bluuebunny/crossref_metadata_2025 huggingface dataset:
Quantitative Proteomics Reveal Region-Specific Alterations in Neuroserpin-Deficient Mouse Brain and Retina: Insights into Serpini1 Function
Authors: Mirshahvaladi Shahab , Chitranshi Nitin , Amirkhani Ardeshir , Rajput Rashi , Basavarajappa Devaraj , Vander Wall Roshana , Pascovici Dana , Godinez Angela , Galliciotti Giovanna , Paulo Joao A. , Gupta Veer , Graham Stuart L. , Gupta Vivek , Mirzaei Mehdi
Published: March 2024

Neural regeneration and neuroprotection represent strategies for future management of neurodegenerative disorders such as Alzheimer’s disease (AD) or glaucoma. However, the complex molecular mechanisms that are involved in neuroprotection are not clearly understood. A promising candidate that maintains neuroprotective signaling networks is neuroserpin (Serpini1), a serine protease inhibitor expressed in neurons which selectively inhibits extracellular tissue-type plasminogen activator (tPA)/plasmin and plays a neuroprotective role during ischemic brain injury. Abnormal function of this protein has been implicated in several conditions including stroke, glaucoma, AD, and familial encephalopathy with neuroserpin inclusion bodies (FENIB). Here, we explore the potential biochemical roles of Serpini1 by comparing proteome changes between neuroserpin-deficient (NS−/−) and control mice, in the retina (RE), optic nerve (ON), frontal cortex (FC), visual cortex (VC), and cerebellum (CB). To achieve this, a multiple-plex quantitative proteomics approach using isobaric tandem mass tag (TMT) technology was employed followed by functional enrichment and protein–protein interaction analysis. We detected around 5000 proteins in each tissue and a pool of 6432 quantified proteins across all regions, resulting in a pool of 1235 differentially expressed proteins (DEPs). Principal component analysis and hierarchical clustering highlighted similarities and differences in the retina compared to various brain regions, as well as differentiating NS−/− proteome signatures from control samples. The visual cortex revealed the highest number of DEPs, followed by cerebellar regions. Pathway analysis unveiled region-specific changes, including visual perception, focal adhesion, apoptosis, glutamate receptor activation, and supramolecular fiber organization in RE, ON, FC, VC, and CB, respectively. These novel findings provide comprehensive insights into the region-specific networking of Serpini1 in the central nervous system, further characterizing its potential role as a neuroprotective agent. Data are available via ProteomeXchange with identifier PXD046873.
A Quantitative Comparison of Mortality Models with Jumps: Pre- and Post-COVID Insights on Insurance Pricing
Authors: Şahin Şule , Özen Selin
Published: March 2024

Population events such as natural disasters, pandemics, extreme weather, and wars might cause jumps that have an immediate impact on mortality rates. The recent COVID-19 pandemic has demonstrated that these events should not be treated as nonrepetitive exogenous interventions. Therefore, mortality models incorporating jump effects are particularly important to capture the adverse mortality shocks. The mortality models with jumps, which we consider in this study, differ in terms of the duration of the jumps–transitory or permanent–the frequency of the jumps, and the size of the jumps. To illustrate the effect of the jumps, we also consider benchmark mortality models without jump effects, such as the Lee-Carter model, Renshaw and Haberman model and Cairns-Blake-Dowd model. We discuss the performance of all the models by analysing their ability to capture the mortality deterioration caused by COVID-19. We use data from different countries to simulate the mortality rates for the pandemic and post-pandemic years and examine their accuracy in forecasting the mortality jumps due to the pandemic. Moreover, we also examine the jump-free and jump models in terms of their impact on insurance pricing, specifically term annuity and life insurance present values calibrated for both pre- and post-COVID data.
Intelligent Robotics in Pediatric Cooperative Neurorehabilitation: A Review
Authors: Ezra Tsur Elishai , Elkana Odelia
Published: March 2024

The landscape of neurorehabilitation is undergoing a profound transformation with the integration of artificial intelligence (AI)-driven robotics. This review addresses the pressing need for advancements in pediatric neurorehabilitation and underscores the pivotal role of AI-driven robotics in addressing existing gaps. By leveraging AI technologies, robotic systems can transcend the limitations of preprogrammed guidelines and adapt to individual patient needs, thereby fostering patient-centric care. This review explores recent strides in social and diagnostic robotics, physical therapy, assistive robotics, smart interfaces, and cognitive training within the context of pediatric neurorehabilitation. Furthermore, it examines the impact of emerging AI techniques, including artificial emotional intelligence, interactive reinforcement learning, and natural language processing, on enhancing cooperative neurorehabilitation outcomes. Importantly, the review underscores the imperative of responsible AI deployment and emphasizes the significance of unbiased, explainable, and interpretable models in fostering adaptability and effectiveness in pediatric neurorehabilitation settings. In conclusion, this review provides a comprehensive overview of the evolving landscape of AI-driven robotics in pediatric neurorehabilitation and offers valuable insights for clinicians, researchers, and policymakers.
An Up-View Visual-Based Indoor Positioning Method via Deep Learning
Authors: Chen Chen , Chen Yuwei , Zhu Jianliang , Jiang Changhui , Jia Jianxin , Bo Yuming , Liu Xuanzhi , Dai Haojie , Puttonen Eetu , Hyyppä Juha
Published: March 2024

