bluuebunny/crossref_metadata_2025 huggingface dataset:
Industrial Buying Behavior and Supplier Relationship Process in Industrial Markets
Authors: Karaman Ali
Published: February 2025

This chapter explains industrial purchasing behavior, digital supply and online purchasing, and the supplier relationship process of firms operating in the industrial market environment. Industrial buyers include individuals who purchase goods and services for businesses, government agencies and other institutions and organizations that produce goods or services. The industrial purchasing process varies according to the type of purchase (Straight Rebuy, Modified Rebuy, and New Task Purchase). Moreover, the industrial buying process is influenced by the roles, individual behaviors and influence capacities of the actors involved in the buying center. The buying process can be seen as a series of six-stage activities consisting of identifying organizational needs, creating need-oriented specifications, receiving offers from suppliers, evaluation of suppliers, supplier selection, buying negotiations, and post-purchase evaluation. In the industrial procurement process, good and positive relations between the supplier company and the buyer company are important meeting organizational needs
The Fusion of Academia and Industry via Cloud Integration in Education
Authors: Mehta Pradnya Samit , Doshi Sawani Tarkeshwar , Butle Sanika Naresh , Inamdar Shrutee Chandrakant , Shinde Sakshi Dasharath
Published: February 2025

The integration of academia and industry through cloud integration is transforming the educational landscape, revolutionizing the way customized learning experiences and adaptive systems are created. The proposed system delves various ways in which cloud technologies bridge the divide between theoretical knowledge and practical applications, enabling a dynamic and student-centered approach to education. Through the analysis of different case studies and technological frameworks, system emphasizes the potential for personalized learning paths, real-time feedback mechanisms, and scalable educational resources that cater to the diverse needs of learners. This integration not only enriches the learning experience but also equips students with industry-relevant skills, preparing them for real-world challenges. The primary objective of this chapter is to provide a comprehensive overview of the integration of academia and industry through cloud-based technologies in education. It will aim to analyze the concept of customized learning and adaptive systems.
Blockchain-Enhanced GAN Image Encryption Scheme for Cloud Computing
Authors: Raghu N. , Bhat Ranjith
Published: February 2025

Ensuring the security of sensitive image data has become of utmost importance in the field of cloud computing. Conventional encryption techniques frequently fail to adequately address changing threats, requiring the use of novel technologies. This study investigates the use of blockchain technology and generative adversarial networks (GANs) for the purpose of encrypting images, with the goal of improving the security and confidentiality of data in cloud environments. The suggested approach uses blockchain technology for the purpose of ensuring safe key management and verification. GANs are employed to produce encrypted images that possess a high level of realism. This research shows that the proposed approach is highly effective in preserving and maintaining higher image quality compared to existing encryption frameworks. This inference is based on careful experimentation and analysis. The proposed method demonstrates superior performance in generating clear and accurate reconstructions of encrypted images, as seen by much higher peak signal-to-noise ratio (PSNR) values and structural similarity index (SSIM) scores. This helps to reduce the chances of unauthorised access and tampering. Moreover, the incorporation of blockchain technology provides an extra level of security and confidence, guaranteeing the secure handling of cryptographic keys and the unalterable verification of encrypted photos. The results highlight the possibility of combining blockchain and GAN to provide a strong solution for protecting sensitive image data in cloud computing environments. This lays the foundation for future progress in image encryption and data security.
Biotechnology and Genetic Engineering
Authors: Lazim Nurul Asmak Md , Nazir Nurain Mohd
Published: February 2025

Biotechnology is in the vanguard of scientific advancement, consistently pushing the envelope and influencing the direction of environmental sustainability, agriculture, and healthcare in the future while genetic engineering is modifying an organism's genetic makeup, creating a wealth of opportunities for advancing agricultural output, addressing environmental issues, and promoting human health. With the potential to completely change the way genetic illnesses are treated; this ground-breaking technique gives patients with few alternatives in the past hope. Artificial intelligence (AI) is the replication of human intelligence in machines built to think and learn like people. Research on genetic engineering and gene treatment as well as biotechnology can greatly benefit from AI. In this chapter, the authors will examine the most recent developments in genetic engineering, biotechnology, and artificial intelligence (AI), as well as their possible uses, moral implications, and their promising futures.
Innovative Research and Future Directions
Authors: Choudhury Swarnali Nath , Gohain Mukut
Published: February 2025

The chapter on “Innovative Research and Future Directions: Bridging Tradition with Modern Science with Special Reference to Northeastern India” explores the dynamic interplay between traditional knowledge systems and contemporary scientific methodologies in the realm of natural product research. Focused on the context of Northeast India, a region renowned for its rich biodiversity and cultural heritage, this chapter delves into the evolving landscape of research and development, highlighting key trends, challenges, and opportunities. Beginning with an exploration of how traditional wisdom informs modern scientific inquiry, the chapter elucidates the complementary nature of indigenous practices and scientific methodologies in uncovering the therapeutic potential of natural products. Through a multidisciplinary approach encompassing phytochemical analysis, bioassays, and genomic studies, researchers have made significant strides in elucidating the biochemical mechanisms underlying the efficacy of traditional remedies.
Optimization of Performance Analysis of IoT-Based Temperature Monitoring Box Type Solar Cooker
Authors: Tiwari Amit , Jain Ritu , Swarnkar Harshita
Published: February 2025

