bluuebunny/crossref_metadata_2025 huggingface dataset:
PENGARUH MANAJEMEN RANTAI PASOK BERBASIS SISTEM ERP DALAM MENINGKATKAN KINERJA PT. DUTA MULTI KARYA
Authors: Fendy Cuandra  , Rizni Aulia Qadri  , Jacky  , Louis Hernandez  , Ellyn Olivia  , Albert Lee
Published: April 2024

Penelitian bertujuan untuk menganalisis pengaruh manajemen rantai pasok berbasis sistem ERP dalam meningkatkan kinerja PT. Duta Multi Karya. Penelitian ini menggunakan metode analisis kualitatif dan deskriptif dengan mengaitkan analisis perusahaan dengan dasar teoritikal yang tertuang pada rangkuman tinjauan pustaka. Hasil penelitian menunjukkan manajemen rantai pasok berbasis sistem perencanaan sumber daya perusahaan memudahkan kontrol dan evaluasi pihak manajemen terkait proses bisnis perusahaan. Hal ini meningkatkan internal kontrol perusahaan yang berdampak pada kinerja perusahaan.
The Impact of Breasts and Bras on Physical Activity Amongst Women and Girls: A Systematic Review and Meta-Analysis
Authors: Gilmer Gabrielle , Xu Elaine , Franklin Corinna , Adams Nailah , Rizzone Katherine
Published: April 2024

BACKGROUND: Breast motion may cause breast pain in active women, which can negatively impact physical activity. Sports bras are essential pieces of sporting equipment and were designed to help women comfortably participate in sports and engage in physical activity. Thus, the purpose of this systematic review was to summarize how breasts and bras influence physical activity in women and girls.
METHODS: A systematic review was conducted by performing electronic searches of PubMed, Physiotherapy Evidence Database, Cumulative Index to Nursing and Allied Health Literature, and Cochrane Central Register of Controlled Trials. Title, abstract, and full text screening were performed by two independent reviewers to identify articles investigating how breasts or bras impact physical activity related outcomes in women or girls. We performed meta-analyses to evaluate the effect of (i) breast size, (ii) bra type, and (iii) breast reduction on (i) breast pain, (ii) physical activity level, and (iii) breast biomechanics. Standardized mean differences and pooled standard deviations of outcome measures were calculated using the DerSimonian-Laird method. All meta-analyses were performed using SPSS Statistics Software.
RESULTS: Of the 323 articles identified, 77 were included in the final analysis. The majority of articles studied participants who were 20-29 years old, identified as white, lived in Western countries, were non-athletes, and weighed between 45-65 kg (BMI: 18.5-29.9), while they were performing a running movement. Very few articles reported household income and ethnicity/race. Key themes investigated by this body of literature were breast biomechanics, breast pain, and physical activity levels. Meta-analyses revealed that women and girls with larger breasts reported more exercise-induced breast pain and experienced greater breast mediolateral velocity and anterior/poster acceleration during physical activity than women and girls with smaller breasts. Meta-analyses revealed that sports bras were associated with less breast pain during physical activity than standard bras.
CONCLUSION: This body of literature largely studied a homogenous population, and there is a need for greater inclusion of women and girls who identify with under-represented minorities, with disability, who are post-menopausal, and who are overweight. Factors such as ethnicity/race and household income, were underreported in the literature, and studies of movement patterns beyond running are needed. Mediolateral breast velocity and anterior/posterior breast acceleration may be contributors to breast pain in women and girls with larger breasts, thus these biomechanical outcomes are of particular interest for future research and for consideration in sports bra optimization.
Screening for Relative Energy Deficiency in Sport and Female Athlete Triad: A Survey of Pediatric Sports Medicine Professionals
Authors: Sweeney Emily , Brna Madison , Howell David , Armento Aubrey , Gilmer Gabrielle , Franklin Corinna
Published: April 2024

BACKGROUND: Relative Energy Deficiency in Sport, or RED-S, is a multi-scale physiological response to a mismatch between energy intake and exercise energy expenditure that affects up to 50% of adolescent athletes. RED-S symptomology was first described as the Female Athlete Triad (the Triad) and includes specifically low energy availability with or without disordered eating, menstrual dysfunction, and low bone mineral density. Despite the wide impact of RED-S/the Triad, there is a lack of standardization of screening in adolescent athletes. Therefore, the purpose of this study was to assess if there are differences in practitioner demographics when screening for RED-S/the Triad in adolescent athletes. In addition, we sought to assess if providers’ screening habits differ based on specific patient characteristics. 
METHODS: We conducted a cross-sectional online questionnaire of members of the Pediatric Research in Sports Medicine (PRiSM) Society. PRiSM is an interdisciplinary group of professionals who are dedicated to advancing the research and medical care of young athletes. The questionnaire assessed screening tools that members used to assess for RED-S/the Triad, practices implemented when providers were concerned for RED-S/the Triad, demographic data, and type of training.
RESULTS: Of 389 PRiSM members, 60 completed the survey and were included in subsequent analyses (15% response rate). Most participants were primary care sports medicine physicians (37%), orthopaedic surgeons (27%), or physical therapists (23%), and about half of respondents identified as a cis gender woman (55%). There was a trend toward more women screening for RED-S routinely than men (55% vs. 33%: p=0.10), and orthopaedic surgeons were less likely to screen than other specialties (25% vs. 52%, p = 0.06). Eating disorders (88%), menstrual dysfunction (76%), and bone stress injury (74%) were reported as specific red flags that make providers screen for RED-S/the Triad. Participants reported that lack of time (57%) and lack of resources (37%) were barriers to screen for RED-S/the Triad. The most commonly utilized tools to screen for RED-S/the Triad were the Female Athlete Screening Tool (FAST), Female Athlete Triad Risk Scale, Female Athlete Triad Consensus Panel Screening questions, and RED-S Specific Screening Tool (RST).
CONCLUSION: Orthopaedic surgeons were less likely than other health care professionals to screen for RED-S/the Triad. Barriers that prevent healthcare providers from screening for RED-S/the Triad included limited time and resources. By describing current practices, we have identified gaps and areas of need to enhance screening for RED-S/the Triad across multiple sports medicine disciplines.
Predictors of motor impairment on awakening after general anesthesia in trauma patients (prospective cohort study)
Authors:   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Ermokhina Nadezhda V. , Kuzovlev Artem N. ,   Federal Scientific and Clinical Center for Intensive Care and Rehabilitation, Moscow, Russia, Ermokhina Lyubov V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Polyakov Pyotr A. ,   Federal Scientific and Clinical Center for Intensive Care and Rehabilitation, Moscow, Russia, Zavarzin Alexey Yu. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Stets Valery V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Davydov Denis V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Grechko Andrey V. ,   Federal Scientific and Clinical Center for Intensive Care and Rehabilitation, Moscow, Russia
Published: April 2024

