Miracle-dz/UniFAR-FTUs huggingface dataset:
An Optimized Hybrid Deep Learning Model to Detect COVID-19 Misleading Information

Fake news is challenging to detect due to mixing accurate and inaccurate information from reliable and unreliable sources. Social media is a data source that is not trustworthy all the time, especially in the COVID-19 outbreak. During the COVID-19 epidemic, fake news is widely spread. The best way to deal with this is early detection. Accordingly, in this work, we have proposed a hybrid deep learning model that uses convolutional neural network (CNN) and long short-term memory (LSTM) to detect COVID-19 fake news. The proposed model consists of some layers: an embedding layer, a convolutional layer, a pooling layer, an LSTM layer, a flatten layer, a dense layer, and an output layer. For experimental results, three COVID-19 fake news datasets are used to evaluate six machine learning models, two deep learning models, and our proposed model. The machine learning models are DT, KNN, LR, RF, SVM, and NB, while the deep learning models are CNN and LSTM. Also, four matrices are used to validate the results: accuracy, precision, recall, and F1-measure. The conducted experiments show that the proposed model outperforms the six machine learning models and the two deep learning models. Consequently, the proposed system is capable of detecting the fake news of COVID-19 significantly.
Multilayer out-of-plane overlap electrostatic energy harvesting structure actuated by blood pressure for powering intra-cardiac implants

We present an innovative multilayer out-of-plane electrostatic energy harvesting device conceived in view of scavenging energy from regular blood pressure in the heart. This concept involves the use of a deformable packaging for the implant in order to transmit the blood pressure to the electrostatic transducer. As shown in previous work, this is possible by using thin metal micro-bellows structure, providing long term hermeticity and high flexibility. The design of the electrostatic device has overcome several challenges such as the very low frequency of the mechanical excitation (1 to 2 Hz) and the small available room in the medical implant. Analytical and numerical models have been used to maximize the capacitance variation, and hence to optimize the energy conversion. We have theoretically shown that a 25-layer transducer with 6-mm diameter and 1-mm thickness could harvest at least 20 mJ per heart beat in the left ventricle under a maximum voltage of 75 V. These results show that the proposed concept is promising and could power the next generation of leadless pacemakers.
Influence of UTCP on the employment of female workers and the supply of labor force

In recent years, China has introduced the Universal Two-Child Policy (UTCP), which means that a couple can have two children. The implementation of this policy may affect female employment. Based on this background, this work aims to the impact of UTCP on the number and employment of Chinese women workers, and find out the countermeasures for the adverse impact of the policy. Firstly, the role of the Propensity Score Matching-Differences in Differences model is introduced, and the average and dynamic effects of UTCP on women’s employment are discussed by using the Propensity Score Matching model. Secondly, the survey data on issues related to female employment after the implementation of UTCP from 2016 to 2020 is analyzed. Finally, a conclusion is drawn according to the survey data. The results demonstrate that the implementation of UTCP widens the income gap between men and women. Meanwhile, the younger the couple, the greater the income gap. Besides, the unemployment rate changes slightly after the introduction of the policy. As the growth rate of female income is significantly lower than that of men of the same age, UTCP has little impact on the employment of Chinese female workers, but has a great impact on the quality of employment. Among all the respondents, the proportion of employed men is higher than employed women, which is about 64% ~ 65%. However, it is still unknown whether age, education, family characteristics, nationality, occupations, and economic development of the province have a certain impact on female income, which is worth noting by follow-up research. On the whole, the full liberalization of the second child has little impact on the employment of female workers in China, but has a great impact on the quality of employment. The present work lays a foundation for the study of the impact of UTCT on female employment in future, and offers a certain reference for the further study of the impact of the policy on employment in the future.
Influence of rotor configuration on iron and magnet losses of fractional-slot IPM machines

