Reviewerly/exHarmony huggingface dataset:
Modeling Historical Devices Using Computer Aided Design (CAD)

Throughout our presentation, we display principles of physics using both computer animations and designs created through Fusion 360 as well as physical models of the original inventions. We digitally recreated James Prescott Joule’s original experiment, Joule’s Apparatus. Joule’s Apparatus consists of a system of pulleys and a weight that causes a paddle to move within a container filled with water, causing the water’s temperature to rise. Joule’s Apparatus displays how mechanical energy can be converted into thermal energy. His research, which determined the mechanical equivalent of heat, led to the discovery of the First Law of Thermodynamics. The mechanical equivalent of heat says that motion and heat can be interchanged. If the work done on a system is converted to heat energy, the quantity of work (in terms of motion) will produce a corresponding amount of heat. Using the primary documents from Joule himself, we were able to understand the concept of converting mechanical to heat energy. Based on the original parameters and ideas from these documents, we created a virtual rendering of the apparatus. However, we modified it slightly by adding a block-and-tackle system, so the weight has to travel a shorter distance in order to generate a change in temperature. Additionally, we created a stop-motion animation of Joule’s Apparatus using the model designed in Fusion 360. The animation tool within Fusion 360 is fairly basic, so we researched methods to simulate the movements. Using Python coupled with the parameters within Fusion 360, we created a stop-motion animation of the Joule’s Apparatus, using Fusion’s parameters to assign measurements to variables. We then wrote a program in Python to incrementally change those parameters, took frame-by-frame screenshots, and stitched them into a video. The end result was a smooth stop-motion animation of the apparatus.
Video Salient Object Detection Via Spatiotemporal Co-Attention and Global Structural Dependence

At present, many video salient object detection methods based on deep convolutional neural networks still suffer from coarse object edges, poor detection integrity and wrongly highlighted background, which may be attributed to the loss of high-frequency information and the inadequacy of global structure information. To solve these problems, we find a new way based on graph neural network learning methods in non-Euclidean space. Specifically, we propose a novel video salient object detection method based on spatiotemporal co-attention and global structural dependence. First, in order to learn high-quality salient spatial features, we design a bidirectional progressive salient object spatial feature extraction module (Bi-PSSFEM), which fuses multi-scale spatial information in a bidirectional and recursive manner to fully capture important salient spatial information. Second, we design a novel ConvLSTM module embedded with the co-attention mechanism (CoAConvLSTM), which improves the continuous consistency of salient objects in the spatiotemporal domain by considering the spatiotemporal correlation between adjacent video frames. Furthermore, in order to identify salient objects of different scales in dynamic visual scenes, we adopt our proposed CoAConvLSTMs with different dilated rates to form the ASPP-CoAConvLSTM in parallel, so as to capture spatiotemporal information of rich spatial receptive fields. Finally, a spatiotemporal graph convolution network (STGCN) is designed to fully mine the spatiotemporal context structure information in non-Euclidian space, so as to further improve the network modelâ€™s ability to obtain salient spatiotemporal clues. Experiments on four public benchmark datasets show that our proposed method is superior to the current mainstream video salient object detection methods based on deep convolutional neural networks.
The Role of Smart Devices in the Detection of Vehicle Theft Related Criminal Offenses

The computer is a technological device that is largely used by detectives, police patrols, supervisors, and managers, but also by perpetrators of criminal offenses. Today, computer systems make it easier to identify documents, identify vehicle data such as vehicle identification numbers, year of manufacture, vehicle owner, vehicle technical data e.g. weight, driving power, whether they are wanted vehicles or appear on the list of stolen vehicles, etc. However, despite the positive aspect, computers are largely being used for criminal purposes, by perpetrators of criminal offenses who know how to exploit the wide range of these systems. They may be persons who, with little instruction, are able to create successful counterfeiting operations. Therefore, investigators must be aware of these possibilities, as well as be specialized in examining computers. “Many law enforcement agencies have specifically established separate forensic information systems sections to address this issue. It is important to collect data digitally. This would best be done by IT experts, especially computer experts, who can best take measures to preserve evidence in case of confiscation of computers”. Computer systems have been used in many cases of vehicle theft and forgery, so this should be taken into account by police investigators.Understanding computer and database systems is important in the stolen vehicle detection process. In the US, investigators can by means of computer software automatically compare data from the Department of Motor Vehicle Registration with data from the National Insurance Crime Bureau (NICB) - a non-profit organization that supports law enforcement agencies in facilitating identification, detection and prosecution of perpetrators of insurance fraud crimes”. Such a program is also used by other countries, mainly those that are part of international security organizations, such as INTERPOL.
Detrital composition of Triassic to Neogene sandstones in the Sulaiman Fold-Thrust Belt, Pakistan: implications for pre- and postcollisional evolution of the northwestern Indian margin

