Miracle-dz/UniFAR-FTUs huggingface dataset:
The physics of electronic and atomic collisions

Almost as soon as quantum theory was developed to explain atomic structure, it was applied to problems of the scattering of electrons by atomic systems. Early efforts were devoted largely to determining whether or not the new picture of the atom was consistent with some of the results obtained in scattering experiments. For example, Faxen and Holtzmark developed their method of describing scattering in terms of phase shifts to explain the Ramsauer effect. The crudest approximations indicated that, in a general way, the wave‐mechanical picture was a satisfactory one for describing continuous, as well as discrete, spectral phenomena, and there the matter rested.
Schools as Made Works

Building on Carini’s idea of works bearing the imprint of their makers and using an example from my work in educator education that illustrates how Descriptive Inquiry can be a means of making and remaking a body of thought and practice, I explore the large idea of schools as made work. Through the exploration of the college faculty into race, I describe three metaphors that guided and shaped my thinking as I grew to understand what the participants in this inquiry and I had made together. Through this article, I make the political argument that values that support a humane approach to education—an approach that recognizes that how we see one another’s capacities is basic to all that we do or do not do in schools, an approach that acknowledges that the stories we tell ourselves about people and history are often incomplete and even wrong—are under duress at this time. To stay on course, we all need a place to work with others to expand and strengthen our thinking. The places that we work, particularly if they are schools, need to be places that create the kind of spaces needed for this strengthening. People in schools need to hold the shared recognition of the importance and possibility of intentionally constructing the educational space and share a trust in the tools they use for that building.
Evaluation of the Effect of Subciliary Approaches on Lower Eyelid Position in Infraorbital Rim Fractures

Abstract Background Periorbital fractures are a condition encountered after high-energy trauma in the face region. In the follow-ups after surgical repair, some changes may occur in the lower eyelid. Scleral show, ectropion, entropion, and canthal malposition are the most common complications. In this study, the effect of subciliary soft tissue approaches on lower eyelid position in patients with infraorbital rim fracture was investigated. Methods Patients admitted with orbital lower rim fracture between January 2017 and January 2021 were included in the study. A total of 90 patients, 15 patients in each group, were followed up for 6 months. Before the operation, the patients were randomly assigned to the groups by an impartial observer and the surgeons who would perform the operation were informed about the method. The patients were divided into six groups according to the type of soft tissue approach for fracture repair. Results There were 6 groups in total and each group included 15 patients. The mean age was 41.4 in group 1, 50.6 in group 2, 38.2 in group 3, 36.4 in group 4, 38 in group 5, and 39.9 in group 6. There was no statistically significant difference between the groups in terms of age ( p = 0.090), gender distribution ( p = 0.835), and smoking ( p = 0.685). Ectropion was observed in 14 of 73 male patients and 5 of 17 female patients. Ectropion was observed in 9 of 38 smokers and 10 of 52 nonsmokers. When all groups were evaluated together, the scleral show measurement was 0.072 on the operated side and 0.034 on the healthy side. This measurement was statistically significant ( p = 0.000). Conclusion Subciliary skin-only or step incision approaches can be used safely in the exposure of infraorbital rim fractures, but both approaches must be supported by canthopexy.
Acrylonitrile induction of rodent neoplasia: Potential mechanism of action and relevance to humans

Acrylonitrile, an industrial chemical, is a multisite carcinogen in rats and mice, producing tumors in four tissues with barrier function, that is, brain, forestomach, Zymbal’s gland, and Harderian gland. To assess mechanism(s) of action (MoA) for induction of neoplasia and to evaluate whether the findings in rodents are indicative of human hazard, data on the potential key effects produced by acrylonitrile in the four rodent target tissues of carcinogenicity were evaluated. A notable finding was depletion of glutathione in various organs, including two target tissues, the brain, and forestomach, suggesting that this effect could be a critical initiating event. An additional combination of oxidative DNA damage and cytotoxic effects of acrylonitrile and its metabolites, cyanide, and 2-cyanoethylene oxide, could initiate pro-inflammatory signaling and sustained cell and tissue injury, leading to compensatory cell proliferation and neoplastic development. The in vivo DNA-binding and genotoxicity of acrylonitrile has been studied in several target tissues with no compelling positive results. Thus, while some mutagenic effects were reported in acrylonitrile-exposed rodents, data to determine whether this mutagenicity stems from direct DNA reactivity of acrylonitrile are insufficient. Accordingly, the induction of tumors in rodents is consistent primarily with a non-genotoxic MoA, although a contribution from weak mutagenicity cannot be ruled out. Mechanistic data to support conclusions regarding human hazard from acrylonitrile exposure is weak. Comparison of metabolism of acrylonitrile between rodents and humans provide little support for human hazard. Three of the tissues affected in bioassays (forestomach, Zymbal’s gland, and Harderian gland) are present only in rodents, while the brain is anatomically different between rodents and humans, diminishing relevance of tumor induction in these tissues to human hazard. Extensive epidemiological data has not revealed causation of human cancer by acrylonitrile.
News Media Exposure and Community Consensus on Terrorism in a Developing Country: First and Second Level Agenda-Setting Effects

