bluuebunny/crossref_metadata_2025 huggingface dataset:
Pesquisando o uso de dicionários
Authors: Andreas Welker Herbert
Published: August 2024

A nível internacional, já existe uma quantidade considerável de pesquisas sobre o uso de dicionários; porém, no Brasil o número ainda é bem reduzido. Quanto aos resultados, percebem-se algumas tendências, mas muitas questões permanecem em aberto. Neste artigo, faço uma distinção entre pesquisas sobre as idéias e atitudes dos usuários e pesquisas sobre o efeito do uso de dicionários. Chamo a atenção para o fato de que é necessário explicitar o que exatamente é pesquisado, diferenciandose entre tipos de usuários, tipos de dicionários e situações de uso. Depois de fazer um breve relato da pesquisa mais abrangente já realizada (descrita em Atkins e Varantola, 1998) e após algumas observações sobre os métodos empregados, mostro o que tem sido publicado nessa área no Brasil.
Association between Inhibitory–Excitatory Balance and Brain Activity Response during Cognitive Flexibility in Young and Older Individuals
Authors: Rodríguez-Nieto Geraldine , Alvarez-Anacona David F. , Mantini Dante , Edden Richard A. E. , Oeltzschner Georg , Sunaert Stefan , Swinnen Stephan P.
Published: August 2024

Cognitive flexibility represents the capacity to switch among different mental schemes, providing an adaptive advantage to a changing environment. The neural underpinnings of this executive function have been deeply studied in humans through fMRI, showing that the left inferior frontal cortex (IFC) and the left inferior parietal lobule (IPL) are crucial. Here, we investigated the inhibitory–excitatory balance in these regions by means of γ-aminobutyric acid (GABA+) and glutamate + glutamine (Glx), measured with magnetic resonance spectroscopy, during a cognitive flexibility task and its relationship with the performance level and the local task-induced blood oxygenation level-dependent (BOLD) response in 40 young (18–35 years; 26 female) and 40 older (18–35 years; 21 female) human adults. As the IFC and the IPL are richly connected regions, we also examined whole-brain effects associated with their local metabolic activity. Results did not show absolute metabolic modulations associated with flexibility performance, but the performance level was related to the direction of metabolic modulation in the IPL with opposite patterns in young and older individuals. The individual inhibitory–excitatory balance modulation showed an inverse relationship with the local BOLD response in the IPL. Finally, the modulation of inhibitory–excitatory balance in IPL was related to whole-brain effects only in older individuals. These findings show disparities in the metabolic mechanisms underlying cognitive flexibility in young and older adults and their association with the performance level and BOLD response. Such metabolic differences are likely to play a role in executive functioning during aging and specifically in cognitive flexibility.
Abstracting the Debate over Fair Value Measurement and Arm's Length Principle: Implications for Tax Purposes
Authors: Saptono Prianto Budi , Khozen Ismail
Published: August 2024

Purpose: The requirement for a transaction price measurement system that accurately reflects actual value is becoming increasingly urgent as firms expand globally. The argument over the applicability of fair value (FV) and arm's length principle (ALP) arose since both are applicable concurrently due to their broad confluence. This study analyzes and synthesizes the similarities and distinctions, as well as the impact of FV and ALP on tax purposes.Method: The study is descriptive qualitative in nature. We gathered data through document analysis and in-depth interviews. Five informants from academics, policymakers, and tax practitioners were involved in the study. Before the interview, we familiarized the outline to decrease the random error, and all informants gave verbatim consent.Findings: An outline of the relationship between FV and ALP and their origins is provided. The direction in which the two procedures are designated is crucial, even though they can be employed concurrently to accomplish the entity's objectives, one for financial reporting and the other for transfer pricing. The narrative describing the similarities and contrasts between the two methods also plays a role in the analysis. It discusses the significance of the long-established ALP regime to FV, which has recently gained much attention even though it appears to be new. Finally, prudence in taking policies related to the harmonization of FV and ALP is an emphasis on considering the consequences for tax purposes. ALP is more often acknowledged by tax administration than FV. Implementing FV for tax purposes is discussed, along with related considerations.Novelty: The contribution of this work is a more brief and straightforward understanding of the business environment and the literature regarding FV and ALP. In contrast to the overarching goal of prior works, the current study analyzes the impact of FV and ALP adoption on taxation.
Cordycepin suppresses steroidogenic acute regulatory protein expression by reducing SP1 in human granulosa-lutein cells
Authors: Zhang Lingling , Zhou Shenghui , Bi Beibei , Wang Hailong , Fu Bingxin , Guo Manman , Luo Siwei , Cheng Jung-Chien , Fang Lanlan
Published: August 2024

In brief

Cordycepin (COR), a compound derived from Cordyceps, is recognized as an adenosine analog with numerous beneficial effects on human health. However, its impact on steroidogenic acute regulatory protein (STAR) expression in ovarian granulosa cells is not well understood. This study demonstrates that COR downregulates STAR expression by reducing the expression of the SP1 transcription factor.

