Miracle-dz/UniFAR-FTUs huggingface dataset:
A Hybrid User Experience Evaluation Method for Mobile Games

With the development of the mobile phone industry, mobile applications market becomes thriving. However, the immature information technology and unfriendly interface bring negative user experience (UX) to the mobile users and thus affect the service life of mobile applications, especially for the most concerned entertaining applications, mobile games. As a result, the evaluating UX and finding crucial factors of UX become a challenge. Over the last decades, numerous researches have tried to deal with this issue, but none of them has clearly identified the relations among positive-negative UX, sufficient human characteristics and specific events of applications. This paper proposes a subjective-objective evaluation method. Subjective UX of mobile games is sufficiently obtained and objective UX is verified through the electrocardiogram signals and heart rate variability. In order to reveal distinct relations among UX factors, sufficient user characteristics and categories of game events, an improved RIPPER algorithm is proposed by this paper to obtain the relations. Experiments are performed with 300 testers who played mobile parkour games for at least five minutes. The accuracy and efficiency of the proposed method have been verified through real experiments and objective measures. In addition, this paper provides an effective sampling method and a data analysis algorithm to obtain crucial UX factors for mobile applications.
The Role of Nonidealities in the Scaling of MoS2 FETs

2-D material FETs hold the promise of excellent gate control, but the impact of nonidealities on their performance remains poorly understood. This is because of the need, so far, to use computationally intensive nonequilibrium Green’s function (NEGF) simulations. Here, we therefore use a semiclassical model to investigate the role of nonidealities in the scaling of back-gated (BG) and top-gated (TG) monolayer MoS<sub>2</sub> FETs. We verify the electrostatics and transport of the semiclassical model with density functional theory-based NEGF simulations and calibrate nonidealities, such as interface traps (<inline-formula> <tex-math notation="LaTeX">${D}_{\textsf {it}}$ </tex-math></inline-formula>) and Schottky contact barrier height (<inline-formula> <tex-math notation="LaTeX">$\phi _{\textsf {SB}}$ </tex-math></inline-formula>) to experimental monolayer and bilayer MoS<sub>2</sub> FETs. We find that among the nonidealities, <inline-formula> <tex-math notation="LaTeX">${D}_{\textsf {it}}$ </tex-math></inline-formula> has the strongest subthreshold swing impact with 70 mV/dec obtainable in BG devices for a <inline-formula> <tex-math notation="LaTeX">${D}_{\textsf {it}}$ </tex-math></inline-formula> of <inline-formula> <tex-math notation="LaTeX">$5\times {10}^{11}$ </tex-math></inline-formula> cm<sup>−2</sup>eV<inline-formula> <tex-math notation="LaTeX">$^{-1}$ </tex-math></inline-formula>, an equivalent oxide thickness (EOT) of 1 nm, and a channel length (<inline-formula> <tex-math notation="LaTeX">${L}_{\textsf {ch}}$ </tex-math></inline-formula>) of 5 nm. For scaled EOT, <inline-formula> <tex-math notation="LaTeX">$\phi _{\textsf {SB}}$ </tex-math></inline-formula> only strongly impacts <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}$ </tex-math></inline-formula> for the TG case, as the overlapping gate thins the Schottky barriers in the BG case. We show in TG devices that a spacer of only 5 nm results in a 1000-fold drop in <inline-formula> <tex-math notation="LaTeX">${I}_{ \mathrm{\scriptscriptstyle ON}}$ </tex-math></inline-formula> because of the nonidealities. We propose positive spacer oxide charge as a solution and show that a charge density of above 10<sup>13</sup> cm<sup>−2</sup> is required to fully recover the device performance.
A Three-Level Inverter Based Direct Torque Control Scheme With Reduced Common-Mode Voltage For Induction Motor Drive

