bluuebunny/crossref_metadata_2025 huggingface dataset:
Potencial teórico, metodológico e analítico no pensamento de Mario Testa: um chamado para transcender fronteiras
Authors: Osorio Figueroa Cristian David
Published: February 2025

Mario Testa, médico argentino, fundamental para el estudio en el área de Políticas, Planificación y Gestión en Salud. Pieza estratégica en los estudios de salud colectiva, debido a su potencial teórico y metodológico, que les confiere mayor densidad teórica y analítica. Sin embargo, su conocimiento es poco difundido en América Latina, siendo necesario debido a la rarefacción teórica presente en el área de políticas y planificación. Este ensayo pretende realizar una breve descripción de cuatro elementos centrales en la obra de Mario Testa. Primero, la trayectoria de Testa que muestra la importancia de un trabajo crítico sin dogmatismo. Segundo, la propuesta del pensamiento estratégico que posee como categoría central el poder, coloca como importante el entendimiento de la historicidad de los sujetos y procesos sociales, la planificación en su carácter político y el postulado de coherencia. Tercero, se indican posibilidades del uso de la teoría del autor como herramienta teórico-analítica. Por último, se explora la posibilidad de encontrar en el autor, la posibilidad de transformación social por medio de una teoría de acción. El pensamiento de Testa está vigente, vivo y merece amplia divulgación para el fortalecimiento del área de Políticas, Planificación y Gestión en Salud en Latinoamérica.
El procés de normativització com a factor de canvi lexicosemàntic: el verb “assabentar”
Authors: Martines Peres Josep
Published: February 2025

Aquest estudi s’insereix dins una recerca que analitza la influència de la norma lingüística en l’evolució del català contemporani. La recerca abasta els diversos components de la llengua (la pronúncia i l’ortografia, la morfologia, la sintaxi, el lèxic i la fraseologia). Ací estudiem la influència de la norma en l’evolució del lèxic: parem atenció sobre "assabentar". Aquest verb va dins un grup important de paraules que, recuperades dels textos medievals, han assolit una freqüència d’ús important el català, particularment escrit i en registres orals de formalitat mitjana i alta. Mostrarem que "assabentar" havia caigut en desús a la darreria del segle XV, reapareix a començament del segle XX i ho fa amb accepcions i amb variants construccionals noves. El lector trobarà ací a) l’anàlisi de l’evolució de "assabentar" des de les primeres atestacions; b) la descripció de l’ús d’aquest mateix tipus lèxic en llengües veïnes (francès antic i encara ara en occità: "assavanter" i "assabentar", respectivament); i c) l’enlairament de "assabentar", l’arrelament del verb en els textos contemporanis, el desenvolupament de sentits nous i els canvis construccionals que ha experimentat, i, finalment, la reculada paral·lela de "enterar".
REPENSANDO EL PROBLEMA DE LA TRANSPOSICIÓN EN LOS AUDIOVISUALES HISTÓRICOS: UN ANÁLISIS DE CHE. GUERRILLA
Authors: CAMPANA SANTIAGO
Published: February 2025

Este artículo analiza la manera en la que se han pensado los procesos de transposición en el cine histórico. Al principio, presentaremos los aportes generales sobre la relación entre cine e historia. Luego, introduciremos el problema teórico de la transposición en el cine histórico, dialogando con aportes de diferentes disciplinas y aproximaciones. La segunda parte del trabajo se centrará en examinar el problema en cuestión a partir del estudio de un audiovisual en particular Che: guerrilla.
CINE DE CIENCIA FICCIÓN Y DIDÁCTICA DE LA HISTORIA: ENSEÑAR LA GUERRA FRÍA DESDE LA COMPRENSIÓN DE SUS MIEDOS
Authors: TIBURCIO MORENO ERIKA
Published: February 2025

En el presente artículo presentamos una propuesta educativa para trabajar la Guerra Fría con fuentes audiovisuales primarias en el nivel universitario. Para ello, hemos planteado la utilización de las dos versiones cinematográficas de La mosca (1958 y 1986, respectivamente) con el objetivo de trabajar la tecnofobia y el miedo desde una perspectiva histórica. El objetivo es ampliar la utilización de estos recursos a géneros cinematográficos que tradicionalmente han sido descartados por su baja calidad o por considerarse demasiado alejados al contexto que se pretende enseñar.
CINCUENTA AÑOS DE INVESTIGACIÓN SOBRE ANTIGÜEDAD, CINE Y TELEVISIÓN: HACIA UNA BIBLIOGRAFÍA EXHAUSTIVA DEL ÁMBITO ACADÉMICO ESPAÑOL (1973-2023)
Authors: AGUADO-CANTABRANA OSKAR
Published: February 2025

El presente artículo pretende ser una recopilación bibliográfica, lo más exhaustiva que nos ha sido posible, sobre la producción académica del ámbito español en torno a la recepción de la Antigüedad a través del cine y la televisión. En 2023 se han cumplido cincuenta años de la defensa de la tesis doctoral titulada Influencias del mundo clásico en la historia de la cinematografía, defendida en la Universidad de Barcelona en 1973 por Pedro Luis Cano Alonso, pionero y referente en este ámbito de investigación. Dada la «efeméride», parece un buen momento para publicar esta recopilación bibliográfica.
62ª EDICIÓN DEL FESTIVAL INTERNACIONAL DE CINE DE GIJÓN (FICX)
Authors: SÁNCHEZ GARCÍA SANDRA
Published: February 2025

