Miracle-dz/UniFAR-FTUs huggingface dataset:
Development of a Physics-Informed Doubly Fed Cross-Residual Deep Neural Network for High-Precision Magnetic Flux Leakage Defect Size Estimation

Defect depth is an essential indicator in magnetic flux leakage (MFL) detection and estimation. The quantification errors for defect depth are closely related to length and width errors, and this feature has always been used to support the operator's judgment in defect identification. However, the existing defect quantification algorithms based on shallow and deep neural networks only employed simple general network structures inspired by the field of artificial intelligence; consequently, these network structures lack the support of physical concepts and result in large quantification errors regarding defect size, especially depth. In this article, to describe and integrate the above theory into a deep neural network, we propose a physics-informed doubly fed cross-residual network (DfedResNet) suitable for MFL defect detection based on deep learning. Physics-based MFL defect quantification theory is studied and integrated into loss functions during the neural network training. DfedResNet quantifies defects in MFL data and automatically extracts deep features of defects. The experimental results show that it effectively achieves high-precision quantification of defect length, width, and depth simultaneously, especially defect depth. Moreover, it considers data from all three dimensions during network training, and use the originally measured magnetic signal data in place of recognized images to avoid defect information loss and further improve the quantification accuracy. The deep DfedResNet model proposed in this article reduces defect length and width quantification errors to within 0.3 mm and defect depth quantification errors to within 0.4% t. In addition, compared with other network structures and traditional algorithms, DfedResNet improves defect quantification accuracy by 1–2 orders of magnitude and thus achieves a high quantification performance.
Trajectory and Resource Optimization in OFDM-Based UAV-Powered IoT Network

The Internet of Things (IoT) is playing an increasingly vital role in multiple industries and our everyday life. A pressing practical problem of IoT devices (IoT-Ds) is their explosive growth of connectivity which leads to large energy consumption. One of the most promising solutions to achieve a sustainable green IoT network is unmanned aerial vehicle (UAV) enabled wireless power transfer (WPT) due to its flexibility, mobility and cost advantage. In this paper, we propose an UAV-powered IoT network based on Orthogonal Frequency Division Multiplexing (OFDM). In the proposed network, two ground nodes (GNs) are powered by two UAVs through down link WPT. In the uplink, the data collected by GNs are transmitted to the corresponding UAVs with the harvested energy by utilizing orthogonal subcarriers, which can effectively avoid the interference. UAVs’ trajectories and resource allocation are optimized to maximize the sum average transmission rate of two GNs while ensuring the minimum average transmission rate of each GN. In this paper, we utilize successive convex programming (SCP) technique to solve the proposed optimization problem. Simulation results show that our proposed scheme achieves larger sum average transmission rate than the benchmark schemes.
Theoretical Prediction of P-Triphenylene-Graphdiyne as an Excellent Anode Material for Li, Na, K, Mg, and Ca Batteries

The efficient performance of metal-ion batteries strongly depends on electrode materials characteristics. Two-dimensional (2D) materials are among promising electrode materials for metal-ion battery cells, owing to their excellent structural and electronic properties. Two-dimensional graphdiyne has been recently fabricated and revealed unique storage capacities and fast charging rates. The current study explores the performance of the novel phosphorated-triphenylene graphdiyne (P-TpG) monolayer as an anode material for Li-, Na-, K-, Mg-, and Ca-ions storage via extensive density functional theory (DFT) simulations. Our results reveal that the stable structure of P-TpG monolayers delivers ultra-high storage capacities of ~2148, ~1696, ~1017, and ~2035 mA·h·g−1 for Li-, Na-, K-, and Ca- ions, respectively. Notably, the metallic electronic behavior is illustrated by adsorbing metal-ions on the P-TpG nanosheets, suggesting a good electronic conductivity. The NEB results demonstrate that P-TpG can serve as an outstanding candidate for the optimal charging/discharging process. This theoretical study suggests P-TpG nanosheets as a highly promising candidate for the design of advanced metal-ion batteries with remarkable charge capacities and optimal charging/discharging rates.
Current trends in land subsidence of the North-Central part of Poland using DInSAR technique

