bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPACT OF DIGITAL MARKETING PLATFORM ON BUYING DECISION
Authors: Syed Abid Hussain Dr. , Afzalur Rahman Dr.
Published: June 2024

Due to the access that consumers have to product and service information, customer reviews, and customised recommendations based on previous search and purchase conduct, digital marketing platforms have a significant impact on consumer purchasing decisions. Companies may target a specific client demographics, interests, and conduct through digital marketing platforms, which promotes the adequacy and efficiency of their marketing efforts. By increasing engagement and conversion rates, this focused strategy could ultimately make an impact on consumers' purchase decisions. In addition, consumers can buy online whenever they choose and from anywhere thanks to the ease of digital marketing platforms, which makes the process of purchasing faster, simpler, and more accessible. The ease of making purchases is increased by the accessibility of online payment methods. In conclusion, through targeted advertising, individualised recommendations, and practical shopping experiences, digital marketing platforms play a critical role in influencing customer behaviour and influencing purchases. The study's primary goal is to evaluate the variables influencing consumers' choice to make a purchase via digital marketing. The study happened to be carried out in Bangalore during the month of January 2023. The sample respondents are carefully chosen from those who have made purchases through the internet in order to quantify and understand the role of digital marketing in buying choices. The sampling technique of choice is used to choose 300 sample respondents. Finally, the results paint a better picture of how to improve the success of digital marketing as a strong tool channel for product promotion.
BIO-SIGNAL PROCESSING
Authors: Singh Nitin Kumar , Kumar Ajeet , Singh Shikha , Kumar Vivek , Kumar Dharmendra , Singh Sakshi
Published: June 2024

Physiological signals including EEG, ECG, and EMG are acquired, analysed, and interpreted as part of the bio signal processing process. This interdisciplinary field uses signal processing methods to take useful information out of bioelectric signals so that physiological activities may be understood and medical research and diagnostics can be aided. The comprehensive abstract would explore distinct approaches, uses, and developments in biosignal processing, emphasising its essential function in deciphering the intricacies of biological systems.
BRAIN & COMPUTER INTERFACE
Authors: Raman Antariksha , Vaidya Aryan , H Jeevan , Goswami Anindita , Mahadev Dr. Soumya C
Published: June 2024

A Ground breaking technology called a brain-computer interface (BCI) makes it possible for the human brain To talk without delay with different objects like computers or prosthetic limbs. BCIs are incredibly promising for use in interactive, assistive, and medical usage since they can record and analyse brain signals. The ideas, applications, difficulties, and potential applications of BCI are succinctly summarised in this abstract.BCIs work by identifying and interpreting brain activity, frequently with the use of EEG or neural implants. These signals are subsequently translated into commands by machine learning algorithms, allowing users to operate equipment mentally. Medical uses include helping those who are paralysed or have neurological conditions, giving them an opportunity to regain motor function and enhance quality of life. BCIs also make it possible for virtual experiences to be more immersive and improve human-computer interaction.However, there remain few issues. On-going difficulties involve properly and safely decoding complex brain impulses, addressing ethical issues with cognitive augmentation, and dealing with data privacy. Potential advantages and risks must be considered as the sector develops. For ethical BCI development, partnerships between neuroscientists, engineers, ethicists, and regulators are essential. BCIs have amazing potential in the future. BCIs may become more portable and user-friendly thanks to advancements in miniaturisation, wireless technology, and signal processing. With more study, even broader applications could be found, ranging from new ways to express oneself to improving cognitive function. BCIs have the potential to fundamentally alter how the world communicates with technology and one another, but serious thought must still be given to their consequences for science, ethics, and society.
A COMPARATIVE STUDY ON ELECTRONIC WASTE (E- WASTE) MANAGEMENT USING BIOLOGICAL SYSTEMS
Authors: Bhattacharjee Keka
Published: June 2024

Technologically powered contaminants acknowledged certainly e-waste, comprise used electrical utilities whose services necessitate reclamation or suited disposal. Minimizing E-waste is a global question primarily due to the hazardous carcinogenic properties of some of its components when not handled correctly.
CURRENT APPROACHES FOR BIOREMEDIATION OF POLLUTANTS TOWARDS SUSTAINABLE ENVIRONMENT
Authors: Kumari Mrinalini , Subhashini Ms. , Sah Shyam Babu , Kumar Tribhuwan
Published: June 2024

Environmental pollution is a significant threat to the domain and human health. The pollutants, like polychlorinated biphenyls, agrochemicals, plastics and heavy metals are toxic and non-biodegradable present in the environment. Bioremediation removes such pollutants from polluted environments. Various aerobic and anaerobic microorganisms are used in bioremediation for eliminating degrading, detoxifying and immobilizing the pollutants from the environment. The main goal of bioremediation is to deteriorate the pollutants and convert it to innocuous forms. This can be achieved through in situ or ex situ bioremediation, based on the polluting agents, their concentration and the cost. This chapter highlights the most current advances in the techniques used for bioremediation process, the break down action of different pollutants, and subsequent strategies for bioremediation
THE MICROBIAL DIVERSITY AND PHYSIO-CHEMICAL ANALYSIS OF VERMICOMPOST AND BIOCOMPOST SOIL AND THEIR EFFECT ON GROWTH AND YIELD OF PHASEOLUS MUNGO
Authors: Krishnaveni Dr. R. , Ashrin M. Asheera , Nachiya H. Asiya , Nihar J. Haslin , Ramya G.
Published: June 2024

