Miracle-dz/UniFAR-FTUs huggingface dataset:
CCA Secure Proxy Re-Encryption Scheme for Secure Sharing of Files through Cloud Storage

Cloud Storage Service(CSS) provides unbounded, robust file storage capability and facilitates for pay-per-use and collaborative work to end users. But due to security issues like lack of confidentiality, malicious insiders, it has not gained wide spread acceptance to store sensitive information. Researchers have proposed proxy re-encryption schemes for secure data sharing through cloud. Due to advancement of computing technologies and advent of quantum computing algorithms, security of existing schemes can be compromised within seconds. Hence there is a need for designing security schemes which can be quantum computing resistant. In this paper, a secure file sharing scheme through cloud storage using proxy re-encryption technique has been proposed. The proposed scheme is proven to be chosen ciphertext secure(CCA) under hardness of ring-LWE, Search problem using random oracle model. The proposed scheme outperforms the existing CCA secure schemes in-terms of re-encryption time and decryption time for encrypted files which results in an efficient file sharing scheme through cloud storage.
Do mentor support for ethnic-racial identity and mentee cultural mistrust matter for girls of color? A preliminary investigation.

OBJECTIVES The aim of this repeated-measures study was to examine the roles of cultural mistrust and perceived mentor support for ethnic-racial identity in a sample of girls of color. It was hypothesized that mentors' support for ethnic-racial identity measured at baseline would influence relationship quality, as well as the girls' ethnic identity and cultural mistrust, at the end of the intervention, adjusting for baseline measures. It was also hypothesized that girls' cultural mistrust toward Whites at baseline would be negatively associated with mentoring relationship quality at the end of the intervention. METHOD Participants were 40 adolescent girls of color who were matched with racially-ethnically diverse women mentors in a community-based mentoring program. RESULTS Mentor support for ethnic-racial identity as reported by youth significantly predicted relative increases in youth reports of relational but not instrumental satisfaction. Higher mentor support for ethnic-racial identity also significantly predicted increases in ethnic identity exploration, but only among girls with White mentors. Further, youth's reported greater cultural mistrust toward Whites was a significant predictor of decreased instrumental relationship satisfaction among girls with White mentors. CONCLUSIONS Findings support the importance of further efforts to understand the roles of culturally relevant relationship processes and youth attitudes in mentoring interventions for girls of color. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
Cleaning and Fine Structuring SNR Samples for Flexible Class labeling

Amplitude modulation spectrogram (AMS) feature is a useful and efficient time frequency representation of speech, in particular for speech analysis and synthesis. However, due to the tedious calculation for signal to noise ratio (SNR) for each sub-band in each frame, data preparation is always a time consuming work. Two major problems need to be addressed here. Firstly, AMS features and associated SNR values are created simultaneously and saved synchronously in order to be accessed conveniently. It will cause memory trouble when sample number is huge. Secondly, SNR samples are used and refreshed ceaselessly in classification. It is always desirable that least operations will be required on existing dataset. The research reported in this paper describes our investigations to these problems with the aim to label SNR values which are associated with AMS feature vectors. Since these labels and associated AMS feature vectors are to be employed as training data in a deep belief network (DBN) for SNR classification, they should possess some essential characteristics, e.g., coverage of the feature space, approximate sample number in each class, easy to extend, etc. Solutions to these considerations are explained one by one, and modifications of dataset in practice are recommended as well.
Hierarchical Brain Network for Face and Voice Integration of Emotion Expression

