bluuebunny/crossref_metadata_2025 huggingface dataset:
Ecophysiology of Stevia rebaudiana: effect of salt stress, night interruption and addicional carbon dioxide on plant growth and steviol glucosides
Authors: Pompelli Marcelo F. , Jarma-Orozco Alfredo , Jaraba-Navas Juán de Diós , Rodríguéz-Páez Luis Alfonso , Pineda-Rodríguez Yirlis Yadeth
Published: February 2025

This study evaluates the impacts of salt stress, night interruption, and CO2 enrichment on the physiology, growth, and glycoside production of Stevia rebaudiana. The findings reveal significant genotype-specific responses, with G19 showing superior tolerance to salinity by maintaining photosynthetic efficiency and biomass, making it a prime candidate for cultivation in saline environ-ments. Night interruption treatments effectively delayed flowering and increased biomass and steviol glycoside concentrations, with 20-minute light exposure yielding the highest improvements. These results highlight the importance of photoperiod manipu-lation for optimizing yields but suggest further refinement is needed to avoid stress-related trade-offs from prolonged light ex-posure. CO2 environmental enrichment enhanced photosynthesis and water-use efficiency, although genotype-dependent differ-ences in Rubisco activity and electron transport were observed, emphasizing the need for tailored approaches. Integrating CO2 enrichment with other environmental controls could significantly enhance the plant’s adaptability to climate change while max-imizing glycoside productivity. The study combines genotype selection with environmental manipulation to optimize S. rebaudi-ana cultivation under diverse and challenging conditions. Future research should focus on the synergistic effects of multiple abiotic stresses over the long term, particularly their influence on glycoside biosynthesis, plant health, and sustainability. These insights will aid in designing comprehensive cultivation protocols that are both sustainable and capable of meeting the growing demand for natural sweeteners in the food and pharmaceutical industries.
Psychological service activity at the higher school of the system of Internal Affairs Ministry of Ukraine in terms of adaptation and overcoming posttraumatic syndrome by resettled cadets and students
Authors: VISHNEVSKY Sergiy , ZIMBOROVSKA Margaryta
Published: February 2025

The problem of the cadets and students’ adaptation, which were internally displaced to the higher school of the system of internal affairs ministry of Ukraine is analyzed in this article. Psychological service activity aimed at overcoming posttraumatic stress with such kind of trainees is described. The most favorable factors for getting over stress and further successful adaptation of the new living and studying conditions as well as the difficulties they are coming across are in focus of the research.
Training techniques as a way of overcoming of ptsd stagmatization in teachers consciousness
Authors: PORTNYTSKA Natalia , SAVYCHENKO Olga , MAISTRENKO Tetyana
Published: February 2025

In the context of a military conflict, it is necessary to provide psychological assistance to children whose parents are participants in the ATO and have signs of PTSD. A description of the social stereotypes about the images of soldiers and PTSD is presented in the article. Stigmatization of PTSD determines the need for additional psychoeducational work with the teachers. A description of the training for teachers working with children with PTSD features, as well as with children living with parents, overcoming the trauma, is presented. The training techniques are described in accordance with the main stages of overcoming the PTSD. Implementation of the training had such results: awareness on PTSDhave raised, representations of teachers about the psychological content of PTSD became deeper, the emotional background of perceiving this mental disorder have changed, a better emotional inclusion have been formed.
Živnostenská Banka (Trades Bank) and Its Participation in the Banking Consortia/Syndicates of Interwar Czechoslovakia
Authors: Kubů Eduard , Štolleová Barbora
Published: February 2025

One of the characteristic features of the development of the Czechoslovak economy in the interwar period was its progressive concentration and increasing organization, whether initiated from above (the persistence of a higher degree of state interventionism) or from below in the sense of voluntary cooperation and clustering across the business environment. In addition to the traditional associations for carrying out business, such as joint-stock companies, public companies, limited liability companies, and others, which were legal entities and were usually established for an unlimited period of time, new instruments of cooperation were becoming more and more common. These were networks of cartels, conventions, gentlemen’s agreements, and syndicates which restricted the free market. The study sheds light on characteristic forms of bank-to-bank cooperation, namely consortia/syndicates, using the example of the largest and most important Czechoslovak bank of the interwar period, Živnostenská Banka pro Čechy a Moravu v Praze (the Trades Bank for Bohemia and Moravia in Prague). It points out the relatively large number of consortia and offers a typology derived from their functions.
A Unique Path to Monopoly: The Case of the Hungarian Insurance Sector, 1945–1952
Authors: Horváth Gyula
Published: February 2025

This paper presents the nationalization and monopolization of the private insurance
industry in Hungary after World War II. In all the socialist countries save one private
insurance was prohibited. In the insurance sector, only one (or technically sometimes
two) state-owned insurance companies handled the insurance business with an
essentially monopolistic position after the process of nationalization had ended. This
uniformity, however, masks the fact that these countries took differing paths towards
this end. This was particularly true of the events in Hungary. This article suggests
possible explanations for these differences.
The drivers of export product diversification in China: does natural resource endowments matter?
Authors: Ul-Haq Jabbar , Visas Hubert , Krivins Anatolijs , Remeikienė Rita , Hye Qazi Muhammad Adnan
Published: February 2025

