bluuebunny/crossref_metadata_2025 huggingface dataset:
Epidemic Characteristics and Meteorological Risk Factors of Hemorrhagic Fever With Renal Syndrome in 151 Cities in China From 2015 to 2021: Retrospective Analysis (Preprint)
Authors: Luo Yizhe , Zhang Longyao , Xu Yameng , Kuai Qiyuan , Li Wenhao , Wu Yifan , Liu Licheng , Ren Jiarong , Zhang Lingling , Shi Qiufang , Liu Xiaobo , Tan Weilong
Published: June 2024

BACKGROUND

Hemorrhagic fever with renal syndrome (HFRS) continues to pose a significant public health threat to the population in China. Previous epidemiological evidence indicates that HFRS is climate sensitive and influenced by meteorological factors. However, past studies either focused on too-narrow geographical regions or investigated time periods that were too early. There is an urgent need for a comprehensive analysis to interpret the epidemiological patterns of meteorological factors affecting the incidence of HFRS across diverse climate zones.

OBJECTIVE

In this study, we aimed to describe the overall epidemic characteristics of HFRS and explore the linkage between monthly HFRS cases and meteorological factors at different climate levels in China.

METHODS

The reported HFRS cases and meteorological data were collected from 151 cities in China during the period from 2015 to 2021. We conducted a 3-stage analysis, adopting a distributed lag nonlinear model and a generalized additive model to estimate the interactions and marginal effects of meteorological factors on HFRS.

RESULTS

This study included a total of 63,180 cases of HFRS; the epidemic trends showed seasonal fluctuations, with patterns varying across different climate zones. Temperature had the greatest impact on the incidence of HFRS, with the maximum hysteresis effects being at 1 month (–19 ºC; relative risk [RR] 1.64, 95% CI 1.24-2.15) in the midtemperate zone, 0 months (28 ºC; RR 3.15, 95% CI 2.13-4.65) in the warm-temperate zone, and 0 months (4 ºC; RR 1.72, 95% CI 1.31-2.25) in the subtropical zone. Interactions were discovered between the average temperature, relative humidity, and precipitation in different temperature zones. Moreover, the influence of precipitation and relative humidity on the incidence of HFRS had different characteristics under different temperature layers. The hysteresis effect of meteorological factors did not end after an epidemic season, but gradually weakened in the following 1 or 2 seasons.

CONCLUSIONS

Weather variability, especially low temperature, plays an important role in epidemics of HFRS in China. A long hysteresis effect indicates the necessity of continuous intervention following an HFRS epidemic. This finding can help public health departments guide the prevention and control of HFRS and develop strategies to cope with the impacts of climate change in specific regions.
Impact of Responsible AI on the Occurrence and Resolution of Ethical Issues: Protocol for a Scoping Review (Preprint)
Authors: Boege Selina , Milne-Ives Madison , Meinert Edward
Published: June 2024

BACKGROUND

Responsible artificial intelligence (RAI) emphasizes the use of ethical frameworks implementing accountability, responsibility, and transparency to address concerns in the deployment and use of artificial intelligence (AI) technologies, including privacy, autonomy, self-determination, bias, and transparency. Standards are under development to guide the support and implementation of AI given these considerations.

OBJECTIVE

The purpose of this review is to provide an overview of current research evidence and knowledge gaps regarding the implementation of RAI principles and the occurrence and resolution of ethical issues within AI systems.

METHODS

A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) guidelines was proposed. PubMed, ERIC, Scopus, IEEE Xplore, EBSCO, Web of Science, ACM Digital Library, and ProQuest (Arts and Humanities) will be systematically searched for articles published since 2013 that examine RAI principles and ethical concerns within AI. Eligibility assessment will be conducted independently and coded data will be analyzed along themes and stratified across discipline-specific literature.

RESULTS

The results will be included in the full scoping review, which is expected to start in June 2024 and completed for the submission of publication by the end of 2024.

CONCLUSIONS

This scoping review will summarize the state of evidence and provide an overview of its impact, as well as strengths, weaknesses, and gaps in research implementing RAI principles. The review may also reveal discipline-specific concerns, priorities, and proposed solutions to the concerns. It will thereby identify priority areas that should be the focus of future regulatory options available, connecting theoretical aspects of ethical requirements for principles with practical solutions.

INTERNATIONAL REGISTERED REPORT

PRR1-10.2196/52349
Validating the Application of Clinical Department-specific Artificial Intelligence-assisted Coding using TwDRGs (Preprint)
Authors: Lu An-Tai , Liou Chong-Sin , Lai Chia-Hsin , Shian Bo-Tsz , Li Ming-Ta , Sun Chih-Yen , Kao Hao-Yun , Dai Hong-Jie , Tsai Ming-Ju
Published: June 2024

BACKGROUND

The accuracy of ICD-10-CM/PCS (International Classification of Diseases, 10th Revision Clinical Modification/Procedure Coding System) coding is crucial for generating correct Taiwan Diagnosis-Related Groups (TwDRGs), as coding errors can lead to financial losses for hospitals.

