Internet use has seriously affected individual health in potential and subtle ways. Past research on the subject mainly concentrated mental caused by addictive use, e.g., impulse control disorders obsessive-compulsive disorder. With constant development of cyber technology, been an indispensable element living working, which can provide more convenient efficient support help. At same time, effects than addiction cannot be ignored working. This paper aims to identify most common physical...

Acupoints (APs) prove to have positive effects on disease diagnosis and treatment, while intelligent techniques for the automatic detection of APs are not yet mature, making them more dependent manual positioning. In this paper, we realize skin conductance-based non-APs recognition with machine learning, which could assist in localization clinical practice. Firstly, collect conductance traditional Five-Shu Point their corresponding wearable sensors, establishing a dataset containing over...

The aim of our study was to further develop an understanding organizational climate in knowledge sharing. We first developed a research model which three factors (friendly relation, innovation and fairness) were combined with the social cognitive theory. After developing measurement tool, we collected 142 effective questionnaires about developers from IT enterprises south China, examined revised by using confirmatory factoring analysis. found that , enterprises, relations, fairness),...

Cyberspace is a new basic space after the three traditional spaces-physical, social, and thinking spaces (PST spaces). It trend that entities (objects) PST they are living in to be cyberized. On one hand, rapidly developing of cyberspace has increasingly significant influences spaces. other cyberization objects have been continuously deepening strengthening. Cyberization leads convergence four spaces, which also called cyber-enabled physical-social-thinking (CPST In recent years, philosophy...

Space and time are crucial characteristics of the physical objects. Considering only spatial dimension will lead to an ambiguity when objects mapped from world cyber world, therefore temporal logical dimensions also should be addressed in mapping process. In this context we propose STLF, a spatial-temporal-logical framework that observe relations holds among space properly map them cyberspace, furthermore, discuss methods object's changing properties, conclude by advocating Perdurance-based mapping.

Intrafirm networks enable service employees to transform market orientation behaviours into innovation behaviours. Few studies, however, have investigated how network centrality in intrafirm can moderate this relationship. This paper investigates leverage their popularity three types of social networks: advice, friendship, and multiplex networks. The findings a multi-source, multilevel study among 1175 embedded 60 firms demonstrate the important role multiplex-network centrality. Employees...

To apply the algorithms in Internet of Things for physical world objects, relationship between objects is becoming more and complicated. As we know, social widely used human to solve multiple object problems. Thus, a way via combining with problem huge number or complicated interactions among has been analyzed. This article proposes new concept “Physical Objects’ Social Relationship” describing, managing, predicting relationships Things. The classification method objects’ proposed using...

Informal knowledge transfer among individuals is a crucial section of organization management. Based on theories transfer, the hypotheses influence social capital to informal were proposed. By empirical study, this paper verified and revised model, revealed that three dimensions not only have direct significant effect performance individuals, but also an indirect by impacting opportunities, motives ability respectively. The results obtained in study can provide some useful guidance for...

Communities of practices (Cops) can improve organizational performance by effectively promoting knowledge diffusion, and recently they were receiving increasing attention from organizations in abroad. The aim our study was to further explore how cultivate support practice. According some literatures, we first studied what is the most important influencing factor diffusion communities On basis weighted small-world network, made a on network practice, proposed use characteristic relationship...

Background: Although unplanned hospital readmission is an important indicator for monitoring the perioperative quality of care, few published studies have focused on surgical patient populations, especially in elderly. We aimed to investigate if machine learning approaches can be used predict postoperative 30-day old patients. Methods: extracted demographic, comorbidity, laboratory, surgical, and medication data elderly patients older than 65 who underwent surgeries under general anesthesia...

Abstract Background Postoperative major adverse cardiovascular events (MACEs) account for more than one-third of perioperative deaths. Geriatric patients are vulnerable to postoperative MACEs younger patients. Identifying high-risk in advance can help with clinical decision making and improve prognosis. This study aimed develop a machine learning model the preoperative prediction geriatric Methods We collected patients’ data laboratory tests prospectively. All over 65 years who underwent...

Although intrafirm interactions among colleagues were acknowledged as critical for Market Orientation (MO) adoption by prior research, no empirical study has addressed the actual role of such in link between MO and innovation. Given that innovation are two core issues marketing this limitation creates a gap both understanding its relationship with Drawing from literature, authors developed tested theoretical model, which explained individual’s under influence interaction networks. Two types...