The brain has separate specialized computational units to process faces and voices located in occipital and temporal cortices. However, humans seamlessly integrate signals from the faces and voices of others for optimal social interaction. How are emotional expressions, when delivered by different sensory modalities (faces and voices), integrated in the brain? In this study, we characterized the brains’ response to faces, voices, and combined face-voice information (congruent, incongruent), which varied in expression (neutral, fearful). Using a whole-brain approach, we found that only the right posterior superior temporal sulcus (rpSTS) responded more to bimodal stimuli than to face or voice alone but only when the stimuli contained emotional expression. Face-and voice-selective regions of interest extracted from independent functional localizers, similarly revealed multisensory integration in the face-selective rpSTS only; further, this was the only face-selective region that also responded significantly to voices. Dynamic Causal Modeling revealed that the rpSTS receives unidirectional information from the face-selective fusiform face area (FFA), and voice-selective temporal voice area (TVA), with emotional expression affecting the connection strength. Our study promotes a hierarchical model of face and voice integration, with convergence in the rpSTS, and that such integration depends on the (emotional) salience of the stimuli.
Fasudil, a Rho-Kinase Inhibitor, Exerts Cardioprotective Function in Animal Models of Myocardial Ischemia/Reperfusion Injury: A Meta-Analysis and Review of Preclinical Evidence and Possible Mechanisms

Fasudil, a Rho-kinase inhibitor, has shown outstanding therapeutic effects against cerebral vasospasm after subarachnoid hemorrhage (SAH) in humans. Studies show various biological effects of fasudil in the cardiovascular system. We conducted a preclinical systematic review to determine the efficacy and possible mechanisms of fasudil on animal models of myocardial ischemia/reperfusion (I/R) injury. Nineteen studies involving 400 animals were identified after searching 8 databases for articles published till June 2018. The methodological quality was assessed by the Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies (CAMARADES) 10-item checklist. The data were analyzed using Rev-Man 5.3 software, and the score of study quality ranged from 3 to 6 points. Compared to the control group, fasudil treated animals showed reduced myocardial infarct size (P < 0.05), lower levels of cardiac enzymes (P < 0.05) and cardiac troponin T (P < 0.05), improved systolic and diastolic functions (P < 0.05), and increased degree of decline in the ST-segment (P < 0.05). The possible mechanisms of fasudil action against myocardial I/R injury are improvement in coronary vasodilation, inhibition of apoptosis and oxidative stress, relieving inflammation, and reduction in endoplasmic reticulum stress and metabolism. In conclusion, fasudil exerts a cardio-protective function through multiple signaling pathways in animal models of myocardial I/R injury.
Legacy Financial Transmission Rights and their Function and Role they Play during the Financial Transmission Rights Auction

The Financial Transmission Rights Market is a mechanism used by the Market Participant for hedging against the Day Ahead Market energy price differences across a Path caused by the congestion cost charges that affects the Local Marginal Price. This paper delves into the beginning and creation of the Mexican Market of Financial Transmission Rights, FTR main characteristics, considerations relating to the assignment of the Legacy FTRs and the current situation of the Financial Transmission Rights Market, this is directly connected to the Mexican Wholesale Electricity Market.
Comparative Efficacy of Three Commercial Ectoparasiticides against Fleas in Naturally Infested Dogs

Fleas that infest pets are considered important parasites of both animals and humans. These insects cause irritation and can also transmit zoonotic diseases. Research has led to a rapid expansion in the development of flea control products. In the face of a market that offers dozens of commercial ectoparasiticides for dogs and cats, pet owners and veterinarians must be provided with evidence to support their decision to select a product to control fleas. To compare the efficacy of three commercially available products against companion animal fleas, a trial was conducted on naturally-infested dogs in order to validate their pulicidal activity. Thirty-two flea-infested dogs with fleas were divided into 4 groups (n = 8) for each treatment. Group 1 received one pipette of permethrin as a spot-on dose of 650 mg/ml. The second group received 9.7% fipronil as a spot-on formulation. Group 3 was treated with a spot-on formulation of permethrin 7.40% plus piperonyl butoxide at 7.40%. Group 4 remained as the untreated control. Fleas of all experimental dogs were examined and counted on days 0, 3, 7, 14, 21 and 28 to determine the percentage of flea reduction. Results showed a 100% efficacy for all tested products. Identified species were: Ctenocephalides felis (75.7%), Ctenocephalides canis (15.9%) and Pulex irritans (9.5%). Based on these results, it was concluded that the three anti-flea products evaluated under the conditions of this study, produced an excellent efficacy as from the third day after treatment.
Downlink Multi-User Scheduling With Zero-Forcing Precoding in Cognitive Hetnets: From Performance Tradeoff Perspective

