Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Task-Technology Fit on Improving the Performance of Meituan Application

In this paper, the impact of task-technology fit (TTF) on improving the performance of Meituan app is explored. Nowadays, with broad research scope, the research on TTF covers many fields, and it is found to be applicable to many fields. However, few scholars have researched about performance from the perspective of TTF. Therefore, with the help of the structural equation model (SEM), attitudes have been empirically verified and analyzed to build a structural model involving TTF, attitudes, user behavior, and performance in this paper. The results showed that the fit degree of task technology significantly affects the performance of Meituan app positively, and attitudes positively affect the user behavior of Meituan app users. Moreover, the two factors directly affect the performance of Meituan app, among which the user behavior of Meituan app users positively affects its performance. In addition, suggestions, such as continuously optimizing users’ feedback and giving users positive responses in terms of user experience, have been proposed, so that they will continue using the application (app).
Semantics of Sexual Violence: The “Imperfect Victims” in the Italian Media

Starting from an etymological analysis of rape in the Indo-European language family, we want to trace the historical and semantic roots of this lexeme, in order to review its semantic and pragmatic development in the perception of Italian speakers. Our aim is to read and understand the rape victim socio-cultural stigma in collective imagination. It is therefore possible to reconstruct the lexical, socio-semiotic, and narrative domain anticipating the phenomenology of victim blaming, which characterizes the media narratives of sexual violence. The victimological profile, socially expected and culturally accepted, seems to support the original semantic connotation of the Latin word stuprum , that is “corruption of virginity”, “contamination of purity”. Many typical mainstream discourses examined, through special “gender lenses”, provide portraits of imperfect, ambiguous, unreliable victims because they are deemed guilty of not being holy enough.
Binary Particle Swarm Optimization Structure Selection of Nonlinear Autoregressive Moving Average with Exogenous Inputs (NARMAX) Model of a Flexible Robot Arm

The Nonlinear Auto-Regressive Moving Average with Exogenous Inputs (NARMAX) model is a powerful, efficient and unified representation of a variety of nonlinear models. The model’s construction involves structure selection and parameter estimation, which can be simultaneously performed using the established Orthogonal Least Squares (OLS) algorithm. However, several criticisms have been directed towards OLS for its tendency to select excessive or sub-optimal terms leading to nonparsimonious models. This paper proposes the application of the Binary Particle Swarm Optimization (BPSO) algorithm for structure selection of NARMAX models. The selection process searches for the optimal structure using binary bits to accept or reject the terms to form the reduced regressor matrix. Construction of the model is done by first estimating the NARX model, then continues with the estimation of the MA model based on the residuals produced by NARX. One Step Ahead (OSA) prediction, Mean Squared Error (MSE) and residual histogram analysis were performed to validate the model. The proposed optimization algorithm was tested on the Flexible Robot Arm (FRA) dataset. Results show the success of BPSO structure selection for NARMAX when applied to the FRA dataset. The final NARMAX model combines the NARX and MA models to produce a model with improved predictive ability compared to the NARX model.
Revegetation Does Not Decrease Water Yield in the Loess Plateau of China

Vegetation restoration over degraded drylands has considerable climate, carbon and ecosystem benefits, yet its water impacts remain contentious. Previous studies suggest that extra vegetation in drylands could lead to decreased soil moisture and runoff caused by enhanced evapotranspiration. However, these studies ignore important vegetation‐climate feedbacks that can partially offset such negative consequences. Here, we examine how revegetation affects water budgets in China's Loess Plateau, where the world's largest revegetation occurs. Despite increased evapotranspiration, long‐term observations exhibit robust increasing trends (2.76 mm yr−2) of surface water yield over a large swath (82.3%) of the Plateau since revegetation starts. This is mainly caused by increased regional precipitation that outweighs increases in evapotranspiration. Numerical experiments further reveal that the increased precipitation is largely driven by revegetation‐induced enhancement in land‐atmosphere interactions that greatly accelerate local moisture recycling. Our findings highlight the importance of considering vegetation‐climate feedbacks in assessing hydrological responses to large‐scale vegetation changes.
Water quality enhancement potential of the mangrove clam Polymesoda erosa on the survival of Barnea manilensis reared for laboratory experiments

