bluuebunny/crossref_metadata_2025 huggingface dataset:
THEORETICAL FRAMEWORK ON EMERGING MARKET INVESTING - MULTI-ASSET GRANULAR AND DYNAMIC PORTFOLIO APPROACH
Authors: Mitra Dr. Pradeep , Sharma Dr. Neetu Bhardwaz
Published: June 2024

“No one can beat the market all the time. Multi-asset strategies provide an instrument that satisfies the need for asset allocation by all investors, particularly long-term investors. This is precisely where the fundamental value-add of investment managers comes in. Multi-Asset Strategies: The Future of Investment Management examines the overall theory and practices of multi-asset investing, providing investment managers with an invaluable reference.” Hong Lei Chairman, Asset Management Association of China “Larry Cao has brought together top-flight investment professionals with a diverse approach to multi-asset class management. As a global asset allocator, I very much appreciate the mosaic approach of Multi-Asset Strategies. Without doubt, this book leaves the reader with a holistic view of best practice in the field.” Robert Browne, CFA CIO, Northern Trust Hong Lei Chairman, Asset Management Association of China. This research report provides an in-depth analysis of emerging market investing using a multi-asset granular and dynamic portfolio approach. Emerging markets offer attractive investment opportunities but are also associated with higher risk and volatility. Therefore, a comprehensive and adaptive investment strategy is crucial to maximize returns while managing risks (Pierpaolo Grippa and Lucyna Gornicka, 2016).This report explores the benefits, challenges, and key considerations of implementing a multi-asset approach in emerging market investing. It also examines the importance of granularity in portfolio construction and the significance of dynamically adjusting allocations based on market conditions.
LIVING IN THE WORLD OF INTELLIGENT VIRTUAL ASSISTANTS – SKY IS THE LIMIT
Authors: Chowdhury Sonali
Published: June 2024

The international market for Virtual assistants in growing at a gigantic pace, and it is forecasted that this market will be on the peak from 2023-2030. The growth of virtual assistant will lead to the revolutionizing the workforce, and this is the result of digitization and the technological advancement where every task can be completed quickly from the comfort zone of our houses. This chapter showcases some points as to how the HVA (Human Virtual Assistant) and the IVA (Intelligent Virtual Assistant) have clear benefits in saving time and improving efficiency and productivity across all the organizational departments. The rapid adoption of IVA has helped lots of businesses to be in sync with the technological innovation happening in the world which in turn is a primary driver of the global virtual assistant market. Virtual assistants are widely being used across industry verticals due to ML, deep neural networks and other artificial intelligence technologies.
SEARCH ENGINE MARKETING: SHAPING THE FUTURE OF DIGITAL MARKETING FOR BUSINESS GROWTH AND CONSUMER ENGAGEMENT
Authors: Mohan Sreejith S
Published: June 2024

Search Engine Marketing (SEM) plays a crucial role in the broader field of digital marketing and has been experiencing significant growth and expanding scope. As a core component of digital marketing, SEM focuses on leveraging search engines to drive targeted traffic and increase online visibility. With the continuous rise in online activities and the increasing reliance on search engines, the importance of SEM has grown exponentially. Currently, SEM encompasses both organic (SEO) and paid (PPC) strategies to optimize search engine rankings and drive website traffic. This article explores effectiveness of SEM, trends and emerging strategies that will shape the future of digital marketing, enabling businesses to stay ahead of the curve and effectively engage their target audiences in the digital realm.
ROLE OF CORPORATE GOVERNANCE IN INDIA: THE ORGANIZATIONAL DIMENSION OVER YEARS AND ITS FUTURE
Authors: Pankunni Dr. Natasha
Published: June 2024

Corporate governance, in its essence, is a system of applying best management practices by stressing on ethical and socially responsible standards which will improve the sustainable relationship between all the stakeholders of a Company. Anchoring upon its pillars of strength viz. transparency, accountability, fairness and ethics, corporate governance put forward a valid and righteous governance for the corporates. When the pathway of corporate governance is explored, it is tacit that, ‘corporate governance’ is not a new concept, but only a new phrase. History shows that whenever there occurred an instance of demarcation of owners with managers, there felt a need for corporate governance, in its meaning as we conceptualize now. Shakespeare, in his notable work ‘Merchant of Venice’ marked such an instance where Antonio had to endure the pain of seeing his sail going away from him with his fortunes in the hands of others. In the Indian context too, the concept was addressed in ‘Arthashastra’ by Chanakya, where the Kings faced from their royal officials the roots of mismanagement. The need for governance was always needed and felt, only that it became realized in the form of ‘Corporate governance’ in 1960s. The Cadbury Committee (1992) report defined the corporate governance exactly as is practiced now. As far as Indian context is considered, the evolution of corporate governance can be traced in three phases. The first phase marked ‘Managing Agency System’, followed by ‘Promotor system’ and finally the ‘corporate governance’ phase as defined by ICAI. The Harshad Mehta scam of 1992 paved way for strengthening the core principles of corporate governance in India. Actually, it can be said that the concept is reinforcing more and more year after year. And of course, the insights from the Satyam scam (2009), Sarada Chit fund scam (2013) and PACL scam (2015) contributed to it considerably. When we look at the various organizational dimension of corporate governance in India, remarkable inferences can be drawn, for instance, from banking sector, small and medium enterprises, public enterprises, financial sector enterprises, energy sector enterprises, etc. Moreover, it is interesting to find E-governance as a new dimension in India along with the role of ‘Gender diversity’ in corporate governance and its impact on the corporate performance.
GENERATIVE AI AND EMERGING BUSINESS USE CASES: A SCENARIO ANALYSIS TO ENVISION THE FUTURE
Authors: D Mavoothu Dr. , Vaishalini Ms. Nirmala
Published: June 2024

