bluuebunny/crossref_metadata_2025 huggingface dataset:
O IMPACTO DA LEITURA NA VIDA DO REEDUCANDO VAI ALÉM DOS MUROS DA INSTITUIÇÃO PRISIONAL
Authors: Rosa Maria Gabriela Herculano de Souza , Silva Isadora Margarete Guimarães da
Published: May 2024

O presente artigo tem como objetivo geral analisar o impacto da leitura na vida do reeducando, explorando como esse impacto transcende os limites físicos da instituição prisional. A questão do sistema prisional é um tema de grande relevância, especialmente no que diz respeito à ressocialização dos detentos. Diante desse contexto, surge a questão sobre os desafios que o Estado enfrenta em promover e ampliar o estímulo para que o apenado possa aderir ao instituto jurídico da Remição de Pena pela Leitura. Assim, a metodologia utilizada tem uma abordagem qualitativa, com revisão bibliográfica e análise de dados relevantes sobre o tema. São examinados relatórios, pesquisas e estudos acadêmicos que abordam o impacto da leitura na ressocialização dos detentos. Ao longo da análise, foi possível constatar que a leitura tem um impacto significativo na vida do reeducando, indo além dos muros da instituição prisional. Através do acesso à leitura, os detentos desenvolvem habilidades cognitivas, emocionais e sociais que contribuem para sua reintegração na sociedade. Além disso, a remição de pena pela leitura não só proporciona benefícios individuais aos detentos, como também promove uma cultura de respeito aos direitos humanos e à dignidade humana dentro do sistema prisional. No entanto, os desafios enfrentados pelo Estado em promover e ampliar o estímulo para que os apenados assentir a esse instituto jurídico ainda persistem, evidenciando a necessidade de políticas públicas mais eficazes nessa área.
A IMPORTÂNCIA DA LEITURA NA FORMAÇÃO DO INDIVÍDUO
Authors: Belo Elisabeth Mendes , Pereira Sandra Maria Jerônimo , Silva Bruno Henrique Fernandes da , Malta Daniela Paula de Lima Nunes , Andrade Filho Marcos Antonio Soares de
Published: May 2024

Este artigo explora o papel fundamental da leitura no desenvolvimento pessoal e intelectual dos indivíduos. Através de uma análise abrangente, são discutidos os benefícios da leitura em diversas áreas, incluindo a expansão do vocabulário, o aprimoramento da compreensão textual e o estímulo à criatividade e imaginação. Além disso, são examinados os impactos positivos da leitura na formação de valores, no desenvolvimento da empatia e na capacidade de reflexão crítica. O texto também destaca a importância da leitura como ferramenta para o sucesso acadêmico e profissional, evidenciando sua relevância em um mundo cada vez mais complexo e interconectado. Por fim, são apresentadas recomendações práticas para promover o hábito de leitura em diferentes faixas etárias e contextos sociais, visando contribuir para uma formação integral e enriquecedora dos indivíduos. Para tal, foram desenvolvidas as seguintes estratégias: a) uma pesquisa teórica bibliográfica sobre a importância da leitura e suas implicações para a construção da escrita, baseada na visão de diversos autores como: FREIRE, 2005, KRAMER, SÔNIA 2003; b) a pesquisa de campo, que abrangeu um questionário com alunos do Curso Técnico de Administração Subsequente, noturno.
The characteristics of cloud macro-parameters caused by the seeder–feeder process inside clouds measured by millimeter-wave cloud radar in Xi'an, China
Authors: Di Huige , Yuan Yun
Published: May 2024

Abstract. The seeding effect of upper clouds on lower clouds affects the evolution of clouds, especially the seeding from upper ice clouds on lower stratiform clouds or convective clouds, which can stimulate the precipitation of lower clouds and even produce extreme precipitation. When seeders of the seeding cloud enter the feeding cloud, the interaction between cloud particles results in the change in macro- and micro-parameters of the feeding cloud. Based on the observation data of a ground-based Ka-band millimeter-wave cloud radar (MMCR) and microwave radiometer (MWR) in spring and autumn from 2021 to 2022, the seeder–feeder phenomenon among double-layer clouds in Xi'an, China, is studied. The study on 11 cases of seeder–feeder processes shows that the processes can be divided into three types by defining the height difference (HD) between the seeding cloud base and the feeding cloud top and the effective seeding depth (ESD). Through analysis of the reflectivity factor (Z) and the radial velocity (Vr) of cloud particles detected by the MMCR and on the retrieved cloud dynamics parameters (vertical velocity of airflow, Va, and terminal velocity of cloud particles, Vf), it is shown that the reflectivity factor and particle terminal velocity in the cloud are significantly enhanced during the seeder–feeder period for the three types of processes. But the enhancement magnitudes of the three seeder–feeder processes are different. The results also show that the impact of seeding on the feeding cloud is limited. The lower the height and thinner the thickness of the HD, the lower the height and thicker the thickness of the ESD. On the contrary, the higher the height and the thicker the thickness of the HD, the higher the height and the thinner the thickness of the ESD.
Revised conceptual model of the Solfatara magmatic-hydrothermal system (Campi Flegrei, Italy), time changes during the last 40 years, and prediction of future scenarios
Authors: Marini Luigi , Principe Claudia , Lelli Matteo
Published: May 2024

