bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN KURIKULUM MERDEKA DALAM UPAYA MENGATASI LEARNING LOSS MENUJU PENDIDIKAN YANG BERKOMPETENSI UNGGUL
Authors:   SMA Panjura Malang, Usamah Tin Nur
Published: January 2024

The purpose of this research is limited face-to-face learning (PTMT) to optimize activities and learning outcomes at SMA Panjura Malang and can overcome learning loss or decrease learning achievement, and can create superior competencies and independent learning. Applications carried out in limited Face-to-face Learning (PTMT) at SMA Panjura Malang: Strategies and Efforts to Approach Students' Psychological, or Mental Readiness (Diagnostic Analysis) before conducting PTMT, Habits Strategy to introduce school environment or school habitat (scholl habitat) with restoration of education to PTMT, Strategy for Providing complete facilities and infrastructure for PTM Implementation, PTMT Implementation Process Strategy in Learning, Covid-19 Prevention and Control Strategy, Covid Alert Bag Strategy, Strategies and Efforts to Possess PTS and PAS exams, Strategy for Reporting PTMT learning outcomes periodically with report cards Monthly, Friendly and Disciplined Environmental Culture Strategy, Well-being, Learning Strategy with Hybrid Learning
Desarrollo urbano, perspectivas, encrucijadas y retos frente al diseño
Authors: Chica Mejía Juan Eduardo
Published: January 2024

A finales de 2022, en Bogotá y Cartagena de Indias, Colombia, se llevó a cabo el 14.º Congreso Internacional Ciudad y Territorio Virtual (14CTV), organizado conjuntamente por la Universidad de Bogotá Jorge Tadeo Lozano y la Universitat Politècnica de Catalunya. Bajo el lema Repensar el desarrollo contemporáneo de las ciudades, el 14CTVbuscó problematizar las transformaciones que dejó la pandemia del covid-19 en términos de la funcionalidad y las dinámicas de desarrollo urbano.
Intellectual Capital Efficiency and Performance of Banks in India
Authors: G. Bharathi Kamath
Published: January 2024

The aim of this paper is to examine the impact of intellectual capital efficiency on the performance of commercial banks in India for twotime periods, viz. 2018-19 and 2020-21 representing the pre and post-merger periods. The IC efficiency (ICE) of the banks is measuredusing the standard Human Capital Efficiency (HCE), Structural Capital Efficiency (SCE). The performance is measured in terms ofReturn on Assets (ROA), Return on Equity (ROE), Net Interest Margin (NIM), and Return on Investments (ROI). The results show thatsub-components of IC have impacted the performance of banks variedly, but not consistently. The ICE of private sector banks hasincreased over the period of study. The impact of merger on the ICE performance of the individual public sector banks has been mixed,though on the average, there is no immediate statistically significant impact of the mergers on the ICE performance of all the public sectorbanks in India.Key words: Intellectual Capital Performance, Human Capital, Banking, Productivity, Profitability, Mergers
Indian Post Payment Bank: Financial inclusion revolution in India
Authors: Srajan Kumar Singh, Nagendra Yadav
Published: January 2024

The Indian financial system has seen several significant changes since 1991. The banking industry is one of the few that has thrived sinceliberalization, and its success is unquestionably tied to the considerable financial reforms adopted by RBI and the significanttechnological improvements that have occurred over the years. In 2014, the Reserve Bank of India (RBI) broadened the variety of banksoperating inside the Indian financial sector. Payment banks and tiny banks are two names for these modern financial institutions. Themajor objective in creating these banks is to increase financial inclusion in underserved rural communities by increasing access tobanking goods and services. The unbanked and underbanked populations may be able to get access to financial services via paymentbanks, a new kind of financial institution. Expanding the availability of financial services is a top priority for them. In this paper, wediscuss the payment banking infrastructure and the benefits that are expected to accrue from it. The Post Payment Banks of Indianfinancial system will be a great first step in providing access to banking services for underserved populations, especially those who aretransient or from low-income families. Is the Indian Post Payment Bank the second phase of financial inclusion following the PradhanMantri Jan Dhan Yojana?This research aims to fill in some of the gaps in our understanding of payment banks by providing a high-leveloverview of their functioning processes and demonstrating how the idea of payment banks accomplishes two goals at once. All of theinformation in this study comes from secondary sources. As a starting step toward its financial inclusion strategy, it is increasing its digitalpayment infrastructure. The second positive effect is that it promotes a more tech-savvy mindset in the Indian banking industry. Theseresults show promise for increasing financial inclusion and access throughout India, especially in rural areas and with a focus on lowincomepeople and small businesses.Key words: Payment Banks, Financial system, Financial Inclusion, Post Payment Banks,
Competition, Consolidation and Convergence in the Indian Banking Industry- A path to $5 trillion economy
Authors: Anukriti Agrawal  , K.K. Agarwal
Published: January 2024

