bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prolonged sitting is not associated with altered shear‐mediated dilation of the internal carotid artery, despite impairing lower limb endothelial function
Authors: Saito Shotaro , Dora Kento , Karaki Marino , Kunimatsu Narumi , Tsukamoto Hayato , Sugawara Jun , Iwamoto Erika , Ogoh Shigehiko 
Published: January 2025

AbstractThe present study aims to examine the effect of 4 h of continuous sitting on cerebral endothelial function, which is a crucial component of cerebral blood flow regulation. We hypothesized that 4 h of sitting may impair cerebral endothelial function similarly to how it affects lower limb vasculature. Thirteen young, healthy participants were instructed to remain seated for 4 h without moving their lower limbs. The blood flow and shear rate (SR) in the popliteal and internal carotid artery (ICA) were measured using duplex Doppler ultrasound. During the 4‐h sitting, peripheral (popliteal artery) and cerebral (ICA) endothelial function were assessed every hour. We induced peripheral and cerebral flow‐mediated dilation (pFMD and ICA FMD) using hyperemia (5 min of cuff inflation on lower limb, then deflation) or hypercapnia (30s of hypercapnia, end‐tidal partial pressure of CO2 + 9 mmHg), respectively. We then calculated each relative peak dilation from the baseline diameter to identify both pFMD and ICA FMD. We observed a significant decrease in pFMD starting at 2 h from the onset of sitting, and this reduction persisted throughout the 4‐h sitting [Base (6.8 ± 4.2%) vs. 2‐h (3.9 ± 2.0%), p = 0.044; vs. 3‐h (3.2 ± 1.8%), p = 0.016; vs. 4‐h (3.2 ± 1.9%), p = 0.005]. In contrast, during the 4‐h sitting, ICA blood flow, SR, and ICA FMD remained unchanged (p = 0.062, p = 0.068, and p = 0.203, respectively). Unlike peripheral endothelial function, cerebral endothelial function remained stable during 4‐h sitting. This suggests that the acute effect of prolonged sitting on cerebral vasculature differs from that of lower limb vasculature.
Quantification of training‐induced alterations in body composition via automated machine learning analysis of MRI images in the thigh region: A pilot study in young females
Authors: Ramedani Saied , Kelesoglu Ebru , Stutzig Norman , Von Tengg‐Kobligk Hendrik , Daneshvar Ghorbani Keivan , Siebert Tobias 
Published: January 2025

AbstractThe maintenance of an appropriate ratio of body fat to muscle mass is essential for the preservation of health and performance, as excessive body fat is associated with an increased risk of various diseases. Accurate body composition assessment requires precise segmentation of structures. In this study we developed a novel automatic machine learning approach for volumetric segmentation and quantitative assessment of MRI volumes and investigated the efficacy of using a machine learning algorithm to assess muscle, subcutaneous adipose tissue (SAT), and bone volume of the thigh before and after a strength training. Eighteen healthy, young, female volunteers were randomly allocated to two groups: intervention group (IG) and control group (CG). The IG group followed an 8‐week strength endurance training plan that was conducted two times per week. Before and after the training, the subjects of both groups underwent MRI scanning. The evaluation of the image data was performed by a machine learning system which is based on a 3D U‐Net‐based Convolutional Neural Network. The volumes of muscle, bone, and SAT were each examined using a 2 (GROUP [IG vs. CG]) × 2 (TIME [pre‐intervention vs. post‐intervention]) analysis of variance (ANOVA) with repeated measures for the factor TIME. The results of the ANOVA demonstrate significant TIME × GROUP interaction effects for the muscle volume (F1,16 = 12.80, p = 0.003, ηP2 = 0.44) with an increase of 2.93% in the IG group and no change in the CG (−0.62%, p = 0.893). There were no significant changes in bone or SAT volume between the groups. This study supports the use of artificial intelligence systems to analyze MRI images as a reliable tool for monitoring training responses on body composition.
Expression and function of Connexin 43 and Connexin 37 in the murine zona glomerulosa
Authors: Stölting Gabriel , Hellmig Nicole , Dinh Hoang An , Butz Frederike , Secener Ali Kerim , Volkert Marina , Scholl Ute I. 
Published: January 2025