Indoor positioning plays a crucial role in various domains. It is employed in various applications, such as navigation, asset tracking, and location-based services (LBS), in Global Navigation Satellite System (GNSS) denied or degraded areas. The visual-based positioning technique is a promising solution for high-accuracy indoor positioning. However, most visual positioning research uses the side-view perspective, which is susceptible to interferences and may cause concerns about privacy and public security. Therefore, this paper innovatively proposes an up-view visual-based indoor positioning algorithm. It uses the up-view images to realize indoor positioning. Firstly, we utilize a well-trained YOLO V7 model to realize landmark detection and gross extraction. Then, we use edge detection operators to realize the precision landmark extraction, obtaining the landmark pixel size. The target position is calculated based on the landmark detection and extraction results and the pre-labeled landmark sequence via the Similar Triangle Principle. Additionally, we also propose an inertial navigation system (INS)-based landmark matching method to match the landmark within an up-view image with a landmark in the pre-labeled landmark sequence. This is necessary for kinematic indoor positioning. Finally, we conduct static and kinematic experiments to verify the feasibility and performance of the up-view-based indoor positioning method. The results demonstrate that the up-view visual-based positioning is prospective and worthy of research.
Correction: Amantai et al. Spatial–Temporal Patterns of Interannual Variability in Planted Forests: NPP Time-Series Analysis on the Loess Plateau. Remote Sens. 2023, 15, 3380
Authors: Amantai Nigenare , Meng Yuanyuan , Song Shanshan , Li Zihui , Hou Bowen , Tang Zhiyao
Published: March 2024

There was an error in the original publication [...]
Natural Gas Induced Vegetation Stress Identification and Discrimination from Hyperspectral Imaging for Pipeline Leakage Detection
Authors: Ma Pengfei , Zhuo Ying , Chen Genda , Burken Joel G.
Published: March 2024

Remote sensing detection of natural gas leaks remains challenging when using ground vegetation stress to detect underground pipeline leaks. Other natural stressors may co-present and complicate gas leak detection. This study explores the feasibility of identifying and distinguishing gas-induced stress from other natural stresses by analyzing the hyperspectral reflectance of vegetation. The effectiveness of this discrimination is assessed across three distinct spectral ranges (VNIR, SWIR, and Full spectra). Greenhouse experiments subjected three plant species to controlled environmental stressors, including gas leakage, salinity impact, heavy-metal contamination, and drought exposure. Spectral curves obtained from the experiments underwent preprocessing techniques such as standard normal variate, first-order derivative, and second-order derivative. Principal component analysis was then employed to reduce dimensionality in the spectral feature space, facilitating input for linear/quadratic discriminant analysis (LDA/QDA) to identify and discriminate gas leaks. Results demonstrate an average accuracy of 80% in identifying gas-stressed plants from unstressed ones using LDA. Gas leakage can be discriminated from scenarios involving a single distracting stressor with an accuracy ranging from 76.4% to 84.6%, with drought treatment proving the most successful. Notably, first-order derivative processing of VNIR spectra yields the highest accuracy in gas leakage detection.
Rapid and Non-Destructive Prediction of Moisture Content in Maize Seeds Using Hyperspectral Imaging
Authors: Xue Hang , Xu Xiping , Yang Yang , Hu Dongmei , Niu Guocheng
Published: March 2024

The moisture content of corn seeds is a crucial indicator for evaluating seed quality and is also a fundamental aspect of grain testing. In this experiment, 80 corn samples of various varieties were selected and their moisture content was determined using the direct drying method. The hyperspectral imaging system was employed to capture the spectral images of corn seeds within the wavelength range of 1100–2498 nm. By utilizing seven preprocessing techniques, including moving average, S–G smoothing, baseline, normalization, SNV, MSC, and detrending, we preprocessed the spectral data and then established a PLSR model for comparison. The results show that the model established using the normalization preprocessing method has the best prediction performance. To remove spectral redundancy and simplify the prediction model, we utilized SPA, CASR, and UVE algorithms to extract feature wavelengths. Based on three algorithms (PLSR, PCR, and SVM), we constructed 12 predictive models. Upon evaluating these models, it was determined that the normalization-SPA-PLSR algorithm produced the most accurate prediction. This model boasts high RC2 and RP2 values of 0.9917 and 0.9914, respectively, along with low RMSEP and RMSECV values of 0.0343 and 0.0257, respectively, indicating its exceptional stability and predictive capabilities. This suggests that the model can precisely estimate the moisture content of maize seeds. The results showed that hyperspectral imaging technology provides technical support for rapid and non-destructive prediction of corn seed moisture content and new methods in seed quality evaluation.
Personal Competencies for Work–Family Integration and Its Relationship with Productivity and Comprehensive Health in Salaried Professionals
Authors: Cachutt-Alvarado Crisdalith , Méndez-Gómez-Humaran Ignacio , Velasco-Álvarez Jonás
Published: March 2024

