Miracle-dz/UniFAR-FTUs huggingface dataset:
Workplace Stress Management Interventions and Health Promotion

Employee health and wellness are important for employees, their families, and their organizations. We review the literature on both stress management interventions in organizations and workplace health promotion and wellness programs, from the lens of primary, secondary, and tertiary interventions as well as the framework provided by the job demands–resources model (Bakker & Demerouti 2007). Stress management interventions tend to be ameliorative, often focusing on restoring resources that have been depleted by the work environment, whereas workplace health promotion and wellness programs tend to be more preventive, enhancing job and personal resources for all employees. There appears to be a trend toward incorporating stress management as a component of workplace wellness programs, with these programs taking more of a primary or secondary intervention approach than a tertiary approach. In addition, although organization-level interventions are still relatively rare, there is growing evidence that organiz.
Deep and Automated SDN Data Plane Analysis

The emergence of SDN aims to facilitate network management by separating DATA and Control plane. However, avoiding configuration errors is still challenging. Related approaches propose to check network configuration w.r. t a specific invariant, use some probe packets and examine SDN equipment outputs. Are all paths of ingress packets considered? Are all complex inter/intra flow table rules dependency handled? Are all topology (in)dependent properties checked? Is the rewriting packet header action treated? Which rules are precisely causing faulty decisions and to which specific set of packets? Can we help network operator to safely correct flow entries? In this paper, we propose a deep automated approach that addresses these issues using self-deciding flow entries decision diagram. Our method is designed to be used likewise forward dynamic network configuration updates. Implementation and real-fashion experimental results conducted show the effectiveness and the scalability of our approach.
A Viable Systems Model for Implementing IT Governance

Failure to implement Information Technology Governance (ITG) frameworks in universities contributes in making management and governing bodies ineffective in ensuring an alignment of business and IT, hence, failure to create business value. The main objective of this paper, therefore, is to show the benefits of implementing ITG in higher education institutions (HEIs) following viable systems model (VSM). Different literature on systems theory, VSM systems and principles; and ITG were reviewed and discussed with an intention to develop a model that can help HEIs to implement ITG in a more efficient and effective manner. The Benefits of implementing ITG following Viable Systems Model were also highlighted towards the end of the paper.
Time-varying Spectral Entropy Based Analysis of Impulse Noises

Impulse noises encountered in indoor wireline communications systems consist of a series of wideband sub-impulses embedded in strongly colored background noise. The temporal attributes and spectral contents of these sub-impulses vary with time exhibiting interesting patterns both in time and frequency domain. Conventional methods of spectral analysis such as those based on power spectral density estimation give information only about the average spectral contents of observed impulse noise and do not convey any information about their nature of distribution. Time-frequency analysis methods are only able to quantify the magnitude of changing spectral content w.r. t time. Thus, in this paper we propose time-varying spectral entropy based analysis to capture the changing distribution of spectral contents of impulse noise recordings. This approach complements the existing time-frequency domain based characterization techniques and thus provides deeper insight into the structure of the impulse noises by tracking the changing distribution of time-varying spectrum.
Sphere Decoder for Massive MIMO Systems

The increasing demand for higher data rates and for more connected devices has led to Massive MIMO (MMIMO) Technology. The large number of antennas makes the Maximum-Likelihood (ML) detector infeasible to be implemented due to high complexity, despite its optimal performance. Sphere Decoder (SD) has a bit error rate (BER) performance similar to ML detector, therefore making it more efficient (0.5-1.25 dB gain) than Linear Detectors (LD), proposed in the literature. However, the low complexity of LD and the non-deterministic behavior of SD are the main reasons that prohibit the use of sphere decoding methods in MMIMO systems. The results of this paper disrupt conventional thinking and show that there may be a future for SD in certain MMIMO system. The number of visited nodes during detection and the Initial Radius (IR) method are crucial for the computational complexity of SD. In this paper, an effective IR method, decreasing significantly the complexity and the number of visited nodes is proposed. Furthermore an optimization at tree searching further reduces the number of visited nodes, where in combination with an implementation featured with one-node-per-cycle architecture minimize the latency and make the SD attainable to large-scale systems for $E_{b}/N_{0}\geq 4 \ \mathrm{dB}$. Hardware aspects are investigated for both a Virtex-7 FPGA and a 28 nm ASIC technology.
Radar Recognition of Multi-Propeller Drones using Micro-Doppler Linear Spectra

This paper proposes to perform radar recognition of multi-propeller drones using micro-Doppler linear spectral pattern in long Doppler coherent processing interval (CPI) circumstances. It focuses on the investigation of the influence of geometry design and motion variables, such as blade number, blade shape, drone’s design geometry and propeller synchronisation, on the micro-Doppler spectral pattern. We propose suitable scalar features for the characterisation of these patterns measured within a long (relatively to propellers rotation period) CPI. A thin-wire model was used to simulate drones micro-Doppler spectra for various input variables. Proposed features are extracted from the simulated micro-Doppler spectra for further processing in a support vector machine (SVM), with the purpose of demonstrating the radar recognition of multi-propeller drones based on these features.
Optimization of Computation Resource for Container-Based Multi-MEC Collaboration System