Generative AI is at the threshold of gaining popularity among all stakeholders, particularly with enterprises. It can generate high-quality text, images, and other content. Generative AI brings both opportunities and challenges from the business point of view as its use cases are steadily increasing even though the overall area right now is in its infancy for business use. In this chapter, an attempt is made to explore the emerging business use cases of Generative AI and the potential opportunities and challenges in order to envision the future of it.
INSURED INSIGHT: DELVING INTO POLICY HOLDER PERCEPTIONS OF HEALTH INSURANCE IN KERALA
Authors: B S Biji , V S Dr. Suleena
Published: June 2024

The research paper aims to investigate the perception of policyholders regarding health insurance policies in the state of Kerala, India. The rapid evolution of the healthcare landscape and the increasing importance of health insurance in mitigating financial risks have spurred interest in understanding how policyholders perceive and engage with health insurance offerings. This study endeavours to uncover the factors that influence policyholders' perceptions, their preferences, and the challenges they encounter when evaluating and utilizing health insurance policies. The descriptive and analytical study uses a well-structured questionnaire distributed across diverse demographic segments to gauge perceptions on factors such as coverage, affordability, network hospitals, and claims experience. The findings of this study are expected to shed light on several key aspects, including the factors driving policyholders to opt for health insurance and the criteria they prioritize while selecting policies during policy utilization. Insights into policyholders' preferences for value-added services, communication strategies, and their opinions on the state of health insurance in Kerala will contribute to refining insurance offerings to better cater to their needs. Ultimately, this research endeavours to contribute to the enhancement of health insurance policies by providing a nuanced understanding of policyholders' perceptions. The implications of this study extend to insurers, policymakers, and healthcare providers, offering valuable insights to inform policy design, communication strategies, and the development of innovative solutions that address the evolving healthcare landscape in Kerala.
FUTURISTIC TRENDS IN HEALTHCARE MANAGEMENT: INTEGRATING CORPORATE SOCIAL RESPONSIBILITY FOR SUSTAINABLE PATIENT-CENTRIC PRACTICES
Authors: Subramaniam Radha
Published: June 2024

This chapter scrutinizes the symbiotic relationship between futuristic trends in healthcare management and the integration of Corporate Social Responsibility (CSR) principles. Focusing on sustainable patient-centric practices, the analysis unveils how technological advancements, ethical imperatives, and socio-economic considerations intertwine to shape the healthcare ecosystem. Drawing from the convergence of these factors, the study underscores the potential benefits and challenges of implementing CSR-driven healthcare management strategies, further elucidating how such integration can cultivate sustainable, patient-centric healthcare services.
INTRUSION DETECTION AND PREVENTION SYSTEM
Authors: Emmadisetty Sharanya , Tirumalaraju Sreya , Sree Pranav Reddy M , Sandeep Chaitanya N , Sankarapuram Chandana
Published: June 2024

The rapid growth of technology in different fields has led to a great need for various services as they are an essential component in any domain’s operation and performance. With this advancement, there’s a huge rise in the effects caused by cyber- attacks. There’s a burning need to prevent this type of attacks and intrusions and its after affects. An essential instrument for monitoring, identifying and preventing intrusion threats is the INTRUSION PREVENTION SYSTEM (IPS).With a focus on datasets, ML methods, and metrics, this study tries to analyze recent Intrusion Prevention System research using a Machine Learning approach. An intrusion detector needs to be built to distinguish between safe normal connections and bad intrusions or attacks. The system's prevention model takes necessary action to reduce or restrict the extent to which the intrusion can damage the system. However, the dynamic and complex nature of cyber- attacks on computer networks cannot be handled by most techniques used in today's Intrusion Detection & Prevention System. Therefore, higher detection rates, lower false alarm rates and low computation and communication costs can be achieved by efficient adaptive methods such as various machine learning techniques.
A BRIEF OVERVIEW ON SENTIMENT ANALYSIS BASED RECOMMENDATION SYSTEM
Authors: Kumar Sumit , Vishal Shrivastava Dr. , Vibhakar Pathak Dr.
Published: June 2024

Many industries, including e-commerce, media, finance, and utilities, have embraced recommender systems. To maximize customer happiness, this type of technology uses a vast quantity of data. These recommendations assist customers in selecting items, while companies can enhance product use. When it comes to analyzing social data, sentiment analysis may be used to acquire a better knowledge of users' thoughts & feelings, which is useful for enhancing the dependability of recommendation systems. However, this data may also be utilized to supplement user ratings of items. According to some, SA (Sentiment Analysis) of articles that may be found in online news sources and blogs or even in the recommender systems themselves can provide better recommendations to users. Research trends that connect sophisticated technological components of recommendation systems utilized in many service domains with the commercial aspects of these services are reviewed in this article. We must first conduct an accurate evaluation of recommendations models for RS (Recommendation Systems) using data mining & application service research. Deep learning architectures for breast cancer detection are the topic of this review. The following is a list of current machine-learning-based technologies that will be discussed in this survey. Research into recommendation systems is made possible by this study's examination of the numerous technologies and service trends to which recommendation systems may be applied, which gives a complete overview of the area.
MULTI-AGENT SYSTEMS
Authors: J Veeralagan.
Published: June 2024

