Reviewerly/exHarmony huggingface dataset:
Critical Literacy-Based Instruction In Teaching Reading: Insights And Challenges

Teaching reading in the Indonesian educational system still focuses only on the comprehension and vocabulary exercises and does not encourage learners to become critical thinkers in reading the text. Critical literacy-based instruction is a critical thinking development technique that helps students become active meaning-makers. This study investigated teachers understanding and challenges on critical literacy-based instruction in teaching reading. In this case study, the research questionnaire and interview were used as instruments of data collection. The data collected from the respondents were gathered together to be analyzed using qualitative analysis of interactive models. The result of this study shows that some teachers were in misconception about critical literacy. They are also difficult to differentiate the concept of Higher Order Thinking Skills (HOTS) and critical literacy. Besides, they face several obstacles and challenges in implementing critical literacy-based instruction in teaching reading. Mostly, when they asked students to evaluate multiple texts to study how the story changes when told from different perspectives, read from a resistant perspective, and produce counter texts. Enhancing students critical thinking ability in reading can be approached from three perspectives; critical thinking, critical pedagogy, and critical literacy. This study only focused on critical literacy in teaching reading. This study will be preliminary inputs for the readers or other researchers to further study in a similar research area with different interests.
Systematization of Corner Cases for Visual Perception in Automated Driving.

One major task in automated driving is the development of robust and safe visual perception modules. It is of utmost importance that visual perception reacts adequately to so-called corner cases, which range from overexposure of the image sensor to unexpected and potentially dangerous traffic situations. Their detection thus has high significance both as an online system in the intelligent vehicle, but also in the extraction of relevant training and test data for perception modules. In this paper, we provide a systematization of corner cases for visual perception in automated driving, with the categories being structured by detection complexity. Furthermore, we discuss existing metrics and datasets which can be used for the evaluation of corner case detection methods depending on their suitability to provide beneficial information for the various categories.
Hierarchical Variational Autoencoder for Visual Counterfactuals

Conditional Variational Auto Encoders (VAE) are gathering significant attention as an Explainable Artificial Intelligence (XAI) tool. The codes in the latent space provide a theoretically sound way to produce counterfactuals, i.e. alterations resulting from an intervention on a targeted semantic feature. To be applied on real images more complex models are needed, such as Hierarchical CVAE. This comes with a challenge as the naive conditioning is no longer effective. In this paper we show how relaxing the effect of the posterior leads to successful counterfactuals and we introduce VAEX an Hierarchical VAE designed for this approach that can visually audit a classifier in applications.
LibGuides: Use Library Search: What's included in Library Search?

Learn how to use Library Search to find the different types of resources you require for your research
Design of embedded optical cable anti extemal damage early waming system based on lonely forest statistical algorithm

The buried cable laying method is gradually favored because it solves the environmental protection problems of urban construction. The new city basically chooses the buried type operation under the condition of pipeline permission, but it increases the maintenance difficulty for the distribution network operation and maintenance personnel. In order to meet the demand of this application, this paper designs a kind of external stress sensitive detection function of distributed sensing optical fiber, combined with the computing advantages of Fourier transform and lonely forest algorithm, transforms the time-domain information of optical fiber into frequency-domain information, and extracts the sensitive phase amplitude and position important parameters in the frequency domain, and compares them with the storage fault threshold value of power optical fiber external failure event In addition, the system can detect the failure event in time and send out warning information to avoid further cable damage. Compared with other data algorithms, the system detection and fault evaluation method designed in this paper has high accuracy, strong matching of application requirements and practicability to solve problems.
Weight Estimation and Evaluation of User Suggestions in Mobile Browsing

This study investigates the suggestion system of a mobile browser. The goal of a suggestion system is to assist the user by presenting relevant suggestions in an ordered list. By weighting the diff ...
Dr. A M Michael: Pioneering Water Conservation and Agricultural Informatics

Dr. Michael is an internationally acclaimed figure in the field of Water Resource Development and Management. He is known for developing irrigation systems, which minimise water loss. He established his position as an institution builder of high repute in agricultural sector of India.Beyond all this he is one who first initiated projects that can harness the power of ICT for agricultural education, research, extension and development and laid the foundation for applying Agricultural Informatics to prepare the sector in India for the networked society. Actually the developments that resulted in the establishment of Knowledge Management Systems like Shodganga, KrishiPrabha etc have roots in the innovative ICT projects he initiated in nineteen nineties when such systems are not even dreamed off. Even after three decades the higher education and research systems especially for agriculture could not envision or implement ICT compliant systems, which he achieved.
A New Pedestrian Feature Description Method Named Neighborhood Descriptor of Oriented Gradients