Banking is the backbone of any economy as it has a direct bearing on financial and economic development. India is currently $3.469trillion economy. To achieve the target of a $5 trillion economy, policy changes for India must include reforms in the banking sector. Inthe banking industry, competition is crucial for maximizing efficiency. The banking sector is going through unprecedented consolidationefforts through mergers and acquisitions. Financial inclusion is aided by consolidation. This gives banks greater resources with which tolend money make investments and expand their geographical reach. The financial sector's convergence is expanding quite quickly.Financial convergence aids banks in portfolio diversification. Financial Convergence relates to all types of interfaces between financialsuppliers and the demand for all types of financial products and services. In this paper, we have specifically discussed the convergencebetween the banking sector and the insurance sector. This paper highlights various approaches to assessing competition, models ofbancassurance, benefits, and challenges of bancassurance for banks, and the expected value of the bancassurance market by 2027. This paperhas analyzed the changes in various financial ratios like Gross Non-Performing Assets (GNPA), Net Non-Performing Assets (NNPA),Common Equity Tier- 1(CET-1) etc. of Union Bank of India after merger. This paper aims to study how a more competitive,consolidated, and convergent banking industry would contribute to making India a $5 trillion economy.
Transformative Data Management Technique: Redefining Artificial Intelligence (AI)
Authors: Abhishek Srivastava
Published: January 2024

This abstract provides an overview of the evolving landscape of data management, driven by the transformative influence of artificialintelligence (AI). This exploration delves into how AI technologies are reshaping every facet of data management, from collection toanalysis, offering unprecedented efficiencies and insights. In the age of massive data proliferation, effective data management has becomea cornerstone of organizational success. AI algorithms are revolutionizing data integration by automating the harmonization of diversedata sources, transcending the limitations of structured and unstructured data. Through advanced techniques such as natural languageprocessing, AI enables comprehensive data extraction from text, images, and audio, broadening the scope of information captured. Insummary, the amalgamation of AI and data management yields a paradigm shift. From harnessing unstructured data to elevating securitymeasures, AI redefines the data landscape. Through automation, predictive capabilities, and adaptive learning, AI-driven datamanagement propels organizations towards more efficient and informed strategies. This abstract encapsulates the profoundtransformation of data management facilitated by AI, urging organizations to grasp the vast potential of this synergy for informed,strategic decision-making in a data-centric world.Keywords: Data Management, AI Algorithms, Big Data and AI, Data Collection & Quality
Futuristic HRM and the Implications of Integration with Industry 5.0 for Sustainable Business
Authors: Ananta Narayana Utkarsh Kumar Verma
Published: January 2024

The concept of non-replicable managerial processes enables acknowledging the subjectivity of HRM as one aspect to enhanceorganizational performance. The current study explores various elements that could support long-term success. In particular, the studyfinds two critical factors for strengthening an organization's performance as a human-centric organization and an organizational culturedetermined by knowledge management. Beyond the rationalistic view of human resources as mechanistic raw materials, the reflectionspresented here provide the first applicable knowledge about the factors to act and reflect on sustaining business. This study investigateshow an organization’s participation in diversity, inclusion, and people empowerment policies affects organizational performance tofacilitate businesses' evolution into the Industry 5.0 paradigm. A conceptual model is put forth to explain effective organizationalperformance by integrating H.R. management and Knowledge Management has driven corporate culture. The study then elaborates onhuman resources, knowledge management, and organizational performance as the crucial components to navigating the culturaltransformation in the Industry 5.0 scenario. Therefore, organizations should adopt a corporate culture emphasizing sustainability to gain acompetitive advantage. Limitations of the study may be interpreted as potential avenues for future research agendas.Keywords: Human Resource Management, Knowledge Management, Industry 5.0, Sustainability
A Conceptual Study on the Role of Different Stakeholders of Gig Economy in Enhancing the Delighters and Neutralizing the Worries for the Gig Workers
Authors: Jaishree
Published: January 2024

temporary services from workers that will enable them to avail the services of workers as employees but without providing them thebenefits of employees. Gig work as it exists today in India is highly attractive on various dimensions such as flexible working hours, costeffectiveness,etc. but there exist several worries as well like social security, health insurance, etc. With high numbers of delighters andseveral pain points the workers are taking up gig work out of choice or necessity are different aspects of the study. It is, therefore, crucial tonot only identify which 'delighters' to double down on, but also identify which pain points can be addressed to drive participation andenhance the pull factor of the gig economy. The paper relies on secondary data such as research papers, articles, and books on the gigeconomy for analysis, inference, and conclusion. The paper aims to understand, and identify the situations and constraints of the gigworker and bring them to the fore for the solutions to channel the benefits of the gig economy to the workers with the help of the differentstakeholders.Keywords: Gig economy, Gig workers, Delighters, Worries, Social security, Stakeholders
Recent Trends in Talent Acquistions, Production Sectors at Coimbatore Area Based on Jack Welch’s Leadership Approach
Authors: R. Padma Priya, K. Prabhakar Rajkumar
Published: January 2024

In India, the talented employees never had the premium, which they enjoy today. This has resulted in organizations looking at newer waysto attract employees and once a recruit walks its portal, it starts focusing on building loyalty. This whole portfolio of how to attract, deployand retain employees is now called as “Talent Management”. This study attempts to investigate the effect of leadership styles practiced inan organization on employee performance. Managers will struggle as leaders if they don’t have enough experience, making managementdecisions, supervising staff and have poor administration in handling human resources. In this study, using latent variable Confirmatory,Factor Analysis Modelling, the effect of Jack Welch’s leadership approach on employee performance is analyzed..Keywords: Jack Welch’s Leadership Approach, Talent Management, Employee Performance.
Creación de narrativas digitales sobre los peligros y amenazas en red usando herramientas de inteligencia artificial
Authors: Pucha Vinueza Christian Santiago
Published: January 2024