Crónica del 62º Edición del Festival Internacional de cine de Gijón (FICX)
29º FESTIVAL DE CINE DE ZARAGOZA (FCZ29)
Authors: RODRÍGUEZ LADRÓN NURIA
Published: February 2025

Crónica del 29º Festival de cine de Zaragoza (FCZ29)
Afroamericanos en el oeste en Lawmen: Bass Reeves (TV, USA, 2023)
Authors: Barrenetxea Marañón Igor
Published: February 2025

Crítica de serie televisiva
A FRANCESC SÁNCHEZ BARBA, IN MEMORIAM
Authors: Vaccaro Sánchez Juan
Published: February 2025

Dedicado a la figura de Francesc Sánchez Barba
PODER Y MITO: LA FIGURA DE LA MUJER GUERRERA VIKINGA A TRAVÉS DE LAS FICCIONES AUDIOVISUALES
Authors: ROBLES DELGADO ALBERTO , GARCÍA LOSQUIÑO IRENE
Published: February 2025

La relación entre el séptimo arte y la cultura vikinga es larga y prolija, pues se extiende desde los inicios del propio medio audiovisual, hasta nuestro más inmediato presente. En esta trayectoria, la representación de las mujeres pertenecientes a la cultura vikinga ha ocupado un espacio normalmente secundario debido a las concepciones tradicionalmente machistas y patriarcales de las industrias de cine occidentales. A pesar de esta generalidad, uno de los arquetipos femeninos vikingos que más peso ha ido logrando es el de la mujer guerrera, que ha alcanzado una nueva y significativa relevancia en el audiovisual actual acrecentada por nuevos hallazgos arqueológicos. Estos feroces personajes de inspiración nórdica incluso han llegado a influenciar la representación audiovisual de otros personajes femeninos históricos de otras culturas que tomaron las armas en algún momento de la historia. En este trabajo, proponemos un análisis de este arquetipo de la mujer vikinga, de cuál ha sido su tratamiento en el ámbito audiovisual y de cómo este ha ido evolucionando hasta nuestros días, para vislumbrar como se ha ido y se sigue moldeando nuestra concepción sobre estas mujeres guerreras, usualmente consideradas figuras legendarias, pero muy vivas en nuestro imaginario gracias en gran medida al cine y la televisión.
The dark attractions of literature in Europe - marketing communication of dark literary tourist attractions connected to the two World Wars and the Cold War
Authors: Virág Tevely Titanilla
Published: February 2025

Dark literary tourism is a lesser-known subcategory of both dark tourism and literary tourism, incorporating elements from both in terms of attractiveness and tourist motivations. This study explores the impact of literary works and their film adaptations on the attractiveness of dark tourism destinations, particularly those related to the First and Second World Wars, and the Cold War, such as the Anne Frank House in Amsterdam. Utilizing a mixed-methods approach – combining analysis of the chosen sites’ websites and in-depth interviews with their visitors – the research examines how marketing strategies align with tourist motivations. Key findings show that curiosity and a desire for learning are primary motivations for visitors, with literature serving as a catalyst for a more emotional engagement. The relationship between consuming literary works, watching their film adaptations, and visiting related sites shows the storytelling’s role in shaping tourist behavior. This study provides insights for service providers and Destination Marketing Organizations on optimizing marketing strategies that incorporate literary elements. Recommendations are proposed to enhance historical remembrance through collaborations between book publishers, filmmakers, and tourist attractions, potentially including book tours to ensure the remembrance of the darkest side of history.
Fast blood flow index reconstruction of diffuse correlation spectroscopy using a back-propagation-free data-driven algorithm
Authors: Zang Zhenya , Pan Mingliang , Zhang Yuanzhe , Li David Day Uei
Published: February 2025

This study introduces a fast and accurate online training method for blood flow index (BFI) and relative BFI (rBFI) reconstruction in diffuse correlation spectroscopy (DCS). We implement rigorous mathematical models to simulate the auto-correlation functions (g 2) for semi-infinite homogeneous and three-layer human brain models. We implemented a fast online training algorithm known as random vector functional link (RVFL) to reconstruct BFI from noisy g 2. We extensively evaluated RVFL regarding both speed and accuracy for training and inference. Moreover, we compared RVFL with extreme learning machine (ELM) architecture, a conventional convolutional neural network (CNN), and three fitting algorithms. Results from semi-infinite and three-layer models indicate that RVFL achieves higher accuracy than the other algorithms, as evidenced by comprehensive metrics. While RVFL offers comparable accuracy to CNNs, it boosts training speeds that are 3900-fold faster and inference speeds that are 19.8-fold faster, enhancing its generalizability across different experimental settings. We also used g 2 from one- and three-layer Monte Carlo (MC)-based in-silico simulations, as well as from analytical models, to compare the accuracy and consistency of the results obtained from RVFL and ELM. Furthermore, we discuss how RVFL is more suitable for embedded hardware due to its lower computational complexity than ELM and CNN for training and inference.
Detection and correction of optical axis misalignment in an atmospheric optical communication link
Authors: Niu Mengchen , Jiang Dagang , Shi Zhuoling , Bu Yulin , Zeng Qinyong , Qin Kaiyu
Published: February 2025