The gradual change in the Earth’s surface elevation is known as land subsidence and it happens due to natural causes related to geological activities, such as sinkholes, or induced causes related to human activities, such as mining activities, or both. The historical records of land subsidence show that it is mainly related to human activities with damages of more than billions of dollars every year. This paper shows the current trends of land subsidence case of the North-Central part of Poland using the Differential Interferometric Satellite Aperture Radar (DInSAR) technique. That region is known as the extension of the oil and gas reservoir of the Baltic Sea and one of the most populated areas in Poland. This technique uses SAR data images from the sentinel-1A mission of the same area, taken on April 25, 2018 and April 26, 2020, in order to measure the surface changes between these time intervals. Thus, a two-year land subsidence map of that region has been created, with maximum subsidence of -85mm. There is no significant subsidence in the production area, but information on the population supports the alleged reasons for such subsidence, namely the infrastructure growth and the need for water resources. Besides, most of the occurred subsidence in the concerned area is concentrated in big cities such as Gdansk and Gdynia. Such result is very important for policymakers, especially concerning the sustainable development goals
Prevalence of posttraumatic stress disorder among adolescents in school and its impact on their well-being: a cross-sectional study

Introduction anyone can develop posttraumatic stress disorder (PTSD) following a traumatic event; this disorder can develop comorbid PTSD disorders such as anxiety and depression, which could seriously interfere with the daily life of the adolescent who was to be the subject of our study by evaluating the prevalence of PTSD in public schools and also evaluating the impact of this disorder. Methods the survey was carried out during the period from March to June 2017. Participants were selected for a cross-sectional survey. Standardized questionnaires (life events checklist, CPTS-RI, STAIY and CDI) were used. The independent variables were investigated using binary logistic regression analyzes which were performed to investigate factors associated with PTSD. Results the number of students was 982 adolescents with an age of 12 to 17 years (14.98 ± 1.49) and the participation rate was 88.69% (n = 871). A high prevalence of PTSD was found with 19.3% (n = 168). The factors independently associated with PTSD included being a girl (adjusted odds ratio (AOR) =2.113, 95% C.I =1.015-4.399, p=0.046), having a middle school level (AOR =5.765, 95% C.I =2.262-14.692, p<0.0001), sleep interrupted (AOR =0.142, 95% C.I =0.027-0.745, p=0.021), guilt (AOR =27.378, 95% C.I =6.835-109.663, p<0.0001), difficulties of memory (AOR =0.157, 95% C.I = 0.071-0.346, p<0.0001), and difficulties of concentration (AOR =0.041, 95% C.I = 0.004-0.392, p=0.006). Among adolescents in school with PTSD, anxiety had 79.1% (n = 133) and depression had 51.1% (n = 86). Conclusion the prevalence of PTSD and comorbid anxiety and depression was high among educated students. Factors associated with PTSD included being in college, being a girl, and having guilt. It is necessary to adapt suitable treatments immediately after a traumatic event or during the disease.
Beyond CPRA: Identifying Sensitized Kidney Candidates with Markedly Low Access to Deceased Donor Transplantation by Granular CPRA and Blood Type

Prioritization in the US Kidney Allocation System (KAS) has led to an improvement in the rates of transplantation in highly sensitized (HS) patients. However, there is a subset of HS patients who are at a disadvantage, despite prioritization under KAS. The purpose of this study was to describe the transplant rate (TR) by calculated panel reactive antibody (CPRA) of HS candidates before and five years post-KAS to characterize their access to deceased donor transplants and quantify the number of HS candidates who are at a marked disadvantage in accessing kidneys. Using de-identified OPTN data, the number of solitary deceased donor kidney transplants performed (by month) from June 2013 through December 2019 was analyzed for four CPRA groups (95–97%, 98%, 99%, and 100%), with the CPRA 100% group further stratified into two subgroups (99.5–99.9% and >99.9%). The impact of the recipient blood group was assessed as an additional factor in TR. Immediately after KAS, TR rose 7-fold from 0.26% to 1.7% for the CPRA 99–100% group as a whole, and 12-fold and 8-fold for the CPRA 99.5–99.9% and CPRA 99.9%+ groups, respectively. However, the post-KAS mean TR of 0.63% for CPRA 99.9%+ candidates remained markedly lower than the mean TR of the other sensitized groups: 1.5% for CPRA 95–97%, 1.4% for CPRA 98%, 2.0% for CPRA 99%, and 3.5% for CPRA 99.5–99.9%; a statistically significant 6-fold advantage of the CPRA 99.5–99.9% group over CPRA 99.9%+ candidates was observed, despite both groups receiving national priority under KAS. Patients with a CPRA of 99.9%+ and blood group B were 2.16, 1.98, and 1.75 times less likely to receive a transplant compared to the same CPRA group with blood groups A, AB, and O, respectively, despite changes to KAS allocating blood type A2 and A2B to recipients with blood group B. Although the TR increased sharply for the CPRA 99.9%+ group with KAS, it remained markedly lower than the average despite national priority.
A Multilayered SIW-Based Circularly Polarized CRLH Leaky Wave Antenna