En un entorno donde miles de nuevos usuarios se suman diariamente a internet, el Ciberbullyng, el sexting, el vamping, se presentan como amenazas que acechan en el mundo digital a estos nuevos integrantes de la red. La creación de narrativas digitales se vuelve esencial para educar a la sociedad sobre el uso concientizado de la tecnología. Las herramientas de inteligencia artificial (IA) son esenciales para la creación de narrativas digitales, facilitando la estructuración de guiones, la generación de imágenes y videos a medida de la solicitud procesada por el usuario creador, así como permite recopilar y analizar información concreta sobre las amenazas existentes en la red. Esto posibilita adaptar narrativas más precisas a las necesidades del espectador. El objetivo de esta investigación es explorar diversas herramientas de IA su uso en la creación de narrativas digitales, comparándolas con herramientas web 2.0 en indicadores como facilidad de uso, tiempo de desarrollo y producción del material, generación de ideas innovadoras con el material producido y la efectividad en el diseño de recursos gráficos y multimedia. Este trabajo implica a un grupo de 10 estudiantes del Instituto Tecnológico Superarse de la carrera de asistencia pedagógica, las cuales realizaron dentro del examen complexivo de la asignatura educomunicación y TICS un plan de concientización del uso del internet para ser aplicado en diversos hogares y escuelas. Con encuestas de diagnóstico sobre la creación de las narrativas digitales usando IA, se recopila información necesaria para analizar y desarrollar estrategias que ayuden a verificar la facilidad de uso en la aplicación de esta metodología activa de aprendizaje.
Is There Hope for Chronic Pain Patients?
Authors: Adams James David
Published: January 2024

Many websites are dedicated to educating the public about chronic pain and its management. The majority of these websites say there is no cure for chronic pain, but encourage patients to try exercise, diet, stress reduction and other techniques to decrease the severity of chronic pain. Patients are also taught to use oral or injected drugs to treat their chronic pain. This can be dangerous and leads to adverse events and death in some patients. The majority of these websites teach patients that chronic pain comes from the brain and brain stem. This teaching is incorrect, since chronic pain is generated in the skin and can best be treated and cured with topical medicines.
Comprehensiveness, Accuracy, and Readability of Exercise Recommendations Provided by an AI-Based Chatbot: Mixed Methods Study (Preprint)
Authors: Zaleski Amanda L , Berkowsky Rachel , Craig Kelly Jean Thomas , Pescatello Linda S
Published: January 2024

BACKGROUND

Regular physical activity is critical for health and disease prevention. Yet, health care providers and patients face barriers to implement evidence-based lifestyle recommendations. The potential to augment care with the increased availability of artificial intelligence (AI) technologies is limitless; however, the suitability of AI-generated exercise recommendations has yet to be explored.

OBJECTIVE

The purpose of this study was to assess the comprehensiveness, accuracy, and readability of individualized exercise recommendations generated by a novel AI chatbot.

METHODS

A coding scheme was developed to score AI-generated exercise recommendations across ten categories informed by gold-standard exercise recommendations, including (1) health condition–specific benefits of exercise, (2) exercise preparticipation health screening, (3) frequency, (4) intensity, (5) time, (6) type, (7) volume, (8) progression, (9) special considerations, and (10) references to the primary literature. The AI chatbot was prompted to provide individualized exercise recommendations for 26 clinical populations using an open-source application programming interface. Two independent reviewers coded AI-generated content for each category and calculated comprehensiveness (%) and factual accuracy (%) on a scale of 0%-100%. Readability was assessed using the Flesch-Kincaid formula. Qualitative analysis identified and categorized themes from AI-generated output.

RESULTS

AI-generated exercise recommendations were 41.2% (107/260) comprehensive and 90.7% (146/161) accurate, with the majority (8/15, 53%) of inaccuracy related to the need for exercise preparticipation medical clearance. Average readability level of AI-generated exercise recommendations was at the college level (mean 13.7, SD 1.7), with an average Flesch reading ease score of 31.1 (SD 7.7). Several recurring themes and observations of AI-generated output included concern for liability and safety, preference for aerobic exercise, and potential bias and direct discrimination against certain age-based populations and individuals with disabilities.

CONCLUSIONS

There were notable gaps in the comprehensiveness, accuracy, and readability of AI-generated exercise recommendations. Exercise and health care professionals should be aware of these limitations when using and endorsing AI-based technologies as a tool to support lifestyle change involving exercise.
Appeal of editor-in-chief
Authors: Authors No
Published: January 2024

No abstract
Hepatopulmonary syndrome: diagnosis and treatment
Authors: Chooklin S.M. , Chuklin S.S.
Published: January 2024

