scholarly journals Development of an Automatic Alpine Skiing Turn Detection Algorithm Based on a Simple Sensor Setup

Sensors ◽  
2019 ◽  
Vol 19 (4) ◽  
pp. 902 ◽  
Author(s):  
Aaron Martínez ◽  
Rüdiger Jahnel ◽  
Michael Buchecker ◽  
Cory Snyder ◽  
Richard Brunauer ◽  
...  
Keyword(s):  
Detection Algorithm ◽  
Simple System ◽  
Sensor Technology ◽  
Alpine Skiing ◽  
Video Recordings ◽  
Recent Developments ◽  
Set Up ◽  
Insight Into ◽  
Anterior Posterior

In order to gain insight into skiing performance, it is necessary to determine the point where each turn begins. Recent developments in sensor technology have made it possible to develop simpler automatic turn detection methodologies, however they are not feasible for regular use. The aim of this study was to develop a sensor set up and an algorithm to precisely detect turns during alpine ski, which is feasible for a daily use. An IMU was attached to the posterior upper cuff of each ski boot. Turn movements were reproduced on a ski-ergometer at different turn durations and slopes. Algorithms were developed to analyze vertical, medio-lateral, anterior-posterior axes, and resultant accelerometer and gyroscope signals. Raw signals, and signals filtered with 3, 6, 9, and 12 Hz cut-offs were used to identify turn switch points. Video recordings were assessed to establish a reference turn-switch and precision (mean bias = 5.2, LoA = 51.4 ms). Precision was adjusted based on reference and the best signals were selected. The z-axis and resultant gyroscope signals, filtered at 3Hz are the most precise signals (0.056 and 0.063 s, respectively) to automatically detect turn switches during alpine skiing using this simple system.

Interviews and Observation to Investigate Health Effects from Using Non-Keyboard Input Devices (NKID)

2000 ◽  
Vol 44 (30) ◽  
pp. 5-569-5-572 ◽  
Author(s):  
S Hastings ◽  
V Woods ◽  
R A Haslam ◽  
P Buckle
Keyword(s):  
Observational Data ◽  
Input Device ◽  
Input Devices ◽  
Keyboard Input ◽  
Video Recordings ◽  
Wide Range ◽  
Set Up ◽  
Depth Interviews ◽  
Initial Results ◽  
Insight Into

In-depth interviews and observations have been undertaken with intensive and non-intensive non-keyboard input device (NKID) users. Fifty individuals at ten organisations were interviewed to gain insight into how users arrange their workstations and use NKID in connection with different tasks. Observational data have also been collected on posture and workstation set-up, with video recordings at all sites. Initial results are presented here based on the first twenty-five interviews. A wide range of NKID was seen at the organisations visited including the mouse, touchscreen, joystick, trackball, and tablet and pen. Users reported a range of problems associated with the use of some devices: maintenance issues, device responsiveness and size of devices were some of those mentioned. Musculoskeletal pain and discomfort was also reported, particularly in mouse users n=9 (36%) with reports of weakness, stiffness and discomfort in the hands and wrist. An important observation was the variety of configurations of workstation furniture and equipment, which in some cases, constrained the position of the input device in relation to the user. This may result in the users having to work with the input device at some distance away from their body.

Continuous Quantitative Monitoring of Mural, Platelet-Dependent, Thrombus Kinetics in the Crushed Rat Femoral Vein

1991 ◽  
Vol 65 (04) ◽  
pp. 425-431 ◽  
Author(s):  
F Stockmans ◽  
H Deckmyn ◽  
J Gruwez ◽  
J Vermylen ◽  
R Acland
Keyword(s):  
Thrombus Formation ◽  
Femoral Vein ◽  
Maximum Size ◽  
Digital Analysis ◽  
Video Recordings ◽  
Quantitative Monitoring ◽  
Set Up ◽  
Kinetics Of ◽  
Quantitative Nature

SummaryA new in vivo method to study the size and dynamics of a growing mural thrombus was set up in the rat femoral vein. The method uses a standardized crush injury to induce a thrombus, and a newly developed transilluminator combined with digital analysis of video recordings. Thrombi in this model formed rapidly, reaching a maximum size 391 ± 35 sec following injury, after which they degraded with a half-life of 197 ± 31 sec. Histological examination indicated that the thrombi consisted mainly of platelets. The quantitative nature of the transillumination technique was demonstrated by simultaneous measurement of the incorporation of 111In labeled platelets into the thrombus. Thrombus formation, studied at 30 min interval in both femoral veins, showed satisfactory reproducibility overall and within a given animalWith this method we were able to induce a thrombus using a clinically relevant injury and to monitor continuously and reproducibly the kinetics of thrombus formation in a vessel of clinically and surgically relevant size

