bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of the supply and quality of broiler chicken diets from selected feed mills in Tanzania
Authors: Chang'a Edwin Peter , Ahiwe Emmanuel Uchenna , Abdallh Medani Eldow , Al-Qahtani Mohamed , Mbaga Said , Iji Paul Ade
Published: May 2024

A study was conducted to evaluate the supply and nutrient composition of broiler feeds from selected feed millers in the Morogoro, Pwani, and Dar es Salaam regions of Tanzania. Nineteen feed mills were assessed, and a representative from each region was interviewed using a structured questionnaire. Feed samples from each feed mill representing starter, grower, and finisher diets were collected for proximate analysis. The study showed that the average broiler feed production (tonnes/year) per feed mill was approximately 12,000 for Morogoro, 15,400 for Pwani, and 35,000 for Dar es Salaam. Feed production was mainly constrained by inadequate supply and low quality of ingredients, high costs of production equipment, restricted market access, and limited capital investment. The major feed ingredients listed were maize, maize bran, cottonseed cake, sunflower seed meal, soybean meal, and fish meal, while the micro ingredients included blood meal, salt, limestone, dicalcium phosphate, and premixes. Ingredients were mostly sourced from contract suppliers and local markets. The majority of feeds were processed in mash form, while a few were pelleted. There was considerable variation in the nutrient composition of the feeds of different producers. In most of the feeds examined, crude protein (CP), metabolizable energy (ME), and amino acids were below the recommended levels for broiler chickens; fat, Mg, and Na were at the recommended levels; and P, Ca, Mn, Fe, and Zn exceeded the recommended levels. Starter feeds were more costly than grower and finisher feeds, and pelleted feeds were more costly than mash feeds. The feed ingredient prices were high between October and March and lower during the June to July crop harvesting season. In general, commercially processed feeds from different companies showed large variations in nutrient composition; the majority had values below the recommended standards for broiler chickens, while some exceeded and few attained these standards.
Effects of total intravenous anesthesia using ketamine and propofol combinations on physiological and anesthetic parameters in xylazine-premedicated mixed-breed dogs
Authors: Felix Albert , Ndossi Doreen , Mpanduji Donald
Published: May 2024

The physiological effects of total intravenous anesthesia (TIVA) using three different combinations of ketamine and propofol (“ketofol”) at 1:1 (KP1), 1:2 (KP2) and 1:3 (KP3) in nine xylazine-premedicated adult mixedbred dogs were assessed. The dogs weighing 13.6 ± 2.7 kg were divided into three treatment groups in a repeated crossover experiment. A single bolus injection was used for induction, whereas constant rate infusion (CRI) was utilized for maintenance of anesthesia. All combinations lowered the respiration rates with no variations among the protocols (p=0.197). Within protocols, the rate was significantly lower than the preinduction values at the 30th (p=0.019) and 40th (p=0.041) minutes in KP1 and at the 30th minute (p=0.038) in KP2. The pulse rate was within the normal physiological range, with no differences between protocols (p=0.062); however, within protocols, the rate was significantly lower after the 30th minute in KP1 and after the 15th minute in KP2 postinduction. The temperature was within the normal physiological range but relatively higher in KP1 (p<0.001), with no differences among the protocols during maintenance (p=0.925). The oxygen saturation was generally low and did not differ significantly among the groups (p=0.542). The induction and recovery qualities were rapid and smooth, respectively, in all treatments. In all the treatments, apneustic breathing was the most common side effect. In conclusion, all ketofol ratios can be used in mixedbred dogs; however, the 1:3 (KP3) combination had relatively more stable physiological parameters, fewer side effects and quicker recovery.
A longitudinal study of tick infestations and management practices in young stock smallholder dairy cattle in the Tanga region, Tanzania
Authors: Senyael Swai Emanuel , Winfred Moshy
Published: May 2024

A longitudinal study involving cohorts of young stock animals (<3 years old) kept on smallholder dairy farms in the Tanga region, Tanzania, was conducted to identify and quantify tick infestations and describe on-farm tick management practices. A total of 549 young stock were followed for 23 months, and 3127 grazing and acaricide treatment observations were obtained. Tick counts were low in the present study, and while more than 30% of animals had a tick on one occasion, most animals had no ticks at most examinations. The most commonly encountered spp. were R. appendiculatus, Boophilus spp., A. variegatum and R. evertsi. Most animals were zero-grazed, a management system that significantly limits animal exposure to ticks; however, grazed calves were more than three times more likely to carry R. appendiclatus and Boophilus spp. ticks than zero-grazed calves were (OR [odds ratio] = 4.4, P < 0.001; 3.6, P < 0.001). There were no significant differences among sampling rounds in the numbers of animals carrying R. appendiculatus ticks (likelihood ratio test P = 0.520). Hand spraying was the common method used, acaricides that require on farm dilution were most commonly used, and most farmers used this method at concentrations considerably less than those recommended by the manufacturer, most likely due to poor understanding, high cost (tempting them to over dilute) and weak extension/veterinary services. Variation in acaricide treatment frequency was not associated with variations in tick attachment, suggesting that most farms were under a strong acaricide regime or at irregular intervals or with tick-building resistance. Our findings suggest that geographic variations in vector densities might partly influence the extent of infection caused by tick-borne pathogens. The applicability of this study to large and extensive cattle production systems is recommended to widen the scope of tick management practices while generating additional data that will inform national tick and tick-borne disease control policy reform in Tanzania.
Use of multi-agent systems and the Internet of Things to monitor the environment of commercial broiler poultry houses through specific air enthalpy
Authors: Balthazar Glauber da Rocha , Silveira Robson Mateus Freitas , Silva Iran José Oliveira da
Published: May 2024