Vermocompost is a biological process where Earthworm plays a important role on decomposing of waste materials like dried leaf and soil. It is a bio-oxidative process The earthworms interact intensively with microbes and accelerating the organic matter and modifying its biochemical properties. Vermicomposting systems ia a Biotic interactions between decomposers. The functional diversity and subsrate quality are the main Effect of these systems(sampedro and Domeiguez, 2008) The microbial amount is rich in vermicompost. The Growth and yield and production of leave is higher in vermicompost soil. vermicompost is rich nutrient content.
BIOFUEL - PROCESS, NOVEL APPROACHES, FUTURE PERSPECTIVES
Authors: Karthikeyan P. , Shobana Dr. S.
Published: June 2024

An increasing population leads to an escalated usage of vehicles, which in turn fosters a situation to utilize these conventional fuels (namely petrol, diesel, and natural gas) at a high rate. This leads to the diminution of natural resources, in addition to the statement, an enhanced level of greenhouse gases in the atmosphere yielding Global Warming. To alleviate these consequences. There is a need for the production of some other non-conventional resources as a backup or any other alternative fuel. Here comes the role of Biofuel as an alternative fuel. These biofuels are sorted out into different groups based on their sources. This field of biotechnology has numerous scopes in the forthcoming years. It had crossed the paths of its development that is near to a century. This chapter discloses in detail the biofuels, sources, and case studies in the production of biofuels or explains the recent approaches such as optimizing the production, utilizing novel substrates, and modifications made in the bioreactor design for the improvements in the yield. This chapter also includes novel catalysts used for the production process and also comprises techniques for the extraction of biofuels from a reaction mixture short. The measuring parameters to evaluate the performance of biofuels in engines and the considerations to be checked are described. The applications of Nanoparticles and their effects in improving the efficiency of biofuel production were explained in this chapter
BIOREMEDIATION ANALYSIS: STRATEGIES, MECHANISMS, AND APPLICATIONS
Authors: D Joyce Hellen Sathya. , Srilakshmi Aasika , S Shobana , K Sathish Kumar.
Published: June 2024

Environmental pollution poses signiﬁcant challenges to ecosystems and human health, warranting innovative solutions for effective remediation. Bioremediation, a bio-based approach, has gained prominence as a sustainable and versatile strategy for mitigating diverse pollutants. This comprehensive analysis delves into the intricacies of bioremediation, encompassing its strategies, underlying mechanisms, and wide-ranging applications. The analysis commences by outlining the fundamental principles of bioremediation, which involves the utilization of microorganisms, plants, and enzymes to degrade or transform contaminants into benign byproducts. Various bioremediation strategies, including in-situ and ex-situ techniques, bioaugmentation, and phytoremediation, are explored in detail, shedding light on their respective advantages and limitations. Mechanistically, the study elucidates the intricate pathways by which microorganisms metabolize pollutants, encompassing processes such as aerobic and anaerobic degradation, co-metabolism, and biosorption. The roles of microbial consortia and their synergistic interactions in enhancing remediation efficiency are discussed, along with the inﬂuence of environmental factors like pH, temperature, and nutrient availability. A focal point of the analysis is the diverse spectrum of pollutants amenable to bioremediation, spanning hydrocarbons, heavy metals, pesticides, emerging contaminants, and recalcitrant compounds. Case studies exemplify successful bioremediation applications in real-world scenarios, highlighting the adaptability of this approach across varied polluted environments.
LINGZHI (GANODERMA LUCIDUM): "LINGZHI (GANODERMA LUCIDUM): A POTENTIAL SOURCE OF NUTRACEUTICALS AND PREBIOTICS"
Authors: Bhadoriya Sandeep Singh , Wadagbalkar Prashant , Bisen Prakash Singh , Parihar Mordhwaj Singh
Published: June 2024

The current research highlights the urgent need for the scientific community to promote Ganoderma lucidum as a potential source of nutraceutical and prebiotic products. To characterise the active component (s) of this alleged medicinal mushroom, as well as to discover mechanisms of action, techniques for improving quality control systems are required to define and standardise G. lucidum formulations. The current review will result in a new generation of foods and will undoubtedly encourage both their dietary and therapeutic benefits.
A NOVEL HYBRID NEURO-FUZZY MACHINE LEARNING BASED PREDICTION MODEL FOR BEARING CAPACITY OF SHALLOW FOUNDATION
Authors: Chowdhury Akash Sankar , E P Shashwath
Published: June 2024

In the design of structures, the carrying capability of shallow foundations is crucial. Particularly when the soil is complex or varied, traditional methods for calculating bearing capacity can be unreliable. In this study, a hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO) model is used to determine bearing capacity. Fuzzy logic and neural networks are combined in the ANFIS-PSO model to learn intricate correlations between input and output variables. The model parameters are optimized using PSO, leading to a more precise and trustworthy forecast of bearing capacity. Using a dataset of experimental data from shallow foundations, the ANFIS-PSO model was assessed. With an R2 value of 0.90274 and an RMSE score of 0.0552, the model successfully predicted bearing capacity. These findings show that the ANFIS-PSO model is useful for calculating bearing capacity. The ANFIS-PSO model has a number of benefits over conventional techniques for calculating bearing capacity. First, the model can accommodate language explanations of uncertainty and soil mechanics data. Additionally, the model may identify non-linear connections between various soil metrics. Third, the model can refine its parameters to increase precision. The bearing capacity assessment process may undergo a revolution thanks to the ANFIS-PSO model. The model can be used to build safer and more cost-effective structures since it is more precise and reliable th
LIGHTING IN INTERIORS
Authors: Praneetha Erepally Sri Prabha
Published: June 2024

