Miracle-dz/UniFAR-FTUs huggingface dataset:
The rise of electric vehicles—2020 status and future expectations

Electric vehicles (EVs) are experiencing a rise in popularity over the past few years as the technology has matured and costs have declined, and support for clean transportation has promoted awareness, increased charging opportunities, and facilitated EV adoption. Suitably, a vast body of literature has been produced exploring various facets of EVs and their role in transportation and energy systems. This paper provides a timely and comprehensive review of scientific studies looking at various aspects of EVs, including: (a) an overview of the status of the light-duty-EV market and current projections for future adoption; (b) insights on market opportunities beyond light-duty EVs; (c) a review of cost and performance evolution for batteries, power electronics, and electric machines that are key components of EV success; (d) charging-infrastructure status with a focus on modeling and studies that are used to project charging-infrastructure requirements and the economics of public charging; (e) an overview of the impact of EV charging on power systems at multiple scales, ranging from bulk power systems to distribution networks; (f) insights into life-cycle cost and emissions studies focusing on EVs; and (g) future expectations and synergies between EVs and other emerging trends and technologies. The goal of this paper is to provide readers with a snapshot of the current state of the art and help navigate this vast literature by comparing studies critically and comprehensively and synthesizing general insights. This detailed review paints a positive picture for the future of EVs for on-road transportation, and the authors remain hopeful that remaining technology, regulatory, societal, behavioral, and business-model barriers can be addressed over time to support a transition toward cleaner, more efficient, and affordable transportation solutions for all.
A Multisite Evaluation of Prosecutor-Led Pretrial Diversion: Effects on Conviction, Incarceration, and Recidivism

Recent years have witnessed a resurgence of interest in prosecutor-led pretrial diversion programs, yet up-to-date research on the effectiveness of these programs is lacking. Participants in four prosecutor-led diversion programs, Cook County, IL (separate analyses for misdemeanor and felony participants), Milwaukee County, WI (two distinct programs varying in participant risk level and treatment intensity), and Chittenden County, VT, were propensity-score matched to comparison defendants (total n = 5,040). All programs yielded a significant decrease in instant case conviction (mean odds ratio = .12) and use of jail sentences (mean odds ratio = .33). There was also a trend toward reduced re-arrest at 2 years (mean odds ratio = .79). Three of four diversion programs significantly delayed onset of first re-arrest. Taken together, results support the effectiveness of a diverse set of prosecutor-led pretrial diversion programs that varied in charge severity, participant risk level, and program duration and intensity.
Adaptive support for representational competencies during technology-based problem solving in chemistry

ABSTRACT Background: A key aspect of STEM learning is the use of visual representations for problem solving. To successfully use visuals, students need to make sense of how they show concepts and to fluently perceive domain-relevan information in them. Adding support for sense making and perceptual fluency to problem-solving activities enhances students’ learning of content knowledge. However, students need different types of representational-competency supports, depending on their prior knowledge. This suggests that adaptively assigning students to sense-makingand perceptual-fluency support might be more effective than assigning all students to the same sequence of these supports. Method: We tested this hypothesis in an experiment with 44 undergraduate students in a chemistry course. Students were randomly assigned to a ten-week sequence of problem-solving activities that either provided a fixed sequence of sense-making support and perceptual-fluency support or adaptively assigned these supports based on students’ problem-solving interactions. Findings: Results show that adaptive representational-competency supports reduced students’ confusion and mistakes during problem solving while increasing their learning of content knowledge. Contribution: Our study is the first to show that adaptive support for representational competencies can significantly enhance learning of content knowledge. Given the pervasiveness of visuals, our results may inform general STEM instruction.
A modified ISAR cross-range scaling method based on iterative principle component analysis

Frontier Innovation Project of Science and Technology Commission, Grant/Award Number: 18‐163‐00‐TS‐004‐075‐01; National Natural Science Foundation of China, Grant/Award Number: 61901511; Natural Science Basic Research Plan in Shaanxi Province of China, Grant/Award Number: 2020JQ‐478 Abstract High‐resolution inverse synthetic aperture radar (ISAR) imaging can produce electromagnetic images of a target in the range and cross‐range domain. However, to make full use of an ISAR image in target detection and recognition, we need to rescale the image in a homogeneous range and cross‐range domain, and further, to estimate the effective rotational velocity (RV) of the target. A precise ISAR image cross‐range scaling method is proposed. A candidate RV is obtained based on the bisection method. Then, the effective rotation angle (RA) between two sequential rescaled images is characterised by the RA between the major axes of the images. These axes are extracted by principle component analysis (PCA). A precise estimation of the RV is obtained through iterative PCA and bisection. Simulated and real data experimental results validate the effectiveness of the proposed method.
Complexity Management Patterns and Generative Software Development