The intensive production system for broilers requires the availability of an environment (aviary) that promotes an artificial microclimate that favors both animal well-being and productive performance; therefore, monitoring this environment is critical for production success, especially in tropical countries. This criticality opens up a range of research opportunities for monitoring because of the currently available technologies, especially in the areas of the Internet of Things and Expert Systems. Thus, this study presents a proposal for the environmental monitoring of an aviary using an Internet of Things technological apparatus combined with multi-agent systems to monitor climatic variables with the guidance of thermal comfort indicators. The experiment took place in a Cobb broiler aviary located in the countryside of the State of São Paulo, Brazil. With this objective in mind, the production period of Cobb broilers was analyzed through the construction of an Internet of Things system to collect air temperature, relative humidity, and atmospheric pressure variables combined with a data transfer mechanism for cloud recording. These variables were then analyzed by computational agents using the Java programming language with the Jade framework, which generated animal comfort indicators. The results showed that real-time monitoring of environmental variables is possible with the combination of the Internet of Things with agents that can determine animal comfort conditions according to the specific enthalpy of the air through the orchestration of a deliberative agent and with the participation of several reactive agents.
New data on the nesting sites selection and breeding success of three bird species in the riparian vegetation of Northwest African rivers
Authors: Hmidani Mohammed , Mansouri Ismail , Squalli Wafae , Douini Ikram , Mounir Mohamed , El Agy Abdelbary , Zahri Aziz , Chellik Soukaina , El Ghadraoui Lahsen , Azzouzi Amal
Published: May 2024

Many avian species partition feeding and breeding resources to avoid competition for nesting and food elements. This competition frequently leads to the segregation of space and time use among cohabiting species. The breeding requirements of coexisting species and drivers of segregation are poorly understood in passerine birds. In this study, we monitored nesting habitats, nest placement, and breeding success among two passerine birds, Hippolais polyglotta and Turdus merula, and the Columbidae species Streptopelia turtur arenicola, in rivers of the upper Moulouya (Morocco) Mountains to examine the levels of habitat partitioning, success rates, and governing factors during the breeding season. We recorded the nests, nesting sites, nest placements, and success rates of the studied species along three rivers during 2017 and 2019. Our results revealed important breeding activity in the studied birds, with 420 nests of H. polyglotta and 88 nests of T. merula, compared to 99 nests of S. t. arenicola. Nest niches were segregated between passerines and Columbidae and within passerines. Nesting sites were segregated along sections of rivers except for nests of H. polyglotta, which were shared between upstream and intermediate zones. Nest substrates were partially segregated among the three species; nests of H. polyglotta and S. t. arenicola were commonly constructed on Crataegus monogyna and Rosa canina substrates, while nests of T. merula were on Salix sp. Similarly, vertical placements of nests were segregated among birds. Breeding success rates differed among birds (94.44% in T. merula, 87.88% in H. polyglotta, and 55.56% in S. t. arenicola) due to human and natural factors. Finally, this study confirmed the first breeding case of H. polyglotta on the southern slope of the Mediterranean and provided new insight into nest niches in cohabiting passerines and Columbidae species cobred in riparian vegetation in Morocco and the entire region of North Africa. However, future investigations are required to understand the main reasons behind the selection of nesting habitats for passerine species, particularly in farmlands.
The relationships between the types of temperament on residual feed intake and the productivity of Kazakh White-Headed bulls
Authors: Uskenov Rashit , Akkair Bakytzhan , Bostanova Saule , Konca Yusuf , Strelets Alexander
Published: May 2024

