bluuebunny/crossref_metadata_2025 huggingface dataset:
Opinion Extraction using Hybrid Learning Algorithm with Feature Set Optimization Approach
Authors: Devendra Kumar
Published: May 2024

Evolution in engineering and technology added large size of data storage and transmission through the web application over the internet. This huge amount of data primarily used for exchange of information in between users and devices and in secondary aspects it has utilization as feedback, ratings and reviews that is supporting in generation of useful information of products, services, incidents etc.  The data as opinion, feedback, view & suggestion is explored, organized & analyzed for selection of appropriate options. Sentiment analysis using the opinion extraction is a challenging task that is based on feature extraction and the concepts of Natural Language Processing that is applied in identification of the opinions of a user in terms of positive, neutral or negative ratings hidden in the form of comments typed as the text. Presently many data-processing based feature evaluation techniques for opinion extraction are used for solving the issues faced under sentiment classification applications. This article is based on development and application of algorithms for opinion extraction from text data available on web resources by K-Nearest Neighbor (KNN), Support vector machine (SVM) and hybrid of both named as SVM+KNN for classification of multi-label opinions from extracted text from review data of Twitter and Amazon. The performance of all the classification models (KNN, SVM and SVM+KNN) on both datasets is evaluated in terms of different parameters.
Monitoring and Correction of Human Joints Posture using Flex sensor
Authors: T. Jayasree
Published: May 2024

A large number of the working population have occupations which require long hours of sitting and students spend most of their time on laptop, mobile devices leaning forward, incorrect sleeping posture etc., these mentioned habits lay significant strain on the posture. In fact, after surveying 200 people of various age groups, 76% said that they do not practice good posture. Of those people, more than 90% said that they experience joint pain. A posture monitoring and correction system is developed which is used to enhance the quality of life by providing the support needed to maintain good posture. When the user retains the same posture for a period of 2 minutes, this system will automatically warn the user such that he/she can correct it. The neck posture is monitored by placing the flex sensor over the neck region of C2 – C7 of cervical vertebra and intimated by buzzer sound if the user maintained the same posture for around 120 seconds. This proposed work will be further utilized to analyze the improper use of wrist joint which creates numbness and leads to carpel tunnel syndrome. The flex sensor monitors the wrist joint movement which will placed in the dorsal side of the wrist and give an alarm, besides the maximum extension up to which one can do flexion and extension will also be set so that the over usage of the joint will be intimated by auditory signal.
RSDA: A Reliable and Secure Data Aggregation Scheme for Smart Grid
Authors: Lakshmi V S
Published: May 2024

Smart grids are modern power distribution systems that utilize advanced technologies to optimize energy generation, distribution, and consumption. The huge amount of data generated by various sources, such as smart meters, sensors, and other devices, can be aggregated for efficient energy management, supporting demand response etc. However, this data can contain sensitive information about individual’s energy usage patterns, behaviour, and preferences, which raises several privacy concerns. Data reliability is another major issue, as the data send from the smart meters to the aggregators may get corrupted due to errors introduced by the communication channel. In this paper, a private-key additive homomorphic encryption scheme based on polar codes is proposed for privacy preserving data aggregation. The proposed scheme not only ensures data confidentiality but also provide data reliability. The security of this scheme relies on the difficulty in decoding the codeword and is achieved by embedding security in the generator matrix and error vector. Security analysis shows that the proposed scheme is resistant against all known attacks against private-key code-based cryptosystems. The performance analysis is evaluated in terms of error performance, communication overhead and computational complexity. The performance comparison with related additive homomorphic encryption scheme shows the efficiency of the proposed scheme.
QUANTUM-ENHANCED SOLAR SITE SELECTION: A NOVEL MCDM APPROACH
Authors: Gunjan Mukherjee
Published: May 2024

In the pursuit of optimizing renewable energy sources, the selection of solar plant installation sites presents a complex decision-making challenge that involves multiple criteria. This research introduces a groundbreaking algorithm, leveraging quantum computing techniques to enhance Multi-Criteria Decision Making (MCDM) for solar plant site selection. The proposed algorithm harnesses the superposition and entanglement properties of quantum bits to evaluate extensive datasets and criteria with unprecedented speed and accuracy. By integrating quantum versions of established MCDM methods such as the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), the algorithm provides a sophisticated tool for decision-makers. The research demonstrates the algorithm’s superiority over classical methods through rigorous simulation and validation processes. The findings suggest that quantum-enhanced MCDM can significantly streamline the solar plant site selection, paving the way for a more efficient deployment of solar energy infrastructure and contributing to a sustainable energy future.
Predictive Modelling in Legal Decision-Making: Leveraging Machine Learning for Forecasting Legal Outcomes
Authors: Enas Mohamed Ali Quteishat
Published: May 2024

Predictive modelling holds significant promise in enhancing legal decision-making processes, particularly within the realm of the Supreme Court of the United States (SCOTUS). This paper investigates the application of Machine Learning (ML) algorithms to forecast legal outcomes, utilizing a dataset comprising SCOTUS cases. Through rigorous preprocessing and analysis, various ML techniques including Decision Trees, Random Forest, Support Vector Machines (SVM), Naive Bayes, k-Nearest Neighbors (k-NN), and XGBoost are applied. The performance of these models is evaluated using precision, recall, F1-score, and accuracy metrics, revealing nuanced differences in their effectiveness. Notably, XGBoost emerges as the top-performing algorithm with an accuracy of 72%, showcasing its robustness in capturing intricate legal patterns. In contrast, Naive Bayes and Decision Tree algorithms exhibit lower accuracies of 61% and 52%, respectively, highlighting potential limitations in their applicability to legal datasets. The comparative analysis sheds light on the strengths and weaknesses of each algorithm, underscoring the importance of selecting appropriate techniques tailored to the complexities of legal decision-making. This study contributes to the growing body of literature on predictive modelling in legal studies, offering valuable insights into the potential applications and implications of ML in enhancing the efficiency and efficacy of legal processes.
Augmented SPWM based Hybrid Output Converter for Renewable Energy and Nano-Grid Application
Authors: Vinodini Bhole
Published: May 2024

