bluuebunny/crossref_metadata_2025 huggingface dataset:
Tratamento endodôntico em crianças com necessidades especiais
Authors: Leão Nathasha Moraes , Cavalcante Emille Brasil , Nunes Eduardo da Costa
Published: November 2024

O tratamento odontológico em crianças com necessidades especiais demanda uma abordagem individualizada e abrangente, considerando fatores como dieta, higiene oral e particularidades do dente. A revisão da literatura destaca a relevância desses elementos na cicatrização periapical após o tratamento endodôntico. Além disso, a adoção de um protocolo de tratamento em uma única visita sob anestesia geral demonstra ser uma alternativa viável, apresentando resultados comparáveis ou superiores aos métodos convencionais em múltiplas sessões. A avaliação minuciosa dos pacientes e a integração de uma equipe multidisciplinar, incluindo cuidadores e profissionais de saúde, são cruciais para assegurar resultados satisfatórios e o bem estar á longo prazo. Este estudo enfatiza a importância da personalização do tratamento odontológico em crianças com necessidades especiais, destacando a necessidade de uma abordagem holística e humanizada para alcançar o sucesso clínico e o cuidado integral do paciente.
Relation of Serum Level of Tramadol With Consumption Dose and Time
Authors: Habibollahi Paria , Garjani Alireza , Shams Vahdati Samad
Published: November 2024

Background: This study aimed to find out the relationship between the serum level of tramadol and consumption dose and the time interval between the drug consumption and arrival at the emergency department (ED). Methods: This was a prospective cross-sectional study that included all patients who came to the ED of Sina hospital, a poisoning center, due to the consumption or abuse of tramadol within 6 months. Among these patients, those with unreliable history and history of drug use, those whose primary toxicologic screening in the ED indicated opioids and buprenorphine, and those who used tramadol chronically due to underlying disease were excluded from the study. Demographic characteristics of the patients, the type of consumed drug, the reason for use, the type of complication, and the outcome of the patient extracted from the documentation, blood samples obtained from the patients after obtaining informed consent, and the serum level of tramadol were checked and recorded using the capillary electrophoresis (CE) device. Results: The study investigated the serum levels of tramadol in 43 male patients presenting to the ED due to tramadol consumption or abuse. The median age was 30 years. All patients were male, and the median dose of utilized tramadol was 2000 mg. The average time from consumption to referral was 6 hours, and 14% of patients experienced seizures after taking the medication. The median serum level of tramadol was 46.12 mmol/dL. Furthermore, quadratic regression analysis revealed no significant relationship between tramadol serum levels with the dose (P=0.233) and the interval (P=0.682) between drug consumption and seeking medical attention. Conclusion: These findings suggested that serum levels of tramadol do not correlate with the administered dose or the time elapsed before seeking medical help.
LA ESPIRITUALIDAD COMO CUARTA DIMENSIÓN DEL CONCEPTO DE SALUD.
Authors: Geli Fábrega Marina , Marc De San Pedro López Marc De San Pedro López , Jiménez Hernández Daniel , Rota-Musoll Laura , Mondejar Puente Meritxell , Chirveches Pérez Emília
Published: November 2024

La salud integral no sólo incluye dimensiones físicas, mentales y sociales, sino que también integra la espiritualidad como componente fundamental. Este artículo explora cómo la dimensión espiritual contribuye al bienestar humano y destaca la necesidad de separarla del concepto tradicional de religión para facilitar su integración en un contexto multicultural. Mediante el análisis de la literatura y la revisión de prácticas existentes, se proponen estrategias para incorporar la Salud Espiritual en la atención sanitaria, estableciendo las bases de nuevas disciplinas como la e-Salutogénesis (Sentido de Coherencia) en la sociedad digital.
Togetherness Reminded by the Earthquake: Relationship Between Stress and Peptic Ulcer Perforation
Authors: Yönder Hüseyin , Berhuni Mehmet Sait , Elkan Hasan , Tatlı Faik , Kocaoğlu Mehmet , Erdoğdu Hamza , Çiftçi Felat , Erkmen Fırat , Yüksekyayla Baran , Özgönül Abdullah , Uzunköy Ali
Published: November 2024

Background: Severe stress is one of the leading causes of peptic ulcer perforations. Peptic ulcer perfora-tion is a clinical condition that can be fatal if not treated urgently. This study aimed to investigate the effects of social stress caused by the earthquakes in Kahramanmaraş on peptic ulcer perforation.
Materials and Methods: A retrospective evaluation was conducted on 66 peptic ulcer perforation cases operated on in three major centers in Şanlıurfa, considering two large earthquakes that occurred on February 6, 2023, and by comparing the 6-month periods before and after the earthquakes. Patients were assessed in terms of age, gender, diagnostic method, perforation site, surgical technique, operation time, length of hospital stay, and mortality. Our study also evaluated laboratory parameters such as white blood cell (WBC) count, hemoglobin, urea, creatinine, and albumin levels.
Results: In the 6 months prior to the earthquakes, 21 patients underwent surgery for peptic ulcer perfo-ration, whereas 45 patients were operated on for the same reason in the 6 months following the earthquakes; there were two deaths in each group. The number of patients operated on after the earthquakes was significantly higher than the number of patients operated on before the earthquakes. Furthermore, the two groups were also compared in terms of demographic data and laboratory findings; no significant differences between the two groups were observed regarding these parameters.
Conclusions: Stress plays a remarkable role in the development of peptic ulcer perforation. In stressful situations that affect the general population, such as earthquakes, it is essential to assess stress tenden-cies and dyspeptic complaints in patients presenting to the hospital. Patients with positive findings should undergo endoscopy if necessary, followed by appropriate gastric treatment.
El futuro es hoy, de la prestación de salud nefrológica con calidad
Authors: Arley Vargas Diego Armando
Published: November 2024

