Reviewerly/exHarmony huggingface dataset:
CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation

In this paper, we study the problem of jointly estimating the optical flow and scene flow from synchronized 2D and 3D data. Previous methods either employ a complex pipeline that splits the joint task into independent stages, or fuse 2D and 3D information in an “early-fusion“ or “late-fusion“ manner. Such one-size-fits-all approaches suffer from a dilemma of failing to fully utilize the characteristic of each modality or to maximize the inter-modality complementarity. To address the problem, we propose a novel end-to-end framework, called CamLiFlow. It consists of 2D and 3D branches with multiple bidirectional connections between them in specific layers. Different from previous work, we apply a point-based 3D branch to better extract the geometric features and design a symmetric learnable operator to fuse dense image features and sparse point features. Experiments show that CamLiFlow achieves better performance with fewer parameters. Our method ranks 1st on the KITTI Scene Flow benchmark, outperforming the previous art with 1/7 parameters. Code is available at https://github.com/MCG-NJU/CamLiFlow.
PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection

Automatic medical image detection aims to utilize artificial intelligence techniques to detect lesions in medical images accurately and efficiently, which is one of the most important tasks in computer-aided diagnosis (CAD) systems, and can be embedded into portable imaging devices for intelligent Point of Care (PoC) Diagnostics. The Feature Pyramid Networks (FPN) based models are widely used deep-learning-based solutions for automatic medical image detection. However, FPN-based medical lesion detection models have two shortcomings: the object position offset problem and the degradation problem of IoU-based loss. Therefore, in this work, we propose a novel FPN-based backbone model, i.e., Multi-Pathway Feature Pyramid Networks with Position Attention Guided Connections and Vertex Distance IoU (abbreviated as PAC-Net), to replace vanilla FPN for more accurate lesion detection, where two innovative improvements, a position attention guided connection (PAC) module and Vertex Distance IoU Vertex Distance Intersection over Union loss, are proposed to address the above-mentioned shortcomings of vanilla FPN, respectively. Extensive experiments are conducted on a public medical image detection dataset, i.e., Deeplesion, and the results showed that i) PAC-Net outperforms all state-of-the-art FPN-based depth models in both evaluation metrics of lesion detection on the DeepLesion dataset, ii) the proposed PAC module and VDIoU loss are both effective and important for PAC-Net to achieve a superior performance in automatic medical image detection tasks, and iii) the proposed VDIoU loss converges more quickly than the existing IoU-based losses, making PAC-Net an accurate and also highly efficient 3D medical image detection model.
The prevalence and use of emerging technologies in <scp>STEAM</scp> education: A systematic review of the literature

Abstract Background The advent of new and emerging technologies and industries has highlighted the need to equip youth with a unique skillset necessary to cope with a rapidly changing and complex digital era and adapt to modern societies' demands. This need has led to the development of teaching approaches to equip students with creative and innovative skills to help prevent any future skills gap. This shift has fuelled the growth of STEAM (Science, Technology, Engineering, Arts and Mathematics) Education worldwide. Objectives Our goal was to engage in a systematic review of the literature to identify the application and prevalence of emerging technologies within the landscape of STEAM Education. Methods We engaged in a systematic review of the literature. Following the application of exclusion criteria to 461 studies, 43 studies were extracted and analysed. Findings and Conclusions Analysis of these studies provides evidence of the fast‐growing use of innovative emerging technologies within the STEAM landscape across all levels of education, from early childhood to college‐level settings. Our analysis reveals an emphasis on developing STEAM‐related disciplinary knowledge and the desire to develop students' 21st‐century skills with a notable lack of targeted emphasis on developing understandings in the arts disciplines. We identify the need for carefully designed intervention studies involving collaboration between multidisciplinary STEAM experts that use high‐quality measures which support the development of inferences relating to learning outcomes arising from such interventions.
An Improved Artificial Fish Swarm Algorithm

The artificial fish swarm algorithm is a swarm intelligence optimization algorithm based on the animal behavior. An improved artificial fish swarm algorithm is presented. This algorithm directly moves artificial fishes to the superior position while searching food so that increasing the algorithm’s searching speed. It dynamically adjusts the vision and step of artificial fish, makes the vision and step maintain maximum during the initial period of running, and then makes them smaller gradually. This algorithm can keep the balance between global and local search ability, and enhance the running efficiency and precision of the algorithm. The simulation results show that the improved artificial fish swarm algorithm’s convergence performance is more than twice of the former algorithm.
A New Approach in Teaching “Measurement Laboratory” Courses Based on TRIZ

