Miracle-dz/UniFAR-FTUs huggingface dataset:
Remote Home-Based Exercise Program to Improve the Mental State, Balance, and Physical Function and Prevent Falls in Adults Aged 65 Years and Older During the COVID-19 Pandemic in Seoul, Korea

Background The COVID-19 pandemic can affect the elderly population’s general health. This study aimed to compare the effects of a remote home-based exercise program to improve the mental state, balance, and physical function and to prevent falls in adults aged 65 years and older during the COVID-19 pandemic in Seoul, Korea. Material/Methods Seventy participants were randomly assigned to an experimental group of 35 participants who underwent a remote home-based fall prevention exercise program and a control group of 35 participants. The experimental group performed an exercise program twice weekly for 8 weeks from June 2 to July 21, 2021. The Geriatric Depression Scale, 5 times sit to stand test, grip strength, 10-m walk test, gait analysis, Timed Up and Go test, and static balance test were assessed before and after the 8-week program. Results The group-by-time interaction effect was statistically significant for the Geriatric Depression Scale, five times sit to stand test, grip strength, 10-meter walk, gait speed, step length, stride length, Timed Up and Go test, and static balance test (P<0.05). Compared with the control group, the experimental group showed a significant effect in all dependent variables except dynamic balance (P<0.05). Conclusions In this population, the remote home-based fall prevention exercise program resulted in a significant improvement in physical function, psychological factors, and balance during the COVID-19 pandemic. The findings may have implications for community public health measures to protect the vulnerable during future epidemics and pandemics of infectious disease.
Recursive Least Squares and Adaptive Kalman Filter-Based State and Parameter Estimation for Series Arc Fault Detection on DC Microgrids

In this article, we present a recursive least squares (RLS) and adaptive Kalman filter (AKF)-based state and parameter estimation (SE and PE) for series arc fault (SAF) detection and identification on dc microgrids. It is evident from the state-of-the-art research on dc SAFs that due to the lack of zero crossings and low current of the fault, the detection/identification of a SAF is difficult. Furthermore, due to the unplanned placement of sensors and the effect of SAF’s noise signatures on the adjacent sensors, we present a RLS-based SE for voltages and injection currents. The injection currents and nodal voltages from the states are then used by the AKF for a quick SAF detection, by estimating line admittances on the microgrid. The simulation results, control hardware in loop (CHIL), and experimental results are presented to manifest the SE–PE technique’s potential.
A comparison between some control algorithms of parallel active filtering

This paper deals with parallel active filtering by means of IGBT-Voltage Source Inverters. The control algorithm is based on the evaluation of active and reactive power by detecting line voltages and load currents. Then these powers are split in their average and alternative components using proper low-pass filters. The features linked to some different techniques of current control are investigated with reference to time behaviour and frequency spectrum of the resultant line current. Simulation results are discussed and compared with reference to a specific case-study.
Real-Time Search-Driven Caching for Sensing Data in Vehicular Networks

Real-time search is essential for accessing specific sensing data (SD) in vehicular networks to support safe, efficient, and intelligent road services. Considering the tremendous data volume, the SD search process should be carefully devised to avoid excessive retrieval and transmission delay. To alleviate the communication and computational burden for sensing devices and the cloud server, roadside edges are adopted to cache the SD in advance. Given a short lifetime of SD, the caching scheme is required to be efficient in facilitating both the search process and uplink/downlink transmission, which is quite challenging due to the coupling of resource allocation decisions. To guarantee the search efficacy and enhance the caching resource utilization, we propose a real-time search-driven caching (RSC) paradigm to enable the cooperation among storage-constrained edges. A hierarchical indexing framework is first introduced for cached data, based on which we then devise a search utility model to quantify the expected data freshness and response delay. With the objective of maximizing the long-term search reward, the RSC problem is formulated by jointly considering the search requests and utility model. A deep-reinforcement-learning-based caching (DRLC) method is proposed to solve the problem. Specifically, an action transition module is introduced to lower the computational complexity via reducing the selection space of caching actions. Extensive simulations are carried out based on the real trace data in Creteil, France, and results show that the intelligent DRLC method can improve the real-time search performance significantly comparing to the benchmark methods.
Compact Triple-Band Bandpass Filter Using Multi-Mode Resonator (MMR) With Multiple Transmission Zeros