Analysis of published studies shows that information on patients' hyperactivity on awakening is ambiguous, both regarding the definition of this condition itself and the causes of its occurrence. In the field of neurology and neurophysiology, there is a lack of data on the mechanisms of development of early cognitive impairment after surgery, as well as on the definition of vulnerable patients before surgery and anesthesia. Objective. To determine the prognostic value of predictors of different values on the RASS scale in trauma patients to assess the development of major clinical outcomes. Material and methods. A two-center prospective cohort study of patients aged 45–74 years after planned traumatologic surgeries under general anesthesia was conducted. Demographics, comorbidities, background therapy, preoperative laboratory examinations and testing (ASA, MoCA, AUDIT, CFS, HADS-A, RASS) were analyzed as part of the study. After extubation in the operating room, patients were evaluated using the RASS, CAM-ICU, CAM-ICU-7, NRS, and BPS scales. Statistical analysis was performed using SPSS Statistics 27.0.1.0 software. Results. Two hundred subjects were included in the study between March 2021 and June 2022. An independent predictor of positive Richmond Agitation-Sedation Scale (RASS) values after extubation in the operating room was adherence to alcohol (AUDIT test, optimal cut-off point ≥2 points, Se=59.2%, Sp=72.2%, estimate=0.440; 95% confidence interval (CI) 0.158-0.723, p=0.002). Risk factors of zero and negative RASS scores were found to be predictors of satisfactory quality by ROC analysis. When assessing the impact on clinical outcomes, differences were observed between the groups of patients with positive and zero values on the RASS scale. Conclusion. Patients with positive values on the RASS scale were statistically significantly more likely to have postoperative delirium - 12 (24.5%) patients, p=0.002.
Use of diffusion tensor imaging in endoscopic cervical discectomy. Clinical cases
Authors:   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Kim Viktor E. , Baskov Andrey V. ,   Russian Medical Academy of Continuous Professional Education, Moscow, Russia, Gizatullin Shamil' Kh. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Sitnikova Irina F. ,   Russian Medical Academy of Continuous Professional Education, Moscow, Russia
Published: April 2024

Minimization of surgical intervention is one of the global trends in spinal surgery, primarily by using endoscopic technologies. The indications for endoscopic treatment are expanding every year. Thus, the application of percutaneous endoscopic lumbar discectomy (PELD) more and more often becomes an alternative for open opearation. However, the use of endoscopy on cervical level has a number of limitations due to the peculiarities of anatomical structure in this spinal segment. Anterior cervical discectomy and fusion (ACDF) is currenlty a gold standard, implying total discectomy, additional instrumentalization, and associated risks. Endoscopy is also rarely used because it is only suitable for the treatment of radiculopathy and inapplicable for patients with stenosis followed by the formation of myelopathic focus in the spinal cord. In order to expand the indications for endoscopic treatment, in the present research we have used diffusion tensor imaging (DTI), allowing to detect subclinical signs of myelopathy. Referring to such parameters as fractional anisotropy (FA), establishing myelopathic focus can be identified in the region of spinal cord stenosis, and use this for differentiated treatment. In our study 9 patients with cervical radiculopathy have been operated, 3 of them using endoscopic method, and 6 of them treated with standard ACDF. Patients with clinical manifestations of myelopathy were excluded from the study. We have received high satisfaction with treatment in all cases. In a similar situation all patients would have been treated with ACDF in the majority of cases, however, DTI has allowed to detect the absence of myelopathy, thus providing the performance of endoscopic treatment with no fear of future manifestation of myelopathy, as well as to avoid potential risks associated with open surgery. According to our study, presurgical diagnostics is crucial for choosing the adequate surgical treatment. The use of DTI solves two problems at once, as it provides both conventional T2 and T1 images needed for surgical orientation, and estimates FA, suggesting the presence of developing myelopathic focus, and visualize corticospinal tracts if required. Patient selection is an important step in endoscopic treatment of cervical radiculopathy, due to several limitations of this approach. The use of endoscopy in treatment of vertebrogenic radiculopathy is a very perspective method and concords with the global trend towards minimally invasive surgery.
Comparative characteristics of patients with ischemic heart disease and stenosing atherosclerosis of the coronary arteries, depending on the parameters of the instantaneous wave-free ratio
Authors:   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Fursov Andrey N. , Potekhin Nikolaj P. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Chernov Sergey А. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Gaydukov Aleksey V. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Roik Roman О. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia, Bykova Liliya Yu. ,   Main Military Clinical Hospital named after academician N.N. Burdenko Russian Defense Ministry, Moscow, Russia
Published: April 2024