AbstractThe zona glomerulosa (ZG) synthesizes the mineralocorticoid aldosterone. The primary role of aldosterone is the maintenance of volume and electrolyte homeostasis. Aldosterone synthesis is primarily regulated via tightly controlled oscillations in intracellular calcium levels in response to stimulation. It has previously been shown that calcium oscillations are synchronized through mechanical linkage between adjacent ZG cells. In many other cell types, similar synchronization is rather dependent on gap junctions (GJ). The recent discovery of mutations in CADM1 was linked to impaired GJ function in the ZG. Based on published transcriptomics data, we re‐examined the presence and functional impact of GJ in the ZG. We found evidence for the expression of murine connexin 43 and 37 using microarray data, in‐situ hybridization and immunohistology. Connexin 43 was also present in human samples. Calcium oscillations in ZG rosettes showed some degree of synchronization as reported previously. Unspecific GJ inhibition only had a small impact on this synchronicity. However, no signs of connections between cytosols could be observed as indicated by the lack of fluorescence recovery after photobleaching. We conclude that, while connexin proteins are expressed in the ZG, functional GJ in the physiological ZG are rare and of little consequence for calcium signaling.
Synergistic effect of artificial intelligence and new real-time disassembly sensors: Overcoming limitations and expanding application scope
Authors: Bozhou Li , Dajiang Ju , Xingwang Li , Yan Liu , Hongru He , Hao Wang 
Published: January 2025

Abstract
With the acceleration of industrialization and the increase in the complexity of equipment, it is particularly important to accurately predict and effectively maintain equipment failures. In response to the problem of difficulty in accurately achieving predictive maintenance and the severely limited application range of new real-time disassembly sensors, this article conducts research on the synergistic effect of the new real-time disassembly sensors and artificial intelligence technology. First, relevant parameter data of a certain enterprise’s generator can be collected on-site, and the Pearson correlation coefficient method can be used to calculate the correlation between the generator data parameters and the target fault type, ensuring the degree of correlation in extracting data features. Then, based on the gated recurrent unit (GRU) model, the article applied the particle swarm optimization (PSO) algorithm to optimize the parameters of the GRU network and used the support vector machine (SVM) model to optimize the classification function of the network output. Finally, the optimized GRU model can be applied to predict the fault types of generators, and based on this, it can be applied to the energy industry, agriculture, medical and health, and transportation industries to verify the application scalability of artificial intelligence and new real-time disassembly sensors. The experimental results show that the optimized GRU model combined with the new real-time disassembly sensor achieved an average accuracy of 0.94 in generator fault prediction, with a cost loss rate of only 3.03%, a decrease of 5.91% compared to the single new real-time disassembly sensor. The combination of artificial intelligence technology for precise predictive maintenance of generators greatly reduces maintenance costs and overcomes the limitations of individual real-time sensor disassembly. This has to some extent expanded the application scope and promoted the intelligent development of various industries.
Nanoscale heat generation in a single Si nanowire
Authors: Kim Jungkil , Lee Hoo-Cheol , Park Hong-Gyu 
Published: January 2025

Abstract
We develop a nanoheater utilizing a single Si nanowire with a porous segment that produces localized heat. The 19-fold higher resistivity of the porous segment compared to the solid segment in the nanowire facilitates the substantial confinement of heat to the porous segment by Joule heating. The heat profiles of the nanowire are examined using scanning thermal microscopy, a direct thermal imaging technique. The profiles recorded along the longitudinal and cross-sectional axes of the nanowire reveal that heat is concentrated in the sub-micrometer region of the porous segment, whereas it is uniformly distributed along the whole axis of the homogeneous solid Si nanowire. Moreover, the HfO2-passivated nanowire device exhibits a temperature increase above 10 °C within a 0.4 × 1 μm2 area, which is advantageous compared to the 3.3 °C increase observed in the hBN-passivated device. These point heaters demonstrate considerable potential for future applications in biomedical engineering and optoelectronics.
Time persistence of the fMRI resting-state functional brain networks
Authors: Guo Shu , Levy Orr , Dvir Hila , Kang Rui , Li Daqing , Havlin Shlomo , Axelrod Vadim 
Published: January 2025

