Miracle-dz/UniFAR-FTUs huggingface dataset:
Physical activity, sitting time, and the risk of ovarian cancer: A brief research report employing a meta-analysis of existing

Abstract We investigated the associations between physical activity, physical inactivity, and ovarian cancer risk and identified the most effective physical activity intensity and amount to reduce ovarian cancer risk. Thirty-four studies were selected for the present meta-analysis. Physical activity helps decrease ovarian cancer risk. Moderate intensity and low amount of physical activity showed the greatest reduction of ovarian cancer risk and prolonged sitting time had the worst ovarian cancer risk. At least 2 h of moderate physical activity per week and <3 h of sitting time per day provided a preventive effect to ovarian cancer.
Promoting Physical and Psychological Rehabilitation Activities and Evaluating Potential Links Among Cancer-Related Fatigue, Fear of Recurrence, Quality of Life, and Physiological Indicators in Cancer Survivors

Objectives: Cancer-related fatigue and fear of recurrence (FOR) are the most common symptoms in cancer survivors and severely affect quality of life (QOL). This study aims to promote and evaluate the effectiveness of physical and psychological rehabilitation activities for cancer survivors. Methods: A longitudinal study with an interventional research design was conducted. A total of 80 participants were randomly assigned to experimental groups E1 (Qigong exercise [QE]) or E2 (stress management [SM]) or the control group. The E1 and E2 groups received QE and SM, respectively, as interventions once a week for 12 weeks, and effects were assessed. Cancer-related fatigue, FOR, QOL, and heart rate variability (HRV) were evaluated at baseline (T0), after 12 weeks (T1), and at the 3-month follow-up (T2). Results: QE and SM effectively strengthened the physical and psychological functions of cancer survivors at the T1 phase. Although differences in FOR and QOL were not statistically significant, the scores were decreased and increased, respectively. Although the effects during the T2 phase were not as significant as those during T1, the score progress was maintained. The effects on HRV were significantly different among the E1, E2, and control groups at T1, which shows that the performance of both experimental groups was better than that of the control group. Conclusions: Physical and psychological rehabilitation activities should be practiced periodically and should be led by professional staff. Long-term educational resources and care should also be provided. HRV can be used to efficiently monitor the status of the mind-body balance and is a more suitable index than questionnaires for physical and psychological function evaluation in cancer survivors.
Improved Point-Line Feature Based Visual SLAM Method for Indoor Scenes

In the study of indoor simultaneous localization and mapping (SLAM) problems using a stereo camera, two types of primary features—point and line segments—have been widely used to calculate the pose of the camera. However, many feature-based SLAM systems are not robust when the camera moves sharply or turns too quickly. In this paper, an improved indoor visual SLAM method to better utilize the advantages of point and line segment features and achieve robust results in difficult environments is proposed. First, point and line segment features are automatically extracted and matched to build two kinds of projection models. Subsequently, for the optimization problem of line segment features, we add minimization of angle observation in addition to the traditional re-projection error of endpoints. Finally, our model of motion estimation, which is adaptive to the motion state of the camera, is applied to build a new combinational Hessian matrix and gradient vector for iterated pose estimation. Furthermore, our proposal has been tested on EuRoC MAV datasets and sequence images captured with our stereo camera. The experimental results demonstrate the effectiveness of our improved point-line feature based visual SLAM method in improving localization accuracy when the camera moves with rapid rotation or violent fluctuation.
A General Reliability-Aware Fusion Concept Using DST and Supervised Learning with Its Applications in Multi-Source Road Estimation

Concerning the variety of challenging situations of automated driving, a simple average fusion of all available information sources is not appropriate to obtain satisfying results. Hence, this paper presents a novel framework for the road estimation task by incorporating reliability into the multi-source fusion. First, we specify the common JDL fusion model for this task and extend it at multiple levels. Secondly, we integrate an offline-trained knowledge base for the reliability assessment represented by Bayesian Network or Random Forests. Thirdly, we propose a reliability-aware fusion of various sources at the decision level by applying Dempster-Shafer theory. As a result, our system can solve conflict situations among the sources more satisfyingly. Compared to the average fusion, experiments on real world data verify that our concept can increase the overall performance of automated driving up to 8 percentage points.
The Melanocortin MC5R as a New Target for Treatment of High Glucose-Induced Hypertrophy of the Cardiac H9c2 Cells

