distant viewing uses computational techniques to study large-scale visual media, and draws upon interdisciplinary areas including visual media studies, cultural studies, data science, and semiotics. We focus on comic strips, particularly Peanuts, due to their widespread readership, historical and cultural cache, and complexity as a medium built on the interplay between text, image, and meaning. First, we discuss previous work done at the intersections of comics studies and computer vision. Next, we establish the processes for applying computer vision to comic strips. After that, we provide several examples, including: panel detection (variations in panel length over a cartoonist’s career); caption detection (identification and location of captions in panels); and comics paratext (computer vision analyses/exclusions of copyright text, signatures, dates, etc.). Combined studies of panel detection, caption detection, and comics paratext reveals new insights into the success, longevity, and influence of one of the world’s most famous newspaper comic strips. Ultimately, computer vision reveals a subtle stability and symmetry to Schulz’s artistry that played an understudied but significant role in the comic strip’s popularity.
A RANDOMIZED COMPARATIVE STUDY OF EARLY AND DELAYED LAPAROSCOPIC CHOLECYSTECTOMY IN ACUTE CHOLECYSTITIS: A TERTIARY CENTER EXPERIENCE AND REVIEW OF LITERATURE
Authors: YADAV RAHUL , RAO HARSHITA , GOEL GAURAB
Published: September 2023

Objective: It is established that the standard treatment foracute cholecystitis is laparoscopic cholecystectomy. However, the question of the timing of surgery remains controversial. To compare early laparoscopic cholecystectomies (within 72 h of symptom onset) and delayed laparoscopic cholecystectomies (beyond 72 h) for acute cholecystitis in terms of intra-operative difficulties and post-operative complications.

Methods: The patients operated on for acute cholecystitis, between December 2018 and December 2021, were included in a prospective study. They were divided into two groups based on whether surgery was performed before (group 1) or after (group 2) 72 h after the onset of symptoms. We conducted a comparison between the two groups.

Results: The two groups were comparable in terms of demographics, clinical presentation, and radiological findings. The duration of surgery was significantly longer for group 2 (53.6 min versus 30.7 min, p<0.001). There was more conversion in group 2 than in group 1, without a significant difference (6% versus 0%, p = 0.17). There were no postoperative deaths during the study period. Specific post-operative complications were comparable between the two groups. The post-operative hospital stay was significantly longer in group 2 (9.3 d versus 5.4 d)

Conclusion: In the case of acute cholecystitis, early surgery can reduce the cost of care, the duration of surgery and the hospital stay while the conversion rate and postoperative morbidity are comparable to the delayed treatment.
CLINICO-HEMATOLOGICAL PROFILE OF NUTRITIONAL ANEMIA IN HOSPITALISED INFANTS AT A TERTIARY CARE HOSPITAL
Authors: SUPRIYA M. A. , RANGEGOWDA RAVICHANDRA KOTHUR , LAKSHMINARAYANA SHILPA KRISHNAPURA , M. LAKSHMI
Published: September 2023

Objective: Anemia is a serious global public health problem that particularly affects young children. As many as 67.1% children aged 6-59 mo surveyed suffered from anemia in 2019 and 65.5% in Karnataka, according to NFHS-5. Nutritional anemia is most common but preventable cause for anemia in children in developing countries. This is due to improper feeding habits, especially during the initiation of complementary foods. Hence the present study is to know the pattern of anemia in infants of age group between 6 mo to 12 mo and to assess the nutritional and other associated risk factors contributing to Anemia.

Methods: This study was carried out in 193 children aged 6 mo to 12 mo admitted in our hospital. Detailed clinical evaluation and relevant laboratory investigations were done as per proforma.

Results: In our study majority were of age group 6 to 9 mo (52.8%). 40.4% of mothers of our study infants were anemic during pregnancy and 9.3% were blood transfused. Majority (53.4%) were exclusively breastfed. 45.6% were started on complementary feeding at 4 to 6 mo age.17.6% were moderately wasted and 9.3% of infants were severely wasted. There was a significant association between severity of anemia and mother’s anemia, inclusion of cow’s milk in diet, adequacy of complementary feeding, and inclusion of formula feeds (p<0.05).

