Miracle-dz/UniFAR-FTUs huggingface dataset:
How Does the Gus Schumacher Nutrition Incentive Program Work? A Theory of Change

Increased fruit and vegetable (FV) intake is associated with decreased risk of nutrition-related chronic diseases. Sociodemographic disparities in FV intake indicate the need for strategies that promote equitable access to FVs. The United States Department of Agriculture’s Gus Schumacher Nutrition Incentive Program (GusNIP) supports state and local programs that offer nutrition incentives (NIs) that subsidize purchase of FVs for people participating in the Supplemental Nutrition Assistance Program (SNAP). While a growing body of research indicates NIs are effective, the pathways through which GusNIP achieves its results have not been adequately described. We used an equity-focused, participatory process to develop a retrospective Theory of Change (TOC) to address this gap. We reviewed key program documents; conducted a targeted NI literature review; and engaged GusNIP partners, practitioners, and participants through interviews, workshops, and focus groups in TOC development. The resulting TOC describes how GusNIP achieves its long-term outcomes of increased participant FV purchases and intake and food security and community economic benefits. GusNIP provides NIs and promotes their use, helps local food retailers develop the capacity to sell FVs and accept NIs in accessible and welcoming venues, and supports local farmers to supply FVs to food retailers. The TOC is a framework for understanding how GusNIP works and a tool for improving and expanding the program.
E-Marketing Communication and Loyalty in Real Estate Customers Based on Their Income

The real estate industry is one of the most profitable activities worldwide, for instance, GDP-wise in 2020 it had a share of 5.8% within the Mexican economy, that is above 62 billion dollars (Statista, 2022; The World Bank, 2022). An activity with such relevance should keep up with world trends such as digitalization, e-commerce, and communication especially during the pandemic. COVID-19 accelerated the need of a multichannel integration in order to compete in today’s fierce competition. Digitalization has helped companies and people to find each other allowing them to communicate and exchange value, all of these resulting in long relationships. The problem analyzed within this research is made up of the little knowledge the realtors have regarding digital tools and how they can use them in their daily work activities as well as the effect they may have. Therefore, the purpose of this study is to analyze the influence of e-marketing communication on customer’s loyalty in the real estate business and to find out if there are any variations in terms of people's income. PLS-SEM was used so as to determine the link between each of the constructs in the proposed model, results show that e-marketing communication has a favorable and significant impact on customer loyalty, and that this influence is related to people's income.
How Do Environmental Technology Standards Affect the Green Transformation? New Evidence from China

During the period of high-quality development in China, environmental regulations have been regarded as powerful exogenous forces, especially for accelerating the green transformation of the manufacturing industry. Treating the first implementation of cleaner production industry standard policies in 2003 as a quasi-natural experiment, and employing the difference-in-differences (DID) model, this paper discusses the impacts of environmental technology standards on the green transformation of the manufacturing industry in China, with systematic consideration of three technological modification mechanisms, including terminal governance, capital renewal, and resource structure adjustments. The results show that: (1) environmental technology standards can have “win–win” effects, i.e., environmental technology standards can simultaneously improve the environmental performance and the economic performance; (2) the dynamic effects of environmental technology standards are proven in the parallel trend test; (3) environmental technology standards can not only promote the green transformation of the manufacturing industry directly, but can also mediate the effects of terminal governance, capital renewal, and resource structure adjustments. In summary, this paper makes four suggestions for government actions, namely re-examining command-and-control environmental regulations, paying attention to environmental regulation tools, changing the mechanism from technological modification to technological innovation, and updating environmental technology standards regularly.
Off-center effect of a new organ-based tube-current modulation on the image quality and dose reduction to the eye lens

Poster: "ECR 2014 / C-1357 / Off-center effect of a new organ-based tube-current modulation on the image quality and dose reduction to the eye lens" by: "S. Kudomi1, F. Yurino1, A. Hashimoto1, Y. Ueda2, K. Ueda1; 1Ube/JP, 2Ube /JP"
Wideband cavity‐backed log‐periodic‐slot end‐fire antenna with vertical polarization for conformal application