Export product diversification (EPD) mitigates a country’s vulnerability to global trade shocks, contributes to its high-quality economic progress, and increases its resilience. Natural resource endowment (NRE) is considered as one of the important determinants of EPD that is less explored by scholars. The contribution of NRE to EPD will remain a matter of debate in China. The paper aims to identify the drivers of the diversification of export products in China using the province level data from 2011 to 2019. It considers key determinants including foreign direct investment (FDI), human capital (HC), technological innovation (TI), and trade openness (TO). The results of the Fixed Effect-Driscoll-Kraay standard errors (FE-DKSE) indicate a positive and significant relationship between NRE and EPD. This suggests that a rise in NRE within a country promotes EPD. Furthermore, FDI, TO, TI, and HC have statistically significant positive links with EPD. Moreover, the findings of our research are consistent across all regions. The robustness analysis provides evidence that our findings are both significant and robust. The empirical findings indicate that the included variables are fundamental determinants of EPD, which provides policymakers with crucial policy implications. To encourage EPD, the government should implement policies that stimulate these determinants.
COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results
Authors: Tremblay C. D. , Sofair J. , Steffes L. , Myburgh T. , Czech D. , Demorest P. B. , Donnachie R. A. , Pollak A. W. , Ruzindana M. , A. P. V. Siemion , Varghese S. S. , Sheikh S. Z.
Published: February 2025

Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system. We have built a digital signal processing system and computer cluster on the backend of the Karl G. Jansky Very Large Array (VLA) in New Mexico in order to search for signals throughout the Galaxy consistent with our understanding of artificial radio emissions. In our first paper, we described the system design and software pipelines. In this paper, we describe a postprocessing pipeline to identify persistent sources of interference, filter out false positives, and search for signals not immediately identifiable as anthropogenic radio frequency interference during the VLA Sky Survey. As of 2024 September 1, the Commensal Open-source Multi-mode Interferometric Cluster had observed more than 950,000 unique pointings. This paper presents the strategy we employ when commensally observing during the VLA Sky Survey and a postprocessing strategy for the data collected during the survey. To test this postprocessing pipeline, we searched toward 511 stars from the Gaia catalog with coherent beams. This represents about 30 minutes of observation during the VLA Sky Survey, where we typically observe about 2000 sources hr–1 in the coherent beamforming mode. We did not detect any unidentifiable signals, setting isotropic power limits ranging from 1011 to 1016 W.
Magnetic Field Strengths in the Vicinity of Sgr A* via 18 cm Zeeman Observations
Authors: Thompson K. L. , Troland T. H. , Plante R. L.
Published: February 2025

Very Large Array (VLA) observations of 18 cm OH absorption lines were used to determine the strength of the line-of-sight magnetic field in the Galactic center region. This study is an extension of the VLA OH Zeeman observations of Killeen et al. with fourfold the on-source integration time and twice the sensitivity to the Zeeman effect. The new data fail to confirm the 7σ Zeeman detections of 2 mG fields reported in the earlier work. Also, we cannot reproduce these reported detections from our own analysis of archival data of the earlier work. We find no certain detections of the OH Zeeman effect in the Galactic center region. Our results suggest magnetic fields of no more than about a milligauss in the sampled regions.
Uncovering Deterministic Behavior of Black Hole IGR J17091–3624: A Twin of GRS 1915+105
Authors: Guria Anindya , Mukhopadhyay Banibrata
Published: February 2025

Understanding the nonlinear properties in accreting systems, particularly for black holes, from observation is illuminating as they are expected to be general relativistic magnetohydrodynamic flows that are nonlinear. Two commonly used features associated with nonlinear systems are chaos, which is deterministic, and randomness, which is stochastic. The differentiation between chaotic and stochastic systems is often considered to quantify the nonlinear properties of an astrophysical system. Particular emphasis is given to the fact that data are often noise contaminated and finite. We examine the dual nature of the black hole X-ray binary IGR J17091–3624, whose behavior has been closely studied in parallel to GRS 1915+105. Certain similarities in the temporal classes of these two objects have been explored in the literature. However, this has not been the case with their nonlinear dynamics: GRS 1915+105 shows signs of both determinism and stochasticity, while IGR J17091–3624 was found to be predominantly stochastic. Here, we confront the inherent challenge of noise contamination faced by previous studies, particularly Poisson noise, which adversely impacts the reliability of nonlinear results. We employ several denoising techniques to mitigate noise effects, and employ methods like principal component analysis, singular value decomposition, and correlation integrals to isolate the deterministic signatures. We find signs of determinism in IGR J17091–3624, thus supporting the hypothesis of it being similar to GRS 1915+105, even as a dynamical system. Our findings not only shed light on the complex nature of IGR J17091–3624 but also pave the way for future research employing noise-reduction techniques to analyze nonlinearity in observed dynamical systems.
Tidal Reconstruction of Neutron Star Mergers from Their Late Inspiral
Authors: Pal Souradeep , Nayak Rajesh Kumble
Published: February 2025

