bluuebunny/crossref_metadata_2025 huggingface dataset:
Telemedicine as a Fixture of Healthcare Landscape
Authors: Vishwanath Ingle Pravinkumar , Yan Ying Loke , Ganesan Perishithaa A/P M. , Abdurehman Ali Farheen , Sin Hui Chow
Published: May 2024

Telemedicine involves electronic and telecommunication methods in healthcare systems. It is widely incorporated for the purpose of diagnosis, treatment, evaluation and research. There is a subtle difference between telemedicine and telehealth where the latter is not only specific to clinical settings but also non-clinical services. Telemedicine has grown rapidly due to the Covid-19 pandemic. This growth has proven to be a breakthrough for more inventions of telemedicine in future. Incorporation of telemedicine in healthcare settings have proven to be advantageous and disadvantageous and this leaves room for more improvements towards the system in future. Some advantages of health information technology include facilitating effective communication between doctors, nurses and pharmacists making coordination effective. Information is stored precisely in software making it easy to recover during routine follow-ups. By disease surveillance and monitoring, medication efficacy has also been improved. Telemedicine has been applied in radiology practises, psychiatry fields and even in the monitoring of chronic diseases. Telemedicine has risen rapidly due to pandemics and is still expected to evolve in the near future. This literature review was done using articles published between 2006 and 2022 found via search engines like PubMed, Google Scholar, SpringerLink, ClinicalKey and ScienceDirect. Other information and data relevant to our topic were obtained from websites of professional organisations. The keywords used include “telemedicine”, “advantages'', “limitations”, “applications”, “Covid-19”, “development” and “future”.
Examining the Interplay of Psychological Factors in Chronic Skin Disease: A Review on Depression, Anxiety, and Stress
Authors: Nabilah Nujhat , Salguero García Darío , Babu Kondaveeti Suresh , Batra H.S. , Viktor Patrik , Chand Jamali Mohammad , R. Wei Calvin , Rahman Bhuiyan Jamilur , Mudhafar Mustafa , Mahjoob Khalaf Othman , Syrmos Nikolaos , Roy Shpona , Murod Matyakubovich Atakhonov , Afrin Sadia , Ahemd Mahedi Md. Rezwan
Published: May 2024

The genesis of chronic skin illnesses is intricately intertwined with genetics, the environment, psychological and the immune system. However, recent studies have shown that mental health issues can exacerbate and control the severity of chronic skin disorders. Focusing on illnesses including psoriasis, atopic dermatitis, and urticaria, this article seeks to evaluate and discuss the current literature on the interplay of psychological aspects in chronic skin diseases. Here, we investigate the two-way connection between emotional discomfort (such as stress, worry, or depression) and the physiology of various skin conditions. Furthermore, we address possible mechanisms underlying the link between mental health and skin diseases, which will help the physicians to select the medicines and treatment approach.
Altering Point Results involving C-Class Functions in Partial Metric Spaces
Authors: Abdessalem Benterki
Published: May 2024

The purpose of this paper is to explore the existence of altering points satisfying the system of equations using the notion of -class functions. Here,   and   are two 0-complete partial metric spaces, and  and  are set-valued mappings. The key idea is to use the properties of  -class functions to establish the existence of a sequence of points that converge to the altering point, thereby demonstrating the existence of such points in the first place. By analyzing the properties of  and   and their interaction with -class functions, we can gain insight into the nature of the altering points and the underlying spaces. The findings of this study provide a generalization and extension of various results in the existing literature, highlighting the significance of the proposed approach.
The Impact of Volume Fraction and Nanoparticles in the Flow of Nanofluids along the Boundary Layer Over a Flat Plate
Authors: Rose Paul
Published: May 2024

Introduction: The forced convective, steady, viscous, nonlinear boundary layer flow of a two-dimensional problem over a flat plate with heat transfer nanofluids. The flow is laminar. Two different types of nanoparticles, namely, Titanium dioxide () and Silver are used to prepare nanofluids with base fluid is chosen as water. Nanofluids has a large number of applications in the area of biomedical, cooling and tribological applications.
Objectives: To study about the effect different nanoparticles and their volume fraction in the flow of nanofluids along the boundary layer over a flat plate. Analyse the changes in the viscosity, density, specific heat capacity, thermal conductivity, Prandtl number, skin friction coefficient and Nusselt number.
Methods: The flow of the fluid that are governed by the PDEs that are nonlinear are transformed into the ODEs that are nonlinear by employing similarity transformations, which then solved by the use of MATLAB bvp5c solution procedure.
Results: Both thermal conductivity and heat transfer coefficient increases with the increase in the volume fraction of the corresponding nanoparticle. Also, Silver-water nanofluid has the high thermal conductivity and heat transfer rate when compared with Titanium dioxide-water nanofluid.
Conclusions: Silver water nanofluid surpasses titanium dioxide water nanofluid in terms of thermal conductivity and heat transfer rate. Moreover, the physical attributes like viscosity, density, and thermal conductivity of nanofluids escalate proportionally with the volume fraction of nanoparticles. Conversely, specific heat capacity and Prandtl number exhibit an inverse relationship with the volume fraction of nanoparticles, decreasing as it increases.
On Soft Strongly Ƅ* - Closed Via Soft Ideal
Authors: Abdelaziz E. Radwan
Published: May 2024