A 6–18 GHz wideband cavity‐backed log‐periodic‐slot end‐fire antenna with vertical polarization for conformal application is presented. The log‐periodic folded slots and parasitic slots with 10 slot elements are applied to cover 6–18 GHz frequency band and the log‐periodic metallic cavity is placed under each slot element to keep wideband performance and prevent the effects of large metallic carrier on radiation patterns. The ground plane etched with log‐periodic slots is reversed and touched directly to the backed cavity and a dielectric cover is added to the antenna, to further improve the antenna performance. Meanwhile, a broadband microstrip‐coplanar waveguide transition is inserted in the antenna for measurements. With these designs, the proposed antenna shows good impedance matching (|S11|<27 dB) and end‐fire gain (>4 dBi) performances in 6–18 GHz. The proposed antenna also keeps low‐profile and easy flush‐mounted characteristic which is suitable for conformal applications of high speed moving carriers.
Chronic Bell's Palsy Literature Review and Case Report

Bell’s palsy, or idiopathic peripheral facial nerve palsy is a neurologic condition characterized by unilateral weakness of facial muscles. The evidence-based guidelines mostly consider the acute treatment of Bell’s palsy. However, chronic cases of Bell’s palsy are not supported by strong evidence regarding treatment options, except for a weak recommendation to utilize physical therapy. This case report has presented an application of a combination of physical therapy modalities (Mirror Book Therapy, High Inten-sity Laser Therapy, and Acupuncture) within 10 weeks, to treat a patient with long-term sequelae. This combination of therapies has resulted in a significant improvement in the level of recovery measured by facial grading scales. However, further research is necessary to provide stronger evidence regarding the benefits of this treatment option.
An Antenna Design for the Miniaturization of the RFID Tag

A novel matching way between antenna of a 2.45GHz active RFID tag and power amplifier (PA) is presented in this paper. Dipole antenna is not only used as a transmitting antenna of the RFID tags, but also as a differential amplifier resonant inductor. The total PA chip size is reduced greatly to only 240μm70μm in a 0. 18μm CMOS process due to saving two on-chip integrated inductors. The total tag size is reduced greatly to only 42mm18mm owing to meandered dipole antenna.
Real-Time Travel Time Prediction Based on Evolving Fuzzy Participatory Learning Model

Urban expressways take on rapid and external transport in the city due to their fast, safe, and large capacity. Implementing intelligent and active traffic control can effectively improve the performance of urban traffic and mitigate the urban traffic congestion problem. Real-time traffic guidance is one critical way of intelligent active traffic control, and travel time is the most important input for real-time traffic guidance. We employed and improved a machine learning method called the evolving fuzzy participatory learning (ePL) model to predict the freeway travel time online in this paper. The ePL model has a promising nonlinear mapping potential, which is well suitable for the traffic prediction. We used generalized recursive least square (GRLS) to improve the estimation accuracy of the model’s parameters. This model is a fuzzy control model. Its output is the forecasting result which is also the fuzzy reasoning result. We tested this model by comparing it to other travel time prediction approaches, with the freeway data from the Caltrans Performance Measurement System. The results from the improved ePL model showed mean absolute error of 5.941 seconds, mean absolute percentage error of 1.316%, and root mean square error of 10.923 s. The performances are better than those of the baseline models including ARIMA and BPN. This model can be used to predict the travel time in the field to be used for active traffic control and traffic guidance.
Structural, morphological and magnetic properties of Zn1−xCoxO prepared by sol—gel and hydrothermal method combined