OBJECTIVE

The study aimed to determine the consistency between the artificial intelligence (AI)-assisted coding module and manual coding, as well as identifying clinical specialties suitable for implementing the developed AI-assisted coding module.

METHODS

This study validates the AI-assisted coding module from the perspective of healthcare professionals. The research period commenced in February 2023. The study subjects excluded cases outside of TwDRGs, those with incomplete medical records, and cases with TwDRGs disposals ICD-10-PCS. Data collection was conducted through retrospective medical record review. The AI-assisted module was constructed using a hierarchical attention network (HAN). The verification of the TwDRGs results from the AI-assisted coding model focused on the major diagnostic category (MDC). Statistical computations were conducted using statistical package for the social sciences (SPSS) software, while research variables consisted of categorical variables represented by MDC, and continuous variables represented by the RW of TwDRGs.

RESULTS

A total of 2,632 discharge records meeting the research criteria were collected from 0February to April 2023. In terms of inferential statistics, Kappa statistics were employed for MDC analysis. The infectious diseases, parasitic diseases and respiratory system had Kappa values exceeding 0.8. Clinical inpatient specialties were statistically analyzed using the Wilcoxon Signed Rank Test. There was no difference in coding results between 23 clinical departments such as Division of Cardiology, Division of Nephrology, and Department of Urology classification personnel.

CONCLUSIONS

For human coders, with the assistance of the ICD-10-CM/PCS AI-assisted coding system, work time is reduced; additionally, strengthening knowledge in clinical documentation improvement (CDI) enables human coders to maximize their role. This positions them to become CDI experts1, preparing them for further career development. Future research will apply the same methodology to validate the ICD10PCS AI-assisted coding module.
Design of Social-Psychological Interventions to Help People Change: Research through Design (Preprint)
Authors: Straand Ingjerd J
Published: June 2024

BACKGROUND

Wise interventions are brief, non-clinical strategies that help people overcome social and personal problems. They may be applied across a range of areas where unproductive interpretations of a situation exist that undermine peoples functioning. The interventions involve a soft form of persuasion by offering alternative interpretations attributions which are more productive and thus may evoke an individual’s own capacity for change. Despite promising results in experimental research, these interventions are primarily research instruments, and unlike “real-world” artefacts, there is a lack in emphasis in engagement and interaction, meaning users will not want to engage with them.

OBJECTIVE

The aims of this study was to explore how wise interventions might be embedded in everyday settings leading to natural interaction with the wise intervention.

METHODS

This study explores a Research through Design (RtD) approach to the design of wise interventions, that is a designerley exploration using past experimental wise interventions studies (primarily values affirmation and self-affirmation interventions) as “design material”.

RESULTS

Emerging from this study was a “Mental Vitamin Dose”, an experience installation where students might engage with psychological content through interacting with plants. The concept included a tree of values where touching the plants triggered audio- and screen-based interaction. Lessons learned in the form of reflection on action resulted in a proposed framework for further designing of wise interventions into different real-world contexts.

CONCLUSIONS

The Research through design approach allows for following a “design-intuition” based on experimentation through trial and error and working from opportunities arising from exploring different materials and objects. Using wise interventions as design material in such a process might enable overcoming the implementation-gap between experimental research and practice-based applications. Wise interventions may also offer a valuable contribution to the emerging field of designing for behavioural change.
Removing Communication Biases in Interpersonal Violence with Instructions (Preprint)
Authors: Sikström Sverker , Dahl Mats , Claesdotter-Knutsson Emma , Zamani Nasrin
Published: June 2024

BACKGROUND

Intimate partner violence is a serious public health concern worldwide. According to WHO (2012), behavior in intimate relationships that causes psychological, physical, or sexual harm to the participant is defined as ‘intimate partner violence’ (IPV)

OBJECTIVE

To interpret and evaluate the narratives of victims of violence in intimate relationships is essential to maintain a high level of legal certainty. The present study investigates to what extent it is possible to mitigate the biases found when communicating the severity of violence experienced in a relationship with another person. Three types of communication biases (perceptual differences) were hypothesised (calibration, accuracy, gender), and the purpose was to remove, or mitigate, these biases with ‘debiasing’ information.

METHODS

A narrative describing physical and psychological intimate partner violence (IPV) collected in Sikström et al. 2023 was used. Narratives were paired with a sentence stating the extent of the biases found in earlier studies under five conditions: control condition (no debiasing information); three conditions with debiasing information related to the calibration, accuracy, and gender biases separately; and a fifth condition combining the information from the three aforementioned conditions.

RESULTS

The results showed that debiased information did not mitigate biases. The results partly replicated earlier findings of calibration bias for physical—but not for psychological—narratives. An accuracy bias was also found, but no gender bias was identified.

CONCLUSIONS

The results indicate that biases are robust when confronted with information aimed at removing said biases.

