Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Rhythmic Auditory Cueing on Aging Gait: A Systematic Review and Meta-Analysis

Rhythmic auditory cueing has been widely used in gait rehabilitation over the past decade. The entrainment effect has been suggested to introduce neurophysiological changes, alleviate auditory-motor coupling and reduce cognitive-motor interferences. However, a consensus as to its influence over aging gait is still warranted. A systematic review and meta-analysis was carried out to analyze the effects of rhythmic auditory cueing on spatiotemporal gait parameters among healthy young and elderly participants. This systematic identification of published literature was performed according to PRISMA guidelines, from inception until May 2017, on online databases: Web of science, PEDro, EBSCO, MEDLINE, Cochrane, EMBASE, and PROQUEST. Studies were critically appraised using PEDro scale. Of 2789 records, 34 studies, involving 854 (499 young/355 elderly) participants met our inclusion criteria. The meta-analysis revealed enhancements in spatiotemporal parameters of gait i.e. gait velocity (Hedge’s g: 0.85), stride length (0.61), and cadence (1.1), amongst both age groups. This review, for the first time, evaluates the effects of auditory entrainment on aging gait and discusses its implications under higher and lower information processing constraints. Clinical implications are discussed with respect to applications of auditory entrainment in rehabilitation settings.
Learning to Remember, Forget and Ignore using Attention Control in Memory

Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans. Applying knowledge gained from psychological studies, we designed a new model called Differentiable Working Memory (DWM) in order to specifically emulate human working memory. As it shows the same functional characteristics as working memory, it robustly learns psychology inspired tasks and converges faster than comparable state-of-the-art models. Moreover, the DWM model successfully generalizes to sequences two orders of magnitude longer than the ones used in training. Our in-depth analysis shows that the behavior of DWM is interpretable and that it learns to have fine control over memory, allowing it to retain, ignore or forget information based on its relevance.
Partial Discharge Characteristics During Electrical Tree Growth in LDPE

Partial discharge (PD) measurements were performed during an electrical treeing process in a classical needle-plane low density polyethylene sample under AC voltage. This treeing process features an evolution from the propagation of a non-conducting electrical tree to the generation of a conducting electrical tree. PD characteristics are discussed with regard to different treeing stages during the process. It is found that changes in PD characteristics occur before transitions in the visual aspect of treeing development. In particular, statistical parameters obtained from measurements reveal a polarity dependence in PD patterns in the AC cycle. In general, during non-conducting tree growth, positive and negative discharges are not symmetric in magnitude or phase of occurrence. Positive discharge patterns are more stable in time than negative discharge patterns. The discharge frequency and magnitude seems to have an inverse relationship for negative discharges. Negative PD patterns were found to change during periods of fast tree growth. This was not the case for positive PD patterns.
Bone marrow-stimulating techniques in arthroscopic rotator cuff repair: a systematic review protocol

Introduction Bone marrow-stimulating (BMS) techniques during arthroscopic rotator cuff repair surgery theoretically enhance the biological component for healing and hence improve tendon healing, but their efficacy remains unproven. The purpose of this review is to determine the effects and associated harms of BMS in arthroscopic rotator cuff repair surgery. Methods and analysis We will perform a systematic review and meta-analysis of randomised-controlled trials (RCTs) and retrospective cohort studies (RCS) that compare outcomes following BMS use against no use of BMS during arthroscopic rotator cuff repair surgery. We will search the databases including the Cochrane Central Register of Controlled Trials, Medline and Embase, and clinical trial registries for relevant studies. We will include studies published from start of indexing until 23 August 2018. Two reviewers will independently assess the eligibility for studies. For each included trial, we will conduct duplicate independent data extraction and risk of bias assessment. We will use the Cochrane Collaboration tool to assess the risk of bias of included RCTs, while we will use the Risk Of Bias In Non-randomised Studies - of Interventions tool to evaluate the risk of bias of RCS. We will perform a random-effects meta-analysis in calculating the pooled risk estimates when appropriate. We will assess the overall quality of the data for each individual outcome using the Grading of Recommendations, Assessments, Development and Evaluation approach. The primary outcomes are tendon healing rate, overall pain and shoulder functions. The secondary outcomes are the proportion of participants with adverse events related to interventions, the range of motion and the proportion of participants with return to previous activities. Ethics and dissemination We will report this review according to the guidance of the PRISMA statement. The results of this review will be disseminated through conference presentations and publications in peer-reviewed journals. PROSPERO registration number CRD42018087161.
Prominent Changes in Cerebro-Cerebellar Functional Connectivity During Continuous Cognitive Processing