Due to its known filtering power and ability to survive in estuarine environments teeming with microbes and rich organic matter, it was investigated whether Polymesoda erosa can also maintain water quality of small-scale culture systems in the laboratory. In this study, it ensured the survival of another estuarine bivalve species, Barnea manilensis which is observed to be very sensitive to the build-up of waste especially when water change is not carried out constantly. Fifteen (15) B. manilensis clams were reared together with ten (10) P. erosa clams in a small basin and they survived without water change for 5 days while those reared without the presence of P. erosa died after 2 to 3 days. This was repeated in 3 runs and this result was consistent. The use of “ P. erosa -filtered water only” was also tested, but it did not increase the survival of B. manilensis reared in it. This suggests that live P. erosa clams must be present in the culture containers for the water-enhancement effect to manifest.
Cooperative merging strategy for connected and automated vehicles at highway on-ramps

Merging roadways are one of the main reasons for reducing highway traffic safety and transportation efficiency. This paper proposes a multi-vehicle cooperative driving strategy for on-ramp merging in the environment of connected and automated vehicles (CAVs). Based on the principle of first-in-first-out (FIFO), a new algorithm is designed to optimize the merging sequence of CAVs. The velocity profile of each CAV is planned according to the merging sequence to make CAVs pass through the merging zone smoothly and safely. Compared with the FIFO strategy under different traffic demands, the effectiveness of the proposed strategy is validated.
Lithium‐Ion Battery Technology for Voltage Control of Perpendicular Magnetization

The voltage control of magnetism is a promising path to the development of low‐power spintronic devices. Magneto‐ionics—exploiting voltage‐driven ion migration to control magnetism—has attracted interest because it can generate large magnetoelectric effects at low voltage. Here, the use of the solid‐state lithium‐ion battery technology for reversible voltage‐controlled switching between perpendicular and in‐plane magnetization states in a Co–Pt bilayer is demonstrated. Due to the small size and high mobility of lithium ions, small voltages produce an exceptionally high magnetoelectric coupling efficiency of at least 7700 fJ V–1 m–1 at room temperature. The magnetic switching effect is attributed to the modulation of spin‐orbit coupling at the Co–Pt interface when lithium ions migrate between a lithium storage layer (LiCoO2) and the magnetic interface across a lithium phosphorous oxynitride (LiPON) solid‐state electrolyte, which is corroborated by density functional theory calculations. Voltage control of magnetism in the battery structure does not show degradation over more than 500 voltage cycles, demonstrating promise for solid‐state lithium‐based magneto‐ionic devices.
Citizenship Matters: Non-Citizen COVID-19 Mortality Disparities in New York and Los Angeles

U.S. non-citizen residents are burdened by inequitable access to socioeconomic resources, potentially placing them at heightened risk of COVID-19-related disparities. However, COVID-19 impacts on non-citizens are not well understood. Accordingly, the current study investigated COVID-19 mortality disparities within New York (NYC) and Los Angeles (LAC) to test our hypothesis that areas with large proportions of non-citizens will have disproportionately high COVID-19 mortality rates. We examined ecological associations between March 2020–January 2021 COVID-19 mortality rates (per 100,000 residents) and percent non-citizens (using ZIP Code Tabulation Areas (ZCTA) for NYC and City/Community units of analysis for LAC) while controlling for sociodemographic factors. Multiple linear regression analyses revealed significant positive associations between the percentage of non-citizen residents and COVID-19 mortality rates in NYC (95% CI 0.309, 5.181) and LAC (95% CI 0.498, 8.720). Despite NYC and LAC policies intended to provide sanctuary and improve healthcare access for non-citizen residents, communities with larger proportions of non-citizens appear to endure higher COVID-19 mortality rates. The challenges that non-citizens endure—e.g., inequitable access to public benefits—may discourage help-seeking behaviors. Thus, improved health surveillance, public health messaging, and sanctuary policies will be essential for reducing COVID-19 mortality disparities in communities with large shares of non-citizens.
Do you really expect to get paid?: an economic study of professional artists in Australia

The careers of Australian practicing professional artists across all major art forms (except film) are profiled in this economic study. It is based on interviews with professional artists and includes data on their numbers, incomes, achievements and challenges. This survey is the fifth in a series carried out over the past 30 years at Macquarie University, with funding from the Australia Council. The original survey, in 1983, was undertaken as part of the Individual Artists’ Inquiry, initiated by the Australia Council at the time. A larger and more comprehensive survey was carried out in 1987, another in 1993, and another in 2002. All of these studies have yielded reports widely used by policy makers, bureaucrats, arts organisations, artists themselves and the wider community. They have provided factual information about the economic circumstances of professional artistic practice across all major artforms apart from film. The present survey, undertaken in 2009, updates and expands the information collected in the earlier studies. Like its predecessors, this survey is concerned with serious, practising professional artists. The seriousness is judged in terms of a self-assessed commitment to artistic work as a major aspect of the artist’s working life, even if creative work is not the main source of income. The practising aspect means that we confine our attention to artists currently working or seeking to work in their chosen occupation. The term professional is intended to indicate a degree of training, experience or talent and a manner of working that qualify artists to have their work judged against the highest professional standards of the relevant occupation.
Intercultural Issues in Graduate Blended Learning Environments