In view of the issue of the mechanism for enhancing the neighbourhood relationship of blocks of HOG, this paper proposes neighborhood descriptor of oriented gradients (NDOG), an improved feature descriptor based on HOG, for pedestrian detection. To obtain the NDOG feature vector, the algorithm calculates the local weight vector of the HOG feature descriptor, while integrating spatial correlation among blocks, concatenates this weight vector to the tail of the HOG feature descriptor, and uses the gradient norm to normalize this new feature vector. With the proposed NDOG feature vector along with a linear SVM classifier, this paper develops a complete pedestrian detection approach. Experimental results for the INRIA, Caltech-USA, and ETH pedestrian datasets show that the approach achieves a lower miss rate and a higher average precision compared with HOG and other advanced methods for pedestrian detection especially in the case of insufficient training samples.
The Continuous Reinforcement Compound Pavement Construction Quality Remote Monitoring System Based On Internet Of Things Communication Technology

In order to solve the problems existing in the traditional continuous reinforcement compound pavement construction quality remote monitoring system, such as long reaction time of the monitoring system and high data packet loss rate during the monitoring process, this paper proposes to design a continuous reinforcement compound pavement construction quality remote monitoring system based on the Internet of Things communication technology. The system mainly includes continuous reinforcement compound pavement construction quality data processing module, data wireless transmission module and remote monitoring core module. Among them, the data processing module designs the collection process of construction quality data of continuous reinforced composite pavement, determines the relevant pavement quality data that needs to be collected, and adopts the improved median filtering method to conduct noise reduction processing on the collected pavement quality data, so as to realize the construction quality data processing of continuous reinforced composite pavement. In the data wireless transmission module, the main dynamic characteristics of the communication technology of the Internet of Things are analyzed, the sensor range and the over-order signal response of the communication sensor of the Internet of Things are calculated, and the electrical signal conversion circuit is designed. To ensure the stable data transmission of the communication sensor of the Internet of Things; In the core module of remote monitoring, the received continuous reinforced composite pavement construction quality data are received and stored, and displayed in multiple displays, completing the system design. The experimental results show that the shortest response time for remote monitoring of construction quality of continuous reinforced composite pavement is about 0.11s, and the packet loss rate of the data is always less than 10%, which verifies the reliability of the proposed system.
Research Guides: CIS 252 - Database Security: LibKey Nomad & Unpaywall

A guide for CIS 252 students working on database security papers. How to use Google Scholar and Academic Search Complete to research database security.
Pedagogical Mechanisms Of Improving Educational Quality Monitoring In Higher Educational Institutions

It was recognized that one of the most pressing issues facing the modern higher education system is to improve the quality of education through the management of the educational process. The quality of education as an object of scientific research has been widely studied and introduced in the developed countries of the world. Although the focus on the quality of education in the educational process has not diminished, it is now taking shape as an educological system.It is necessary for each university to implement the principles of general quality management in accordance with its conditions and characteristics. This is a very important issue, because the uniqueness of the traditions of quality management, popular abroad, should not lead to the loss of the socio-cultural environment created over many years.The quality of management of the educational process in a higher education institution depends primarily on its constituent elements, mainly formed on the basis of a comprehensive study of the following quality indicators: the quality of applicants and students entering higher education; quality of educational programs; quality of scientific and pedagogical staff; educational process, quality of pedagogical activity; quality of material and technical base; quality of information and communication environment; quality of research work; quality of educational process management; innovative activity of management; systematic management of innovation processes; competitiveness of graduates in the labor market
A Hybrid Algorithm of Path Planning for Automated Guided Vehicle in Complex Industrial System

