Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Sport and Wellness Technology be My Personal Trainer? - Teenagers and Digital Coaching

The attention towards digital coaching solutions has increased among users of sport and wellness technologies, the related industry, the healthcare and wellness sector, and among scholars. However, as the commercial digital coaching solutions are rather novel, the number of studies about their influence or the usage experiences is still rather limited. Another topic that is lacking research is the relationship of teenagers and sport and wellness technology. Since using the internet and technological devices on a daily basis has become the norm for teenagers, it is worth paying attention to how technology could be developed in order to better motivate them towards a healthier lifestyle. The purpose of this study was to find out the perceptions of teenagers regarding sport and wellness technology and especially of digital coaching. According to the findings, teenagers perceive digital coaching positively. They prefer instructional guidance and advice especially related to physical activity and nutrition.
L'oxygénation cérébrale mesurée par spectroscopie dans le proche infrarouge comme témoin des ajustements de la commande motrice centrale

Le caractere non invasif et non traumatique des techniques de spectroscopie en font des outils attractifs pour l’exploration des aspects metaboliques de la fatigue musculaire in vivo. Afin de permettre l’enregistrement de parametres hemodynamiques localises, et notamment l’oxygenation tissulaire de facon dynamique a l’exercice, la spectroscopie dans le proche infrarouge (NIRS) est une technique relativement bien adaptee. Dans cette courte revue, il sera aborde dans un premier temps les principes fondamentaux de cette technique centres sur notre utilisation en physiologie de l’exercice et sur notre objet d’etude, la motricite. Ensuite, sera evoque un apercu des etudes actuelles ayant recours a la technique NIRS qui sont au cœur de la problematique de l’evaluation de la fatigue.
A comparative study of the reproducibility of landmark identification on posteroanterior and anteroposterior cephalograms generated from cone-beam computed tomography scans

Objective This in-vivo study aimed to compare landmark identification errors in anteroposterior (AP) and posteroanterior (PA) cephalograms generated from cone-beam computed tomography (CBCT) scan data in order to examine the feasibility of using AP cephalograms in clinical settings. Methods AP and PA cephalograms were generated from CBCT scans obtained from 25 adults. Four experienced and four inexperienced examiners were selected depending on their experience levels in analyzing frontal cephalograms. They identified six cephalometric landmarks on AP and PA cephalograms. The errors incurred in positioning the cephalometric landmarks on the AP and PA cephalograms were calculated by using the straight-line distance and the horizontal and vertical components as parameters. Results Comparison of the landmark identification errors in CBCT-generated frontal cephalograms revealed that landmark-dependent differences were greater than experience- or projection-dependent differences. Comparisons of landmark identification errors in the horizontal and vertical directions revealed larger errors in identification of the crista galli and anterior nasal spine in the vertical direction and the menton in the horizontal direction, in comparison with the other landmarks. Comparison of landmark identification errors between the AP and PA projections in CBCT-generated images revealed a slightly higher error rate in the AP projections, with no inter-examiner differences. Statistical testing of the differences in landmark identification errors between AP and PA cephalograms showed no statistically significant differences for all landmarks. Conclusions The reproducibility of CBCT-generated AP cephalograms is comparable to that of PA cephalograms; therefore, AP cephalograms can be generated reliably from CBCT scan data in clinical settings.
City name recognition over the telephone

The authors present a neural-network-based speech recognition system for telephone speech. A neural network classifier provides phoneme probabilities for each frame of the utterance. A dynamic programming algorithm finds the most probable sequence of words. The classifier was trained on a spoken name corpus which contained the test vocabulary and many other words. The test set consisted of 262 utterances containing 44 cities and 2 states. The best result obtained on the test set was 92.9% word accuracy (90.1% on just the city names). Removing phoneme duration constraints reduced recognition accuracy to 82%. Performance fell to 82.4% using a network trained on a large vocabulary, fluent-speech corpus. Several other experiments are reported which did not produce significant changes in system performance. <<ETX>>
Cooperation of Multiple Autonomous Robots and Analysis of their Swarm Behavior