The paper presents a comparative analysis of 56 patients suffering from stable ischemic heart disease and coronary artery stenosis in the range of 65–90% depending on the instantaneous wave-free ratio (iFR). Two groups of 28 patients took part in the research. The index iFR was less than 0,80 in the first group, whereas it was more than 0,94 in the second. It reveals that the indexes of the pre-test probability of coronary artery disease (CAD) did not significantly differ among the groups of patients irrespective of the different iFR values. Patients with low iFR indexes (the first group) tend to have diabetes mellitus as the result of overweight, predominant systolic hypertension, diastolic myocardial dysfunction, atherogenic dyslipidemia, and visible signs of renal dysfunction. According to the exercise ECG Stress test results, the patients of the first group were more frequently diagnosed with symptoms of the myocardial ischemia and its electrical instability in the form of high gradations of ventricular extrasystole. The paper outlines that the previously described factors increase the probability of low iFR with the same initial pre-test probability of CAD, so they can be used as indicators of the advisability of performing endovascular interventions in patients with chronic coronary syndrome.
Efficacy and safety of oral anticoagulants in patients with atrial fibrillation
Authors:   Russian Medical Academy of Continuous Professional Education, Moscow, Russia, Bobyleva Tatyana A. , Тkachenko Sergey B. ,   Russian Medical Academy of Continuous Professional Education, Moscow, Russia, Каzаkоv Sergey P. ,   Russian Medical Academy of Continuous Professional Education, Moscow, Russia
Published: April 2024

The coagulation and platelet parameters of the hemostasis system in patients with paroxysmal and persistent forms of atrial fibrillation against the background of taking direct oral anticoagulants used for the prevention of ischemic stroke and other systemic thromboembolic events in this group of patients were analyzed. Self-cancellation and irregular intake of anticoagulant therapy is the cause of thrombosis risk in the studied patients.
Um estudo comparativo de algoritmos de aprendizado de máquina para classificação de tráfego em redes definidas por software
Authors: Alves Maia Nilton , De Freitas Arruda Victor , José Inácio Maurílio , Patta Marilee , Veloso Campos Marcel , Ferreira dos Santos Neto Narciso
Published: April 2024

As Redes Definidas por Software pode viabilizar o desenvolvimento de técnicas para melhorar o desempenho das redes IP com relação à segurança, qualidade de serviço e engenharia de tráfego. Este trabalho realizou um estudo comparativo de classificação de tráfego em duas topologias SDN utilizando redes neurais artificiais do tipo Multilayer Perceptron, Máquinas de Vetores de Suporte, Naive Bayes, K-Nearest Neighbor, Random Forest e o Ensemble. O desempenho dos classificadores foi avaliado através das métricas acurácia, precisão, revocação e f1-score. Foi realizada uma análise estatística através da aplicação do teste de Friedman e do teste post-hoc de Conover sobre os resultados obtidos pelos algorítmos classificadores. O Random Forest obteve o melhor resultado.
Estudo comparativo entre o SB Brasil 2003, 2010 e 2020
Authors: Rodrigues Mayra Auxiliadora Alves , Magalhaes Ataydes Dias
Published: April 2024

Trata-se de estudo transversal observacional analítico, com base nos dados secundários do SB Brasil, levantamento elaborado pelo Ministério da Saúde. Tal projeto, realizado no âmbito Política Nacional de Saúde Bucal (PNSB), se caracteriza pela coleta de dados por meio de pesquisa de abrangência nacional, com base domiciliar, em que são realizados exames bucais e aplicados questionários avaliativos com faixa etária definida entre 5 anos, 12 anos, 15 a 19 anos, 35 a 44 anos e 65 a 74 anos. Para condição dentária, foi utilizado o índice da OMS, de onde infere-se o CPO-D médio (dentição permanente) e o ceo-d (dentição decídua) que indicam a soma dos dentes cariados, perdidos e obturados. A proporção de indivíduos com cárie na dentição decídua, em 2020, é menor quando comparada aos valores obtidos nos levantamentos de anos anteriores. Para adultos e idosos, a perda dentária por cárie e a reabilitação protética, é o problema mais prevalente para a política de saúde bucal no SUS. As crianças lideram a necessidade de tratamento bucal imediato
Propuesta de mejora de un Sistema de Gestión de Seguridad y Salud en el Trabajo basado en la Norma ISO 45001 para la minimización de riesgos laborales en el Área de operaciones de una empresa logística en El Callao, 2019
Authors: Segura Vela Mariano Gonzalo Antonio , Lopez Kohler Jose
Published: April 2024

