Miracle-dz/UniFAR-FTUs huggingface dataset:
Preparation and Physicochemical Properties of Tannin-Immobilized Membrane Adsorbent

Plant tannins have the ability to form stable complexes with metal ions, while microporous membranes have low pressure drop and high flux characteristics. Combining these two materials, a new type of tannin-immobilized membrane (M-TAN) adsorption material has been developed. The PA-BWT, PVDF-BWT, CELL -BWT, and PA-AA-BWT were prepared using different types of microporous membranes as substrates, which maintained the porous structure of the membranes and had the characteristics of high flux and fast filtration rate. The surface contact angle and pure water flux analysis showed that the introduction of tannin with multi-phenolic hydroxyl groups increased the hydrophilicity and water flux of the M-TANs. The adsorption performance shows that the adsorption capacity of four kinds of M-TANs for UO22+ is in the order of PA-BWT > PA-AA-BWT > PVDF-BWT > CELL-BWT, and PA-BWT has the largest adsorption capacity of 0.398 mmol g−1. In addition, the adsorption isothermal and kinetic data of PA-BWT were well fitted by the Langmuir equation and the Elovich model, respectively. The negative values of ΔG for UO22+ adsorption on PA-BWT indicated that adsorption is a spontaneous and favorable process. These facts indicate that PA-BWT can be used as a low-cost adsorbent for effective removal of UO22+ from aqueous solutions.
The value of employment support services for adults on the autism spectrum and/or with intellectual disabilities: Employee, employer, and job coach perspectives

BACKGROUND: Employment rates among individuals on the autism spectrum or with intellectual disabilities (ID) remain extremely low. Although job coaching services have contributed to successful employment for these individuals, few studies have examined the importance of such support, and even fewer have explored which services are valued most by stakeholders. OBJECTIVE: We examined the importance of employment support services through employee, employer, and job coach perspectives, and employee and employer satisfaction of job coach support. METHODS: A multiple-case study was designed with a community organization providing employment support to individuals on the autism spectrum or with ID, and their employers. Nine employee-employer-job coach triads evaluated the importance of specific services and rated their satisfaction with the job coach support. RESULTS: Services were rated as important, however, some discrepancies were observed between the groups in their ratings of services (e.g., soliciting regular feedback about the employee’s performance). Satisfaction was high for employees and employers; both groups indicated that they would recommend these services. CONCLUSIONS: Job coach support was highly valued by all groups, underscoring the need for these services to be widely available, and suggesting that this support may serve as a critical factor in improving employment outcomes among this population.
Best Practice Operation of Reversible Express Lanes for the Kennedy Expressway

Reversible lanes in Chicago’s Kennedy Expressway are an available infrastructure that can significantly improve traffic performance; however, a special focus on congestion management is required to improve their operation. This research project aims to evaluate and improve the operation of reversible lanes in the Kennedy Expressway. The Kennedy Expressway is a nearly 18-mile-long freeway in Chicago, Illinois, that connects in the southeast to northwest direction between the West Loop and O’Hare International Airport. There are two approximately 8-mile reversible lanes in the Kennedy Expressway’s median, where I-94 merges into I-90, and there are three entrance gates in each direction of this corridor. The purpose of the reversible lanes is to help the congested direction of the Kennedy Expressway increase its traffic flow and decrease the delay in the whole corridor. Currently, experts in a control location switch the direction of the reversible lanes two to three times per day by observing real-time traffic conditions captured by a traffic surveillance camera. In general, inbound gates are opened and outbound gates are closed around midnight because morning traffic is usually heavier toward the central city neighborhoods. In contrast, evening peak-hour traffic is usually heavier toward the outbound direction, so the direction of the reversible lanes is switched from inbound to outbound around noon. This study evaluates the Kennedy Expressway’s current reversing operation. Different indices are generated for the corridor to measure the reversible lanes’ performance, and a data-driven approach is selected to find the best time to start the operation. Subsequently, real-time and offline instruction for the operation of the reversible lanes is provided through employing deep learning and statistical techniques. In addition, an offline timetable is also provided through an optimization technique. Eventually, integration of the data-driven and optimization techniques results in the best practice operation of the reversible lanes.
Effect of Light Irradiation on the Diffusion Rate of the Charge Carrier Hopping Mechanism in P3HT:ZnO Nanoparticles Studied by μ +SR

