bluuebunny/crossref_metadata_2025 huggingface dataset:
Morphological diversity of tadpoles of fork-tongued frogs (Anura: Dicroglossidae) with different trophic specializations
Authors: Vassilieva Anna B. , Nguyen Trung Duc , Sorokin Pavel A.
Published: February 2025

Abstract

Dicroglossid tadpoles are an important element of pond and stream communities in Southeast Asia. They are often found in syntopy but belong to different trophic guilds, from generalized detritophages to specialized predators. In the present research, the external and internal larval morphologies of seven anuran species of the family Dicroglossidae distributed in Vietnam (Fejervarya limnocharis, Fejervarya moodiei, Hoplobatrachus rugulosus, Limnonectes dabanus, Occidozyga lima, Occidozyga martensii, and Quasipaa verrucospinosa) are described and compared. An integrated approach is followed in the study by describing external and mouthparts morphologies, gross structure of the digestive tract, and the structure of chondrocranium and hyobranchium, which revealed the main trophic adaptations of tadpoles. Different trends in the evolution of larval macrophagy in Dicroglossidae led to the formation of fundamentally different larval forms. In the first case, the tadpoles are opportunistic predators that retain the ability to use a wide range of food resources (Hoplobatrachus); they have extremely specialized mouthparts but moderately transformed digestive tract and larval skeleton. In the other case, tadpoles are highly specialized obligate carnivores (Occidozyga) that have completely lost omnivory, with a radically transformed digestive tract, chondrocranium and hyobranchium. A comparison with generalized tadpoles revealed that in dicroglossids, the transformations of the larval skeleton due to carnivory mainly affect the labial cartilages and the palatoquadrate cartilage, as well as the hyobranchium. These transformations are common to macrophagous tadpoles of different taxonomic groups and result in greater larval morphological diversity.
Architecture of microtubule cytoskeleton in the hindgut cells of Porcellio scaber
Authors: Bogataj Urban , Mrak Polona , Štrus Jasna , Žnidaršič Nada
Published: February 2025

The distribution and orientation of microtubules were investigated in cells of distinct shapes from different hindgut regions of adult Porcellio scaber Latreille, 1804 and during hindgut morphogenesis in late embryonic and early postembryonic development. All hindgut cells of adult P. scaber contain abundant apico-basal microtubules organized in extensive bundles, but the architecture of bundles is specific for distinct cells. In the anterior chamber the architecture of microtubule bundles closely coincides with different shapes of the cells in this hindgut region and are most prominent in hindgut cells associated with extensive muscles. The shape of cells that form the typhlosole and typhlosole channels is particularly complex. In the papillate region the microtubule bundles protrude between the infoldings of apical plasma membrane and the mitochondria are closely aligned along the microtubules, thus the microtubule bundles in the papillate region are likely involved in the stabilization of the apical labyrinth and positioning of mitochondria. During hindgut morphogenesis the apico-basal microtubule bundles are established relatively late, mainly during early postembryonic development. Morphogenesis of the typhlosole is characterized by coinciding changes in cell shape and microtubule arrangement.
The effect of formaldehyde solution in pitfall traps on the probability of catching woodlice (Isopoda, Oniscidea)
Authors: Tuf Ivan Hadrián , Novotná Lucie , Fryčka Pavel
Published: February 2025

Pitfall traps containing a fixative solution are commonly used by ecologists to study ground-dwelling invertebrates. The effect of the solution on the animals being caught is a frequent topic of studies. Our study compares the effect of formaldehyde solution, water, and the random probability of catch simulated by using dry traps. Ninety pitfall traps were placed in a floodplain forest ground: one-third used 4% formaldehyde solution as a fixative, one-third used water, and one-third was left without any liquid to simulate the random probability of a catch. A layer of dry wood chips was used in the dry traps to reduce predation between the caught animals. The traps were placed in the field between April and May 2022 and emptied twice a week. Both the numbers of animals and the species caught were found to be significantly affected by the fixative solution in use. Significantly more woodlice were caught in traps filled with water; these traps also attracted significantly more Porcellium conspersum and Trachelipus rathkii compared to the dry traps. Average day temperature and the order the traps were checked (i.e. date) had an influence on the animals caught as well. Additional laboratory experiments with Porcellio scaber confirmed that terrestrial isopods avoid formaldehyde pitfall traps more than those with water.
Spatial activity and sheltering behaviour of terrestrial isopods (Isopoda, Oniscidea): a field experiment
Authors: Fialová Romana , Tuf Ivan Hadrián
Published: February 2025

A field study of spatial activity and sheltering behaviour of terrestrial isopods was carried out using Porcellio scaber and Armadillidium versicolor, two model species of woodlice. Individuals of both species were colour-marked and released into an area with artificial shelters, and their behaviour was then observed for several days. Vagility of both species was found to be similar; their dispersal ability was measured to be at least 1.1 m/h. The number of animals recaptured declined over time as they left the field-experiment area. The provided shelters were found to be unevenly inhabited both in relation to their position and the time elapsed since the beginning of the experiment. Nocturnal activity (night and dawn) of both species was confirmed.
Treatment Updates in Schizophrenia and Schizophrenia Spectrum Disorders
Authors: Shenoi Nancy , Alobaidi Abdulla , Czelusta Kim-Lan , Shenoi Rachel , Hanif Hira , Moukaddam Nidal
Published: February 2025

