bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Indonesia’s Human Resource Development
Authors: Supriyatno H. Budi , Hakim Azis , Ningsih Sari , Herawati Susetya
Published: May 2024

Lack of human resource skills and low educational attainment are still problems related to human resources in Indonesia. According to the Society for Human Resource Management (SHRM), which represents 258,000 members in more than 165 countries, one of the main challenges for Indonesian human resources today is competition. They believe that the demand for qualified and trained human resources throughout the world has increased, but productivity and quality of human resources are still very low at present. In Indonesia itself, data shows that the number of workers has a low level of education. The Central Statistics Agency noted that Indonesia’s working population will reach 139.85 million people in August 2023. Based on their level of education, the domestic working population is dominated by elementary school graduates and below, the number reached 51.49 million people or contributed 36.82% of the total working population in the country. Then there were 24.85 million junior high school graduate workers, or 17.77%. Meanwhile, the working population with high school graduates is 28.33 million people or accounts for 20.25%. Meanwhile, 17.33 million Indonesian workers are vocational school graduates. The proportion reached 12.40%. Meanwhile, the population of university graduates is recorded at 14.44 million people, or 10.32% of the total working population nationally. Lastly, the number of workers graduating from Diploma I/II/III is the lowest, namely only 3.41 million people or 2.44%. Education level can indicate the quality and productivity of the workforce. According to the scope of work, the majority of the working population in Indonesia works in the informal sector, namely 59.11%. Meanwhile, the other 40.89% work in the formal sector. Because most human resources have limited skills and a low level of education, it will be difficult to increase the productivity and quality of human resources to compete. In the current era of advanced technology and industrialization, human resources are needed who can develop, think more advanced and are able to adapt to the times. The quality of human resources is the key to the country’s future success. Superior and competitive human resources mean that Indonesia is treated equally and respected by other countries. The quality of Indonesia’s human resources is still weak, therefore training and development needs to be carried out to improve quality. This research aims to analyze human resource development in Indonesia. Data was analyzed qualitatively. The results of the research show that Indonesian human resources have developed through education and training. This can be improved in order to achieve increased quality of human resources.
Strengthening Bhutanese Traditional Medicine in healthcare service delivery in Bhutan
Authors: Tamang Monu , Wangda Pema , Shomuyiwa Deborah O. , Chophel Sanga
Published: May 2024

Bhutanese Traditional Medicine, known as Sowa Rigpa, deeply rooted in the country’s cultural and religious heritage, plays a significant role in healthcare service delivery in Bhutan. This commentary explores the evolution and current landscape of Sowa Rigpa within the context of the nation’s healthcare system. While traditional medicine services have expanded over the years, challenges such as scepticism regarding scientific validity, inadequate infection control measures and concerns about the sustainability of medicinal plants persist. To address these challenges, recommendations, including the integration of modern technology in quality assurance, comprehensive training in infection control, evidence-based practice and conservation efforts for medicinal plants have been adopted. By embracing these strategies, Sowa Rigpa can enhance its efficacy, safety and sustainability, ensuring its continued relevance in meeting the healthcare needs of the Bhutanese population while contributing to the global advancement of Traditional Medicine practices.
Research Seminars at the Faculty of Traditional Medicine, Khesar Gyalpo University, 2021-2023
Authors: Phuntsho Sonam , Wangdi Sangay
Published: May 2024

The journey of adopting a research approach in transforming Sowa Rigpa into an evidence-based health system in Bhutan has just commenced and will continue to strive towards achieving new heights in the field of Sowa Rigpa. In pursuit of making the conference accessible and inclusive, starting in 2024, the Faculty is organizing a national-level conference, opening the platform to all the budding researchers within the country to present and disseminate their research findings. Through research conferences, the Faculty of Traditional Medicine remains committed to promoting ideas for research, innovation, and discourse on Sowa Rigpa with the engagement of all relevant stakeholders and academicians in Bhutan and from countries in the region. The conference not only serves as a platform for discussion but also provides opportunities to establish collaborations with institutions to further academic learning and growth.
Reporting of Tsakar (neuropathy) as the top-most common condition in Traditional Medicine centres in Bhutan: a review
Authors: Wangdi Tendrel
Published: May 2024

Tsakar has been observed as the most common disease presenting at the Traditional Medicine centres across the country for the past five years. The proportion of patients with Tsakar ranges between 13.00% – 16.20% based on the annual statistics for the years 2019 – 2023. Tsakar in Traditional Medicine is equivalent to neuropathy in allopathic medicine. According to Sowa Rigpa, the main causes of Tsakar include rigorous labour and dysfunction of white channels which cause the imbalance of wind and blood in the body. The symptoms associated with Tsakar are physical deformation of mouths and eyes, loss of speech and consciousness, the body becoming immobile, and involuntarily loss of excretions (faeces and urine). This review is based on interviews with the treating physicians at the National Traditional Medicine Hospital, programme managers, and field experts. Firstly, Bhutan Traditional Medicine Disease Coding system developed for the purpose of statistical classification of Traditional Medicine diseases includes Zadrip under Tsakar category. This has led to the overrepresentation in the compilation of annual statistics. Zadrip is a cerebrovascular disease referred to as stroke in allopathic medicine. Zadrip causes immobility of hemi-section of the body, stiffness of limb, urge for vomiting and swollen lingual veins. Secondly, the use of steam and herbal baths for the treatment of Tsakar is effective in symptom resolution leading to its growing demand. Thirdly, similarities in the symptoms between Zadrip in Traditional Medicine and stroke in allopathic medicine have led to diagnostic challenges requiring meticulous evaluation.
Exploring the Role of Artificial Intelligence in Personalized Payment Recommendations
Authors: Ramachandran Kalyanasundharam
Published: May 2024

