Miracle-dz/UniFAR-FTUs huggingface dataset:
Fusion Mechanisms for Human Activity Recognition Using Automated Machine Learning

Human activity recognition has been a branch of interest in the field of computer vision for decades, due to its numerous applications in different domains, such as medicine, surveillance, entertainment or human-computer interaction. We propose an intuitive, effective, quickly trainable and customizable system for recognizing human activities designed with an automated machine learning method based on Neural Architecture Search. Information from all channels of a 3D video (RGB and depth data, skeleton and context objects) is merged by independently passing these data streams through 2D convolutional neural networks. The outputs of all networks are combined in a summarizing array of class scores using fusion mechanisms that are not computationally intensive but reflect the meaningful information from a video. The proposed system is tested using three public datasets and a new dataset—PRECIS HAR—that was created in our laboratory. In all our experiments, the system is proven to be highly accurate: 98.43% on MSRDailyActivity3D, 91.41% on UTD-MHAD, 90.95% on NTU RGB+D, and 94.38% on our dataset.
Macroscopic Wood Blurred Image Analysis to Determine The Factors of Causing Blur

This paper presents an analysis of what factors cause blur on an image, especially macroscopic images of wood. The image is divided into 6x6 sub-images (blocks), which will then be determined factors causing blur based on patterns and variations of Laplacian calculated from each block. Validation is conducted using two different datasets. The first dataset is Wood Species Dataset that is given a median blur, and testing is performed to validate the proposed algorithm. The second dataset is a dataset collected directly using a smartphone camera, and testing is carried out to determine what factors influence the occurrence of blur in wood macroscopic images. The test results show the proposed algorithm produces a pattern that can determine the factors causing blur.
High Performance Vertically Aligned Electrospun PVP:PC71BM Nanofiber for Organic Solar Cells

This paper is directed towards investigating the characteristic of poly(4-vinylpyrirolidone) (PVPy):[6,6]-phenyl C71 butyric acid methyl ester (PC71BM) solar cell for both structural and electrical characteristic by varying the effect of polymer solution concentration and drum rotation speed towards improving the efficiency of Organic solar cell (OSC). PVP:PC71BM solar cell with polymer solution concentration of 4wt% and 200rpm drum rotation speed exhibit highest Power Conversion Efficiency (PCE) at 7.8% and 7.5% respectively, a Jsc ranging from 17.28 to 16.90 mA cm−2 and FF value from 63.0 to 62.8% respectively. The added benefit of high absorption properties of PC71BM and incorporation of PVP in reducing work function and interfacial resistance further improve the efficiency of OSCs device. This is where PVP:PC71BM nanofiber become relevant to the photovoltaic market which lowered production cost with better efficiency without hindering their transparent and flexibility properties for future building integrated photovoltaic application.
Understanding Anonymous Social Media Posts using Topic Modeling

Social Media holds a substantial amount of text data that can help organizations better understand their clients. For students of National University (NU) – Manila, Facebook serves as a medium to express their opinions and create topics for discussion that may generally speak about the University. Through Topic Modeling using Latent Dirichlet Allocation (LDA), various experiments were conducted to identify the topics discussed by the students based on the highest coherence score value obtained. From these experiments, a total of twenty (20) topics with Alpha and Beta values set to one (1) revealed the highest coherence. The topics were labeled and revealed interesting insights. Personal relationships and school-related concerns were the common topics posted on the two Facebook pages. To further improve the study, a chronological approach for topic modeling is recommended.
Performance Analysis of Classifier in Detecting Epileptic Seizure Based on Discrete Wavelet Transform

The paper demonstrates epileptic seizure detection by analyzing the performance of k-nearest neighbor (KNN) classification technique. The writer applies this classifier on epileptic patient seizure datasets based on extracted feature from Discrete Wavelet Transform (DWT). The research indicates that DWT improved the KNN classifier with average 93.42% on the datasets and less chance of false detection rate for epileptic seizure datasets.
Mapping Quantitative Trait Loci for Soybean Seedling Shoot and Root Architecture Traits in an Inter-Specific Genetic Population