Hepatopulmonary syndrome (HPS) is one of the lung diseases associated with liver cirrhosis and portal hypertension. The diagnosis is based on the triad: liver disease and portal hypertension, evidence of intrapulmonary vascular dilatation and impaired gas exchange. HPS impairs prognosis (23 % survival after 5 years) and patients’ quality of life, so early diagnosis and timely treatment are of great importance. Liver transplantation allows for regression of intrapulmonary vascular dilatation in almost 100 % of cases, normalization of gas exchange and improves a 5-year survival after transplantation from 76 to 87 %. This is the only treatment method indicated for patients with severe HPS, defined by an arterial partial pressure of oxygen (PaO2) below 60 mm Hg. However, in the face of a global shortage of transplants, it is necessary to develop medical therapies to delay or even defer liver transplantation. This goal seems possible due to the growing understanding of the HPS pathophysiology and the development of therapies targeting key mechanisms, mainly inflammatory and angiogenic. This article provides an overview of the clinical manifestations, diagnosis and treatment of HPS based on literature sources from the MEDLINE database on the PubMed platform.
Optimisation of conservative treatment of patients with severe heart failure by using hemosorption
Authors: Denysiuk K.V.
Published: January 2024

Background. Heart failure (HF) is a complex cardiac pathology that is the main cause of hospitalisation among adults and is characterised by a high mortality. Dilated cardiomyopathy (DCM) is the most common cause of HF, and it can be fatal within a few years after the first symptoms appear. Many patients with HF remain refractory to medical therapy, despite its constant development and improvement. The study aims to compare the effectiveness of conservative treatment of patients with severe HF that occurred on the background of DCM using drug therapy and its combination with a course of hemosorption (HS). Materials and methods. We analysed treatment outcomes in 30 patients with severe HF against DCM (New York Heart Association class III–V, left ventricular ejection fraction (LV EF) < 30 %). Patients in group 1 (n = 13; N-terminal fragment of brain natriuretic peptide precursor (NT-pro BNP) 4,546.23 ± ± 3,265.01 pg/ml; LV EF 16.77 ± 2.92 %; LV end-diastolic volume (EDV) 261.31 ± 60.60 ml, LV end-systolic volume (ESV) 214.85 ± 49.44 ml) received drug therapy according to local protocols. In group 2 (n = 17; NT-pro BNP 3,974.49 ± 3,550.17 pg/ml; LV EF 18.18 ± 4.36 %; LV EDV 261.12 ± 79.96 ml, LV ESV 212.06 ± 71.67 ml), medical treatment was supplemented with a course of 3 HS procedures using granular deligandizing hemosorbent. Results. Patients in both study groups noted an improvement in well-being and a decrease in the severity of symptoms. The level of NT-pro BNP decreased to 2,609.92 ± 1,465.14 pg/ml (p < 0.01) in group 1 and to 975.35 ± 511.55 pg/ml (p < 0.05) in group 2. LV EF increased to 22.77 ± 4.69 % and 26.76 ± 5.02 %, respectively, in the groups (p < 0.01). In patients of group 1, LV EDV and LV ESV changed to 262.22 ± 40.92 ml and 211.33 ± 35.22 ml, respectively. In group 2, there was a significant decrease in LV EDV to 228.94 ± 73.16 ml and LV ESV to 170.88 ± 60.28 ml (p < 0.01). Conclusions. The use of HS in combination with drug therapy for severe HF on the background of DCM improves the clinical status of patients and LV systolic function.
ECG changes and their prognostic value for the development of sudden cardiac death in HCM patients
Authors: Tseluyko V.Y. , Butko O.O.
Published: January 2024

Background. Hypertrophic cardiomyopathy (HCM) is a primary myocardial disease characterized by an increase in the left ventricular (LV) wall thickness, which is not explained only by abnormal loading conditions. The development of sudden cardiac death (SCD) is one of the most dangerous complications of HCM. The aim of our study was to evaluate the prognostic value of electrocardiography (ECG) changes for the development of SCD in the Ukrainian population of patients with HCM. Materials and methods. We evaluated 350 patients with HCM who were examined in the City Clinical Hospital 8 (Kharkiv, Ukraine) from 2006 to 2021. The diagnosis of HCM was made in accordance with the current guidelines of the European Society of Cardiology. Clinical and instrumental data of patients with HCM were analyzed retrospectively, including general clinical data, 12-lead ECG, echocardiography, Holter monitoring, calculation of the 5-year risk of SCD according to the HCM Risk-SCD tool. The endpoint of the study was SCD and its surrogates, including adequate performance of the implantable cardioverter-defibrillator and the state after a successful resuscitation. Results. Follow-up was 5.0 (1.5–9.5) years. During this time, 16 patients (4.6 %) reached the endpoint, which was 0.9 %/year. According to the HCM Risk-SCD, 5 (31.3 %) patients in this group were at a high (≥ 6 %) and 3 (18.8 %) were at an intermediate risk of SCD (≥ 4 and < 6 %). A multivariable Cox regression analysis has shown that independent predictors of SCD are syncope (hazard ratio (HR) 3.81, 95% confidence interval (CI) 1.11–13.12, p = 0.034), systolic blood pressure (HR 0.97, 95% CI 0.94–0.99, p = 0.026), ECG with “infarction-like” ST elevation (HR 6.81, 95% CI 2.09–22.16, p = 0.001) and PQ interval value (HR 1.03, 95% CI 1.01–1.05, p = 0.002), Harrell’s C-index (HR 0.84, 95% CI 0.73–0.95, p < 0.0001). Conclusions. The proposed HCM Risk-SCD tool was not effective enough in predicting SCD in our study. In order to improve the risk stratification, ECG changes (“infarction-like” ST elevation and PQ interval prolongation) and systolic blood pressure lowering can be used, which were found to be independent predictors of SCD risk.
Research on the Risk of Local Government Special Debt Based on KMV Model: Taking A Province as an Example
Authors: Qiao Rui , Tang Bin
Published: January 2024

