Acute Investigation of Maximal Strength, Power and Rapid Strength Production on Lower Compartment Circuit Resistance Training of International Female Wrestling Athletes

The circuit resistance training is high intense and high load repetition training method completed on different sport modalities for wrestling women. A total of 10 wrestling women age mean 17 yr, height 1.63 m, body mass 54 kg, training experience 10 yrs participated in this study. Equipment and methods: To circuit resistance training determined on 1RM maximal test, gradually increase rapid strength production and lower leg power to CMJ and SJ actualized on six resistance exercises; a) hip flexion (HP), b) ankle inversion (AI), c) squat (SQ), d) hip extension (HE), e) deadlift (DE), and f) ankle eversion (AE) for wrestling women athletes on team professional sport performance. The lower compartment circuit resistance training was provided on advanced maximal load and power performance by 85% of 1RM (6 rep) high training load and (10 repetition – 20 s interval) intensity. Compared to Pre-test and Post-test that lower compartment resistance training concluded increased maximal strength for acute training load repetition and rapid strength load lifting performance and lower leg power resulted to CMJ decreased for wrestling and SJ increased for wrestling, circuit resistance training promoted high resistance load variability and minimum short time recovery on the one session non-periodic exercises performance with strength and power development. Other, experimental results for different sport modalities may be performing on maximal strength and power performance change in short recovery training phase for minimum effort rapid strength performance

Trajectory computational techniques emphasizing existence, uniqueness, and construction of solutions to boundary problems for ordinary differential equations Final report

Trajectory computational techniques emphasizing existence, uniqueness, and construction of solutions to boundary problems for ordinary differential equation

Inertial motion capture based teleoperation of a mobile robot manipulator with a multigrasp hand

Autonomous mobile robots are still not reliable enough for performing complex tasks such as search and rescue, space or undersea exploration and explosive ordnance disposal. Human intelligence is frequently employed for high-level robot decision making and control. Moreover, for most of the cases low-weight and dexterous end-effectors are required for performing delicate tasks efficiently

Inertial motion capture based teleoperation of a mobile robot manipulator with a multigrasp hand

Autonomous mobile robots are still not reliable enough for performing complex tasks such as search and rescue, space or undersea exploration and explosive ordnance disposal. Human intelligence is frequently employed for high-level robot decision making and control. Moreover, for most of the cases low-weight and dexterous end-effectors are required for performing delicate tasks efficiently

Generative discriminative models for multivariate inference and statistical mapping in medical imaging

This paper presents a general framework for obtaining interpretable multivariate discriminative models that allow efficient statistical inference for neuroimage analysis. The framework, termed generative discriminative machine (GDM), augments discriminative models with a generative regularization term. We demonstrate that the proposed formulation can be optimized in closed form and in dual space, allowing efficient computation for high dimensional neuroimaging datasets. Furthermore, we provide an analytic estimation of the null distribution of the model parameters, which enables efficient statistical inference and p-value computation without the need for permutation testing. We compared the proposed method with both purely generative and discriminative learning methods in two large structural magnetic resonance imaging (sMRI) datasets of Alzheimer's disease (AD) (n=415) and Schizophrenia (n=853). Using the AD dataset, we demonstrated the ability of GDM to robustly handle confounding variations. Using Schizophrenia dataset, we demonstrated the ability of GDM to handle multi-site studies. Taken together, the results underline the potential of the proposed approach for neuroimaging analyses.Comment: To appear in MICCAI 2018 proceeding

Effects of inclined baffle location and Prandtl number on natural convection in a cavity

