New perspectives in human movement variability

Movement variability is defined as the normal variations that occur in motor performance across multiple repetitions of a task.2 Bernstein1 described movement variability quite eloquently as ‘‘repetition without repetition.’’ Traditionally, movement variability has been linked to noise and error, being considered to be random and independent. This theoretical approach blends well with traditional statistical and assessment methods of movement variability that assume randomness and independence of observations. However, numerous studies have indicated that when movement is observed over time variations are closely related with each other neither being random nor independent. Practically, traditional methods can mask the temporal structure of movement variability and contain little information about how movement changes over time

Collaborative Research In Service Science: Quality And Innovation

The unprecedented shift in customer, corporate and societal demand for services and the management of corresponding resources has created a critical need for research, education, and outreach in service systems. Universities worldwide are addressing this need through the establishment of collaborative research centers, such as the Center for Services Science, Quality and Innovation (SSQI) at Virginia Tech. This paper discusses service science as a promising field of research and suggests opportunities for collaboration across disciplines, institutions and cultures

An Approach to Validation of Fuzzy Qualitative Temporal Relations

A geometrical approach to validation of fuzzy temporal relations between fuzzy time primitives, based on the possibility and necessity measures are proposed. Fuzzy temporal relations between fuzzy time points and fuzzy time point and fuzzy time interval are considered. The same approach can be used for evaluation of relation between two fuzzy intervals. An example of validation of temporal relations between a fuzzy time point and fuzzy time interval is given

Using Translation Memory to Speed up Translation Process

Translation process is one aspect of human creativity. Due to globalization, EU accession negotiations, and the need for information exchange, the amount of translation work increases on a daily basis. The translation process is hindered by the fact that the languages involved differ culturally, stylistically, syntactically and lexically. This paper explores the benefits and limitations of TMs (translation memories). TMs are not used for replacing humans in the translation process, but rather for enhancing the human translation process. In this paper, a detailed analysis of Atril’s Déjà Vu X system is presented, along with its time-saving implications, which are based on the reuse of previously stored segments. Excerpts from three different digital camera user manuals are translated from English into Croatian. Evaluation is performed by measuring the time difference between human and TM-based translation speeds in preparation, translation, and revision phases, and with regard to six different parameters

Classifying Step and Spin Turns Using Wireless Gyroscopes and Implications for Fall Risk Assessments

abstract: Recent studies have reported a greater prevalence of spin turns, which are more unstable than step turns, in older adults compared to young adults in laboratory settings. Currently, turning strategies can only be identified through visual observation, either in-person or through video. This paper presents two unique methods and their combination to remotely monitor turning behavior using three uniaxial gyroscopes. Five young adults performed 90° turns at slow, normal, and fast walking speeds around a variety of obstacles while instrumented with three IMUs (attached on the trunk, left and right shank). Raw data from 360 trials were analyzed. Compared to visual classification, the two IMU methods’ sensitivity/specificity to detecting spin turns were 76.1%/76.7% and 76.1%/84.4%, respectively. When the two methods were combined, the IMU had an overall 86.8% sensitivity and 92.2% specificity, with 89.4%/100% sensitivity/specificity at slow speeds. This combined method can be implemented into wireless fall prevention systems and used to identify increased use of spin turns. This method allows for longitudinal monitoring of turning strategies and allows researchers to test for potential associations between the frequency of spin turns and clinically relevant outcomes (e.g., falls) in non-laboratory settings

MODEL FOR ONLINE WEB REPORTING SYSTEM OF BOOKKEEPING SERVICE AND EFFECTS THEREOF

Jedan od ključnih problema modernih knjigovodstvenih servisa (KS) je klasični problem tzv. „Mini – Max“, tj. kako u realnom vremenu sa što manje zaposlenika obraditi poslovne podatke i pružiti ugovorenu uslugu što većem broju poslovnih subjekata (klijenata). Što je KS veći, poslužuje veći broj klijenata i ima veći broj zaposlenika, navedeni problem postaje sve izraženiji. Bez obzira što su klijenti KS-a uglavnom mali poslovni subjekti, zbog brzog razvoja i velikih mogućnosti web i mobilne tehnologije te rastuće potrebe za informacijama o poslovanju u realnom vremenu, u odnosu na očekivanu uslugu KS-a klijenti postaju sve zahtjevniji. S ciljem optimalnog zadovoljavanja potreba klijenata i postizanja optimalne razine produktivnosti rada zaposlenika, KS nužno treba transformaciju svog informacijskog sustava iz zatvorenog u za klijente otvoreni sustav realiziran primjenom web tehnologije i dostupan 24 sata u realnom vremenu. Sukladno navedenom, prvi cilj ovog rada je prikaz konceptualnog modela novog međuodnosa s povratnom vezom između KS-a i njegovih klijenata u realnom vremenu, baziran na primjeni web aplikacije, koji rješava navedene probleme, ima veliki potencijal i otvara nove mogućnosti i uloge kako za KS tako i za njegove klijente. Drugi cilj je prikaz modela i efekata primjene online web izvještajnog sustava za klijente odabranog većeg KS-a.One of the key problems of modern bookkeeping services (BS) is actually an old problem, known as \u27\u27Mini – Max\u27\u27, i.e. how to process business data in real time with as few employees as possible and how to provide the contracted service to as many business operators (clients) as possible. The larger the BS, the bigger the problem, because in that case it provides service to more clients and has more employees. Regardless of the fact that BS\u27s clients are mainly small business operators, they have become growingly demanding when it comes to the expected quality of service. This is due to the fast development and great opportunities of the web and mobile technologies and also to the growing need for information on doing business in real time.. In order to meet clients\u27 needs the best way possible, and achieve optimal level of employees\u27 productivity BS definitely needs transformation of its information system from a closed system to the ona that is open to clients through application of web technology and 24/7 accessibility in real time. In line with the above, this paper primarily aims to demonstrate the conceptual model for the newly established interrelation and feedback between BS and its clients in real time. The model is based on implementaion of web application, it provides solutions to the abovementioned problems, has a great potential, and opens new possibilities and functions both to BS and its clients. The second goal is to describe the model and the effects of application of online web reporting system to the clients of the selected larger BS

Joint Distribution and Transitions of Pain and Activity in Critically Ill Patients

Pain and physical function are both essential indices of recovery in critically ill patients in the Intensive Care Units (ICU). Simultaneous monitoring of pain intensity and patient activity can be important for determining which analgesic interventions can optimize mobility and function, while minimizing opioid harm. Nonetheless, so far, our knowledge of the relation between pain and activity has been limited to manual and sporadic activity assessments. In recent years, wearable devices equipped with 3-axis accelerometers have been used in many domains to provide a continuous and automated measure of mobility and physical activity. In this study, we collected activity intensity data from 57 ICU patients, using the Actigraph GT3X device. We also collected relevant clinical information, including nurse assessments of pain intensity, recorded every 1-4 hours. Our results show the joint distribution and state transition of joint activity and pain states in critically ill patients.Comment: Accepted for Publication in EMBC 202