Cordycepin (COR), a pure compound of Cordyceps, is known as an adenosine analog that exerts many beneficial effects on human health. The steroidogenesis mediated by ovarian granulosa cells is pivotal in maintaining normal female reproductive function. The steroidogenic acute regulatory protein (STAR) regulates the rate-limiting step in steroidogenesis. COR has been shown to stimulate STAR expression in mouse Leydig cells, the steroidogenic cells in the testes. However, the effect of COR on STAR expression in ovarian granulosa cells remains undetermined. In the present study, we show that treatment with COR downregulates STAR expression in a steroidogenic human granulosa-like tumor cell line, KGN, and primary culture of human granulosa-lutein (hGL) cells obtained from patients undergoing in vitro fertilization. We used specific adenosine receptor (AR) antagonists, and our results reveal that the inhibitory effect of COR on STAR expression is mediated by AR–A1, AR–A2A, and AR–A3. In both KGN and primary hGL cells, COR activates ERK1/2 and AKT signaling pathways, but only activation of ERK1/2 is required for the COR-induced downregulation of STAR expression. In addition, our results demonstrate that COR downregulates STAR expression by reducing the expression of the SP1 transcription factor. These results provide a better understanding of the biological function of COR on STAR expression in the ovary, which may lead to the development of alternative therapeutic approaches for female reproductive disorders.
On structure of branched continued fractions
Authors: Antonova T.M.
Published: August 2024

The paper provides a survey of various multidimensional generalizations of continued fractions that arose when solving the problem of approximating functions of one or several variables, including some hypergeometric functions. It is shown that all these generalizations can be considered as separate cases of the general concept of a branched continued fraction, the definition of which is given in the work.
Estrategias de afrontamiento al estrés en docentes:
Authors: Pulido Varon Heidi Smith , Llerena Marulanda Laura María , Cabrera Almanza Shaira Paola , Ruíz Palacio Jorge Andrés
Published: August 2024

The main objective is to analyze the strategies for coping with stress in teachers at the San Francisco de Asís Parish School (Bello, Antioquia). The research approach is qualitative, and the method is phenomenological, since it allows us to identify and analyze the subjective and dynamic realities of the context, based on the conscious experiences of the actors addressed. The techniques used for information collection and analysis were social cartography, situation murals and in-depth interviews. From this analysis, categories such as work stress, self-sabotage, emotional self-management and absence of psychosocial support emerge. The findings obtained present a humanized dimension of the teaching experience and the daily ways they find to face the stress derived from their daily functions and challenges within the educational system.
Cultura y medios de comunicación - impacto en la expresión oral. Perspectiva de Walter Ong
Authors: Calderón Castro Leidy Yurley , Gómez Contreras Paulo Enrique
Published: August 2024

Este artículo expone cómo nuestra investigación estuvo encaminada al análisis de la incidencia de la teoría de Ong en el fortalecimiento de la expresión oral desde la cultura y los medios de comunicación en el Instituto Arquidiocesano San Francisco de Asís de Pamplona, Norte de Santander, Colombia. Se tuvo como marco de inteligibilidad la teoría del Ong mediante un enfoque cualitativo y el método Investigación-Acción. La información fue recolectada mediante diferentes herramientas tales como: una prueba de entrada, entrevista, diario de campo y la prueba de salida. Aplicadas las entrevistas los docentes establecieron diferentes barreras en el desarrollo de la expresión oral de los estudiantes entre las que se identificaron: falta de estrategias, inhibición y miedo escénico. En la implementación de la estrategia pedagógica se observaron deficiencias en el proceso de aprendizaje, lo que permitió aplicar correcciones de manera gradual; esto se reflejó en los resultados al mostrar una brecha en comparación con los resultados de la prueba de entrada.
EFFECT OF SNO2 POROUS STRUCTURE ON ITS OPTICAL AND PHOTOELECTROCHEMICAL PROPERTIES IN WATER AND WATER-METHANOL SOLUTIONS
Authors: GRIBOV E N. , KOSHEVOY E I. , KUZNETSOV A N. , KOZLOV D V. , PARMON V N.
Published: August 2024

Tin(IV) oxide is a wide-gap semiconductor material that is widely used in photooxidation reactions of organic compounds. However, the relationship between energetic and photoelectrocatalytic properties in the oxidation of small organic molecules has not yet been sufficiently explored. In this work, a series of tin oxides were synthesized using hydrothermal, sol-gel, and template methods. Polystyrene spheres with a size of 250 nm, as well as cetyltrimethylammonium bromide, were used as templates. X-Ray diffraction, low-temperature nitrogen adsorption, X-ray photoelectron spectroscopy, Raman spectroscopy and diffuse reflectance spectroscopy methods were used to study the structure, surface composition, optical and energy characteristics. Using photoelectrochemical methods, the potentials of the conduction band and valence band were determined, and photocurrents in aqueous and aqueous-methanol solutions were studied depending on electrode polarization. It is shown that the preparation method (sol-gel or hydrothermal) does not affect the position of energy bands, while the use of a template during synthesis leads to an increase in the average pore diameter in the samples and an increase in photocurrent values in the presence of methanol. It has been established that for template-synthesized samples, the magnitude of photocurrents in a water-methanol mixture increases with an increase in the valence-band potential. The sample prepared by the hydrothermal method using a template showed the highest photocurrent values both in the background electrolyte (17.3 μA/cm2) and in the presence of methanol (26 μA/cm2), compared to the sample prepared without using a template in the electrolyte with the addition of methanol (7.6 μA/cm2) and without it (7.8 μA/cm2).
NEW COMPONENTS OF LOW-VISCOSITY MARINE FUEL BASED ON LOW-VALUE AND BY-PRODUCTS OF OIL REFINING
Authors: DYACHKOVA S G. , ARTEMEVA ZH N.
Published: August 2024

