FOOT FUNCTION ASSESSMENT THROUGH KINEMATIC AND KINETIC ANALYSIS

The purpose of this study was to investigate toes’ function while performing barefoot and shod running between habitually unshod and shod runners. Seven habitually male shod runners and six habitually male barefoot runners participated the running test. Kinematic and kinetic analysis were synchronously conducted. The habitually unshod runners showed significantly higher ankle eversion-to-inversion angle in the pushing-off phase than habitually shod runners. And forefoot loading reduced as the big toe of habitually unshod runners pushing ground under shod condition, with similar function of other toes among habitually shod runners. It is noted that the work of big toe and other toes lead to the decreased loading to the forefoot. This might be beneficial for the prevention of foot injuries, like plantar fasciitis and metatarsal fatigue fracture

A LONGITUDINAL ANALYSIS OF CENTER OF PRESSURE IN PREGNANT GAIT THROUGHOUT PREGNANCY AND POST-PARTUM

The changes of physiological and morphological during pregnancy muld lead to gait pattern's changes. The aim of this study was to analysis the variation of pregnancy gait balance. Sixteen healthy pregnant women by choosing were performed during the second and third trimesters and again post-partum. Novel EMED was used for measuring the trajectory of the centre of pressure (COP). The results revealed that COP deviation distance (Dn) significantly increase in third trimester compared with post-partum during the initial contact phase (P=0.038). No differences were observed in the deviation distance of trimesters and postpartum during the forefoot push off phase. This method and results maybe have a new sight to reveal the dynamic stability with advanced pregnancy

Effects of Different Soccer Stud Configurations on Knee Kinematlcs and Shoe-Surface Traction of Sidestep Cutting Movement on Natural Grass

The purpose of this study was to inwstigate the effect of different stud configuration on knee joint kinematics of sidestep cutting movement on natural grass. A total of 14 amateur soccer players participated in the tests. Participants were asked to complete tasks of 45" sidestep cutting at the speed of 5.0M+-2m/s on natural grass. They selected soccer s h m with firm ground design (FG), artificial ground design (AG) and turf cleats (TF) randomly. During 45" cut, peak knee flexion (p less than 0.001) and abduction angles (

BlOMECHANlCAL ANALYSIS OF VERTICAL JUMP WITH DIFFERENT FOREFOOT MORPHOLOGY

This study examined biomechanical differences between habitually barefoot male and habitually shod male during vertical jump. Foot morphology was measured with Easy-Foot-Scan. Foot kinetics and ankle kinematics were obtained from EMED pressure platform and Vicon motion analysis system as completing vertical jumps under barefoot condition. The results showed that habitually barefoot subjects had a significantly larger minimal distance between hallux and other toes. habitually unshod subjects showed larger loading under hallux and medial forefoot, while habitually shod subjects presented larger loading under medial and central forefoot. in addition, habitually barefoot male had smaller ankle plantarflexion, eversion and external rotation during vertical jump. Differences of kinematics and kinetics during vertical jump might attribute to the morphological differences in the toes region, which possibly explain the foot injury risks between habitually barefoot and habitually shod individuals

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

Large Language Models (LLMs) have demonstrated proficiency in addressing tasks that necessitate a combination of task planning and the usage of external tools that require a blend of task planning and the utilization of external tools, such as APIs. However, real-world complex systems present three prevalent challenges concerning task planning and tool usage: (1) The real system usually has a vast array of APIs, so it is impossible to feed the descriptions of all APIs to the prompt of LLMs as the token length is limited; (2) the real system is designed for handling complex tasks, and the base LLMs can hardly plan a correct sub-task order and API-calling order for such tasks; (3) Similar semantics and functionalities among APIs in real systems create challenges for both LLMs and even humans in distinguishing between them. In response, this paper introduces a comprehensive framework aimed at enhancing the Task Planning and Tool Usage (TPTU) abilities of LLM-based agents operating within real-world systems. Our framework comprises three key components designed to address these challenges: (1) the API Retriever selects the most pertinent APIs for the user task among the extensive array available; (2) LLM Finetuner tunes a base LLM so that the finetuned LLM can be more capable for task planning and API calling; (3) the Demo Selector adaptively retrieves different demonstrations related to hard-to-distinguish APIs, which is further used for in-context learning to boost the final performance. We validate our methods using a real-world commercial system as well as an open-sourced academic dataset, and the outcomes clearly showcase the efficacy of each individual component as well as the integrated framework

A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

We describe a genetic variation map for the chicken genome containing 2.8 million single-nucleotide polymorphisms ( SNPs). This map is based on a comparison of the sequences of three domestic chicken breeds ( a broiler, a layer and a Chinese silkie) with that of their wild ancestor, red jungle fowl. Subsequent experiments indicate that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds. Mean nucleotide diversity is about five SNPs per kilobase for almost every possible comparison between red jungle fowl and domestic lines, between two different domestic lines, and within domestic lines - in contrast to the notion that domestic animals are highly inbred relative to their wild ancestors. In fact, most of the SNPs originated before domestication, and there is little evidence of selective sweeps for adaptive alleles on length scales greater than 100 kilobases

The diploid genome sequence of an Asian individual

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual's genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics

Potential of Core-Collapse Supernova Neutrino Detection at JUNO

JUNO is an underground neutrino observatory under construction in Jiangmen, China. It uses 20kton liquid scintillator as target, which enables it to detect supernova burst neutrinos of a large statistics for the next galactic core-collapse supernova (CCSN) and also pre-supernova neutrinos from the nearby CCSN progenitors. All flavors of supernova burst neutrinos can be detected by JUNO via several interaction channels, including inverse beta decay, elastic scattering on electron and proton, interactions on C12 nuclei, etc. This retains the possibility for JUNO to reconstruct the energy spectra of supernova burst neutrinos of all flavors. The real time monitoring systems based on FPGA and DAQ are under development in JUNO, which allow prompt alert and trigger-less data acquisition of CCSN events. The alert performances of both monitoring systems have been thoroughly studied using simulations. Moreover, once a CCSN is tagged, the system can give fast characterizations, such as directionality and light curve