Miracle-dz/UniFAR-FTUs huggingface dataset:
Stick To It: pilot study results of an intervention using gamification to increase HIV screening among young men who have sex with men in California.

Background In the United States, young men who have sex with men (YMSM) experience a disproportionate burden of HIV and sexually transmitted infections (STIs). Mobile health (mHealth) interventions, including those that incorporate elements of games ("gamification"), have the potential to improve YMSM engagement in desirable sexual health services and behaviors. Gamification leverages theory and tools from behavioral science to motivate people to engage in a behavior in a context of fun. The objective of the study was to determine whether an intervention using gamification is acceptable to YMSM in California and potentially increases repeat HIV screening. Methods Eligible YMSM were: (I) 18-26 years, (II) born as and/or self-identified as male, (III) reported male sexual partners, and (IV) lived in a zip code adjacent to one of the two study clinics in Oakland and Hollywood, California. The gamification intervention, Stick To It, had four components: (I) recruitment (clinic-based and online), (II) online enrollment, (III) online activities, and (IV) 'real-world' activities at the clinic. Participants earned points through online activities that could be redeemed for a chance to win prizes during HIV/STI screening and care visits. The primary outcome was intervention acceptability measured with participant engagement data and in-depth interviews. The secondary outcome was the intervention's preliminary effectiveness on repeat HIV screening within 6 months, restricted to the subset of men who provided consent for review of medical records and who had ≥6 months of follow-up. Outcomes were compared to a historical control group of similar YMSM who attended study clinics in the 12 months prior to intervention implementation. Results Overall, 166 of 313 (53%) eligible YMSM registered. After registration, 93 (56%) participants completed enrollment and 31 (19%) completed ≥1 online activity in the subsequent 6 months. Points were redeemed in clinic by 11% of the 166 users (27% and 5% of those who enrolled in the clinic and online, respectively). Despite moderate engagement, participants provided a positive assessment of the program in interviews, reporting that the inclusion of game elements was motivating. The analysis of repeat HIV testing was assessed among 31 YMSM who consented to medical record review and who had ≥6 months of follow-up. During follow-up, 15 (48%) received ≥2 HIV tests compared to 157 (30%) of a historical comparison group of 517 similar YMSM who lived in the same zip codes and who received care at the same clinics before the intervention (OR =2.15, 95% CI: 1.03-4.47, P=0.04). Conclusions Engagement in the intervention was modest, with YMSM who enrolled in a clinic more actively engaged than YMSM who enrolled online. Among the subset of participants recruited in the clinic, repeat HIV screening was higher than a comparison group of similar YMSM attending the same clinic in the prior year.
Fully Disposable Wireless Patch Sensor for Continuous Remote Patient Monitoring

Continuous remote monitoring with convenient wireless sensors is attractive for early detection of patient deterioration, preventing adverse events and leading to better patient care. This article presents an innovative sensor design of VitalPatch, a fully disposable wireless biosensor, for remote continuous monitoring, and details the performance assessments from bench testing and laboratory validation in 57 subjects. The bench testing results reveal that VitalPatch's QRS detection had a positive predictive value of $> 99$% from testing with ECG databases. The accuracies of HR, BR and skin temp (in mean absolute error, MAE) from bench testing were $< 5$ bpm, $< 1$ brpm, $< 1 ^{ \circ}C$ respectively. The laboratory testing in 57 subjects revealed the accuracy of HR and BR to be $2.2 \pm 1.5$ bpm and $1.7 \pm 0.7$ brpm respectively for stationary periods. The absolute percent error in detecting steps was $4.7 \pm 4.6$%, and the accuracy in detecting posture was $96.4 \pm 3.1$%. Meanwhile, the specificity and sensitivity of fall detection $( \mathrm {n}=20)$ was found to be 100% and 93.8%, respectively. In conclusion, VitalPatch biosensor demonstrated clinically acceptable accuracies for its vital signs and actigraphy metrics applicable for continuous unobtrusive patient monitoring.
An Assistive Robotic Arm For People With Physical Disabilities Of The Extremities: HOG Based Food Detection