A comprehensive study of the hydrocarbon composition and physicochemical properties of by-products of oil refining and petrochemistry was carried out to search for new low-margin components of low-viscosity marine fuel (LMF) and to optimize the fuel composition for expanding the raw material base of LMF. The possibility of involving the heavy fractions from primary and secondary oil refining in LMF has been established: 10-12 % higher-weight diesel fraction, 47-60 % straight-run medium distillate fraction, 2-10 % heavy diesel fraction, 35% vacuum distillate, 10 % still residue from hydrogenation units, 4-10 % light catalytic cracking gas oil. A method has been found for obtaining a new component of LMF - a fraction boiling within 180-270 °C, obtained from oil refining wastes after their dehydration and fractionation in the yield of up to 30 %, the involvement of which in LMF (5 %) will give an economic effect of about 7 million roubles per year. Mathematical modelling was used to optimize the composition of fuel from the main and by-products, taking into account the production volumes and the actual values of critical indicators of each component. A method has been found for obtaining a new component of LMF - a fraction boiling within 180-270 °C, obtained from oil refining wastes after their dehydration and fractionation in the yield of up to 30 %, the involvement of which in LMF (5 %) will give an economic effect of about 7 million roubles per year. Mathematical modelling was used to optimize the composition of fuel from the main and by-products, taking into account the production volumes and the actual values of critical indicators of each component.
BIOLOGICAL ACTIVITY CALCULATED BY THE PASS METHOD AND EXPERIMENTAL ASSESSMENT OF THE ACIDITY OF NH GROUPS IN SULPHONAMIDE POLYCHLOROETHYLATED ARENES AND GLYCINE DERIVATIVES IN DIMETHYL SULPHOXIDE MEDIUM
Authors: TKACHUK D O. , AIZINA YU A. , SHAGLAEVA N S.
Published: August 2024

The acidity of NH-groups of a number of sulphonamides and glycine derivatives in a dimethyl sulphoxide medium has been investigated using the potentiometric method. Dissociation constants of these compounds are determined from titration curves. It is shown that the acidity of NH groups in the studied sulphonamides is controlled by the polar effect of substituents. The possibility of quantitative potentiometric analysis of glycine derivatives has been established for the first time. Biological activity has been predicted with the help of PASS software. The correlation of NH group acidity with the biological potential of the compounds has been established.
OLEOPHILIC SORBENTS BASED ON GRANULAR FOAMED SILICATE: PROPERTIES AND FEATURES OF REGENERATION
Authors: TSYBULSKAYA O N. , KSENIK T V. , YUDAKOV A A. , PAVLOV V F.
Published: August 2024

The solution to the problems of ecological safety when cleaning water objects from organic pollutants is indissolubly related to developing new sorbents and improving the technologies of their synthesis. Various materials in dispersed and granulated forms are successfully used in the production of sorbents. This article deals with the development and improvement of the technologies for producing the sorbents of petroleum and petroleum products. As a basis for the development of new sorbents, the properties of the granular foamed silicate obtained from the siftings of waste products from mining and processing plants were studied. The trial batches of oleophilic sorbents were obtained through thermochemical modification of hydrocarbons in the gas-vapour phase. It has been established that foamed silicate does not change its porous structure and amorphous state after thermo-chemical modification, retaining the high sorption activity. The nature of the porous structure of sorbents and the influence of porosity on their key properties, such as oil capacity, water absorption, and buoyancy, are investigated. The studies of the fractions of modified foamed silicate revealed low water-absorption capacity of the coarse- and middle-sized fractions. The minimum water absorption was determined for the fine fraction of the modified material, which is related to the absence of pores in these samples. Determination of oil capacity characteristics provides evidence of high oil receptivity and sorption capacity of the modified foamed silicate with respect to petroleum products. The results of experiments on sorbent regeneration after the end of its service life are presented. The developed semi-production experimental plant for the modification and regeneration of porous loose materials in the fixed bed is presented. The technological scheme of regeneration is proposed, allowing for regeneration and repeated modification of the used sorbent during one processing stage without any decrease in its sorption properties. The advantage of the developed technology of sorbent properties recovery is in the implementation simplicity and economic rationality. The repeatedly modified sorbent retains its characteristics and, first of all, sorption properties with respect to petroleum products. The practicability of developing new sorbents of petroleum products based on granular foamed silicate is demonstrated.
PREPARATION OF DEEP EUTECTIC SOLVENTS FOR MAKING AN OIL-DISPLACING COMPOSITION BASED ON TETRAHYDROXY ALCOHOL, CARBAMIDE, QUATERNARY AMMONIUM SALT, AND A SURFACTANTS
Authors: SHOLIDODOV M R. , SAIDENTSAL A R. , ALTUNINA L K. , KOZLOV V V. , KUVSHINOV V A. , STASYEVA L A. , MUSTAFIN R N.
Published: August 2024

