Miracle-dz/UniFAR-FTUs huggingface dataset:
Re-identification in Home Environments using Facial and Appearance Features

Re-identification is a vital task in video surveillance, and it is often viewed as an image retrieval task (i.e. given one image to search relevant images from all other images captured by different cameras.). The majority of the state-of-art methodologies focus on data which is obtained in an outdoor environment and are based on spatial and temporal features [1]. However, there is a need for methodologies that can handle data from the home environment due to the increasing demand for health monitoring. The LIMA dataset [2] , where the images are captured by a low-cost camera in the home environment, provided by the SPHERE project, includes realistic challenges. As an example, people in the scene may change clothes, and an unknown identity may appear in the scene. Since these are challenging situations, facial features can help to discriminate better amongst different identities that appear in the scene. Therefore, We have provided some re-identification results for LIMA dataset and methodologies focus on both facial and appearance features. Besides, we also label each image in the LIMA dataset to provide a LIMA face dataset (binary label, face or not containing face) to support the face detection performance measurement. Both traditional and modern approaches are employed to compare the performance in face detection and recognition. Furthermore, CNN with only appearance features is trained to see the drawbacks of the appearance features. Then, we propose a two-stream convolutional neural network to combine facial and appearance features together to predict the ID of the person, and it can be shown that the facial features indeed improve the performance through a simple experiment.
CPC: Automatically Classifying and Propagating Natural Language Comments via Program Analysis

Code comments provide abundant information that have been leveraged to help perform various software engineering tasks, such as bug detection, specification inference, and code synthesis. However, developers are less motivated to write and update comments, making it infeasible and error-prone to leverage comments to facilitate software engineering tasks. In this paper, we propose to leverage program analysis to systematically derive, refine, and propagate comments. For example, by propagation via program analysis, comments can be passed on to code entities that are not commented such that code bugs can be detected leveraging the propagated comments. Developers usually comment on different aspects of code elements like methods, and use comments to describe various contents, such as functionalities and properties. To more effectively utilize comments, a fine-grained and elaborated taxonomy of comments and a reliable classifier to automatically categorize a comment are needed. In this paper, we build a comprehensive taxonomy and propose using program analysis to propagate comments. We develop a prototype CPC, and evaluate it on 5 projects. The evaluation results demonstrate 41573 new comments can be derived by propagation from other code locations with 88% accuracy. Among them, we can derive precise functional comments for 87 native methods that have neither existing comments nor source code. Leveraging the propagated comments, we detect 37 new bugs in open source large projects, 30 of which have been confirmed and fixed by developers, and 304 defects in existing comments (by looking at inconsistencies between existing and propagated comments), including 12 incomplete comments and 292 wrong comments. This demonstrates the effectiveness of our approach. Our user study confirms propagated comments align well with existing comments in terms of quality.
What students learned from “Thai medicine seminar”: Implication for education in medical communication

Abstract Nowadays, the use of complementary and alternative medicines by people is becoming more popular as an additional therapy to western medicine. Traditional medicine, which is a part of complementary and alternative medicines, is utilized complementarily with the dominant health-care model in Thailand. In Thailand, Thai traditional medicine is considered as one of the most valuable in their practice as an additional therapy. In terms of influence on university students, Thai traditional medicine seems to benefit university students’ mental health. However, little is known about what university students in multidisciplinary specialty learn from Thai traditional medicine, especially students outside Thailand. We aimed to study the learning impact of Thai Medicine Seminar, especially focused on the lesson of Thai traditional massage, for university students in Japan. Thai Medicine Seminar was conducted as an elective course for students of the University of Tokyo. Post-class reports from 26 students were analyzed qualitatively by thematic analysis. Nineteen codes were generated which were integrated into four categories: [Learning about Thai traditional medicine], [Learning about one’s own mind and body], [Learning about relationships with others], and [Improvement of learning motivation for diverse studies]. From Thai Medicine Seminar, students learned not only the nature of Thai traditional medicine but also aspects of mind-body awareness and relationships with others.
Tradeoffs and Time Lag in Ecosystem Services
during Degradation and Restoration Processes
in a Freshwater Lake Region
in Northern China