This study suggests a novel Augmented Sine PWM(ASPWM) based Hybrid Output Converter that can concurrently power AC and DC loads. Two boost converters are used in this configuration, and the AC voltage is the differential voltage tapped between the two source nodes (of the MOSFETs) of the individual converters. This converter plays a different role in providing power to AC and DC loads than conventional boost converter. Conventional boost requires a minimum of two stages to step up output DC voltage and inverter stage to convert DC to AC power. This novel hybrid output converter (HOC) skips all stages of boosting the output voltage and next stage of inverter also. HOC consists of two boost converts pumped by two VM(voltage multiplier) stages to get high voltage DC output. This HOC has two inputs, supplied by renewable like solar PV cells and has two outputs to supply AC and DC loads simultaneously. This dual input HOC integrates two renewable inputs for standalone nano grid application. The principle of operation of HOC is augmented sinusoidal pulse width modulation with AC reference signal is shifted by 1800for individual boost converter and augmented by dc offset. The circuit has been extensively simulated in PSIM’22 Matlab Simulink and an experimental prototype of 110W is tested in the laboratory.
Secondary Control Strategies in the DC Microgrids
Authors: Shilpa Kaila
Published: May 2024

Now, DC microgrids have become more popular for several reasons, including the lack of issues related to reactive power and frequency control, the direct integration of energy storage devices and solar photovoltaic, and the higher utilization of DC loads. A DC microgrid using several sources (distributed generation) is a popular research area. The main issue in such a DC microgrid is to provide good voltage regulation and proportional power sharing among all sources. Control strategy is very important to solve the above issue in order to maintain the reliability and stability of DC microgrids. Hence, a comprehensive review of DC microgrid control techniques is essential. Compared to other methods, hierarchical control is widely used to solve the aforementioned issue. It consists of three layers of control: primary control, secondary control, and tertiary control. At the primary level, to improve current sharing performance, droop control is usually applied. Secondary control is used for voltage regulation of the DC bus. A tertiary control is a higher-level control to achieve Optimization and economical grid operation. In traditional primary control, it is not possible to attain accurate power sharing and voltage regulation simultaneously. Thus, secondary control is required. So, this paper reviews the secondary level control techniques in the hierarchical control strategy for DC microgrids. Precisely, Centralized, distributed, and decentralized approach-based secondary control are reviewed. Several secondary control techniques have been thoroughly examined in terms of their advantages and disadvantages making this an excellent resource for both academics and business executives.
Real-Time Monitoring of Toxic Gases using Artificial Neural Networks with SnO2-based Thick Film Gas Sensors
Authors: Bholey Nath Prasad
Published: May 2024

The present study aims to develop an advanced system for real-time identification and measurement of harmful gases using  Pd-doped SnO2-based thick film gas sensors integrated with Artificial Neural Networks. These sensors, renowned for their exceptional sensitivity and selectivity, undergo testing in a meticulously controlled gas chamber environment. Here, gas concentrations, temperature, and humidity are meticulously controlled. The gas chamber setup allows for mixing gases like carbon monoxide, nitrogen dioxide, and sulfur dioxide with nitrogen gas to achieve desired concentrations ranging from  to . Temperature is kept at   and relative humidity is maintained between  to . The sensitivity analysis of the sensor demonstrates its adeptness in detecting low concentrations of target gases, with sensitivity increasing as gas concentrations rise, also the selectivity assessments highlight their ability to accurately differentiate between target gases and common interferents, ensuring precise detection even in complex gas mixtures. Response time testing indicates rapid detection capabilities, crucial and useful for emergencies. The Artificial Neural Network model, trained via the backpropagation algorithm, demonstrates remarkable accuracy, precision, recall, and F1 scores in predicting gas concentrations. The findings indicate that this integrated system offers a reliable and efficient solution for toxic gas detection, with potential applications in industrial safety and environmental monitoring.
A Study on the Design of Smartphone APPs Targeting the Behavioral Characteristics of the Elderly under the Background of Artificial Intelligence
Authors: Zhaopo Shao
Published: May 2024

As a practical technology, artificial intelligence has an important impact on the development of mobile media. Intelligent analysis and understanding of user behavior and realistic personalized service have become key factors in APP development. At the same time, China has entered the development stage of a deeply aging society, and the discussion on the "age-appropriate" design of smart phone APPs for elderly users is not sufficient. Through literature review, the physiological characteristics of the elderly are combed and analyzed. With the help of field interviews, the behavioral characteristics of the elderly are deeply studied and their characteristics are summarized. Based on this, the design and practice of smart phone "aging" APP are completed, and the theoretical model is constructed. It is hoped to provide reference for the design, development and renewal of digital products for the aged in China.
Analysis of Intelligent Teaching Ability of Pre-service Biology Teachers Based on TPACK Theory
Authors: Suhua Jiang
Published: May 2024