En el mundo actual es sumamente necesario actualizar de manera permanente los sistemas de gestión en las organizaciones y ello permita direccionar las actividades con eficiencia, seguridad, denotando ser una empresa de calidad. Las empresas están comprometidas con la mejora permanente de sus sistemas de seguridad y salud ocupacional, para salvaguardar el talento humano, garantizar la producción de bienes y servicios considerando la norma ISO 45001 y los estándares internacionales con la seguridad y salud ocupacional. Además que toda empresa tiene que adaptarse a los cambios del mercado, enfocados en el máximo rendimiento y con el uso eficiente de los recursos con que cuenta, en especial con el recurso humano. Se han aplicado en el estudio conocimientos y herramientas que se han adquirido a lo largo de la maestría en gestión integrada en seguridad salud ocupacional y medio ambiente, el autor propone un diseño del Sistema de Gestión de Seguridad y Salud Ocupacional (SGSSO), bajo los requisitos de la norma ISO 45001, para lo que se analiza la manera de mejorar el SGSSO, a partir del diagnóstico de la situación del mismo, para luego analizar el riesgo puro y riesgo residual y mediante una encuesta apreciar la percepción que se tiene desde el conocimiento de la SGSSO como los riesgos y la sensación de la seguridad, de riesgos, el nivel de incidentes y accidentes que se presentan y el compromiso por el mejoramiento continuo que se implementan en la propuesta del SGSSO que se impone, acompasado a las acciones correctivas y preventivas, y las decisiones que se asumen como tales para garantizar su propia SGSSO, ese es el proceso que se ha observado y ha permitido que se pueda minimizar los riesgos laborales en la empresa. (Resumido de: https://www.corgasa.pe/evaluacion-de-riesgo/ 27/02/2023). La investigación es aplicada, de carácter descriptivo, con un enfoque mixto: cualitativo y cuantitativo, para identificar mejor el impacto de la propuesta en la implementación del Sistema de Gestión de Salud Ocupacional. El presente documento se pone a vuestra consideración, análisis y alcances a fin de ser enriquecido.
Sobre el pasaje al acto criminal. Historia, definiciones, aspectos forenses
Authors: Avalos Antonio , Riquelme María José
Published: April 2024

El presente artículo se propone llevar a cabo una revisión exhaustiva de la literatura científica existente sobre esta modalidad conductual humana particular, impulsiva y transitoria, que escapa al control consciente del sujeto, desde un enfoque psicopatológico y forense. Para ello, se realizarán puntualizaciones históricas de los diferentes matices de la temática, proporcionando una visión panorámica y crítica de la misma. Se puede decir que se trata de memorias implícitas acerca de situaciones traumáticas pasadas que, a raíz de una reedición presente del evento displacentero mediante un mecanismo disociativo, generan en el individuo una reacción impulsiva agresiva, sobre la cual la persona no dispone de control ni conciencia. Este tipo de comportamiento abre el debate, en el marco de la Psicología y Psiquiatría Forense, sobre la  capacidad que tienen los acusados de un crimen, de comprender la criminalidad del acto y dirigir sus acciones, presentando un desafío controversial para los tribunales de diferentes países. Así mismo, es menester poder entender estas conductas, desarrollar estrategias de prevención más adecuadas, plantear los nuevos abordajes terapéuticos frente al trauma psicológico e interveniren estas conductas delictivas que ponen en peligro la seguridad, así como el bienestar de la sociedad.
Enhancing Predictive Maintenance in Water Treatment Plants through Sparse Autoencoder Based Anomaly Detection
Authors: Z Hussein , V Balaji , R Ramesh , L Arokia Jesu Prabhu , Rachapudi Venubabu , V Eswaramoorthy
Published: April 2024

The deployment of Machine Learning (ML) for improving Water Treatment Plants (WTPs) predictive maintenance is investigated in the present article. Proactively detecting and fixing functional difficulties which might cause catastrophic effects has historically been an endeavour for reactive or schedule-based maintenance methods. Anomaly Detection (AD) in WTP predictive maintenance frameworks is the primary goal of this investigation, which recommends a novel approach based on autoencoder (AE)-based ML models. For the objective of examining high-dimensional time-series sensor data collected from a WTP over a long time, Sparse Autoencoders (SAEs) are implemented. The data collected involves an array of operational measurements that, evaluated together, describe the plant's overall performance. With the support of the AE, this work aims to develop a practical framework for WTP operation predictive maintenance. Anomalies are all system findings from testing that might result in flaws or malfunctions. The research article analyses January and July 2023 WTP data from Jiangsu Province China. The AE paradigm had been evaluated using F1-scores, recall, accuracy, and precision. SAE has substantially improved AD functionality.
Hybrid Optimization Model Integrating Gradient Descent and Stochastic Descent for Enhanced Osteoporosis and Osteopenia Recognition
Authors: T Ramesh , V Santhi
Published: April 2024

Osteoporosis and osteopenia, prevalent bone diseases affecting millions of people globally, necessitate accurate early diagnosis for effective treatment and fracture prevention. This paper proposes a novel hybrid optimization algorithm tailored for classifying these conditions based on Bone Mineral Density (BMD) measurements. The algorithm, a customized Mini-Batch Gradient Descent (MBGD), blends the advantages of Gradient Descent (GD) and Stochastic Gradient Descent (SGD), addressing specific needs for osteoporosis and osteopenia classification. Utilizing a dataset comprising BMD measurements and clinical risk factors from the Osteoporotic Fractures in Men (MrOS), Study of Osteoporotic Fractures (SOF), and Fracture Risk Assessment (FRAX), the model achieves an impressive accuracy of 99.01%. The proposed model outperforms existing methods, demonstrating superior accuracy compared to the accuracy obtained in Gradient Descent of 97.26%, Stochastic Gradient Descent of 97.23%, and other optimization algorithms such as Adam of 96.45% and the RMSprop of 96.23%. This hybrid model presents a robust framework for early diagnosis of Osteoporosis and osteopenia, and hence there is an enhancement in quality of life.
Optimizing Building Energy Management with Deep Reinforcement Learning for Smart and Sustainable Infrastructure
Authors: Alsharafa Nabeel S. , R Suguna , Krishna Raguru Jaya , Sonthi Vijaya Krishna , S M Padmaja , P Mariaraja
Published: April 2024