This paper investigates the influence of different permanent magnet (PM) rotor configurations, viz. the I-shape and V-shape interior PM (IPM) and surface-mounted PM (SPM), on the iron and magnet losses of the fractional-slot PM machines under both constant torque and flux weakening operation. The investigation shows that generally fractional-slot IPM machines have greater iron loss than SPM machines. However, the magnet loss of such topology is smaller, since their magnets are shielded by the rotor iron. The V-shape IPM machine exhibits the lowest magnet loss, because each magnet pole is formed by two pieces. Also, the magnet segmentation in both IPM and SPM machines can significantly reduce the magnet loss. Relatively this reduction is more significant in the IPM machine.
Application of RFID Technology in Development Smart Home and Traffic System

Smart Home is a versatile technology system family residential platform, the use of advanced computer technology and network technology, the families in a variety of electrical equipment connected together through some form of network. RFID can also be divided into active tags and passive tags. An active tag with RF energy initiative to give the reader sends data main obstacles applications; passive tags using modulated backscatter emission data. The paper puts forward the application of RFID technology in development Smart Home and Traffic System. The application of intelligent transportation systems in urban transport is by increasing the effective use and management of traffic information to improve the efficiency of the transportation system.
Analysis and Modelling towards Hybrid Piezo‐Electromagnetic Vibrating Energy Harvesting Devices

The efficiency of mobile electrical devices increased over the last years. Self‐supply by harvesting ambient energy became a possibility of reducing operational costs by ruling out the need of battery replacement.Many energy harvesting devices employ cantilever configurations with base excitation to increase the effective displacement. The proposed design extends this design with an electromagnetic harvesting device (EMH) placed at its tip. It features an alternating stack of magnets with opposing poles and discs of highly permeable material. The composite cylinder is encircled by coils. This EMH design has successfully been employed for ocean wave harvesting and vehicle suspension systems. Its efficiency with respect to mass and energy output is compared to a previously published design using a single magnet placed at the tip moving within a coil.There exists proof that combining readily available technologies into a so‐called coupled or hybrid design can increase the efficiency in comparison to respecti.
Cilostazol Versus Aspirin on White Matter Changes in Cerebral Small Vessel Disease: A Randomized Controlled Trial

Supplemental Digital Content is available in the text. Background and Purpose: Cerebral small vessel disease is characterized by progressive cerebral white matter changes (WMCs). This study aimed to compare the effects of cilostazol and aspirin on changes in WMC volume in patients with cerebral small vessel disease. Methods: In a multicenter, double-blind, randomized controlled trial, participants with moderate or severe WMCs and at least one lacunar infarction detected on brain magnetic resonance imaging were randomly assigned to the cilostazol and aspirin groups in a 1:1 ratio. Cilostazol slow release (200 mg) or aspirin (100 mg) capsules were administered once daily for 2 years. The primary outcome was the change in WMC volume on magnetic resonance images from baseline to 2 years. Secondary imaging outcomes include changes in the number of lacunes or cerebral microbleeds, fractional anisotropy, and mean diffusivity on diffusion tensor images, and brain atrophy. Secondary clinical outcomes include all ischemic strokes, all ischemic vascular events, and changes in cognition, motor function, mood, urinary symptoms, and disability. Results: Between July 2013 and August 2016, 256 participants were randomly assigned to the cilostazol (n=127) and aspirin (n=129) groups. Over 2 years, the percentage of WMC volume to total WM volume and the percentage of WMC volume to intracranial volume increased in both groups, but neither analysis showed significant differences between the groups. The peak height of the mean diffusivity histogram in normal-appearing WMs was significantly reduced in the aspirin group compared with the cilostazol group. Cilostazol significantly reduced the risk of ischemic vascular event compared with aspirin (0.5 versus 4.5 cases per 100 person-years; hazard ratio, 0.11 [95% CI, 0.02–0.89]). Conclusions: There was no significant difference between the effects of cilostazol and aspirin on WMC progression in patients with cerebral small vessel disease. Registration: URL: https://www.clinicaltrials. gov; Unique identifier: NCT01932203.
Predistortion Techniques for Multicoupled Resonator Filters (Short Papers)