In this article, a compact triple-band microstrip bandpass filter (BPF) with tunable centre frequencies and bandwidths as well as multiple transmission zeros (TZs) is presented. The proposed filter is designed based on a novel multi-mode resonator (MMR), and the even-/odd-mode analysis method is employed to investigate its resonant characteristics. By changing the lengths of two loaded coupled open stubs and coupling space between them, two resonant modes can be tuned and the bandwidth can be controlled. Also, two additional TZs are generated due to the dual-finger feed structure. Moreover, these two TZs can be controlled by the lengths of two fingers, and high passband selectivity and band-to-band isolation level are achieved with ten TZs. The three centre frequencies of the proposed triple-band BPF are located at 1.9, 3.55, and 7.33 GHz, respectively. In addition, the overall circuit size of the fabricated filter is much smaller in comparison with previous works. For demonstration, a prototype filter is fabricated and measured, and good agreements are obtained between the measured results and electromagnetic (EM) simulated ones.
LOCAL AND GLOBAL HISTOGRAM MATCHING FOR ENHANCING IMAGE QUALITY USING SPATIAL REPRESENTATION

: Image enhancement is the important method to improve the quality of the images. Image quality is the important factor for processing images and making effective decision. The traditional image enhancement method has handling multiple images. We propose novel local and global histrogram method for enhancing image quality. The spatial representation is used to select each image regions and find the histogram values. Matlab is used to setting the experiments. The proposed model, we use biometric finger input as one model evaluating the system. Here, image pre-processing steps is applied for improve image contrast and enhance image quality. The stereo plane is created for handling local and global histogram. The experimental setup can obtained good quality images in spatial plane.
Speed sensorless vector control of induction motor using extended Kalman filter

A vector control of an induction motor by an estimated speed using an extended Kalman filter is proposed. With this method, the states are composed of stator current and rotor flux. The rotor speed is regarded as a parameter, and the composite states consist of the original states and the rotor speed. The extended Kalman filter is employed to identify the speed of an induction motor and rotor flux based on the measured quantities such as stator currents and DC link voltage. The estimated speed is used for vector control and overall speed control. Since the current control is performed at a synchronous rotating reference frame, the estimated speed information is also used for the reference frame transformation of the current controller. Computer simulations and experiments of the speed control have been carried out to test the usefulness of the speed estimation algorithm. The experimental results show that the performance of the speed estimation is very good. >
General Attitudes, Cultural Significance and Health Risks Associated with Body Arts among Ewe Youth in the Volta Region of Ghana

The purpose of the study was to assess the general attitudes, cultural significance and health risks associated with body arts on the Ewe youth in the Volta Region of Ghana. The descriptive research design under the quantitative research approach was adopted for the study. The population for this study was made up of 125 Ewe youths in the Volta Region of Ghana who was sampled using the random sampling method. Researcher-designed questionnaire was the main data collection tool. The analysis was done quantitatively using descriptive statistics in the form of frequencies and percentages with the aid of the SPSS software. The findings revealed that the majority of the respondents (95%) said that Ewes are concerned about the cultural significance of body arts as indicators of social status, self-esteem, beauty, ethnic and religious identity, as well as spiritual and medicinal protection. Regarding the health risks associated with body arts, it was found that 97% stated that body decorating can lead to body cancer and allergic reaction, 83% agreed that body arts can cause pain and excessive bleeding, 95% said body arts can cause nerve damage, 68% said body arts can cause life-threatening bacterial infections and 79% indicated that body arts can lead to blood-borne virus infections like Hepatitis B and HIV. The study contends that a greater section of the Ewe youth has extensive knowledge regarding the cultural significance and health risks of body arts. However, knowledge
Complex Discrete System Analysis of Process Design and Tourist Souvenir Making Based on Artificial Intelligence 3D Printing

With the rapid development of 3D (three-dimensional) printing technology, it has been widely used in the field of ceramic arts and crafts. However, due to the complexity of 3D printing technology, it will face complex modeling and calculation when designing ceramic art crafts. To this end, the artificial intelligence algorithm is introduced, and using the data measured by the built-in modeling instruction of LAMMPS of the artificial intelligence algorithm, the program is used to reset its coordinates, length, width, height, and focal length. The obtained data are modified by postprocessing to correct its coordinates and the size of the simulation frame, so that the nanopowder model is placed in the center, forming a solid ellipsoidal aluminum nanopowder and cutting it into a three-dimensional model of teapot, which is transformed into the STL file of two-dimensional cross section, and the finished product is printed out to the 3D printer. Finally, the RTM model is used to test the quality of tourist souvenirs. The results show that the homogeneity of variance is much greater than 0.10. It can be inferred that the tourist souvenirs of pottery teapots have met the requirements of national technological quality standards.
Frequency reconfigurable ultra-thin metasurface for beam scanning

In this work, we propose a loaded diode frequency reconfigurable ultra-thin metasurface for beam switching. Different bias voltages are applied to the ultra-thin reconfigurable unit to achieve different phase gradients between adjacent units in the x-axis direction. Different voltage configurations are used to achieve stable phase gradient in different working frequencies which ensures the stability of beam scanning and expands the operating bandwidth of the antenna. The characteristics of frequency reconfigurable metasurface have been verified over the frequency band 9.1-10.1 GHz. This study paves a novel strategy of bandwidth expansion with the advantages of reconfigurable frequency and lightweight.
Effect of Monoclonal Antibodies Conjugation With Gallium-Containing Solamargine: Warburg Effect- Based Cancer Therapeutic Strategy. Article Review

