bluuebunny/crossref_metadata_2025_split huggingface dataset:
Delta Radiomics Analysis for Prediction of Intermediary- and High-Risk Factors for Patients with Locally Advanced Cervical Cancer Receiving Neoadjuvant Therapy
Authors: Wu Rong-Rong , Zhou Yi-Ming , Xie Xing-Yun , Chen Jin-Yang , Quan Ke-Run , Wei Yu-Ting , Xia Xiao-Yi , Chen Wen-Juan 
Published: July 2023

Abstract
OBJECTIVE: This study aimed to assess the feasibility of using magnetic resonance imaging (MRI)-based Delta radiomics characteristics extrapolated from the Ax LAVA+C series to identify intermediary- and high-risk factors in patients with cervical cancer undergoing surgery following neoadjuvant chemoradiotherapy.
MATERIALS AND METHODS: A total of 157 patients were divided into two groups, namely, those without high-risk factors and the absence or presence of any intermediary-risk factors (negative set; n = 75) and those with more than one high-risk factor or more than two intermediary-risk factors (positive set; n = 82). Radiomics characteristics were extracted using Ax-LAVA+C MRI sequences. The data was divided into training (n = 126) and test (n = 31) sets in an 8:2 ratio. The training set data features were selected using the Mann-Whitney U test and the Least Absolute Shrinkage and Selection Operator (LASSO) test. The best radiomics features were then analyzed to build a preoperative predictive radiomics model for predicting intermediary- and high-risk factors in cervical cancer. Three models—the clinical model, the radiomics model, and the combined clinic and radiomics model—were developed in this study utilizing the random forest Algorithm. The receiver operating characteristic (ROC) curve, decision curve analysis (DCA), accuracy, sensitivity, and specificity were used to assess the predictive efficacy and clinical benefits of each model.
RESULTS: Three models were developed in this study to predict intermediary- and high-risk variables associated with postoperative pathology for patients who underwent surgery after receiving neoadjuvant radiation. In the training and test sets, the AUC values assessed using the clinical model, radiomics model, and combined clinical and radiomics models were 0.76 and 0.70, 0.88 and 0.86, and 0.91 and 0.89, respectively.
CONCLUSION: The use of machine learning algorithms to analyze Delta Ax LAVA+C MRI radiomics features can aid in the prediction of intermediary- and high-risk factors in patients with cervical cancer receiving neoadjuvant therapy.
Muscodor spp. controls tomato wilt disease by Ralstonia solanacearum and increases yield and total soluble solids content in tomatoes
Authors: GUIMARAES SARAH DA SILVA COSTA , Santos Ítalo Augusto Férrer Melo , Nunes Peterson Sylvio de Oliveira , Mengez Gabriela Andrade Leite , Monteiro Mônica Cristina Pereira , Resende Luciane Vilela , CARDOSO PATRICIA GOMES 
Published: July 2023

Abstract
Tomato is one of the most economically important crops in Brazil. However, several diseases limit tomato production, among which phytobacterial diseases are responsible for the greatest losses, such Ralstonia solanacearum, the pathogen most relevant to the crop. Endophytic fungi of the genus Muscodor are well known for the bioactivity of their volatile organic compounds (VOCs) against phytopathogens and also have the potential to promote plant growth, as in commum beans. Thus, in this study, we hypothesized that isolates of Muscodor spp. can be used for Ralstonia solanacearum control, and to increase tomato yield and total soluble solids content. To test our hypothesis, seven Muscodor coffeanum and two Muscodor sp. isolates associated with Coffea arabica were screened in vitro and in vivo. In vitro, using divided Petri dishes to evaluate the effect of VOCs, it was shown that the isolate of M. coffeanum CML 4009 promoted greater inhibitory effects on the growth of R. solanacearum race 3. In vivo, we inoculated seeds with Muscodor spp. isolates and later transplanted tomato seedlings into soil infested with R. solanacearum, and observed that the isolate CML 4009 reduced the severity of bacterial wilt. Muscodor isolates promoted an increase in fruit production and total soluble solids in tomatoes. Inoculation with Muscodor spp. is a plausible strategy for tomato seed treatment to control R. solanacearum diseases and increase tomato yield. The future of the M. coffeanum CML 4009 isolate as a biocontrol agent and plant growth promoter is promising.
Analysis of age-related difference in lower limb muscle activation pattern and movement strategies during walking balance control on a compliant surface
Authors: Jeon Woohyoung , Ramadan Ahmed , Whitall Jill , Alissa Nesreen , Westlake Kelly 
Published: July 2023

