Miracle-dz/UniFAR-FTUs huggingface dataset:
Heart Rate Measures From Wrist-Worn Activity Trackers in a Laboratory and Free-Living Setting: Validation Study

Background Wrist-worn activity trackers are popular, and an increasing number of these devices are equipped with heart rate (HR) measurement capabilities. However, the validity of HR data obtained from such trackers has not been thoroughly assessed outside the laboratory setting. Objective This study aimed to investigate the validity of HR measures of a high-cost consumer-based tracker (Polar A370) and a low-cost tracker (Tempo HR) in the laboratory and free-living settings. Methods Participants underwent a laboratory-based cycling protocol while wearing the two trackers and the chest-strapped Polar H10, which acted as criterion. Participants also wore the devices throughout the waking hours of the following day during which they were required to conduct at least one 10-min bout of moderate-to-vigorous physical activity (MVPA) to ensure variability in the HR signal. We extracted 10-second values from all devices and time-matched HR data from the trackers with those from the Polar H10. We calculated intraclass correlation coefficients (ICCs), mean absolute errors, and mean absolute percentage errors (MAPEs) between the criterion and the trackers. We constructed decile plots that compared HR data from Tempo HR and Polar A370 with criterion measures across intensity deciles. We investigated how many HR data points within the MVPA zone (≥64% of maximum HR) were detected by the trackers. Results Of the 57 people screened, 55 joined the study (mean age 30.5 [SD 9.8] years). Tempo HR showed moderate agreement and large errors (laboratory: ICC 0.51 and MAPE 13.00%; free-living: ICC 0.71 and MAPE 10.20%). Polar A370 showed moderate-to-strong agreement and small errors (laboratory: ICC 0.73 and MAPE 6.40%; free-living: ICC 0.83 and MAPE 7.10%). Decile plots indicated increasing differences between Tempo HR and the criterion as HRs increased. Such trend was less pronounced when considering the Polar A370 HR data. Tempo HR identified 62.13% (1872/3013) and 54.27% (5717/10,535) of all MVPA time points in the laboratory phase and free-living phase, respectively. Polar A370 detected 81.09% (2273/2803) and 83.55% (9323/11,158) of all MVPA time points in the laboratory phase and free-living phase, respectively. Conclusions HR data from the examined wrist-worn trackers were reasonably accurate in both the settings, with the Polar A370 showing stronger agreement with the Polar H10 and smaller errors. Inaccuracies increased with increasing HRs; this was pronounced for Tempo HR.
Final analysis of nelipepimut-S plus GM-CSF with trastuzumab versus trastuzumab alone to prevent recurrences in high-risk, HER2 low-expressing breast cancer: A prospective, randomized, blinded, multicenter phase IIb trial.

1 Background: Preclinical data shows synergism between trastuzumab (Tz) and HER2-targeted vaccines. We evaluated adjvuant nelipepimut-S (NPS) + GM-CSF with Tz compared to Tz with GM-CSF alone in HER2 low-expressing (LE) breast cancer (BC) patients (pts) to prevent recurrences. After a planned interim analysis showed benefit in triple negative BC (TNBC) pts, the decision was made to close the trial with guidance from the independent DSMB. Here, we report the final analysis of the trial with 7 months (mo) of added follow-up (f/u). Methods: The phase 2b trial enrolled clinically disease-free BC pts after standard therapy. Pts were HLA-A2, A3, A24, and/or A26+, had HER2-LE (IHC 1-2+, FISH non-amplified) BC and were node positive and/or TNBC. Pts were randomized to placebo with GM-CSF(control group, CG) or NPS with GM-CSF (vaccine group, VG), while all received Tz Q3wk for 1 year. GM-CSF or NPS + GM-CSF were given q3wks x 6 starting with the 3rd Tz dose, and boosters every 6 months x 4. Safety was assessed and pts were followed clinically for recurrences. The primary outcome was DFS at 24 mo. Results: 589 pts were screened at 26 sites. 275 pts were enrolled and randomized (VG:136, CG:139). There were no clinicopathologic differences between groups. Concurrent Tz and NPS was safe with no added overall or cardiac toxicity compared to CG and no grade 4/5 toxicities. In the ITT analysis (median f/u 25.7 mo), the estimated DFS was favorable but did not reach significance in the VG compared with the CG (HR 0.62, 95% CI: 0.31-1.25, p = 0.18). In the TNBC pts, the VG had statistically improved DFS compared to the CG (HR 0.26, 95% CI: 0.08-0.81, p = 0.013). Conclusions: The combination of NPS with Tz is safe with no added toxicity compared to Tz alone, even after prolonged exposure (25.7 mo). In this final analysis, there was a trend towards benefit in the ITT population that improved since the interim analysis with added f/u. The significant benefit seen at interim in the TNBC pts continued to strengthen in the VG group. These findings could position the NPS + Tz combination as an adjuvant therapy for early-stage TNBC and warrant further study. Clinical trial information: NCT01570036.
Contrast enhanced ultrasonography for imaging focal liver lesions : Waste of time or worth the extra effort ?