In this paper, we introduce the soft strongly closed via soft ideal and study the behavior of intersection and union of this level. Also, we define the soft strongly continuous, irresolute, soft strongly open map and soft strongly closed map with some properties. Moreover, the relationship between another closed sets and soft strongly closed with counterexamples are discuss.
Balancing Interpretability and Performance: Optimizing Random Forest Algorithm Based on Point-to-Point Federated Learning
Authors: Chao Gao
Published: May 2024

Federated learning is extensively applied in collaborative data scenarios involving multiple data owners. While the majority of state-of-the-art federated learning algorithms are currently black-box models, making it challenging for users to comprehend how decisions are made. Random forest models are extensively utilized in medical contexts owing to their exceptional interpretability. However, when faced with multicenter data, the heterogeneity of data from each center often leads to its predictive performance falling short of expectations. To mitigate this challenge, the present study introduces DFLRF (Decentralized Federated Learning Random Forest), a federated learning algorithm based on random forests. Expanding on conventional random forests, DFLRF employs federated learning to disseminate decision tree models. It assesses and consolidates tree models from all client sites, thereby comprehensively addressing data disparities across various centers. The algorithm selects the optimal decision tree model based on the magnitude of model loss to guarantee the predictive performance of the final federated random forest model. The algorithm undergoes testing on a public dataset. Experimental results demonstrate that, compared to baseline algorithms, DFLRF enhances the AUC by 1.5% and the recall rate by 6%, while also ensuring superior interpretability.
Finite-Horizon, Energy-Optimal Trajectories in Unsteady Flows
Authors: Krishna Kartik
Published: May 2024

Intelligent mobile sensors, such as uninhabited aerial or underwater vehicles, are becoming prevalent in environmental sensing and monitoring applications. These active sensing platforms operate in unsteady fluid flows, including windy urban environments, hurricanes, and ocean currents. Often constrained in their actuation capabilities, the dynamics of these mobile sensors depend strongly on the background flow, making their deployment and control particularly challenging. Therefore, efficient trajectory planning with partial knowledge about the background flow is essential for teams of mobile sensors to adaptively sense and monitor their environments. In this work, we investigate the use of finite-horizon model predictive control (MPC) for the energy-efficient trajectory planning of an active mobile sensor in an unsteady fluid flow field. We uncover connections between the finite-time optimal trajectories and finite-time Lyapunov exponents (FTLE) of the background flow, confirming that energy-efficient trajectories exploit invariant coherent structures in the flow. We demonstrate our findings on the unsteady double gyre vector field, which is a canonical model for chaotic mixing in the ocean. We present an exhaustive search through critical MPC parameters including the prediction horizon, maximum sensor actuation, and relative penalty on the accumulated state error and actuation effort. We find that even relatively short prediction horizons can often yield nearly energy-optimal trajectories. These results are promising for the adaptive planning of energy-efficient trajectories for swarms of mobile sensors in distributed sensing and monitoring.
Comparative Analysis of Higher Education Financing Policies Used by OECD Member Countries and Financing Policy Proposal for Türkiye
Authors: Çetinkaya Reşit , Çavdar Ertuğrul
Published: May 2024

The Turkish higher education system has developed remarkably in parallel with the developments and changes in the world today. With the ease of access to higher education for students and the increase in the number of students, higher education costs are increasing. This situation puts the higher education system under financial pressure in countries that provide higher education financing from public sources. In this study, higher education financing methods used worldwide are compared and the most appropriate financing method for Türkiye is discussed. For this purpose, the Entropy method was used in weighting the criteria determined for the evaluation of financing policies, and the performance analysis of the alternatives was carried out with the TOPSIS method, which is one of the multi-criteria decision-making methods. Alternative decision options for financing higher education are based on "No Fee", "Pre-charging" and "Income-Contingent Loan-ICL" methods and the main criteria are enrollment, education expenditures and labor force. In this context, sub-criteria were created and the financing methods used by OECD countries were analyzed. Within the scope of the study, it has been determined that the financing methods used by Norway, the Netherlands and the United Kingdom in higher education systems are in the top three. In this context, it has been determined that the "Income-Contingent Loan" method used by the first and third ranked countries is the most preferred method in terms of performance.
Data Hiding Methods Using Voting Strategy and Mapping Table
Authors: Hengxiao Chi Hengxiao Chi , Hengxiao Chi Chin-Chen Chang , Chin-Chen Chang Chia-Chen Lin
Published: May 2024

With advancements in technology, the study of data hiding (DH) in images has become more and more important. In this paper, we introduce a novel data hiding scheme that employs a voting strategy to predict pixels based on their neighbors, then embeds data into the predicted pixels according to a designed mapping table. To extract the information, it is only necessary to use the voting strategy to predict the pixels again, then to compare the predicted and hidden pixels to extract the secret data with the assistance of the mapping table. Our experimental results demonstrate that the proposed hiding scheme has a high embedding capacity, and preserves a satisfactory visual quality. Additionally, it attains a high peak signal-to-noise ratio (PSNR) even at high embedding capacity.