The binary systems of deep eutectic solvents (DESs) have been synthesised and investigated: tetraxydroxy alcohol - a salt of a quaternary ammonium base (DES1), tetrahydroxy alcohol - carbamide (DES2), a salt of a quaternary ammonium base - carbamide (DES3), and the ternary system tetrahydroxy alcohol - a salt of a quaternary ammonium base - carbamide (DES4). Eutectic compositions of binary systems DES1, DES2 and DES3 are characterised by significantly lower pour/melting points than those of the initial components. The lowest pour point among the binary mixtures is that of eutectic composition DES3. The ternary system is characterised by an even lower melting point (-14 °C), which is associated with the formation of intermolecular donor-acceptor hydrogen bonds within the system. An aqueous solution of DES4 with the concentration of 26 wt% was prepared, and its pH value was determined depending on temperature during preparation. At room temperature, pH of three-component DES is 6.6-7.1, but after thermostating for 6 h at 150 °C pH increases to 9.2 due to carbamide hydrolysis. It is assumed that further on, using DES4 as the basis for an alkaline oil-displacing composition directly in the reservoir, under the influence of the temperature of injected heat carrier, CO2 is formed, along with the ammonia buffer system with the maximal buffer capacity within the pH range 9-10. Resulting carbon dioxide, dissolving predominantly in oil, will cause a decrease in its viscosity, on the one hand, while the formed alkaline medium, being most favourable for surfactant performance due to a decrease in interfacial tension, liquefaction of high-viscosity layers or films at the oil-water-rock boundaries, on the other hand, will ensure efficient use of this system for oil displacement. In addition, the oil-displacing composition based on DES4 will be low-solidifying, which opens the possibility of its transportation and use in the northern regions and the Arctic zone.
TARGETED SCREENING OF PHENOLIC TOXICANTS IN WATERS AND BOTTOM SEDIMENTS OF THE MIDDLE REACHES OF THE DON RIVER
Authors: GUBIN A S. , SUKHANOV P T. , KUSHNIR A A.
Published: August 2024

The targeted screening of 11 phenolic toxicants (phenol, chlorophenols, 2,4-dichlorophenoxyacetic acid, octylphenol, nonylphenol, bisphenol A) has been carried out over river water and bottom sediments (BS) in the middle reaches of the Don river within the boundaries of the Voronezh Region. Three sampling points were selected for quantitative chemical analysis: in the zone affected by the discharge of sewage treatment plants of a large city (Voronezh), in the district centre (the city of Liski), and in an area with insignificant anthropogenic influence. The concentrations of phenolic compounds were determined using gas chromatography - mass spectrometry (GC-MS), the analytes were preconcentrated on a magnetic sorbent functionalised with aminated hypercrosslinked polystyrene. Sampling was carried out four times a year, taking into account seasonal climatic fluctuations and precipitation. The maximum concentrations were established in the spring for 2,4-dichlorophenoxyacetic acid (1022 ng/L) and 2,4-dichlorophenol (557 ng/L). In bottom sediments, the highest concentrations are achieved for alkylphenols: 1.99 and 7.84 μg/g for octylphenol and nonylphenol, respectively. Bisphenol A has not been found in detectable amounts in waters, however, a significant concentration of this compound has been found in bottom sediments: 3.18 μg/kg. The bottom sediments were also determined to contain 2,4,5-trichlorophenol, 2,4,6-trichlorophenol and pentachlorophenol. The maximum concentrations of phenolic pollutants in river water are usually observed in spring during high water and after heavy rainfall. Phenol concentrations in bottom sediments are less susceptible to seasonal fluctuations. The hydrophobicity of substances and an increase in their stability against degradation significantly affect their accumulation in BS.
Decolonizing Literary Studies: Unveiling Postcolonial Narratives in Post-Yugoslav Academic Curricula*
Authors: Vukotić Sara , Ilin Darko
Published: August 2024