Work–Family Integration (WFI) is the decision-making process that enables an individual to effectively balance work, family, and personal responsibilities, generating a level of personal satisfaction aligned with the management of these demands. This research aims to explore the potential links between personal competencies facilitating work and family integration (WFI Competencies), employer-provided support (WFI Support), perceived satisfaction in role integration (WFI Satisfaction), and their association with organizational performance indicators and the overall health of professionals in dependent employment. Data were obtained via an online questionnaire administered to 270 professionals possessing a university education or higher, employed in public or private organizations spanning various sectors in Venezuela. The data were subsequently analyzed utilizing Structural Equation Modeling (SEM). The study was divided into two main parts: the factorial analysis (both exploratory and confirmatory) of measurement models and the analysis of the relationships and modeling inherent to the structural model. Initially, two diagnostic instruments were developed, one for WFI Competencies and another for WFI Indicators; though applied simultaneously, their structuring and validation were conducted separately. In the subsequent phase, conceptual models for structural analysis were defined. A positive relationship was observed between WFI Support and WFI Satisfaction, corroborating findings from previous research. The relationships between WFI Competencies and Satisfaction led to insights into the necessity of training to strengthen the personal decision-making process under the dual pressures of work and family roles. Future longitudinal studies could elucidate the effects of relationships within such programs on WFI Satisfaction. Concerning organizational indicators, this study found that WFI Satisfaction positively correlates with organizational commitment, enhancing work productivity and mitigating negative health effects. This research presents a model that could be replicated in other countries and with various sample types, facilitating comparative analyses that enrich the body of knowledge on this subject.
Remote Work, Gender Ideologies, and Fathers’ Participation in Childcare during the COVID-19 Pandemic
Authors: Carlson Daniel L. , McPherson Skye , Petts Richard J.
Published: March 2024

During the early days of the COVID-19 pandemic, remote work became the new reality for many fathers. Though time availability theory suggests that this newfound flexibility should lead to more domestic labor on the part of fathers, many were skeptical that fathers would step up to shoulder the load at home. Indeed, the findings are decidedly mixed on the association of fathers’ remote work with their performance of housework and childcare. Nonetheless, research has yet to consider how contextual factors, such as fathers’ gender ideologies and mothers’ employment, may condition these associations. Using data from Wave 1 of the Study on U.S. Parents’ Divisions of Labor During COVID-19 (SPDLC), we examine how gender ideology moderates the association between fathers’ remote work and their performance and share of childcare during the early days of the COVID-19 pandemic in both sole-earner and dual-earner families. The results show, for sole-earning fathers and dual-earner fathers with egalitarian gender attitudes, that the frequency of remote work was positively associated with fathers performing more, and a greater share of, childcare during the pandemic. Yet, only dual-earner fathers with egalitarian gender attitudes performed an equal share of childcare in their families. These findings suggest that the pandemic provided structural opportunities for fathers, particularly egalitarian-minded fathers, to be the equally engaged parents they desired.
Thermal Performance Assessment of Aerogel Application in Additive Construction of Energy-Efficient Buildings
Authors: Kotov Evgeny Vladimirovich , Nemova Darya , Sergeev Vitaly , Dontsova Anna , Koriakovtseva Tatyana , Andreeva Darya
Published: March 2024

The main development direction of energy efficiency technologies in construction is the creation of various materials with complex structures and unique strength, thermal properties, and other properties. The aerogel is a material with high porosity and excellent thermal insulation properties. This paper provides state-of-the-art aerogel applications for the additive manufacturing of energy-efficient buildings. This work provides the experimental and numerical assessment results of the thermal conductivity of aerogel-enhanced blanket, the experimental assessment results of thermal performance of aerogel-enhanced building structure, the experimental assessment results of the aerogel application as a mixture powder component of the concrete mixture to printing buildings, and the experimental assessment results of the aerogel application as a parget powder component. Experimental results show the effect of aerogel powder component application: thermal conductivity decreased by 25%.
A Dynamic Security Assessment Method for Ironmaking Plants Based on Cloud-Edge Collaboration in Reconstructed Networks
Authors: Bai Jiujun , Chen Xuebo
Published: March 2024

Security assessment of ironmaking plants is one of the crucial means to promote their sustainable development. However, the disparate nature of subsystems within these plants, along with network inconsistencies and isolated data, obstruct a thorough and timely security assessment. At the same time, it is impossible to achieve the sustainable development goals of reducing the adverse impact of safety on the environment, ensuring economic benefits and the health of employees. This study addresses the complexities of heterogeneous networks, disparate systems, and segregated data that are prevalent in traditional ironmaking plants; and a method to reconstruct the plant’s network and execute security assessments is proposed. This method involves coupling existing systems with new ones to create comprehensive data and resource pools by aggregating information from diverse sources. Subsequently, employing multiple regression models and optimized neural network models at the edge and central cloud facilitates dynamic assessment of security concerns. This method enables concurrent consideration of both regional and overall security analysis and decision-making within the plant. Through simulation testing of 27 functionalized module indicator datasets over the preceding 12 months at a specific ironmaking plant, the efficacy of the proposed theoretical methods and technological approaches in constructing security systems for ironmaking plants is substantiated.
When Is the Ark Getting Here? The Impact of the Media on Threatened and Endangered Species’ Time to Listing and Long-Term Sustainability
Authors: Bellas Allen , Kosnik Lea-Rachel
Published: March 2024