This study develops a new technique for optimising Energy Consumption (EC) and occupant satisfaction in business centres using Building Energy Management Systems (BEMS) that implement Deep Reinforcement Learning (DRL). Energy Management Models (EMM) are growing increasingly advanced and vital for intelligent power systems due to the growing demand for energy efficiency and the adoption of Renewable Energy Sources (RES), which are subject to variability. Flawed energy Consumption (EC) and problems are typical effects of traditional BEMS due to their unpredictability and failure to adapt to new environments. In this intended investigation, a DRL framework is demonstrated that may evolve its decision-making in real-time to control energy savings, electricity, and HVAC through input from the environment in which it operates. A pair of significant metrics, namely the cost of energy and room temperature stability, are employed to assess the effectiveness of the model compared to that provided by conventional rule-driven and predictive control systems. As investigated with different baseline models, the experimental findings proved that the DRL approach significantly reduced the cost of electricity while maintaining stable levels of comfort.
Monkeypox Detection using CSA Based K-Means Clustering with Swin Transformer Model
Authors: M Prabhu , A Sathishkumar , G Sasi , Yong Lau Chee , M C Shanker , K Selvakumarasamy
Published: April 2024

Despite the global COVID-19 pandemic, public health professionals are also concerned about a possible new monkeypox epidemic. Similar to vaccinia, cowpox, and variola, the orthopoxvirus that causes monkeypox has two strands that are double-stranded. Many people have propagated the current pandemic through sexual means, particularly those who identify as bisexual or gay. The speed with which monkeypox was detected is the most important element here. In order to catch monkeypox before it infects more people, machine learning could be a huge help in making a quick and accurate diagnosis. Finding a solution is the driving force behind this project, which aims to develop a model for detecting monkeypox using deep learning and image processing. For optimal cluster selection during photo segmentation, the Chameleon Swarm Algorithm (CSA) employs K-means clustering. Examining the accuracy with which the Swin Transformer model identified instances of monkeypox was the driving force for this study. The proposed techniques are evaluated on two datasets: Kaggle Monkeypox Skin Lesion Dataset (MSLD) besides the Monkeypox Skin Image Dataset (MSID). We assessed the outcomes of various deep learning models using sensitivity, specificity, and balanced accuracy. Positive results from the projected process raise the possibility of its widespread application in monkeypox detection. This ingenious and cheap method can be put to good use in economically deprived communities that may not have access to proper laboratory facilities.
Optimal Power Flow in Hybrid AC/DC Microgrid using ANN for Cost Minimization
Authors: Yamuna Pagidela , N Visali
Published: April 2024

Currently, this work lays the ground work for sophisticated control methods and decision support systems in hybrid microgrid operations by providing insightful information about integrating artificial intelligence for improved microgrid control. In this work, a neural network (NN) method is proposed for power flow analysis in an IEEE 12-bus-based Hybrid AC/DC Microgrid. The study optimizes power dispatch, minimizes expenses, and minimizes losses in both AC and DC components. Simulation is carried using MATLAB software and the results are presented and analysed. The accuracy of the NN’s predictions of active power flows is demonstrated by training it on historical data and validating it on real-time observations. Regression plots comparing anticipated and real values demonstrate the effectiveness of NN-based analysis in reaching the ideal power distribution.
Micro-Doppler based Human Activity Recognition using ABOA based Dual Spatial Convolution with Gated Recurrent Unit
Authors: V Joseph Michael Jerard , Yarramsetti Sarojini , G Vennira Selvi , N V S Natteshan
Published: April 2024

The through-wall capability, device-free detection of radar-based human activity recognition are drawing a lot of interest from both academics and industry. The majority of radar-based systems do not yet combine signal analysis and feature extraction in the frequency domain and the time domain. Applications like smart homes, assisted living, and monitoring rely on human identification and activity recognition (HIAR). Radar has a number of advantages over other sensing modalities, such as the ability to shield users' privacy and conduct contactless sensing. The article introduces a new human tracking system that uses radar and a classifier called Dual Spatial Convolution Gated Recurrent Unit (DSC-GRU) to identify the subject and their behavior. The system follows the person and identifies the type of motion whenever it detects movement. One important feature is the integration of the GRU with the DSC unit, which allows the model to simultaneously capture the spatiotemporal dependence. Present prediction models just take into account spatial features that are immediately adjacent to each other, disregarding or just superimposing global spatial features when taking spatial correlation into account. A new dependency graph is created by calculating the correlation among nodes using the correlation coefficient; this graph represents the global spatial dependence, while the classic static graph represents the neighboring spatial dependence in the DSC unit. The DSC unit goes a step further by using a modified gated mechanism to quantify the various contributions of both local and global spatial correlation. While previous models performed worse, the suggested model outperformed them with an accuracy of 99.45 percent and a precision of 97.15 percent.
AROA based Pre-trained Model of Convolutional Neural Network for Voice Pathology Detection and Classification
Authors: J Manikandan , K Kayalvizhi , Nachimuthu Yuvaraj , R Jeena
Published: April 2024

