Miracle-dz/UniFAR-FTUs huggingface dataset:
The mediating role of Brand Engagement in the Self-Concept (BESC) in explaining consumer response: a meta-analytic review

ABSTRACT Drawing on self-concept theory, the brand engagement in the self-concept (BESC) construct assesses how consumers incorporate brands in their lives to reinforce their self-schema. Earlier literature on brand engagement suggests that BESC not only influences different consumer response variables, generating mixed outcomes and questionable results, but also plays a mediating role in connecting constructs. The authors extend this line of literature by (1) developing a theoretical framework that includes the influence of materialism and consumer age on consumer response variables through BESC, (2) analyzing the antecedents and consequences of BESC, and (3) testing specific moderators that influence the effect sizes involving BESC. In terms of data collection and analyses, the authors present a meta-analysis of 40 studies that generate 449 effects with 142,808 respondents. To test the theoretical mediating framework, the authors convert all effect sizes in a covariance matrix and use structural equation modeling for estimating the mediating effect of BESC on consumer response. Findings suggest that the indirect effect of materialism and age boost loyalty, behavioral intention, and interactivity through BESC. Second, BESC positively increases the levels of attitude, shopping behavior, quality, and status. Third, our moderating analyses reveal that type of good (product vs. service), type of respondent (students vs. non-students), and data collection mode (online vs. face-to-face) interact with BESC in explaining other variables.
Nursing Students’ Experiences in Providing Patient Education in the Clinical Setting

Background: Patient education is associated with reduced hospital readmission rates, lower patient anxiety, and improvement in quality of life. Although nursing students report feeling ill-prepared and less confident in educating their patients in clinical settings, few studies have assessed their perspectives on this topic.Method: This study explores the perceived challenges, obstacles, self-efficacy, and preparedness of undergraduate nursing students in providing patient education by collecting qualitative data through focus group discussions (FGDs). Results: Five major themes emerged from the FGDs: significance of patient education, nursing process in providing patient education, evolving sense of preparation, evolving sense of confidence, challenges/barriers to providing patient education. While all interviewed nursing students felt that patient education was a vital nursing responsibility, advanced students had more confidence and knowledge regarding this responsibility.Conclusion: Understanding the nursing student experience in patient education preparedness may aid nursing instructors in better tailoring nursing curricula and support to meet their students' needs.
Robust active-reactive power control of a doubly-fed induction generator

In this paper a torque tracking and reactive-power regulating controller for doubly-fed induction generator is developed. This solution doesn't need stator current measurements and shows good robustness with respect to parameter uncertainties and measurement errors. Hence machine characterization is not critical and a standard position/velocity sensor (encoder) can be used. The Lyapunov-like method and back-stepping procedure are used to design the controller. A particular starting procedure has been developed in order to minimize initial transient after connection of the generator to the line grid.
Optimizing Inspection Policies for Buried Municipal Pipe Infrastructure

Condition assessment is an integral component in any infrastructure asset management system. Without condition information, asset managers lack the ability to make appropriate decisions regarding needed maintenance, rehabilitation, and replacement of infrastructure. Existing and emerging technologies for assessing the condition of water and sewer pipes provide a better picture of the state of these buried assets. Unfortunately, many of these technologies are costly and provide results that are not always highly reliable. This paper presents a methodology to assist asset managers in balancing the value of information revealed by a condition assessment technology with the cost of obtaining this information. The paper describes the computational platform of the developed methodology and focuses primarily on the optimization process that utilizes the partially observable Markov decision process (POMDP) and genetic algorithms. This policy determines the most appropriate condition assessment technology and interval between inspections. The developed methodology takes into consideration direct and indirect costs of infrastructure failure. Optimization models are developed at both the asset and network levels. A case study of the water distribution network for the city of Hamilton, Canada, is presented to demonstrate the use and capabilities of the developed methodology. At the asset level, results allow the asset manager to select the most suitable condition assessment technology and inspection interval for a particular pipe. At the network level, results enable the proper allocation of a condition assessment budget across all pipes in the system.
RC-COUPLED SHEAR WALL STRUCTURES. II: ULTIMATE STRENGTH CALCULATIONS

Three modes of failure of reinforced concrete coupled shear wall structures, observed in microconcrete models of 15‐story structures, are described. A method is proposed to predict the mode of failure and the ultimate strength of coupled shear wall structures. The method is based on the evaluation of the strengths of the coupling beams and the walls at failure. Two lateral load cases have been considered: a point load at the top and a four‐point equivalent triangular distribution. The proposed analysis and the test results are compared.
First Order Fire Effects Model: FOFEM 4.0, user's guide

