Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality of life after coronary artery bypass graft surgery - results of cardiac rehabilitation programme

Accountability, involvement, empowerment of the patients and families/caregiver, as well as the incentive for health behaviors based on physical exercise and healthy living habits with the support of health professionals, are fundamental in meeting the demands of the current society. The main objective of this report is to describe the process of developing skills in rehabilitation nursing that was possible in the context of the final stage in which an intervention program in the area of cardiac rehabilitation was designed, implemented and evaluated. In this quantitative study with exploratory characteristics, it was used the collection of observable and quantifiable data, from patients submitted to coronary artery bypass grafting. During the study, the Kolmogorov–Smirnov test was applied—being verified the normal distribution—and Student t-test, which aimed at comparing outcomes at the beginning and end of the program. When 6-min walk test was applied, there was an optimization of functional capacity (P=0.05), can be proved by the fact that all the patients had statistically significant improvements in the time-walk relationship. Furthermore, the quality of life in those who participated in the program was moderate in the preoperative period with 53.09%, and at the end a significant improvement was observed with 75.02%. Cardiac rehabilitation is fundamental in the patient submitted to coronary artery bypass grafting, taking into account the educational, physical exercise, and quality of life dimensions. Given the prevalence of risk factors associated with cardiovascular disease, differentiated intervention in rehabilitation nursing becomes essential in the training of patients for self-care.
Practical Fully Secure Three-Party Computation via Sublinear Distributed Zero-Knowledge Proofs

Secure multiparty computation enables a set of parties to securely carry out a joint computation on their private inputs without revealing anything but the output. A particularly motivated setting is that of three parties with a single corruption (hereafter denoted 3PC). This 3PC setting is particularly appealing for two main reasons: (1) it admits more efficient MPC protocols than in other standard settings; (2) it allows in principle to achieve full security (and fairness). Highly efficient protocols exist within this setting with security against a semi-honest adversary; however, a significant gap remains between these and protocols with stronger security against a malicious adversary. In this paper, we narrow this gap within concretely efficient protocols. More explicitly, we have the following contributions: Concretely Efficient Malicious 3PC. We present an optimized 3PC protocol for arithmetic circuits over rings with (amortized) communication of 1 ring element per multiplication gate per party, matching the best semi-honest protocols. The protocol applies also to Boolean circuits, significantly improving over previous protocols even for small circuits. Our protocol builds on recent techniques of Boneh et al. (Crypto 2019) for sublinear zero-knowledge proofs on distributed data, together with an efficient semi-honest protocol based on replicated secret sharing (Araki et al., CCS 2016). We present a concrete analysis of communication and computation costs, including several optimizations. For example, for 40-bit statistical security, and Boolean circuit with a million (nonlinear) gates, the overhead on top of the semi-honest protocol can involve less than 0.5KB of communication for the entire circuit, while the computational overhead is dominated by roughly 30 multiplications per gate in the field F247. In addition, we implemented and benchmarked the protocol for varied circuit sizes. Full Security. We augment the 3PC protocol to further provide full security (with guaranteed output delivery) while maintaining amortized 1 ring element communication per party per multiplication gate, and with hardly any impact on concrete efficiency. This is contrasted with the best previous 3PC protocols from the literature, which allow a corrupt party to mount a denial-of-service attack without being detected.
Improving Spectrum Efficiency in D2D- Assisted Cognitive Radio Networks: Application of NOMA and Performance Analysis

In this paper, we investigate improved spectrum concern by employing non-orthogonal multiple access (NOMA) scheme in cognitive radio (CR) network to form CR-NOMA and to serve many destination users. In secondary network of our proposed system, device-to-device (D2D) strategy is designed to support further transmission for NOMA users under impacts from interference from the primary network. Outage performance gap exists among these NOMA users since different power allocation factors assigned to the destinations. Unlike existing NOMA schemes as considering power allocation factors, which are not optimal in terms of outage performance, our proposed paradigm exhibits optimal outage in scenario of D2D transmission. In particular, the outage probability is first derived and approximate outage performance can be further achieved. Simulation results confirm exactness of the analytical expressions and show advantages of the proposed CR-NOMA system in terms of outage performance and throughput.
Performance Analysis of Direct Sequence Spread Spectrum Aloha for LEO Satellite Based IoT Service

