Miracle-dz/UniFAR-FTUs huggingface dataset:
HAND GESTURE RECOGNITION , TRACKING , AND PROJECT TO A 3 D MODEL

In this paper, we introduce a low-complexity and lowcost method to recognize human gestures. Instead of using machine learning method, we design a motion capturing and 3D modeling framework, consisting of existing techniques and concepts, which are connected strongly with each other to precisely recognize hand gestures and project to a 3D model. First, we apply motion detection to capture the moving objects in the sequences of frame, and predict the possible movements or gestures. Synchronously, the hand color will be estimated to apply calibration. So far the possible hand regions and basic movements are detected, in order to recognize more complex gestures and track the moving path precisely, feature detection is next. Not only hand but also finger points are detected by overriding some Haar features. Finally, after distance are also estimated, we can construct stereo information and interact with a 3D model.
A Deep Learning Approach for Position Control of a Mobile Robot

The study presents an innovative method for decoding the brain signals of subjects to control a Khepera IV mobile robot, thereby providing assistance to those with neuro-motor disorders. The afore-said objective is accomplished through a novel Convolutional Neural Network (CNN) that precisely classifies four motor imagination labels (left hand, right hand, left leg, and right leg) corresponding to four Khepera robot maneuvers (left, right, forward, and backward).
Whole body magnetic resonance imaging in newly diagnosed multiple myeloma: early changes in lesional signal fat fraction predict disease response

Cross‐sectional imaging techniques are being increasingly used for disease evaluation in patients with multiple myeloma. Whole body magnetic resonance imaging (WB‐MRI) scanning is superior to plain radiography in baseline assessment of patients but changes following treatment have not been systematically explored. We carried out paired WB‐MRI scans in 21 newly diagnosed patients prior to, and 8‐weeks after, starting chemotherapy, and analysed stringently selected focal lesions (FLs) for parametric changes. A total of 323 FLs were evaluated, median 20 per patient. At 8 weeks, there was a reduction in estimated tumour volume (eTV), and an increase in signal fat fraction (sFF) and apparent diffusion coefficient (ADC) in the group as a whole (P < 0·001). Patients who achieved complete/very good partial response (CR/VGPR) to induction had a significantly greater increase in sFF compared to those achieving ≤ partial response (PR; P = 0·001). When analysed on a per‐patient basis, all patients achieving CR/VGPR had a significant sFF increase in their FL's, in contrast to patients achieving ≤PR. sFF changes in patients reaching maximal response within 100 days (fast responders) were greater compared to slow responders (P = 0·001). Receiver Operator Characteristic analysis indicated that sFF changes at 8 weeks were the best biomarker (area under the Curve 0·95) for an inferior response (≤PR). We conclude that early lesional sFF changes may provide important information on depth of response, and are worthy of further prospective study.
A Positioning Algorithm Based on Multi-Sensor Fusion for Automatic Driving Vehicles in Underground Mines

Aiming at the problem of Ultra Wide Band (UWB) positioning accuracy being reduced due to non-line-of-sight (NLOS) errors in complex underground mining environments, and that a single sensor cannot meet the positioning accuracy of underground autonomous vehicles. A multi-source sensors fusion positioning algorithm based on the Improved Federal Kalman filter is proposed to improve navigation and positioning performance of the underground autonomous vehicles. This algorithm uses the NLOS discriminant to detect whether the sub-filter contains non-line-of-sight errors. It determines the performance of the sub-filter, and then the noise factor of each sub-filter is derived from the discriminant function. Thus the factor adaptively adjusts the information allocation coefficients of the Federal Kalman filter, which can effectively reduce the impact of non-line-of-sight errors on the system's positioning accuracy. The simulation results show that compared with the traditional Federal Kalman filter, the Improved Federal Kalman filter algorithm can control the positioning error within 20cm and improve the positioning accuracy by 48.8%, which verifies that the algorithm can effectively improve the positioning accuracy of vehicle navigation system in the complex environment of the underground mines.
AmbiKraf: A Nonemissive Fabric Display for Fast Changing Textile Animation

With this paper we present AmbiKraf, a none missive fast color changing fabric display. Our main motivation is to investigate the possibility of an actual fabric technology that can change the color in the form of a display. The core novelty of this paper addresses in presenting a base line technology that enables such a ubiquitous fabric display that lets the user interact with the actual fabric itself. Here, we use thermo chromic inks and Peltier semiconductor elements to achieve a rapid color changing display. The implemented controller is able to control the temperature with a high accuracy and thereby accurately control the color of the thermo chromic ink display. In addition the controller has fast heating/cooling ability which presents the ability for a relatively high speed display on the fabric. The calming nature of this animated fabric display is presented through few prototypes that ubiquitously combine the technology with daily fabrics. The paper describes the complete implementation of the system and presents a detailed analysis of the technical results.
Dynamic correlations between heart and brain rhythm during Autogenic meditation