The level of Technological Pedagogical Content Knowledge (TPACK) of modern intelligent-based teaching directly affects the teaching ability of pre-service teachers. In this study, all the students majoring in biological sciences in the College of Life Sciences of X Normal University were selected as the research objects. The existing TPACK level of pre-service biological teachers was investigated by means of literature research and questionnaire survey, and the factors that might influence the TPACK level of pre-service biological teachers were analyzed. The results showed that the overall TPACK level of pre-service biology teachers was in the middle level, and the TK level was the lowest, followed by the TPCK level. The seniors were higher than the freshmen in all dimensions of TPACK, and there were significant differences in each dimension. Seniors were higher than juniors in all dimensions of TPACK, and there were significant differences between them in CK and TPK, while there were no significant differences in other dimensions. Comparing the juniors and seniors as a whole with the freshmen and sophomores students as a whole, it was found that the former was higher than the latter in seven dimensions, and the differences in each dimension were extremely significant. This indicates that the establishment of the biological talent training program had a significant promoting effect on the improvement of pre-service teachers' TPACK level. This provides an important theoretical basis for the training of TPACK level of pre-service biology teachers in this school.
Power system load frequency management using fuzzy logic
Authors: Raushan Kumar
Published: May 2024

A power system is a sizable, intricately linked network that has multiple sources and loads. The population growth causes variations and unpredictability in load demand. The utilities are responsible for meeting load demand while abiding by operational restrictions on the power system. Control of load frequency is alone in charge of providing the customers with sustainable electrical power. Its primary purpose is to control system frequency and power flow in additional areas within advised bounds by controlling tie-line power and the utility generator's output power in reaction to changes in load without compromising system frequency. The paper's recommended concept illustrates the load frequency control of two area systems using fuzzy logic, fuzzy tuned proportional integral, conventional proportional integral, and proportional integral derivative controllers. SIMULINK is used for simulation research.
Implication of E-learning and AI Individualized Pedagogical Perspectives
Authors: Ashraf Ali
Published: May 2024

Over the past few years, multiple e-learning programs have been created. Technology-enabled learning possibilities are now commonplace in educational settings, and a lot of people use online resources to further their knowledge for private, professional, or academic purposes. The results show that while newly created e-learning programs are based on contemporary digital tools, require content that is more strategic and has a distinct emphasis than classic learning situations. These findings make one wonder if the elements of virtual education are the best additions to conventional face-to-face instruction. This paper focuses on identifying an e-learning program using Artificial Intelligence (AI) that effectively incorporates pedagogical learning approaches by using the expertise of pedagogical specialists. To help develop theoretical ideas for instruction, several categories encompassing conventional and e-learning learning theories, such as behaviorism, cognitivism, constructivism, and connectivism, were examined.
Enhancing Cybersecurity in Smart Grids through Machine Learning-Based Intrusion Detection Systems
Authors: Komal Saxena
Published: May 2024

Smart grids represent the modernization of electrical grids by integrating advanced communication and information technology. However, their interconnected nature and reliance on digital infrastructure make them vulnerable to cyber-attacks. Enhancing cybersecurity in smart grids is paramount to ensure reliability and safety. This paper explores the use of Machine Learning-Based Intrusion Detection Systems (ML-IDS) as a solution to enhance the cybersecurity of smart grids. It examines the current cybersecurity challenges in smart grids, the fundamentals of intrusion detection systems, the integration of machine learning in IDS, and the effectiveness of ML-IDS in mitigating cyber threats.
Impact of Different Protrusions in Energy Transfer and Fluid Flow Characteristics Using Al₂O₃ Nanofluid in Pipe Flow
Authors: Gulshan Kumar
Published: May 2024

The study investigates how the protruded surface (the part sticking out of an otherwise flat surface) over the small channel affects flow characteristics and heat transfer within a circular flow regime, utilizing computational methods. This investigation uses an alumina nanofluid to compare and analyze the thermo-physical parameters of protruding pipes such as boxes, cylinders, dimples, and pyramids in pipe flow. Alumina nanofluid with varying volume fractions was evaluated as a thermo-fluid under laminar flow conditions, exploring its ability to enhance energy transmission (heat) over the protruded channels. The protruded surface induces turbulence around the protruded region, altering the coolant's physical characteristics. Since heat transfer predominantly occurs on surfaces, the alteration in surface geometry due to the protruded shape increases detectable heat transfer and the Nusselt number. With an increase in the volume percentage of nanofluids, there's a tendency for pressure loss to rise along the flow direction's centerline. The dimpled channel exhibits the highest Nusselt number among all protruding channels, indicating that increasing the Reynolds number also increases the surface heat transfer coefficient for all protrusions. When compared to the base fluid, cylindrical protrusions show the greatest pressure drop. Additionally, comparing a protruded channel with base fluid to one with a 4% volume of alumina nanofluid, it can be observed that the latter significantly improves heat transfer, followed by volume fractions of 1% to 3%.
A Design and Optimization of A Renewable EnergyBased Smart Microgrid for Rural Electrification: Analysis of the Simulink Model for Different Loads
Authors: Mohd Shariq Ansari
Published: May 2024

The rapid growth of renewable energy technologies has provided an opportunity to address the electrification challenges faced by rural communities. This research paper presents the design and optimization far smart micro grid system that integrates renewable energy sources to provide reliable and sustainable electricity to rural areas. The objective is to analyze the performance of the Simulink model under different load conditions, considering the system's stability, efficiency, and economic viability.
The Artistry of Stochastic Gradient Boosting and Gradient Boosting Classifiers in Chronic Renal Disease Classification
Authors: Priya Karkare
Published: May 2024