The purpose of this book chapter is to investigate how a (NSGA-II) multi-objective genetic algorithm might be utilized to optimize the execution of an Internet of Things (IoT) temperature monitoring Box-Type Solar Cooker (BTSC). To determine the best set of output parameters for an IoT temperature monitoring box-type solar cooker, (NSGA-II) multi-objective genetic algorithm are used to perform optimizations of the Figureure of merits (F2), cooking power, cooker efficiency, and final water temperature. The present research work involved the development of a Wi-Fi module system integrated with a smart temperature monitoring system for a BTSC. We compare the values of the response variables that were gathered experimentally with the values that were predicted by NSGA-II. The predicted values are found to be quite close to the experimental values. This indicates that the multi-objective optimization method, as used in this study, has very good prediction performance. According to the findings of the experiment, the temperature at which a cooking pot remained stagnant on average was 158°C. It was determined that the cooker was of class A based on the values of the first Figureure of merit (F1), the second Figureure of merit (F2), and the cooking power (P), which were respectively 0.132, 0.359, and 86.108 W. Therefore, the thermal efficiency of the IoT-base temperature monitoring box type solar cooker is 39.99%. Optimize the performance of IoT-based BTSC by providing real-time monitoring and data visualization, ultimately improving their efficiency and reliability. This research provides an educational tool to promote awareness and understanding of renewable energy sources and their potential benefits.
Social Innovation
Authors: Ramachandran Ramakrishnan , Pillai Sruthi
Published: February 2025

This chapter examines the critical role of social innovation in advancing societal well-being through R&D. It begins by defining social innovation and its significance in solving pressing global challenges. It highlights the key drivers of social innovation, including increased public awareness, shifting values, and technological advancements, while contrasting it with traditional CSR. Through various case studies, the article illustrates how R&D fosters innovative solutions across Healthcare, Education, and Sustainability, emphasizing the importance of collaboration among stakeholders. It also explores the future of social innovation, focusing on 3D printing, blockchain, artificial intelligence and other emerging technologies. However, the article acknowledges the ethical, social, and economic challenges that accompany these advancements and proposes strategies to overcome them. Ultimately, the article underscores the necessity of a supportive policy environment and responsible governance to maximize the impact of social innovation, ensuring that it benefits all segments of society.
The Use of Artificial Neural Networks in Biomedical Engineering
Authors: Banerjee Debasish , Barua Ranjit , Datta Sudipto , Pathote Dileep
Published: February 2025

Artificial Neural Networks (ANNs) have brought a great advance in biomedical engineering with their enhanced features in data analysis, pattern recognition, and data modeling systems. Taking advantage of the computational capabilities of ANNs, scientists and engineers have designed new approaches to address some of the most difficult tasks in medicine, such as the diagnosis of diseases, the selection of appropriate treatment regimes, and the establishment of personalized medicine. Advanced numerical neural networks effectively manage diverse, high-dimensional biomedical research data like imaging data or sequences and physiological signals and can provide timely and accurate decisions. This chapter aims to cover the background, the opportunity, and the advancement of the ANNs in biomedical engineering and specifically how this field has and will continue to impact the future of healthcare technology.
Advanced Neural Network Architectures for Image Processing in Medical Diagnostics
Authors: Kaur Mandeep
Published: February 2025

The applications of higher-level neural network structures in medical diagnosis have significantly changed image analysis in medicamente, providing unmatched accuracy and speed of disease diagnosis and classification. This chapter provides updated knowledge of advanced neural network models, CNN, GAN, U-net models are best suited for different imaging like MRI, CT, X-ray. The findings of a literature survey are presented with focus on major contributions and open issues such as data confidentiality, model understanding, and the lack of big annotated collections. Introducing various methodological approaches for tuning neural networks for medical diagnostics, an assessment is provided of the compliance of their performance indicators with critical parameters. Knowledge and perspectives discussed in this chapter help to enhance knowledge of a reader and reveal opportunities of the artificial intelligence application for the further enhancement of the healthcare sector through enhanced image processing.
Advanced LSTM Neural Networks for Predicting Hospital Readmissions in Diabetic Patients
Authors: Khekare Ganesh , Dasarwar Priya , Phulre Ajay Kumar , Khekare Urvashi , Ameta Gaurav Kumar , Gupta Shashi Kant
Published: February 2025