This white paper delves into the transformative potential of Artificial Intelligence (AI) in revolutionizing payment systems through personalized payment recommendations. It explores how AI technologies can be leveraged to analyze consumer behavior and customize payment options, thereby enhancing user engagement and security in digital transactions. Stakeholders, including financial institutions, e-commerce platforms, payment service providers, and technology developers, will find in-depth analysis and actionable insights on integrating AI to optimize payment experiences. This document outlines the benefits, challenges, and practical implementations of AI in payment systems, offering stakeholders a comprehensive guide to harnessing AI for improved consumer satisfaction and transaction efficiency. Through this exploration, stakeholders can anticipate gaining a clear understanding of how AI-driven personalization can be strategically implemented to drive business innovation and maintain competitive advantage in the rapidly evolving digital marketplace.
AI-Enhanced Data Visualization: Transforming Complex Data into Actionable Insights
Authors: Devineni Siva Karthik
Published: May 2024

Purpose: The purpose of this study is to explore how artificial intelligence (AI) becomes a part of data visualization. Thus, data from complex datasets are transformed into dynamic, interactive, and personalized visual experiences that will help in deeper insights and actionable knowledge. The research is supposed to design a holistic system and rules for using AI to make data visualization more effective and super interactive for the users.
Methodology: The methodology involves the in-depth examination of artificial intelligence-based data visualization tools and platforms by using case studies. The study analyses the impact of AI technologies such as machine learning, natural language processing, and augmented and virtual reality on the scalability, interactivity, and personalization of data visualizations. The sentence also talks about the analysis of the moral factors that are part of the process of introducing AI in data visualization.
Findings: The findings indicate that AI greatly improves the process and the quality of data visualization, thus, it makes possible the management of big, complicated, multi-dimensional datasets in a more efficient and precise way. The AI-driven tools give the users the opportunity to see the actions that are happening in real-time, predict the results, and personalize the tools according to their individual needs, thereby increasing the decision-making processes. Furthermore, ethical issues like data privacy, bias, and transparency must be well managed. This research has the distinctive feature of providing a theoretical framework that emphasizes the importance of AI in the development of data visualization technologies.
Unique contribution to theory, policy and practice: In practice, it gives the rules for the implementation of AI tools to achieve more effective and user-focused visualizations. The policy focuses on the necessity of ethical standards in AI deployments, which means the data visualization practices should be transparent, accountable, and bias-free, thus creating trust and reliability in the AI applications.
Reality Characteristics,Power Mechanism and Path Choice of New Quality Productivity
Authors:   School of Teacher Development, Shaanxi Normal University/ Shaanxi Institute of Teacher Development,School of Economics and Management, HAN Fei , LIAO Siyue ,   School of Teacher Development, Shaanxi Normal University/ Shaanxi Institute of Teacher Development
Published: May 2024

New-quality productivity is a new type of productivity that emerges in the context of a new era, a new economy and a new industry, aiming at high-quality development, led by scientific and technological innovation, with high-quality workers at its core, and based on a new mode of production and organisation. The new productive forces has the characteristics of attaching importance to innovation, a long-term approach and a grasp of opportunities. These characteristics of the new productive forces enable them to meet the needs of enterprises to promote efficient production, the economic needs to promote high-quality industrial development, the social needs to meet the people􀆳s high quality of life, and the political needs to ensure that the country wins the initiative. The power mechanism of China􀆳s new quality productivity consists of the driving force of scientific and technological innovation, the driving force of government support and the pulling force of market demand. On the basis of the internal and external driving forces, emphasis is placed on building a scientific and technological innovation system with scientific and technological innovation as the core, cultivate emerging future industries by means of government-enterprise synergy, and adhering to high-quality development guided by social demand, in order to promote the rapid development of new quality productivity, in order to contribute to the development of productive forces and the sustainable development of human society.
Innovation in Hong Kong Offshore RMB Products Based on Stablecoin,Blockchain,and Smart Contract
Authors:   Shenzhen Finance Institute, School of Economics and Management, Chinese University of Hong Kong, XIAO Geng , XIONG Wei ,   Shenzhen Finance Institute, School of Economics and Management, Chinese University of Hong Kong
Published: May 2024

The rapid development of stablecoin has become one of the important issues of concern for central banks and governments around the world. As an international financial center, Hong Kong has launched many explorations on the issuance, supervision and operation of stablecoin-related digital products. This article suggests that Hong Kong can create a stablecoin anchored to the offshore RMB and, based on this stablecoin, use limited distributed blockchain technology and smart contracts to establish a new digital financial infrastructure platform. The above platform. will have broad application prospects in three aspects: advancing the construction of the Guangdong-Hong Kong-Macao Greater Bay Area international financial center cluster, promoting the internationalization of RMB, and enhancing national security in the financial sector.
The Social and Psychological impact of Taekwondo
Authors: Dr. Minaxi Mooliya  , Sonam Govardhan Tandale
Published: May 2024