This chapter explores the fundamental aspects of illumination, covering natural and artificial light sources and their applications in interior spaces. It introduces the significance of lighting in shaping ambiance and functionality, discussing light generation and essential units of measure for a comprehensive understanding. The chapter emphasizes the importance of day lighting in architectural design, showcasing how natural light creates sustainable and visually appealing spaces. It delves into smart systems for managing daylight in buildings. Moving on to artificial light, the chapter traces the evolution of lighting technologies, analyzing various types like incandescent, fluorescent, LED, etc., and their applications.Practical applications of artificial lighting in diverse interior spaces are examined, enhancing functionality and aesthetics. The chapter explores lighting strategies for bedrooms, offices, retail stores, and specialized environments. Additionally, it delves into futuristic trends, including smart lighting, human-centric concepts, and advanced materials like OLEDs and quantum dots, shaping the future of lighting design.
A CASE STUDY ON SUPPLY CHAIN MANAGEMENT IN RESIDENTIAL BUILDING CONSTRUCTION AROUND MYSURU
Authors: K Puneeth
Published: June 2024

Supply Chain Management involves the coordination, oversight, and strategy governing the flow of labor and products, encompassing all processes that convert raw materials into end products or transform them into final goods. It entails the dynamic optimization of a company's inventory-related activities to maximize customer value and establish a competitive advantage in the market. The primary objective of supply chain management is to meet requirements, enhance customer value, improve responsiveness, ensure economic success, and build a robust organization. Within the construction industry, the construction supply chain plays a pivotal role in fostering competition. Supply chain management in the construction sector contributes to project enhancement by aiding in improving competitiveness, increasing profitability, and exerting more control over the various factors and elements within the project. This study explores the characteristics of the construction supply chain, the challenges and issues faced by supply chains, and the benefits of an integrated supply chain within the construction sector in Mysuru.
PRODUCT SIGNED DOMINATING FUNCTION
Authors: Velammal T. M. , Nagarajan A. , Palani K.
Published: June 2024

Let G=(V,E) be a simple graph. A function f:V→{-1,1} is called a product signed dominating function, if f[v]=1 ∀v∈V where f[v]=∏_(u∈N[v])▒〖f(u)〗 and N[v] denotes the closed neighborhood of v.The weight of a graph G with respect to the function f which is hereafter denoted by w_f (G)=∑_(v∈V)▒〖f(v)〗. The minimum positive weight of a product signed dominating function is called product signed domination number of a graph G and is denoted by γ_sign^* (G). In this paper, we discuss product signed dominating functions for some special graphs.
NONLINEAR QUANTUM ALGEBRAIC TOPOLOGICAL MODEL FOR COMPUTING MINIMUM TRANSITION HOMOLOGIES USING JOINT CLUSTER PAINLEVE NETWORK THEORY
Authors: Rajeswari V. , Nithiya Dr. T.
Published: June 2024

Developing immense in network communication, complex topology is one of main structural problem in Transition homologies. Due to this nonlinear structure creates a redundant network life time foe energy loses due to distance theory of connective nodes in network leads data transmission failures. Existing analytics model estimates the linear substance based distance theory to process the Data Transition Homologies (DTH) indeed of nonlinear structure because of dynamic topology in homotphy to improve the network communication. To resolve this problem, we propose a Nonlinear Quantum Algebraic Topological (NQAT) model for computing the minimum Transition homologies using painleve network theory to improve the homological network structure for network life time improvement. This proposed system forming best joint cluster network path 〖lim┬(t-→∞) 2 (x+y)〗⁡〖(2(n+1(t)))/(α (t))〗 at 'α' variance at x^' time to create network structure. To create joint cluster by estimating immediate consequence of the orthogonally node condition is the recurrence relation between transient node based on response rate. This chose the best energy level supporting node to construct a topology to improve the network lifetime maximization.
APPLICATION OF RAJ TRANSFORM FOR SOLVING MATHEMATICAL MODELS OCCURRING IN HEALTH SCIENCE AND BIOTECHNOLOGY
Authors: Ugale Mr. Sharad Balu
Published: June 2024

A lot of mathematical models including differential equations play an important role in healthcare and biotechnology. One of them is the Malthus model. This model was developed by Thomas Malthus in his essay on world population growth and resource supply. Another exciting equation is the Advection diffusion equation and the Predator-prey model. We use an integral transform modified Sumudu transform called as Raj transform to obtain the solutions of these models which are important in biotechnology and health sciences.
ANALYSIS OF V-D BASED FEATURES FOR DISTRACTED DRIVER MONITORING SYSTEM USING DEEP LEARNING
Authors: Potluri Dr. Tejaswi , Nyaramneni Sarika , Somavarapu Jahnavi , Ravikanth Dr. M.
Published: June 2024

According to the survey, ‘Distracted Driving in India: a study mobile phone usage, pattern & behavior’ by SaveLIFE Foundation, details that, in the last decade alone, India lost 1.3 million people to road cashes and many are injured. India has the highest number of road crash fatalities, while it is just 1% of the world’s vehicles, India accounts for over 10% of global road crash fatalities. The most frightening thing is that this is only one of the many ways a driver is being distracted like drowsiness, procrastination, eating, drinking, talking to the passengers, etc. Advanced safety technology called a Driver Distraction Detection System (DDDS) is used to spot distracted drivers and warn them. This system tracks the driver's actions and surroundings using a variety of sensors, including cameras and accelerometers. To detect whether the driver is distracted, such as by texting or using a mobile phone, eating, or drinking, or nodding off, the data is then analyzed by a sophisticated algorithm. The DDDS prompts the driver when they need to focus again, which can greatly lower the likelihood of accidents brought on by distracted driving. Most driver monitoring systems are already embedded in vehicles to detect distraction using vehicle-based features such as ADAS (advanced driver assistance systems). There are other DMS models based on driver monitoring camera. Owing to the cost of ADAS systems, they are available only in premium cars. Our proposed solution is not a substitute for a commercial ADAS system but a step towards low-cost driver safety options. Authors are not only considering vehicle-based features but also monitoring the driver’s behavior using Convolutional Neural Network (CNN) model. Because of its modularity, the system should be easy to fit in any car at an affordable price.
FUTURISTIC TRENDS IN AI
Authors: Chhabria Dr. Sharda , Gholap Mr. Jayvardhan
Published: June 2024