Cobalt-doped ZnO powder samples were prepared by sol—gel and hydrothermal method combined. The prepared powder samples were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM), electron paramagnetic resonance (EPR) and vibrating sample magnetometry (VSM). XRD patterns show that all the samples have a single pure phase with wurtzite structure suggesting that Co2+ occupied Zn2+ sites in the ZnO crystal lattice. SEM images show that crystal grains of cobalt-doped ZnO are hexagonal cone or spheroidal. EPR pattern shows that all of the samples possess oxygen vacancy. Measurement of magnetism indicates that all the samples exhibit room temperature ferromagnetism (RTFM) embedded in a dominant diamagnetic or paramagnetic signal. The dominant signal turns from diamagnetic to paramagnetic with the increase of Co concentration. The magnetic behavior can attribute to defects and Co doping.
Acute Health Consequences from Electronic Cigarettes: A Narrative Review

Electronic cigarettes (e-cigarettes) is relatively recently introduced to the market. Its long-term effects are still unclear and require years of research. On the other hand, knowledge about the short-term effects of e-cigarettes is emerging. The purpose of this review was to examine the current literature on the acute health consequences associated with the e-cigarette. We used pre-specified keywords to conduct searches in academic databases of articles published between 2011 and 2020. This review focused on acute health consequences of e-cigarettes in humans that can be directly attributed to the e-cigarette. Burns and injuries associated with device explosion, e-liquid intoxication, e-cigarette or vaping product use-associated lung injury, and pneumomediastinum were identified as acute health consequences associated with e-cigarettes. Except for pneumomediastinum, these acute health consequences are unique to an e-cigarette that are unlikely to be caused by a conventional cigarette. In the short term, the e-cigarette is likely more harmful than the conventional cigarette. Tightening safety regulations on the manufacturing, distribution, and sale of e-cigarette devices is recommended. Compulsory child-resistant containers for e-liquid containers, banning or restriction the use of colorful labels on e-liquid containers, and compulsory warning labels on e-liquid containers are recommended to prevent child’s ingestion of e-liquid.
Use of artificial bark covers to investigate the distribution and abundance of arboreal lizards in a floodplain environment

Abstract. Arboreal lizards, especially species that inhabit flood-prone environments, have been poorly surveyed worldwide. We examined spatiotemporal patterns in arboreal lizard abundance and factors driving detection rates in floodplain environments using artificial bark covers, a non-destructive and cost-effective survey method. In total, 112 flexible, closed-cell foam bark covers were installed on eucalypt trees in 13 wetlands in the Murrumbidgee River floodplain of southern New South Wales, Australia, stratified by two inundation frequency treatments. Of four arboreal lizard species detected, the southern marbled gecko (Christinus marmoratus) (n = 41) and the tree dtella (Gehyra versicolor) (n = 8) were restricted to the mid-Murrumbidgee region, whereas the crevice skink (Egernia striolata) (n = 19) was restricted to the lower-Murrumbidgee region and did not co-occur with either gecko species. Mean detection rates of lizard species did not differ between frequently and infrequently inundated treatments but their abundance beneath covers varied significantly by month. For all detected lizard species, the presence/absence of the arachnid Holconia murrayensis represented a significant variable in explaining lizard occurrence patterns, particularly that of C. marmoratus. Artificial bark covers are a useful survey method for collecting distribution, abundance, and occupancy data on floodplain reptiles, although detection rates can be affected by the month, predator–prey interactions, and survey effort. Adopting passive, non-destructive reptile survey methods would greatly improve our knowledge of species’ distributions and abundance patterns in vegetation communities subject to disturbance events.
Premature Termination Codon of 1Dy12 Gene Improves Cookie Quality in Ningmai9 Wheat