Understanding the tradeoffs between ecosystem services is important to ensure the success of ecological restoration projects. This study assesses the tradeoffs and time lag between ecosystem services during the degradation and restoration of a freshwater lake. Changes in land cover and ecosystem service value (ESV) were studied from 1984 to 2015 in Mata Lake. Results suggested that land cover change fluctuated frequently in Mata Lake, specifically for water and lakeside wetland. The ESV change was later than land cover change in time scale, indicating a time lag between land cover change and ESV change. Results of Pearson’s correlation analyses showed that tradeoffs in ecosystem services mainly occurred in provisioning and regulating services. We noted that the temporary increase of single ecosystem services such as food production in the lake was detrimental to the long-term development of total ecosystem services. On the contrary, improvement of some regulation services at the cost of provisioning services contributed significantly to total ESV. The biodiversity conservation was significantly related to other ecosystem services, while food production and raw materials were not. Hence, biodiversity conservation is holistic and affected by multiple circumstances. Our research in Mata Lake has significant implications on future restoration and management projects for other lakes
RIF: Radiation-induced foci DSB: Double strand break IR: Ionizing radiation Post-IR: Following exposure to ionizing radiation ATM: Ataxia telangectasia mutated ATMp: ATM phosphorylated at serine 1981 γ-H2AX: histone H2AX phosphorylated at serine 139 PFGE: Pulse field gel electrophoresis LET: Linear 

Background: Several proteins involved in the response to DNA double strand breaks (DSB) form microscopically visible nuclear domains, or foci, after exposure to ionizing radiation. Radiation-induced foci (RIF) are believed to be located where DNA damage is induced. To test this assumption, we analyzed the spatial distribution of 53BP1, phosphorylated ATM and γH2AX RIF in cells irradiated with high linear energy transfer (LET) radiation. Methodology/Principal Findings: Since energy is randomly deposited along high-LET particle paths, RIF along these paths should also be randomly distributed. The probability to induce DSB can be derived from DNA fragment data measured experimentally by pulsed-field gel electrophoresis. We used this probability in Monte Carlo simulations to predict DSB locations in synthetic nuclei geometrically described by a complete set of human chromosomes, taking into account microscope optics from real experiments. As expected, simulations produced DNA-weighted random (Poisson) distributions. In contrast, the distributions of RIF obtained as early as 5 min after exposure to high LET (1 GeV/amu Fe) were non-random. This deviation from the expected DNA-weighted random pattern can be further characterized by “relative DNA image measurements”. This novel imaging approach shows that RIF were located preferentially at the interface between high and low DNA density regions, and were more frequent in regions with lower density DNA than predicted. This deviation from random behavior was more pronounced within the first 5 min following irradiation for phosphorylated ATM RIF, while γH2AX and 53BP1 RIF showed very pronounced deviation up to 30 min after exposure. Conclusions/Significance: These data suggest the existence of repair centers in mammalian epithelial cells. These centers would be nuclear sub-domains where DNA lesions would be collected for more efficient repair.
Electrorheological Fluid Based Brake for Active Physiotherapy Systems

The paper presents an electrorheological brake developed with the purpose to be used into the structure of rehabilitations wrist systems. A shor t overview of smart fluids used in systems for physiotherapy is presented to reveal the i nter st, at global level, for the possibilities of using electro heological fluids in such applications. The electrorheological fluid brake design is based on the hydraulic clutch equ ations and on the previous experimental results. After developing the brake it was tes ted with commercially available and laboratory developed electrorheologica l fluids. Results, the control modality and the implementation possibilities into a wrist exerciser are presen ted.
Students’ Perceptions and Attitudes toward Working in the Tourism Industry in Egypt