This chapter investigates AI's future developments, with an emphasis on machine learning and deep learning applications. It looks at unusual and unusual patterns that have the potential to change the AI environment. Swarm Intelligence and Collective Learning, Quantum Machine Learning, Neuro Evolution and Evolvable Neural Networks, and Explainable AI with Transparent Models are among the themes discussed. Each trend is thoroughly studied, including definitions, overviews, applications, case studies, benefits, obstacles, and future possibilities. The chapter also stresses how these trends are being integrated into diverse areas such as healthcare, finance, robotics, and autonomous systems. Exploration of these developing patterns offers vital insights into the promise and constraints of AI technology, paving the path for future ethical and innovative AI applications.
A COMPREHENSIVE REVIEW ON DEEP LEARNING TECHNIQUES USED IN DIAGNOSING RETINAL DISEASES ON FUNDUS IMAGES
Authors: Madhavi V Vijaya , Surya Kumari Dr. P. Lalitha
Published: June 2024

Due to the exponential growth of the computing infrastructure, there has been an unheard increase in the deployment of computer vision, deep learning in recent years. This was true for fundus image processing: effective AI models were created employing a range of visual markers extracted from eye image data to identify various retinal diseases. The detection of five important eye diseases—diabetic retinopathy, glaucoma, age-related macular degeneration, cataract, and retinopathy of prematurity—has been made possible in recent years by the use of a variety of deep learning techniques. This article is structured along a pipeline for implementing deep learning, providing a detailed overview of different approaches to each of the five aforementioned retinal diseases, followed by an introduction to commonly used datasets, metrics, image preprocessing techniques, and basic models for deep learning. The article concludes by listing the eight main study areas that are now being studied in the area of diagnosing retinal diseases, outlining their primary difficulties and potential future prospects for the research community at large.
THE ROLE OF ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, AND DEEP LEARNING IN THE RADIOLOGY DEPARTMENT
Authors: Kumar Dr. Dheeraj
Published: June 2024

The radiology department contributes significantly to modern healthcare by using a variety of imaging techniques to help with illness diagnosis, observation, and therapy. It is incharge of taking and analyzing medical pictures, working with other medical specialists, and assuring precise and prompt diagnosis. The radiology department's duties and responsibilities include a diverse variety of tasks. The department's primary function is the performance of diagnostic imaging techniques such as X-rays, CT scans, MRIs, ultrasounds, and nuclear medicine studies. With the use of these imaging techniques, radiologists may see inside organs, tissues, and structures, which aids in the diagnosis and classification of disorders. Second, picture interpretation and reporting are the responsibility of the radiology department. In conclusion, AI has already significantly improved image analysis, workflow optimization, and decision-making assistance in the field of radiology. The future of AI in the radiology department offers even more innovations and improvements in patient care as research and development proceed.
MACHINE LEARNING BASED SOFTWARE PROJECTS ALLOCATION USING FLOWER POLLINATION OPTIMIZATION ALGORITHM
Authors: Mamatha R. , Kumari Dr. P. Lalitha Surya , Sharada Dr. A.
Published: June 2024

Resources are often scarce, and projects will constantly need them. The act of allocating and scheduling the available resources in the most effective and efficient way is known as resource allocation24. Therefore, a project manager's responsibility is to choose the best time for those who must adhere to the project's timetable. Allocating resources to a project In accordance with the business plan and the resources at hand, management is a continual activity that must be performed effectively. This study employs the Flower Pollination Algorithm to try to solve the resource allocation problem (FPA). First, the historical project data from the organization is taken into account to extract the necessary features using FPA and input them into the machine learning algorithm for decision-making. This approach benefits the project leads and management. This method helps the project managers/leads to save their time in allocating the task to the right person and it does very efficiently without any bias in allocation.
NUCLEAR PHYSICS EXPLORING THE ATOM'S MYSTERIES MODERNIZATIONS IN NUCLEAR PHYSICS, INVESTIGATING THE BASICS OF ENERGY AND MATTER
Authors: Ayoub Aasir
Published: June 2024

In our quest to comprehend the fundamental constituents of matter and the forces that control their interactions, nuclear physics plays a significant role. The behaviour of protons, neutrons, and other subatomic particles within an atom's nucleus, which contains more than 99.9% of its mass, is analysed. Our understanding of nuclear physics has greatly improved recently as a result of advancements in experimental methods and theoretical models. The significant developments in this field and how they increase our understanding of matter and energy are discussed in this paper.
THIN FILM HETEROSTRUCTURES
Authors: Dagar Rahul , Pal Shalini
Published: June 2024

Complex thin film heterostructures of transition metal oxides exhibit an astonishing diversity of physical properties. Some of these properties are high dielectric permittivity, piezoelectric, pyroelectric, and ferroelectric behaviors. Moreover, this class of materials holds promise for even more extraordinary applications, such as exploiting high-temperature superconductivity and colossal magnetoresistance. Recent progress in deposition techniques has led to oxide heterostructures with structural quality comparable to top-tier conventional semiconductors, elevating oxide electronics to unprecedented heights. Through these heterostructures, researchers can create artificial multifunctional materials, revealing intriguing phenomena at the interfaces where compounds with distinct structural and electronic properties come together to form an interface and give a route to new emerging physics. This newfound understanding grants access to previously unexplored physics arising at oxide interfaces, presenting a wealth of exciting opportunities.
CHARECTERISATION TECHNIQUES
Authors: Hareeshkumar M R , Jagadeesh M R
Published: June 2024

