Miracle-dz/UniFAR-FTUs huggingface dataset:
Performance comparison of text-based sentiment analysis using recurrent neural network and convolutional neural network

One biggest challenge in sentiment analysis is that it should include Natural Language Processing (NLP), to make the machine understand the human language. With the current development of Artificial Neural Network (ANN), with its implementation, computer can learn to understand human language by such learning mechanism There are many types of ANN and for this research Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) were used and compared on their performance. The text data for the sentiment analysis was taken from Stanford publication and transformation from text to vectors were conducted using word2vec. The result shows that RNN is better than CNN. Even the difference of accuracy is not significant with 88.35% ± 0.07 for RNN and 87.11% ± 0.50 for CNN, the training time for RNN only need 8.256 seconds while CNN need 544.366 seconds.
The Effect of Tackler Technique on Head Injury Assessment Risk in Elite Rugby Union

PurposeThis study aimed to use match video evidence of tackles in elite-level rugby union to identify tackler proficiency characteristics, for both lower body and upper body tackles, that result in head injury assessments (HIA) for the tackler. MethodsA review of international rugby union matches (2013–2017) and Pro 12/European Rugby Champions Cup matches (2014–2017) from a professional rugby union club was conducted. HIA (n = 74) and non-HIA tackles (n = 233) were categorized as either front-on or side-on upper body or lower body tackles and were scored for tackling proficiency characteristics. A chi-square test (P < 0.05) and phi and Cramer’s V were calculated to compare HIA and non-HIA tackling proficiency characteristics. ResultsIn both front- and side-on upper body and lower body tackles, “head up and forward/face up” and “head placement on correct side of ball carrier” were identified as having a lower propensity to result in an HIA for the tackler. For both front-on and side-on upper body tackles, “identify/track ball carrier onto shoulder” and “shortening steps” were identified. In addition, “straight back, centre of gravity forward of support base” and “identify/track ball carrier onto shoulder” were identified for front-on and side-on lower body tackles, respectively. ConclusionsThis study identified tackle characteristics that had a lower propensity to result in an HIA for the tackler in both front-on and side-on upper body and lower body tackles.
Long-Term Metabolic Effects in French-Canadian Children and Adolescents Treated with Second-Generation Antipsychotics in Monotherapy or Polytherapy: A 24-Month Descriptive Retrospective Study

Objective: To compare weight and glucose changes of long-term second-generation antipsychotic (SGA) monotherapy versus polytherapy (switching or combining SGAs) in children and adolescents. Methods: This is a 24-month retrospective study conducted between November 2005 and June 2013. From 147 antipsychotic-naive patients selected (mean age, 12.8 years; 95% confidence interval [CI], 9.8-15.9), 116 (78.9%) received SGA monotherapy and 31 (21.1%) SGA polytherapy for up to 24 months. Height, weight, and fasting glucose (FG) were measured at baseline and 1, 3, 6, 12, and 24 months. Linear mixed-model analysis was used to compare weight, body mass index z score (BMI z score), and glucose changes between the 2 SGA treatment groups, with the repeated factor being the time relative to baseline at 1, 3, 6, 12, and 24 months. Results: Overall, after 24 months of SGA treatment, mean weight increased significantly by 12.8 kg (95% CI, 10.4-15.0), BMI z score by 0.44 (95% CI, 0.21-0.68), and FG levels by 0.29 mmol/L (95% CI, 0.11-0.47). Incidence of overweight/obesity was 22.6%, BMI z score increase over 0.5 was 9.4%, impaired fasting glucose was 9.4%, and type 2 diabetes mellitus was 3.1%. Regarding metabolic effects, no significant difference was found between the subjects taking a single SGA and those exposed to an SGA polytherapy. Conclusion: Our study confirms the significant increase of metabolic complications during 24 months of SGA treatment without excluding or confirming a difference between the 2 groups of treatment (mono vs. poly).
I Walk, Therefore I Am: Continuous User Authentication with Plantar Biometrics