 
Perception Recognition Study on Long and Narrow Arcs of Polygons in Maps using Intelligent Skeleton Decomposition
Authors: Han Zhang Han Zhang , Han Zhang Xiaoyong Chen , Xiaoyong Chen Zhihui Yi , Zhihui Yi Chao Xu
Published: May 2024

The paper presents an automated method for identifying elongated and narrow sections of polygons, which may arise due to uncertainties inherent in map data production and updates. It leverages a skeleton-based shape decomposition approach, encompassing the creation of skeletons and end-point sub-polygons based on the polygon boundary-constrained triangulation. Subsequently, it identifies a pair of break points using concave vertices of polygon boundaries based on the nearest neighbor principle. The optimal segmentation of the end-point sub-polygons is then determined by evaluating weighted base-height ratios, which are added to a set of candidates long and narrow arcs. Finally, the model selects the long and narrow arcs based on their base-height ratios and shape indexes. The paper reports the results of an experiment using land parcel data from Jinjiang in Fujian Province, demonstrating that the proposed method produces results that align with human perception and outperforms the internal and external buffering method. In summary, the innovative method exhibits promise in accurately identifying elongated and narrow sections of polygons, Its applicability spans diverse domains such as map data analysis and updates, where precision in delineating such features is crucial.

 
探討美學知覺、知覺易用性與知覺趣味性對於顧客忠誠度影響之研究－以蝦皮購物為例
Authors: 王青霞 王青霞 , 陳曉天 陳曉天
Published: May 2024

顧客忠誠度可以有效增加網站用戶數量與金流，擴大市場佔有率。但關於網路購物平台過往研究對影響顧客忠誠度之因素鮮少討論消費者對於頁面美學設計感受，因此本研究欲進一步探討美學知覺與顧客忠誠度之關係。此外，為了因應現代消費者之特性，知覺易用性與知覺趣味性即為網路購物平台成功之重要因素，因此本研究將兩者定位為中介變數。而顧客關係管理的運用可能干擾消費者的知覺易用性與忠誠程度，因此本研究將顧客關係管理視為干擾變數。

本研究透過網路問卷，針對一年內曾經於蝦皮購物購買過商品之消費者進行調查，共收集312位消費者作為研究樣本。實證結果顯示美學知覺是會透過知覺易用性與知覺趣味性正向影響顧客忠誠度和顧客關係管理會正向干擾知覺易用性與顧客忠誠度。此研究結果以提供網路購物平台業者做為重要理論與管理意涵。

 

The core benefits of online shopping platforms are traffic and conversion. Customer loyalty can effectively increase the number of website users and cash flow, and expand market share. However, previous studies on online shopping platforms seldom discussed the factors affecting customer loyalty of consumers’ perceptions of page aesthetic design. Therefore, this study intends to further explore the relationship between aesthetic perception and customer loyalty. In addition, in order to adapt to the characteristics of modern consumers, perceived ease of use and perceived interest are important factors for the success of online shopping platforms, so this study positions them as mediating variables. The use of customer relationship management may interfere with consumers’ perceived ease of use and loyalty, so this study considers customer relationship management as a disturbing variable.

In this study, questionnaires were distributed on the Internet through the questionnaire survey method, and the survey was conducted on consumers who had purchased goods from Shopee within one year, and a total of 300 consumers were collected as research samples. The empirical results show that under the influence of aesthetic perception on customer loyalty, it is found that aesthetic perception will positively affect customer loyalty and customer relationship management through perceived ease of use and perceived fun, and customer relationship management will positively interfere with perceived ease of use and customer loyalty. The results of this research take providing online shopping platform operators as an important theoretical and management implication.

 
Relação entre Mpox e HIV: impacto da imunossupressão sobre agravamento dos casos no Brasil
Authors: Krummenauer Amanda , Spinelli Matheus Funke , Graziele Josiane , Ribeiro Marcelle Araújo , Cruz Alda Maria da , Pascom Ana Roberta Pati , Almeida Silvio Luis Rodrigues de , Moraes Camile de
Published: May 2024

Introdução: Mpox é uma doença viral, declarada Emergência de Saúde Pública de Importância Internacional entre 23 de julho de 2022 e 11 de maio de 2023. Apesar de afetar qualquer indivíduo, as hospitalizações e os óbitos concentram-se na população vivendo com HIV, globalmente e no Brasil, destacando-se a necessidade de gerar informações sobre a ocorrência da doença nesse grupo para embasar ações de prevenção e controle no âmbito do Sistema Único de Saúde (SUS). Objetivo: Analisar casos confirmados de Mpox em pessoas que vivem com HIV e/ou imunossupressão, bem como o desfecho clínico. Métodos: Estudo transversal com dados secundários de casos confirmados de Mpox (reação em cadeia da polimerase positiva) entre 09 de julho de 2022 e 11 de maio de 2023 no Brasil. O desfecho analisado foi o agravamento, definido como necessidade de hospitalização. Foi utilizada como medida de associação razão de prevalência (RP) empregando teste Exato de Fisher, intervalo de confiança de 95% (IC95%). Resultados: Foram confirmados 10.393 casos de Mpox, dos quais 63,5% (n=6.597) continham informações completas sobre status de HIV, imunossupressão e hospitalização, e foram considerados para as análises. Declararam viver com HIV 44,6% dos casos (n=2.941), dos quais 84,6% (n=2.489) também informaram imunossupressão. Nas análises, observou-se para esse grupo RP para agravamento de 1,47 vez (IC95% 1,21–1,79) a prevalência em casos que não vivem com HIV e imunossupressão. Para indivíduos vivendo com HIV que negaram imunossupressão (n=452), não foi encontrada significância estatística, com RP de 1,03 vez (IC95% 0,70–1,50) a observada para os demais. Apenas 66 pessoas que não vivem com HIV declararam imunossupressão. Conclusão: Embora observada alta prevalência de casos em indivíduos que vivem com HIV, o risco de agravamento neste grupo parece ser influenciado pela imunossupressão. A adesão e a continuidade da terapia antirretroviral ofertada pelo Sistema Único de Saúde (SUS) são imprescindíveis para a redução de agravamento dos casos. Diante disso, destaca-se a necessidade de fortalecer ações de prevenção transversais entre HIV/AIDS e Mpox, promovendo um cuidado abrangente.
El sector bancario del área del euro ante los requerimientos MREL: ¿un reto para los bancos medianos?
Authors: Ibáñez Lucía , Kruse Miguel , Pollos María , Serena José María , Tarí Miquel
Published: May 2024