In this article, a multilayered circularly polarized (CP) leaky-wave antenna (LWA) is proposed, based on the composite right/left-handed (CRLH) transmission line concept. The proposed design is composed of a substrate integrated waveguide (SIW) structure and its multilayered unit cell consists of H-shaped interdigital (ID) slots on the top with a truncated patch, sandwiched between the two substrates. Circular slots are introduced periodically on the ground plane to achieve wideband circular polarization. Proposed CRLH SIW-based LWA shows the capability of continuous beam scanning from −38° to +71° within the frequency range of 7.6–10.6 GHz while maintaining good circular polarization in the frequency range of 8.3–10.6 GHz. The peak gain of the proposed LWA is 10 dB and the average radiation efficiency is 86.1% over the complete impedance bandwidth. The measured results of the fabricated prototype are in good agreement with the simulated ones. The proposed antenna can be used for $X$ -band radar and satellite applications.
Isolation and identification of 18 unrecorded prokaryotic species from the intestinal tracts of aquatic animals in Korea

Since the adoption of the Convention on Biological Diversity (CBD) at the United Nations Conference on Environment and Development (UNCED) in 1992, the urgency of conserving biodiversity and protecting biologi­ cal resources is being globally realized. Furthermore, in 2010, the Nagoya Protocol was adopted by the CBD given the growing economic value of the genetic resources de­ fined as “genetic material of actual or potential value. ” Hence, understanding indigenous biodiversity is essential to appropriate protection of a nation’s sovereign rights over biological resources. Owing to its wide­ranging potential functional capacities (Qin et al., 2010), the microbiome has received most atten­ tion as a biological resource. In particular, the gut micro ­ biome is considered crucial because it has been shown to be closely related to host health (Shin et al., 2014), devel­ opment (Koropatnick et al., 2004), and reproductive beha­ vior (Sharon et al., 2010). However, bacterial members that comprise the gut microbiome of Korean wildlife have not yet been fully studied. We aimed to identify domesti­ cally unrecorded bacterial species from the gastrointestinal tracts of Korean aquatic animals, including fish, crusta­ ceans, and insects, using a culture­dependent isolation method. Furthermore, using the 16S rRNA gene sequence­ based identification, we isolated 18 strains previously un­ recorded in South Korea belonging to the phyla Actino­ bacteria, Bacteroidetes, Firmicutes, and Proteobacteria.
Design and Simulation-Based Parametric Studies of a Compact Ultra-Wide Band Antenna for Wireless Capsule Endoscopy System at Inside Body Environment

This paper focuses to design a compact (110mm3) Ultra-Wide Band (UWB) (3.1GHz to 10.6GHz) antenna, which covers almost the whole 10dB impedance matching bandwidth of the UWB range. Two of the main specialties of this article over other related articles are its antenna’s wider bandwidth (approx. 7.3GHz) and antenna’s simulation environment. No other papers consider such a realistic model to simulate their antenna, before. Due to its wider bandwidth, this antenna can be employed in the Wireless Capsule Endoscopy (WCE) system, which mainly requires a high-speed real-time data transfer-capable antenna. The antenna was examined inside simplified human Gastrointestinal (GI) tract phantoms (Colon, Esophagus, Small Intestine and Stomach) as well as the human Voxel GI tract model by maintaining proper tissue properties for the sake of accurate parametric results. Biocompatible material polyimide was used to construct the capsule wall to fulfill the system’s biocompatibility. In the result analysis part, the proposed antenna’s SAR (Specific Absorption Rate) or electromagnetic energy amount, consumed by near-side body tissue was considered and found in the acceptable region, according to Federal Communication Commission (FCC)’s regulation. Also, other crucial antenna parameters such as VSWR, reflection coefficient, radiation characteristics, efficiencies, directivity and surface current density were adoptable compare to other related articles. The Finite Integration Technique (FIT) of CST Microwave Studio Suite 2020 was used to investigate the antenna
Some notes about chords estimation from audio