The goal of this study is to determine whether media coverage affects a species’ waiting time from candidacy or proposal to inclusion on the threatened/endangered species list and, as a result, the species’ prospects for long-term survival and ultimate sustainability. The timely listing of a species reduces the probability that it will go extinct while under review, speeds the development and implementation of preservation plans, and ultimately improves overall biodiversity and ecosystem robustness. While the timing dimension of the EPA’s endangered/threatened species listing process has been investigated previously, this research appears to be the first to include media attention as a possible explanatory variable. Results from a Cox proportional hazards model suggest that media attention can significantly impact the time from candidacy to listing, and that both national and local articles tend to hasten the process. Coverage earlier in the process is especially impactful. Various factors, including political forces, are ultimately at play, but our results suggest that media input plays a part as well.
Cartographic Resources for Equitable University–Community Interaction in Slum Areas
Authors: Virgens Marbrisa N. R. das , Brito Patricia L. , Lustosa Ricardo , Pedrassoli Julio , Ulbrich Philipp , Albuquerque João Porto de , Ferreira Marcos Rodrigo , Severo Fernando G. , Figueiredo Alessandra da S. , Fantin Marcel , Khalil Hussein , Costa Federico
Published: March 2024

Cartographic resources play a crucial role in facilitating communication across various sectors, including research projects focused on low-income communities. Despite this, some researchers still adhere to colonialist and exploitative approaches. This study aims to promote equitable university–community interaction though cartographic resources, aid academic and vulnerable community users in choosing a better platform for their work, and provide insights to developers for improving the platforms to better serve the user profiles of community members. To achieve this, we examined the use of cartographic resources in five projects within low-income communities (commonly referred to as favelas or so-called “slums”) in three Brazilian cities, all guided by equitable principles. The study unfolds in four stages: (i) data collection from documents and interviews; (ii) systematization into seven analytical categories—cartographic resources, data, personnel, processes, equipment, general objectives, and specific objectives; (iii) analysis of eight cartographic resources; and (iv) a critical examination of the outcomes. The synthesis of the collected information identified 65 characteristics/demands, with 17 common to all projects, including vector feature creation, thematic map design, printed map usage, and satellite imagery. We also identified 53 geographic information system (GIS) functionalities required for the projects, predominantly related to vector data generation and editing. The outcomes demonstrate the benefits of project methodologies, contributing to a decolonial university–community praxis. Additionally, they underscore the potential of digital cartographic resources, functioning not solely as data collection tools but also as powerful instruments that empower slum residents to advocate for improvements and foster local development.
Mid-Term Estimates of Influenza Vaccine Effectiveness against the A(H1N1)pdm09 Prevalent Circulating Subtype in the 2023/24 Season: Data from the Sicilian RespiVirNet Surveillance System
Authors: Costantino Claudio , Mazzucco Walter , Graziano Giorgio , Maida Carmelo Massimo , Vitale Francesco , Tramuto Fabio
Published: March 2024

The current influenza season started in Italy in October 2023, approaching the epidemic peak in late December (52nd week of the year). We aimed to explore the mid-term virologic surveillance data of the 2023/2024 influenza season (from 16 October 2023 to 7 January 2024) in Sicily, the fourth most populous Italian region. A test-negative design was used to estimate the effectiveness of seasonal influenza vaccine (VE) against A(H1N1)pdm09 virus, the predominant subtype in Sicily (96.2% of laboratory-confirmed influenza cases). Overall, 29.2% (n = 359/1230) of oropharyngeal swabs collected from patients with influenza-like illness (ILI) were positive for influenza. Among the laboratory-confirmed influenza cases, 12.5% (n = 45/359) were vaccinated against influenza, with higher prevalence of laboratory-confirmed diagnosis of influenza A among subjects vaccinated with quadrivalent inactivated standard dose (29.4%), live attenuated intranasal (25.1%), and quadrivalent inactivated high-dose (23.8%) influenza vaccines. Comparing influenza vaccination status for the 2023/2024 season among laboratory-confirmed influenza-positive and -negative samples, higher vaccination rates in influenza-negative samples (vs. positive) were observed in all age groups, except for 45–64 years old, regardless of sex and comorbidities. The overall adjusted VE (adj-VE) was 41.4% [95%CI: 10.5–61.6%], whereas the adj-VE was 37.9% [95%CI: −0.7–61.7%] among children 7 months–14 years old and 52.7% [95%CI: −38.0–83.8%] among the elderly (≥65 years old).
Marketing Strategy and Preference Analysis of Electric Cars in a Developing Country: A Perspective from the Philippines
Authors: Uy John Robin R. , Ong Ardvin Kester S. , German Josephine D.
Published: March 2024

The wide-scale integration of electric vehicles (EVs) in developed countries represents a significant technological innovation and a step toward reducing carbon emissions from transportation. Conversely, in developing nations like the Philippines, the adoption and availability of EVs have not been as rapid or widespread compared to other countries. In identifying this gap, this study delved into the preferences and factors influencing Filipino consumers’ willingness to purchase EVs. The study gathered 311 valid responses utilizing conjoint analysis with an orthogonal approach to assess the attributes influencing customers’ purchase decisions. Conjoint analysis tools such as IBM SPSS v25 statistics were utilized to infer consumer preference. The results determined that cost is the primary concern for consumers by a considerable margin; followed by battery type and charging method; along with the type of EV, driving range, and charging speed; and most minor concern is regenerative brakes. Therefore, there is an apparent sensitivity to price and technology. This study is the first to apply conjoint analysis to the Philippine market, delivering in-depth consumer preference insights that can help manufacturers and policymakers customize their approach to making EVs more attractive and more viable in less developed markets. The results suggest that a targeted effort to overcome cost barriers and improve technological literacy among prospective buyers should be productive for speeding up EV adoption in the Philippines. The results could be extended in future research to a broader assessment of socioeconomic and environmental benefits, laying out a broader plan for promoting sustainable solutions in transportation.
Prevalence of overweight and obesity among adults in the Novosibirsk Region
Authors:   AO «Vector-Best», Cheremisina K. A. , Trunina O. S. ,   SBHI NR Novosibirsk Clinical District Hospital No. 1, Baraboshkina A. V. ,   AO «Vector-Best», Agletdinov E. F. ,   AO «Vector-Best»
Published: March 2024