The Social And Psychological Studies It should be noted that interests in Taekwondo social and psychological impact date back to the 1960s. However, it was not until the mid-nineties that its focus was turned to the youth practitioners. While researchers used to examine the normal traits that Taekwondo focused on, like boosting self-esteem, independence, and even decreasing anxiety and stress, all changed. Instead, they began focusing on the hostility and anger found in the Taekwondo practitioners. However, the bias towards their findings reduced when these researchers started weighing the teaching methods, that is, the traditional versus the non-traditional techniques. The outcomes became more positive when the training laid focus on the long-established approach to Taekwondo
Try Before You Buy – Virtual Dressing Room
Authors: Prof. S. P. Mali  , Prathamesh Jadhav  , Manish Koli  , Pratiksha Jankar  , Gayatri Nikam
Published: May 2024

Due to the rapid growth of technology development, our daily life is heavily affected by smart systems, which facilitates our activities. For instance, online shopping grew up very fast. People are getting more used to online shopping, online auctions, etc., to purchase their interested products. This way of transaction has become the main trend and it brings great convenience to customers
Optimization of Crop Production using Python
Authors: Chetankumar Meshram  , Himanshu Sharma  , Ridam Lokhande  , Prof. Dhananjay Dumbere
Published: May 2024

The paper critically reviews various methods exclusively used for c r o p planning and points out suggestions for improvement in techniques used for crop planning. Specifically, the study examines scope for optimization of crop plan, objectives and constraints, approaches, seasonality issues, sensitivity analysis and various computer software packages used in computing the optimum models. With such extensive coverage, it intends to help the end users to decide upon an appropriate/suitable method corresponding to their situation and scenarios to frame the best and most practical/realistic optimum crop model.Cropping systems with differential requirement and contribution in modifying the rhizosphere by different crops provide newer challenge as well as opportunity for management to achieve higher input productivity for water and nutrients. Although, more than 250 double cropping systems are adopted in the country, the major contribution to food basket remains with the few cereal based systems such as rice-wheat, rice-rice, rice-gram, rice-sorghum, maize-wheat, maize-gram, soybean-wheat and sugarcane-wheat due to their extent of cultivation
Stock Market and Cryptocurrency Price Prediction
Authors: Rushank Patil  , Vaishnavi Patil  , Prajakta Kshirsagar  , Vaishnavi More  , A. R. Gyanbote
Published: May 2024

Financial market prediction has profound impacts on trading, investing, and risk management strategies. However, accurate forecasting of asset prices like stocks, cryptocurrencies, forex, and commodities remains challenging due to the complexity, noise, and non-stationarity in financial time series data. This project leverages machine learning to develop data-driven predictive models that can capture intricate patterns and provide actionable insights.
Three distinct algorithms are explored - Moving Average Convergence Divergence (MACD) for next-day price forecasting, linear regression for next-day forecasting, and Long Short-Term Memory (LSTM) recurrent neural networks for predicting prices over a 1-week (7-day) horizon. Extensive historical data from major stock indices like S&P 500, NIFTY 50, top cryptocurrencies, forex currency pairs, and commodities are utilized for training and evaluation.
The models incorporate both technical indicators derived from price/volume data as well as fundamental factors and news sentiment obtained from sources like Alpha Vantage API. A rigorous methodology involving data preprocessing, feature engineering, model training, hyperparameter optimization, and backtesting on unseen data is employed to ensure the models' robustness and generalization capabilities. Appropriate error metrics like mean squared error and directional accuracy are used for quantitative performance assessment.
Additionally, interpretability techniques are applied to the LSTM models to uncover non-linear patterns and understand the key drivers influencing the forecasts. The overarching goal is to develop accurate predictive systems that financial institutions, quantitative funds, and individual investors can leverage for applications like algorithmic trading, portfolio optimization, and data-driven investment decision support across different asset classes and market conditions
Smart Trolley with Automated Billing System
Authors: Ishika  , Himanshu Raj  , Sanskruti Nalawade  , Dr. Omprakash Rajankar  , Dr. Bhausaheb Shinde
Published: May 2024

This paper talks about an innovative approach in enhancing the shopping experience through the introduction of smart technology in traditional shopping carts. The project highlights the development of a Smart Trolley with an Automated Billing System that utilizes ESP32 microcontroller and PN532 NFC/RFID scanner. Both NFC and RFID technologies are incorporated in the project to streamline the shopping process by allowing automatic item detection and initiating the billing process as items are placed in the cart. For the bill to be accessed by the user, the bill not only gets displayed on the LCD screen attached to the trolley but is also sent to the user’s Telegram account since a Telegram bot is created for sending the bill to the user directly on their phones. The main objective here is to reduce checkout times and enhance the overall efficiency in retail environments. The addition of Telegram bot to the project makes it even more user friendly and innovative in the market
Detection of Fire in the Environment via a Robot-Based Fire Fighting System Using Sensors
Authors: Vaibhav L. Jadhav  , Arjun P. Shinde  , Dr. Kazi K. S.
Published: May 2024