With the demand for better, more user-friendly HMIs, voice recognition systems have risen in prominence in recent years. The use of computer-assisted vocal pathology categorization tools allows for the accurate detection of voice pathology diseases. By using these methods, vocal disorders may be diagnosed early on and treated accordingly. An effective Deep Learning-based tool for feature extraction-based vocal pathology identification is the goal of this project. This research presents the results of using EfficientNet, a pre-trained Convolutional Neural Network (CNN), on a speech pathology dataset in order to achieve the highest possible classification accuracy. An Artificial Rabbit Optimization Algorithm (AROA)-tuned set of parameters complements the model's mobNet building elements, which include a linear stack of divisible convolution and max-pooling layers activated by Swish. In order to make the suggested approach applicable to a broad variety of voice disorder problems, this study also suggests a unique training method along with several training methodologies. One speech database, the Saarbrücken voice database (SVD), has been used to test the proposed technology. Using up to 96% accuracy, the experimental findings demonstrate that the suggested CNN approach is capable of detecting speech pathologies. The suggested method demonstrates great potential for use in real-world clinical settings, where it may provide accurate classifications in as little as three seconds and expedite automated diagnosis and treatment.
Ideal Type and Essential Type — They Need Each Other
Authors: Sul Jae Ryeong
Published: April 2024

In light of the ongoing validity crisis in psychiatric classification, phenomenologically oriented psychiatric study has gained traction. This paper assesses two modes of investigation proposed by phenomenologists in studying mental disorders: the ideal type approach and the essential
type approach. Despite the recent suggestion that they are antithetical approaches, I argue that they should constantly constrain and inform each other. In short, I advance a mutual complementarity thesis. Having established this thesis, I conclude by demonstrating how this proposal can function
as an heuristic strategy for effectively facilitating the recently proposed psychiatric research initiative, i.e. the ontological project of phenomenological psychopathology.
Educación médica en cuidados al final de la vida
Authors: Navarrete Laguna Rosa Iris , Martínez Montes Roberto José
Published: April 2024

Este artículo se enfoca en evidenciar la importancia del componente educativo para los cuidados al final de la vida en la formación académica del médico de pregrado, para ello se realizó una búsqueda en diferentes portales electrónicos. Se identificaron 293 estudios, de los cuales se seleccionaron 18 que abordaban el tema desde la educación médica. Para la presentación y evaluación de la calidad de los datos se utilizó el método PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) y el sistema GRADE (Grading of Recommendations, Assessment, Development and Evaluation). Se identificó una tendencia positiva hacia la educación médica en cuidados al final de la vida con diferentes enfoques pedagógicos y programas que incluyen rotaciones clínicas y simulación, con evidencias de efectividad en el desarrollo de competencias, sin embargo, también se identificaron desafíos, como escaso tiempo dedicado en el currículo e insuficiencias respecto a la comunicación y la empatía hacia los pacientes en esta etapa. Se recomiendan esfuerzos para fortalecer la promoción de la empatía y la comunicación efectiva del médico.
Revisión documental de las publicaciones en la enseñanza de la bioética en facultades de medicina de Latinoamérica
Authors: Torres Mendoza Mayara Valeska , Zepeda Gutiérrez Darling Odily
Published: April 2024

La bioética, es el estudio de los conflictos éticos que se derivan de los avances de la ciencia, medicina y de la conducta humana en el ámbito de las ciencias de la vida y el cuidado de la salud. (Sánchez, 2013). La pregunta principal que se plantea en la presente revisión sistemática es que, si, la enseñanza de la bioética en estudiantes de medicina, realmente: ¿cambia comportamientos? El objetivo es describir las características de los estudios individuales realizados en las universidades de Latinoamérica con facultades de medicina que enseñan bioética en su pensum académico. Se revisó 17 fuentes bibliográficas, dentro de ellas 13 bases de datos y 5 fuentes adicionales. Se analizó 531 artículos, de ellos se seleccionaron 22 para su revisión (17 identificadas en las bases de datos y 5 identificadas en otras fuentes). Se eliminaron 3 artículos duplicados, quedando 19 antes del cribado. El método utilizado en esta investigación fue el protocolo PRISMA. Se utilizó como estrategia de selección de los criterios de elegibilidad la metodología PICO, donde se procedió a la exclusión de 16 artículos y la inclusión de 3 artículos. Como resultado se obtuvo que las representaciones sociales de bioética en mujeres se centraron en la palabra “ética” y en los hombres se concentró en la palabra “moral”. Según los alumnos, las prácticas morales y las técnicas de enseñanza que más movilizaron a las clases fueron: las prácticas deliberativas - discusión de películas y / o series de televisión y discusiones de casos. Se halla una relación consistente y significativa entre razonamiento moral y sensibilidad ética. Las mujeres presentan mayor razonamiento posconvencional, es decir, mayor desarrollo moral. En conclusión, en Latinoamérica, no hay suficientes estudios en las universidades con facultades de medicina, que evidencien los cambios de comportamientos en los estudiantes de medicina después de haber recibido bioética en su pensum académico.
Understanding quality characteristics of EdTech interventions and implementation for disadvantaged pupils: Coding tool for a systematic review with meta-analysis
Authors: Haßler Björn , McBurnie Chris , Walker Hannah , Klune Christopher
Published: April 2024

An output of the Open Development & Education, https://opendeved.net/
Integrasi Berpusat pada Masyarakat: Memanfaatkan Kearifan Lokal Danau Tangkas untuk Pemberdayaan Ekonomi Pedesaan
Authors: Zevaya Faradina , Paradillah Fina , Muarifin M , Padang Evi , Wahyudin Rifan
Published: April 2024