Here are some notes about my work on chord detection from audio at the University of Tokyo this summer. An acoustic model is first made from audio. It is based on chroma vectors extraction. Language models are then used along with it in order to get the most likely sequence of chords. I have previously been working on probabilistic modeling of chord sequences using the n-gram model, and the present work is an attempt to improve the detection using such language models.
Towards Alleviating Counterproductive Work Behaviour: A Soul Leadership View

This article intends to examine the role of psychological empowerment and spiritual leadership towards alleviating counter productive work behaviours (CPWB). The modern organizations do not rely on sole leadership any more, but the spiritual leadership. The present study focuses on two constructs falling under the rubric of soul leadership, i.e., employee empowerment and spiritual leadership in order to alleviate counterproductive work behaviour. In line with the environment of call centres, these two constructs based on Conservation of Resources Theory are considered sufficient to address the issue in question. Data were collected from a convenient sample of call agents working in call centres located in twin cities of Pakistan i.e., Rawalpindi and Islamabad. A total of 350 respondents were sent questionnaire where usable questionnaires were 302. Structural equation modelling technique was used to test the hypotheses. Results revealed negative and significant relationship between spiritual leadership, psychological empowerment and CPWB. Finally the implications and suggestions for future research are provided.
Low-Noise High-Precision Readout Circuits for Capacitive MEMS Accelerometer

Low-Noise High-Precision Readout Circuits for Capacitive MEMS Accelerometer Kuilian Yang Over the past two decades, Micro-Electro-Mechanical System (MEMS) based accelerometers, benefiting from relatively simple structure, low-power consumption, high sensitivity, and easy integration, have been widely used in many industrial and consumer electronics applications. For the high precision accelerometers, a significant technical challenge is to design a low-noise readout circuit to guarantee the required high resolution of the entire integrated system. There are three main approaches for improvement of the noise and offset of the readout circuit, namely auto-zero (AZ) and correlated double sampling (CDS) for the switchedcapacitor (SC) circuit and chopper stabilization (CHS) for the continuous-time circuit. This thesis investigates the merits and drawbacks of all three techniques for reading the capacitance of a low noise MEMS accelerometer developed in our group. After that, we compare the different effects of the three technologies on noise, offset, output range, linearity, dynamic range, and gain. Next, we present the design of the most suitable structure for our sensor to achieve low noise, low offset, and high precision within the working frequency. In this thesis, the design and post-layout simulation of the circuit is proposed, and the fabrication is currently in progress. The readout circuit has reached the noise floor of the sub-μg, which meets the strict requirements of low noise MEMS 5 capacitance-to-voltage converter. A high-performance accelerometer system is regarded as the core of a low-noise, high-resolution geophone. We show that together with the MEMS accelerometer sensor, the readout circuit provides competitive overall system noise and guarantees the required resolution.
http://ijere.iaescore.com The cloud computing systems’ adoption in the higher education sector in Oman in light of the COVID-19

