bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nutritional education on health beliefs, metabolic profiles, and quality of life among high-risk pregnant women for gestational diabetes mellitus: a randomized controlled trial
Authors: Sharifat Robab , Borazjani Fatemeh , Araban Marzieh , Pakpour Amir H. , Angali Kambiz Ahmadi , Aiiashi Saleh 
Published: November 2024

AbstractIn recent years, nutrition has become increasingly important in treating and managing gestational diabetes mellitus. The Health Belief Model (HBM) is a conceptual framework in health behavior research used in some medical research. The present study aimed to evaluate the effect of glycemic index training based on the HBM on metabolic indicators and pregnant women’s health-related quality of life. In this open-label, parallel-controlled randomized trial, 90 pregnant women from primary health centers in Iran were recruited and randomly assigned to either the intervention group or the control group, using a block randomization method with a block size of six. The intervention group underwent 12 weeks of nutritional education on the glycemic index and load of foodstuff. The control group only received routine health care. Valid and reliable questionnaires included demographic and prenatal information, physical activity, three days of food records, quality of life (SF-12), and HBM constructs. Fasting blood samples were taken at baseline and end of the study, to assess fasting blood glucose (FBS), fasting insulin, hs-CRP, and lipids. Eighty-four pregnant women with an age mean of 30.12 ± 4.35 completed 12 weeks of intervention. At baseline, there were no significant differences between groups in the HBM subscales (P > 0.05). However, within the intervention group, there was an increase in perceived susceptibilities (mean change 1.45 ± 4.21; P = 0.03) and cue to action (mean change: 1.22 ± 3.38; P = 0.02). In the adjusted model, the General Health subscale of Quality of Life showed a significant increase in the comparison between groups (mean change 13.69 ± 29.83 vs. 0.00 ± 29.58; P = 0.04). Additionally, the adjusted model revealed a notable difference between the groups in serum hs-CRP level, (mean change -0.877 ± 3.47 vs. -0.067 ± 3.40; P = 0.01) and triglyceride level (mean change − 55.24 ± 111.21 vs. 40.92 ± 142.01; P = 0.001). However, in the adjusted model, the total cholesterol levels increased between groups (mean change 22.75 ± 66.17 vs. 30.12 ± 61.33; P = 0.01) at the end of the study. There was no significant difference in glycemic indices (P > 0.05). Participation in a nutrition education program might positively impact nutritional beliefs, behaviors, and some biochemical indicators among pregnant women. Future studies with larger sample sizes and longer follow-ups are warranted.Trial registration number: IRCTID: IRCT20190227042858N1. Registration date: 2019-07-18.
Accuracy and reliability of accelerometer-based pedometers in step counts during walking, running, and stair climbing in different locations of attachment
Authors: Pan Jiahao , Wei Shutao 
Published: November 2024

AbstractThis study aimed to investigate the accuracy and reliability of accelerometer-based pedometers placed on the wrist, waist, and shoe’s midsole during walking, running, and stair climbing. Twenty healthy adults were recruited. Steps were recorded by the pedometers and visually assessed from simultaneously recorded video to evaluate the accuracy of each pedometer in different locations of attachment. One week later, steps were recorded again by the pedometers only to evaluate the reliability of each pedometer in different locations of attachment. The wrist-worn pedometer presented significantly greater error scores compared to the midsole-worn pedometer during walking (p < 0.001), running (p = 0.006), and stair climbing (p = 0.003). Additionally, mean absolute precent error and Bland-Altman plots indicated that the pedometer worn in the midsole was most accurate for running and stair climbing, followed by waist-worn and wrist-worn pedometers. Furthermore, the midsole-worn and waist-worn pedometers showed strong reliability during walking and running, but only the midsole-worn pedometer presented acceptable reliability during stair climbing. The pedometer’s position impacts the accuracy and reliability of step counts, especially for walking and stair climbing. Embedding the pedometer into the midsole seems an effective approach to improve the accuracy and reliability of step counts.
Prone positioning is associated with increased insulin requirements in mechanically ventilated patients with COVID-19
Authors: Griffiths Harry , Cardwell Amy , Richardson Max , Barne Meg , Petrisor Bogdan , Usman Ammara , Heales Laura , Latorre Julia Calvo , Bansiya Vishakha , Mahroof Razeen , Szakmany Tamas , Martin Daniel , Rostron Anthony , Morris Andrew Conway , Lockhart Sam 
Published: November 2024