Conclusion: Nutritional anemia is most common cause of anemia in childhood, especially in developing countries like India. Parents and caregiver need awareness regarding the effect, causes of anemia and how to prevent it.
Análisis de redes sociales en torno a la emergencia sanitaria de COVID-19
Authors: Bárcenas Patiño Everardo , Ambrosio-Aguilar Agustín Daniel , Molero-Castillo Guillermo , Aldeco-Pérez Rocío
Published: September 2023

El amplio incremento en el uso de redes sociales, también conocidas como medios sociales, ha detonado estudios de la información publicados a través de las redes sociales con respecto a diversos dominios: elecciones para cargos públicos, desastres naturales, guerras, estados de salud, por mencionar algunos. En este artículo se describe el estado del arte sobre el análisis de redes sociales. Así mismo, se propone un estudio para la identificación de patrones de ubicación de publicaciones en redes sociales con respecto al nivel de contagios COVID-19 en determinadas zonas de la Ciudad de México. Estos patrones pueden ser de utilidad para los actores políticos, sanitarios y/o gubernamentales con la finalidad de tomar medidas de prevención y/o emergencia sanitaria.
Accurate Estimation of Water Demand and Diurnal Water Consumption Pattern in Hostels in Peshawar
Authors: . Rahmatullah , Saeed Salman
Published: September 2023

Abstract: This study looks into water demand and daily water consumption patterns in hostels, which is important for long-term water supply systems. It produces exact estimates by combining IoT-based algorithms with ultrasonic sensors. In Pakistan, there was no precise study on hostel water usage. Ultrasonic sensors in hostel water tanks monitor real-time water levels and pump status, allowing hourly water consumption to be calculated. The average daily water consumption per person in hostels is 168.5 Liter Per Capita per Day (LPCD), with a standard deviation of 29.3 LPCD ranging from 112.25 LPCD to 218.5 LPCD. Demand peaks around 10:00 a.m. and gradually declines throughout the day. Weekdays average 172.5 LPCD, whereas weekends average 157.7 LPCD. This information assists in effective water management techniques such as consumption reduction, awareness promotion, optimizing usage, and leak repair, hence improving sustainable water supply system planning and management.
Gesture Recognition for Media Interaction: A Streamlit Implementation with OpenCV and MediaPipe.
Authors: Patil Vaibhav , Sutar Dr. Sanjay , Ghadge Sanskruti , Palkar Shubham
Published: September 2023

Abstract: This project aims to create a media player application that responds to hand gestures, using Python and the OpenCV library. The system taps into computer vision methods, like those used in depth-sensing cameras such as Kinect or Intel RealSense, to track and understand hand movements. It processes the depth data to extract hand features and employs machine learning (like CNNs or decision trees) to classify these into gestures. This lets the application accurately interpret user gestures and apply them to media commands—play, pause, volume, and more. All this works through a user-friendly interface that even lets users customize gestures for specific commands. The combo of OpenCV and Python enables an efficient and adaptable media control system. This fusion of computer vision and machine learning offers a seamless, natural way to navigate media playback, making it an immersive experience without needing physical controllers.
The Effect of Abusive Supervision on Supervisor Trust: Mediating Effects of Emotional Labor Strategies
Authors:   Korean Academy of Leadership, Kim Ju Yeong , Chae Hee Sun , Zhang Wei , Ahn Seong Ik
Published: September 2023

As workplace bullying has emerged as a serious social problem, many researches on the abusive supervision representing workplace bullying have been conducted. The abusive supervision has a significant negative impact on the subordinate's attitude and behavior, especially on the subordinate's trust in the supervisor, which has been confirmed to have a positive effect through many empirical studies. Therefore, it is necessary to properly recognize the impact of abusive supervision that occurs frequently in the organization on supervisor trust, and the need to manage it at the organizational level is increasing. Accordingly, this study focuses on the emotional mechanism of subordinates (the mediating effect of emotional labor strategies divided into deep acting and surface acting), and based on social exchange theory and conservation of resources theory, we clarify the impact of abusive supervision on supervisor trust.
This study conducted a survey of organizational members working with their supervisors for empirical study, and a total of 317 samples were used for research hypothesis analysis. As a result of structural equation analysis, the abusive supervision did not have a statistically significant effect on supervisor trust, but the negative effect on deep acting and the positive effect on surface acting were confirmed. Deep acting had a positive effect on supervisor trust, and surface acting did not have a significant effect on supervisor trust. As a result of the mediating effect verification, it was found that deep acting mediates the relationship between abusive supervision and supervisor trust.
Based on the above research results, theoretical and practical implications for the effect of abusive supervision were presented.
Anonymous conference key agreement in linear quantum networks
Authors: de Jong Jarn , Hahn Frederik , Eisert Jens , Walk Nathan , Pappa Anna
Published: September 2023