This chapter reports on an exploratory case study of intercultural issues in graduate blended learning environments. As U.S. Universities strive to increase the diversity among student, faculty, and staff populations, culture is beginning to emerge in the literature as a potential variable in the efficacy of virtual and blended course delivery (Al-Harthi, 2005; Ku & Lohr, 2003; Zhao & McDougall, 2008). Still in its nascent stages, there is scant research on the topic of technology mediated graduate courses and even less on culture as a pivotal element of blended learning environments in graduate education. Findings from this study indicated that participants agreed blended courses offered opportunities to balance work, family, and school obligations; however, a majority of participants also noted that intercultural issues were prevalent and played a role in how blended courses were viewed. The results of this study have implications for university faculty and administrators who serve diverse student populations. DOI: 10.4018/978-1-4666-2014-8.ch018
Laboratory and Field Evaluation of an innovated adult-larval mosquito trap for the capture of dengue vector mosquitoes

The exact dates of the introduction of Aedes aegypti and dengue in the Philippines are unknown; however, the first records of the circulation of dengue in the Philippines among accounts from military hygiene records after the Philippine-American War were recorded in 1903 among U.S. soldiers stationed in bases in Manila. So dengue has long been confronting the country, but in 1953, dengue hemorrhagic fever was reported for the first time in this part of Asia. From then on, sporadic dengue cases have been reported in several parts of the country, and control measures were instituted only when necessary. Three (3) trap prototypes, trap x, y, and z, with different trap entrances, were tested for both adult and larval capture of dengue vector mosquitoes in the laboratory and field. Prototype trap x had openings for capture at the sides, prototype y had both side and top outlets for capture, and prototype z had a top entrance only for capture. Release-and-recapture testing on the three trap prototypes revealed that prototype x (side entrance only) captured more Aedes mosquitoes at a low (n=3) to medium (n=25) number of mosquitoes released. Trap z (with top mosquito entrance only) captured more mosquitoes at high densities (n=50). In the field, capture performances on Aedes dengue vector mosquitoes had no significant differences, including the comparator, Ovicatch™. Non-target mosquito capture and non-mosquito capture were comparatively lesser than the capture of Aedes aegypti and Aedes albopictus. The prototype x showed Aedes capture performance most comparable to Ovicatch™.
Intramitochondrial co-assembly between ATP and nucleopeptides induces cancer cell apoptosis

Mitochondria are essential intracellular organelles involved in many cellular processes, especially adenosine triphosphate (ATP) production. Since cancer cells require high ATP levels for proliferation, ATP elimination can be a unique target for cancer growth inhibition. We describe a newly developed mitochondria-targeting nucleopeptide (MNP) that sequesters ATP by self-assembling with ATP inside mitochondria. MNP interacts strongly with ATP through electrostatic and hydrogen bonding interactions. MNP exhibits higher binding affinity for ATP (−637.5 kJ mol−1) than for adenosine diphosphate (ADP) (−578.2 kJ mol−1). To improve anticancer efficacy, the small-sized MNP/ADP complex formed large assemblies with ATP inside cancer cell mitochondria. ATP sequestration and formation of large assemblies of the MNP/ADP–ATP complex inside mitochondria caused physical stress by large structures and metabolic disorders in cancer cells, leading to apoptosis. This work illustrates a facile approach to developing cancer therapeutics that relies on molecular assemblies.
Introduction to the Special Issue on Contact Tracing