Mobile Edge Computing (MEC) has potential to improve performance of 5G networks in terms of latency and bandwidth. Recently, the architecture of distributed MEC host integrated with 5G networks is proposed by ETIS, providing a new paradigm for implementing edge networks. In this paper, considering the performance optimization and user mobility in edge networks, Docker container is applied to MEC host to form a container-based multi-MEC collaboration system (CMMCS) so that it can optimize computation resources among MEC hosts while guaranteeing QoS. Then the resource allocation optimization is formulated to the system cost minimization and the general pattern of virtual machine resource consumption is considered. After that, we prove that the system cost minimization problem is an NP-hard problem, and a DABF scheme based container deployment algorithm is proposed to figure out the optimal solution. Simulation results demonstrate that our proposed algorithm achieves significant reduction on system cost in CMMCS compared to other baselines in any network environment.
Studies on feed dependent characteristics of patch antenna for wireless body area networks

This work reports the simulation studies related to the effect of human body on feeding technique dependent characteristics of a patch antenna, designed using a substrate of ARLON AD250 and copper as patch material. It is designed to operate at 3.4GHz in the UWB range with a form-factor suitable for wireless body area networks. The performance is evaluated by placing the antenna on and off the tissue model at varied distances in a simulation environment using CST MW studio suite. In order to verify its biocompatibility the Specific Absorption Rate (SAR) distribution is analyzed to match IEEE and ICNIRP standards. It is observed that on body SAR value of microstrip feed is 2.571W/kg and that of proximity feed is 2.747W/kg compared to aperture coupling feed which has very high SAR value of 15.59W/kg.
Fast CU Size Decisions for HEVC Inter-Prediction Using Support Vector Machines

The brute force rate-distortion optimisation based approach used in the High Efficiency Video Coding(HEVC) encoders to determine the best block partitioning structure for a given content demands an excessive amount of computational resources. In this context, this paper proposes a novel algorithm to reduce the computational complexity of HEVC inter-prediction using Support Vector Machines. The proposed algorithm predicts the Coding Unit (CU) split decision of a particular block enabling the encoder to directly encode the selected block, avoiding the unnecessary evaluation of the remaining CU size combinations. Experimental results demonstrate encoding time reductions of ∼58% ∼50%2.27%1.89% Bjøntegaard Delta Bit Rate (BDBR) losses for Random Access and Low-Delay B configurations, respectively.
Fast Multi-scale Homomorphic Quotient Filtering for Night Time License Plates Illumination Invariant and Denoising

This paper addresses a class of problem dealing with the night time license plate recognition. On top of poor quality and noises, the night time license plate images also suffer from varying lighting due to other car beams and street lights, affecting the performance of the plate recognition results. Here we integrate the ability of quotient image for overcoming the illumination variations and the homomorphic filtering for removing noises under one framework. The proposed algorithm is subsequently carried out in a multi-scale fashion for deriving further information of the images. Experiment results using real license plate night time data on a deep learning character recognizer show superiority of the proposed method for handling the noises and illumination problems simultaneously.
ROLE OF OVERSEAS COMMUNITY PHARMACIST IN HOME MEDICINE REVIEW- A REVIEW

HMR services were specifically designed to assist consumers (especially elderly) living in their homes to have more benefits of medication regimen through medication review by community pharmacist and to prevent medication related problems. The operation of HMR involves a patient, General practitioner (GP), Accredited Pharmacist and Community Pharmacy. In some circumstances other health care team members such as nurses in community practice or careers are included in HMR process. The common activities observed during Medication use review services were checking rationality of drug, OTC products, patient medication adherence, drug therapy monitoring whether signs and symptoms are minimized or subsided, If drug related problems were identified they were reported to the concerned Physician or GP. Residential Medication Management Review Guidelines (RMMR) is the one which support the quality use of medicines and medication review services for aged patients with the assistance of accredited pharmacists. Benefits observed during collaborative practice between Pharmacist and General practitioners in overseas studies for providing medication reviews are identification of drug related problems and appropriate solution to it. People residing in UK care homes are weak and irresistible population who are at more risk of experiencing medication errors. Strategies that should be adopted to overcome medication errors in UK patients care homes are constant review of medication administration record, adequate training to the health care professionals in medication errors and designing research protocols on medication errors that help in evaluating the medication errors.
Plugging Electronics Into Minds: Recent Trends and Advances in Neural Interface Microsystems