This paper presents predistorted, Iossy design techniques as applied to general, multicoupled, resonator networks. The analytical procedure predistorts the poles of the transfer function to recover the Iossless passband flatness at the expense of insertion loss. Experimental results on 4- and 6-pole elliptic-function filters confirm the validity of the theory. These techniques should lead to significant system efficiencies in applications such as satellite transponder input multiplexer.
Elastin MIcrofibriL INterfacer1 (EMILIN‐1) is an alternative prosurvival VLA‐4 ligand in chronic lymphocytic leukemia

CD49d, the α4 chain of the VLA‐4 integrin, is a negative prognosticator in chronic lymphocytic leukemia (CLL) with a key role in CLL cell‐microenvironment interactions mainly occurring via its ligands VCAM‐1 and fibronectin. In the present study, we focused on EMILIN‐1 (Elastin‐MIcrofibriL‐INterfacer‐1), an alternative VLA‐4 ligand whose role has been so far reported only in non‐hematological settings, by investigating: i) the distribution of EMILIN‐1 in CLL‐involved tissues; ii) the capability of EMILIN‐1 to operate, via its globular C1q (gC1q) domain, as additional adhesion ligand in CLL; iii) the functional meaning of EMILIN‐1 gC1q/VLA‐4 interactions in CLL. EMILIN‐1 is widely present in the CLL‐involved areas of bone marrow biopsies (BMBs) without difference between CD49d negative and positive cases, displaying at least three different expression patterns: “fibrillar”, “dot‐like” and “mixed”. The lack in CLL‐BMB of neutrophil elastase, whose proteolytic activity degrades EMILIN‐1 and impairs EMILIN‐1 function, suggests full functional EMILIN‐1 in CLL independently of its expression pattern. Functionally, EMILIN‐1 gC1q domain promotes adhesion of CLL cells through specific interaction with VLA‐4, and releases pro‐survival signals for CLL cells, as demonstrated by enhanced ERK and AKT phosphorylation and impairment of in‐vitro‐induced apoptosis. EMILIN‐1/VLA‐4 interaction can efficiently contribute to the maintenance of the neoplastic clone in CLL.
Increasing the accuracy of lifetime predictions from accelerated electromigration tests

As semiconductor technology continues its drive toward smaller geometries and faster speeds, the demands placed on a metal system continue to increase. While conservative design rules may theoretically keep the metal reliability identical over a wide range of geometries, the margin of error becomes increasingly smaller. This increased sensitivity has driven the development of an improved set of test structures designed to increase the amount of information obtained from a metal process evaluation. Data are presented to show inadequacies of the current test methods for assessing metal reliability. A proposal is made for an improved set of metal test structures and test techniques aimed at more accurately evaluating the thermal and current density effects on electromigration, estimating the physical `random defect density' in the metal and for estimating the process variation across a large sample of die, wafers and lots.
Genome-wide association study reveals genetic variants associated with HIV-1C infection in a Botswana study population

Significance The search for genetic variants associated with resistance or susceptibility to HIV/AIDS already yielded insights that allowed developing therapeutics that contribute to dramatic reduction in AIDS-related comorbidities. Unfortunately, nearly all studies focused on European-descent populations, even though most infections happen in Africa. In this genome-wide association study we explored the genetic background of several hundred individuals from Botswana in search of associations with HIV infection. We discovered several genetic variant associations in genes implicated in HIV/AIDS pathogenesis. We also confirmed several associations reported in previous research. This study provides valuable data on the influence of human genetic variation on HIV-1C infection and pathogenesis in southern Africa, a region with the world’s largest number of HIV-1 infections. Although there have been many studies of gene variant association with different stages of HIV/AIDS progression in United States and European cohorts, few gene-association studies have assessed genic determinants in sub-Saharan African populations, which have the highest density of HIV infections worldwide. We carried out genome-wide association studies on 766 study participants at risk for HIV-1 subtype C (HIV-1C) infection in Botswana. Three gene associations (AP3B1, PTPRA, and NEO1) were shown to have significant association with HIV-1C acquisition. Each gene association was replicated within Botswana or in the United States–African American or United States–European American AIDS cohorts or in both. Each associated gene has a prior reported influence on HIV/AIDS pathogenesis. Thirteen previously discovered AIDS restriction genes were further replicated in the Botswana cohorts, extending our confidence in these prior AIDS restriction gene reports. This work presents an early step toward the identification of genetic variants associated with and affecting HIV acquisition or AIDS progression in the understudied HIV-1C afflicted Botswana population.
Mechanical Stress Signaling in Pancreatic Cancer Cells Triggers p38 MAPK- and JNK-Dependent Cytoskeleton Remodeling and Promotes Cell Migration via Rac1/cdc42/Myosin II