Contact Tracing refers to the process of tracking persons who may have come into spatial contact with an infected person and subsequently collecting further information about these contacts. The feature-rich interaction, processing, and localization/communication modalities of smartphone devices have brought these to the technological forefront to battle and curb the fast spread of pandemics, e.g., COVID-19, introducing the notion of “digital vaccines” to custodians aiming at fast prevention rather than slow intervention. The community has to this date proposed a wide range of approaches, ranging from opportunistic to participatory approaches, privacy-sensitive to no-privacy approaches, handheld-based (distributed) to cloud-based (centralized) approaches, and proximity-based (e.g., BLE, sound) to location-based approaches (e.g., Wi-Fi, GPS) for only outdoor settings to indoor settings, using closed-source to open-source counterparts. However, a wide range of challenges remain unanswered, including methodologies to improve the penetration and adoption rates, alleviating privacy or expectation skepticism, the ubiquitous availability on low-end terminals as well as technological/psychological adoption barriers, achieving cross-country interoperability with standard formations beyond recommendations, scalability/reliability and accuracy verification of engaged spatial technologies, and lessons about the effectiveness from real large-scale deployments. This special issue brings together transdisciplinary researchers and practitioners working in topics relevant to the special issue. This issue of ACM TSAS includes the five accepted papers to the Special Issue on Contact Tracing. The articles are not listed in any particular order of preference. In the first article, titled “A Survey on Contact Tracing: The Latest Advancements and Challenges,” Jiang et al. provide a comprehensive survey on contact tracing, covering both the traditional and the recent digital contact tracing technologies. The fundamental approach and models of contact tracing are covered, and then the authors survey the latest digital contact tracing technologies, detailing a variety of contact tracing mobile applications currently being used in many different countries together with the associated positioning technologies. At the end of the survey, the authors reflect on the current challenges and highlight several future trends. The given work provides a good introduction to readers before moving on to the subsequent technical articles. In the second article, titled “Towards Accurate Spatiotemporal COVID-19 Risk Scores Using High-Resolution Real-world Mobility Data,” Rambhatla et al. present risk scores based on location density and mobility behavior that model the propensity of the disease, going beyond contact tracing that aims to track past activities of infected users. The article presents a Hawkes process-based technique to assign fine-grained spatial and temporal risk scores by leveraging high-resolution mobility data based on cell-phone-originated location signals. The authors demonstrate the efficacy of
Sustainable fault-handling of reconfigurable logic using throughput-driven assessment

A sustainable Evolvable Hardware (EH) system is developed for SRAM-based reconfigurable Field Programmable Gate Arrays (FPGAs) using outlier detection and group testing-based assessment principles. The fault diagnosis methods presented herein leverage throughput-driven, relative fitness assessment to maintain resource viability autonomously. Group testing-based techniques are developed for adaptive input-driven fault isolation in FPGAs, without the need for exhaustive testing or coding-based evaluation. The techniques maintain the device operational, and when possible generate validated outputs throughout the repair process. Adaptive fault isolation methods based on discrepancy-enabled pair-wise comparisons are developed. By observing the discrepancy characteristics of multiple Concurrent Error Detection (CED) configurations, a method for robust detection of faults is developed based on pairwise parallel evaluation using Discrepancy Mirror logic. The results from the analytical FPGA model are demonstrated via a self-healing, self-organizing evolvable hardware system. Reconfigurability of the SRAM-based FPGA is leveraged to identify logic resource faults which are successively excluded by group testing using alternate device configurations. This simplifies the system architect's role to definition of functionality using a high-level Hardware Description Language (HDL) and system-level performance versus availability operating point. System availability, throughput, and mean time to isolate faults are monitored and maintained using an Observer-Controller model. Results are demonstrated using a Data Encryption Standard (DES) core that occupies approximately 305 FPGA slices on a Xilinx Virtex-II Pro FPGA. With a single simulated stuck-at-fault, the system identifies a completely validated replacement configuration within three to five positive tests. The approach demonstrates a readily-implemented yet robust organic hardware application framework featuring a high degree of autonomous self-control.
Research on Tourism Marketing Strategy Based on the Portrait of Wenyi Qingnian Tourist Group

Precise marketing is one of the trends for the service industry, it means nowadays, many consumers are keen on personalized as well as diversified consuming experience. When it comes to the tourism industry, there are a lot of examples of precise marketing, like wenyi tourist destinations have gained popularity on social media in recent years, many tourist destinations and enterprises try to attract target guest groups with the label of wenyi image, but there are few papers studying on the target consumer groups of this kind of destinations. In this paper, the research team captured the network text from Zhihu, a popular ChineseQ&A platform, and analysed the self-portrait of the target group of the wenyi destination systematically. The coding results reveal that there are many outstanding characteristics of wenyi qingnian in both behavior(237) and psychology(193), providing a reference for relative tourist destinations’ precise marketing strategies which are aimed at their target customer group.
Genetic Algorithm Design of EDS Hovering Coil

Electrodynamic Suspension is a well known principle in electromagnetic theory. In this paper, a first step in the development of a low cost actuator based on this principle is described. Current realizations are limited by the size and cost of the static actuator. This research wants to overcome this limitation by hovering a dynamic actuator over a passive plate. In the first step, full parametric design of the ideal actuator coil and core material is performed, and a genetic algorithm is designed to encounter the optimal parameter set. This design is built and experiments show a good concurrence with simulation results, concluding the first step in the actuator design.