The comprehensive evolution of information communication technologies on mobile sensing objects has led to the provision of versatile ubiquitous network services embedded with specific- purpose modern sensors and intelligent wearable devices. The universal Internet connectivity of such smart objects has brought about a new era of ubiquitous application development for the Internet of Things. Meanwhile, security has become critically important. In the past decade, academia and industry have dedicated great efforts to the design of continuous authentication for multi-modal networks. Multiform authentication bio-tokens have been introduced for continuous entity identification and verification. With the rapid growth and universality of wearable devices, in this article we target continuous authentication for the IoT-based environment with users possessing wearable healthcare (and wellness) related smart objects. To present the state of the art, we provide a comprehensive review of continuous authentication in recent years. Critical characteristics of new biometrics are then introduced. Second, we present a wearable plantar bio-feature extractor constructed via commercial pressure sensors and the Raspberry PI platform. The prototype is adopted to retrieve user plantar bio-data as the raw (and training) data in the proposed authentication system. Third, we apply machinelearning- based techniques to derive a user's plantar bio-features as authentication tokens in the system to support continual (and real-time) entity verification in the background without the user's notice.
A Novel Approach for Job Scheduling Optimizations Under Power Cap for ARM and Intel HPC Systems

The ever-increasing energy demands of modern High Performance Computing (HPC) platforms is undeniably one of the most critical aspects for the future design and evolution of such systems. The capability of managing their energy consumption not only allows for significant reduction in electricity costs but is also a step forward on the road towards the exascale. Powercapping is a widely studied technique that contributes to address this challenge by instantaneously setting and maintaining a predefined power threshold (power cap) that cannot be exceeded. However, the lack of a centralized mechanism responsible for efficiently allocating the available power among resources and jobs may ultimately yield to fragmentation, low system utilization and increased user waiting times. Additionally, power cap violations can lead to high risk scenarios and/or increase operational costs. This paper proposes to prevent such issues with the introduction of the Enhanced Power Adaptive Scheduling (E-PAS) algorithm. The E-PAS algorithm combines scheduling and resource management mechanisms, correlating estimated and real power consumption data in order to optimize the resource utilization of the platform under a predefined power cap. The algorithm has been implemented in the widely used open-source resource and job management system SLURM and is planned to be pushed in a future mainstream version. Its effectiveness has been evaluated through real-scale experiments respectively on an ARM- and an Intel-based cluster of comparable size. All experiments have been performed using synthetic workloads from a set of mini-applications.
Non-Stick and Scratch Resistant Sol-Gel Coating for Aluminum

PTFE-based coatings have been widely used, for example, on aluminum molds for molding of polyolefin packaging materials for its non-stick property. However, these coatings do not meet the users' scratch resistance and durability requirements. This paper describes a preliminary study on the synthesis and characterization of a PTFE/sol-gel composite coating material which combines the required non-stick and low friction properties of PTFE filler with the high scratch resistance and durability of a silica-based sol-gel matrix. The non-stick and low friction properties were achieved by using both the PTFE filler and the lubricious compound resulting from the reaction of a solvent with siloxane. The high scratch resistance was attributed to the enhanced adhesion to the electro-chemically pre-treated surface and the optimized silica and alumina filler contents in the sol-gel material. FE-SEM/EDX, FTIR, contact angle goniometry, scratch testing and a pin-on-disc tribometry were used to evaluate the coating properties.
Adaptive face space models with dynamic neural priors and sparse coding

Visual adaptation leads to certain changes in the perceived identity of a face depending on the previous faces an observer has been exposed to. The explicit effect of adaptation on face perception is not well understood. This work presents, for what is believed to be the first time, a mathematical model to capture the effect of adaptation on face identity perception. Our model is grounded in three assumptions that are consistent with recent neurobiological findings: (1) adaptation has the highest effect on the neural activities generated at the lowest levels of visual cortex; (2) neural activities in low-level visual areas are representatives of extracted features from a stimulus face, and as a result, encoding the stimulus face in the face space is affected by the adaptation process; and (3) a stimulus face is represented by a small number of simultaneously active neurons out of a large population (sparse coding). The rate of target identification with or without adaptation obtained by the proposed computational model resembles psyhometric functions obtained in prior studies using real subjects.
Endophytic fungi harbored in the root of Sophora tonkinensis Gapnep: Diversity and biocontrol potential against phytopathogens