The RFI of the most calm bulls (with temperament 1) was -0.83±0.67, and in bulls with a moderate temperament (temperament 2), this indicator was 36.5% less, that is, -0.53±0.55. The RFI of bulls with an excited temperament was 0.19±0.85, and in aggressive bulls, this indicator was 0.62± 0.86. It is noted that the calmer the bulls are, the lower the RFI and vice versa. The highest average daily increase was in bulls with temperament 1 (equal to 1,507 ± 0.06 g), and in bulls with temperament 4, the average daily increase was 1,191 ± 0.1 g, which is 20.97% lower than that of their most calm peers. However, the difference in the average daily gain between bulls with temperaments 3 and 4 was 70 g or 5.56%, respectively, in favor of bulls with temperament 3. The average daily gain of bulls with temperament 3 was 1,261± 0.09 g, which was 5.97% lower than that of calmer bulls. At the end of the test, the body weight of the calmer bulls was greater than that of their peers with the most aggressive temperament. In particular, the body weight of bulls with temperament 1 was 312.78a ± 4.44 kg, which is 12 kg or 3.9% greater than that of bulls with temperament 2, whose average body weight is 300.60ab ± 3.19 kg. The lowest average body weight was observed in bulls with temperament 4 (aggressive) – 291.48b±7.17 kg. 295.47b±6.70 kg. Bulls with a temperament of 3 were weighed and lagged behind their peers with a temperament of 2 by 5.13 kg.
Renewable-based microgrid energy management: A comprehensive exploration of techniques, strategies, and long-term viability
Authors: Akkur Malatesh S. , Singh Shweta , Iqbal Mohammad Asif , Kaur Sarabjeet
Published: May 2024

Renewable-based microgrid energy management systems have emerged as a promising solution to address energy security, sustainability and resilience concerns. This paper offers a comprehensive exploration of the techniques, strategies and long-term viability of such systems. The purpose of the study delves into the implementation of smart management and control systems, which enable real-time data analysis, grid optimization and effective load management, thus maximizing the utilization of renewable energy and enhancing overall system efficiency. It demonstrates the significance of decentralized energy management and its role in fostering energy independence and sustainability within local communities and small-scale industrial setups. The paper further investigates the resilience and redundancy aspects of microgrids, highlighting the importance of autonomous operation during grid failures and emergencies. Thus, the incorporation of energy-efficient practices, appliances and demand-side management strategies to promote energy conservation and reduce overall energy consumption of solar power, wind power, hydro power, biopower and geothermal. The important outreach and training are creating environmentally friendly energy consumption and improving the long-term sustainability of microgrid energy control systems that rely on energy generated from renewable sources. The study seeks to enhance ecological energy handling techniques and the utilization of clean sources of energy by offering knowledge regarding the promise of the microgrid to become a versatile and environmentally friendly power solution via this examination.
Advances in BLDC motor control: A thorough examination of torque ripple reduction and speed regulation techniques
Authors: Batra Raman , Ezhilarasan G. , Kumar Dinesh , Jain Sandeep Kumar
Published: May 2024

Applications that depend on variable speed drives have one main concern: accurate and efficient control of Brushless Direct Current (BLDC) motors. This research explores the key factors that determine the performance of BLDC motors, including torque, motor speed and flux or electromagnetic back-emf fluctuation for optimal efficiency. Although optimal circumstances need continuous torque generation in BLDC motors with trapezoidal back emf, real-world situations result in pulsing torque because of elements such as changes in the motor's manufacturing structure and design, such as slot and teeth. Because of their efficiency, dependability and precise control capabilities, BLDC motors have acquired appeal across a wide range of applications. They are inherently prone to torque ripple and need sophisticated speed management for maximum performance. Torque ripple in BLDC motors is caused by the interaction of the rotor's permanent magnets with the stator's ferromagnetic teeth, which varies in strength throughout the magnetic field and causes unpredictable torque variations. This torque ripple can have a negative impact on speed-torque characteristics, causing noise, vibrations and probable problems in sensorless drives. This study provides a thorough examination of several approaches for decreasing torque ripple. The analysis demonstrates that torque ripple in BLDC motors can be reduced by boosting the input voltage during commutation, magnifying it fourfold compared to the back emf. In addition, the research examines alternative approaches for increasing input voltages throughout the commutation time. These discoveries contribute to the progress of BLDC motor control approaches, allowing for smoother operation and greater performance in a variety of applications.
Nanotechnology and high-performance concrete: Evaluating mechanical transformations
Authors: Jakhar Sunil Kumar , Kumar Rajesh , Nagappan Beemkumar , Singh Anjali
Published: May 2024