Abstract. We revised the conceptual model of the Solfatara magmatic-hydrothermal system based on the results of new gas-geoindicators (Marini et al., 2022) and the available geological, volcanological, and geophysical information from surface surveys and deep geothermal wells. Using the new gas-geoindicators, we monitored the temperature and total fluid pressure over a time interval of ~40 years: (i) in the shallow reservoir (0.25–0.45 km depth), where CO equilibrates; (ii) in the intermediate reservoir (2.7–4.0 km depth), where CH4 attains equilibrium; (iii) in the deep reservoir (6.5–7.5 km depth), where H2S achieves equilibrium. From 1983 to 2022, the temperature and total fluid pressure of the shallow reservoir did not depart significantly from ~220 °C and ~25 bar, whereas remarkable, progressive increments in temperature and total fluid pressure occurred in the intermediate and deep reservoirs, with peak values of 590–620 °C and 1200–1400 bar in the intermediate reservoir and 1010–1040 °C and 3000–3200 bar in the deep reservoir, in 2020. The revised conceptual model allowed us to explain the evolution of: (a) pressurization-depressurization in the intermediate reservoir, acting as the “engine” of bradyseism, (b) time changes of total fluid pressure in the deep reservoir, working as the “on-off switch” of magmatic degassing. We also used the revised conceptual model to predict possible future scenarios in the lack of external factors.
GloUTCI-M: a global monthly 1 km Universal Thermal Climate Index dataset from 2000 to 2022
Authors: Yang Zhiwei , Peng Jian , Liu Yanxu , Jiang Song , Cheng Xueyan , Liu Xuebang , Dong Jianquan , Hua Tiantian , Yu Xiaoyu
Published: May 2024

Abstract. Climate change has precipitated recurrent extreme events and emerged as an imposing global challenge, exerting profound and far-reaching impacts on both the environment and human existence. The Universal Thermal Climate Index (UTCI), serving as an important approach to human comfort assessment, plays a pivotal role in gauging how humans adapt to meteorological conditions and copes with thermal and cold stress. However, the existing UTCI datasets still grapple with limitations in terms of data availability, hindering their effective application across diverse domains. We have produced GloUTCI-M, a monthly UTCI dataset boasting global coverage and an extensive time series spanning March 2000 to October 2022, with a high spatial resolution of 1 km. This dataset is the product of a comprehensive approach leveraging multiple data sources and advanced machine learning models. Our findings underscored the superior predictive capabilities of CatBoost in forecasting the UTCI (mean absolute error, MAE = 0.747 °C; root mean square error, RMSE = 0.943 °C; and coefficient of determination, R2=0.994) when compared to machine learning models such as XGBoost and LightGBM. Utilizing GloUTCI-M, the geographical boundaries of cold stress and thermal stress areas at global scale were effectively delineated. Spanning 2001–2021, the mean annual global UTCI was recorded at 17.24 °C, with a pronounced upward trend. Countries like Russia and Brazil emerged as key contributors to the mean annual global UTCI increasing, while countries like China and India exerted a more inhibitory influence on this trend. Furthermore, in contrast to existing UTCI datasets, GloUTCI-M excelled at portraying UTCI distribution at finer spatial resolutions, augmenting data accuracy. This dataset can enhance our capacity to evaluate thermal stress experienced by humans, offering substantial prospects across a wide array of applications. GloUTCI-M is publicly available at https://doi.org/10.5281/zenodo.8310513 (Yang et al., 2023).
Fostering change, empowering faculty: comments on the NURSLITT study and the five-year rule
Authors: Truex Eleanor , Hillyer Jean , Spinner Emily N.
Published: May 2024

The five-year rule must die. Despite an extensive literature search, the origins of the five-year rule remain unknown. In an era when the nursing profession is so focused on evidence-based practice, any approach that arbitrarily limits literature searches to articles published in the previous five years lacks scientific basis. We explore some reasons for the pervasiveness of the practice and suggest that librarians need to engage with nursing faculty, who are well-positioned to be change agents in this practice.
Generalized overview infographic: a customizable library instructional material on the NIH Data Management and Sharing Policy
Authors: Smith Katy
Published: May 2024

The Generalized Overview of the NIH Data Management and Sharing Policy Effective 2023.01.15 (Generalized Overview) is an instructional material that provides a basic, clear, and linear understanding of the NIH policy and its requirements. While not developing or utilizing new technology, the Generalized Overview is innovative and notable for creatively using a freely available graphic design tool to translate government policy language into an accessible and understandable infographic that can disseminate important information about the NIH DMS Policy needed by researchers and by those who support them. Shared via a Creative Commons license, others may fully adapt the infographic or may simply add their own institutional contact information. The Generalized Overview can be used by any who find themselves responsible for publicizing and/or teaching the NIH Data Management and Sharing Policy at their respective libraries and institutions. It is intended for educational purposes only and should not be used as a substitute for official guidance from the NIH.
Green Transformational Leadership, Green Creativity, and Green Product Development Performance Moderated by Green Dynamic Capabilities
Authors: Banahene Jerry Owusu , Classpeters Divina Dzifa , Opoku Oscar Agyemang
Published: May 2024

This research paper investigates how the relationship between Green Transformation Leadership (GTL), Green Creativity (GC), and Green Product Development (GPD) performance is moderated by Green Dynamic Capabilities (GDC). The research used a quantitative methodology and questionnaires to gather data, and it was based on the natural resource-based view of the firm. This study sampled 166 private manufacturing companies in Ghana. Structural Equation Modeling was used to analyse the data with the aid of Amos and SPSS software. The empirical findings from the study shows that the performance of green product creation and GTL are mediated by GDC. The study also showed that GTL affects the efficiency of GPD through green innovation. Additionally, it was found that GDC, via GC, regulates the association between GTL and green product creation. The study's results advance our understanding of how GDC mediate the link between GTL and GPD in firms.
From Consumer Needs to Corporate Success: Insights from a Survey on Product Perception
Authors: Asim Amish
Published: May 2024