A First Order Fire Effects Model (FOFEM) was developed to predict the direct consequences of prescribed fire and wildfire. FOFEM computes duff and woody fuel consumption, smoke production, and fire-caused tree mortality for most forest and rangeland types in the United States. The model is available as a computer program for PC or Data General computer.Current information on FOFEM
The Effectiveness of Exercise Interventions Supported by Telerehabilitation For Recently Hospitalized Adult Medical Patients: A Systematic Review

Objective: To evaluate the effectiveness of exercise interventions delivered via telerehabilitation (via videoconference) for recently hospitalized adult medical patients. Data sources: A search was undertaken across six databases for English language publications from inception to May 2020. Methods: Studies were selected if they included an exercise intervention for recently hospitalized adults, delivered by a physiotherapist via videoconference. Two reviewers independently screened 1,122 articles (21 full text screening) and assessed methodological quality using the Downs and Black Checklist. A narrative synthesis of the included studies was undertaken. Results: Three studies met eligibility criteria involving 201 participants with chronic heart failure or chronic obstructive pulmonary disease. Findings demonstrated limited evidence supporting the effectiveness of exercise delivered via telerehabilitation in improving physical function and patient reported quality of life outcomes in recently hospitalized medical patients. Telerehabilitation in this setting was also associated with high attendance rates and patient satisfaction. Conclusions: Findings provide preliminary support for the benefits of exercise interventions delivered via telerehabilitation for recently hospitalized medical patients. Results do need to be interpreted with caution as further high-quality studies specific to this method of exercise intervention delivery are needed.
Reduction of Mutual Coupling Between PIFA Antennas for Dual‐Band WiMAX Operations

In this article, a simple and efficient approach is proposed to reduce the mutual coupling between two dual‐band planar inverted‐F antennas. The present isolation structures including one defected ground structure and two “F”‐type strips are introduced to effectively reduce the mutual coupling for two worldwide interoperability for microwave access/2.5 GHz/3.5 GHz bands. By the present method, at least 6 dB reductions of mutual couplings for the two working frequency bands have been obtained, which are verified by measurement results. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2321–2324, 2013
Food Image Recognition and Food Safety Detection Method Based on Deep Learning

With the development of machine learning, as a branch of machine learning, deep learning has been applied in many fields such as image recognition, image segmentation, video segmentation, and so on. In recent years, deep learning has also been gradually applied to food recognition. However, in the field of food recognition, the degree of complexity is high, the situation is complex, and the accuracy and speed of recognition are worrying. This paper tries to solve the above problems and proposes a food image recognition method based on neural network. Combining Tiny-YOLO and twin network, this method proposes a two-stage learning mode of YOLO-SIMM and designs two versions of YOLO-SiamV1 and YOLO-SiamV2. Through experiments, this method has a general recognition accuracy. However, there is no need for manual marking, and it has a good development prospect in practical popularization and application. In addition, a method for foreign body detection and recognition in food is proposed. This method can effectively separate foreign body from food by threshold segmentation technology. Experimental results show that this method can effectively distinguish desiccant from foreign matter and achieve the desired effect.
Comparison of the psychological health of students at the higher institutes of nursing and health techniques: A Moroccan multicentre study

Background: Mental health is essential to students’ academic success as well as their ability to participate fully and meaningfully throughout all aspects of their lives and throughout their lifespan. Aims: This study aims to determine the psychological health status of Moroccan nursing and technique health students. In doing so, it also seeks to compare differences based on sociodemographic factors. Method: A multicenter cross-sectional study with a convenience sample was conducted with 2,054 participants in the academic year of 2018/2019. A set of socio-demographic information were collected, and The General Health Questionnaire-12 (GHQ-12) was used. Results: The mean GHQ-12 score was 4.33 ± 2.61, and 58.7% respondents scored 4 and above in the GHQ-12 scores and thus were considered to be in psychological distress. Students’ psychological distress was associated with female gender (60.4% for female compared to 52.4% for men, p = .003); living in parental residence (61.6% compared to 54.7% living away parental residence; p = .02 ), the second and the third training level year respectively (64.6%; 59.2%) compared to first-year (55.2%, p = .001), and midwifery and nursing students (61.6%; 60.3%) as compared to technique health students (43.6%, p = .001). Conclusions: It appears that a substantial number of students have psychological distress and this is likely to have negative effects on students’ educational attainment and wider wellbeing.
Enhancing Cross-Project Learning