Sharing multi-partite quantum entanglement between parties allows for diverse secure communication tasks to be performed. Among them, conference key agreement (CKA) - an extension of key distribution to multiple parties - has received much attention recently. Interestingly, CKA can also be performed in a way that protects the identities of the participating parties, therefore providing anonymity. In this work, we propose an anonymous CKA protocol for three parties that is implemented in a highly practical network setting. Specifically, a line of quantum repeater nodes is used to build a linear cluster state among all nodes, which is then used to anonymously establish a secret key between any three of them. The nodes need only share maximally entangled pairs with their neighbours, therefore avoiding the necessity of a central server sharing entangled states. This linear chain setup makes our protocol an excellent candidate for implementation in future quantum networks. We explicitly prove that our protocol protects the identities of the participants from one another and perform an analysis of the key rate in the finite regime, contributing to the quest of identifying feasible quantum communication tasks for network architectures beyond point-to-point.
Comparative Study On the Academic Performance of Day Scholar and Hostel Medical Undergraduate Students
Authors: Priyanka G. , Kumaresan M. , Achuthan Sangeetha , K Chaturitha. , Raghunath Gunapriya
Published: September 2023

Examinations are the greater source of anxiety in medical education, and they can be greatly affected by the residential status of medical students. The study compares the academic performance between the day scholar students and the hostelers pursuing the first year of MBBS. This study was conducted at Saveetha Medical College, Chennai, India. Assessment of the marks obtained by both groups of students was done. Two exams, one theory and one practical exam, including viva voce, were taken for analysis. All 149 students attended both exams. Students in both categories were divided into 4 groups according to the marks obtained. Students who obtained < 50% marks were categorized as Group A, 50 to 69 % as Group B, 70% to 89% as Group C, and> 90% as Group D. In this study, 149 students participated. Among these, 82 students (55.03%) were day scholars, and 67 (44.96%) were hostelers. In the theory exam, 59.8% of day scholars belonged to Group B compared to 55.2% of hostelers. Only 6.09% of day scholar students were in group A as opposed to 19.4% of Hostelers in the same group. In Practical exams, amongst day scholars, 52.4% were in group B compared to 46.2% of hostelers in the same group. Only 4.9% of day scholars were in Group A as opposed to 19.4% of hostelers in the same group. There was a significant difference academically between the two groups of students involved in this study. The day scholars performed better than Hostelers in academics.
STRENGTH ANALYSIS OF A WUXI TUNNEL SHAFT USING FINITE ELEMENT METHOD
Authors: Sisliana Azara Vigha , Romahadi Dedik , Imran Muhammad
Published: September 2023

The Wuxi Tunnel is a machine for producing mochi ice cream from China. One of the most important components in the ongoing production is the shaft. A shaft is a stationary rotating part, usually of a circular cross-section, to which elements such as gears, pulleys, cranks, sprockets, and other rotational transfer elements are attached. The load received by the shaft comes from the product and materials. The load was too heavy and worked continuously, resulting in the shaft breaking 3 times and not being straight. The purpose of this research is to analyze the shaft to determine the type of material and recommended dimensions so that the strength of the shaft is maintained and to determine the stress that occurs on the shaft due to the load from the product and other materials. The research method used in this study is the finite element method using Autodesk Inventor Pro software and manual calculations so that later, the results of the type of material and dimensions suitable for the shaft will be used. The analysis results show that the shaft can withstand loads at a diameter of 50 mm on the type of material AISI 4340 Annealed. The von Mises result for manual calculations is 294.2578 MPa, and the von Mises result for finite elements is 275.5 MPa. The allowable stress is 470 MPa. So that, AISI 4340 material with a recommended large diameter of at least 50 mm is a safe shaft limit that can be used at PT. X because the von Mises value is lower than other types of materials, and a safety factor of 1.71 is more than >1.
Isolation, identification, and antimicrobial susceptibility of E. coli and Salmonella from Diarrheic Dairy Calves in Hawassa Town, Southern Ethiopia
Authors: Geda Tesfaye , Abera Mesele , Aragaw Kassaye , HAWAS NEBYOU MOJE
Published: September 2023