The High-performance concrete (HPC) is defined by the attained strength and durability that are superior to conservative techniques. The features of ordinary concrete that are achieved at certain times and locations, used to establish the standards for HPC. The use of nanotechnology in HPC is attracted significant attention globally because of its small particle sizes, filling capacities, enormous surface areas and strong macro quantum tunnel property. By adding nanotechnology to HPC, it increases the whole diameters of the cementations matrix, improves cement hydration and raises matrix density. This study provides a review of current developments in HPC and assesses the effects of different nanotechnology on HPC characteristics, to provide an in-depth understanding of the potential of nanotechnology reinforced in HPC. This review evaluates the mechanical characteristics of HPC containing compressive strength (CS) by applying nano calcium carbonate, nano silicon dioxide, nano titanium dioxide and carbon nano tubes. According to findings in this review, introducing different nanotechnology enhances HPC's mechanical properties while decreasing its flexibility. While integrating nanotechnology into HPC for the greatest possible outcomes in construction, review contributes to expand the collection of information in the area of building materials. To provide a low-impact construction material and an ecologically friendly solution, more consideration is required given to nanoparticles' antibacterial, self-cleaning, air depolluting and air-cooling properties. By increasing the reactivity of various fillers, including nanoparticles with other mineral admixtures reduces the quantity of cement needed in concrete.
Towards intelligent healthcare: Investigating IoT, Big Data, and AI Collaboration
Authors: Sharma Sunil , Saxena Kumud , Reddy B. R. Sampangirama , Singh Navjot
Published: May 2024

The rising prevalence of chronic disorders such as COVID-19 has reopened the worldwide demand for urgent healthcare services. The current pandemic highlights weaknesses in the established healthcare system, demonstrating that hospitals and clinics cannot handle this situation by themselves. One important aspect of technology supporting modern healthcare solutions is intelligent networked wearables. The Internet of Things (IoT) has advanced to the point that these wearables can collect data on an unparalleled scale. Wearable technology is used to collect context-specific data about our behavioral, psychological, and physical well-being. Managing the large amounts of data produced by wearables and other IoT healthcare devices can be difficult and have a detrimental impact on the decision centers ability to make informed decisions. Using big data (BD) analytics to mine and extract information and make predictions and deductions using knowledge has generated a lot of interest. Research in machine learning (ML) has been effective in addressing a range of networking issues, including resource allocation, routing, traffic engineering, and security. The use of ML-based approaches to enhance different IoT applications has increased. Even though ML and BD analytics have been deeply investigated, most of it talks concerning the way ML-based BD analysis approach is developing in the context of IoT healthcare. In this study, the Analysis of BD using ML techniques in the healthcare industry has been extensively discussed. The advantages and disadvantages of current methods are also discussed, along with a number of research challenges. Our research will help government organizations and healthcare professionals stay up to date on the most recent developments in ML-based data analysis for intelligent healthcare.
IoT-Driven solutions for VANET trustworthiness: Examining misconduct and position security challenges
Authors: Shukla Meenu , Srivastav Vaibhav , Khare Mayank Deep , Venkatesh N. Vishnu
Published: May 2024

Vehicular ad hoc networks (VANETs) improve the traffic management and road safety by exchanging real-time data between automobiles and roadside infrastructure. Reliable Intelligent Transport Systems (ITS) solutions tend to boost VANET data security, integrity and dependability. These systems communicate VANET data between infrastructure and automobiles using sensors, Internet of Things (IoT) devices and communication technologies. IoT-driven includes a Real-Time Traffic Observation optimizes VANET route design. Traffic management and safety improve with ITS-connected cars and infrastructure. Remote communication technologies enhance traffic management and decision-making by sending a real-time data between cars and infrastructure. Smart parking systems use real-time parking availability data from IoT sensors and devices to maximize space use and reduce congestion. Security and misbehavior are dependable problems in 40 IoT-driven VANET studies. Miscommunication and unstandardized are the main security issues which pose hazards. This review shows VANETs that requires authentication, encryption and anomaly detection to prevent attacks and IoT for transportation sector. This extensive review covers VANET reliability and IoT-driven real-time traffic monitoring, ITS, remote communication and intelligent parking systems. This review analyzes the metrics to assess the many detection techniques which includes, misconduct-Aware On-Demand Collaborative Intrusion Detection System (MACIDS) and Collision-Induced Dissociation Spectroscopy (CIDS), (i) Accuracy (ii) False Positive Rate, (iii) precision, (iv) recall (v) False Negative Rate and (vi) F1-Score in VANET security in Attack Detection Rates (ADR), misbehavior detection, evaluation metrics and detection algorithms were studied using CIC-IDS data. Due to misconduct and security issues, a strong IoT-driven solutions are required to improve VANET trustworthiness and offers a secure and reliable vehicular communication networks for safer and more efficient transportation systems.
Survey on the convergence of learning techniques for precise pattern identification in fingerprint analysis
Authors: Agarwal Trapty , Shrimal Gajendra , Shahid Mohammad , Sujayaraj S.
Published: May 2024