Characterization techniques help in understanding the properties of materials at a fundamental level. This knowledge is critical in fields like materials science, where the properties of substances dictate their behavior and potential applications. Researchers use characterization techniques to study new materials, compounds, and structures, facilitating innovation and the development of new technologies, medicines, materials, and products. Industries use characterization to optimize manufacturing processes, improve efficiency, and enhance the performance of materials in various applications. Characterization contributes to advancing scientific knowledge by unveiling the structures, properties, and behaviours of substances at various levels, leading to discoveries that deepen our understanding of the natural world. In essence, scientific characterization techniques are indispensable tools that drive innovation, ensure quality, aid in problem-solving, and expand our understanding of materials and their applications across a wide range of scientific disciplines and industries. This chapter emphasis on the detailed overview on Physio chemical properties study of materials in ten different sections. First section briefs about the need of characterization, second and third sections briefs about single crystal XRD and powder XRD studies respectively. chapter highlights the using X-ray diffractions. The fourth section focus on the Fourier transform infrared studies and in the fifth section discussion of UV Visible spectroscopy. The sixth section enlightens about the thermogravimetric analysis and followed by seventh section with FESEM and edax studies discussion. The dielectric studies and the micro hardness studies were discussed in the eighth and nine sections. Finally, the important tool to evaluate the nonlinear optical properties of the materials i.e., Kurtz powder method is discussed in detail in the last secttion.
ASTROPHYSICS BEYOND THE HORIZON: EXPLORING THE FUTURE OF THE UNIVERSE
Authors: Kumar Dr. Jais , Vishwakarma Dr. Pavan Kumar
Published: June 2024

This chapter explores the intriguing frontiers of astrophysics and emphasises the future trends that are transforming our understanding of the universe. It provides a comprehensive overview of the recent advancements in observational and theoretical astrophysics, discussing cutting-edge research and emerging technologies that have the potential to revolutionize our knowledge of cosmic phenomena. From the exploration of dark matter and dark energy to the study of gravitational waves and exoplanets, this chapter explores the forefront of astrophysics and presents a vision of the future of this captivating field.
EXPERIMENTALLY SEARCHED LOW-COST ALTERNATIVES FOR UV AND HIGH-INTENSITY OPTICAL FILTERS
Authors: Sarkar Dr. Tamal , Mukherjee Arindam
Published: June 2024

Here, we attempted experimental verifications of the alternative band-pass filters to suit targeted wavelength bands, namely, optical and UV regions, with due attention to their hazardous aspects to both eye and imaging systems. For this purpose, some standard optical filters and welding glass shields are initially selected for observing high-intensity optical sources, full moons, and welding arc flames. We performed the experimental study of the standard filters' transmitted spectrum and intensity cut-off using a single slit, wavelength splitter (grating), and optical sensors (Web camera and Digital Lux Meter). In the next phase, we compared the various semi-transparent materials like cellophane papers, polymers, and thin metal oxide spray coating and their combinations with many standard filters to explore efficient, cost-effective alternative filters for each type of targeted source. Their experimental results determine which materials are useful as an alternative filter for Welding Shields, Moon Filters, and Deep Sky Observation.
Peran Psikologi dalam Pendidikan Islam
Authors: Kurniyadi Mahmud Darul , Amin Ahmad Yasir Al , Rohimah Siti
Published: June 2024

Psychology plays a significant role in Islamic education as a tool to understand and support the holistic development of students. Islamic educational psychology combines spiritual values with psychological aspects to create a learning environment that is in line with the teachings of Islam. This allows educators to better understand the individual characteristics of students, develop teaching skills, provide counseling and guidance in accordance with Islamic values, and manage classrooms effectively. The application of psychological principles in Islamic education enables the formation of quality individuals with noble character. Thus, psychology plays a crucial role in supporting holistic and sustainable Islamic education. Therefore, a deep understanding of the role of psychology in Islamic education is highly relevant and important for advancing an educational system that is oriented towards the development of individuals who are believers, have noble character, and are beneficial to society and the environment.
Advances in Human Leukocyte Antigen Testing Technologies and Management Strategies for Platelet Transfusion Refractoriness
Authors: Sullivan H. Cliff , Borge P. Dayand , Gammon Richard R. , Gandhi Manish , Philogene Mary C. , Wu YanYun , Kopko Patricia M.
Published: June 2024

Context.—

The blood bank is often consulted for transfusion support of patients with suspected platelet transfusion refractoriness (PTR). The workup is complex because testing includes specialized assays that are uncommonly ordered with limited availability. Add to this the variety of possible products—crossmatched platelets, human leukocyte antigen (HLA)–matched platelets, HLA antigen–negative platelets—and the approach to PTR can be overwhelming. Moreover, most literature on the subject is published in transfusion medicine journals aimed at transfusion medicine physicians and blood bank specialists in academic settings. Resources tailored to community hospital blood banks are lacking.

Objective.—

To provide pathologists who may not have subspecialized training in transfusion medicine and who direct blood banks algorithmic workflows based on clinical scenario and test availability to provide appropriate transfusion support for patients with PTR.

Data Sources.—

This review is a comprehensive overview of terminology, HLA testing procedures, interpretations, and practical recommendations for managing PTR in various scenarios based on expert opinion as well as relevant medical literature published from 2007 to 2022.