It has only been less than 20 years since Distributed Artificial Intelligence (DAI) emerged as a separate subject of AI. Systems with numerous independent entities interacting inside a domain are what DAI is concerned with. DAI has traditionally been divided into Distributed Problem Solving (DPS) and Multiagent Systems (MAS), two sub-disciplines. MAS deals with controlling the behavior of groups of various agents or independent entities. Agent-based applications are becoming commonplace thanks to the current technological advancements in a wide range of industries, including e-commerce, supply chain administration, logistics, telecommunications, medical care, and production. Another reason why multi-agent systems are so well-liked is because they are thought of as an innovation and a tool which encourage the development of new theories and models for massively distributed systems or systems that are centered on people.
ENHANCED ADMISSION PREDICTION USING MACHINE LEARNING DURING COVID-19 PANDEMIC
Authors: R Jayashree. , S Venkatesh.
Published: June 2024

The pandemic periods such as COVID-19 and other natural disasters significantly impact the education system. The number of school and college dropouts is increasing because of various reasons. The prevention of dropouts from educational institutions is significant in improving society. This paper analyzes the number of students discontinuing their studies at academic institutions yearly. Thus, the importance of preventing dropouts from the education system is emphasized in this study.
DEEP LEARNING IN BIG DATA ANALYTICS: UNRAVELLING THE POWER OF NEURAL NETWORKS FOR LARGE-SCALE DATA INSIGHTS
Authors: A Sheerinsithara. , S. Albert Antony Raj Dr.
Published: June 2024

This chapter explores the pivotal role of deep learning in the domain of Big Data Analytics. With the exponential growth of data, deep learning has emerged as a transformative technology for handling complex, large-scale datasets and extracting valuable insights. The section explores the core principles of deep learning and its significance within the realm of Big Data. It covers various deep learning architectures, algorithms, and techniques utilized in Big Data Analytics. Furthermore, the chapter investigates real-world use cases and discusses the challenges and future prospects of integrating deep learning into the Big Data ecosystem.
HERBAL MEDICINES ON RESPIRATORY INFLAMMATION-RELATED DISEASES
Authors: R. Jothi Lakshmi Mrs. , Selvakumar R. , Pushparaj K. , Ansar Deen , Raman Devi , ManiKandan K. , R. Srinivasan Dr. , Dinesh Babu A. , Singh Khushi
Published: June 2024

Respiratory inflammation-related diseases pose significant health challenges globally, necessitating effective therapeutic interventions. Herbal medicines have emerged as promising candidates for managing these conditions due to their diverse bioactive compounds with anti-inflammatory properties. This abstract reviews the role of herbal medicines in alleviating respiratory inflammation and associated disorders. Herbal medicines offer a rich source of phytochemicals such as flavonoids, terpenoids, and polyphenols, known for their anti-inflammatory, antioxidant, and immunomodulatory effects. These compounds target various pathways involved in respiratory inflammation, including the inhibition of pro- inflammatory cytokines, suppression of oxidative stress, and modulation of immune responses. Several herbal remedies have demonstrated efficacy in alleviating respiratory inflammation-related diseases such as asthma, chronic obstructive pulmonary disease (COPD), and allergic rhinitis. Commonly used herbs include ginger, turmeric, licorice, and boswellia, each possessing specific mechanisms of action against inflammatory mediators. Clinical studies have supported the therapeutic potential of herbal medicines in managing respiratory inflammation-related diseases. Parameters such as lung function, symptom severity, and inflammatory biomarkers are commonly evaluated to assess treatment efficacy. Moreover, herbal formulations are often well-tolerated with minimal adverse effects, making them suitable adjuncts or alternatives to conventional therapies. Furthermore, herbal medicines offer the advantage of holistic treatment by addressing not only the symptoms but also underlying inflammatory processes and immune dysregulation associated with Respiratory diseases. In conclusion, herbal medicines represent promising therapeutic options for respiratory inflammation-related diseases, offering a natural and multifaceted approach to manage these conditions. Further research is warranted to elucidate the mechanisms of action, Optimize formulations, and validate their long-term efficacy and safety profiles.
RESEARCH METHODOLOGY IN NURSING
Authors: Rupam Supreet
Published: June 2024

The growth and expansion of nursing knowledge are crucial in keeping pace with the ever-evolving advancements in technology and techniques for delivering patient care. Nursing research plays a vital role in enhancing the overall health and well-being of individuals. Integrating the research process into nursing and implementing research findings within clinical settings fosters innovative methods to enhance patient care. Irrespective of their practice settings, nurses should actively engage in reviewing research findings and applying them to bridge the gap that often exists between theoretical education and practical application. This ensures that nurses are well-equipped to deliver high-quality care while staying abreast of the dynamic changes in the field of nursing.
NURSING PERSPECTIVE ON EFFECTIVENESS OF BLENDED LEARNING: REVIEW ARTICLE
Authors: Pratiksha Thakare Ms. , Esther Nadekar Mrs. , Priyanka Gujar Ms. , Deepali Tayde Ms. , Samiksha Shende Ms.
Published: June 2024

In a formal education program known as blended learning or hybrid learning, students get teaching and content online, at least in part. The blended learning approach is highly significant and helpful in reaching competency and learning goals during a pandemic. This article's goal is to review the literature on the blended learning approach that will be used in nursing education in the future. Utilizing the terms Nursing, Perspective, Effectiveness, and Blended Learning in three databases—PubMed, Science Direct, and Google Scholar—is the search method. There are six articles by criteria for eligibility which have been determined by researchers for writing articles. Six articles stated Blended Learning was effectively performed during the pandemic Covid – 19 and it is a very effective method in futuristic nursing to enhance the applied skills while practicing advanced nursing care.
EMERGING TRENDS IN TARGETED DRUG DELIVERY SYSTEM FOR NEUROLOGICAL DISORDERS: A REVIEW
Authors: Bobade Priyanka A. , Sayyed Bushra S.
Published: June 2024