This research examines the perceptions and attitudes of undergraduate tourism and hotel students toward aspects of working in tourism industry in Egypt. Four hundred and eighty students in faculty of Tourism and Hotel Management Helwan Universitycompleted a questionnaire of three closed questions, multi-dimensional, and multi-item attitude scale. The results showed a general unfavorable evaluation towards working in tourism industry. It has been argued that the lack of skills in tourism industry in Egypt will grow afterward if problems are not addressed. Overall, the final findings cover aspects of commitment to the industry, so gave negative attitude to working in tourism industry. This highlights the need for tutors adopting tactics and strategies aiming to ensure potential employee after graduation. Moreover, these findings may be given to other faculties of tourism and hotels to make use of. A positive aim of these findings is its role as a useful source of information regarding the perceptions and attitudes of the study sample. As a conclusion, this study offers recommendations to tourism industry professionals and tutors relating to students’ expectations of their future work environment. Furthermore, the researcher identifies some limitations of this study and areas for further research.
Impact of Corporate Governance on Investment in SMEs Vietnam

Controlling the investment activities of company representatives helps to avoid inefficient investment activities. Shareholders will face with risks if manager’s decisions which not bring benefits to shareholders (according to agency theory). Studying the influence of corporate governance on investment has an important role in controlling investment activities of enterprises. Therefore, the authors analyze the impact of corporate governance on investment of small and medium enterprises (SMEs) in Vietnam from 2014 to 2018. With data collected from 480 small and medium enterprises in Vietnam. The results show that state-owned enterprises tend to invest less than non-state enterprises. Companies with manager is board chair and manager hold shares will make investing more. Revenue growth and financial leverage have a positive impact on investment. From the results of this study, the authors also make some recommendations to help control investment activities in the enterprise through corporate governance characteristics.
Stock Market Index Trading Algorithm Using Discrete Hidden Markov Models and

— This work presents an innovative approach to algorithmic stock market index trading by means of a combination of discrete Hidden Markov Models (DHMMs) using windows of daily and weekly data. The DHMMs are trained using the Baum-Welch algorithm, and the predictions are obtained with the aid of the Viterbi algorithm. In order to use the DHMMs the close price data of the stock index S&P 500 is transformed into two discrete values: drop and rise in relation to the closing price of the previous trading day. The Relative Strength Index (RSI) is used as a decision criteria to choose between the different DHMMs, and subsequently a price trend forecast is produced. Using these forecasts the algorithm is capable of autonomously trading in the stock market. The system was trained using S&P 500 index price data from January 2003 to January 2009, and it was tested from January 2009 to January 2017. The results were compared to a state of the art solution and two investment strategies: the Buy & Hold and a purely random strategy. The developed algorithm outperformed all three other approaches over the testing period, achieving a rate of return of 356%, which significantly exceeds the 199% return of the S&P 500 index.
AMINO ACIDS VARIATION AT PARC GENE OF CLINICAL SALMONELLA TYPHI ISOLATES

This study was conducted to find out the best molecular marker for detecting novel Salmonella strains from local area in Indonesia. Two clinical isolates of Salmonella Typhi from different patients in East Nusa Tenggara were examined for its resistance against nalidixic acid. The quinolone resistance-determining regions (QRDR) of the structural genes encoded by parC were amplified by PCR, and the nucleotide sequences of the resistants isolates were then compared to those of the susceptible ones. Analysis of the amino acids sequences of the parC showed that the resistant isolates clustered as a different clade compared to the sensitive strains, which make another clades. There are amino acids differences between two resistant strains being analysed, as well as between the resistant and the sensitive strains.
BAHULU ATTRACTION-WHAT IS EXPECTED OF BAHULU AS A TOURISM PRODUCT?