An assistive robotic arm for helping feed people with physical disabilities of the extremities is presented in this paper. In order to detect foods on a plate, HOG based food detectors were created and implemented in our robotic arm system. The system consists of a 6-axis robotic arm, Web camera, laptop computer, and microcontroller. Using the robotic arm system, we performed two experiments: (1) eating chicken nuggets task and (2) eating shao mais task. It was found from the experimental results that the proposed assistive robotic arm system could stably transfer chicken nuggets and shao mais to the user's mouth.
Borohydride‐Scaffolded Li/Na/Mg Fast Ionic Conductors for Promising Solid‐State Electrolytes

Borohydride solid‐state electrolytes with room‐temperature ionic conductivity up to ≈70 mS cm−1 have achieved impressive progress and quickly taken their place among the superionic conductive solid‐state electrolytes. Here, the focus is on state‐of‐the‐art developments in borohydride solid‐state electrolytes, including their competitive ionic‐conductive performance, current limitations for practical applications in solid‐state batteries, and the strategies to address their problems. To open, fast Li/Na/Mg ionic conductivity in electrolytes with BH4 − groups, approaches to engineering borohydrides with enhanced ionic conductivity, and later on the superionic conductivity of polyhedral borohydrides, their correlated conductive kinetics/thermodynamics, and the theoretically predicted high conductive derivatives are discussed. Furthermore, the validity of borohydride pairing with coated oxides, sulfur, organic electrodes, MgH2, TiS2, Li4Ti5O12, electrode materials, etc., is surveyed in solid‐state batteries. From the viewpoint of compatible cathodes, the stable electrochemical windows of borohydride solid‐state electrolytes, the electrode/electrolyte interface behavior and battery device design, and the performance optimization of borohydride‐based solid‐state batteries are also discussed in detail. A comprehensive coverage of emerging trends in borohydride solid‐state electrolytes is provided and future maps to promote better performance of borohydride SSEs are sketched out, which will pave the way for their further development in the field of energy storage.
Heart Rate Variability Analysis on CEBS Database Signals

Heart rate variability (HRV) is a valuable noninvasive tool of assessing the state of cardiovascular autonomic function. Over the recent years there has been interest in heart rate monitoring without electrodes. Seismocardiography (SCG) is a non-invasive technique of recording and analyzing cardiovascular vibrations. The purpose of this study is to compare HRV indices calculated on SCG and ECG signals from Combined measurement of ECG, breathing and seismocardiogram (CEBS) database. The authors use 20 signals lasting 200 s acquired from patients in supine position and compare heart rate variability parameters from the seismocardiogram and ECG reference signal. They assessed the performance of heart beat detector on SCG channel. The results of modified version of SCG heart beat detection prove its good performance on signals with higher sampling frequency. Strong linear correlation of HRV indices calculated from ECG and SCG prove the reliability of SCG in HRV analysis performed on signals from CEBS Database.
Comparisons of Oscillometric Blood Pressure Measurements at Different Sites of the Upper Limb