Abstract: Organizations are increasingly using projects to conduct a wide range of activities. In the IT industry, in particular, projects are the basic way of working. Even in project-based organizations, there is often a problem of capturing the learning from projects so that it is available for use by other projects. Instead, each project tends to start from scratch, often making the same mistakes as others have made before. This happens even though most organizations have now instituted project reviews, which ensure that project team members capture what they have done on a particular project, codify these lessons in a written document of some kind, which is then stored on a database that others can search at a later point in time. The effectiveness of this information and communication technologies (ICT) approach to capturing and sharing project learning has not been found to be very effective. This is confirmed in the study that is reported in this article. More importantly, the author explores the reasons this approach is typically not very effective. Cross-project learning can be enhanced if project reviews focus on capturing lessons related to the processes and procedures that have been successfully used, and if these lessons are shared through social networks that project members can make use of when they need help with a problem that cannot be easily solved using the existing knowledge and expertise of team members.
Neurological repercussions of neonatal nicotine exposure: A review

Smoking during pregnancy is hazardous to both the mother and the foetus, according to a substantial amount of recorded data. Exposure to nicotine and other compounds in cigarette smoke increases the risk of sudden infant death syndrome (SIDS) by two to five times during pregnancy. Serotonergic abnormalities have been discovered in SIDS infants in the zone of the medulla oblongata, which is known to control cardio‐respiratory function. SIDS establishes a connection between depression, learning difficulties and behavioural disorders. Prenatal nicotine intake during the second trimester affects the dopaminergic neurological system, making the foetal brain more susceptible to nicotine and developing ADHD symptoms not just in a foetus but in adolescents also. Prenatal nicotine exposure alters the neurological route of neurotransmitters, acetylcholine and dopamine. Nicotine enhances neuronal activity in adults but desensitizes these processes in babies and young children exposed prenatally. The impact of a neurotoxin like nicotine is determined by the amount and duration of exposure. Continued exposure throughout pregnancy will influence a wide range of activities in the neurodevelopment, whereas exposure confined to a single stage of pregnancy may only affect the processes that are forming at that stage. To decrease the effect of nicotine on neonates due to maternal smoking strategies like nicotine replacement therapy (NRT), folic acid treatment and other behavioural treatments have been studied. Hence, this review focuses on the impact of exposure to nicotine on neonates, which results in various neurological consequences and smoking cessation therapies.
Levels of automation: effects of individual differences on wheelchair control performance and user acceptance

This paper presents an evaluation of the levels of automation. It draws on a prototype of an electrically powered wheelchair as an example of an ordinary automation device operated by less trained users with a broad range of abilities. A study is described during which 21 participants drove through a standardised course three times. Each time, another level of automation was active. As criteria, joint human-automation performance and user acceptance were measured. As predictors, fine motor abilities were assessed and task complexity was recorded. The analyses showed that higher levels of automation achieved lower user acceptance ratings. In contrast, higher levels of automation fostered better performance especially when less able participants steered the wheelchair and when the routes were more complex.
Use of computer vision in assessment of air quality in city transportation system

An approach to the formation of a description of the city's transport system is considered in order to identify the most polluted road spans with vehicle exhaust gases. The quantitative characteristics of pollution are determined in accordance with the standard Russian GOST R 56162-2019. When estimating emissions from road transport, information presented on the web in graphical form about traffic jam is used. In addition, the information on the number of cars, average speed and type of transport obtained by analyzing the video stream from web cameras by the YOLO neural network (version 4) is also used. The binding of pollution results to the transport system is formalized using the transport system ontology. The results can be used in dynamic models of pollution in urbanized areas.
Gibberellic Acid and Jasmonic Acid Improve Salt Tolerance in Summer Squash by Modulating Some Physiological Parameters Symptomatic for Oxidative Stress and Mineral Nutrition