Abstract
Substantial evidence demonstrates that falls in older adults are leading causes of fatal and non-fatal injuries and lead to negative impacts on quality of life in the aging population. Most falls in elderly fallers result from unrecoverable limb collapse during falling momentum control in the single limb support (SLS) phase. To understand why older adults are more likely to fall than younger adults, we investigated age-related differences in knee extensor eccentric control, lower limb muscle activation patterns, and their relation to balance control. Ten older and ten younger healthy adults were compared during balance control while walking on a compliant surface. There was a positive correlation between knee extensor eccentric work of perturbed leg and swinging leg’s speed and margin of stability. In comparison to younger adults, older adults demonstrated 1) smaller eccentric work, reduced eccentric electromyography burst duration in the perturbed leg, 2) higher postural sway during SLS, and 3) impaired swinging leg balance control. The group specific muscle synergy showed that older adults had a prominent ankle muscle activation while a prominent hip muscle activation in younger adults. These findings provide insight into targeted balance rehabilitation directions to improve postural stability and reduce falls in older adults.
Unlocking the Power of Differentiation: Lessons Learned from Children's Writing in First Grade Sessions
Authors: Vardanyan Shushan 
Published: July 2023

Abstract
The current article examined the importance of hands-on writing lessons for first-grade classrooms. The author offered guidelines on differentiation strategies, explaining how resources, instructions, and activities can be modified to the needs of individual students. The author highlighted various areas of focus, such as creativity, differentiation, phonological awareness, and autonomy, using first-grade students’ writing samples. Children’s work samples were obtained from a pilot program called Developmentally Engaging Learning and Teaching Approaches (DELTA) with the goal of moving away from worksheets to hands-on learning. The information provided in this paper will be beneficial for educators teaching students from pre-K to third grade. The article ends with recommendations and implications for educators who work with young children.
Adherence to Lifestyle Recommendations Linked to Innate Immunity and Lipoprotein Metabolism: A Cross-Sectional Comparison Using Untargeted Proteomics
Authors: Nieman David C. , Sakaguchi Camila A. , Pelleigrini Matteo , Thompson Michael J. , Sumner Susan , Zhang Qibin 
Published: July 2023

Abstract
This study used untargeted proteomics to compare blood proteomic profiles in two groups of adults that differed widely in lifestyle habits. A total of 52 subjects in the lifestyle group (LIFE) (28 males, 24 females) and 52 in the control group (CON) (27 males, 25 females) participated in this cross-sectional study. Age, education level, marital status, and height did not differ significantly between LIFE and CON groups. The LIFE and CON groups differed markedly in body composition, physical activity patterns, dietary intake patterns, disease risk factor prevalence, blood measures of inflammation, triglycerides, HDL-cholesterol, glucose, and insulin, weight-adjusted leg/back and handgrip strength, and mood states. The proteomics analysis showed strong group differences for 39 of 725 proteins identified in dried blood spot samples. Of these, 18 were downregulated in the LIFE group and collectively indicated a lower innate immune activation signature. A total of 21 proteins were upregulated in the LIFE group and supported greater lipoprotein metabolism and HDL remodeling. Lifestyle-related habits and biomarkers were probed and the variance (> 50%) in proteomic profiles was best explained by group contrasts in indicators of adiposity. This cross-sectional study established that a relatively small number of proteins are associated with good lifestyle habits.
A novel higher performance nomogram based on explainable machine learning for predicting mortality risk in stroke patients within 30 days based on clinical features on the first day ICU admission
Authors: chen Haoran , Yang Fengchun , Duan Yifan , Yang Lin , Li Jiao 
Published: July 2023

