bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-platform diagnostic strategy and biosecurity as basis of contagious agalactia control programs in endemic areas
Authors: De la Fe Christian , Grau Ana , Minguez Olga , Sánchez Antonio , Esquivel Rosario , Corrales Juan C. 
Published: January 2025

Abstract

Background
Control strategies against contagious agalactia (CA), considered one of the most important diseases affecting small ruminants in countries surrounding the Mediterranean, are mainly based on traditional strategies considered suboptimal such as the use of inactivated vaccines and antibiotics. This manuscript analysed the efficacy of an alternative non-mandatory official control programme based on a multi-platform diagnostic panel and biosecurity developed and started in 185 herds placed in a contagious agalactia endemic area of Spain, using the data of 74,080 samples collected and analysed during a 4 years-period (2018–2021).

Results
Globally, the combined analyses of bulk tank milk (BTM), ear or nasal swabs (in goats or sheep, respectively) and the serology to detect Mycoplasma agalactiae (Ma), allowed the detection of 40.54% of positive farms (n = 75), with Ma the species always detected in sheep (100%) and Mycoplasma mycoides subsp. capri (Mmc, 68,8%), Ma (29,3%) or both of them (1,9%) in goats. Taking into account productive aptitude and vaccination against CA, the use of BTM, ear or nasal swabs, and serology for herd classification demonstrated either a lack of concordance or only weak concordance. In herds that did not vaccinate, the classification of positives by male serology or swab detection showed moderate concordance. Vaccination against AC proved to be a protective factor against the occurrence of herds with bucks or rams testing positive.

Conclusions
Since the different diagnostic techniques are not interchangeable, it is necessary to apply a multi-platform diagnostic panel for the accurate classification of herds. Based on official classification, strict biosecurity standards, including the prohibition of the entry of animals with unknown health status, allowed the completion of the CA control program.
The GeoTox Package: open-source software for connecting spatiotemporal exposure to individual and population-level risk
Authors: Messier Kyle P. , Reif David M. , Marvel Skylar W. 
Published: January 2025

Abstract

Background
Comprehensive environmental risk characterization, encompassing physical, chemical, social, ecological, and lifestyle stressors, necessitates innovative approaches to handle the escalating complexity. This is especially true when considering individual and population-level diversity, where the myriad combinations of real-world exposures magnify the combinatoric challenges. The GeoTox framework offers a tractable solution by integrating geospatial exposure data from source-to-outcome in a series of modular, interconnected steps.

Results
Here, we introduce the GeoTox open-source R software package for characterizing the risk of perturbing molecular targets involved in adverse human health outcomes based on exposure to spatially-referenced stressor mixtures. We demonstrate its usage in building computational workflows that incorporate individual and population-level diversity. Our results demonstrate the applicability of GeoTox for individual and population-level risk assessment, highlighting its capacity to capture the complex interplay of environmental stressors on human health.

Conclusions
The GeoTox package represents a significant advancement in environmental risk characterization, providing modular software to facilitate the application and further development of the GeoTox framework for quantifying the relationship between environmental exposures and health outcomes. By integrating geospatial methods with cutting-edge exposure and toxicological frameworks, GeoTox offers a robust tool for assessing individual and population-level risks from environmental stressors. GeoTox is freely available at https://niehs.github.io/GeoTox/.
A privacy-enhanced framework with deep learning for botnet detection
Authors: Wu Guangli , Wang Xingyue 
Published: January 2025

Abstract
A botnet is a group of hijacked devices that conduct various cyberattacks, which is one of the most dangerous threats on the internet. Organizations or individuals use network traffic to mine botnet communication behavior features. Network traffic often contains individual users’ private information, such as website passwords, personally identifiable information, and communication content. Among the existing botnet detection methods, whether they extract deterministic traffic interaction features, use DNS traffic, or methods based on raw traffic bytes, these methods focus on the detection performance of the detection model and ignore possible privacy leaks. And most methods are combined with machine learning and deep learning technologies, which require a large amount of training data to obtain high-precision detection models. Therefore, preventing malicious persons from stealing data to infer privacy during the botnet detection process has become an issue worth pondering. Based on this problem, this article proposes a privacy-enhanced framework with deep learning for botnet detection. The goal of this framework is to learn a feature extractor. It can hide the private information that the attack model tries to infer from the intermediate anonymity features, while maximally retaining the interactive behavior features contained in the original traffic for botnet detection. We design a privacy confrontation algorithm based on a mutual information calculation mechanism. This algorithm simulates the game between the attacker trying to infer private information through the attack model and the data processor retaining the original content of the traffic to the maximum extent. In order to further ensure the privacy protection of the feature extractor during the training process, we train the feature extractor in the federated learning training mode. We extensively evaluate our approach, validating it on two public datasets and comparing it with existing methods. The results show that our method can effectively ensure detection accuracy on the basis of removing private information. For the CTU-13 dataset, the detection framework achieves the best detection performance; for the ISCX-2014 dataset, the accuracy of the framework is less than 1% lower than the best effect.
Deep learning application for stellar parameter determination: III-denoising procedure
Authors: Gebran Marwan , Bentley Ian , Brienza Rose , Paletou Frédéric 
Published: January 2025