This paper explores the presence and integration of postcolonial studies in literature education within the faculties of philology in the capitals of the former Yugoslav countries. Focusing on the emerging field of critical curriculum studies, the research delves into the nuanced landscape of literature education, particularly at higher levels, specifically emphasizing literary students’ specialized education. The study contextualizes postcolonial studies as a hybrid space for theoretical discourse, tracing its roots to anticolonial critique and contemporary Western theories. Drawing on the anticolonial heritage of socialist Yugoslavia and its involvement in the Non-Aligned Movement, the paper navigates the complexities of (post)colonial dynamics in the Balkans. This paper investigates the presence, or absence, of postcolonial theory in literature curricula within humanities faculties in the former Yugoslav countries’ capital cities. This research is based on the close interconnection of literature and postcolonial theory, whose origins lie within the literary representation of colonization relations. The primary objective is to discern the extent to which postcolonial studies are integrated into literary education and what implications this holds within the national context. Through an examination of course programs and content at various academic levels, the research aims to illuminate the role of postcolonial theory in shaping the narrative of literature education in the context of the former Yugoslavia.
The Understanding of the Meaning of Intercultural Communication by Non-philological and Philological Students of Business English Courses at the University of Presov
Authors: Dančišinová Lucia
Published: August 2024

Intercultural communication has been a widely discussed concept within the study of culture and communication in a social context. In classrooms today, intercultural communication is presented and explained even with greater variety than it is approached in theory and research. The aim of the paper is to analyse and compare the process of definition of intercultural communication in university textbooks with the definitions by philological and non-philological students of Business English courses at the University of Presov, to illustrate the possible problems with understanding the meaning as a result of different purposes and contexts of educational reality. The comparative analysis of definitions of intercultural communication by philological and non-philological students of Business English courses showed that philological students defined the concept in a more complex way, revealing a more developed linguistic competence in accordance with the definitions of intercultural communication in the analysed university textbooks. The analysis of university textbooks’ definitions also highlighted that approaches to intercultural communication are connected with disciplinary practices.
The Evaluation of Metaphoric Perceptions of the Concept of “Geography” by Geography Teacher Candidates
Authors: Kaya Baştürk , Aladag Caner
Published: August 2024

This study was carried out to reveal the metaphors by geography teacher candidates about the concept of “Geography.” The data of the study were collected with qualitative research method and the study was carried out on the pattern of phenomenology. The data were subjected to content analysis. In order to determine the students’ perceptions about the concept of geography, a semistructured form was prepared, and this form included the sentence of “Geography is like a/an ..........., because ........” Students were asked to complete this sentence in the form. When the findings of the study were evaluated, it was seen that 86 valid metaphors had been produced by the students. These metaphors were coded in terms of their common features and 8 different conceptual categories were created. The prominent ones of these categories were “Geography as the source of discovery and learning,” “Geography as the source of diversity,” “Geography as similar to humanity,” “Geography as the source of peace and acceptance,” and metaphor numbers and frequencies of these categories were high.
Writing systems: political and bibliological issues
Authors: Migoń Krzysztof
Published: August 2024

Bibliology — the study of the book's culture—is rich in the tradition of writing research. The theoretical basis of this paper is the scheme of bibliology by Robert Estivals, who proposed a new course of this science called "the political research of writing: the authorities and the writing systems." Writing systems have always been understood as tools of social communication, which were highly influenced by politics. For political reasons, writing creates a certain (sometimes an entirely new) type of media reality. The mutual relationships that shape this process occur in the following sequence: politics → writing (a writing system) → book (a book system) → user of the book system. The following spheres are of primary significance:
(1) The creation of scripts for languages and ethnic groups whose languages are unwritten;
(2) The alterations of writing systems introduced by state, religious authorities, and/or intellectual elites;
(3) The quantity of writings used in one language;
(4) The great number of writings used in one state;
(5) Writing as the means of upholding national and religious heritage;
(6) The national and local variants of "universal" writings as a form of political manifestation.
A political perspective is an all-too-useful scientific category as far as the study of writing systems and books within bibliology is concerned. Its application enriches our knowledge of the culture of the book from global and national (ethnic) perspectives. It may also play an important role in contemporary book policy on a local or international scale.
Bibliotherapy, reading and life quality coherence: interdisciplinary point
Authors: Janavičienė Daiva
Published: August 2024

Culture is revealed through communication. Culture in a knowledge society cannot be separated from the public and free word in books. The public word in books and mass media is important in many respects. Recently, we could only read popular information on psychology in secret printing presses, with copies traveling from hand to hand. Any restrictions encroach on human quality of life. The action of forbidding something (such as using a national language) is an evident dishonor to a nation's quality of life.
The purpose of this article is to analyze the concepts of: 1) quality of life, 2) reading, and 3) bibliotherapy connections.
Every concept used in the title of the report has more than one meaning. The quality of life is a broad and often-used concept. To increase quality means to do something in a better way, or the opposite. In the article, concrete indicators are supported with the expressed and measured term "quality of life," which is connected with a country’s citizens' welfare and social development. There are three main indicators of social development: literacy rate, life expectancy, and capital stock. According to these, the enumerated index is also called the quality of life by some scientists (Baris K. Yoruk, Osman Zaim). The ideas of this article are supported according to this point of view.
All three indicators that describe a society's quality of life can be associated with reading. There is a possible presumption that reading skills and their successful usage depend on educational achievements—literacy rate (the first indicator of the quality of life). The quality of life is also expressed through the influence of the other two indicators, which are:

How much time a person realistically has and will have for reading (life expectancy—how long the person is going to live—does not include the person's intention to allocate time or attention to such an activity from their own free time). Does the acquired education encourage a person to remain curious and seek wisdom through reading throughout life?