Abstract An innovative approach in teaching “Measurement Laboratory” coursesThis paper presents an innovative approach in improvement of a laboratory based course in“Measurement Laboratory”. The instruction is dual based on both TRIZ and hands-on laboratoryexperimental approaches, leading Engineering Technology students to gain skills and experiencein industrial/technological real-life setting as well as in developing innovative ideas. Thiseducational strategy promotes creativity among students, develops an innovative environmentand also enables them to identify the best optimum design alternative for an engineeringproblem.Traditional laboratory instruction offered up to now a general, vague and too broad vision overmostly mechanical measurements, using LabView as interface between physical set-up and dataacquisition system only seldom and as a prepared package delivered to the student (a “black-box” approach). That limited student understanding as well as his/her engagement in developingthe experiment and ultimately grasping the methodology of generating an optimal experimentalset-up that serves the purpose of the proposed investigation, the various sources of error anderror propagation in such experiment. That led also to disconnection between lectured materialand laboratory activity.To overcome these issues, we proposed an integrated lecture/experiment package, where thestudent is fully involved in creating and analyzing the experiment during laboratory activity,based on his prior knowledge gained from previous courses as well as in class lectures (deliveredprior to each lab activity and closely linked to each lab activity). In this way the student has theopportunity of applying what he learned. Students will be introduced to LabView and berequired to create and generate VI’s (virtual instrument) to collect needed data from physicalexperiments. For “Measurement Laboratory” course students are introduced to more appealingmeasurement methods, based on new techniques rather than based on mature or even outdatedtechniques that traditionally are taught in class. For example, they will have lab activities basedon reaction times statistics measurements using PIC microcontrollers analyzed vs. computerbased LabView VI of the same measurement; capturing temperature measurement using a Kthermocouple, a microchip family linear active thermistor and LabView VI’s (created by thestudents) to measure and statistically analyze temperature variation. The software and thephysical experiment are connected using a NI DAQ 6009 data acquisition board. In this way, thecourse gains multi- and interdisciplinary character, enabling students to acquire necessary skillsin developing their future projects including “Senior Design”.Theory of Inventive Problem Solving (TRIZ) developed by Genrich Altschuller is becoming animportant theoretical tool in academic and industrial environment around the world and lately inUnited States. Also, there is a consensus that TRIZ offers a highly effective pathway toinstructing students in producing novel solutions to technical problems in a systematic way.
Just a Click Away: Social Search and Metadata in Predicting File Discovery

Social search has been claimed to improve content discovery by allowing users to draw on their social network to find relevant content. Thus social network information, complemented with metadata, can enhance the search for new information. We examine the relative contribution of social network information and file metadata in predicting downloads of files by analyzing the file browsing behavior of 5,723 users of a social file sharing service in a large global company. The following factors increase the likelihood of download: (a) if the file author is in the user’s social network; (b) if the file has been downloaded by or shared with others in the user’s network; and (c) if the file’s metadata is a good match to the user’s interests. Semi-structured interviews with 18 users provided deeper insight into why these factors are important. Our findings demonstrate the value of the social graph for finding files, with implications for relevant content and people discovery.
Digital Signal Processing With The Sharc

This paper introduces the use of Analog Devices' latest generation of floating-point digital signal processors, the Super Harvard Architecture Computer (SHARC).The SHARC is well suited for a wide range of digital signal processing (DSP) applications.It is particularly useful for implementing complex algorithms such as the fast Fourier transform (FFT) and for developing applications requiring multiple processors in order to satisfy large processing requirements.Features of the SHARC along with available hardware and software support tools are presented.Examples in FIR/IIR filtering and the FFT, implemented using both simulation and real-time execution, further illustrate the use of the SHARC.'...
Physical Therapy at the postoperative of hip endoprosthesis for osteosarcoma: a case report

