Miracle-dz/UniFAR-FTUs huggingface dataset:
In Search For New Urban Tourism Niche. Could European Cities Be Destinations For Urban Wellness Providing Food for Body, Mind and Spirit?

According to the United Nations Population Fund (2020) , half of the world’s population live in cities, and the number is estimated to rise to 75% by 2050. Although urbanization is seen as a major challenge from a health point of view, the development of urban wellness tourism offering would ideally benefit both tourists and locals. The growth rate of wellness tourism during the years 2015–2017 was almost twice as fast as global economic growth. Holistic wellness refers to the balanced elements of body, mind and spirit. This study argues that many European city destinations could provide the holistic wellness elements to their visitors. Tourism destinations continue competing with each other in a globalised marketplace, even more post-Covid-19. As a result, cities will invest considerable resources in their marketing activities and place branding. By recognizing and highlighting wellness tourism offering in their marketing, some urban Destination Management Organisations (DMOs) could stand out in this growing competition and get their share of wellness tourism growth. This study examines, which elements contributing to holistic wellness are currently being displayed on the visit.com websites of selected urban DMOs ( N = 32) in the European Union. This is done using qualitative content analysis methodology. The findings indicate that there are several European cities that already display elements of urban wellness in their marketing. The practical implication for the DMOs in question could be to actively start developing their place brands towards urban wellness tourism niche by highlighting the supply of urban wellness they already have, for example, at their visit.com sites.
Current Clinical Trials in Traumatic Brain Injury

Traumatic brain injury (TBI) is one of the leading causes of morbidity, disability and mortality across all age groups globally. Currently, only palliative treatments exist, but these are suboptimal and do little to combat the progressive damage to the brain that occurs after a TBI. However, multiple experimental treatments are currently available that target the primary and secondary biochemical and cellular changes that occur after a TBI. Some of these drugs have progressed to clinical trials and are currently being evaluated for their therapeutic benefits in TBI patients. The aim of this study was to identify which drugs are currently being evaluated in clinical trials for TBI. A search of ClinicalTrials.gov was performed on 3 December 2021 and all clinical trials that mentioned “TBI” OR “traumatic brain injury” AND “drug” were searched, revealing 362 registered trials. Of the trials, 46 were excluded due to the drug not being mentioned, leaving 138 that were completed and 116 that were withdrawn. Although the studies included 267,298 TBI patients, the average number of patients per study was 865 with a range of 5–200,000. Of the completed studies, 125 different drugs were tested in TBI patients but only 7 drugs were used in more than three studies, including amantadine, botulinum toxin A and tranexamic acid (TXA). However, previous clinical studies using these seven drugs showed variable results. The current study concludes that clinical trials in TBI have to be carefully conducted so as to reduce variability across studies, since the severity of TBI and timing of therapeutic interventions were key aspects of trial success.
EFFECTS OF MARKETING ON INTRODUCTION OF AUTOMATED TELLER MACHINES (ATMS) ON CUSTOMERS OF BANKING INDUSTRY

This study examined effects of marketing on introduction of automated teller machine (ATM) on customers of banking industry. This study identified lack of network (service) as a problem. The specific objective was to highlight on identification of marketing needs on introduction of automated teller machine on customers of banking industry, among others. Research question was to what extent should identification of marketing needs on introduction of automated teller machine (ATM) on customers banking industry be? among others. Research hypothesis was there is no significant relationship between identification of marketing needs and customers of banking industry, among others. Review of related literature comprised of conceptual review, theoretical framework and empirical review. This study adopted survey research design. Area of the study was Nkwelle-Ezunaka where First bank is situated. Population of the study was customers queuing for automated teller machine (ATM) to render services. Sampling plan comprised of sample designs, sample unit, sample size, sample method and sample procedure. The sample size was one hundred and sixty two (162). This study observed data presentation and analysis. Findings, conclusion and recommendations were discussed.
Reasonable scheduling for arrival–departure track operations in railway stations

ABSTRACT We analyze the train types handled at a section station and the factors affecting the scheduling of the arrival–departure track operation, using the following conditions as our optimization goals: operating the arrival–departure tracks in accordance with a fixed operation scheme, and reducing the influence which the departing–receiving operations impose on shunting operations. We establish a 0–1 integer programming model for formulating a track operation plan. By applying modern sequencing theory, this is transformed into a fixed sequencing model of special parallel machines. We then design a heuristic algorithm to solve the model. Finally, the example of Yiyang railway station is used to verify the advantages of the model and the algorithm. A better operation plan is obtained using MATLAB 7.0 by applying the model and the algorithm provided in the paper, indicating the superiority of our study’s approach.
Flexible-Time Receding Horizon Iterative Learning Control With Application to Marine Hydrokinetic Energy Systems