Atmospheric optical communication (AOC) is a critical frontier for next generation communication. Nevertheless, the performance of AOC is not only impacted by atmospheric effects but also significantly by optical axis misalignment. Therefore, AOC terminals have to frequently return to the laboratory to calibrate optical axis misalignment. In order to reduce the frequency of laboratory calibration, this paper establishes and experimentally validates a novel method for detecting and correcting optical axis misalignment in the AOC link. The proposed method is based on four photodetectors symmetrically arranged around the receiver's optical axis. Based on the power fluctuations detection and average power statistics from four photodetectors, the horizontal and vertical optical axis misalignments from the transmitter can be detected. Then, the optical axis misalignments can be corrected by adjusting the beam propagation directions of the transmitter. The experimental results show that the optical axis misalignments can be corrected to 1.8 µrad at 2.4 km. The proposed method is very simple and efficient, which is beneficial for enhancing the operational period of AOC terminals under the environmental variations.
Supercritical-lens light-sheet fluorescence microscopy with sub-diffraction-limit axial resolution, enhanced FOV, and chip-scale illumination
Authors: He Pei , Li Wenli , Ji Haiyu , Chang Honglong , Yu Yiting
Published: February 2025

Light-sheet fluorescence microscopy (LSFM) is widely used in biological volumetric imaging. However, further breakthroughs in axial resolution or improvements in field of view (FOV) suffer from higher numerical aperture (NA) or bulky and complex illumination paths, which challenge the design of LSFM, as the detection and illumination paths have to be compactly arranged in a finite space for the orthogonal spatial configuration. Here, a supercritical lens (SCL) is designed for a sub-diffraction-limit quasi-non-diffracting light sheet, where sidelobes are suppressed to 7.6% without a window, and an SCL-based LSFM is proposed to address these challenges. In-vivo volumetric imaging of zebrafish is successfully performed by the SCL-based LSFM. Experimental results illustrate it not only achieves sub-diffraction-limit axial resolution, i.e., axial resolution higher thanthe theoretical limit determined by the illumination path’s NA, but also exhibits an enhanced FOV with almost no divergence. Importantly, these improvements can be easily achieved by a chip-scale illumination arm, an SCL composed of 100-nm-thick Cr microstructure, and 300-µm-thick glass substrate, enabling a simple and highly compact LSFM system. This work, for the first time, demonstrates the potential application of SCL in three-dimensional biological imaging and offers a promising approach for the design of highly integrated, high-performance, and chip-based LSFMs in the future.
Bimodality in E. coli gene expression: Sources and robustness to genome-wide stresses
Authors: Baptista Ines S. C. , Dash Suchintak , Arsh Amir M. , Kandavalli Vinodh , Scandolo Carlo Maria , Sanders Barry C. , Ribeiro Andre S.
Published: February 2025

Bacteria evolved genes whose single-cell distributions of expression levels are broad, or even bimodal. Evidence suggests that they might enhance phenotypic diversity for coping with fluctuating environments. We identified seven genes in E. coli with bimodal (low and high) single-cell expression levels under standard growth conditions and studied how their dynamics are modified by environmental and antibiotic stresses known to target gene expression. We found that all genes lose bimodality under some, but not under all, stresses. Also, bimodality can reemerge upon cells returning to standard conditions, which suggests that the genes can switch often between high and low expression rates. As such, these genes could become valuable components of future multi-stable synthetic circuits. Next, we proposed models of bimodal transcription dynamics with realistic parameter values, able to mimic the outcome of the perturbations studied. We explored several models’ tunability and boundaries of parameter values, beyond which it shifts to unimodal dynamics. From the model results, we predict that bimodality is robust, and yet tunable, not only by RNA and protein degradation rates, but also by the fraction of time that promoters remain unavailable for new transcription events. Finally, we show evidence that, although the empirical expression levels are influenced by many factors, the bimodality emerges during transcription initiation, at the promoter regions and, thus, may be evolvable and adaptable.
Spatial distribution of Plasmodium vivax Duffy Binding Protein copy number variation and Duffy genotype, and their association with parasitemia in Ethiopia
Authors: Nasir Yasin , Molla Eshetu , Habtamu Getnet , Sisay Solomon , Ejigu Legesse Alamerie , Kassa Fikregabrail Aberra , Demisse Mulugeta , Chali Wakweya , Abdo Melat , Alemayehu Dawit Hailu , Alemayehu Lina , Letebo Alemayehu , Emiru Tadele , Deressa Jimma Dinsa , Hamza Tajudin Abdurhaman , Tamirat Abel Beliyu , Misganaw Tadesse , Bogale Alayu , Abriham Zufan Yiheyis , Dugassa Sisay , Keffale Migbaru , Massebo Fekadu , Mamo Hassen , Gadisa Endalamaw , Drakeley Chris , Birhanu Alemayehu Godana , Koepfli Cristian , Tadesse Fitsum G
Published: February 2025

Background

Duffy Binding Protein (PvDBP) binding to the Duffy antigen receptor for chemokine (DARC) is essential for Plasmodium vivax invasion of human reticulocytes. PvDBP copy number variation (CNV) might increase parasite invasion and thus parasitemia. We examined the spatial distribution of PvDBP CNVs and DARC genotypes and their association with parasitemia in P. vivax endemic settings in Ethiopia.