No fear of George Kingsley Zipf

10.1558/37291 ◽  
2018 ◽  
Vol 2 (2) ◽  
pp. 242-263
Author(s):  
Stefano Rastelli ◽  
Kook-Hee Gil
Keyword(s):  
Minimalist Program ◽  
Classroom Research ◽  
Language Design ◽  
Efficient Computation ◽  
Generative Linguistics ◽  
The Third ◽  
Factor Effect ◽  
Language Classroom ◽  
Recent Developments ◽  
Insight Into

This paper offers a new insight into GenSLA classroom research in light of recent developments in the Minimalist Program (MP). Recent research in GenSLA has shown how generative linguistics and acquisition studies can inform the language classroom, mostly focusing on what linguistic aspects of target properties should be integrated as a part of the classroom input. Based on insights from Chomsky’s ‘three factors for language design’ – which bring together the Faculty of Language, input and general principles of economy and efficient computation (the third factor effect) for language development – we put forward a theoretical rationale for how classroom research can offer a unique environment to test the learnability in L2 through the statistical enhancement of the input to which learners are exposed.

Teacher digital competence: bringing education to the next level

2020 ◽  
Vol 11 (1) ◽  
pp. 22-26
Author(s):  
S.V. Tsymbal ◽  
Keyword(s):  
Deep Learning ◽  
Learning Experiences ◽  
Digital Competence ◽  
Digital Revolution ◽  
Access Information ◽  
Set Up ◽  
Insight Into ◽  
The Way

The digital revolution has transformed the way people access information, communicate and learn. It is teachers' responsibility to set up environments and opportunities for deep learning experiences that can uncover and boost learners’ capacities. Twentyfirst century competences can be seen as necessary to navigate contemporary and future life, shaped by technology that changes workplaces and lifestyles. This study explores the concept of digital competence and provide insight into the European Framework for the Digital Competence of Educators.

Green Synthesized Nanomaterials as Theranostic Platforms for Cancer Treatment: Principles, Challenges and the Road Ahead

2019 ◽  
Vol 26 (8) ◽  
pp. 1311-1327 ◽  
Author(s):  
Pala Rajasekharreddy ◽  
Chao Huang ◽  
Siddhardha Busi ◽  
Jobina Rajkumari ◽  
Ming-Hong Tai ◽  
...  
Keyword(s):  
Nanoparticle Synthesis ◽  
Research Field ◽  
Synthesis Methods ◽  
Synthetic Approach ◽  
Future Directions ◽  
The Road ◽  
New Methods ◽  
Recent Developments ◽  
Theranostic Applications ◽  
Insight Into

With the emergence of nanotechnology, new methods have been developed for engineering various nanoparticles for biomedical applications. Nanotheranostics is a burgeoning research field with tremendous prospects for the improvement of diagnosis and treatment of various cancers. However, the development of biocompatible and efficient drug/gene delivery theranostic systems still remains a challenge. Green synthetic approach of nanoparticles with low capital and operating expenses, reduced environmental pollution and better biocompatibility and stability is a latest and novel field, which is advantageous over chemical or physical nanoparticle synthesis methods. In this article, we summarize the recent research progresses related to green synthesized nanoparticles for cancer theranostic applications, and we also conclude with a look at the current challenges and insight into the future directions based on recent developments in these areas.

scholarly journals An overview of psychological and social factors in Charles Bonnet syndrome

2021 ◽  
Vol 13 ◽  
pp. 251584142110347
Author(s):  
Lee Jones ◽  
Lara Ditzel-Finn ◽  
Jamie Enoch ◽  
Mariya Moosajee
Keyword(s):  
Emotional Response ◽  
Causal Mechanism ◽  
Visual Hallucinations ◽  
Cognitively Normal ◽  
Charles Bonnet Syndrome ◽  
Raising Awareness ◽  
Normal Individuals ◽  
The Social ◽  
Recent Developments ◽  
Insight Into

Charles Bonnet syndrome (CBS) is a condition where cognitively normal individuals with sight impairment experience simple and/or complex visual hallucinations. The exact pathogenesis of CBS is unknown; however, deafferentation is often recognised as a causal mechanism. Studies have provided insight into the multifaceted impact of CBS on wellbeing. Onset of CBS may cause distress among those believing visual hallucinations are indicative of a neurological condition. Hallucinatory content is often congruent with the emotional response. For example, hallucinations of a macabre nature typically result in a fearful response. Visual hallucinations may be highly disruptive, causing everyday tasks to become challenging. Clinical management relies on forewarning and pre-emptive questioning. Yet, knowledge and awareness of CBS is typically low. In this review, we provide a summary of the social and psychological implications of CBS and explore recent developments aimed at raising awareness and improving patient management.

scholarly journals Detecting bursty terms in computer science research

2019 ◽  
Vol 122 (1) ◽  
pp. 681-699 ◽  
Author(s):  
E. Tattershall ◽  
G. Nenadic ◽  
R. D. Stevens
Keyword(s):  
Computer Science ◽  
Historical Data ◽  
Science Research ◽  
Detection Algorithm ◽  
Trend Detection ◽  
Free Text ◽  
Research Topics ◽  
Computer Science Research ◽  
Insight Into ◽  
Over Time