This brief presents an iterative learning control (ILC) framework for a class of repetitive control (RC) applications characterized by: 1) continuous operation; 2) flexible iteration time; and 3) an economic performance metric. Specifically, the effect of iteration-varying initial conditions, resulting from the continuous nature of the operation, is accounted for through an iteration domain receding horizon formulation. To address the need for flexible iteration times, the time-domain dynamics are transformed into path-domain dynamics characterized by a non-dimensional parameter spanning an iteration-invariant range. The resulting model is used to derive learning filters that minimize a multi-objective economic cost. The proposed methodology is applied to the control a kite-based marine hydrokinetic (MHK) system, which executes high-speed, repetitive flight paths with the objective of maximizing its lap-averaged power output. The proposed approach is validated via simulations of a medium-fidelity nonlinear model of a kite-based MHK system, and the results demonstrate robust and fast convergence of the kite to power-optimal flight patterns.
New Circular-Slot Circularly Polarized Antenna with Modified Characteristic

In this article, a novel broad circularly polarized antenna (CPA) with circular-slot ground is presented. The circular-slot CPA is consisted of a circular-slot ground, an I-shaped slit and a semicircle loop feeding structure. By using semicircle loop feeding structure and adding a slit into the circular-slot ground as perturbation elements, the multiple CP resonant modes could be stimulated simultaneously. To demonstrate to the design radiational, an antenna model was printed, manufactured, and tested. The tested results reveal that the proposed antenna has a broad 3-dB ARBW of |S11| < −10 dB that could be obtained, which is suitable for the application of wireless communication systems.
Corrosion Behavior of Fiber-Reinforced Concrete—A Review

Corrosion study of conventional reinforcement in concrete has been accorded wider importance in the last few decades based on the losses occurring in monitoring concrete structures. It is well known that the presence of chloride ions is one of the most significant factors contributing to the corrosion of reinforcing steel. Practically, it is observed that in the marine environment, the activating substances such as chlorides that penetrate the steel can counteract the passivity locally when the electrolyte is highly alkaline. The concrete cover is changed chemically when chloride ionspenetrate into the material, whereupon the pore solution is neutralized. Based on numerous studies, it is evident that steel fibers and glass fibers have less impact on cracked sections in a chloride environment and can oppose chloride infiltration. Glass fibers, when exposed to repeated freeze and thaw conditions, protect the passive layer. This review article highlights the corrosion behavior of reinforced concrete involving various factors such as cracking behavior, transportation, electric conductivity, resistivity, and diffusion of chloride ions in the presence of steel and glass fibers.
Research on coordinated motion of an autonomous underwater vehicle-manipulator system

The design of a three-function electric manipulator to be equipped for an Autonomous Underwater Vehicle(AUV) is described at first.Whereas the system is of kinematic redundancy,possible to intervene interiorly and cylinder-shaped,this paper proposes an algorithm to generate the desired trajectories for both the vehicle and the manipulator in such a way that the system's thrusts can be minimized when ocean current exists,and at the same time,joint limits and interference between vehicle and manipulator are avoided.The simulation results demonstrate the effectiveness of this proposed method in resolving the kinematic redundancy subject to the above tasks.
Bearing Fault Diagnosis Based on Optimal Morlet Wavelet

A fault diagnosis method based on Morlet wavelet and thresholding denoising is proposed to diagnose rolling bearing fault in high noise condition.The optimal Morlet wavelet base function is determined according to kurtosis maximization criteria.The continuous wavelet transformation and soft threshold methods are used to denoise vibration signals.Experiments show that the proposed method is valid for de-noising,and it can effectively extract fault feature from vibration signals.
The Pros and Cons of Soybean Bioactive Compounds: An Overview

ABSTRACT Glycine max is considered as an economically important grain crop with varied potential health merits in reducing chronic illnesses such as cardiovascular diseases, obesity, immune disorders, etc. These biofunctional and health-promoting claims have been associated with the soy bioactive phytochemicals, or secondary metabolites derived during processing or digestion. That is the main bioactive component to enter the systemic circulation and reaching the targeted organs. However, per our knowledge, only recently have scientists started to pay special attention to the bioavailability and bioaccessibility of soybean bioactive compounds. This current review attempts to describe evidence-based information on the therapeutic and nutritional importance of soybean phytochemicals and the implications on general health. In addition, the bioavailability, metabolism, and biotransformation as well as the safety and efficacy of soybean phytochemicals, were explored since these are of significance for potential application in the food and pharmaceutical industries. However, clinical trials are needed to confirm such functional properties in humans. All data of in silico, in vivo, and in vitro research and their impact on health were collated and orchestrated from a library database and electronic search engines (PubMed, Science Direct, and Google Scholar).
Illumination Unification for Person Re-Identification