The objective of this paper is to investigate South Punjab, Pakistan, consumers' mindsets and perspectives about consumer behavior, product quality, and business strategies. A total of 57 respondents took part in the survey, which consisted of an extensive list of questions on a nine-point Likert scale to assess consumers' perceptions and decisions. The findings reveal respondents' diverse perspectives on what a basic human need is, the extent to which the consumer should decide on what a product and a service is, the quality of goods and services, and the appropriate business strategy. Though there is agreement on some pertinent tendencies, such as the paramount importance of customer satisfaction for the effective performance of organizations, views about particular brands are substantially divided by factors of individual inclinations. This way, the findings of this research represent highly beneficial insights for the businesses operating in this realm to establish what the consumers within it actually want. This knowledge can be crucial for them, allowing them to shape their strategies more based on the specifics of their consumers.
Management Instruments for New Product Development (NPD), Customers' Satisfaction and Loyalty
Authors: Arshad Luqman
Published: May 2024

The objective of this paper is to examine the existing body of knowledge regarding the introduction of new products to the market, along with the factors that contribute to the launch's success. Considerable research has been devoted to examining the successes and failures of novel product development. The majority of these articles have employed the benefits point of product features and development methodology in their investigations. This article presents an analysis of the results obtained from a comprehensive collection of research that examines the factors that impact achievement. Conversely, we analyze the product through the lens of the launch support program. In order to offer an empirical response to the question of whether successful consumer product launch decisions vary, we begin by conducting a comparative analysis of the consumer product development process leading up to launching decisions across various market types. In regards to consumer goods, strategic launch decisions appear to be more defensive, as they prioritize the preservation of current market positions. As a result of leveraging technology and innovation to expand into new markets and operate beyond their current scope of operations, consumer goods strategy launch decisions appear to be more assertive than in the past. Furthermore, the determinations pertaining to the implementation of the tactical marketing mix (comprising product, place, promotion, and pricing) vary considerably among the newly introduced products.
The Legend of Batu Guru in Pangaloan Village Nainggolan District: Socio-Literature Study
Authors: Tua Sihite Michael Ruben , Sinulingga Jekmen , Sinaga Warisman
Published: May 2024

In this research the author discusses the Legend of Batu Guru in Pangaloan Village, Nainggolan District: Socioliterary Study. The problem in this research is the intrinsic elements of the Batu Guru folklore, the literary sociological values ​​contained in the Batu Guru legend and the public's view of the Batu Guru legend. The legend of Batu Guru is a form of story owned by the Toba Batak community, which is precisely located in Pangaloan village, Nainggolan District, Samosir Regency. This research aims to determine the structure of the story and determine the sociological values of the Batu Guru legend literature. The arrangement of stories and events that occur in the Batu Guru folklore is structured and translated into a story and explores the cultural values in it. The method used in analyzing this research problem is a descriptive method with field research techniques. This research uses structural theory and sociological theory of literature. The intrinsic elements in this story include: theme, plot, setting, and character. The legend of Batu Guru is believed to tell the story of a stone that was created as a result of a fight between two warring buffalo, even though they had been cursed to become stone, they still fought. Based on this research, until now Batu Guru is still located in Pangaloan village, Nainggolan District.

Keywords: Sociological Analysis of Literature, Legend of Batu Guru
The Influence of Digital Literacy, Financial Literacy, and Economic Literacy on Adolescent Financial Management in Sumberejo Village
Authors: Novita Anggraini Ari Saputri , Prastyaningtyas Efa Wahyu , Irmayanti Elis
Published: May 2024

This study aims to determine whether there is an influence between digital literacy, financial literacy, and economic literacy on the financial management of adolescents in Sumberejo Village. This research method is quantitative, with a population of adolescents in Sumberejo Village. Where, the sample in this study was 143 adolescents using simple random sampling technique, with the help of SPSS software version 24. Based on the data analysis conducted, it was found that the partial test results on the variable of digital literacy had a Sig. 0,000 < 0,05. The variable of financial literacy obtained a Sig. 0,001 < 0,05. The variable of economic literacy obtained a Sig. 0,000 < 0,05. The analysis of the research data using the F-test (simultaneous test) obtained the results of Fcount = 72.537 with a significance value of 0.000, so the variable of financial management (Y) is simultaneously influenced by the variables of digital literacy (X₁), financial literacy (X₂) and economic literacy (X₃).

Keywords: Digital Literacy, Financial Literacy, Economic Literacy, Financial Management
Perspektif Islam Terhadap Aplikasi Kencan : Menyeimbangkan Teknologi Modern Dengan Nilai Budaya
Authors: Ahdini Allifia , Duri Cindy Rafika , Nur Pratiwi Syifa
Published: May 2024

Dating App or online dating application has become a form of social interaction that is increasingly popular in today's digital era. Dating app users have a tendency to use online dating apps which often leads to unstable or temporary relationships. Basically the law of interaction carried out by the opposite sex in the view of Islam who is not a mahram, is clearly unlawful if it creates mafsadah (danger) for both of them. Making friends or making friends between the opposite gender is not a problem in Islam. But still within the limits that have been set.
A 4:1 ketogenic diet to acute stroke patients is safe and feasible: A randomized controlled trial
Authors:   Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark., Mortensen Charlotte Gylling , Pedersen Rie Johanne ,   Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark., Steen Britta Marie ,   Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark., Iversen Helle Klingenberg ,   Department of Neurology, Glostrup Hospital, Glostrup, Denmark., Meden Per ,   Department of Neurology, Bispebjerg Hospital, Copenhagen, Denmark., Overgaard Karsten ,   Department of Neurology, Herlev Hospital, Herlev, Denmark., Andersen Jens Rikardt ,   Department of Nutrition, Exercise and Sports, University of Copenhagen, Denmark.
Published: May 2024

