bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aerobic exercise in cold weather may affect metabolic diseases and bone‐cartilage formation by increasing CTRP‐3 levels
Authors: Sebin Saime Ozbek , Sebin Engin , Gencoglu Cebrail , Ozbay Serhat , Ulupinar Suleyman , Altinkaynak Konca 
Published: January 2024

AbstractAerobic exercise is recommended by clinicians in the prevention and treatment of metabolic diseases. The aim of this study is to investigate the effect of aerobic exercise in cold weather on CTRP‐3 levels and its potential implications for metabolic diseases. Twenty‐seven healthy young individuals (age = 22.1 ± 1.7 years, BMI = 22.2 ± 1.3, and n = 27; 13 female and 14 male) voluntarily participated in this study. Participants performed 40 min aerobic running exercise at 0, 12, and 20°C environmental temperatures. Our study demonstrates that 40 min of aerobic exercise at temperatures of 0 and 12°C significantly increased CTRP‐3 levels in athletes, while no significant change was observed at 24°C. The main findings indicated significant differences between pre‐and post‐exercise CTRP‐3 values for 0°C (p = 0.001) and 12°C (p = 0.005) environmental temperature, whereas no significant difference was found at 24°C (p = 0.148). Additionally, two‐way ANOVA revealed that both the temperature (0, 12, and 24°C) and exercise (pre‐ and post‐) affect serum CTRP‐3 levels (p = 0.023). CTRP‐3 elevation from baseline to post‐exercise in the 0°C, 12°C, and 24°C were +23.4%, +10.6%, and +8.1%, respectively. These findings suggest that engaging in aerobic exercise in cold weather conditions may serve as an effective intervention against metabolic disorders, including diabetes and obesity. The significant increases in CTRP‐3 levels following aerobic exercise in cold weather conditions justify the need for further, more extensive studies to assess their potential impact on metabolic diseases, as well as cartilage and bone formation.
The effects of a preconditioning vibration rolling warm‐up on multidirectional repeated sprinting‐induced muscle damage
Authors: Chang Yi‐Chieh , Tseng Wei‐Chin , Chiu Chih‐Hui , Hsieh Tsung‐Yu , Chang Chien‐KM , Dai Xiang , Chen Che‐Hsiu 
Published: January 2024

AbstractThe purpose of this investigation was to examine whether adding a set of vibrating foam rollers (VFR) to a regular running‐based warm‐up before a bout of multidirectional repeated sprints provides protective effects against the sprinting‐induced muscle damage. Twenty‐four elite college handball and rugby players participated in this study. After the familiarization visit, the subjects were randomly divided into either the vibration rolling (VFR) or the general warm‐up (GW) group. Before (pretest), post‐24, 48, and 72 h after the muscle‐damaging protocol (15 sets of 30‐m maximal multi directional repeated sprints), plasma creatine kinase (CK), muscle soreness, hip flexion passive range of motion (ROM), isometric strength, and hexagon agility was measured. After the VFR, the CK and DOMS were significantly less than GW (p < 0.05). In addition, when compared with the GW, the hamstring isometric strength, hexagon agility, and 0–10 m and 0–30‐m sprint performances showed faster recovery for the VFR (p < 0.05). The VFR protocol had protective effect on multidirectional repeated sprinting‐induced muscle damage markers than GW protocol. Therefore, preconditioning warm‐up activities using VFR can be integrated into a traditional sport‐specific warm‐up protocol for elite athletes before competitions/training may take advantage of this strategy to facilitate muscle recovery.
Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning
Authors: Pandey Binay Kumar , Pandey Digvijay , Sahani S. K. 
Published: January 2024