The area between middle and lower reaches of the Yangtze River is the largest region for soft wheat production in China. In soft wheat breeding, the lack of germplasm with desirable quality for end-use products is a barrier. Ningmai9 is the main variety of soft wheat planted in this area. To create germplasm with better quality and yield potential than Ningmai9, mutants of HMW-GSs in Ningmai9 induced by ethylmethanesulfonate (EMS) were obtained. SDS-PAGE showed that two mutants, md10 and md11, were HMW-GS 1Dy deletions. DNA sequencing confirmed that one mutation was caused by a C/T substitution, resulting in the change of CAA encoding glutamine into the termination codon TAA, and another mutation was due to a G/A substitution in the central repetitive domain of the coding region, causing TGG encoding tryptophan to become the termination codon TGA. The premature termination codon of the 1Dy12 gene affected the expression of 1Dy12 and kept the mRNA at a lower transcription level during the kernel development stage in comparison with the wild type. HMW-GS 1Dy12 deletion mutants decreased the content of HMW-GSs and glutenin macropolymers, mixograph envelope peak time and TIMEX width, water solvent retention capacity (WSRC), and lactic acid solvent retention capacity (LASRC). In the HMW-GS 1Dy12 deletion lines, the sugar-snap cookie diameter was 8.70–8.74 cm, which was significantly larger than that in the wild type of 8.0 cm. There were no significant differences in spike number, kernel number, thousand kernel weight, and yield between the deletion lines and wild type. Overall, the study indicated that the knockout of the HMW-GS gene induced by EMS is an effective way to improve wheat quality, and deletion mutants of HMW-GS 1Dy12 decrease gluten strength and increase sugar snap cookie diameter without yield penalty in Ningmai9 wheat.
HISTOGRAPHIC ANALYSIS OF INFRARED THERMOGRAMS IN THE FIELD OF THERMAL ENGINEERING

Computerized evaluation of infrared images opens new vistas for infrared thermogrammetry (IR-TGM). While it extends our earlier knowledge regarding temperature field analysis, it requires deeper understanding of relations of thermal phenomena and also more intuitive thermotechnical skills for image processing. Examples from diverse areas, e.g. energy saving, thermal defectometry, electrotechnics are quoted and practical applications of IR-TGM in thermal physics of buildings are discussed. The thermal phenomena themselves are illustrated by IR thermograms, while temperature distributions are analysed by histograms.
CALM: QoS-Aware Vehicular Sensor-as-a-Service Provisioning in Cache-Enabled Multi-Sensor Cloud

This work addresses the problem of QoS-aware cache selection for provisioning vehicular sensors-as-a-service (Se-aaS) in the presence of multiple sensor-cloud service providers (SCSPs), vehicle owners, and roadside units. In cache-enabled sensor-cloud, each SCSP serves the applications from its internal and external caches, which may not be feasible in vehicular networks due to lack of resources. Moreover, in vehicular sensor-cloud, the SCSP may not have access to the required data; hence it loses revenue. To address these issues, we propose a game-theoretic cache orchestration scheme, named CALM, for multi-sensor-cloud. CALM is performed in two stages. In the first stage, after receiving the end-users’ service request, the requested SCSP identifies the optimal subset of internal caches using an expected utility theory. If the service is not executed in the first stage, the SCSP identifies the optimal subset of external caches at the RSUs in the second stage. In this stage, we use a single-leader-multiple-followers Stackelberg game, where the SCSP and the RSUs act as the leader and followers, respectively. We evaluate the performance of CALM theoretically and through simulation, while comparing it with the existing schemes. Simulation results depict that using CALM, the profit of SCSP and service delay improve by 33.91% and 20.79%, respectively.
Creation of Parametric BIM Objects from Point Clouds Using Nurbs

This paper presents an innovative procedure to create parametric building information modelling (BIM) objects from point clouds of complex architectural features. BIM technology requires an advanced parametric representation of the geometry involving spatial relationships, constraints and material properties. The aim of the procedure is a BIM‐based reconstruction methodology that preserves the level of detail encapsulated in photogrammetric and laser‐scanning point clouds, and relies on non‐uniform rational basis splines (NURBS) curves. The particular case of architectural objects with irregular shapes is addressed due to the lack of commercial BIM software able to handle such buildings. An actual case study made up of 7·5 billion points is discussed to demonstrate the use of the proposed procedure with huge point‐cloud datasets.
Optimization of Solar Photovoltaic Plant and Economic Analysis