Time persistence is a fundamental property of many complex physical and biological systems; thus understanding the phenomenon in the brain is of high importance. Time persistence has been explored at the level of stand-alone neural time-series, but since the brain functions as an interconnected network, it is essential to examine time persistence at the network level. Changes in resting-state networks have been previously investigated using both dynamic (i.e., examining connectivity states) and static functional connectivity (i.e., test-retest reliability), but no systematic investigation of the time persistence as a network was conducted, particularly across different time-scales (i.e., seconds, minutes, dozens of seconds, days) and different brain subnetworks. Additionally, individual differences in network time persistence have not been explored. Here, we devised a new framework to estimate network time persistence at both the link (i.e., connection) and node levels. In a comprehensive series analysis of three functional MRI (fMRI) resting-state datasets including both sexes, we established that: a) The resting-state functional brain network becomes gradually less similar to itself for the gaps up to 23 minutes within the run and even less similar for the gap between the days; b) Network time persistence varies across functional networks, while the sensory networks are more persistent than non-sensory networks; c) Participants show stable individual characteristic persistence, which has a genetic component; and d) Individual characteristic persistence could be linked to behavioral performance. Overall, our detailed characterization of network time persistence sheds light on the potential role of time persistence in brain functioning and cognition.Significance statementTime persistence − how long the system stays in a certain configuration − is a fundamental characteristic property of a variety of complex physical and biological systems. To date, the network time persistence of the brain is not sufficiently well understood. Here, we introduce and test a novel framework to quantify brain network time persistence. We found that the functional brain network becomes gradually less similar within the run (up to 23 minutes) and even less similar between days. The participants showed stable individual characteristic persistence, which has a genetic component. In addition, individual characteristic persistence could be linked to behavioral performance. Thus, brain network time persistence may play a key role in brain functioning and human cognition.
АНАЛИЗ СИНЕРГЕТИЧЕСКОГО НАЗЕМНОГО МКВ + ИК-МЕТОДА ОПРЕДЕЛЕНИЯ ВЕРТИКАЛЬНЫХ ПРОФИЛЕЙ СОДЕРЖАНИЯ ОЗОНА
Authors: БОРДОВСКАЯ Ю.И. , ТИМОФЕЕВ Ю.М. , ВИРОЛАЙНЕН Я.А. , ПОБЕРОВСКИЙ А.В. 
Published: January 2025

Озон является одним из важнейших малых газовых составляющих атмосферы Земли. В данной работе анализируется наземный синергетический МКВ + ИК-метод измерения содержания озона с использованием функционирующих в Петергофе (СПбГУ) приборов: МКВ-озонометра и ИК-Фурье-спектрометра Bruker IFS 125HR. Вычислены погрешности дистанционных измерений озона, которые меняются от 5 до 20% и более. Вертикальное разрешение МКВ + ИК-метода варьируется от ~ 10 до ~ 12 км. Представленные оценки показывают потенциальные возможности определения содержания озона в Петергофе с помощью наземных комбинированных МКВ- и ИК-измерений.
Ozone is one of the important trace gases of the Earth's atmosphere. This study anal yses ground-based synergetic MW + IR method for remote measurements of ozone using ground-based instruments at Peterhof (SPbSU) - MW ozonometer and Bruker IFS-125HR Fourier transform infrared spectrometer. Numerical estimates of the errors and vertical resolution of remote measurements showed that uncertainties of remote ozone measurements at different altitudes vary from 5 to 20% or more. The vertical resolution of the MW + IR method varies from ~ 10 to ~ 12 km. These estimates demonstrate the potential for determining ozone in Peterhof using ground-based combined MW and IR measurements.
СРАВНИТЕЛЬНАЯ ХАРАКТЕРИСТИКА ВЕРТИКАЛЬНОГО РАСПРЕДЕЛЕНИЯ ИНТЕНСИВНОСТИ БИОЛЮМИНЕСЦЕНЦИИ В СЕВЕРО-ЗАПАДНОЙ И СЕВЕРО-ВОСТОЧНОЙ ЧАСТЯХ ЧЕРНОГО МОРЯ
Authors: ПОЛОНСКИЙ А.Б. , МЕЛЬНИКОВА Е.Б. , СЕРЕБРЕННИКОВ А.Н. 
Published: January 2025