The development of the predictive model for forecasting hospital readmissions among diabetic patients represents a remarkable footstep in applying machine learning techniques. These are responsible for enhancing healthcare delivery. Ethical considerations, such as transparent judgment and bias monitoring, must be precisely addressed to uphold fairness and convince the therapist. The proposed model utilizes Long Short-Term Memory (LSTM) neural networks. The model has indicated a magnificent accuracy rate of 83% during pilot testing, this development results in a 39% reduction in the 30-day readmission rate with cost effective and enhanced diagnosis solutions. Ongoing research efforts should enhance model interpretability, explore new data sources, and maintain relevance through evolving architectures and methodologies. By addressing these multifaceted challenges through a comprehensive and iterative approach, this predictive model can potentially revolutionize chronic illness management, leading to improved patient outcomes and reduced operational costs within healthcare systems.
An Air Quality Forecasting Using the Artificial Neural Network in India
Authors: Jarin T. , Xavier Shine P. , Muniraj R. , Sreeja P. , Li Shuai , Arthi M.
Published: February 2025

Accurate and efficient forecasting of the air quality index (AQI) is adequate to improve public health and supporting societal sustainability, despite the challenges posed by air pollution .In this work presents the importance of accurate AQI predictions using the machine learning (ML) approach called Artificial Neural Network (ANN) for improving public health outcomes. Optimized variational mode decomposition (O-VMD) is used for decomposing the AQI samples into various set of samples. The optimal process is demonstrated by the chameleon optimization (CO). The suggested O-VMD improves the ability of the model in capturing complex features. Then, the ANN is used for predicting AQI on the basis of the decomposed elements on two AQI datasets. The suggested O-VMD-ANN demonstrated improved prediction performance compared to other ML model and provided better process for proactive air quality controlling and public health protection in India.
Emerging Technologies in Education
Authors: Fuentes-Penna Alejandro , Gómez-Cárdenas Raúl , Aguilar Anayeli Silva , Barrera-Cámara Ricardo A. , Castro-Rascón Aristeo , Hernández González Oscar D.
Published: February 2025

Emerging Technologies are becoming a reality and education has been involved in the process of adapting these technologies: Gamification, Mobile Learning, Augmented Reality, Virtual Reality, Artificial Intelligence, Internet of Things, etc., that have adapted to current conditions to improve the quality of teaching and learning, as well as to prepare students for an increasingly digitized world. This chapter identifies the impact of Artificial Intelligence, based on a search for advances achieved in the improvement of the different processes that make up and the contributions to personalizing learning, daily teaching activities, educational administration, among others. The potential risks of emerging technologies risks in the digital preparation of students, privacy of personal data and teachers' fears that may inhibit their adoption in schools. The objective is to analyze the potential of emerging technologies in education to identify their benefits. A contrast should be made between the methodologies available in the literature, to evaluate strengths and weaknesses.
Inclusion and Accessibility in Smart Education
Authors: Barrera-Cámara Ricardo A. , Fuentes-Penna Alejandro , Loranca Maria Beatriz Bernábe
Published: February 2025

A wide variety of tools have been developed to support education. However, not everyone can access or use these tools, thus limiting their educational opportunities. In this sense, inclusion and accessibility play a transcendental role in guaranteeing equitable access to education and eliminating the barriers that prevent it. The objective of this document is to analyze and present inclusive and accessible technologies, educational and technological strategies that support the overcoming of digital barriers. The method involves the specification, search, selection, and classification of jobs, technologies, and strategies. A list of tools, technologies, and strategies that support inclusion and accessibility in smart education is provided. Access to and use of these tools are closely linked to the development of policies and strategies in each country, as well as to the commitment of nations to their development and the achievement of the Sustainable Development Goals.
Hype vs. Reality
Authors: Ayyalasomayajula Madan Mohan Tito
Published: February 2025

Big Data has been glorified for its promise of transformation by different industries, an opportunity to innovate, and a period of unprecedented growth in various sectors stretching from healthcare to retail to manufacturing and finance. The promise of big data brings with it high hopes for innovative solutions to old challenges. The enterprises expected Big Data to help derive insights with which they could set market trends, personalize customer experiences, optimize operations, and make decisions with data at the operational core with unparalleled precision. Expectations built around these ambitions are fundamentally based on the notion that the vast amounts of data generated daily can be deployed using advanced analytics and artificial intelligence technologies. The goal of this chapter is to provide readers with a realistic understanding of Big Data projects: what they can achieve, why they sometimes fail, and how organizations can recalibrate their expectations to ensure greater success.
Transformative Impacts of Automation and Digitization in the Indian Automotive Sector
Authors: Thakran Archana , Rathore Randhir , Sanghi Nikunj
Published: February 2025

The chapter explains the dynamics of robotics in automotive corporations in India in the framework of the fourth industrial revolution. It discusses how players such as Maruti Suzuki, Hyundai Motor India, and Mahindra & Mahindra are utilizing robotics, IoT AI, and IoT and upskilling solutions to enhance their production line effectiveness, compound quality, and competitiveness. The present trends indicate that such technologies are already being used in production, logistics, and human capital. It also addresses concerns such as cybersecurity threats, technologies, and environments through the issuance of strategies and policies to tackle these concerns. Understanding the trends from the current/near past towards the future, this chapter explains how the automotive industry in India is experiencing automation and digitization towards sustainability and leadership.
From Convenience to Sustainability
Authors: Haneefa K. V. , Singh Harmandeep
Published: February 2025