In this paper, we analyze the performance impact when the direct sequence spread spectrum aloha scheme in LEO satellite channel for global IoT service is applied. It is expected that satellite communication can play a significant role for mMTC item, the one of 5G representative service models in terms of service coverage extension. Moreover, the usability of hybrid satellite-terrestrial user terminal (or user equipment) with limited power emission capability can be considered in case of the scenario of direct connectivity to LEO satellite where terrestrial signal is not reached. In this paper, we applied the Ingenu-like waveform based on IEEE 802.15. 4k standard to LEO satellite channel which has been deployed in unlicensed ISM 2.4GHz and the main elements related with throughput performance are presented.
Reducing Consecutive Collisions in Sensing Based Semi Persistent Scheduling for Cellular-V2X

Cellular-vehicle to everything (Cellular-V2X) has been designed to support Long Term Evolution (LTE) communication standard, whereas direct short range communication (DSRC) is based on IEEE 802.11p. In this paper, we focus on cellular-V2X with Mode 4, where vehicles schedule their resources in a distributed way employing sensing based semi persistent scheduling (SPS) to avoid collision of cooperative awareness message (CAM). We analyze the effect of Mode 4 configuration and some parameters on the performance. We find that reselection counter is one of the key parameters that has an effect on consecutive collisions. Therefore, we propose a resource alternative selection (RAS) algorithm based on SPS, which reserves and allocates the multi-resources alternatively during the period of reselection counter. The simulation results show that the proposed RAS algorithm can significantly improve performance, which can not only increase message reception reliability (MRR) but also decrease consecutive message collisions.
Non-Orthogonal Multiple Access in Multi-UAV Networks

In this paper, the application of non-orthogonal multiple access (NOMA) aided multiple unmanned aerial vehicles (UAVs) wireless networks is investigated in the downlink scenario. A new multiple UAVs framework, user-centric strategy for providing emergency services in the rural area, is proposed by utilizing a stochastic geometry model. In order to provide practical insights for the proposed NOMA assisted UAV framework, an imperfect successive interference cancelation (ipSIC) scenario is taken into account. For the user-centric strategy, we derive new exact expressions for the coverage probability. The derived analytical results explicitly indicate that the ipSIC coefficient is a dominant component in terms of coverage probability.
Effects of Parkinson’s on employment, cost of care, and quality of life of people with condition and family caregivers in the UK: a systematic literature review

Background Parkinson’s is an incurable, neuro-degenerative condition with multiple symptoms substantially impacting on living conditions and quality of life (QoL) for people with Parkinson’s (PwP), most whom are older adults, and their families. The study aimed to undertake a literature review of studies conducted in the UK that quantify the direct or indirect impact of Parkinson’s on people with the condition, their families, and society in terms of out-of-pocket payments and financial consequences. Methods Literature was searched for Parkinson’s-related terms plus condition impact (eg, financial, employment, pension, housing, health care costs, and QoL) in the UK setting. The strategy probed several electronic databases with all retrieved papers screened for relevancy. The instruments used to measure patient-related outcomes were then examined for their relevancy in justifying the results. Results The initial search retrieved 2,143 papers of which 79 were shortlisted through title and abstract screening. A full-text reading indicated 38 papers met the inclusion and quality criteria. Summary data extracted from the articles on focus, design, sample size, and questionnaires/instruments used were presented in four themes: (a) QoL and wellbeing of PwP, (b) QoL and wellbeing of caregivers and family members, (c) employment and living conditions, and (d) direct and indirect health care and societal cost. Conclusion UK results substantiated global evidence regarding the deterioration of QoL of PwP as the condition progressed, utilizing numerous measures to demonstrate change. Many spouses and family accept care responsibilities, affecting their QoL and finances too. The review highlighted increased health care and privately borne costs with condition progression, although UK evidence was limited on societal costs of Parkinson’s in terms of loss of employment, reduced work hours, premature retirement of PwP and caregivers that directly affected their household budget.
Skeletal Class III malocclusion treatment using mandibular and maxillary skeletal anchorage and intermaxillary elastics: a case report