Calf diarrhea is a very common disease syndrome in neonatal calves
impacting the dairy industry and animal welfare. The study was aimed to
isolate E. coli and Salmonella from diarrheic calves and antimicrobial
susceptibility. A cross-sectional study was conducted from January 2020
- June 2021 in dairy farms in Hawassa town. A total of 102 fecal samples
were collected from diarrheic calves aged up to 4 months from intensive
management. Standard bacteriology revealed; 91 (89.2%) and 5 (4.9%) of
the fecal samples were with E. coli and Salmonella, respectively. Animal
and environmental risk factors showed; age (OR= 10.79, p<
0.05; OR= 9.41, p< 0.05), body condition score (OR=0.037,
p< 0.001; OR= 5.86, p< 0.05), bedding (OR=5.73,
p< 0.05; OR=0.60, p< 0.05), housing (OR= 6.30,
p< 0.05; OR= 0.58, p< 0.05), first colostrum feeding
(OR= 4.69, p< 0.05; OR=5.08, p< 0.05), and house
hygiene (OR= 0.20, p< 0.05; OR=6.52, p< 0.05) showed
significant association with the occurrence of E. coli and Salmonella,
respectively. The antimicrobial study revealed that most of the E. coli
isolates were highly susceptible to chloramphenicol (100%) followed by
ciprofloxacin (95%) and nalidixic acid (87.5%). However, isolated
Salmonella showed 100% susceptibility to nalidixic acid, tetracycline,
and nitrofurantoin followed by 80% susceptibility to gentamicin. Both
isolates showed high resistance to erythromycin and ampicillin. In
conclusion, the detection of high E. coli and relatively low Salmonella
isolate in this study could be considered as a potential causative agent
of diarrhea in calves leading to improved management practices and
hygiene suggestions.
Numerical study for the design of a thermal energy storage system with multiple tunnels based on phase change material: Case Study Mining in Chile
Authors: Nuñez Suleivys M. , Preuss Felipe E. Trujillo , Macia Yunesky
Published: September 2023

This paper presents a numerical model for the design, development, and
feasibility of thermal energy storage systems. The energy storage was
composed of a tank that stores phase change material and internal pipes
with heat transfer fluid, coupled to a power block to dispatch
electrical energy on a small scale for off-grid industrial applications.
Subsequently, the evolution of the temperature in charge/discharge
cycles, temperature degradation, and storage efficiency was determined
with the appropriate magnitudes and behavior through the resolution of a
numerical model. In addition, the proposed energy production plant that
connects the system to was implemented in an industrial application for
Chile. A numerical model was developed using the finite volumes method
to simulate the thermocline performance. As a result, the temperature
history reflects stable thermal behavior, low degradation, and high
efficiency of approximately 92%, with a storage time increasing up to
13 [hrs] and 384.8 [kWh] capacity. Also, implementation was
feasible on a small scale due to its compact, modular, and economically
competitive characteristics in Concentrated Solar Power. Finally, the
proposed design was proven to be an accurate and reliable alternative
for small-scale off-grid mining applications.
Examining Trauma, Anxiety, and Depression as Predictors of Dropout from Residential Treatment for Substance Use Disorders
Authors: Medenblik Alyssa M. , Garner Alisa R. , Basting Evan J. , Jacqueline A. Sullivan , Mary C. Jensen , Shorey Ryan , Stuart Gregory
Published: September 2023

Substance use disorders (SUDs) are highly prevalent and have deleterious
effects on one’s health and well-being. Inpatient treatment for SUDs
reduces patient relapse, which subsequently ameliorates these negative
effects on the individual and society. Additionally, those who complete
treatment are less likely to relapse compared to those who do not
complete treatment. Thus, maintaining patient engagement in treatment
and reducing the rates of those leaving against medical advice (AMA) is
particularly important. Examining the factors and comorbidities that may
contribute to treatment dropout has the potential to identify at-risk
patients in need of additional individualized intervention. The current
study aimed to examine comorbid anxiety, depression, and post-traumatic
stress disorder (PTSD) symptoms as predictors of dropout AMA in a
residential substance use treatment population. Results showed that
patients with social anxiety were more likely to leave treatment AMA,
while those with PTSD were more likely to complete treatment. Findings
suggest that PTSD-specific treatment, as offered in this facility, may
help with patient retention, while group focused therapy may be
distressing to those with social anxiety. Clinical implications of this
research may include incorporating evidence-based practice for social
anxiety early during inpatient treatment to reduce anxiety such that
patients may better engage with SUDs treatment.
A Study on Rice Growth Monitoring Using Drone Remote Sensing
Authors: Lee Jinhyeong , Lee Seungkuk
Published: September 2023