This work, for the first time, investigated the diversity of endophytic fungi harbored in the xylem and phloem of the root of Sophora tonkinensis Gapnep from three geographic localities with emphasis on the influence of the tissue type and geographic locality on endophytic fungal communities and their potential as biocontrol agents against phytopathogens of Panax notoginseng. A total of 655 fungal strains representing 47 taxa were isolated. Forty‐two taxa (89.4%) were identified but not five taxa (10.6%) according to morphology and molecular phylogenetics. Out of identifiable taxa, the majority of endophyte taxa were Ascomycota (76.6%), followed by Basidiomycota (8.5%) and Zygomycota (4.3%). The alpha‐diversity indices indicated that the species diversity of endophytic fungal community harbored in the root of S. tonkinensis was very high. The colonization and species diversity of endophytic fungal communities were significantly influenced by the geographic locality but not tissue type. The geographic locality and tissue type had great effects on the species composition of endophytic fungal communities. Forty‐seven respective strains were challenged by three fungal phytopathogens of P. notoginseng and six strains exhibited significant inhibitory activity. It was noteworthy that endophytic Rhexocercosporidium sp. and F. solani strongly inhibited pathogenic F. solani and other fungal phytopathogens of P. notoginseng.
GraphH: High Performance Big Graph Analytics in Small Clusters

It is common for real-world applications to analyze big graphs using distributed graph processing systems. Popular in-memory systems require an enormous amount of resources to handle big graphs. While several out-of-core approaches have been proposed for processing big graphs on disk, the high disk I/O overhead could significantly reduce performance. In this paper, we propose GraphH to enable high-performance big graph analytics in small clusters. Specifically, we design a two-stage graph partition scheme to evenly divide the input graph into partitions, and propose a GAB (Gather-Apply-Broadcast) computation model to make each worker process a partition in memory at a time. We use an edge cache mechanism to reduce the disk I/O overhead, and design a hybrid strategy to improve the communication performance. GraphH can efficiently process big graphs in small clusters or even a single commodity server. Extensive evaluations have shown that GraphH could be up to 7.8x faster compared to popular in-memory systems, such as Pregel+ and PowerGraph when processing generic graphs, and more than 100x faster than recently proposed out-of-core systems, such as GraphD and Chaos when processing big graphs.
Dexmedetomidine-based monitored conscious sedation combined local anesthesia for levator resection in a 10-year-old child with Marcus Gunn jaw-winking synkinesis

Rationale: Levator resection has become a routine procedure for patients with severe Marcus Gunn jaw-winking synkinesis (MGJWS). To optimize the surgical outcome, adult patients need to be kept awake, or easily aroused and responsive to verbal commands during the operation. However, levator resection is commonly performed under general anesthesia in pediatric patients. In the present case, we described a successful anesthetic protocol of conscious sedation with local anesthesia for levator resection in a child. Patient concerns: A 10-year-old boy with MGJWS was admitted to our hospital and scheduled for levator resection. The patient was born through a normal delivery and had no previous history of allergy, no comorbidity, and no history of receiving anesthesia or operation. The laboratory tests of the patient were unremarkable. Diagnoses: The diagnosis of MGJWS was made by two experienced ophthalmologists. Interventions: A 10-year-old boy with MGJWS was admitted to our hospital and scheduled for levator resection. The levator resection was performed under monitored conscious sedation with dexmedetomidine and local anesthesia. Outcomes: Patient with spontaneous breathing responded normally to verbal commands throughout the operation, and no adverse events occurred. The patient and ophthalmologist reported high satisfaction with anesthesia management. Lessons: Dexmedetomidine-based monitored conscious sedation with local anesthesia is a feasible alternative to general anesthesia for levator resection in collaborative patients.
Macrotexture influence on vibrational mechanisms of the tyre–road noise of an asphalt rubber pavement