AbstractStress hyperglycaemia is common in critical illness. We have previously observed that increasing severity of respiratory failure in patients with severe COVID-19 is associated with increased insulin demand. Given previously reported direct effects of hypoxia on insulin action, we reasoned that rapid improvements in oxygenation following prone positioning may improve insulin sensitivity and increase risk of hypoglycaemia. A retrospective multi-centre service evaluation comparing blood glucose and insulin administration in patients with COVID-19 pneumonitis receiving prone mechanical ventilation, comparing the 16 h pre-prone and 16 h post-prone time periods. 155 patients were included in this analysis. Oxygenation improved significantly following prone positioning (change in SpO2/FIO2 per hour prone: 3.01 ± 0.14, P < 0.0001). Glycaemic control was similar during the supine and prone study periods, and there were no hypoglycaemic events in the prone study period. Prone positioning was associated with an unexpected modest but significant increase in insulin requirements (mean difference in total insulin dose (IU): 8.32 ± 2.14, P < 0.001) that was robust to several sensitivity analyses, and could not be explained by changes in carbohydrate intake. We did not observe an increased rate of hypoglycaemia during prone ventilation and the adequacy of glycaemic control was comparable during the supine and prone study periods. Unexpectedly, prone ventilation was associated with an increase in insulin requirements despite significant improvement in hypoxaemia. Our findings support the safety of prone ventilation with respect to glycaemic control and identify a novel relationship between ventilation position and insulin requirements in critical illness.
Lineup position affects guessing-based selection but not culprit-presence detection in simultaneous and sequential lineups
Authors: Mayer Carolin , Bell Raoul , Menne Nicola Marie , Buchner Axel 
Published: November 2024

AbstractThe two-high threshold eyewitness identification model was applied to investigate the effects of lineup position on the latent cognitive processes underlying eyewitness responses in lineups. In two experiments with large sample sizes and random assignment of culprits and innocent suspects to all possible lineup positions, we examined how detection-based and non-detection-based processes vary across the positions of six-person photo lineups. Experiment 1 (N = 2586) served to investigate position effects in simultaneous lineups in which all photos were presented in a single row. Experiment 2 (N = 2581) was focused on sequential lineups. In both experiments, lineup position had no effect on the detection of the presence of the culprit. Guessing-based selection, in contrast, differed as a function of lineup position. Specifically, a lineup member placed in the first position in a lineup was significantly more likely to be selected based on guessing than lineup members placed in other positions. These results justify the practice of avoiding to place the suspect in the first position in a lineup, as this placement increases the suspect’s chance of being selected based on guessing.
Motion-induced blindness shows spatial anisotropies in conscious perception
Authors: Sárközy András , Robinson Jonathan E. , Kovács Gyula 
Published: November 2024

AbstractPolar angle asymmetries (PAAs), the differences in perceptual experiences and performance across different regions of the visual field are present in various paradigms and tasks of visual perception. Currently, research in this area is sparse, particularly regarding the influence of PAAs during perceptual illusions, highlighting a gap in visual cognition studies. We aim to fill this gap by measuring PAAs across the visual field during an illusion applied to test conscious vision widely. Motion-induced blindness (MIB) is an illusion when a peripheral target disappears from consciousness as the result of a continuously moving background pattern. During MIB we separately measured the average disappearance time of peripheral targets in eight equidistant visual field positions. Our results indicate a significant variation in MIB disappearance times and frequencies as a function of target location. Specifically, we found shorter and fewer disappearances along the cardinal compared to oblique directions, and along the horizontal compared to the vertical meridian. Our results suggest specific consistencies between visual field asymmetries and conscious visual perception.
Liver transcriptomics-metabolomics integration reveals biological pathways associated with fetal programming in beef cattle
Authors: Polizel Guilherme Henrique Gebim , Fanalli Simara Larissa , Diniz Wellison J. S. , Cesar Aline Silva Mello , Cônsolo Nara Regina Brandão , Fukumasu Heidge , Cánovas Angela , Fernandes Arícia Christofaro , Prati Barbara Carolina Teixeira , Furlan Édison , Pombo Gabriela do Vale , Santana Miguel Henrique de Almeida 
Published: November 2024

