bluuebunny/crossref_metadata_2025_split huggingface dataset:
Remote Sensing Building Damage Assessment Based on Machine Learning
Authors: Tang Jiawei , Yang Shengquan , Huang Shujuan , Xiao Bozhi 
Published: October 2024

Abstract
After the occurrence of various types of disasters, including natural disasters and man-made damage, aid workers need accurate and timely data, such as the damage status of buildings, in order to take effective measures for rescue. So as to solve this problem, this paper researches and designs a building damage classification system based on machine learning. The damage assessment system consists of two network models (building extraction network and damage classification network). This article analyzes and designs the structure of each network model, and discusses the principles related to computer vision in machine learning. Buildings in satellite images are segmented through Siamese Convolutional Neural Network, the BottleNeck Module and Feature Pyramid Network are used in the damage classification assessment network to detect damage to buildings in sub-temporal remote sensing images. Subsequently, the model was trained and tested on different disaster events on the xBD dataset. The results show that the building damage detection system based on Siamese-CNN achieves good detection accuracy, and the system has the advantages of simple operation, good timeliness and low resource consumption, and can well meet the needs of disaster assessment.
The influence of probiotic administration on selected leukocyte subpopulations and the serum amyloid A concentration in the peripheral blood of dairy cows during different lactation periods
Authors: Brodzki Piotr , Marczuk Jan , Gorzkoś Hubert , Lisiecka Urszula , Szczubiał Marek , Brodzki Adam , Dąbrowski Roman , Krakowski Leszek , Głodkowska Katarzyna , Brodzki Nikodem 
Published: October 2024

Abstract

Introduction
The aim of the study was to compare selected leukocyte subpopulations and the serum amyloid A (SAA) concentration in the peripheral blood of cows at different stages of lactation. The blood of cows receiving a probiotic as a dietary supplement was compared with the blood of cows not receiving it.

Material and Methods
The research was conducted on 20 pregnant dairy cows randomly divided into two groups of 10 cows each. The experimental group consisted of cows given the probiotic as a feed supplement. The control group consisted of cows that were fed without supplementation. Blood was drawn six times for testing: 7 days before drying; 14 days before parturition; and 7, 21, 60 and 90 days postpartum. Leukocyte immunophenotyping was performed by flow cytometry.

Results
The blood of cows administered the probiotic revealed an increased percentage of forkhead box protein 3 (Foxp3)+, T CD4+ and B CD25+ lymphocytes and β2 CD18+ and αM CD11b+ integrins, and persistently low SAA levels at all time points.

Conclusion
The activity of the immune system in cows receiving the probiotic was higher than in control cows. However, the stabilisation of the immune system of the supplemented cows may be indicated by the persistence of a low level of SAA throughout the experiment. Therefore, it can be assumed that the immune system of cows treated with the probiotic more easily adapts to changes in conditions in particular lactation periods and that these cows become more resistant to infectious diseases.
Mapping Physical Literacy in Czech Future Physical Education Teachers – a Time Trend Study
Authors: Poláková Martina , Vašíčková Jana 
Published: October 2024

Abstract
To facilitate the dissemination of physical literacy (PL), prioritizing its integration in the education of future physical education (PE) teachers is imperative. This study focuses on assessing the PL levels of university students enrolled in PE programs who have participated in a dedicated workshop on PL to understand its significance and its attributes. Utilizing the Czech version of the PLAYself questionnaire administered in a pencil-and-paper format, data were collected from 350 participants between 2017 and 2023, excluding the year 2020 due to the COVID-19 pandemic. Analysis revealed varying levels of confidence among students regarding physical activity (PA) across different environments, with outdoor activities garnering the highest confidence (71.5%) and activities on ice demonstrating the lowest (52.9%). While most students recognize the importance of being physically active for their health and well-being (96%), there exists a conscious acknowledgement of the necessity to refine movement skills, despite innate abilities (74.7%). Interestingly, students exhibit lower confidence levels within group settings, with only 32.8% perceiving themselves as the most proficient in PA among peers. Furthermore, the perceived importance of PL surpasses that of literacy and numeracy, particularly within family, school, and peer contexts. A minority of students (13.7%) feel inadequately physically fit to engage in desired PAs. These findings underscore the significance of bolstering students’ confidence in PA participation, as it correlates positively with their future academic performance. This study emphasizes the pivotal role of education in fostering a culture of PL among future educators and their influence on shaping the PL of subsequent generations.
Business Intelligence Tools Applied in the Assessment of the Genotype X Environment Interaction in Elephant Grass
Authors: Porfirio Ricardo Tristão , Machado Juarez Campolina , Moraes Emerson Augusto Priamo , Andrade Ricardo Guimarães , Hott Marcos Cicarini , Motta Matheus Bertolino , Magalhães Vanessa Maia Aguiar de 
Published: October 2024

Objective: This study aimed to present a tool for evaluating the genotype x environment interaction using dashboards developed with Business Intelligence (BI) techniques in multiple elephant grass experiments for bioenergy production.