El establecimiento regulatorio de los requerimientos Minimum Requirement of Own Funds
and Elegible Liabilities (MREL) ha implicado una mayor necesidad de emisión de instrumentos
de deuda para los bancos del área del euro, incluyendo algunos que, por su menor tamaño,
no tenían experiencia previa en estos mercados. A cierre de octubre de 2023, el grueso de las
emisiones sigue dominado por emisores de gran tamaño, pero se ha registrado un incremento
en el número de emisiones de entidades de tamaño mediano. Estos bancos pueden alcanzar
un coste de emisión inferior al de los bancos grandes, mediante colocaciones con un menor
grado de subordinación de sus bonos, un plazo más corto de emisión, y la exhibición de unas
buenas ratios financieras. Sin embargo, persisten ciertos retos de cara al futuro, como sus
peores calificaciones crediticias, así como la incertidumbre sobre la capacidad del mercado
de absorber una mayor escala de emisiones de estas entidades.
Efl Learner's Perception on the Use of Mentimeter Platform in Enhancing Speaking Skills in Pohuwato
Authors: Samad Partiwi
Published: May 2024

The education sector in particular of technology learning brings benefits in a number of ways. An up-to-date learning has become the norm for teaching and learning in digital era. Both teachers and students are given a challenge to fully support the success of the integrated learning. When presenting educational resources to their students, teachers need to employ a greater degree of innovation meanwhile students are urged to engage in frequent study on their own as independent and effective learners. Therefore, the purpose of this study is to ascertain the EFL learner’s perception on the use of Mentimeter platform and to figure out the advantages of using Mentimeter Platform in enhancing speaking skills performance. The qualitative descriptive approach has been chosen as the method of this study. The data were obtained from interview and questionnaire. The findings showed that there were some perceptions about using Mentimeter Platform in enhancing the EFL learners’ speaking skills. Mostly students in definitely thought that the implementation of Mentimeter platform could enhance their speaking competence and surprisingly it also greatly benefited to their advance speaking and translating abilities.
Geographical indication: a review
Authors: Matos Cleriston Carlos De Matos , Santos Robson Roberto Souto Santos , Canuto Ana Carla Barbosa , Ramos Tiago de Melo , Bortoli Robélius De
Published: May 2024

Geographical Indication (GI) is an industrial property instrument that seeks to distinguish the geographic origin of a certain product or service. The challenge is associated with identifying how the Geographical Indication seal could be a useful tool to leverage local and regional development. The objective of this study is to review the international literature on the topic of Geographical Indication, especially for wine production. The SCOPUS database was used as a search engine. The expression “geographical indication” was used as a search key in the title, keywords or summary fields, resulting in 2224 publications. Publications were analyzed without filter. It was noticed that “Protection” has a negative inclination, that is, it is being left aside as a research interest. The words associated with Wine, Food and Sustainability showed a positive slope in the linear regression, which suggests that they are causing increasing interest among researchers.
PENGGUNAAN MODEL PEMBELAJARAN MOMBI PADA MATERI ALAT OPTIK DI SMP KATOLIK HATI KUDUS KEROIT
Authors: Nelwan Yulio Nelson , Umboh Sixtus Iwan , Mongan Satyano
Published: May 2024

Learning strategies by utilizing appropriate learning models will affect student learning outcomes. Many new learning models that can be accessed in various sources are alternatives to choose from in improving student learning outcomes. This study aims to determine the use of the Mombi model in teaching convex lens material in junior high school. This research is a pre-experimental study with a one group pretest-posttest design. The research subjects were students of class VIII at Hati Kudus Keroit Catholic Middle School, South Minahasa in the 2022/2023 academic year. Data collection uses tests with test instruments in the form of essays and science process skills. The results of the study concluded that the average pretest result was 24.05 and the posttest result was 83.33. The average results of the science process skills assessment are in very good criteria (80% -100%). The results of the t test show that the hypothesis is accepted which states that the use of the Mombi model has an effect on increasing student learning outcomes
Does the Government’s Regulations in Land Ownership Empower the Protection of Human Rights?
Authors: Hariyanto Hariyanto , Azizah Mabarroh , Nurhidayatuloh Nurhidayatuloh
Published: May 2024