Any information contained in this pdf file is automatically generated from digital material submitted to EPOS by third parties in the form of scientific presentations. References to any names, marks, products, or services of third parties or hypertext links to thirdparty sites or information are provided solely as a convenience to you and do not in any way constitute or imply ECR's endorsement, sponsorship or recommendation of the third party, information, product or service. ECR is not responsible for the content of these pages and does not make any representations regarding the content or accuracy of material in this file. As per copyright regulations, any unauthorised use of the material or parts thereof as well as commercial reproduction or multiple distribution by any traditional or electronically based reproduction/publication method ist strictly prohibited. You agree to defend, indemnify, and hold ECR harmless from and against any and all claims, damages, costs, and expenses, including attorneys' fees, arising from or related to your use of these pages. Please note: Links to movies, ppt slideshows and any other multimedia files are not available in the pdf version of presentations. www.myESR. org
mHealth - Areas of Application and the Effectiveness of Interventions

mHealth is seen as the next stage of developing applications for information and communication technologies in the area of health care. This paper pre-sents the evolution of mHealth systems and the results of the latest analyses of the effectiveness of mHealth interventions. Intensive mHealth development results from the near universal access to mobile devices, primarily smartphones, and devices that use sensory technologies. The great interest in mobile applications is reflected in the offer of online stores, which already provide many thousands of programs that can be installed on a mobile phone. Of the many possible mHealth applications, those supporting chronic diseases care and health promotion activities are regarded as the most promising. The growing interest in the area of mHealth is proven by the large number of publications that present syntheses of the available evidence. Although studies aimed at assessing the usefulness and effectiveness of health applications quite often raise doubts about the methodological quality, the signifi-cance of the analyses is positive. However, problems in maintaining the involvement of health users in mHealth solutions may be a cause for concern.
Feasibility of Two High-Intensity Interval Training Protocols in Cancer Survivors.

PURPOSE High-intensity interval training (HIIT) is a time-efficient and promising tool for enhancing physical fitness. However, there is lack of research concerning safety and feasibility of HIIT in cancer survivors. Therefore, two different HIIT protocols were investigated in terms of safety, feasibility, and acute exercise responses. METHODS Forty cancer survivors (20 breast and 20 prostate cancer survivors, 62.9 ± 9.2 yr, BMI 27.4 ± 3.9 kg·m, 6 to 52 wk after the end of primary therapy) completed a maximal cardiopulmonary exercise test and two HIIT protocols on a cycle ergometer: 10 × 1 min at peak power output (10 × 1) and 4 × 4 min at 85%-95% peak HR (4 × 4). Safety (adverse events), acute physiological responses (HR, blood lactate concentration) and acute psychological responses (RPE, enjoyment) were recorded. RESULTS No major but three minor adverse events occurred. Ninety-five percent of participants were able to complete each HIIT protocol. Estimated energy expenditure (159 ± 15 vs 223 ± 45 kcal, P < 0.001), HR (128 ± 20 vs 139 ± 18 bpm; P < 0.001), blood lactate concentration (5.4 ± 1.0 vs 5.9 ± 1.9 mmol·L; P = 0.035), and RPE legs/breathing (13.8 ± 2.0/13.1 ± 2.0 vs 14.6 ± 2.1/14.3 ± 2.0; P = 0.038/0.003) were significantly higher in the 4 × 4. Enjoyment did not differ between protocols (P = 0.301). CONCLUSIONS The two HIIT protocols as single sessions appear safe and in the vast majority of breast and prostate cancer survivors after the end of primary therapy also feasible and enjoyable. The 4 × 4 elicited higher energy expenditure and higher cardio-circulatory and metabolic strain and might therefore be preferred if a high training stimulus is intended.
CONSTRAINT INTERACTION AND WRITING SYSTEMS TYPOLOGY