Within the limits of the second indicator (the level of capital stock) of quality of life, the question is formulated: how many financial resources can a person allocate for desired activities (referring to whether a person's level of capital stock allows them to satisfy their reading requirements—limiting the possibility to buy desired books and documents). Will the acquired education encourage the person to attribute books and other documents to the necessary resources for achieving a normal level of life?

Conclusion: In this work, the concepts of quality of life, reading, and bibliotherapy are analyzed. Their interconnected interaction can be defined as: Bibliotherapy, supported by reading technologies and dialogues, can be used as a method to improve a person's quality of life.
Publication about book and library history in K6nigsberg
Authors: Krivienė Irena
Published: August 2024

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Russification reforms in the Baltic provinces and their impact on book production in Estonia
Authors: Reimo Tiiu
Published: August 2024

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Latgalijos knygininkystė lotyniško rašto draudimo metais: istoriografija (1904-2004)
Authors: Zanders Vesturs
Published: August 2024

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A plataformização chegou no trabalho do sexo
Authors: Borges da Silva Mirian
Published: August 2024

O presente artigo trata da problemática advinda da intersecção entre dois enquadramentos: o trabalho plataformizado e o trabalho do sexo. Para entender como chegamos ao trabalho do sexo plataformizado, realizamos um breve percurso do “trabalho” no capitalismo, amparado pela sociologia do trabalho. Posteriormente, iniciamos uma análise de rede da plataforma OnlyFans, a partir da qual entendemos a nova fase de liberalização da economia e flexibilização das relações de produção que a Indústria 4.0 engendra. Assim, nossa discussão se desenvolve de forma a expor e problematizar os efeitos desse processo de precarização, que envolvem: a problemática dos trabalhos feminilizados como improdutivos, a atualização da lógica de interação com o capital por meio da plataforma e a transformação, cada vez maior, de trabalhos (antes colocados como improdutivos) em diretamente produtivos. Com este debate, pretendemos dar visibilidade a um trabalho intrinsecamente informal, como o trabalho do sexo, que, assim como os trabalhos feminilizados, estão na base de qualquer sociedade e estão sendo privados, de forma cada vez mais intensa, de seguridade social.
Evaluating Linear and Non-Linear Regression Techniques for Video Game Sales Prediction
Authors: Singh Abhishek , Hasan Zohaib , Vishwakarma Zeba , Banshal Akash , Kushwaha Sneha
Published: August 2024

The video game industry is a multi-billion dollar sector that thrives on data-driven decision-making. Accurate sales predictions can significantly impact marketing strategies and inventory management. This research evaluates various machine learning models to predict video game sales using a dataset sourced from Kaggle. We preprocessed the data, engineered features, and tested multiple regression models, including Linear Regression and Support Vector Machines. The results indicate that Linear Regression achieved an R2 score of 0.83, demonstrating its effectiveness in predicting game sales based on features such as platform, developer, rating, and publisher.
Security in the Internet of Things (Iot): A Review, Block Chain Applications
Authors: Sahu Ranu , Verma Saurabh , Sahu Nidhi , Shripal Sourbh
Published: August 2024

The rise of smart technologies in various domains such as homes, cities, and other interconnected systems has propelled the Internet of Things (IoT) into a realm of immense influence, potential, and expansion. Cisco Inc. has forecasted a staggering 50 billion connected devices by 2020, underscoring the rapid proliferation of IoT. Despite this growth, a significant concern looms over the security of these IoT devices, as many are susceptible to hacking and compromise. Their limited computational, storage, and networking capabilities render them more vulnerable compared to traditional endpoint devices like smartphones, tablets, and computers.This paper examines and categorizes the major security challenges facing IoT devices. It reviews prevalent security issues within the layered architecture of IoT, encompassing networking, communication, and management protocols. The paper also delineates the security prerequisites for IoT and surveys current attacks, threats, and state-of-the-art solutions. Additionally, it presents a comparative analysis of IoT security challenges and existing solutions found in the literature.Furthermore, the paper delves into the potential of blockchain, the foundational technology behind bitcoin, as a pivotal tool for addressing numerous security issues in IoT. It discusses how blockchain can enhance security in IoT ecosystems. The paper concludes by outlining open research problems and ongoing challenges in IoT security, underscoring the need for continued innovation in this domain.
Enabling Real-Time AI at the Edge: Federated Learning Framework with Privacy Preservation
Authors: Vishwakarma Prof. Abhishek , Tiwari Prof. Shivam , Sahu Prof. Ranu , Jain Prashu , Jain Sakshi
Published: August 2024

This abstract introduces a federated learning framework designed for edge computing environments, enabling real-time AI applications while safeguarding user privacy. The framework leverages distributed edge devices for collaborative model training without central data aggregation, incorporating privacy-preserving techniques like differential privacy and secure aggregation. Experimental validation demonstrates its effectiveness in maintaining model accuracy and ensuring data confidentiality, supporting its suitability for edge-based AI implementations.
Leveraging Artificial Intelligence for Climate Change Mitigation: Predictive Models, Optimization Techniques, and Sustainable Solutions
Authors: Tiwari Prof. Shivam , Vishwakarma Prof. Abhishek , Loniya Prince Kumar , Jatav Jigyasha Roselya
Published: August 2024

