bluuebunny/crossref_metadata_2025_split huggingface dataset:
Incorporating therapeutic education and exercise in migraine management: a biobehavioral approach
Authors: Touche Roy La , de Oliveira Arão Belitardo , Paris-Alemany Alba , Reina-Varona Álvaro 
Published: February 2024

Abstract
We aimed to describe the potential bio-behavioral factors influencing disability in patients with migraine and present a multimodal physiotherapy treatment proposal incorporating therapeutic education and exercise prescription employing a bio-behavioral approach. This manuscript highlights the complex interplay between migraine and physical activity, with many migraine sufferers performing reduced physical activity, even during headache-free intervals. The presence of kinesiophobia in a significant portion of patients with migraine exacerbates functional disability and compromises quality of life. Psychological elements, including pain catastrophizing, depression, and self-efficacy, further compound migraine-related disability. Addressing these issues necessitates a multidisciplinary approach that integrates physical activity and behavioral interventions. We propose a therapeutic education model of motor behavior, emphasizing the enhancement of therapeutic exercise outcomes. This model consists of 4 phases: 1) education about exercise benefits; 2) biobehavioral analysis of movement; 3) movement education; and 4) goal setting. A notable feature is the incorporation of motivational interviewing, a communication strategy that amplifies intrinsic motivation for change. Recent clinical guidelines have advocated for specific exercise modalities to ameliorate migraine symptoms. However, we emphasize the importance of an individualized exercise prescription, given that not all exercises are universally beneficial. The integration of exercise with other lifestyle recommendations, such as maintaining consistent sleep patterns and employing stress management techniques, is pivotal for improving outcomes in patients with migraine. Although evidence supports the benefits of these interventions in various painful conditions, further research is needed to establish their efficacy specifically for migraine management.
3D Convolutional Deep Learning for Nonlinear Estimation of Body Composition from Whole-Body Morphology
Authors: Tian Isaac , Liu Jason , Wong Michael , Kelly Nisa , Liu Yong , Garber Andrea , Heymsfield Steven , Curless Brian , Shepherd John 
Published: February 2024

Abstract

Total and regional body composition are strongly correlated with metabolic syndrome and have been estimated non-invasively from 3D optical scans using linear parameterizations of body shape and linear regression models. Prior works produced accurate and precise predictions on many, but not all, body composition targets relative to the reference dual X-Ray absorptiometry (DXA) measurement. Here, we report the effects of replacing linear models with nonlinear parameterization and regression models on the precision and accuracy of body composition estimation in a novel application of deep 3D convolutional graph networks to human body composition modeling.
We assembled an ensemble dataset of 4286 topologically standardized 3D optical scans from four different human body shape databases, DFAUST, CAESAR, Shape Up! Adults, and Shape Up! Kids and trained a parameterized shape model using a graph convolutional 3D autoencoder (3DAE) in lieu of linear PCA. We trained a nonlinear Gaussian process regression (GPR) on the 3DAE parameter space to predict body composition via correlations to paired DXA reference measurements from the Shape Up! scan subset. We tested our model on a set of 424 randomly withheld test meshes and compared the effects of nonlinear computation against prior linear models.
Nonlinear GPR produced up to 20% reduction in prediction error and up to 30% increase in precision over linear regression for both sexes in 10 tested body composition variables. Deep shape features produced 6-8% reduction in prediction error over linear PCA features for males only and a 4-14% reduction in precision error for both sexes. Our best performing nonlinear model predicting body composition from deep features outperformed prior work using linear methods on all tested body composition prediction metrics in both precision and accuracy. All coefficients of determination (R2) for all predicted variables were above 0.86.
We show that GPR is a more precise and accurate method for modeling body composition mappings from body shape features than linear regression. Deep 3D features learned by a graph convolutional autoencoder only improved male body composition accuracy but improved precision in both sexes. Our work achieved lower estimation RMSEs than all previous work on 10 metrics of body composition.
Isolation, identification, and pathogenicity analysis of Staphylococcus devriesei associated with subclinical bovine mastitis
Authors: Li Zhijie , He Yonggang , Wang Meng , Wang Jinglei , Li Tianhao , Yang Xiaoqing , Wang Libin , Yu Sijiu , Cui Yan , Pan Yangyang 
Published: February 2024