The study explored the anti-hypertrophic effect of the melanocortin MC5R stimulation in H9c2 cardiac myocytes exposed to high glucose. This has been done by using α-MSH and selective MC5R agonists and assessing the expression of GLUT4 and GLUT1 transporters, miR-133 and urotensin receptor levels as a marker of cardiac hypertrophy. The study shows for the first time an up-regulation of MC5R expression levels in H9c2 cardiomyocytes exposed to high glucose medium (33 mM D-glucose) for 48 h, compared to cells grown in normal glucose medium (5.5 mM D-glucose). Moreover, H9c2 cells exposed to high glucose showed a significant reduction in cell viability (-40%), a significant increase in total protein per cell number (+109%), and an increase of the urotensin receptor expression levels as an evidence of cells hypertrophy. The pharmacological stimulation of MC5R with α-MSH (90 pM)of the high glucose exposed H9c2 cells increased the cell survival (+50,8%) and reduced the total protein per cell number (-28,2%) with respect to high glucose alone, confirming a reduction of the hypertrophic state as per cell area measurement. Similarly, PG-901 (selective agonist, 10-10 M) significantly increased cell viability (+61,0 %) and reduced total protein per cell number (-40,2%), compared to cells exposed to high glucose alone. Interestingly, the MC5R agonist reduced the GLUT1/GLUT4 glucose transporters ratio on the cell membranes exhibited by the hypertrophic H9c2 cells and increased the intracellular PI3K activity, mediated by a decrease of the levels of the miRNA miR-133a. The beneficial effects of MC5R agonism on the cardiac hypertrophy caused by high glucose was also observed also by echocardiographic evaluations of rats made diabetics with streptozotocin (65 mg/kg i.p.). Therefore, the melanocortin MC5R could be a new target for the treatment of high glucose-induced hypertrophy of the cardiac H9c2 cells.
National Scouting Combine Scores as Performance Predictors in the National Football League

Abstract Vincent, LM, Blissmer, BJ, and Hatfield, DL. National Scouting Combine scores as performance predictors in the National Football League. J Strength Cond Res 33(1): 104–111, 2019—The National Football League (NFL) hosts an annual scouting combine to evaluate the approximately 300 elite college football players who are most likely to be selected in the upcoming NFL draft. Given the public interest, player obligations, coaching staff commitments, and business aspects of the combine, several questions have arose in recent years concerning the applicability of combine scores to eventual draft NFL performance. The primary purpose of this study is to investigate the relationship between specified National Scouting Combine (NSC) scores and measures of performance by player position. A secondary aim was to determine whether correlated variables could predict player performance at the quarterback (QB), running back (RB), wide receiver (WR), defensive end (DE), defensive tackle (DT), and linebacker (LB) positions. Subjects in this study were combine participants between the years 2005–2010 who subsequently played in the NFL. The positional groups investigated were QBs (N = 44), RBs (N = 82), WRs (N = 116), LBs (N = 139), DEs (N = 59), and DTs (N = 72). Combine raw scores for 40-yd dash time, countermovement vertical jump (CMVJ) height, standing long jump (SLJ) distance, and pro-agility time were recorded. Measures of horizontal and vertical power were calculated for the 40-yd dash and CMVJ. Combine scores and on-field positional statistics for the first 4 years for QBs and 3 years of all other players' careers were analyzed to investigate relationships. Significant correlations were shown between at least one combine measure and on-field success at every position. Hierarchal regression showed combine measures could predict between 4% and 62% of the variance for individual on-field variables. Quarterback rushing yards were significantly correlated with 40T, CMVJ, vertical jump power (VJP), vertical jump relative power (VJRP), and horizontal power (HP), and those factors accounted for 62.2% of the total variance. Horizontal power and VJP were predictive of QB rushing attempts (r2 = 0.370). At RB, 40T and SLJ combined were predictive of total rushing yards (r2 = 0.200), rushing attempts (r2 = 0.195), and yards per game (r2 = 0.197). Power variables were predictive of total tackles for DEs' 40HP (r2 = 0.096) and VJP (r2 = 0.018), accounting for a total of 21% of the variance. The current study suggests that combine tests are modest predictors of future performance. Should the NFL change the current NSC testing battery, the addition of horizontal and vertical power measurements, as well as position-specific skill tests are recommended.
Correlates of sexual function among multi-ethnic middle-aged women: results from the Study of Women's Health Across the Nation (SWAN)