The authors conducted a study of the prevalence of overweight and obesity among the adult population of the Novosibirsk Region of different age groups and among men and women, as well as assessed the lipid profile of each group in order to study the degree of the problem associated with excess weight in different age groups of the population. The need to systematize existing approaches to the prevention of obesity to level out the impact of conditions associated with it on health is emphasized.
Algorithms and general principles of initiation and intensification of hypoglycemic therapy
Authors:   Federal State Budgetary Educational Institution of Continuing Professional Education ", Maksimov M.L. ,   Russian Medical Academy of Continuous Professional Education",   of the Ministry of Health of the Russian Federation,   Institute of Pharmacy and Medical Chemistry, Federal State Autonomous Educational Institution of Higher Education ",   Pirogov Russian National Research Medical University", Filimonova I.M. ,   Federal State Budgetary Educational Institution of Continuing Professional Education "Russian Medical Academy of Continuous Professional Education" of the Ministry of Health of the Russian Federation, Shikaleva A.A. ,   Federal State Budgetary Educational Institution of Continuing Professional Education "Russian Medical Academy of Continuous Professional Education" of the Ministry of Health of the Russian Federation, Knni Yu.A. ,   Federal State Budgetary Educational Institution of Higher Education "Kazan State Medical University" of the Ministry of Health of the Russian Federation, Bontsevich R.A. ,   Federal State Budgetary Educational Institution of Continuing Professional Education "Russian Medical Academy of Continuous Professional Education" of the Ministry of Health of the Russian Federation; Federal State Budgetary Educational Institution of Higher Education "Mari State University"
Published: March 2024

The authors reviewed the main approaches to the treatment of diabetes mellitus type 1 (including insulin therapy, glycemia self-monitoring, and education in the principles of disease management) and type 2 (nutrition, physical activity, glucose-lowering drugs, glycemia self-monitoring, education in the principles of disease management, and surgical treatment for morbid obesity), as well as gestational diabetes mellitus. The general principles of initiation and intensification of hypoglycemic therapy are considered.
L’Etat face aux langues. La statistique des langues en Autriche et en Hongrie, entre science et politique (1780-1918)
Authors: Baric Daniel
Published: March 2024

Depuis la fin du XVIIIe siècle jusqu’à 1918, la question des langues vernaculaires dans la Monarchie des Habsbourg devient un enjeu politique de plus en plus manifeste. Les études qui tentent de cerner le nombre de locuteurs des différentes langues en usage et leur localisation se multiplient, car la demande s’en fait sentir au sein de l’administration et du pouvoir politique. La statistique des langues cristallise la conscience d’une pluralité linguistique et impose de réfléchir à la gestion de cette pluralité depuis Vienne et Pest. L’étude comparée des travaux autrichiens et hongrois, centrée sur le cas de l’espace croate, met en lumière cette évolution, tout en présentant les particularités des approches autrichienne et hongroise (décalages chronologiques, rôle du pouvoir central, usage polémique des chiffres...). Ainsi, de 1780 à 1918, la statistique des langues se professionnalise (notamment grâce aux travaux de Karl von Czoernig et Adolph Ficker) et se politise en devenant la marque d’une appartenance nationale (Richard Boeckh), au rythme des divergences grandissantes entre Cisleithanie et Transleithanie.
OPINIONS OF INTENSIVE CARE NURSES ON THE WEB-BASED EDUCATION MODEL: A HOSPITAL EXAMPLE
Authors: Çelik Pelin , Tel Aydın Hatice
Published: March 2024

Intensive care nurses provide nursing care to critical patients not only using advanced knowledge and advanced clinical skills but also by racing against time. Therefore, it is vital for intensive care nurses to maintain their professional development and closely follow current trends related to the care process. This study aims to determine the opinions of intensive care nurses about the use of the web-based education method in in-service education. The sample of this study consisted of 62 intensive care nurses working in the adult intensive care unit. All the nurses volunteered to participate in the web-based in-service education program on the “The Effect of Web-Based Education on the Knowledge and Practice of Sedation Management of Intensive Care Nurses.” The study data were obtained with the “Nurse Introduction Form” and the “Evaluation Form of the Opinions of Nurses on Web-Based Education”. These data were evaluated with the SPSS 22.0 software and descriptive statistics (frequency, percentage, median, and interquartile range). This study found that the rate of agreement on the statements "web-based in-service education activities support nurses in maintaining continuing education/lifelong education after graduation," "web-based in-service education activities can be a solution to the problem that nurses cannot participate in in-service education programs due to working hours," and "web-based in-service education activities facilitate the family life of nurses" was very high. Nurses believe that web-based education is supportive in maintaining continuing professional development and in-service education.
COVID-19 Pandemic – Battle of Narratives: Social Constructivism as a Defence Mechanism
Authors: Pinterič Uroš , Clarič-Jakše Lea-Marija
Published: March 2024