AbstractThis work proposes the use of an unmanned aerial vehicle (UAV) with an autopilot to identify the defects present in municipal sewerage pipes. The framework also includes an effective autopilot control mechanism that can direct the flight path of a UAV within a sewer line. Both of these breakthroughs have been addressed throughout this work. The UAV's camera proved useful throughout a sewage inspection, providing important contextual data that helped analyze the sewerage line's internal condition. A plethora of information useful for understanding the sewerage line's inner functioning and extracting interior visual details can be obtained from camera‐recorded sewerage imagery if a defect is present. In the case of sewerage inspections, nevertheless, the impact of a false negative is significantly higher than that of a false positive. One of the trickiest parts of the procedure is identifying defective sewerage pipelines and false negatives. In order to get rid of the false negative outcome or false positive outcome, a guided image filter (GIF) is implemented in this proposed method during the pre‐processing stage. Afterwards, the algorithms Gabor transform (GT) and stroke width transform (SWT) were used to obtain the features of the UAV‐captured surveillance image. The UAV camera's sewerage image is then classified as “defective” or “not defective” using the obtained features by a Weighted Naive Bayes Classifier (WNBC). Next, images of the sewerage lines captured by the UAV are analyzed using speed‐up robust features (SURF) and deep learning to identify different types of defects. As a result, the proposed methodology achieved more favorable outcomes than prior existing approaches in terms of the following metrics: mean PSNR (71.854), mean MSE (0.0618), mean RMSE (0.2485), mean SSIM (98.71%), mean accuracy (98.372), mean specificity (97.837%), mean precision (93.296%), mean recall (94.255%), mean F1‐score (93.773%), and mean processing time (35.43 min).
Bodily sensations and bariatric surgery: Links between interoceptive sensibility, intuitive and disordered eating behaviour in obesity and obesity surgery
Authors: Joshi Vrutti , Graziani Pierluigi , Del‐Monte Jonathan 
Published: January 2024

AbstractObjectiveThis study evaluated interoceptive sensibility, intuitive and disordered eating among bariatric candidates, operated individuals and individuals with obesity seeking non‐surgical treatment.MethodWe recruited 57 individuals with obesity seeking nonsurgical weight‐loss (IOB), 84 bariatric candidates (Pre) and 22 individuals post‐bariatric surgery (Post) who responded to questionnaires: Multidimensional Assessment of Interoceptive Awareness, Intuitive Eating Scale‐2 (IES‐2), Dutch Eating Behaviour Questionnaire, Binge Eating Scale, State‐Trait Anxiety Inventory, Beck's Depression Inventory.ResultsOverall, the Post group manifested higher scores on ‘Body‐Listening’ (F = 4.95, p = 0.01), ‘Emotional Awareness’ (F = 8.83, p < 0.001) and ‘Trusting’ (F = 6.71, p = 0.002) interoceptive dimensions, on the IES‐2 total score (F = 5.48, p = 0.007) and ‘Reliance on hunger and satiety cues’ (F = 31.3, p < 0.001) when age was controlled. The IOB group presented higher scores on emotional (F = 3.23, p = 0.047) and binge eating (F = 5.99, p = 0.004). Among operated individuals, intuitive eating mediated the relationship between interoceptive sensibility dimensions and binge eating: ‘Attention regulation’ (54%) ‘Self‐regulation’ (75.1%), ‘Body listening’ (94.09%) and ‘Trusting’ (84.9%).ConclusionsOur results suggest the therapeutic potential of interoceptive sensibility and intuitive eating in obesity management in/beyond the bariatric context.
Diffusion MRI head motion correction methods are highly accurate but impacted by denoising and sampling scheme
Authors: Cieslak Matthew , Cook Philip A. , Shafiei Golia , Tapera Tinashe M. , Radhakrishnan Hamsanandini , Elliott Mark , Roalf David R. , Oathes Desmond J. , Bassett Dani S. , Tisdall M. Dylan , Rokem Ariel , Grafton Scott T. , Satterthwaite Theodore D. 
Published: January 2024

AbstractHead motion correction is particularly challenging in diffusion‐weighted MRI (dMRI) scans due to the dramatic changes in image contrast at different gradient strengths and directions. Head motion correction is typically performed using a Gaussian Process model implemented in FSL's Eddy. Recently, the 3dSHORE‐based SHORELine method was introduced that does not require shell‐based acquisitions, but it has not been previously benchmarked. Here we perform a comprehensive evaluation of both methods on realistic simulations of a software fiber phantom that provides known ground‐truth head motion. We demonstrate that both methods perform remarkably well, but that performance can be impacted by sampling scheme and the extent of head motion and the denoising strategy applied before head motion correction. Furthermore, we find Eddy benefits from denoising the data first with MP‐PCA. In sum, we provide the most extensive known benchmarking of dMRI head motion correction, together with extensive simulation data and a reproducible workflow.Practitioner points
Both Eddy and SHORELine head motion correction methods performed quite well on a large variety of simulated data.
Denoising with MP‐PCA can improve head motion correction performance when Eddy is used.
SHORELine effectively corrects motion in non‐shelled diffusion spectrum imaging data.
Integration of pretreatment tumor markers in a nomogram model for prognostic prediction of FIGO stage I endometrial cancer: A multi‐institutional cohort study
Authors: Lin Hao , Wu Chen‐Hsuan , Ou Yu‐Che , Huang Szu‐Wei , Fu Hung‐Chun 
Published: January 2024