This study questions whether bahulu, as an example of traditional food, can be marketed as a successful tourism product. To answer this question, the study explores tourists’ food expectations when bahulu is treated as regular food, and when it is treated as a tourism product. From analyses of in-depth interview transcriptions with 22 willing tourists, the study found that food quality (objective and subjective/ perceived) emerged as a top expectation in both cases. The study also managed to identify three components of food quality: sensory, functional, and symbolic components as specific aspects of bahulu as well as the peripherals that can be considered to add value to the attractiveness of the food as a tourism product.
Nonlinear Embedding Model-Based Continuous Class E/F Power Amplifier

This letter presents the design of a continuous class E/F power amplifier (PA) using model-based nonlinear embedding. The theoretically calculated continuous class E/F loads defined at the current source reference plane (CRP) may not guarantee feasible loads at the extrinsic package reference plane (ERP) due to nonlinear parasitic. Hence, a design space is analyzed to map the correct mode of the class E/F continuum over broadband to obtain feasible loads. A scheme is presented to assign fundamental current component ( $\phi$ ) to various frequencies over the band to obtain a tradeoff between best bandwidth and feasibility of a passive matching network. A nonlinear embedding model is used to project the loads from CRP to ERP. As a proof of concept, a continuous class E/F PA is designed using CGH27015F. The prototype developed has measured a drain efficiency of 60.2%–76.5% from 1.5 to 2.9 GHz which corresponds to 63.6% fractional bandwidth.
Impact of Loss of Generation on Bus Voltage Frequency and RoCoF

This study investigates how the loss of a generator impacts bus voltage RoCoF post-disturbance. The results show that the fastest bus voltage RoCoFs will occur close to generators impacted the most by the disturbance but this may not be the closest generator to the disturbance. The study also demonstrates a simple method that can be used to identify the generator that will be impacted most after a disturbance and hence the network location that will experience the fastest RoCoF.
A Novel MRAS Based Speed Sensorless Vector Controlled PMSM Drive

This paper presents the new Modified Fictitious quantity (X) Model Reference Adaptive System (MRAS) based speed estimation technique for a vector controlled Permanent Magnet Synchronous Motor (PMSM) drive. The speed sensorless drive has various advantages from the cost, consistency, compatibility, and environmental issues. The Modified X-MRAS is formed from reference and actual values of voltages and currents, in the rotor reference frame to estimate the speed. The proposed speed estimation technique is independent of all the machine parameters, integrator, and differentiator. Thus, any variations in machine parameters will not affect the performance of the drive, and the drive is stable in all the four-quadrants of operation. The proposed Modified X-MRAS based speed estimator for PMSM drive performs satisfactorily when compared to the Active (P) and Reactive (Q) power MRAS based speed estimation techniques at various speeds and loaded condition. The proposed technique is verified through computer simulation by using MATLAB/SIMULINK platform and also, verified by using Typhoon Hardware-In-the-Loop (HIL)-402 platform.
Car collision avoidance with velocity obstacle approach: Evaluation of the reliability and performace of the collision avoidance maneuver

The obstacle avoidance maneuver is required for an autonomous vehicle. It is essential to define the system's performance by evaluating the minimum reaction times of the vehicle and analyzing the probability of success of the avoiding operation. This paper presents a collision avoidance algorithm based on the velocity obstacle approach that guarantees collision-free maneuvers. The vehicle is controlled by an optimal feedback control named FLOP, designed to produce the best performance in terms of safety and minimum kinetic collision energy. Dimensionless accident evaluation parameters are proposed to compare different crash scenarios.
Output Power Smoothing of Grid-Tied PMSG-Based Variable Speed Wind Turbine Using Optimal Controlled SMES

