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Force-vector training

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https://www.readbyqxmd.com/read/30058461/influence-of-force-vector-and-force-application-plyometric-training-in-young-elite-basketball-players
#1
Oliver Gonzalo-Skok, Jorge Sánchez-Sabaté, Luis Izquierdo-Lupón, Eduardo Sáez de Villarreal
Plyometric training composed by unilateral exercises with horizontal jumping direction seems to be an effective way to improve physical performance in athletes. The present study aimed to compare the influence of a combined jumping direction and force application (horizontal-unilateral vs. vertical-bilateral) plyometric training on linear sprinting, jumping, change of direction (COD) and dynamic balance in young elite basketball players. Twenty young (U-13 to U-14) male basketball players (age: 13.2 ± 0...
July 28, 2018: European Journal of Sport Science
https://www.readbyqxmd.com/read/30048538/vertically-and-horizontally-directed-muscle-power-exercises-relationships-with-top-level-sprint-performance
#2
Irineu Loturco, Bret Contreras, Ronaldo Kobal, Victor Fernandes, Neilton Moura, Felipe Siqueira, Ciro Winckler, Timothy Suchomel, Lucas Adriano Pereira
The capacity to rapidly generate and apply a great amount of force seems to play a key role in sprint running. However, it has recently been shown that, for sprinters, the technical ability to effectively orient the force onto the ground is more important than its total amount. The force-vector theory has been proposed to guide coaches in selecting the most adequate exercises to comprehensively develop the neuromechanical qualities related to the distinct phases of sprinting. This study aimed to compare the relationships between vertically-directed (loaded and unloaded vertical jumps, and half-squat) and horizontally-directed (hip-thrust) exercises and the sprint performance of top-level track and field athletes...
2018: PloS One
https://www.readbyqxmd.com/read/29995792/electromyographic-analysis-of-hip-and-knee-muscles-during-specific-exercise-movements-in-females-with-patellofemoral-pain-syndrome-an-observational-study
#3
Shuya Chen, Wen-Dien Chang, Jhih-Yun Wu, Yi-Chin Fong
Hip muscle strengthening and knee extensor strengthening are common training exercises for patellofemoral pain syndrome (PFPS). PFPS engendered by insufficient hip abductor and external rotator muscle strength has been of interest, but these exercise movements may increase the lateral vector force of the patella warrants clarification. So, the purpose of this study was to assess muscular activations of vastus lateralis (VL), vastus medialis oblique (VMO), and gluteus medius muscles in electromyographic analysis during hip abduction and external rotator movements and open and closed kinetic chain knee extension movements...
July 2018: Medicine (Baltimore)
https://www.readbyqxmd.com/read/29960185/main-force-directions-of-trunk-muscles-a-pilot-study-in-healthy-male-subjects
#4
Christoph Anders, Beatrice Steiniger
Muscles work most effectively along their anatomically defined action vector(s) which has implications in training and therapeutics. Action vectors can easily be identified in extremity muscles and smaller muscles of the trunk, but are less clear in larger trunk muscles. Trunk muscle exercises and diagnostics have traditionally relied on tasks in the sagittal plane - a practice that is being reconsidered. Therefore, this study aimed at identifying main force directions (MFDs) of major trunk muscles expressed in terms of deviation from the sagittal plane...
August 2018: Human Movement Science
https://www.readbyqxmd.com/read/29849551/moisture-damage-modeling-in-lime-and-chemically-modified-asphalt-at-nanolevel-using-ensemble-computational-intelligence
#5
M R Hassan, A Al Mamun, M I Hossain, M Arifuzzaman
This paper measures the adhesion/cohesion force among asphalt molecules at nanoscale level using an Atomic Force Microscopy (AFM) and models the moisture damage by applying state-of-the-art Computational Intelligence (CI) techniques (e.g., artificial neural network (ANN), support vector regression (SVR), and an Adaptive Neuro Fuzzy Inference System (ANFIS)). Various combinations of lime and chemicals as well as dry and wet environments are used to produce different asphalt samples. The parameters that were varied to generate different asphalt samples and measure the corresponding adhesion/cohesion forces are percentage of antistripping agents (e...