Chronic kidney failure is a medical disorder that impairs the kidneys' overall capacity to filter dangerous substances from your blood and maintain overall health. Anemia, weakened bones, poor diet, trauma, and decreased blood pressure are some of the factors that contribute to chronic kidney disease. Anemia, weakened bones, poor diet, trauma, and decreased blood pressure are some of the factors that contribute to chronic kidney disease. This study proposes using a several unsupervised algorithms, evaluate their performance, and determine the optimal combinations with higher accuracy. In addition to scaling features and applying the method to balance the data, this list of processes includes correctly imputed missing data points. The present study has employed six supervised algorithms, including DT, RF, SGB, XgBoost, Ada Boost and Gradient Boosting Classifiers has integrated them with techniques for selecting features based on the Pearson Correlation Coefficient. Classifying clinical data of chronic kidney diseases(CKD) and Non-CKD with an overall accuracy of 99.2% has been achieved by integrating feature reduction approaches with Stochastic Gradient Boosting and Gradient Boosting Classifier. These models were put to the test using a collection of data on chronic kidney illness from the University of California at Irvine, this had four hundred entries of data with twenty-six attributes. The outcomes of various models are examined. The model built with Stochastic Gradient Boosting and Gradient Boosting Classifier method performed the best in terms of correctness using 24 attributes for the small dataset, based on the comparison. The final phase of this study will examine how effectively the machine learning system predicts chronic kidney failure with respect to precision, recall, accuracy, & F1-Score.
An Initiative Towards Efficient and Sustainable V2G Technology Fed STATCOM for Grid connected Wind Energy System
Authors: S. Rudhra
Published: May 2024

The proliferation of renewable energy sources, particularly wind energy, has significantly contributed to the diversification of the global energy mix and the mitigation of greenhouse gas emissions. However, the intermittent nature of wind power generation poses challenges to the stability and reliability of the power grid. This paper explores the integration of Vehicle-to-Grid (V2G) technology with Static Synchronous Compensator (STATCOM) for grid-connected wind energy systems. Novelty. Vehicle-to-Grid (V2G) technology enables bidirectional energy flow between electric vehicles (EVs) and the power grid, allowing EV batteries to serve as energy storage devices. This capability can be leveraged to support grid stability and reliability by utilizing EV batteries to store surplus wind energy during periods of high generation and release it back to the grid during periods of low generation or high demand. Purpose. This effectively mitigates the intermittency and variability of wind power, smoothing out fluctuations and improving grid stability.  Methods. By employing V2G technology and leveraging the dual-purpose battery solution can compensate the grid voltage fluctuations and improve power factors in grid-connected wind energy systems, enhancing overall system stability and reliability. Results. The Hystersis current controller (HCC) scheme is used for controlling STATCOM to enhance the dynamic performance. Practical value. The system is simulated in its entirety using the matrix laboratory (MATLAB) . The proposed sustainable model will pave the way for maintaining the true power supply under varying wind conditions.
Meme Kanseri Epigenetiğinde Biyobelirteçler: Çevresel Faktörlerin Etkisi
Authors: Tuğrul Karataş Ela , Karataş Muhammet Osman , Özden Sibel
Published: May 2024

Meme kanseri, dünya çapında kadınlardaki kansere bağlı ölümlerin başlıca nedenlerinden biridir. Meme kanseri hormonal, genetik ve yaşam tarzı gibi birçok risk faktörü ile ilişkilendirilmiştir. Ancak günümüzde artan kanıtlar çevresel kirleticilere maruziyetin meme kanseri gelişiminde göz ardı edilemez bir risk faktörü olduğunu ortaya koymaktadır. Özellikle, bazı çevresel kirleticiler; DNA metilasyonu, histon modifikasyonu ve mikroRNA (miRNA)’ lardaki değişiklikler gibi epigenetik mekanizmalarla gen ifadesini değiştirebilir. Üzerine en çok çalışılan epigenetik modifikasyonlardan DNA metilasyonu ve histon modifikasyonları gen ekspresyonunu doza bağlı bir şekilde değiştirmektedir. Epigenetik modifikasyonlar, tersine çevrilebilir özellikleriyle terapötik stratejilerin geliştirilmesinde de dikkat çekici bir hedef haline gelmiştir. Çevresel kirleticilere bağlı bu modifikasyonlarda saptanan epigenetik biyobelirteçlerin, meme kanserinde erken teşhis ve prognozun belirlenmesinde anahtar olabileceği düşünülmektedir. Günümüzde miRNA’lar meme kanseri araştırmalarında yeni biyobelirteçler olarak kullanılmaktadır. Doku, tam kan, serum ve plazmadan izole edilebilmesi ve biyobelirteç olarak kullanım kolaylığı miRNA’ları önemli bir teşhis aracı haline getirmiştir. Bu derlemenin çevresel kirleticilere maruziyet sonucu değişiklik gözlenen epigenetik biyobelirteçler ile meme kanseri riski arasındaki ilişkiye ışık tutacağı düşünülmektedir. Bu derlemede aril hidrokarbon reseptör agonistleri (dioksinler, poliklorlu bifeniller, polisiklik aromatik hidrokarbonlar), ftalatlar, bisfenol A ve arsenik gibi çevresel kirleticilerin epigenetik mekanizmalar üzerine etkisine odaklanılmıştır. Meme kanseri vakalarında epigenetik araştırmaların artması ile çevresel maruziyetlerin azalacağı ve kişiselleştirilmiş önleyici stratejilerin geliştirilebileceği düşünülmektedir.
Guiding principles for developing initiatives to prevent child sexual abuse material offending
Authors: Gannoni Alexandra , Voce Alexandra , Napier Sarah , Boxall Hayley
Published: May 2024

This study sought to identify principles to guide the development and implementation of initiatives that aim to prevent child sexual abuse material (CSAM) offending. It did so through a review of research on the implementation and effectiveness of initiatives that aim to prevent CSAM offending, and through input from an international expert advisory group. Seven principles are described in this paper: the use of advertising campaigns; confidentiality and anonymity; an empathetic and non-judgemental approach; accessibility; training and support; tailored programs; and evaluation. These broad principles can act as a valuable resource for practitioners and policymakers.
早期營養介入對癌症病人營養狀態與生活品質的影響
Authors: 巫虹萱 巫虹萱 , 黃經民 黃經民 , 侯沂錚 侯沂錚 , 江政陽 江政陽 , 吳晶惠 吳晶惠
Published: May 2024