Despite rapid advancements in our electronics industry, connecting our minds to machines (e.g., robots and computers) through brain-machine interface (BMI) technologies remains an unfulfilled human ambition. Voice-free interaction with unplugged holographic displays, controlling a computer mouse hands free, downloading our minds onto artificial intelligence chips, and uploading knowledge or skills into our brain still reside in the realm of research or imagination.
Five-year experience in using coil embolization for ruptured intracranial aneurysms: outcomes and incidence of late rebleeding

Object. During a 5-year period 317 patients presenting with aneurysmal subarachnoid hemorrhage were successfully treated by coil embolization within 30 days of hemorrhage. The authors followed patients to assess the stability of aneurysm occlusion and its longer-term efficacy in protecting patients against rebleeding. Methods. Patients were followed for 6 to 65 months (median 22.3 months) by clinical review, angiography performed at 6 months posttreatment, and annual questionnaires. Stable angiographic occlusion was evident in 86.4% of small and 85.2% of large aneurysms with recurrent filling in 38 (14.7%) of 259 aneurysms. Rebleeding was caused by aneurysm recurrence in four patients (between 11 and 35 months posttreatment) and by rupture of a coincidental untreated aneurysm in one patient. Annual rebleeding rates were 0.8% in the 1st year, 0.6% in the 2nd year, and 2.4% in the 3rd year after aneurysm embolization, with no rebleeding in subsequent years. Rebleeding occurred in three (7.9%) of 38 recurren.
Psychiatric training revisited — better, worse or the same?

AIMS AND METHOD To evaluate psychiatric training in one deanery following a programme of site visits, interviews with trainers and trainees, reports, and recommendations. To assess the findings in the context of NHS training requirements. Information was collected by semi-structured interviews and questionnaire surveys. RESULTS Forty-three sites were visited, training is generally of a high standard and most trainees are satisfied with their posts. There are significant problems in delivering sufficient community experience to general practice trainees and deficits in availability of multi-professional training programmes. CLINICAL IMPLICATIONS College tutors should work to ensure that trainees have access to shared learning occasions with non-medical health professionals to meet the NHS training agenda.
An Improved Control Scheme for Grid-forming Inverters

In order to reduce the reliance of power grids on conventional (and often non-renewable) generation, reliable and dispatchable converter-interfaced distributed generators (DGs) are required. Instead of relying on large rotating machines for frequency and voltage regulation, it becomes crucial to develop improved control schemes for grid-forming inverters. In this paper we propose a simple and effective frequency and voltage control scheme that offers desirable dynamic response and power sharing. The proposed controller is compared to the conventional hierarchical control scheme via a stability analysis of the overall system dynamics and time-domain simulation results. It is shown that the transient performance and the stability properties are significantly improved.
Survey on Beamforming Techniques and Integrated Circuits for 5G Systems

Electronic scanning is widely used in radar systems. Fifth generation (5G) communication systems are highly relying on the same principle. Different beamforming techniques, such as digital, analog and hybrid, are studied and compared in theory by many authors during the search of optimal architecture in sense of energy and spectral efficiency. Several integrated solutions have been designed and published by university researches and commercial companies. In this paper some of the recent publications about beamforming techniques and integrated circuits for sub-6 GHz and sub-30 GHz are discussed and compared.
A Fast High-Resolution Time-to-Digital Converter Implemented in a Zynq 7010 SoC

A high-resolution time-to-digital converter (TDC) was implemented on a Red Pitaya board, featuring a Xilinx Zynq 7010 fully programmable 28-nm system on chip (SoC). The TDC is based on an internal tapped delay line for fine time measurements. First experimental results point towards very high performance of the design, achieving 350 MHz clock speed and sub 20 ps time resolution. The work is part of a Master thesis research and serves as a demonstration of what is possible today with a fairly simple design and a low-cost modern FPGA. The chip used is the smallest dual-core Zynq-7000 device, which makes development boards like Red Pitaya easily affordable for universities. We make good use of on-board Linux to send gathered data via Ethernet to a PC client with a graphical user interface to access the TDC. The design is fully customizable and comes in the form of an independent TDC channel IP core. This offers the possibility of easily implementing TDC systems with an arbitrary number of TDC channels.
Full Length R ev iew Paper Circumcision in north of IRAN : The results of operation by experienced and inexperienced operators

