bluuebunny/crossref_metadata_2025_split huggingface dataset:
Heat stress affects dairy cow health status through blood oxygen availability
Authors: Zeng Jia , Cai Jie , Wang Diming , Liu Hongyun , Sun Huizeng , Liu Jianxin 
Published: September 2023

Abstract
Background
Rises in global warming and extreme weather occurrence make the risk of heat stress (HS) induced by high ambient temperatures more likely in high-yielding dairy cows, resulting in low milk quality and yield. In animals, oxygen is involved in many physiological and metabolic processes, but the effects of HS on oxygen metabolism remain unclear. Thus, the current study aimed to investigate how oxygen metabolism plays a role in health status of dairy cows by measuring the milk yield, milk composition, and blood biochemical variables of cows under different levels of HS: none (No-HS), mild (Mild-HS), and moderate HS (Mod-HS).

Results
The HS significantly increased rectal temperature (Ptreat < 0.01) and respiration rate (Ptreat < 0.01). Under Mod-HS, greater Na+ (P < 0.05) and lower total CO2, and pH (P < 0.05) were observed relative to those under No-HS and Mild-HS. Oxygen concentrations in both coccygeal artery and mammary vein (Ptreat < 0.01) were lower under Mod-HS than under No-HS. Coccygeal vein concentrations of heat shock protein 90 (HSP90) (P < 0.05) increased during Mod-HS compared with those in cows under No-HS. Malondialdehyde increased during Mod-HS, and glutathione peroxidase (P < 0.01) increased during Mild-HS. Coccygeal vein concentrations of vascular endothelial growth factor (P < 0.01), heme oxygenase-1 (P < 0.01), and hypoxia-inducible factor 1α (P < 0.01) were greater in cows under Mod-HS than those under No-HS. Red blood cell count (P < 0.01) and hemoglobin concentration (P < 0.01) were lower in the coccygeal vein of dairy cows under Mild- and Mod-HS than those of cows under No-HS.

Conclusions
Exposure to HS negatively impacts the health status and lactation performance of dairy cows by limiting oxygen metabolism and transportation. However, the specific mechanism by which HS affects mammary function in cows remains unclear and requires further exploration.
The upper respiratory tract microbiota of healthy adults is affected by Streptococcus pneumoniae carriage, smoking habits, and contact with children
Authors: Paulo A. Cristina , Lança João , Almeida Sónia T. , Hilty Markus , Sá-Leão Raquel 
Published: September 2023

Abstract
Background
The microbiota of the upper respiratory tract is increasingly recognized as a gatekeeper of respiratory health. Despite this, the microbiota of healthy adults remains understudied. To address this gap, we investigated the composition of the nasopharyngeal and oropharyngeal microbiota of healthy adults, focusing on the effect of Streptococcus pneumoniae carriage, smoking habits, and contact with children.

Results
Differential abundance analysis indicated that the microbiota of the oropharynx was significantly different from that of the nasopharynx (P < 0.001) and highly discriminated by a balance between the classes Negativicutes and Bacilli (AUC of 0.979). Moreover, the oropharynx was associated with a more homogeneous microbiota across individuals, with just two vs. five clusters identified in the nasopharynx. We observed a shift in the nasopharyngeal microbiota of carriers vs. noncarriers with an increased relative abundance of Streptococcus, which summed up to 30% vs. 10% in noncarriers and was not mirrored in the oropharynx. The oropharyngeal microbiota of smokers had a lower diversity than the microbiota of nonsmokers, while no differences were observed in the nasopharyngeal microbiota. In particular, the microbiota of smokers, compared with nonsmokers, was enriched (on average 16-fold) in potential pathogenic taxa involved in periodontal diseases of the genera Bacillus and Burkholderia previously identified in metagenomic studies of cigarettes. The microbiota of adults with contact with children resembled the microbiota of children. Specifically, the nasopharyngeal microbiota of these adults had, on average, an eightfold increase in relative abundance in Streptococcus sp., Moraxella catarrhalis, and Haemophilus influenzae, pathobionts known to colonize the children’s upper respiratory tract, and a fourfold decrease in Staphylococcus aureus and Staphylococcus lugdunensis.