La calidad en nefrología, así como en medicina, es una necesidad real y aunque se contempla con parámetros clínicos de manera clara, no hay parámetros subjetivos derivados de la percepción del paciente, integrar este parámetro a las escalas es un reto que podría solventarse con al advenimiento de la inteligencia artificial en el sector salud. Para los pacientes con enfermedad renal crónica en terapia de hemodiálisis el cuidado del acceso vascular es una preocupación constante, además para el sector salud no solo es importante para lograr mejorar los síntomas de la enfermedad con una sesión de diálisis adecuada sino reducir las complicaciones y los costes asociados por la morbimortalidad. Se realiza una revisión de la literatura, así como un estudio observacional cualitativo de la unidad de hemodiálisis del Hospital San Juan de Dios para determinar el estado frente a un estándar da calidad internacional, donde se determina que se requiere implementar sistemas de gestión de calidad en las diferentes unidades y servicios del país, pero para ello es indispensable el cambio de una calidad basada en resultados a una calidad basada en procesos, o un sistema de gestión inteligente con incorporación de la inteligencia artificial.
Different perspectives on the reception and appropriation of Piagetian ideas in the Brazilian context
Authors: Gomes William Barbosa , Siqueira Itamar Padrão
Published: November 2024

The recently released book The transnational legacy of Jean Piaget: a view from the 21st century, published by Springer Nature, aims to internationally disseminate the studies carried out by the Helena Antipoff Documentation and Research Center (CDPHA) at the Federal University of Minas Gerais. Organized and edited by Regina Helena de Freitas Campos and Erika Lourenço (UFMG), in partnership with Marc J. Ratcliff (Université de Genève), the book has 19 chapters that explore various aspects of Piaget's influence. Among the topics covered, the following stand out: the clinical method for monitoring and intervening in the demands of children and adolescents; the historical-critical method for analyzing the interaction between internal and external factors in the History of Science; the right to education as a basis for intellectual and moral development; the promotion of peace; and multiculturalism as a tool for facilitating communication between different perspectives.
Property Rights on the Moon
Authors: Sulaiman Hamda Bin , Abaas Sheer
Published: November 2024

Today, space exploration has continued to gain popularity as developed countries venture into outer space. More modern instruments and facilities are constantly being developed to ensure that space exploration is done extensively to find out better and additional resources to suffice human survival. However, this advancement in knowledge and technology comes with both pros and cons. While it is a great advantage for finding an alternative option for survival, this exploration has stirred the need to define the property rights on the moon. This is mainly to create boundaries on exploitation as well as limit ownership of property on the moon. As a result, nations formed treaties and agreements to guard outer space such as the moon from exploitation. This paper will target the essence of this discussion by beginning with the history of the 1967 treaty and its subsequent developments. More information supporting this discussion on property ownership will highlight the various aspects of international law and its impact on moon exploration. While the need to have property rights on the moon is inevitable the law has its own deficiencies following the generalities of the treaties. However, continued efforts to grow and be impactful are needed such as the application of the United Arab Emirates space law regarding property rights on the moon.
Zero-shot Video Change Detection for Real-life Industrial Applications
Authors: Alam Mahbubul , Zhuge Huimin , Gonzalez Teresa , Farahat Ahmed , Wang Song , Gupta Chetan
Published: November 2024

Change detection is crucial for various industrial applications. Although image change detection datasets are abundant, the collection of labeled video data is time-consuming, expensive, and cumbersome. This scarcity of labeled data motivates the development of few-shot or zero-shot video change detection techniques which may generalize well to new situations. Existing video change detection methods require large amounts of labeled data, are task-specific, and difficult to generalize. Therefore, in this paper, we propose a zero-shot video change detection algorithm using pre-trained deep learning models and conventional image processing techniques. Our approach identifies matching frames from input videos, adjusts lighting conditions if necessary, and uses an existing object detection model to identify objects in both frames. The method is easily generalizable by making few changes. We evaluate our proposed method on the VDAO dataset collected in a cluttered industrial environment and demonstrate its effectiveness in detecting changes between pairs of videos containing single and multiple objects.
AI+AR based Framework for Guided Visual Diagnosis of Equipment
Authors: Gonzalez Diaz Teresa , Lee Xian Yeow , Zhuge Huimin , Vidyaratne Lasitha , Sin Gregory , Watanabe Tsubasa , Farahat Ahmed , Gupta Chetan
Published: November 2024