CNS diseases and neurological conditions often coexist. Targeted drug delivery to the brain using nanoparticles has been chosen to reduce drug toxicity and boost treatment effectiveness. Delivery of drug to CNS remain significant challenge in treating neurological disorders, mostly as a result of the blood-brain barrier (BBB), which limits drug delivery to the brain. This study aids researchers in the field of neurological disorders by selecting most suitable and effective methods for targeted delivery. Nanotechnology has an immense amount of potential to improve the treatment of neurological ailments including stroke, tumors in the brain, dementia, and Alzheimer’s illness. And Parkinson’s disease. The significance of this research lies in exploring emerging trends for investigating targeted drug delivery in neurological disorders through diverse approaches, including nanotechnology, gene therapy, non-invasive techniques and biomaterial-based approaches.
DENDRIMERS IN ALZHEIMER'S DISEASE: CURRENT STATE AND FUTURE DIRECTIONS
Authors: Singh Aditya , Saleem Mohammad , Kumar Pankaj , Kumari Poonam , Singh Durgesh , Maheshwari Shubhrat
Published: June 2024

Alzheimer's disease (AD), neuronal death, and synaptic loss are all characterized by extracellular amyloid-(A) plaques and neurofibrillary in the intracellular milieu, all of which lead to progressive cognitive impairment. The prevalence of AD exponentially rises after age 65, making age the most major risk factor for the disease. It is expected that during the next 20 years, the overall prevalence of AD will double as the average lifespan in emerging nation’s increases. Ideal drug delivery systems depend on the pharmacokinetics and pharmacodynamics of many innovative formulations to achieve the following characteristics: efficient drug transport to the target tissue, consistent therapeutic drug concentrations, a reduction in dose quantity and frequency, and increased patient compliance. Various dendrimers-based formulations, include orally disintegrating tablets, extended-release capsules, and numerous attempts to develop alternative delivery systems, including Three basic components make up a typical dendrimer molecule: a central core composed of at least two identical functional groups on an atom or molecule; branching units that emerge from the central core; and various peripheral surface functions, such as drug delivery, a nose-to-brain delivery system, and nano formulations with various nano-carriers for the treatment of AD. Fate of all the novel formulations depends on the Pharmacokinetics and Pharmacodynamic behavior of the drug substances. Pharmacokinetics (PK) studies the disposition of drug molecules in the body, including their concentration patterns and AUC last, Tmax, Cmax, and AUC in values Pharmacodynamic (PD) assessment looks at how a drug affects the body includes variations in Emax, EC50, in an Emax- model parameter. A drug must cross the blood brain barriers and be absorbed by the specific tissues in order for it to be effective in treating an Alzheimer patient (as measured by PK studies). To successfully alter the target protein activity in the body (as determined by PD studies), this is required. This chapter will focus on the various novel formulations Targeting AD and its Pharmacokinetics and Pharmacodynamics behaviour.
A DEEP DIVE IN TO BIOMARKERS, TYPES, ROLE IN THE DIAGNOSIS OF DISEASES AND IMPACT OF SAMPLE KIND ON SELECTION OF BIOMARKER
Authors: P Samuel. , M Gnanaraj. , D. N. P Sudarmani , D. S Prabakaran. , L Prince.
Published: June 2024

Biomarkers, also known as biological markers, are biological indicators of the state of a person's biological system. Biomarkers can be used alone or in combination to assess an individual's state of health or disease. A "diagnostic biomarker" is an evaluating tool that can help the physician to determine, confirm, or detect the existence of a medical condition or disease of interest as well as to ascertain whether a victim has an identified disease subtype. These kinds of indicators will become more prevalent considerably as we enter the era of precision medicine. The phrase "monitoring biomarker" refers to a biomarker that is serially assessed for signs of exposure to a medical product or environmental agent, or to test the status of a disease or medical condition to determine the influence of a medical product or biological agent. As a result of exposure of patients to a medication prescribed by a physician or parameter such as environmental factor, "pharmacodynamic/response biomarkers" modify in concentration. Both clinical practice and the initial phases of the development of methods may greatly gain from this particular type of biomarker.
PLANT-BASED VACCINES IN AQUACULTURE: PROGRESS AND FUTURE OUTLOOK
Authors: Bardhan Dr. Avishek , Mukherjee Dr. Debapriyo
Published: June 2024

Aquaculture is crucial for food supply, but disease outbreaks and antibiotic use pose risks. Limited fish vaccines are available, highlighting the need for environmentally friendly solutions like vaccination to address disease control and ensure sustainable aquaculture. Plant genetic engineering offers a promising solution for fish vaccine production. It provides cost-effective and safe alternatives to live virus vaccines, with the ability to perform posttranslational modifications similar to natural systems. Plant-based vaccines have been successfully developed for human and animal health, but progress in fish vaccines lags behind. The currentchaptercondenses the growth of piscine vaccines currently in use and the applicability of the plant-production platform for the same.The utilization of plant biotechnology to develop fish vaccines holds great significance for the aquaculture industry, fish health management, food safety and human health risks.
FUNCTIONALIZED POLYACRYLAMIDE/GRAPHITE COMPOSITES AS AN ADSORBENTS FOR THE DECOLOURISATION OF SYNTHETIC DYES AND DYEING INDUSTRY EFFLUENT FROM FABRIC PROCESSING UNITS
Authors: Kumarasamy Gayathri , Samiyappan Sathishkumar , Samiappan Nirmaladevi
Published: June 2024