Introduction: Osteosarcoma is the most common malignancy among musculoskeletal tumors. It can be treated for preservation member or amputation. The cases treated for preservation member have improved functionality and quality of life, however, patients with oncologic diseases exhibit symptoms of anxiety and depression. Objective: The aim of this study is to describe the role of physiotherapy in the hip endoprosthesis after surgery for osteosarcoma of a patient treated at the Clinic Physiotherapy School of the University of the State of Santa Catarina (CEFID / UDESC) and verify their quality of life, functionality and symptoms of anxiety and depression. Methods: A descriptive study through case report. The subject was assessed before and after 10 sessions of physiotherapy on the quality of life, functionality and symptoms of anxiety and depression using a standardized assessment form, the Quality of Life Assessment Questionnaire (WHOQOL-BREF), the system Functional assessment (Musculoskeletal Tumor Society Rating Scale - MSTS); of Lower Limb Function Scale (EFMI) and the Hospital Anxiety and Depression Scale (Hospital Anxiety and Depression Scale - HADS); Results and Conclusions: Physical therapy treatment proposed to the patient allowed the increase of muscle strength; increased muscle tropism; improved member functionality (65% of EFMI); possible reduction of anxiety or depressive symptoms in HADS; presenting score (67.31%) of the WHOQOL-BREF and (56%) in MSTS. Thus, based on the functional, emotional and psychological outcomes, the proposed physical therapy had a positive influence on a patient’s quality of life osteosarcoma at the proximal end of the left femur, underwent resection and reconstruction member with endoprosthesis.
Progress On The Crcd Experiences At The University Of Central Florida: An Nsf Project

Machine Learning has traditionally been a topic of research and instruction in computer science and computer engineering programs.Yet, due to its wide applicability in a variety of fields, its research use has expanded in other disciplines, such as electrical engineering, industrial engineering, civil engineering, and mechanical engineering.Currently, many undergraduate and first-year graduate students in the aforementioned fields do not have exposure to recent research trends in Machine Learning.This paper reports on a project in progress,
ARE ENGLISH PROVERBS DYING A SLOW DEATH IN MALAYSIAN SCHOOLS? A SURVEY IN PRIMARY AND SECONDARY SCHOOLS IN KLANG VALLEY

The purpose of this research is to investigate the reason(s) for the failure of the usage of English proverbs among students in the English class, both at primary and secondary level. The results of the research is expected to revive the use of English proverbs in schools as they can be used as a pivotal tool in the teaching and learning of English language. This is a mixed method research utilizing both qualitative and quantitative research analysis techniques. Sample for the research were 100 students from primary and secondary schools (two urban and two rural schools) in Malaysia. Apart from students, 50 English teachers too were used to get their feedback on the teaching and learning of English proverbs. The research has positively answered the three Research Questions. The data collected clearly indicated that English proverbs were not popular among students and teachers. And the interview transcripts clearly showed that the reasons on why English proverbs were underused. The teachers felt that English proverbs were archaic and not trendy to be used in the classrooms. Furthermore, the teaching of proverbs were also not prescribed in the school syllabus. On the other hand, it was found that some proverbs were not suitable for this era, where students are more into the digital world. This paper concludes with a discussion on the pedagogical implications of the results.
An Interactive Virtual Reality Simulation For Nanoparticle Manipulation And Nano Assembly Using Optical Tweezers