Objective: To examine sexual function in a cohort of Baby Boomer women of diverse racial/ethnic backgrounds; to compare differences between pre-and early perimenopausal women; and to identify sociodemographic, health-related, and psychosocial (including psychological, behavioral, and relationship) factors related to sexual function. Design: Six domains of sexual function were studied in 3,167 women in the baseline cohort of the Study of Women's Health Across the Nation (SWAN). Participants were 42 to 52 years old, pre-or early perimenopausal, and not using hormones. The study sample included non-Hispanic white, African American, Hispanic, Chinese, and Japanese women. Results: Early perimenopausal women reported greater pain with intercourse than premenopausal women (P = 0.01), but the two groups did not differ in frequency of sexual intercourse, desire, arousal, or physical or emotional satisfaction. Variables having the greatest association across all outcomes were relationship factors, the perceived importance of sex, attitudes toward aging, and vaginal dryness. Despite controlling for a wide range of variables, we still found ethnic differences for arousal (P < 0.0001), pain (P = 0.03), desire (P < 0.0001), and frequency of sexual intercourse (P = 0.0003). African American women reported higher frequency of sexual intercourse than white women; Hispanic women reported lower physical pleasure and arousal. Chinese women reported more pain and less desire and arousal than the white women, as did the Japanese women, although the only significant difference was for arousal. Conclusions: Relationship variables, attitudes toward sex and aging, vaginal dryness, and cultural background have a greater impact on most aspects of sexual function than the transition to early perimenopause.
Aging Modulates the Influence of Arginase on Endothelial Dysfunction in Obesity

Objective— Arginase can reduce NO availability. In this study, we explored arginase as a determinant of endothelial dysfunction in small arteries from obese patients and its relationship with aging and microvascular remodeling. Approach and Results— Small arteries were dissected after subcutaneous fat biopsies and evaluated on a pressurized micromyograph. Endothelium-dependent vasodilation was assessed by acetylcholine, repeated under L-NAME (N G-nitro-L-arginine-methyl ester), N(&ohgr;)-hydroxy-nor-L-arginine (arginase inhibitor) and gp91ds-tat (NADPH [nicotinamide adenine dinucleotide phosphate oxidase] oxidase inhibitor) in vessels from young (age <30 years) control and obese and old (>30 years) control and obese subjects. Media-lumen ratio and amount of vascular wall fibrosis were used as markers of vascular remodeling. Amount of vascular superoxide anions and NO production were determined with immunofluorescence, whereas arginase expression was quantified using Western blot and quantitative polymerase chain reaction. Obese and older age groups had lower vascular NO, as well as higher media-lumen ratio, wall fibrosis, intravascular superoxide, and blunted inhibitory effect of L-NAME on acetylcholine versus controls and younger age groups. N(&ohgr;)-hydroxy-nor-L-arginine restored the acetylcholine-induced vasodilation in young and, to a lesser extent, in old obese subjects. This effect was abolished by addition of L-NAME. Gp91ds-tat increased the vasodilatory response to N(&ohgr;)-hydroxy-nor-L-arginine in old obese. Superoxide anions and arginase I/II levels were higher in the vascular wall of obese versus controls. Conclusions— Arginase contributes to microvascular endothelial dysfunction in obesity. Its impact is reduced by aging because of higher levels of vascular oxidative stress. Obesity is accompanied by accelerated microvascular remodeling, the extent of which is related to the amount of arginase in the vascular wall.
Awareness and Vaccine Coverage of Hepatitis B among Cameroonian Medical Students