Methodology/Principal findings

P. vivax isolates (n = 435) collected from five P. vivax endemic settings in Ethiopia were genotyped by amplifying the GATA1 transcription factor-binding site of the Duffy blood group and the CNV of PvDBP was quantified. Parasitemia was determined using 18S-based qPCR. The majority of participants were Duffy positive (96.8%, 421/435). Of the few Duffy negative individuals, most (n = 8) were detected from one site (Gondar). Multiple copies of PvDBP were detected in 83% (363/435) isolates with significant differences between sites (range 60%-94%). Both heterozygous (p = 0.005) and homozygous (p = 0.006) patients were more likely to have been infected by parasites with multiple PvDBP copies than Duffy negatives. Parasitemia was higher among the Duffy positives (median 17,218 parasites/µL; interquartile range [IQR] 2,895–104,489) than Duffy negatives (170; 78–24,132, p = 0.004) as well as in infections with 2 to 3 PvDBP copies (20,468; 3,649–110,632, p = 0.001) and more than 3 PvDBP copies (17,139; 2,831–95,946, p = 0.004) than single copy (5,673; 249–76,605).

Conclusions/Significance

A high proportion of P. vivax infection was observed in Duffy positives in this study, yet few Duffy negatives were found infected with P. vivax. The significant prevalence of multi-copy PvDBP observed among Ethiopian P. vivax isolates explains the high prevalence and parasitemia observed in clinical cases. This suggests that vivax malaria is a public health concern in the country where the Duffy positive population predominates. Investigating the relative contribution to the maintenance of the infectious reservoir of infections with different genotyping backgrounds (both host and parasite) might be required.
Prevalence of workplace bullying among medical students: A meta-analysis and systematic review protocol
Authors: Li Hancong , Mu Mingchun , He Yan , Wang Jinjin , Cai Zhaolun , Tang Haitao , Zhang Bo , Luo Han , Zeng Wen
Published: February 2025

Workplace bullying is a significant issue impacting various professions, including the healthcare sector. This study presents a meta-analysis aimed at assessing the global prevalence of workplace bullying among medical students and identifying potential influencing factors. Previous research suggests that medical students experience higher rates of bullying compared to senior doctors. However, no worldwide meta-analysis has been conducted on this topic. By utilizing a reliable measurement tool, this study will offer a comprehensive analysis of the prevalence of workplace bullying among medical students. The findings are intended to inform the development of strategies to address this issue and enhance the well-being and professional development of medical students worldwide.
Predicting software reuse using machine learning techniques—A case study on open-source Java software systems
Authors: Yeow Matthew Yit Hang , Chong Chun Yong , Lim Mei Kuan , Yee Yen Yuen
Published: February 2025

Software reuse is an essential practice to increase efficiency and reduce costs in software production. Software reuse practices range from reusing artifacts, libraries, components, packages, and APIs. Identifying suitable software for reuse requires pinpointing potential candidates. However, there are no objective methods in place to measure software reuse. This makes it challenging to identify highly reusable software. Software reuse research mainly addresses two hurdles: 1) identifying reusable candidates effectively and efficiently, and 2) selecting high-quality software components that improve maintainability and extensibility. This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. Software metrics were extracted from Maven artifacts and used to train classification and regression models to predict and estimate software reuse. The average F1-score of the ML classification models is 77.19%. The best-performing model, Ridge Regression, achieved an F1-score of 79.17%. Additionally, this research aims to assist developers by identifying key metrics that significantly impact software reuse. Our findings suggest that the file-level PUA (Public Undocumented API) metric is the most important factor influencing software reuse. We also present suitable value ranges for the top five important metrics that developers can follow to create highly reusable software. Furthermore, we developed a tool that utilizes the trained models to predict the reuse potential of existing GitHub projects and rank Maven artifacts by their domain.
Identifying iNOS and glycogen as biomarkers for degenerated cerebellar purkinje cells in autism spectrum disorder: Protective effects of erythropoietin and zinc sulfate
Authors: Al-Garni Abdulaziz M. , Hosny Sara A. , Almasabi Faris , Shati Ayed A. , Alzamil Norah M. , ShamsEldeen Asmaa M. , El-Shafei Asmaa A. , Al-Hashem Fahaid , Zafrah Hind , Maarouf Amro , Al-Ani Bahjat , Bin-Jaliah Ismaeel , Kamar Samaa S.
Published: February 2025