Wild soybean species (Glycine soja Siebold & Zucc.) comprise a unique resource to widen the genetic base of cultivated soybean [Glycine max (L.) Merr. ] for various agronomic traits. An inter-specific mapping population derived from a cross of cultivar Williams 82 and PI 483460B, a wild soybean accession, was utilized for genetic characterization of root architecture traits. The objectives of this study were to identify and characterize quantitative trait loci (QTL) for seedling shoot and root architecture traits, as well as to determine additive/epistatic interaction effects of identified QTLs. A total of 16,469 single nucleotide polymorphisms (SNPs) developed for the Illumina beadchip genotyping platform were used to construct a high resolution genetic linkage map. Among the 11 putative QTLs identified, two significant QTLs on chromosome 7 were determined to be associated with total root length (RL) and root surface area (RSA) with favorable alleles from the wild soybean parent. These seedling root traits, RL (BARC_020495_04641 ~ BARC_023101_03769) and RSA (SNP02285 ~ SNP18129_Magellan), could be potential targets for introgression into cultivated soybean background to improve both tap and lateral roots. The RL QTL region harbors four candidate genes with higher expression in root tissues: Phosphofructokinase (Glyma.07g126400), Snf7 protein (Glyma.07g127300), unknown functional gene (Glyma.07g127900), and Leucine Rich-Repeat protein (Glyma.07g127100). The novel alleles inherited from the wild soybean accession could be used as molecular markers to improve root system architecture and productivity in elite soybean lines.
User Interface Design Of Learning Applications For Balinese Traditional Dance using Goal-Directed

One of Indonesia’s cultural diversity that needs to be preserved is a traditional dance. Regeneration needs to be done on Indonesian teenagers to strengthen Indonesian cultural identity and continue to preserve Indonesian culture. By contributing to learning traditional dance with dance teachers are one of the efforts to preserve culture. Some dance students choose to learn by self-education due to lack of time flexibility. However, the disadvantage of self-taught learning is that no one can correct the mistakes made during the exercise movement. So, we need a media that can help dance students when doing traditional self-taught dance exercises. Microsoft Kinect is a sensor that can detect motion. This device is used to detect dance movements and correct dance movements. It is known that the user has a purpose when doing the learning to be achieved, therefore in this research, the Goal-Directed Design method is used. Then the research testing is done by using SUS because SUS covers aspects of system usability that are appropriate in this study. The results of this study are a User-Interface model in the application of traditional Balinese dance learning. The test results that have been carried out using SUS are in Grade B.
Large-Scale Wireless-Powered Networks With Backscatter Communications—A Comprehensive Survey

Massive and ubiquitous deployment of devices in networks of fifth generation (5G) and beyond wireless has necessitated the development of ultra-low-power wireless communication paradigms. Recently, wireless-powered networks with backscatter communications (WPN-BCs) has been emerged as a most prominent technology for enabling large-scale self-sustainable wireless networks with the capabilities of RF energy harvesting (EH) and of extreme low power consumption. Therefore, we provide a comprehensive literature review on the fundamentals, challenges and the on-going research efforts in the domain of WPN-BCs. Our emphasis is on large-scale networks. In particular, we discuss signal processing aspects, network design issues and efficient communication techniques. Moreover, we review emerging technologies for WPN-BCs to bring about the best use of resources. Some applications of this innovative technology are also highlighted. Finally, we address some open research problems and future research directions.
Glucose Overload Inhibits Glutamatergic Synaptic Transmission: A Novel Role for CREB-Mediated Regulation of Synaptotagmins 2 and 4