Schizophrenia and other chronic psychotic disorders are notoriously difficult to treat and full remission is unfortunately not the norm. In this article, we will review advances in treatment as follows: 1) conceptual advances in understanding, quantifying, and targeting cognitive symptoms, which are pervasive through the lifespan; 2) advancements in targeting metabolic and motor effects of antipsychotic medications with vesicular monoamine transporter (VMAT) inhibitors and compounds such as samidorphan, and newer antipsychotics with varied neurotransmitter targets, including cholinergic modulation, glutamatergic tone, lesser known receptor systems such as glycine transporters, and trace amine-associated receptor 1 (TAAR1) agents; 3) enhanced delivery mechanisms leading to quarterly and biyearly long-acting injectables; and 4) digital therapeutics, a set of apps and wearables meant to enhance care for psychotic disorders by utilizing well-established psychotherapy treatment principles; packaged in smartphone applications, the interventions can be delivered in a private customized manner that bypasses access issues and supports microbehavioral experiments to target negative and cognitive symptoms.

[
Psychiatr Ann
. 2025;55(1):e8–e13.]
Razpotja izseljencev
Authors: Čebulj Sajko Breda
Published: February 2025

Razpotja izseljencev je knjiga o izražanju, ohranjanju in spreminjanju etnične identitete avstralskih Slovencev v času njihovega več desetletij trajajočega bivanja v tujini. Gre za prikaz življenja prvih generacij slovenskih izseljencev na petem kontinentu, priseljenih tjakaj po letu 1945, ki ga avtorica vplete v analizo povojne avstralske imigracijske politike (asimilacije, integracije, multikulturalizma). Vsebina knjige je v veliki meri nastala na osnovi terenskega dela avtorice v Sydneyju, Melbournu, Wollongongu in Canberri, zbranih podatkov iz različnih društvenih, verskih in zasebnih arhivov izseljencev ter strokovne in znanstvene literature o migracijski problematiki doma in v Avstraliji. T. i. »objektivna« dejstva so v knjigi dopolnjena z avtobiografskimi izpovedmi samih informatorjev, ki na oseben, in zato svojstven način, osvetljujejo ozadja nastajanja in spreminjanja razdvojene etnične identitete.
Mesa Redonda Complex (Villaverde del Río, Seville): a tell above the Lower Guadalquivir Valley
Authors: Diaz-Zorita Bonilla Marta , Bartelheim Martin , Chala-Aldana Döbereiner , Escudero Carrillo Javier , García Fernández Francisco José , Ferrer Albelda Eduardo , Garrido González Pablo , Daza Pastrana Fernando
Published: February 2025

The archaeological site of Mesa Redonda (Villaverde del Río, Seville) was the subject of archaeological research at the end of the 1970s, and only recently has new research been carried out. In this paper we present the results of both the old and the new archaeological work conducted in 2019-2021. We have named this site the Mesa Redonda Complex, because of the wider period of use and because it includes many different sites. According to the results of the archaeological survey, test pits and geoelectric prospection, the archaeological site offers a multi-layered continuous use of the summit from the Bronze Age to the Islamic Middle Ages (12th century AD). Due to its size and long diachronic sequence, in this case covering at least four millennia, the structure of the site complies with the definition of an archaeological tell. Mesa Redonda is strategically located between the Guadalquivir Valley and Sierra Morena, overlooking the fertile lands of the valley with abundant agropastoral resources.
Une nouvelle cartographie de l’accueil du néo-réalisme en France
Authors: Gheller Enrico
Published: February 2025

À partir de quelques critiques négatives consacrées au film Ladri di biciclette (le Voleur de bicyclette, Vittorio De Sica, 1948), cette étude se propose d’esquisser une « cartographie » alternative de la réception du néo-réalisme en France et de complexifier l’idée d’un accueil bienveillant de ce mouvement. Pour ce faire, elle identifie trois domaines critiques ayant exprimé des lectures problématiques, sceptiques ou franchement négatives. Ces domaines critiques « hérétiques » s’opposent en quelque sorte aux interprétations « canoniques » soutenues par André Bazin et Georges Sadoul et constituent autant de communautés interprétatives négligées par l’histoire officielle.
Les films comme mémoire des lieux, les lieux comme mémoire des films
Authors: Denis Michel , Albera François
Published: February 2025

Un champ de recherche s’est ouvert depuis plusieurs années qui concerne les lieux de tournage des films des origines à nos jours. Recherches diverses visant les unes à identifier des lieux disparus ou transformés (le film comme mémoire des lieux), à revisiter des lieux de tournage transcrits ou transfigurés par la prise de vue, parfois même reconstitués en studio (les lieux comme mémoire des films), les autres à saisir la charge affective, symbolique que peuvent signifier ces représentations filmiques pour une population donnée qui a vécu en ces lieux depuis lors détruits (catastrophes naturelles, guerres, reconstructions immobilières bruta- les, etc.) (le film comme lieu de mémoire). L’histoire du cinéma – qui tire aussi de ces investigations des données qui l’enrichissent – croise alors l’anthropologie.
Lumière d’été de Jean Grémillon : Haute-Provence sur Dordogne
Authors: Albera François
Published: February 2025