Conclusions.—

Consultation on PTR is complicated and encompasses many clinical and laboratory aspects. The lack of guidelines derived from high-quality prospective studies poses challenges in the workup and management of PTR. Hindering the process further are limited test availability, unfamiliarity with the technical assays, and the various specialized platelet products. The clinical evaluation algorithm presented herein along with the workflow pathways offer pathologists user-friendly and best-practice guidelines with different options based on the clinical scenario and the tests available.
The Diagnostic Accuracy of Claudin-4 Immunochemistry in Differentiating Metastatic Carcinomas From Mesothelial Processes in Serous Effusion Cytology: A Systematic Review and Meta-analysis
Authors: Kleinaki Maria , Vey Johannes A. , Awounvo Sinclair , Ishak Angela , Arnaouti Maria , Ryu Han Suk , Nikas Ilias P.
Published: June 2024

Context.—

Distinguishing metastatic carcinomas from mesotheliomas or reactive mesothelial cells in pleural, peritoneal, and pericardial effusions is a common diagnostic problem cytopathologists encounter.

Objective.—

To perform the first meta-analysis on the pooled diagnostic accuracy of claudin-4 immunochemistry in serous effusion cytopathology.

Design.—

This report followed the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for diagnostic test accuracy studies. Three databases (PubMed, Scopus, and the Cochrane Library) were searched until October 9, 2023, followed by study selection using specific inclusion and exclusion criteria and data extraction. The study quality assessment was performed by using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. Statistical analysis was performed by using R to calculate the pooled sensitivity and specificity of claudin-4 immunochemistry. In addition, the diagnostic odds ratio was measured, representing the odds ratio of a positive result indicating a carcinoma rather than a mesothelial process in serous effusion cytology.

Results.—

Fourteen observational studies, published between 2011 and 2023, fulfilled the selection criteria and were included. All 14 studies used the 3E2C1 clone. Claudin-4 immunochemistry showed a high diagnostic accuracy in serous effusion cytology. The pooled sensitivity and specificity were 98.02% (95% CI, 93.96%–99.37%) and 99.72% (95% CI, 97.36%–99.97%), respectively. Lastly, the pooled diagnostic odds ratio was 1660.5 (95% CI, 760.0–3627.8) and no evidence of statistical heterogeneity between the included studies was found (I2 = 0%, τ2 = 0).

Conclusions.—

Claudin-4 may be used as a single pan-carcinoma immunochemical biomarker in the differential diagnosis between metastatic carcinomas and mesotheliomas or reactive mesothelial cells in serous effusion cytology.
MEHMED FENNÎ EFENDİ’NİN ŞİİR MECMUASI: NURUOSMANİYE KÜTÜPHANESİ NO:4959
Authors: Türkyılmaz Necla
Published: June 2024

Manzum-mensur olarak pek çok alanda yazılabilen mecmualar, son dönem projelerinin ana malzemelerindendir. Muhteva kapsamı ve çeşitlilik kaplamıyla Klasik Türk Edebiyatının önemli bir türüdür. Metin neşrinin tespitinde ve biyografik çalışmalarda önemli rol oynar. Mecmualar mürettip seçkilerinden ziyade, özgün metinleri de barındırır. Bu makale, Nuruosmaniye Kütüphanesi 4959’da kayıtlı şiir mecmuasını tanıtmak üzere kaleme alınmıştır. Mecmua hakkında eksik veya yanlış bilinen malumatların üzerinde hassasiyetle durulmuştur. Verilen bilgilerin doğruluğu kanıtlanmaya çalışılmıştır. 17. Asır Klasik Türk Edebiyatı şairlerinden Mehmed Fennî Efendi’nin kaleme aldığı bu mecmua, bir divanlar mecmuasıdır. Farsça manzumelerin de bulunduğu bu mecmuadaki şairler ve şiirleri detaylandırılmıştır.
Sinir Sistemi-1
Authors: Koltaş Gülşah
Published: June 2024

Sinir sistemi iç ve dış uyarıları kavrayan, değerlendirilip gerekli cevabı vermek üzere organizmayı yöneten sistemdir. Sinir sisteminin temel fonksiyonel birimi olan ve nöron olarak isimlendirilen sinir hücreleri gövde ve bu gövdeden çıkan çok sayıda kısa ve uzun uzantılardan oluşur. Sinir sistemi anatomik olarak çevresel ve merkezi sinir sistemi şeklinde iki kısımdan oluşur. Merkezi sinir sistemi, kafatası içine yerleşmiş olan beyin ile omurga kanalına yerleşmiş olan omurilikten oluşur. Beyin ve omurilik, beyni dıştan saran zarlar ile aralarında boşluklar bulunan üç tabakadan oluşmuştur. Dıştan içe doğru bu zarlar sert zar, örümceksi zar ve iç zar şeklinde adlandırılmaktadır. Bu zarlar organları koruyarak, BOS sıvısının salgılanmasını ve bu sıvının absorbe edilerek venöz dolaşımına katılmasında görevlidir. Beyin, sinir sistemindeki en üst merkezdir. Beyin üç kısıma ayrılır. Bunlar; rhombencephalon, mesencephalon, prosencephalon’dur. Medulla oblangata merkezi sinir sisteminin ikinci parçasıdır. Omurilik, beyin ile periferde yer alan yapılar arasında iletişimi sağlayan, spinal reflexleri kontrol eden birimdir. Çevresel sinir sistemi, vücuttaki diğer tüm yapılar ile beyin ve omurilik arasındaki iletişimi sağlayan sistemdir.
Development and optimization of self-microemulsifying astaxanthin delivery system using the design of experiment (doe) approach
Authors:   , Zin Mo
Published: June 2024