AbstractResearch topics rise and fall in popularity over time, some more swiftly than others. The fastest rising topics are typically called bursts; for example “deep learning”, “internet of things” and “big data”. Being able to automatically detect and track bursty terms in the literature could give insight into how scientific thought evolves over time. In this paper, we take a trend detection algorithm from stock market analysis and apply it to over 30 years of computer science research abstracts, treating the prevalence of each term in the dataset like the price of a stock. Unlike previous work in this domain, we use the free text of abstracts and titles, resulting in a finer-grained analysis. We report a list of bursty terms, and then use historical data to build a classifier to predict whether they will rise or fall in popularity in the future, obtaining accuracy in the region of 80%. The proposed methodology can be applied to any time-ordered collection of text to yield past and present bursty terms and predict their probable fate.

Reproductive behavior of the blind mole-rat (Spalax ehrenbergi) in a seminatural burrow system

2000 ◽  
Vol 78 (4) ◽  
pp. 570-577 ◽  
Author(s):  
Irit Gazit ◽  
Joseph Terkel
Keyword(s):  
Reproductive Behavior ◽  
Spalax Ehrenbergi ◽  
Mole Rat ◽  
Management Protocol ◽  
In Captivity ◽  
Set Up ◽  
Tunnel System ◽  
Insight Into ◽  
Significant Factors ◽  
Lengthy Process

The blind mole-rat (Spalax ehrenbergi) is a fossorial mammal that is solitary and highly aggressive in nature. The consequent difficulties of maintaining this species in captivity have hindered attempts to gain insight into its behavior and reproductive biology. This article describes an innovative artificial tunnel system and management protocol that facilitated our study of the reproductive behavior of the blind mole-rat in captivity. The study employed a naturalistic approach that allowed the animals to establish separate territories in a seminatural tunnel system and to become familiar with each other over a period of months. This approach contrasts with previous unsuccessful attempts in which mole-rats were introduced without a period of acclimation to each other or to the experimental set-up. The results reveal that both the length of acquaintance between a pair of mole-rats and their own control of the timing of encounters are the most significant factors in reducing aggression and stress. Courtship in blind mole-rats is a lengthy process during which the animals gradually become accustomed to one another, which leads to a reduction of aggression and the initiation of positive "contact movements," eventually enabling copulation to occur. Minimal disturbance by the researcher and initiation of encounters by the mole-rats themselves appear to be the factors that led to a successful mating, pregnancy, and, 34 days later, to the female giving birth and rearing the pups in captivity.

scholarly journals Machine Learning and Sensor Fusion for Estimating Continuous Energy Expenditure

AI Magazine ◽  
2012 ◽  
Vol 33 (2) ◽  
pp. 55 ◽  
Author(s):  
Nisarg Vyas ◽  
Jonathan Farringdon ◽  
David Andre ◽  
John Ivo Stivoric
Keyword(s):  
Machine Learning ◽  
Energy Expenditure ◽  
Sensor Data ◽  
Machine Learning Techniques ◽  
Sensor Technology ◽  
Health Goals ◽  
System A ◽  
Multi Sensor Data Fusion ◽  
Learning Techniques ◽  
Insight Into

In this article we provide insight into the BodyMedia FIT armband system — a wearable multi-sensor technology that continuously monitors physiological events related to energy expenditure for weight management using machine learning and data modeling methods. Since becoming commercially available in 2001, more than half a million users have used the system to track their physiological parameters and to achieve their individual health goals including weight-loss. We describe several challenges that arise in applying machine learning techniques to the health care domain and present various solutions utilized in the armband system. We demonstrate how machine learning and multi-sensor data fusion techniques are critical to the system’s success.

scholarly journals The Ontogeny and Function of Placental Macrophages

2021 ◽  
Vol 12 ◽  
Author(s):  
Jake R. Thomas ◽  
Praveena Naidu ◽  
Anna Appios ◽  
Naomi McGovern
Keyword(s):  
Human Placenta ◽  
Outer Layer ◽  
New Technologies ◽  
Placental Development ◽  
Fetal Health ◽  
Hofbauer Cells ◽  
Recent Developments ◽  
Placental Macrophages ◽  
And Function ◽  
Insight Into

The placenta is a fetal-derived organ whose function is crucial for both maternal and fetal health. The human placenta contains a population of fetal macrophages termed Hofbauer cells. These macrophages play diverse roles, aiding in placental development, function and defence. The outer layer of the human placenta is formed by syncytiotrophoblast cells, that fuse to form the syncytium. Adhered to the syncytium at sites of damage, on the maternal side of the placenta, is a population of macrophages termed placenta associated maternal macrophages (PAMM1a). Here we discuss recent developments that have led to renewed insight into our understanding of the ontogeny, phenotype and function of placental macrophages. Finally, we discuss how the application of new technologies within placental research are helping us to further understand these cells.

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