The problem of steady, laminar, conjugate-natural convection in a square cavity with an adiabatic baffle mounted on a vertical wall at different positions is formulated. In this study, natural convection heat transfer in a square cavity with an adiabatic fin mounted on a vertical wall was investigated numerically. Navier-Stokes equations have been performed and they are solved using finite difference method (FDM). Results are obtained for various parameters as the baffle location (0.25 h 0.75), thickness (t=0.033), length of baffle (0.25 w 0.75), Rayleigh numbers (103 Ra 106). Prandtl number values are Pr=0.7, 1 and 7, is investigated. Results were presented with streamlines, isotherms, local and mean Nusselt numbers. It was found that Prandtl number and presence of the baffle on the wall have significant effect on natural convection.Bu çalışmada, düşey duvarına farklı pozisyonlarda adyabatik engel yerleştirilmiş kare bir hacimdeki laminar doğal taşınım ısı transferi formüle edilmiştir. Düşey duvarında engel bulunan kapalı hacimdeki ısı transferi nümerik olarak da incelenmiştir. Navier-Stokes denklemleri kullanılmış ve denklemler sonlu farklar metodu (FDM) ile çözülmüştür. Sonuçlar, engelin farklı yerleşimi (0.25 h 0.75), farklı kalınlığı (t=0.033), farklı uzunluğu (0.25 w 0.75) ve Rayleigh sayıları için (103 Ra 106) sunulmuştur. Prandtl sayısı değeri 0.7, 1 ve 7 alınmıştır. Sonuçlar, akım çizgileri, sıcaklık profilleri, yerel ve ortalama Nusselt sayıları şeklinde gösterilmiştir. Prandtl sayısı ve engelin duvar üzerindeki konumunun, doğal taşınımı önemli derecede etkilediği görülmüştür

Asynchronous Interaction Aggregation for Action Detection

Understanding interaction is an essential part of video action detection. We propose the Asynchronous Interaction Aggregation network (AIA) that leverages different interactions to boost action detection. There are two key designs in it: one is the Interaction Aggregation structure (IA) adopting a uniform paradigm to model and integrate multiple types of interaction; the other is the Asynchronous Memory Update algorithm (AMU) that enables us to achieve better performance by modeling very long-term interaction dynamically without huge computation cost. We provide empirical evidence to show that our network can gain notable accuracy from the integrative interactions and is easy to train end-to-end. Our method reports the new state-of-the-art performance on AVA dataset, with 3.7 mAP gain (12.6% relative improvement) on validation split comparing to our strong baseline. The results on dataset UCF101-24 and EPIC-Kitchens further illustrate the effectiveness of our approach. Source code will be made public at: https://github.com/MVIG-SJTU/AlphAction

The effect of racemic gossypol and AT-101 on angiogenic profile of OVCAR-3 cells: a preliminary molecular framework for gossypol enantiomers

To compare the effect of racemic gossypol with its (–)/(–) enantiomer (AT-101) on expression profiles of angiogenic molecules by mRNA levels in human ovarian cancer cell line OVCAR-3. Methods: Cell viability assay (2,3-bis (2-methoxy-4-nitro-5- sulfophenyl)-5-[(phenylamino) carbonyl]-2H-tetrazolium hydroxide) was used to detect cytotoxicity of gossypol enantiomers. DNA fragmentation by an enzyme-linked immunosorbent (ELISA) assay was used to evaluate the rate of apoptosis. The mRNA expression levels of angiogenic molecules were investigated by Human Angiogenesis RT2 ProfilerTM PCR Array (SuperArray, Frederick, MD). Results: Both racemic form and AT-101 resulted in a significant cytotoxicity and induced apoptosis. This effect was observed in a dose- and time dependent manner. However, AT-101 was much more potent. In addition, the treatment of 10 μM of racemic gossypol alone and 3 μM of AT-101 alone resulted in significant down-regulation (≥ 3 fold) in mRNA levels of some pivotal angiogenic molecules in OVCAR-3, but altered gene profiles were different by the treatment of each enantiomer. Conclusion: The efficacy of two gossypol enantiomers in OVCAR-3 cells showed distinction. AT-101 was much more potent than racemic gossypol, not only by means of cell death and apoptosis, but also by modulation of angiogenic molecules released from OVCAR-3 cells. Further studies with endothelial cells should be done to verify the anti-angiogenic effect of gossypol enantiomers in cancer treatment