Therapy by Monoclonal antibodies is considered extremely hoping method for cancer therapy. But cancer cells have variable methods for resistance by multiple genetic mutations. The aim of that article to illustrate tagging monoclonal antibodies by gallium containing solamargine glycoside within the antibody by glycosylation the asparagine of its Fc portion. Malignant cells need to a big extent high carbohydrate content for aerobic glycolysis for cancer progression. Solamargine as a specific glycoside can be diffused easily and effectively into malignant cells with a high degree of specificity. Complexion gallium to solamargine then conjugation into monoclonal antibodies will increase Monoclonal antibody potency and affinity by Warburg effect based mechanism and gallium particles. Gallium can be retained for a long time inside malignant cells. By that method, the monoclonal antibody will be targeted to cancer cells by solamargine, retained gallium particles besides its functioning specific Fab region.
A survey of New Zealand academic reference librarians: Current and future skills and competencies

A survey of New Zealand academic subject/reference librarians was conducted in mid-2011 to identify the most highly valued knowledge, skills and competencies of reference librarians working in libraries in the tertiary sector. The project was part of an international collaborative project involving 13 countries. The results from New Zealand show that serving academic library customers requires not only traditional ‘reference’ skills, but also skills in customer service, technology support, and training. Good communication skills were also rated highly by respondents, and the high value placed on adaptability/flexibility shows that most respondents expect their roles to continue to change in the next decade. Software troubleshooting skills were also considered important. The results also suggest that traditional paper-based reference sources are expected to become much less important than online ones. There is also a shift towards using social media to interact with customers, and a focus on building susta.
Sustainable packaging design: a holistic methodology for packaging design

This study describes a holistic methodology for sustainable packaging design. This methodology studies the combined systems of packaging and the packaged products across the whole distribution chain from manufacturer to end consumer and the life cycle from raw material extraction to the waste phase. It contains a number of indicators that are grouped into the following main categories: environmental sustainability, distribution costs, product protection, market acceptance and user friendliness. The methodology integrates a number of different analytical methods. It is intended to be used in packaging design and optimisation, for idea generation, decision support and as documentation of properties of existing packaging systems. The study describes experiences with the methodology from one case study in the Norwegian Food Industry. The experiences show that the methodology is very comprehensive, and gives a good overview of the properties of a packaging solution. It enables quantitative comparisons between different packaging solutions throughout the design process. The methodology reduces the risk of implementing sub‐optimal packaging solutions. An additional benefit of the methodology is gained by working in cross‐functional teams. One potential drawback is that the methodology can be resource and data intensive. The methodology can be used as a tool box in packaging design, i.e. it is not necessary to use all methods and quantify all indicators to gain benefit. However, all indicators and requirements should be evaluated and considered. In all cases, it should be considered to include additional indicators if important sustainability issues have not been addressed. Copyright © 2010 John Wiley & Sons, Ltd.
Transmission Jeopardy of Adenomatosis Polyposis Coli and Methylenetetrahydrofolate Reductase in Colorectal Cancer

Colorectal cancer (CRC) is one of the globally prevalent and virulent types of cancer with a distinct alteration in chromosomes. Often, any alterations in the adenomatosis polyposis coli (APC), a tumor suppressor gene, and methylenetetrahydrofolate reductase (MTHFR) gene are related to surmise colorectal cancer significantly. In this study, we have investigated chromosomal and gene variants to discern a new-fangled gene and its expression in the southern populations of India by primarily spotting the screened APC and MTHFR variants in CRC patients. An equal number of CRC patients and healthy control subjects (n = 65) were evaluated to observe a chromosomal alteration in the concerted and singular manner for APC and MTHFR genotypes using standard protocols. The increasing prognosis was observed in persons with higher alcoholism and smoking (P < 0.05) with frequent alterations in chromosomes 1, 5, 12, 13, 15, 17, 18, 21, and 22. The APC Asp 1822Val and MTHFR C677T genotypes provided significant results, while the variant alleles of this polymorphism were linked with an elevated risk of CRC. Chromosomal alterations can be the major cause in inducing carcinogenic outcomes in CRCs and can drive to extreme pathological states.
E V ALU A TIN G USER S A TIS F ACTION IN AN E-GOVERNMENT INITI A TIVE: RESU L TS O F STRUCTURA L EQU A TION MODELIN G AND FOCUS GROU P DISCUSSIONS