目的：本研究旨在透過個別化早期營養介入，改善營養不良風險癌症病人的營養狀態，並降低治療併發症，特別是頭頸癌、食道癌、胃癌、胰臟癌病人。

方法：研究納入2022年3月至2023年5月期間在台北慈濟醫院診斷為頭頸癌、食道癌、胃癌、胰臟癌病人。治療前後收集體位測量數據（體重）、白蛋白值、營養評估和生活品質問卷調查。

結果：研究發現，透過個別化營養介入後，所有癌症病人共40人，在治療後平均體重變化下降為1.6公斤，體重維持或增加為25人(62.5%)，其中體重減輕為15人(37.5%)，而白蛋白值治療前為3.74±0.55 mg/dL，治療後為3.9±0.36 mg/dL (p=0.0327)，整體營養狀況有顯著提升，在治療後生活品質下降的程度也有所改善。

結論：本研究證實，早期診斷和介入癌症病人營養不良或有營養不良風險的人，透過個別化的營養介入，可以改善癌症病人的營養狀態和維持生活品質。

 

Purpose: The study aimed to investigate the effect of individualized nutritional intervention on the nutritional status of cancer patients, specifically those with head and neck cancer, esophageal cancer, gastric cancer, and pancreatic cancer.

 Methods: Patients diagnosed with head and neck cancer, esophageal cancer, gastric cancer, or pancreatic cancer at Taipei Tzu Chi Hospital during March 2022 to May 2023 were enrolled in this study. The collection of anthropometry data (body weight) and albumin values, nutrition assessments, and questionnaire survey on quality of life were conducted before and after treatment.

 Results: With individualized nutritional intervention, the mean change of body weight in all of the 40 enrolled cancer patients after treatment was -1.6 kg. 25 (62.5%) of them were able to maintain or gain weight, while 15 (37.5%) of them lost weight. The nutritional status of the enrolled cancer patients reported significant improvement [all cases, albumin (mean± standard deviation, SD): baseline=3.74±0.55 mg/dL; after=3.9±0.36 mg/dL; p=0.0327]. Mitigation was also observed in the post-treatment decrease in quality of life.

 Conclusion: These findings suggest the necessity of early identification of malnutrition or risk of malnutrition in cancer patients to facilitate individualized nutritional intervention for improving the nutritional status and overall well-being of the patients.

 
即時測量超慢跑對自主神經功能的影響 —前驅試驗的個案報告
Authors: 林彥璋 林彥璋 , Yen-Chang Lin 江柏翰 , 江瑞坤 江瑞坤
Published: May 2024

目的：運動可以改善健康，健康與自主神經功能有關，分析心率變異性可以反應出自主神經功能。本文目的是以穿戴式心率偵測器，配合手機應用程式下載，分析心率變異性，來探討即時檢測超慢跑對於交感及副交感功能的影響。

方法：本研究選在夜間7-9點運動場進行，受試者為一位58歲中年男性，配戴Polar公司H10胸帶，及手執有Polar sensor logger 3.0.0應用程式的手機，先進行繞圈走路持續10分鐘（時速約為2公里），接著超慢跑10分鐘（時速約為4公里），隔三天後，在同時段先超慢跑再走路，如此各3次，合計6次測試。分析比較走路與超慢跑時的心率變異性。

結果：本個案研究，經過6次小心地實時檢測，使用上述應用程式下載資料，分走路與超慢跑分析心跳、交感功能指標(LF/HF比率)、副交感功能指標(RMSSD)，計算平均及標準差，接著做配對t檢定分析，先進行時域分析，發現心跳每分鐘平均次數，超慢跑時比走路時顯著上升(126.9±10.1 vs. 93.7±8.2, p=0.001)，副交感功能並未達顯著差異(RMSSD: 4.3±0.9 vs. 5.6±3.1, p=0.378)，再做頻域分析，超慢跑時交感功能比走路時顯著下降(LF/HF比率：4.5±4.2 vs. 17.2±1.5, p=0.002)。

結論：短暫的10分鐘超慢跑，就可以使交感功能顯著下降，至於對副交感功能的影響則需要更多的研究。

 

Purpose: Exercise helps improve health, and health is related to autonomic nervous function, which finds an indicator in heart rate variability. The article aims at exploring the impacts of slow jogging on sympathetic and parasympathetic functions by measuring the heart rate variability of the jogger in a real time manner, using a wearable heart rate monitor.

Methods: The measurement was conducted on a sports field at 7-9 pm. Wearing a Polar H10 chest strap heart rate monitor equipped with the Polar sensor logger 3.0.app, a 58-year-old male was asked to first walk around the sports field for 10 minutes at a pace of approximately 2 kilometers per hour and then to slowly jog for another 10 minutes at a pace of around about 4 kilometers per hour. After three days, he was instructed to start slow jogging first before switching to walking. The two exercises formed one test, and a total of six tests were conducted. The heart rate variability of the test subject during walking and slow jogging was measured and compared for analysis.

Results: After 6 careful real-time tests, data about heart rate, sympathetic function (as indicated by LF/HF ratio), parasympathetic function (RMSSD) downloaded from the aforementioned app were examined. Mean and standard deviation were calculated, and paired t test conducted. By time-domain analysis, the average number of heartbeat per minute was significantly higher during slow jogging than during walking (126.9±10.1 vs. 93.7±8.2, p= 0.001). However, no significant difference was observed in parasympathetic function between the two modes of exercise (RMSSD: 4.3±0.9 vs. 5.6±3.1, p= 0.378). By frequency-domain analysis, the sympathetic function appeared to significantly lower during slow jogging than during walking (LF/HF ratio: 4.5±4.2 vs. 17.2±1.5, p= 0.002).