Abstract

Background Bovine mastitis is a disease that is highly detrimental to the global dairy industry and poses risks to both consumer health and aquaculture economics. Microbial infections, particularly those caused by Staphylococcus aureus and coagulase-negative Staphylococcus, are the primary causes of bovine mastitis. This study aimed to isolate and identify the coagulase-negative Staphylococcus strain causing subclinical bovine mastitis and to investigate its pathogenicity and potential effects on the host using a mouse model. S. devriesei was isolated from the milk samples of mice with recessive mastitis using routine bacteriological methods. We observed the morphological structure, physicochemical properties, related pathological changes and translocation of the bacterium. Bacterial endotoxins and related inflammatory factors were detected to evaluate systemic lesions.
Results Based on 16s rRNA sequencing results, the isolated S. devriesei strain, S. devriesei CL, is a gram-positive and γ hemolytic staphylococcus, with a genome length of 2,385,004 bp and 2,189 predicted genes, and it was most closely related to S. taiwanensis and S. haemolyticus. S. devriesei CL（S. devriesei China Lanzhou） has an incubation period of 4 h, reaching the logarithmic phase after 4–10 h and plateauing after 10 h at the optimal growth temperature and pH of 30 ℃ and 7, respectively. S. devrieseiCL was not resistant to the most commonly used antibiotics, and its growth was significantly influenced by conventional disinfectants. S. devriesei CL was associated with chronic bovine mastitis and systemic inflammation. The disease was associated with a high expression of lipoteichoic acid and seven other inflammatory factors.
Conclusion In conclusion, this study is the first comprehensive investigation of the physical and chemical properties and pathogenic mechanism of S. devriesei in China. It provides valuable insights into the pathological changes caused by this bacterium, serving as a theoretical basis for understanding the disease, estimating economic losses, and developing prevention and treatment strategies.
Microwave Treatment for Dictyophora rubrovolvata in Regulating Postharvest Autolysis and Energy Metabolism
Authors: Zhang Xu , Wang Rui , Zhang Wencong , Chen Cunkun , Ma Chao , Ji Ning , Zhang Nanxin , Lei Jiqing , Tian Yiming 
Published: February 2024

Abstract

The shelf life of Dictyophora rubrovolvata (D. rubrovolvata) has been strongly limited by autolysis, a natural process of self-degradation. Conventional heat treatment methods (hot water or hot air) are not suitable for D. rubrovolvata fruiting bodies because of their fragile and porous structure. Therefore, in this work, we attempted to use microwave treatment (MT/100 W, 75 W, 50 W) to delay autolysis and extend the shelf life of D. rubrovolvata fruiting bodies. The results showed that MT could delay the decrease in cellulose, chitosan, and β-1,3 glucan contents by inhibiting the corresponding enzyme activity and maintain a high level of energy chargeby delaying the decrease in ATP and ADP. Meanwhile, compared with control group (CK), D. rubrovolvata fruiting bodies after MT had improvements in many qualities during storage (4 ℃, 95 % RH), including delayed deterioration of water migration, sensory evaluation, browning, shear force, ethanol, malondialdehyde (MDA), relative conductivity and respiratory rate. Furthermore, D. rubrovolvata fruiting bodies after MT maintained contents of umami compounds compared to CK, which included free amino acids, 5′- Nucleotides and equivalent umami concentration (EUC). The electronic nose (E-nose) results showed that MT maintained a better flavour. Notably, the effect of low power (50 W) was better than that of high power (100 W, 75 W). Thus, microwaves could effectively regulate autolysis and energy metabolism of D. rubrovolvata fruiting bodies during the postharvest period. Therefore, microwaves can be applied as a pretreatment method, providing valuable insights regarding postharvest mushrooms.
Trends of standardized mortality ratio and its correlation with admission patient volume in different intensive care units: A retrospective study from a 12-year multi-center quality improvement project in a metropolitan area
Authors: Qiu Yu , Liu Zhuang , Bai Jing , Zhao Mengya , Zhuang Haizhou , Ji Xiaojun , Liu Jingfeng , Xi Xiuming , Lin Jin , Duan Meili 
Published: February 2024