Blended regio-regular P3HT–ZnO nanoparticles are a hybrid material developed as an active layer for hybrid solar cells. The study of the hopping mechanisms and diffusion rates of regio-regular P3HT–ZnO nanoparticles is significant for obtaining intrinsic charge transport properties that provide helpful information for preparing high-performance solar cells. The temperature dependences of the parallel and perpendicular diffusion rates in regio-regular P3HT–ZnO nanoparticles determined from muon spin relaxation measurements were investigated by applying various longitudinal fields. We investigated the effect of light irradiation on the diffusion rates in regio-regular P3HT–ZnO nanoparticles. We found that with increasing temperature, the parallel diffusion rate decreased, while the perpendicular diffusion rate increased. The ratio of the parallel to perpendicular diffusion rate (D‖/D⊥) can be used to indicate the dominant charge carrier hopping mechanism. Without light irradiation, perpendicular diffusion dominates the charge carrier hopping, starting at 25 K, with a ratio of 1.70×104, whereas with light irradiation, the perpendicular diffusion of the charge carrier starts to dominate at the temperature of 10 K, with a ratio of 2.40×104. It is indicated that the additional energy from light irradiation affects the diffusion, especially the charge diffusion in the perpendicular direction.
A Vax4HPV Mobile Application for Parents of Human Papillomavirus Vaccine–Eligible Children

Although the human papillomavirus vaccine is efficacious, 40% of 13-year-old adolescents have been vaccinated for human papillomavirus. Implementing theory-based, user-centered applications can address this suboptimal coverage. This formative usability test aimed to develop a theory-based, user-centered interface to stimulate and inform parents' decision making on human papillomavirus vaccination and to help them act upon that decision. Iterative formative assessments were conducted through four focus groups of parents of children aged 9 to 14 years (N = 15). Participants discussed the desired content and features of a vaccine for human papillomavirus smartphone application while reviewing application prototypes. The discussions were recorded, transcribed verbatim, and then underwent qualitative content analysis. Four of the discovered themes were related to the content desired by parents: sources of information, facilitators of human papillomavirus vaccination, addressing the reasons for vaccine hesitancy, and gender-neutral content. The remaining three themes concerned the application's desirable designs and features: clear and descriptive interfaces, accessibility to broad groups of end users, and closing the intention-behavior gap. The need for adolescent human papillomavirus vaccination was generally well received by participants. This study found that theory-based, user-centered applications offering directions to appropriate clinics and human papillomavirus vaccine recommendations offered by nurses, can mitigate hesitancy by providing information via preferred routes and closing intention-behavior gaps.
Approaching Negotiations in Urban Redevelopment Projects: A Multiple Case Analysis of Stakeholder Involvement in Community Benefit Agreements

ABSTRACT This paper explores planning negotiations in neighbourhood-level urban redevelopment. Rapidly densifying cities routinely approve development projects that exceed zoning permissions, conditional on negotiations with developers for affordable housing and park space, among other public benefits. This paper provides a case analysis on negotiations in multi-actor urban redevelopment projects involving density bonusing in Toronto, Canada. Local actors framed urban redevelopment to justify broad public need, while using their wherewithal to build bargaining power with developers and city councillors. The paper finds that negotiations are symptomatic of ad-hoc planning and perpetuate uneven development processes, which pose challenges for planners to ensure stability and predictability in market-driven, discretionary planning environments.
Effect of the APD Receiver’s Tilted Angle on Channel Capacity for Underwater Wireless Optical Communications

This paper focuses on investigating the effect of the receiver’s tilted angle on the channel capacity of an underwater wireless optical communication (UWOC) system, in which an avalanche photodiode (APD) detector is adopted as the receiver. Under the non-negativity, peak power, and average power constraints, the lower bounds on the capacity of UWOC are derived in detail according to different average-to-peak power ratios. With modeling achieving the maximum of the lower bounds of the capacity as an optimization object, we prove that the proposed optimization issue is in fact a simple convex optimization about the tilted angle of the APD receiver, and then present related theoretical solution for it. Both theoretical analysis and simulation results show that by appropriately tilting the receiver, we can significantly enhance the final capacity performance of the UWOC with APD receiver.
Where Covid metaphors come from: reconsidering context and modality in metaphor