En 1942 Jean Grémillon, Jacques Prévert et Pierre Laroche entreprennent un film, Lumière d’été, qui sortira en mai 1943 alors que la France est occupée par les armées nazies et que la Résistance s’organise en vue de la Libération. Le film se situe dans un autre temps, antérieur à la guerre et pourtant retentit fortement des événements contemporains, dont il traite de manière décalée. Le tournage se situant en partie sur le chantier d’un grand barrage sur la Dordogne, lui-même foyer de résistance, le film qui utilise comme figurants les ouvriers et les habitants de la vallée en viendra jusqu’à nos jours à représenter dans la région un véritable « lieu de mémoire » et à faire l’objet d’une appropriation en dépit du fait que son récit situe les événements dans une autre région de France.
“Our Own British Race”: Distinctive Approaches to Racial Ideas in British Fascist Movements, 1922-1940
Authors: Charlton Hartley
Published: February 2025

Questo articolo intende identificare e analizzare il carattere distintivo delle idee razziali espresse dal fascismo britannico durante il periodo tra le due guerre mondiali. Sebbene queste fossero basate su premesse diverse dagli altri fascismi, vi fu comunque la volontà di indirizzare il dibattito verso la specificità del caso britannico. All’epoca nel Regno Unito vi erano livelli differenti di radicalismo, diverse interpretazioni della questione della razza, così come sussistevano percezioni contrastanti su come le questioni razziali dovessero essere proposte e assimilate dalla popolazione. Il dibattito provocò divisioni ideologiche all’interno del nazionalismo britannico, ma fu comunque sposato un discorso univoco piuttosto che una netta separazione di carattere dottrinale. Come vedremo, le idee razziali del fascismo britannico sviluppate durante gli anni Venti e Trenta non solo rivelarono la singolarità dell’interpretazione britannica, ma anche l’approccio idiosincratico dei movimenti che li difesero.
OPTIMAL CONTROL POINT-BASED DEEP KRONECKER MOBILE NETWORK FOR PRIVACY-PROTECTED DATA CLASSIFICATION IN HEALTHCARE
Authors: Kumbhar Hemant Ramdas , Rao S. Srinivasa
Published: February 2025

The disease prediction system plays a vital role in the healthcare system. In order to lead a healthy life, disease prediction systems are essential as they help in the early prediction of risks in disease. Due to the enormous amount of patient data, the sharing of data becomes complex. Also, the sensitive nature of this information provides the way for security and privacy issues. Thus, protecting sensitive information in the healthcare system remains a major challenge. From this perspective, suitable security and protection measures are necessary for privacy-protected data classification. In this study, the Deep Kronecker Mobile Network (DKMN) for privacy-protected data classification is proposed, which combines the Deep Kronecker Network (DKN) with MobileNet. The DKMN is designed by merging the DKN with MobileNet. Firstly, the input healthcare data are considered and optimal control points are generated by the Chronological Drawer Algorithm (CDA). The CDA integrates chronological concepts with the DA. Following this, noise-Free Homomorphic Encryption (FHE) is applied using the Matrix Operation for Randomization and Encryption (MORE) algorithm. Subsequently, DKMN is employed for privacy-preserving data classification. Lastly, optimization of control points for effective privacy protection is conducted employing CDA. Furthermore, the DKMN obtained a higher accuracy of 91.7%, TNR of 92.9% and TPR of 90.8%.
Advanced Strategies in Quantitative Structure Activity Relationship (QSAR) Modeling
Authors: Setlur Anagha S. , Jayaprasad Sanjana , Rao Vibha , Karunakaran Chandrashekar , Uttarkar Akshay , Niranjan Vidya
Published: February 2025

This chapter explores the challenges and advancements in drug discovery through Quantitative Structure-Activity Relationship (QSAR) modeling, which links a chemical's structure to its biological effect. Advanced QSAR strategies, incorporating techniques like quantum mechanics, provide improved accuracy in predicting drug interactions and consider factors such as toxicity and metabolism, facilitating early elimination of unsuitable candidates. The chapter covers the stages of drug discovery, from target identification to clinical research, emphasizing pharmacokinetics and ADMET studies. It also highlights the role of Quantum Mechanics (QM) in offering a more accurate description of molecular interactions and discusses the contributions of advanced artificial intelligence and machine learning techniques to progressive QSAR modeling and novel future applications.
Challenges and Future Prospects in the Field of Computational Chemistry
Authors: Islam Ivy , Sultana Abida , Islam Nakibul , Sarker Md. Raihan , Nahar Jannatun , Habib Sania , Ferdous Jannatul , Kawsar Sarkar M. A.
Published: February 2025