The concept of quick commerce, characterised by its promise of near-instant gratification through delivering goods and services within remarkably short time frames, has set new benchmarks for consumer expectations. However, this convenience often comes at an environmental cost, ranging from increased carbon emissions to excessive packaging waste. In this context, this paper aims to explore the sustainability of quick commerce in India, examining its business models and evaluating its impacts through the lens of the three pillars of sustainability: economic, social, and environmental. This research aims to provide a comprehensive overview of quick commerce, evaluate its viability and sustainability in India using case studies, and offer strategic suggestions to balance this sector's rapid growth with responsible business practices. Given the urgency of the sustainability issue in the quick commerce sector, this paper contributes to the ongoing discourse on how emerging business trends can align with sustainable development goals by providing a holistic view of quick commerce in India.
Eco-Tourism as a Strategy for a Green and Sustainable Economy
Authors: Naaz Roohi , Agarwal Shipra , Rawal Tanya
Published: February 2025

Ecotourism is a form of responsible travel to natural areas that conserves the environment, sustains the well-being of the local people, and involves interpretation and education. It aims to minimize the impact of tourism on the environment and to promote conservation efforts. Uttarakhand in its own is an ancient, unique, and charming destination for national as well as international tourists. There are many holiday resorts facilitating fishing, trekking and sailing. The hills of Uttarakhand are gradually but steadily turning into a tourist and pilgrim's paradise. There is lot for tourists to experience the thrill of autumn festival.nce ecotourism is a great step ahead to national areas to safeguard the integrity of ecosystem as well as to bring financial benefits to local population and benefits in conservation. This paper proposes to study the scope of ecotourism in the state of Uttarakhand and its sustainable impact on the growth and economic development of this state and its growing population. It also aims to investigate strategies towards green economy.
Forging Sustainable Futures
Authors: Sahu Ramesh Kumar , Lodhi Sumaira , Jamshed Khadija
Published: February 2025

The potential of ecotourism as a driver of sustainable development, promotion of harmony and fostering mutual understanding between India & Pakistan is examined in this study. Both countries share a rich natural resources, cultural legacy and biodiversity despite historical and geopolitical strains, which can be harnessed for mutual benefit and offer potential openings through collective Eco-projects. Based on extensive analysis of case studies & literature, study assesses the benefits of ecotourism for the nature and society at large. Additionally, it evaluates the frameworks for current policies & pinpoints barriers to the growth in the area. The study offers strategic references to stimulate cross-border support & optimize mutative potential in creating sustainable futures for both nations, by showcasing fruitful efforts & lessons learned from worldwide contexts. In the end, this exploration improves our expertise of how ecotourism might promote peace, strengthen Eco-conservation initiatives, and propel equitable socioeconomic growth in conflict-prone areas like India and Pakistan
Monitoring System for Tobacco Drying Machine Using IoT Technology
Authors: Putra Nugraha Bernadus Christian Petra , Widjaja Damar
Published: February 2025

Tobacco is one of the most widely cultivated plants in Indonesia, especially in highland areas. Conventional tobacco drying process relies on solar heat. The biggest problem in drying using the sun is erratic weather and also in highland areas, the chance of rainfall is also high. Monitoring system of tobacco drying machines using Internet of Things (IoT) technology is the answer to the problems that occur. By utilizing IoT technology, this tobacco drying machine can be monitored remotely using smartphone or other mobile device. Monitoring that can be done remotely is temperature inside the drying machine, the weight of tobacco during drying, and also On Off state of the drying machine. In this study, monitoring system for tobacco drying machines uses a BUS topology that connects several Arduino nanoas a slave and Arduino mega 2560 as a master. Arduino nanoplays a role in controlling the DS18B20 temperature sensor, load cell, heater relay, and fan relay. Arduino mega as a master acts as a data processing center and main control in the monitoring system of the temabkau drying machine. ESP8266 is used to connect to the internet using wifi. There is simple Blynk application on smartphone as an IoT platform. After some testing done, it turns out that tobacco drying machine has good performance in terms of tobacco weight reduction, down to to 29,97% (load cell) and 30,56% (digital scales). However, internal machine temperature during drying process only reach 42,75° C. Data transmission delay from the serial monitor to Blynk IoT Platform has a poor value based on TIPHON standardization, which is 1.4 seconds. However, data error rate between serial monitor and Blynk is very small, 0,099% for load cell data and 0,28% for temperature sensor data.
Analysis of the Effect of Fin Material on Temperature Distribution in Rectangular Cross-Sectional Straight Fins
Authors: Seen Michael , Astyanto Achilleus , Pratama Christian
Published: February 2025