Abstract
In this third article in a series, we investigate the need of spectra denoising for the derivation of stellar parameters. We have used two distinct datasets for this work. The first one contains spectra in the range of 4,450–5,400 Å at a resolution of 42,000, and the second in the range of 8,400–8,800 Å at a resolution of 11,500. We constructed two denoising techniques, an autoencoder, and a principal component analysis. Using random Gaussian noise added to synthetic spectra, we have trained a neural network to derive the stellar parameters

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, and [M/H] of the denoised spectra. We find that, independently of the denoising technique, the accuracy values of stellar parameters do not improve once we denoise the synthetic spectra. This is true with and without applying data augmentation to the stellar parameters neural network.
The influence of storing mineral wool on its thermal conductivity in an open space
Authors: Noszczyk Paweł , Schabowicz Krzysztof , Tunkiewicz Maria 
Published: January 2025

Abstract
In engineering practice, a common problem is the lack of space on the construction site for the proper storage of building materials. The consequence of this is that building materials are stored in open spaces, where they are exposed to external atmospheric factors. This study analyses the effect of storing mineral wool for 18 months under the external conditions of moderate climate occurring in Poland on its thermal conductivity. Thirty-five samples were non-destructively tested in terms of maintaining the thermal conductivity coefficient declared by the manufacturer. The tests were performed for material with a thickness of 50 and 80 mm, and the effect of wrapping pallets in foils in maintaining thermal conductivity was also examined. The thermal conductivity coefficient was measured in standard non-destructive tests using the FOX314 plate apparatus. Despite the impact of the external environment on the mineral wool for a period of 18 months, the tests confirmed that there was no significant effect of atmospheric conditions on the thermal conductivity coefficient. The measured parameter was within the limit values specified by the manufacturer and included in the technical data sheets of the products.
Relating production and perception in two Raglai dialects at different stages of registrogenesis
Authors: Đinh Lư Giang , Brunelle Marc , Tạ Thành Tấn 
Published: January 2025

Abstract
This paper explores the perception of two diachronically related and mutually intelligible phonological oppositions, the onset voicing contrast of Northern Raglai and the register contrast of Southern Raglai. It is the continuation of a previous acoustic study that revealed that Northern Raglai onset stops maintain a voicing distinction accompanied by weak formant and voice quality modulations on following vowels, while Southern Raglai has transphonologized this voicing contrast into a register contrast marked by vowel and voice quality distinctions. Our findings indicate that the two dialects partially differ in their use of identification cues, Northern Raglai listeners using both voicing and F1 as major cues while Southern Raglai listeners largely focus on F1. Production and perception are thus not perfectly aligned in Northern Raglai, because F1 plays a stronger role in perception than production in this dialect. We conclude that mutual intelligibility between dialects is possible because they both use F1 for identification.
ОЦЕНКА НЕСУЩЕЙ СПОСОБНОСТИ ТЮБИНГОВОЙ КРЕПИ ШАХТНОГО СТВОЛА В СОЛЯНЫХ ПОРОДАХ
Authors: ТАРАСОВ В.В. , АПТУКОВ В.Н. , ИВАНОВ О.В. , НИКОЛАЕВ П.В. 
Published: January 2025