Sandstones of the Triassic through Pliocene successions of the western Sulaiman Fold-Thrust Belt (SFTB), Pakistan, were studied, by polarizing microscope and using point-counting techniques, to determine systematic variations in detrital modes.The sandstones in the study area are categorized into pre-and postcollisional sandstone assemblages.The precollisional assemblage was deposited before the onset of collision of India with Eurasia (starting Late Cretaceous-Early Paleocene) and subcategorized as Wulgai-Mughal Kot, Bibai and Pab subassemblages.The postcollisional assemblage was deposited after the onset of collision and categorized as Ghazij and Urak subassemblages.The Wulgai-Mughal Kot subassemblage mostly comprises of highly quartzose sandstones of the Triassic Wulgai and Upper Cretaceous Mughal Kot formations.The Pab subassemblage consists of quartzose sandstone, with additional limestone and calcareous fossil fragments, of the Upper Cretaceous Pab Formation.Its detrital mode is craton interior, i.e. the crystalline basement of the Indian continent.The Bibai subassemblage is comprised of lithic arenites of the Middle-Upper Cretaceous Bibai Formation (Bibai Group) and is predominantly composed of mafic volcanic fragments, having a detrital mode of a magmatic arc.The Ghazij subassemblage, of the postcollisional assemblage, is comprised of lithic arenites of the Eocene Ghazij Formation, sourced mostly from a volcano-sedimentary terrain, derived from a recycled/transitional recycled orogen, indicating the initial stage of uplift (and sedimentation) of the successions including ophiolites of the suture belt.The Urak subassemblage is comprised of lithic arenites of the Miocene Uzda Pusha and Pliocene Shin Matai formations, and composed of a variety of sedimentary lithic fragments with ample quantities of quartz and feldspar.The detrital modes of this subassemblage indicate a recycle orogen derived from the collision orogen of the SFTB.The shift, in composition, provenance and detrital modes, from the pre-to postcollisional assemblages indicates beginning of the uplift and sedimentation of the older successions, including the hot spot-related volcanics of the Bibai Group.This study supports the notion that collision of the India with Eurasia initiated soon after the Late Cretaceous, resulting in the emergence of the older successions of the SFTB, reaching its culmination in Pliocene.
Non-local Patch Mixup for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation (UDA) aims to ease the discrepancy between two domains, thereby transferring knowledge learned from a labeled source domain to a completely unlabeled target domain. Mainstream UDA approaches mainly focus on learning domain-invariant representations in the latent space, while neglecting the discrepancy brought about by rich domain-specific characteristics in the input space, resulting in insufficiently aligned or even misaligned representations. To address this issue, in this paper, we propose to build a unified input space for both the source and target domains, on which the source domain knowledge can be easily transferred to the target domain. Towards this goal, we propose a Non-local Cross-domain Patch Mixup (NCPM) approach that can adapt to Vision Transformer (ViT) architectures to generate intermediate examples to support the unified space. Through NCPM, we further design a three-stage training strategy to gradually increase the searching range of the source domain until it covers the target domain, progressively generating intermediate examples from source-like to target-like to bridge the domain gap. Moreover, to suppress the negative impact of noisy labels on the intermediate examples, we propose a high-order scoring aggregation method that explicitly leverages the intrinsic structure of the target data to refine its output score. Finally, we conduct comprehensive experiments on four benchmark datasets to verify the superiority of our proposed approach. Our code is available at https://github.com/BetterTMrR/NCPM-pytorch-implementation.
MEMS and AI for the Recognition of Human Activities on IoT Platforms

The increase in the elderly population has led to the need for new medical, social, and care services, resulting in a significant rise in health costs and the number of health workers involved. For example, IoT (Internet of Things) and wearable technologies can help contain healthcare spending and enable better living conditions of elderly. Moreover, nanotechnologies such as MEMS (micro-electromechanical system) that offer the advantage of small size, negligible need for power and motion acquisition are of considerable benefit. These technologies are able to detect and signal dangerous situations in order to ensure immediate action. In this article, we present an implementation of an IoT application on a latest-generation microcontroller. Kinematics and environmental data are transferred to a CNN (Convolutional Neural Network) to recognize the daily activities of the elderly in their homes or nursing homes. Finally, to determine the position of subjects, we associate the prototype with a positioning system on the ultrasonic platform. Finally, applying the Edge Machine Learning technique, we developed an application on the STM32L475VG microprocessor on which motion acquisition and activity recognition functions are activated.
Research of the Second Classroom Teaching model Based on Big Data Analysis