The purpose of this research was to develop and optimize a self-microemulsifying delivery system (SMEDS) to improve dissolution rate of poor soluble compound AST by mixture experimental design. The solubility of AST was analyzed with various excipients so that the appropriate oil, surfactant, and cosurfactant were figured out. Through the findings about the microemulsion existence area, the pseudoternary phase diagrams were constructed for selecting the optimum combination of excipients in a formulation of SMEDS. The optimized LCT-SMEDS obtained from the design space was composed of 19.59% castor oil (oil; X1), 62.34% Cremophor® RH 40 (surfactant; X2), and 18.03% Tween® 80  (cosurfactant; X3) as independent variables, which resulted in a droplet size of 20.71 nm (Y1), PDI of 0.28 (Y2), zeta potential of -9.07 mV (Y3), 97.87% active ingredient content (Y4), and 98.38% transmittance (Y5) as response factors. The optimized MCT-SMEDS consisted of 12.39% MCT (oil; X1), 44.98% Cremophor® RH 40 (surfactant; X2), and 44.59% Tween® 80  (cosurfactant; X3) as independent variables, which resulted in a droplet size of 22.02 nm (Y1), PDI of 0.17 (Y2), zeta potential of -10.69 mV (Y3), 98.72% transmittance (Y4), and 97.09% active ingredient content (Y5) as response factors. The desirability function values of LCT-SMEDS and MCT-SMEDS were 0.8074 and 0.7949, respectively, indicating the reliability and accuracy of optimization. In addition, good agreement was found between the model prediction and experimental values of Y1, Y2, Y3, Y4, and Y5. Optimized formulations of LCT-SMEDS and MCT-SMEDS were characterized by visual observation, self-emulsification time, refractive index, transmission electron microscopy (TEM), freeze-thaw stability studies showing rapid microemulsion with good physicochemical properties and stability. The dissolution of the optimized LCT-SMEDS and MCT-SMEDS was pH-independent and reached over 90% within 4 hrs in all the media tested. As stated in the results, the significant improvements of SMEDS formulations were found in dissolution profiles of AST, compared to a marketed preparation and raw AST.  Thus, we suggested that SMEDS formulation using the experimental design method might be a promising way to improve the dissolution of poorly water-soluble substance astaxanthin.
การสร้างสรรค์นาฏยศิลป์ไทยในรูปแบบกีฬาลีลาศ
Authors:   , ปุยภูงา นัทธมน
Published: June 2024

วิทยานิพนธ์เรื่องการสร้างสรรค์นาฏยศิลป์ไทยในรูปแบบกีฬาลีลาศฉบับนี้ มีวัตถุประสงค์เพื่อศึกษาแนวทางการสร้างสรรค์นาฏยศิลป์ไทยในกีฬาลีลาศ เป็นงานวิจัยเชิงคุณภาพ โดยใช้วิธีการค้นคว้าทางเอกสาร การสัมภาษณ์ การสังเกตการณ์แบบมีส่วนร่วม และการทดลองสร้างสรรค์ผลงานทางนาฏยศิลป์ กีฬาลีลาศมีทั้งความเป็นศิลปะและเป็นกีฬาอยู่ในศาสตร์เดียวกัน ผู้วิจัยได้รับแรงบันดาลใจในการสร้างสรรค์ลีลาศที่มีการนำนาฏยศิลป์ไทยมาใช้ในการออกแบบ ได้แก่ จังหวะตะลุง จึงได้ทำการทดลองสร้างสรรค์นาฏยศิลป์ไทยในกีฬาลีลาศจำนวน 2 ประเภท โดยใช้การฟ้อนแบบนีโอล้านนาที่มีลักษณะการรำที่ช้าในจังหวะวอลซ์ เกิดขึ้นเป็น “ล้านนาวอลซ์” และ การเซิ้งทางภาคอีสานของไทยที่มีลักษณะการรำที่เร็วในจังหวะแซมบ้า เกิดขึ้นเป็น “ภูไทแซมบ้า กระบวนการออกแบบสร้างสรรค์ประกอบด้วยองค์ประกอบ 5 ส่วน ได้แก่ 1. แนวคิด 2. เพลงประกอบ 3. การออกแบบท่าเต้น 4. การออกแบบเครื่องแต่งกาย และ 5. การนำเสนอผลการสร้างสรรค์  ผลการศึกษาพบว่า แนวทางการสร้างสรรค์นาฏยศิลป์ไทยในกีฬาลีลาศคือ การใช้ลักษณะเด่นของนาฏยศิลป์ไทยได้แก่ การจีบ การตั้งวง และการกดเกลียวข้าง มาใช้กับส่วนบนของร่างกาย ส่วนการใช้เท้าและการใช้พื้นที่เป็นไปตามแบบลีลาศ ทั้งการฟ้อนแบบนีโอล้านนาและการเซิ้งทางภาคอีสานของไทย เหมาะสำหรับการออกแบบส่วนบนของร่างกาย การเต้นของวอลซ์และแซมบ้ามีลักษณะการใช้เท้าและขาเหมาะสำหรับการสร้างสรรค์ส่วนล่าง โดยผู้วิจัยเห็นว่ามีความเป็นไปได้ในการนำนาฏยศิลป์ไทยมาออกแบบสร้างสรรค์ในรูปแบบกีฬาลีลาศ และยังสามารถพัฒนาต่อไปได้อีก
ปัจจัยที่สัมพันธ์กับการได้ยาต่ำกว่าขนาดเป้าหมายในผู้ป่วยหัวใจล้มเหลวเรื้อรัง
Authors:   , ทิศกูล คนึงจิตร
Published: June 2024

วัตถุประสงค์: เพื่อศึกษาปัจจัยที่สัมพันธ์กับการได้รับยาในกลุ่ม  Angiotensin converting enzyme inhibitors (ACEIs) หรือ Angiotensin receptor-neprilysin inhibitor (ARNI) หรือ Angiotensin receptor blockers (ARBs)  ขนาดต่ำกว่าเป้าหมาย ในผู้ป่วยคนไทยภาวะหัวใจล้มเหลวเรื้อรังที่เกิดร่วมกับการบีบตัวของหัวใจห้องซ้ายล่างลดลง