Conclusions
Our study showed that, in adults, the presence of S. pneumoniae in the nasopharynx is associated with a shift in the microbiota and dominance of the Streptococcus genus. Furthermore, we observed that smoking habits are associated with an increase in bacterial genera commonly linked to periodontal diseases. Interestingly, our research also revealed that adults who have regular contact with children have a microbiota enriched in pathobionts frequently carried by children. These findings collectively contribute to a deeper understanding of how various factors influence the upper respiratory tract microbiota in adults.
Want-to, have-to, amotivation, grit, self-control, and tolerance ambiguity among university students: latent profile analysis
Authors: Alhadabi Amal , Al-Harthy Ibrahim , Aldhafri Said , Alkharusi Hussain 
Published: September 2023

AbstractThe current study adopted a person-centered approach to identify distinctive university students’ profiles based on three variables (i.e., three academic motivations, grit, and self-control), regress multiple covariates (i.e., gender, age, study level, and college) on profile membership, and estimate differences on ambiguity tolerance across the estimated profiles. Data on 525 university students were modeled using Latent Profile Analysis. The findings found three latent profiles, which were: [1] Unmotivated and undisciplined students with low grit, [2] Moderately motivated and disciplined students with average grit, and [3] Highly motivated, gritty and disciplined students. Gender, study level, and college significantly predicted profile affiliation, identifying the characteristics of students within each profile. Significant differences were revealed in the ambiguity tolerance among the obtained profiles. These valuable results offer customized recommendations and prospective initiatives, strengthening the constructive effect of proper academic motivation types, purposeful grit, and intentional self-control (143 words).
Process options for the recovery of a pentosan-enriched fraction from wheat-based bioethanol thin stillage
Authors: Zimmermann Andreas , Scherzinger Marvin , Kaltschmitt Martin 
Published: September 2023

Abstract
Aim
Stillage, the main residue from cereal-based bioethanol production, offers a great potential for the recovery of pentosan-type carbohydrates. Therefore, potential process options for the recovery of pentosans from bioethanol thin stillage are investigated and their basic feasibility is demonstrated on a laboratory scale.

Findings
The main result of this work is the development of a three-stage process for pentosan recovery, including solid–liquid separation, pentosan solubilisation and purification. The pentosan content of the thin stillage used here was determined to be about 14% related to dry matter (DM). By means of solid–liquid separation, these pentosans accumulate in the liquid phase (up to 80%), while the remainder (about 20%) is found in the solid phase. Solubilisation of these insoluble pentosans was achieved by using either a hydrothermal, an alkaline or an enzymatic treatment. Here, the results indicate a maximum solubilisation yield of 90% with a hydrothermal treatment using liquid hot water at 180 °C. Ultrafiltration and precipitation are investigated for purification. The most promising process option in this study is solid–liquid separation followed by ultrafiltration. In this case, the total pentosan yield is assessed to be about 48% (based on thin stillage) with a final pentosan concentration of about 30%DM.

Graphical Abstract
Effect of eccentric loads on the behavior of circular footing with/without skirts resting on sand soil
Authors: Basha Ali M. , Eldisouky Esraa A. 
Published: September 2023

AbstractThe stability of circular footings under eccentric vertical loads is a significant problem in geotechnical engineering. Therefore, this paper shows the results of experimental tests carried out on an eccentrically loaded circular foundation on sand soil. The focus of this research is on examining how eccentric loads affect the behavior of circular footings on sand soil, both with and without skirts. Various load eccentricities (e) equals zero, 2.50, 5.00, 7.50, 10.00, 12.50, 15.00, 17.50 and 20.00 mm are used. In addition to, a 60 mm-diameter circular foundation and sand with an 85% relative density (Dr) are used in this experimental study. To study the effect of changing the skirts depth on the load-settlement response skirts with different depths (h) = 60 mm, 150 mm, 240 mm are used for vertical reinforcement. In comparison to the unreinforced condition, test findings show an improvement in ultimate bearing capacity. When the skirts are positioned at the ideal embedment depth L/D = 4, it is found that the circular footing's load-settlement behavior is enhanced by 92% and 93% in case of using (e/D) ratio = 0.125 and 0.25 compared to the unreinforced case.
A convolutional neural network to detect possible hidden data in spatial domain images
Authors: Ntivuguruzwa Jean De La Croix , Ahmad Tohari 
Published: September 2023