The importance of home blood pressure (BP) monitoring has been emphasized for achieving effective hypertension management. Currently, the most popular non-invasive BP monitors for home use are the upper-arm cuff-style oscillometric devices which determine BP from the cuff pressure oscillations during the cuff inflation/deflation induced by the pulsatile blood flow in the compressed arteries. However, the large size of the upper-arm cuff is not favorable for attachment in daily life for ambulatory BP monitoring. Therefore, the miniaturization of home BP monitors is in demand to improve their portability for frequent measurements. This work examined the oscillometric measurement of mean blood pressure(MBP) at upper arm (UA), middle forearm (MA), wrist (WR), finger proximal phalanx (FP) and finger distal phalanx (FD) on 14 young adults. The experimental results showed that the mean and standard deviation of the differences between the oscillometric MBP at UA and the other sites are 8.86±6.28 mm Hg at MA, 14.43±5.52 mm Hg at WR, 9.80±6.57 mm Hg at FP and −0.77±6.37 mm Hg at FD, respectively. Based on hand checking and literature data, the order of the ratios of the bone volume to the surrounding tissue volume from large to small is WR>MA≈FP>FD≈UA. Together with the experimental results, we infer that a larger bone-tissue volume ratio could result in a larger oscillometric MBP reading. Since the applied cuff pressure are supposed to be less effectively absorbed by the soft-tissue surrounding a larger rigid bone, it is more difficult to occlude the arteries buried in the pressure-absorbing tissue at a bonier site by the inflatable cuffs, which leads to a higher measured MBP than the real MBP. In conclusion, it is promising to develop the finger oscillometric BP monitors to be worn on the finger distal phalanx which have a compact size and provide consistent measurement results with the UA measurements.
Cardiac Dysfunction in the Sigma 1 Receptor Knockout Mouse Associated With Impaired Mitochondrial Dynamics and Bioenergetics

Background The Sigma 1 receptor (Sigmar1) functions as an interorganelle signaling molecule and elicits cytoprotective functions. The presence of Sigmar1 in the heart was first reported on the basis of a ligand‐binding assay, and all studies to date have been limited to pharmacological approaches using less‐selective ligands for Sigmar1. However, the physiological function of cardiac Sigmar1 remains unknown. We investigated the physiological function of Sigmar1 in regulating cardiac hemodynamics using the Sigmar1 knockout mouse (Sigmar1−/−). Methods and Results Sigmar1−/− hearts at 3 to 4 months of age showed significantly increased contractility as assessed by left ventricular catheterization with stimulation by increasing doses of a β1‐adrenoceptor agonist. Noninvasive echocardiographic measurements were also used to measure cardiac function over time, and the data showed the development of cardiac contractile dysfunction in Sigmar1−/− hearts as the animals aged. Histochemistry demonstrated significant cardiac fibrosis, collagen deposition, and increased periostin in the Sigmar1−/− hearts compared with wild‐type hearts. Ultrastructural analysis of Sigmar1−/− cardiomyocytes revealed an irregularly shaped, highly fused mitochondrial network with abnormal cristae. Mitochondrial size was larger in Sigmar1−/− hearts, resulting in decreased numbers of mitochondria per microscopic field. In addition, Sigmar1−/− hearts showed altered expression of mitochondrial dynamics regulatory proteins. Real‐time oxygen consumption rates in isolated mitochondria showed reduced respiratory function in Sigmar1−/− hearts compared with wild‐type hearts. Conclusions We demonstrate a potential function of Sigmar1 in regulating normal mitochondrial organization and size in the heart. Sigmar1 loss of function led to mitochondrial dysfunction, abnormal mitochondrial architecture, and adverse cardiac remodeling, culminating in cardiac contractile dysfunction.
Forestalling the Epidemics of Parkinson's Disease Through Plant-Based Remedies

Parkinson's disease (PD) as the second leading neurodegenerative disease, imposes a heavy burden among individuals as well as economies worldwide. The main characteristics of PD is a progressive loss of dopaminergic neurons resulting in the loss of motor function, the occurrence of non-motor symptoms, and cognitive decline. Similar to many other chronic diseases, complementary and alternative therapies (CAT) are very popular for the treatment of this disease. This review evaluates six plants, three each from European and Asian traditional medicinal systems: (1) Atropa belladonna, (2) Hyoscyamus niger, (3) Lepidium meyenii, (4) Aspargus racemosus, (5) Mucuna pruriens L. , and (6) Gingko biloba. Atropa belladonna, and Hyoscyamus niger in particular, are better known for their poisonous and narcotic effects than as potentially effective plants for the treatment of neurodegenerative diseases. Ginkgo biloba is one of the most widely cultured plants in Traditional Chinese Medicine with high antioxidant potential which contributes to its neuroprotective/ anti-apoptotic activity. The bioactive compounds, anti-neurodegenerative effects and other neuroprotective effects of all six plants are discussed herein.
Physical Activity and Sleep Analysis of Heart Failure Patients using Multi-sensor Patches