Glucose metabolism derangement is critically involved in the age-related memory loss but the underlying molecular mechanisms are still poorly understood. In a mouse model of type 1 diabetes we found memory impairment associated with inhibition of the transcription factor CREB and alteration of pre- and post-synaptic protein expression in the hippocampus. Accordingly, glucose excess negatively affected activity-dependent CREB phosphorylation and CREB-mediated mRNA expression of synaptic proteins in hippocampal primary neurons. Specifically, glucose excess inhibited the activity-dependent recruitment of CREB on the regulatory sequences of synaptotagmin (SYT) 2 and 4 promoters and the expression of SYT4 protein. As a result, high glucose affected both the frequency of miniature excitatory postsynaptic currents and NMDA receptor-mediated currents in autaptic hippocampal neuronal cultures. Collectively, our findings highlight novel mechanisms underlying hyperglycaemia-related memory loss, including CREB-dependent downregulation of synaptotagmin expression.
Analysis of the Interstrand and Strand/Connector Resistance Relations in Wire Connection Systems

The basic function of wire connection systems is to assure a low resistance and a stable long-term electromechanical connection. The quality of this connection is determined by the quality of a large number of electromechanical interstrand and strand/connector contacts. The aim of this study is to analyze the parameters that influence the performance of wire connection systems with a new measurement method. A detailed analysis enables a deeper understanding and provides extended information about the inner electromechanical connection behavior. This analysis method can be used both for the fundamental research and the optimization of wire connection systems design. Hexagonal crimp connections with different wire surface conditions were analyzed. Furthermore, a numerical calculation method is introduced to describe the performance of wire connection systems in order to gain a deeper understanding of the results.
Channel-Aware Potential Field Trajectory Planning for Solar-Powered Relay UAV in Near-Space

The near-space communication relay platform has a broad application prospect and development potential in the field of over-the-horizon communication support. In this paper, we investigate a throughput oriented, real-time path planning method for the high-altitude Solar-Powered UAV (SP-UAV) to ensure high quality communication of long-range mission UAVs. Firstly, based on the spatial distribution, the Channel State Information (CSI) and the potential field theory, we design the channel-aware-aided relay SP-UAV which is capable of adaptively changing its position, while maximizing the total throughput of the communication system. Secondly, in the feedback loop design, a cooperative game theory model is introduced to formulate a feedback-aided strategy for adjusting the weighting factors, which can further improve the whole communication performance. Specifically, to ensure the real-time performance, a low complexity algorithm and the real-time updated system conditions are applied in calculating the planning trajectory of the relay UAV. Simulation results show that compared with the relay UAV with a fixed cruise trajectory, our proposed scheme achieves better network throughput and has good tracking adaptability.
Dynamic Early Dirty Buffer Flush to Reduce Miss Penalty in Solid-State Drives

The design of high-performance solid-state drives (SSDs) have been conducted intensively for various server-based applications, and one of the most popular methods is to use internal memory as cache for NAND flash memory. This study aims to improve the average response time of I/O requests by reducing cache miss penalty. The main idea is to eliminate the dirty buffer flush time on a cache miss. Hence, the proposed policy preferentially replaces a clean buffer on a cache miss and reserves sufficient clean buffers by flushing dirty buffers in advance if the dirty buffers account for more than the threshold of the total buffers. This early flush is performed at an idle time to avoid interfering with foreground requests. The increase in NAND write operations, a side effect of the early flush, is limited by periodically adjusting the threshold considering the frequencies of a rewrite after the early flush and of a dirty buffer replacement. Consequently, the proposed policy reduces the average response time by 68.4%–92.0% compared with a CFLRU, with NAND writes increased by −0.4%–6.6%. Compared with a PRLRU, the average response time is reduced by 62.5%–92.0%, with NAND writes increased by 1.1%–6.9%. The result shows that the early flush can significantly improve the responsiveness of SSDs with nonvolatile memory or battery packed memory. A further analysis is required to verify the effect of early flush in SSDs with volatile memory.
Alexithymia and Inflammatory Bowel Disease: A Systematic Review