Protection of land ownership has been regulated in various policies to protect human rights. However, it is essential to comprehensively examine the government's role in protecting land ownership because there are still various land conflicts. This research analyzes the government's role in protecting land ownership based on human rights principles and compares it with the Netherlands. This research uses a normative legal approach, using laws and cases and comparing policies with the policies of other countries. The research results show first, the Indonesian government guarantees the protection of land ownership through basic regulations on agrarian principles and the Indonesian government is trying to protect land ownership by registering land, limiting foreign land ownership, and developing governance plans at the regional level. Second, the Dutch government protects land ownership through a systematic, transparent land registration system implemented effectively to provide legal certainty for owners, investors, and related parties. Thirdly, Indonesia's regulatory approach adheres to the  basic regulations on agrarian principles  system, and the Netherlands uses civil law. However, both countries experience the same problems, such as land ownership disputes and scarcity. Therefore, the government needs to implement human rights-based policies through a transparent and fast land ownership process and public consultation in resolving land disputes.
Digitalization of Legal Transformation on Judicial Review in the Constitutional Court
Authors: Setiawan Heru , Ketut Rachmi Handayani I Gusti Ayu , Hamzah M. Guntur , Tegnan Hilaire
Published: May 2024

Efficient, affordable, and uncomplicated justice poses a complex dilemma within the Indonesian judicial system. However, applying technological advancements to assessing legal regulations can resolve this issue. This research aims to examine the necessity and implementation of digitalization in the Constitutional Court's judicial review process. This research utilized a normative legal approach, characterized by its prescriptive and applied nature, to examine the development and implementation of digitalization in the justice systems of the European Union, the United States, and the United Kingdom through comparative studies. The research results show that: first, technology in the Constitutional Court's judicial review process can most effectively promote openness and clarity in the decision-making procedure. However, there remain several areas in which the Constitutional Court must further refine itself to attain digital status, as inconsistencies persist in its practical rulings. Consequently, the Constitutional Court must increase the rate of digital transformation in its judicial review operations. Second, numerous other nations, including the European Union, the United Kingdom, and the United States, have observed the implementation of technological advancements, leading to enhanced transparency and accessibility in their justice systems. Thirdly, to overcome the challenges above, we must apply the fundamental principles of good judicial governance, procedural law at the Constitutional Court, the paperless principle, and the contactless service principle when developing digital transformation for future judicial review at the Court. This will enable us to achieve transparency and accessibility in the Constitutional Court's judicial system.
PENERAPAN PERSONAL PROTECTIVE EQUIPMENT PADA SAAT LIFTING DI PLATFORM UNTUK MEMINIMALISIR KECELAKAAN KERJA DI KAPAL SV. FIONA 38
Authors: Badri Al-Farabie Brian Amanta , Wahyuni Anak Agung Istri Sri , Susanto Novrico , Fatimah Siti
Published: May 2024

Untuk melindungi keselamatan awak kapal, mereka harus selalu menggunakan alat pelindung diri. Personal Protective Equipment (PPE) adalah peralatan yang dirancang untuk melindungi individu dari risiko di tempat kerja. Penelitian ini bertujuan untuk mengetahui penerapan PPE dalam proses Lifting di Platform, serta faktor penyebab ketidakdilaksanaan PPE di atas kapal SV. Fiona 38. Metode yang digunakan dalam penelitian ini adalah metode deskriptif kualitatif dimana data didapat dari hasil analisis peneliti selama melaksanakan praktik laut diatas kapal, adapun teknik pengolahan data peneliti menggunakan metode Root Cause Analysis yang akan menganalisa risiko bahaya yang dapat terjadi pada saat tidak melaksanakan penerapan personal protective equipment pada saat diatas kapal. Hasil penelitian ini mengindikasikan bahwa upaya penerapan Personal Protective Equipment untuk mencegah kecelakaan telah dilakukan, namun belum mencapai tingkat optimal. Terdapat beberapa faktor yang berkontribusi terhadap kurangnya optimalitas penerapan ini, termasuk kurangnya pemahaman akibat kesalahan manusia serta pengaruh faktor alam seperti kondisi cuaca buruk. Sebagai hasilnya, tingkat keselamatan di kapal SV Fiona 38 belum sepenuhnya tercapai secara optimal.
sEMG biceps and triceps effort signals classification using 1D-CNN convolution
Authors: Kebir Sofiane Tchoketch , Berrhail Fouaz
Published: May 2024

In this paper, we present a system for acquiring and classifying surface physiological muscles signals (sEMG) for the biceps and triceps muscles during movement or work, as normal or aggressive effort in order to control and command the aid prostheses to intervene only during aggressive efforts. Thus, the main objective of our work is to developing and improving the performance of the hand prostheses for daily life tasks for elderly persons or for persons who have hand muscle failure. Our contribution consists of detecting and classifying physiological signals of biceps and triceps muscles hand as normal and aggressive efforts, for that we proposed a technique based on a 1D Convolutional Neural Network (CNN-1D) using the Wavelet Scattering Transform as the sEMG feature extraction technique. Our methodology is carried out in two steps: the first step is crucial to build a database for deep learning network for sEMG signals classification based on fifty-five volunteers spanning various ages and genders. The second step achieves the sEMG signals effort classification as normal or aggressive efforts based on the classification network produced based on sEMG signal sequences treated by the WST. The obtained results for the training and validation sets indicate perfect performance of the proposed technique, with an accuracy, precision, sensitivity, and specificity of 100% for the training process, and 99.3%, 98.6%, 100% and 98.7% for the accuracy, precision, sensibility and specificity respectively. It is important to note that while perfect metrics on the training and the test set might suggest excellent model learning.
A prática pedagógica no ensino superior: reflexões de professores bachareis em administração sobre a profissionalidade e os saberes docentes
Authors: Bezerra Elaine Pontes , Baraúna Silvana Malusá , Santos Darlene Silva dos , Olivindo Celina Maria de Souza , Melo Auristela do Nascimento , Silva Kelsen Arcângelo Ferreira e , Teixeira Cristiana Barra , Farias Josélia Maria da Silva
Published: May 2024