2018: Computational Intelligence and Neuroscience
https://www.readbyqxmd.com/read/29771528/host-cell-prediction-of-exosomes-using-morphological-features-on-solid-surfaces-analyzed-by-machine-learning
#6
Kazuki Ito, Yuta Ogawa, Keiji Yokota, Sachiko Matsumura, Tamiko Minamisawa, Kanako Suga, Kiyotaka Shiba, Yasuo Kimura, Ayumi Hirano-Iwata, Yuzuru Takamura, Toshio Ogino
Exosomes are extracellular nanovesicles released from any cells and found in any body fluid. Because exosomes exhibit information of their host cells (secreting cells), their analysis is expected to be a powerful tool for early diagnosis of cancers. To predict the host cells, we extracted multidimensional feature data about size, shape, and deformation of exosomes immobilized on solid surfaces by atomic force microscopy (AFM). The key idea is combination of support vector machine (SVM) learning for individual exosome particles and their interpretation by principal component analysis (PCA)...
June 14, 2018: Journal of Physical Chemistry. B
https://www.readbyqxmd.com/read/29504071/a-3-dof-hemi-constrained-wrist-motion-force-detection-device-for-deploying-simultaneous-myoelectric-control
#7
Wei Yang, Dapeng Yang, Yu Liu, Hong Liu
For describing the state of the wrist, either the force or movement of wrist can be measured as the training target in the simultaneous electromyography control. However, the relationship between the force and movement is so complex that only the force or movement is not precise enough to describe its actual situations. In this paper, we propose a novel platform that can acquire three degrees of freedom (DOF) wrist motion/force synchronously with multi-channel electromyography signals in a hemi-constraint way...
March 5, 2018: Medical & Biological Engineering & Computing
https://www.readbyqxmd.com/read/29486778/a-simulation-study-on-the-effects-of-neuronal-ensemble-properties-on-decoding-algorithms-for-intracortical-brain-machine-interfaces
#8
Min-Ki Kim, Jeong-Woo Sohn, Bongsoo Lee, Sung-Phil Kim
BACKGROUND: Intracortical brain-machine interfaces (BMIs) harness movement information by sensing neuronal activities using chronic microelectrode implants to restore lost functions to patients with paralysis. However, neuronal signals often vary over time, even within a day, forcing one to rebuild a BMI every time they operate it. The term "rebuild" means overall procedures for operating a BMI, such as decoder selection, decoder training, and decoder testing. It gives rise to a practical issue of what decoder should be built for a given neuronal ensemble...
February 27, 2018: Biomedical Engineering Online
https://www.readbyqxmd.com/read/29463307/how-elimination-of-lymphatic-filariasis-as-a-public-health-problem-in-the-kingdom-of-cambodia-was-achieved
#9
Virak Khieu, Vandine Or, Chhakda Tep, Peter Odermatt, Reiko Tsuyuoka, Meng Chuor Char, Molly A Brady, Joshua Sidwell, Aya Yajima, Rekol Huy, Kapa D Ramaiah, Sinuon Muth
BACKGROUND: Endemicity of lymphatic filariasis (LF) in Cambodia was proven in 1956 when microfilariae were detected in mosquitos in the Kratié province. In 2001, an extensive study confirmed the presence of both Brugia malayi and Wuchereria bancrofti microfilariae. In 2003, the Ministry of Health established a national task force to develop policies and strategies for controlling and eliminating neglected tropical diseases (NTDs), with the goal of eliminating LF by 2015. This article summarizes the work accomplished to eliminate LF as a public health problem in Cambodia...
February 20, 2018: Infectious Diseases of Poverty
https://www.readbyqxmd.com/read/29284556/ultrasound-characterization-of-bone-demineralization-using-a-support-vector-machine
#10
Max Denis, Leighton Wan, Mostafa Fatemi, Azra Alizad
We propose an ultrasound-guided remote measurement technique, utilizing an acoustic radiation force beam as our excitation source and a receiving hydrophone, to assess non-invasively a bone's mechanical properties. Features, such as velocity, were extracted from the acoustic pressure received from the bone surface. The typical velocity of an intact bone (3540 m/s) was higher in comparison to that of a demineralized bone (2231 m/s). According to the receiver operating characteristic curve, the optimal velocity cutoff value of ≥3096 m/s yields 80% sensitivity and 82...