With the improvement of production efficiency, the rise of labor cost and the enhancement of health awareness, the demands for Automated Guided Vehicle (AGV) are increased for industry. AGV under industry environment is the research hot spots of handling equipment. Autonomous path planning is the core task of autonomous motion control for AGV. The accurate and effective paths are planned, and dangerous obstacles is avoided by AGV availably for handling safety. Hybrid path planning approach of AGV in complex industrial system is presented in this paper. This method is combined global and local path planning algorithm based on the analysis of vehicle motion mathematical model. Modified bidirectional A* algorithm is used in global path planning and velocity obstacles algorithm is used in local one. Simulation results show that the proposed method is feasible.
Smart Contracts and the Limits of Computerized Commerce

Smart contracts and cryptocurrencies have sparked considerable interest among legal scholars in recent years, and a growing body of scholarship focuses on whether smart contracts and cryptocurrencies can sidestep law and regulation altogether. Bitcoin is famously decentralized, without any central actor controlling the system. Its users remain largely anonymous, using alphanumeric addresses instead of legal names. Ethereum shares these traits and also supports smart contracts that can automate the transfer of the cryptocurrency. Ethereum also supports specialized “tokens” that can be tied to the ownership of assets, goods, and services that exist completely outside of the Ethereum blockchain. By some accounts, cryptocurrencies and smart contracts will revolutionize private law. Some argue they have the potential to displace contract and property law. In this Article, I will argue that a complete revolution is not inexorable. Facing the technical and complicated nature of this subject, we should keep in mind a simple fact: cryptocurrencies and smart contracts are computer data and computer programs. To a large extent, they will have legal force only if given force by judges, regulators, and legislators.
POLITIQUE BUDGETAIRE ET REDUCTION DE LA PAUVRETE, A TRAVERS LES DEPENSES SOCIALES AU MALI : ANALYSE A PARTIR D'UN MODELE A CORRECTION D'ERREURS

This article raises the issue of the relationship between economic policy and social development. More specifically, by focusing specifically on the theme policy and poverty reduction through social spending in Mali, we sought to analyze to what extent the State of Mali through its fiscal policy can ensure the achievement of 'an objective of economic growth and promoting poverty reduction in the medium and long terms. As a main hypothesis, this research sought to verify whether Mali's fiscal policy contributed to poverty reduction. The econometric approach used was based on an autoregressive, error correction (ECM) type model. The results obtained show that Mali's budget is pro-poor (nearly 60% of total public expenditure) and made it possible to clearly highlight the existence of a positive and significant relationship between education and health expenditure and GDP per capita (the short and long term elasticities are all positive). We propose a set of economic policy implications (measures) going in the direction of better targeting of social spending, strengthening the efficiency of public spending, and even the promotion of rights to education and health. .Keywords: fiscal policy, poverty, social spending, health, education, elasticities, short term, long term.
Optical Qubits and Quantum Logic Operations

One of the interesting features of double-slit experiment is the likelihood of casting the distribution of the intensity on the screen when the photon is capable of interfering with itself due to the inaccessibility of the information of which-path (see Chap. 4 ). One may recall that the moment the which-path question is answered, the interference pattern disappears.
Application For Detection of Pedestrian Position on Zebra Cross

Zebra cross is a crossing facility, but some people choose to cross outside the crossing area. Location tracking is a technology used to observe or track moving or stationary objects and provide location data for further processing. In this study, location tracking uses the location-based service algorithm designed on the Android system to map crossing facilities, especially the zebra cross. This system maps the position of longitude and latitude zebra cross. It tracks the status of pedestrians who will then compare the distance between the zebra crossing with the pedestrian, so it is expected to help pedestrians cross safely. The results of the experiment show that functionally the application has been able to map the position of the zebra crossing and the position of a crosser. However, the point reading of this app is still not perfect.
Rationalization of a Regional SWAT Team