Este estudo versa sobre a profissionalidade e saberes docentes na prática pedagógica de professores bachareis em admnistração, sob o questionamento: quais são as reflexões de professores bachareis ema dmnistração sobre a profissionalidade e os saberes docentes em suas práticas pedagógicas?  A sua realização deu-se em função do objetivo de refletir sobre a importância atribuída pelos docentes administradores à sua prática pedagógica no Ensino Superior, considerando a profissionalidade e os saberes docentes. Nesse viés, consideramos que os docentes administradores compreendem a importância das categorias profissionalidade e saberes docentes para a sua profissão, sendo capazes de realizar  uma prática pedagógica condizente com essas categorias. Trata-se de uma pesquisa exploratória, descritiva tipo survey, com abordagens quantitativas e qualitativas. O instrumento de pesquisa utilizado foi um questionário estruturado, desenvolvido na plataforma Google Docs, com questões fechadas dispostas em escala Likert de cinco pontos e outras abertas. Para a análise dos dados quantitativos utilizou-se a estatística descritiva e dos dados qualitativos foi a análise de conteúdo de Bardin. Obteve-se a participação de 51 professores dos cursos de administração das universidades públicas do estado do Piauí. Os resultados permitiram inferir que os docentes de administração consideram muito importante os aspectos da profissionalidade e saberes docentes de sua prática pedagógica, havendo destaque para o fato dos mesmos reconhecerem que há especificidades para a profissionalidade docente, além disso, os partícipes assumem que o contexto de trabalho  afeta a sua profissionalidade, preocupam-se com a formação profissional do aluno e admitiem a necessidade de saberem transformar as informações em conhecimento na vivência  cotidiana.
Integrated Diagnosis, Treatment and Prognosis in Healthcare using Artificial Intelligence
Authors:   B.Tech, Department of Computer Science and Medical Engineering, Sri Ramachandra Faculty of Engineering andTechnology, Sri Ramachandra Institute of Higher Education and Research(DU), Chennai (Tamil Nadu), India., Srikannan Devaharish
Published: May 2024

Artificial Intelligence (AI) has revolutionized healthcare by integrating treatment, diagnosis, and prognosis into a cohesive and patient-centric approach. This study examines how utilising AI technology in healthcare might improve patient management and have a transformational impact. Huge volumes of patient data, including as genetic data, medical records, and treatment outcomes are analysed by AI algorithms, allowing for the creation of individualised treatment regimens based on precise prognostic assessments and diagnoses. Utilising AI-driven decision-making promotes proactive and preventative actions, improving healthcare outcomes. To ensure ethical AI adoption, however, concerns about data privacy, algorithmic bias, and ethical issues must be addressed. In order to demonstrate how AI-driven therapy approaches are successful, case examples are reviewed in this article, demonstrating how they might potentially enhance patient care. As AI develops, its seamless integration with healthcare systems has enormous promise for revolutionising medical practise. It will usher in a new era of accurate, effective, and data-driven patient management, which will ultimately be advantageous to both patients and healthcare professionals.its capacity to enhance patient care.
Comparison of Signal to Noise Ratio of Colored and Gray Scale Image in Clustered Condition from the Contours of the Images with the Help of Different Image Filtering Method
Authors:   Department of Computer Science, Project Work  Team Fellow, University of Coimbra., Chakraborty Abir
Published: May 2024

As we know the image can be processed with the help of different types of coding for example mat-lab. Here in this paper we are primarily focusing on some common filtering methodologies [5]related to image contour in clustered conditions. For filtering purpose in this paper we have used three different filtering technologies such as prewitt [3], sobel [3], canny [3] filtering. But on the other hand we have used both colored [1] and non-colored [3] images for clustering operations. Our main aim in this paper to show variations of signal to noise ratios for the colored and non-colored contour images with and without filtering. As per my request study the discussion of results very carefully to realize the deeper meaning of the journal [4].
DRUG-DRUG INTERACTIONS IN PSYCHIATRIC PATIENTS: IDENTIFYING HIGH-RISK COMBINATIONS AND MITIGATION STRATEGIES
Authors: SHAMSHAD H , SHAMSHAD S
Published: May 2024