This study investigates how increased news media use corresponds to an increasing consensus among different subgroups in society regarding social issues (first level of agenda-setting) and consensus on the attributes of the terrorism issue (second level of agenda-setting). With its cross-sectional design, the study, includes a content analysis of three leading newspapers and three television channels, coupled with a systematic random sample survey of the audience. Results indicated that news media use and consensus-building studies regarding an agenda of important issues confronting the community were not replicated within the Pakistani public. In contrast, the pattern of increased news media use and consensus on the attributes of the terrorism issue was strongly replicated in Pakistan. The findings further showed that news media reduced differences among divergent demographic subgroups and contributed to how these groups think about and understand issues. It was concluded that news media, by emphasising certain aspects of terrorism, contributed to the development of social consensus among diversified segments of a population concerning to their opinion about different aspects of terrorism. Thus, the media must be free of political and ideological pressures to act as a pluralistic platform to form an informed public opinion.
High-throughput prediction and characterization of antimicrobial peptides from multi-omics datasets of Chinese tubular cone snail (Conus betulinus)

Individual cone snail (Conus sp.) contains thousands of bioactive peptides, but there are limited studies on its antimicrobial peptides (AMPs). Here, we investigated AMPs along with AMP-derived genes in the representative Chinese tubular cone snail (C. betulinus) by integration of our previously published multi-omics (genomics, transcriptomics, and peptidomics) data. We identified a total of 466 putative AMP-derived genes from the genome, and most of them were annotated as histones. While at the mRNA level, only 77 AMP-derived genes were confirmed with transcriptomic evidence, among them Ubiquicidin, cgUbiquitin, Ap, and VK10 were the most abundant transcripts in the venom gland. In addition, 30 AMPs were further validated by peptidomics data. After in silico analysis including 3D modeling, 11 putative AMPs were chemically synthesized for an in vitro assessment, and eight peptides were proved with good antifungal activity. In summary, this work systematically characterized the AMP repertoire in C. betulinus. This valuable genetic resource provides a solid foundation for in-depth therapeutic applications and drug development.
GraphML-SBGN bidirectional converter for metabolic networks

Abstract Systems biology researchers need feasible solutions for editing and visualisation of large biological diagrams. Here, we present the ySBGN bidirectional converter that translates metabolic pathways, developed in the general-purpose yEd Graph Editor (using the GraphML format) into the Systems Biology Graphical Notation Markup Language (SBGN-ML) standard format and vice versa. We illustrate the functionality of this converter by applying it to the translation of the ReconMap resource (available in the SBGN-ML format) to the yEd-specific GraphML and back. The ySBGN tool makes possible to draw extensive metabolic diagrams in a powerful general-purpose graph editor while providing results in the standard SBGN format.
Semi-heuristically obtained discrete models for LTI systems under real sampling with choice of the hold device

In this paper, we present two different filter-based identification methods to obtain discrete transfer functions for LTI systems under real sampling of finite duration rather than an instantaneous ideal one. The first method is based on a typically used least-squares minimization, while the second one is based on the Leverrier algorithm; that is, using a data series of the impulse response of the system to identify a parametric discrete model. This second method, being also an approximated technique, provides an algebraic result at least for the first computed data of the series. The main idea is to use semi-heuristic techniques of reduced mathematical complexity to derive parametric discrete models from measured input-output data series. These methods are of particular practical interest when the continuous-time system is unknown or when dealing with discrete-time systems whose analytical expression become very complex due, for instance, to the use of finite duration real sampling. This is the case of the problem treated in the application, where the proposed discretization technique allows a simple and accurate description of the discrete system. The identification techniques are also used to improve the discretization process in the context of a bi-estimation scheme that switches to the model that provides a better performance at each considered estimation instant, which is also used to compare the two techniques.
Behavior Recognition Network for Small Target Vehicle based on Attention Mechanism