A m ajor dom ain of e-governm ent research has been the exam ination of inform ation delivery to citizens. These services involve com m unications and transactions betw een governm ent, at various levels, and citizens. The rise of these services has led to a concurrent need to develop m odels of citizen satisfaction w ith e-governm ental services. This research aim s to contribute to this need by devising such a m odel—EGOVSAT—and using it to evaluate citizen satisfaction. This m odel includes various perform ance and em otional m easures. To explore its applicability , the m odel is applied to online Advanced Transportation Inform ation Sy stem s (A TIS), a f orm of governm ent-to-citizen online service delivery . This paper presents results of a statistical analy sis of an online survey conducted to evaluate A TIS initiatives in Los Angeles (n = 155) and Minneapolis/St. Paul (n = 246). Using structural equation m odeling, a highly statistically significant goodness-of-fit w as found for the EGOVSA T m odel, w hich included 11 m easures capturing three constructs (utility, efficiency, customization) as affecting four em otional dim ensions (confidence, pleasantness, frustration, satisfaction). These quantitative results w ere then supplem ented w ith qualitative f indings f rom three f ocus groups that w ere conducted w ith survey participants. The overall results suggest that there is value in utilizing a robust m easure of citizen satisfaction, such as m easured by EGOVSAT.
Feature-Aligned Stacked Autoencoder: A Novel Semisupervised Deep Learning Model for Pattern Classification of Industrial Faults

Autoencoder is a widely used deep learning method, which first extracts features from all data through unsupervised reconstruction, and then fine-tunes the network with labeled data. However, due to the limited number of labeled data samples, the network may lack sufficient generalization ability and is prone to overfitting. This article proposes a new semisupervised deep learning method called feature-aligned stacked autoencoder (FA-SAE). FA-SAE takes advantage of the unlabeled data during the fine-tuning process by aligning the feature of both labeled and unlabeled data. In FA-SAE, a new training loss function is designed by integrating the Sinkhorn distance measure of the difference between the features extracted from labeled and unlabeled data through the neural network into the cross-entropy classification loss. The effectiveness of the proposed FA-SAE is verified through its application to two industrial processes, and the application results demonstrated that the proposed FA-SAE has better generalization ability and higher fault classification accuracy as compared to the state-of-the-art methods.
Optimal control of current in a cathodic protection system: A numerical investigation

In this paper, the optimal control of current in an impressed cathodic protection system is considered. Such systems are routinely used for corrosion prevention. The analysis presented here enables the corrosion engineer to have a systematic way of determining the current output from a rectifier for complete protection. The boundary element method is employed for numerical calculations of the resulting coupled boundary value problems.
A dual-bridge inverter approach to eliminating common mode voltages and bearing and leakage currents

This paper presents a dual-bridge inverter approach to eliminate the motor common mode voltage and resulting bearing and leakage currents. The novel dual-bridge inverter is controlled to generate balanced excitation of the induction motor under PWM inverter operation. Theoretical analysis, simulation results and experimental results are presented to verify this concept.
Flicker Noise in Opto-Electronic Oscillator and Photonic-Delay Homodyne Phase Noise Measurement System

In this paper, the effect of device flicker noise on the characteristics of both opto-electronic oscillator and Photonic-delay homodyne phase noise measurement system is analyzed. An analytic theory model of opto-electronic oscillator (OEO) is derived and verified by experiments in this paper, where the flicker and white noise are both considered. The sensitivity of Photonic-delay homodyne phase noise measurement system is improved by using high-linear photodetector and low-phase noise amplifier resulting from decreasing systematic phase noise.
Novel low‐power and stable memory cell design using hybrid CMOS and MTJ

Memory is an essential component of any VLSI data storage system. Because of the shrinking of CMOS processing nodes, power consumption in conventional memory (SRAM and DRAM) increases. Traditional memory technologies also suffer several additional difficulties, such as limited scalability, low reliability, short data retention time, low durability, increased space, and latency, among others. As a result, new device technologies are critical for developing low‐power, high‐performance memory devices. Among the numerous developing nonvolatile (NV) memory technologies available today, STT‐MRAM is regarded as one of the most appealing and promising NV memory technologies for overcoming the limitations of traditional memories. STT‐MRAM is more efficient, quicker, NV, highly scalable, and readily integrated with CMOS technology. Because of the scalability of technology nodes below 45 nm, traditional STT‐MRAM cells have several difficulties, including high write power consumption, destructive read and write operation, prolonged write time, and so on. To address the issues associated with the writing operation of STT‐MRAM cells, this article presented an optimum STT‐MRAM cell design based on PMA‐MTJ. The write failure mitigation strategies are utilized to increase the proposed cell's write stability. A comparative analysis between conventional STT‐MRAM cell and the proposed cell is performed by concerning the write power consumption, write delay, and write stability. The experimental results indicate the performance superiority of the proposed cell architecture.