The performance of person re-identification (re-ID) is easily affected by illumination variations caused by different shooting times, places and cameras. Existing illumination-adaptive methods usually require annotating cross-camera pedestrians on each illumination scale, which is unaffordable for a long-term person retrieval system. The cross-illumination person retrieval problem presents a great challenge for accurate person matching. In this paper, we propose a novel method to tackle this task, which only needs to annotate pedestrians on one illumination scale. Specifically, (i) we propose a novel Illumination Estimation and Restoring framework (IER) to estimate the illumination scale of testing images taken at different illumination conditions and restore them to the illumination scale of training images, such that the disparities between training images with uniform illumination and testing images with varying illuminations are reduced. IER achieves promising results on illumination-adaptive dataset and proving itself a proper baseline for cross-illumination person re-ID. (ii) we propose a Mixed Training strategy using both Original and Reconstructed images (MTOR) to further improve model performance. We generate reconstructed images that are consistent with the original training images in content but more similar to the restored images in style. The reconstructed images are combined with the original training images for supervised training to further reduce the domain gap between original training images and restored testing images. To verify the effectiveness of our method, some simulated illumination-adaptive datasets are constructed with various illumination conditions. Extensive experimental results on the simulated datasets validate the effectiveness of the proposed method. The source code is available at https://github.com/FadeOrigin/IUReId.
Reconceptualizing Multilevel Leader-Follower Shared Outcomes

While research on leadership has acknowledged the joint efforts of leaders and followers, advancements in conceptualizing the outcomes of such joint efforts have stagnated. Integrating leadership theory and research with multilevel theories on emergent states, we develop and propose a new framework of shared leader-follower outcomes (SLFOs). We reconceptualize SLFOs as four emergent states (presence, synergy, professionalism and chemistry) that are proximal outcomes in teams. Each SLFO is an early indicator of corresponding key traditional outcomes (absenteeism, productivity, quality and satisfaction) that focus on the leader, followers, or the team as a whole. We also discuss the dynamics of emergence of SLFOs from the dyadic leader-follower level to the team level through composition (i.e. convergent) and compilation (i.e., divergent) processes. Our framework extends leadership theories by accounting for emergent states as shared leader-follower outcomes that temporally unfold over multiple levels of analysis. We develop propositions to guide future empirical research on leader-follower proximal outcomes of presence, synergy, professionalism, and chemistry.
Research on the Reality and Path of Resource-Based Enterprises’ Digital Transformation

With the rapid development of information and communication technology, big data, cloud computing, and other digital technologies have become the impetus for the transformation of resource-based enterprises. The digital transformation of resource-based enterprises mainly involves business process reengineering and business model innovation. At present, there are several problems, such as traditional ideas that are difficult to change, insufficient online participation, inconsistent data standardization, insecure database, and shortage of talents. Based on the case study of large coal mining enterprises in Ordos and the mechanism analysis from strategic planning, operation management, and marketing, this study puts forward three paths, which are information network management, process intelligence management, and service platform management. Finally, the study points out that data mining, marketing strategy, data standards, data security, and team construction should be improved.
Knowledge and Use of Oral Rehydration Solution in the Management of Childhood Diarrhoea among Mothers in a Tertiary Health Facility in Port-Harcourt, Nigeria

Introduction: Oral rehydration solution (ORS) has been a life-saving remedy in the home and hospital management of dehydration, particularly in infants and children under the age of five. The improper use has however resulted in morbidity and mortality in children. The purpose of this study is to assess proper use of ORS by mothers in the management of diarrhoea in under-five children. Methods: A cross-sectional study was conducted over 3 months. Mothers of children under five years of age presenting with diarrhoea at the Diarrhoea Training Unit of a tertiary hospital were interviewed using a pretested structured interviewer-administered questionnaires. Data was analysed using SPSS version 20.0. Results: A total of 90 mothers were interviewed. 86.7% of respondents were of a high socioeconomic class. 51.1% of children with diarrhoea were between 6-15months of age. (Mean age of 17 + 12.3 months). Although 93.3% of mothers were aware of ORS, 64.4% reported using it to treat their children. Only 40 (44.4%) respondents constituted ORS appropriately and discarded unused portions at 24 hours. Conclusion: Although mothers of under-five children are aware of the efficacy of ORS in the management of diarrhoea, their knowledge of its proper use is limited. Increased awareness among mothers of under-five children about the proper use of ORS is necessary to avoid debilitating complications such as dehydration, electrolyte imbalance, etc.
Effectiveness of Using Augmented Reality for Training in the Medical Professions: Meta-analysis