Background The endemic nature of the hepatitis B virus (HBV) in Sub-Saharan Africa is a significant public health problem that places health care providers (medical students inclusive) at increased risk of occupational exposure. However vaccination against HBV is not systematic among medical students in Cameroon. Thus, we sought to evaluate awareness and HBV vaccine coverage among medical students in Cameroon. Methods Using semistructured questionnaire and a cross-sectional approach, medical students from 3 State Universities in Cameroon were evaluated for their knowledge, attitudes, and vaccination status against the HBV. Data were collected over a 3-month period. HBV vaccine status was defined as complete (3 doses), partial (1 and 2 doses), and unvaccinated. Data were entered and analyzed using Epi-info 7. Results There were 714 respondents among whom 186 (26.05%) had been vaccinated at least once against HBV. Sixty-six (9.24%) were partially vaccinated and 120 (16.81%) completely vaccinated. No student had done postvaccination serologic testing to confirm full immunisation. Eighty-three percent (83.00%) of respondents had adequate knowledge on HBV infection and vaccine, while 90.00% had adequate knowledge on HBV transmission. Most medical students had a positive attitude towards the HBV vaccine. The most common negative attitudes were worries about the side effects and fears of being infected by the vaccine. Conclusion Despite adequate knowledge on HBV infection and vaccination only about 1 in 6 medical students had completed the HBV vaccination series. This highlights the need for better health policies aimed at increasing access and coverage of the HBV in at-risk populations like medical students.
14‐3‐3ζ binds to hepatitis B virus protein X and maintains its protein stability in hepatocellular carcinoma cells

14‐3‐3ζ, a phosphopeptide‐binding molecule, is reportedly overexpressed in the cancerous tissues of patients with hepatocellular carcinoma (HCC). Hepatitis B virus (HBV) protein X (HBx) draws intensive attention in HBV‐related HCC because it not only regulates HBV replication, but also promotes carcinogenesis by interacting with various tumor or antitumor molecules. This study is performed to investigate whether and how 14‐3‐3ζ interacts with HBx. The coimmunoprecipitation (Co‐IP) results showed that 14‐3‐3ζ bond to HBx in HBV‐infected Hep3B HCC cells and CSQT‐2 portal vein tumor thrombosis (PVTT) cells. By performing Co‐IP assay in HBV‐free Huh7 cells expressing wild‐type HBx, mutant HBx‐S31A, or HBx‐S31D (serine31 was mutated into alanine31 or aspartic acid31), we found that the phosphorylated serine31 with its near amino acid residues constituted a RPLphosphoS31GP (R, arginine; P, proline; L, leucine; S, serine; G, glycine) motif in HBx for 14‐3‐3ζ docking. This 14‐3‐3ζ‐HBx interaction was partly impaired when Akt signaling transduction was blocked by LY294002. Furthermore, 14‐3‐3ζ silencing augmented HBx ubiquitination and decreased its expression in cancer cells and xenograft tumor. The migratory and invasive abilities of CSQT‐2 cells were inhibited upon 14‐3‐3ζ silencing, whereas partly restored by HBx overexpression. Additionally, 14‐3‐3ζ positively correlated with HBx to be overexpressed in the primary HCC tissues (r = 0.344) and metastatic PVTT (r = 0.348). In summary, findings of this study reveal a novel 14‐3‐3ζ‐HBx interaction in HCC cells and suggest 14‐3‐3ζ as a candidate target for treating HBV‐related HCC.
Machine-learning-based quantitative estimation of soil organic carbon content by VIS/NIR spectroscopy