This study is aimed to determine significant physiological parameters of brain and heart under meditative state, both in each activities and their dynamic correlations. Electrophysiological changes in response to meditation were explored in 12 healthy volunteers who completed 8 weeks of a basic training course in autogenic meditation. Heart coherence, representing the degree of ordering in oscillation of heart rhythm intervals, increased significantly during meditation. Relative EEG alpha power and alpha lagged coherence also increased. A significant slowing of parietal peak alpha frequency was observed. Parietal peak alpha power increased with increasing heart coherence during meditation, but no such relationship was observed during baseline. Average alpha lagged coherence also increased with increasing heart coherence during meditation, but weak opposite relationship was observed at baseline. Relative alpha power increased with increasing heart coherence during both meditation and baseline periods. Heart coherence can be a cardiac marker for the meditative state and also may be a general marker for the meditative state since heart coherence is strongly correlated with EEG alpha activities. It is expected that increasing heart coherence and the accompanying EEG alpha activations, heart brain synchronicity, would help recover physiological synchrony following a period of homeostatic depletion.
Mortality and causes of death among Danish medical doctors 1973-1992.

BACKGROUND To examine the mortality pattern of Danish doctors for the period 1973-1992. METHODS A historical prospective cohort study based on the membership register of the Danish Medical Association. The study population consisted of 21,943 medical doctors, 6012 of whom were women. The doctors' cause-specific mortality was compared with that of the general population. RESULTS The study covered about 277,000 person-years. A total of 2387 deaths occurred from 1 January 1973 to 31 December 1992. The doctors' mortality was lower than that of the general population. Both sexes showed a standardized mortality ratio (SMR) below one for cancer, circulatory diseases and other natural causes. Mortality due to lung cancer was particularly low. The SMR for suicide was significantly increased, 1.6 for males (95% CI: 1.4-1.9) and 1.7 for females (95% CI: 1.1-2.5). The suicide rate was increased, in particular because of an increased number of suicides by poisoning. In addition female doctors displayed a relatively high mortality due to accidents and other types of violent death. CONCLUSIONS Compared with the general population the doctors' mortality was low, but the mortality from external causes was increased, mainly due to an excess number of suicides.
The Relationship Between FAFSA Filing and Persistence Among First-Year Community College Students

In 2007-2008, approximately 42% of community college students who were eligible to receive Pell grant funding did not file the Free Application for Federal Student Aid (FAFSA). Using data from the Beginning Postsecondary Student Study, this study examined the relationship between FAFSA filing status and persistence from the fall to spring semesters among first-year community college students. Results indicate that when controlling for other relevant predictors of persistence, filing a FAFSA was associated with higher odds of within-year persistence among all students and was particularly strong for the restricted sample of students enrolled part time. The implications of these findings are discussed in light of the national completion agenda and recent calls to improve the utilization of financial aid among community college students.
Optimal Tracking Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy

This paper investigates the optimal tracking control issue of nonlinear nonzero-sum game systems with partially unknown dynamics. An adaptive dynamic programming approach is presented on the basis of a dynamic event-triggering mechanism. This paper first introduces a discount coefficient and augmented vectors into the cost function, transforming the optimal tracking control into an optimal regulation control problem. Subsequently, a single critic neural network is proposed to seek for Nash equilibrium. By defining a dynamic variable, a dynamic event-triggering rule is devised with historical data, which causes the larger event-triggering intervals. Moreover, the uniform ultimate boundness properties of the neural network estimation error and the tracking error have been proved. Finally, a numerical simulation verifies the correctness of the proposed method.
GSTM1 Gene Expression Correlates to Leiomyoma Volume Regression in Response to Mifepristone Treatment