Представлены результаты анализа пространственно-временного распределения интенсивности свечения гидробионтов в Черном море на основе данных экспедиционных исследований, проведенных в июне 2013 г. и сентябре 2014 г. в рейсах НИС «Профессор Водяницкий». Сравнивается вертикальное распределение интенсивности биолюминесценции в северо-западной и северо-восточной частях Черного моря. Для объяснения причин пространственно-временных вариаций интенсивности свечения гидробионтов привлекаются спутниковые данные о приводном ветре и геострофических течениях. Показано, что в вертикальном распределении интенсивности биолюминесценции на большинстве станций наблюдался один максимум, который находился в верхней части сезонного термоклина. На глубоководных станциях в северо-западной части моря, приуроченных к зоне слабых вертикальных движений, наблюдались два максимума. Верхний максимум обусловлен развитием теплолюбивых, а нижний - холодолюбивых комплексов гидробионтов. Максимальные величины интегральной интенсивности свечения гидробионтов наблюдались в зоне дивергенции течений в глубоководной части северо-восточной акватории моря, что объясняется более активным обогащением вод биогенными веществами за счет более интенсивных восходящих движений. Полученные результаты могут быть использованы для уточнения оценки биопродуктивности деятельного слоя вод Черного моря на основе спутниковых данных.
The spatiotemporal distribution of the intensity of bioluminescence formed by hydrobionts in the Black Sea based on the data of expeditionary research conducted in June 2013 and September 2014 during the voyages of NIS “Professor Vodyanitskiy" (IBSS) was investigated. Comparison of this characteristic in the N-W and N-E parts of the Black Sea has been done. Satellite data on near-surface wind and geostrophic currents are used to explain the causes of spatiotemporal variations in the intensity of hydrobiont bioluminescence. It has been shown that in the vertical distribution of bioluminescence intensity, most stations had one maximum at the top part of the seasonal thermocline. At deep-sea stations in the north-western part of the sea located in the zone of weak vertical movements, two maxima were observed due to the development of heat-loving hydrobiont species in the upper maximum and cold-loving species in the lower one. The maximum values of the integral intensity of hydrobiont glow were observed in the divergence zone in the deep-water north-eastern part of the sea, which is explained by more active enrichment of waters with biogenic substances due to more intense upward movements. Obtained results can be utilized for more accurate assessment of the upper layer water bioproductivity in the Black Sea from satellite data.
Comprehensive analysis and quantitative assessment of land use/land cover dynamics in Wakiso and Kampala, Uganda: a multi-decadal remote sensing study.
Authors: Kamukama Ebaju Gerverse , Okrah Abraham , Genesis Magara , Mensah Caleb , Donnata Alupot , Prempeh Nana Agyemang , Yeboah Emmanuel , Sarfo Isaac 
Published: January 2025

Aim of the studyThis study analyses LULC changes in Wakiso and Kampala districts from 1995 to 2024. Objectives include mapping LULC types, assessing changes, evaluating transitions among categories (agriculture, water, built-up areas, forests), and examining trends and drivers. It provides insights into the impacts of urbanization and agricultural expansion, offering practical implications for sustainable land management.Material and methodsLandsat images from 1995, 2010, and 2024 were used, sourced from NASA's Earth Explorer. January images minimized seasonal variation, and data were reprojected to UTM Zone 36N with WGS84. Pre-processing included corrections and haze reduction in ArcMap 10.4. Supervised classification used a False Colour Composite of blue, green, and red bands, with 2,500–3,000 pixels per LULC category sampled. Accuracy was assessed with Kappa statistics and overall accuracy, and NDVI and NDBI were calculated for vegetation and urban growth analysis.Results and conclusionsThe analysis showed significant land use changes: built-up areas increased by 163%, reducing vegetation cover by 30.7%. Agricultural land grew by 112.4%, while forest cover rose by 29.2%. NDVI trends revealed a vegetation density increase until 2010, then a slight decline by 2024 due to urban sprawl. NDBI showed substantial urban growth, stabilizing between 2010 and 2024. The study highlights the impact of urbanization and agricultural expansion in Wakiso and Kampala, emphasizing the need for sustainable land management to balance development and conservation.
Intellectual development disorder syndrome with congenital anomalies of type 99, faceted female (OMIM: 300968), updated mutation in the USP9X gene
Authors: Latypov A. Sh. , Proskurin E. V. , Sidorova O. P. , Vasilenko I. A. , Kassina D. V. , Bunak M. S. 
Published: January 2025