Info 2021 The objective of the research was to find out the key factors that influence the acceptance and usage of cloud computing systems in the Omani higher education sector, with special emphasis on the COVID-19 outbreak. For this purpose, a quantitative research approach was conducted where 200 students from several Omani higher education institutions were surveyed, and by using Partial Least Square (PLS) to analysis the collected data. The findings revealed that the intention to use cloud computing in this context is significantly dependent on its perceived ease of use, usefulness, perceived reliability and responsiveness. It is noteworthy that this is one of the early studies that address the subject of cloud computing usage during times of crises, and specifically the COVID-19 outbreak. As such, it provides significant contributions in the area of technology that cause the adoption and usage of cloud computing system Taiwan. The study used a combination of the Technology Acceptance model (TAM), Diffusions Innovation Theory (DIT), and the Theory of Planned Behavior (TPB). The study included a total sample of 1,069 individuals from different sectors and different backgrounds and used Structural Equation Modelling (SEM) approach for data analysis. Their findings showed that perceived ease of use, compatibility, perceived usefulness, and attitude have a significant positive influence on behavioral
Effects of cement organic additives on the adsorption of uranyl ions on calcium silicate hydrate phases : experimental determination and computational molecular modelling

Cementitious materials are extensively used in the design and construction of radioactive waste repositories. One of the ways to enhance their performance is to introduce organic admixtures into the cement structure. However, the presence of organics in the pore water may affect the radionuclide mobility: organic molecules can form water-soluble complexes and compete for sorption sites. This work was designed to get detailed understanding of the mechanisms of such interactions on the molecular level. The model system has three components. First, pure C-S-H phases with different Ca/Si ratios were chosen as a cement model. Secondly, gluconate (a simple well-described molecule) is selected as a good starting organic additive model to probe the interaction mechanisms on the molecular scale. A more complex system involving polycarboxylate superplasticizer (PCE) was also tested. The third, U (VI), is a representative of the actinide radionuclide series. The development of description of the effects of organics for radioactive waste disposal applications was the primary objective of this work. The study of binary systems provides reference data for the investigation of more complex ternary (C-S-H/organic/U(VI)). The interactions are studied by means of both experimental and computational molecular modelling techniques. Data on sorption and desorption kinetics and isotherms for additives and for U (VI) on C-S-H are acquired in this work. In parallel, atomistic models are developed for the interfaces of interest. Structural, energetic, and dynamic aspects of the sorption processes on surface of cement are quantitatively modeled by molecular dynamics technique.
CHARACTERIZATION OF THE MOST PROMISING FRACTION OF Swietenia macrophylla ACTIVE AGAINST MYOTOXIC PHOSPHOLIPASES A2: IDENTIFICATION OF CATECHIN AS ONE OF THE ACTIVE COMPOUNDS

Background: The pharmacological effects produced by snakebite accidents involve the actions of several enzymes, of which those of the phospholipases A2 (PLA2) exhibit a wide variety of effects such as edema and myotoxicity. Some plant extracts have been antagonists of crude snake venoms and toxins. Based on promising bioactivity, Swietenia macrophylla King was selected for further studies. Objective: The purpose of this study was to identify the PLA2 inhibitors present in the crude extract of S. macrophylla that could be promising leads in neutralizing the local effects of ophidian accidents. Methods: Bioassay-guided fractionation of the ethanolic extract of the leaves of S. macrophylla lead to the detection of (+)-catechin, characterized through gas chromatography coupled with mass spectrometry (GC-MS), and confirmed by HPLC. The PLA2 inhibitory activity was measured with the Dole method and a spectrophotometric assay with 4-Nitro-3-octanoyloxy-benzoic acid (4N3OBA). Cytotoxicity was done on C2C12 murine myoblast. Results: Fraction F5 and (+)-Catechin inhibited the PLA2 activity of B. asper venom, in a dose-dependent way. In addition, (+)-Catechin showed an inhibition level of 83.1 ± 3.1 % of the enzymatic activity of one PLA2 purified from the venom of Crotalus durissus cumanensis using 4N3OBA as substrate. Also the ethanolic extract and fraction F5 showed inhibition of the cytotoxicity induced by the Bothrops atrox venom and their Lys 49 PLA2 (80 and 100% respectively). Molecular docking results suggested that that OH from 4´ and 5’ carbons of (+)-catechin could form hydrogen bonds with carboxylate moiety of residue Asp49, while OH from 5 could form a hydrogen bond with Asn 6. Additional Van der Waals interactions were also proposed. Conclusion: Swietenia macrophylla exhibited strong inhibitory activity against PLA2s enzymes. Catechin, the most abundant metabolite in the active fraction F5, is proposed as one of the compounds responsible for the bioactivity.