March 2018: Ultrasound in Medicine & Biology
https://www.readbyqxmd.com/read/29223897/agricultural-drought-prediction-using-climate-indices-based-on-support-vector-regression-in-xiangjiang-river-basin
#11
Ye Tian, Yue-Ping Xu, Guoqing Wang
Drought can have a substantial impact on the ecosystem and agriculture of the affected region and does harm to local economy. This study aims to analyze the relation between soil moisture and drought and predict agricultural drought in Xiangjiang River basin. The agriculture droughts are presented with the Precipitation-Evapotranspiration Index (SPEI). The Support Vector Regression (SVR) model incorporating climate indices is developed to predict the agricultural droughts. Analysis of climate forcing including El Niño Southern Oscillation and western Pacific subtropical high (WPSH) are carried out to select climate indices...
May 1, 2018: Science of the Total Environment
https://www.readbyqxmd.com/read/29079453/the-effect-of-paddles-on-pressure-and-force-generation-at-the-hand-during-front-crawl
#12
Takaaki Tsunokawa, Tempei Tsuno, Hirotoshi Mankyu, Hideki Takagi, Futoshi Ogita
Through pressure measurement, this study aimed to clarify the effects of hand paddle use on pressure and force generation around the hand during the front crawl. Eight male swimmers performed two trials of front crawl swimming with maximal effort, once using only their hands and once aided by hand paddles. During trials, pressure sensors and underwater motion capture cameras were used together to analyze hand kinematics and pressure forces acting on the hand. Six pressure sensors were attached to the right hand, and pressure forces acting on the right hand were estimated by multiplying the areas and the pressure differences between the palm side and dorsal side of the hand...
February 2018: Human Movement Science
https://www.readbyqxmd.com/read/29035220/robot-training-with-vector-fields-based-on-stroke-survivors-individual-movement-statistics
#13
Zachary A Wright, Emily Lazzaro, Kelly O Thielbar, James L Patton, Felix C Huang
The wide variation in upper extremity motor impairments among stroke survivors necessitates more intelligent methods of customized therapy. However, current strategies for characterizing individual motor impairments are limited by the use of traditional clinical assessments (e.g., Fugl-Meyer) and simple engineering metrics (e.g., goal-directed performance). Our overall approach is to statistically identify the range of volitional movement capabilities, and then apply a robot-applied force vector field intervention that encourages under-expressed movements...
February 2018: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://www.readbyqxmd.com/read/28816680/admm-based-algorithm-for-training-fault-tolerant-rbf-networks-and-selecting-centers
#14
Hao Wang, Ruibin Feng, Zi-Fa Han, Chi-Sing Leung
In the training stage of radial basis function (RBF) networks, we need to select some suitable RBF centers first. However, many existing center selection algorithms were designed for the fault-free situation. This brief develops a fault tolerant algorithm that trains an RBF network and selects the RBF centers simultaneously. We first select all the input vectors from the training set as the RBF centers. Afterward, we define the corresponding fault tolerant objective function. We then add an -norm term into the objective function...
August 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/28508076/machine-learning-of-accurate-energy-conserving-molecular-force-fields
#15
Stefan Chmiela, Alexandre Tkatchenko, Huziel E Sauceda, Igor Poltavsky, Kristof T Schütt, Klaus-Robert Müller
Using conservation of energy-a fundamental property of closed classical and quantum mechanical systems-we develop an efficient gradient-domain machine learning (GDML) approach to construct accurate molecular force fields using a restricted number of samples from ab initio molecular dynamics (AIMD) trajectories. The GDML implementation is able to reproduce global potential energy surfaces of intermediate-sized molecules with an accuracy of 0.3 kcal mol-1 for energies and 1 kcal mol-1 Å̊-1 for atomic forces using only 1000 conformational geometries for training...