In a cognitive heterogeneous network (HetNet), cognitive small cell base stations (SBSs) can perceive and utilize the frequency band belonging to massive MIMO enabled macrocell base stations opportunistically. There is a performance tradeoff between the macrocell-tier and the SC-tier. To restrict the cross-tier interference from SBSs to macrocell users (MUs), we adopt the concept of exclusion region (ER). A multi-user scheduling with zero-forcing precoding strategy is proposed to maximize the utility of the entire HetNet. The involved multi-user scheduling problem is formulated as the maximization of a general utility function. However, the problem is intractable for two reasons: First, it depends on ergodic rate bothering online scheduling. Second, ERs formed by different scheduled MUs may intersect with each other which makes the problem difficult to solve. Therefore, we convert the maximization problem into a simplified version and design an interfering SBS cluster splitting-based iterative user selection algorithm to figure out the scheduled MU set and its corresponding precoder. Simulation results reveal that the proposed scheme achieves significant gains compared with existing strategies and that the proposed strategy is efficient for dense HetNets.
Partial Feedback Analysis on Achievable Rate in Relay Channels

For the benefit of discrete memoryless relay channel with relay-source feedback configuration, an achievable rate via partial decode and forward strategy is proposed. Moreover, by extending the discrete memoryless results to the continuous alphabet version, the achievable rate of the Gaussian relay channel with relay-source feedback will be calculated. Finally, through comparison of the achievable rates, with and without the feedback, the impact of the feedback on increasing or decreasing the achievable rate is analyzed. The derived achievable rate is shown to resolve the residual uncertainty at the receiver in an efficient way.
Private Document Editing with some Trust

Document editing has migrated in the last decade from a mostly individual activity to a shared activity among multiple persons. The World Wide Web and other communication means have contributed to this evolution. However, collaboration via the web has shown a tendency to centralize information, making it accessible to subsequent uses and abuses, such as surveillance, marketing, and data theft. Traditionally, access control policies have been enforced by a central authority, usually the server hosting the content, a single point of failure. We describe a novel scheme for collaborative editing in which clients enforce access control through the use of strong encryption. Encryption keys are distributed as the portion of a URI which is not shared with the server, enabling users to adopt a variety of document security workflows. This system separates access to the information ("the key") from the responsibility of hosting the content ("the carrier of the vault"), allowing privacy-conscious editors to enjoy a modern collaborative editing experience without relaxing their requirements. The paper presents CryptPad, an open-source reference implementation which features a variety of editors which employ the described access control methodology. We will detail approaches for implementing a variety of features required for user productivity in a manner that satisfies user-defined privacy concerns.
Knit Band Sensor for Myoelectric Control of Surface EMG-Based Prosthetic Hand

Surface electromyography (sEMG) sensor is widely used to operate a myoelectric prosthesis and it has been further developed for various applications. In this paper, a multi-channel sEMG knit band sensor is newly suggested to be worn easily by amputee for myoelectric prosthesis. The band sensor was fabricated by knitting the silver-plated conductive yarn for electrodes with the moisture-wicking technical yarn for the comfort, ultimately, to record eight-channel sEMG signals simultaneously. Several experiments were conducted to verify the performance of knit band sensor. The normalized correlation between the developed knitted electrodes and the disposable (Ag/AgCl) electrodes is very high (0.95) at the same muscular area. The average signal-to-noise ratio value of the knitted electrodes (17.91 dB) was higher than that of the disposable electrodes (13.30 dB). For the performances of motion classification, overall classification accuracy of the knitted electrodes (93.2%) was higher than that of the disposable (87.9%). These experimental results have supported that the developed knit band sensor was as effective as the disposable electrodes.
Simulation and Measurement of Atmospheric Effect on Optical Beam