Conclusion: A brief 10-minute slow jogging can significantly decrease sympathetic function, while further research is needed to study the effect of slow jogging on parasympathetic function.

 
《超性學要》論「邪魔」之罪與惡研究—與中文版《神學大全》比對為主
Authors: 林珊妏 林珊妏
Published: May 2024

明清來華的耶穌會士利類思（Lodovico Buglio, 1606-1682），將聖多瑪斯‧阿奎那（St. Thomas Aquinas，1225－1274）神學鉅著《神學大全》（Summa Theologica）之部分內容，譯述以成《超性學要》一書。近代學者以拉丁文為主、多國語言（德、法、西、義、英）為輔，遵照原有編排體例，完成《神學大全》套書。觀察此部中文版《神學大全》，既對《超性學要》文句有所遵循，又對原典經義進行更多的內容譯述。因此針對兩書相同單元對比參看，既能呈現不同時代的阿奎那學理思想之譯述樣貌，又屬阿奎那神哲學思想之雙重解讀。本文藉由《超性學要》《神學大全》兩書論魔鬼與人罪與惡內容，比較用語文句及概念表現之異同，詮釋不同時代的教義傳達，呈顯阿奎那的哲理精神，作為魔鬼系列研究之延續。再者，藉由中西惡之比較，分析中西文化衝突交融下的傳教策略與文本譯述現象。

 

dynasties, Jesuit Lodovico Buglio brought St. Thomas Aquinas’ monumental work, Summa Theologica, to China, translating parts into Chaoxingxueyao. Modern scholars predominantly rely on Latin texts and utilize multiple languages (German, French, Spanish, Italian, English) to complete the Summa Theologica according to the original orchestration. Examining the Chinese version of Summa Theologica, one can find abundant references to the Chaoxingxueyao translation. Comparing corresponding chapters in both books reveals the evolution of Aquinas’ theories through different eras and offers a dual foundation for interpreting his theological thoughts. This paper compares the written texts of the devil and human sin in Chaoxingxueyao and Summa Theologica. The author aims to unveil Aquinas’ philosophical reflections on the devil and human evil by analyzing language usage, sentence structures, and topics, thereby contributing to the comprehensive study of devil-related themes. Additionally, by conducting a comparative analysis of the depictions of devils in Chinese and Western cultures, it is hoped to shed light on the missionary strategies and the phenomenon of text translation in the context of Chinese and Western cultural integration.

 
Scores de qualificação e monitoramento em certificação de eliminação da transmissão vertical de HIV e/ou sífilis: uma proposta de instrumento para visita técnica da equipe nacional de validação
Authors: Steenhouwer Roselle Bugarin , Lannoy Leonor Henriette de , Aragon Mayra Gonçalves , Lima Aparecida Morais , Gaspar Pâmela Cristina , Matos Ariane Tiago Bernardo de , Colombo Márcia , Barreto Leila Suely Araújo , Diniz Ítalo Vinicius Albuquerque , Miranda Angélica Espinosa
Published: May 2024

Introdução: No Brasil, o processo de certificação subnacional da eliminação da transmissão vertical (ETV) do HIV e/ou sífilis vem sendo aprimorado. A visita in loco pela Equipe Nacional de Validação (ENV), etapa fundamental do processo, visa qualificar e validar as informações contidas nos relatórios elaborados pelos municípios. Em 2023, foram criados scores para qualificação e transparência da visita da ENV e monitoramento das ações nos municípios candidatos à certificação. Objetivo: Análise preliminar dos scores utilizados nas visitas da ENV. Métodos: Levantamento dos scores e cálculo da média de pontuação, nos diferentes eixos temáticos, em relatórios concluídos até agosto de 2023. Resultados: Um total de cinco relatórios foi analisado, em que quatro pleitearam a ETV-HIV e um pleiteou ETV-HIV e selo bronze para sífilis, impossibilitando a avaliação de scores isolados da sífilis. Analisaram-se scores gerais de HIV e sífilis, e scores isolados de HIV. A pontuação média das ações gerais em programas e serviços atingiu 82,3%, e alcançou 100% em ações direcionadas à ETV do HIV. No eixo de Vigilância Epidemiológica, a pontuação geral correspondeu a 80%, enquanto a específica do HIV foi 91,7%. No eixo Diagnóstico e qualidade dos testes, a pontuação geral foi de 81,2% e a relativa ao HIV foi 83,3%. O eixo de Direitos Humanos apresentou scores únicos para HIV e sífilis, com pontuação total de 66,6%. Conclusão: A análise preliminar da proposta de scores revelou pontuações médias mais elevadas nas ações específicas à ETV do HIV e fragilidade na temática relativa a Direitos Humanos, indicando a necessidade de fortalecer a estratégia conjunta de HIV/sífilis, ampliar o acesso e qualificar o acolhimento de populações vulneráveis. O uso dos scores junto aos territórios pode ser instrumento para alcançar a meta de certificação dupla, assim como incentivar o fortalecimento das políticas públicas voltadas para a prevenção, a detecção e o tratamento da sífilis.
Análise epidemiológica da incidência de sífilis em gestante e congêncita na 4ª região de saúde do Rio Grande do Norte
Authors: Alves Jose Eder de Medeiros , Silva Iranmil Guedes da , Pereira Fávia Sirley Batista , Oliveira Gisane de Araújo , Sales Maria Auxiliadora Dantas
Published: May 2024