This essay focuses on the connotation of outcome- oriented education. In the second classroom teaching activities, the Chinese college students computer Design Competition was used as the way for students to participate in the competition. At the same time, combined with the computer course teaching, the guidelines for the competition were formulated. Relying on online resources to fully carry out online and offline hybrid guidance, the second classroom teaching mode of competition was constructed. The results of the competition were analyzed and presented in a multi-dimensional way by big data analysis where the second class competition activities were evaluated. The second classroom teaching model constructed in the essay will provide more references for subsequent optimization of classroom teaching activities, and lay a solid practical foundation for further improving the quality of course teaching.
The effects of teaching using Project-based learning on self-directed learning, cooperative self-efficacy and learning satisfaction of pre-service early childhood teachers

Objectives The purpose of this study was to investigate the effects of teaching using Project-based learning on self-directed learning, cooperative self-efficacy and learning satisfaction of pre-service early childhood teachers.&#x0D; Methods The subjects of the study were 56 pre-service early childhood teachers who had studied ‘Theory of Teaching Methods for Young Children’ during the first semester of 2022. Data were collected by carrying out team assignments, activity reports and reflection diaries, and filling out questionnaires at the beginning and end of the semester. The collected data for quantitative analysis were analyzed for the effect of each dependent variable through technical statistics and t-test of the corresponding sample using SPSSWIN 25.0, to support the results, self-directed reflection journals and a qualitative data were analyzed.&#x0D; Results The Results are as follows: First, teaching using Project-based learning had a positive effect on improving self-directed learning, and had the effect of enhancing all sub-factors. Second, teaching using Project-based learning had a positive effect on improving cooperative self-efficacy, and had the effect of enhancing all sub-factors. Third, teaching using Project-based learning had a positive effect on improving learning satisfaction, and had the effect of enhancing all sub-factors.&#x0D; Conclusions These results suggest that it is necessary to actively apply it in the training process of pre-service early childhood teachers as teaching using Project-based learning has a significant effect on the pre-service early childhood teachers' self-directed learning, cooperative self-efficacy and learning satisfaction.
CREATION OF OBJECT RECOGNITION AND TRACKING SYSTEM

In modern society, video recording systems have become widespread, allowing them to recognize objects, their absence, and changes in position. In the vast majority of intelligent systems for video monitoring and determining objects through their image, such objects as human faces, printed publications, and state registration numbers are taken into consideration. At the same time, the circumstances for accepting an image are quite strict, since there is a limit on illumination, background, location relative to the lens, and so on. All this significantly facilitates the joint work of a person with a computer, and creates the prerequisites for using all kinds of systems of artificial origin of the mind. The primary goal in the development of a method and software for the automatic design of a video surveillance system is the purpose of recognize an object whose image is transmitted through the camera. Since the image of any object depends on many moments of its direction about the video camera, illumination, characteristics of the recorder, static and dynamic characteristics of the object, it is rather difficult to arrange and present a picture in the guise of a specific mathematical model. As a result, the methods for implementing a computer representation are significantly dependent on the goals being solved and are occasionally inferior to generalization. As a result, the bulk of these methods is considered non-linear. This affects the need to accumulate the calculation of computer power and the difficulty of algorithms for work acquired through the technical channels of the resulting image. In addition to technical indicators that distort the quality of a digital image, several external moments are considered, and these are: lighting around the scene, moving objects within it, etc. As a result, to obtain the best accuracy of character recognition, it is necessary to take into account all the details. The aim of this work is to study the topic of object recognition in images and video, in order to further use the results of work in creating a system for object recognition in images and video.
The Immersive Mixed Reality: A New Opportunity for Experimental Labs in Engineering Education Using HoloLens 2

The paper addresses a new direction for experimental labs in engineering education, that will facilitate a systemic approach to the educational process within the application hours of many technical disciplines. This will create new perspectives for in-depth understanding and implementation of the Industry4.0 paradigm for engineers in the control area but not only. This paper aims to present the flow for translating two pneumatic drive workstations into mixed reality on the HoloLens2 device.
JOURNALISTIC QUESTIONS METHOD IN WRITING RECOUNT TEXT

The researcher chooses this title because she found students who have difficulties to start writing at tenth grade students in SMAN 1 Mandirancan. Therefore, the aimed of the research are to know the students’ responses toward Journalistic Questions Method and to know how Journalistic Questions can be applied in teaching writing recount text at tenth grade students of SMAN 1 Mandirancan. The research was conducted using the descriptive qualitative method. The participant of this research was the second semester of X social 3, academic year 2019/2020. The data were gathered from the writing practice using journalistic questions method in the recount text. There are two instruments used in this research, i.e. interview and documentation. In conclusion, using Journalistic questions method has positive responses for students and be able to facilitate the students in writing learning process.
Library Office Innovation of the Makassar City: Influence on Increasing Public Reading Interest