Theoretical Framework: Elephant grass, among the crops dedicated to the production of biomass energy, is considered a prominent alternative. It is widely known to breeders that, when evaluating genotypes in various environments, consistent behavior is not observed. This differentiated response of genotypes to environmental variation is called genotype x environment interaction. As the main purpose of a breeding program is to select genotypes of consistent and high productivity, in the most diverse environments, the interaction of these factors can represent a problem for breeders, as it reduces the precision in the selection from one environment to another.

Method: The tool selected for the development and manipulation of dashboards, provided by Google, is called Looker Studio, which allows the unification of several databases in a single environment. This integration facilitates the manipulation, creation and development of interactive management reports, promoting a dynamic and personalized visualization of information, an essential feature for analyzing and interpreting data in complex scenarios such as genotype x environment interaction.

Results and Discussion: BI tools prove to be a promising strategy for interpreting the genotype x environment interaction in multiple elephant grass experiments for bioenergy production. These tools allow researchers to quickly and dynamically visualize this phenomenon, providing ease of interpretation of large data sets.

Research Implications: The theoretical and practical implications of this research are valuable for evaluating the genotype x environment interaction in elephant grass, as they allow collecting, storing, processing and visualizing large amounts of data efficiently, allowing users to identify patterns and trends in the data that assist in making more assertive decisions.

Originality/Value: This study contributes to the evaluation of elephant grass genotypes for biomass energy production.
Characteristics of Advanced Epithelial Ovarian Cancer Patients in Dr. M. Jamil Padang Hospital
Authors: Azwan Reyhan Julio , Muhammad Syammel , Karmia Hudila Rifa 
Published: October 2024

Background: Ovarian cancer is a major global health concern, often diagnosed at advanced stages, impacting five-year survival rates. This study examines the demographic and clinical characteristics of 64 patients with advanced epithelial ovarian cancer, shedding light on the disease complexity.
Methods: Conducted at General Hospital Dr. M. Djamil Padang, this cross-sectional study analyzed patient data using SPSS. The research, approved by the Health Research Ethics Committee of Andalas University, included detailed demographic and clinical assessments.
Results: Predominantly, patients were aged 40-64, exhibited normal BMI, and a significant portion had not given birth. Evaluation of clinical factors, including Peritoneal Cancer Index (PCI) and residual tumor size, provided insights into the cohort's characteristics. Optimal cytoreduction (<1 cm residual tumor) was prevalent, emphasizing the role of surgery in enhancing survival.
Conclusion:The study underscores the multifaceted nature of advanced epithelial ovarian cancer and advocates personalized treatment approaches tailored to individual patient profiles. The findings contribute valuable insights to the existing knowledge, emphasizing the importance of age, BMI, and surgical interventions in influencing outcomes.
Implementation Enterprise Resource Planning (ERP) ODOO Version 15.0 Manufacturing Module at CV. Razzaq Berkah Mulia
Authors: Setiawan Ibnu Fajar , Siswanto Teddy , Sugiarto Dedy 
Published: October 2024

In the modern era, digitalization has had a significant impact on various business fields, with technology being the main key in fascilitating company performance. Digitalization of company systems is now an obligation, data integration is essential for analysis that supports company progress. ERP is software that simplifies company operations by integrating various business application modules such as Inventory, Accounting, Sales, Point of Sales, Manufacturing, Contact, Website, and Purchasing. CV Razzaq Berkah Mulia, which has the potential to compete with international furniture companies, has not fully adopted information systems in its management. This lack of digitalization can lead to losses and recording errors that hinder their business performance. An optimized and valid implementation of Odoo ERP is essential to improve the quality and operational efficiency of CV Razzaq Berkah Mulia. This Implementation will go through several phases, namely Discovery and Planning, Design, Development, Testing, Deployment, and Support. At the Discovery and Planning stage, the company needs will be identified and an implementation strategy will be planned. The Design stage will design the system as per requirements, while the Development Stage will involve the creation and configuration of the system. At the testing stage, the system willl be tested to ensure its functionality, and the Deployment stage will involve launching the system into the operational environtment. Finally, the Support stage will provide post-implementation support. The final result of this development can be accepted and implemented for the implementation of Odoo at CV. Razzaq Berkah Mulia through UTAUT with a satisfaction value of Performance Expectancy 88%, Effort Expectancy 88%, Supporting Facilities 88,4%, Facilitating Conditions 91%, Attitude Towards Technology 89,2%, Behavioral Intention 90,8%.
Suprasellar dermoid cyst masquerading as tumor: A case report
Authors: Al-Zaidy Mahmood F. , Ismail Mustafa , Alasady Ayaat F. , Al-Hilfi Mohammed S. , Al-Sandooq Mohammed S. , Ayad Fatimah , Emara Mohamed , Abdulateef Awfa Aktham , Hoz Samer S. 
Published: October 2024