The Autonomous Firefighting Robot Using Arduino is an innovative and technologically advanced solution designed to enhance the efficiency and safety of firefighting operations. The system employs an Arduino microcontroller as the central control unit, integrating various sensors and actuators to create a fully autonomous firefighting robot. The robot is equipped with a range of sensors, including heat sensors, smoke detectors, and infrared sensors, enabling it to detect and locate fire incidents with high accuracy. Upon detection, the robot autonomously navigates through the environment using motorized wheels and a precise navigation algorithm. The use of Arduino allows for real-time decision-making based on sensor inputs, ensuring swift and adaptive responses to dynamic firefighting scenarios. The firefighting capabilities of the robot are facilitated by a built-in water spraying mechanism. A water reservoir, coupled with a pump and nozzle controlled by the Arduino, enables the robot to suppress flames effectively. The system also incorporates obstacle avoidance algorithms to navigate around obstacles and reach the fire source efficiently. Communication features are integrated into the robot, allowing it to transmit live data and video feed to a remote control station. This enables firefighters to monitor the situation in real-time, make informed decisions, and control the robot manually if necessary. The autonomous nature of the robot significantly reduces the risks associated with human intervention in hazardous environments. In conclusion, the Autonomous Firefighting Robot Using Arduino presents a cutting-edge solution for enhancing the capabilities of firefighting operations. Its autonomous navigation, advanced sensor integration, and firefighting mechanisms make it a valuable tool for first responders, providing a safer and more efficient approach to mitigating fire incidents. This research contributes to the ongoing development of robotics in emergency response applications, showcasing the potential of Arduino-based systems in addressing real-world challenges
Analysis and Design of G + 1 RCC Building
Authors: Yash Diwase  , Ritik Raut  , Vaibhav Kannake  , Aniket Mankar  , Prof M. K Shende
Published: May 2024

Due to advancement of technology humans are creating software to make things easier and time saving. As a result in the civil engineering point of view the manual design of buildings has lost its importance. It is true that design using a software is easy and time saving and mostly results are accurate. On the other hand manual design is a cumbersome job and a time consuming process, but for a beginner manual design helps to understand the basic fundamentals that are involved in designing a building. Once a person gains knowledge in manual design he will be knowing the elements involved in designing and can easily understand the usage of software. The main objective of the project is to use the knowledge that we have learn during our graduation and learn to deal with practical cases. We wish this project will fulfil our purpose.
Diesel Fuel Stripping Systems for Enhanced Fuel Quality and Performance
Authors: Saurabh Rahate  , Prashant Pinto  , Shriprasad Darvajkar  , Mohammed Mongale  , Kedar Bhide
Published: May 2024

Diesel fuel quality is essential for efficient engine performance, but stored diesel can accumulate contaminants over time, impacting engine efficiency and increasing maintenance costs. Diesel stripping systems, such as diesel strippers or diesel fuel polishing systems, play a crucial role in addressing these issues by effectively removing impurities and ensuring fuel purity. This paper examines the design, engineering, and operational aspects of diesel stripping systems, focusing on their ability to enhance fuel quality and optimize engine performance. Components like filters, pumps, separators, and steam stripping units work together, with steam stripping being a key method for removing light ends and hydrogen sulfide (H2S) from diesel. Design considerations, including system integration, material selection, and safety features, are critical for system effectiveness and reliability. Performance testing and maintenance practices ensure compliance with contaminant removal standards and sustain system efficiency. This research contributes to advancing diesel fuel management practices and identifies future trends for improved efficiency and environmental sustainability in diesel fuel purification technologies
Artificial Neural Networks for Diagnosis of Kidney Stones Disease
Authors: Pavan V. Dahatonde  , Saurabh D. Padaghan  , Devanand G. Darade  , Shyam M. Makhamale  , Rushikesh M. Bhurbhure  , Priya M. Dandekar  , Mayuri G. Zore
Published: May 2024

The foundation of medical care for children with renal stone disease is the assessment of metabolic risk factors, which aims to stop the growth of preexisting calculi and subsequent stone occurrences. In this retrospective analysis, 90 children with kidney stone disease who had been sent to our institution and had undergone clinical testing in accordance with a defined procedure had their metabolic risk factors, clinical histories, and family histories assessed. Our pediatric patients were 10.7 years old on average, with a male to female ratio of 1.14:1.0. In 84.4% of the instances, biochemical abnormalities were discovered. Of the patients, 52.2% (n = 47) had only one urine metabolic risk factor, whereas the remaining 31.1% (n = 28) had several risk factors. Adrenal hypercalciuria. The aim of this work is to compare the performance of all three neural networks on the basis of its accuracy, time taken to build model, and training data set size. We will use Learning vector quantization (LVQ), two layers feed forward perceptron trained with back propagation training algorithm and Radial basis function (RBF) networks for diagnosis of kidney stone disease. In this work we used Waikato Environment for Knowledge Analysis (WEKA) version 3.7.5 as simulation tool which is an open source tool
Effect of Cryogenic Heat Treatment on Multiple Tempered D-2 Tool Steel
Authors: Mr. Kotkar Suyog Suyog
Published: May 2024