The design of fins needs to be optimized to ensure effective heat transfer or dissipation from the engine to the surrounding air. The choice of material for the fins is crucial to facilitate unhindered heat dissipation from the fins to the environment. This study employed a numerical simulation using the finite difference method to analyze the temperature distribution within various sections of the fins. The calculations were performed from the transient state until a steady state was achieved. The findings indicate that the fin material significantly impacts the temperature distribution across different sections of the fin. Heat propagation in the fin is predominantly through conduction, thus the thermal conductivity of the material substantially affects the temperature distribution along the fin. Fins made from conductive materials exhibit higher temperature changes over time intervals and reach a steady state more rapidly. Conversely, fins made from less conductive materials fail to transfer heat efficiently to the fin's end, resulting in a higher temperature difference between the base and the tip and a longer time to reach a steady state.
Non-Linear Sensor Measurement Technique Using Ivan Newton Interpolation (INI)
Authors: Goenawan Stephanus Ivan
Published: February 2025

This research is an invention of a non-linear sensor measurement process with a non-linear interpolation technique using a method with the Goen constant equation. This invention is not a linearization technique, so a comparison signal technique is not needed from the output of the non-linear sensor. Therefore, the advantage of this technique without a comparison signal is that it is more responsive. In addition, the costs incurred are cheaper because if the non-linear sensor uses a linearization technique, it will require additional electronic devices to support the use of the comparison signal technique. Two-way non-linear sensor measurements can be done simply using one-way measurement techniques using Ivan Newton Interpolation (INI). There are two non-linear sensor measurement process techniques. The first technique measures conditions outside the sensor that are non-linearly correlated to the sensor's characteristic values. The second technique measures sensor characteristic values non-linearly correlated to the condition values outside the sensor. This second technique can be done indirectly using the trial and error (TE) interpolation technique. The non-linear sensor measurement technique using INI will produce a two-way non-linear correlation between the conditions outside the sensor and the sensor characteristic values. This measurement technique will produce a non-linear correlation, so a comparison technique is unnecessary for the linearization process. The output response results from the non-linear sensor measurement process technique with INI can be more responsive when used as a control sensor. More responsive when compared to non-linear sensors using linearization techniques. This can happen because the linearization technique requires a slope comparison process using a comparison signal first.
Comparison of Fresh Water and Salt Production of Seawater Desalination Using Gas Stoves and Induction Stoves
Authors: Sampebatu Limbran , Kamolan Aries
Published: February 2025

This study investigates household-scale seawater desalination to address freshwater shortages, particularly in coastal areas or during emergencies. The process involves heating seawater to evaporate it and then condensing the vapor into freshwater. The research compares the efficiency of pure water and salt production from seawater desalination using two heating methods which is gas stoves and induction stoves. Gas stoves which use fossil fuel combustion and induction stoves which use electromagnetic fields to generate heat have different characteristics and efficiencies in the desalination process. After the heating, the seawater then cooling down by using 3 different speed of fan speed.This study evaluates the differences in the amount of pure water and salt produced by these two methods, considering factors such as energy consumption and operational costs. The results of this research are expected to provide useful insights for selecting more efficient and economical heating methods in the seawater desalination process.The results indicate that freshwater production is higher when using an induction stove compared to a gas stove. Freshwater production at low fan speeds yielded 157 g/hour on an induction stove with 600 W power and 147 g/hour on a gas stove with equivalent power of 658.75 W; 168 g/hour on an induction stove with 600 W power and 88 g/hour on a gas stove with equivalent power of 632.92 W; and 153 g/hour on an induction stove with 600 W power and 105 g/hour on a gas stove with equivalent power of 646.58 W. The heating with an induction stove produces more freshwater compared to heating with a gas stove due to its Energy Efficiency, Precise Temperature Control, Heating Speed, Reduced Heat Loss which is better than gas stove.In terms of salt production, both induction and gas stoves produced nearly identical amounts of salt: 34 g/liter on the induction stove and 36 g/liter on the gas stove at low fan speeds; 36 g/liter on the induction stove and 34 g/liter on the gas stove at medium fan speeds; and 34 g/liter on the induction stove and 36 g/liter on the gas stove at high fan speeds. The power required to produce 1 gram of freshwater at low fan speed was 3.57 watts for the induction stove and 7.18 watts for the gas stove; at high fan speed, it needs 3.92 watts for the induction stove and 6.15 watts for the gas stove. Therefore, it can be concluded that the power consumption for the induction stove is significantly lower than that for the gas stove to produce 1 gram of freshwater.
Modification of Rubber Waste - Crepe Rubber Type into Rubberized Asphalt
Authors: Ayucitra Aning , Hindarso Herman , Gunarto Chintya , Epriliati Indah , Sari Dewi Dian Retno , Setyo Budi Gogot , Alexandria Edward , Salantua Dova Novi , Liliani Liliani
Published: February 2025