We investigate the measurement correlation between the effective spin and the effective tidal deformability in gravitational-wave signals from binary neutron star mergers. To efficiently measure the effective tidal deformability parameter, we exploit the fact that the tidal effects in a binary system are prominent when the components are closer, during the late inspiral. Thus, we indicate a computationally efficient strategy of extracting the tidal information compressed within the seconds before the merger. We report our observations for GW170817 and explore the suitability of our approach for the upcoming observation scenarios of the current and future ground-based observatories. Fast and accurate measurements of the tidal deformability parameters can be used to inform astronomers when prioritizing the electromagnetic follow-up efforts for such sources.
Simultaneous Evolutionary Fits for Jupiter and Saturn Incorporating Fuzzy Cores
Authors: Sur Ankan , Tejada Arevalo Roberto , Su Yubo , Burrows Adam
Published: February 2025

With the recent realization that there likely are stably stratified regions in the interiors of both Jupiter and Saturn, we construct new nonadiabatic, inhomogeneous evolutionary models with the same microphysics for each that result at the present time in respectable fits for all major bulk observables for both planets. These include the effective temperature, radius, atmospheric heavy-element and helium abundances (including helium rain), and the lower-order gravity moments J
2 and J
4. The models preserve from birth most of an extended “fuzzy” heavy-element core. Our predicted atmospheric helium mass fraction for Saturn is ∼0.2, close to some measured estimates but in disagreement with some published predictions. To preserve a fuzzy core from birth, the interiors of both planets must start out at lower entropies than would be used for traditional “hot start” adiabatic models, though the initial exterior mantle entropies can range from hot to warm start values. We do not see a helium ocean in Saturn’s interior, and both models have inner envelopes with significant Brunt–Väisälä frequencies; this region for Saturn at the current epoch is more extended, and in it, the Brunt is larger. The total heavy-element mass fraction in Jupiter and in Saturn is determined to be ∼14% and ∼26%, respectively, though there is some play in these determinations.
Chaetophiloscia sicula Verhoeff, 1908 (Isopoda, Oniscidea), an invasive isopod currently spreading in North America
Authors: Szlavecz Katalin , Jones Nathan T. , Noël Franck , Boeraeve Pepijn , De Smedt Pallieter
Published: February 2025

Chaetophiloscia sicula Verhoeff, 1908 (Philosciidae) is a small terrestrial isopod of Mediterranean origin which was first reported in North America in 2000 in an urban forest in Baltimore, Maryland, and it was thought to be a recent introduction, with a restricted range. Here we report the current state of knowledge of C. sicula distribution in North America. Since the original observation, the species has been reported by citizen scientists from eight additional states. Standardized field surveys in Maryland and Washington D.C. revealed a strong habitat preference towards anthropogenic and coastal areas. The affinity of C. sicula to urban environments, including residential areas and urban parks, is reinforced by citizen-science data and is most likely key to its fast spread throughout North America. Keeping isopods as pets and trading them among hobbyists may also play a role especially in establishing core populations in urban centers. The species is likely to expand in the USA in the coming decade. This study highlights that thorough, systematic surveys, using a variety of collecting techniques, are essential to address existing knowledge gaps on terrestrial isopod distribution and spread in North America and elsewhere.
The terrestrial isopod fauna (Isopoda, Oniscidea) of Abrau Peninsula, north-west Caucasus, Russia
Authors: Kuznetsova Daria M. , Gongalsky Konstantin B.
Published: February 2025

From 2001 to 2022, the woodlice fauna of Abrau Peninsula, north-west Caucasus, Russia was examined. The collections yielded 5,581 specimens, which belong to 25 species, 19 genera, and 15 families. The most diverse families are Cylisticidae, Platyarthridae, Trachelipodidae, and Trichoniscidae, each with three species. The most diverse genera are Platyarthrus and Trachelipus. Five species have been noticed to the Russian fauna for the first time: Tylos europaeus, Acaeroplastes melanurus, Platyarthrus caudatus, Buddelundiella cataractae, and Armadillidium cf. marmoratum. The fauna of the Abrau Peninsula is predominantly Mediterranean and with a high percentage of endemics (12%). Further records are expected with more detailed studies of especially the family Trichoniscidae.
Recerca al Departament d’Enginyeria Gràfica i de Disseny de la Universitat Politècnica de Catalunya. Barcelona Tech
Authors:   Universitat Politècnica de Catalunya, Farrerons Vidal Oscar , Olmedo Torre Noelia ,   Universitat Politècnica de Catalunya, Roncero Vivero Blanca ,   Universitat Politècnica de Catalunya, Villa Sicilia Arantza ,   Universitat Politècnica de Catalunya
Published: February 2025

Teniu a les mans un llibre que recull part de la recerca que porta a terme el Departament d’Enginyeria Gràfica i de Disseny (DEGD) de la Universitat Politècnica de Catalunya. És una recerca pluridisciplinar, que es relaciona amb altres departaments, altres universitats i amb institucions d’investigació alienes a l’acadèmia. Ja fa set anys que la direcció del departament creu adient donar a conèixer la recerca que portem a terme des dels nostres despatxos i laboratoris, i una eina adequada per a això és la publicació de les ponències presentades a la VII Jornada de Recerca DEGD.