Background: Given the role of alexithymia—as the inability to identify, differentiate, and express emotions—in chronic and immune-mediated illness, this systematic review analyzed the prevalence of alexithymia in patients with inflammatory bowel diseases (IBDs), mainly represented by Crohn's disease (CD) and ulcerative colitis (UC). Methods: Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed throughout this systematic review of the literature published between 2015 and 2020 in indexed sources from PubMed, PsycINFO, Scopus, and Web of Science databases. Search terms for eligible studies were: “Inflammatory bowel disease” AND “Alexithymia” [Titles, Abstract, Keywords]. Inclusion criteria were: articles written and published in English from 2015 and up to April 2020, reporting relevant and empirical data on alexithymia and IBD. Results: The initial search identified 34 indexed scientific publications. After screening, we found that five publications met the established scientific inclusion criteria. Overall, the mean value of alexithymia ranged from 39 to 53.2 [Toronto Alexithymia Scale (TAS-20) score], thus mostly falling in non-clinical range for alexithymia (≤51). Comparisons of alexithymia between patients with UC and CD highlighted that patients with CD showed externally oriented thinking and difficulties identifying feelings to a greater extent. Regarding comparisons with other samples or pathologies, patients with IBD were more alexithymic than healthy controls and less alexithymic than patients with major depressive disorder, but no difference was found when compared with patients with irritable bowel syndrome (IBS). Then, regarding correlations with other variables, alexithymia was positively associated with anxiety and depression, as well as with psychopathological symptoms and somatic complaints. Conclusion: This systematic review suggests that patients with IBD cannot be generally considered alexithymic at a clinically relevant extent. However, their greater alexithymic levels and its associations with psychological variables and somatic distress may suggest a reactivity hypothesis, in which living with IBD may progressively lead to impaired emotion recognition over time. Specifically, the relationship between IBD and IBS should be further explored, paying deeper attention to the clinical psychological functioning of CD, as IBD requires more emotional challenges to patients.
A Multidimensional View on Social and Non-Social Rewards

Social rewards are a broad and heterogeneous set of stimuli including for instance smiling faces, gestures, or praise. They have been widely investigated in cognitive and social neuroscience as well as psychology. Research often contrasts the neural processing of social rewards with non-social ones, with the aim to demonstrate the privileged and unique nature of social rewards or to examine shared neural processing underlying them. However, such comparisons mostly neglect other important dimensions of rewards that are conflated in those types of rewards: primacy, temporal proximity, duration, familiarity, source, tangibility, naturalness, and magnitude. We identify how commonly used rewards in both social and non-social domains may differ in respect to these dimensions and how their interaction calls for careful consideration of alternative interpretations of observed effects. Additionally, we propose potential solutions on how to adapt the multidimensional view to experimental research. Altogether, these methodological considerations aim to inform and improve future experimental designs in research utilizing rewarding stimuli, especially in the social domain.
Impact of Circuit Parameters on Input Impedance of 433.92MHz ISM Band RF Rectifiers

RF energy harvesters are popular energy source for Internet of Things (IoT) cloud edge devices and also as core circuit of IoT wake-up radio sub-system. Design methodology to estimate input impedance of multi-stage classical Dickson RF rectifiers based on computer transient simulation is proposed. The impact of various design component parameters on rectifiers’ input impedance based on TSMC 0. 35μm CMOS technologies is discussed subsequently. The data provided in this paper can guide circuit designer to gauge the non-linearity behavior of input impedance, before designing the corresponding impedance matching network for the RF rectifier under different conditions to ensure maximum output voltage and power conversion efficiency.
Boron stress, oxidative damage and antioxidant protection in potato cultivars (Solanum tuberosum L.)