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract An Interactive Virtual Reality Simulation for Nanoparticle Manipulation for Nano- assembly using Optical Tweezers 1. Abstract Nanotechnology and nanodevices is believed to be one of the most promising steps that science is taking to the future. This paper proposes virtual reality (VR) as a tool to simulate nanoparticle- manipulation using optical tweezers towards achieving nano- assembly for effectively handle issues such as difficulty in viewing, perceiving and controlling the nano-scale objects. The nano- simulation is modeled, using virtual reality, displaying all the forces acting on nanoparticle during the manipulation. The simulation is developed for particles that belong to Rayleigh region and, represents interactions of OT (a laser beam) with the nanoparticle. The laser beam aimed on to the nanoparticle traps the particle by applying optical forces. The trapped particle is then moved by moving the laser beam. The proposed VR based simulation tool with it capabilities l can be easily extended and used for creating and open system framework by connecting it to a real OT setup to control nanoparticles manipulation. In addition, a feedback system can be build to increase of precision of movement. Keywords: Virtual Reality, Optical Tweezers 2. Introduction Scanning Tunneling Microscopy (STM) [1], Atomic Force Microscopy (AFM) [2] and Optical Tweezers (OT) are some techniques used for nanoparticle manipulation. AFM is a contact method for nanoparticle manipulation. This method has limitations such as wear of the tool tip and particle getting stuck to the tip of the AFM probe making it difficult to release the particle at difficult at desired location. While STM is a non-contact method, it can work only in vacuum conditions and is restricted to conducting and semi-conducting materials. The above discussed drawbacks along with incapability to manipulate particle in X, Y and Z directions make AFM and STM less desirable for effective nanoparticle manipulation. The disadvantages can be overcome by using OT as a manipulation technique. OT is a non contact method which can be used to grab, move and release particles in three dimensional (3-D) space. In addition, the magnitude of forces in OT is very small of the magnitude of pico and nano Newton which can make OT the most desirable method for manipulating nanoparticles. The transformation of OT from single particle manipulation [3, 4] to several particle manipulations towards nanoassembly has progressed significantly. OT is being experimented with several techniques such as Chemical assembly [5] and Holographic Optical Tweezers [6] to achieve nanoassembly. The applications of OT range from bio-medical sciences to chemistry to technology.
Design of Problem Solving Environment for Automated System Integration Education

Abstract Design of Problem Solving Environments for Automated System Integration EducationResearch suggests that realistic practice using authentic learning environments leads to bettertransfer of skills. Based upon input from industry engineers with expertise in designing andbuilding automated systems, two problem solving environments have been developed. Onefocuses on discrete processes (such as assembly) and the other one is for continuous process(such as oil refining). Each PSE provides a virtual environment for building, testing, andvalidating designs for a process to be automated. The user is presented a toolbox containingequipment and building blocks of automation such as sensors and actuators. The PSE willsupport students in design problem-solving activities such as (1) reviewing the problem, (2)understanding the process to be automated, (3) line balancing, (4) layout, (5) simulation, and (6)cost analysis. The PSEs employ student modeling to provide adaptive support for students. Forexample, a new learner may require prompting to remember the steps in a process that need to beautomated. When the system determines that the learner is more skillful, it will gradually fadeprompting. The paper will describe the design of these environments and feedback from learners.
Teaching Software Engineering Through Competition And Collaboration

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Teaching Software Engineering Through Competition and Collaboration Abstract This paper reports a case study in teaching senior-level software engineering using both competition and collaboration. The students were divided into teams to write computer games and competed in the second to last week of the semester. Meanwhile, each team had representatives to write libraries used by all teams. This course adopted several princi- ples of “problem-based learning”: students discovered the needed skills as they progressed throughout the semester. Because competition was conducted through a computer network, the students had to learn network programming and synchronization among concurrent pro- grams. A competition required three programs: two players and one referee called “game server”. In addition to network communication and concurrent programming, students also learned graphical user interface and game strategies later in the semester. This course also emphasized team building and team management. Each team included ﬁve or six students. Five unique roles were suggested by the instructor and the students decided their roles by exchanging their resumes among their team members. A leader was elected by each team; the leader received bonus points when the team met its schedule and penalty if the schedule was missed. Even though this successfully kept all teams on schedule, team leaders suggested more participation in deciding the grades of team members. We discovered three important aspects of using competition and collaboration in edu- cation. First, students consider collaboration within a team much more important than collaboration across teams. Second, it is important to select a game that is suﬃciently chal- lenging for the competition and allows sophisticated strategies. Third, competition itself cannot promote higher quality. If the teams only need to compete within the class without a higher standard, it is possible that all teams resort to simple strategies. Instead, the in- structor should provide a reference player that implements an advanced strategy and then encourage students to defeat this reference player. Introduction A typical course on software engineering discusses software process, project management, requirement and design, and maintenance.4, 14 While these topics provide a theoretical foun- dation for the students to construct large-scale software, these concepts can be better con- veyed through a semester-long team project. Students can learn how to collaborate with their teammates in the project. A recent study13 suggested that students would be better motivated through competition. In the spring semester of 2005, a senior-level course on software engineering was taught using both collaboration and competition. In this course, students collaborated in two ways. First, they worked with their teammates in the projects.
Density-based Clustering

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.