Progesterone receptor modulators, such as mifepristone are useful and well tolerated in reducing leiomyoma volume although with large individual variation. The objective of this study was to investigate the molecular basis for the observed leiomyoma volume reduction, in response to mifepristone treatment and explore a possible molecular marker for the selective usage of mifepristone in leiomyoma patients. Premenopausal women (N = 14) were treated with mifepristone 50 mg, every other day for 12 weeks prior to surgery. Women were arbitrarily sub-grouped as good (N = 4), poor (N = 4) responders to treatment or intermediate respondents (N = 3). Total RNA was extracted from leiomyoma tissue, after surgical removal of the tumour and the differential expression of genes were analysed by microarray. The results were analysed using Ingenuity Pathway Analysis software. The glutathione pathway was the most significantly altered canonical pathway in which the glutathione-s transferase mu 1 (GSTM1) gene was significantly over expressed (+8.03 folds) among the good responders compared to non responders. This was further confirmed by Real time PCR (p = 0.024). Correlation of immunoreactive scores (IRS) for GSTM1 accumulation in leiomyoma tissue was seen with base line volume change of leiomyoma R = −0.8 (p = 0.011). Furthermore the accumulation of protein GSTM1 analysed by Western Blot correlated significantly with the percentual leiomyoma volume change R = −0.82 (p = 0.004). Deletion of the GSTM1 gene in leiomyoma biopsies was found in 50% of the mifepristone treated cases, with lower presence of the GSTM1 protein. The findings support a significant role for GSTM1 in leiomyoma volume reduction induced by mifepristone and explain the observed individual variation in this response. Furthermore the finding could be useful to further explore GSTM1 as a biomarker for tailoring medical treatment of uterine leiomyomas for optimizing the response to treatment. Clinical Trials identifier www.clinicaltrials.gov: NCT00579475, Protocol date: November 2004. http://clinicaltrials.gov/ct2/show/NCT00579475
Semantically enhanced search system for historical medical archives

Large-scale efforts to digitise historical documents are making it increasingly easy for researchers of history to carry out searches over vast amounts of historical data from their computers. Although the constant growth in the volume of digitised historical text is enriching the body of knowledge that scholars of history have at their fingertips, it can often be difficult to explore such data collections efficiently without becoming overwhelmed. Standard keyword-based search systems treat documents as collections of unrelated words, and do not take into account their structure and meaning. Accordingly, keyword searches will often return many irrelevant documents. Equally, shifts in terminology usage over time can make it difficult to formulate queries that will retrieve all relevant documents from long-spanning historical archives. In this paper, we describe a new semantically oriented system for searching archives of historical medical documents covering wide time spans. By applying text mining techniques to the archives, the system allows for efficient searching, firstly by automatically suggesting ways to expand queries with (possibly time-sensitive) related terms, and secondly by allowing search results to be refined/explored using medically and historically relevant semantic information.
Semi-Supervised Modeling for Prenominal Modifier Ordering

In this paper, we argue that ordering prenominal modifiers -- typically pursued as a supervised modeling task -- is particularly well-suited to semi-supervised approaches. By relying on automatic parses to extract noun phrases, we can scale up the training data by orders of magnitude. This minimizes the predominant issue of data sparsity that has informed most previous approaches. We compare several recent approaches, and find improvements from additional training data across the board; however, none outperform a simple n-gram model.
New species without dead bodies: a case for photo-based descriptions, illustrated by a striking new species of Marleyimyia Hesse (Diptera, Bombyliidae) from South Africa

Abstract A new bombyliid species Marleyimyia xylocopae Marshall & Evenhuis, sp. n. , an apparent mimic of the carpenter bee Xylocopa flavicollis (De Geer), is described from South Africa on the basis of photographs only. The pros and cons of species descriptions in the absence of preserved type specimens are discussed.
Semantic Linking and Contextualization for Social Forensic Text Analysis

With the development of social media, forensic text analysis is becoming more and more challenging as forensic analysts have begun to include this information source in their practice. In this paper, we report on our recent work related to semantic search in e-discovery and propose the use of entity and topic extraction for social media text analysis. We first describe our approach for entity linking at the 2012 Text Analysis Conference Knowledge Base Population track and then introduce the personalized tweets summarization task, where entity linking is used for semantically enriching information in a social media context.
Antecedents and Consequences of Employees’ Adjustment to Overseas Assignment: A Meta‐analytic Review

La recherche sur les antecedents et les consequences de l’ajustement des expatries a ete revue de facon qualitative et avec la methode quantitative de meta-analyse. Les predicteurs individuels, environnementaux, relies au travail et relies a la famille, de l’ajustement general, interactionnel et au travail ont ete analyses. L’efficacite personnelle, la frequence des interactions dans le pays hote, et le soutien familial ont predit les trois types d’ajustement. De plus, des competences elevees en relations interpersonnelles ont ete associees a un meilleur ajustement a l’environnement en general. Les resultats ont egalement demontre que la variable “conflit de role”etait correlee negativement avec l’ajustement au travail alors que l’ambiguite du role et la discretion ont ete associes avec l’ajustement au travail. Un modele d’equations structurelles a ete developpe avec les correlations agregees pour illustrer les relations causales possibles impliquant un facteur general d’ajustement et les resultats des tensions au travail, la satisfaction au travail, l’engagement organisationnel, l’intention de quitter, ainsi que la performance au travail. L’hypothese etait que l’ajustement influencerait les tensions et la satisfaction au travail et que ces deux dernieres variables auraient un effet sur l’engagement organisationnel, la performance et l’intention de quitter. Le modele a bien correspondu aux donnees. Research on the antecedents and consequences of expatriate adjustment was reviewed using meta-analytic methods. The antecedents and outcomes of three facets of adjustment were examined. Self-efficacy, frequency of interaction with host nationals, and family support consistently predicted all three types of adjustment. In addition, better interpersonal skills were associated with greater adjustment to general environment. Greater cultural novelty was associated with less interactional adjustment. Role conflict, ambiguity, and discretion were also strong predictors of work adjustment. A structural equations model that illustrated causal relationships involving expatriate adjustment and outcomes of job strain, job satisfaction, organisational citizenship, intent to turnover, and job performance generated a good fit with the data.
Update of a meta-analysis on lung cancer and welding.