Представлены результаты расчетов развития во времени напряженно-деформированного состояния системы “тюбинговая крепь - бетонная крепь - породный массив”, выполненные с помощью разработанной численной трехмерной модели. Верификация модели осуществлена на основе данных лазерного сканирования тюбинговой колонны двух стволов. Получены коэффициенты запаса прочности по предельным сжимающим напряжениям и деформациям. Сделаны рекомендации по применению тюбингов определенных размеров при использовании в стволах диаметром 7 и 8 м на разной глубине.
The article describes the calculated temporal development of the stress-strain behavior for the tubing support-concrete lining-rock mass using a finished 3D numerical model. The model passed verification with the help of laser scanning data on tubing support in two shafts. The factors of safety are obtained in terms of compressive stresses and strains. The authors make recommendations on using tubing of certain sizes in shafts 7 and 8 m in diameter at different depths.
ОПРЕДЕЛЕНИЕ ВЯЗКОСТИ ИЗМЕЛЬЧЕННЫХ МАТЕРИАЛОВ ПО РЕЗУЛЬТАТАМ ЭКСПЕРИМЕНТОВ НА ОДНООСНОЕ СЖАТИЕ
Authors: СТАРИКОВ Г.П. , МЕЛЬНИК Т.Н. , ШАТОХИН С.В. 
Published: January 2025

В качестве основы взяты теоретические модели Бриджмена и Фарбмана по определению вязкости порошков. Приведены результаты экспериментов по одноосному сжатию измельченных материалов. Даны примеры расчетов вязкости для угля, кварца, песчаника, песчаного сланца.
The framework of the research are Bridgmen’s and Farbman’s models for viscosity of powders. The article reports the uniaxial compression test data for ground materials. The authors give examples of calculation of viscosity for coal, quartz, sandstone and sandy shale.
ХАРАКТЕРИСТИКИ РАЗРУШЕНИЯ ПРИ СДВИГОВОЙ ПОЛЗУЧЕСТИ МЯГКИХ ТРЕЩИНОВАТЫХ ПОРОД
Authors: ЧЖАО Х. , ВАН Х. , ЛЮ Ш. , ЧЕН Х. , ЧЕН Ч. 
Published: January 2025

Установление механизма разрушения при сдвиговой ползучести мягких трещиноватых пород является крайне актуальным вопросом в горнотехнической инженерной практике. С помощью метода дискретных элементов построена численная модель мягких трещиноватых пород, которая имитирует сдвиговую ползучесть массива при различных значениях коэффициента шероховатости трещины (JRC), нормального напряжения и направления сдвига. Выполнен анализ влияния этих факторов на деформацию ползучести мягких пород. Результаты показали, что деформация ползучести значительно снижается при увеличении шероховатости трещины, а также при увеличении нормального напряжения. Влияние направления сдвига на деформацию ползучести относительно небольшое.
The shear creep failure mechanism of jointed soft rocks is a critical issue in geotechnical engineering. Using the discrete element method, a numerical model of jointed soft rocks was constructed to simulate shear creep under varying joint roughness, normal stress and shear directions. The effects of multiple factors on the creep deformation of soft rocks were then analyzed. Results indicate that the amount of creep deformation in soft rocks significantly decreases with an increase in joint roughness and with an increase in normal stress. However, the influence of shear direction on creep deformation is relatively minor. This study lays a foundation for further research into the creep behavior of soft rocks.
Detection of Persistence of Foot and Mouth Disease Virus in Local and Crossbred Cattle of Assam
Authors: Brahma Derhasar , Sharma Krishna , Barman Nagendra N. , Borah Probodh , Sharma Rajeev Kumar , Deka Pankaj , Borah Biswajyoti , Doley Monuj K. , Hazarika Ritam 
Published: January 2025