The present day scenario in the manufacturing sector demands high productivity and the life of cutting tools plays a major role in increasing productivity. The freezing of metals has been acknowledged, for many decades, as an effective method for increasing" wear life" and decreasing residual stress in tool steels. Wear test using pin-on-disc machine was used to investigate the effect of multiple tempering after cryogenic treatment of D-2 tool steel. Conventional quenching (1010◦C) and tempering (515◦C) treatments were given along with intermediate cryogenic treatment (−196◦C). Specimens were subjected to wear tests on pin-on-disc machine in dry sliding condition for sliding distance of 6000 m at 6 kg load and for sliding speed of 3.0 m/s. Hardness data, microstructures, wear loss and Microstructure analys is analysis of worn surface throw light on the underlying metallurgical mechanism responsible in improving wear resistance property of the D-2 tool steel
HTLV-1: Neglected Virus in Southeast Asia for Decades
Authors: Hidekatsu Iha
Published: May 2024

There are more than 100 types of human pathogenic viruses, with seven currently known oncogenic viruses (Hulo et al., 2011). Hepatitis B (HBV)/C (HCV) viruses (Mohamed et al., 2023) and human papillomavirus (Wee et al., 2024) are pathogens of public health concern not only in Malaysia but also in many other countries, while Burkitt's lymphoma (Epstein-Barr virus) and Kaposi's sarcoma (Kaposi's sarcoma-associated herpesvirus) pose serious complications for AIDS patients (Carbone et al., 2022).
Emergency Haemorrhoidectomy in Acute Haemorrhoidal Crisis: A Tertiary Centre Experience
Authors: Kamarulzaman Muhd Yusairi , Rosli Fatin Nur Laily , Mohamed Kamil Nil Amri , Wan Khazim Wan Khamizar , Kai Wong Michael Pak
Published: May 2024

Acute haemorrhoidal crisis refers to painful, irreducible prolapsed haemorrhoids. On the best of hand, surgical treatment of acute haemorrhoidal crisis could still risk complications of bleeding and worse, incontinence. Our study aimed to look at the short-term outcomes of emergency excisional haemorrhoidectomy for acute haemorrhoidal crisis at a colorectal centre. This is a retrospective study conducted at a tertiary centre in the northern state of Malaysia from January 2015 to December 2020. The medical record was traced from the medical record unit and the operation theatre list for all patients with surgical treatment for an acute haemorrhoidal crisis. Sociodemographic data and complications rate were collected with 12 months follow-up. There were 51 patients identified from the registry and 29 out of those were male. The median age was 41 (20-82) years old. In addition, 26% (n=13) of the females were pregnant at presentation. Five patients had previous haemorrhoidal procedures performed. The median operating time was 35 (15-143) minutes with the length of hospital stays of 4 (2-10) days. The early complications were seen in 17 patients with bleeding (5.9%) and urinary retention (27%). The 12-month recurrence rate was 7.8% with median Wexner incontinence scores of 0 (0-3). The emergency excisional haemorrhoidectomy in acute haemorrhoidal crisis is safe and effective for immediate symptomatic relief with an acceptable low self-limiting complication rate.
Environmentally Friendly Energy Sources for Sustainable Electricity Generation in Schools
Authors: Nworabude E. F , David F. I , Ufoaroh S. U
Published: May 2024

Ensuring a sustainable future necessitates the development of environmentally favorable projects. A safe environment not only supports various energy sources but also lays the groundwork for sustainable plans for future generations. This paper explores the feasibility of utilizing renewable energy sources (RES) within educational institutions, specifically Community High School Akwaeze, to generate electricity. Solar energy, harnessed through photovoltaic (PV) modules installed on the rooftops of 2-storey and 1-storey school buildings, has the potential to generate 27KW and 9KW of electricity, respectively. Biomass derived from human waste in the school hostels can be utilized for biogas production, capable of generating 234KWh of electricity. By leveraging these two energy resources, the school can meet its daily electricity demand of 10.21KW and even produce excess power for sale to nearby businesses, offices, and homes, thereby establishing a sustainability fund. However, the installation of such energy systems requires significant capital investment, potentially necessitating support from government entities, as well as alumni associations, for projects realization.
Realizing District-Community Driven Outcomes Through Inclusive Innovation
Authors: White, Ed.D. Latia P. , Merritt Johnson, Ph.D. Alexandra
Published: May 2024

This report examines the implementation of the Inclusive Innovation model across various pilot districts, spotlighting the collaborative processes of co-research and co-design involving students, educators, administrators, and community members. By centering the voices of students and communities who typically are furthest from opportunity, Inclusive Innovation fosters the development of solutions intended to mitigate education inequities. The report illustrates how Inclusive Innovation, through the co-creation of solutions by district-community teams focused on equity-centered outcomes, not only achieves perceived success in meeting those outcomes but also fosters a sense of empowerment and ownership among all participants.
Effective cost management strategies in global supply chains
Authors: Uzoma Okwudili Nnaji  , Lucky Bamidele Benjamin  , Nsisong Louis Eyo-Udo  , Emmanuel Augustine Etukudoh
Published: May 2024