Objective: Ketone bodies can meet more than 60% of brain’s energy needs. Controlled studies consistently show neuroprotective effects in ketotic rodents with induced ischemia. We studied the safety and feasibility of using a ketogenic diet for acute stroke patients and investigated potential neuroprotective effects. Research Methods & Procedures: Acute stroke patients were randomized to a 4:1 ketogenic diet or to a standard hospital diet for one week at three different hospitals in Copenhagen. Primary endpoints were: physical function, fasting b-glucose and p-C-peptide. Secondary endpoints included: nutritional intake, gastrointestinal complications, lipids, safety blood markers and degree of ketosis.
A Universal approach to cell separation based on reversible biotin analog with streptavidin magnetic beads
Authors:   ABP Biosciences 405 E Gude Dr, Rockville, MD 20850, USA., Ying Laiqiang , Ying Andy ,   Montgomery Blair High School 51 University Blvd E, Silver Spring, MD 20901, USA.
Published: May 2024

Cell separation is a critical process in biological and biomedical research, and in clinical therapy. The gold standard of cell separation techniques are fluorescence-activated cell sorting (FACS) and magneticactivated cell sorting (MACS). Despite this, there are still some limitations with FACS and MACS such as low recovery and purity, and affecting the cell physiology and viability. Herein, we report a universal cell separation approach based on reversible binding between N3′-ethyl biotin and streptavidin, which allows for fast capturing of target cells from cell mixture, and fast and complete releasing cells from magnetic beads under mild, physiological conditions. This universal method for detaching cells from magnetic beads provides an efficient cell separation technique based on MACS to give high recovery, high purity, and high viability of cells.
New late-onset myasthenia gravis following mRNA COVID-19 vaccination: Case report and literature review
Authors:   Koç University Hospital, Department of Neurology, Istanbul, Turkey, Bulus Eser , Ucem Selen ,   Koç University School of Medicine, Department of Neurology, Istanbul, Turkey., Yunisova Gulshan ,   Koç University Hospital, Department of Neurology, Istanbul, Turkey, Oflazer Piraye ,   Koç University Hospital, Department of Neurology, Istanbul, Turkey
Published: May 2024

Introduction: Myasthenia gravis (MG) is a rare autoimmune disorder of the neuromuscular junction associated with post-synaptic skeletal muscle membrane protein autoantibodies against the nicotinic acetylcholine receptors (ACh-R), muscle-specific kinase (MuSK) or agrin and lipoprotein receptor-related protein 4 (LRP4). The disease pathomechanism is complex, with predisposing human leukocyte antigen genes, pro-inflammatory cytokine profile, sex hormones, pharmacological agents, and environmental triggers. Several case reports suggest SARS-CoV-2 infection and Covid-19 vaccines as a possible trigger of MG.
Simultaneous occurrence of type 3b esophageal atresia and hypertrophic pyloric stenosis: A rare coexistence
Authors:   Clinic for Pediatric Surgery, Klinikum Kassel, Kassel, Germany., Beher Amit , Ortega-Lawerenz Sabine ,   Institute for Pediatric Radiology, Klinikum Kassel, Kassel, Germany., Herbst Matthias ,   Clinic for Pediatric Surgery, Klinikum Kassel, Kassel, Germany., Öhl Heike ,   Clinic for Pediatric Surgery, Klinikum Kassel, Kassel, Germany., Großer Kay ,   Clinic for Pediatric Surgery, Klinikum Kassel, Kassel, Germany.
Published: May 2024

Background: Hypertrophic pyloric stenosis (HPS) and Esophageal Atresia (EA) are two distinct congenital malformations that rarely occur simultaneously. However, there have been reported cases of the simultaneous occurrence of HPS and EA, suggesting a potential relationship between these two conditions. The clinical features of the simultaneous occurrence of HPS and EA can be modified and the diagnosis may be delayed. Case presentation: We present a rare case of a newborn with simultaneous Type 3b esophageal atresia and hypertrophic pyloric stenosis. Following surgical correction of esophageal atresia, the patient exhibited symptoms of projectile vomiting, which were subsequently confirmed through ultrasound examination to be associated with hypertrophic pyloric stenosis. The patient was successfully managed through surgical intervention, and the outcomes were favorable. Conclusion: This case report aims to highlight the significance of preoperative screening for hypertrophic pyloric stenosis in patients diagnosed with esophageal atresia, based on current literature.
Sustained complete response to chemotherapy in a patient with advanced merkel cell carcinoma: A case report
Authors:   Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology, IEO, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy., Noguez-Ramos Alejandro , Pisa Eleonora ,   Division of Pathology, European Institute of Oncology, IEO, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy., Gilardi Laura ,   Division of Nuclear Medicine, European Institute of Oncology, IEO, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy., Fazio Nicola ,   Division of Gastrointestinal Medical Oncology and Neuroendocrine Tumors, European Institute of Oncology, IEO, IRCCS, Via Giuseppe Ripamonti, 435, 20141 Milan, Italy.
Published: May 2024

