the present study investigated the effects of 8-weeks of core stability training on fundamental movement skills in children with low proficiency in both locomotor and object control skills. by using a semi-experimental research design. 30 elementary boy students (means age= 8.89 years, sd= 1.06) were recruited and organized in training (n= 15) and control group (n=15). fundamental movement skil...

Cooperative arms are two or more arms in series which assume the structure of a parallel robot on account of gripping an intermediary object, and are commonly used in accurate assembly industries, coaxialization, movement of object, etc. Gripping an intermediary object is one of the complicated subjects in analysis of cooperative arms, whose analysis is mostly dependent upon the manner the obje...

Automatic processes on seismic data using pattern recognition is one of the interesting fields in geophysical data interpretation. One part is the seismic object detection using different supervised classification methods that finally has an output as a probability cube. Object detection process starts with generating a pickset of two classes labeled as object and non-object and then selecting ...

purpose: the comparison of object relational dimensions and perceived fatherhood relation in divorce demanding and non-demanding individuals. methodology: for this purpose, 122 divorce demanding individuals and 117 non-demanding divorce individuals completed bell object relations inventory (bori) and fatherhood scale (fs). then the data were analyzed by two way anova, using spss-20. findings: r...

The present study investigated the effects of 8-weeks of core stability training on fundamental movement skills in children with low proficiency in both locomotor and object control skills. By using a semi-experimental research design. 30 elementary boy students (means age= 8.89 years, SD= 1.06) were recruited and organized in training (n= 15) and control group (n=15). Fundamental movement skil...

Common video-based object detectors exploit temporal contextual information to improve the performance of detection. However, detecting objects under challenging conditions has not been thoroughly studied yet. In this paper, we focus on improving detection for events such as aspect ratio change, occlusion, or large motion. To end, propose a video network using event-aware ConvLSTM and relation ...