This review paper explores effective cost management strategies within global supply chains, highlighting the necessity for businesses to adapt and innovate in response to complex logistical operations, economic fluctuations, and geopolitical risks. It delves into strategic sourcing and procurement, inventory management techniques such as Just-In-Time (JIT) systems, logistics and transportation optimization, and the pivotal role of technology and automation in enhancing efficiency and reducing costs. The paper identifies gaps in current literature, particularly the need for more research on sustainable practices and risk management strategies. Recommendations for practical implementation are provided, emphasizing flexibility, resilience, and the importance of leveraging technology. Future research directions are suggested to further understand the dynamics of global supply chain cost management and the integration of sustainability practices.
Keywords: Global Supply Chain, Cost Management, Strategic Sourcing, Inventory Management, Supply Chain Technology, Risk Management.
Leveraging financial incentives for enhanced diversity: A review and new models
Authors: Mayokun Daniel Adegbola  , Ayodeji Enoch Adegbola  , Prisca Amajuoyi  , Lucky Bamidele Benjamin  , Kudirat Bukola Adeusi
Published: May 2024

This review paper explores the efficacy of leveraging financial incentives to enhance organisational diversity. Traditional approaches to diversity management have often proven insufficient in achieving lasting change. Innovative models, such as the Diversity Bonus and Equity Incentive Program, have emerged to incentivise inclusive behaviours and practices. Organisations can drive cultural transformation and promote diversity in measurable ways by aligning financial incentives with diversity goals. However, challenges such as tokenism and unintended consequences must be addressed. Future research should further investigate the effectiveness of financial incentives in diversity management and refine practical applications to maximise impact.
Keywords: Diversity, Financial Incentives, Diversity Management, Organisational Culture, Equity, Inclusion.
INFLUÊNCIA DO ESCORE DE CONDIÇÃO CORPORAL NA TAXA DE PRENHEZ EM VACAS NELORE SUBMETIDAS À INSEMINAÇÃO ARTIFICIAL EM TEMPO FIXO
Authors: Dias Breno Ermenegildo Silva , Oliveira Júnior Jair Sábio de
Published: May 2024

A carne bovina é uma das proteínas mais consumidas no mundo, favorecendo o comércio exterior. O Brasil é um dos grandes exportadores desse produto, o que leva à importância de buscar meios para se obter maior eficiência reprodutiva e produtiva. Dentre esses métodos, o uso de Inseminação Artificial em Tempo Fixo (IATF) vem aumentando e com isso vem a busca por estratégias para alcançar melhores taxas de prenhez. Uma estratégia é avaliar a nutrição do animal em conjunto com a condição corporal. Assim a proposta desse trabalho é verificar a influência do Escore de Condição Corporal (ECC) na taxa de prenhez em vacas Nelore submetidas à IATF. O estudo foi realizado em propriedade particular no município de Cacoal, Rondônia, com 150 vacas da raça Nelore, multíparas, com idade média de 5 anos, submetidas ao manejo de pastejo semi-intensivo. Foram separados dois grupos sendo, grupo A: 75 vacas com escore ≥ 3,0 e grupo B: 75 matrizes com escore ≤2,5. Ambos passaram pelo mesmo protocolo farmacológico, dividido em três etapas (D0, D8 e D10). A inseminação artificial foi realizada no D10 e após 30 dias as vacas dos dois grupos passaram pelo diagnóstico de gestação, por ultrassonografia. Os resultados demonstraram que a taxa de prenhez do grupo A (68%) foi maior que a do grupo B (40%), sendo relevante a preocupação com o ECC de vacas Nelore em protocolos de IATF.
VIOLAÇÃO DE GARANTIAS CONSTITUCIONAIS: UMA ANÁLISE JURÍDICO-SOCIAL DA OBRA QUARTO DE DESPEJO DE CAROLINA MARIA DE JESUS
Authors: Oliveira Artemara Lorena Silva de , Mourão Rosália Maria Carvalho
Published: May 2024

Considerando que a análise jurídico-social da obra “Quarto de Despejo”, de Carolina Maria de Jesus, tem importante relevância social por retratar as vulnerabilidades sociais vivenciadas pela autora, buscando a sobrevivência diária na favela do Canindé, e por outros moradores que também sofreram com a exclusão social. Essa obra autobiográfica permite conhecer e analisar as vulnerabilidades sociais enfrentadas pelos indivíduos pertencentes às camadas marginalizadas da sociedade, semelhante ao que acontece atualmente no país. Este estudo analisa como a obra de Carolina de Jesus evidencia as violações de garantias constitucionais, e como essas questões persistem e são (re)interpretadas na contemporaneidade à luz da Constituição Federal de 1988. Para tanto, foi necessário comparar o contexto histórico-social da obra “Quarto de Despejo” (1960) e a atualidade, estabelecendo conexões entre a análise da obra e as teorias e conceitos jurídicos pertinentes. Realizou-se então, uma pesquisa documental e bibliográfica. Diante disso, verificou-se que há violações de garantias constitucionais no contexto histórico da década de 50, como também na contemporaneidade. Além disso, também existe o (des)compromisso governamental com as políticas públicas, onde foi possível concluir que há violações das garantias constitucionais na sociedade década de 50 e na sociedade atual, a luz da Constituição Federal de 1988.
COLABORAÇÃO DIGITAL: CONSTRUINDO COMUNIDADES DE APRENDIZADO COM AS TICS: POTENCIALIZANDO A EDUCAÇÃO COLABORATIVA ATRAVÉS DAS TECNOLOGIAS DIGITAIS
Authors: Damasceno Maria das Graças de Aguiar , Santos Andreza de Oliveira Franco , Silva Everton Marques da , Corrêa Jamir Adolfo , Andrade Filho Marcos Antonio Soares de , Silva Rivaldo Ferreira da
Published: May 2024