According to many researchers, Abstraction is the basis of mathematics, computing, counting devices, and computer science and engineering. What is more, all of the above deal with complexity management in some way, and abstraction is the most basic mechanism of complexity management.Generative software development - whether in the sense of empowering humans by machine to create software or in the sense of reusing products - has been and is one of the serious concerns and goals of software engineering. The interesting thing is that in both views of generativity, the main issue is still, in a way, complexity management: whether this complexity management is to achieve diversity and reuse management (Czarnecki’s approach) or to Structuring from existing structures (the approach of Alexander and his followers in an object-oriented society). In this article, we will first look at complexity and its various definitions. The definitions that show, despite the different perspectives on complexity in different disciplines and domains, all point in one direction. We will conclude that complexity is rooted in multiplicity. In the following, we will formally define complexity. In the following discussion, we will look at the generative patterns of software development, and then we will look at the complexity management patterns at seven levels.In this article, the author has tried to maintain a comprehensive approach to complexity and to consider the approaches of different domains to complexity.
Neo-Family History Score Is A Novel Biomarker of Pathological Complete Response, Safety, and Survival Outcomes In Patients With Breast Cancer Receiving Neoadjuvant Platinum-Based Chemotherapy: A Retrospective Analysis of Two Prospective Trials

Background: Homologous recombination repair gene mutations are associated with increased platinum-based chemosensitivity, whereas few studies have reported the predictive value of family history of cancer for breast cancer in the neoadjuvant setting. This study aimed to construct a brief and effective novel family history scoring system and explore its association with pathological complete response (pCR), survival outcomes, and safety for locally advanced breast cancer receiving platinum-based neoadjuvant chemotherapy.Methods: A total of 262 patients treated with neoadjuvant cisplatin and paclitaxel were included. Neo-Family History Score (NeoFHS) was calculated according to cancer type, age at diagnosis, kinship, and number of affected relatives. Logistic regression was performed to analyze the association between pCR and NeoFHS. Survival rates were compared by Kaplan-Meier curves, examined by log-rank test and Cox proportional hazard regressions.Results: For all patients enrolled in this study, clinical tumor stage (p=0.048), estrogen receptor status (p=0.001), progesterone receptor status (p=0.036), human epidermal growth factor receptor 2 (HER2) status (p=0.013), and molecular subtype (p=0.016) were significantly related to NeoFHS. The multivariate logistic regression revealed that NeoFHS is an independent predictive factor of pCR (OR=2.262, 95% CI 1.159-4.414, p=0.017), especially in node-positive (OR=3.088, 95% CI 1.498-6.367, p=0.002), hormone receptor-positive (OR=2.645, 95% CI 1.164-6.010, p=0.020), and HER2-negative subgroups (OR=4.786, 95% CI 1.550-14.775, p=0.006). Kaplan-Meier estimates suggested that NeoFHS could serve as an independent prognostic factor for relapse-free survival in the whole group (adjusted HR=0.305, 95% CI 0.102-0.910, p=0.033) and node-positive subgroup (adjusted HR=0.317, 95% CI 0.103-0.973, p=0.045). Furthermore, alopecia (p=0.001), nausea (p=0.001), peripheral neuropathy (p=0.018), diarrhea (p=0.026), constipation (p=0.037) of any grade and leukopenia of grade 3 or greater (p=0.005) were more common in patients with higher NeoFHS.Conclusions: Our study revealed that NeoFHS is a practical and effective biomarker for predicting not only pCR and survival outcomes but also chemotherapy-induced AEs for neoadjuvant platinum-based chemotherapy for breast cancer. It may help screen candidate responders and guide safety managements in the future.
An integrated GIS, BIM and facilities infrastructure information platform designed for city management

ABSTRACT An infrastructure information platform (IIP) is a common data environment (CDE) employed to assist with city management, utilizing geographic information and building and facility data. An essential topic in the field of city management is how to integrate the data within the information platform and provide a collaborative information service network. This study has reorganized the existing system into an open database framework as part of the metadata classification. Furthermore, a discussion is presented on the application of building information modeling (BIM) to integrate geographic information system (GIS) and facility data. The contribution of this study is a proposal for a feasible method for automatic data connection between GIS, BIM, and facilities.
Short communication: Sublethal effects of insecticides used in strawberry on Trichogramma pretiosum (Hymenoptera: Trichogrammatidae)