This chapter explores the challenges and opportunities of computational chemistry, which has revolutionized molecular science. Although computational chemistry has made significant progress, it continues to struggle with molecular system complexity, precise approximations, enzyme design for specific reactions, a standard computational method, and computer resource constraints. These simulations provide an enormous amount of information, rendering interpretation and validation challenging. But computational chemistry's prospects seem promising. Computational chemistry will tackle more complex problems as computer technology, algorithms, machine learning, and AI improve. Artificial intelligence and machine learning could also be employed increasingly for data analysis and prediction. Future computational chemistry may employ quantum mechanics to predict chemical behavior. Quantum computing promises great things for this field. Simulations will become more accurate and faster as computer technology improves. Overall, the field is projected to expand and progress in the coming years.
Computational Innovations in Molecular Docking Unveiling Therapeutic Potential
Authors: Pooja S , Niranjan Vidya , Likitha S.
Published: February 2025

Molecular docking approaches have evolved over time, from small molecule-receptor interactions to protein-protein and nucleic acid-ligand interactions. The importance of molecular docking stems from its capacity to forecast and optimise therapeutic targets, find lead compounds, and reveal structure-activity connections. Researchers can effectively screen huge chemical libraries using virtual screening and docking simulations, prioritise candidates for experimental testing, and create analogues with improved pharmacological characteristics. The manuscript also discusses molecular docking's potential in predicting drug binding affinities, investigating protein flexibility, and repurposing current drugs for new therapeutic purposes, ultimately paving up opportunities for personalised medicine based on individual genetic profiles.
Computational Tools and Software in Drug Discovery
Authors: Georrge John J. , Mishra Saurav Kumar , Chhetri Tabsum , Roy Sneha , Gurung Kusum
Published: February 2025

The researcher currently favours rational drug design over conventional drug design. It can help reduce costs, achieve accuracy, and be less time-consuming. In the drug discovery process, promising targets and their potential inhibitor identification became possible, and their accuracy was also improving with the advancement in the algorithm behind the designed tools and software. In the case of drug design procedures, the computer-assisted process was of keen interest to researchers worldwide and was frequently utilised. The tools, software, and databases are among the main supports for accomplishing this procedure. Therefore, knowing the available tools and software in the drug discovery process is essential. So, this study aims to give a brief idea about the drug discovery process and the available tools and software, along with their best ideas for better understanding. Additionally, the advancements and challenges were discussed for better understanding.
Drug Repurposing Through Molecular Docking
Authors: Tripathi Rati Kailash Prasad
Published: February 2025

Drug repurposing, a strategy to identify new therapeutic uses for existing drugs, has gained considerable attention in pharmaceutical research due to its potential to expedite drug discovery and development processes. Molecular docking, a computational technique, plays a pivotal role in drug repurposing by predicting the binding interactions between small molecules and target proteins. This chapter explores the fundamentals of molecular docking in drug repurposing, highlighting its advantages, and challenges. An overview of databases and tools commonly used in drug repurposing studies is also provided, highlighting resources such as compound libraries, protein structure databases, and docking software platforms. Case studies illustrating successful applications of molecular docking in drug repurposing are presented, showcasing examples of repurposed drugs with demonstrated efficacy in diverse therapeutic areas.
Revolutionizing Patient Care Through the Convergence of IoMT and Generative AI
Authors: V. Dankan Gowda , Reddy Premkumar , Tetala Vidya Rajasekhara Reddy , Krishnamoorthy P. , Yogi Kottala Sri
Published: February 2025

The incorporation of the Internet of Medical Things and Generative AI to this process shall transform patient care by offering continuous tracking, analysis and individualized progression control. This chapter is dedicated to the synergistic fusion of IoT in Medical Technology (IoMT) and Generative Artificial Intelligence and provides a brief summary of what it is, how it functions, and what can be expected in the future in the field of health care. When combined with the data acquiring capacity of IoMT and analytical potential of Generative AI, hospitals and other medical facilities have the potential to bring diagnosis and treatment to a higher level. Some real-life usage examples of the combined uses of SDN and IoT in health care are shown through different use cases, including chronic disease management, elderly care, virtual health assistance, and prognostic health management and maintenance of healthcare facilities' equipment and tools.
Artificial Intelligence and Machine Learning-Assisted Internet of Medical Things
Authors: Shaikh Zuber Peermohammed
Published: February 2025

IoMT devices, also referred to as healthcare IoT, enable human intervention-free healthcare monitoring by integrating automation, interfacial sensors, and machine learning-based artificial intelligence. IoMT technologies aid in reducing unnecessary hospital stays and thereby the associated health costs by facilitating wireless monitoring of health parameters. In this review, we discuss importance of AI in improving capabilities of IoMT in Drug design and development will continue to be an early user of new and growing experimental and computational tools. Among the challenges is deciding whether to use these technologies to improve the existing pipeline and processes or to reengineer the processes in light of these technologies. These research chapter elaborates drug discovery and formulation optimization through Big data, digital healthcare, remote monitoring, and genomics will increase the need to investigate how computational and reasoning approaches might be used to improve the process in terms of clinical significance as well as cost reduction.
Transformative Insights
Authors: Bansal Hina , Bondhopadhyay Banashree , Santoshi Seneha , Himansu  , Mazumder Rajbeen
Published: February 2025