Soil organic carbon (SOC) is an important soil property that has profound impact on soil quality and plant growth. With 140 soil samples collected from Ebinur Lake Wetland National Nature Reserve, Xinjiang Uyghur Autonomous Region of China, this research evaluated the feasibility of visible/near infrared (VIS/NIR) spectroscopy data (350–2,500 nm) and simulated EO-1 Hyperion data to estimate SOC in arid wetland regions. Three machine learning algorithms including Ant Colony Optimization-interval Partial Least Squares (ACO-iPLS), Recursive Feature Elimination-Support Vector Machine (RF-SVM), and Random Forest (RF) were employed to select spectral features and further estimate SOC. Results indicated that the feature wavelengths pertaining to SOC were mainly within the ranges of 745–910 nm and 1,911–2,254 nm. The combination of RF-SVM and first derivative pre-processing produced the highest estimation accuracy with the optimal values of Rt (correlation coefficient of testing set), RMSEt and RPD of 0.91, 0.27% and 2.41, respectively. The simulated EO-1 Hyperion data combined with Support Vector Machine (SVM) based recursive feature elimination algorithm produced the most accurate estimate of SOC content. For the testing set, Rt was 0.79, RMSEt was 0.19%, and RPD was 1.61. This practice provides an efficient, low-cost approach with potentially high accuracy to estimate SOC contents and hence supports better management and protection strategies for desert wetland ecosystems.
Expanding the Therapeutic Window for CAR T Cell Therapy in Solid Tumors: The Knowns and Unknowns of CAR T Cell Biology

A major obstacle for chimeric antigen receptor (CAR) T cell therapy in solid tumors is the lack of truly tumor-specific target antigens, which translates to the targeting of tumor-associated antigens (TAAs) overexpressed on tumors but shared with normal organs, raising safety concerns. In addition, expression of TAAs in solid tumors is particularly heterogeneous. In this regard, it is critical to deeply understand the sensitivity of CAR T cells, especially against low-density targets and the possible therapeutic window of antigen density targeted by CAR T cells. In this review, we discuss the recent findings of mechanisms of antigen recognition through CAR, including immunological synapse formation, and the impact of target antigen density for induction of distinct T cell functions. We also discuss rational strategies to adjust and expand the therapeutic window for effective and safe targeting of solid tumors by CAR T cell platforms.
Biodistribution and Tumors MRI Contrast Enhancement of Magnetic Nanocubes, Nanoclusters, and Nanorods in Multiple Mice Models

Magnetic resonance imaging (MRI) is a powerful technique for tumor diagnostics. Iron oxide nanoparticles (IONPs) are safe and biocompatible tools that can be used for further enhancing MR tumor contrasting. Although numerous IONPs have been proposed as MRI contrast agents, low delivery rates to tumor site limit its application. IONPs accumulation in malignancies depends on both IONPs characteristics and tumor properties. In the current paper, three differently shaped Pluronic F-127-modified IONPs (nanocubes, nanoclusters, and nanorods) were compared side by side in three murine tumor models (4T1 breast cancer, B16 melanoma, and CT26 colon cancer). Orthotopic B16 tumors demonstrated more efficient IONPs uptake than heterotopic implants. Magnetic nanocubes (MNCb) had the highest r2-relaxivity in vitro (300 mM−1·s−1) compared with magnetic nanoclusters (MNCl, 104 mM−1·s−1) and magnetic nanorods (MNRd, 51 mM−1·s−1). As measured by atomic emission spectroscopy, MNCb also demonstrated better delivery efficiency to tumors (3.79% ID) than MNCl (2.94% ID) and MNRd (1.21% ID). Nevertheless, MNCl overperformed its counterparts in tumor imaging, providing contrast enhancement in 96% of studied malignancies, whereas MNCb and MNRd were detected by MRI in 73% and 63% of tumors, respectively. Maximum MR contrasting efficiency for MNCb and MNCl was around 6-24 hours after systemic administration, whereas for MNRd maximum contrast enhancement was found within first 30 minutes upon treatment. Presumably, MNRd poor MRI performance was due to low r2-relaxivity and rapid clearance by lungs (17.3% ID) immediately after injection. MNCb and MNCl were mainly captured by the liver and spleen without significant accumulation in the lungs, kidneys, and heart. High biocompatibility and profound accumulation in tumor tissues make MNCb and MNCl the promising platforms for MRI-based tumor diagnostics and drug delivery.