Due to the stochastic nature of wind speed, energy storage systems are used to reduce the fluctuations of the output power of wind farms. In this paper, the superconducting magnetic energy storage (SMES) is used to smoothen the output power of a permanent magnet synchronous generator (PMSG) driven by a variable speed wind turbine. The PMSG is connected to the grid through a back-to-back converter. The SMES is connected to the DC link of the back-to-back converter through an asymmetrical converter. The Grey Wolf Optimizer (GWO) is used to find the optimal parameters of a proportional-integral (PI) controller used to regulate the charge and discharge operation of the SMES unit. The grid-tied PMSG wind turbine system is modelled and simulated using PSCAD/EMTDC software. Wind speed data measured at Zaafarana wind farm, Egypt is used in evaluating the system’s performance. Simulation results revealed that the optimal controlled SMES has smoothened the output wind power and reduced the total harmonic distortion of it.
Effectiveness of Particle Film Technology and Copper Products in the Control of Olive Fruit Fly

The olive fruit fly, Bactrocera oleae (Gmelin) (Diptera Tephritidae), is the key pest in olive orchards in Egypt. The effectiveness of processed kaolin (Super Nano), Bentonite and copper products ( Kocide 2000 & Nasr Copper) were tested for controlling olive fruit fly; field trials were conducted during the two years 2013-2014 of Matruoh Governorate, Egypt. The results indicated that Super Nano product in different concentrations suppressed olive fruit fly infestations. The high concentrations of kaolin reduced percentage of olive fruit fly infestations. The best concentration of Super Nano was 5 % but 3 & 4 % concentrations were more economic than 5%. Data showed that the concentrations 3%, 4% and 5% achieved more than 50 % of reduction percentage of olive fruit fly infestations ranged from 69.3% to 83.4% during 2013 & 2014. Results proved that the best concentration of bentonite treatment was 5 and 4 % for controlling the olive fruit fly over 3%, 2%, 1% and untreated control treatments. The high concentrations of bentonite (4 & 5%) reduced fruit infestation by (59.4, 54.8 & 72.3 %) and (46.9, 46.4 & 50.7), respectively. Bentonite product at 3 %, 2%, & 1% reduced the infestation by (34.3, 24.0 & 16.3 %). Also data cleared that copper hydroxide (Kocide 2000) was more than copper oxychloride in controlling the olive fruit fly causing infestation reduction by (55.9, 59.0 & 59.9 %) and (48.0, 52.8 & 58.5 %), respectively. In general Kaolin, Bentonite and copper products are effectively able to limit olive fruit fly infestations to a good level for olive production. These materials can be used also as a new tactic for IPM programs of olive fruit fly in olive fields.
Multi-Band Absorptive Frequency-Selective Reflection Structures

Multiband absorptive frequency-selective reflection (AFSR) structures are proposed in this paper. The structures exhibit multi-reflection bands within a wide absorption band; such performance is accomplished by cascading a multiband bandstop 3-D frequency-selective structure (3-D FSS) with a wideband absorber. Two AFSR structures are designed and simulated. The first structure has dual-reflection bands, while the second structure exhibits tri-reflection bands. A commercial absorber, Eccosorb® FGM-125, is utilized because it is thin (thickness = 3.2 mm) and has a wide absorption band (2 – 12 GHz). This lossy material is termed as ECCOSORB FGMU-125 in CST2014. Under oblique incidence, stable dual- and tri-reflection bands with out-of-band absorption are accomplished.
Photonic Radio Frequency Memory with Controlled Doppler Frequency Shift

A photonic Radio Frequency (RF) memory with coherent frequency shift and time gated amplifying recirculating delay line is proposed. It can simultaneously control Doppler frequency shift (DFS) and RF storage time. The coherent frequency shift is realized by the beat between the carrier with acoustic-optic modulator (AOM) frequency shift and sideband with carrier suppression modulation. And time gated amplifying recirculating delay line is based on high extinction ratio and fast response time-gated SOAs eliminating the problem of coherent lasing and power attenuation in recirculating memory loop. Reconfigurable long storage time greater than 500$\mu$s and Doppler frequency shift value within ± 3 MHz at 10 GHz RF signal are achieved. The new method has the ability to make the jamming effect simultaneously on the distance and speed terms in the electronic jamming or countermeasures.