Traditional heart failure markers fail to reliably predict heart-failure related hospitalisations and deaths. Multi- sensor patch data can provide an objective insight into activity and sleep patterns of patients and may therefore improve the performance of current risk-quantification algorithms. This work aimed to establish the feasibility of collecting multi-sensor patch data from heart failure patients and to perform an initial analysis of activity and sleep patterns of heart failure patients in relation to disease severity. 13 heart failure patients from the SUPPORT-HF study were provided with chest-worn multisensor patches and asked to wear the devices continuously for up to seven consecutive days. Using a combination of impedance, heart rate and accelerometer data participants’ sleep and wakefulness information were extracted and analyzed in relation to self-reported symptom scores. Patch data for eleven patients were of high enough quality to be included in the analysis, accounting for 63 patient days worth of data. The heart failure patients slept for an average of 8.3 hours a night and experienced 2.8 sleep interruptions. Potential differences in sleep angle, heart rate and wake-time activity were found for patients with different heart failure severity. Larger studies are necessary to create a more coherent picture of the potential of activity and sleep as a markers for heart failure deterioration.
KU-CST at CoNLL–SIGMORPHON 2018 Shared Task: a Tridirectional Model

In this paper we describe our sequence-to-sequence model for morphological inﬂection. We have constructed a common Encoder-Decoder network that encodes the input lemma into a dense vector to translate it to an inﬂected form, based on input morphological tags. The main novelty of the model is that the input lemma is encoded in three different directions: left-to-right, right-to-left and boundaries-to-center. In this paper we report the accuracies of the model compared to the same bidirectional approach.
Methylphenidate and Reduced Overweight in Children With ADHD

Objective: The objective of this study was to investigate odds ratios of overweight/obesity in children with ADHD and to compare the change in body mass index (BMI) after initiation of methylphenidate treatment in normal versus overweight/obese children. Method: This population-based study included 724 children (<18 years), of whom 197 were girls. Odds ratios for overweight and obesity were calculated, comparing the study group with a reference group from the same area. After initiation of methylphenidate treatment, changes in BMI were assessed for up to 3 years. Results: Children with ADHD had an odds ratio of 1.87 (95% confidence interval [CI]: [1.60, 2.19]) for overweight/obesity. A decrease in BMI standard deviation score was identified 1 to 3 years into treatment. The decrease was beneficially greater in overweight/obese as compared with normal weight children-mean (SD) −0.64 (0.80) versus −0.39 (0.68); p = . 001-and greater in girls. Conclusion: Medication with methylphenidate may facilitate favorable weight development in children with ADHD and overweight/obesity.
Wearable Electromagnetic Head Imaging System Using Flexible Wideband Antenna Array Based on Polymer Technology for Brain Stroke Diagnosis

Given the increased interest in a fast, portable, and on-spot medical diagnostic tool that enables early diagnosis for patients with brain stroke, a new approach of a wearable electromagnetic head imaging system based on the polymer material is proposed. A flexible low-profile, wideband, and unidirectional antenna array with electromagnetic band gap (EBG) and metamaterial (MTM) unit cells reflector is utilized. The designed antenna consists of a 4 × 4 radiating patch loaded with symmetrical extended open-ended U-slots and fed by combination of series and corporate transmission lines. A mushroom-like 10-EBG unit cell arrays are arranged around the feeding network to reduce surface waves, whereas 4 × 4 MTM unit cells are placed on the back-side of the antenna to enable unidirectional radiation. The antenna is designed and embedded on a multilayer low cost, low loss, transparent, and robust polymer poly-di-methyl-siloxane (PDMS) substrate and optimized to operate in contact with the human head. The simulated and measured results show that the antenna has a fractional bandwidth of 53.8% (1.16–1.94 GHz), more than 80% of radiation efficiency, and satisfactory field penetration in the head tissues with a safe specific absorption rate. An eight-element array is then configured on 300 × 360 × 4.1 mm3 PDMS material covering an average human head size and used as a worn part of the imaging system. A realistic-shaped 3-D specific anthropomorphic mannequin (SAM) head phantom is used to verify the performance of the designed array. The imaging results indicate the possibility of using the designed conformal array to detect a bleeding inside the brain using a confocal image algorithm.
Liver Patient Classification using Logistic Regression