Automated solutions for effective support services, such as failure diagnosis and repair, are crucial to keep customer satisfaction and loyalty. However, providing consistent, high quality, and timely support is a difficult task. In practice, customer support usually requires technicians to perform onsite diagnosis, but service quality is often adversely affected by limited expert technicians, high turnover, and minimal automated tools. To address these challenges, we present a novel solution framework for aiding technicians in performing visual equipment diagnosis. We envision a workflow where the technician reports a failure and prompts the system to automatically generate a diagnostic plan that includes parts, areas of interest, and necessary tasks. The plan is used to guide the technician with augmented reality (AR), while a perception module analyzes and tracks the technician’s actions to recommend next steps. Our framework consists of three components: planning, tracking, and guiding. The planning component automates the creation of a diagnostic plan by querying a knowledge graph (KG). We propose to leverage Large Language Models (LLMs) for the construction of the KG to accelerate the extraction process of parts, tasks, and relations from manuals. The tracking component enhances 3D detections by using perception sensors with a 2D nested object detection model. Finally, the guiding component reduces process complexity for technicians by combining 2D models and AR interactions. To validate the framework, we performed multiple studies to:1) determine an effective prompt method for the LLM to construct the KG; 2) demonstrate benefits of our 2D nested object model combined with AR model.
Use of Tach from Vibration to Estimate Bearing Spall Length
Authors: Bechhoefer Eric , Matania Omri , Bortman Jacob
Published: November 2024

Vibration analysis is often used for bearing fault diagnostics. Envelope analysis or other cyclo-stationary processes can capture a fault feature or condition indicator that is correlated to the spall length. However, no study has defined a process for estimating spall length on real-world data. The problem is that the spall length is a time-domain property of the signal. This paper generates a synthetic tachometer signal from the fault itself. It is synchronous to the rolling element exit from the spall, allowing for a time-domain representation of waveform using the time synchronous average. From this, an estimate of the length of the bearing fault can be determined.
Online and Offline Fault Detection and Diagnostics in a Nuclear Power Plant Condenser
Authors: Ifeanyi Ark , Coble Jamie
Published: November 2024

Nuclear power plants (NPPs) face significant financial pressures due to operational and maintenance costs. This research investigates Fault Detection and Diagnostics (FDD) techniques to optimize maintenance schedules and reduce expenses. The NPP condenser plays a critical role in converting turbine exhaust steam back into water for reuse. Condenser tube fouling, a prevalent fault mode, impedes heat transfer efficiency and can lead to decreased plant efficiency and safety risks. This study proposes an FDD framework that leverages raw signal analyses from temperature and pressure monitoring to detect and diagnose condenser tube fouling in both online and offline settings. The online approach facilitates close-to-real-time predictions, enabling proactive maintenance strategies. Additionally, the framework explores incorporating a condenser’s maintenance history for enhanced diagnostics. We employ a dataset obtained from a simulated nuclear power plant condenser using the Asherah Nuclear Power Plant Simulator (ANS). ANS replicates the operational dynamics of a pressurized water reactor (PWR) type NPP. The proposed methodology utilizes an encoder-decoder (E-D) structured 1DCNN model to analyze the raw signals. The research demonstrates consistent and accurate fault detection and diagnostics for condenser tube fouling in both online and offline scenarios. A high potential for generalization to unseen conditions was observed. However, online detection using small data windows necessitates caution due to potential false alarms around the transition points. Our findings pave the way for further exploration of robust diagnostics by accommodating a wider spectrum of fouling rates within degradation classes using ANS. This combined online and offline FDD approach offers a promising solution for promoting operational safety, efficiency, and cost-effectiveness in NPP condensers.
United Airlines In-Flight Wi-Fi Health Management: Revolutionizing Aircraft Connectivity through Real-time Prognostics and Big Data Analysis
Authors: Rahimi Ehsan , Ling Shuang , Mesen Luis
Published: November 2024

This paper highlights an innovative initiative, focusing on Prognostics and Health Management (PHM) to enhance in-flight Wi-Fi performance by proactively identifying aircraft component failures. We propose a novel metric, the Normalized Wi-Fi Health Score (NWiHS), alongside a corresponding alerting mechanism, which together represents a significant advancement in the evaluation and improvement of in-flight Wi-Fi connectivity. To achieve this goal, we utilized big data consisting of millions of historical Wi-Fi heartbeats (HBs) received from each aircraft over the past three years. These HBs refer to periodic data packet transmissions sent from United’s aircraft to ground stations, providing crucial real-time insights into the Wi-Fi system’s status.  Leveraging that data, we utilized advanced statistical methods to estimate a NWiHS - a robust indicator of aircraft-level connectivity performance, which quantifies the percent of missing Wi-Fi HBs normalized to exclude the effect of Wi-Fi provider performance and global coverage.
Deep Learning Solution for Quality Control in a Die Casting Process
Authors: Mielgo Paula , Bregon Anibal , Alonso-González Carlos J. , López Daniel , Martínez-Prieto Miguel A. , Pulido Belarmino
Published: November 2024

Industry 4.0 aims for a digital transformation of manufacturing and production systems, producing what is known as smart factories, where information coming from Cyber-Physical Systems (core elements in Industry 4.0) will be used in all the manufacturing stages to improve productivity. Cyber-physical systems through their control and sensor systems, provide a global view of the process, and generate large amounts of data that can be used for instance to produce datadriven models of the processes. However, having data is not enough, we must be able to store, visualize and analyze them, and to integrate induced knowledge in the whole production process. In this work, we present a solution to automate the quality control process of manufactured parts through image analysis. In particular, we present a Deep Learning solution to detect defects in manufactured parts from thermographic images of a die casting machine at an aluminum foundry.
Investigation of the Dynamic Relationship between Oil Temperature and Bearing Gearbox Condition Indicator Values for the Bell 407 Helicopter Based on Cointegration Analysis
Authors: Babay Oumayma , Saidi Lotfi , Bechhofer Eric , Benbouzid Mohamed
Published: November 2024