Merkel cell carcinoma (MCC) is a rare neuroendocrine skin cancer. Over the last decade immune checkpoint inhibitors (ICIs) replaced chemotherapy as the recommended first-line therapy option. Across nonrandomized studies chemotherapy showed an overall response rate (ORR) ranged from 50% to 60%, a complete response (CR) rate from 3% to 30% and a progression free survival (PFS) of 3-4 months. We report a clinical case regarding a 72-year-old woman with MCC with right gluteus cutaneous lesion and inguinal and iliac lymph-adenopathies at diagnosis. The initial treatment was based on systemic chemotherapy with carboplatin + etoposide followed by lymphadenectomy. A pancreatic recurrence occurred after thirteen months, histologically confirmed. Systemic chemotherapy with the same regimen yielded a CR without a further progression for the subsequent eight years. The patient died due to nononcological causes, MCC-free, 11 years after the diagnosis.
Synthesis and Characterization of ZnO-CuO Nanocomposites Thin Film for Optoelectronics Applications
Authors: Brahim Gharbi
Published: May 2024

In this work, the spray pyrolysis technique on glass substrates at 480°C was effectively used to generate ZnO, CuO, and n-ZnO/p-CuO nanocomposite thin films. The structure of the ZnO thin films exhibited a hexagonal wurtzite type. In the visible region of the spectrum (400–700 nm), the resulting films had optical transmission ranging from 73% to 83% and optical band gap fluctuations of 3.23 to 3.25 eV. Analysis of the m-lines spectroscopy revealed that the obtained thin layers (ZnO, ZC3, and ZC7) exhibited two modes for both TE and TM polarizations across different molar percentages. This observation confirms the efficacy of the spray pyrolysis deposition technique in producing high-quality waveguides based on ZnO.
Knowledge Graph Construction and Digital Twin Modeling Integrating Multi-modal Data
Authors: He Fangzhou
Published: May 2024

Supply chain analytics is focusing more and more attention on industrial logistics. Optimal allocation of assets is severely restricted by the timing inconsistency and geographical instability of industrial logistics assets brought by unpredictability and variability. Unnecessarily lengthy drive distances and lengthy delays are caused by the incapacity to acquire and utilize industrial logistics asset spatial-and-temporal (ST) qualities rationally, which affects the processes' potential to operate sustainably. Thus, for efficient usage of resources in industrial logistics, a novel machine learning (ML)-assisted knowledge graph (ML-KG) design is provided in this work. For evaluating the multi-modal data produced by widely deployed IoT devices, a novel customizable diversified kernelized support vector machine (CDK-SVM) approach is also suggested. After establishing the suggested ML-KG framework for ST integrity in the representation of the digital twin version, links are carried out and reasoning is performed using job data related to industrial logistics. The graph mechanism effectively distributes the industrial logistics resources. Lastly, the outcome proves that the suggested process is successful in the distribution of industrial logistics assets.
Design of English Teaching Capability Evaluation Model Under Big Data Analysis
Authors: Liqin He
Published: May 2024

Traditional methods of evaluating English teaching capability involve a considerable degree of subjective human judgment, leading to classification errors in big data information. To improve the comprehensiveness and accuracy of English teaching capability evaluation, it is necessary to construct a corresponding evaluation model based on big data. This paper employs the k-means clustering analysis algorithm to devise a system structure design for English teaching capability, applies constrained parameter big data structure analysis, and proposes utilizing a quantitative recursive approach to evaluate the teaching capabilities of big data information models based on cluster analysis. The simulation results demonstrate that the method designed in this paper can enhance the comprehensiveness and precision of English teaching capability evaluation, thereby contributing to the advancement of information fusion analysis capabilities.
Research on the Characteristics of Industrial Talent Demand Depending on Big Data Technology
Authors: Li Li
Published: May 2024

For a long time, there is a mismatch between supply and demand for industrial talents, and it is difficult to achieve a dynamic balance between talent supply and job demand. This paper aims to mine and analyze the characteristics of industrial talent demand through big data technology, so as to provide skills training reference for talent supply and provide talents with high matching degree for job demand. In this paper, TF-IDF is used as a feature selection method to extract highly representative feature words to help distinguish different talent information data to a greater extent. In addition, combined with the construction method of statistical analysis, quantitative indexing analysis of talent information data is carried out, which enhances the expansion of label system and makes talent portraits more precise and accurate. Through the experimental research, it is proved that the research system of industrial talent demand characteristics proposed in this paper can effectively analyze and match the characteristics of industrial talents. Therefore, in the social employment and higher education, we can combine the methods proposed in this paper to assist decision-making, and promote the dynamic balance between the demand and supply of industrial talents.
HealSmart Homes: Integrating Technology for Enhanced Convalescent Care
Authors: Kanimozhi T
Published: May 2024

The hospital facility's events are managed by Smart Convalescent Home. It provides modules for novice and experienced doctors, keeping track of patients' records, scheduling visits, etc. Major concerns, such as Lack of immediate retrievals; Going through the register to retrieve healthcare data is a challenging and time-consuming operation. Insufficient data storage: While storing these data requires additional space and work to be placed in the proper location. A lack of timely updating makes it challenging to make various adjustments to historical data. It has six modules. Doctor Module where doctors can write new prescriptions, schedule patient visits, and view their patients' medical histories. Patients module where the patient has the option to access his or her own personal record, request an appointment with the doctor, and update any medical information. Admin module where the admin module offers the ability to accept a doctor and patient, manage their information, and discharge the patient. Disease prediction module that provides analysis for three diseases, namely for the prediction of the coronavirus, chronic kidney disease, and cardiac disease. The affection stage of the disease is evaluated in a scenario where the disease is predicted in the patient's body using various parametric values and by creating some datasets the machine learning model has been deployed into a website based on the predicting findings. Yoga posture analysis feature that teaches users how to perform any asana accurately and correctly. Encourage people to train independently of a trainer. Any type of exercise can be performed within the home. Therapy that functions as a mood enhancer, similar to how music has healing properties. Users can play games that promote brainstorming while also learning something new in a pleasant way.
Advancements in Breast Cancer Detection: Harnessing Artificial Neural Networks for Improved Accuracy
Authors: P.Narasimhaiah
Published: May 2024