CLINICALTRIAL
Interactive Affordance of Integrative Internet Social Media Platform Use by Patients and Physicians: A Mixed-Method Approach (Preprint)
Authors: Hur Inkyoung , Xia Weidong , Kang Keumseok , Ma Jingdong
Published: June 2024

BACKGROUND

Integrative internet social media platform (IISMP) integrates the features of mobile and social media technologies as well as the legacy healthcare systems to support healthcare processes for patients and physicians that enables patient-centered care. To better understand the use of IISMP, especially the digital interactions between patients and physicians, we develop the concept of interactive affordance and use a mixed-method approach to identify and present the interactive affordance patterns based on patient event logs, physician-patient online consultation conversation texts, interviews, and focused group from a large hospital.

OBJECTIVE

This study proposes a new type of affordance, referred to as interactive affordance, which represents the interactions between physician and patient when they both use IISMP for providing care to the patient. We identify interactive affordance patterns and investigate their impacts on organizational changes in the healthcare context.

METHODS

We use a mixed-method approach to analyze various data collected from both primary and secondary sources. The data includes 45,147 archival healthcare event logs, 13,332 conversation texts, 15 interviews, and eight focus groups data from a large hospital that has implemented an IISMP. We use grounded theory analysis, process mining, text mining, and social network analysis to identify interactive affordance patterns and their impacts on healthcare processes and outcomes.

RESULTS

Based on the results from text mining, processing mining, social network, and ground coding analysis, we identify virtual healthcare consultation between patient and physician using IISMP as interactive affordance. The analysis results from the mixed-method approach confirm that interactive affordance, virtual consultation affordance, of IISMP use contributes to the changes in the communication and decision-making processes between patients and physicians. The virtual consultation affordance promotes patient-centered care by increasing patient's access to care, empowerment, and engagement.

CONCLUSIONS

The concept of interactive affordance is proposed as a new type of affordance to represent the interactions between patients and physicians emergent by using IISMP in healthcare organizations. This new affordance type explains organizational changes toward patient-centered care.
Correction: A Multilabel Text Classifier of Cancer Literature at the Publication Level: Methods Study of Medical Text Classification (Preprint)
Authors: Zhang Ying , Li Xiaoying , Liu Yi , Li Aihua , Yang Xuemei , Tang Xiaoli
Published: June 2024

BACKGROUND

Given the threat posed by cancer to human health, there is a rapid growth in the volume of data in the cancer field and interdisciplinary and collaborative research is becoming increasingly important for fine-grained classification. The low-resolution classifier of reported studies at the journal level fails to satisfy advanced searching demands, and a single label does not adequately characterize the literature originated from interdisciplinary research results. There is thus a need to establish a multilabel classifier with higher resolution to support literature retrieval for cancer research and reduce the burden of screening papers for clinical relevance.

OBJECTIVE

The primary objective of this research was to address the low-resolution issue of cancer literature classification due to the ambiguity of the existing journal-level classifier in order to support gaining high-relevance evidence for clinical consideration and all-sided results for literature retrieval.

METHODS

We trained a multilabel classifier with scalability for classifying the literature on cancer research directly at the publication level to assign proper content-derived labels based on the “Bidirectional Encoder Representation from Transformers (BERT) + X” model and obtain the best option for X. First, a corpus of 70,599 cancer publications retrieved from the Dimensions database was divided into a training and a testing set in a ratio of 7:3. Second, using the classification terminology of International Cancer Research Partnership cancer types, we compared the performance of classifiers developed using BERT and 5 classical deep learning models, such as the text recurrent neural network (TextRNN) and FastText, followed by metrics analysis.

RESULTS

After comparing various combined deep learning models, we obtained a classifier based on the optimal combination “BERT + TextRNN,” with a precision of 93.09%, a recall of 87.75%, and an F1-score of 90.34%. Moreover, we quantified the distinctive characteristics in the text structure and multilabel distribution in order to generalize the model to other fields with similar characteristics.

CONCLUSIONS

The “BERT + TextRNN” model was trained for high-resolution classification of cancer literature at the publication level to support accurate retrieval and academic statistics. The model automatically assigns 1 or more labels to each cancer paper, as required. Quantitative comparison verified that the “BERT + TextRNN” model is the best fit for multilabel classification of cancer literature compared to other models. More data from diverse fields will be collected to testify the scalability and extensibility of the proposed model in the future.
Does a 6-week postpartum intervention impact psychosocial outcomes at 6-months? A follow-up of the ‘Essential Coaching for Every Mother’ randomized controlled trial (Preprint)
Authors: Dol Justine , Campbell-Yeo Marsha , Aston Megan , McMillan Douglas , Grant Amy K
Published: June 2024

BACKGROUND

Essential Coaching for Every Mother is a text message program that positively improved parenting self-efficacy and reduced postpartum anxiety when measured immediately after intervention at 6-weeks postpartum. However, it is unknown whether a short-term postpartum intervention can have impacts after it ended.

OBJECTIVE

To compare parenting self-efficacy, postpartum anxiety and depression symptoms, and perceived social support at 6-months postpartum for mothers in the Essential Coaching for Every Mother trial.

METHODS

Participants (n=150) were randomized to Essential Coaching for Every Mother or control (usual care). Data were collected on parenting self-efficacy (primary outcome), postpartum anxiety symptoms, postpartum depressive symptoms, and perceived social support at enrollment, 6-weeks postpartum, and 6-months postpartum. Data were analyzed using ANCOVAs and chi square analysis.