The aim of this contribution is to analyze differences between writing systems from the perspective of Optimality Theory, a linguistic framework based on the interaction of a set of violable constraints, generally grounded in perception, production or cognition. In particular, this article proposes optimal theoretic analyses of the following phenomena: vowel and consonant length representation, Spelling Pronunciation, Eye Dialect. It is shown that the current approach is able to account for differences across writing systems, yet highlighting their similarities as well.
Perbandingan Hasil Deteksi Plagiarisme Dokumen dengan Metode Jaro-Winkler Distance dan Metode Latent Semantic Analysis

Various methods are applied in the application of plagiarism detection to help check the similarity of a document. Jaro-Winkler Distance can measure the distance between two strings. However, this method basically depends on the position of the word. Latent Semantic Analysis emphasizes the words contained in the document regardless of its linguistic character. This study compares the results of plagiarism detection using the Jaro-Winkler Distance and the Latent Semantic Analysis method. From comparing results of Jaro-Winkler Distance method and Latent Semantic Analysis method, Jaro-Winkler Distance method is better than Latent Semantic Analysis method if using the same test data. Jaro-Winkler Distance method will give plagiarism result 100% and Latent Semantic Analysis method will give plagiarism result 97,14%.
Subclinical Cardiovascular Disease and Fall Risk in Older Adults: Results From the Atherosclerosis Risk in Communities Study

Falls are frequent and often devastating events among older adults. Cardiovascular disease (CVD) is associated with greater fall risk; however, it is unknown if pathways that contribute to CVD, such as subclinical myocardial damage or wall strain, are related to future falls. We hypothesized that elevations in high‐sensitivity cardiac troponin T (hs‐cTnT) and N‐terminal pro‐B‐type natriuretic peptide (NT‐proBNP), measured in older adults, would be associated with greater fall risk.
Upper Echelon and Third Party Endorsement and Harvest Performance

Using a sample of 304 IPOs in the Korea, this paper examines interlinks between the characteristics of executives, the endorsement by the governments or parent companies and IPO performance measured in terms of the market capitalization of IPO firms. The results demonstrated that educational level, functional background and school prestige of executives are positively associated with the market capitalization at IPO. But age of executives, venture certification by Korean government and corporate venturing which this paper regards as the endorsement by third party have no significant relationship.
Monoclonal Antibodies Production, Diagnostic and Therapeutic Applications

Introduction:Monoclonal antibody is an antibody that is specific for one antigen and is produced by a B-cell hybridoma. Hybridoma technology has been replaced by recombinant DNA technology and transgenic method (mice, plant and chickens). Once monoclonal antibodies for a given substance have been produced, they can be used to detect the presence and quantity of this substance and so monoclonal antibody has many diagnostic applications. Aim of the work:To clarify the new methods for production of monoclonal antibodies and application of monoclonal antibodies in diagnostic and therapeutic approaches. Conclusion:Hybridoma technology has been replaced by recombinant DNA technology and transgenic method (mice, plant and chickens). Once monoclonal antibodies for a given substance have been produced, they can be used to detect the presence and quantity of this substance and so monoclonal antibody has many diagnostic applications as in the analysis of cell surface and secreted molecules like CD molecules identification and identification of transcription factor FOXP3. Also, they have a role in the molecular genomics to identify the susceptible genes that predispose to development of autoimmune thyroid diseases.
Evaluation of Homocysteine and Plasminogen Activator Inhibitor-1 Changes in Age Related Macular Degeneration