Vehicle behavior recognition is one of the most important research fields in intelligent transportation. In the field of traffic surveillance videos, target vehicles only occupy small proportion of the video frame,making it difficult for the network to extract key features of small target vehicles. To solve this problem, this paper constructed vehicle-3C, a video dataset for vehicle behavior recognition, and was combined with deep learning theory. As a result, it proposed a vehicle behavior recognition method based on the theory of Two-Stream with Attention Network (TSAN). For this method, the two-stream convolutional network is used as a basic framework and attention units are embedded in it to extract temporal (motion) features and spatial features of target vehicles in traffic surveillance videos, and then the temporal and spatial features are fused for category judgment. The results showed that TSAN could achieve 81.8% identification accuracy in vehicle-3C dataset, which was better than other behavior recognition methods based on deep learning. In addition, TSAN also achieves a recognition accuracy of 77.2% in dataset UCF-101, which verifies the generalization performance of the network. Experimental results showed that TSAN could accurately extract and effectively fuse the temporal and spatial features of the foreground target vehicle in the video and achieve high recognition accuracy in the vehicle behavior recognition task.
Design and Implementation of COVID-19 Prevention and Control Management System Based on Spring Cloud

In recent years, the epidemic of COVID-19 virus has become more and more serious, resulting in more and more people infected by the virus. In view of the transmission and infection characteristics of novel coronavirus and the potential risks of urban epidemic prevention and control, the COVID-19 epidemic prevention and control management system is designed and implemented based on the spring cloud microservice architecture to implement standardized and intelligent management of urban epidemic prevention and control. The mobile terminal is used to collect the nucleic acid detection information, vaccination information and key personnel information of urban residents according to the region, and conduct statistical analysis on all kinds of information to form intelligent visual data for dynamic display, so as to improve the level of epidemic prevention and control management.
HaniMob 2021 Workshop Report: The 1st ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility

Movement ecology is a relatively new discipline in the field of ecology that studies the spatio-temporal patterns and processes at the basis of animal movement [8]. Ecologists track animal movement using telemetry tools (such as for example bio-logging GPS tags), and then combine resulting trajectories with contextual data on environment, such as those collected through remote sensing. Combined data are then used to build statistical models that describe the determinants of animal movement, such as environmental constraints (e.g. snow layer, habitat fragmentation, human disturbance) or the inner status of individuals (e.g. memory, orientation capacity). Movement is also the focus of a different field of research, i.e. human mobility, which is studied in a set of disciplines, from GIScience, to computer science, physics, geography and transportation science [4]. In analogy with movement ecology, human mobility benefited from the recent development of sensors capable of capturing human movement in real time and at detailed spatial and temporal scales (e.g. GPS trackers).
Research on the Design of Project-based Teaching & Learning Mode Assisted by Educational Robot

In view of the problems existing in the current implementation of project-based learning, such as teachers pay too little attention to students' basic theoretical knowledge, students' low participation in learning and the limitations of using information technology, this paper considers the application of autonomous mobile educational robots to assist project-based learning under the background of artificial intelligence (AI). First, according to the six characteristics of robot-assisted instruction, we discuss the functional modules of autonomous mobile educational robots that assist project-based learning should have, also, guided by the constructivism theory, combined with the general project-based teaching mode and the functional characteristics of autonomous mobile educational robots assisting project-based teaching, we reconstruct the elements of teaching system, and a project-based teaching mode assisted by autonomous mobile educational robots is designed. Then, a learning platform corresponding to the teaching mode of this paper is developed by using enterprise WeChat to further assist the teaching & learning process. Finally, in order to verify the feasibility and effectiveness of the teaching model, the experimental course of” Principles of Computer Composition” for sophomore is selected to carry out corresponding teaching practice, the results demonstrate that the teaching mode has positive effects on improving students' motivation, participation, interest in the material, and collaborative learning abilities.
Integration of a personalised mobile health (mHealth) application into the care of patients with brain tumours: proof-of-concept study (IDEAL stage 1)

Objectives Brain tumours lead to significant morbidity including a neurocognitive, physical and psychological burden of disease. The extent to which they impact the multiple domains of health is difficult to capture leading to a significant degree of unmet needs. Mobile health tools such as Vinehealth have the potential to identify and address these needs through real-world data generation and delivery of personalised educational material and therapies. We aimed to establish the feasibility of Vinehealth integration into brain tumour care, its ability to collect real-world and (electronic) patient-recorded outcome (ePRO) data, and subjective improvement in care. Design A mixed-methodology IDEAL stage 1 study. Setting A single tertiary care centre. Participants Six patients consented and four downloaded and engaged with the mHealth application throughout the 12 weeks of the study. Main outcome measures Over a 12-week period, we collected real-world and ePRO data via Vinehealth. We assessed qualitative feedback from mixed-methodology surveys and semistructured interviews at recruitment and after 2 weeks. Results 565 data points were captured including, but not limited to: symptoms, activity, well-being and medication. EORTC QLQ-BN20 and EQ-5D-5L completion rates (54% and 46%) were impacted by technical issues; 100% completion rates were seen when ePROs were received. More brain cancer tumour-specific content was requested. All participants recommended the application and felt it improved care. Conclusions Our findings indicate value in an application to holistically support patients living with brain cancer tumours and established the feasibility and safety of further studies to more rigorously assess this.
Wave packet molecular dynamics simulations of warm dense hydrogen