En els capítols del llibre trobareu un breu resum de temes i àmbits de recerca. Molts d’ells han estat publicats en les principals revistes científiques nacionals i internacionals, però també en congressos, capítols de llibre, catàlegs, projectes competitius industrials, projectes no competitius, projectes d’innovació docent i altres projectes de propietat intel·lectual industrial. Podeu aprofundir en el tema que més us interessi a partir de les referències bibliogràfiques de cada article, o també posant-vos en contacte amb els/les investigadors/es principals. Ens trobareu impartint docència de grau i de màster a l’Escola Superior d’Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa, a l’Escola Tècnica Superior d'Enginyeria Industrial de Barcelona, a l’Escola d'Enginyeria de Barcelona Est, a l’Escola Politècnica Superior d'Enginyeria de Vilanova i la Geltrú, a l’Escola Politècnica Superior d'Enginyeria de Manresa i a l’Escola d'Enginyeria de Telecomunicació i Aeroespacial de Castelldefels.
Seasonal Work and Emigration in the Panonia Space: The Neighbourghood of Austria, Croatia, Hungary and Slovenia
Authors: Lukšič-Hacin Marina
Published: February 2025

The work introduces expanded treatises of the international conference of the same title, organised by the Institute for Slovenian Emigration Studies ZRC SAZU (Ljubljana), the dr. Šiftarjeva fundation (Petanjci), and by the Institute for Migration and Ethnic Studies (Zagreb). The conference took place in Radenci from October 22nd to October 25th 2002 under the auspices of the President of the Republic of Slovenia Mr. Milan Kučan. Authors from different countries: Argentina, Austria, Croatia, Italy, Japan, Hungary, Germany, and Slovenia took part in it.

The Ariadne’s thread takes us from the processes of the formation of a multicultural image of the Panonian space through historical perspective, through analyses of seasonal work and emigration by different groups and contexts, to the situation after World War II, and all to the present time. An analysis of migration dynamics by groups and contexts leads us from the population of the Prekmurje students in Hungary and in Slovakia, the Prekmurje Slovenes in Argentina, and Slovene (Prekmurje) nuns in France, to the migration situation in Porabje and in Gradiščansko. Next are analyses of particularities of migration dynamics by individual ethnic groups or communities: Jewish, Romany, German, and comparisons of circumstances in which Carinthian Slovenes and Hungarians live in Prekmurje. The time after World War II is presented within the context of international migrations from economic and sociologic viewpoints, and in comparison to interior migration dynamics by Slovene regions. The discussed region is at present facing intensive cross-border labour migration, and the problem of employment or unemployment.
The second part of the analysis of migration dynamics in Panonian space is literary-historical. The authors are thus dealing with seasonal work and emigration in literary works, with reviews of emigration writers and learned persons, and with portrayals of emigrant writers.
The presented treatises are followed by a framework in which emigrants themselves speak about them, or about the life of emigrants. Their life is in continuation presented in reports on researches of secondary school pupils, and in the presentation of the exhibition Honey and Salt – Memories Preserved by Pomurje Emigrants that accompanied the conference. The collection of papers is concluded by an exhaustive review of works on seasonal work and on emigration in Prekmurje.
Co-publishers: Ustanova dr. Štiftarjeva fundacija in Institut za migracije i narodnosti (Zagreb).
¿Biografías paralelas en geografías dispares? Los monumentos megalíticos de La Mina (Alcubilla de las Peñas, Soria) y El Pendón (Reinoso, Burgos) en su paisaje inmediato
Authors: Ordoño Javier , Tejedor Rodríguez Cristina , Díaz-Navarro Sonia , Fernández Crespo Teresa , Moreno García Marta , Rojo Guerra Manuel
Published: February 2025

En este trabajo se analiza el paisaje de dos monumentos megalíticos, La Mina y El Pendón, con el objeto de profundizar en las motivaciones y/o los condicionantes que llevaron a las comunidades prehistóricas a erigirlos en su ubicación concreta. Se pretende comprobar si las grandes similitudes atestiguadas en su biografía constructiva y de uso también se reflejan en lo paisajístico. Para ello, se ha empleado una metodología arqueogeográfica, que plantea el análisis multidimensional del paisaje con la ayuda de herramientas SIG de análisis espacial. El estudio ha permitido documentar semejanzas, como la buena accesibilidad de ambos monumentos a vías de paso natural y recursos hídricos, así como su posible asociación simbólica a elementos singulares de la naturaleza, que podrían haber influenciado en su disposición espacial. Por contra, destaca el poco peso de variables como el dominio visual o altitudinal. Los resultados sugieren que fuesen probablemente los factores sociales o simbólicos, ligados a las decisiones humanas, los más decisivos a la hora de emplazar ambos megalitos. También parecen apuntar a que, pese a su monumentalidad, éstos no fueron construidos para ser hitos en el paisaje, ni ejercieron un rol preponderante en su configuración.
Grammarians and Diglossia
Authors: Versteegh Kees
Published: February 2025