Abstract

Background: This study aimed to develop a higher performance nomogram based on explainable machine learning methods, and to predict the risk of death of stroke patients within 30 days based on clinical characteristics on the first day of intensive care units (ICU) admission.
Methods: Data relating to stroke patients were extracted from the Medical Information Marketplace of the Intensive Care IV database. The LightGBM machine learning approach together with Shapely additive explanations (termed as explain machine learning, EML) was used to select clinical features and define cut-off points for the selected features. These selected features and cut-off points were then evaluated using the Cox proportional hazards regression model and Kaplan-Meier survival curves. Finally, logistic regression-based nomograms for predicting 30-day mortality of stroke patients were constructed using original variables and variables dichotomized by cut-off points, respectively. The performance of two nomograms were evaluated in overall and individual dimension.
Results: A total of 2982 stroke patients and 64 clinical features were included in this study, the 30-day mortality rate was 23.6%. 10 variables (“sofa”, “glucose_min”, “sodium_max”, “age”, “spo2_mean”, “temperature_max”, “heart_rate_max”, “bun_min”, “wbc_min” and “charlson_comorbidity_index”) and respective cutoff points were defined from the EML. In the Cox proportional hazards regression model (Cox regression) and Kaplan-Meier survival curves, after grouping stroke patients according to the cutoff point of each variable, patients belonging to the high-risk subgroup were associated with higher 30-day mortality than those in the low-risk subgroup. The evaluation of nomograms found that the EML-based nomogram not only outperformed the conventional nomogram in NIR (net reclassification index), brier score and clinical net benefits in overall dimension, but also significant improved in individual dimension especially for low “temperature_max” patients.
Conclusions: The 10 selected first-day ICU admission clinical features require greater attention for stroke patients. And the nomogram based on explainable machine learning will have greater clinical application.
The nonlinear post-buckling behavior of FG cylindrical copper shell reinforced with carbon nanotubes with a polymer core
Authors: Ajri Masoud 
Published: July 2023

Abstract
This research analyzes the buckling and post-buckling behavior of composite cylindrical shells with a polymer core and carbon nanotube reinforced inner and outer copper layers with functional distribution under axial compressive loading. For this purpose, the differential equations governing the nonlinear buckling behavior of these shells were extracted with considering large deformations. Employing the Ritz energy method and considering the Airy function, analytical relations for the buckling load and the critical stress of the structure are extracted. In the following, considering different distributions, the equivalent mechanical properties of the composite structure have been calculated using the law of mixtures. Finally, the effect of different parameters, such as distribution types and volume fraction of nanotubes, on nonlinear buckling loads and post-buckling behavior of these materials is investigated. Results show that increasing the volume fraction of carbon nanotubes reduces the change in the critical length of the cylindrical shell, which happens as a result of increasing Young's modulus and the equivalent stiffness of the shell.
A multidimensional model of memory complaints in elderly individuals and the associated hub regions
Authors: Paban Veronique , Mheich Ahmad , Spieser Laure , Sacher Mathilde 
Published: July 2023

Abstract
Memory complaints are highly prevalent among middle-aged and older adults, and they are frequently reported in individuals experiencing subjective cognitive decline (SCD). SCD has received increasing attention due to its implications for the early detection of dementia. The factors contributing to memory complaints in SCD appear to be multifaceted and require further identification. To address this, we employed structural equation modeling to investigate the relationships between various factors, such as metacognitive beliefs, personality, anxiety, depression, self-esteem, and resilience, and memory complaints. Our findings revealed that self-esteem and conscientiousness significantly influenced memory complaints. At the cerebral level, analysis of delta and theta electroencephalographic frequency bands recorded during rest was conducted to identify hub regions using a local centrality metric known as betweenness centrality. Notably, our study demonstrated that certain brain regions undergo changes in their hub roles in response to the pathology of SCD. Specifically, the inferior temporal gyrus and the left orbitofrontal area transition into hubs, while the dorsolateral prefrontal cortex and the middle temporal gyrus lose their hub function in the presence of SCD. This rewiring of the neural network may be interpreted as a compensatory response employed by the brain in response to SCD, wherein functional connectivity is maintained or restored by reallocating resources to other regions.
Experiences and perceptions of patients and their caregivers on visitor guidelines for patient care during the COVID-19 pandemic. Protocol for a research study
Authors: Julià-Mora Joana Maria , Calafell-Vert Margarita , Rosal-Obrador Francesca Rosa , Blanco-Mavillard Ian , Miró-Bonet Margalida 
Published: July 2023