The rapid increase of generative AI aligned with IoMT promotes the medical and healthcare industry with its numerous applications such as in precision medicine (PM), drug discovery, disease diagnosis, etc. In the past decade, acceptance of AI remoulded the ongoing innovations in the medical industry. As the world grapples with chronic illnesses and lifestyle disorders burdening hospitals and clinics, AI succors by lessening the load. Nevertheless, its limitations like data security and privacy are a cause for worry. IoMT consists of a sensor, or wearable connected via the internet to the data recorder. This chapter attempts to comprehend the goals, outcome, future perspective, and tribulations of alignment of Generative AI with IoMT. The integration of Generative AI and IoMT in healthcare offers transformative outcomes, including enhanced diagnostic accuracy through precise and timely analyses. These innovations promise better outcomes and greater efficiency, but it's essential to prioritize ethics, protect patient data, and ensure compliance as they become part of everyday care.
Driving to Future Integrating Digital Transformation to Sustainable Transportation
Authors: Tasdemir Beste Desticioglu , Ayan Merve Asilogullari
Published: February 2025

This paper explores how technologies such as the Internet of Things (IoT), autonomous vehicles (AVs), artificial intelligence (AI), and blockchain are revolutionizing urban mobility. The IoT facilitates real-time data collection and analysis, enhancing operational efficiency and reducing emissions through optimized routes and predictive maintenance. AVs, particularly when combined with electric vehicles (EVs), offer significant reductions in fuel consumption and urban air pollution. Smart mobility solutions, including Mobility-as-a-Service (MaaS) platforms and big data analytics, further support efficient and environmentally friendly transportation networks. Blockchain technology enhances data security and transparency, crucial for the development of reliable and safe transportation networks. This paper concludes that the fusion of these technologies is not merely an enhancement but a necessary evolution to meet the growing demands for sustainable urban mobility and contribute to global sustainability efforts.
Integrating Renewable Energy With Internet of Things (IoT) for Smart Logistics
Authors: Mumin Mubarik Abdul , Yakubu Ibrahim Nandom , Adam Ibrahim Osman
Published: February 2025

This chapter explores the synergistic integration of renewable energy sources, such as solar, wind, and biomass, with cutting-edge Internet of Things (IoT) technologies to enable sustainable and intelligent logistics operations. It discusses the multifaceted challenges faced by the logistics industry, including high energy consumption, emissions, and inefficient resource utilization, and presents IoT-enabled solutions powered by renewable energy sources as a viable and promising solution. The chapter delves into the key components and architectures required for this integration, encompassing renewable energy generation and storage systems, energy-efficient IoT devices and sensors, and intelligent control and monitoring systems. By exploring the synergies between renewable energy and IoT technologies, this chapter aims to contribute to the ongoing efforts towards sustainable and intelligent logistics operations, ultimately minimizing the environmental impact of this crucial industry while enhancing its efficiency and competitiveness in the global marketplace.
Cloud-Based Professional Development
Authors: Itkarkar Rajeshri Rahul , Petkar Shruti , More Roshani , Itkarkar Arya
Published: February 2025

In today's fast-paced, technology-driven world, continuous learning and professional development are crucial for staying competitive. This chapter explores the transformative potential of cloud-based professional development. With cloud computing technologies, professionals can access training resources anytime, anywhere, fostering a culture of lifelong learning. This chapter covers the benefits, key components, implementation strategies, challenges, and future trends of cloud-based professional development. Real-world case studies explore the opportunities for individuals and organizations.
Enabling Personalized Learning and Adaptive Systems Through Strategic Management
Authors: Arockia Venice J. , Vettriselvan R. , Rajesh Deepa , Suresh N. V. , Abirami P.
Published: February 2025

The integration of cloud technology is transforming the educational landscape by facilitating personalized learning and adaptive systems. This chapter examines successful case studies showcasing the impact of cloud-based solutions, including Learning Management Systems (LMS), AI-driven analytics, and collaborative tools on educational outcomes. Notable examples include Khan Academy's extensive resource offerings, DreamBox Learning's adaptive learning engine, Purdue University's use of predictive analytics, and the global learning platform developed by Minerva Schools. While challenges such as data privacy concerns and the digital divide persist, these initiatives highlight how cloud technology can create customized learning experiences and equip educators with valuable insights. Looking ahead, emerging trends in artificial intelligence, virtual reality, global collaboration, and blockchain technology are poised to further enhance personalized and inclusive educational practices.
A Real-Time Auditing System for Secure Storage Using QR Code
Authors: P. Baby Shamini , P. Jemi Gold , K. Neela , N. Arockia Rosy , Malathy M. , Hemala R. , Jaison B.
Published: February 2025

The objective is to structure a portable application for inspecting and putting away information through a distributed storage administration. The information is remotely put away in the cloud. In some distributed storage frameworks, the cloud record may contain some touchy data. Scrambling the entire shared record doesn't permit different clients to get to it. In the current framework, the client needs to use the biometric information to guarantee the character of the client, and afterward, a marking key will be checked which is to ensure the personality and security of the client. The principle downside of utilizing the biometric information is that it can't be coordinated precisely because of the elements that influence the difference in biometric information. A reference is made naturally changed over to the QR code and it is checked utilizing a scanner and the specific record is downloaded. This record is erased or lost in the customer's inward stockpiling may be recovered again from the cloud.
IoT Cloud Ecosystems
Authors: Gaikwad Vidya Shrimant
Published: February 2025