The primary objective of this study is to investigate the dynamic relationship between oil temperature and the Bearing Gearbox Condition Indicator (BGCI) values of the Bell 407 helicopter. To achieve this goal, we employ robust econometric tools, such as unit root tests, cointegration tests, and Autoregressive Distributed Lag (ARDL) models for both, long-run and short-run estimates. Our findings indicate that variable temperature tends to converge to its long-run equilibrium path in response to changes in other variables. The results of the ARDL analysis confirm that spectral kurtosis, inner race, cage, and ball energy significantly contribute to the increase in temperature. Furthermore, we use the impulse response function (IRF) to trace the dynamic response paths of shocks to the system. The identification of a cointegrating relationship between oil temperature and BGCI values suggests a practical and significant connection that can potentially be used to predict hazardous changes in oil temperature using BGCI values, which is an important implication for enhancing the safety and reliability of helicopter operations.
This study presents a promising direction for condition monitoring (CM) in rotating aircraft machinery, emphasizing the potential of integrating temperature data to simplify the diagnostic process while still achieving reliable results.
Gamma Process Based Degradation Model with Fractional Gaussian Noise
Authors: Wang Xiangyu , Xi Xiaopeng , Orchard Marcos
Published: November 2024

In modern industrial and engineering systems, stochastic degradation models are widely used for reliability analysis and maintenance decision-making. However, due to imperfect sensors and environmental influences, it is difficult to directly observe the latent degradation states. Traditional degradation models typically assume that measurement errors have simple statistical properties, but this assumption often does not hold in practical applications. To address this issue, this paper constructs a degradation model based on the Gamma process (GP) and assumes that measurement noise can be characterized by the fractional Gaussian noise (FGN). Furthermore, this paper proposes a method combining Gibbs sampling with the stochastic expectation-maximization (SEM) algorithm to achieve efficient estimation of the model parameters and accurate inference of the latent degradation states. Simulation results indicate that the proposed model exhibits better generalizability compared to the GP model with Gaussian noise.
Extracting Quantitative Insights from electrochemical impedance spectra using Statistical Methods
Authors: Boskoski Pavle , Königshofer Benjamin , Nusev Gjorgji , Ostrež Aljaž , Subotić Vanja
Published: November 2024

Statistical analysis of electrochemical impedance spec- troscopy data provides a systematic way of detecting changes in electrochemical energy systems. Applying concepts of divergence measures directly on electrochemical impedance spectroscopy data, one can reliably detect and quantify statistically significant changes. The results is a set of high- lighted frequency bands where the measured impedance characteristics differ statistically significantly from a ref- erence curve. The approach is evaluated on a solid-oxide electrolyser cell operated under different conditions and proves to be sensitive to even the smallest changes. The complete numerical implementation and corresponding experimental data are available as supplementary material at https://portal.ijs.si/nextcloud/s/xTa2cmtfxXn2jSz
Improving Freight Train Wheel Monitoring with Smart Sensors
Authors: Makienko Igor , Grebshtein Michael , Gildish Eli
Published: November 2024

Onboard monitoring of freight car axleboxes enhances safety, reduces maintenance costs, and improves track conditions by preventing secondary damage. Installing wireless sensors on freight cars without a nearby power source should be cost-effective, given the large quantities involved. To address this, a new wireless smart sensor node has been deployed. The sensor automatically recognizes stable operating conditions, detects wheel rotational speed from vibrations, performs real-time condition monitoring, and transmits the results to the cloud. This study outlines the smart sensor concept and the pilot field test conducted with real freight cars. The results demonstrate the ability to estimate wheel rotational speed from vibrations and the potential for detecting wheel out-of-roundness (OOR) using a newly developed condition indicator for low-power real-time operations.
Graph Neural Network Approach to System-Level Health Index and Remaining Useful Life Estimation
Authors: Ifeanyi Ark
Published: November 2024

Current methods for predicting health index and remaining useful life (RUL) in complex systems struggle to account for performance dependencies between components, leading to inaccurate system-level estimates. This research proposes a novel approach utilizing graph neural networks (GNNs) to improve system-level health index and RUL estimation. GNNs excel at capturing complex interdependencies within a system, making them ideal for this task. The proposed methodology is designed for systems with synchronously sampled process data. To illustrate the application of the proposed approach, we will use the Condensate Extraction Subsystem (CES) of a nuclear power plant (NPP) as a case study. Sensor data like temperature, pressure, and flow rates will be used to train GNNs to predict the overall health and RUL of the CES over time. To evaluate the effectiveness of GNNs, a custom NPP simulator will be used to model the CES under various realistic fault modes across a variety of components. The GNN's performance will be verified and its robustness will be tested under diverse scenarios. This research aims to demonstrate the effectiveness and resilience of GNNs for system-level prognostics. By providing valuable insights for maintenance decision-making, this approach can enhance operational reliability and safety in complex engineering systems. The proposed framework has the potential to be applied across various industries, leading to advancements in predictive maintenance practices.
Two-Step Framework for Predictive Maintenance of Cryogenic Pumps in Semiconductor Manufacturing
Authors: Saha Sanjoy Kumar , Islam M. M. Manjurul , McFadden Shaun , Bhattacharyya Saugat , Gorman Mark , Prasad Girijesh
Published: November 2024