OBJECTIVES This study is an update, over the period 1954-2004, of a previous meta-analysis completed in 1994. It was aimed at assessing lung cancer risk among welders, while addressing heterogeneity, publication bias, and confounding issues. METHODS Combined relative risks (CRR) and their variances were calculated using fixed and random effects models. Heterogeneity was tested using the Q statistic. The publication bias was estimated using funnel plots, and Egger's regression and partially controlled by excluding studies with positive reporting bias. RESULTS The literature provided 60 studies eligible for the meta-analysis. No heterogeneity was observed. The fixed effect CRR for all of the welders and all of the studies was 1.26 (95% CI 1.20-1.32) after partial control of publication bias. No difference was observed according to welding activities. Smoking did not appear to be a marked confounder in the relationship between lung cancer and welding, but the effect of asbestos could not be assessed. CONCLUSIONS The meta-analysis showed a 26% excess of lung cancer for welders without any difference according to welding activities.
3D BUILDING RECONSTRUCTION FROM LIDAR BASED ON A CELL DECOMPOSITION APPROACH

The reconstruction of 3D city models has matured in recent years from a research topic and niche market to commercial products and services. When constructing models on a large scale, it is inevitable to have reconstruction tools available that offer a high level of automation and reliably produce valid models within the required accuracy. In this paper, we present a 3D building reconstruction approach, which produces LOD2 models from existing ground plans and airborne LIDAR data. As well-formed roof structures are of high priority to us, we developed an approach that constructs models by assembling building blocks from a library of parameterized standard shapes. The basis of our work is a 2D partitioning algorithm that splits a building’s footprint into nonintersecting, mostly quadrangular sections. A particular challenge thereby is to generate a partitioning of the footprint that approximates the general shape of the outline with as few pieces as possible. Once at hand, each piece is given a roof shape that best fits the LIDAR points in its area and integrates well with the neighbouring pieces. An implementation of the approach is used now for quite some time in a production environment and many commercial projects have been successfully completed. The second part of this paper reflects the experiences that we have made with this approach working on the 3D reconstruction of the entire cities of East Berlin and Cologne.
At-Sea Associations in Foraging Little Penguins

Prey distribution, patch size, and the presence of conspecifics are important factors influencing a predator’s feeding tactics, including the decision to feed individually or socially. Little is known about group behaviour in seabirds as they spend most of their lives in the marine environment where it is difficult to observe their foraging activities. In this study, we report on at-sea foraging associations of little penguins (Eudyptula minor) during the breeding season. Individuals could be categorised as (1) not associating; (2) associating when departing from and/or returning to the colony; or (3) at sea when travelling, diving or performing synchronised dives. Out of 84 separate foraging tracks, 58 (69.0%) involved associations with conspecifics. Furthermore, in a total of 39 (46.4%), individuals were found to dive during association and in 32 (38.1%), individuals were found to exhibit synchronous diving. These behaviours suggest little penguins forage in groups, could synchronise their underwater movements and potentially cooperate to concentrate their small schooling prey.
UNEXPECTED ACTIVITY OF β-CYCLODEXTRIN AGAINST EXPERIMENTAL INFECTION BY CRYPTOSPORIDIUM PARVUM

An unexpected activity of β-cyclodextrin, an excipient used in pharmaceutical technology, was observed against Cryptosporidium parvum. The viability and infectivity of purified oocysts, exposed for 24 hr to β-cyclodextrin (2.5% suspension), were evaluated by inclusion/exclusion of 2 fluorogenic vital dyes and a suckling murine model, respectively. Results of the viability assay showed a high proportion of nonviable oocysts (81.5%). The intensity of experimental infection, determined 7 days postinoculation by examination of intestinal homogenates, was significantly lower (P < 0.05) than in the control litters. The preventive and curative efficacies of β-cyclodextrin suspension were also evaluated in experimentally infected neonatal mice. Infection was prevented when the suspension was administered 2 hr before inoculated oocysts and on days 1 and 2 postinoculation.