The article analyses the development of the COVID-19 pandemic situation in Slovakia, Czechia and Slovenia in the frame of expert, political and administrative narratives. The argumentative part mainly focuses on the development of the narrative in Slovenia and uses the examples from the Czech Republic and Slovakia as the reference frame. Information was collected from the various national media outlets and organized into the comparative time frames and compared with the epidemiological data. Slovenian inconsistencies in communication patterns developed into the complete disintegration of the pandemic crisis management and into the struggle for the supremacy of personal political agenda. As a case study, the article shows the constructivist relativism through the comparison of data and government-media narrative. Thus, the article addresses the issues of relativism on the one hand and of narrative absolutism on the other. The main aim is a critical presentation of “a crisis event” in connection to the government authorities spin on an event according to their political goals. The given case, due to a rather short period, strong media coverage and high data availability, shows inconsistencies of epidemiological data interpretation, resulting in multiple realities, causing multiple responses that paralysed effective decision-making as well as effective policy measures.
Sosialisasi, Pembinaan dan Pelatihan Pengelolaan Silvofishery di Dusun Tangkolak Desa Sukakerta Cilamaya Wetan Karawang
Authors: Sam'un Mohamad , Fikri Mohamad Rom Ali , Muharam Muharam
Published: March 2024

Pengelolaan ekosistem kawasan hutan mangrove di Dususn Tangkolak adalah model konservasi, model ekowisata bahari ekosistem mangrove, dan model laboratorium alam.  Model pengelolaan silvofishery belum diterapkan oleh masyarakat setempat. Permasalahan yang ada berupa ketiga model pengelolaan di atas dilakukan masih sangat terbatas.  Model pengelolaan silvofishery belum pernah dilakukan karena terbentur sumber daya modal. Metode kegiatan pengabdian dilakukan dengan ceramah dan diskusi.  Isi ceramah berupa  sosialisasi pentingnya pengelolaan kawasan mangrove agar tetap lestari salah satunya dengan menerapkan konsep budidaya silvofishery yaitu penggemukan kepiting. Pemberian materi teknis budidaya penggemukan kepiting di kawasan hutan mangrove.  Membangkitkan motivasi implementasi usaha budidaya penggemukan kepiting sebagai salah satu mata pencaharian masyarakat setempat. Tempat kegiatan pengabdian di kawasan hutan mangrove Dusun Tangkolak Desa Sukakerta Kecamatan Cilamaya Wetan Kabupaten Karawang.  Sasaran kegiatan adalah KUB Kreasi Alam Bahari.  Kegiatan pengabdian kepada masyarakat adalah  berupa sosialisasi, pembinaan dan pelatihan kepada KUB Kreasi Alam Bahari dengan jumlah anggota 20 orang. Peserta merasa terpacu untuk lebih meningkatkan upaya pelestarian kawasan hutan mangrove, termotivasi dan berminat untuk mengimplementasikan usaha tani silvofishery budidaya penggemukan kepiting.  Output kegiatan pengabdian kepada masyarakat ini berupa peningkatan pemahaman anggota KUB Kreasi Alam Bahari terhadap pentingnya menjaga kelestarian ekosistem hutan mangrove dan pemahaman metode teknis pengelolaan silvofishery.
De “hija de la pestilencia” a “Oro blanco” de la economía. Ganadería, lana y especialización regional en el espacio nororiental ibérico (siglos XIV-XV)
Authors: Iradiel Paulino
Published: March 2024

Resumen
La gestión de los espacios naturales de montaña en una amplia región desde Cataluña a Castilla oriental produjo un sistema económico determinado por la ganadería e impulsado por la monarquía, los señores y las comunidades rurales. La Gran Crisis no creó la oveja merina pero favoreció la compleja transición de un régimen de cultivos intensivos cerealistas a un régimen extensivo de componente ganadero. La consecuencia fue la creación de un modelo de producción e intercambio, con fuerte participación de mercaderes italianos, que fueron dos de las creaciones más originales de estas sociedades medievales ibéricas.
Abstract
The management of natural mountain areas in a vast region spanning from Catalonia to eastern Castile led to the development of an economic system determined by livestock farming and driven by the monarchy, the lords, and the rural communities. The Great Crisis did not give rise to the Merino sheep, but it favoured the complex transition from a regime of intensive cereal crops to an extensive regime with a livestock component. The consequence was the creation of a unique model of production and exchange, with the strong participation of Italian merchants, two of the most original creations of these medieval Iberian societies.
Human herpes virus type 6 (Orthoherpesviridae: Roseolovirus): features of epidemiology and diagnosis
Authors: Saydullayeva Inara S. , Tikhomirov Dmitry S. , Drokov Mikhail Y. , Tupoleva Tatiana A.
Published: March 2024

Human herpes virus 6A and human herpes virus 6B (HHV-6A and HHV-6B) are ubiquitous viruses. The spectrum of clinical manifestations of HHV-6A/B infections is quite wide. The current understanding of the natural history and laboratory diagnosis of HHV-6A and HHV-6B, including their chromosome-integrated form, serves the basis for development of the tools for HHV-6 epidemiological monitoring. This article addresses the epidemiology and diagnosis of infections caused by these viruses, including ones in patients after transplantation of solid organs and allogeneic hematopoietic stem cells.
Occurrence in sick animals and genetic heterogeneity of Siberian isolates of bovine respiratory syncytial virus (Pneumoviridae: Orthopneumovirus; BRSV) identified in the territories of the Ural, Siberian Federal District and the Republic of Kazakhstan
Authors: Glotov Alexander G. , Yuzhakov Anton G. , Glotova Tatyana I. , Nefedchenko Alexey V. , Koteneva Svetlana V. , Komina Alina K. , Zhukova Elena V.
Published: March 2024