Background: This study aimed to investigate the persistence of Foot-and-Mouth Disease Virus (FMDV) in clinically recovered cattle following an outbreak, focusing on both local indigenous breeds (Lakhimi) and crossbred cattle (Holstein Friesian-cross) in Assam.
Methods: A total of 129 cattle (36 local and 93 crossbred), clinically recovered from FMD, were included in the study. Oropharyngeal fluid (OPF) samples (n=178) were collected at various intervals post-recovery. FMDV detection was carried out using three molecular diagnostic techniques: Multiplex PCR, reverse transcription loop-mediated isothermal amplification (RT-LAMP) and SYBR Green real-time PCR, all targeting the FMDV 3D gene.
Result: FMDV was detected in 38 samples (21.35%) by multiplex PCR, 47 samples (26.40%) by RT-LAMP and 49 samples (27.53%) by SYBR Green real-time PCR. While all three methods showed comparable diagnostic accuracy, real-time PCR proved to be the most sensitive, rapid, reliable and cost-effective technique. FMDV persistence was observed in 24.81% (32/129) of cattle up to the 1st month post-recovery, 11.63% (15/129) up to the 3rd month and 1.55% (2/129) up to the 6th month. Local non-vaccinated Lakhimi cattle exhibited higher rates of viral persistence for serotype O, with 33.33% (12/36), 22.22% (8/36) and 5.55% (2/36) showing persistence at the 1st, 3rd and 6th months post-recovery, respectively. In contrast, vaccinated Holstein Friesian-cross cattle, demonstrated lower persistence rates, with 19.23% for Serotype A and 22.39% for Serotype O at the 1st month and 10.45% for Serotype O at the 3rd month post-recovery. Importantly, no transmission of the virus to healthy in-contact animals was detected during the study period.
Statistical analysis (P=0.23, Chi-square=5.57) revealed no significant difference in viral persistence between local and crossbred cattle, suggesting that factors beyond vaccination status might influence FMDV persistence. However, the findings underscore the critical role of vaccination in reducing viral persistence in recovered cattle.
PEDAGOGIA HISTÓRICO-CRÍTICA E A EDUCAÇÃO ESCOLAR PÚBLICA: CONCEPÇÃO E INDICAÇÕES DE PRÁTICAS FORMATIVAS CONTRA-HEGEMÔNICAS
Authors: Chioca Ipolito Juliana , De Carvalho Roberto Francisco 
Published: January 2025

Este artigo é resultado das reflexões suscitadas pelos estudos realizados no curso de extensão Grupo de Estudos da Pedagogia Histórico-crítica (PHC). Esta atividade foi desenvolvida em parceria com a Unioeste com o objetivo de realizar um estudo coletivo acerca da Pedagogia Histórico-crítica (PHC) no âmbito do Grupo de Pesquisa Práxis Socioeducativa e Cultural da Universidade Federal do Tocantins, no decorrer do ano de 2024. Foram realizados oito encontros de forma híbrida, para que contemplassem a participação dos integrantes do interior do estado do Tocantins. Os textos discutidos suscitaram questões relevantes acerca de diversas temáticas, principalmente do cotidiano escolar, dos métodos pedagógicos e das políticas educacionais, resultando em novas propostas de pesquisa dos integrantes do grupo.
Efetividade da formação online de professores: um estudo no Programa de Formação em Tecnologias Digitais da Universidade Federal do Recôncavo da Bahia -UFRB
Authors: Almeida José Raimundo Paim de , Espirito Santo Eniel do 
Published: January 2025

Com a chegada da pandemia de COVID-19, provocada pelo coronavírus SARS-CoV-2, a educação foi arremessada aos ambientes virtuais de aprendizagem e, dessa forma, exigindo das instituições de ensino e dos professores ações de formação para as tecnologias digitais compatíveis com o cenário apresentado, isto é, uma formação com efetividade imbricada com as Tecnologias Digitais da Informação e Comunicação (TDIC) e com os desafios de ensino totalmente online. Este estudo visa caracterizar a efetividade no trabalho docente das ações formativas promovidas no Programa de Extensão Formação em Tecnologias Digitais da UFRB, realizado online no início da pandemia de COVID-19. Trata-se de uma pesquisa com abordagem mista, isto é, qualitativa e quantitativa do tipo exploratória e descritiva, sendo caracterizado como um estudo transversal, com aplicação de questionário preenchido por 71 docentes participantes do programa formativo. Os resultados revelaram efetividade na formação docente após realização do(s)curso(s) do Programa de Extensão Formação em Tecnologias Digitais para Comunidade UFRB. Concluímos que houve um impacto significativo no trabalho docente dos 71 professores respondentes em relação aos cursos ofertados pelo Programa, mas a Instituição precisa, com urgência, continuar e ampliar a oferta dos cursos para todos os professores, visto que eles já não são totalmente iniciantes no uso das tecnologias e, após vivenciado a implementação das tecnologias digitais no período pandêmico, apresentam outras necessidades específicas, como exemplo, maior domínio sobre avaliação da aprendizagem no ensino digital e uso de outras metodologias ativas. Destarte, percebemos a excelente receptividade dos cursos na formação dos docentes da UFRB no período inicial da pandemia de COVID-19, contudo, podem ser mais ampliados no sentido de promover uma educação crítica e emancipatória nos espaços digitais.
Iodized salt has large impacts on child health and test scores in Ethiopia
Authors: Alemu Robel , Tafere Kibrom , Gashu Dawd , Joy Edward , Bailey Elizabeth , Lark Richard , Broadley Martin , Masters William 
Published: January 2025