The development of road infrastructure in Indonesia is increasing rapidly to keep pace with the growth in the number of vehicles. However, this progress has caused problems with the structure and pavement of roads that are unfavorable. The current situation of road infrastructure is not in accordance with the planned service life due to the problem of overloading and volume of vehicles and erratic tropical climate. The solution to overcome these problems is to improve the quality of asphalt used through modification of conventional asphalt. One of the modification that can be made is the addition of rubber polymers to the conventional asphalt mixture. Various types of rubber can be used for modifications that can improve the mechanical properties of asphalt, including crepe rubber. In this study, crepe rubber polymers from the thick rubber gloves industry waste of PT. Sumber Lancar Cemerlang (PT. SLC) were used to modify conventional asphalt. This rubber waste is in the form of unused rubber scraps as much as 15% of the initial raw material for crepe rubber in the form of sheets. The accumulated amount of crepe rubber waste produced in PT. SLC is 3 tons/month, which has not been utilized until now. The problem is that this rubber waste cannot be disposed of directly into landfills due to environmental pollution. One solution to overcome the problem of rubber waste is to process it into useful products and added economic value, namely as an additive for the manufacture of rubber asphalt products. This rubberized asphalt product improves the properties of conventional asphalt products and prolong its lifetime. The modification of rubber asphalt carried out in this study used the addition of crepe rubber polymer from glove industry waste with an additional dose of 7% of the asphalt weight. The results show that rubberized asphalt products was successfully made by cold mix method (mixing between crepe rubber waste, pertasol solvent, asphalt and gravel without heating). Comparison for testing strength and durability was conducted between a mixture made from crepe rubber waste, pertasol and gravel with and without asphalt addition based on SNI and ASTM test standards. The specifications of rubber asphalt products meet SNI and ASTM test standards. The test results of rubberized asphalt products in the real environment of the PT SLC area show that rubberized asphalt products from a mixture of asphalt, waste crepe rubber, pertasol and gravel have better strength and durability than both mixtures without asphalt and conventional asphalt.
Enhancing Employee Performance in Sri Lanka's Hospitality Industry: The Roles of Organizational Culture, Autonomy, and Counselling
Authors: Dangalla D. K. T. , Prabuddha C. , Amarasinghe T. W. G. M. R.
Published: February 2025

The hospitality industry in Sri Lanka is a vital contributor to the economy but faces challenges like high staff turnover, skill gaps, and employee dissatisfaction. This study examines the impact of organizational culture, job autonomy, and counselling on employee performance, focusing on the mediating roles of motivation and organizational commitment. Using a survey of 350 operational-level employees in Colombo city hotels, the research employs quantitative methods, including regression analysis. Findings reveal that job autonomy and counselling significantly enhance employee performance, while organizational culture shows no direct impact. Motivation and organizational commitment mediate the relationships between these variables and performance, highlighting their importance in fostering workforce productivity. These insights provide actionable recommendations for hotel management to improve employee satisfaction and service quality, ultimately strengthening the sector’s sustainability and success. This study enriches literature by addressing performance challenges specific to Sri Lanka’s hospitality industry.
Efficiency and microbial community characteristics of kitchen waste composting with infrared-assisted heating
Authors: Tang Ran , Zhao Mi-Yan , Long Xiang-Yu , Ran Sheng , Chen Yan-Hua , Huang Rui , Xue Ming
Published: February 2025

In this study, a composting reactor with infrared (IR)-assisted heating was set up to promote the composting of urban kitchen waste (KW), in which the green waste (GW) and matured compost were added as amendments. Compared with the reactor without IR-assisted heating (i.e., CK), the thermophilic stage in the reactor with IR-assisted heating (i.e., EG) was extended by 10 d, but the composting period was reduced more than 8 d. When the thermophilic stage in the EG was ended, the seed germination index (GI) of composting materials with the higher N reservation reached 90.95 ± 8.29%，realizing the thermophilic maturation of composting materials. Infrared-assisted heating not only promoted the proliferation of Bacillus and Pseudoxanthomonas in bacteria and Aspergillus and Candida in fungi, which have cellulose and lignocellulose degrading functions, but also increased the diversity of the important bacterial genera with the 3 functions, namely, polymerization of dissolved aromatic compounds, maturation of composting materials and synthesization of Org-N, and enhanced the synergistic effects among these genera. In addition, Thermomyces was a dominant fungal genus with the 3 functions.
Economic assessment of transformation to continuous cover forest management in Estonia
Authors: Kaimre Paavo , Kängsepp Vivika , Sirgmets Risto
Published: February 2025