While task-dependent responses of specific brain areas during cognitive tasks are well established, much less is known about the changes occurring in resting state networks (RSNs) in relation to continuous cognitive processing. In particular, the functional involvement of cerebro-cerebellar loops connecting the posterior cerebellum to associative cortices, remains unclear. In this study, 22 healthy volunteers underwent a multi-session functional magnetic resonance imaging (fMRI) protocol composed of four consecutive 8-min resting state fMRI (rs-fMRI) scans. After a first control scan, participants listened to a narrated story for the entire duration of the second rs-fMRI scan; two further rs-fMRI scans followed the end of story listening. The story plot was purposely designed to stimulate specific cognitive processes that are known to involve the cerebro-cerebellar loops. Almost all of the identified 15 RSNs showed changes in functional connectivity (FC) during and for several minutes after the story. The FC changes mainly occurred in the frontal and prefrontal cortices and in the posterior cerebellum, especially in Crus I-II and lobule VI. The FC changes occurred in cerebellar clusters belonging to different RSNs, including the cerebellar network (CBLN), sensory networks (lateral visual network, LVN; medial visual network, MVN) and cognitive networks (default mode network, DMN; executive control network, ECN; right and left ventral attention networks, RVAN and LVAN; salience network, SN; language network, LN; and working memory network, WMN). Interestingly, a k-means analysis of FC changes revealed clustering of FCN, ECN, and WMN, which are all involved in working memory functions, CBLN, DMN, and SN, which play a key-role in attention switching, and RSNs involved in visual imagery. These results show that the cerebellum is deeply entrained in well-structured network clusters, which reflect multiple aspects of cognitive processing, during and beyond the conclusion of auditory stimulation.
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Despite advances in scalable models, the inference tools used for Gaussian processes (GPs) have yet to fully capitalize on developments in computing hardware. We present an efficient and general approach to GP inference based on Blackbox Matrix-Matrix multiplication (BBMM). BBMM inference uses a modified batched version of the conjugate gradients algorithm to derive all terms for training and inference in a single call. BBMM reduces the asymptotic complexity of exact GP inference from $O(n^3)$ to $O(n^2)$. Adapting this algorithm to scalable approximations and complex GP models simply requires a routine for efficient matrix-matrix multiplication with the kernel and its derivative. In addition, BBMM uses a specialized preconditioner to substantially speed up convergence. In experiments we show that BBMM effectively uses GPU hardware to dramatically accelerate both exact GP inference and scalable approximations. Additionally, we provide GPyTorch, a software platform for scalable GP inference via BBMM, built on PyTorch.
Herpes Zoster Vaccination: An Urgent Priority.

tissue was well within the UT-DSAEK range, an excellent substitute for NT tissue. Conversely, the alternative for failed DMEK preparation typically involves using another donor cornea. As the tissue loss rate will likely decrease with experience and nearly all tissue can be used (NT or UT), we believe that attempting NT-DSAEK is reasonable even in developing countries. In terms of the reproducibility of performing the DSAEK procedure with NT tissue, the tissue behaves much like UT-DSAEK. Transition to NT-DSAEK for corneal surgeons familiar with UTDSAEK techniques (ie, EndoSerter, Busin glide) should be relatively seamless compared with transitioning to DMEK. Sahay et al referenced our single graft detachment in the NT-DSAEK group (compared with no complications in the DMEK group) as a possible indication that the DMEK surgeon was more experienced.4 We acknowledge that our NT-DSAEK and DMEK surgeries were performed by 2 different surgeons because we sought surgeons experienced with each technique to compare the best visual results head to head. Each respective surgeon was using his preferred endothelial keratoplasty technique. For the NTDSAEK surgeon, tissue manipulation and insertion technique (EndoSerter) did not differ from that of UT-DSAEK tissue. In addition, this surgeon had previously been using tissue in the 50 to 70 mm range for some time when tissue #50 mm was introduced. With a larger sample size, there would likely have been a necessary rebubble in the DMEK cohort because there is likely a similar graft detachment rate with the 2 techniques. Because of the small sample size of our study and overall short follow-up, it is difficult to determine an accurate long-term graft rejection rate. We would hypothesize that both types of tissue would have very low rates of graft rejection. We certainly agree with Sahay et al regarding the need for further clinical testing to determine differences between NT-DSAEK and DMEK outcomes. Although we do not have visual quality outcomes (eg, contrast, glare, and higher order aberrations) at this time, we are currently studying some of these outcomes. We still believe that DMEK has advantages over DSAEK, especially regarding visual recovery. The main reason to pursue NT-DSAEK is to optimize visual results with thinner tissue while affording the same comfort and predictability as conventional DSAEK.
A model for system developers to measure the privacy risk of data