Abstract
We investigated the long-term effects of prenatal nutrition on pre-slaughter Nelore bulls using integrative transcriptome and metabolome analyses of liver tissue. Three prenatal nutritional treatments were administered to 126 cows: NP (control, mineral supplementation only), PP (protein-energy supplementation in the third trimester), and FP (protein-energy supplementation throughout pregnancy). Liver samples from 22.5 ± 1-month-old bulls underwent RNA-Seq and targeted metabolomics. Weighted correlation network analysis (WGCNA) identified treatment-associated gene and metabolite co-expression modules, further analyzed using MetaboAnalyst 6.0 (metabolite over-representation analysis and transcriptome-metabolome integrative analysis) and Enrichr (gene over-representation analysis). We identified several significant gene and metabolite modules, as well as hub components associated with energy, protein and oxidative metabolism, regulatory mechanisms, epigenetics, and immune function. The NP transcriptome-metabolome analysis identified key pathways (aminoacyl t-RNA biosynthesis, gluconeogenesis, and PPAR signaling) and hub components (glutamic acid, SLC6A14). PP highlighted pathways (arginine and proline metabolism, TGF-beta signaling, glyoxylate and dicarboxylate metabolism) with arginine and ODC1 as hub components. This study highlights the significant impact of prenatal nutrition on the liver tissue of Nelore bulls, shedding light on critical metabolic pathways and hub components related to energy and protein metabolism, as well as immune system and epigenetics.
A statistical mechanics investigation of unfolded protein response across organisms
Authors: Luchetti Nicole , Smith Keith M. , Matarrese Margherita A. G. , Loppini Alessandro , Filippi Simonetta , Chiodo Letizia 
Published: November 2024

AbstractLiving systems rely on coordinated molecular interactions, especially those related to gene expression and protein activity. The Unfolded Protein Response is a crucial mechanism in eukaryotic cells, activated when unfolded proteins exceed a critical threshold. It maintains cell homeostasis by enhancing protein folding, initiating quality control, and activating degradation pathways when damage is irreversible. This response functions as a dynamic signaling network, with proteins as nodes and their interactions as edges. We analyze these protein-protein networks across different organisms to understand their intricate intra-cellular interactions and behaviors. In this work, analyzing twelve organisms, we assess how fundamental measures in network theory can individuate seed proteins and specific pathways across organisms. We employ network robustness to evaluate and compare the strength of the investigated protein-protein interaction networks, and the structural controllability of complex networks to find and compare the sets of driver nodes necessary to control the overall networks. We find that network measures are related to phylogenetics, and advanced network methods can identify main pathways of significance in the complete Unfolded Protein Response mechanism.
Facial Image expression recognition and prediction system
Authors: Talukder Animesh , Ghosh Surath 
Published: November 2024

AbstractFacial expression recognition system is an advanced technology that allows machines to recognize human emotions based on their facial expressions. In order to develop a robust prediction model, this research work proposes three distinct architectural models to produce a facial expression prediction system that looks like this: The first model is on using a support vector machine to carry out a classification task. As a follow-up to the second model, an attempt was made to create a Convolution Neural Network (CNN) using the VGG-NET (Visual Geometry Group Network). Following analysis of the results, an attempt was made to enhance the outcome using the third model, which used convolutional sequential layers linked to seven distinct expressions, and an inference was drawn based on loss and accuracy metric behavior. We will use a dataset of human picture facial images in this research, which has more than 35500 facial photographs and represents seven different types of facial expressions. We will analyze our data and make every effort to remove as much noise as we can before feeding that information to our model. We use the confusion matrix to assess the model’s performance after it has been implemented effectively. To demonstrate the effectiveness of our model architecture, we will generate bar graphs and scatter plots for each model to display model loss and accuracy. The output of this model is visualized with actual class and predictive class and the result has a graphical representation for each and every output facial Images which makes our recognition system user-friendly.
Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis
Authors: Strohl Joshua J. , Carrión Joseph , Huerta Patricio T. 
Published: November 2024