ABSTRACT Introduction: Skeletal Class III malocclusion is one of the most challenging malocclusions to treat. In around 40% of Class III patients, maxillary retrognathia is the main cause of the problem and in most patients, orthopedic/surgical treatments includes some type of maxillary protraction. Objective: The aim of this case report was to describe a treatment method for a patient with maxillary retrognathia and Class III skeletal discrepancy using mandibular and maxillary skeletal anchorage with intermaxillary elastics. Case report: A 13-year-old boy with maxillary retrognathia and mandibular prognathism was treated using bilateral miniplates. Two miniplates were inserted in the mandibular canine area and two other miniplates were placed in the infrazygomatic crests of the maxilla. Class III intermaxillary elastics were used between the miniplates. Results: After eight months of orthopedic therapy, ANB angle increased by 4.1 degrees and ideal overjet and overbite were achieved. Mandibular plane angle was increased by 2.1 degrees and the palatal plane was rotated counterclockwise by 4.8 degrees. Conclusion: This case showed that the skeletal anchorage treatment method may be a viable option for treating patients with Class III skeletal malocclusion.
Almost deterministic work stealing

With task parallel models, programmers can easily parallelize divide-and-conquer algorithms by using nested fork-join structures. Work stealing, which is a popular scheduling strategy for task parallel programs, can efficiently perform dynamic load balancing; however, it tends to damage data locality and does not scale well with memory-bound applications. This paper introduces Almost Deterministic Work Stealing (ADWS), which addresses the issue of data locality of traditional work stealing by making the scheduling almost deterministic. Specifically, ADWS consists of two parts: (i) deterministic task allocation, which deterministically distributes tasks to workers based on the amount of work for each task, and (ii) hierarchical localized work stealing, which dynamically compensates load imbalance in a locality-aware manner. Experimental results show that ADWS is up to nearly 6 times faster than a traditional work stealing scheduler with memory-bound applications, and that dynamic load balancing works well while maintaining good data locality.
Extracting Context of Math Formulae Contained inside Scientific Documents

A math formula present inside a scientific document is often preceded by its textual description, which is commonly referred to as the context of formula. Annotating context to the formula enriches its semantics, and consequently impacts the retrieval of mathematical contents from scientific documents. Also, with a considerable surety, a context can be assumed to be one of the Noun Phrases (NPs) of the sentence in which formula occurs. However, the presence of several different misleading NPs in the sentence necessitates extraction of an NP, which is more precise to the formula than the rest. Although a fair number of methods are developed for precise context extraction, it can be fascinating to prospect other competent techniques which can further their performances. To this end, this paper discusses implementation of an automated context extraction system, which follows certain heuristics in assigning weights to different candidate NPs, and tune those weights using a development set comprising annotated formulae. The implemented system significantly outperforms nearest noun and sentence–pattern based methods on the ground of F–score.
Boundary Negotiation for Patient-Provider Communication via WeChat in China