Age-related maculopathy (ARM) and its late stage, age-related macular degeneration (ARMD), are degenerative disorders of the central part of the macula. They are the leading cause of visual impairment and legal blindness among older persons. The cause of ARMD remains unknown, previous studies suggest an association of markers of angiogenesis, hemostasis, and endothelial dysfunction with ARMD. The role of homocysteine and PAI-1have been more controversial, so the purpose of this study was to evaluate the association between levels of plasma homocysteine and PAI-1 and age-related macular degeneration (ARMD). Forty eight age –related macular degeneration cases (23 atrophic and 25 exudative neovascular forms) and 30 controls with matched age and sex distribution were included in this study. Body mass index (BMI), lipid profile, plasma leptin, homocysteine and plasminogen activator inhibitor-1(PAI-1) levels were estimated. The present study points to an association of ARMD and dyslipidemia, and obesity. Also, there were a significant increase in the levels of plasma homocysteine and PAI-1 in exudative neovascular age-related macular degeneration (“wet” type). There was a highly positive correlation between level of leptin and PAI-1 and BMI in exudative neovascular form. In conclusion, the present study provides solid evidence that impaired fibrinolysis probably related to obesity, acting in concert with hyperhomocysteinemia may be involved in the pathogenesis of age-related macular degeneration. The strategies aimed at reducing the level of homocysteine and controlling the overproduction of plasminogen activators inhibitor-1 might offer protection against retinal damage in blinding retinal diseases especially exudative neovascular age-related macular degeneration.
Digital library: today’s need- a review

The library and information professionals are required to acquire such knowledge and skills as the library is one of the highly IT influenced service profession. Library and information professionals with IT skills are aimed at providing services that are expected of from the clientele in the new environment. This paper consists of digital library Advantage and disadvantages and function. This paper also highlights on the impact of information technology on the traditional library. Significance of use of Digital Library Software’s in building digital library environment and publication trends in Digital Libraries.
Management of Traumatic Bile Leakage

Major bile leak after blunt liver trauma (BLT) is rare but challenging. Data on endoscopic management of traumatic bile leaks are scare. We conducted a ret-rospective review to evaluate the role of Endoscopic retrograde cholangi-ography (ERCP) in the management of bile leaks following blunt abdominal trauma. In addition to a high grade injury, centrally-located liver injuries and initial TAE are also a significant risk factor for major bile duct injury. When patients after BLT are suffering from high fever, persistent abdominal pain or fullness, gross jaundice, we perform abdominal CT to detect intraabdominal fluid collection. If we aspirated bile from intraabdominal fluid, we made a di-agnosis of bile duct injury highly possible and ERCP therapy was indicated due to high possibility of major bile leak and to provide early intervention.
Preliminary evaluation of using machine learning to prioritise cancer patients for proton radiotherapy by predicting dose to organs at risk

The investment in proton radiation therapy raises the question of how cancer patients should be prioritised for this treatment method. A large advantage to proton therapy is that one can minimise the radiation received by organs at risk. Machine learning might be used for predicting the impact of organs for different radiotherapy methods. Thus, machine learning could be a helpful tool in the prioritisation process. In this thesis, spatial features were extracted from medical images of head and neck cancer patients. These features were used for analysis of photon dose distributions of target volumes and organs at risk. Additionally, correlations between features were investigated. It was confirmed that the distance between radiation target volumes and organs at risk correlated with the dose received by the organs. Further, the analysis contributed to an understanding of which spatial features were expected to affect the dose given to organs at risk. Within machine learning, both classification and regression algorithms were tested for dose prediction by using the extracted spatial features. In addition, different combinations of algorithms and features were evaluated. The algorithms with the highest accuracy scores were Logistic Regression and Random Forest. However, the machine learning models either overfitted or underfitted. Thus, other features and machine learning methods should be tested. A possibility for future work is to use deep learning for constructing spatial features and prioritising patients for proton therapy.
Deep Liquid State Machines with Neural Plasticity and On-Device Learning

The Liquid State Machine (LSM) is a recurrent spiking neural network designed for efficient processing of spatio-temporal streams of information. LSMs have several inbuilt features such as robustness, fast training and inference speed, generalizability, continual learning (no catastrophic forgetting), and energy efficiency. These features make LSMs an ideal network for deploying intelligence on-device. In general, single LSMs are unable to solve complex real-world tasks. Recent literature has shown emergence of hierarchical architectures to support temporal information processing over different time scales. However, these approaches do not typically investigate the optimum topology for communication between layers in the hierarchical network, or assume prior knowledge about the target problem and are not generalizable. In this thesis, a deep Liquid State Machine (deep-LSM) network architecture is proposed. The deep-LSM uses staggered reservoirs to process temporal information on multiple timescales. A key feature of this network is that neural plasticity and attention are embedded in the topology to bolster its performance for complex spatio-temporal tasks. An advantage of the deep-LSM is that it exploits the random projection native to the LSM as well as local plasticity mechanisms to optimize the data transfer between sequential layers. Both random projections and local plasticity mechanisms are ideal for on-device learning due to their low computational complexity and the absence of backpropagating error. The deep-LSM is deployed on a custom learning architecture with memristors to study the feasibility of on-device learning. The performance of the deep-LSM is demonstrated on speech recognition and seizure detection applications.
Effects of Trunk Training on Trunk, Upper and Lower Limb Motor Functions in Children with Spastic Cerebral Palsy: A Stratified Randomized Controlled Trial