Semiconductor manufacturing involves many critical steps, wherein maintaining an ultra-high vacuum is mandatory. To this end, cryogenic pumps are used to create a controlled ultra-low-pressure environment through the use of cryogenic cooling. However, a sudden pump malfunction leads to contamination in the processing chamber, disrupting production. The primary focus of this study is preventing unplanned shutdowns of cryogenic pumps. The data was collected from various pump sensors also known as status variable identification (SVID) that reveals current behavior of the pump. A comprehensive framework is presented here to develop a condition monitoring and fault detection. In the proposed framework, a drift detection method is used for condition monitoring of the pump to locate gradual and abrupt drifts. Additionally, during regeneration (or maintenance) phase, intrinsic features are extracted to distinguish between normal and abnormal regeneration, achieving an accuracy of 90.91% and a precision of 66.67%. Utilizing the proposed system, cryo-pump operators can be given maintenance guidelines and warnings about potential health degradation of the pumps.
Multimodal sensor-to-machined surface image diffusion for defect detection in industrial processes
Authors: Choi Jae Gyeong , Kang Yun Seok , Park Hyung Wook , Lim Sunghoon
Published: November 2024

Generative models, particularly diffusion-based approaches, have gained significant attention recently due to their ability to create realistic outputs. Despite their potential, the application of these models in manufacturing remains largely unexplored. This work presents a framework that addresses this gap by generating machined surface images guided by multiple sensor inputs in manufacturing. The proposed model integrates information from multiple sensors with varying sampling rates using multimodal embedding and employs a latent diffusion model to translate the fused sensor embedding into an image embedding, which is then converted into a machined surface image. The effectiveness of the framework is validated using real-world time-series data, including force, torque, acceleration, and sound, collected from various industrial processes, such as a carbon-fiber-reinforced plastic drilling process. The results demonstrate the model’s ability to predict defects from the generated machined surface images. The proposed approach can potentially revolutionize prognostics and health management (PHM) in smart manufacturing by enabling sensor-guided visual inspection, defect detection, process monitoring, and predictive maintenance.
Adaptable and Generic Methods for Monitoring and Prognostics of Energy Assets
Authors: Badfar Mohammad , Chinnam Ratna Babu , Yildirim Murat
Published: November 2024

Monitoring and prognostics of energy assets are crucial for maintaining their reliability and efficiency. Effective monitoring ensures that potential issues are identified early, preventing unexpected failures and optimizing maintenance schedules. However, several challenges complicate this process in real-world scenarios, including poor data quality, low-fidelity and sparse data, the influence of external environmental factors, and diverse operating conditions and asset types. These challenges highlight the need for adaptable and generic solutions that can handle variability and complexity across different energy systems. This Ph.D. project aims to address these challenges by developing scalable, data-driven approaches for monitoring and prognostics. By focusing on creating adaptable and generic frameworks, the research seeks to provide robust solutions for real-world monitoring and prognostic problems for energy assets.
Pengolahan Sinyal Suara Menggunakan Transformasi Wavelet Untuk Monitoring Kondsi Bearing Motor Induksi
Authors: Adistra Shanda Syahputi  , Johan Prasetya  , Muhammad Dzikri Akbar Bahtiar
Published: November 2024

Motor induksi adalah jenis motor listrik yang banyak digunakan dibandingkan jenis motor lain. Bearing adalah komponen utama motor untuk membantu shaft berputar. Bagian motor ini sering mengalami kerusakan sehingga mengganggu operasional motor. Motor induksi akan mengalami panas berlebih, noise, percikan bunga api, bahkan menyebabkan motor induksi berhenti berputar. Oleh karena itu diperlukan tool yang bertugas memonitong kondisi bearing dengan tujuan meningkatkan performa mesin, mengurangi biaya perawatan dan menjaga keandalan. Penelitian ini memberikan solusi monitoring kondisi bearing dengan teknik non-invasive menggunakan sinyal suara. Suara yang keluar dari operasional mesin diolah menggunakan algoritma wavelet agar sinyal suara dalam domain waktu dapat dianalisis karakteristiknya. Karakteristik sinyal suara akan memberikan informasi yang relevan terhadap kondisi bearing. Dari analisis energi rata-rata yang diperoleh dari dekomposisi wavelet didapatkan bahwa algortima ini memberikan persentase keberhasilan diagnosa sebesar 52,71%.
Pemanfaatan Metode Convolutional Neural Network (CNN) Dengan Arsitektur MobileNetV2 Untuk Penilaian Kelayakan Rumah
Authors: Zidan Ahmad , Rahman Muhammad Fadhillah , Puspita Sari Anggraini
Published: November 2024

In the digitalization era, efforts to enhance efficiency and accuracy in assessing household eligibility for social assistance have become important. We plan to develop a household eligibility assessment system using convolutional neural network methods. Our system uses artificial intelligence to analyze uploaded house photos and provide eligibility assessments based on predefined criteria. The goal is to automate the assessment process, increase efficiency and accuracy, ensure social assistance is well-targeted, and reduce administrative workload. Through the implementation of this system, we hope to improve the effectiveness of social assistance and community development. The result of this research is a household eligibility assessment program that can be implemented in the future.
Data Logger dan Web File Server Sensor Tiltmeter Untuk Pemantauan Gunungapi Berbasis ESP32
Authors: Cahya
Published: November 2024