Climate change presents a critical global challenge necessitating innovative solutions. This paper explores the transformative potential of artificial intelligence (AI) in climate change mitigation through predictive modeling, optimization techniques, and sustainable solutions. By integrating AI with climate science, the research aims to enhance the accuracy of climate predictions, optimize renewable energy resource utilization, and develop AI-driven systems for sustainable urban planning. The introduction outlines the pervasive impact of climate change and identifies current limitations in traditional mitigation approaches. The objective is to harness AI's capabilities to revolutionize climate science by developing advanced predictive models capable of capturing complex climate dynamics and regional variations. Optimization techniques, including genetic algorithms and reinforcement learning, are employed to maximize the efficiency of renewable energy systems, thereby reducing dependency on fossil fuels and mitigating greenhouse gas emissions. Methodologically, the study involves comprehensive data collection from satellite imagery, climate records, and renewable energy outputs. Machine learning and deep learning models, such as convolution neural networks (CNNs) and recurrent neural networks (RNNs), are selected for climate prediction, with rigorous training and validation processes to assess performance metrics. Results showcase the effectiveness of AI in improving climate predictions and optimizing energy resource management. Case studies in smart city simulations and renewable energy integration demonstrate the practical implications of AI-driven solutions for sustainable development.
Optimizing Data Processing and Security in Edge Computing For Iot Applications
Authors: Tiwari Prof. Shivam , Pali Prof. Pankaj , Patel Prof. Abhishek , Pasi Jatin , Jain Mouli
Published: August 2024

Edge computing has emerged as a pivotal paradigm in the realm of Internet of Things (IoT) applications, addressing challenges of latency, bandwidth, and reliability by decentralizing computation and storage closer to the data source. This paper explores the critical aspects of optimizing data processing and enhancing security in edge computing environments to foster efficient and secure IoT deployments. In recent years, the proliferation of IoT devices has led to an exponential growth in data generation at the edge. Traditional cloud-centric approaches struggle to cope with the sheer volume and velocity of data produced by these devices, often resulting in latency issues and increased operational costs. Edge computing offers a promising solution by enabling data processing and analytics closer to where data is generated, thereby reducing latency and bandwidth consumption. The first part of this paper reviews the foundational concepts of edge computing, emphasizing its architectural principles and distinguishing characteristics in contrast to centralized cloud computing. Key optimization strategies for data processing at the edge are discussed, including edge analytics, data filtering, and compression techniques. These strategies aim to minimize data transmission to centralized cloud servers, thereby enhancing operational efficiency and real-time responsiveness in IoT applications.
Investigating Challenges and Future Directions in Cloud Computing Forensics: A Comprehensive Review
Authors: Dwivedi Prof. Mallika , Pali Prof. Pankaj , Choubey Jaya , Mishra Abhishek , Hedau Himani
Published: August 2024

Cloud computing forensics has emerged as a critical field due to the widespread adoption of cloud services in various sectors. This comprehensive review aims to investigate the challenges and future directions in cloud computing forensics. The paper identifies key obstacles such as data volatility, multi-tenancy, and jurisdictional issues that hinder effective forensic investigations in cloud environments. It also explores current methodologies, tools, and frameworks used in cloud forensics, evaluating their strengths and limitations. Furthermore, the review highlights emerging trends and proposes potential research directions to address existing gaps. By synthesizing current knowledge and identifying future prospects, this paper seeks to provide a robust foundation for advancing cloud computing forensics, ensuring improved security and reliability in cloud services.
Enhancing Cloud Security Integrating Deep Learning & Data Mining: A Comprehensive Review
Authors: Pali Prof. Pankaj , Tiwari Prof. Shivam , Soni Prof. Kuldeep , Budholia Dakshina , Prajapati Harshana
Published: August 2024

Cloud computing plays a pivotal role in data storage and online services, offering benefits such as easy access, on-demand storage, scalability, and cost-efficiency. Its rapidly evolving technologies can enhance the security of the Internet of Things (IoT) and Cyber-Physical Systems (CPS) against cyber threats. Given the increasing prevalence of sophisticated malware, traditional detection methods are often inadequate due to advanced evasion techniques. This article provides a comprehensive review of cloud-based malware detection technologies and explores the use of cloud computing in safeguarding IoT and critical infrastructure. It evaluates the pros and cons of cloud environments for malware detection and introduces a deep learning and data extraction methodology for detecting cloud-based malware. Additionally, it discusses recent research on malware propagation issues and compares various detection approaches, identifying their strengths and weaknesses. The study's findings offer valuable insights for addressing current challenges in malware research.
Watermarking Techniques with Yuv Layered Approach
Authors: Verma Prof. Saurabh , Tiwari Prof. Shivam , Kori Pavani , Tiwari Muskan
Published: August 2024