RESULTS

139 women completed the primary outcome at 6-months and 133 completed secondary outcomes. Mothers in the intervention group had higher postpartum anxiety scores (M=106.71, SD=20.93) than mothers in the control group (M=99.48, SD=19.25), p=0.012. In the chi square analysis comparing the proportion of participants who had clinically high scores between the control and intervention group, there was a significant difference for both postpartum anxiety and depression. More mothers in the intervention group had high postpartum anxiety scores (45.6%) and postpartum depression scores (22.1%) than mothers in the control group (23.5%, p<0.006 and 8.8%, p<0.03, respectively).

CONCLUSIONS

Early trial differences between groups were not maintained at 6-months postpartum, and more mothers in the intervention group clinically high postpartum anxiety and depression scores than mothers in the control. Future work is needed to understand whether a longer period of intervention would be helpful to maintain early impacts on psychosocial outcomes and what other factors can be attributed to this difference.

CLINICALTRIAL

ClincialTrials.gov NCT04730570

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/27138
Use of SNOMED CT in Large Language Models: Scoping Review (Preprint)
Authors: Chang Eunsuk , Sung Sumi
Published: June 2024

BACKGROUND

Large language models (LLMs) have substantially advanced natural language processing (NLP) capabilities but often struggle with knowledge-driven tasks in specialized domains such as biomedicine. Integrating biomedical knowledge sources such as SNOMED CT into LLMs may enhance their performance on biomedical tasks. However, the methodologies and effectiveness of incorporating SNOMED CT into LLMs have not been systematically reviewed.

OBJECTIVE

This scoping review aims to examine how SNOMED CT is integrated into LLMs, focusing on (1) the types and components of LLMs being integrated with SNOMED CT, (2) which contents of SNOMED CT are being integrated, and (3) whether this integration improves LLM performance on NLP tasks.

METHODS

Following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines, we searched ACM Digital Library, ACL Anthology, IEEE Xplore, PubMed, and Embase for relevant studies published from 2018 to 2023. Studies were included if they incorporated SNOMED CT into LLM pipelines for natural language understanding or generation tasks. Data on LLM types, SNOMED CT integration methods, end tasks, and performance metrics were extracted and synthesized.

RESULTS

The review included 37 studies. Bidirectional Encoder Representations from Transformers and its biomedical variants were the most commonly used LLMs. Three main approaches for integrating SNOMED CT were identified: (1) incorporating SNOMED CT into LLM inputs (28/37, 76%), primarily using concept descriptions to expand training corpora; (2) integrating SNOMED CT into additional fusion modules (5/37, 14%); and (3) using SNOMED CT as an external knowledge retriever during inference (5/37, 14%). The most frequent end task was medical concept normalization (15/37, 41%), followed by entity extraction or typing and classification. While most studies (17/19, 89%) reported performance improvements after SNOMED CT integration, only a small fraction (19/37, 51%) provided direct comparisons. The reported gains varied widely across different metrics and tasks, ranging from 0.87% to 131.66%. However, some studies showed either no improvement or a decline in certain performance metrics.

CONCLUSIONS

This review demonstrates diverse approaches for integrating SNOMED CT into LLMs, with a focus on using concept descriptions to enhance biomedical language understanding and generation. While the results suggest potential benefits of SNOMED CT integration, the lack of standardized evaluation methods and comprehensive performance reporting hinders definitive conclusions about its effectiveness. Future research should prioritize consistent reporting of performance comparisons and explore more sophisticated methods for incorporating SNOMED CT’s relational structure into LLMs. In addition, the biomedical NLP community should develop standardized evaluation frameworks to better assess the impact of ontology integration on LLM performance.
The Challenges of Disabled Students with Crippled Dreams and Reality: A Study on the University of Rajshahi, Bangladesh
Authors: Alim Abdul , Uddin Md. Samir
Published: June 2024

The mind is simply making the transition to dreaming faster than the body. While strengthening the mind our mental “muscles” improve our memory, attention, brain speed, people skills, intelligence, and navigation. The brain is at the core of everything we do, so make a change to build brainpower. This researcher has selected 51 disabled students through simple random sampling and data are classified and analyzed. Among them, respondents are students of 68.6% male and 31.4% female disabled students. They are facing many problems at the University of Rajshahi. Most of the respondent’s socio-economic conditions are medium and there are communication problems, no ramp in the maximum academic building, and no special facilities for disabled students. This research emphasizes that we should not consider disabled people as a burden to society. They have also the right to lead meaningful lives and the people having sound health should fulfill their rights.
Lung Cancer Detection and Classification Using CNN
Authors: Gawade S. K. , Borse Atharv , Gaikwad Aditya , Doli Harsh
Published: June 2024