Introdução: A sífilis é uma infecção bacteriana sistêmica, crônica, curável e exclusiva do ser humano. O estado do Rio Grande do Norte (RN), entre 2011 e 2021, apresentou 5.572 casos de sífilis na gestação e 4.729 casos de sífilis congênita. Nesse período, percebe-se que a taxa de incidência de sífilis congênita aumentou 2,7 vezes (de 5,2 para 14 casos por 1.000 nascidos vivos) e a taxa de detecção de sífilis em gestantes cresceu 6,9 vezes (de 3,9 para 27 casos por 1.000 nascidos vivos). A 4ª região de saúde do RN é composta de 25 municípios, dos quais um tem histórico de 100% de cobertura populacional das ESF. Objetivo: Analisar os casos notificados de sífilis em gestante e congênita na 4ª região de saúde do RN no período de 2011 a 2021. Métodos: Trata-se de uma pesquisa de abordagem quantitativa epidemiológica, do tipo observacional descritiva, no qual se utilizaram dados secundários dos casos confirmados de sífilis em gestante e sífilis congênita do banco de dados do Sistema de Informação de Agravos de Notificação (SINAM). Resultados: Nesse período foram registrados 116 casos de sífilis congênita na 4ª região de saúde do RN, representando 2,4% dos casos no Estado. A partir do ano de 2017 observa-se um crescimento exponencial nos casos de sífilis em gestante que vem acompanhado do crescimento dos casos de sífilis congênita. A taxa de detecção de sífilis congênita se destaca nesse período, começando em 2011 com valor 0 e tendo seu pico no ano de 2020, chegando a 6.9. Conclusão: Apesar de ter uma população 100% coberta pela Atenção Primária à Saúde (APS), as taxas de detecção de sífilis congênita vêm aumentando, trazendo à tona questionamentos sobre a qualidade do pré-natal na APS e o levantamento das possíveis causas para o aumento desses casos.
Identificação e caracterização da resistência transmitida do HIV-1 aos antirretrovirais em pessoas que vivem com HIV/AIDS virgens de tratamento
Authors: Boullosa Lídia , Cunha Natacha , Mariani Diana , Gonçalves Cassia , Ramos Érica , Cardoso Cynthia
Published: May 2024

Mais de 40 anos se passaram desde o início da epidemia de AIDS. Os avanços mundiais no campo das terapias antirretrovirais reforçam a necessidade do monitoramento da resistência aos antirretrovirais, que, quando não controlada, favorece o surgimento de cepas resistentes que comprometem o sucesso da terapia. Atualmente são mais de 37 milhões de pessoas convivendo com HIV no mundo, e pouco mais de 10 milhões em tratamento. No Brasil, até 2020 foram detectados mais de 1 milhão de casos de AIDS e cerca de 400.000 pessoas em tratamento pelo Sistema Único de Saúde (SUS). A taxa de falha virológica em pessoas que vivem com HIV/AIDS (PVHA) em primeira linha de tratamento no Brasil varia entre 20 e 30%, em razão da má adesão e da resistência virológica, favorecendo o surgimento de cepas resistentes aos ITR e IP, que são alvos da terapia antirretroviral (TARV). Desde 2009 estudos realizados em diferentes macrorregiões do país detectaram prevalências de 5 a 15% da resistência transmitida, segundo área geográfica. A Organização Mundial da Saúde (OMS) recomenda a regularidade nesse tipo de monitoramento, por isso o objetivo deste estudo foi estimar a prevalência da resistência transmitida do HIV-1 aos antirretrovirais (TDR) em PVHA virgens de tratamento no Brasil. Um total de 1.495 amostras foram recrutadas nos 72 laboratórios de carga viral do Mato Grosso do Sul, demonstrando até o momento que a resistência aos NNRTI ainda é a majoritária entre as amostras (K103N n=11, 31%) e outras mutações secundárias. Na protease, somente foi encontrada uma amostra com a mutação I50L relacionada à resistência ao Atazanavir (3,22%). Já as TAMs relacionadas a NRTI somente foram encontradas em amostras com o genótipo (M41L, T215D, K219R, 3,22%). Sendo assim, com esses resultados constata-se que o monitoramento da resistência é uma necessidade no acompanhamento dos pacientes conforme a recomendação da OMS.
Tendência temporal dos casos de HIV/AIDS nos estados do Rio Grande do Sul e Santa Catarina entre 2011 e 2019
Authors: Altissimo Pamela , Calvo Valeriae Vanessa Barakat , Vieira Ilse Lisiane Viertel
Published: May 2024

Objetivo: Analisar a tendência temporal dos casos de infecção pelo Vírus da Imunodeficiência Humana (HIV) e Síndrome da Imunodeficiência Adquirida (AIDS), visando caracterizar o perfil sociodemográfico da população infectada, analisar a tendência temporal das taxas de detecção pelo HIV segundo sexo, faixa etária, escolaridade e estado, e a taxa de mortalidade pelo vírus do HIV nos estados do Rio Grande do Sul e Santa Catarina entre os anos de 2011 e 2019. Métodos: Estudo ecológico de séries temporais com dados do Sistema de Informação de Agravos de Notificação (SINAN) por meio dos boletins dos programas. Foram analisadas as taxas de detecção, prevalência e mortalidade por HIV/AIDS entre os anos de 2011 e 2019 por meio de regressão linear simples. Resultados: Aumento da taxa de detecção no Rio Grande do Sul e em Santa Catarina (p=0,002), redução da taxa de prevalência de AIDS para ambos os estados (p<0,0001) e redução ou estabilidade para todas as faixas etárias em ambos os sexos (p<0,0001). Para mortalidade, observou-se redução (p<0,0001) em ambos os sexos. Conclusão: Aumento da taxa de detecção do HIV, principalmente em homens, e estabilidade geral nos casos de AIDS.
Cuerpos, espacios, tecnologías y discapacidad
Authors: Sepúlveda Carrasco Cristóbal
Published: May 2024