The discussion surrounding forest management principles, particularly those related to rotation and continuous cover forestry (CCF), has gained considerable momentum in Estonia in recent years. Advocacy for the adoption of selection cuttings over clear-cutting has been prominent. Despite the longstanding practice of continuous cover forest management in Estonia, there is a noticeable absence of economic analyses on this subject. This study aims to investigate pertinent criteria and methodologies for the economic assessment of alternative silvicultural systems. Additionally, we deliberate on the factors influencing the transition from even-aged to uneven-aged forest management.
The profitability of uneven-aged stand management was compared with even-aged forest management using an experimental stand that underwent recent selection cutting. To compute cash flows, stand inventory and removal data, categorised by timber assortments, were utilised to delineate changes in growing stock, timber prices and forest management costs. Net present value (NPV) was employed to assess rotation and continuous cover forest management scenarios.
The calculation results indicate that, in the long term, the NPV of CCF management is relatively similar to even-aged stand management at a 1% interest rate but lower when higher interest rates are applied. Prevailing requirements currently limit the economic attractiveness of transformation from even-aged to uneven-aged stand management. Revising forest management rules is imperative to enhance the profitability of uneven-aged forest management in Estonia. Adjustments to the stand age should be made, enabling selection felling and reducing the required minimum post-cutting basal area.
Keywords: continuous cover forestry; silvicultural systems; selection cutting; economics
Ensino de números naturais e suas operações via Resolução de Problemas: uma análise em livros didáticos
Authors: Lazarini Laís Vitória , Mendes Luiz Otavio Rodrigues , Proença Marcelo Carlos de
Published: February 2025

A pesquisa relatada neste estudo visa evidenciar e analisar situações contextualizadas historicamente que envolvem números naturais e suas operações, presentes em livros didáticos, e apontar seu uso em um ensino via Resolução de Problemas. Utilizando uma metodologia qualitativa e documental, foram analisados dois livros didáticos. Como resultado, apenas uma situação foi considerada adequada para a Resolução de Problemas. Embora haja diversas situações nos livros, poucas apresentam um contexto histórico ou contextualizado, sugerindo a necessidade de os professores reformularem essas situações para que se enquadrem como problemas.
El uso de gases en la hostelería y eventos: aplicaciones y beneficios para una operación eficiente
Authors: Gujer Diana
Published: February 2025

En la industria de la hostelería y eventos, los gases industriales como el nitrógeno, dióxido de carbono (CO2) y óxido nitroso son esenciales para optimizar procesos. Se utilizan en la conservación de alimentos, carbonatación de bebidas, preparación de cócteles moleculares y en equipos de refrigeración. Su correcta selección y manejo mejoran la eficiencia, calidad del servicio y la experiencia del cliente. Empresas especializadas ofrecen soluciones adaptadas a las necesidades de cada negocio.
La publicidad en los remates judiciales: eficiencia y celeridad en los procesos de ejecución
Authors: Purizaca Sandoval Shirley Alicia
Published: February 2025

Este libro analiza la normativa y práctica de los remates judiciales, con especial énfasis en las disposiciones sobre la publicidad establecidas en el artículo 733 del Código Procesal Civil peruano. Desde una perspectiva crítica y jurídica, se desarrollan las problemáticas que derivan de los actuales métodos de publicidad que están alejados de las nuevas tendencias tecnológicas, lo que contribuye a una innecesaria dilación procesal, la nulidad de remates lo que impacta negativamente en la celeridad procesal. La obra destaca la importancia de la publicidad efectiva como insumo necesario para garantizar la transparencia y participación en los remates judiciales, asimismo identifica las limitaciones del marco normativo vigente, que frecuentemente resultan en frustración de los remates o nulidades procesales. Además, se realiza un análisis comparado con sistemas jurídicos de España, Argentina y Colombia, presentando propuestas para mejorar la normativa peruana y reducir los tiempos de ejecución. La metodología utilizada combina el análisis doctrinal y normativo con un enfoque empírico que incluye estudios de caso y estadísticas recientes, permitiendo evaluar el impacto de las disposiciones legales sobre la celeridad y eficacia procesal. Asimismo, se efectúa una propuesta de reforma específica al marco normativo peruano para optimizar el uso de la publicidad en los remates judiciales, buscando garantizar así un equilibrio entre transparencia, acceso y celeridad. Este libro es un recurso esencial para juristas, legisladores y operadores del derecho interesados en la modernización de los procesos de ejecución y en la promoción de un sistema judicial más eficiente y justo.
The Influence of Transformational and Transactional Leadership Styles on Employee Performance (Case Study at PT Perkebunan Nusantara 1 Regional 7, Kedaton District, Bandar Lampung City)
Authors: Nababan Farida , Rinova Dora
Published: February 2025

This study examines the impact of transformational and transactional leadership styles on employee performance at PT Perkebunan Nusantara 1 Regional 7. Employee performance is a crucial factor in achieving organizational goals, and leadership style plays a significant role in shaping motivation and productivity. Using a quantitative approach, data were collected through questionnaires distributed to 80 employees across four divisions. The findings indicate that transformational leadership positively influences employee motivation and engagement, while transactional leadership ensures task completion through structured reward and penalty mechanisms. The study concludes that a combination of both leadership styles leads to optimal employee performance, balancing innovation with efficiency.
Upaya Meningkatkan Perkembangan Motorik Halus Anak Usia Dini Melalui Pelaksanaan Permainan Lego di Tk Ananda Binjai Barat
Authors: Nisa Chairun , Lubis Siti , Alini Neyza , Abelia Anggun , Nasution Elyda , Bantali Ampun
Published: February 2025