Aim of study: Assessment of toxicity and sublethal effects of registered insecticides currently used in strawberry cultivation in Brazil on Trichogramma pretiosum Riley adults.Area of study: The study was conducted under laboratory conditions in Paraná (Brazil). Material and methods: Previously non-parasitized Duponchelia fovealis Zeller (Lepidoptera: Cambridae) eggs were dipped into insecticide dilutions or control solution. Seven active ingredients were tested: thiamethoxam, abamectin, azadirachtin, spinetoram, chlorfenapyr, lambda-cyhalothrin and chlorpyriphos. Side-effects of pesticides were quantified by measuring mortality on T. pretiosum females in 24 h, longevity after exposure to the insecticides, parasitism and emergence rates, and offspring sex ratio. These traits were also measured on the second generation.Main results: According to IOBC criteria, thiamethoxam was classified as harmless; abamectin, chlorfenapyr and spinetoram as slightly toxic; azadirachtin and lambda-cyhalothrin as moderately toxic and chlorpyriphos as toxic. The emergence rate of T. pretiosum secondgeneration was not significantly affected by thiamethoxam, abamectin, azadirachtin, and chlorfenapyr. Sublethal effects caused by azadirachtin, abamectin and chlorfenapyr were verified in the secondgeneration.Research highlights: The information generated by this study is useful for designing future biological control strategies in integrated pest management programs against D. fovealis.
"My first selfie": Experimenting with shame and visibility

This article investigates everyday experimentation with shame and visibility in self-photography sharing on digital platforms. Based on empirical data produced in ethnographic research on selfie practice, I discuss the ways in which this type of practice is gradually becoming common place through a learning trajectory related to moments of exposure and shame. The objective is to analyze shame and visibility as practical differences that lead the research participants, each in their own way, to experience a development of exposure, learning, situated performances and impression management. Following a pragmatic perspective, the proposal is not to treat shame as a personal characteristic, or to identify what is visible or not in image sharing, but to treat them as experience. Through ethnographic work on participants’ photographic routines, I demonstrate that shame is part of the daily construction of the selfie as a practice. This is also observable, starting from the participants’ first selfies, when understanding selfie practice as an experimentation and negotiation capable of becoming present in the trajectory of conformation of this kind of image as a form of interaction with the other.
Laplacian Matrix-Based Power Flow Formulation for LVDC Grids with Radial and Meshed Configurations

There is an increasing interest in low voltage direct current (LVDC) distribution grids due to advancements in power electronics enabling efficient and economical electrical networks in the DC paradigm. Power flow equations in LVDC grids are non-linear and non-convex due to the presence of constant power nodes. Depending on the implementation, power flow equations may lead to more than one solution and unrealistic solutions; therefore, the uniqueness of the solution should not be taken for granted. This paper proposes a new power flow solver based on a graph theory for LVDC grids having radial or meshed configurations. The solver provides a unique solution. Two test feeders composed of 33 nodes and 69 nodes are considered to validate the effectiveness of the proposed method. The proposed method is compared with a fixed-point methodology called direct load flow (DLF) having a mathematical formulation equivalent to a backward forward sweep (BFS) class of solvers in the case of radial distribution networks but that can handle meshed networks more easily thanks to the use of connectivity matrices. In addition, the convergence and uniqueness of the solution is demonstrated using a Banach fixed-point theorem. The performance of the proposed method is tested for different loading conditions. The results show that the proposed method is robust and has fast convergence characteristics even with high loading conditions. All simulations are carried out in MATLAB 2020b software.
An Overview of Omnidirectional MediA Format (OMAF)

During recent years, there have been product launches and research for enabling immersive audio–visual media experiences. For example, a variety of head-mounted displays and 360° cameras are available in the market. To facilitate interoperability between devices and media system components by different vendors, the Moving Picture Experts Group (MPEG) developed the Omnidirectional MediA Format (OMAF), which is arguably the first virtual reality (VR) system standard. OMAF is a storage and streaming format for omnidirectional media, including 360° video and images, spatial audio, and associated timed text. This article provides a comprehensive overview of OMAF.
Incorporating facilitative interactions into small‐scale eelgrass restoration—challenges and opportunities

Marine ecosystem engineers such as seagrasses and bivalves create important coastal habitats sustaining high biodiversity and ecosystem services. Restoring these habitats is difficult due to the importance of feedback mechanisms that can require large‐scale efforts to ensure success. Incorporating facilitative interactions could increase the feasibility and success of small‐scale restoration efforts, which would limit pressure on donor sites and reduce costs and time associated with restoration. Here, we tested two methods for providing facilitation in small‐scale eelgrass (Zostera marina) restoration plots across northern Europe: (1) co‐restoration with blue mussels (Mytilus edulis, M. trossulus); and (2) the use of biodegradable establishment structures (BESEs). Eelgrass‐mussel co‐restoration showed promise in aquaria, where eelgrass growth was nearly twice as high in treatments with medium and high mussel densities than in treatments without mussels. However, this did not translate to higher shoot length or shoot densities in subsequent field experiments. Rather, hydrodynamic exposure limited both eelgrass and mussel survival, especially in the most exposed sites. The use of BESEs showed more potential in enabling small‐scale restoration success: they effectively enhanced eelgrass survival and reduced mussel loss, and showed potential for enabling mussel recruitment in one site. However, eelgrass planted in BESE plots along with mussels had a lower survival rate than eelgrass planted in BESE plots without mussels. Overall, we show that though co‐restoration did not work at small scales, facilitation by using artificial structures (BESEs) can increase early eelgrass survival and success of small‐scale eelgrass and bivalve restoration.
Thermo‐Mechanical State of Ultraslow‐Spreading Ridges With a Transient Magma Supply