Desa Tanjung Lanjut, Kecamatan Sekernan, Kabupaten Muaro Jambi, memiliki potensi wisata, salah satunya adalah Danau Tangkas. Daya tarik utama danau ini adalah pohon putat (Planchonia valida) dengan bunga berwarna merah yang mekar sekitar Juli hingga Agustus setiap tahun. Nuansa alam dan sejuk membuat danau ini nyaman dijadikan tempat berwisata. Namun, meski memiliki potensi wisata yang besar, pemberdayaan masyarakat Desa Tanjung Lanjut dalam melestarikan dan memanfaatkan kearifan lokal masih belum optimal. Beberapa program telah dijalankan untuk mengatasi masalah ini, termasuk sosialisasi pentingnya pengembangan sektor pariwisata, kegiatan membatik, serta pemberdayaan Usaha Mikro, Kecil dan Menengah (UMKM). Oleh karena itu, kegiatan pengabdian yang telah dilaksanakan bertujuan untuk memberikan pembinaan kepada masyarakat Desa Tanjung Lanjut dalam memanfaatkan potensi ekonomi kreatif desa. Dengan demikian, diharapkan masyarakat dapat meningkatkan kesejahteraan mereka sambil tetap melestarikan kearifan lokal sebagai bentuk pengembangan unit usaha kreatif.
Exploring the dynamics of fintech usage behavior moderated by customer characteristics in Indonesia
Authors: Cahyadi Hadi , Tarigan Ribka Putrita , Masman Ronnie Resdianto , Trisnawati Estralita , Wijaya Henryanto
Published: April 2024

This research examines the factors influencing the adoption of Fintech services in Indonesia, focusing on perceived risk, perceived benefit, perceived usefulness, perceived ease of use, trust, and Fintech usage intention. Data from 317 users of payment Fintech services in Indonesia was collected through a Google Form questionnaire and analyzed using Smart PLS 4.0. The study reveals that perceived usefulness, perceived ease of use, and trust significantly impact Fintech usage intention and subsequent behavior, particularly among millennials and Gen Z. Customer attributes such as age and gender show minimal impact, while education level, especially advanced degrees, strengthens the link between perceived usefulness and intention to use. The results contribute to understanding the Fintech sector in Indonesia and suggest potential areas for future research. The study is limited to payment Fintech in Indonesia and recommends broadening the scope for future research. To enhance future research, it is recommended to broaden the study scope to include various fintech types, expand the geographical coverage for diverse results, and encompass a wider range of ages and education levels among respondents for a more comprehensive understanding of fintech adoption.
A educação em Kant: contribuições da obra ‘‘Sobre a Pedagogia’’
Authors: Mendonça Rhebeca Oliveira , Gomes Andréa Leandro , Schulz Almiro , Castarataro Matias
Published: April 2024

A visão de Immanuel Kant (2012) sobre a educação abrange tanto sua dimensão prática quanto sua profundidade filosófica, especialmente ao considerá-la como um instrumento fundamental na formação do indivíduo moral. A partir do princípio kantiano de que a moralidade não é inata, mas sim adquirida, a educação assume um papel crucial ao oferecer o caminho para a conquista da autonomia moral. Nessa perspectiva, surge a indagação: de que maneira a prática educacional pode conduzir o indivíduo rumo à autonomia e, consequentemente, à formação de indivíduos moralmente íntegros? Com base nos escritos de Kant, este artigo se propõe a investigar a inter-relação entre educação, moralidade e autonomia, com o intuito de embasar uma abordagem filosófico-pedagógica voltada para a formação de indivíduos moralmente conscientes. O pensamento kantiano emerge como um guia significativo para refletir sobre os processos educacionais e a moldagem de indivíduos éticos na contemporaneidade, fornecendo um arcabouço teórico robusto para compreender e promover a educação voltada para a construção de uma sociedade fundamentada em valores morais sólidos. Os resultados deste estudo possuem um potencial significativo para influenciar tanto as práticas educacionais quanto o pensamento acadêmico, sendo assim, pode promover uma mudança significativa no cenário educacional, incentivando uma abordagem mais holística e orientada para valores na formação das futuras gerações.
Alumínio – uma análise do seu contexto histórico, da reciclabilidade à transmissão energética
Authors: Rosa Silvio Cesar Ferreira da , Kipper Liane Mahlmann , Moraes Jorge André Ribas , Silva André Luiz Emmel , Viña Franciele
Published: April 2024

O alumínio tem sido na atualidade um dos metais, de fácil acesso, versáteis para aplicações e desenvolvimento de diversos produtos. Suas propriedades físicas e químicas o tornam uma escolha segura para situações que exigem resistência mecânica, leveza, boa condutividade elétrica e baixa suscetibilidade à corrosão. A partir de uma revisão de literatura, este artigo tem por objetivo fazer uma retomada do seu contexto histórico entregando ao leitor uma clara ambientação do seu desenvolvimento, ao passo que demonstra seus processos de transformação, além de seus usos e potencialidades. A partir de sua caracterização teórica, o alumínio de segunda geração, pós-reciclagem, tenta competir em igualdade com o alumínio de primeira geração, tendo ao seu favor a economia energética. O alumínio está claramente tomando o lugar do cobre, fato que ambientalmente é saudável levando-se em consideração a disponibilidade global de ambos os metais. Infelizmente, os processos de reciclagem não têm acompanhado a crescente evolução, deixando seus atores à margem da sociedade em muitos casos. Tornar estes processos eficientes, rápidos e agregar valor ao reciclado pode ser uma oportunidade para melhorar o contexto social de várias comunidades de catadores e recicladores. Como resultado desta pesquisa, conseguiu-se observar que: em função da necessidade do aumento da reciclagem e seu funcionamento em circuitos fechados para uma melhor qualidade do reciclado disponibilizado; além da necessidade do aumento da disponibilidade do alumínio de segunda geração; as novas tecnologias como: o reconhecimento visual eletrônico automático, voltado para a etapa da reciclagem; atomização e processos de manufatura 3D, voltados para as etapas de produção; e a soldagem laser, voltada para a parte de união dentre partes, ou filamentos, podem propiciar, ao alumínio de segunda geração, qualidades técnicas muito próximas ao metal original.
PENGARUH STRUKTUR MODAL DAN STRUKTUR AKTIVA SERTA UKURAN PERUSAHAAN TERHADAP KINERJA KEUANGAN PERBANKAN YANG GO PUBLIK
Authors: Sazili Ahmad
Published: April 2024