Female breast malignancy is the exceedingly prevalent reason for the demise of women around the world. Women who are revealed to have breast cancer earlier in life get a lower death rate from the disease and increase the life expectancy of patients. Mammography screening is one of the effortless, efficient, and affordable ways to identify breast cancer in advance. The early investigators pioneered many methods based on statistical measurements and textural traits for the earliest identification of carcinoma of the breast. Due to artefacts, noise, pectoral muscles, and irregular illumination, the accuracy of cancer prediction in these works is relatively low.   The accuracy of predictions made by employing textural characteristics for forecasting breast cancer in earlier work is 83.33%. The research proposal processes of mammograms to remove noise, artefacts, pectoralis, and inconsistent illumination in an endeavor to increase forecast accuracy. The proposed research uses an Artificial Neural Network (ANN) to classify breast masses as benign or malignant based on geometric pattern features. Its prediction accuracy is 86.67%, which is superior to research studies based on textural and statistical characteristics of breast mammograms.
Biodegradable Activated Carbon Material Derived from Eggplant Waste for Enhanced Supercapacitor Performance
Authors: Yakub Banothu
Published: May 2024

Agricultural-waste-derived porous carbon and vegetable-waste-derived porous carbon materials have been extensively studied as electrode materials for high-performance supercapacitors due to their abundance and ability to be consistently reproduced. This paper focuses on utilizing eggplant waste, the primary by-product, as a precursor for producing porous carbon through the easy carbonization and activation process. The resultant porous carbon is then employed as an electrode material for supercapacitors. The Eggplant waste-derived porous carbon exhibits a notable surface area of 1095.4 m2 g-1. This carbon material possesses the benefits of being cost-effective and environmentally friendly while exhibiting superior electrochemical performance in comparison to materials obtained from agricultural waste. The carbon electrode made from eggplant demonstrates an energy density of 9.19 Wh Kg-1 and a power density of 2880 W Kg-1, indicating its outstanding energy storage capacity.
Neural Guidance for Predicting Early Readmission in Diabetic Patients
Authors: Duddukunta Rajasekhara Reddy
Published: May 2024

This study builds on the first paper's look at using machine learning to predict which diabetic patients will need to go back to the hospital. The information used comes from Kaggle and is made up of details of diabetic patients. The first steps include importing packages, exploring datasets, and cleaning, which includes changing binary classes and getting rid of columns that aren't needed. Using Seaborn and Matplotlib to make a full picture of the information helps people understand it better. LabelEncoder is used for label encoding, and feature selection methods are used. After that, the data is split into sets that are used to train and test both deep learning and machine learning models. As part of the study, different models for binary and multi-class classification were built. These models include S V M, Random Forest, Guided Artificial Neural Networks (ANN) with different optimization methods, and Voting Classifier and Stacking Classifier ensemble methods. It was also very accurate when a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) was used. The study also includes a Flask framework that is connected to SQLite for user registration and lets users enter feature values for forecast. The data that has already been handled is then used by the learned models, and the end results are shown on the front end. The study was expanded by using ensemble methods, which showed that CNN + LSTM is more accurate than past methods. Adding user identification and interface development makes the models more useful in real life, giving us a more complete way to predict diabetic return.
Quantum Convolutional Neural Networks for Line Orientation Classification in Pixelated Images
Authors: Haskar Marapelli
Published: May 2024

Quantum Convolutional Neural Networks (QCNNs) offer a promising avenue for image classification tasks due to their potential to leverage quantum properties for enhanced computational capabilities. In this paper, we explore the application of QCNNs for line orientation classification in pixelated images. Specifically, we investigate the differentiation between horizontal and vertical lines, a fundamental task in image processing and computer vision. We propose a QCNN architecture tailored to this task, leveraging quantum convolutional layers to extract features from pixelated images and classify line orientations. We demonstrate the effectiveness of our approach through experimental evaluation on benchmark datasets, comparing the performance of QCNNs with different optimizers. Our study integrated the QCNN operator and optimizer into Qiskit Machine Learning’s Neural Network Classifier, leveraging quantum computing techniques for classification tasks. Our QCNN model demonstrated a training accuracy of 71.43% and a test accuracy of 60.0%. Noteworthy observations include the failure of the SPSA optimizer to converge within the designated iterations, requiring twice the iterations compared to the COBYLA optimizer for convergence.
Analyzing the factors influencing satisfaction and continuous use intention of Chinese government WeChat official accounts: Applying SEM approach
Authors: Xianghui Lai
Published: May 2024

Government WeChat official accounts (GWOAs) have been increasingly and widely adopted by Chinese government agencies to provide public services for the people. However, there is a lack of research concentrating on this subject; Methods: Based on 714 user survey results, the satisfaction and sustained intention models of GWOA were evaluated using Structural Equation Modeling (SEM); Results: factors including perceived usefulness, perceived ease of use, expectation confirmation, and network externality can positively affect GWOAs satisfaction and continuance, while the factor, perceived risk, can have negative effect on them. In the mediating effect analysis, users’ satisfaction of GWOAs mediates the effects of perceived ease of use and perceived usefulness on GWOAs continuous use intention; network externality mediates the effects of perceived risk on GWOAs continuous use intention; users’ both perceived usefulness and satisfaction of GWOAs mediate the effects of expectation confirmation on GWOAs continuous use intention.; Conclusions: perceived usefulness, perceived ease of use, expectation confirmation, network externality and perceived risk have been significant to determine users’ satisfaction and continuous use intention of GWOAs. This research has potential application value in helping the government agencies, as operators of GWOAs, to enhance users’ satisfaction and continuous use intention of GWOAs.
Bridging the Gap: Human and AI Interpersonal Communication Capacities for Veterinary Care Management
Authors: Eko Pamuji
Published: May 2024