AbstractPositron emission tomography (PET) utilizes radiotracers like [18F]fluorodeoxyglucose (FDG) to measure brain activity in health and disease. Performing behavioral tasks between the FDG injection and the PET scan allows the FDG signal to reflect task-related brain networks. Building on this principle, we introduce an approach called behavioral task–associated PET (beta-PET) consisting of two scans: the first after a mouse is familiarized with a conditioning chamber, and the second upon recall of contextual threat. Associative threat conditioning occurs between scans. Beta-PET focuses on brain regions encoding threat memory (e.g., amygdala, prefrontal cortex) and contextual aspects (e.g., hippocampus, subiculum, entorhinal cortex). Our results show that beta-PET identifies a biologically defined network encoding contextual threat memory and its uncoupling in a mouse model of long sepsis. Moreover, machine learning algorithms (linear logistic regression) and ordinal trends analysis demonstrate that beta-PET robustly predicts the behavioral defense response and its breakdown during long sepsis.
A comparative study to elucidate factors explaining willingness to use home-care robots in Japan, Ireland, and Finland
Authors: Ide Hiroo , Suwa Sayuri , Akuta Yumi , Kodate Naonori , Tsujimura Mayuko , Ishimaru Mina , Shimamura Atsuko , Kitinoja Helli , Donnelly Sarah , Hallila Jaakko , Toivonen Marika , Bergman-Kärpijoki Camilla , Takahashi Erika , Yu Wenwei 
Published: November 2024

AbstractThe implementation of home-care robots is sometimes unsuccessful. This study aimed to explore factors explaining people’s willingness to use home-care robots, particularly among care recipients and caregivers. Surveys were conducted in Japan, Ireland, and Finland. The survey questionnaire comprised four categories (familiarity with robots, important points about home-care robots, functions expected from home-care robots, and ethically acceptable uses), with 48 items assessing users’ willingness to use home-care robots. The responses from 525 Japanese, 163 Irish, and 170 Finnish respondents were analyzed to identify common and distinct factors influencing their willingness to use these robots. Common factors across the countries included “willingness to participate in research and development,” “interest in robot-related news,” and “having a positive impression of robots”. The distinct factors for each country were: “convenience” in Japan; “notifying family members and support personnel when an unexpected change occurs in an older person” in Ireland; and “design” in Finland. Therefore, developers should determine potential users’ willingness to participate in the research and development of home-care robots and consider a system that involves them in the development process.
Single-cell transcriptomics reveals the molecular basis of human iPS cell differentiation into ectodermal ocular lineages
Authors: Howard Laura , Ishikawa Yuki , Katayama Tomohiko , Park Sung-Joon , Hill Matthew J. , Blake Derek J. , Nishida Kohji , Hayashi Ryuhei , Quantock Andrew J. 
Published: November 2024

AbstractThe generation of a self-formed, ectodermal, autonomous multi-zone (SEAM) from human induced pluripotent stem cells (hiPSCs) offers a unique perspective to study the dynamics of ocular cell differentiation over time. Here, by utilising single-cell transcriptomics, we have (i) identified, (ii) molecularly characterised and (iii) ascertained the developmental trajectories of ectodermally-derived ocular cell populations which emerge within SEAMs as they form. Our analysis reveals interdependency between tissues of the early eye and delineates the sequential formation and maturation of distinct cell types over a 12-week period. We demonstrate a progression from pluripotency through to tissue specification and differentiation which encompasses both surface ectodermal and neuroectodermal ocular lineages and the generation of iPSC-derived components of the developing cornea, conjunctiva, lens, and retina. Our findings not only advance the understanding of ocular development in a stem cell-based system of human origin, but also establish a robust methodological paradigm for exploring cellular and molecular dynamics during SEAM formation at single-cell resolution and highlight the potential of hiPSC-derived systems as powerful platforms for modelling human eye development and disease.
Interferon signalling and non-canonical inflammasome activation promote host protection against multidrug-resistant Acinetobacter baumannii
Authors: Li Fei-Ju , Starrs Lora , Mathur Anukriti , Enosi Tuipulotu Daniel , Man Si Ming , Burgio Gaetan 
Published: November 2024