Abstract
Background: Healthcare quality impacts patient prognosis in the intensive care unit (ICU). The healthcare quality can be indicated by the standardized mortality ratio (SMR) and is influenced by the volume of admitted patients. However, the correlation between the admission patient volume and SMR in ICUs remains unclear.
Objective: This study examined SMR trends and their influencing factors and assessed the correlation between SMR and the admission patient volume across various ICU types.
Methods: We analyzed data retrospectively gathered from 75 ICUs from a Quality Improvement Project from January 2011 to December 2022. It examined the correlations between SMR, admission patient volume, and other quality control indicators. We further compared SMR trends between two groups of ICUs with high or low admission volumes. The study also evaluated inter- and intra-group SMR disparities across hospital levels (secondary versus tertiary) and ICU types (general versus specialty).
Results: The study encompassed 425,534 patients. A significant decline in SMR (P<0.001) was observed over the 12 years, alongside a notable negative correlation between admission patient volume and SMR (P<0.001). The low-admission group had a higher SMR than the high-admission group (P=0.010). Both the low (P=0.004) and high admission groups (P=0.001) showed a significant decreasing trend in SMR, with no significant inter-group difference (P=0.267). Moreover, the study identified distinct SMR trends between general ICUs (P=0.018) and secondary hospital ICUs (P=0.048) but not between specialtyICUs (P=0.511) and tertiary hospital ICUs (P=0.276).
Conclusion: Over the past 12 years, SMR has significantly decreased. An inverse association was identified between ICU admission patient volume and SMR, with SMR exhibiting considerable variation across different ICU types. These findings underscore the importance of targeted management and healthcare quality enhancement strategies tailored to specific ICU settings.
Predicting Place of Death of Patients with Advanced Cancer Receiving Home-Based Palliative Care Services in Iran
Authors: Zare Mohammad-Sajad , Feizi Awat 
Published: February 2024

Abstract

Background
While home is frequently expressed as the favorite place of death (PoD) among terminally ill cancer patients, various factors affect the fulfillment of this wish. The determinants of the PoD of cancer patients in countries without healthcare system-integrated palliative and supportive care have not been studied before. Here, we developed a model to predict the PoD of the cancer patients who received home-based palliative care in Iran as a representative of the countries with isolated provision of palliative care services.
Methods
In a cross-sectional study, electronic records of 4083 advanced cancer patients enrolled in the Iranian Cancer Control Center (MACSA) palliative homecare program, who died between February 2018 and February 2020 were retrieved. Multivariable binary logistic regression analysis as well as subgroup analyses (location, sex, marital status, and tumor topography) was performed to identify the predictors of PoD.
Results
Of the 2398 cases included (mean age (SD) = 64.17 (14.45) year, 1269 (%52.9) male), 1216 (50.7%) patients died at home. Older age, presence and intensity of medical homecare in the last two weeks and registration in the Tehran site of the program were associated with dying at home (P < 0.05). Gynecological or hematological cancers, presence and intensity of the calls received from the remote palliative care unit in the last two weeks were predictors of death at the hospital (p < 0.05). The model was internally and externally validated (AUC = 0.723 (95% CI = 0.702–0.745; P < 0.001) and AUC = 0.697 (95% CI = 0.631–0.763; P < 0.001) respectively).
Conclusion
Our model highlights the demographic, illness-related and environmental determinants of the PoD in communities with patchy provision of palliative care. It also urges policymakers and service providers to identify and take the local determinant of the place of death into account to match the goals of palliative and supportive services with the patient preferences.
Retention of CO2 gas in gas hydrates with promoters and its dissociation in temperature-controlled atmosphere
Authors: Kollemparembil Ann Mary , Srivast Shubhangi , Mobarak Mohammad , Zettel Viktoria , Gatternig Bernhard , Delgado Antonio , Jekle Mario , Hitzmann Bernd 
Published: February 2024

Abstract

This investigation aims to elucidate the dissociation of CO2 gas from gas hydrates (GH) over a 60-minute duration at varying temperatures, with the objective of understanding the entrapment of CO2 gas within GH with the use of GH promoters. The study examines four food-grade amino acids possessing surfactant capabilities—cysteine, leucine, methionine, and valine—as well as lecithin, to discern their potential as food-grade GH promoters. Dissociation of GH from its promoters is investigated at temperatures of -18°C, 10°C, 20°C, and 23°C. 0.1% and 1% of the weight of the water utilized in the GH reactor is comprised of amino acids and lecithin respectively. The study explores the individual and combined effect of promoters, with a specific attention on leucine and methionine, identified as the most effective amino acid promoters. These two promoters exhibit synergistic effects when combined with lecithin. The CO2 content within normal GH is found to be 9.7% and 15.6% when employing methionine, leucine, and lecithin. Analysis of the GH dissociation graph at different temperatures, considering various promoters, indicates that the use of efficient promoters in combination enhances gas containment. Notably, enhanced stability is observed at higher temperatures, such as 20°C, extending over a prolonged duration of 20 minutes. This increased stability may prove advantageous for CO2 GH applications in the food industry.
A simple model to predict early recurrence of hepatocellular carcinoma after liver resection
Authors: Yen Yi-Hao , Liu Yueh-Wei , Li Wei-Feng , Yong Chee-Chien , Wang Chih-Chi , Lin Chih-Yun 
Published: February 2024