Abstract Advanced or metastatic pancreatic cancer is highly resistant to existing therapies, and new treatments are urgently needed to improve patient outcomes. Current studies focus on alternative treatment approaches that target the abnormal microenvironment of pancreatic tumors and the resulting elevated mechanical stress in the tumor interior. Nevertheless, the underlying mechanisms by which mechanical stress regulates pancreatic cancer metastatic potential remain elusive. Herein, we used a proteomic assay to profile mechanical stress–induced signaling cascades that drive the motility of pancreatic cancer cells. Proteomic analysis, together with selective protein inhibition and siRNA treatments, revealed that mechanical stress enhances cell migration through activation of the p38 MAPK/HSP27 and JNK/c-Jun signaling axes, and activation of the actin cytoskeleton remodelers: Rac1, cdc42, and myosin II. In addition, mechanical stress upregulated transcription factors associated with epithelial-to-mesenchymal transition and stimulated the formation of stress fibers and filopodia. p38 MAPK and JNK inhibition resulted in lower cell proliferation and more effectively blocked cell migration under mechanical stress compared with control conditions. The enhanced tumor cell motility under mechanical stress was potently reduced by cdc42 and Rac1 silencing with no effects on proliferation. Our results highlight the importance of targeting aberrant signaling in cancer cells that have adapted to mechanical stress in the tumor microenvironment, as a novel approach to effectively limit pancreatic cancer cell migration. Implications: Our findings highlight that mechanical stress activated the p38 MAPK and JNK signaling axis and stimulated pancreatic cancer cell migration via upregulation of the actin cytoskeleton remodelers cdc42 and Rac1.
Embodied Knowledge of Gesture Motion Acquired by Singular Spectrum Analysis

Whenever a disaster occurs, it's of utmost importance that the rescue system recognizes accurately human behavior and evacuation command in the fire and its black smoke. However, we have infinite pattern for movement instructions by our personality. On the other hand, the singular spectrum analysis method has proposed as analytical method for time-series data. In this paper, we propose a method for acquiring embodied knowledge of human behavior from time-series gesture data using singular spectrum analysis. A behavior is distinguished in terms of gesture characteristic with similarity criteria by interval time-series data. We discuss the usefulness of the proposed method using an example of gesture motion.
The Sexual Function Evaluation Questionnaire (SFEQ) to Evaluate Effectiveness of Treatment for Sexual Difficulties: Development and Validation in a Clinical Sample

ABSTRACT Progress toward establishing the effectiveness of biopsychosocial treatment for patients with sexual problems is limited by the lack of brief measurement tools assessing change across various domains of the treatment model. We developed and psychometrically validated a new clinical evaluation tool, the Sexual Function Evaluation Questionnaire (SFEQ) to meet this gap. The SFEQ combines into a single scale the best performing items from two instruments that were piloted in a UK sexual problems clinic (n = 486): the Natsal-SF Clinical Version and the National Sexual Outcomes Group 1 measure. Internal construct validity evidence from exploratory and confirmatory factor analyses supported a 16-item measure consisting of one overarching dimension of overall sexual function distributed along four subscales: problem distress, partner relationship, sex life, and sexual confidence. The measure had satisfactory configural, metric, and scalar invariance over time and across groups based on gender, ethnicity, and age. Correlations with patient depression and anxiety demonstrated external validity. Change in scores over the course of therapy varied as predicted, with greater improvement in younger patients and in areas more amenable to change via therapy (sexual confidence and problem distress). The SFEQ is a brief clinical tool with the potential to assess sexual function and evaluate the effectiveness of biopsychosocial treatment programs.
Oxygen sensing using single frequency GaAs-AlGaAs DFB laser diodes and VCSELs