A Direct Torque Control Scheme with reduced common mode voltage for an Induction Motor drive fed by a three-level inverter is proposed in this paper. This scheme serves to reduce the common-mode voltage, by optimally selecting voltage space vectors in such a way that the common-mode voltage magnitude is either $\displaystyle \frac {V_{DC}}{6}$ or 0 where VDC is the maximum magnitude of the realizable voltage space vector. To validate the proposed scheme extensive simulations are carried out on MATLAB-Simulink platform. The proposed DTC scheme is experimentally verified on an induction motor fed by a three-Ievel inverter using TMS320F28335 digital signal processor for control algorithm implementation.
Barriers to college success among students that experienced adverse childhood events

Abstract Objective: This study examines the relationship between adverse childhood experiences (ACEs) and academic barriers to college success. Participants: College students (n = 525) were surveyed about exposure to ACEs and academic barriers on a large university campus in the Southeast. Methods: Multivariate regression was used to model the academic barriers among college students for students with different levels of ACEs exposure controlling for depression, health and family barriers, and sociodemographic characteristics. Results: Students with ACEs reported more family difficulties and health problems compared with those without ACEs. Depressive symptomology, poorer health ratings, and other health and family issues significantly predicted higher counts of academic barriers. Conclusions: Students with ACEs face greater difficulty with relation to health and family barriers which in turn impacts academic barriers.
Genetic Alterations of TRAF Proteins in Human Cancers

The tumor necrosis factor receptor (TNF-R)-associated factor (TRAF) family of cytoplasmic adaptor proteins regulate the signal transduction pathways of a variety of receptors, including the TNF-R superfamily, Toll-like receptors (TLRs), NOD-like receptors (NLRs), RIG-I-like receptors (RLRs), and cytokine receptors. TRAF-dependent signaling pathways participate in a diverse array of important cellular processes, including the survival, proliferation, differentiation, and activation of different cell types. Many of these TRAF-dependent signaling pathways have been implicated in cancer pathogenesis. Here we analyze the current evidence of genetic alterations of TRAF molecules available from The Cancer Genome Atlas (TCGA) and the Catalog of Somatic Mutations in Cancer (COSMIC) as well as the published literature, including copy number variations and mutation landscape of TRAFs in various human cancers. Such analyses reveal that both gain- and loss-of-function genetic alterations of different TRAF proteins are commonly present in a number of human cancers. These include pancreatic cancer, meningioma, breast cancer, prostate cancer, lung cancer, liver cancer, head and neck cancer, stomach cancer, colon cancer, bladder cancer, uterine cancer, melanoma, sarcoma, and B cell malignancies, among others. Furthermore, we summarize the key in vivo and in vitro evidence that demonstrates the causal roles of genetic alterations of TRAF proteins in tumorigenesis within different cell types and organs. Taken together, the information presented in this review provides a rationale for the development of therapeutic strategies to manipulate TRAF proteins or TRAF-dependent signaling pathways in different human cancers by precision medicine.
Hybrid recommendations by content-aligned Bayesian personalized ranking

ABSTRACT In many application domains of recommender systems, content-based (CB) information are available for users, objects or both. CB information plays an important role in the process of recommendation, especially in cold-start scenarios, where the volume of feedback data is low. However, CB information may come from several, possibly external, sources varying in reliability, coverage or relevance to the recommending task. Therefore, each content source or attribute possess a different level of informativeness, which should be taken into consideration during the process of recommendation. In this paper, we propose a Content-Aligned Bayesian Personalized Ranking Matrix Factorization method (CABPR), extending Bayesian Personalized Ranking Matrix Factorization (BPR) by incorporating multiple sources of content information into the BPR’s optimization procedure. The working principle of CABPR is to calculate user-to-user and object-to-object similarity matrices based on the content information and penalize differences in latent factors of closely related users’ or objects’. CABPR further estimates relevance of similarity matrices as a part of the optimization procedure. CABPR method is a significant extension of a previously published BPR_MCA method, featuring additional variants of optimization criterion and improved optimization procedure. Four variants of CABPR were evaluated on two publicly available datasets: MovieLens 1M dataset, extended by data from IMDB, DBTropes and ZIP code statistics and LOD-RecSys dataset extended by the information available from DBPedia. Experiments shown that CABPR significantly improves over standard BPR as well as BPR_MCA method w.r. t. several cold-start scenarios.
Quantitative Cross-Platform Performance Comparison between Different Detection Mechanisms in Surface Plasmon Sensors for Voltage Sensing