Gunungapi adalah salah satu fenomena alam yang memiliki potensi bahaya besar. Pemantauan aktivitas gunungapi di Indonesia dilakukan dengan berbagai metode, salah satunya adalah dengan menggunakan sensor tiltmeter untuk mendeteksi deformasi gunungapi. Keberlangsungan data adalah suatu keharusan dalam memantau aktivitas gunungapi, maka ancaman dari putusnya data sebisa mungkin diminimalisir. Penelitian ini bertujuan untuk merancang dan membangun sistem data logger dan web file server berbasis ESP32 untuk sensor tiltmeter, yang dapat menyimpan data secara otomatis dan memberikan akses mudah melalui web browser. Metode yang digunakan mencakup desain dan implementasi perangkat keras dan lunak, serta pengujian sistem di lapangan dan perbandinan dengan data yang dihasilkan oleh sistem yang sudah ada sebelumnya. Hasil penelitian menunjukkan bahwa sistem ini cukup efektif untuk mengintegrasikan data GPS untuk penandaan waktu dan koordinat, serta mengamankan data dalam format .csv di kartu SD. Sistem ini juga teruji mampu memberikan akses pengunduhan dan pengunggahan data dengan mudah, serta mampu beroperasi secara andal tanpa mengganggu sistem akuisisi data yang sudah ada. Sehingga penelitian ini mampu meningkatkan efisiensi waktu dalam pengolahan data tiltmeter mencapai 82.94% di Pos Pengamatan Gunungapi Bromo.
Occupancy-based Energy Management System in Campus Building: A Case Study in Electrical Engineering Department Building, ITN Malang
Authors: Sulistiawati Irrine Budi , Soetedjo Aryuanto , Zulfani Dyah Erika Mining Aurora , Muljanto Widodo Pudji , Susanti Debby Budi , Sukowiyono Gaguk
Published: November 2024

Building energy management systems provide an effective method for energy saving. An occupancy-based energy management system considers the occupants' behavior that affects energy consumption. This paper presents the investigation of different scenarios based on the occupancy to control the energy consumption in the Electrical Engineering Department Building, ITN Malang. The results show that switching off the appliances when the occupants go home in the afternoon reduces the monthly energy consumption by 33.95%. The result indicates that the occupants' awareness regarding energy saving has recently been low. Thus, the occupancy sensor and automatic time scheduling for the appliance control are suggested to be installed.
“A STUDY TO ASSESS THE EFFECTIVENESS OF STRUCTURED TEACHING PROGRAMME ON SELECTED CHILD REARING PRACTICES AMONG MOTHERS OF INFANTS IN SELECTED PAEDIATRIC UNITS OF METROPOLITAN CITY
Authors: Rajendran Pillai Monisha , Mane Grace
Published: November 2024

The traditional practices are time honoured rituals and beliefs
which are prevalent in a community and they may pertain to a
wide range of activities. Every community has its own way of
rearing children which is ingrained in the society through
traditions established over centuries. The customs and
cultural practices pertaining to mother craft and child care are
passed on from one generation to another, from grand mother
to mother and to their daughters and grand children. Infants
are the most vulnerable group, who need adequate care.
However, many of the rural areas in India, especially the more
isolated ones, still use many child rearing practices that are
considered either unsafe or unhealthy. Childhood
vaccinations are another area of difference between Western
and some Indian child rearing practices. While childhood
vaccinations for the major endemic diseases such as
smallpox, diphtheria, whooping cough and polio etc.
vaccination compliance is very spotty in many rural areas,
largely for cultural or religious reasons, despite decades long
education and public information programs by the Indian
government. So we can ensure their survival and healthy
growth and development which can be laid by adequate
nutrition, immunization and growth monitoring etc.
Ovarian Steroid Cell Tumor About a Case
Authors: Lghamour Dr. Khalid , Elalami Dr. Yacir , Hachi Pr. Hafid
Published: November 2024

Tumors of the sex cords and stroma of the ovary are relatively rare, accounting for around 8% of all primary ovarian tumors. Steroid cell tumors of the ovary are rare, accounting for less than 0.1% of all ovarian tumors. The majority of these tumors produce steroid hormones, and only 10-15% of patients are asymptomatic. Although steroid cell tumors are generally benign, there is a risk of malignant transformation. Surgery is the main treatment. We report a case of a steroid cell tumour of the left ovary discovered on anatomopathological examination of the left adnexectomy operative specimen in a 47-year-old hypertensive diabetic patient who clinically presented with virilism with severe hirsutism, muscular and clitoral hypertrophy and frontotemporal baldness, and biologically increased androgens without associated hypercorticism, and in whom an abdomino-pelvic scanner showed a left latero-uterine mass measuring 74x66x64 mm, pelvic MRI showed a polylobed left ovarian mass classified ORADS 5, measuring 53x65x87 mm. After histological confirmation of the diagnosis, the patient was taken back for total surgery with total hysterectomy, right adnexectomy, omentectomy, appendectomy, multiple peritoneal biopsies, with no signs of malignancy on histological examination, simple postoperative follow-up and our patient placed under surveillance.
A COMPARATIVE STUDY ABOUT LIFESTYLE BETWEEN THE SEDENTARY AND CONTROL GROUPS OF SELECTED HEALTHY VOLUNTEERS AT GYMNASTICS IN DHAKA
Authors: Shamiul Bashir Plabon , Humayra Kabir Suity , Umme Habiba Tanny , Arif  Chowdhury Apou
Published: November 2024