Autism spectrum disorder (ASD) is a collective neurodevelopmental disorder affecting young children and accounting for 1% of the world’s population. The cerebellum is the major part of the human brain affected by ASD and is associated with a substantial reduction in the number of Purkinje cells. An association between ASD and the expression of the nitrosative stress biomarker inducible nitric oxide synthase (iNOS), as well as glycogen deposition in damaged Purkinje cells, has not been previously reported in the medical literature. To explore this correlation, young rats were injected with propionic acid (PPA) (500 mg/kg) for 5 days (model group), while the protection groups were treated with either erythropoietin (EPO, 5,000 U/kg) or 2 mg/kg zinc sulfate immediately after the PPA injections. ASD-like features were developed in the model group, as evidenced by cerebellum damage (degeneration of Purkinje cells) and cerebellar dysfunction (behavioral impairment). This study documented the exclusive expression of iNOS in the degenerated Purkinje cells, along with glycogen deposition in these cells. Additionally, PPA significantly (p < 0.001) modulated cerebellar tissue levels of mammalian target of rapamycin (mTOR), gamma-aminobutyric acid (GABA), GABAA receptor, serotonin, the marker of neuronal loss (calbindin D28K), and social interaction deficit. Some of these parameters were differentially protected by EPO and zinc sulfate, with the former providing greater protection than zinc sulfate. Furthermore, a significant correlation between the iNOS score and these parameters associated with ASD was observed. These findings demonstrate the colocalization of iNOS and glycogen in the damaged Purkinje cells induced by ASD, along with the modulation of ASD parameters, which were protected by EPO and zinc sulfate treatments. Thus, these potential novel biomarkers may offer possible therapeutic targets for the treatment of ASD.
Does psychological support, training and guidance for probation practitioners lead to improved outcomes for service users and staff? A systematic review of Offender Personality Disorder (OPD) Pathway community delivery
Authors: O’Meara Aisling , Lewis Carine , Davies Jason
Published: February 2025

This review examines the evidence on outcomes for probation staff and the individuals under their supervision resulting from psychological training and support provided to staff. To be included, papers were required to evaluate impact on the outcomes of workforce development, wellbeing, risk and reconviction, or relationships. This review focussed on the frontline community delivery of a psychologically-informed programme designed for high risk of harm individuals presenting with complex needs; the Offender Personality Disorder (OPD) Pathway. Papers addressing impact of OPD interventions beyond core community delivery, or which addressed unrelated outcomes, were excluded from the review. The databases Scopus and EBSCO were searched on 19th October 2022 and titles were screened for inclusion by two reviewers. Quality of evidence was assessed by the Mixed Methods Appraisal Tool (MMAT). Due to the heterogenous nature of studies included, only narrative knowledge synthesis was possible and this was organised according to area of outcome explored and participant group. Twenty papers were included, comprising ten quantitative, two mixed, and eight qualitative methodologies (including three case studies). Workforce outcomes were the most frequently explored, with impacts noted in relation to self-reported confidence and competence. Impacts regarding risk and reconviction were limited both in relation to the number of studies addressing these outcomes and to the implications that could be drawn from these. Positive relational outcomes were reported as a result of OPD delivery, with consultation and formulation processes leading to better staff-offender relationships. The overall quality of evidence produced in the included studies was of a low to medium standard. Small sample sizes, high attrition rates, bespoke measures, and occasionally questionable analyses were some of the limitations noted. However, taking quality into account, findings were generally indicative of positive impacts of OPD community delivery, although regional differences in delivery model made generalisability of individual findings difficult.
Environmental impact assessment of Nagarpur bridge construction over the Dhaleshwari river at Tangail in Bangladesh
Authors: Sirajul Islam Md. , Shakir Ahammed Md. , Basher Farhana , Humayun  Kabir Md. , Hasan Tauhidul , Eusuf Sarker Md.
Published: February 2025

The study was conducted to investigate the potential environmental impacts of the proposed bridge during the pre-construction, construction and operation phase using the matrix method. The study also aims to formulate an environmental management plan (EMP) to minimize the probable impacts on the construction of the proposed bridge. A field mobilization was conducted in proposed project area to find out the environmental baseline (surface water, ground water, soil, sediments, air, noise and ecology) information and identification of possible impacts. The focused group discussions (FGDs), questionnaire survey (QS) and key informants interview (KII) were conducted to collect relevant information. Secondary data were also collected from different books, journals, Local Government Engineering Department (LGED), Upazila Agriculture Office (UAO), Upazila Fisheries Office (UFO) and Department of Environment (DoE). All the samples were analyzed in the laboratory of the Department of Environmental Science and Resource Management, Mawlana Bhashani Science and Technology University, Tangail-1902, Bangladesh. The study showed that the proposed bridge will be able to connect three Upazila (Nagarpur, Mirzapur and Dhamrai Upazila) directly and will be an easy communication way for local community, along with socio-economic and health facilities development. The EIA study also found major negative impacts of the study area that would be pollutions (air, surface water, ground water, sediments, noise and soil), accidents and soil erosion. The study also found that the dust and exhaust emission may have profound effect on flora, fauna, fish breeding, water flow, wastewater, solid waste from labor camp, construction waste, and noise during pre-construction, construction and operation phase. The EIA study found that possible negative impacts are considerable and the project can be implemented. The EIA study also suggested some defined EMPs that will minimize the probable adverse impacts of the bridge construction project over the Dhaleshwari River, Tangail, Bangladesh.Â Â
A review of distribution, threats and conservation of freshwater turtles of Ontario, Canada
Authors: Safi Amtyaz , Usman Ali Hashmi Muhammad , Peter Smith John
Published: February 2025