Collecting linguistic data in a diglossic speech community poses a special challenge for grammarians because of the socially sensitive variation between a High and a Low variety. In Ferguson’s (1959a) original definition only those cases counted as diglossia in which the varieties belonged to the same language. Later definitions expanded the scope to include communities where non-cognate languages serve as High and Low variety, which are much easier to keep apart for both speakers and grammarians. In this paper I explore how Latin and Arabic grammarians dealt with the linguistic variation in their speech community. They regarded all variation as part of one language; yet, in their description of the language they limited themselves to data from the High variety, which was the only one recognized by them as correct speech. Even when they referred to speech errors, they did not target the Low colloquial, but mistakes made in writing by semi-literate users of the High variety.
Pour une histoire de la grammaire et de l’écriture romanisée du bahnar
Authors: Phạm Thị Kiều Ly
Published: February 2025

Cet article vise à présenter les travaux de description linguistique réalisés par les Missions étrangères de Paris (MEP) sur les Hauts-Plateaux du Vietnam — des travaux inaugurés par le dictionnaire et la grammaire du bahnar du père Dourisboure. Le bahnar est la première langue parlée par une ethnie minoritaire du Vietnam qui ait été grammatisée. Nous examinons tout d’abord le contexte dans lequel les missionnaires ont réussi à s’implanter sur les Hauts-Plateaux ainsi que leur méthode d’apprentissage des langues autochtones. Nous étudions ensuite l’élaboration progressive du dictionnaire bahnar-français par Pierre Dourisboure, depuis l’achèvement d’une première version manuscrite jusqu’à sa publication, en 1889. Nous analysons également la grammaire associée au dictionnaire, afin de mettre en évidence le noyau théorique et les références de ce travail. Nous abordons enfin la création et le devenir de l’écriture romanisée du bahnar.
Between Linguistic Standardization and Nationalism: Descriptions and Grammars of the Turkish Language from the Late Ottoman to the Early Turkish Republican Era
Authors: Cristaldi Maria Pia Ester
Published: February 2025

Grammars published during the last decades of the Ottoman Empire adopted a comparative method that emphasized the similarities between the Ottoman Turkish, Arabic and Persian languages. This is demonstrated by examples such as the Kavaid-i Osmaniyye (“Ottoman-Turkish Grammar”, 1851) of Ahmet Cevdet and Mehmet Fuat, and the Kavâid-i Lisân-i Türkî (“Grammar of the Ottoman-Turkish Language”, 1892) of Tahir Kenan. These texts also demonstrate that grammars published in this period used Arabic terminology and concepts from Arabic linguistics to describe the structure of the Ottoman Turkish language (e.g., sarf for “morphology” and nahiv for “syntax”). Later, the transition between the Late Ottoman and the Early Turkish Republican Eras was marked by the emergence of new trends in Turkish language studies. These included the definition of a theoretical framework that described Turkish with the same concepts and terminology used for the description of languages spoken in Europe. This paradigm shift brought about significant changes in the structure of Turkish language grammars. Manuals published from 1930 onwards, such as the Türk Dilbilgisi Dersleri (“Lessons of Turkish Grammar”, 1936) – by Ahmet Cevat Emre – and the Ana Hatları ile Türk Grameri (“Turkish Language Through its Main Features”, 1940) of Tahsin Banguoğlu use terms and categories from European linguistics, such as “morphology”, “phonetics”, “etymology”, “semantics” (often indicating their French translation in parentheses). In some cases, the authors of these books explicitly state that their approach to grammatical studies aims to describe the features of the Turkish language independently of those of Arabic and Persian. This study examines these grammars in order to retrace the evolution of the structure of grammars of the Turkish language. Furthermore, it seeks to outline the role of European linguistics in the systematization of Turkish linguistics as independent from Arabic and Persian linguistics.
‘To the Further Improvement of Philology’: Vans Kennedy’s Historical Approach to Language Science in 19th Century India
Authors: Van den Bruel Luz
Published: February 2025

The Scottish Orientalist Vans Kennedy (1784–1846) was active in oriental linguistic scholarship during the beginning of the 19th century. Kennedy traveled to Bombay in 1800 as part of the East India Company army (Bird 1848). Due to his pre-existing interest in languages and his role as Persian interpreter, Kennedy was also accepted as a member of the Bombay Literary Society (later the BBRAS) in 1817. Simultaneous with his military career, Kennedy published texts on various oriental topics, his language studies concerning Persian, Hindustani, ‘Maratha’, and Sanskrit. However, Ludo Rocher (1989: 621), noted that Kennedy’s ‘writings have had little impact on the development of Indian studies’. Ignoring the newer trends in philology as practiced by his German contemporaries, Kennedy aimed to categorize the world’s languages based on their affinities (Van Hal 2012: 47). His attempt is based on W. Leibniz’s hypothesis that languages provide information on the origins and migrations of peoples (Van Hal 2014: 200). He furthermore fits into the larger context of the Scottish orientalists who, under the tutelage of Dugald Stewart, contributed to a philosophical history of mankind (Rendall 1982: 51). In the end, Kennedy’s goal was to illustrate that a comparison of languages would lead to the conclusion that Sanskrit was the mother of various European languages, and that this language had originally been spoken in Babylonia. Kennedy’s significance lies in the fact that he represents a branch of English orientalism which largely lost its scientific respectability (Trautmann 1997). I will therefore primarily focus on how Kennedy used language to trace the origin of peoples, and how he placed himself in the philological tradition he encountered in literature, and the scholarly reality in which he lived.
Essai d’une archéologie de la modernité linguistique en Corée à travers la première grammatisation par les Pères des Missions étrangères de Paris au xixe siècle : une approche épistémologico-historique
Authors: Kim Sung Do
Published: February 2025