In this research paper, we have applied machine learning approach to classify liver patient (i.e., Liver Patient or Not Liver Patient) using patient gender and laboratory medical test data. The labelled dataset was published on UCI machine learning repository as "Indian Liver Patient Records". The motivation behind this work is to apply simple and less computational classification technique like Logistic Regression and compare its results with earlier results obtained on the same dataset by other researchers. The classification results of Logistic regression have proved its significance on this dataset by achieving better classification accuracy than NBC (Naïve Bayes Classifier), C4.5 (Decision Tree), SVM (Support Vector Machine), ANN (Artificial Neural Network), and KNN (K Nearest Neighbors) as presented in Ramana et al., research paper.
Named Person Coreference in English News

People are often entities of interest in tasks such as search and information extraction. In these tasks, the goal is to find as much information as possible about people specified by their name. However in text, some of the references to people are by pronouns (she, his) or generic descriptions (the professor, the German chancellor). It is therefore important that coreference resolution systems are able to link these different types of mentions to the correct person name. Here, we evaluate two state of the art coreference resolution systems on the subtask of Named Person Coreference, in which we are interested in identifying a person mentioned by name, along with all other mentions of the person, by pronoun or generic noun phrase. Our analysis reveals that standard coreference metrics do not reflect adequately the requirements in this task: they do not penalize systems for not identifying any mentions by name and they reward systems even if systems find correctly mentions to the same entity but fail to link these to a proper name (she--the student---no name). We introduce new metrics for evaluating named person coreference that address these discrepancies. We present a simple rule-based named entity recognition driven system, which outperforms the current state-of-the-art systems on these task-specific metrics and performs on par with them on traditional coreference evaluations. Finally, we present similar evaluation for coreference resolution of other named entities and show that the rule-based approach is effective only for person named coreference, not other named entity types.
Nonsystematic Range Cell Migration Analysis and Autofocus Correction for Bistatic Forward-looking SAR

In general, autofocus methods integrated with frequency-domain imaging algorithms are instrumental to obtain a well-focused bistatic forward-looking synthetic aperture radar (BFSAR) image in the presence of motion errors. Nevertheless, before applying autofocus methods to correct the azimuth phase errors, range cell migration (RCM) should be eliminated by the RCM correction (RCMC) procedure in frequency-domain imaging algorithms. With motion errors being taken into account, there always exists some residual nonsystematic RCM (NsRCM), which refers to the residual migration components after the RCMC procedure. For the conventional side-looking SAR, NsRCM is caused by motion errors. On the other hand, NsRCM of BFSAR is originated from motion errors before RCMC and the NsRCM amplified by the RCMC procedure. In this paper, we analyze the different types of NsRCM in BFSAR imaging and their relationship. Based on the analyses, we propose an autofocus NsRCM correction scheme for BFSAR imagery using frequency-domain imaging algorithms that can eliminate the range-dependent NsRCM. The proposed scheme consists of three steps. First, for the BFSAR data after range compression and RCMC, a division procedure is carried out in the azimuth direction. The subblocks with the highest signal-to-clutter ratio along the range direction are selected after the azimuth segmentation procedure. Second, for the selected subblocks, the total NsRCM is estimated based on the minimum-entropy criterion. Based on the estimation results, different parts of the NsRCM are obtained by solving an ordinary differential equation. Third, a two-step compensation of the NsRCM is executed to reach the spatially variant correction. Simulations and experimental results are provided to demonstrate that our proposed scheme is effective for BFSAR imaging.