Since 2015, the issuance of special bonds by local governments has experienced rapid growth. Special bonds have played a constructive role in stimulating fixed asset investment and infrastructure development, emerging as a pivotal financing mechanism for local governments. This study takes A province as a case study, compiling data on its bond issuance and employing the KMV model to calculate the anticipated default probability and overall default risk of A province's special bonds during 2023-2025. Furthermore, a comparative analysis is conducted with neighboring provinces such as C and B. The findings indicate that A province's government debt risk is generally manageable; however, there exists some level of default risk associated with special bonds. It should be noted that when considering refinancing bond issuance, the repayment of principal and interest on local government special bonds heavily relies on these refinancing instruments, temporarily reducing but not eliminating default risk. Finally, based on empirical analysis results, several policy recommendations are proposed to address the risks posed by local government debt.
NUMERICAL INVESTIGATION OF THE INFLUENCE OF THE LINK POSITIONING IN THE CORONARY STENT INSIDE THE NORMAL ARTERY: A COMPARATIVE STUDY OF TWO COMMERCIAL STENT DESIGNS
Authors: Bekal Chandrakantha , Shenoy Satish , Shetty Ranjan
Published: January 2024

This paper investigates the performance of two commercial stent designs inside the normal artery for induced Von Mises Stress and radial displacement pattern. Investigation focuses on identifying the key design feature of the stent structure responsible for varied stress and displacement pattern. Two commercial stent designs, Supraflex (Stent S) and Yukon Choice (Stent T),are modeled using micro CT images and MIMICS® while idealized models are used for investigation. ANSYS Workbench is used to numerically expand the stent inside an idealized normal artery with inflation pressure. The stent and the artery are modeled using elastic-plastic and hyperelastic material models, respectively. The results suggest crucial influence of the link positioning in inducing an area of higher Von Mises Stress and stress gradient. The locations of a higher stress gradient are those in line with unbound stent crowns. Also, higher and uniform arterial displacement can be observed in the locations in line with the bound crown. Results also suggested a considerable difference in arterial distortion induced by two designs, causes for which can also be attributed to the differences in the link placement. The study suggests that the link connections play a crucial role in setting up stress field/radial displacement. Suitable modification of the link positioning can reduce the higher stress gradient and arterial distortion, which probably can reduce arterial injury.
PREDICTION OF RESPONSES IN A CNC MILLING OPERATION USING RANDOM FOREST REGRESSOR
Authors: Bhattacharya Shibaprasad , Chakraborty Shankar
Published: January 2024

In the present-day manufacturing environment, the modeling of a machining process with the help of statistical and machine learning techniques in order to understand the material removal mechanism and study the influences of the input parameters on the responses has become essential for cost optimization and effective resource utilization. In this paper, using a past CNC face milling dataset with 27 experimental observations, a random forest (RF) regressor is employed to effectively predict the response values of the said process for given sets of input parameters. The considered milling dataset consists of four input parameters, i.e. cutting speed, feed rate, depth of cut and width of cut, and three responses, i.e. material removal rate, surface roughness and active energy consumption. The RF regressor is an ensemble learning method where multiple decision trees are combined together to provide better prediction results with minimum variance and overfitting of data. Its prediction performance is validated using five statistical metrics, i.e. mean absolute percentage error, root mean squared percentage error, root mean squared logarithmic error, correlation coefficient and root relative squared error. It is observed that the RF regressor can be deployed as an effective prediction tool with minimum feature selection for any of the machining processes.
SENSING MECHANISM AND APPLICATION OF MECHANICAL STRAIN SENSOR: A MINI-REVIEW
Authors: Ha Heebo , Qaiser Nadeem , Yun Tae Gwang , Cheong Jun Young , Lim Sooman , Hwang Byungil
Published: January 2024

This study reviews the potential of flexible strain sensors based on nanomaterials such as carbon nanotubes (CNTs), graphene, and metal nanowires (NWs). These nanomaterials have excellent flexibility, conductivity, and mechanical properties, which enable them to be integrated into clothing or attached to the skin for the real-time monitoring of various activities. However, the main challenge is balancing high stretchability and sensitivity. This paper explains the basic concept of strain sensors that can convert mechanical deformation into electrical signals. Moreover, this paper focuses on simple, flexible, and stretchable resistive and capacitive sensors. It also discusses the important factors in choosing materials and fabrication methods, emphasizing the crucial role of suitable polymers in high-performance strain sensing. This study reviews the fabrication processes, mechanisms, performance, and applications of stretchable strain sensors in detail. It analyzes key aspects, such as sensitivity, stretchability, linearity, response time, and durability. This review provides useful insights into the current status and prospects of stretchable strain sensors in wearable technology and human–machine interfaces.
Lane-Line Detection System for Vehicle Using Python
Authors: Yadav Soni , Tripathi Kratika , Singh Ankan
Published: January 2024