Penelitian ini memiliki bertujuan berupa pengidentifikasian serta melakukan penganalisisan mengenai upaya dalam peningkatan perkembangan motorik halus anak usia dini dengan melalui pelaksanaan kegiatabn bermain lego di TK Ananda Binjai Barat. Pendidikan fisik motorik pada anak usia dini sangat penting, terutama pada perkembangan motoric halus mereka untuk membantu mereka serta memudahkan mereka dalam melakukkan seluruh kegiatan sehari-hari nantinya. Pada kegiatan permainan lego yang telah dilaksanakan pada saat jam istirahat ataupun pada saat permainan dikelas ini diharapkan dapat memberikan pengaruh positif terhadap perkembangan mereka terutama pada perkembangan motorik halusnya. Metode yang telah kami gunakan dalam penelitian ini dengan cara melakukkan pendekatan kualitatif dengan proses observasi, wawancara, serta melakukan analisis dokumen. Hasil penelitian ini menunjukkan bahwa pada pelaksanaan kegatan bermain lego ini tidak hanya menunjukkan peningkatkan pada aspek aspek perkembangan motorik halus mereka, tetapi juga memberikan kontribusi pada perkembangan lainnya seperti pada perkembangan sosial, emosional, seni serta moral anak. Dengan demikian, hal ini dapat menjadikan kegiatan pelaksanaan bermain lego dapat menjadi salah satu strategi yang begitu efesien dan efektif dalam pembentukkan perkembangan  motorik anak usia dini.
Pentingnya Deteksi Dini Tumbuh Kembang Anak Usia 0-72 Bulan Untuk Mencegah Gangguan Perkembangan
Authors: Khadijah  , Syatifa Areza , Syahdia Halimatu , Sirait Nabila
Published: February 2025

Penelitian ini bertujuan untuk menggali pemahaman dan pengalaman orang tua serta petugas posyandu mengenai pentingnya deteksi dini tumbuh kembang anak usia 0-72 bulan untuk mencegah gangguan perkembangan. Penelitian ini menggunakan pendekatan kualitatif dengan metode wawancara mendalam dan observasi lapangan yang dilakukan di Posyandu Silindit. Informan penelitian terdiri dari 15 orang tua, 2 petugas kesehatan, dan kader posyandu. Hasil penelitian menunjukkan bahwa meskipun orang tua mulai menyadari pentingnya deteksi dini setelah mendapat penyuluhan di posyandu, pemahaman mereka mengenai tanda-tanda gangguan perkembangan anak masih terbatas. Faktor utama yang mempengaruhi keberhasilan deteksi dini adalah pengetahuan orang tua, aksesibilitas posyandu, dan faktor sosial ekonomi. Posyandu berperan penting dalam memberikan pemeriksaan dan edukasi, namun terbatas oleh kendala sumber daya dan rendahnya partisipasi orang tua. Penelitian ini menyarankan perlunya peningkatan pendidikan bagi orang tua, pelatihan lebih lanjut bagi petugas posyandu, serta perbaikan aksesibilitas untuk meningkatkan keberhasilan deteksi dini dan intervensi terhadap gangguan perkembangan anak.
Penerapan E-Government Melalui SIAKBA Dalam Administrasi Petugas Badan Ad Hoc Persiapan Pemilihan Kepala Daerah 2024 di KPU Kabupaten Sidoarjo
Authors: Putri Amanda Aditya , M. Agus Muljanto
Published: February 2025

Digitalisasi telah merambah ke berbagai aspek kehidupan, termasuk pemerintahan, melalui penerapan teknologi informasi untuk meningkatkan efisiensi dan transparansi. Komisi Pemilihan Umum (KPU) Kabupaten Sidoarjo mengadopsi Sistem Informasi Anggota KPU dan Badan Ad Hoc (SIAKBA) sebagai bagian dari e-government dalam proses rekrutmen dan pengelolaan Badan Ad Hoc. Penelitian ini bertujuan menganalisis penerapan SIAKBA dalam mendukung administrasi petugas Badan Ad Hoc pada persiapan Pemilihan Kepala Daerah (Pilkada) 2024 di Kabupaten Sidoarjo. Dengan menggunakan teori e-government dari Richardus Eko Indrajit, penelitian ini mengevaluasi enam komponen utama: pengembangan konten, peningkatan kompetensi sumber daya manusia, konektivitas infrastruktur, hukum siber, antarmuka masyarakat, dan pola permodalan. Hasil analisis menunjukkan bahwa SIAKBA mampu meningkatkan efisiensi administrasi, akurasi data, dan aksesibilitas informasi, meskipun masih terdapat kendala teknis seperti keterbatasan perangkat keras, kompetensi SDM, dan anggaran. Penelitian ini merekomendasikan penguatan infrastruktur, pelatihan berkelanjutan, peningkatan keterlibatan masyarakat, dan alokasi dana yang lebih memadai untuk mengoptimalkan implementasi SIAKBA.