AbstractMultidrug-resistant (MDR) Acinetobacter baumannii are of major concern worldwide due to their resistance to last resort carbapenem and polymyxin antibiotics. To develop an effective treatment strategy, it is critical to better understand how an A. baumannii MDR bacterium interacts with its mammalian host. Pattern-recognition receptors sense microbes, and activate the inflammasome pathway, leading to pro-inflammatory cytokine production and programmed cell death. Here, we examined the effects of a systemic MDR A. baumannii infection and found that MDR A. baumannii activate the NLRP3 inflammasome complex predominantly via the non-canonical caspase-11-dependent pathway. We show that caspase-1 and caspase-11-deficient mice are protected from a virulent MDR A. baumannii strain by maintaining a balance between protective and deleterious inflammation. Caspase-11-deficient mice also compromise between effector cell recruitment, phagocytosis, and programmed cell death in the lung during infection. Importantly, we found that cytosolic immunity - mediated by guanylate-binding protein 1 (GBP1) and type I interferon signalling - orchestrates caspase-11-dependent inflammasome activation. Together, our results suggest that non-canonical inflammasome activation via the (Interferon) IFN pathway plays a critical role in the host response against MDR A. baumannii infection.
Dynamic processes determine precipitation variability in Eastern Central Europe since the Last Glacial Maximum
Authors: Warken Sophie F. , Riechelmann Dana F. C. , Fohlmeister Jens , Schröder-Ritzrau Andrea , Frank Norbert , Scholz Denis , Jochum Klaus P. , Mirea Ionuț-Cornel , Constantin Silviu , Spötl Christoph 
Published: November 2024

AbstractThe response of European precipitation variability to climate change is still poorly understood. Here we present a high-resolution speleothem record of Eastern Central European (ECE) autumn/winter precipitation to study decadal to centennial hydroclimatic variations in the European-Atlantic sector since the Last Glacial Maximum. The Cloşani Cave δ18O record shows that the reorganization of the North Atlantic jet following the demise of the Northern Hemispheric ice sheets lasted until c. 6000 to 5000 years before present. Trace element-derived semi-quantitative autumn/winter precipitation amount reveals that the late Glacial and the early to mid-Holocene experienced about 20–30% higher precipitation than present. During the deglaciation, we detect an increased decadal to centennial precipitation variability decoupled from millennial-scale North Atlantic temperature changes. The findings suggest that dynamic (rather than thermodynamic) processes determine regional precipitation variability and the probability of extreme precipitation events in ECE, highlighting the importance of understanding such dynamics for future predictions.
An automatic detection method for cervical liquid‐based cells based on improved Yolov5s network
Authors: Xudong Shen , Zhihua Wu , Yebo Tao , Xianglian Wu , Linfei Chen 
Published: November 2024

AbstractTo address the significant challenges of high false positive and false negative rates in existing algorithms for detecting cervical fluid‐based cells, an enhanced Yolov5s network is introduced. This paper details a novel approach that dynamically adjusts the weights of channels and the spatial attention in modules, substantially improving feature extraction from small objects and boosting the detection capabilities of the network. Furthermore, Mixup data augmentation technology is incorporated to counter the issue of imbalanced data categories in the custom dataset. The Complete Intersection over Union loss function is also employed to refine coordinate localization accuracy during training. Tested on the proprietary cervical cytology dataset, the modified Yolov5s achieves a mean Average Precision of 92.1%, surpassing the previous state‐of‐the‐art by 5.6%. This enhancement substantiates the efficacy of the proposed model. Code and models are accessible at https://github.com/youyi888/yolov5_CPCA.