The syndrome of mental retardation with congenital anomalies of type 99, limited to the female sex (OMIM: 300968) is an X-linked dominant disorder of the development of the central nervous system, characterized by delayed psychomotor development and mild or moderate mental retardation.In the article, a clinical case of a 2-year-old 8-month-old patient with mental retardation syndrome and type 99 congenital anomalies characteristic only of the female sex (OMIM: 300968) is presented. Due to the heterozygous carriage of a previously undescribed pathogenic variant with a reading frame shift in the X-linked USP9X gene associated with a type 99 developmental disorder with dominant inheritance, in chrX:41196714AATTG>A, ENST00000378308, C.4214_4217delATT.P.Asp1405fs. The pathogenic variant was confirmed in the child in the study of the trio by Sanger. It is absent from the parents (a new pathogenic variant). Along with cognitive impairments, the patient revealed congenital anomalies, some of which coincided with those previously described. There were also some special features: the asymmetry of the skull in the described patient was expressed in the parietal part of the skull, and not the facial one, as described in previous publications. Secondary mitochondrial disorders were revealed during the study of the activity of mitochondrial enzymes in peripheral blood lymphocytes, which are an “enzymatic mirror” of tissues, which is an indication for the appointment of energotropic drugs (succinic acid and carnitine).
El español es la lengua del sol y la felicidad
Authors: Terrazas Gallego Melania 
Published: January 2025

Naoise Dolan es una joven escritora dublinesa que cursó sus estudios de Filología Inglesa en Trinity College Dublin. Posteriormente realizó su Trabajo Fin de Máster sobre la obra victoriana de Charles Dickens y William M. Thackeray en la Universidad de Oxford. Dolan escribe ficción y ensayos críticos para publicaciones, tales como la London Review of Books o periódicos internacionales como The Irish Times y The Guardian. Hasta la fecha, Dolan ha publicado Días Apasionantes (2020) y La Pareja Feliz (2023) con la editorial británica Weidenfeld & Nicolson y acaba de entregar su tercera novela, que verá la luz aproximadamente a principios de 2026. En la entrevista Dolan habló de su faceta como escritora, del proceso creativo o de las relaciones interpersonales de sus personajes, tratando temas tan diversos como el lenguaje, las relaciones de poder y queer, la salud mental, las nuevas tecnologías, las redes sociales o el poshumanismo. Todo ello lo hizo de una manera distendida y honesta, ofreciendo un amplio número de respuestas esclarecedoras acerca de su obra, en particular, y de su visión del mundo, en general.
Conceptual Model of Language Ecosystem in the Electronic Government: the case of Azerbaijan
Authors: Alguliyev Rasim 
Published: January 2025

This article studies conceptual bases of Azerbaijani language ecosystem formation in the e-government.

The digital age, characterized by the development of technology and benefits of the Internet, threatens the preservation of linguistic diversity. Technological revolutions, disasters, pandemics, wars and rapid changes in the demographic situation in the world lead to the destruction of language ecosystems and the disappearance of language diversity. In this regard, protection of language diversity has become one of the urgent issues in the rapidly globalizing world under the influence of information technologies. Therefore, protection of the Azerbaijani language and development of various language services on the e-government platform is one of the relevant issues. Intellectual methods, algorithms and applications must be developed in order to make national languages an integral part of e-government and to ensure the natural development of this platform on all segments. The article examines approaches, views and initiatives related to the impact of globalization on the linguistic-cultural space and language processes. Effects on languages of peoples of the world in the digital age and innovations caused by digitization were analyzed, an overview of related works was conducted, and problems of the Azerbaijani language in online environment were indicated. Issues of the preservation of language diversity and application of linguistic technologies in e-government have been studied. The study shows the necessity of creating different language services for the formation of the Azerbaijani language ecosystem. The article proposes approaches regarding the formation of Azerbaijani language ecosystem on e-government platform and indicates complex issues to be solved by application of linguistic technologies.