วิธีการดำเนินการวิจัย: การวิจัยเชิงวิเคราะห์จากเหตุไปหาผลแบบย้อนหลัง ในผู้ป่วยคนไทยภาวะหัวใจล้มเหลวเรื้อรังที่เกิดร่วมกับการบีบตัวของหัวใจห้องซ้ายล่างลดลง แผนกผู้ป่วยนอก โรงพยาบาลตราด และโรงพยาบาลพระปกเกล้า ตั้งแต่เดือนมกราคม พ.ศ. 2559 ถึงเดือนธันวาคม พ.ศ. 2563 ทุกราย วิเคราะห์ปัจจัยที่สัมพันธ์กับการได้รับยาในกลุ่ม ACEIs/ARBs/ARNI ขนาดต่ำกว่าเป้าหมาย

ผลการวิจัย: ผู้ป่วยทั้งหมดในการศึกษานี้มีจำนวน 396 ราย แบ่งเป็นกลุ่มที่ได้รับยา ACEIs/ARBs/ARNI ขนาดต่ำกว่าเป้าหมาย จำนวน 289 ราย กลุ่มที่ได้รับยา ACEIs/ARBs/ARNI ขนาดมากกว่าหรือเท่ากับเป้าหมาย จำนวน 107 ราย เมื่อควบคุมปัจจัยอื่นๆที่ศึกษา พบว่าปัจจัยที่มีความสัมพันธ์กับการได้รับยาขนาดต่ำกว่าเป้าหมาย คือ NYHA  class III/IV (Odd ratio=1.84), 95%CI (1.11, 3.06) และการได้รับยากลุ่ม beta blockers ขนาดมากกว่าหรือเท่ากับร้อยละ 50 ของขนาดเป้าหมาย (Odd ratio=0.37), 95%CI (0.22, 0.6)

สรุปผลการวิจัย: ปัจจัย NYHA class III/IV เพิ่มความเสี่ยงที่ผู้ป่วยจะได้รับยาขนาดต่ำกว่าเป้าหมาย การได้รับยากลุ่ม beta blockers ขนาดมากกว่าหรือเท่ากับร้อยละ 50 ของขนาดเป้าหมาย ช่วยลดความเสี่ยงที่จะทำให้ผู้ป่วยได้รับยา ACEIs/ARBs/ARNI ขนาดต่ำกว่าเป้าหมาย
Examining the Determinant of Purchase Intention and Purchase Decision for Green Product: SEM Analysis
Authors: Mutmainah Isbandriyati , Eha Hasni Wahidhani
Published: June 2024

A climate change and global warming have an impact on increasing public awareness of environmental problems. Consumers are becoming more aware that their consumption habits have a direct impact on the environment and are taking on greater responsibility for environmental sustainability. Based on this phenomenon, this study’s purpose is to explore the influence of green marketing strategy, green product knowledge, green purchasing behavior toward purchasing intention and decision for green products, among non-member Tupperware consumers. The Structural Equation Modeling analysis method was used for 225 selected respondents were collected through quota sampling and accidental sampling, and submitted online using the google form which were submitted via social media and Whatsapp groups. The finding showed that green purchasing intention directly affects purchasing decision. Green marketing strategies, product knowledge and green purchasing behavior indirectly affects green purchasing decision through mediation of green purchasing intention, with green marketing strategies providing the greatest influence. These results provide information to management with insights into the contribution of green marketing strategy, consumer knowledge of green products, and consumer purchasing behavior in increasing the intention and the decision to buy green products, and encourages stakeholders to improve the green marketing strategy through pro-environment product innovation and promotion to increase the consumers’ intent for buy green product
The Effect of Green Marketing and Corporate Social Responsibility on Brand Image of Emina Products
Authors: Faiza Dwi Rahmadhani  , H Herliani  , Adi Setiawan  , Tiara Muthiarsih
Published: June 2024

People are becoming more aware of environmental difficulties in this time of globalization. Waste is one such problem, as waste is a major source of pollution in the air, soil and water. It is hoped that all individuals and businesses in Indonesia, including consumers, will increase awareness and concern for the environment as an effort to preserve and restore the earth's ecosystem. Emina products are one example of a company that prioritizes sustainability in its systems and products at PT Technology and Innovation. Emina is considered a product that contributes to a positive reputation and values social responsibility. Green marketing includes all efforts and endeavors directed at promoting, packaging, distributing, consuming, and recalling products through environmental awareness or response. Corporate social responsibility is a condition in which businesses must continue to pay attention to the environment in an effort to reduce environmental problems that have occurred or are occurring. To achieve sustainable growth and performance, corporate social responsibility is an initiative that is integrated into the investment strategy and is considered a corporate social obligation. Brand image, alongside environmental concerns and corporate social responsibility will emerge as an important consideration for companies in the coming years. Consequently, brand image is consumers' and customers' perception of a brand, which in turn inspires trust in the brand. This research highlights the importance of green marketing and environmental accountability in general by building a good perception of the organization's brand within the local community. The purpose of this study is to determine the correlation between brand image (Z) and the impact of corporate social responsibility (Y) and green marketing (X). Uncertainty surrounds most Emina product users who make up the population of this study. In the absence of population information, the sample size for a given study will be calculated based on criteria for an unknown population, resulting in a total of 100 respondents. This research will use a purposive sampling method, which involves selecting a sample from the population under study based on certain criteria. Regression analysis and path analysis will be used to analyze the data. Hypothesis testing, validity and reliability tests, normality and multicollinearity tests, path analysis model fit tests, and SPSS and AMOS Softwer analysis tools will be used for data analysis. According to the findings of this study, green marketing influences consumer perceptions of Emina products favorably, thereby contributing to improved environmental stewardship. Emina is perceived as an ethical and socially responsible entity, which positively impacts its reputation