Surface plasmon Resonance (SPR) has recently been of interest for label-free voltage sensing. Several SPR structures have been proposed. However, making a quantitative cross-platform comparison for these structures is not straightforward due to (1) different SPR measurement mechanisms; (2) different electrolytic solution and concentration in the measurement; and (3) different levels of external applied potential. Here, we propose a quantitative approach to make a direct quantitative comparison across different SPR structures, different electrolytic solutions and different SPR measurement mechanisms. There are two structures employed as example in this theoretical study including uniform plasmonic gold sensor and bimetallic layered structure consisting of uniform silver layer (Ag) coated by uniform gold layer (Ag). The cross-platform comparison was carried by several performance parameters including sensitivity (S), full width half maximum (FWHM) and figure of merit (FoM). We also discuss how the SPR measurement mechanisms enhance the performance parameters and how the bimetallic layer can be employed to enhance the FoM by a factor of 1.34 to 25 depending on the SPR detection mechanism.
Device-Free Vehicle Speed Estimation With WiFi

Vehicle networks is a promising technique, which could provide ubiquitous wireless access for vehicles and realize intelligent transportation. Motivated by the recent advances on device-free wireless sensing, this paper explores a novel technique, which could estimate the speed of a vehicle by analyzing its influence on surrounding wireless signals from roadside wireless infrastructures, such as WiFi. This technique could enable vehicle networks with new moving speed sensing ability and evolve it into a large-scale sensing network, which could monitor the traffic status seamlessly. To achieve this goal, in this paper, we propose and formulate a model to characterize the relationship between the phase and amplitude measurements and the vehicle speed. Based on the model, we develop an efficient method to detect the vehicle and estimate its speed accordingly using the frequency-domain information involved in the spectrogram. We carry out extensive experiments utilizing commodity WiFi. The experimental results reveal that the proposed method could estimate the speed with an error of less than 2.6 km/h, which meets the United Nations regulation for speedometer.
Plant and Phenology Recognition from Field Images Using Texture and Color Features

Determination of the phenological stages of plants is important for the growth of healthy and productive plants. The knowledge of transition times of phenological stages of a plant can provide valuable data for planning, organizing and timely execution of agricultural activities (spraying, irrigation etc.). TARBIL is an agricultural monitoring and information system that is founded and supported by Republic of Turkey Ministry of Food, Agriculture and Livestock. This system has a network of stations located in many parts of Turkey. Stations, that contain many sensors and cameras, periodically collect images and meteorological data from the agricultural fields. Previous works focus on either only about plant identification or only phenological stage recognition using only one texture analysis method. Our approachment to the problem is novel because not only the recognition of the plant type or the recognition of only the phenological stage, but also joint identification of the plant type and the phenological stages are provided with several texture and color feature analysis methods. In this work, a study is conducted to compare the use of several image texture features along with color features extracted from TARBIL field image data for the classification of the plants and their phenological stages. Experimental results show that HOG (Histograms of Oriented Gradients) yields the best performance among the texture features tested.
Investigation on Evolving Single-Carrier NOMA Into Multi-Carrier NOMA in 5G

Non-orthogonal multiple access (NOMA) is one promising technology, which provides high system capacity, low latency, and massive connectivity, to address several challenges in the fifth-generation wireless systems. In this paper, we first reveal that the NOMA techniques have evolved from single-carrier NOMA (SC-NOMA) into multi-carrier NOMA (MC-NOMA). Then, we comprehensively investigated on the basic principles, enabling schemes and evaluations of the two most promising MC-NOMA techniques, namely sparse code multiple access (SCMA) and pattern division multiple access (PDMA). Meanwhile, we consider that the research challenges of SCMA and PDMA might be addressed with the stimulation of the advanced and matured progress in SC-NOMA. Finally, yet importantly, we investigate the emerging applications, and point out the future research trends of the MC-NOMA techniques, which could be straightforwardly inspired by the various deployments of SC-NOMA.
3D Alginate Hydrogels with Controlled Mechanical Properties for Mammalian Cell Encapsulation