Fingerprint analysis has been an essential component of forensic science and biometric authentication systems. The precise recognition of fingerprint patterns is critical for solving crimes, confirming identities and assuring the security of numerous applications. In recent years, the convergence of learning approaches, particularly machine learning and deep learning, has played an essential part in improving the accuracy and efficiency of fingerprint pattern recognition. In this paper, we discuss recent advancements in physiological-based biometric multimodalities, with a particular focus on the field of precise pattern identification in fingerprint analysis. Additionally, we assume the task of summarizing and examining a range of physiological-based biometric modalities, encompassing both traditional and deep learning approaches. A detailed review of several biometric measurements across many modalities is presented, encompassing various phases, including preprocessing, feature extraction and classification, which are thoroughly discussed. We provide a comprehensive analysis of the challenges and future developments associated with conventional and deep learning methodologies. The objective is to enable investigators to recognize these problems. A review is conducted to evaluate the standard and deep learning approaches employed in different physiological-based biometric systems. The comparative analysis of this review suggests that more advancement is necessary for the development of a reliable physiological-based approach to enhance and optimize the functionality of the fingerprint system.
Unveiling the pros and cons: Consequences of biodiesel in shaping the future of engine fuels
Authors: Kumar Raj , Nagappan Beemkumar , Agarwal Trapty , Giri Shivangi
Published: May 2024

The worldwide search for eco-friendly energy sources has raised interest in biodiesel as a possible replacement for traditional fossil fuels. The goal of this study is to thoroughly examine the benefits and drawbacks of biodiesel while considering possible future developments for engine fuels. Researchers have focused a lot of interest on biodiesel since its introduction as a renewable alternative fuel. The fundamental components of biodiesel are created through the transesterification of plant, animal, or even waste cooking oil. Biodiesel is used to fully use natural resources and lessen the severity of oil shortages and environmental harm. Without requiring any modifications, biodiesel can be used straight to car engines to enhance engine combustion and lower negative emissions. This study's main goal is to give a general overview of how biodiesel applications affect diesel engines, considering how they affect emissions, vibration, noise levels, compatibility, engine performance and combustion characteristics. This study covers unregulated emissions, concentrating on two topics that have not been thoroughly studied: Polycyclic Aromatic Hydrocarbons (PAHs) and Volatile Organic Compounds (VOCs). This will be crucial that regulators, researchers and industry stakeholders understand the full spectrum of consequences associated with biodiesel as they collaborate to develop engine fuels in a sustainable and ethical manner.
Current developments in machine learning for agriculture: Semantic division approaches and critical evaluation of farm image analysis
Authors: Kumar Sarika , Jayabalan Bhuvana , Acharjya Kalyan , Dheer Meenakshi
Published: May 2024

As agriculture continues to evolve, there is an increasing demand for efficient as well as sustainable practices to ensure food security and optimize resource utilization. Agricultural image processing is revolutionized by the integration of machine learning techniques with conventional approaches and semantic segmentation has become a critical area of study attention. Performance in tasks like crop cover analysis, type identification and pest/disease detection has been improved by this synthesis. Using segmentation principles as a guide, this paper thoroughly examines current developments in conventional and machine learning-based semantic segmentation techniques for agricultural imagery. The conversation focuses on machine learning's effective features that can be used in concert with the original image data. There are acknowledged challenges with agricultural image segmentation, such as the requirement for improved generalization and resilience. The review tackles the lack of labelled samples by showcasing novel approaches such as dataset augmentation and multimodal information integration that improve machine learning techniques. This culminates in a valuable guide for using image semantically segmented in agricultural informatization.
Cross-links techniques in the manufacturing of smart biomaterials for implanting bone tissue: A systematic review
Authors: Agarwal Trapty , Madaan Shweta , Mohammed Shoaib , Patil Nagraj
Published: May 2024

The chemical bonding and cross-linking procedures improve the structural integrity and compatibility of smart biomaterials for establishing bone tissue, making them useful for long-lasting uses in medicine. Because of their advantageous qualities, biological macromolecules known as biomaterials have somewhat supplanted traditional tissue transplanting methods in biomedical applications. Cross-linkers have been demonstrated to be a clever and promising technique in this respect, enhancing the biological functioning of biopolymers. Improving implant function and encouraging efficient bone regeneration need the use of cutting-edge technology in biomaterial design. Standard cross-linkers, such as glutaraldehyde, are employed in a variety of bio-implants; nevertheless, there is considerable disagreement over their possible toxicity. The influence of several cross-linking techniques, such as chemical, physical and enzymatic methods, on the mechanical, biological and structural characteristics of smart biomaterials is highlighted in this study's thorough analysis. The focus on these cross-linking approaches’ capacity to regulate important attributes includes regulated medication release, biocompatibility and bioactivity. The paper discusses the potential and difficulties of cross-linking techniques in the framework of tissue engineering of bones. This offers insightful information that can guide future advancements in the creation of intelligent biomaterials for the best possible uses in bone implants. The paper discusses the diverging and converging cross-linking techniques' methodology, placing particular emphasis on identifying the cross linking modalities' present constraints and potential future applications in bone tissue development.
Unravelling the potential of Big Data-driven decision-making in sustainable water irrigation: An AI perspective
Authors: Jayaraman Gowrishankar , Singh Vaishali , Kulhar Kuldeep Singh , Homavazir Zuleika
Published: May 2024