Introduction. Bovine respiratory syncytial virus (Pneumoviridae: Orthornavirae, Orthopneumovirus; Bovine orthopneumovirus, Bovine respiratory syncytial virus, BRSV) is one of causative agents of respiratory diseases in animals. The study of the occurrence and genetic diversity of this pathogen is of particular importance.
Objective. To study the frequency of virus in animals using RT-PCR and genetic heterogeneity of isolates based on determining the complete nucleotide sequence of glycoprotein G gene.
Materials and methods. A 381-bp region of glycoprotein F gene was used for identification of virus genome, while complete nucleotide sequences of G gene were used for phylogenetic analysis. Phylogenetic trees were constructed using the maximum likelihood method in MEGA 7.0 software.
Results. During outbreaks of respiratory diseases, BRSV RNA was detected in animals of all ages in samples of lungs, nasal secretions, pulmonary lymph nodes. Complete nucleotide sequences of glycoprotein G gene, 771 bp in length were obtained for five isolates and 789 bp in length ‒ for two isolates. Nucleotide similarity between them was 87–100%. Phylogenetic analysis assigned the isolates to subgroups II and III, each of which included two isolates. A separate clade formed by K18 isolate from animals imported from Canada and sequences from vaccines containing the attenuated «375» strain.
Conclusion. The virus genome was identified in cows and heifers (20.0 and 14.3%), in calves up 1 month of age (3.05%), and in calves from 1 to 6 months of age (6.7%). Complete G gene nucleotide sequence analysis is a useful tool for studying the molecular epidemiology of BRSV on particular territories.
Kedi ve Köpeklerde Obezitenin Hayvan Sahiplerinin Profilleri ile Birlikte Değerlendirilmesi
Authors: Demir İzzet Emin , Altaçlı Selçuk
Published: March 2024

Obezite kedi ve köpekler için günümüzde yaygın olarak seyreden hem metabolizma hem de beslenme bozukluğudur. Obeziteyle bağlantılı olarak kedi ve köpeklerde diabetes mellitus, kardiyovasküler sistemi hastalıkları, kas-iskelet sistemi hastalıkları ve hatta morbidite gibi ciddi ve geri dönüşü olmayan sorunlar gelişebilir. Bu çalışmayla ülkemizde de kedi ve köpek obezitesi ile kedi-köpek sahiplerinin bakım ve besleme davranışları arasındaki bağıntıların verilerinin anket yoluyla elde edilmesi amaçlanmıştır. Çalışmaya katılım sağlayan 1135 katılımcıdan elde edilen verilere dayanılarak ülkemizde kedilerin %42’sinin, köpeklerin ise %30’unun aşırı kilolu ve obez oldukları belirlenmiştir. 1079 hayvan sahibinin obezitenin kedi ve köpekler için bir hastalık olduğunun farkında olduğu belirlenmiştir. Ayrıca bu çalışmayla ülkemizdeki kedi ve köpek sahiplerinin %8’inin vejetaryen, %61’inin vegan olduğu da tespit edilmiştir. Kedi ve köpeklerin vejetaryen beslenmesini uygun bulmayan hayvan sahiplerinin oranının %66, vegan beslenmesini uygun bulmayanların oranının ise %64 olduğu da önemli bir veri olarak çalışma sonunda ortaya çıkmıştır. Sonuç olarak bu araştırmanın sonucunda elde edilen verilerin ülkemizde açığı bulunan kedi ve köpek obezitesiyle ilgili literatüre kaynak sağlaması ve kedi-köpek obezitesine yönelik çalışmalara az da olsa katkı sunması umut edilmektedir.
Tablası Alınmış Çerezlik Ayçiçek Hasılını Farklı Katkılarla Silolamanın Silaj Kalitesi, In-Vitro Sindirilebilirlikleri ve Enerji İçeriğine Etkisi
Authors: Yıldız Serhat
Published: March 2024

Bu çalışma, tablası alınmış çerezlik ayçiçeği hasılının (TAÇAH) farklı katkılarla silolanmasının, silaj kalitesi, in-vitro sindirilebilirlik ve enerji içeriklerinin belirlenmesi amacıyla yürütülmüştür. TAÇAH silajlık materyal olarak parçalanarak, %5 melas ya da %4 arpa kırığı ile karıştırılmış ve bu gruplara 0 ya da 5 g/ton bakteriyel inokulant+enzim karışımı (Bİ+E) ilave edilmiştir. Böylece oluşturulan 6 grup 5’er tekerrür şeklinde 1 litrelik cam kavanozlara silolanmıştır. 70 günlük inkubasyon süresi sonunda silaj sıvılarının pH değerleri, NH3-N ve UYA konsantrasyonları belirlenmiştir. Silaj örneklerinde ham besin madde analizleri, in-vitro sindirilebilirlikleri ve enerji içerikleri ile silajların Fleig puanları belirlenmiştir. Sonuç olarak silajların analiz değerleri dikkate alındığında, melas, arpa ve Bİ+E karışımlarından kaliteli silajlar elde edilmiş ve kullanılan katkılar silaj kalitesini arttırmıştır. Özellikle, %4 arpa ve 5 g/ton Bİ+E ilavesiyle hazırlanan silaj KM, LA, pH, Fleig puanı, KMS, OMS, SE, ME ve NEL değerleri açısından, diğer silaj gruplarına nazaran daha iyi sonuç vermiştir. Ayçiçeği hasılına sadece %5 melasın ilave edildiği gruptan da benzer sonuçlar elde edilmiştir. Ayrıca, bakteriyel inokulant katkısı da silaj kalitesini olumlu yönde etkilemiştir.
Slaughter and Carcass Traits of Gray Hungarian and German Mast Geese
Authors: Kırmızıbayrak Turgut , Karadağ Selda , Boğa Kuru Buket
Published: March 2024