Abstract: This paper talks about a new way to help cars avoid crashing. We made a smart system that looks at the surroundings and how the driver behaves. By studying how much time is needed to avoid a crash, we created a safety model. We improved this model by adding details about the driver's behavior, making it better at handling different driving situations and giving the right warnings. We tested our system in computer simulations and compared it with others. Our system proved effective in reducing the chance of car crashes. We also collected data to fine-tune and check the system's performance offline. We used a deep neural network with a robotic car in real-time, showing that our system works well in practical situations. In summary, our new collision avoidance system, considering the environment and driver actions, shows promise in preventing car accidents. Testing in simulations and real-life situations proved its effectiveness in making driving safer.
Role of Gross Domestic Expenditure on Research and Development on Economic GDP A Time Series Forecasting Approach Using ARIMA Model
Authors: Zeba
Published: January 2024

Abstract: Research and development is considered as one of the important factor to contribute strongly for sustainable development goals (SDG -9). These further may help in building resilient infrastructure, promoting industrialization, and fostering innovation. Contributions to research and development (GERD) and the number of researchers employed in R&D activities have a significant impact on research and development. The Innovation Index delves deeper than just total GERD figures. It analyzes how effectively countries allocate their R&D resources. This particularly provides reward to the countries that prioritize research in key areas like renewable energy, healthcare, and digital technologies while also considering the efficiency and impact of their R&D spending. The current availability of limited data for index-based studies is not conducive to the design of policy scenarios and technology deployment models. In this paper, we have studied various machine learning models and have employed the ARIMA model to study the impact of data variables to forecast time series forecasting. In this study, a comprehensive R&D spending estimate and its correlation with other variables is analyzed to reveal the global GERD shuffle to escalate the studies on technology impact.
Orality and Literacy of Samkukyusa “Tapsang”
Authors:   The Society Of Korean Oral Literature, Yoon Yeyoung
Published: January 2024

This paper rereads Samguk Yusa “Tapsang” based on the critical media literacy theory and deconstruction. The new media literacy theory reconceptualizes and historicizes the concepts of orality, literacy, and media in the context of the Samguk Yusa, the context of publication, and present acceptance.
In “Tapsang,” the themes and forms of each story, or section(jo), which cannot be easily generalized and categorized, are gathered. “Gasubulyeonchasok” and “Jeonhusochangsari” refer to these characteristics as the heterogeneity and diversity of the text, “Gasubulyeonchasok” and “Jeonhusochangsari.” This is because various records and oral materials are cited and edited in these two sections, and the voice of the author or the compilation is intervened in various forms, such as chan, commentary, and reports between these oral and literacy transmissions.
Therefore, this paper proposes analyzing citations, which are the main mechanisms for creating textual heterogeneity and diversity in “Tapsang” and reading its citations as performative enunciations rather than references. Reading citations as referential enunciations directs an accurate referent, testifies to the historical context, and reveals and excavates objects that authentically exist. In contrast, performative enunciations create, accumulate, and archive referents through a network of enunciations. I tried to explain the effect of citation as a performative enunciation through its analogic relationship with the pagoda or Buddha statue as a trace (medium) of the existence and absence of the sacred.
REVIEW BIJI KARET SEBAGAI BAHAN BAKU ALTERNATIF BIODIESEL
Authors: Hanifarianty Sherly , Wijaya Andi , Pranata Dina Eka
Published: January 2024

Penggunaan bahan bakar fosil seperti minyak bumi dan gas alam, telah menjadi sumber utama energi global selama bertahun-tahun. Namun, ketergantungan yang tinggi terhadap sumber daya ini dan dampak negatifnya terhadap lingkungan telah memicu penelitian dan pengembangan untuk mencari solusi alternatif yang lebih berkelanjutan. Pada tahun 2022, sebanyak 93,45% kebutuhan energi primer nasional disuplai oleh energi fosil. Namun jumlah pasokan energi fosil terus berkurang karena eksplorasi secara terus-menerus. Sejak tahun 2019 produksi minyak bumi menurun dari 781.000 menjadi 644.000 barel per hari. Oleh sebab itu diperlukan diversifikasi energi alternatif untuk menjaga ketahanan energi nasional. Salah satu energi alternatif yang menjanjikan adalah pengembangan bioenergi yakni biodiesel yang dihasilkan dari sumber-sumber alami, seperti tanaman dan mikroorganisme. Salah satu tanaman yang potensial untuk dijadikan bioenergi adalah biji karet (Hevea brasiliensis). Biji karet memiliki kandungan minyak nabati yang dapat dikonversi menjadi biodiesel. Ada beberapa opsi teknologi dalam proses konversi minyak nabati menjadi biodiesel. Proses trans-esterifikasi menjadi pilihan yang paling umum digunakan dalam proses produksi biodiesel karena kesederhanaan proses dan ester asam lemak yang diperoleh memilki karakteristik yang mirip dengan petrodiesel. Selain itu juga, reaksi ini menghasilkan produk samping gliserol yang memiliki nilai tambah produk dari proses ini.
The Effectiveness of Instagram @folkative Social Media as a Means of Information for the Young Generation
Authors: Maharani Nisa Aulia , Faradila Faja
Published: January 2024