Cet article porte sur la première « vague » de grammatisation en Extrême-Orient, à savoir les travaux de grammaire et de lexicographie réalisés par les Pères des Missions étrangères de Paris dans la deuxième moitié du xixe siècle, qui marquent, notamment, un moment décisif dans l’étude et l’outillage grammatical de la langue coréenne. S’il se fonde sur diverses sources, le présent travail se concentre tout particulièrement sur les œuvres composées sous la direction de Félix-Clair Ridel (Dictionnaire Coréen-Français, 1880 ; Grammaire coréenne, 1881) et étudie comment ces travaux ont contribué à l’émergence de la linguistique en Extrême-Orient d’une part, et au développement de l’imprimerie en caractères coréens et de la typographie moderne coréenne, d’autre part.
From here to Aistija: the Baltic State that never-was
Authors: Baxenfield James°Montgomery
Published: February 2025

L’idea di unire le nazioni lettone e lituana in un unico Stato è un episodio poco noto del XX secolo. Questa idea viene generalmente fatta risalire agli ultimi decenni del XIX secolo. Alla fine della Prima guerra mondiale, essa ottenne per breve tempo l’appoggio entusiasta di figure di spicco tra gli emigrati lituani, prima di svanire nell’oblio. Sebbene non abbia trovato un ampio sostegno, ha attirato l’interesse di numerosi individui e società non governative, riemergendo decenni dopo come ideale tra un piccolo contingente della comunità lettone in esilio. I passaggi tra generazioni e paesaggi politici hanno portato alla trasformazione e alla reinvenzione dello Stato immaginato, nascondendo in parte la longevità dell'idea.
A NOVEL PRIVACY PRESERVATION OF HEALTHCARE DATA WITH INFORMATION ENTROPY-BASED MULTI-SCHEME FULLY HOMOMORPHIC ENCRYPTION AND RIVEST SHAMIR ADLEMAN TECHNIQUES
Authors: Dhinakaran D. , Srinivasan L. , Selvaraj D. , Anish T. P.
Published: February 2025

Problem background: The biggest problem in the medical field is data security and privacy. Enhanced protection of data is required as a result of the implementation of increasing laws and regulations, the utilization of electronic patient records, the reorganization of providers, and the growing necessitate for data across patients, taxpayers, and physicians. Several standard methods of anonymization are more effective in sanitizing data, yet they are unsuccessful in restoring the data. Although a few privacy preservation algorithms have been established in recent days, the accuracy of maintaining both private and insensitive information seems to be relatively low. Objective: The aim is to develop a novel system for privacy preservation. Here, the encryption process is done using the Information Entropy-based Adaptive Encryption Technique (IEAET). The health data are gathered from appropriate online sources. The sensitive and insensitive attributes are distinguished with the help of Information Entropy. From these data, the sensitive attributes are analyzed by the information entropy optimally selected using the Enhanced Walrus Optimization Algorithm (EWaOA). Then the sensitive attributes are encrypted using the Multi-scheme Fully Homomorphic Encryption (Multi-scheme FHE) approach. Here, the key required for encryption is optimally generated using the proposed EWaOA, and this key is utilized for the encryption of sensitive data with high integrity. Finally, the insensitive attributes are enciphered using the Rivest–Shamir–Adleman (RSA) algorithm. Therefore, the health data are preserved with more security without any information loss. Result: The outcome of the proposed method provided the key variation of restoration efficiency is 98.5%. Discussion: The developed model provides better restoration efficiency by using an optimization algorithm to optimally select the attributes. It provides more effective outcomes and security, and is well performed in healthcare data preservation to enhance the privacy of data. The developed model is used for reducing the risk and saving the cost. Thus, it proved that the developed model significantly outperformed conventional methods and its reliability was also improved.
Principles and Practices for Implementing Ethical AI in Healthcare
Authors: Joshi Herat
Published: February 2025

The integration of artificial intelligence (AI) technology is causing a shift in the healthcare sector. Although artificial intelligence (AI) has enormous promise to improve patient care, diagnostics, and operational efficiency, its application must be handled carefully to avoid moral problems. This paper explores the important factors to take into account when implementing Responsible AI in healthcare environments, with a focus on accountability, justice, openness, and privacy. It looks at how AI may enhance clinical judgment, expedite medical procedures, and provide individualized care. Nonetheless, there are still a lot of obstacles to overcome, including data security, bias mitigation, and regulatory compliance. Healthcare businesses are able to take use of AI while maintaining safe and fair patient outcomes by implementing strong governance and ethical regulations. The research also looks at best practices, legal frameworks, and case studies from the real world that are influencing the direction of responsible AI in healthcare.
Investigating Generative Artificial Intelligence Readiness in the Internet of Medical Things
Authors: Shafik Wasswa
Published: February 2025