Psychiatric patients are at a high risk of severe adverse drug events (ADEs) due to potential drug-drug interactions (DDIs). These interactions can worsen existing health conditions and complicate treatment outcomes. Objective: This study aimed to identify and evaluate the drug-drug interactions (DDIs) of psychoactive drugs among mental health patients and propose effective prevention measures. A retrospective study was conducted at the Department of Pharmacy, Lady Reading Hospital, Peshawar, from January 1, 2021, to July 31, 2021. The study included all psychiatric patients treated during this period. Medication records were re-examined to identify drug-drug interactions (DDIs) using reliable drug interaction databases. Adverse effects resulting from these interactions were documented. Statistical analysis assessed the frequency and severity of the identified DDIs. Mitigation strategies were developed based on the probability and clinical relevance of the interactions. These strategies included drug adjustments, regular monitoring of patients, and patient education aimed at reducing the risk of adverse effects. The major DDIs frequently occur with commonly used psychiatric medications such as antipsychotics, antidepressants, and mood stabilisers. Common adverse effects included sedation, cardiovascular complications, and increased risk of serotonin syndrome. Mitigation measures, such as drug adjustment, regular monitoring, and patient education, were suggested to reduce the risk of adverse effects. Psychiatric patients are predisposed to severe ADEs due to DDIs, which are often difficult to predict. Mitigation measures such as appropriate drug adjustments and patient education are essential to enhance patient safety and treatment outcomes.
PENGARUH PERENCANAAN PAJAK,BEBAN PAJAK TANGGUHAN,DAN KUALITAS LABA TERHADAP NILAI PERUSAHAAN
Authors: Apriia Harahap Syavira , Rima Prasetya Eka
Published: May 2024

Penelitian ini bertujuan untuk membuktikan secara empiris mengenai Pengaruh Perencanaan Pajak, Beban Pajak Tangguhan, Kualitas Laba terhadap Nilai Perusahaan. Dalam penelitian ini variabel independen yang digunakan adalah Perencanaan Pajak, Beban Pajak Tangguhan dan Kualitas Laba, sedangkan untuk variabel dependen yang digunakan yaitu Nilai Perusahaan. Penelitian ini dilakukan dengan mengambil sampel perusahaan Sektor property & real estate yang terdaftar di Bursa Efek Indonesia (BEI) tahun 2016-202. Jenis data yang digunakan dalam penelitian ini adalah data kuantitatif dan data sekunder yang berupa laporan tahunan yang sudah diaudit dan diterbitkan di Bursa Efek Indonesia (BEI) dari tahun 2016-2021. Sampel yang dikumpulkan dengan metode purposive sampling dengan jumlah perusahaan yang dijadikan sampel sebanyak 15 perusahaan dengan periode penelitian selama 5 tahun, sehingga memperoleh sebanyak 75 sampel perusahaan. Pengolahan data dengan menggunakan Program Micrososft Office dan Program Statistik Eviews 9 dengan menganalisis statistik deskriptif, uji model regresi data panel, uji asumsi klasik, koefisien deteminasi, analisis regresi data panel, uji statistik T dan uji statistik F. Hasil uji statistik T menunjukan bahwa variabel Kualitas Laba berpengaruh signifikan terhadap Nilai Perusahaan, sedangkan Perencanaan Pajak dan Beban Pajak Tangguhan tidak berpengaruh terhadap Nilai Perusahaan. Hasil uji F menunjukan bahwa Perencanaan Pajak, beban Pajak Tangguhan dan Kualitas Laba berpengaruh secara simultan terhadap Nilai Perusahaan.
Incarnating Grace
Authors: Feder Julia , Freitas Donna
Published: May 2024

The Christian tradition has failed survivors of sexual violence who have received the message that traumatic suffering is a vehicle for God’s saving grace. Grace is God’s gift of self to us which saves and restores us. This grace never comes to us in and through violence. Incarnating Grace attempts to save our broken ways of talking about God’s grace—discarding that which fosters violence and unearthing some of the liberating resources buried in the Christian tradition. Drawing on the sixteenth-century Spanish mystic Teresa of Avila in dialogue with contemporary political and feminist theologians, philosophers, and legal scholars, Feder offers an account of Christian salvation as mystical-political healing that is both incarnational and eschatological. Incarnating Grace makes clear that God does not want human beings to suffer from sexual violence. Instead, God’s grace comes to us in mystical and political practices of posttraumatic healing, animated by God’s gifts of courage and hope. Christian ideas about salvation have historically contributed to sexual violence in our communities, particularly to the extent that Christians have insisted by human suffering is salvific. But, the Christian tradition is also capable of fostering resistance to sexual violence and supporting posttraumatic healing, particularly in its reflections on suffering and embodiment. Salvation is God’s ongoing and comprehensive restoration of bodies—materially, socially, politically, and spiritually.
Conclusion: Lost Modernities
Authors: Gonzaga Elmo
Published: May 2024

The conclusion summarizes the book’s key concepts about shifting postcolonial media cultures in commercial and leisure spaces. It examines how vernacular modernity assumes three divergent, overlapping forms of air-conditioned, sanitary modernity, languid modernity, and delinquent, fugitive modernity in Manila and Singapore across the 1930s, 1960s, and 2000s. It highlights how commercial, administrative, technological, and infrastructural innovations signify contingencies, tensions, and ruptures in regimes of political sovereignty, economic production, and social practice. It explores changes to capitalism, modernity, consumerism, and spectatorship before and during the Covid-19 pandemic by focusing on the retail transformation of formerly popular sites into the Escolta Block Festival and Great World City Shopping Centre.
What Was Antislavery For?
Authors: Krohn Raymond James
Published: May 2024