AbstractObjectiveTraditionally, the prognosis of patients with FIGO stage I endometrial cancer is determined by clinicopathological risk factors. In this study, we assessed the potential contribution of pretreatment carcinoembryonic antigen (CEA) and carbohydrate antigen‐125 (CA‐125) levels to estimating the prognosis of these patients and aimed to develop and validate a prognostic nomogram.MethodsThis retrospective study included patients with FIGO stage I endometrial cancer who underwent treatment between January 2009 and December 2021 in the four institutes of Chang Gung Memorial Hospital. To identify optimal cutoff values of CEA and CA‐125 for predicting survival, receiver operating characteristic (ROC) curves were generated, the Kaplan–Meier method was used to estimate survival, and a Cox regression model was used to analyze the independent prognostic factors. Finally, a nomogram and calibration curve were constructed to predict patient survival probability.ResultsOf the 1559 patients evaluated, the optimal cutoff values of CEA and CA‐125 were 1.44 ng/mL (area under the ROC curve [AUC] 0.601) and 39.77 U/mL (AUC 0.503), respectively. Multivariate Cox regression analysis showed that pretreatment CEA (hazard ratio [HR] 2.11, 95% confidence interval [95% CI] 1.35–3.28), CA‐125 (HR 2.07, 95% CI 1.31–3.27), age >70 years (HR 12.54, 95% CI 5.05–31.11), myometrial invasion >50% (HR 1.69, 95% CI 1.03–2.73), non‐endometrioid histology (HR 1.83, 95% CI 1.14–2.95), high‐grade tumor (HR 2.41, 95% CI 1.46–3.97), and lymphovascular space invasion (HR 2.32, 95% CI 1.26–4.25) were significant variables associated with overall survival. These factors were used to construct the nomogram model, which showed good concordance and accuracy.ConclusionsIntegration of pretreatment CEA and CA‐125 in a prognostic nomogram is feasible. Our prediction model has the potential to assist clinicians in guiding appropriate clinical practice.
Adenomyosis and fertility‐sparing surgery: A literature appraisal
Authors: Pecorella Giovanni , Nigdelis Meletios P. , Sparic Radmila , Morciano Andrea , Tinelli Andrea 
Published: January 2024

AbstractAdenomyosis is an intricate pathological condition that negatively impacts the uterus. It is closely related to the more well‐known endometriosis, with which it shares parallels in terms of diagnosis, therapy, and both microscopic and macroscopic features. The purpose of this narrative review is to give a clear univocal definition and outlook on the different, patient‐adapted, surgical treatments. MEDLINE and PubMed searches on these topics were conducted from 1990 to 2022 using a mix of selected keywords. Papers and articles were identified and included in this narrative review after authors' revision and evaluation. From the literature analysis, authors reported the following surgical techniques: laparoscopic double/triple‐flap method, laparotomic wedge resection of the uterine wall, laparotomic transverse H‐incision of the uterine wall, laparotomic wedge‐shaped excision, and laparotomic complete debulking excision by asymmetric dissection technique. Each of these techniques has strengths and weaknesses, but the literature data on the pregnancy rate are somewhat limited. The only certain information is the risk of uterine rupture up to 6.0% after surgical treatment for uterine adenomyosis. Over the years, the surgical approach continued to reach a positive result by minimally invasive treatment, with less hospitalization, less postoperative pain, and less blood loss. Over the years, the gynecological surgeon has gained the skills, training and increasingly sophisticated surgical techniques to target effective therapy. That's why a hysterectomy is no longer the only surgical resource to treat adenomyosis, but in patients who wish to preserve the fertility, there is a wide variety of surgical alternatives.
The role of hope in college transition: Its cross‐lagged relationships with psychosocial resources and emotional well‐being in first‐year college students
Authors: Wong Wai‐lap Lance , Cheung Sing‐hang 
Published: January 2024