No cenário educacional contemporâneo, a colaboração digital emerge como um pilar fundamental para transformar e enriquecer os processos de ensino-aprendizagem. Este paper destaca a importância das Tecnologias da Informação e Comunicação (TICs) na promoção da colaboração digital e na reformulação dos currículos educacionais. Ao integrar as TICs, facilitamos a criação de comunidades de aprendizado interativas, transcendendo os métodos tradicionais de ensino. Examinar como plataformas digitais e ferramentas colaborativas não só fomentam a interatividade e a construção coletiva do conhecimento, mas também como podem ser incorporadas nos currículos. Enfatizar os benefícios de um ambiente educativo mais colaborativo e inclusivo, como também os desafios de adaptar os currículos para incluir competências digitais. Este estudo visa demonstrar que a integração das TICs no currículo e no processo educativo enriquece a experiência de aprendizagem, adaptando-a às exigências do século XXI e preparando os alunos para um futuro digital, com jogos online colaborativos e plataformas digitais.
PEMANTAUAN KEBOCORAN GAS DAN PANAS UDARA DENGAN METODE FUZZY BERBASISKAN IOT
Authors: Wicaksana Dinar Anggit , Hirzan Alauddin Maulana
Published: May 2024

The fuel commonly used by people for daily needs is Liquefied Petroleum Gas (LPG). LPG leaks can occur in closed spaces with temperatures above 30℃ because they contain very dangerous propane and butane compounds. If there is no early warning, the gas cylinder can expode and cause a major fire. The proposed model is capable of displaying gas concentrations and air heat (temperature and humidity) and reporting via telegram using the fuzzy mamdani algorithm. The aim of the research is to design a model for monitoring gas leaks and air heat. The sensors used in this system are tehe MQ6 sensor for gas detection, DHT22 for temperature and humidity detection, fire sensor, and nodeMCU as an Internet of Things-based processor using the fuzzy logic method. This system will turn on fan, buzzr and send a warning to telegram automatically when conditions are unsafe and dangerous. The conclusion of the research is that buzzer warning and telegram notifications make it easier for users to identify gas leaks so they can take immediate action
Ondes électromagnétiques 2
Authors: Favennec Pierre-Noël
Published: May 2024

Ondes électromagnétiques 2 est consacré aux antennes dans le domaine des ondes radioélectriques. Il analyse les conditions d’utilisation et les paramètres nécessaires à l’obtention d’une antenne efficace. Cet ouvrage rappelle les définitions, la règlementation et les équations fondamentales en matière d’antennes et décrit les diverses formes d’antennes utilisables en radio : cornets, guides, lignes coaxiales, antennes imprimées et miniatures. Il présente les méthodes de caractérisation et les bilans de liaison ainsi que les méthodes numériques qui permettent de calculer finement les antennes radio. Destiné aux étudiants et ingénieurs, il apporte un support théorique indispensable à la conception et au déploiement des systèmes de communication radioélectrique et optique non filaires.
Simulations of the impact of cloud condensation nuclei and ice-nucleating particles perturbations on the microphysics and radar reflectivity factor of stratiform mixed-phase clouds
Authors: Lee Junghwa , Seifert Patric , Hashino Tempei , Maahn Maximilian , Senf Fabian , Knoth Oswald
Published: May 2024

Abstract. In this research, we delve into the influence of cloud condensation nuclei (CCN) and ice-nucleating particle (INP) concentrations on the morphology and abundance of ice particles in mixed-phase clouds, emphasizing the consequential impact of ice particle shape, number, and size on cloud dynamics and microphysics. Leveraging the synergy of the Advanced Microphysics Prediction System (AMPS) and the Kinematic Driver (KiD) model, we conducted simulations to capture cloud microphysics across diverse CCN and INP concentrations. The Passive and Active Microwave radiative TRAnsfer (PAMTRA) radar forward simulator further augmented our study, offering insights into how the concentrations of CCN and INPs affect radar reflectivities. Our experimental framework encompassed CCN concentrations ranging from 10 to 5000 cm−3 and INP concentrations from 0.001 to 10 L−1. Central to our findings is the observation that higher INP concentrations yield smaller ice particles, while an increase in CCN concentrations leads to a subtle growth in their dimensions. Consistent with existing literature, our results spotlight oblate-like crystals as dominant between temperatures of −20 and −16 °C. Notably, high-INP scenarios unveiled a significant prevalence of irregular polycrystals. The aspect ratio (AR) of ice particles exhibited a decline with the rise in both CCN and INP concentrations, highlighting the nuanced interrelation between CCN levels and ice particle shape, especially its ramifications on the riming mechanism. The forward-simulated radar reflectivities, spanning from −11.83 dBZ (low INP, 0.001 L−1) to 4.65 dBZ (high INP, 10 L−1), elucidate the complex dynamics between CCN and INPs in determining mixed-phase cloud characteristics. Comparable differences in radar reflectivity were also reported from observational studies of stratiform mixed-phase clouds in contrasting aerosol environments. Our meticulous analysis of KiD-AMPS simulation outputs, coupled with insights into aerosol-driven microphysical changes, thus underscores the significance of this study in refining our ability to understand and interpret observations and climate projections.
A Community Partnership Approach to Digital Literacy Training for Older Adults Between Public Libraries and Seniors’ Organizations
Authors: Elgamal Raghad , La Rose Tara , Detlor Brian , Julien Heidi , Serenko Alexander
Published: May 2024