Alginate is one of the most attractive biomaterials for the design of hydrogels for biological and biomedical applications. This biomaterial is composed of varying amounts of two monomers, αL-guluronic acid (G) and β-D-mannuronic acid (M). Recent reports have suggested that depending on the monomeric composition of the hydrogel, stability, mechanical resistance, biodegradability, permeability and gelation might vary significantly. Even though different alginate-based hydrogels have been explored for encapsulation of cells, a correlation between composition and mechanical properties is still missing. Closing this important knowledge gap has been considered crucial for the development of next generation 3D materials capable of resembling the features of extracellular matrices. The purpose of this study was therefore to correlate rheological and mechanical properties of two alginatebased hydrogel formulations. Alginate 1 (Low G 20%-30% of G) and alginate 2 (High G 65%-75% of G) hydrogels were prepared by the diffusion of Calcium ions from a two-layer agarose matrix. The prepared hydrogels were characterized by determining the elastic and Loss moduli at a time sweep of 1Hz. Also, stiffness was determined via AFM. The rheological tests suggest that Low G hydrogels, exhibit higher Storage moduli than High G hydrogels. In line with this result, stiffness is significantly higher for High G hydrogels.
Seeing Signs of Danger: Attention-Accelerated Hazmat Label Detection

Rescue robots and similar vehicles must recognize various visual objects. Some are of particular interest and must be reliably recognized, for example, hazard signs. Hazmat labels and other intentionally placed signs of danger are typically attached to walls, containers, or vehicles, in locations where they attract attention. These backgrounds typically are of relatively simple structure (though not guaranteed to be plain) while the labels have saturated colors and high contrasts. We provide a new dataset that contains such images and a novel hazmat detection method. It includes an attentional preselection, which exploits the salient design and placement of the labels to locate them, followed by a SIFT-based classification that determines the concrete label type. The results show substantial speed improvements and accuracy gains over the traditional method without an attention stage.
Hawkeye radiometric calibration methodology

Hawkeye is an ocean color instrument designed, manufactured and characterized at Cloudland Instruments, CA. It is a push broom instrument that has 8 spectral bands similar to SeaWiFS and a spatial resolution of 120 m. Each spectral band has 1800 detectors (pixels) and all 14,000 detectors (pixels) need to be calibrated independently. This paper describes the preliminary design of on-orbit calibration method to correct for the instrument response’s temperature sensitivity, scan angle dependency in radiometric sensitivity, relative spectral response (RSR), nonlinearity, and polarization sensitivity. We will provide a brief description on how each of the calibration parameters are used to address the instrument characteristics and how the calibration parameters are derived from instrument test data and use to retrieve ocean color products.
Outcome after accidental food bolus-induced esophageal perforation

Abstract Objectives: Food bolus-induced esophageal perforation is much more seldom than iatrogenic and emetic esophageal rupture. We present results from a non-operative treatment approach as well as long-term functional outcome. Materials and methods: Medical records of 10 consecutive patients with food bolus-induced esophageal perforation from October 2007 to May 2015 were retrospectively registered in a database. Six patients developed perforation related to endoscopic removal of impacted food, and four during esophageal passage of bone, meat or bread. Treatment was sealing the perforation by stenting (n = 7) with (n = 4) or without (n = 3) chest tube drainage, chest tube drainage (n = 1), observation (n = 1) and gastroesophageal resection (n = 1) because of concomitant emesis of gastric effluent. After median 51 months nine patients reported about dysphagia, fatigue and health-related quality of life. Results: Ten patients aged median 62.5 years (range 30–85) stayed in our hospital for 12 days (5–68 days). There was no treatment-related mortality. Nine patients were alive 63 months (18–126) after perforation. Five needed restenting (leakage, migration, impacted stent), two had drainage of a mediastinal abscess, one patient developed a transient esophagobronchial fistula. Dysphagia score was 0 (0–1). One patient developed dysphagia for some solid food. Scores for fatigue and HRQoL was similar to a Norwegian reference population. Conclusion: Treatment mainly with a non-operative approach occurred without mortality. Complications were handled by restenting and abscess drainage. Functional result for dysphagia was excellent. Interesting results on fatigue and HRQoL must be interpreted with caution because of a limited patient material.
Survey on QoE Assessment Approach for Network Service