There are four families and eight species of freshwater turtles found in Canada, and the same families and species have also been recorded in Ontario province, all species are listed in CITES Appendices, in which six are declared as threatened species. Three families are hard shelled turtles viz Family Emydidae, Family Kinosternidae, and Family Chelydridae while Family Trionichidae is the only soft shelled turtle. Legally, all freshwater turtles in Ontario have been protected. Many efforts have been made by the Government, Non-governmental organizations and Academia for the protection and conservation of turtle population in Ontario. IUCN, WWF Canada, Ontario Wildlife Department, and Committee on the Status of Endangered Wildlife in Canada (COSEWIC), Canadian Wildlife federation, Wildlife preservation Canada, Ontario turtle conservation center (OTCC) and some other organizations are contributing in efforts for the conservation of freshwater turtles in Ontario. But still, freshwater turtles are facing serious threats due to climatic changes and some anthropogenic activities.Â Â
Book review of: Cugurullo, F.; Caprotti, F.; Cook, M.; Karvonen, A.; McGuirk, P.; Marvin, S. (Hrsg.) (2023): Artificial Intelligence and the City
Authors: Koch Florian
Published: February 2025

Buchrezension
Finančný systém a hospodárenie obce
Authors: Pauličková Alena
Published: February 2025

Forming of an income base of municipalities is a Jong-term process in development of organs of a territorial self-government. Extent and quality of individual tasks realized by them depends on income resources, which are available for municipalities according to the basic appropriate legal adaptations. Creation of the income base of municipalities in the Slovak Republic does not only relate to self-government organs, but also to the state. The author of this article mainly deals with financial-legal aspects of creation of the income base of municipalities. Because there has not been formed such a system of the income base of municipalities so far, which would exclude dependence of local budgets from state-budget resources, it is necessary to create economic-legal assumptions for economic independence to provide a compatibility of legal adaptations with legal regulations of other countries of the European Union. At the same time the author presents her opinion, that it is not possible to achieve the financial independence of municipalities with their absolute understanding.
Expression of α5β1 Integrin and Fibronectin during Early Pregnancy in Pigs
Authors: Rashev Pavel Istiliyanov , Georgieva R. , Rees D.
Published: February 2025

The implantation in pig is superficial and non-invasive, involving phases of apposition, adhesion and attachment of conceptuses to endometrial surface epithelium. The role of integrins and ECM proteins is suggested. In the study, the expression of α5β1 integrin and FN on conceptus trophectoderm and endometrium during implantation and early pregnancy was investigated. The immunohistochemical localization of α5β1 integrin and FN was performed on formalin-fixed, paraffin-embedded tissue sections using the ABC method. The results indicate that both conceptus and uterus expressed α5β1 integrin and FN during early porcine pregnancy. The most intensive staining for α5β1 integrin and FN was found in conceptus trophectoderm and endometrial surface epithelium in all investigated periods. During placentation the immunohistochemical staining for both α5β1 integrin and FN was increased in trophectoderm and all endometrial structures. Since placenta in pigs is non-invasive, it can be suggested that both α5β1 integrin and FN participate in molecular events leading to successful implantation and placentation in species with true epitheliochorial placenta.
Wyzwania zrównoważonego rozwoju terenów górskich na przykładzie wybranych problemów Tatr Polskich i Zakopanego
Authors: Kościelniak Cezary
Published: February 2025

The phenomenon of the Tatra Mountains is the intensity of the common connection of the unique mountain nature with the cultural heritage of the Podtatrze region. An important issue for the future of the Tatra region is the protection of heritage in a double, it means cultural and environmental dimensions. The text shows the context of sustainable development for this purpose, analyzing selected challenges, including progressive urbanization, “overtourism,” or the effectiveness of heritage protection activities. The article also discusses the possibilities of including the issue of sustainable development in mountain studies, including its philosophical background. In the next step, an analysis of the challenges of sustainable development of the Tatra region appears.
Spatiotemporal postseismic deformation due to the 2018 Palu-Donggala earthquake revealed the relative importance of viscoelastic relaxation and the afterslip distribution estimated from geodetic observations
Authors: Yusiyanti Irma , Khasanah Fina Alfi , Trihandaru Kautsar Rahtandi , Kalbuadi Prajardi Tattyana Wening , Pratama Cecep , Wibowo Sidik Tri
Published: February 2025

The Palu region has attracted attention due to significant seismic activity, including a destructive earthquake in 2018. This study aims to investigate postseismic deformation following the 2018 Palu-Donggala earthquake using the Interferometric Synthetic Aperture Radar (InSAR) technique. We utilized Global Navigation Satellite System (GNSS) data to obtain the viscoelastic mechanism decay time. Therefore, we subtracted the viscoelastic relaxation signal to obtain spatiotemporal afterslip distribution inferred from the 2.5D InSAR observation based on the Steepest Descent Method (SDM). Our results suggest the viscoelastic mechanism is indispensable, with an optimal decay time of about 2 years after the earthquake. Based on the chi-square statistical test, the spatiotemporal afterslip model can explain the observation with good qualification. We found anomalies indicating non-decreasing slip, which is likely due to several factors, such as the presence of Slow Slip Events (SSE). These findings provide valuable insights regarding the potential for future earthquakes and have significant implications for disaster risk assessment in the Palu region and its surroundings.
Artificial intelligence driven Mid-IR photoimaging device based on van der Waals heterojunctions of black phosphorus
Authors: Wang Ziqian , Wang Huide , Wang Chen , Bao Yushuo , Zheng Weiying , Weng Xiaoliang , Zhu Yihan , Liu Yi , Zhang Yule , Tian Xilin , Sun Shuo , Cao Rui , Shi Zhe , Chen Xing , Qiu Meng , Wang Hao , Liu Jun , Chen Shuqing , Zeng Yu-Jia , Liao Wugang , Huang Zhangcheng , Li Haiou , Gao Lingfeng , Li Jianqing , Fan Dianyuan , Zhang Han
Published: February 2025