The thermal structure of mid‐ocean ridge axes is a critical control on the mechanical properties of young lithosphere and modulates the faulting styles that shape the Earth's seafloor. Models that balance a steady input of magmatic heat with a vigorous hydrothermal output are generally successful at explaining the thermal state of magmatically robust mid‐ocean ridges. However, the magma supply of ultraslow spreading ridges is often subdued and highly episodic, and the depth‐extent and vigor of hydrothermal circulation in these settings remain poorly known, requiring modifications to the standard magmatic‐hydrothermal paradigm. We develop models that couple repeated magmatic intrusions with hydrothermal convection in a permeable domain whose boundaries are controlled by the extent of grain‐scale thermal cracking. Our simulations reveal decreasing trends of venting temperatures with increasing intrusion periodicity, as well as with increasing permeability. Our model explains the seismically inferred depth (∼10 km) to the brittle‐ductile transition and the depth of MORB crystallization at the Mid‐Cayman Spreading Center by invoking repeated intrusion of sills every 20–50 kyrs, depending on their size. Doubling this periodicity predicts a thicker (∼15 km) seismogenic layer and lower‐temperature venting, as observed at the Southwest Indian Ridge (SWIR) at 64˚E. However, if fluid convection is not possible below ∼6 km, our model requires that high‐temperature venting at ultraslow ridges (e.g., Longqi at SWIR 49.7˚E) be fueled by shallow episodic magma intrusions into the long‐term convective region, which maintain high‐output circulation for at most a few tens of kyrs.
Implementation of upselling as a strategy in increasing room sales by guest relation host at Alila Seminyak Hotel

The purpose of this research is to determine the implementation of upselling as a strategy in increasing room sales at Alila Seminyak hotels and to find out alternative upselling strategies that should be implemented by Guest Relations Hosts in increasing room sales at Alila Seminyak hotels. The analysis technique used is the Sequential Exploratory mixed method design; Internal Factor Summary (IFAS) Matrix, External Factor Analysis Summary (EFAS) Matrix, Internal-External (IE) Matrix, SWOT analysis, and Quantitative Strategic Planning Matrix (QSPM). The analysis result of the IFAS matrix with the main strength is that the Alila Seminyak hotel has ten types of rooms that can support upselling activities to guests and can increase room sales, while the main weakness is the lack of providing special prices for guests who upselling. The analysis result of the EFAS matrix is that the main opportunity is the friendliness of the community, environment, and culture around the Alila Seminyak hotel, while the main threat is the tax policy that applies to tourists who are taken into consideration when wanting to upselling. Based on the results of the IE matrix analysis, the Alila Seminyak hotel is in the position of Growth Strategy (Cell II). The results of the SWOT analysis resulted in nine alternative upselling strategies, where three alternative upselling strategies were prioritized which were calculated by the QSPM matrix with a total TAS 232.64, 225.55, and 216.54.
Residency and habitat use patterns by sympatric stingrays at a remote atoll in the Western Indian Ocean

Information on the spatial ecology of batoids is lacking despite the need for this information for effective management and conservation of this vulnerable faunal group. We used acoustic telemetry to monitor the presence of dasyatids (Pastinachus ater, Urogymnus granulatus, and U. asperrimus) from March 2014 to November 2017 within and around the isolated St. Joseph Atoll, Seychelles. Results highlighted residency (median residency index = 0.75 and 0.57 for P. ater and U. granulatus) over periods of months to years for both juveniles and adults. Individuals displayed highly restricted movements; most detections occurred within 1 km of tagging locations, and movement networks were small and fragmented. However, juveniles increased their range of movements with size before dispersing to various locations on the Amirantes Bank. Within the atoll, resident adults and juveniles segregated ontogenetically by habitat; adults were more reliant on the deeper lagoon, while juveniles were largely restricted to the shallow sand flats, likely in an effort to avoid predators. Conversely, no inter-specific space partitioning was identified. This study provides preliminary evidence that this atoll is a dasyatid nursery; however, comparative research at other atolls is required to understand the role that atolls may play as batoid nurseries. This study was performed in the South West Indian Ocean, an understudied fisheries conservation hotspot where biodiversity is high but management effectiveness is low. The identification of a dasyatid refuge in this region highlights that the current marine protected area designation will likely provide conservation benefits for the dasyatid populations across the entire Amirantes Bank.