Watermarking is a technique used to embed hidden data or identification information within digital multimedia. With the rise of the internet, the creation and distribution of digital data (images, video, and audio files) have significantly increased, leading to issues concerning content protection and ownership proof. Digital image watermarking addresses these issues by embedding a watermark into the data to assert ownership and protect rights. To safeguard the watermark from counterfeiters, it must be embedded in locations resilient to various attacks (rotation, scaling, compression, cropping, filtering, and blurring). Effective watermarking hides a message signal within a host signal without perceptual distortion. This paper adopts a hybrid transformation approach to modify the cover image's singular values rather than the DWT sub-bands, making the watermark resistant to attacks while maintaining the image's original state. Simulation results support the effectiveness of the proposed methods.
Protecting Cloud Data: A Machine Learning Approach for Data Classification in Cloud Computing
Authors: Pateriya Prof. Nidhi , Anjum Prof. Gulafsha , Thakre Prof. Neha , Shrivaas Vaishnavi , Soni Vibhanshu
Published: August 2024

Cloud computing (CC) is a modern framework that enables users to store data on remote servers accessible via the internet. This model facilitates easy access and transfer of personal and critical data, leading to increased demand. Users can store various types of data, including financial transactions, documents, and multimedia content. Additionally, CC reduces reliance on local storage and lowers operational and maintenance costs. However, existing systems typically encrypt all data with the same key size, irrespective of its confidentiality level, resulting in higher processing costs and time. Moreover, these methods often classify data with low accuracy and fail to provide adequate confidentiality. This research introduces a cloud computing approach that employs automated data classification to assess data sensitivity. The proposed model categorizes data into three sensitivity levels: basic, confidential, and highly confidential. It utilizes Random Forest (RF), Naïve Bayes (NB), k-nearest neighbor (KNN), and Support Vector Machine (SVM) classifiers, incorporating automated feature extraction. The model achieved an accuracy of 92%, as demonstrated in simulation results. The findings indicate that RF, NB, and KNN outperform SVM. The research also offers valuable guidelines for cloud service providers (e.g., Dropbox and Google Drive) and researchers.
The Role of Network Meta-Analysis in Guideline Development and Policy Making
Authors: Jain Dr. Prerna , Choubey Prof. Khushboo , Soni Prof. Kuldeep , Satish Ashwin , Patel Aysuh
Published: August 2024

Network meta-analysis (NMA) is an advanced statistical method that extends beyond traditional pairwise meta-analysis by allowing the simultaneous comparison of multiple interventions using both direct and indirect evidence. This approach is increasingly crucial in guideline development and policy making, as it provides a comprehensive view of treatment effects across various interventions. In guideline development, NMA enhances decision-making by integrating a broader range of evidence, including comparisons between treatments not directly studied against each other. This helps guideline committees formulate recommendations based on relative effectiveness and safety. In policy making, NMA informs resource allocation and healthcare planning by evaluating the comparative value of interventions, which supports optimal health outcomes and cost-effectiveness. However, NMA also faces challenges such as data quality, methodological complexity, and the risk of publication bias. Addressing these challenges is essential for maximizing the utility of NMA in developing evidence-based guidelines and policies. Overall, NMA plays a critical role in advancing healthcare practices by offering a robust framework for integrating diverse evidence and guiding informed decision-making.
Parkinson’s disease and levodopa-induced dyskinesias: a quantitative analysis through 99mTc-TRODAT-1 SPECT imaging of the brain
Authors: Pitella Felipe Arriva , Alexandre-Santos Leonardo , Lacerda Kleython José Coriolano Cavalcanti de , Trevisan Ana Carolina , Kato Mery , Padovan-Neto Fernando Eduardo , Tumas Vitor , Wichert-Ana Lauro
Published: August 2024

Abstract Objective: To compare the dopamine transporter (DAT) density with other risk factors for L-DOPA-induced dyskinesia (LID) in patients with Parkinson’s disease (PD), with and without LID. Materials and Methods: We evaluated 67 subjects: 44 patients with idiopathic PD of varying degrees of severity (PD group), and 23 healthy age-matched volunteers (control group). Among the 44 patients in the PD group, 29 were male and the following means were recorded at baseline: age, 59 ± 7 years; disease duration, 10 ± 6 years; Hoehn and Yahr (H&Y) stage, 2.16 ± 0.65; and Unified Parkinson’s Disease Rating Scale part III (UPDRS III) score, 29.74 ± 17.79. All subjects underwent 99mTc-TRODAT-1 SPECT. We also calculated specific uptake ratios or binding potentials in the striatum. Results: The DAT density in the ipsilateral and contralateral striata was lower in the PD group. The variables disease duration, L-DOPA dosage, doses per day, L-DOPA effect duration time, H&Y stage, and UPDRS III score explained the occurrence of LID. The DAT density in the ipsilateral striatum, contralateral striatum, and caudate nucleus was lower in the patients with LID than in those without. Conclusion: Our findings suggest that presynaptic dopaminergic denervation is associated with LID in individuals with PD.