AbstractHiding secret data in digital multimedia has been essential to protect the data. Nevertheless, attackers with a steganalysis technique may break them. Existing steganalysis methods have good results with conventional Machine Learning (ML) techniques; however, the introduction of Convolutional Neural Network (CNN), a deep learning paradigm, achieved better performance over the previously proposed ML-based techniques. Though the existing CNN-based approaches yield good results, they present performance issues in classification accuracy and stability in the network training phase. This research proposes a new method with a CNN architecture to improve the hidden data detection accuracy and the training phase stability in spatial domain images. The proposed method comprises three phases: pre-processing, feature extraction, and classification. Firstly, in the pre-processing phase, we use spatial rich model filters to enhance the noise within images altered by data hiding; secondly, in the feature extraction phase, we use two-dimensional depthwise separable convolutions to improve the signal-to-noise and regular convolutions to model local features; and finally, in the classification, we use multi-scale average pooling for local features aggregation and representability enhancement regardless of the input size variation, followed by three fully connected layers to form the final feature maps that we transform into class probabilities using the softmax function. The results identify an improvement in the accuracy of the considered recent scheme ranging between 4.6 and 10.2% with reduced training time up to 30.81%.
Bioinformatic network analysis on the molecular interactions between Parkinson’s disease, alpha-synuclein, and infertility condition
Authors: Krishnan Velu , Patel Shivani S. , Shenoy Priyanka , Cottrell Jessica 
Published: September 2023

Abstract
Background
Parkinson’s disease (PD) is a neurodegenerative condition that is characterized by a progressive decline of neural pathways, and its pathology is associated with alpha-synuclein abnormalities. Currently, infertility affects about 10% of individuals of fertile age within the USA. Interestingly, an increased length of fertility is associated with a decreased incidence of PD. Our study utilized QIAGEN’s Ingenuity Pathway Analysis (IPA) to identify and analyze molecular pathways that affect the underlying connection between alpha-synuclein (SNCA)-associated Parkinson’s disease (PD) and infertility condition (IC). Furthermore, we explored nicotine’s potential as a therapeutic in preventing the exacerbation of IC in terms of SNCA.

Results
Although the connection between SNCA-related PD and IC is not well explored, the Qiagen Knowledge Base (QKB) showed an overlap of 12 distinct molecules between SNCA and IC. These molecular pathways were established by adding SNCA and IC to “Pathway Explorer” and establishing connections to distinct molecules including transcription regulators, cytokines, and other enzymes/proteins. The Molecule-Activity-Predictor (MAP) tool predicted that SNCA activation would lead to an exacerbation of PD and IC with the potential involvement of dihydrotestosterone (DHT) and caspases. Specifically, it was found that SNCA decreased MAPK8 expression, which led to a downstream upregulation of IC. Activation of nicotine within this overarching molecular network resulted in a downregulation in both PD pathology and IC.

Conclusions
Together, these findings reveal a possible connection between infertility condition and genes regularly associated with alpha-synuclein-related Parkinson’s disease while identifying nicotine as a potential therapeutic application.

Graphical Abstract
Recent trends in Helicobacter pylori management: harnessing the power of AI and other advanced approaches
Authors: Addissouky Tamer A. , Wang Yuliang , El Sayed Ibrahim El Tantawy , Baz Ayman El , Ali Majeed M. A. , Khalil Ahmed A. 
Published: September 2023

Abstract
Background
Helicobacter pylori (H. pylori) is a bacterial infection that is prevalent and affects more than half of the world's population, causing stomach disorders such as gastritis, peptic ulcer disease, and gastric cancer.