ABSTRACT Pandemics such as Covid-19 are often described in terms of “wars” or “waves” and “troughs. ” But this imagery has its potential shortcomings, and therefore a great many researchers and commentators argue that we are thinking about the coronavirus pandemic the wrong way, suggesting replacing the war or ocean analogy with a better or particularly appropriate one, wildfire. Yet, the rarely asked question is: Where do Covid-19 metaphors come from? This type of metaphorical creativity, the so-called context-induced metaphors, has been somewhat systematically investigated in linguistic metaphor research, but not in the literature on nonverbal and multimodal metaphor. I argue that for context-induced creativity to be fully appreciated we need to move beyond verbal metaphors, or verbal manifestations of metaphor, and consider factors that commonly produce creative multimodal metaphors. Will the evidence from multimodality confirm or challenge the linguistic findings? There may be other major possible sources of metaphorical creativity, ones based more on visual or multimodal thinking, but which have not been identified before because data from non-linguistic behavior had not been examined. I thus show that there is a real gap in the literature in that respect and my study of political cartoons fills this both in terms of data and theory. In this article, I will limit myself to the discussion of six motivational forces or contextual factors (in no order of importance): (1) the immediate physical environment, (2) the immediate cultural context, (3) the immediate social setting, (4) knowledge about the major elements participating in the discourse, (5) physical resemblance between the source and target concepts, and (6) word plays and literalizations of famous proverbs and idioms in a language. Sometimes these factors work singly, but often in combination. It is argued that these kinds of context, albeit involved in discourse production and comprehension, do not control discourse as cognitive context models do. Particularly interesting is that among the thousands of books and articles on knowledge, so little is said on the discursive sources of knowledge (besides perception, personal experience, etc.), also about other cultures. The possible implications of this study for metaphor theory, multimodality, and intercultural communication are discussed.
Quality and Oxidative Changes of Minced Cooked Pork Incorporated with Moringa oleifera Leaf and Root Powder

Consumers are currently demanding meat products produced using natural additives due to their potential health benefits. Consequently, there has been a progressive interest in the search for more natural antioxidant sources. The aim of this study was to evaluate the effect of varying levels of M. oleifera root and leaf powder on the oxidative stability and quality of cooked minced pork during eight days of refrigerated storage at 4 °C. The leaves contained significantly higher (p ˂ 0.05) concentrations of total phenols (50.08 ± 0.01 mg GAE/g), while the roots contained the highest amounts of flavonoids (375.15 ± 0.19 mg QE/g) and proanthocyanidins (132.62 ± 0.4 mg CE/g). Both plant parts demonstrated good 2,2-Diphenyl-2-picrylhydrazyl (DPPH) and 2,2 íazino-bis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) free radical scavenging activity. Minced cooked pork incorporated with M. oleifera leaf and root powder had significantly lower pH and thiobarbituric acid-reactive substances (TBARS) values compared to the control (p < 0.05). The ferric reducing antioxidant power (FRAP) was also significantly higher in the samples that incorporated antioxidants compared to the control (p < 0.05). Findings from this study suggest that M. oleifera leaves and roots are potent antioxidant sources which can be incorporated in meat to improve quality attributes during storage.
Data-Driven Prognostics of the SOFC System Based on Dynamic Neural Network Models

Prognostics technology is important for the sustainability of solid oxide fuel cell (SOFC) system commercialization, i.e., through failure prevention, reliability assessment, and the remaining useful life (RUL) estimation. To solve SOFC system issues, data-driven prognostics methods based on the dynamic neural network (DNN), one of non-linear models, were investigated in this study. Based on DNN model types, the neural network autoregressive (NNARX) model with external inputs, the neural network autoregressive moving average (NNARMAX) model with external inputs, and the neural network output error (NNOE) were utilized to predict the degradation trend and estimate the RUL. First, the degradation trend prediction was executed to evaluate the correctness of the proposed DNN model structures in the first learning phase. Then, the RUL was estimated on the basis of the degradation trend of the NN models in the second inference phase. The comparison test results show the prediction accuracy of the NNARX model is higher and the RUL estimation can be given within a smaller relative error than the NNARMAX and NNOE models. The evaluation criteria of the root mean square error and mean absolute error of the NNARX model are the smallest among these three models. Therefore, the proposed NNARX model can effectively and precisely provide degradation trend prediction and RUL estimation of the SOFC system.
Passive imaging of single photon flux: strategies for de-noising, motion blur reduction and super-resolution up-scaling

Single photon-counting avalanche photo-diode (SPAD) can measure the photon flux from uncorrelated single photons. In present work, we show how the sensor photon count rate is related to the intensity or the radiant flux that is reflected from surfaces in the sensor's field of view and incident on the sensor array. After a brief theoretical discussion of photon flux imaging, we examine various de-noising strategies and the effect of motion blur. Finally, we present the application of a fast super-resolution neural network (FSRCNN) to scale image by a scaling factor of 3× to obtain super-resolution images (32 × 32 → 96 × 96).
On the Remuneration to Electrical Utilities and Budgetary Allocation for Substation Maintenance Management