This study investigates the impact of ChatGPT, an Artificial Intelligence (AI) platform, on interpersonal communication in the context of Veterinary Service. First, it compares the solutions and knowledge provided by ChatGPT with those of Communication Science students. And then, content analysis is employed to categorize the data collected from both sources. The study aims to shed light on the application of ChatGPT in Communication Science research and provide insights into future challenges and prospects for Veterinary Services. It emphasizes the need for Veterinary Services to adopt a comprehensive communication strategy that bridges the digital divide and fosters meaningful connections. Despite several challenges, integrating digital and traditional communication practices is seen as a pathway for enhancing patient satisfaction.
A Blockchain Based Data Sharing System for Health Care Applications
Authors: Lokendra Singh Songare
Published: May 2024

Researchers recently were battling to produce an ever-more effective prediction model. Studies have found that when the artificial intelligence (AI) model is trained with a wealth of information, it performs better and generalizes better. Research institutions, testing labs, hospitals, and other organizations can share their information and work together to improve the training algorithm. All companies wanted to respect the confidentiality of their data, but they still want effective and precise teaching methods for a spectrum of uses. Regarding the ethical and regulatory concerns about medical data privacy, data sharing among numerous organizations is limited. In health care systems,we describe a unique solution that integrates locally taught AI from over blockchain for enhancing disease prediction by addressing the identified gap, while maintaining anonymity and allowing data exchange. Using the information to ensure privacy poses a number of issues. This study provides a Modified Needleman-Wunsch algorithm (MNWA) for data sharing. The Artificial Neural Network (ANN) model is used for trust-enabled smart contracts. Python software performs the implementation work. A detailed experimental survey was performed to test the importance of our proposed strategy for effective early prediction and diagnosis. The proposed model's extensive experiments demonstrate a proposed method may detect ailments and boost efficiency.
Advanced Smart Channel Estimation Scheme for MIMO OSTBC Systems Based Wireless Communication
Authors: Rajat Gupta
Published: May 2024

Labeling diversity is used in an orthogonal space-time block coded (OSTBC) scheme to improve wireless connection reliability without reducing spectral efficiency. Compared to the conventional STBC system, it achieves improved link dependability. The purpose of this work is to provide a blind wireless channel estimator that is bandwidth-efficient for the OSTBC system. Methods for channel estimation, such as least-squares (LS) & minimum mean square error (MMSE) methods typically use the channel bandwidth inefficiently. The receiver noise variance and prior broadcast pilot symbols knowledge & statistics information of channel are required for LS & MMSE channel estimating algorithms to accurately estimate the channel. An neural network machine learning (NNML) channel estimation with transmitter end power-share is suggested in order to make blind channel estimator simpler for the OSBC-based MIMO transmission & to lessen amount of bandwidth requirement for estimation of channel. By using mathematical modeling equivalent to noise power, we determine the ideal transmit fraction of power that reduces bandwidth consumption due to channel estimate. It is demonstrated that the blind NN-ML nased channel estimation with transmitter power-share uses 20% of the bandwidth of the MMSE & LS wireless channel estimators in order to achieve the OSTBC system's low bit error rate (BER) in the case of M-PSK modulation.
貴身與養生──老子的身心關係探析
Authors: 王婷玟 王婷玟
Published: May 2024

老子的貴身思想中，看似矛盾的患身與貴身兩種定義下，是詮釋老子於「身」的多重定義解釋而產生的，透過辨析老子所言之「身」包含著精神與肉體兩種概念，便能了解其貴身思想並非教人「輕身」。此外，身與心之間的交互作用，也於老子的養生觀中展現，其教人養生首先需要養心的思想，也表現出心之於生命穩定和諧的重要。因此，對於看似不同的貴身與養身思想，本文將透過內在精神與外在身軀的討論與辨析，了解兩者的關聯性，並說明老子思想中的身心關係為達成和諧自然為最終目標，希望藉由不偏重任何一方的身心並重，使生命安穩長久。

 
賴和歷史事件詩寫作技巧研究──以＜流離曲＞為例
Authors: 林淑霞 林淑霞
Published: May 2024

賴和的新詩＜流離曲＞係針對1925-1926「退職官拂下無斷開墾地」事件而作。在日治時期，白話文正欲開展時，賴和的新詩〈流離曲〉即能使用簡潔的文字、白描的手法敘寫歷史事件詩，深刻而細膩地描述出日治時期「退職官拂下無斷開墾地事件」，殖民政府執法不公，巧取豪奪，喪盡天良的行徑，以及農民被剝奪殆盡，無以為生的悲慘窘境。賴和寫作的視角是與社會大眾站在一起，他特別能同理他人，感同身受，進而關懷社會大眾的苦難，批判加諸苦難於底層人民的殖民者，為弱勢者發聲。在藝術美學方面，在空間場景的視覺與聽覺的營造，每一個場景都立體可觀。在運用修辭的表現手法方面，賴和已呈現豐富多元的修辭技巧，譬喻、轉化、映襯、設問、對偶、類疊、反諷、誇飾、排比等，讓整首詩蕩氣迴腸，呈現出激昂澎湃的情感。整首詩鋪陳到最後，最重中之重，直陳殖民政府執法犯法，並提倡大眾、勞工、農民要團結起身抗議不公的激昂詩句，其反抗殖民統治的思想言論直接踩到當局的紅線，檢查未能獲得通過，遭到全數刪除，報刊因而「開天窗」。由此可證，賴和詩作的名句「勇士當為義鬥爭」，亦是他一生奮鬥不懈的行動句。