Background Augmented reality (AR) is an interactive technology that uses persuasive digital data and real-world surroundings to expand the user's reality, wherein objects are produced by various computer applications. It constitutes a novel advancement in medical care, education, and training. Objective The aim of this work was to assess how effective AR is in training medical students when compared to other educational methods in terms of skills, knowledge, confidence, performance time, and satisfaction. Methods We performed a meta-analysis on the effectiveness of AR in medical training that was constructed by using the Cochrane methodology. A web-based literature search was performed by using the Cochrane Library, Web of Science, PubMed, and Embase databases to find studies that recorded the effect of AR in medical training up to April 2021. The quality of the selected studies was assessed by following the Cochrane criteria for risk of bias evaluations. Results In total, 13 studies with a total of 654 participants were included in the meta-analysis. The findings showed that using AR in training can improve participants' performance time (I2=99.9%; P<.001), confidence (I2=97.7%; P=.02), and satisfaction (I2=99.8%; P=.006) more than what occurs under control conditions. Further, AR did not have any effect on the participants’ knowledge (I2=99.4%; P=.90) and skills (I2=97.5%; P=.10). The meta-regression plot shows that there has been an increase in the number of articles discussing AR over the years and that there is no publication bias in the studies used for the meta-analysis. Conclusions The findings of this work suggest that AR can effectively improve performance time, satisfaction, and confidence in medical training but is not very effective in areas such as knowledge and skill. Therefore, more AR technologies should be implemented in the field of medical training and education. However, to confirm these findings, more meticulous research with more participants is needed.
Three 10W C-band Power Amplifier Alternatives for use in TT&C-Transmitters

This thesis describes the first stage in designing and realizing three 10W C-band power amplifier alternatives based on the GaN-technology for use in Kongsberg Norspace’ future TT&C-transmitters. The operational frequency range spanned from 3.4GHz to 4.25GHz. It was decided to build one single-stage amplifier based on the 10W CGH40010F transistor from Cree and two dual-stage amplifiers with a balanced second stage based on the 6W CGH40006P transistor, from the same manufacturer. A Wilkinson power divider was used to feed each branch in the second stage. In the design procedure, source and load pull simulations were performed in order to retrieve the optimal impedances for each transistor and as a basis for the design of the matching networks. By utilizing a looping method in the design process of the matching networks, it was possible to obtain results that, to some extent, fulfilled the requirements. Simulations and design were carried out in ADS by Keysight (former Agilent). The simulated results showed that all three designs were capable of delivering 10W output power throughout the frequency band. The single-stage amplifier obtained a simulated power added efficiency (PAE) above 45% at 40dBm output power, while the two dual-stage designs achieved a PAE between 41-44% and 34-36%, respectively. S-parameter simulations reviled that the single-stage design accomplished a small signal gain of 11.3dB-11.7dB, while the input reflection coefficients varied between -3dB and -5dB. To achieve the requirement of having the input reflection coefficients less than -10dB, the dual-stage designs utilized an attenuator with 1.5dB loss at the input match, both designs obtained a small signal gain above 20dB. Like the simulated results, the large signal measurements showed that the amplifiers were capable of delivering 10W output power, except the single-stage design at 4.0375GHz (which were one of the test frequencies). The measured power added efficiency for the single-stage amplifier varied between 27%-44%, while the two dual-stage amplifiers obtained a PAE between 39-43% and 35-42%, respectively. This implied that non of the designs managed to fulfill the requirement of having a total power consumption less than 25W over the specified frequency range. A simulated large signal stability analysis were performed on each design and the results revealed that one of the dual-stage designs had a potential instability around 790MHz, and practical spectrum measurements confirmed frequency components at 750MHz, 1.51GHz and 2.25GHz. However, the spurious frequency components had no measurable impact on the performance. A small section presenting the future prospects in terms of utilizing the GaN-technology in Space and suggestions for future work, have also been included. The thesis concluded that several iterations must be done before an integration with the transmitter can be made.
Analyzing network architecture models based on applications

Nowadays, under the background of the global pandemic, people are required to wear face masks. Thus, it is harder to identify a person because features such as mouths and noses are being covered. Discovering a measure to recognize the identity rapidly is regarded as one of the top urgent priorities. Fortunately, thanks to the boost of various network architecture models, the problem is on the way of solving. Actually, the network architectures pose positive impacts not only on facial recognition, but also be beneficial to all aspects of daily life, like image semantic segmentation and object detection, which can be used to divide the goal and background information. The paper mainly analyzes the differences between network architectures LeNet, AlexNet and VGG, including advantages and drawbacks, and provides possible applications of models.