The internet of things (IoT) cloud refers to an internet-based platform that facilitates the storage, management, and analysis of data generated by IoT devices. It combines the capabilities of cloud computing with the connectivity of IoT, creating a powerful ecosystem that supports a wide range of applications and services cloud providers are essential to the IoT ecosystem because they provide the services and infrastructure required for efficient deployment and management of IoT solutions. In order to address multiple service areas, including application development, device administration, system management, heterogeneity management, data management, and tools for analysis applicability, this chapter analyses well-known IoT cloud platforms. A few issues that the researchers should address in the near future are also described. This chapter's ultimate objective is to impart thorough knowledge about the current IoT cloud service providers.
Framework for Automation of Administrative Workflow in Public Sector Schools
Authors: Rubab Saddaf , Nazish Iqra
Published: February 2025

Government schools are producing enormous amounts of data daily which is managed in paper-driven setup and prone to inaccuracy and inconsistency in records. Hence, an automated system for managing school administrative activities is required which can bring accuracy and consistency by providing digital access. This study analyzed existing frameworks for the automation of school system. Considering the gaps identified, a survey is conducted from different target groups of government school education departments. Results showed few modules are partially automated while others are yet to be considered. The major tendency of teachers towards using automated modules for a complete school management system is evident from the results. Based on the requirements and challenges faced by government school employees, a framework for automation of school management system is proposed to introduce smart data monitoring setup by splitting record and activity management modules under different control privileges. Remarkable user satisfaction is achieved in framework validation survey and prototype.
Swarm Intelligence and Meta-Heuristics for Enhanced Optimization in Big Data Analytics
Authors: Renuka Devi D. , Swetha Margaret T. A.
Published: February 2025

Swarm Intelligence (SI) is a nature-inspired technique. Finding the best solutions through investigation and searching of the solution space is the fundamental component of any nature-based strategy. The properties of meta-heuristics methods are to guide the search process to explore the solution space to find the optimal solution, apply for both simple and complex procedures, provide nearby solutions, and are problem-independent. When compared to traditional algorithms, solutions based on Swarm Intelligence (SI) offer improved and ideal feature selection. The heuristic procedure is designed to search for an optimal subset in a search space, thus providing an optimal solution for high dimensional feature space and datasets with extraneous features. Most of the approaches deliver the solution based on groups of variables used for stochastic optimization. By leveraging concurrent search mechanisms, it aims to optimize solution space exploration and reduce time complexity, ultimately enhancing search efficiency within a limited timeframe.
Resuming Transfer Technique for Two-Level Sharding Point of Rupture for a Single Table
Authors: Pramanik Sabyasachi , Roy Atanu , Rakshit Pranati
Published: February 2025

With the advent of the big data age, the poor migration pace and unexpected interruption risk are two issues with the present standard big data migration methodologies. In this study, a billion-scale breakpoint resumption migration technique for secondary sharding for single-table data is proposed. The separation of main shards into secondary shards and the use of a dynamic load balancing approach to migrate to various databases improve the controllability and independence of data migration, hence cutting down on the total migration time. According to this publication, the authors tested this strategy by moving Oracle databases to other databases in order to assess its effectiveness. The results verified that the number of nodes enhances migration efficiency dramatically. Furthermore, with comparable data sizes, comparison studies were carried out between the data migration tool created by this technology and DataX as well as the DaMeng Transfer Service (DTS). According to the trial findings, this method's migration efficiency is on par with that of the top DTS.
Big Universe, Big Data Machine Learning, and Image Analysis for Astronomy
Authors: Hasan Maaz Ul
Published: February 2025

Today astronomy produces an enormous amount of data from the new generation of telescopes that come fitted with digital cameras, which can image large fractions of the sky much faster than ever. In some instances, the volume of data gathered in one night is equivalent to that obtained in an entire survey from ten years ago. In fact, to tackle this enormous influx of information, astronomers have to resort to advanced techniques from data science, particularly from machine learning and image analysis. These techniques, therefore, have a number of advantages besides accelerating data processing. First, they give room for task automation, such as object detection and classification, which saves time and human effort otherwise wasted in manual analysis. Second, predictive modelling will help the astronomer to predict celestial events or find trends that would possibly not be easily evident from more classical methods. However, working with such huge datasets is not all that has to be faced.
An Analysis Upon Ecotourism for Advertising a Tea Tour in India
Authors: Banerjee Shuvasree , Tyagi Pankaj Kumar
Published: February 2025

A good balance between economic and environmental concerns is one of the most commonly discussed subjects in long-term sustainability. One of the most debated topics. One of the most commonly discussed subjects in a conversation. The rise in ecotourism in recent years may be due to improved environmental awareness. Ecotourism involvement may have increased due to this knowledge. The report suggests that in order to establish effective backup measures for the worldwide spread of sustainable tourism, it is necessary to do further research in culturally diverse locations.
Corrigendum: Authenticity doubt on the Tomioka (Yishen Lun) manuscript: A discourse analysis
Authors: Tam David T.W
Published: February 2025