This study aims to compare the lifestyles of two groups of individuals in Dhaka City: the sedentary group, consisting of non-participants in gymnastics, and the control group, comprising active participants in gymnastics. The motivation behind this comparison lies in the elevated risk of non-communicable diseases (NCDs) linked to an unhealthy lifestyle. The research involved 384 participants, divided evenly between the two groups, aged 20 to 50 and all residents of Dhaka City. The findings revealed that among those who refrained from exercise, 48% were categorized as normal weight, 20% were underweight, and 32% were overweight. Conversely, among those engaging in gym activities, approximately 78% maintained normal weight, and notably, none were classified as underweight with a BMI below 18.5. Within the gym- engaged group, a significant majority (84%) did not display signs of depression. Furthermore, 82% demonstrated adeptness in decision-making, and 90% reported freedom from anxiety. These favorableoutcomes were attributed to consistent physical activity and healthy habits. In contrast, participants not adopting a healthy lifestyle exhibited different outcomes. Around 48% of this group experienced depressive symptoms due to irregular and unhealthy practices. Moreover, 54% encountered difficulties in decision- making fluency, and 36% reported experiencing anxiety. These issues were likely due to inadequate physical activity and poor dietary choices. This study underscores the importance of motivating individualsto maintain regular exercise routines and adopt nutritious dietary habits. Such strategies are pivotal in promoting overall health and mitigating the risk factors associated with lifestyle-related diseases.
Abordagens psicoterapêuticas inovadoras para transtornos de ansiedade
Authors: Gonçalves Gabriel Isabella , De Campos Hussein Nasser Marcussi , Da Silva Hotta Tiago , Pimentel Sampaio Breno , Benedetti Barbosa Beatriz , Fernandes Guilherme , Behisnilian Thais , Villar Busin Bruna , Ribeiro Dias Bruna , Sanches Falco Gabriela , Gonçalves Shibata Gustavo Hisao , Silva Arioli Fernanda , Cordeiro Cunha Matheus , Fontes Soares Heloísa , Cardoso Maluf Ana Maria , De Lima Ferreira Victor Alexandre , Gaivão Plum Julia D'Orey , Simha Ghiberti Diego , Robattom Loverbeck Vitória , Serrano de Freitas Daniel , Lopes Oliveira Júnior Luciano , Felimberti Graczcki Emily , Lira Garani Sarah
Published: November 2024

Os transtornos de ansiedade representam um grande desafio em saúde mental, afetando a qualidade de vida de milhões de pessoas ao redor do mundo. A necessidade de estratégias terapêuticas inovadoras impulsionou esta revisão integrativa, cujo objetivo é analisar e sintetizar abordagens psicoterapêuticas inovadoras para o tratamento desses transtornos. A revisão foi conduzida com base em uma seleção de estudos que investigam uma variedade de modalidades terapêuticas. A busca foi realizada em bases de dados científicas e considerou critérios de inclusão como relevância para novas abordagens e atualidade dos resultados. Diversas abordagens emergentes para o tratamento de transtornos de ansiedade foram identificadas na literatura. Entre as terapias analisadas, destacam-se intervenções transdiagnósticas, práticas de Mindfulness, terapias cognitivo-comportamentais online e terapias psicodinâmicas. Além das abordagens convencionais, métodos inovadores como biofeedback de variabilidade da frequência cardíaca, terapia com realidade virtual e a terapia cognitiva baseada em Mindfulness mostraram-se promissores. A análise dos resultados sugere que essas abordagens psicoterapêuticas inovadoras desempenham um papel relevante no manejo de transtornos de ansiedade, oferecendo métodos adaptáveis e personalizados para atender às necessidades dos indivíduos. A compreensão dessas inovações pode orientar futuras práticas clínicas e contribuir para o avanço na eficácia do tratamento dos transtornos de ansiedade.
Distúrbios do Humor e Aspectos Psiquiátricos em Pacientes com Tumores Cerebrais
Authors: Mendes José Victor Gomes , Seidel Eveline Alana , Arruda Guilherme Veloso , Vechia João Alberto Dalla , Marteleto Bernard Simões , Osório Luiz Eduardo Alves Machado , Felix Maria Eduarda de Melo , Castro Larissa Braga , Carvalho Lana Ferreira Castro , Hostt Mariza Ribeiro Lisboa , Vasconcelos Hugo Rangel Miranda , Pascoal João Pedro Coutinho de Oliveira , Silva Layla Pires , Olmo Nicolle Lofêgo , Sandre Ana Paula Pancere
Published: November 2024