Big Data-driven initiatives have transformed several industries by using large databases to extract vital information and enhance operations. In the field of sustainable water irrigation, Big Data enables intelligent water management, allowing for exact resource allocation, monitoring and analysis. This combination enables smart decision-making, increasing productivity in agriculture while reducing water consumption and environmental impacts. The revolutionary influence of data-driven approaches on managing water resources for sustainable and efficient irrigation practices has significant potential. The research highlights the importance of Big Data-driven approaches in water management by examining their applicability. It explores the artificial intelligence (AI) techniques for water irrigation that is sustainable and determines significant affecting factors efficient water management. The study encourages AI in intelligent water management systems and explains the application of big data in irrigation. It illustrates how smart water management which includes hydrated irrigation and predictive water infrastructure can contribute to AI-driven water management. To handle complicated water supply problems, the research presents an estimated water level model, highlighting the integration of AI and indicating the revolutionary potential of these techniques in attaining sustainable water irrigation. We highlight the novel possibilities of big data-driven methods for sustainable water irrigation, illustrating the essential part of AI techniques in effective water resource allocation.
Review on smart grids and renewable integration: An artificial intelligence-powered perspective
Authors: Nagappan Beemkumar , Chaudhary Chetan , Doda Devendra Kumar , Kumar Sarika
Published: May 2024

Micro-grids have been rising as a component of the smart grid (SG), power management systems and integrating renewable energy sources (RES). The integration of various distributed components such as modern measuring facilities, connectivity and electric transportation, are causing an exciting change in the grid around the world. The purpose of this transformation is to advance the subsequent power systems’ dependability, renewable energy management and security. In this study, we offer a systematic review of innovative (artificial intelligence AI) approaches for supporting diverse demands in a distributed SG. In particular, we examine the way that artificial approaches can help with the integration of RES, SG and power management. We also address how AI can contribute to enhancing the general social welfare of the SG, considering it encompasses a variety of consumers, including energy producers, industries and consumption. Lastly, we provide additional studies for the significant coordination, along with the integration of autonomous separated devices that highlight several unresolved issues and future directions, to construct an incredible SG.
An examination of wearable technology in the field biomedical engineering: A review
Authors: Awasthi Kumud Kant , Bhatt Mukul , Rajendran Naveen Kumar , Singh Akhilendra Pratap , Sharma Pratibha
Published: May 2024

A wearable device is a piece of technology that can be worn on the body, designed to be portable, lightweight and equipped with various sensors or features for specific functions. As a game-changer in the field of biomedical engineering, wearable technology provides innovative approaches to illness management, individualized healthcare and health monitoring. This review looks at wearable technology as it stands in the field of biomedical engineering, emphasizing its uses, difficulties and potential. The research examines a wide variety of wearable wireless biosensors, sensor patches, wristwatches, wearable face masks and multi-sensor smart clothing, emphasizing their potential to measure physiological parameters, including blood pressure, heart rate and sleep patterns. This study demonstrates the need for intelligent wearable devices for high-quality signal capture, processing and continuous monitoring of critical parameters. The creation of smart wearables that meet the specified design standards enables the creator of a wearable with reduced power consumption that can be used to monitor the health of patients. This study offers a thorough analysis of wearable technology's present state, obstacles and potential applications in the field of biomedical engineering. It will be of great use to investigators, medical professionals and developers of technology.
Effective cybersecurity risk management practices for small and medium-sized enterprises: A comprehensive review
Authors: Ambreen Lubna , Jain Manjula , Yadav Rakesh Kumar , Loonkar Shweta
Published: May 2024

Small-to-medium-sized enterprises (SMEs) make up a significant portion of the economies of many nations. However, research shows that many companies fall short when establishing cyber security, making them vulnerable to assaults. In addition, while accounting for a sizable share of firms, studies on cyber security focus on SMEs. This study reviews the latest evaluation on the cyber security of SMEs, emphasizing how well this experiment aligns with the well-known National Institute of Standards and Technology (NIST) and Cyber Security Framework (CSF). The report begins by underlining the crucial necessity of cybersecurity in the digital era and the particular issues that SMEs confront. It emphasizes the financial and reputational dangers associated with cyber events, emphasizing the importance of solid cybersecurity procedures. The review investigates several cybersecurity risk management approaches, strategies and frameworks, providing insights into their relevance and efficacy in the context of SMEs. We discovered that study in SME cyber security is sophisticated and specialized attention on the NIST and CSF recognize as well as defend tasks, with minimal effort spent on the other current activities. SMEs should be equipped to detect, react to, and recover from cybercrime. SMEs might not have appropriate information on responding to such occurrences if research in these areas is pathetic. In future studies in SMEs, there needs to be an excellent equilibrium in cyber security. Scholars ought to use firm, proven mathematical methods to improve and test their work, yet governments and academia are urged to invest in providing researchers with incentives to broaden their research horizons.
Comprehensive literature review on stakeholder prospects, responsibilities, and quality performance measurement in sustainable supply chain governance
Authors: Wadhwa Jiya , Colaco Prem , Reddy Pujari Sudharsana , Jain Manjula
Published: May 2024