The liberalization of electricity markets has produced a great change in electrical utilities. One of these changes has affected the methodology for setting their remuneration. Depending on the country, these are different. Despite the wide range of remuneration methodologies for the electricity market of each country, they all feature one common element: the remuneration of operation and maintenance. One of the messages that this remuneration transmits is the need to extend the useful life of the facilities to allow sustainable development. This article focuses on the remuneration schemes of electrical utilities, the classification of substations for the definition of their maintenance programs, and the budget allocation for the execution of maintenance in these critical infrastructures. The particularity of these facilities, in which it is generally necessary to de-energize some of their parts for maintenance, has also been taken into account. To this end, a simple methodology currently used is presented based on the standardization of the bays of the substations and their classification into levels of importance. This classification into levels enables the facilities to be grouped according to similarities in their maintenance plans, although they differ from each other in terms of the periodicity of the application of maintenance procedures. This methodology guarantees a similar distribution of maintenance activities and financial needs over the years. In addition, the methodology allows one to know the importance of each substation (since the greater the equivalent weight, the greater the importance). Finally, the application of the proposed methodology in a real case is presented. It shows the simplicity, effectiveness, and lamination of the budgetary allocation of the proposed methodology, this being the main contribution of the formulation.
A Netnographic-Based Semantic Analysis of Tweet Contents for Stress Management

: Social media platforms provide new value for markets and research companies. This article explores the use of social media data to enhance customer value propositions. The case study involves a company that develops wearable Internet of Things (IoT) devices and services for stress management. Netnography and semantic annotation for recognizing and categorizing the context of tweets are conducted to gain a better understanding of users’ stress management practices. The aim is to analyze the tweets about stress management practices and to identify the context from the tweets. Thereafter, we map the tweets on pleasure and arousal to elicit customer insights. We analyzed a case study of a marketing strategy on the Twitter platform. Participants in the marketing campaign shared photos and texts about their stress management practices. Machine learning techniques were used to evaluate and estimate the emotions and contexts of the tweets posted by the campaign participants. The computational semantic analysis of the tweets was compared to the text analysis of the tweets. The content analysis of only tweet images resulted in 96% accuracy in detecting tweet context, while that of the textual content of tweets yielded an accuracy of 91%. Semantic tagging by Ontotext was able to detect correct tweet context with an accuracy of 50%.
Learning ability of iterative learning control system with a randomly varying trial length

This paper investigates the learning ability of iterative learning control (ILC) system with a randomly varying trial length (RVTL). The randomness of trial length is modelled as a discrete stochastic sequence. Firstly, we study the output controllability of the control system over a finite time interval. It is shown that the control system is completely controllable if and only if the input–output coupling matrix (IOCM) is full-row rank. Secondly, we propose an intermittent learning scheme with state feedback. It is strictly proved that under appropriate constraints on the learning gain and the IOCM, the ILC system with RVTL has full learning ability if and only if the probability that the trial length is equal to the desired one is greater than zero. There must exist state feedback such that the ILC process is monotonically convergent. Meanwhile, we illustrate that the proposed convergence conditions can ensure the almost sure convergence property of system output. Finally, an example is given to illustrate the merits of the ILC system with state feedback.
Comportamiento mecánico de un sistema geopolimérico sintetizado a partir de escoria blanca

En este artículo se evalúa la formación de un geopolímero a partir de escoria de horno cuchara como precursor. Como activador se utilizó hidróxido de sodio 12 Molar y silicato de sodio. Se evaluaron las propiedades mecánicas de compresión y absorción de agua para la formación de un geopolímero, con adiciones de residuos cerámicos (RC). Se prepararon 32 muestras de pasta distribuidas en 8 mezclas con diferentes dosificaciones. La escoria y el RC tenían un tamaño de partícula de 150 m. La variación en peso del silicato de sodio fue de 5% 10 %, 15% y 20 %. Se añadió RC en proporciones de peso de 5 %, 10 %, 15% y 20 %. El curado de la pasta se hizo a temperatura ambiente durante 24 horas. Los resultados obtenidos indican que el tipo de geopolímero formado durante la reacción, adquiere propiedades mecánicas adecuadas para ser utilizado en la industria de la construcción en la elaboración de mampuestos, dándole un aprovechamiento industrial a la escoria y con beneficio ambiental.
Wireless Power Transfer

This paper depicts an original idea to remove the hazardous usage of electrical wires which involve lot of confusion in particularly organizing them and it also involves lot of wear, aging and produced electric spark etc, also transferring power in some areas like high mountains and several ocean region may be difficult, wireless power transfer can play a major role in such areas . Therefore, wireless power transfer technology has made people to look towards it also increasing the developments in the field . So this paper introduces the applications of Wireless Power transfer anywhere in the world also we look into the current developments and the basic problems faced.