Abstract: Recognized for its severity and widespread impact, cancer remains a leading cause of death worldwide, claiming countless lives annually. Touching upon cancer genres, pleura tumor tops the list as the most widespread and deadliest form. In the detection of pleura tumor, CT scans (computed topography) play a crucial role by offering a detailed view of tumor presence and progression. Although CT scans function as primary choice pleura tumor determination, the subjective nature of visual analysis can introduce inaccuracies and obstacles. Thus, the use of image processing methods has become prevalent in medaical research, particularly for the early determination of pleura tumor. This paper presents a new methodology for determine pleura cancer from given inputs. This study presents an algorithm aimed at detecting pleura tumor, which incorporates methods such as median filtering to preprocess images and a set of techniques used in image processing and computer vision for analyzing and manipulating shapes within images are employed to divide the bronchial area of focus. Geometrical features derived from this segmented area are then utilized in a support vector machine classifier to discern between healthy and peculiar CT scan images
Design and Analysis of Jigs and Fixtures for Inspection Process
Authors: Mamidwar Aditya , Khaire Chaitanya , Thorat Pratik , Deshmukh Akash , Mohare Prof. K. D.
Published: June 2024

Abstract: In the realm of vehicle manufacturing, ensuring precise panel fitment is paramount for maintaining quality standards and customer satisfaction. This report delves into the significance of panel and fitment checking fixtures in the automotive industry. The study provides a thorough examination of the design, construction, and utilization of these fixtures, emphasizing their critical role in verifying the accuracy and alignment of vehicle panels during assembly. By employing advanced measurement techniques and precision engineering, these fixtures serve as indispensable tools for detecting deviations and inconsistenciesin panel fitment. Furthermore, the report explores the integration of innovative technologies such as 3D scanning and computer-aided design (CAD) in the development of these fixtures, enabling manufacturers to achieve higher levels of accuracy and efficiency in the quality control process. Through case studies and industry insights, the report showcases the practical application and effectiveness of panel and fitment checking fixtures across various stages of vehicle production. Additionally, it highlights the benefits of implementing standardized fixture designs and methodologies to streamline manufacturing processes and minimize production costs.
Simulation and Analysis of Dynamic Voltage Restorer with PI Controller under Different Fault Condition
Authors: Budhraj  , Bhaskar Dr. M. K. , Parihar Manish
Published: June 2024

Abstract: This document gives formatting instructions for authors preparing papers for publication in the Proceedings of an IEEE conference. The authors must follow the instructions given in the document for the papers to be published. You can use this document as both an instruction set and as a template into which you can type your own text. The demand for quality power has become a challenging issue for industrial area and consumers. Among them voltage unbalance is considered as the major affecting problem leads to degradation in performance of electrical equipments. FACTS devices used for compensation are the best method to overcome such problem. Among them DVR considered the most efficient and cost effective. In a control system of the DVR main consideration includes: detection of the start and finish of the sag, voltage reference generation, transient and steady-state control of the injected voltage, and protection of the system. In this work, the simulation model of nonlinear load connected power distribution system with Dynamic voltage Restorer controlled by PI Controller has been developed using Matlab/Simulink. In this case we simulate three fault likewise: Three-line to ground fault, Double-line to ground fault and Single-line to ground fault with two different PI controller to study the THD.
Design and Implementation of 6-T SRAM using FINFET
Authors: Ravikiran Dr. P. , Manikiran M. , Sai N. Bhavana , Rathnakar J.
Published: June 2024

Abstract: SRAM is designed using conventional CMOS tech- nology to store data in memory. A lot of devices, including logic and memory, are having different issues as a result of the channel being lost of control. These include low leakage current, high power consumption, and short channel effects, which raise production costs and lead to significant changes in characteristics and decreased dependability. It is advised to employ FINFET based SRAM cells rather than traditional CMOS ones as a result of these problems. One of the primary elements that must be decreased in order to increase the stability of SRAM cellsis thought to be power dissipation and leakage currents. The amount of power dissipation and leakage currents can be de- creased using a variety of low power methods. These include the Self Controllable Voltage Level (SVL) technique, Power Gating, Stacking technique, Variable Threshold CMOS (VTCMOS), and Multi Threshold CMOS (MTCMOS). Here, we suggest designing a FINFET SRAM cell using the 28nm technological approach andcomparing its dynamic power consumption and stability to thatof the 8T FINFET SRAM cell. Every simulation is carried out using the Cadence Virtuoso Tool.
Research on Ecoguard Solar Powered IOT for Efficient Garbage Tracking
Authors: Rao I. Narasimha , Suhasini D. , Sri K. Vinutha , Krishna R. Gopi
Published: June 2024

Abstract: The "Eco Guard" project offers a novel way to improve the effectiveness of waste tracking and management by utilizing solar-powered Internet of things technology coupled with an ESP32 microcontroller. The inability of traditional waste management systems to precisely monitor waste levels and optimize collection routes results in resource waste and negative environmental effects.The Eco Guard project seeks to overcome these obstacles by putting in place a system that powers Internet of Things (IoT) devices with sensors for monitoring waste levels in real-time using renewable solar energy. The central processing unit is the ESP32 microcontroller, which makes it easier to gather, process, and send data to a cloud platform or centralized server.The Eco Guard project's salient characteristics comprise:Solar-Powered Mechanism: Utilizing solar energy guarantees continuous
Study of Vizag–Chennai Industrial Corridor Conceptual Development Plan
Authors: Babu Dr. Chilakalapudi Meher , Praveena Nuthakki , Reddy Dr. T. Srinivasa
Published: June 2024