Intracranial dermoid cysts (DCs) are well-defined, rare ectodermal inclusion cystic lesions. Symptomatic DCs usually present with symptoms due to local mass effect, seizures, or recurrent meningitis, depending on the specific location of the lesion. Suprasellar DCs have fairly classical features and locations, allowing radiological diagnosis in most patients; however, they can sometimes mimic some tumors in the region. Despite the progress made in imaging modalities, it can still be difficult to exclude the differential diagnosis of other tumors. In this report, we present an interesting case of an atypical DC that mimicked a tumor, specifically a craniopharyngioma or meningioma.
A 60-year-old female presented with headaches for four months and left visual field defects. A cranial computed tomography (CT) scan revealed an iso-to-hyperdense suprasellar lesion with intralesional calcification, which was extended to the left parasellar region. Brain magnetic resonance imaging (MRI) showed a suprasellar and more in the left sphenoid lesion that was hyperintense on T1-weighted imaging (T1WI) and hyper to mixed signal on T2-weighted imaging (T2WI), with gadolinium enhancement. Sphenoid wing meningioma and craniopharyngioma were mainly suspected as differential diagnoses. Intraoperatively, fluid was evacuated, and it was like machine oil. It was very comparable to the typical fluid of craniopharyngioma. Consequently, part of the lesion wall was dissected and portions of fatty and calcified content were removed. While removing the deepest part of the lesion, we encountered several hair follicles within the lesion. Immediately, the diagnosis shifted into a DC. Histopathology confirmed the diagnosis.
The DCs can be considered in the differential diagnosis of suprasellar tumors, as they can have similar clinical and radiological features to more commonly encountered tumors such as craniopharyngiomas and meningiomas, particularly when located in the suprasellar region and presenting with imaging characteristics that are non-cystic and not hypodense.
Clinical study protocol on assessment of quality of medical care and clinical prognosis in patients who underwent myocardial revascularization accounting modifiable risk factors
Authors: Kalyuta T. Yu. , Fedonnikov A. S. 
Published: October 2024

Introduction. Every year in Russia, the number of people who have undergone cardiac surgery exceeds 600 thousand. Among them, anemia occurs in 30-70% of cases, and cognitive dysfunction is noted in 20–80% of cases. Anemia increases the risk of death 4-fold within a year, 5-fold the risk of stent thrombosis, 1.3–fold the risk of recurrence of acute coronary syndrome and 2-fold the risk of bleeding, worsens the quality of life, cognitive status and compliance. Unresolved problems of managing medical care for specialized patients are associated with insufficient coupling of components of clinical and sociopsychological interaction, taking into account modifiable risk factors, and irrational use of limited industry resources distributed according to the quota mechanism. Patient-centered digital systems contribute to improving the quality of life of patients, optimizing the use of healthcare resources.Aim: To evaluate the parameters of the quality of medical care and clinical prognosis in patients who underwent myocardial revascularization, taking into account an expanded range of modifiable risk factors, including anemia, cognitive dysfunction and depression, using a developed digital intelligent data collection system.Material and Methods. A prospective cohort study of 300 adult patients who underwent myocardial revascularization is planned for 12 months in 3 groups (depending on the consent and technical feasibility of using a digital information system (CIS): 1 group will undergo questionnaires and cognitive behavioral training online through CIS; 2 group will undergo only questionnaires through CIS; 3 group will not use CIS. There are 2 face-to-face visits to the doctor (6 and 12 months), at which the following groups of endpoints will be evaluated: clinical outcomes; parameters of the quality of medical care and rehabilitation; patient-reported experience indicator (PREM). Validated and authored self-questionnaires will be used.
Otopsi Linguistik Forensik Pada Tuturan Perundungan Siber di Media Sosial Tiktok: Studi Kasus Pemilihan Umum Tahun 2024
Authors: Sandi Rizki Junando , Sawirman Sawirman , Aslinda Aslinda 
Published: October 2024