In this paper, we extended previous studies of cooperating autonomous robots to include situations when environmental changes and changes in the number of robots in the swarm can affect the efficiency to execute tasks assigned to the swarm of robots. We have presented a novel approach based on partition of the robot behaviour. The sub-diagrams describing sub-routs allowed us to model advanced interactions between autonomous robots using limited number of state combinations avoiding combinatorial explosion of reachability. We identified the systems for which we can ensure the correctness of robots interactions. New techniques were presented to verify and analyze combined robots’ behaviour. The partitioned diagrams allowed us to model advanced interactions between autonomous robots and detect irregularities such as deadlocks, lack of termination etc. The techniques were presented to verify and analyze combined robots’ behaviour using model checking approach. The described system, Dedan verifier, is still under development. In the near future, timed and probabilistic verification are planned.
Secure Two-Party Feature Selection

In this work, we study how to securely evaluate the value of trading data without requiring a trusted third party. We focus on the important machine learning task of classification. This leads us to propose a provably secure four-round protocol that computes the value of the data to be traded without revealing the data to the potential acquirer. The theoretical results demonstrate a number of important properties of the proposed protocol. In particular, we prove the security of the proposed protocol in the honest-but-curious adversary model.
Almost optimal distribution-free junta testing

We consider the problem of testing whether an unknown n-variable Boolean function is a k-junta in the distribution-free property testing model, where the distance between functions is measured with respect to an arbitrary and unknown probability distribution over {0, 1}n. Chen, Liu, Servedio, Sheng and Xie [35] showed that the distribution-free k-junta testing can be performed, with one-sided error, by an adaptive algorithm that makes Õ(k2)/ϵ queries. In this paper, we give a simple two-sided error adaptive algorithm that makes Õ{k/ϵ) queries.
A Secure and Persistent Memory System for Non-volatile Memory

In the non-volatile memory, ensuring the security and correctness of persistent data is fundamental. However, the security and persistence issues are usually studied independently in existing work. To achieve both data security and persistence, simply combining existing persistence schemes with memory encryption is inefficient due to crash inconsistency and significant performance degradation. To bridge the gap between security and persistence, this paper proposes SecPM, a Secure and Persistent Memory system, which consists of a counter cache write-through (CWT) scheme and a locality-aware counter write reduction (CWR) scheme. Specifically, SecPM leverages the CWT scheme to guarantee the crash consistency via ensuring both the data and its counter are durable before the data flush completes, and leverages the CWR scheme to improve the system performance via exploiting the spatial locality of counter storage, log and data writes. We have implemented SecPM in gem5 with NVMain and evaluated it using five widely-used workloads. Extensive experimental results demonstrate that SecPM reduces up to half of write requests and speeds up the transaction execution by 1.3-2.0 times via using the CWR scheme, and achieves the performance close to an un-encrypted persistent memory system for large transactions.
A Fast Sketch Method for Mining User Similarities Over Fully Dynamic Graph Streams

Many real-world networks such as Twitter and YouTube are given as fully dynamic graph streams represented as sequences of edge insertions and deletions. (e.g., users can subscribe and unsubscribe to channels on YouTube). Existing similarity estimation methods such as MinHash and OPH are customized to static graphs. We observe that they are indeed sampling methods and exhibit a sampling bias when applied to fully dynamic graph streams, which results in large estimation errors. To solve this challenge, we develop a fast and accurate sketch method VOS. VOS processes each edge in the graph stream of interest with small time complexity O(1) and uses small memory space to build a compact sketch of the dynamic graph stream over time. Based on the sketch built on-the-fly, we develop a method to estimate user similarities over time. We conduct extensive experiments and the experimental results demonstrate the efficiency and efficacy of our method.
Spectrum Resource Management for Multi-Access Edge Computing in Autonomous Vehicular Networks