Generative Artificial Intelligence (AI) is reshaping the Internet of Medical Things (IoMT), driving innovations in healthcare diagnostics, personalized treatment, and patient monitoring. This integration promises to enhance medical decision-making, optimize resource allocation, and improve patient outcomes. However, despite technological advancements, challenges persist, including data privacy concerns, regulatory hurdles, and the need for robust ethical frameworks. The progress is evident in AI-driven tools, such as predictive analytics and virtual health assistants, yet their widespread adoption is hindered by interoperability issues and uneven technological infrastructure. As generative AI continues to evolve, addressing these barriers is crucial for realizing its full potential in transforming the IoMT landscape, ensuring that technological advancements translate into sustainable and equitable healthcare progress.
Transforming Healthcare With IoMT and Generative AI
Authors: V. Dankan Gowda , Kadam Kirti Rahul , Tetala Vidya Rajasekhara Reddy , Jose J. Jerin , Manu Y. M.
Published: February 2025

The synergistic use of the IoMT and generative AI presents healthcare with practically brand-new approaches to long-standing problems. In this chapter, the author demonstrates the ideas of how integrating the real-time data gathering solution of IoMT and generative AI impact can increase the effectiveness of personal treatment, the capacity of identifying diseases and avoiding them, and the organization of healthcare services. By analyzing key applications introduced by AI such as AI surgical robot, remote health monitoring, and virtual health assistants it is possible to evaluate the impact of such technologies on positive patients' outcomes, decreased rate of readmissions, and increased patients' engagement. In addition, the chapter explores the technical issues and the ethical issues arising from the application of IoMT and generative AI in healthcare such as data privacy issues, integration issues and the call for proper regulations for such technologies.
Unlocking the Healing Potential of Internet Psychotherapy
Authors: Khan Anwar , Madihie Amalia , Khan Rehman Ullah
Published: February 2025

In recent years, integration of Artificial Intelligence into healthcare has ignited profound interest. This delves into the convergence of Artificial Intelligence and psychotherapy, specifically focusing on the development of Eye Movement Desensitization and Reprocessing (EMDR) therapy system. The chapter aims to comprehensively explore system development methodologies, design components, and the software development process essential for an Artificial Intelligence -based online EMDR therapy system. This chapter intricately details the architectural design, functionalities, hardware and software requirements crucial to optimizing therapeutic usability, outcomes of the system. Natural Language Processing algorithms drive functionalities such as sentiment analysis, text summarization, tokenization, and descriptive analytics, enriching online therapeutic interactions all have made online EMDR therapy system more efficient. This chapter concludes with insights into future directions and implications for Artificial Intelligence-driven psychotherapies.
A Diabetes Mellitus Detection Using Fusion of IoMT, Generative AI, and eXplainable AI
Authors: Varun G. , Sarveswaran S. , Shreeshaa S. , Arun Krishna B. V. , Nidhisheshwin M. C. , Ashokkumar P.
Published: February 2025

Diabetes Mellitus (DM) is a metabolic disorder when the sugar level in the blood is elevated consistently. The presence of Diabetes Mellitus is one of the global health challenges, several research works focusing on the early detection and management of innovative machine learning technologies were developed in recent years. In this book chapter, we introduce a novel approach to classify diabetes mellitus by leveraging the Internet of Medical Things (IoMT) and generative AI models. IoT devices continuously monitor critical health data and transmit them to a central machine learning model for analysis and preprocessing is done. The preprocessed data act as the input for the machine learning models to predict diabetes. The imbalanced dataset is converted into a balanced one using two generative AI models called VAE and GAN. We used five ML classification models kNN, SVM, DT, LR and RF with boosting. Hard voting is performed to determine the final class. Our experiment result shows that the proposed ensemble model produces an accuracy of 81% which outperformed other model's accuracy
Prediction of Thyroid Disease Using Machine Learning Models
Authors: Krishnamoorthy N. , Vinoth Kumar V. , James Bryan Samuel
Published: February 2025

In recent decades, thyroid dysfunction has become a widespread illness that affects millions of individuals worldwide, mostly women between the ages of 17 to 54. TSH (Thyroid-Stimulating Hormone) that are too high or too low may be a sign of a thyroid problem. The extreme stage of thyroid results in heart problem, depression, etc. Here implements the proactive system to predict the thyroid at its earliest stage is done. This will reduce the death rate and other side effects due to thyroid problems. The techniques used in this work include logistic regression, KNN (k-nearest neighbors) and Decision trees, and these was selected for its different method. These algorithms are the best and most suitable to deal with the prediction of thyroid disease at the earliest stage with less complexity and more accuracy in the implementation. Based on the results obtained, the logistic regression is better and, hence used for the problem in the thyroid disease.
Healthcare Monitoring System Driven by Machine Learning and Internet of Medical Things (MLIoMT)
Authors: Kazi Kutubuddin Sayyad Liyakat
Published: February 2025