ABSTRACT Six potato cultivars grown in Turkey in boron-prone areas and differing in their tolerance towards high boron were studied to reveal whether boron causes oxidative stress. To assess stress level, chlorophyll fluorescence and growth parameters were measured. Oxidative damage was assessed as malondialdehyde level, and antioxidant protection was evaluated as ascorbate (AA), dehydroascorbate, reduced glutathione (GSH) and oxidized glutathione amounts and superoxide dismutase, catalase, ascorbate peroxidase (APX) and glutathione reductase (GR) activities. High boron stress affected photosynthesis negatively in a threshold-dependent manner and inhibited growth. No pronounced changes in oxidation of lipids occurred in any cultivar. Activation of APX suggested the involvement of an ascorbic acid–reduced glutathione cycle in the protection against oxidative stress caused by high boron. Efficient work of this antioxidant system was probably hindered by boron complexation with NAD(P)+/NAD(P)H and resulted in the inhibition of GR and a decrease in AA and GSH. Hence, oxidative stress associated with high boron is a secondary component of boron toxicity which arises from metabolic changes caused by boron interference with major metabolites. Potato cultivars tolerate excess boron stress well and show damage only in very high boron concentrations. The potato cvs best suited for high boron soils/breeding purposes are cvs Van Gogh and Agria. Abbreviations: AA: ascorbic acid; APX: ascorbate peroxidase; CAT: catalase; DHA: dehydroascorbic acid; DHAR: dehydroascorbate reductase; DTNB: 5; 5′-dithiobis-2-nitrobenzoic acid; DTT: dithiotreitol; Fv/Fm: photosynthetic efficiency at the dark-adapted state; GR: glutathione reductase; GSH: reduced glutathione; GSSG: oxidized glutathione; MDA: malondialdehyde; ROS: reactive oxygen species; SOD: superoxide dismutase; TCA: trichloroacetic acid
Design and Characterization of Mobile Landslide Monitoring System

Landslides are natural disasters which have forced us to prepare with major mitigation efforts. One such effort is the development and implementation of the landslide monitoring system (LMS). Most LMSs are installed permanently in landslide-prone locations for long-term monitoring purposes. In this paper, the design of a mobile LMS with high flexibility feature is presented. The proposed system comprises a mobile gateway, mobile tiltmeter sensors, and mobile extensometer sensors, in which they are configured to form a wireless sensor network. In this work, the sensor’s behavior and communication performance between sensors and gateway are characterized. Experimental results show the linear responses of both tiltmeter and extensometer sensors. While reliable communication between sensors and gateway are obtained for the maximum range of 168 m on the line-of-sight condition, and 160 bytes data payload.
Experimental Study of the Influence of Some Parameters on the Characteristics of Hybrid Electromagnetic System with Magnetic Flux Modulation

Experimental study of a prototype of hybrid electromagnetic system with magnetic flux modulation is carried out with specially assembled control and measurement circuits. Also, software algorithm and computer graphical interface for controlling of the system and for visualisation of the achieved results have been developed. Results are obtained for the current through the coils and for the changes of the magnetic flux. Two different measurement sensors are used in order to verify the accuracy of the results for the current through the coils,
End-to-End Delay Minimization-Based Joint Rule Caching and Flow Forwarding Algorithm for SDN

Software-defined networking (SDN) technology is expected to offer higher flexibility and programmability and enhanced transmission performance by decoupling control plane from data plane and enabling centralized network management. In SDN, switches may cache a certain number of flow forwarding rules, so that user flows can be forwarded accordingly. In this article, stressing the limited caching space of switches and the heterogeneous transmission performance of switches and links, we jointly design rule caching and flow forwarding strategy for multiple user flows in SDN. To emphasize the importance of the end-to-end delay caused by the transmission and processing of user flows in both the data plane and control plane, we formulate the joint optimization problem as an end-to-end delay minimization problem. As the original optimization problem is a non-deterministic polynomial hard (NP-hard) problem, which cannot be solved directly, we propose a heuristic algorithm which successively solves three subproblems, i.e., flow forwarding subproblem, rule caching and candidate path selection subproblem, and resource sharing subproblem. By applying the K-shortest path algorithm, a priority-based rule caching algorithm, and Lagrangian dual method, respectively, the three subproblems are solved and the joint rule caching and flow forwarding strategy is obtained. Simulation experiments are conducted to examine the effectiveness of the proposed algorithm, and the results indicate that our proposed algorithm is capable of improving system performance by about 20% compared with the previous solutions.