The road surface is one of the most important factors that have influence on the current traffic noise. Usually, for dense surfaces, impacts of the tyre on the pavement generate vibrations which are the dominant mechanisms in the tyre–road noise. In this study, the effect of muffling these vibrations, by the incorporation of crumb rubber (CR) from wasted tyres into asphalt pavements, has been evaluated acoustically. Close proximity measurements have been carried out to register the sound emission generated in the contact zone between a reference tyre and an experimental asphalt pavement with CR. The analysis of the measurements indicates that the incorporation of CR as well as the air voids content has less influence than the macrotexture of the road surface on the acoustical behaviour of this experimental asphalt pavement.
Decentralized event-triggered sliding mode control

In this paper, we discuss event-triggering scheme with sliding mode control where sensors are distributed over network. Here, a decentralized event-triggering mechanism is proposed where event is observed at each sensor nodes with local information for possible triggering and control update is done whenever a centralized event is triggered. In order to achieve this, the states are sampled at any one of the local triggering instant and then a centralized triggering condition is evaluated for possible control update. The utility of the scheme is analysed through a numerical simulation.
Multiresonator-based chipless RFID system for low-cost application

The major target of chipless RFID tags for telecommunication systems is to achieve low cost, high density, high capacity and minimization. In order to achieve a compact chipless RFID tag with scalable coding capacity, we adopt multi-resonators which can be equivalent to a serious or a parallel of LC resonator circuit to form different data bits. One 8-bit chipless RFID tag with bending arm structure is presented. The tag encodes data bits using different length of bending arms which are arranged on one side of a 50 Ω transmission line, and the bending structure can effectively reduce the coupling between units. The 8-bit chipless RFID tag with dimensions of 49 mm × 12mm is designed with a frequency band from 4.90 GHz to 5.60 GHz. Each bending arm structure represents a logic state ‘1’ when interrogated with an incident wave. The logic state will be changed to ‘0’ when the bending arm structure is removed. An 8-bit chipless RFID tag is composed with eight different bending arm resonators, which is distributed two sides of the main transmission line, with dimensions of 26mm × 17.7 mm in a frequency band from 5.00 GHz to 5.70 GHz. The size of the two-sides distribution tag relative to the one-side distribution tag is reduced by 24.7%. There are two critical factors in achieving small size. One is due to the bending arm structure which decreases the dimension of a single unit. The other critical factor for minimization is that the unit is arranged on the both sides of the main transmission line.
Energy-Efficient Resource Allocation for mmWave Massive MIMO HetNets With Wireless Backhaul

In this paper, we investigate the energy-efficient resource allocation in two-tier massive multiple-input multiple-output (mMIMO) heterogeneous networks with wireless backhaul. Millimeter wave frequency is adopted at the mMIMO macro base station (MBS), and the cellular frequency is considered at small cell BS with orthogonal frequency-division multiple access. To lower the hardware cost and energy consumption at the MBS, two hybrid analog/digital precoding schemes are proposed according to the connectivity, i.e., fully connected and subarray structures. In order to design the small cell cluster-based power and subchannel allocation, we aim to maximize the energy efficiency of the system with limited wireless backhaul and users’ quality of service constraints. The formulated problem is non-convex mixed integer nonlinear fraction programming, which is non-trivial to solve directly. By exploiting fractional programming, we propose a two-loop iterative resource allocation algorithm to solve the nonconvex problem. Specifically, integer relaxation and a Dinkelback method are considered to transform the outer loop problem into a difference of convex programming (DCP). Following this, the first-order Taylor approximation is considered to linearize this inner loop DCP problem into a convex optimization framework. Lagrange dual problem is considered to obtain the closed-form power allocation. Furthermore, we prove the convergence of the proposed iterative algorithm. Numerical results are provided to validate our proposed schemes.
Potentials for high pressure/environmental SEM microscopy for photomask dimensional metrology