Characterizing Heterogeneity in Neuroimaging, Cognition, Clinical Symptoms, and Genetics Among Patients With Late-Life Depression

Importance: Late-life depression (LLD) is characterized by considerable heterogeneity in clinical manifestation. Unraveling such heterogeneity might aid in elucidating etiological mechanisms and support precision and individualized medicine. Objective: To cross-sectionally and longitudinally delineate disease-related heterogeneity in LLD associated with neuroanatomy, cognitive functioning, clinical symptoms, and genetic profiles. Design, Setting, and Participants: The Imaging-Based Coordinate System for Aging and Neurodegenerative Diseases (iSTAGING) study is an international multicenter consortium investigating brain aging in pooled and harmonized data from 13 studies with more than 35 000 participants, including a subset of individuals with major depressive disorder. Multimodal data from a multicenter sample (N = 996), including neuroimaging, neurocognitive assessments, and genetics, were analyzed in this study. A semisupervised clustering method (heterogeneity through discriminative analysis) was applied to regional gray matter (GM) brain volumes to derive dimensional representations. Data were collected from July 2017 to July 2020 and analyzed from July 2020 to December 2021. Main Outcomes and Measures: Two dimensions were identified to delineate LLD-associated heterogeneity in voxelwise GM maps, white matter (WM) fractional anisotropy, neurocognitive functioning, clinical phenotype, and genetics. Results: A total of 501 participants with LLD (mean [SD] age, 67.39 [5.56] years; 332 women) and 495 healthy control individuals (mean [SD] age, 66.53 [5.16] years; 333 women) were included. Patients in dimension 1 demonstrated relatively preserved brain anatomy without WM disruptions relative to healthy control individuals. In contrast, patients in dimension 2 showed widespread brain atrophy and WM integrity disruptions, along with cognitive impairment and higher depression severity. Moreover, 1 de novo independent genetic variant (rs13120336; chromosome: 4, 186387714; minor allele, G) was significantly associated with dimension 1 (odds ratio, 2.35; SE, 0.15; P = 3.14 ×10⁸) but not with dimension 2. The 2 dimensions demonstrated significant single-nucleotide variant–based heritability of 18% to 27% within the general population (N = 12 518 in UK Biobank). In a subset of individuals having longitudinal measurements, those in dimension 2 experienced a more rapid longitudinal change in GM and brain age (Cohen ƒ² = 0.03; P = .02) and were more likely to progress to Alzheimer disease (Cohen ƒ² = 0.03; P = .03) compared with those in dimension 1 (N = 1431 participants and 7224 scans from the Alzheimer’s Disease Neuroimaging Initiative [ADNI], Baltimore Longitudinal Study of Aging [BLSA], and Biomarkers for Older Controls at Risk for Dementia [BIOCARD] data sets). Conclusions and Relevance: This study characterized heterogeneity in LLD into 2 dimensions with distinct neuroanatomical, cognitive, clinical, and genetic profiles. This dimensional approach provides a potential mechanism for investigating the heterogeneity of LLD and the relevance of the latent dimensions to possible disease mechanisms, clinical outcomes, and responses to interventions

To respond or not to respond - a personal perspective of intestinal tolerance

For many years, the intestine was one of the poor relations of the immunology world, being a realm inhabited mostly by specialists and those interested in unusual phenomena. However, this has changed dramatically in recent years with the realization of how important the microbiota is in shaping immune function throughout the body, and almost every major immunology institution now includes the intestine as an area of interest. One of the most important aspects of the intestinal immune system is how it discriminates carefully between harmless and harmful antigens, in particular, its ability to generate active tolerance to materials such as commensal bacteria and food proteins. This phenomenon has been recognized for more than 100 years, and it is essential for preventing inflammatory disease in the intestine, but its basis remains enigmatic. Here, I discuss the progress that has been made in understanding oral tolerance during my 40 years in the field and highlight the topics that will be the focus of future research