In this paper, a dynamic spectrum management framework is proposed to improve spectrum resource utilization in a multi-access edge computing (MEC) in autonomous vehicular network (AVNET). To support the increasing data traffic and guarantee quality-of-service (QoS), spectrum slicing, spectrum allocating, and transmit power controlling are jointly considered. Accordingly, three non-convex network utility maximization problems are formulated to slice spectrum among BSs, allocate spectrum among autonomous vehicles (AVs) associated with a BS, and control transmit powers of BSs, respectively. Via linear programming relaxation and first-order Taylor series approximation, these problems are transformed into tractable forms and then are jointly solved through an alternate concave search (ACS) algorithm. As a result, optimal spectrum slicing ratios among BSs, optimal BS-vehicle association patterns, optimal fractions of spectrum resources allocated to AVs, and optimal transmit powers of BSs are obtained. Based on our simulation, a high aggregate network utility is achieved by the proposed spectrum management scheme compared with two existing schemes.
Classification of Functioning, Disability, and Health: ICF-CY Self Care (SCADI Dataset) Using Predictive Analytics

The International Classification of Functioning, Disability, and Health for Children and Youth (ICF-CY) is a scaffold for designating and systematizing data on functioning and disability. It offers a standard semantic and a theoretical foundation for the demarcation and extent of wellbeing and infirmity. The multidimensional layout of ICF-CY comprehends a plethora of information with about 1400 categories making it difficult to analyze. Our research proposes a predictive model that classify self-care problems on Self-Care Activities Dataset based on the ICF- CY. The data used in this study resides 206 attributes of 70 children with motor and physical disability. Our study implements, compare and analyze Random Forest, Support vector machine, Naive Bayes, Hoeffding tree, and Lazy locally weighted learning using two-tailed T-test at 95% confidence interval. Boruta algorithm involved in the study minimizes the data dimensionality to advocate the minimal-optimal set of predictors. Random forest gave the best classification accuracy of 84.75%; root mean squared error of 0.18 and receiver operating characteristic of 0.99. Predictive analytics can simplify the usage of ICF-CY by automating the classification process of disability, functioning, and health.
Genetic analyses for conservation of the traditional Tokara horse using 31 microsatellite markers

In order to promote conservation of the traditional Tokara horse in its remaining three breeding areas in Japan (Nakanoshima, Kaimondake, and Iriki), we genotyped 123 horses using 31 microsatellite markers and determined their genetic diversity. On average, the number of alleles (NA), observed heterozygosity (HO), expected heterozygosity (HE), and inbreeding coefficient (FIS) among all horses were 3.0, 0.424, 0.481, and 0.108, respectively. Compared with other endangered horse breeds, we found that, even though the size of the Tokara horse population has recently increased, the NA, HO, and HE of Tokara horses are still notably lower than those of other breeds. Neighbor-joining tree and STRUCTURE analysis showed that the current population of Tokara horses is divided into three subpopulations, corresponding to their respective feeding and breeding areas: Nakanoshima, Kaimondake, and Iriki. This subdivision was also reflected in the NA of microsatellite DNAs, with four, three, and four different loci showing single alleles in Nakanoshima, Kaimondake, and Iriki horses, respectively. These alleles are considered to have become fixed as a consequence of breeding within the limited number of horses in each area. Since Tokara horses are currently strongly divided into subpopulations, it is vitally important to exchange several horses among their different breeding units in order to maintain the genetic diversity of the Tokara horse as a unique breed. The data obtained in this study contribute toward explaining the history of Tokara horses and also provide important information for future monitoring of population diversity and guiding conservation measures for this endangered breed.
Eryngium Billardieri Induces Apoptosis via Bax Gene Expression in Pancreatic Cancer Cells