Binary and phase-shifting chromium on quartz optical photomasks have been successfully investigated with high-pressure/environmental scanning electron microscopy. The successful application of this methodology to semiconductor photomask metrology is new because of the recent availability of a high-pressure SEM instrumentation equipped with high-resolution, high-signal, field emission technology in conjunction with large chamber and sample transfer capabilities. The high-pressure SEM methodology employs a gaseous environment to help diminish the charge build-up that occurs under irradiation with the electron beam. Although very desirable for the charge reduction, this methodology has not been employed much in photomask or wafer metrology until now. This is a new application of this technology to this area, and it shows great promise in the inspection, imaging and metrology of photomasks in a charge-free operational mode. This methodology also holds the potential of similar implications for wafer metrology. For accurate metrology, high-pressure SEM methodology also affords a path that minimizes, if not eliminates, the need for charge modeling. This paper presents some new results in high-pressure SEM metrology of photomasks.
Spot and set: Controlling lighting patterns of LEDs through a smartphone

People enjoy various social events, and illumination plays an important role in creating a good atmosphere during these events. Usually, people illuminate trees and walls by laying cables with a bunch of LEDs. However, they do not have control over the lighting patterns; instead, they just select a preset pattern. In this paper, we propose a system to control the lighting patterns of LEDs. In our system, a user's smartphone works as a controller. The user holds his/her smartphone with a backside light over a light sensor that corresponds to a particular LED. Once one or more LEDs are selected, the user sets the desired lighting pattern. We consider that this approach extends a user's range of expression at little learning cost.
Feasibility of myeloablative allogeneic hematopoietic cell transplantation from unrelated donors for patients with relapsed or refractory multiple myeloma

Allogeneic hematopoietic cell transplantation (allo‐HCT) for patients with multiple myeloma (MM) is performed increasingly as salvage therapies, from unrelated donors and, to our surprise, in transplant number despite in the era of novel agents. While the major limitation in the use of allo‐HCT in patients with MM has been the high transplant‐related mortality (TRM), the early data on myeloablative allo‐HCT have proven its curative potential. The purpose of this retrospective case series was to analyze the feasibility of a myeloablative conditioning regimen, incorporating both of 140 mg/m of melphalan and 8 Gy of total body irradiation, followed by allo‐HCT from unrelated donors for patients with relapsed or refractory MM. We identified consecutive patients with relapsed or refractory MM who received first allo‐HCT from unrelated donors after the myeloablative conditioning regimen between April 2013 and July 2015 at the Japanese Red Cross Medical Center and conducted data extraction on the reference date of March 1, 2017. The standardized myeloablative conditioning regimen for myeloma patients receiving allo‐HCT in the institution was the Flu/Mel/TBI regimen. This regimen originally consisted of fractionated total body irradiation (TBI) at 2 Gy twice daily on days ‐9 to ‐8 (total dose, 8 Gy), fludarabine at 25 mg/m once daily on days ‐7 to ‐3 (total dose, 125 mg/m), and melphalan at 140 mg/m once daily on day ‐2. This study was conducted in accordance with the Declaration of Helsinki and was approved by the Institutional Review Board of the Japanese Red Cross Medical Center. Informed consent was obtained from all individual participants included in the study. Regimen‐related toxicity (RRT) was graded according to the Bearman criteria. Acute and chronic graft‐versus‐ host disease (GvHD) were graded as described. Responses, lines of therapy, and patient populations were defined as described. We used the Kaplan‐Meier estimates for the probabilities of progression‐ free survival (PFS) and overall survival (OS), and the cumulative incidence estimates for the occurrences of GvHD. All statistical analyses were performed with R software, version 3.2. 3. Eight patients were identified (Table 1). The median follow‐up among the survivors was 36.5 months (range, 19‐55 mo) after allo‐HCT. Two patients (patient nos 6 and 7) presented with translocation t(4;14) detected by FISH. Deletion of 17p was not involved any of the patients. The median age at allo‐HCT, the time from diagnosis of