In this paper, we propose a model that could be used by system developers to measure the privacy risk perceived by users when they disclose data into software systems. We first derive a model to measure the perceived privacy risk based on existing knowledge and then we test our model through a survey with 151 participants. Our findings revealed that users' perceived privacy risk monotonically increases with data sensitivity and visibility, and monotonically decreases with data relevance to the application. Furthermore, how visible data is in an application by default when the user discloses data had the highest impact on the perceived privacy risk. This model would enable developers to measure the users' perceived privacy risk associated with data items, which would help them to understand how to treat different data within a system design.
Predictors of virological failure in HIV‐1‐infected patients switching to dolutegravir maintenance monotherapy

The Dolutegravir Monotherapy for HIV (DOMONO; NCT02401828) study showed that maintenance monotherapy with dolutegravir (DTG) is associated with virological failure (VF) and leads to DTG resistance and as a result should not be used. However, data on clinical and virological factors associated with VF during DTG monotherapy are lacking. We identified factors associated with VF during DTG monotherapy.
Energy Storage Systems for Commitment and Dispatch of Conventional Power Plants

This paper presents the implementation of the energy storage for unit commitment and dispatch of conventional power plants. The optimization employs Mixed Integer Linear Programming. The simulations with different scenarios have been carried out to demonstrate the effectiveness of the approach applied. The results obtained indicated that start-up energy of conventional power plants may impose the specific operation of energy storage systems. Cost benefits of energy storage implementation are also demonstrated.
A New Evaluation Criterion with the Integration of Perplexity and Jensen-Shannon Divergence for Biterm Topic Model

P97, as a classical evaluation method for topic model, is good at predicting new documents. However, this method is not effective for Biterm Topic Model (BTM), especially short terms of web videos might leading to much more themes. In order to solve above problem, a new evaluation criterion is proposed with the integration of perplexity and Jensen-Shannon (JS) divergence. JS divergence focuses on differences and stability among themes for BTM model. Therefore, it can make up the deficiency of perplexity. The experiment demonstrates that our proposed method is more effective than several existing methods with a significant improvement.
Selective Interharmonic Compensation to Improve Statcom Performance for Light Flicker Mitigation

Selective interharmonic compensation is introduced to improve Statcom performance for Light Flicker (LF) mitigation. The approach proposed modifies classical control algorithms based on the Park transform typically adopted for Statcom control. The improvement is obtained by introducing a selective interharmonic filter into the classical control scheme. This makes it possible to compensate only the interharmonics in a proper band around the fundamental frequency that mainly affects LF. The relevant effect is a reduction of the compensation power needed to obtain mitigations of LF emissions from the source to be compensated (e.g., arc furnaces) to levels compatible with standards. This makes it possible to reduce the Statcom sizing in the design stage or optimize the performances of existing Statcoms just by upgrading their control algorithms. Numerical and experimental case-studies confirmed the usefulness of the proposed LF mitigation strategy and provided a quantitative idea of the obtainable benefits.
Cocktail BPSK: Cross Power Utilization for High Data Rates

This paper proposes a novel transmission strategy, referred to as cocktail BPSK, where two independent BPSK symbols are layered with various weights to be transmitted and, capitalizing on the cross power utilization, will be demodulated at the receiver without interference from each other. To evaluate the performance of the proposed scheme, its achievable data rate is formulated over additive white Gaussian noise (AWGN) channels. Based on the theoretical analysis, numerical results are provided for the performance comparisons between the proposed scheme and conventional transmission schemes, which substantiate the validity of the proposed scheme. Specifically, when the signal-to-noise power ratio (SNR) is small, the achievable data rate of the proposed scheme outperforms the channel capacity achieved by Gaussian-distributed inputs.
Impact of Cancer Cachexia on Hospitalization-associated Physical Inactivity in Elderly Patients with Advanced Non-small-cell Lung Cancer

Objective: New or worsening disability can develop in elderly patients in just 1 week of hospitalization for acute illness. Elderly patients with cancer, particularly those with cancer cachexia, are vulnerable to disability. This study aimed to explore the impact of hospitalization and cachexia on physical activity (PA) in elderly patients during chemotherapy. Methods: We prospectively enrolled 18 patients aged ≥70 years with newly-diagnosed, advanced non-small-cell lung cancer scheduled to initiate first-line chemotherapy. PA was measured using an accelerometer (Lifecorder®, Suzuken Co., Ltd., Japan). Mean daily steps at baseline, during hospitalization, and subsequent weeks (1st, 2nd, and 3rd week after discharge) were compared. Results: A total of 30 hospitalizations for chemotherapy were evaluated in 18 patients with a median age of 74.5 years. The median number of baseline daily steps was 3756. Fifteen cases (50%) showed fewer daily steps during hospitalization and no recovery to baseline level during the 1st week after discharge. Long hospitalizations (≥8 days) and the presence of cachexia were associated with persistent physical inactivity. One patient developed disability within 30 days after hospitalization. Conclusions: Physical inactivity was frequently seen after hospitalization for chemotherapy in elderly patients with advanced lung cancer. Longer in-hospital days and the presence of cancer cachexia caused slow recovery from physical inactivity. Individualized hospitalization planning based on careful consideration of patient age and the presence of cancer cachexia may be needed to prevent physical inactivity and disability.
Analysis of Channel Access Delay for Unlicensed LTE Systems