Abstract

Purpose: Multiple studies have reported models for predicting early recurrence of hepatocellular carcinoma (HCC) after liver resection (LR). However, these models are too complex to use in daily practice. We aimed to develop a simple model.
Method: We enrolled 1133 patients with newly diagnosed HCC undergoing LR. The Kaplan−Meier method and log-rank test were used for survival analysis and Cox proportional hazards analysis to identify prognostic factors associated with early recurrence (i.e., recurrence within two years after LR).
Results: Early recurrence was identified in 403 (35.1%) patients. In multivariate analysis, alpha-fetoprotein (AFP) 20–399 vs <20 ng/ml (HR=1.282 [95% confidence interval=1.002–1.639]; p=0.048); AFP ≥ 400 vs <20 ng/ml (HR=1.755 [1.382–2.229]; p<0.001); 7th edition American Joint Committee on Cancer (AJCC) stage 2 vs 1 (HR=1.958 [1.505–2.547]; p<0.001); AJCC stage 3 vs 1 (HR=4.099 [3.043–5.520]; p<0.001); and pathology-defined cirrhosis (HR=1.46 [1.200–1.775]; p<0.001) were associated with early recurrence. We constructed a predictive model with these variables, which provided three risk strata for recurrence-free survival (RFS): low risk, intermediate risk, and high risk, with two-year RFS of 79%, 57%, and 35%, respectively (p<0.001).
Conclusion: We developed a simple model to predict early recurrence risk for patients undergoing LR for HCC.
Endogenous retrovirus promotes the aberrant T cell differentiation in systemic lupus erythematosus via RIG-I pathway
Authors: Zhao Ming , Min Xiaoli , Yu Yaqin , Hu Zhi , Ouyang Lianlian , Qiu Yueqi , zhao Hongjun , Wu Jiali , Zou Chun , Zheng Meiling , Yang Shuang , Sujie Jia , Yu Di , Lu Qianjin 
Published: February 2024

Abstract

The dysregulated differentiation of T lymphocyte play an important role in systemic lupus erythematosus (SLE). However, the underlying mechanism remains unclear. Here, we showed that many transcripts derived from human endogenous retroviruses (HERVs) were highly expressed in CD4+ T cells from SLE patients due to DNA hypomethylation, some of which were characterized by double strand RNAs (dsRNAs). Excessive dsRNAs promoted Th1/Th17 differentiation and inhibited Treg cell differentiation via the activation of dsRNA sensor retinoic acid-inducible gene I (RIG-I). And T cell-specific ablation of RIG-I alleviated disease progression in experimental autoimmune encephalomyelitis (EAE) mice model and lupus-like mice model. Importantly, we demonstrated that dsRNA-activated RIG-I protein bind lactate dehydrogenase A (LDHA) and regulate histone lysine 18 lactylation (H3K18Lac) and acetylation (H3K18Ac) modifications in T cell differentiation via changing lactate level. Collectively, our findings uncover a novel role and mechanism of HERVs and RIG-I in regulating the aberrant differentiation of T cells in SLE patients.
A novel push-pull strategy-based aphid control agent: repellency on Myzus persicae and attraction towards Eupeodes corollae from laboratory to field
Authors: Liu Yan , Zhang Yimeng , Pan Shixiang , Sun Ruihong , Shi Zhuo , Lu Xingxing , Yang Zhaokai , Wang Bing , Li Xuesheng , Zhang Ganyu , Qin Yaoguo , Zhou Zhengxin , Yang Xinling 
Published: February 2024