A finalidade desta pesquisa foi examinar as contribuições científicas acerca dos sintomas de transtornos de humor em pacientes com mudanças neuropsicológicas e com tumores cerebrais, tanto a nível nacional quanto internacional. A Revisão Integrativa da Literatura foi conduzida com base no método Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), utilizando as seguintes bases de dados eletrônicas: Scopus, PubMed, Web of Science, Portal BVS e PsyNet, utilizando os termos "mood" e "distúrbio neuropsicológico" ou "distúrbio neuropsicológico". Depois de aplicar os critérios de inclusão e exclusão, foram escolhidos 42 artigos. Destes, 24 tratam de distúrbios de humor (bipolar, depressão, impulsividade, anedonia, ansiedade, insegurança, desesperança e afetividade) e 18 abordam distúrbios neuropsicológicos (esclerose múltipla, demência, doença de Parkinson, doença de Alzheimer, esquizofrenia, doenças vasculares e cardíacas). Os resultados destacam a relevância dos resultados.
EIXO CÉREBRO-INTESTINO-PELE E SUAS IMPLICAÇÕES NO DESENVOLVIMENTO DE LESÕES ACNEICAS: UMA REVISÃO SISTEMÁTICA
Authors: Da Silva Cursino Ribeiro Maria Eduarda , Dos Santos Moreira Gabrielle , Silveira Abril Victória , Cardoso Lima Rodrigues Letícia Maria , Evangelista Viana Lucena Ingridy
Published: November 2024

A acne, cientificamente conhecida como acne vulgar, é uma condição inflamatória crônica da unidade pilossebácea, extremamente comum, com um acometimento global estimado em aproximadamente 80% da população em alguma fase da vida, é sumariamente uma afecção simples, mas que interfere diretamente na qualidade de vida e autoestima dos pacientes que a possuem. Sua fisiopatologia é ainda pouco explorada na prática clínica, e com isso, seu tratamento tem se limitado às abordagens tradicionais que por vezes se mostram insuficientes para a resolução das lesões. Considerando isso, esse estudo objetiva elucidar o funcionamento do eixo cérebro-intestino-pele na formação da acne, compreendendo de que forma essas lesões de pele são causa ou consequência de desbalanços no sistema gastrointestinal - como a disbiose - e no sistema nervoso - sobretudo no que se refere às doenças e sintomas psíquicos como estresse, ansiedade e depressão. Para isso, foi realizada uma revisão sistemática da literatura, sendo utilizadas as bases de dados LILACS, SciELO e PUBMED. Sendo incluídos trabalhos em inglês, espanhol e português de 2019 a 2024, foram selecionados 33 artigos para análise precisa.  
Por meio disso, observou-se a estreita relação entre o eixo que liga o sistema nervoso, gastrointestinal e a pele no desenvolvimento das lesões acneicas. O estresse foi fortemente relacionado ao desencadeamento da acne através da ativação do eixo Hipotálamo-Hipófise-Adrenal, ao passo que as lesões de pele, afetando a autoestima somado aos estigmas sociais é também evento desencadeador de estresse e ansiedade. A microbiota intestinal por sua vez, demonstrou estar intimamente ligada à acne tanto por meio da disbiose quanto pelas interferências dietéticas no metabolismo humano. Assim, foi possível concluir que o eixo cérebro-intestino-pele não apenas está ligado à fisiopatologia da acne como muito pode contribuir para tornar seu tratamento mais efetivo, fazendo uso de terapias complementares visando melhorar o aspecto das lesões bem como o funcionamento intestinal e a saúde psíquica dos pacientes.
Students’ Writing Anxiety in Learning English as a Foreign Language
Authors: Putra I Komang Janu Prianda , Padmadewi Ni Nyoman , Ratminingsih Ni Made
Published: November 2024

This research aimed to investigate the writing anxiety experienced by eleventh-grade students in learning English as a Foreign Language (EFL) in Bali. By conducting a quantitative research method, this research involved 76 students as the participant of the study. The research employed an adapted questionnaire from Cheng (2004), consisting of 27 designed statements. The result revealed that many students face challenges with writing anxiety in English. The findings showed that linguistic challenges, such as concerns about using expressions and sentence patterns incorrectly, and time constraints like feeling stressed under time pressure, significantly contribute to writing anxiety. Additionally, the positive aspect of the study demonstrated that students actively work to minimize mistakes in their writing, emphasizing the importance of accuracy in managing writing anxiety which may imply the motivation to learn English.
Burnout Among EFL Teachers in Indonesia: Levels and Factors
Authors: Utami A. A. Istri Dewi Adhi , Sidaryanti Ni Nyoman Asri , Wirahyuni Kadek
Published: November 2024

Having highly motivated teachers is vital for effective teaching in foreign language classroom. Nevertheless, burnout may impair teachers' performance and negatively impact how they engage with students. The current study aimed at investigating the level of burnout among EFL teachers in Indonesia. This study was a mixed method study followed by forty-five EFL teachers who are currently teaching in high school level. Using Maslach Burnout Inventory Educators Survey, it was found 57.8% of participants responded they felt high levels of emotional exhaustion, followed by moderate levels (31.1%) and high levels (11.1%). Comparably, approximately 17.8% of the teachers felt they were not depersonalized, compared to 37.8% who felt it was moderate and 44.4% who felt it was extreme. High level of burnout was experienced by teachers with less than five years of teaching experience. Low to moderate level of burnout was found in teachers with more than five years experiences. Regression analysis found that length of experience significantly influences EFL teachers’ level of burnout (Sig. <.05). A further interview confirmed the factor that caused burnout among teachers such as teaching administration, adapting with technology, and dealing with misbehave students. This study highlighted the importance of addressing teachers’ burnout level.