Purpose: Pancreatic adenocarcinoma has a high prevalence all over the world. Most of the therapeutic approaches failed as a result of tumor invasion and rapid metastasis. Several natural plants have been shown to have promising therapeutic effects. Thus, the aim of this study was to investigate the cytotoxic activity of Eryngium billardieri against PANC-1 cancer cell lines. Methods: Dimethylthiazole diphenyltetrazolium bromide assay (MTT assay) and ﬂow cytometry were used to assess the cytotoxicity of E. billardieri extracts against PANC-1 cancer cell lines. Quantitative Polymerase Chain Reaction (qPCR) was conducted to investigate the expression levels of Bcl2- associated X protein (BAX) and cyclin D1. Results: The results of the MTT assay showed that E. billardieri extracts had cytotoxic effects on PANC- 1 cancer cell lines. Moreover, the ﬁndings from the gene expression confirmed the over expression of Bax, and under expression of cyclin D1 following treatment with dichloromethane (DCM) and n-hexane (n- hex) extracts in cancer cells (P < 0.05). Interestingly, the ﬂow cytometry results showed that DCM and n- hex extracts of E. billardieri induced apoptosis in PANC- 1 cancer cell lines. Conclusion: The results of this study demonstrated that DCM and n- hex extracts of E. billardieri significantly induce apoptosis by increasing Bax and decreasing cyclin D1 mRNA expression. Therefore, E. billardieri may be regarded as a novel approach for treatment of pancreatic cancer as a result of its promising apoptotic and cytotoxic properties.
Endovascular Treatment of Wide Neck Aneurysms

BACKGROUND: An aneurysm is an abnormal focal dilatation of an artery. Most of the unruptured aneurysms are asymptomatic and discovered incidentally or some of them symptomatic with mass effect or nerve palsy, but rupture of aneurysm results in a potentially life-threatening subarachnoid haemorrhage. Aneurysms with wide necks are defined by neck diameters greater than 4 mm or dome-to-neck ratios less than 2 and are the most difficult to treat with the endovascular method. AIM: This study aimed to analyse the endovascular treatment of intracranial aneurysms with a wide neck. METHODS: The study population included 37 patients with 46 aneurysms referred to the University Clinic of Radiology in Skopje, the Republic of Macedonia for endovascular treatment during the period January 2013 to May 2018. This study included 24 females and 13 males, ranging in age from 25 to 74 years. RESULTS: From total 46 treated aneurysms 13 were ruptured and 33 unruptured. Six patients were with multiple aneurysms. In these study complex aneurysms were treated with combined technique, 5 with balloon-assisted coiling, 25 with stent-assisted coiling, 6 stents, 2 with flow diverter assisted coiling, 6 FD and 2 with partial coil filling without assistance device. CONCLUSION: Aneurysms with wide neck remain a challenge for endovascular treatment. But the development of new techniques and materials in the treatment of aneurysms makes endovascular treatment of intracranial aneurysms safe and feasible.
miR-195/miR-497 Regulate CD274 Expression of Immune Regulatory Ligands in Triple-Negative Breast Cancer

Purpose Immune suppression is common in patients with advanced breast cancer but the mechanisms underlying this phenomenon have not been sufficiently studied. In this study, we aimed to identify B7 family members that were able to predict the immune status of patients, and which may serve as potential targets for the treatment of breast cancer. We also aimed to identify microRNAs that may regulate the expression of B7 family members. Methods The Cancer Genome Atlas data from 1,092 patients with breast cancer, including gene expression, microRNA expression and survival data, were used for statistical and survival analyses. Polymerase chain reaction and Western blot were used to measure messenger RNA and protein expression, respectively. Luciferase assay was used to investigate direct microRNA target. Results Bioinformatic analysis predicted that microRNA (miR)-93, miR-195, miR-497, and miR-340 are potential regulators of the immune evasion of breast cancer cells, and that they exert this function by targeting CD274, PDCD1LG2, and NCR3LG1. We chose CD274 for further investigations. We found that miR-195, miR-497, and CD274 expression levels were inversely correlated in MDA-MB-231 cells, and miR-195 and miR-497 expressions mimic inhibited CD274 expression in vitro. Mechanistic investigations demonstrated that miR-195 and miR-497 directly target CD274 3′ untranslated region. Conclusion Our data indicated that the level of B7 family members can predict the prognosis of breast cancer patients, and miR-195/miR-497 regulate CD274 expression in triple negative breast cancer. This regulation may further influence tumor progression and the immune tolerance mechanism in breast cancer and may be able to predict the effect of immunotherapy on patients.
Beneficial Role of Hydro-alcoholic Seed Extract of Trigonella foenum graecum on Bone Structure and Strength in Menopause Induced Osteopenia

