Defining Mobile Tech Posture: Prevalence and Position Among Millennials

Background: Mobile technologies have revolutionized daily life, significantly impacting ADLs and IADLs, as well as use of the hand and upper extremity. The primary objectives of this study are to (a) provide a formal goniometric description of mobile tech posture and (b) examine the prevalence of this sub-optimal posture among a group of graduate students. Method: This study used a cross-sectional study design. Comprehensive goniometric measurements of the neck and upper extremity were taken with participants (N = 46) using their mobile devices while texting or using the Internet. Handheld usage data from the iPhone Screen Time feature (iOS 12) was collected from a sample of healthy young adults. Results: The participants spent an average of 143 min per day using mobile technology. Comprehensive goniometric measurements highlighted positions of clinical concern, including cervical spine flexion, scapular protraction, elbow flexion, and wrist ulnar deviation with thumb flexion. Discussion: Findings aligned with prior research suggesting several hr per day of handheld mobile technology use among young adults. Mobile tech posture, as described by goniometric trends, includes several positions of concern for musculoskeletal imbalance or cumulative trauma disorders (e.g., cubital tunnel syndrome; De Quervain’s tenosynovitis). Further research is recommended to examine broader societal trends and impact on occupational performance

Sparking Innovations in Management

{Excerpt} Gary Hamel defines management innovation as a marked departure from traditional management principles, processes, and practices (or a departure from customary organizational forms that significantly alters the way the work of management is performed). He deems it the prime driver of sustainable competitive advantage in the 21st century

Semantic Matchmaking as Non-Monotonic Reasoning: A Description Logic Approach

Matchmaking arises when supply and demand meet in an electronic marketplace, or when agents search for a web service to perform some task, or even when recruiting agencies match curricula and job profiles. In such open environments, the objective of a matchmaking process is to discover best available offers to a given request. We address the problem of matchmaking from a knowledge representation perspective, with a formalization based on Description Logics. We devise Concept Abduction and Concept Contraction as non-monotonic inferences in Description Logics suitable for modeling matchmaking in a logical framework, and prove some related complexity results. We also present reasonable algorithms for semantic matchmaking based on the devised inferences, and prove that they obey to some commonsense properties. Finally, we report on the implementation of the proposed matchmaking framework, which has been used both as a mediator in e-marketplaces and for semantic web services discovery

Responding to Cross Border Child Trafficking in South Asia: An Analysis of the Feasibility of a Technologically Enabled Missing Child Alert System

This report examines the feasibility of a technologically enabled system to help respond to the phenomenon of cross-border child trafficking in South Asia, and makes recommendations on how to proceed with a pilot project in the selected areas of Bangladesh, Nepal and India. The study was commissioned by the Missing Child Alert (MCA) programme which is an initiative led by Plan. MCA is an initiative to address cross-border child trafficking in South Asia, led by Plan. The aim of the programme is to link existing institutions, mechanisms and resources in order to tackle the phenomenon from a regional perspective. To achieve this, Plan propose to implement a technologically equipped, institutionalised system of alert that can assist in the rescue, rehabilitation, repatriation and reintegration of children who are at risk of, or are victims of, cross-border trafficking