This study investigates a community partnership approach between public libraries and seniors’ organizations for older adult digital literacy training. The paper showcases a partnership between a volunteer seniors' organization, two public libraries, and a seniors' centre. Semi-structured interviews with administrators, instructors, and students were analyzed via qualitative thematic analysis techniques. Findings reveal many benefits (e.g., the leveraging of shared resources and tasks; better understanding of seniors’ training needs; better tailoring of the training to meet those needs) and challenges (e.g., the inherent tensions between different organizational structures and ways of working; difficulties establishing a sustainable mode of partnership going forward).
Book review: Ethan Mollick. Co-Intelligence: Living and Working with AI. Portfolio/Penguin, 2024
Authors: Ridley Michael
Published: May 2024

Review of Ethan Mollick's 2024 book 'Co-Intelligence: Living and Working with AI'.
Artrite séptica em criança, diagnosticada e tratada, em um hospital de urgência e emergência, na região amazônica brasileira: Relato de caso
Authors: Lopes Thiago Vaz , Teixeira Laiane Reis , Eller Ana Paula Tupan , Gomes Adenilson Oliveira , Fadel Bruna Meira , Lopes Iara Vaz , Morais João Pedro Pereira de , Rodrigues Tainã Dalila Santos , Santos Carina Ferreira dos , Grillo Vinicius Tadeu Ramos da Silva , Gutzeit Ennely Mendonça , Neto Luiz , Cabanillas Jose Luis Silverio , Casseb Felipe Junior Santos , Tabosa Paulo Roberto
Published: May 2024

A artrite séptica aguda em crianças geralmente é hematogênica, são mais comum em meninos e afeta mais frequentemente as grandes articulações do membro inferior. Esta doença é uma emergência ortopédica. Um atraso em diagnóstico e tratamento inadequado pode resultar em danos devastadores para o paciente, juntamente com a incapacidade vitalícia como consequência. A apresentação clínica pode ser um desafio diagnóstico, especialmente em crianças pequenas. Objetivou-se assim relatar um caso de diagnóstico e tratamento em criança com artrite séptica que evoluiu com a complicação de endocardite infecciosa, em criança com diagnóstico prévio de transtorno de espectro autista. Em conclusão, foi possível o diagnóstico e tratamento da artrite assim como o da endocardite.
Bruxismo em crianças com Síndrome de Down: Revisão de literatura
Authors: Rodrigues Carolina , Oliveira Elild Lais da Silva
Published: May 2024

Este trabalho tem como objetivo compreender a correlação do bruxismo e crianças com Síndrome de Down, realizando uma revisão de literatura através de artigos selecionados e ricos em conteúdo sobre crianças portadoras da síndrome de Down, bruxismo, suas causas e características, consequências e tratamentos. Para a realização deste trabalho foram utilizados 25 artigos, extraídos das bases de dados: BVS; PubMed, SCIELO e Google Scholar. A síndrome de Down, nos dias atuais, é a principal causa de deficiência intelectual na população. Se trata de uma alteração genética e não existe cura, mas seu diagnóstico pode ser feito antes e depois do nascimento, através de exames. Portadores da síndrome de Down possuem características bem específicas, como na face e no intelecto. Algumas alterações culminam em outras, como o bruxismo, que tem um domínio maior em crianças com síndrome de Down, já que eles apresentam características como subdesenvolvimento do sistema nervoso central, entre outros aspectos. Essa atividade parafuncional traz como característica o hábito de ranger ou apertar os dentes, causando como consequência os desgastes dentários e podendo até mesmo deflagrar o desalinhamento da ATM (articulação temporomandibular) com a movimentação frequente da articulação e nos músculos mastigatórios. O bruxismo é mais comumente no período noturno na maior parte da população, mas em pacientes com síndrome de Down, essa alteração tem predominância no período de vigília.  Concluímos que o bruxismo tem uma maior prevalência em crianças com síndrome de Down por diversos fatores fisiológicos e psicológicos, como ansiedade crônica, deficiência imunológica, má oclusão da arcada superior e inferior causando a alteração no posicionamento dos dentes e estimulação sensorial auditiva, entre outros. Como tratamento odontológico principal é utilizado as placas de resina acrílica, que atuam protegendo os dentes do desgaste e amortecendo o atrito das duas arcadas. Além das placas protetoras, o tratamento conta com uma equipe multidisciplinar, envolvendo psicólogos, pediatras e odontopediatras.