The basic atmospheric phenomena (mainly fog) influencing the optical beams, which are generated by laser diodes at wavelengths of 650 and 850 nm, will be introduced in this article. Also the possibilities of the Software Defined Radio utilization, which can create different types of modulation (M-QAM, M-PSK) and can be used for evaluation of the influences of artificial atmospheric effect on the modulated optical beam in the acrylate box, will be presented. The results from the real measurements compared with ANSYS software models will be shown as well.
Is palliative care cost-effective in low-income and middle-income countries? A mixed-methods systematic review

Introduction Of the 40 million people globally in need of palliative care (PC), just 14% receive it, predominantly in high-income countries. Within fragile health systems that lack PC, incurable illness is often marked by pain and suffering, as well as burdensome costs. In high-income settings, PC decreases healthcare utilisation, thus enhancing value. Similar cost-effectiveness models are lacking in low-income and middle-income countries and with them, the impetus and funding to expand PC delivery. Methods We conducted a systematic search of seven databases to gather evidence of the cost-effectiveness of PC in low-income and middle-income countries. We extracted and synthesised palliative outcomes and economic data from original research studies occurring in low-income and middle-income countries. This review adheres to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and includes a quality appraisal. Results Our search identified 10 eligible papers that included palliative and economic outcomes in low-income and middle-income countries. Four provided true cost-effectiveness analyses in comparing the costs of PC versus alternative care, with PC offering cost savings, favourable palliative outcomes and positive patient-reported and family-reported outcomes. Conclusions Despite the small number of included studies, wide variety of study types and lack of high-quality studies, several patterns emerged: (1) low-cost PC delivery in low-income and middle-income countries is possible, (2) patient-reported outcomes are favourable and (3) PC is less costly than the alternative. This review highlights the extraordinary need for robust cost-effectiveness analysis of PC in low-income and middle-income countries in order to develop health economic models for the delivery of PC, direct resource allocation and guide healthcare policy for PC delivery in low-income and middle-income countries.
A Compact and Low-Loss Bandpass Filter Using Self-Coupled Folded-Line Resonator With Capacitive Feeding Technique

This letter proposes a compact and low-loss on-chip bandpass filter (BPF) design in (Bi)-CMOS technology. The proposed BPF consists of a self-coupled folded-line resonator and a pair of metal–insulator–metal capacitors. The proposed resonator has a property of flexible self-resonant frequency to form a transmission zero, which is analyzed in detail by a simplified <italic>LC</italic> equivalent circuit. Moreover, the parametric studies of the feeding capacitance for the proposed BPF design have been performed to demonstrate the tenability of the resonant frequency. For verification, the proposed BPF is fabricated in a standard 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> (Bi)-CMOS technology. The measured results show that the proposed BPF has a notch with 25.4-dB suppression at 65 GHz and an insertion loss of 1.66 dB in the passband. The chip size of the device, excluding the test pads, is only 0.009 mm<sup>2</sup> (<inline-formula> <tex-math notation="LaTeX">$0.11\times 0.086$ </tex-math></inline-formula> mm<sup>2</sup>).
Low Bitrate Ambient FM Backscattering for Low Cost and Low Power Sensing

BPID5174999. Ambient backscatter is the new next novel approach for extremely low power communication. Using existing ambient signals for communication, the communication scheme is simplified only to a sensor-node and a receiver circuit. In this work is presented a wireless tag using FM signals for backscatter communication. The receiver consists of a commercial low-cost RTL SDR connected to a computer and a algorithm from signal processing. The tag has been demonstrated in an indoor laboratory setup using the most powerfull FM station.
Power Efficient Object Detector with an Event-Driven Camera on an FPGA