Latar belakang dalam penelitian ini adalah Salah satu cara yang digunakan untuk mengukur nilai perusahaan khususnya perbankan adalah menggunakan indikator untuk mengukur kinerja perusahaan, Rumusan masalah dalam penelitian ini adalah 1) Upaya apa yang dilakukan penyidik Unit Pidana Khusus Satuan Reserse Kriminal Kepolisian Apakah terdapat pengaruh struktur modal secara parsial terhadap kinerja keuangan perbankan yang go publik?, Apakah terdapat pengaruh struktur aktiva secara parsial terhadap kinerja keuangan perbankan yang go publik?, Apakah terdapat pengaruh ukuran perusahaan secara parsial terhadap kinerja keuangan perbankan yang go publik?, Apakah terdapat pengaruh struktur modal dan struktur aktiva serta ukuran perusahaan secara simultan terhadap kinerja keuangan perbankan yang go publik?. Metode penelitian yang digunakan adalah Penelitian ini merupakan penelitian asosiatif kausal dengan menggunakan pendekatan kuantitatif. Model analisis yang digunakan adalah linear berganda. Berdasarkan hasil penelitian menunjukkan bahwa Terdapat pengaruh struktur modal secara parsial terhadap kinerja keuangan perbankan yang go publik, Terdapat pengaruh struktur aktiva secara parsial terhadap kinerja keuangan perbankan yang go publik, Terdapat pengaruh ukuran perusahaan secara parsial terhadap kinerja keuangan perbankan yang go publik, Terdapat pengaruh struktur modal dan struktur aktiva serta ukuran perusahaan secara simultan terhadap kinerja keuangan perbankan yang go publik
AUDIT KEPATUHAN TERHADAP PROSEDUR PEMBERIAN VAKSIN DI PUSKESMAS NAGASWIDAK PALEMBANG DALAM PENANGANAN CORONA VIRUS DISEASE (COVID-19)
Authors: Ali Muhamad Rivan , Faitullah Faitullah , Rosalin Feronika , Fikriyansyah Ahmad
Published: April 2024

Di awal tahun 2020, dunia digemparkan dengan adanya kemunculan Virus Corona atau Corona Virus Disease 2019 (Covid-19). Awal mula penyebaran virus ini terjadi pada akhir tahun 2019 di Wuhan Tiongkok. Salah satu penanganan yang disinyalir efektif dalam menghadapi Covid-19 adalah melalui penyelenggaraan vaksinasi. Puskesmas Nagaswidak Palembang menjadi salah satu penyalur vaksin Covid-19 bagi masyarakat sebagai bentuk kepedulian pemerintah dalam penanganan Covid-19 di kota Palembang. Dalam pemberian vaksin Covid-19 di puskesmas Nagaswidak terdapat beberapa SOP yang telah dibuat berdasarkan Peraturan Menteri Kesehatan (PERMENKES) dan telah disahkan oleh pimpinan puskesmas Nagaswidak yang harus dilaksanakan dan dipatuhi oleh tim vaksinator. Audit kepatuhan dimaksudkan untuk mengetahui apakah tim vaksinator puskesmas Nagaswidak Palembang sudah mentaati peraturan-peraturan (SOP) dan kebijakan yang berlaku pada pemberian vaksin Covid-19. Tujuan dari penelitian ini adalah untuk mengetahui apakah prosedur pemberian vaksin Covid-19 di Puskesmas Nagaswidak Palembang sudah sesuai dengan SOP yang telah ditetapkan. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif. Hasil dari penelitian ini menunjukkan bahwa pemberian vaksin Covid-19 di puskesmas Nagaswidak Palembang telah dilaksanakan sesuai SOP yang telah ditetapkan akan tetapi masih ada beberapa petugas vaksinator yang tidak mentaati SOP pemberian vaksin Covid-19.
Jester Lock - A Windows Based File Locker Locker
Authors:   UG Student 5staff, AIDS Panimalar Engineering College Chennai, R. R. ,   UG Student staff, AIDS Panimalar Engineering College Chennai,   UG Student staff, AIDS Panimalar Engineering College Chennai,   UG Student staff, AIDS Panimalar Engineering College Chennai,   UG Student staff, AIDS Panimalar Engineering College Chennai, .. P. , Gurumurthi M. , Hareshanmuhan V. , Sathya V.
Published: April 2024

Windows based app locker have always been there in the app market, but only provide minimal security with the traditional security features like PIN, password. Moreover, the locked file folder would be visible to everyone which only limits the access, which doesn’t completely preserve the privacy of the user. Hence there is a need of a Windows application that preserves the privacy along with the modern-day security features. In this paper, we have proposed a Windows based file locker application that uses face and emotion recognition along with an interactive GIF interface and have discussed its features.