Gibberellic acid (GA) and jasmonic acid (JA) are considered to be endogenous regulators that play a vital role in regulating plant responses to stress conditions. This study investigated the ameliorative role of GA, JA, and the GA + JA mixture in mitigating the detrimental effect of salinity on the summer squash plant. In order to explore the physiological mechanisms of salt stress alleviation carried out by exogenous GA and JA, seed priming with 1.5 mM GA, 0.005 mM JA, and their mixture was performed; then the germinated summer squash seedlings were exposed to 50 mM NaCl. The results showed that a 50 mM NaCl treatment significantly reduced shoot and root fresh and dry weight, water content (%), the concentration of carotenoid (Car), nucleic acids, K+, and Mg++, the K+/Na+ ratio, and the activity of catalase (CAT) and ascorbate peroxidase (APX), while it increased the concentration of proline, thiobarbituric acid reactive substances (TBARS), Na+, and Cl− in summer squash plants, when compared with the control. However, seed priming with GA, JA and the GA + JA mixture significantly improved summer squash salt tolerance by reducing the concentration of Na+ and Cl−, TBARS, and the Chl a/b ratio and by increasing the activity of superoxide dismutase, CAT, and APX, the quantities of K+ and Mg++, the K+/Na+ ratio, and the quantities of RNA, DNA, chlorophyll b, and Car, which, in turn, ameliorated the growth of salinized plants. These findings suggest that GA and JA are able to efficiently defend summer squash plants from salinity destruction by adjusting nutrient uptake and increasing the activity of antioxidant enzymes in order to decrease reactive oxygen species accumulation due to salinity stress; these findings offer a practical intervention for summer squash cultivation in salt-affected soils. Synergistic effects of the GA and JA combination were not clearly observed, and JA alleviated most of the studied traits associated with salinity stress induced in summer squash more efficiently than GA or the GA + JA mixture.
Global interconnect width and spacing optimization for latency, bandwidth and power dissipation

This paper addresses a novel methodology optimizing global interconnect width and spacing for International Technology Roadmap for Semiconductors technology nodes. Global interconnects with and without buffer insertion are considered. The effects of the width and spacing of global interconnects on performance, such as delay, bandwidth, total repeater area and energy dissipation, are analyzed. The product of delay and bandwidth is used as the figure of merit for simultaneous short latency and large bandwidth and the proposed methodology can optimize global interconnects for the maximal figure of merit. It is demonstrated that buffers should not be inserted in global interconnects if interconnect length is shorter than a critical length, which is a constant for a given technology. For global interconnects with buffer insertion, the optimal width and spacing have analytical expressions and are constants for a given technology. For global interconnects without buffer insertion, the optimal width and spacing are dependent on both the technology parameters and interconnect length and can be computed numerically.
Stable sound source tracking based on two updating algorithms

In this paper, we present a stable sound source tracking method based on two updating algorithm. In the method, an eigenvector spanning the signal subspace is updated by using the Projection Approximation Subspace Tracking (PAST) algorithm without the eigen‐decomposition of a correlation matrix. Then, a constrained minimization problem is formulated taking into account the stability, and the solution is determined successively by applying the Interior Point Least Square (IPLS) algorithm. As a result, stable tracking can be achieved without the peak search of a MUltiple SIgnal Classification (MUSIC) spectrum, which often requires enormous computational costs because many complex multiplying operations are involved. Several experimental results in real room environments have demonstrated the high accuracy and the low computational costs of the proposed method. © Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.
Cunninghamella bertholletiae’s Toxins from Decomposing Cassava: Mitigation Strategy for Toxin Reduction Using Nepenthes mirabilis ‘Monkey Cup’ Digestive Fluids

A fermentation technique was utilised to assess a fungus, i.e. Cunninghamella bertholletiae/polymorpha, isolated from rotting cassava, ability to produce mycotoxins and resultant oxidation by-products of the mycotoxins using liquid chromatography–mass spectrometry (LC/MS). Thus, the mycotoxins/secondary metabolites, fumonisin B1 (FB1) and deoxynivalenol (DON) were produced while, heptadecanone, octadecanamide, octadecenal and 3-keto-deoxynivalenol (DON) were successfully identified as biodegradation by-products in the fermentation broth treated with hydrolysing ‘monkey cup’ juice from Nepenthes mirabilis. Exposure to the mycotoxins and the biodegradation by-products through consumption of contaminated produce including contact due to the cumulative presence in arable agricultural soil can be harmful to humans and animals. Therefore, this work reports on a strategy for the mitigation and reduction of mycotoxins in agricultural soil using natural plant pitcher juices from N. mirabilis’ ‘monkey cup’.
Post-implementation appraisal of a two-stage channel in the river Roding, Essex

The performance of a two-stage river channel is examined from a combination of collected field data on the River Roding and a hydraulic model study. Particular attention is paid to the vegetation on the upper channel berm, including its seasonal effect on hydraulic resistance and the problem of channel maintenance. Recommendations are made with respect to (a) increasing the present capacity of the River Roding, and (b) the future design of two-stage flood channels intended to meet stringent environmental standards.