The sustainable Governance of supply chains has become essential for businesses trying to balance economic success and ecological and ethical imperatives in an era of increased environmental awareness and social responsibility. Many stakeholders are pressuring companies to integrate sustainability into their supply chains as environmental degradation and social inequality worsen. Therefore, it is essential to include non-traditional supply chain stakeholders, such as competitors and non-governmental organizations, in supply chain operations to produce an SSCG. This comprehensive literature review synthesizes and examines the current body of information on stakeholder prospects, responsibilities, and measuring quality performance in sustainable supply chain governance. Therefore, this study's primary objective is to clearly show how SSC practices are related to stakeholder roles and responsibilities. A thorough literature examination was conducted, and 40 peer-reviewed journal publications from 2019 to 2023 were included. In this work, expectations, as stated in scholarly literature, are methodically categorized, and any gaps are reviewed critically. A reasonable explanation for stakeholders' discontent with the sustainability performance measurement and evaluation methods used nowadays is that, as the literature review demonstrates, stakeholder expectations have yet to be considered. The findings indicate that many external and internal supply chain stakeholders drive, enable, or check the application of sustainable supply chain Governance techniques.While governments and non-governmental organizations are essential drivers of sustainable supply chain Governance techniques, research can also help with their implementation. Furthermore, proactive interaction with external supply chain stakeholders improves organizational learning by boosting understanding and awareness of sustainability and developing knowledge.
Analyzing traffic conflict scenarios and safety assessment in the context of intelligent vehicles: A research review
Authors: Olakh Simar , Balasubramanian Jayashree , Tiwary Abhinav , Arya Satyendra
Published: May 2024

The several internal disputes and various types of traffic accidents at an urban crossroads make for a complex traffic scenario. Because accident data and crash-based methodologies are limited, researchers are now examining other safety measures, including traffic conflicts that do not depend on crashes. To better assess road safety in the decades to come new real-time data is essential. The automobile industry is heading toward intelligent cars with the goal of enhancing road safety. Although there is a common failure mechanism between accidents and traffic conflicts during driving, which makes it possible to apply crash frequency and severity estimates to traffic conflict frequency and severity models, predicting traffic conflicts presents distinct difficulties. This study discusses conceptual and methodological concerns while reviewing research papers on traffic disputes as safety measures. It offers a thorough synopsis of previous research from the viewpoint of intelligent vehicles. It explains that there are three primary categories into which the perception technology of intelligent cars may be separated: perception technology, communication technology, and the combination of perception and communication technologies. The paper emphasizes the need of harmonizing international safety standards as well as the role that governments and regulatory agencies play in guaranteeing the security of intelligent vehicles. It highlights the need for additional research on transport conflict modeling techniques and offers practical recommendations for future study.
A comprehensive analysis of the influence of information technology on organizational management characteristics
Authors: Grover Pooja , Seth Kanika , Mishra Smita , Rai Supriya , Purohit Aseem
Published: May 2024

The paper conducts a thorough investigation and broadens current academic and mainstream literature to deliver a comprehensive evaluation of how information technology (IT) impacts organizational characteristics and outcomes. First, drawing from the literature analysis, we delineate two key advantages of IT in enhancing performance: information efficiencies, which streamline processes, resource allocation along with information synergies, which foster collaborative environments as well as amplify the value derived from data integration and sharing across organizational domains. Following our discussion, we proceed to delineate the fundamental organizational outcomes that stem from the integration of IT, which encapsulate these inherent advantages. Following that, we research into the multifaceted impact of IT on managing the connection between various organizational attributes, including its pivotal role in fostering innovation, streamlining efficiency, facilitating information synergies and promoting effectiveness in interorganizational relationships. In our comprehensive exploration, we thoroughly investigate and analyze the attainment of strategic outcomes, the optimization of organizational efficiency, along with the fostering of innovation in the realm of information technology. Our examination extends beyond the positive aspects, as we delve deeply into the multifaceted landscape of constraints and potential adverse outcomes intricately intertwined with IT usage. This thorough scrutiny allows gaining valuable insights into the challenges that can arise, providing a nuanced understanding of the intricate dynamics involved. Conclude our investigation; we scrutinize various pivotal avenues for future research, ensuring a forward-looking perspective that addresses emerging trends and evolving challenges in the ever-changing landscape of information technology.
Understanding the significance of risk management in enterprise management dynamics
Authors: Shrivastava Vijayendra Kumar , Balasubramanian Jayashree , Katyal Ashu , Yadav Aditya , Yogananthan S.
Published: May 2024