Abstract: Infrastructure Development is critical for economic growth. It plays a significant role in setting upof an enabling platform for sustainable economic development. India must continue to create economicopportunities for its labor force, which is increasing by about 12 million a year. One urgentchallenge is to create more high value added and well-paying jobs in the manufacturing sector,which has been limited to 17% of GDP versus 21-29% in East and Southeast Asia. In a bid toenhance India’s manufacturing sector share, several initiatives were launched by thegovernment including its flagship Make in India campaign, which aims to make India a globalmanufacturing hub. Under the Make in India initiative, economic corridors will serve as abackbone of an internationally competitive manufacturing sector. Through provision of world-class infrastructure and favorable business environment, economic corridors are expected toattract foreign investment and facilitate the establishment of manufacturing centers. VCIC is a coastal corridor, ports play a significant role in the infrastructure strategy, as well as other industrialization enablers such as power and water supply. While their availability is a necessary condition for building a corridor, other critical elements include institutional frameworks, policies, and regulations that create a favorable investment climate, and the ease of doing business for investors, both domestic and foreign
Design & Fabrication of Water Optimized - Solar Panel Cleaning Robot
Authors: Mali Aniket , Jain Purvil , Futane Vaibhav , Jadhav Harshal , Devshette Prof. Ashish
Published: June 2024

Abstract: Maintaining a power capacity of solar cell is the main thing for exercising solar power system. Most common problems in solar power system are dust, beach, creature’s pollen and crops burning. These challenges have a huge impact on the power generation capacity of solar panel. The thing of the robot's conception design is to make a machine that's easy to install, adaptable in terms of configuration, and requires lower labourers and functional charges. The robot is equipped with helical comber skirmishes which are driven by dc motor so that the robot is enforced with a water sprinkle in order to clean the panels far and wide it moves through. In this design, a system contains a length dimension unit and bedded control schemes in order to drive a movement directly and to localize the positions of the robot.
Legal Review of Medical Crime: Patient Protection and Professional Responsibility in Medical Practice
Authors: Thahir Putri Shafarina , Tongat Tongat
Published: June 2024

This article discusses a review of the law related to medical crimes in the context of patient protection and professional responsibility in medical practice in Indonesia. Employing a normative juridical research method, this study combines conceptual analysis with statutory regulation, and there are two main topics studied, namely: (1) What patient rights are protected by law in medical practice in Indonesia and (2) The role of the code of ethics in determining professional responsibilities for practitioners and its relationship to medical criminal law. The first discussion elaborates on patients' fundamental rights protected by various laws and regulations in Indonesia, including the right to information, freedom to consent or refuse medical treatment, confidentiality of information, security and safety, comfort, and compensation. The most important and fundamental legal rules in the health legal system in Indonesia are Law Number 29 of 2004 concerning Medical Practice, Law Number 36 of 2009 concerning Health, Law Number 44 of 2009 concerning Hospitals, Law Number 17 of 2023 concerning Health, and Criminal Code / Kitab Undang-Undang Hukum Pidana (KUHP). The following section explains the crucial role of medical ethics codes in determining the professional responsibilities of medical practitioners, highlighting their intersection with criminal law. For instance, the principle of non-maleficence (not harm) can be linked to criminal negligence if a healthcare professional's actions cause significant patient injury. Similarly, the principle of respect for patient autonomy aligns with the legal requirement for informed consent. By exploring these connections with real-life examples, the article aims to comprehensively understand how law and ethics work together to protect patient rights in Indonesia. The relationship between the code of ethics and medical criminal law is discussed, emphasizing the consequences of ethical violations that can result in criminal sanctions. By analyzing these aspects, this article examines how medical criminal law can achieve justice for patients harmed by rights violations and ensure that the professional responsibilities of medical personnel are fulfilled. Hopefully, this study will improve the quality of health services and more transparent and accountable medical practices in Indonesia.
“Sete anos de atraso na vida!”: sobre as tecnologias sociais de gestão da crise e da crítica no desastre da Samarco
Authors: Zucarelli Marcos Cristiano
Published: June 2024

Desde o rompimento da barragem de Fundão, ocorrido em novembro de 2015, no município de Mariana, a mediação foi determinada por agências do Estado em aliança com as mineradoras rés como a forma mais célere de resolução dos conflitos. Com base no discurso da ocorrência de um “acidente”, a construção do que seria uma “justiça possível” foi estabelecida por esses agentes como “a melhor” forma de tratamento à “excepcionalidade” da situação. Assim, atuando na linha tênue do Direito Constitucional e dos acordos extrajudiciais, tecnologias de gestão da crise e da crítica foram aplicadas ao caso para a reparação dos danos. Apoiando-se na leitura de documentos técnicos e jurídicos, bem como no trabalho de campo, o objetivo deste artigo é promover uma reflexão sobre as tecnologias sociais de gestão adotadas no desastre da Samarco.
Recuperación funcional del brazo parético mediante la Terapia de Movimiento Inducido por Restricción en modalidad remota versus presencial: Un estudio en pacientes post- ictus de nivel socioeconómico bajo o medio.
Authors:   Universidad de La Frontera, Doussoulin Sanhueza Arlette , Saiz Vidallet José L ,   Universidad de La Frontera, Christie Lauren , Obreque Quian Mauro , Rivas Ramírez Claudia , Sepulveda Figueroa Paulina , Castro Sáez Karol
Published: June 2024