Main body
The diagnosis of H. pylori infection relies on invasive and non-invasive techniques emerging artificial intelligence, and antibiotic therapy is available, but antibiotic resistance is a growing concern. The development of a vaccine is crucial in preventing H. pylori-associated diseases, but it faces challenges due to the bacterium's variability and immune escape mechanisms. Despite the challenges, ongoing research into H. pylori's virulence factors and immune escape mechanisms, as well as the development of potential vaccine targets, provides hope for more effective management and prevention of H. pylori-associated diseases. Recent research on H. pylori's immune escape mechanisms and novel immune checkpoint inhibitors could also lead to biomarkers for early cancer detection. Therefore, experts have suggested a combination of traditional and herbal medicine with artificial intelligence to potentially eradicate H. pylori.

Short conclusion
H. pylori infection remains a significant global health problem, but ongoing research into its properties and advanced technologies in addition to the combination of traditional and herbal medicine with artificial intelligence may also lead to the eradication of H. pylori-associated diseases.

Graphical abstract
Más banderas que palabras: la comunicación no verbal de Bolsonaro en su discurso polarizador
Authors: Bayarri Toscano Gabriel , Colussi Juliana , Gomes-Franco e Silva Flávia , Arrufat-Martín Sandro 
Published: September 2023

En el presente artículo analizamos uno de los principales escenarios que Bolsonaro utilizó para comunicarse con sus bases durante toda su legislatura: los lives semanales en su cuenta oficial de Instagram. Así, estudiamos una muestra de diez lives, describiendo cómo su comunicación no verbal podía activar un proceso de humanización y aproximación del líder, normalizando formas de violencia y fortaleciendo la polarización política. La metodología empleada en el análisis se sustenta en la grounded theory, que sistematiza la investigación cualitativa a través de la construcción de hipótesis y teorías mediante la recolección y el análisis de datos. Este procedimiento de análisis propone una metodología inductiva que extrae las categorías de la comunicación no verbal a través de la descripción y clasificación del material y de las fuentes de datos por analizar. La contextualización e interpretación de los resultados se apoya en un trabajo etnográfico de campo durante la campaña electoral. Los resultados apuntan al uso de elementos amateurs en los videos que generan una aproximación de Bolsonaro con los ciudadanos, así como la inclusión de movimientos corporales que muestran su carisma como un líder imperfecto y del paralenguaje basado en el humor para la construcción de un personaje violento.
Analysis of early diagnosis methods for asymmetric dementia in brain MR images based on genetic medical technology
Authors: Zhang Xiao , Tang Ning , Yin Yanlin , Zhou Jian , Jiang Rui , Sheng Jinping , Zhu Jing 
Published: September 2023

Abstract
Alzheimer’s disease (AD) is a relatively common senile neurodegenerative disease and the main manifestation of senile dementia. In the pathological changes of AD, the asymmetry of the brain also changes. Therefore, finding an early diagnosis method of AD based on asymmetry is the key to the treatment of Alzheimer’s. Magnetic resonance (MR) imaging can quantitatively reflect the structural and functional changes of various tissues in the brain. It has the advantages of non-invasive, high spatial resolution, and non-radiation, and has been widely used in the early diagnosis of AD. In this work, asymmetric images were extracted from multiple brain MR images, and different morphological and texture features were extracted. By establishing a feature selection classification integration model, image features in the image were deeply fused to obtain higher and more stable recognition results than before. By filtering image samples, the corresponding sample feature matrix was obtained. Support vector machine was used for classification, and its classification accuracy had improved significantly compared with that before selection. In the experimental data of normal control group and AD group, the accuracy, sensitivity, and specificity of the feature selection algorithm were 93.34, 90.69, and 95.87%, respectively. In the normal control group and the mild cognitive impairment group, the accuracy, sensitivity, and specificity of the feature selection algorithm in this work were 85.31, 79.68, and 88.54%, respectively. On the whole, the classification accuracy of the feature selection algorithm in this work was much higher than that of other items. In addition, from the classification ability and distribution of asymmetric features, it can be seen that this asymmetric feature had a more significant consistent diagnostic role in clinical practice.
A successful vaginal birth after cesarean in a patient with uterine didelphys
Authors: Gobioff Samantha , Plakogiannis Michael , Grünebaum Amos 
Published: September 2023

Abstract

Objectives
With increasing rates of cesarean delivery across the United States, a trial of labor after cesarean (TOLAC) is a reasonable alternative for qualified candidates. Although Müllerian anomalies are associated with a variety of adverse pregnancy outcomes, there is little existing data regarding TOLAC in these patients. We present a case of a patient with a didelphys uterus who achieved a successful vaginal birth after cesarean section (VBAC) in the setting of labor augmentation.