El objetivo de este artículo es reflexionar sobre los principales cambios sociales contemporáneos operados sobre una multiplicidad de dimensiones que alude a imágenes, discursos, representaciones y prácticas hacia los cuerpos discapacitados. Desde la perspectiva de la diversidad humana, para las ciencias sociales cada vez cobra más importancia los usos y concepciones sociales del cuerpo como objeto, expresión y lenguaje del mundo que habita. Asimismo, surgen interrogantes en relación a las interconexiones de la ciencia con el devenir futuro de los cuerpos discapacitados y su creciente tecnologización; atendiendo sobre todo a las transformaciones que se derivan de una medicalización que incide en las formas en las que el cuerpo discapacitado es producido y vivenciado.
Participación ocupacional de niños y niñas en tiempos de crisis sociosanitaria. Alexandra Hernández, Catalina Muñoz, Almendra Pizarro y Tamara Rojas
Authors: Santander Catrín Carolina
Published: May 2024

Este seminario fue desarrollado por cuatro estudiantes durante las asignaturas Seminario de investigación I y II. Las autoras Alexandra Hernández, Catalina Muñoz, Almendra Pizarro y Tamara Rojas, durante el 2021, cursaban cuarto año de Terapia Ocupacional en la Universidad Andrés Bello de viña del Mar. Para construir la investigación fueron apoyadas por Paulina Quiñones, psicóloga de profesión como docente metodóloga y Carolina Santander, Terapeuta Ocupacional de profesión, como docente temática. Es importante resaltar que la investigación se da en el marco de la emergencia sanitaria por COVID 19, donde las estudiantes debieron desarrollarla con acompañamiento docente virtualizado, de esa misma forma realizar las distintas actividades de campo y la discusión para la construcción del documento...
Aprendizaje Servicio Comunidad Educativa Escuela de Terapia ocupacional, Universidad Andrés Bello, sede Viña del Mar
Authors: Puntareli Vicencio Bianca , Santander Catrín Carolina , Schiller Oyarzún Cynthia
Published: May 2024

En el marco de un proyecto de innovación educativa de la Universidad Andrés Bello (UNAB), se impulsó el desarrollo de una experiencia didáctica en la asignatura de Procesos de Terapia Ocupacional II (cursada en el sexto semestre) de la carrera de Terapia Ocupacional (TO), sede Viña del Mar, para que los y las estudiantes pudieran implementar mediante apoyo de docente guía, la Metodología Aprendizaje más Servicio (MAS) , con un grupo de estudiantes de primer año, quienes accedieron de forma voluntaria a ser parte de la iniciativa. La innovación se situó, no solo en la implementación de la Metodología Aprendizaje Servicio en una asignatura de tercer año, sino que también, en incluir como agente receptor de la intervención a la misma comunidad estudiantil (primer año), lo que releva la responsabilidad y el compromiso social de esta innovación, en coherencia con el perfil de egreso de la carrera. El inicio de la experiencia contempló un apoyo de parte de las docentes, sin embargo, en la medida que avanzaba la experiencia, se potenció progresivamente la autonomía y protagonismo de la comunidad educativa, haciéndoles responsables del proceso para que sean capaces de abordar problemas o necesidades reales en la comunidad, al mismo tiempo que adquieren conocimientos y habilidades relacionadas con su currículo académico.
Reflexiones y tensiones del problema del consumo
Authors: Zolezzi Gorziglia Roxanna
Published: May 2024

Las presentes reflexiones dan cuenta de los contextos y perspectivas en los cuales se expresa el problema del consumo de drogas, lo cual permite dar cuenta de cómo esas lógicas se ven expresadas en las soluciones que el Estado da y la comprensión que tiene de su origen, evolución y desarrollo. Los desafíos en esta problemática son amplios, salir de las comprensiones individuales del consumo, para generar estrategias que permitan entender y fomentar prácticas que den cuenta de la complejidad social que reviste la temática y esfuerzos intersectoriales por parte del Estado.
Experiencia y desarrollo de Terapia Ocupacional en comunidad de personas sordas – Proyecto Sol
Authors: Parraguez Correa Vicky
Published: May 2024

El trabajo de terapia ocupacional en la Comunidad de Personas Sordas Proyecto Sol ha promovido el reconocimiento y validación de la Cultura Sorda y sus características, por medio del acercamiento desde sus propias realidades, involucrándonos como un integrante más en sus actividades, aprendiendo su lengua y apoyando en metodologías de trabajo. El enfoque comunitario como modelo metodológico, ha permitido organizar el trabajo desde el diseño, la implementación, el seguimiento y evaluación de los procesos interventivos, entendiendo que en la práctica cotidiana se generan los vínculos y las comunidades, haciendo uso de las redes sociales como estrategia fundamental para ampliar el abanico de posibilidades de construir nuevas narrativas ocupacionales. Todas las acciones emprendidas se orientan hacia el logro de la Identidad Sorda, relacionándose con sus pares y conociendo su cultura por medio del aprendizaje de su lengua; debiendo facilitarse los diferentes espacios de socialización donde se sientan parte de un grupo que comparten similares historias y necesidades de aprendizajes. Desde nuestra disciplina es indispensable conocer las diferentes epistemologías Sordas, comprender su historia de vulneración y negación por parte de la mayoría oyentes, y validar la existencia de una cultura Sorda que les otorga una identidad particular. De esta manera se pueden realizar una práctica basada en una ética del reconocimiento, donde la validación de las diferencias lingüísticas y diversidades del ser, generan justicia ocupacional e inclusión social, transformando las visiones se tiene hacia colectivos que sienten y piensan su mundo desde la Sordedad.