Background: Evidence suggests that low socioeconomic status (SES), being associated with lower digital alphabetization, may affect post-stroke telerehabilitation outcomes. Objectives: To compare in patients of low and medium SES (1) the functional recovery of the paretic arm when applying Modified Constraint-Induced Movement Therapy (CIMTm) in remote versus face-to-face modality and (2) to examine the role of patient's experience with the remote modality in this recovery. Material and methods: Randomized clinical trial composed of two intervention groups exposed to TeleCIMTm (n=22) and CIMTm (n=26). Assestment of upper limb function in the paretic arm was done at baseline (T1), at the end of de intervention, and one month later. Additionally, in T2 a survey was applied for measure the user experience on the remote modality. Results: Following the intervention (T2) it was found that both modalities increased the function of the paretic arm. However, when comparing data by sex in the TeleCIMTm group, men increased function to a greater extent, while in the CIMTm group there were no significant differences by sex. At the follow-up assessment (T3), participants continued to improve function regardless of modality and gender. In relation to the user experience, women reported a greater frequency of unfavorable events. Conclusions: The effectiveness of TeleCIMTm is comparable to the in-person version. The digital skills of patients with low and medium SES seem to be sufficient to benefit functionally from TeleCIMTm if optimal contextual conditions are guaranteed for carrying out the sessions. Key words: telerehabilitation, stroke, upper extremity (arm), occupational therapy, physiotherapy
PENGEMBANGAN E-KITAB MATAN KAILANI BERBASIS MIND MAPPING UNTUK MENINGKATKAN PEMAHAMAN ILMU SHARAF
Authors: 'Afifah Nur , Maisura Mira , Dewi Sarini Vita
Published: June 2024

Penelitian ini dilatarbelakangi oleh adanya kesulitan santri kelas II Ibtidaiyyah putri Dayah Ruhul ‘Atiq Al-Waliyyah dalam memahami kaidah-kaidah ilmu sharaf yang terdapat dalam kitab Kailani. Hal ini dikarenakan oleh kitab yang digunakan merupakan kitab arab gundul yang tidak berharakat, kalimat-kalimat yang tidak dipisahkan oleh tanda koma maupun tanda titik serta penyajian materi yang sangat padat. Tujuan penelitian ini adalah melakukan pengembangan e-kitab Matan Kailani berbasis Mind Mapping sebagai upaya dalam mengatasi masalah tersebut. Penelitian ini menggunakan metode Research & Develompent. Adapun Hasil uji kelayakan yang telah dilakukan terhadap produk e-Kitab Matan Kailani berbasis Mind Mapping dengan melakukan sebaran angket kepada ahli media dan ahli materi dengan rata-rata perolehan pada media yaitu 97,8% dengan kriteria penilain “sangat layak”. Sedangkan Hasil kelayakan dengan rata-rata perolehan pada materi yaitu 85,7% dengan kriteria penilain “sangat layak” serta direkomendasikan sebagai salah satu media yang dapat digunakan sebagai referensi tambahan dan sumber belajar bagi santri di Dayah Ruhul ‘Atiq Al-Waliyyah.Berdasarkan pengukuran yang dilakukan melalui pre-test dan post-test menggunakan statistik non parametrik uji Wilcoxon dengan nilai Z -3.502b dengan Asymp. Sig. (2- tailed) 0.000 < 0.05 menunjukkan bahwa Ha diterima dan H0 ditolak. Sehingga dapat disimpulkan bahwa adanya efektivitas dalam penggunaan e-kitab matan Kailani berbasis mind mapping untuk meningkatkan pemahaman ilmu sharaf terhadap santri kelas 2 Ibtidaiyyah di Dayah Ruhul 'Atiq Al-Waliyyah.
A LINGUAGEM NO ENSINO DE CIÊNCIAS: UMA ANÁLISE NOS DOCUMENTOS OFICIAIS DO BRASIL
Authors: Silva Tamiris de Almeida , Sedano Luciana , Fireman Elton Casado
Published: June 2024