In this study we have compared the decolourisation of dyeing industry effluents collected in fabric processing units and synthetic dyes like direct blue 2b, acid violet 17, reactive red M5B and methylene blue 9 from aqueous solution using functionalized polyacrylamide/graphite composites such as glucose grafted polyacrylamide/graphite, glucosamine grafted polyacrylamide/graphite and commercial activated carbon as adsorbents. The adsorption studies are performed by varying the experimental parameters like temperature, time, adsorbate concentration and adsorbent dose. The various physicochemical parameters of dyeing industry effluents such as colour, pH, conductivity, total dissolved solids, hardness, alkalinity, chloride, sulphate, dissolved oxygen, chemical oxygen demand and bio-chemical oxygen demand of the effluents are analyzed before and after adsorption by the standard methods. It is observed that the synthesized adsorbents show more efficiency towards the removal of synthetic dyes from aqueous solution than the decolourisation of dyeing industry effluent. The amount of adsorbents required and cost analysis to treat 10 M3 of effluent is also studied and compared with commercial activated carbon.
PRELIMINARY PHYTOCHEMICAL SCREENING FOR VARIOUS MEDICINAL PLANTS LEAF EXTRACT
Authors: Vijipriya S. , Raguraman V.
Published: June 2024

Objective: An essential first step in discovering the bioactive elements present in medicinal plants that can then result in the discovery and creation of novel medications is the preliminary screening of phytochemicals. The principal phytoconstituents of five medicinal plants from different families were chosen for the current study, and their presence was connected to the bioactivities of the plants. Methods: Using standard techniques, a phytochemical screening of five chosen medicinal plants was performed to check for the presence of flavonoids, alkaloids, carbohydrates, phenols, glycosides, proteins, saponins, phenols. Result: As a result, phenols were present in every leaf extract from the chosen five medicinal plants. Furthermore, all of the selected plants with the exception of Ruellia prostrata contained flavonoids. All plants, with the exception of Pongamia pinnata, contained saponins. Alkaloids, cardiac glycosides, carbohydrates and steroids were present in all the selected plants except Ruellia prostrata, Erythrina indica and Hygrophila auriculata. However, none of the five medicinal plants we chose contained any proteins and terpenoids. Conclusion: According to the study, Ruellia prostrata has the least number of phytochemical components, whereas Pongamia pinnata and Aegle marmelos leaf extract have the most. Secondary metabolites like phenols, saponins and flavonoids which are virtually present in all five medicinal plants, have been shown to act as a capping, reducing, and bio-reducers for the formation of metal and metal oxide nanoparticles.
OPTIMIZATION AND AUTOMATION OF ADSORPTION PROCESSES IN WASTEWATER TREATMENT
Authors: Vijayan Jyothy G , Prabhu T. Niranjana , Singh Amandeep
Published: June 2024

For humanity to survive, it is essential to bring elevated concentration of contaminants in waterbodies down to safe levels. Both traditional purifying methods and new technologies for pollutant removal have been developed and put into use to remove pollutants from wastewater. Using machine learning and optimization processes, new models for adsorption are created. Adsorption efficacy, operating circumstances, and adsorption mechanism are all included in various stages of operations. Recently, desalination and wastewater treatment have both benefited from usage of artificial intelligence. By reducing process costs and maximizing chemical use by avoiding more trial-and-error techniques, artificial intelligence improves the optimization of treatment processes. This chapter discusses issues and provides recommendations for effective application of several optimization algorithms in real-world water treatment systems. This chapter also emphasizes how process variables affect adsorption efficiency and suggests some possible directions for further research, including using mathematical models to predict theoretical adsorption efficiency and applying machine learning to adsorption processes.
A CRITICAL REVIEW ON THE ROLE OF HYDROGEN AS A CLEAN FUEL SOURCE
Authors: Ramteke Dr. Shobhana , Sahu Dr. Bharat Lal
Published: June 2024

Due to population growth and increased human activity, the world's energy requirements have significantly increased. In the modern world, fossil fuels play a significant role in providing energy, but they also contaminate the environment by releasing greenhouse gases into the atmosphere. Hydrogen is a well-known efficient energy carrier and is found in both renewable and non-renewable sources. This review article gives a general overview of the biomass (biological and thermochemical) and water splitting (photolysis, thermolysis, and electrolysis) processes that are used to create hydrogen from renewable sources. Discussions about these methods' shortcomings are present. The study also looks at a number of important obstacles to the global development of the hydrogen economy. The paper concludes with some recommendations for further research for scientists to aid in improving the efficacy of specific production construction mechanisms and policy direction to lessen investment risks in the sector to scale up the hydrogen economy.
FAKTOR TATALAKSANA PASIEN TERKONFIRMASI COVID-19 DI RUMAH SAKIT UMUM DAERAH KABUPATEN MERAUKE
Authors: Wahdana Rayhan Akbar
Published: June 2024

Tatalaksana pasien terkonfirmasi positif Covid-19 merupakan pedoman terhadap tindakan dalam menangani orang yang terkonfirmasi positif Covid-19 melalui pemeriksaan PCR SWAB sesuai dengan derajat keparahannya. Tujuan penelitian untuk mengetahui faktor tatalaksana pasien terkonfirmasi Covid-19 di RSUD Kabupaten Merauke.
Penelitian ini merupakan penelitian kuantitatif dengan desain cross sectional. Populasi dalam penelitian ini adalah tenaga medis tatalaksana pasien terkonfirmasi positif Covid-19 di RSUD Merauke. Sampel dalam penelitian berjumlah 105 orang yaitu dokter umum (n=4), dokter spesialis (n=8), perawat (n=87), dan bidan (n=6) yang diperoleh dari pengisian kuesioner. Teknik sampling menggunakan simple random sampling. Analisis data yang digunakan berupa analisis univariat dan bivariat dengan menggunakan uji statistik yakni uji chi square.
Hasil penelitian yakni perempuan paling dominan (87,6%) dalam melaksanakan tatalaksana pasien terkonfirmasi Covid-19 dengan usia dewasa awal yaitu 26-35 tahun (73,4%) dan memiliki masa kerja baru <6 tahun (37,2%). Kemampuan SDM di Rumah Sakit Umum Daerah Kabupaten Merauke sebagian besar (61%) berkategori baik dan beban kerja berlebih (71,4%). Fasilitas tatalaksana pasien terkonfirmasi Covid-19 di Rumah Sakit Umum Daerah Kabupaten Merauke memenuhi syarat pedoman (72,4%). Hasil pengujian dari penelitian menunjukkan bahwa terdapat hubungan antara fasilitas (p=0,033;PR:2,970) dengan tatalaksana pasien terkonfirmasi Covid-19. Namun tidak terdapat hubungan kemampuan sumber daya manusia kesehatan (p=0,763;PR:1,168), dan beban kerja (p=0,149;PR:2,116) dengan tatalaksana pasien terkonfirmasi Covid-19 di Rumah Sakit Umum Daerah Merauke.
 