We propose an object detection system using a sliding window method for an event-driven camera which outputs a subtracted frame (usually a binary value) when changes are detected in captured images. Since it skips unchanged portions, our system operates faster and with lower power consumption than a system using a straightforward sliding window approach. Since the event-driven camera output consists of binary precision frames, an all binarized convolutional neural network (ABCNN) can be available. Although the realization of all binarization decreases the classification accuracy, it allows all convolutional layers to share the same binarized convolutional circuit, thereby reducing the area requirement. We implemented our proposed method on a zcu102 FPGA evaluation board and then evaluated it using the PETS 2009 dataset. The results show that even though our proposed method reduced a recognition accuracy by 6 points, the computation time for an entire frame was 157 times faster than the time of the BCNN without an event-driven camera. Compared with the object detector on the mobile GPU (NVIDIA Jetson TX2), frames per second (FPS) of the FPGA system was 4.3 times faster, and the performance per power efficiency was approximately 54.2 times higher.
Use of structural equation models to predict dengue illness phenotype

Background Early recognition of dengue, particularly patients at risk for plasma leakage, is important to clinical management. The objective of this study was to build predictive models for dengue, dengue hemorrhagic fever (DHF), and dengue shock syndrome (DSS) using structural equation modelling (SEM), a statistical method that evaluates mechanistic pathways. Methods/Findings We performed SEM using data from 257 Thai children enrolled within 72 h of febrile illness onset, 156 with dengue and 101 with non-dengue febrile illnesses. Models for dengue, DHF, and DSS were developed based on data obtained three and one day(s) prior to fever resolution (fever days -3 and -1, respectively). Models were validated using data from 897 subjects who were not used for model development. Predictors for dengue and DSS included age, tourniquet test, aspartate aminotransferase, and white blood cell, % lymphocytes, and platelet counts. Predictors for DHF included age, aspartate aminotransferase, hematocrit, tourniquet test, and white blood cell and platelet counts. The models showed good predictive performances in the validation set, with area under the receiver operating characteristic curves (AUC) at fever day -3 of 0.84, 0.67, and 0.70 for prediction of dengue, DHF, and DSS, respectively. Predictive performance was comparable using data based on the timing relative to enrollment or illness onset, and improved closer to the critical phase (AUC 0.73 to 0.94, 0.61 to 0.93, and 0.70 to 0.96 for dengue, DHF, and DSS, respectively). Conclusions Predictive models developed using SEM have potential use in guiding clinical management of suspected dengue prior to the critical phase of illness.
A Systematic Review and Meta-Analysis of Alpha Synuclein Auto-Antibodies in Parkinson's Disease

Immune dysfunction has been associated with Parkinson's disease (PD) and its progression. Antibodies play an important role in both innate and adaptive responses, acting as powerful effector molecules that can propagate inflammation by activating innate immune cells. Alpha synuclein binding antibodies have been described in PD patients with conflicting associations. In this article, we consider the potential mechanistic basis of alpha synuclein auto-antibody development and function in PD. We present a systematic review and meta-analysis of antibody studies in PD cohorts showing that there is weak evidence for an increase in alpha synuclein auto-antibodies in PD patients particularly in early disease. The confidence with which this conclusion can be drawn is limited by the heterogeneity of the clinical cohorts used, inclusion of unmatched controls, inadequate power and assay related variability. We have therefore made some recommendations for the design of future studies.
The Fake News Challenge: Stance Detection using Traditional Machine Learning Approaches

Fake news has caused sensation lately, and this term is the Collins Dictionary Word of the Year 2017. As the news are disseminated very fast in the era of social networks, an automated fact checking tool becomes a requirement. However, a fully automated tool that judges a claim to be true or false is always limited in functionality, accuracy and understandability. Thus, an alternative suggestion is to collaborate a number of analysis tools in one platform which help human fact checkers and normal users produce better judging based on many aspects. A stance detection tool is a first stage of an online challenge that aims to detect fake news. The goal is to determine the relative perspective of a news article towards its title. In this paper, we tackle the challenge of stance detection by utilizing traditional machine learning algorithms along with problem specific feature engineering. Our results show that these models outperform the best outcomes of the participating solutions which mainly use deep learning models.