Mid-infrared (Mid-IR) photodetection and imaging are pivotal across diverse applications, including remote sensing, communication, and spectral analysis. Among these, single-pixel imaging technology is distinguished by its exceptional sensitivity, high resolution attainable through the sampling system, and economic efficiency. The quality of single-pixel imaging primarily depends on the performance of the photodetector and the sampling system. Photodetectors based on black phosphorus (BP) exhibit low dark current, high specific detectivity (D
*), and room-temperature operability. Artificial intelligence (AI)-assisted sampling systems feature efficient and intelligent data reconstruction capabilities. In this work, we demonstrate an AI-driven black phosphorus (BP)/molybdenum disulfide (MoS2)/hexagonal boron nitride (hBN) heterojunction for Mid-IR photodetection and imaging. By optimizing the thickness of the heterojunction, the quality of the interface, and the AI algorithm, we achieved high-performance Mid-IR photodetection and imaging. Specifically, the photodetector has a responsivity of 0.25 A/W at a wavelength of 3,390 nm, an extremely high D
* of 3.7 × 109 Jones, a response speed as low as 7 ms, and after AI optimization, the image contrast ratio has been improved from 0.227 to 0.890. At the same time, the sampling rate requirement can be reduced to 25 %. Our research indicates that the efficient combination of BP heterojunction photodetectors and AI technology is expected to accelerate the development of Mid-IR photodetectors and imaging systems.
Die Zinnen von Schloss Torcrescenza
Authors: Schollmeyer Eberhard
Published: February 2025

150Der Europäische Gerichtshof leitet aus der Niederlassungsfreiheit die kollisionsrechtliche Zuordnung der Vertretung einer Gesellschaft zum Gesellschaftsstatut ab. Der Schutz der Minderheitsgesellschafter, Gläubiger oder Arbeitnehmer rechtfertige die zusätzliche Geltung des Rechts des Ortes der Geschäftstätigkeit nicht. Die Frage nach der Qualifikation des Vertretungsrechts stellt der EuGH dabei nicht. Damit ist die genaue Reichweite des entsprechend der Art. 49, 54 AEUV maßgeblichen Gesellschaftsstatuts für Wirtschaftsakteure weiterhin nicht sicher vorherzusehen.
Towards ecosystem research in the software engineering
Authors:   NTUU "KPI", Sydorov M.O.
Published: February 2025

The application of the concept of the ecosystem in the software engineering shows the existence of the same problems regarding the definition of the concept of the ecosystem and its use for research that still exists in ecology. Justification for applying the ecosystem concept in the area that differs significantly from the ecology, as in our case, requires researchers to look for analogies. This primarily applies to landscape, energy and matter transfer chains (trophic chains) and nutritional cycles. Until such analogies are found in software engineering, ecosystem research will be nothing more than system analysis, and the concept of the ecosystem is an attractive concept. The purpose of this article is to draw the attention of the software engineering community to ecosystem research. Three concepts of ecosystems in ecology, software and software engineering are considered. The composition and essence of ecosystem research in the software engineering are given. The literature review of the state of the ecosystem research for software ecosystems has been carried out.
Software framework for satellite spatial resolution enhancement
Authors:   State Institution "Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the NAS of Ukraine", Stankevich S.A. , Shklyar S.V. ,   State Institution "Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the NAS of Ukraine", Lysenko A.R. ,   State Institution "Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the NAS of Ukraine"
Published: February 2025

Remote sensing provides many crucial data today. Thankfully to the ease of access, global coverage and short revisit time intervals it became possible to retrieve global Earth’s land coverage data effortlessly. This data can provide useful information of the Earth’s land cover current state to make necessary assessments, forecasts, and other tasks that can be in handy for humanity, governments or even farmers. One of the main characteristics of image data quality is its spatial resolution. Thus, spatial resolution enhancement is a relevant topic nowadays. In this article a generalized software framework for satellite spatial resolution enhancement is presented. Due to sensitivity to the satellite data distortion, the applied method considers fusion of several low-resolution images into a single super-resolved one. The proposed framework takes into account satellite data specificity, that is given in a corresponding section. The framework was described to be capable to operate with radar and optical data. For the radar data a corresponding module, that ensures applicability of the super-resolution approach, is given. The framework was implemented using, mainly, C/C++ programming language and tested on a series of real satellite images. The result was evaluated using the modulation transfer function (MTF) approach and has shown an increasement in 135.91% for threefold scale optical images spatial resolution enhancement and 30.93% for the twofold scale radar spatial resolution enhancement. Despite the given representability of the test image set, the presented approach can be beneficial for the tasks that may have a need of the satellite data with higher spatial resolution. The paper concludes with overview of the authors implementation of the given framework and highlighting its drawbacks with suggestions for improvement.
Development of the medicine safety data monitoring system GERMES PV (literature monitoring and internet sources)
Authors:   Institute of Software Systems NAS of Ukraine, Chadiuk A.V. , Mashkovskyi S.S. ,   Institute of Information Systems Development
Published: February 2025