Kata Kunci :Tatalaksana, Fasilitas, Covid-19
POLA PENGGUNAAN ANTIBIOTIK RESERVE DI UNIT INTENSIF DAN NON INTENSIF RAWAT INAP RSUP FATMAWATI
Authors: Subhan Ahmad , Oktamauri Ariesa , Haifa Alifia , Wardani Tita Kusuma
Published: June 2024

Tingginya jumlah peresepan dan penggunaan antibiotik di Rumah Sakit seluruh dunia termasuk Indonesia menimbulkan resiko ketidaktepatan penggunaan antibiotik yang dapat mengakibatkan resistensi antibiotik. WHO telah mengembangkan sistem klasifikasi AWaRe (Access, Watch, Reserve) sebagai respons terhadap krisis ini. Antibiotik kategori reserve telah dibatasi penggunaannya. Namun, bukti yang tersedia tidak cukup untuk menyimpulkan adanya dampak pembatasan ini serta kaitannya dengan luaran klinis pasien. Studi ini bertujuan untuk mengevaluasi pola penggunaan antibiotik kategori reserve serta luaran klinis pada pasien rawat inap intensif dan non intensif di RSUP Fatmawati periode April - Mei 2024. Desain yang digunakan yaitu cohort prospektif. Subyek penelitian merupakan total sampling dari seluruh pasien rawat inap yang menerima antibiotik reserve. Kemudian dilakukan analisa statistik menggunakan SPSS 25. Proporsi penggunaan antibiotik reserve terbesar yaitu di ruang ICU (27,6%). Antibiotik golongan reserve yang digunakan yaitu Meropenem (83,71%), Aztreonam (2,33%), Cefepime (2,33%), Vankomisin (9,30%), dan Ceftazidim (2,33%). Antibiotik tersebut paling banyak digunakan untuk diagnosis sepsis & syok sepsis (72,10%). Pasien yang menerima antibotik dengan tepat sebanyak 9.3%. 75,0% diantaranya mengalami perbaikan dan 25,0% mengalami perburukan. Sedangkan pada pasien dengan antibiotik tidak tepat, 48,7% diantaranya mengalami perburukan. Ketidaktepatan antibiotik meningkatkan risiko pasien mengalami perburukan (OR = 2,8; p = 0,359). Ketidaktepatan pemberian antibiotik reserve  terjadi pada sebagian besar pasien terutama pada durasi dan dosis antibiotik.
นาโนคอมพอสิตของพอลิแล็กทิกแอซิด/เอทิลีนไวนิลแอซีเทตโคพอลิเมอร์เติมด้วยนาโนไฮบริด พอลิเมทิลเมทาคริเลต/ซิลิกา
Authors:   , พงค์เกษม จัสมิน
Published: June 2024

นาโนคอมพอสิตของพอลิแล็กทิกแอซิด/เอทิลีนไวนิลแอซีเทตโคพอลิเมอร์ (อีวีเอ) ถูกเตรียมด้วยนาโนซิลิกาและนาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกา (1, 3 และ 5 ส่วนโดยน้ำหนักต่อเรซินร้อยส่วน) ด้วยการผสมแบบหลอมเหลวในเครื่องผสมแบบปิดตามด้วยเครื่องอัดแบบ โดยนาโนเลเท็กซ์ของพอลิเมทิลเมทาคริเลต/นาโนซิลิกาถูกสังเคราะห์ด้วยกระบวนการเกิดพอลิเมอร์ ‘อิน ซิทู’ ดิฟเฟอเรนเชียลไมโครอิมัลชัน ซึ่งนาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกาที่เตรียมได้มีร้อยละการกราฟต์เท่ากับร้อยละ 90.9 และมีขนาดอนุภาคเฉลี่ยและพื้นที่ผิวเท่ากับ 43.4 นาโนเมตร และ 71.3 ตารางเมตรต่อกรัม ตามลำดับ จากการศึกษาสัณฐานวิทยา พบว่า อนุภาคนาโนไฮบริดแสดงลักษณะโครงสร้างแบบแก่น-เปลือก ที่มีนาโนซิลิกาเป็นแก่นกลางและพอลิเมทิลเมทาคริเลตเป็นเปลือก ขั้นแรกพอลิเมอร์ผสมพอลิแล็กทิกแอซิด/อีวีเอที่อัตราส่วนต่างๆ (อีวีเอ ร้อยละ 10-30 โดยน้ำหนัก) ได้ถูกเตรียม และพบว่า ความทนแรงกระแทกและการยืดตัว ณ จุดขาดได้รับการปรับปรุง ขณะที่ยังส์มอดุลัสและเสถียรภาพทางความร้อนมีค่าลดลงเมื่อเติมอีวีเอลงในพอลิแล็กทิกแอซิด เนื่องด้วยพอลิเมอร์ผสม 90/10 พอลิแล็กทิกแอซิด/อีวีเอมีสมบัติเชิงกลที่เหมาะสม จึงถูกเลือกเพื่อเตรียมนาโนคอมพอสิตด้วยนาโนซิลิกาและนาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกา จากผลการทดลอง พบว่าการเติมนาโนซิลิกาหรือนาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกาในพอลิเมอร์ผสม 90/10 พอลิแล็กทิกแอซิด/อีวีเอ ได้ปรับปรุงความทนแรงกระแทกและเสถียรภาพทางความร้อน หากแต่การยืดตัว ณ จุดขาดมีค่าลดลง นอกจากนี้ การเติมนาโนซิลิกาส่งผลให้ความทนแรงดึงและยังส์มอดุลัสมีค่าลดลง ขณะที่ความทนแรงดึงและยังส์มอดุลัสของนาโนคอมพอสิตด้วยนาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกา มีค่าเพิ่มขึ้น โดยสรุป พบว่านาโนไฮบริดของพอลิเมทิลเมทาคริเลต/นาโนซิลิกา แสดงประสิทธิภาพในการเสริมแรงได้ดีกว่านาโนซิลิกาที่ปริมาณการเติมสารตัวเติมที่เท่าๆ กัน เนื่องจากมีแรงยึดเหนี่ยวระหว่างพอลิเมอร์-สารตัวเติมที่มากกว่า
Mathematical Modeling of Illicit Drug Use Dynamics Examining the Impact of Recycling Recovered Individuals into the Population.
Authors: Rwat Solomon Isa  , Sabastine Emmanuel  , Nanle Tanko Danat  , Shehu Sidi Abubakar  , Tsok Samuel Hwere  , Usman Garba
Published: June 2024