This chapter opens with a discussion of the 1870 disbandment of the American Anti-Slavery Society, thereby bookending the introductory section’s consideration of how the AASS dissolution issue had emerged and intensified during the Civil War. After summarizing key findings from each of the previous chapters, it additionally focuses on such late-in-life chroniclers and commemorators of abolitionism as Elizabeth Buffum Chace (Anti-Slavery Reminiscences, 1891); Lucy N. Colman (Reminiscences, 1891); Sarah H. Southwick (Reminiscences of Early Anti-Slavery Days, 1893); and Laura Smith Haviland (A Woman’s Life-Work, 1881/1897). Rather than contesting a post-1876 trajectory whereby white abolitionist men increasingly distanced themselves from an ongoing African American freedom struggle, the quartet of white antislavery women featuring in the finale composed memorial and historical literature that further corroborates the study’s overarching theme of atrophy and demise. This chapter, then, reveals that Chace’s pursuit of women’s rights, Colman’s passion for freethought, and Haviland’s commitment to anti-alcohol marked the displacement of equal Black rights from the minds of veteran white abolitionists who remained robust reformers during their twilight years.
Ishmael’s Daydream: A Conclusion
Authors: Sherman William E. B.
Published: May 2024

This short concluding chapter considers yet another story of Bayazid Ansari from the eighteenth century that plots him in a Turkic family’s lineage of scholars. They were largely affiliated with Suhrawardi Sufism and migrated to South Asia generations before Bayazid. This final story of Bayazid exemplifies many of the processes of Afghan history explored in this book: namely, the shift from messianic logics and revelatory experimentation to a logic of family, descent, and ethnicity. Finally, this book reflects upon the entanglement of American imaginations of Afghanistan and Afghan history.
Solutions of Navier Stokes equation and application on aerodynamics
Authors: Chen Zeyi
Published: May 2024

The Navier-Stocks equation (NSE) was derived based on Newtons second law and Eulers equation with the viscosity effect. The continuity of mass, conservation of momentum and energy contribute to the motion of fluid. This paper discusses the hypothesis and theories of the solution of the 3D NSE corresponding to the boundary and initial conditions from previous research. Meanwhile, this paper focuses on the study of solutions and turbulence models of NSE contributed to the applications of aerodynamics. Machine Learning and Neural Networks are applied to the solution of the NSE to improve the accuracy of prediction of fluid motion. Aerodynamics applications on airfoil, turbulence model, design of propeller and ejection seats are discussed with analysis of solutions of Navier-Stocks equation. With the contribution of Machine learning, accurate and global solutions are expected to be computed for the NSE in the future.
Design of assessment algorithm and model for Chinese spoken language teaching based on natural language processing and knowledge graph
Authors: Ma Xinyue , Hu Yandong , Li Min
Published: May 2024

The background of the research field on the design of assessment algorithms and models for Chinese spoken language teaching based on natural language processing and knowledge graph mainly involves two aspects: one is the growing global demand for learning Chinese, and the other is the potential application of advanced computing technology in language learning. The significance of this research lies in providing a more scientific and systematic assessment method for Chinese teaching through this system, and, on a macro level, paving the way for the future development of language learning technologies. Through this study, not only can teachers better guide students learning, but students can also receive more effective learning feedback and guidance. Experimental data shows that the accuracy rate of the Chinese spoken language teaching assessment algorithm system based on natural language processing and knowledge graph is 98.05%, and the satisfaction rate for personalized teaching evaluation reaches 98.12%. In summary, this research provides new methods and approaches for the personalization and technologization of Chinese spoken language teaching, thus having a profound impact on the field of language education.
Economic diplomacy: Analyzing theories and models for informed policy
Authors: Gao Jianing , Ye Xuan
Published: May 2024

This paper examines the intricate relationship between economic theories, trade policies, and diplomatic engagements in the context of international relations. Utilizing theoretical frameworks such as the theory of comparative advantage and the Heckscher-Ohlin model, we analyze the foundational principles guiding global trade and policy-making. We explore the role of probabilistic models, including Bayesian statistics and regression analysis, in forecasting economic trends and their implications for international relations. Furthermore, we investigate the impact of trade policies, including tariffs, non-tariff barriers, and global trade agreements, on economic dynamics and diplomatic interactions. Through case studies of economic sanctions, we assess the effectiveness of sanctions as a diplomatic tool and propose policy recommendations for their optimal implementation. Our analysis highlights the complexity of economic diplomacy and underscores the importance of quantitative analysis in informing policy decisions and fostering international cooperation.
Pricing strategy for cross-market two-sided platforms based on joint membership system
Authors: Lin Guihua , Ren Ruiyang
Published: May 2024

Taking the joint membership system carried out by two cross-market bilateral platforms as the background, this paper studies how to achieve the optimal cooperation between two cross-market platforms, and analyzes the various influences brought by platform differences. Considering two cross-market two-sided platforms with differences basic services, we establish a horizontal cooperation model for cross-market bilateral platforms based on the joint membership system. Taking cross-network externalities as the starting point of the research, we compare and analyze the platform strategies under decentralized decision making and joint centralized decision making to obtain the benchmark for joint membership cooperation. Finally, we propose a two-part pricing mechanism that can make joint membership cooperation achieve the best, and analyze the impact of basic service differences on platform pricing, user participation, platform profits and coordination mechanism.