This study was directed to determine the effect of Makassar City Library Office innovation on increasing reading interest. This is done on the basis of the fact that according to the UNESCO report reading interest in Indonesia has a low level of presentation, it is not comparable to the innovation efforts that have been carried out by institutions that have responsibility for increasing public reading interest. When people's reading interest is low, it will have an impact on the low quality of national education. The research respondents consisted of 46 people. The data obtained from the results of the questionnaire were strengthened by secondary data. The research findings show that the influence of Library Office of the Makassar Cityinnovation on increasing public reading interest is only 4.9%, with a calculated F value of 3,448 which is greater than F table 3.21. The probability value is 0.041. The Library Office of the Makassar Cityneeds to increase innovation in the use of technology in order to increase people's reading interest.
Significance of Citizen Patrol Corps Act Enactment and Future Measurements

In April 2022, the “Act on the Installation and Operation of Citizen Patrol Corps(Citizen Patrol Corps Act)” was enacted according to the claim that citizen patrol corps play the various important roles for regional safety, but have been not systematically managed and supported. Citizen patrol corps have been participating in crime prevention activities in each community while assisting policing for nearly 70 years in South Korea, but with the enactment of Citizen Patrol Corps Act, they will be able to carry out more systematic crime prevention activities. The citizen patrol corps, which have played the role of safety guards in the community until now, will be given legal status, which will help solve various difficult problems. The purpose of this study is to examine the concept and history of the citizen patrol corps, present the significance of citizen patrol corps act enactment, and discuss problems that may arise in the process of implementing citizen patrol corps in the future. The citizen patrol corps are fundamentally the voluntary crime prevention organization that local residents patrol for crime prevention, report crimes, and protect youth for their own local safety. Local residents should recognize the importance of citizen patrol corps activity, and actively encourage and support citizen patrol corps.
SAÚDE MENTAL DOS ESTUDANTES UNIVERSITÁRIOS EM TEMPOS DE PANDEMIA DE COVID-19

The present paper has as its general objective to investigate ecological and empathic configurations of urban residents and of countryside residents in the cities of Petrópolis, Areal, São José do Vale do Rio Preto and Paraíba do Sul, cities in the state of Rio de Janeiro.A quantitative correlational survey was carried out to collect data.The instrument used was a semi-structured questionnaire composed of sociodemographic questions (such as education, sex, age group, area of resi-dence, marital status and professional occupation), in addition to questions on the Likert scale about ecological behavior and empathy.The instruments were applied to 200 people, half of them from rural areas and the other part from urban areas.Their analysis was done statistically based on the responses of the participants.
PERANCANGAN JOB PROFILE BERBASIS SPREADSHEETS

The most important asset a company needs is the role of humans. Without the human role, the company will not run as it should. Human resource management will be easy if it has rules. Rules and objectives will be given each entry into the organization for the first time. Therefore, using a Job Profile will provide responsibilities that should be owned by every employee so that work goals are clear and focused. PT X already has a Job Profile but it's still not as expected. All data is still done manually with the help of Ms Word. The research method used is a case study exploratory research. Primary data was collected by interviewing the recruitment and HRD. The secondary data obtained is the existing Job Profile at PT X, namely in the form of soft files and hard files. The results of this study will make it easier for recruitment parties to create Job Profiles automatically using spreadsheets. There are limitations to be used as report material because the Job Profile is confidential data owned by the company. Topics that can be used as reports are Job Title, Job Description, Job Specification, and Job Competency.
Breast Ultrasound CAD System Based on Efficient Tumour Segmentation Network and Transfer-Learned Features

Breast cancer is the second most common type of cancer worldwide after lung cancer and the leading cause of cancer death among women. Over the past few decades, computer-assisted diagnostic (CAD) systems have been implemented to assist physicians. This paper introduces a CAD system to segment tumours in breast ultrasound (BUS) images and classifies them as benign or malignant. The CAD system has two stages: segmentation and classification. In the segmentation stage, we have developed an encoder-decoder network based on different backbones with various loss functions to segment the tumours. We have fine-tuned the MobileNetv2 network in the classification stage to classify the segmented tumours as benign or malignant. Our experiments demonstrate that WideResNet with BCE and Dice loss function outperforms and yields the best tumour segmentation results with a Dice score of 77.32%. The CAD system achieves a classification accuracy of 86%.