The global coronavirus pandemic of recent years has led to an emergency situation in the field of health care, determined the need to develop new vaccines for the treatment of the population under the guidance of the World Health Organization. Assessment of the safety and effectiveness of the use of these vaccines requires a wide range of research, one of the methods of which is literature monitoring of scientific publications. Significant labor costs for the search and analysis of articles make the creation and implementation of computer information and search systems for monitoring literature and Internet sources an urgent issue. Developed for this purpose, the medicine safety data monitoring system Germes PV is intended for the comprehensive application of modern technologies of automated monitoring of periodicals and Internet resources (web portals, websites, electronic libraries, etc.) in order to search for publications on the safety of drugs, availability adverse reactions and lack of effectiveness of medicinal products, feedback and suggestions of interested persons and other information in the field of pharmacovigilance. In this work, a comprehensive analysis of the subject area is carried out and ways of automating the activities of health care institutions and pharmaceutical companies in this area are described.
Method of managing the execution of tasks of a multithreaded program according to a given dependency graph
Authors:   NTUU "KPI", Nesterenko K.P. , Stetsenko I.V. ,   NTUU "KPI"
Published: February 2025

Performance is one of the main non-functional requirements for software. As a result of the increase in the number of cores in central processing units in recent decades, the use of multithreading technology has become a primary means of improving software performance. This study analyzes the problems that arise from developing multithreaded programs and ways to address them. A method for managing the execution of tasks in a multithreaded program based on a given dependency graph is proposed and its implementation in the C++ language is demonstrated. Its aim is to reduce the resource intensity of software development and increase its reliability by addressing problems typical of developing multithreaded programs. The results of experimental research on a test set of tasks are provided, demonstrating increased performance through the use of the proposed method.
Method of managing the execution of tasks of a multithreaded program according to a given dependency graph
Authors:   Institute of Software Systems NAS of Ukraine, Terentiev R.V. , Ivanenko P.А. ,   Institute of Software Systems NAS of Ukraine
Published: February 2025

This article examines the effectiveness of pre-training generative model based on a visual transformer and subsequent fine tuning for image classification tasks. The main problem of the study is the poor training efficiency of the visual transformer on a limited amount of data. It is possible to improve the accuracy of the image classification model by using transfer learning of the knowledge obtained during the previous training of the generative model on the same data. A subset of the standard Imagenet dataset - Tiny Imagenet was used to test the hypothesis. It contains 200 categories of around 500 images each. The size of each image is 64x64 pixels. For pre-training the generative model, patches are used to mask image segments. The training of restoring masked image pixels forces the model to pay attention to the context around the removed part, as well as to general visual patterns. This leads to a better understanding of visual information by the model as a whole and helps with further fine tuning of the model for the classification task. As a result of a series of experiments, it was possible to achieve an improvement in the accuracy of image classification from 40% to 44.7%, and an analysis of the effect of the overall degree of masking and patch size on it is given. Additionally, impact of different sizes of patches (2x2, 4x4, 8x8 pixels) and different percentages of masking (20/40/60 percent) of the input image were investigated in the paper.
Application of neural networks in OLAP-systems
Authors:   Azerbaijan Institute of Information Technologies, Nabibayeva G.Ch.
Published: February 2025

The article highlights the main characteristics of OLAP systems that perform online analytical data processing. These systems, based on OLAP technology, are widely used both in government agencies and in private ones. The main characteristics, features and structure of OLAP systems are mentioned. The article emphasizes that OLAP is a data warehousing tool. OLAP allows analysts to explore and navigate a multidimensional structure of indicators called a data cube or OLAP cube. Indicators (measures) of OLAP cubes play an important role in the decision-making process. To solve some problems, these measures often need to be classified or clustered. Moreover, empty measures are common in OLAP cubes. Empty measures can present due to nonexisting facts in data warehouse or due to empty cells which are unfilled in by mistake. The presence of empty measures negatively impacts strategic decision making. Unfortunately, OLAP itself is poorly adapted for forecasting empty measures of data cubes. Over the years, researchers and analysts have tried to improve the decision-making process in OLAP systems and add forecasting and other options to OLAP applications. Today, in the era of Industry 4.0, with the availability of big data, there is a need to apply new technologies to solve such problems. These technologies include neural networks. The article examines the problem of integrating OLAP and a neural network. In this regard, the article provides information about neural networks: information about their properties, types, as well as their capabilities. The article shows the possibility and advantages of integrating OLAP and neural network. It mentions that in the case of big data, the integration of OLAP and neural networks is very effective for solving problems of classification, clustering and prediction of empty measures of OLAP cubes. An architectural and technological model for integrating OLAP and neural networks is presented. It is noted what types of neural networks can be used to solve the problems of classification, clustering and forecasting specified in the model.