Illicit drug use continues to pose a significant threat to public health and societal well-being. This study aims to develop a comprehensive mathematical model that captures the dynamics of illicit drug use, considering different categories such as susceptible individuals, exposed individuals, drug addicts, and individuals in recovery. The model accounts for the fact that recovered individuals may not develop lifelong resistance to drugs and that those exposed to drug use cannot introduce new individuals into drug usage. Through the mathematical model, we seek to enhance our understanding of the behavior and patterns of illicit drug use, contributing valuable insights to the field of drug-related research. Additionally, the study explores the properties of the proposed model and utilizes the next generation matrix method to calculate the effective reproduction number. Furthermore, a sensitivity analysis is conducted to evaluate the impact of various parameters on the reproduction number, identifying the most effective control measures for mitigating the spread of drug-induced issues. The findings of this study serve as a warning indication to individuals and governments, emphasizing the need to intensify efforts in combating drug abuse. Moreover, the study highlights the importance of considering backward or forward bifurcation phenomena in determining the local stability of the model system at the endemic equilibrium point. This research contributes to the ongoing efforts to understand and address the complex challenges posed by illicit drug use, offering insights that can inform policies and  interventions aimed at curbing the spread of drug abuse and promoting overall community well-being.
A Deep Learning Approach for Face Detection and Recognition to Initiate Human-Robot Conversation
Authors: Abdul Halim Ismail  , Mohammed Khaled Ahmed Al Ghaili  , Mohamad Amir Hamzah Md Yusof  , Saeed Akash Mastoi  , Muhammad Hisyam Rosle  , Bukhari Ilias  , Muhamad Safwan Muhamad Azmi
Published: June 2024

Artificial Intelligence (AI) is currently booming at almost all field. The inauguration of OpenAI ChatGPT using Natural Language Processing (NLP) has played a vital role in exposing AI to the public. It is estimated about 1.8 billion users visit ChatGPT site in a month, with further planning of apps creation in iTunes Apple App Store and Android Google Playstore. Therefore, it is interesting and natural to implement such technology in robotic field. This paper presents the attempt to employ AI into the mobile robot system towards the main goals of conversational intelligence between human and robot. First, the robot head is designed and assembled, then a screen that functioned as the robot face is attached. Afterwards the detection and recognition system were developed giving the ability to the robot to recognize registered persons and the robot eye is able to track where the person is, in the camera Field-of-View (FOV). In addition, all these systems are developed on in-situ device i.e. NVIDIA® JetsonTM Nano. It is targeted that the proposed system is able to initiate a natural conversation between a robot and a human user.
Development of N-Period Dynamic Programming Model for Determining EOQ under Stochastic Demand
Authors: Sheikh Hassan Aisha
Published: June 2024

This paper demonstrates an approach to determine the EOQ of an item under a periodic review inventory system with stochastic demand. Using N-Period dynamic programming planning horizon, we analyse the ordering policy during each period considering when demand is favorable or unfavorable to determine the EOQ and the associated profit at the end of each planning horizon. The objective is to determine in each period of the planning horizon, an optimal EOQ so that at the long run profits are maximized for a given state of demand. We also generate a formula to determine the number of matrix transitions for each planning horizon until final stage and then prove the formula by the principle of mathematical induction.
The importance of waste management: Some observations on Albania
Authors: SARACI Anisa , LAGIOIA Giovanni
Published: June 2024