In the complex landscape of modern business, risk management is a critical factor in deciding whether organizations succeed or fail. This review delves into the significance of risk management in enterprise dynamics, exploring its evolution, conceptual framework and the categories of risks organizations face. The study emphasizes the importance of risk identification, assessment, response and continuous monitoring. Additionally, it categorizes enterprise risks, including financial, operational, strategic, compliance and reputational risks. This work highlights the pivotal role of risk management in strategic decision-making, stakeholder confidence, operational resilience, value creation, and innovation, as well as cost reduction. Furthermore, it investigates the emergence of Enterprise Risk Management (ERM) and its integration with management science. Empirical findings underscore the positive impact of ERM on organizational risk evaluation and management. The study concludes with thoughts on the objectives of ERM, risk assessment, group impacts, preference consistency, risk management frameworks and potential implementation obstacles that organizations may encounter. The integration of ERM with strategic management is emphasized, providing a comprehensive understanding of organizational dynamics and promoting long-term success.
A review of talent management and human resource practices in the context of small and medium enterprises
Authors: Koppa Krishna , Sood Gourav , Harikumar Priya , Mishra Smita , Agrawal Sarita
Published: May 2024

In the dynamic environment of small and medium-sized enterprises (SMEs), the expertise of Talent Management (TM) and Human Resource (HR) practices is important.  These include a comprehensive approach for identifying, nurturing and retaining qualified workers, which define the core structure of SMEs' organizational strength. It represent an inclusive strategy to workforce development, including recruiting, upskilling, performance optimization, and developing a working culture that is well matched to the unique subtleties and challenges that SMEs encounter. This review provides a comprehensive examination of TM and HR management (HRM) methods in the context of SMEs. It starts by stressing the significance and specifics of SMEs, emphasizing their critical role in fostering growth as well as the unique obstacles they confront as a result of resource restrictions and enterprising dynamics. The importance of TM in SMEs is highlighted its crucial role in generating organizational success and innovation. Despite the inherent difficulties of TM in SMEs, such as limited resources and talent acquisition hurdles, there are exciting opportunities for advancement. Innovations in technology, strategic collaborations and talent development programs provide opportunities for SMEs to improve their competitiveness and sustainability. By addressing these significant difficulties, this summary gives a complete review of TM and HRM practices in SMEs, emphasizing the need for specialized solutions to assist SMEs with managing the complexity of recruitment and achieving sustainable success.
A comprehensive analysis of knowledge management role in developing business performance
Authors: Gupta Mohit , Sevukamoorthy Lakshmi , Asbe Chetana , Bagaria Onkar , Gupta Ashish
Published: May 2024

There is a lack of information about KM's comprehensive influence on total corporate success, even with the field's relevance in modern business settings increasingly acknowledged.  To overcome this gap, this research explores the complexities of KM and how they affect the performance of organizations. Knowledge Management (KM) has become one of the most well-known contemporary leadership strategies. A rigorous strategy was used to conduct a thorough examination of the relationship between KM techniques and company performance. The research uses a combination of qualitative and quantitative methodologies, such as instances, questionnaires, and data analysis to provide a comprehensive comprehension of the topic. The results show how KM contributes in many ways to corporate effectiveness. Determine the essential KM techniques that have a substantial influence on a range of organizational success factors, such as decision-making and innovation as well as operational effectiveness. For companies seeking to maximize their KM tactics for improved performance, the findings provide insightful information. The study findings have practical relevance for firms seeking to improve overall performance in today's competitive and dynamic business environment by strengthening their KM activities.
Islamic accounting: Ethics and contextualization of recording in Muamalah transactions
Authors: Muthoifin Muthoifin , Amelia Ishma , Eprahim Ali Aisha Bahaaeldin
Published: May 2024

This study aims to reveal the ethics of sharia accounting: the ethics and contextualization of documenting the economics of sharia, muamalah, and accounts payable, as well as their execution in an Islamic environment, and the ramifications of al-Baqarah: 282 if applied. This research method employs qualitative and descriptive research methods, the data source is literature study, specifically the collection of documents containing primary data from al-Baqarah: 282 and secondary sources, and the approach is content analysis, normative-theological, and phenomenological. The results of the study indicate that in the contextualization of sharia accounting, muamalah, accounts payable, and so on, must be based on the general principles of sharia, namely, responsibility, fairness, honesty, legitimacy, good personality, continuity (continuity), and muqabalah (matching). This is per the spirit of sharia accounting as stated in al-Baqarah: 282. If this implementation is violated, it can harm all actors of economic transactions, both major and minor, personal and social, in this world and the hereafter.