The internet, which is a new medium, is a sign of a new period, namely the existence of interactive technology and network communication, especially in cyberspace, which will change society (Littlejohn & Foss, 2014). With the internet, information is becoming easier to spread and get anytime and anywhere. One of the new mediums is Instagram. Instagram is a social media platform that is used to send information to the public quickly. One of the things uploaded on Instagram is information about the latest news on the @folkative account. This study aims to determine whether the @folkative Instagram account is effective as a means of information for the younger generation. The method used in this study is a qualitative one with data sources from questionnaires. The conclusion from the research results obtained is that the use of social media like Instagram as a means of information for the younger generation has been effective.
BUDAYA PATRIARKI DALAM IKLAN SARIWANGI VERSI ‘SAATNYA BICARA, SAATNYA SARIWANGI #MARIBICARA’ (ANALISIS SEMIOTIKA ROLAND BARTHES)
Authors: Kamilah Alfiyya Hasna
Published: January 2024

Pada 18 Januari 2021 SariWangi mengiklankan produknya dengan muatan konteks patriarki dalam kehidupan keluarga pasangan muda berjudul ‘Saatnya Bicara, Saatnya SariWangi #MariBicara’ di YouTube. Iklan ini menggunakan pendekatan slice of life dengan mengambil konflik mengenai isu kesetaraan gender dalam dinamika berkeluarga. Penelitian ini bertujuan untuk membongkar ideologi patriarki di unit keluarga yang bekerja pada tanda-tanda di balik iklan yang mengarah pada terjadinya konstruksi makna mitos. Teori semiotika Roland Barthes diterapkan dalam penelitian ini untuk mencari makna pesan yang disampaikan melalui tanda-tanda dalam iklan ini. Desain penelitian ini menggunakan paradigma kritis dengan pendekatan kualitatif menggunakan metode analisis semiotika Barthes. Data penelitian diperoleh melalui observasi untuk mencari unit analisis yang digunakan dalam penelitian ini. Hasil penelitian yang didapat melalui proses signifikasi dua tahap yang dipahami dalam istilah denotasi dan konotasi ditemukan sejumlah tanda yang mengarah pada mitos berupa mitos maskulinitas dan domestikasi. Namun, di sini iklan dikonstruksikan sebagai media kritik terhadap patriarki privat. Hal tersebut ditunjukkan dengan adanya penyadaran gender yang dibangun iklan tersebut melalui tahap penyelesaian konflik berupa tindakan yang dinilai salah dengan meleburkan mitos tersebut. Dari iklan SariWangi tersebut dapat diketahui bentuk resistensi terhadap sakleknya budaya patriarki dalam sistem masyarakat.
TWITTER: REPRESENTASI DAN EKSPRESI DIRI TANPA SEKAT
Authors: Aisha Emeralda , Bahalwan Halida
Published: January 2024

Twitter merupakan platform media sosial yang mempromosikan pembicaraan publik, dimana para pengguna bisa saling berinteraksi satu sama lain tanpa sekat yang berarti. Lingkungan Twitter ini membuat para pengguna merepresentasikan dirinya dengan cara yang berbeda-beda tergantung dengan tujuan penggunaan mereka dalam menggunakan Twitter sebagaimana dijelaskan oleh konsep Ekologi Media. Untuk itu, penelitian ini berupaya melihat bagaimana representasi dan ekspresi diri para pengguna Twitter yang dipengaruhi oleh berbagai fitur yang ada di Twitter. Tujuan yang hendak dicapai dari penelitian ini antara lain: (1) Mengetahui Twitter mempengaruhi representasi diri pengguna (2) Menjelaskan Twitter sebagai media teknologi membentuk cara berkomunikasi tertentu bagi para pengguna. Penelitian ini merupakan micro research, yang dilakukan secara kualitatif kepada 10 orang pengguna Twitter dengan metode random sampling. Hasil penelitian menunjukan representasi diri yang dilakukan oleh para pengguna Twitter tidak terlepas dari bagaimana Twitter membebaskan para penggunanya untuk berekspresi dan karakter Twitter yang cepat dan up to date.
USER EXPERIENCE: NEW DIGITAL EXPERIENCE YIPY MOBILE APPLICATION SEBAGAI MEDIA KOMUNIKASI DI KAWASAN HUNIAN APARTEMEN ROYAL MEDITERANIA GARDEN RESIDENCES PODOMORO CITY
Authors: Aidin Nurul , Hayati Suryaning
Published: January 2024

Lack of time and communication channels to facilitate all forms of communication between building management and tenants and other stakeholders, submit complaints, convey ideas, and at the same time for the development of further facilities as well as to maintain harmony between occupants and managers, the P3SRS and managers initiated a communication channel based Digital named Yipy. This application started to be used in September 2021 so the researcher intends to find out the user experience of the application. This research is intended to determine user experience in a digital-based communication framework on the Yipy application in terms of six elements of user experience, namely attractiveness, efficiency, clarity, dependability, stimulation, and novelty. The results of this study are 1) attractiveness, has attractiveness, color, animation, and design attracts attention, is easy to access and the features in it are easy to understand; 2) efficiency, this application is very detailed, precise, fast, and practical because of the realtime response; 3) easy to understand, the application is very useful, especially in payment and complaint activities, and is very user friendly; 4) dependability, the application is safe and predictable; 5) stimulation, users will continue to use the yipy application because through this application they can monitor tenant service requests so that; 6) novelty, as a solution for the transition from conventional services to digital-based services, in the form of innovative, creative and informative services.
ETIKA DALAM ERA DEEPFAKE: BAGAIMANA MENJAGA INTEGRITAS KOMUNIKASI
Authors: Leliana Intan , Irhamdhika Gema , Haikal Achmad , Septian Rio , Kusnadi Eddy
Published: January 2024