Most small to medium sized agencies are hard pressed to have the personnel to cover their shifts much less having a special weapons and tactics (SWAT) team. Cities also have budgetary, training, and equipment constraints as well. But law enforcement officers and executives have a duty to do everything in their power to protect their citizens. Society expects their police agency to be trained and equipped and ready to handle any situation that occurs in a timely manner. Police administrators must think outside the box and come to the realization that due to their department’s size, budget constraints, equipment issues, and training, they may need assistance to be that complete police service that the community believes they are. Law enforcement agencies should consider being part of a regional SWAT Team.One way of doing this is by combining resources with surrounding agencies. They share equipment, manpower, trainers, knowledge, and experiences that each agency will bring to the team. This cuts down on costs, equipment issues, training issues, and manpower issues. Also, having a well thought out and written Memorandum of Understanding (MOU), department heads that have already been involved with the selection process of their SWAT commander know up front what type of control they have over the team while in their jurisdiction. The transition to a multi-jurisdictional team is much smoother and less confrontational when all of the issues have been discussed and written out prior to implementing the team. Being a part of a multi-jurisdictional/Regional SWAT team is achievable even for a small to medium-sized agencies. This gives superior service to the communities they serve.
A Study on the Trend of Questions of Chinese Classical Literature in Current Chinese-major Secondary School Teacher Selection Test: Focusing on Previous Questions from 2014 to 2020

This study examined the trend of questions of classical literature in current Chinese-major secondary school teacher selection test. First, the study investigated the evaluation fields and categories, and based on that, the classical literature question items were extracted from the previous questions of secondary school teacher selection test of 2014 to 2020. As a result, total of 28 items were found from the tests during the last 7 academic years. Thus, the study examined these 28 items in various perspectives such as item type and its percentage, composition and evaluation tasks, the proportion of single questions and compound questions, distribution by period, and evaluation contents by area to see the trend of questions of current secondary school teacher selection test.<BR> Chinese teachers should consider literary attainment and cultural cultivation in addition to imparting Chinese knowledge and skills to students. For this reason, an understanding of Chinese classical literature is a prerequisite for pre-service teachers. It is hoped that the results of this study will serve as a learning guide for pre-service teachers to learn about classical literature, and will serve as an opportunity for test developers to develop questions with high validity.
SIMBox bypass frauds in cellular networks: a survey

Due to their complexity and opaqueness, cellular networks have been subject to numerous attacks over the past few decades. These attacks are a real problem to telecom operators and cost them about USD 28.3 Billion annually, as reported by the Communications Fraud Control Association. SIMBox fraud, which is one of the most prevalent of these telephone frauds, is the main focus of this paper. SIMBox fraud consists of diverting international calls on the VoIP network and terminating them as local calls using an off-the-shelf device, referred to as SIMBox. This paper surveys both the existing literature and the major SIMBox manufacturers to provide comprehensive and analytical knowledge on SIMBox fraud, fraud strategies, fraud evolution, and fraud detection methods. We provide the necessary background on the telephone ecosystem while extensively exploring the SIMBox architecture required to understand fraud strategies. Our goal is to provide a complete introductory guide for research on SIMBox fraud and stimulate interest for SIMBox fraud detection, which remains little investigated. In this vein, we conclude the paper by presenting insights into tomorrow's SIMBox fraud detection challenges.
Research on new energy data sharing platform based on IOT identification and positioning technology

The construction and maintenance of new energy stations involves multi-parties, such as site-built users, site investors, site constructors, site operators, equipment suppliers, and government regulatory departments. Due to the different demands and transactions for each entity, the application systems should also be different. “Isolated Island of Data” problem formed, because data resources distribute in various business systems, and information interactions are complexly. To solve problems above, this paper proposes a new energy data sharing platform technical solution that integrates Internet of Things identification and positioning technology. The paper gives an architecture for a new energy data sharing platform technical, and analyzed the beneficial effects of the new energy data sharing platform application. The result shows the data sharing platform can effectively get through the isolated islands of information between multi-agent systems in the industrial chains of new energy stations. The solution is practical significant to the interconnection of multiple main systems.
1-Stage Face Landmark Detection Using Deep Learning

In this paper, we propose a new face landmark detection method. In previous methods, face detection was essential before a face landmark detection. The disadvantage of these methods is that they are greatly affected by the performance of the face detection model. In order to overcome this disadvantage, we proposed a method to simultaneously detect the face region and the face landmark. The basic idea came from 1-stage object detection. The structure of the Yolo v3 model, a representative 1-stage object detection model, was modified to find the landmark, and the loss function for training was modified to learn the coordinates of the landmark. In addition, MobileNet was used as the backbone network to increase the processing speed. In order to check the performance of the proposed model, the model was trained using the 300 W-LP database. It was then tested using Helen and LFPW databases, and the average normalized error was used as the evaluation metric. As a result of the evaluation, it was confirmed that the proposed model has improved performance over the previous methods.