Rice paddy is one of the key crops of Korean agriculture and it has long been regarded as an important crop. Due to the high self-sufficiency of rice in Korea, the need to establish systematic rice paddy field data is increasing, and rice paddy research using remote sensing is being conducted several times in Korea. The optical satellite remote sensing method faces difficulties in data acquisition due to the abundance of clouds caused by the summer monsoon season, a characteristic of the domestic climate. However, the drone remote sensing method equipped with an optical sensor has the advantage of being able to freely acquire data, avoiding periods with high cloud cover. In this study, a drone equipped with a multispectral optical sensor was utilized to measure the height of rice paddy. Compared to satellites, drones provide the advantage of flexible timing for observations, allowing for the acquisition of high-frequency time-series data according to specific preferences. In this study, we seek to obtain values related to rice growth rates by analyzing optical data acquired through drone remote sensing. The DJI MAVIC 2 PRO drone was employed, and the Metashape program was utilized to generate a highresolution digital elevation model (DEM) from optical data. After the harvest period, rice-free rice paddy data were assumed to be digital terrain model (DTM), the height of the rice paddies. During the rice growth period, a digital surface model (DSM) was generated from drone imagery, and by calculating the difference between DSM and DTM, the height and growth of the rice plants were observed. Using network GPS measurement data, we validated monthly DEM models. This allowed us to anticipate the acquisition of precise rice growth data throughout the year, from planting to harvest.
Correlation between clinical severity and quality of life in moderate to severe psoriasis patients: Real-world evidence
Authors: Milidrag Ardea , Safiye Teodora , Gutic Medo , Zlatanovic Milena , Radevic Svetlana , Ravic-Nikolic Ana
Published: September 2023

Background/Aim. Psoriasis is a chronic multisystem, inflammatory, and immune-mediated dermatological disease of a relapsing nature. Not only does it affect objective parameters such as skin and joints, with different intensity involvement and with changes and the degree of changes, but it also significantly affects the health-related quality of life (QoL). The aim of the study was to determine the clinical severity and QoL of patients with moderate to severe psoriasis and examine the association between those parameters before and after the treatment. Methods. This cross-sectional study included 183 patients diagnosed with moderate to severe psoriasis. The severity of the clinical picture was determined by calculating the Psoriasis Area and Severity Index (PASI) by a dermatologist, while the QoL was assessed using the Dermatology Life Quality Index (DLQI) questionnaire and psoriasis-related stress by the Psoriasis Life Stress Inventory (PLSI). Disease severity and QoL were measured at the baseline visit and after the 16th week of therapy. Results. The average PASI score at the beginning of therapy was 23.1 ? 6 .5, while after 16 weeks, this value was 4.36 ? 4.86. The DLQI score was 20.8 ? 5.0 at the start of therapy and 6.20 ? 6 .16 after 16 weeks, while the PLSI score was 35.37 ? 8.84 initially and 12.75 ? 12.82 after 16 weeks of therapy. A strong correlation was found between PASI and PLSI scores (r = 0.702, ? < 0.001) in the 16th week of therapy, while the correlation between DLQI and PASI scores was moderate (r = 0.683, ? < 0.001). No significant differences between PASI and DLQI scores were found (r = 0.080, ? = 0.284) nor between PASI and PLSI scores (r = 0.109, ? = 0.140) at baseline. Conclusion. Patients with severe psoriasis experience a significant reduction in their QoL, accompanied by a high level of psychosocial stress. Observed improvements in QoL have shown a moderate correlation, while lower levels of psychosocial stress have strongly correlated with the severity of the clinical presentation, which may indicate a complex interaction between psychological factors and physical health in patients with psoriasis.