Penelitian ini bertujuan untuk mengetahui pemecahan masalah etika pada era dimana deepfake merebak, dan memberikan pemahaman mengenai risiko yang bisa ditimbulkan dari pembuatan video deepfake untuk menjaga integritas komunikasi. Deepfake adalah sebuah bentuk Artificial Intelligence (AI) yang menjadi fenomena di era digital saat ini, Dalam beberapa kasus, deepfake digunakan untuk tujuan jahat, seperti pemalsuan video atau audio dengan maksud merusak reputasi seseorang atau menyebarkan informasi palsu. Para pengguna deepfake dapat membuat video palsu dari seseorang yang akhirnya dapat melanggar privasi mereka seperti mengganti identitas seseorang dalam situasi dimana saat identifikasi hal-hal yang krusial seperti akun perbankan atau keamanan nasional. Kemajuan teknologi Artificial Intelligence (AI) yang canggih mengacu kepada manipulasi gambar atau video untuk menyatukan kemiripan seseorang ke wajah orang lain, jadi seolah olah-olah mereka sedang melakukan atau mengatakan sesuatu yang sebenarnya tidak pernah terjadi. Metode dalam penelitian ini adalah dengan cara mendeskripsikan fakta-fakta yang didapat dari sumber data kemudian dianalisis secara mendalam. Penelitian kualitatif dengan menggunkana metode literatur diambil untuk penelitian ini. Deepfake adalah tantangan serius bagi etika komunikasi dan integritas informasi. Untuk menjaga integritas komunikasi dalam era deepfake, diperlukan upaya kolaboratif dari masyarakat, pemerintah, lembaga, dan individu. Etika dalam berkomunikasi dan literasi media harus ditingkatkan, sementara regulasi dan teknologi pendukung juga perlu berkembang. Hanya dengan pendekatan holistik seperti ini, kita dapat menjaga integritas komunikasi dalam era deepfake yang semakin kompleks.
The COVID-19 crisis as a vector for changes in healthcare
Authors: Korsak K. S. , Voropaev E. V. , Kovalev A. A. , Sharshakova T. M. , Stoma I. O.
Published: January 2024

Objective. To assess the possible impact of the COVID-19 pandemic on the attitudes of Belarusian doctors toward vaccination.Materials and methods. A questionnaire survey has been conducted using the Google Forms service for doctors of different specialties in the Republic of Belarus.Results. A total of 1815 doctors from 7 regions of the Republic of Belarus participated in the survey. A considerable part of the respondents (79,89%, or 1450 people) have a positive attitude to vaccination, 16,42% (298 people) – neutral, a part of the respondents (3,69%, or 67 people) have a negative attitude towards vaccination. The highest percentage of positive evaluations of the attitude towards vaccination was revealed among infectious disease doctors, pediatricians and doctors of prophylactic specialization. For a significant proportion of respondents (62.7%, or 1,138 people), the pandemic raised an interest in vaccination issues. The attitudes toward vaccination by the majority of surveyed physicians either remained unchanged (49.2%, or 893 people) or changed for the better (47.22%, or 857 people). The vast majority of respondents are vaccinated against COVID-19 and influenza. Willingness to be vaccinated against influenza was most noted among infectious disease specialists and prophylactic physicians.Conclusion. The COVID-19 pandemic changed more than just practical medicine and science, it also transformed the information field, initiated educational reforms, and demonstrated the importance of human values. The COVID-19 pandemic influenced the physicians’ growing interest in vaccination.
Analysis of the application of «My therapy application» to the compliance of drinking (ARV) in HIV/AIDS people in Kompeda, Surabaya
Authors: Rositasari Devy Vatma , Wardani Erika Martining , Rohmawati Riska , Hidaayah Nur
Published: January 2024

HIV/AIDS sufferers are required to take antiretrovirals (ARVs), on time and with discipline, but many sufferers will forget to take their medication. In overcoming this problem by providing the my therapy application. The aim of this study was to analyze the effect of applying the my therapy application on adherence to taking ARV medication in HIV/ AIDS people at Kompeda Surabaya.The research design used the Pre-Experiment, with the one group pre-test and post-test design approaches. The study population consisted of 74 people with a sample size of 62 respondents using probability sampling technique. The variables of this study are the application of digital my therapy and adherence to taking ARV medication. Data analysis used the Wilocoxon Signed Rank Test.The results of this study were obtained after being given the application of the my therapy application to people with HIV/AIDS with the results of the statistical wilocoxon test obtained a p-value of 0.000, it can be concluded that H1 is accepted meaning that there is an effect of the application of my therapy on adherence to taking ARV medication in people with HIV/AIDS at Kompeda Surabaya.The conclusion in this study was that before the intervention was given, most patients did not adhere to taking medication. Therefore, it is hoped that HIV/AIDS patients can maintain adherence to taking ARV medication, so that it can inhibit the growth of the HIV/AIDS virus. It is hoped that Komeda Surabaya will be able to overcome the importance of special treatment with education for adherence to taking ARV medication for people with HIV/AIDS at Kompeda Surabaya.