No abstract available.
CircRNA-0013747 Promotes Mesangial Cell Proliferation in Immunoglobulin A Nephropathy through Modulation of the Warburg Effect
Authors: Zou Huimei , Deng Wenli , Xu Lifen , Shi Mingjun , Liu Lingling , Gong Lei , Cui Daolin , Zhang Fan
Published: February 2025

Immunoglobulin A nephropathy (IgAN) is characterized by aberrant mesangial cell (MC) proliferation, which is a critical determinant of glomerular sclerosis and renal dysfunction. Previous studies have highlighted the role of pyruvate kinase M2 (PKM2)- mediated aerobic glycolysis in promoting MC growth and the progression of kidney diseases. However, the precise mechanisms underlying PKM2 dysregulation in IgAN remain unclear. Circular RNAs (circRNAs), a class of noncoding RNAs, have emerged as pivotal regulators in various diseases, yet their role in IgAN has not been fully elucidated. In this study, we investigated the expression and functional significance of circRNA_0013747 in IgAN, focusing on its interaction with microRNA-330-3p (miR-330-3p) and its downstream effects on PKM2-mediated aerobic glycolysis. Our results demonstrated a significant upregulation of circRNA_0013747 in kidney biopsy samples from IgAN patients. Functional analyses revealed that circRNA_0013747 promoted MC proliferation and activated PKM2-mediated aerobic glycolysis. Importantly, these effects were attenuated by the upregulation of miR-330-3p, which was found to physically interact with circRNA_0013747, thereby inhibiting its function. Mechanistically, circRNA_0013747 acted as a sponge for miR-330-3p, relieving its suppressive effects on PKM2 expression. These findings suggest that circRNA_0013747 enhances glycolysis and proliferation in MCs through modulation of the miR-330-3p/PKM2 signaling axis. These results offer novel insights into the pathogenesis of IgAN and could contribute to new therapeutic approaches for this disease. Specifically, targeting circRNA_0013747 or modulating its interaction with miR-330-3p may provide a means to inhibit MC proliferation and aerobic glycolysis, thereby slowing the progression of IgAN and preserving renal function. Such therapeutic strategies hold the promise of substantial benefits for patients with IgAN and could pave the path toward developing more potent treatments for a wider range of renal diseases.
Phenotypic Differences between Patients with Smoking Chronic Obstructive Pulmonary Disease and Non-smoking Chronic Obstructive Pulmonary Disease
Authors: Nagar Jatin G. , Patel Meghna M. , Rami Kiran C. , Modh Janki Prakashkumar , Laxmidhar Zainab A.
Published: February 2025

ABSTRACT

Background:

In low- and middle-income countries, causes other than tobacco smoking contribute more to the development of chronic obstructive pulmonary disease (COPD). In India, non-smoking-related COPD (NS-COPD) is common due to the high prevalence of pulmonary tuberculosis and biomass fuel exposure. Our study aims to know the phenotypic differences between smoking-related COPD (S-COPD) and NS-COPD patients.

Materials and Methods:

The study included 217 patients, who visited the outdoor department of a tertiary care center. A detailed clinical history was obtained; radiological and hematological investigations, spirometry, and a 6-min walk test were performed.

Results:

Of 217 patients, 100 had S-COPD, and 117 had NS-COPD. Male patients were predominantly affected (P < 0.001) in both groups. There were significant differences in the age group (P < 0.001), body mass index (P < 0.045), blood hemoglobin levels (P < 0.02), forced vital capacity (FVC) (P = 0.02), postbronchodilator reversibility in forced expiratory volume in 1 s (FEV1) (P < 0.006), and FEV1/FVC ratio (P < 0.001) between patients with smoking and S-COPD and NS-COPD. Emphysema was more common in S-COPD, whereas COPD-bronchiectasis overlap was more common among NS-COPD patients. Cough was more common, and airflow obstruction was less severe in nonsmokers. There was no significant difference in the exercise capacity.

Conclusion:

The NS-COPD patients present at younger age, with more COPD-bronchiectasis overlap phenotype. They have less severe airflow obstruction and more postbronchodilator reversibility. Understanding phenotypic characteristics is necessary for accurate diagnosis and management of COPD in nonsmokers.
Modified thoracoabdominal nerves block through perichondrial approach: a new strategy with a wide range of utilization in laparoscopic gynecological surgeries
Authors: Elhoshy Hassan S. , Khalifa Ayman F.
Published: February 2025

Background

Modified thoracoabdominal nerve block via the perichondrial approach (M-TAPA) was expressed lately as an effective regional anesthetic technique involving the anterolateral aspects of the thoracoabdominal wall via deposition of local anesthetics to the perichondrium’s underneath side. Even though the efficacy of M-TAPA has been registered, additional research is advocated. The rationale of the current study was to evaluate the analgesic effectiveness of M-TAPA blockade accomplished before surgery in subjects undergoing laparoscopic gynecological surgeries.

Patients and methods

60 female patients (20–65 years) were categorized randomly into two groups. Group (M): received bilateral M-TAPA using bupivacaine (0.25%), whereas group (C): (control group) received conventional general anesthesia with multimodal analgesia. Postoperative pain assessment, time to first rescue analgesic requirement, total opioid consumption during the first 24 h postoperatively, and patients’ satisfaction were recorded. Also, the time to modify the Aldrete score greater than or equal to 9 was estimated.