 
金本《水滸傳》中宋江與李逵互動中呈現的人情批評――以三十七回「及時雨會神行太保，黑旋風鬪浪裏白條」為例
Authors: 許妙慧 許妙慧
Published: May 2024

《水滸傳》角色眾多，大多形象鮮明，身分多為庶民階級，角色間的互動、對於共同事物的反應和態度，不僅展現不同人物的價值觀，也呈現出對於社會的不同看法。《水滸傳》表現了人情義理，尤其重義，不同性格的角色對人情義理的展現也不盡相同。眾多角色當中，宋江與李逵間的形象彼此對照、互相襯托，在一些研究中也能看見學者將二人在性格、形象和結局方面，進行共同分析比對。金本《水滸傳》三十七回，是宋江與李逵的初次見面，金聖歎亦對二人的描述、互動評點。本篇將以社會階層為出發，研究二人的形象，及該回二人的互動呈現出的人情，而金聖歎是如何評論宋李二人，還有此回展現的人情，並分析金對內容的評論。

 
Competencias directivas para un liderazgo eficiente en el Nivel Inicial
Authors:   Universidad Nacional de Loja (UNL), Facultad de la Educación, el Arte y la Comunicación., Samaniego Torres Diana Patricia , Jumbo Salinas Gloria Noemí
Published: May 2024

La formación profesional en los estudiantes de la Carrera de Educación Inicial de la UNL, requiere de un análisis minucioso en el desarrollo de las diferentes asignaturas. Es importante revisar algunas temáticas que permitirán fortalecer el perfil profesional de los estudiantes, quienes aspiran a ocupar cargos directivos de las instituciones de Nivel Inicial, se compararán los aportes teóricos de algunos autores expertos en el tema. El objetivo primordial es analizar el perfil de egreso del estudiante de Nivel Inicial en competencias directivas durante su formación profesional, para ello se aplicará una metodología cualitativa, a través de una revisión minuciosa de artículos científicos y bibliografía sobre la temática, cuyos resultados contribuirán a mejorar los componentes de aprendizaje en las diferentes asignaturas, asumiendo la importancia de direccionar las instituciones del Nivel Inicial con conocimientos sólidos que coadyuven a mejorar el perfil del profesional que asume la administración de éstos centros educativos
Rezension von: Piccard, Gerhard (Bearb.), Die Ochsenkopfwasserzeichen ...
Authors: Ulshöfer Kuno , Piccard Gerhard
Published: May 2024

Gerhard Piccard (Bearb.): Die Ochsenkopfwasserzeichen. Teil 1-3, Stuttgart 1966, 818 Seiten. DM 192,-.
Gerhard Piccard (Bearb.): Die Turmwasserzeichen. Stuttgart 1970, 332 Seiten, DM 90,-.
(= Veröffentlichungen der Staatlichen Archivverwaltung Baden-Württemberg. Sonderreihe: Die Wasserzeidienkartei Piccard im Hauptstaatsarchiv Stuttgart. Findbücher II und III.)
Rezension von: Duncker, Christoph (Hrsg.), Matthäus Alber, Reformator von Reutlingen
Authors: Wunder Gerd , Alber Matthäus
Published: May 2024

Matthäus Alber, Reformator von Reutlingen. Berichte und Dokumente herausgegeben . . . von Christoph Duncker (Dekanat Reutlingen 1970). 75 S. Ill. DM 7,20.
Rezension von: Zürn, Hartwig, Hallstattforschungen in Nordwürttemberg
Authors: Huber Hermann , Zürn Hartwig
Published: May 2024

Hartwig Zürn: Hallstattforschungen in Nordwürttemberg (Veröffentlichungen des Staatl. Amtes für Denkmalpflege. A: 16). 1970. 128 S. 112 Tfl.
Rezension von: Fehring, Günter P., Grabungen in Siedlungsbereichen des 3. bis 13. Jahrhunderts sowie an Töpferöfen der Wüstung Wülfingen am Kocher
Authors: Wunder Gerd , Fehring Günter P.
Published: May 2024

Günter P. Fehring: Grabungen in Siedlungsbereichen des 3. bis 13. Jahrhunderts sowie an Töpferöfen der Wüstung Wülfingen am Kocher. (Aus: Chateau Gaillard III, European Castle Studies, 1969, S. 48-60, Ill.)
Rezension von: Gutöhrlein, Friedrich, Wie’s daheim war
Authors: Wunder Gerd , Gutöhrlein Friedrich
Published: May 2024

Friedrich Gutöhrlein: Wie’s daheim war. Eine Wanderung durch die Gemeinde Unterheinriet. 1969. 228 S. 28 Abb.
Rezension von: Arnold, Klaus, Johannes Trithemius
Authors: Ulshöfer Kuno , Arnold Klaus
Published: May 2024

Klaus Arnold: Johannes Trithemius (1462-1516). (Quellen und Forschungen zur Geschichte des Bistums und Hochstifts Würzburg XXIII) 1971, 319 S., DM 35,-.
Rezension von: Festschrift der Schützengilde Schwäbisch Hall e.V. anno 1300 zur Schiessstandeinweihung
Authors: Wunder Gerd
Published: May 2024

Festschrift der Schützengilde Schwäbisch Hall... 1971. 40 S. Ill.