Background The current strategies to prevent and treat menopausal osteoporosis are hormone replacement therapy (HRT). However, the long-term use of hormone replacement therapy is limited due to its side-effects. Alternately, use of phytoestrogens has been implicated. Trigonella foenum graecum (TFG) seeds are rich in phytoestrogen and known traditional medicine to treat menopause induced hyperlipidemia. Therefore, in this study, we evaluated the role of dietary TFG seed extract on bone structure and mechanical properties in ovariectomized rats. Methods Twenty four female Wistar rats were randomly allocated into four groups; 1) control, 2) ovariectomized, 3) ovariectomized + TFG seed extract and 4) ovariectomized + 17β-estradiol. TFG seed extract/17β-estradiol was administered for 30 days, 14 days after ovariectomy. After the treatment, right femora were collected to measure the length and biomechanical properties, and left femora were gathered to study the micro architectural changes while tibia were collected to measure the dry weight. Results Maximum flexor load to break femur bone was significantly low in ovariectomized rats in comparison with control rats (P<0.05). Supplementation with TFG significantly improved the maximum flexor load (P<0.05) and tibia dry weight (P<0.01) compared to ovariectomized untreated rats. TFG administration also significantly preserved the trabecular (P<0.01) and cortical bone (P<0.05) thickness compared to ovariectomized rats. Conclusion This study found that dietary intake of TFG seeds can improve the bone structure and biomechanical properties in ovariectomized rats indicating that TFG may be an alternative treatment strategy to prevent the menopause induced osteopenia.
Shorter Telomere Length Is Associated with Increased Breast Cancer Risk in a Chinese Han Population: A Case-Control Analysis

Purpose The aim of this study was to investigate the association of telomere length with breast cancer risk. We simultaneously explored the association between telomerase reverse transcriptase gene polymorphisms and telomere length. Methods We used real-time quantitative polymerase chain reaction to measure relative telomere length (RTL) in genomic DNA extracted from peripheral blood from 183 breast cancer cases and 191 healthy controls. Genotyping was performed using the Sequenom MassARRAY platform. Results Our results show that breast cancer patients had significantly shorter RTLs than control subjects (p<0.05). When the RTLs were categorized into tertiles, we found that the lowest RTL was significantly associated with increased breast cancer risk compared with the highest RTL (odds ratio [OR], 2.33; 95% confidence interval [CI], 1.40–3.90; p=0.001). Subgroup analyses indicated that risk of breast cancer was also significantly increased in the lowest RTL compared with the highest RTL in age >40 years (OR, 2.41; 95% CI, 1.31–4.43; p=0.005), body mass index ≤24 kg/m2 (OR, 2.81; 95% CI, 1.55–5.10; p=0.001), and postmenopausal women (OR, 3.94; 95% CI, 1.63–9.51; p=0.002), respectively. In addition, individuals with the AA genotype of rs2853677 have longer telomeres than those of breast cancer patients with the AG genotype (p=0.011). Conclusion Our results suggest that shorter RTL was associated with an increased risk of breast cancer. An association was found between the AA genotype of rs2853677 and longer RTLs in the case group. Functional studies are warranted to validate this association and further investigate our findings.
Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives

Almost 20 years have passed since the commercial introduction of whole-slide imaging (WSI) scanners. During this time, the creation of various WSI devices with the ability to digitize an entire glass slide has transformed the field of pathology. Parallel advances in computational technology and storage have permitted rapid processing of large-scale WSI datasets. This article provides an overview of important past and present efforts related to WSI. An account of how the virtual microscope evolved from the need to visualize and manage satellite data for earth science applications is provided. The article also discusses important milestones beginning from the first WSI scanner designed by Bacus to the Food and Drug Administration approval of the first digital pathology system for primary diagnosis in surgical pathology. As pathology laboratories commit to going fully digitalize, the need has emerged to include WSIs into an enterprise-level vendor-neutral archive (VNA). The different types of VNAs available are reviewed as well as how best to implement them and how pathology can benefit from participating in this effort. Differences between traditional image algorithms that extract pixel-, object-, and semantic-level features versus deep learning methods are highlighted. The need for large-scale data management, analysis, and visualization in computational pathology is also addressed.