Abstract

This study quantifies the impact of iodized salt on child survival and academic achievement based on sudden nationwide changes in access to iodized salt, given naturally occurring geographic variation in iodine. We combine data on birth timing and test scores on national school-leaving exams from 2003 to 2019 with child health surveys and newly collected measures of soil and grain iodine concentrations, finding that children with longer exposure to iodized salt in utero and infancy during the 1990s went on to have lower mortality and higher scores, especially in places with less iodine in locally grown food. Among children with the longest exposure, our main estimates show a national average test score gain of 0.09 standard deviations from widespread iodization, with an additional gain of 0.08 standard deviations for each standard deviation reduction in soil iodine. Placebo tests confirm that effects are specific to iodine (vs. selenium) and specific to cognition and survival (vs. height and weight, which are not affected by iodine deficiency). This provides the first large-scale evidence of how educational achievement is affected by national salt iodization programs recommended by the World Health Organization but not yet universally implemented.
The Quality of Life Breast Cancer Patients Receiving Chemotherapy and The Factors Affecting It in a Regional Hospital in Gianyar
Authors: Yuliawati Agustina Nila , Dewanti Ni Putu Natasya , Ratnasari Pande Made Desy 
Published: January 2025

The effects of breast cancer and chemotherapy can impact the quality of life (QOL) of patients. However, QOL can also be influenced by various characteristics directly related to them. This study aimed to analyze the QOL of breast cancer patients undergoing chemotherapy and the factors that can affect it. It was cross-sectional study conducted at a hospital in Gianyar, Bali in May-June 2024, with a sample of 135 breast cancer patients undergoing chemotherapy, selected using the purposive sampling method. The inclusion criteria required patients to have complete medical records and to agree to participate in the study, while those who did not fully complete the questionnaire were excluded. The research instrument used the EORTC QLQ C-30 and EORTC QLQ BR-23 questionnaires to assess QOL, as well as data collection sheets for personal and clinical information. Data were analyzed using Spearman's rho test, Eta test, and Mann-Whitney U-test, (CI 95%). Findings showed the majority of the respondents were <60 years old (84.4%), female (100.0%), had completed elementary school (46.7%), were employed (56.2%), lived far from health facilities (75.6%), had stage 2 cancer (48.1%), received treatment >3 times per month (51.9%), had no comorbidities (96.3%), underwent a combination of injection and oral chemotherapy (37.8%), and had an average QOL score of 93.2±8.9. Type of chemotherapy and comorbidities correlated with the QOL of the patients (p<0.001), while sociodemographic characteristics did not. Positive support from health workers, family, and the patient's environment was suspected to contribute to a good QOL.
Back Fat Thickness, Body Condition Score and Rib Eye Muscle Area of Young Sheep Fed with Carica Dieng Seeds Based on Ultrasonography
Authors: Tunggadewi Faustina Helene , Idayanti Rahma Wulan , Purnomoadi Agung , Arifin Mukh , Purbowati Endang 
Published: January 2025

A study to compare the back fat thickness, rib eye muscle area, and body condition score (BCS) of young thin-tailed lambs fed various levels of carica Dieng seeds in rations. Eighteen male lambs aged 3-4 months with an initial body weight of 10.68 ± 1.30 kg were applied three feeding treatments (T) following a completely randomized design, T1 = complete feed containing 5% carica seeds, T2 = complete feed containing 12.5% carica seeds, and T3 = complete feed containing 20% carica seeds, with six replications each. At the end of 14 weeks of feeding treatment, back fat thickness and rib eye muscle area were measured using the Digital Veterinary Ultrasound Imaging System CTS-800. Yield grade value was determined using back fat thickness data, while the BCS assessment was carried out visually. The results showed that various levels of carica seeds addition to complete feed did not produce significant differences (P>0.05) in all variables measured. Back fat thickness, BCS, and rib eye muscle area in young thin-tailed sheep were 1.46 mm, 3.06, and 15.52 cm2, respectively. It might be concluded that supplementation of carica Dieng seeds up to 20% in the complete feed can still be utilized by young thin-tailed sheep.