AbstractIntroductionCollege transition is often regarded as the most stressful phase of life by college students. Hence, it is necessary to find ways to help them adjust more smoothly to this transition. Hope, as conceptualized by C. R. Snyder, has been widely studied as a predictor of optimal functioning and has been shown to be associated with better adjustment among college students. This study aimed to shed light on the role of hope in college transition by examining its unique reciprocal relationships with an array of important psychosocial resources and emotional well‐being among first‐year college students.MethodsData were collected from a sample of Hong Kong college freshmen (N = 433, Medianage = 18 years old, 63.7% female) at two time points. At each time point, participants completed self‐reported measures tapping into their levels of hope, psychosocial resources, and emotional well‐being. Psychological resources included general and academic self‐efficacy, meaning in life, and optimism. Social resources included secure attachment, perceived school environment, and social support. Emotional well‐being was operationalized as positive and negative emotions. Cross‐lagged panel models were constructed and tested by path analyses.ResultsWhen autoregression and the effects of other variables were controlled, a greater sense of hope uniquely predicted higher levels of general and academic self‐efficacy, greater presence of life meanings, more secure attachment, and more positive and fewer negative emotions. On the other hand, higher levels of meaning in life (both presence and search) and social support uniquely predicted greater hope. Academic hope and presence of life meanings reciprocally predicted one another, whereas other significant cross‐lagged relationships were unidirectional.ConclusionsThe findings suggest interventions that promote hope can be useful in helping college freshmen adjust to the new college environment by enhancing their psychosocial resources and emotional well‐being. Such interventions would be more effective if they included elements that boost meaning in life and social support, which are expected to further enhance the perceptions of hope.
The mediating role of social support in associations between childhood adversity, military sexual trauma, and homelessness in a nationally representative sample of US veterans
Authors: Bulanchuk Nicole , Edwards Emily , Pietrzak Robert H. , Tsai Jack 
Published: January 2024

AbstractAmong veterans, availability of social support and histories of military sexual trauma (MST) and/or adverse childhood experiences (ACEs) are particularly salient correlates of homelessness. Using path analyses, we investigated whether social support (i.e., interpersonal social support and community integration) would at least partially account for the relationships of MST and ACEs with any lifetime homelessness in a large, nationally representative sample of veterans (N = 4069, 9.8% female). Interpersonal social support and community integration partially explained the relationship between ACEs and any lifetime homelessness. However, they did not mediate the relationship between MST and any lifetime homelessness. Female veterans also reported higher trauma rates and lower perceived social support than male counterparts during correlational analyses. These results reinforce existing literature on the importance of research and interventions tailored to veterans with low social support and integration. Results have potential to inform interventions and policy for veterans experiencing and/or at risk for homelessness.
On the heat waves over India and their future projections under different SSP scenarios from CMIP6 models
Authors: Norgate Marc , Tiwari P. R. , Das Sushant , Kumar D. 
Published: January 2024

AbstractThirteen Coupled Model Intercomparison Project phase 6 (CMIP6) models were employed to simulate mean, maximum, and minimum temperature across 7 homogenous temperature regions of India for both annual and summer season (June, July, and August (JJA)). The model fidelity was assessed by comparing them with observed Climate Research Unit temperature dataset. The JJA multi‐model ensemble for the present (1981–2014) suggests large warm biases in the temperature. Although the models could simulate the spatial variability of the mean and maximum temperature over most of the homogeneous regions, they do not compare well for representing the temporal variability. We also found, that although different individual models have strengths and weaknesses in representing spatial and temporal temperature characteristics over India, a few of the models perform better than the others. For example, CNRM‐CM6 could better represent the spatial temperature patterns however they struggle in capturing the temporal variability. HadGEM3‐GC31‐LL, KACE‐1‐0G, and UKESM1‐0‐LL are comparably the best‐performing models for temporal temperature features over India. The annual maximum temperature during far future period is projected to increase by 1.5°C, 2.3°C, and 4.1°C for Socioeconomic Pathways (SSPs) SSP1‐2.6, SSP2‐4.5, and SSP5‐8.5 respectively. At regional scales, JJA mean temperature for SSP5‐8.5 revealed significant increases in Interior Peninsula (3.8°C), Western Himalaya (5.6°C), Northwest (3.9°C), West Coast (3.6°C), East Coast (3.6°C), Northeast (3.6°C), and North Central (3.8°C), highlighting the Western Himalaya's heightened sensitivity. Further, heat wave frequency is projected to rise, with the northern territories (NW, NC, NE, and part of IP) most affected, anticipating week‐long heat waves affecting around 50% of India's population under stronger SSPs. Such unprecedented impacts seem to be less profound in case of abatement scenarios such as the SSP1‐2.6. Our findings support the urgent need for more ambitious mitigation and adaptation strategies to alleviate the public health impacts of climate change.
Chitosan‐coated soybean protein isolate/lecithin nanoparticles for enhancing the stability and bioaccessibility of phytosterol
Authors: Cheng Ming , Tao Ye , Wang Chunwei , Li Ao 
Published: January 2024