Oxygen detection using a GaAs-AlGaAs distributed feedback laser diode emitting at a wavelength of 761 nm is demonstrated for the first time. Using wavelength modulation spectroscopy with harmonic detection the authors have achieved a detection limit of 20 ppm.m with a lock-in amplifier time constant of 33.3 ms. The first results comparing the relative merits of VCSELs and DFB laser diodes for sensing applications are also shown.
Geometric Properties of Parachutes Using 3-D Laser Scanning

The technology of gliding parafoils is currently being pursued by the U.S. Army for precision airdrop of cargos and personnel. The performance of parafoils (lift and drag) and round parachutes (drag) is closely related to their 3-D geometry. There have been some studies on the geometry of round parachutes, but hardly any on parafoils. The technology of 3-D whole body scanning provides a viable tool to investigate the 3-D geometry of parachutes. In this paper, we present an investigation on the 3-D geometry, surface area and volume of small-scale models of parafoil, round parachute, ring-slot parachute, and cross parachute using a 3-D laser scanning apparatus. Scan data from these model parachutes were obtained in a climatic chamber with a steady air velocity. Surface areas and volumes of these parachutes were calculated from the scan data using specially developed mathematical methods. In addition, cross sections of the parachute canopies were obtained from the scan images. These cross sections provide valuable information on the relationship between model parachutes and full-scale parachutes, fabric properties on canopy geometry, and parachute canopy design and manufacturing.
Modelling and Validation of a Rotary Motor Combining Shape Memory Wires and Overrunning Clutches

The paper presents the conceptual design, modeling and prototyping of a novel rotary motor based on shape memory alloy (SMA) wires. The basic architecture of the device capitalizes on a SMA wire wound around a low-friction cylindrical drum. The backup force to the SMA wire is provided by a beam spring which generates a nearly-constant force tangential to the drum. The electrical activation of the wire produces a contraction of the wire, hence a rotation of the drum fitted to the shaft through an overrunning clutch (free wheel). Thanks to the overrunning clutch, during the backup phase (recoiling of the wire), the drum rotates backward while the shaft does not move. Spurious backward movements of the shaft are contrasted by a second overrunning clutch linking the shaft to the frame. The paper presents a model for the quasi-static simulation of the motor and the experimental characterization of a prototype device featuring three active drums, a rotary sensor and an angular brake to apply the external load.Copyright © 2014 by ASME
Multiple frequencies estimation from compressive phase-only data: algorithm and application

In the article, the issue of multiple frequencies estimation from compressive phase-only data is addressed. A phase-only frequency receiver scheme based on compressive sensing technique is presented first. Then, we propose two reconstruction algorithms: one is convex; and the other is hybrid, which is based on robust optimisation and iterative hard threshold. With these methods, multiple frequencies estimation is accomplished by reconstructing the Fourier transform of the complex-valued time signal and finding peaks in the frequency domain. Simulation experiments illustrate its advantages both with noiseless and additive white Gaussian noise(AWGN) cases. Finally, the effects of phase quantisation errors (it would happen in a phase-to-digital converter) on the reconstruction algorithms are discussed.
An ever-thorny issue: Defining key elements of critical care nursing and its relation to staffing.

The author comments on the implementation of alternative staffing models, with non-critical care qualified nurses providing bedside care to critically ill patients to address nurse staffing deficit amidst the COVID-19 pandemic and the global surge in critical care. Topics covered include prevailing model for critical care staffing in Great Britain, the association between nurse staffing and patient outcomes, and challenges to the notions that define the role of a critical care nurse.