Patient-Provider Communication (PPC) is crucial to the quality and outcome of healthcare practices. With the development of Information and Communication Technologies (ICTs), ICT mediated PPC has become increasingly commonplace, and has been extensively studied. However, prior research has primarily focused on the institutional use of ICTs for PPC, with institutional support and regulation, while the personal use of ICTs for this purpose has been mostly under-explored. This paper presents a qualitative study of the use of WeChat, a general mobile social application, that has been personally appropriated for PPC in China. Sixteen patients and seven physicians, who had experience using WeChat for PPC, were recruited and interviewed to gain an understanding from both perspectives on how WeChat was utilized for the communication purposes between them. We found that the use of WeChat helped to strengthen the relationship between patients and providers, and provided a psychological reassurance that the structure of the current Chinese health system doesn't provide. Most importantly, we found that the use of WeChat was dependent on the negotiation and management of boundaries that address various concerns associated with the use of ICTs for PPC, such as workload and safety. In this paper, we will highlight the boundary negotiation practices and discuss implications based on the findings.
Ensemble-Based Learning in Indoor Localization: A Hybrid Approach

In this paper, we are concerned with indoor localization based on multiple-antenna channel measurements. Indoor localization is an active area of research due to its great importance in many applications. We propose a hybrid algorithm which combines the benefits of two techniques, namely signal processing and machine learning. We validate our algorithm based on real measurements acquired from two practical setups. Our approach shows a very promising performance in the IEEE CTW 2019 - Positioning Algorithm Competition where the algorithm achieves an accuracy within RMSE values below 10 cm. We further build a setup in another indoor environment, where the algorithm still proves a very good performance compared to state-of-the art techniques used in indoor localization tasks.
SCAN1-TDP1 trapping on mitochondrial DNA promotes mitochondrial dysfunction and mitophagy

Mitochondrial dysfunction promotes the etiology of neurodegenerative syndrome SCAN1. A homozygous mutation of human tyrosyl-DNA phosphodiesterase 1 (TDP1) causes the neurodegenerative syndrome, spinocerebellar ataxia with axonal neuropathy (SCAN1). TDP1 hydrolyzes the phosphodiester bond between DNA 3′-end and a tyrosyl moiety within trapped topoisomerase I (Top1)-DNA covalent complexes (Top1cc). TDP1 is critical for mitochondrial DNA (mtDNA) repair; however, the role of mitochondria remains largely unknown for the etiology of SCAN1. We demonstrate that mitochondria in cells expressing SCAN1-TDP1 (TDP1H493R) are selectively trapped on mtDNA in the regulatory non-coding region and promoter sequences. Trapped TDP1H493R-mtDNA complexes were markedly increased in the presence of the Top1 poison (mito-SN38) when targeted selectively into mitochondria in nanoparticles. TDP1H493R-trapping accumulates mtDNA damage and triggers Drp1-mediated mitochondrial fission, which blocks mitobiogenesis. TDP1H493R prompts PTEN-induced kinase 1–dependent mitophagy to eliminate dysfunctional mitochondria. SCAN1-TDP1 in mitochondria creates a pathological state that allows neurons to turn on mitophagy to rescue fit mitochondria as a mechanism of survival.
Hyperparameter Study of Machine Learning Solutions for the Edge Server Deployment Problem

Edge Cloud Computing is a key technology for enhancing mobile functionalities and real-time applications in devices with limited resources. This is done by sharing the resources of edge servers and offloading jobs to the edge cloud. In order to ensure a high-quality service and more efficient usage of resources, it is important not only to correctly configure the edge servers but also to carefully select where to deploy them. However, in Edge Cloud Computing there is a high amount of servers and, with the advent of 5G and Internet of Things, there will be a massive number of client devices as well. This would make the edge server deployment too complex to solve through convex techniques. In this situation, Machine Learning is the most appropriate approach. In this paper, we provide a deep analysis of the usage of k-Means Clustering and Particle Swarm Optimization in the edge cloud deployment problem. Our results show that the hyperparameters for these algorithms can significantly impact their running time as well as the efficiency of their results. Finally, we also provide how to best configure these algorithms for this specific problem.
Healthcare Information Management Systems Concentration Curriculum Choices: Evaluating the CIO Perspective