AbstractBACKGROUNDPhytosterols (PS) have various beneficial effects on human health, especially the property of reducing blood cholesterol. However, the low solubility and bioaccessibility of PS have greatly limited their application in functional food ingredients.RESULTSTo improve the bioaccessibility and stability of PS, chitosan‐coated PS nanoparticles (CS‐PNP) were successfully prepared by self‐assembly. The properties of CS‐PNP, including size, zeta potential, encapsulation efficiency (EE) and loading amount (LA) were characterised. The optimisation of CS concentration (0.4 mg mL−1) and pH (3.5) resulted in the formation of CS‐PNP with an EE of over 90% and a particle size of 187.7 nm. Due to the special properties of CS chitosan, the interaction between CS and soybean protein isolate (SPI)/lecithin (SL) led to the formation of a soluble complex. CS‐PNP exhibited good stability to temperature variations but was more sensitive to salt ions. During in vitro digestion, CS efficiently maintained the stability of nanoparticles against the hydrolysis of SPI by pepsin under acidic conditions. However, these nanoparticles tended to aggregate in a neutral intestinal environment. After 3 h of in vitro digestion, the bioaccessibility of PS increased from 18.2% of free PS to 63.5% of CS‐PNP.CONCLUSIONOverall, these results highlight the potential of chitosan‐coated nanoparticles as effective carriers for the oral administration of PS. This multilayer construction may serve as a promising for applications in food products as delivery vehicles for nutraceuticals. © 2024 Society of Chemical Industry.
Dietary supplementation with short‐ and long‐chain structured lipids alleviates obesity via regulating hepatic lipid metabolism, inflammation and gut microbiota in high‐fat‐diet‐induced obese mice
Authors: Yue Chonghui , Tang Yu , Chang Menghan , Wang Yueyue , Peng Huainan , Wang Xin , Wang Ziyu , Zang Xiaodan , Ben Hongyan , Yu Guoping 
Published: January 2024

AbstractBackgroundObesity is closely associated with lipid accumulation, inflammation and intestinal microbiota dysbiosis. Short‐ and long‐chain type structured lipids (SLCTs) are kinds of low‐calorie structured lipids and demonstrate anti‐obesity and hypolipidemia bioactivity. The objective of this study is to investigate the potential effects of dietary supplementation of SLCTs rich in short‐chain fatty acids and polyunsaturated fatty acids on high‐fat‐diet‐induced obesity and gut microbiota modulation in C57BL/6J mice.ResultsResults showed that SLCTs supplementation ameliorated body weight, dyslipidemia, liver lipid accumulation, liver injury and systemic inflammation in obese mice. As expected, immunohistochemical analysis showed that SLCTs significantly increased the expression of proliferator‐activated receptor alpha and decreased the expression of Toll‐like receptor 4 in liver tissue. Furthermore, SLCTs supplementation significantly downregulated the expression level of liver inflammation‐related genes while upregulating the expression level of liver lipid metabolism‐related genes. Additionally, SLCTs supplementation markedly enhanced the diversity of gut microbiota, reduced the Firmicutes/Bacteroidetes ratio and increased the diversity and richness of beneficial intestinal microorganisms, such as Bacteroides, Lactobacillus, Lachnospiraceae NK4A136 group, Alloprevotella and Ruminococcaceae UCG‐014.ConclusionOur work suggested that SLCTs may have the potential to reduce obesity associated with a high‐fat diet by regulating liver metabolism, inflammation and gut microbiota. © 2024 Society of Chemical Industry.