Background : Circumcision is the most common surgical procedure that is performed in the world today. In some countries non - surgeon person is performed this procedure. The aim of this study was to assessment and comparison of circumcision results i n different group of experience and inexperienced operators. methods : In a randomized study, 1000 children less than 12 years o ld were studied for circumcision outcome. In this study, Symmetry of the skin and mucous and any other forms of abnormal appearance was recorded. The association of morbidity with techniques and operator were evaluated. Results : The age range from one mont h to 12 years (4.5 years ±3.1) and the maximum age at circumcision 1 to 12 months (63.5%) and neonatal period (28%), respectively. Procedure quality in 79 % of patients was satisfied and 21 % of patients had complications. These complications were mainly c osmetic and including excess mucosa (6.1%), asymmetric skin - mucosa junction (3.5%), Excessive residual foreskin (1.3%), Excessive foreskin removal (1.3%) and penile adhesion (1.3%). The rate o f complications in the plastibell device group was less signific antly (P<0.05). As well as the complication rate in the surgeon operator was lower than non surgeon operator (P <0.05), but this difference is not seen for the time using plastibell method. Conclusion : The complication rate in the surgeons group was signif icantly lower than nonsurgeon operators. The best technique of surgery in mass circumcision and inexperience operator is plastibell method. However, it seems doing of this operation by non - specialists need to reassessment.
Optimization of electrical characteristics of Tunnel FET incorporating Gate Engineering

In this paper, the electrical characteristics of different structures of TFET including ferrorelectric gate have been studied. The devices have been optimized in order to provide the best values of SS in each device. The best result obtained for SS is 22mV/dec and for ION/IOFF ratio is 4.4×1013. Temperature dependence of each device has been plotted and compared.
A Single-to-Differential Transimpedance Amplifier for Low-Noise and High-Speed Optical Receivers

This paper presents a transimpedance amplifier (TIA) topology to realize single-ended to differential conversion with no need for a dummy amplifier. The proposed structure includes a Common-Gate Common-Source (CG-CS) topology incorporating an input impedance modification path which allows a large photodiode capacitance. Accordingly, the TIA is designed in 0.35-µm CMOS technology and post-layout simulations show that the circuit can be used in wideband optical communication systems. Consuming 10mW from a 3.3 V supply, the circuit has 2.25 GHz bandwidth and 56.1 dB gain rendering possible a 400 fF capacitance at the input node of the TIA. The input-referred noise of the circuit is lower than 15.5 pA/√Hz and the integrated input noise current is less than 0.6 µA. The TIA demonstrates a gain and phase imbalance of less than 1.5 dB and 5 degrees respectively in the entire bandwidth of interest.
Effects of Other Color Spaces on Shape From Focus

Shape From Focus (SFF) that creates the 3D shape of the object using a 2D image sequence with different focus field has been actively studied in the literature for many years. Classical SFF strategies consist of three basic stages: (1) 2D image sequence creation, (2) focus measure extraction and (3) maximum focus measure estimation. The classical SFF strategies utilize only gray levels of pixels in order to compute the pixel focus measures in the image sequence (the second stage of SFF). Our study provides that the other color spaces (HSV, YIQ and YCbCr) are effective on the SFF. In order to evaluate the performance of color spaces more realistic, the dataset from specimen used for cytopathological analysis is created. 3D shape reconstructions obtained using real color microscope images are tested with two different non-reference assessment procedures, and the effects of other color spaces are shown by both objective and visual results.
Impact of Blanket Jamming on Signal Recovery from Compressed Measurements

Sparse signal processing has recently attracted much attention in the field of radar and communication because of its advantages in subsampling and accurate recovery for signal. Since the process of matched filtering that provides a large signal-to-noise ratio (SNR) gain is replaced by non-linear optimization, it is necessary to examine the anti-jamming ability in a new way. In this paper, we focus on the impact of blanket jamming on signal reconstruction from compressed measurements. According to the jamming sparsity on signal dictionary, we divide the blanket jamming into incoherent and coherent models, and then derive the signal-to-jamming ratio (SJR) gain after reconstruction under different compression ratios, sparsity levels, and some other parameters. Numerical simulations verified the theoretical derivation and assisted in obtaining results which are difficult to express analytically.
Joint Cache and Radio Resource Management in Fog Radio Access Networks: A Hierarchical Two-Timescale Optimization Perspective

Featuring edge caching and computing, fog radio access networks have been seen as promising architectures. However, the joint optimization of cache and radio resource can put heavy burden on the resource manager in the cloud. To overcome this issue, hierarchical radio and cache resource management is studied in this paper. The core idea is to fully utilize the resource management capabilities of fog access points (FAPs) to divide time-domain resource on a small timescale by participating a coalitional game while make the resource manager allocate cache resource on a large timescale to maximize a long-term utility. Based on defined FAP preference, a low-complexity and distributed coalition formation algorithm is first developed under per-FAP fronthaul capacity constraints. Then, facing the challenges incurred by no closed form, discrete variables and the curse of dimensionality, multi-agent reinforcement learning (MARL) based caching is proposed for the resource manager. In the proposal, multiple agents are created, one for each content-FAP pair, who jointly learn a caching strategy via the interaction with a history network environment. By simulation, the effectiveness of the MARL based caching is demonstrated.