This study was carried out to determine the slaughter and carcass traits of Gray Hungarian and German Mast geese raised in private farm conditions in Kars province, and the effect of genotype and sex on these traits. A total of 113 geese, 71 females (51 Gray Hungarian geese and 20 German Mast geese) and 42 males (28 Gray Hungarian geese and 14 German Mast geese) were slaughtered at approximately 6 months of age. The mean live weights of Gray Hungarian and German Mast geese before slaughter were 4291.96 and 3007.59 g, respectively. Statistically significant differences were found between Gray Hungarian and German Mast geese in slaughter and carcass traits except gizzard weight (p0.050). There was a statistically significant difference in gizzard weight between the sex groups of Gray Hungarian geese (p
Three-Dimensional Examination of Humerus and Antebrachium Bones in the Red hawk (Buteo Rufinus) with Computed tomography (CT)
Authors: Delibaş Veysel , Soygüder Zafer , Göya Cemil , Aslan Loğman , Çakmak Gamze
Published: March 2024

The red hawk (Buteo Rufinus) is a medium-sized bird of prey with wide wings, belonging to the order Falconiformes and a member of the Accipitridae family. The Red hawk is a wild bird species and is easily recognized by its black feathers and red color on its wing feathers. In poultry, the thoracic extremity is developed as a wing. Techniques such as radiography, computed tomography and magnetic resonance contribute significantly to the evaluation of biological data in endangered species and wildlife because they provide the best view of anatomical structures and organs, are non-invasive, and allow sensitive diagnoses. The aim of this study was to create 3D models of the humerus and antebrachium bones of the Red hawk, an important bird of prey, with multi-detector computer tomography and to examine the bones mentioned morphologically and morphometrically through the models obtained. Humerus and antebrachium bones of a total of 6 dead adult Red hawks, 3 females and 3 males, were used as materials. When the morphometric results were examined, the average humerus length, average ulna length and average radius length in Red hawks were expressed in mm for the left and right extremities, regardless of gender. Moreover morphometric measurements of the humerus, ulna and radius bones were compared statistically between the right and left wings, and it was concluded that there was a significant difference between some values with a value of p
Linkage between SARS-CoV-2 infection and neurodegenerative disorders: Review and current update
Authors: Javed Amaan , Batra Anika , Singh Mehak , Sarkar Parnica
Published: March 2024

The emergence of severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002, followed by the Middle East respiratory syndrome coronavirus (MERS-CoV) that causes fatal illness in 2012, has made coronaviruses a public health concern. Coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 infection does not only affect the respiratory system but has also been observed to elicit neurological manifestations, with anosmia and ageusia being the most common, followed by headache, seizures, neuropathies, and encephalopathy. In addition to SARS-CoV and MERS-CoV which have been proven to be neuroinvasive, SARS-CoV-2 has been found to worsen preexisting long-term neurodegenerative diseases such as Parkinson’s disease and Alzheimer’s disease, apart from triggering the acute neurological symptoms. The association between COVID-19 and relatively rare neurodegenerative disorders such as amyotrophic lateral sclerosis and Huntington’s disease has yet to be corroborated due to limited significant data. Studies have shown that COVID-19 does not seem to exacerbate these disorders, and the severity of COVID-19-related disease and fatalities is not significantly higher in the affected patients than in the general population. However, increased complications have been reported among the patients in advanced stages of these diseases. Hence, it is imperative to conduct long-term, comprehensive investigations on the effects of SARS-CoV-2 on neurodegenerative disorders, with the ultimate aim of developing appropriate interventions. Studies involving larger cohorts of people of varying ages, disease duration, and ethnicity are urgently warranted.
The short-horned grasshoppers (Acrididae and Pyrgomorphidae: Orthoptera) of Karnataka, India: A checklist and distribution data
Authors: Mounika Loka , Swaminathan Rajamani , Kalleshwaraswamy Chicknayakanahalli M.
Published: March 2024

Short-horned grasshoppers’ checklist is presented here. In the present study, the inventory was created using data from a survey conducted in various districts of Karnataka between 2019-2021, including Chikkamagaluru, Dakshina Kannada, Davanagere, Hassan, Kodagu, Shivamogga, Udupi, Uttar Kannada and orthopteran collections at the Insect Systematics Laboratory, Department of Entomology, KSNUAHS, Shivamogga and literature published to date from various parts of Karnataka. A total of 101 species/subspecies belonging to 66 genera, 15 subfamilies and two families i.e., Acrididae and Pyrgomorphidae were reported. Several species were recorded for the first time from the districts investigated, including 9 in Chikkamagaluru, 4 in Dakshina Kannada, 1 each in Hassan and Kodagu, 3 in Shivamogga, 9 in Udupi and 1 in Uttar Kannada. This is the first-ever checklist featuring distribution records for short-horned grasshoppers in Karnataka and is updated with the Orthoptera species file online. The index may help for future taxonomic diversity studies of grasshoppers of Karnataka