AbstractBackground: The COVID-19 pandemic led to high cases, hospitalizations, and deaths in Spain and the Balearic Islands. Vulnerable individuals were disproportionately affected, especially in nursing homes. Strict isolation measures and visitor restrictions had negative impacts. The study aims to explore patient and caregiver experiences and propose improvement strategies for future health crisis protocols.Methods: a qualitative study of content analysis through semi-structured interviews. 32 interviews will be conducted with patients and relatives or caregivers, 16 will be hospitalized COVID patients or accompanying relatives: 8 patients and 8 relatives, and 16 will be non-COVID patients or accompanying relatives also admitted during the COVID-19 pandemic: 8 patients and 8 relatives. Intentional theoretical sampling shall be carried out. The inclusion criteria for COVID patients will be patients admitted to ICU or specific COVID units. The exclusion criteria for patients will be those in gynaecology and obstetrics units. Two data collection techniques will be used, the semi-structured interview with patients and their caregivers, and the field diary of the principal investigator. An analysis of the content will be carried out following deductive and inductive strategies. Funding was approved in April 2021.Discussion: The experiences and perceptions of patients and relatives on visiting guidelines during the COVID-19 pandemic will be identified. Impact: the study will allow us to highlight the impact of visiting policies on patients and their families as well as propose new measures for said visiting policies in the framework of future health crises focusing on patients and families. This will help to minimize the suffering these restrictions may cause.
Drosophila UBE3A regulates satiety signaling through the Piezo mechanosensitive ion channel
Authors: Geier Benjamin , Neely Logan , Coronado Eli , Reiter Lawrence T. 
Published: July 2023

Abstract
Angelman syndrome (AS) is a rare neurogenetic disorder characterized by developmental delays, speech impairments, ataxic movements, and in some cases, hyperphagic feeding behavior. Loss of function mutations, loss of expression from the maternal allele or absence of maternal UBE3A result in AS. Recent studies have established a connection between UBE3A and the mechanosensitive ion channel PIEZO2, suggesting the potential role of UBE3A in the regulation of PIEZO channels. In this study, we investigated the role of Drosophila UBE3A (Dube3a) in Piezo associated hyperphagic feeding behavior. We developed a novel assay using green fluorescent protein (GFP) expressing yeast to quantify gut distention in flies with Piezo and Dube3a mutations. We confirmed that Dube3a15b loss of function flies displayed gut distention to almost identical levels as PiezoKO flies. Further analysis using deficiency (Df) lines encompassing the Dube3a locus provided proof for a role of Dube3a in satiety signaling. We also investigated endogenous Piezo expression across the fly midgut and tracheal system. Piezo protein could be detected in both neurons and trachea of the midgut. Overexpression of Dube3a driven by the Piezo promoter resulted in distinct tracheal remodeling within the midgut. These findings suggest that Dube3a plays a key role in the regulation of Piezo and that subsequent dysregulation of these ion channels may explain the hyperphagic behavior observed in 32% of cases of AS. Further investigation will be needed to identify the intermediate protein(s) interacting between the Dube3a ubiquitin ligase and Piezo channels, as Piezo does not appear to be a direct ubiquitin substrate for UBE3A in mice and humans.
Semi-supervised Attack Detection in Industrial Control Systems with Deviation Networks and Feature Selection
Authors: Liu Yanhua , Deng Wentao , Liu Zhihuang , Zeng Fanhao 
Published: July 2023