Freedom of speech on social media often gives rise to acts of cyber-bullying aimed at insulting, offensive, and degrading individuals or groups. The use of language as a tool to perpetrate cyber-bullying deserves further attention. This research aims to analyze forensic linguistic autopsy of cyber-bullying speech on social media Tiktok with a case study of the 2024 General Election. This research is qualitative research with stages of data collection and analysis carried out through observation, textual techniques and lingual data recording, so that followed by comparing the data referentially. The results of research on cyberbullying speech on social media Tiktok with a case study of the 2024 General Election, specifications for the Presidential and Vice Presidential Election for the period 2024-2029 found 15 evidence of language having a legal impact, namely palak ayahkau, Anies cukimai, stupid, melehoy, Mbah Wowo & Samsul, belegug, otak kosong, bacot, Ganjar bokep, Rohingya President, selling satay, tuelek, tuek, and cocot are connected in every profile. Based on the results for this research prove that cyber-bullying is often used by Tiktok social media users to attack and insult presidential and vice presidential candidates in the 2024 elections.
Cut-off values of one-minute sit-to-stand test for determining physical performance in mild-post-COVID-19 individuals
Authors: Srithawong Arunrat , Poncumhak Puttipong , Promsrisuk Tichanon , Amput Patchareeya 
Published: October 2024

Background This study aims to establish cutoff values for the one-minute sit-to-stand test (1STST) to predict physical performance in mild-post- coronavirus disease 2019 (COVID-19) individuals and to compare the 1STST with the 6-minute walk test (6MWT) in assessing hemodynamic response and to explore the correlation between 1STST, 6MWT, and muscle strength, including leg and respiratory muscle strength. Methods A cross-sectional study of 93 participants with mild post-COVID-19 symptoms was conducted. Sociodemographic and anthropometric data were collected, and pulmonary function, as well as respiratory and quadriceps muscle strength, were evaluated. Functional capacity was assessed using the 6MWT and 1STST. Additionally, hemodynamic responses, fatigue, and dyspnea were measured before and after each test. Results The cutoff for the 1STST in mild post-COVID-19 individuals was ≥29 repetitions, with an AUC of 0.84, sensitivity of 80.52%, and specificity of 75.00%. The 1STST resulted in higher heart rate, systolic blood pressure, and dyspnea compared to the 6MWT, and showed a significant moderate correlation with the 6MWT (r = 0.532, p < 0.0001) and weak correlations with leg strength and respiratory muscle strength. Conclusion A cutoff of less than 29 repetitions on the 1STST indicates functional impairment in mild post-COVID-19 cases, as it induces greater physiological stress than the 6MWT and correlates with muscle strength, making it crucial for rehabilitation assessment.
Postmarketing Surveillance: Review of Open Sources of Drug Safety Data
Authors: Shubnikova E. V. 
Published: October 2024

INTRODUCTION. Postmarketing surveillance is the main mechanism to monitor and evaluate the safety of drugs approved for widespread clinical use. This mechanism provides up-to-date information on adverse drug reactions and facilitates the implementation of necessary measures to prevent or minimize the risks associated with pharmacotherapy. Marketing authorization holders should regularly conduct searches for and analyses of drug safety data from all available sources. The lack of practical recommendations for selecting relevant information sources complicates the development of an optimal strategy for collecting drug safety data necessary for timely detection of changes in the safety profile of a drug that may affect the benefit–risk ratio.AIM. This study aimed to select the most appropriate methods for collecting drug safety information from the open sources used to monitor the safety profiles of approved drugs and assess their benefit–risk ratios.DISCUSSION. The main sources of new information on the safety of drugs include pharmacovigilance databases, websites of regulatory authorities, publications in medical scientific journals, and real-world clinical practice. According to the analysis results, the most widely used databases are the World Health Organization (WHO) VigiBase database, the European Union (EU) EudraVigilance database, and the United States Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS). This article also discusses the capabilities and interfaces of various applications for working with safety data, as well as the conditions for accessing databases. Additionally, the article provides detailed instructions on how to search for safety information on the websites of the European Medicines Agency (EMA) and FDA, which are considered to be the most reliable sources of information. Further, the article provides an overview of reputable medical journals most likely to publish articles on adverse drug reactions. In addition, the article covers bibliographic databases and search engines, which can simplify the search for scientific publications. Systematic monitoring of these sources can help marketing authorization holders to effectively assess the safety profiles and benefit–risk ratios of approved drugs.CONCLUSIONS. The use of recommended data sources can optimize the process of safety monitoring, significantly increase the identification rate for potential risks of pharmacotherapy, and facilitate the timely development of measures to prevent these risks. This, in turn, can contribute to improving the safety of patients and the quality of medical care.