D295 long term evolution (LTE) in unlicensed spectrum is a promising method to cope with the radically increasing requirement of data traffic. However, whether the unlicensed LTE (LTE-U) can provide transmissions comparatively at higher data rates depends on its channel access delay characteristic. In this paper, we focus on the LTE-U system's channel access delay distribution to study the potential for it to run and support the delay-sensitive traffic. We first develop a unified analytical model to analyze the coexistence of LTE-U system and Wi-Fi system, and then derive the close-form expression of the channel access delay under the condition of LTE-U system coexistence with Wi-Fi system. By Lattice-Poisson inversion algorithm we obtain the numerical results of the distribution of LTE-U's channel access delay and the analytical results match the simulated results demonstrating the accurate prediction of the distribution of channel access delay for LTE-U system by the proposed analytical model.
The game-theoretic model and experimental investigation of cyber wargaming

We demonstrate that game-theoretic calculations serve as a useful tool for assisting cyber wargaming teams in identifying effective strategies. We note a significant similarity between formulating cyber wargaming strategies and the methodology known in the military practice as Course of Action (COA) generation. For scenarios in which the attacker must penetrate multiple layers in a defense-in-depth security configuration, an accounting of attacker and defender costs and penetration probabilities provides cost–utility payoff matrices and penetration probability matrices. These can be used as decision tools by both the defender and attacker. Inspection of the matrices allows players to deduce preferred strategies (COAs) based on game-theoretical equilibrium solutions. The matrices also help in analyzing the anticipated effects of potential human-based choices of wargame strategies and counter-strategies. We describe a mathematical game-theoretic formalism and offer detailed analysis of a cyber-physical table-top wargame executed at the US Army Research Laboratory. Our analysis shows how game-theoretical calculations can indeed provide a useful tool for effective decision-making during cyber wargames.
An on‐site preparable, novel bone‐grafting complex consisting of human platelet‐rich fibrin and porous particles made of a recombinant collagen‐like protein

Abstract Platelet‐rich fibrin (PRF) is widely used in regenerative medicine. Nonetheless, major issues include its controversial effects on bone regeneration and a lack of quality‐assured glass tubes required for coagulation. We used porous particles (FBG) comprising a recombinant RGD motif‐enriched collagen I‐like protein to activate the coagulation pathway and examined the effects of the resulting PRF–FBG complex on bone regeneration. Human whole‐blood samples were mixed with FBG in plastic tubes and centrifuged to prepare a PRF–FBG complex. Platelet‐derived growth factor‐BB (PDGF‐BB) levels and cell growth activity were determined by ELISA and a bioassay using osteoblasts. Bone regenerative activity was assessed using a mouse model of calvarial bone defect. FBG facilitated PRF‐like matrix formation during centrifugation. In this PRF–FBG complex, the microstructure of fibrin fibers was similar to that of PRF prepared conventionally in glass tubes. PDGF‐BB levels and mitogenic action were not significantly influenced by FBG. In the bone defect model, although PRF did not exert any significant positive effects on its own, in combination with FBG, it synergistically stimulated new bone formation. This study demonstrated that incorporation of FBG into whole‐blood samples induces PRF formation without the aid of glass tubes. The resulting PRF–FBG complex could be a promising bone grafting material in clinical settings. © 2018 The Authors. Journal of Biomedical Materials Research Part B: Applied Biomaterials published by Wiley Periodicals, Inc. J Biomed Mater Res Part B: Appl Biomater 107B: 1420–1430, 2019.
Electrical Field Effects on Boiling Heat Transfer of Low Global Warming Potential Coolant

This paper presents an investigation of the influence of d.c. uniform electric field on boiling heat transfer characteristics of Fluorinated ketone (FK). One potential use of FK in high voltage plant is as the fluid within a thermosyphon, replacing conventional cooling that requires pumps and/or fans. The electric field's effect on the onset of boiling, nucleate boiling curve and critical heat transfer of FK was experimentally studied using a mesh-plane electrode arrangement. For this purpose, with the assistance of a steady state thermal finite element analysis (FEA) model, a novel grounded electrode with a ‘vacuum jacket’ and temperature sensor array was designed and manufactured. Moreover, detailed coolant boiling stages were observed and recorded via a high-speed image system. textbfThe results show that d.c. field reduces the first boiling hysteresis on FK coolants i.e. nucleate boiling starts at a lower superheated temperature. The d.e. field also increases the effective heat transfer coefficient. The significance of these results is that there is an electrohydrodynamic enhancement of the key heat transfer properties of FK due to the presence of a d.c. field.