Purpose: We inhabit an epoch confronted by formidable challenges that imperil our collective well-being. The reliance of economies on fossil fuels, coupled with widespread deforestation, has exacerbated the greenhouse effect, resulting in the degradation of numerous ecosystems and the alteration of the global climate. Concurrently, there is a fervent pursuit of non-renewable resources, heralding a pivotal contest among major producers. The proliferation of production and consumption has engendered a staggering volume of waste, whose mismanagement risks precipitating extreme levels of pollution across land, water, and the atmosphere. These pressing concerns underscore the imperative for a transition from a linear to a circular economic model. The purpose of this article is to elucidate these challenges and conduct a comprehensive comparative analysis between the Waste Management Systems of Albania and those of Europe. Methodology: A qualitative research study was undertaken to analyse pertinent data, reports, and legislation. The paper draws upon secondary data sourced from various entities, including the World Bank, Eurostat, INSTAT Albania, EU legislation, and reports. Findings: The findings suggest that the primary waste management strategy in Albania involves landfilling, which is considered the least effective method for waste treatment and utilization. While Albania endeavors to align with the guidelines provided by the European Union, it still lacks a waste management system capable of meeting the established objectives. Value: By delineating the challenges faced by Albania and juxtaposing them with those encountered by EU member states, this paper initiates a broader discourse on innovative strategies, emerging technologies, and cultural influences necessary to attain an effective waste management model. Key words: waste management, circular economy, environment, Albania.
The Influence of Social Media Networks on Families Dynamics: Opportunities and Challenges
Authors: Khalili Barge Gul , Qargha Rahima , Quraishi Tamanna
Published: June 2024

Social media has become deeply entrenched in contemporary society, impacting family dynamics and communication. This study delves into how faculty members and students perceive and engage with social media within family settings across diverse academic disciplines and age groups. Understanding these perceptions is crucial for comprehending its impact on family relationships, privacy, and communication patterns. The research aims to uncover insights into the positive and negative effects of social media on families and assess the likelihood of leveraging it to strengthen familial bonds. Through a stratified sampling method, 160 participants were selected, and data was collected via a structured questionnaire distributed electronically. Analysis using SPSS and Excel revealed nuanced perspectives, with participants expressing concerns about privacy breaches, negative impacts, and communication breakdowns. The findings underscore the intricate interplay between social media and family dynamics, emphasizing the need for a balanced understanding of its effects. By acknowledging both challenges and opportunities, families can navigate the digital landscape more effectively, fostering positive communication and strengthening familial bonds.
Moringa (Moringa oleifera Lam.) leaf extract as biostimulant to enhance growth and yield of bitter gourd (Momordica charantia L.)
Authors: Pusta Melrose , Macusi Erna
Published: June 2024

Overreliance on synthetic agricultural inputs, such as inorganic fertilizers and pesticides that pose health and environmental risks has led to a continuous quest for more sustainable and ecologically sound approaches to crop production. This study explored using Moringa Leaf Extract (MLE) as a natural plant-based biostimulant to enhance the productivity of bitter gourd. It investigated the effects of foliar MLE application on the growth, compared to water and ethanol as solvents. The experiment was arranged in a Randomized Complete Block Design (RCBD) with three replications and five treatments: T1- 0 Application; T2- AVRDC Recommended Rate of Fertilizer (RRF) + Tap Water Spray; T3- RRF + Tap Water Spray; T4- RRF + MLE (water solvent); and T5- RRF + MLE (ethanol solvent). Data on vegetative growth, flowering, yield, and yield components were analyzed using ANOVA, while the Duncan Multiple Range Test (DMRT) was used to compare differences in treatment means. Results showed that except for vine and fruit length, MLE application significantly improved most attributes of bitter gourd, including days to 50% flowering, number of marketable fruits and fruits per plant, and average fruit weight and yield. Ethanol as a solvent for MLE yielded the best results, although statistical analyses revealed no significant differences between the two extracting solvents. The application of MLE, regardless of the solvents used, proved to be an effective biostimulant offering an alternative and environmentally friendly approach to enhance the productivity of bitter gourd.
Factors Affecting Company Value In The Consumer Noncyclical Industry Sector Listed On The Indonesia Stock Exchange (IDX)
Authors: Nursela Lusi , Siswani Melina , Budianto Erwin
Published: June 2024

Company value is a measure of the success of a company on its operational activities. This study aims to determine the factors that can affect the value of companies in the Consumer Non-Cyclical industrial sector listed on the Indonesia Stock Exchange (IDX). By using the perposive sampling method to determine the number of research data samples obtained by 66 companies. The data were analyzed using the classic Moderated Regression Asset (MRA) assumption test with SPSS version 25 for windows. The results of this study show that Return On Asset (ROA) affects company value, while Total Asset Turnover (TATO) does not affect company value, but Return On Asset (ROA) and Total Asset Turnover (TATO) simultaneously affect company value in the Consumer Non Cyclical industry sector. The conclusion is Return On Assets (ROA) has a partial effect on company value (PBV) in non-cyclical consumer sector companies listed on the IDX in 2020-2022 or ho rejected and ha accepted.
Nuevas aportaciones al estudio del 'modus vivendi' de las 'mulieres religiosae' en el Reino de Sevilla durante la Baja Edad Media (Jerez de la Frontera, 1392-1520)
Authors: Ruiz-Berdejo Beato Alberto
Published: June 2024

El presente artículo se centra en el estudio las mulieres religiosae en el ámbito geográfico del reino de Sevilla, más concretamente en la ciudad de Jerez de la Frontera, segunda en importancia de dicha región. De este modo, teniendo siempre en el horizonte el modelo hispalense, pretende ampliar el nivel de conocimiento de este sector de la sociedad, sus opciones vitales y su modus vivendi. Con este objetivo, analiza la documentación conservada en el Archivo Histórico de Protocolos Notariales de Jerez de la Frontera (AHPNJF) para el período comprendido entre 1392 y 1520 y profundiza en los aspectos materiales de la vida cotidiana de estas mujeres, su consideración social y, de forma excepcional, algunas parcelas de su espiritualidad.