Recent shock-wave experiments with deuterium [1, 2] in a regime where a plasma phase-transition has been predicted [3] and their theoretical interpretation are the matter of a controversial discussion (see e.g. [4–8]). In this paper, we apply ‘wave packet molecular dynamics’ (WPMD) simulations to investigate warm dense hydrogen. The WPMD method was originally used by Heller for a description of the scattering of composite particles such as simple atoms and molecules [9]; later it was applied to Coulomb systems by Klakow et al [10, 11]. In the present version of our model the protons are treated as classical point-particles, whereas the electrons are represented by a completely anti-symmetrized Slater sum of periodic Gaussian wave packets. We present recent results for the equation of state of hydrogen at constant temperature T = 300 K and of deuterium at constant Hugoniot E − E0 + 1/2(1/n − 1/n0)(p + p0) = 0, and compare them with the experiments and several theoretical approaches.
Structures in ionospheric number density and velocity associated with polar cap ionization patches

Spectral characteristics of polar cap F region irregularities on large density gradients associated with polar ionization patches are studied using in situ measurements made by the Dynamics Explorer 2 (DE 2) spacecraft. The • 18 patches studied in this paper were identified by the algorithm introduced by Coley and Heelis (1995), and they were encountered during midnight-noon passes of the spacecraft. Density and velocity spectra associated with these a_tisunward convecting patches are analyzed in detail. Observations indicate the presence of structure on most patches regardless of the distance between the patch and the cusp where they are believed to develop. Existence of structure on both leading and trailing edges is established when such edges exist. Results, which show no large dependence of AN/N power on the sign of the edge gradient VN, do not allow the identification of leading and trailing edges of the patch. The AN/N is an increasing function of VN regardless of the sign of the gradient. The correlation between AN/N and AV is generally poor, but for a given intensity in AV, AN/N maximizes in regions of large gradients in N. There is evidence for the presence of unstructured patches that seem to coexist with unstructured horizontal velocities. Slightly smaller spectral indices for trailing edges support the presence of the E×B drift instability. Although this instability is found to be operating in some cases, results suggest that stirring may be a significant contributor to kilometer-size structures in the polar cap. C/- ) "D. //' "" "--"
Real-time statistical LDV system for the study of a high Reynolds number, low turbulence intensity flow

The effects of varying the sampling rate, sample size and data rejection criteria have been investigated for a water pipeline configuration in which the flow is characterized by a high Reynolds number and low turbulence intensity. The results show that convergence is obtained with samples greater than 3500 data points and statistical techniques have been used to obtain the mean velocity, turbulence intensity, skewness and flatness factors for a range of Reynolds numbers.
Highly Sensitive Refractive Index-Based Sensor for DNA Hybridization Using Subwavelength Grating Waveguide

A biosensor for detecting DNA hybridization via refractive index sensing has been demonstrated using a subwavelength grating (SWG) waveguide. Waveguide dimensions are selected by parametric optimizations to increase the mode-analyte overlap with considerations of typical silicon-on-insulator fabrications technology. DNA layer is added with a linker layer on silicon pillars of the SWG waveguide to optimize and detect the DNA hybridization. Some essential characteristics such as mode overlap factor, change in effective refractive index, waveguide sensitivity, and shift in resonance wavelength are computed for the different dimensional parameters of the SWG waveguide in DNA hybridization along with mode field intensity and normalized power using the finite element method. The DNA hybridization is shown by variation in normalized power of interacting light in cladding region of the waveguide for 0% to 100% fractional change of dsDNA and ssDNA. Waveguide sensitivity, shift in resonance wavelength, device sensitivity, and intrinsic limit of detection are obtained to ∼ 0.157, 7.01, 605 nm/RIU, and 1.30 × 10−4 RIU, respectively, for the optimized structure of SWG waveguide in sensing of DNA hybridization, which could be suitable aspects for detecting DNA hybridization.