Abstract

With the rapid development of Industry 4.0, the importance of cyber security for industrial control systems has become increasingly prominent. The complexity and diversity of industrial control systems result in data with high dimensionality and strong correlation, posing significant challenges in obtaining labeled data. However, current intrusion detection methods often demand large amounts of labeled data for effective training. To address this limitation, this paper proposes a semi-supervised anomaly detection framework, called SFSD, which leverages feature selection and deviation networks to detect anomalies in industrial control systems. Specifically, we introduce a feature selection algorithm (IG-PCA) that utilizes information gain and principal component analysis to reduce the dimensionality of features in industrial control data by eliminating redundant features. Then, we propose a semi-supervised learning method based on an improved deviation network, which utilizes an anomaly scoring network to learn end-to-end anomaly scores for the training data, thus assigning anomaly scores to each training data. Finally, using a limited amount of anomaly-labeled data, we design a specific deviation loss function to optimize the anomaly scoring network, enabling a significant score bias between positive and negative samples. Experimental results demonstrate that the proposed SFSD outperforms existing semi-supervised anomaly detection frameworks by improving the accuracy and detection rate by an average of 1-2\%. Moreover, SFSD requires less training time compared to existing frameworks, resulting in a training time reduction of approximately 10\% or more.
Face-on Molecular Map of the Milky Way and the 3-kpc Expanding Ring based on the High-accuracy Rotation Curve
Authors: Sofue Yoshiaki 
Published: July 2023

Abstract
We analyze the longitude-velocity diagram (LVD) of 12CO line emission from archival data and use the most accurate rotation curve (RC) of the Milky Way to transform radial velocity to face-on position in the galactic plane. We find that, especially in the inner Milky Way, the face-on transformation is highly sensitive to the adopted RC in the sense that deviations of the RC from the true rotation velocity lead to artifact holes or overcrowded concentrations along the tangent circle for overestimated or underestimated RC, respectively. Even if the RC is sufficiently accurate, non-circular motion such as with the 3 kpc expanding ring introduces significant artifacts in the resulting face-on-map, as long as a circular rotation is assumed. On the other hand, if we properly take into account the non-circular motion, it can be used to solve the near-far degeneracy problem of determination of kinematic distance. We thus propose a new method to solve the degeneracy problem by incorporating the expanding motion of a ring. We apply the method to the LVD of the 3-kpc expanding ring and present a face-on map projected onto the galactic plane for the first time.
“Surviving Pneumonectomy: Identifying key determinants and outcomes.”
Authors: Feyissa Mekonnen , Gullilat Dereje , kassa seyoum , Bezabih Abebe 
Published: July 2023

Abstract
Background: Pneumonectomy is a surgical procedure that involves the complete removal of a lung and was first performed in 1933 by Evarts A. Graham for lung carcinoma. Despite its efficacy in treating lung diseases, Pneumonectomy is associated with high morbidity and mortality rates compared to other lung resection procedures.
Methods: This retrospective case-control study included 180 patients who underwent Pneumonectomy or Other lung resection at TASH between January 2017 and December 2022. Data were collected using a checklist by trained data collectors and analyzed using SPSS V.25. Univariate, bivariate, and multivariate analyses were conducted to identify determinants of Pneumonectomy. The Pearson's chi-square test, COR, and AOR were calculated for categorical variables, where appropriate. Binary logistic regression models were computed to identify determinants of Pneumonectomy, and odds ratios with 95% confidence intervals were calculated.
Results: The majority of patients who underwent Pneumonectomy were in the 20-30 age range (48.2%), with a male to female ratio of 1.6:1. Emergency admission (AOR, 3.43; 95%CI: 1.28, 8.67), TB treatment history (AOR, 40.3; 95%CI: 3.01, 540.2), blood loss (AOR, 9.07; 95%CI: 1.04, 79.13), ICU stay (AOR, 0.02; 95%CI: 0.001, 0.17), and post-operative complications (AOR, 37.9; 95%CI: 1.82, 792) were identified as significant determinants of Pneumonectomy.
Conclusion: This study identified several determinants of Pneumonectomy, including emergency admission, TB treatment history, blood loss, ICU stay, and post-operative complications. The study recommends a focus on TB prevention strategies and proper patient evaluation before treatment at all health facility levels to improve patient outcomes and reduce the incidence of postoperative complications.
Cornuside protects against ischemic stroke in rats by suppressing the IL-17F/TRAF6/NF-κB pathway via the brain-gut axis
Authors: Yan Chao , Liu Zhihao , Xu Xiaoyan , Zhang Ting , Xie Waner , Li Guodong , Ye Lei , Gong Jianwei 
Published: July 2023

Abstract
The authors have requested that this preprint be removed from Research Square.