Abstract This article presents optimization of large-scale solar photovoltaic plants with economic analysis. The optimization includes the design of the plants, distribution of power conditioning units, and several other factors which affect the performance of the plants throughout their working life. Component arrangements are done to maximize power output and minimize the cost of production under-distributed and the central inverter mode of operation. Several optimization techniques have been analyzed, and a detailed comparison is presented for levelized cost of production and the economics of the plants. Economic analysis of the plants has been investigated to determine the net present value and internal rate of return using the Monte Carlo method.
Research on Stepper Motor Control System based on Single Chip Microcomputer

The research content of this paper is to design a set of step motor control system which is relative simple, economic, but the function is more complete, adaptable, easy to operate, high reliability, can organically combine electronic technology, SCM technology and motor control technology together. This paper briefly describes the development of stepper motor, application, as well as the common control system used in the program, the common drive technology, but also analyzes the working principle of the stepper motor. At last, the hardware and software design of the whole system is put forward.
Ecological Restoration of Coal Mine-Degraded Lands in Dry Tropical Climate: What Has Been Done and What Needs to Be Done?

In developed countries, ecological restoration is a widely accepted practice to restore the productivity of degraded coal mine spoils and prevent mine-degraded sites from acting as sources of pollution. During the past decade, ecologists realized the global need for ecological restoration, and the benefit of restoration is now assessed on the basis of ecosystem services that the restored lands can provide. In this article, the knowledge gap between crude reclamation and ecological restoration is examined, the steps crucial to ecological restoration in tropical conditions are identified, and simple guidelines are given for easy understanding. Restoration issues, such as modification of the forestry restoration approach, reestablishment of biodiversity, removal and reuse of topsoil during progressive and final stages of ecological restoration, drainage, promotion of a plant-succession-based approach, use of a grass–legume mixture as an initial colonizer, stabilization of steep slopes, and soil blanketing, are discussed. Those attributes of a degraded ecosystem that are responsible for the success of any restoration project are critically examined, and the opportunities provided by ecological restoration are explored.
Application of Grey Relational Analysis to Evaluate Port Safety in Keelung Harbor

The objective of this paper is to devise a port safety analysis in a harbor. In this paper, the Grey Relational Analysis (GRA) is applied to analyze and discuss the marine casualties occurring in Keelung Harbor. GRA is mainly applied to explore the relativity between marine casualties and accident sites. The paper concludes that the coastal and in-port areas are the main accident sites. Fire or explosion and damage to machinery are the main marine casualties. The results will assist in improving port safety in Keelung Harbor.
Computational fluid dynamic investigations on a small-scale liquid sodium loop

Liquid metal heat transfer systems are a technically attractive option to increase the efficiency of CSP plants. Sodium as heat transfer medium is promising especially due to high heat transfer rates. In this paper, basic considerations are made to match the requirements of a small-scale loop with sodium as heat transfer medium. The setup of the test facility KArlsruhe ReceIver test FAcility (KARIFA) to heat up this loop with a 20 kW IR laser is described. The loop is planned as an integrated design using an additive manufacturing process. Different technologies like selective laser melting (SLM) are established processes to realize an integrated design and to bring together components in one part. Some variations must be implemented to adapt these processes to liquid metal loops. The high heat fluxes also demand a flow simulation to ensure an efficient and safe operation. A Reynolds-averaged Navier-Stokes (RANS) steady state simulation was performed to show the surface and duct temperatures as well as dimensionless values to analyse the characteristics of the sodium flow.
A Novel Architecture Implementation Using Multi Scale Shared Residual Network from Remote Sensing Images for Extracting Water Bodies

Accurate data acquisition plays a vital role in crucial time period. Now a days so many real situations are suffering with accurate data prediction during disaster period. Flood zone identification is interlinked with extraction of water bodies to estimate disaster situation. So many limitations observed in the traditional waterbody detection methods but it is very important for the real situations. This paper proposes all the limitations of previous methods can be overcome with support of semantic segmentation of deep convolution network of multi scale shared residual network (MSSResNet) with CBAM blocks using satellite imagery. Because of residual blocks inserting in to encoder circuit reducing network degradation problems. Introducing depth wise convolutions to increase the performance of feature extraction property by using CBAM blocks with expanded receptive ﬁelds.