Abstract
Aphids are one of the most destructive agricultural pests worldwide. Traditional aphid control mainly relies on chemical pesticides, which have adversely affected non-target organisms and the environment. The push-pull strategy, an emerging alternative approach, shows promise for aphid management by repelling aphids and attracting their natural enemies. In our previous research, a salicylate-substituted carboxyl (E)-β-farnesene derivative 3e was found to have effective aphid-repellent and ladybug-attract activities in the laboratory. However, it remains unknown whether 3e possesses attraction towards other aphid enemies, such as hoverflies. Meanwhile, further investigation on the aphid-repellent activity characteristics of 3e is meaningful for green control of aphids. Herein, the comprehensive aphid-repellent properties of 3e and its potential to attract hoverflies were evaluated. Laboratory, greenhouse and field experiments demonstrated that 3e exhibited significant repellent activity against aphids (Myzus persicae) in an optimal concentration range. Electroantennogram (EAG) results showed that 3e elicited a strong response from antennae of adult hoverflies (Eupeodes corollae). Field experiments further confirmed its excellent attraction towards E. corollae for the first time. The molecular mechanism study revealed that hydrophobic interactions were pivotal in the binding affinity of 3e to the target EcorOBP15, with steric spatial effect significantly influencing its interaction with EcorOR3. Additionally, 3e exhibited low toxicity to bees (Apis mellifera). This study suggests that 3e is a potential promising push-pull agent for integrated aphid management in sustainable agriculture.
HyperMatch: Long-form Text Matching via Hypergraph Convolutional Networks
Authors: Duan Junwen , Jia Mingyi , Liao Jianbo , Wang Jianxin 
Published: February 2024

Abstract
Semantic text matching plays a vital role in diverse domains, such as information retrieval, question answering, and recommendation. However, longer texts present challenges, including noise, long-range dependency, and cross-sentence inference. Graph-based approaches have shown effectiveness in addressing these challenges, but traditional graph structures struggle to model complex higher-order relationships in long-form texts. To overcome this limitation, we propose \textbf{HyperMatch}, a hypergraph-based method for long text matching. HyperMatch leverages hypergraph modeling to capture high-order relationships and enhance matching performance. Our approach involves constructing a keyword graph using document keywords as nodes, connecting sentences to nodes based on inclusion relationships, creating a hypergraph based on sentence similarity across nodes, and utilizing hypergraph convolutional networks to aggregate matching signals. Extensive experiments on benchmark datasets demonstrate the superiority of our model over state-of-the-art long text matching approaches.
Impact of Different Drying Method on Phytosterols and Proximate Biochemical Contents in Leaf, Stem and Root of Jivanti [Leptadenia reticulata (Retz.) Wight and Arn.]
Authors: Patel Krishna S , Singh Amarjeet , Litoriya Nitesh S , Sharma Ashish K 
Published: February 2024

Abstract
Leptadenia reticulata (Retz.) Wight & Arn., is commonly known as jivanti is extensively used to treat various diseases from an ancient time. Effect of different drying method (sun, shade, vacuum, oven, tray, microwave continuous, microwave vacuum and fluidized bed dryer) on phytosterols and proximate biochemical parameters content in different plant parts of jivanti was assessed. LC-MS analyzed showed that significantly maximum campesterol, CAM in shade drying (5.10 µg/g) while stigmasterol, STIG (12.03 µg/g) and β-sitosterol, β-SIT (17.93 µg/g) were found maximum in vacuum drying. Among the plant parts, leaves exhibited relatively maximum content of β-SIT (37.47 µg/g), STIG (21.52 µg/g) and CAM (7.85 µg/g) compared to stem and root. All the drying methods resulted in drastic reduced in moisture content; reducing sugar (4.55 %), fibre (44.61 %), ash (16.23 %), flavonoid (5.92 %), antioxidant activity, AOA (0.71 %) and total phenol, TPHC (0.83 %) content was found significantly maximum retention in vacuum drying. However, shade drying was revealed maximum conservation of chlorophyll (23.26 mg/ g), carbohydrate (14.80 %), protein (13.47 %), non-reducing sugar (11.04 %) and TSS (14.14 %). A positive correlation of AOA with TPHC, CAM, STIG and β-SIT was recorded. Vacuum drying contributed maximum (56.18 %) variation followed by shade drying (12.26 %) in principal component analysis (PCA). Considering all these points, vacuum drying techniques could be used to dry the jivanti leaves to get maximum retention of phytochemical compounds.