Results

Pain scores were significantly lower in the M-TAPA group versus the control group at all times of measurement (P<0.05 at each time point). Also, the total amount of opioid consumption was significantly less in the M-TAPA group versus the control group. Patients in the M-TAPA group were statistically more satisfied with their analgesia (P<0.001) and attained a modified Aldrete score greater than or equal to 9 earlier than those in the control group.

Conclusions

Ultrasound-guided M-TAPA block achieved efficient analgesia to the anterolateral aspects of the anterior abdominal wall and reduced opioid consumption in patients who underwent laparoscopic gynecological surgeries.
A comparison of the effect of isoflurane and propofol anesthesia on lipid profile
Authors: Oladimeji Motunrayo Adebukunola , Desalu Ibironke , Adekola Oyebola Olubodun , Asiyanbi Gabriel Kolawole
Published: February 2025

Background

Anesthetic agents exert a direct effect on cell membranes by binding to ion channels and an indirect effect by modulating the physicochemical properties of the host lipid bilayers This results in an alteration in both the cell membrane protein function and lipid profile which in turn might affect the health of the individual.

Objective

We compared the effects of isoflurane and propofol on lipid profile: triglycerides (TG), total cholesterol (TCHL), low-density lipoprotein, and high-density lipoprotein (HDL) following general anaesthesia.

Patients and methods

This prospective study involved 60 ASA I and II adult patients aged 18–64 years planned for elective surgery under general anesthesia. They were randomized into propofol and isoflurane groups. Induction of anesthesia was with intravenous sodium thiopentone 5 mg/kg and atracurium 0.5 mg/kg. Patients in group I received isoflurane (0.8–1.5%) while those in group P had propofol infusion, 100–200 μg/kg/minute for maintenance. Blood samples were taken at pre-induction, immediate- and 24 h postoperatively for estimation of serum TG, TCHL, low-density lipoprotein, and HDL. Risk factors for postoperative dyslipidemia were determined.

Result

The mean values of TCHL, HDL, and TG in the immediate postoperative period was significantly higher in the propofol group compared with the isoflurane group (P =0.003, 0.003, and 0.001, respectively). In the 24 h postoperative period only serum TG had a significantly higher mean value in the propofol group compared with the isoflurane group (P=0.001).

Overall, the duration of surgery and anesthesia, hypotension, are not independent predictors of hypertriglyceridemia.

Conclusion

Propofol anesthesia caused a significant increase in lipid profile compared with isoflurane. Propofol may therefore be unsafe in patients with baseline hyperlipidemia.
Enhanced recovery after surgery guidelines in mitral valve surgeries, questionnaire
Authors: Abbas Sherif M. , Elgendy Maged , Khedr Hisham S. , Hussien Ahmed M. , Tawadros Pierre Z.
Published: February 2025

Aim

Enhanced recovery after surgery (ERAS) is not a fixed protocol; it is a new way of working. A questionnaire was done to measure the extent of doctor knowledge about ERAS protocols in mitral valve surgeries. The study aimed to assess the knowledge of doctors of ERAS guidelines in cardiac surgeries using the questionnaire grading system.

Settings and design

This cross-sectional study was carried out at the Cairo University Hospitals and the National Heart Institute, Egypt.

Patients and methods

A questionnaire was sent online to a random sample of anesthesiologists, cardiothoracic surgeons, and intensive care physicians. The random sample was taken using a random list. The questionnaire consists of a number of questions that the doctor has to answer in a set format.

Results

The most of answers were positive for the correct answer (protocol) and showed clearly that the doctor in the three different specialties knows about ERAS protocol in cardiac surgeries (mitral valve surgeries).

Conclusions

The ERAS protocols have been associated with a reduction in overall complications and length of stay of up to 50% compared with conventional perioperative patient management. This thesis clarifies that the three different groups of doctors have good knowledge of ERAS protocols, but the protocols have not been applied.
Remission of myasthenia gravis following infection with SARS-CoV-2
Authors: Lin Che-Yu , Su Shannon , Chuang Ann Yi-Chiun
Published: February 2025

This case report describes an unprecedented remission of ocular Myasthenia Gravis (MG) in a 3-year-old girl following a SARS-CoV-2 infection. Both MG and SARS-CoV-2 influence the cholinergic system, and this case underscores the importance of considering multiple factors in autoimmune disorders and the potential impact of viral infections on their course. The patient initially presented with ptosis and limited eye movement. Her diagnosis of seronegative MG was confirmed with abnormal visual evoked potentials and positive response to pyridostigmine. Her ptosis and limited extraocular muscle movement were intermittent until 2 years later when she tested positive for SARS-CoV-2 for which no antiviral medication was taken. Unexpectedly, her MG symptoms rapidly improved postinfection, leading to the cessation of pyridostigmine. This case highlights the complex interplay between MG, viral infections, and the influence of anti-acetylcholine receptor antibodies, second-hand smoke, and natural nicotinic agonists from the use of pyridostigmine on the cholinergic system.