Amac: Bu calismanin amaci, bilateral spastik Serebral Palsili cocuklarda govde egitiminin govde, ust ve alt ekstremite motor fonksiyonlari uzerindeki etkilerini arastirmaktir. Gerec ve Yontem: Bu calismaya 36 cocuk alindi; cocuklardan 19’u Govde egitimi grubuna, 17’si ise kontrol grubuna dâhil edildi. Cocuklarin motor fonksiyonlari; Govde Kontrol Olcum Olcegi, Kaba Motor Fonksiyon Olcumu, Ust Ekstremite Becerileri Kalitesi Testi, Pediatrik Denge Olcegi, Gillette Fonksiyonel Degerlendirme Olcegi, Cocuklar Icin Fonksiyonel Bagimsizlik Olcumu, Aile Etkilenimi Olcegi ile baslangicta ve sekiz hafta suren mudahale sonrasinda degerlendirildi. Farkliliklari degerlendirmek icin Wilcoxon Sirali Isaret Testi ve Mann-Whitney U Testi kullanildi. Bulgular: Govde egitim grubunda; Govde Kontrol Olcum Olcegi (p = 0.008), Kaba Motor Fonksiyon Olcumu (p = 0.047), Ust Ekstremite Becerileri Kalitesi Testi (p = 0.032), Pediatrik Denge Olcegi (p = 0.006), Gillette Fonksiyonel Degerlendirme Olcegi (p. = 0.011) ve Cocuklar icin Fonksiyonel Bagimsizlik Olcumu (p = 0.03) puanlari gelisme gosterdi (p <0,05). Sonuc: Bireysel olarak yapilandirilmis govde egitimi, bilateral spastik Serebral Palsili cocuklarin govde, ust ve alt ekstremite motor fonksiyonlarini ve aktivite duzeylerini gelistirmek icin umit vaat eden bir yontemdir.
Extracting Terms with EXTra

The identification and extraction of terms play an important role in many areas of knowledge-based applications, such as automatic indexing, knowledge discovery and management, as well as in computational approaches to terminology and lexicography. In this paper, we present EXTra, a tool designed to extract and calculate the degree of termhood of multiword expressions as a function of the statistical distribution of their parts and of the presence of other sub-terms. This work describes EXTra‘s algorithm, and provides the results of its evaluation on a task of term extraction from an Italian corpus of documents belonging to the domain of Public Administration.
Towards Artificial Learning Companions for Mental Imagery-based Brain-Computer Interfaces

Mental Imagery based Brain-Computer Interfaces (MI-BCI) enable their users to control an interface, e.g., a prosthesis, by performing mental imagery tasks only, such as imagining a right arm movement while their brain activity is measured and processed by the system. Designing and using a BCI requires users to learn how to produce different and stable patterns of brain activity for each of the mental imagery tasks. However, current training protocols do not enable every user to acquire the skills required to use BCIs. These training protocols are most likely one of the main reasons why BCIs remain not reliable enough for wider applications outside research laboratories. Learning companions have been shown to improve training in different disciplines, but they have barely been explored for BCIs so far. This article aims at investigating the potential benefits learning companions could bring to BCI training by improving the feedback, i.e., the information provided to the user, which is primordial to the learning process and yet have proven both theoretically and practically inadequate in BCI. This paper first presents the potentials of BCI and the limitations of current training approaches. Then, it reviews both the BCI and learning companion literature regarding three main characteristics of feedback: its appearance, its social and emotional components and its cognitive component. From these considerations, this paper draws some guidelines, identify open challenges and suggests potential solutions to design and use learning companions for BCIs.