With the development of converged all-IP networks, new network services—supporting, among others, image, audio, and video—with high diversity emerge, which brings huge pressure and fierce competition to service providers because of increasing choices for users. Assessing end user’s quality of experience (QoE) has become one of the main issues to meet high user requirements and satisfaction under any circumstances, which means receiving any service, anytime, anywhere, on any device, by any media and networking technology, across any operator domain. In this paper, we provide an overview of the field of QoE assessment approaches including three aspects: subjective assessment, objective assessment, and hybrid assessment. The discussion includes the definition, influence factors, and quantification approaches for QoE. Then, these three assessment methodologies are surveyed and compared across a number of factors. This paper also introduces challenges and opportunities in the area of QoE assessment.
Interferon lambda 3/4 polymorphisms are associated with AIDS-related Kaposi's sarcoma

Background: Kaposi's sarcoma, the most common AIDS-related cancer, represents a major public concern in resource-limited countries. Single nucleotide polymorphisms within the Interferon lambda 3/4 region (IFNL3/4) determine the expression, function of IFNL4, and influence the clinical course of an increasing number of viral infections. Objectives: To analyze whether IFNL3/4 variants are associated with susceptibility to AIDS-related Kaposi's sarcoma among MSM enrolled in the Swiss HIV Cohort Study (SHCS). Methods: The risk of developing Kaposi's sarcoma according to the carriage of IFNL3/4 SNPs rs8099917 and rs12980275 and their haplotypic combinations was assessed by using cumulative incidence curves and Cox regression models, accounting for relevant covariables. Results: Kaposi's sarcoma was diagnosed in 221 of 2558 MSM Caucasian SHCS participants. Both rs12980275 and rs8099917 were associated with an increased risk of Kaposi's sarcoma (cumulative incidence 15 versus 10%, P = 0.01 and 16 versus 10%, P = 0.009, respectively). Diplotypes predicted to produce the active P70 form (cumulative incidence 16 versus 10%, P = 0.01) but not the less active S70 (cumulative incidence 11 versus 10%, P = 0.7) form of IFNL4 were associated with an increased risk of Kaposi's sarcoma, compared with those predicted not to produce IFNL4. The associations remained significant in a multivariate Cox regression model after adjustment for age at infection, combination antiretroviral therapy, median CD4+ T-cell count nadir and CD4+ slopes (hazard ratio 1.42, 95% confidence interval 1.06–1.89, P = 0.02 for IFLN P70 versus no IFNL4). Conclusion: This study reports for the first time an association between IFNL3/4 polymorphisms and susceptibility to AIDS-related Kaposi's sarcoma.
Detection of fault creep around NAF by InSAR time series analysis using PALSAR data

North Anatolian Fault (NAF) has several records of a huge earthquake occurrence in the last one century, which is well-known as a risky active fault. Some signs indicating a creep displacement could be observed on the Ismetpasa segment. It is reported so far that the San Andreas Fault in California, the Longitudinal Valley fault in Taiwan and the Valley Fault System in Metro Manila also exhibit fault creep. The fault with creep deformation is aseismic and never generates the large-scale earthquakes. But the scale and rate of fault creep are important factors to watch the fault behavior and to understand the cycle of earthquake. The purpose of this study is to investigate the distribution of spatial and temporal change on the ground motion due to fault creep in the surrounding of the Ismetpasa, NAF. DInSAR is capable to catch a subtle land displacement less than a centimeter and observe a wide area at a high spatial resolution. We applied InSAR time series analysis using PALSAR data in order to measure long-term ground deformation from 2007 until 2011. As a result, the land deformation that the northern and southern parts of the fault have slipped to east and west at a rate of 7.5 and 6.5 mm/year in line of sight respectively were obviously detected. In addition, it became clear that the fault creep along the NAF extended 61 km in east to west direction.