Case presentation
Our patient is a 32-year-old G4P1021 (Gravida 4 Para 1,021–1 term delivery, 0 preterm deliveries, 2 abortions, 1 living offspring) who presented at 8 weeks of gestation with a known history of a didelphys uterus. Her obstetrical history was significant for a prior low-transverse cesarean section at term. All four of her pregnancies were located in the right uterine horn. At 39 weeks 3 days of gestation she presented in early labor and requested a TOLAC. She received an epidural, a cervical ripening balloon was placed, and she was started on pitocin. She pushed to deliver a viable infant. The patient’s postpartum course was uncomplicated, and she was discharged home on postpartum day two.

Conclusions
Müllerian anomalies are associated with several poor pregnancy outcomes including increased rates of PPROM, preterm delivery, FGR, and malpresentation necessitating a cesarean section. Our patient required augmentation of her labor but was ultimately able to achieve a successful VBAC with a healthy neonate. She represents an understudied population of patients with uterine anomalies who not only can have favorable pregnancy outcomes but may even be able to safely achieve a VBAC.
Power data integrity verification method based on chameleon authentication tree algorithm and missing tendency value
Authors: Liu Xin , Chang Yingxian , Zhang Hao , Zhang Fangzhe , Sun Lili 
Published: September 2023

Abstract
The power system operation and control data are from a wide range of sources. The relevant data acquisition equipment is disturbed by the complex electromagnetic environment on the power system operation and control lines, resulting in data errors and affecting the application and analysis of data. Therefore, a power data integrity verification method based on chameleon authentication tree algorithm and missing trend value is proposed. Get 2D data from different sensors and place it in the space environment. After data conversion, convert heterogeneous data into the same structure, expand the scope of power data acquisition, and conduct power system operation and control node layout and integrity data acquisition; The chameleon authentication tree algorithm is used to deal with the heterogeneous information of the power data, and the true value of the data is determined in the heterogeneous conflict of the power data at the same site; Query the integrity data based on the power system operation and control positioning node, creatively calculate the missing trend value of power data, evaluate the importance of data integrity, obtain the priority of power data integrity verification, and complete the integrity verification of power data. The experimental results show that the optimal clustering number is 9.05, the distribution coefficient is 16.30, the absolute error of validity analysis is 2.80, all test indicators are close to the preset standard, and the trend of the validation curve is close to the trend of the set demand covariance curve. Ensuring the integrity of power data and determining the important indicators of power lines are more conducive to the safe and stable operation of the power data center.
A modified rule of three for the one-sided binomial confidence interval
Authors: Turpin Lonnie , Patin Jeanne-Claire , Jens William , Turpin Morgan 
Published: September 2023

Abstract
Consider the one-sided binomial confidence interval

L
,
1

$\left(L,1\right)$

containing the unknown parameter p when all n trials are successful, and the significance level α to be five or one percent. We develop two functions (one for each level) that represent approximations within

α
/

3

$\alpha /\sqrt{3}$

of the exact lower-bound L = α
1/n
. Both the exponential (referred to as a modified rule of three) and the logarithmic function are shown to outperform the standard rule of three L ≃ 1 − 3/n over each of their respective ranges, that together encompass all sample sizes n ≥ 1. Specifically for the exponential, we find that

exp

−
3
/
n

$\mathrm{exp}\left(-3/n\right)$

is a better lower bound when α = 0.05 and n < 1054 and that

exp

−
4.6569
/
n

$\mathrm{exp}\left(-4.6569/n\right)$

is a better bound when α = 0.01 and n < 209.