The primary objective of the project is to develop an ML-based healthcare system that can quickly and accurately diagnose a variety of diseases. Seven machine learning classification algorithms were used in this work to forecast nine deadly diseases, such as kidney disorders, hepatitis, diabetes, and blood pressure: adaptive boosting, Random Forest,DT, Support Vector Machines, Naïve Bayes, Artificial Neural Networks, and K-Nearest Neighbour. Performance metrics including Precision, Accuracy, and Recall are used to assess the suggested model's effectiveness. The performance of the classifiers is evaluated using four metrics: accuracy, precision, recall, and precision. For every ailment, the current healthcare model achieves a minimum accuracy of 82.3% and a maximum accuracy of 95.7%. There are minimal and maximum precision and recall values for each disease: 81.4% and 95.7%, respectively, and 64.3% and 90.3%, respectively. This ML driven IoMT approach we call as DL approach.
Enhancing Diagnosis, Treatment, and Patient Results Using Artificial Intelligence in Healthcare
Authors: Kavitha E. , Kavitha G. , SenthilKumar D. , Mythreyee M. , Swapna B. , Jagadeesan P. , Kamalahasan M. , Lavanya A.
Published: February 2025

Artificial intelligence (AI) is revolutionizing healthcare by improving diagnostic accuracy, treatment personalization, and operational efficiency. This chapter explores AI applications in medical imaging, predictive analytics, drug discovery, and patient care. We examine current AI-driven systems, such as deep learning models for early diagnosis and natural language processing for electronic health record (EHR) analysis. The chapter also discusses challenges in integrating AI into healthcare, including ethical considerations, data privacy, and regulatory frameworks. Potential improvements in medical outcomes and operational workflows are highlighted, supported by case studies and research findings.
Optimistic Machine Learning Algorithm to Identify Producer and Consumer Risks in the Medical Field Using Double Sampling Plan
Authors: Swapna B. , Manjula D. , Uma G. , Kavitha G. , SenthilKumar D. , Sujitha M. , Jeevitha K. , Lavanya A.
Published: February 2025

The specific form of statistical quality control, applied to the medical field to ensure product excellence and patient safety. Specifically, the proposed method employs a Machine Learning Algorithm (MLA) to assist in decision-making about accepting or rejecting inspected medical samples. The algorithm is trained using data from double sampling plan tables, enabling it to generate closed-form solutions for sample size while accounting for producer and consumer risks. This automation ensures precision in interpreting double sampling plan tables without compromising quality. provides flexibility for medical quality controllers, allowing for the consideration of specific requirements while minimizing time and cost during inspections. It addresses producer and consumer risks at predefined levels, while also incorporating other key quality parameters. With this system, medical professionals can estimate sample size at fixed producer and consumer risk levels, or predict these risks at a given sample size, ensuring comprehensive risk management and quality assurance in medical products.
Water Infrastructure Asset Management
Authors: Nunes Eusébio , Sousa Sérgio , Carvalho João Álvaro , Rodrigues Cristina S.
Published: February 2025

This chapter covers some key topics for asset management in general and for the administration of water supply and wastewater treatment infrastructure in particular. These infrastructures are public goods with high economic investment and are essential for the provision of basic services to the population and must therefore be managed in a sustainable manner to guarantee a high-quality service in harmony with environmental protection. Based on a real-world example of asset management in water infrastructure, a new Balanced Scorecard dashboard was created to address the issues highlighted in the company's performance metrics. The longitudinal analysis of the Balanced Scorecard enabled the team to identify many indicators as well as the inadequacy of existing indicators to define the company's current situation. This chapter covers in detail the approach utilized in developing this new Balanced Scorecard decision support dashboard.
Cross-Disciplinary Approaches in R&D Fusing Artificial Intelligence With Film Studies
Authors: Biswas Debasmita , Roy Binit
Published: February 2025

The work addresses the increasing potential to employ creative methods beyond synergistic limits in research and development during the age of boundless technology. The research offers a unique perspective on sensory integration by examining the intersections of artificial intelligence (AI) and film studies. This endeavour aims to develop a technical product that encapsulates and enhances human essence through the perspectives and creativity of filmmakers, achievable solely via artificial intelligence technologies. Furthermore, it seeks to investigate the impact of AI on filmmaking, narrative construction, perception, and analysis. We investigate connections with film studies (e.g., genres and technology) to reconceptualise research and development. This study examines the opportunities and constraints presented by AI in filmmaking and production.
Industry-Academia Partnerships
Authors: Senthil B. Arul , Prema R. K. , Sharif Loujain Saud
Published: February 2025

The Indian education system had played a major in contributing to the economic growth. The IIT's, IIM's, NIT's, central universities, state universities, and private institutions have played a significant role in national development. The regulatory bodies, such as the UGC, AICTE, etc., have introduced many schemes to connect industry and academia in India. This approach is not only limited to India; even foreign countries are encouraging collaboration. The focus of the chapter will be addressing the need, how to create a collaborative ecosystem that nurtures innovation, drives sustainability, and builds a future-ready workforce. The objective of the chapter is to stress and highlight the underlying perspectives of Industry Academia Partnership, Influence of NEP, addressing the present status of Industry-academia partnership in management education, Challenges, opportunities, and scope, present initiative, and policy in terms of industry – academia partnership. Academic collaborations will become a game changer to address the needs of sustainability.