The need for rigorous and relevant education in healthcare information management systems (HIMS) has been well documented. HIMS curriculum planners must continually assess the needs of the industry to ensure that HIMS programs are current and applicable. Additionally, HIMS concentration programs, designed to augment health administration, management, and allied health curriculum, must offer only the most important HIMS knowledge areas due to the limited number of courses that can be included in this format. Therefore, HIMS program planners must continually assess employer perceptions regarding program content importance and relevance. A survey was conducted to determine the HIMS knowledge areas that are deemed most important by healthcare CIOs. The results of this study were then compared to a similar study conducted in 1998 to determine if there have been any significant changes in CIO perception regarding HIMS knowledge area importance.
Running economy - a comprehensive review for passive force generation

Running economy is considered a major determinant of distance running performance. Enhancing the body’s ability for passive force generation could have a positive effect on running economy by minimizing the energy cost required for the propulsion of the body. Thus, the purpose of this comprehensive review was to provide a list of modifiable factors that promote this ability. The interest was focused on lower-limb stiffness, as it is a factor of great influence and at the same time can be modified with training and specific biomechanical adjustments. Although it appears that no clear instructions can be provided to athletes and coaches, it should be noted that careful consideration of the runners’ anthropometric, physiological, and biomechanical characteristics are necessary for optimal performance results.
Enhancement of User Perceived Throughput in Sub-6 GHz Integrated Access and Backhaul with Dynamic Full-Duplex

Currently, the IAB (Integrated Access and Backhaul) system that offers effective relaying architecture between Donor and UEs (User Equipments) via Node has been discussed in 3GPP for various use cases including mobile relaying scenarios. For applying the IAB system to mobile systems, sub-6 GHz band is used for BL (Backhaul Link) to support wide coverage, and it is preferred to use the same frequency for both BL and AL (Access Link) due to the serious spectrum resource shortage below 6 GHz. However, since the frequency resource is divided into four links by the combination of BL/AL and UL/DL (Uplink/Downlink), system capacity of the sub-6GHz IAB system will be degraded. In this paper, we propose DDC (Dynamic full- Duplex Cellular)-IAB that applies IBFD (In-band Full-duplex) to the sub-6 GHz IAB system to enhance the system capacity. With the system level simulation in a multi-cell environment, the proposed DDC-IAB system improves UL UPT (User Perceived Throughput) between UE and Node and between UE and Donor by 90.2 % and 34.9 %, respectively, and also improves DL UPT between Donor and UE by 39.6 % compared to HD (Half-duplex)-IAB system.
Crystal structure of benzyl N′-[(1E,4E)-1,5-bis(4-methoxyphenyl)penta-1,4-dien-3-ylidene]hydrazine-1-carbodithioate

The title compound comprises four crystallographically different molecules that are composed of a 1,5-bis(4-methoxyphenyl)penta-1,4-dien-3-ylidenyl group and a benzyl ring connected by a hydrazine-1-carbodithioate bridge. In the crystal, molecules are connected into a three-dimensional network through C—H⋯O, N—H⋯S and C—H⋯π interactions.
Bent Routing Pattern for FPGA

Routing architecture design is crucial in the early exploration of FPGA fabrics. In the modern unidirectional routing architectures, the signal passes through a programmable switch while turning into the channel perpendicular to the current one at the intersections, which may lead to excessive turning switches in the routing paths and cause the high latency. Most of the researches focus on the routing topology where the wire segments span in either vertical or horizontal direction. In this paper, we propose the bent routing pattern, where the bent wire segments can span in both vertical and horizontal channels without passing through any turning switch. The bent routing topology is designed to keep the regularity and symmetry, and then evaluated by the enhanced VTR. To optimize the architecture with the bent routing pattern, we develop a stochastic searching method based on the simulated annealing algorithm. The results show that the architecture with the mixture of bent wires and straight wires can achieve 9% shorter critical path delay and 11% area-delay product savings on average compared to the architecture with only straight wires.