Este texto parte do entendimento de que no ensino de Ciências, atividades interdisciplinares, envolvendo linguagem e conhecimentos científicos, fazem-se importantes para o desenvolvimento da aprendizagem dos estudantes nestas duas áreas do conhecimento: Linguagens e Ciências da Natureza. Sendo assim, neste trabalho, o objetivo da pesquisa é analisar como a legislação educacional brasileira pode contribuir para um ensino interdisciplinar nas aulas de Ciências, envolvendo linguagem e conhecimentos científicos, nos anos iniciais do Ensino Fundamental. Neste sentido, ao longo do texto, buscamos responder à seguinte problemática: Como as práticas da linguagem estão presentes no ensino de Ciências, a partir de uma análise nos documentos oficiais da educação brasileira? Isto posto, quanto à metodologia adotada na pesquisa, este estudo apresenta uma abordagem qualitativa e se classifica como pesquisa do tipo bibliográfica e documental; além disso, nas análises realizadas, foram utilizadas as técnicas da Análise Textual Discursiva. Então, os resultados do estudo apontam para o entendimento de que os documentos que compõem a legislação educacional brasileira, relacionados ao currículo e ao livro didático, apresentam fragilidades quando o assunto é a interdisciplinaridade no ensino de Ciências; ao mesmo tempo, este trabalho tem destacado o Caderno do Pnaic de Ciências da Natureza, enquanto material repleto de discussões teóricas e metodológicas sobre a interdisciplinaridade no ensino de Ciências, envolvendo linguagem e conhecimentos científicos, nos anos iniciais.
Late Hellenistic and Early Byzantine Poetry of the 2nd – 6th Сenturies. A Literary History
Authors:   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, Aleksandrova Tatiana L.
Published: June 2024

The monograph is an attempt, unique not only for Russian, but also for world scholarship, to present systematically the history of Greek poetry in the period of transition from Antiquity to the Middle Ages, a period usually ignored or covered in fragments in traditional literature courses. The author follows the literary process of the 2nd – 6th centuries in its entirety; its striving and searching for forms and senses and its mechanisms of transmission between traditions that existed in vast, multinational and multilingual territories in ancient culture. The book is addressed to specialists in ancient and medieval literature, as well as to a wide range of readers interested in this period.
Nuevas Prácticas Pedagógicas Encaminadas Hacia la Educación del Futuro: Cuestión Socio Científica como Metodología de Transformación en Colombia
Authors: Bedoya-Ortiz Dago Hernando
Published: June 2024

El desarrollo de este documento se originó a partir de una investigación sobre cómo los conceptos de educación, ciencia y tecnología están adquiriendo nuevos objetivos en los procesos de enseñanza en los últimos años. Su estructura se configuró considerando las siguientes palabras clave: prácticas pedagógicas, educación del futuro, cuestiones socio-científicas, métodos de enseñanza, ciencia y sociedad, y ciencia ecológica. Para abordar el tema planteado, se llevará a cabo una investigación con un nivel de análisis descriptivo, analítico y explicativo. Después de presentar la descripción del contexto, se iniciará una fase de análisis destinada a determinar la transición hacia las nuevas prácticas pedagógicas. Para interpretar los datos recopilados, se empleará la técnica del análisis documental.
Como resultado de este estudio, se concluye que el desarrollo de nuevas prácticas pedagógicas está estrechamente vinculado con la relación entre ciencia y sociedad, así como con la ciencia ecológica. La incorporación de las cuestiones socio-científicas como elemento pedagógico resulta especialmente relevante, ya que implica análisis, trabajo en grupo, investigación conjunta, confrontación de ideas, identificación de problemas y búsqueda de posibles soluciones.
En última instancia, las cuestiones socio-científicas abordan los problemas principales que despiertan el interés de los jóvenes, fomentando una reflexión esencial y coherente. Por esta razón, recientemente se ha realizado un esfuerzo por comprender la relación entre la ciencia, la opinión pública y el clima, utilizando una metodología conocida como Ciencia, Innovación, Sociedad y Clima.
Suppression of monkeypox virus by downregulation of fatty acid synthase and upregulation of cholesterol-25 hydroxylase
Authors: R Saba Aliyari , Shanaa Jean , Yu Daniel , Yamamoto Mari , Bateman Kaitlyn N. , Wang Lulan , Cheng Genhong
Published: June 2024

The re-emergence of the monkeypox virus (MPXV) three years after the
start of the SARS-CoV-2 epidemic further emphasizes the need to develop
broad spectrum antivirals (BSAs) that might control the spread of poorly
understood pathogens. The induction of innate immune responses to a
viral infection triggers rapid expression of type-I-interferon (IFN-I),
which subsequently results in the differential expression of more than
300 genes that foster an antiviral state. Whereas the expression of a
majority of these “interferon-stimulated genes” (ISGs) are enhanced, ,
other ISGs’ expression are suppressed, including some involved in lipid
metabolism which is hijacked to promote viral growth. Herein, we report
that the expression of fatty acid synthase (FASN), an enzyme involved in
de novo biosynthesis of fatty acids, was significantly reduced
upon MPXV infection. Moreover, MPXV infection was impaired in FASN
knockout cells, and biological inhibitors of FASN significantly
inhibited MPXV. Interestingly, the ISG chosterol-25-hydroxylase was
induced in MPXV-infected cells, and its enzymatic product,
25-hydroxychlosterol (25HC), blocked MPXV infection. Overall, this study
indicates that 25HC and FASN inhibitors are highly potent BSAs and may
have therapeutic applications in combating understudied infectious
diseases in early outbreak settings when targeted therapies have not yet
been developed.