May 2017: Science Advances
https://www.readbyqxmd.com/read/28507695/ani-1-an-extensible-neural-network-potential-with-dft-accuracy-at-force-field-computational-cost
#16
J S Smith, O Isayev, A E Roitberg
Deep learning is revolutionizing many areas of science and technology, especially image, text, and speech recognition. In this paper, we demonstrate how a deep neural network (NN) trained on quantum mechanical (QM) DFT calculations can learn an accurate and transferable potential for organic molecules. We introduce ANAKIN-ME (Accurate NeurAl networK engINe for Molecular Energies) or ANI for short. ANI is a new method designed with the intent of developing transferable neural network potentials that utilize a highly-modified version of the Behler and Parrinello symmetry functions to build single-atom atomic environment vectors (AEV) as a molecular representation...
April 1, 2017: Chemical Science
https://www.readbyqxmd.com/read/28203220/proof-of-concept-of-an-online-emg-based-decoding-of-hand-postures-and-individual-digit-forces-for-prosthetic-hand-control
#17
Alycia Gailey, Panagiotis Artemiadis, Marco Santello
INTRODUCTION: Options currently available to individuals with upper limb loss range from prosthetic hands that can perform many movements, but require more cognitive effort to control, to simpler terminal devices with limited functional abilities. We attempted to address this issue by designing a myoelectric control system to modulate prosthetic hand posture and digit force distribution. METHODS: We recorded surface electromyographic (EMG) signals from five forearm muscles in eight able-bodied subjects while they modulated hand posture and the flexion force distribution of individual fingers...
2017: Frontiers in Neurology
https://www.readbyqxmd.com/read/28178317/novel-approach-to-continuous-adventitious-respiratory-sound-analysis-for-the-assessment-of-bronchodilator-response
#18
Manuel Lozano-García, José Antonio Fiz, Carlos Martínez-Rivera, Aurora Torrents, Juan Ruiz-Manzano, Raimon Jané
BACKGROUND: A thorough analysis of continuous adventitious sounds (CAS) can provide distinct and complementary information about bronchodilator response (BDR), beyond that provided by spirometry. Nevertheless, previous approaches to CAS analysis were limited by certain methodology issues. The aim of this study is to propose a new integrated approach to CAS analysis that contributes to improving the assessment of BDR in clinical practice for asthma patients. METHODS: Respiratory sounds and flow were recorded in 25 subjects, including 7 asthma patients with positive BDR (BDR+), assessed by spirometry, 13 asthma patients with negative BDR (BDR-), and 5 controls...
2017: PloS One
https://www.readbyqxmd.com/read/27720236/evaluation-of-foot-position-and-orientation-as-manipulated-variables-to-control-external-knee-adduction-moments-in-leg-extension-training
#19
Melanie Kolditz, Thivaharan Albin, Dirk Abel, Alessandro Fasse, Gert-Peter Brüggemann, Kirsten Albracht
BACKGROUND AND OBJECTIVE: Effective leg extension training at a leg press requires high forces, which need to be controlled to avoid training-induced damage. In order to avoid high external knee adduction moments, which are one reason for unphysiological loadings on knee joint structures, both training movements and the whole reaction force vector need to be observed. In this study, the applicability of lateral and medial changes in foot orientation and position as possible manipulated variables to control external knee adduction moments is investigated...
September 27, 2016: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/27698659/fracture-mechanics-method-for-word-embedding-generation-of-neural-probabilistic-linguistic-model
#20
Size Bi, Xiao Liang, Ting-Lei Huang
Word embedding, a lexical vector representation generated via the neural linguistic model (NLM), is empirically demonstrated to be appropriate for improvement of the performance of traditional language model. However, the supreme dimensionality that is inherent in NLM contributes to the problems of hyperparameters and long-time training in modeling. Here, we propose a force-directed method to improve such problems for simplifying the generation of word embedding. In this framework, each word is assumed as a point in the real world; thus it can approximately simulate the physical movement following certain mechanics...
2016: Computational Intelligence and Neuroscience
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