Reviewerly/exHarmony huggingface dataset:
STUDENTS’ PERCEPTION ABOUT THE EFFECT OF SCHOOL LIBRARY IN THEIR READING COMPREHENSION ACHIEVMENT

The aims of this research was to find out whether or not, the Students’ Perception about School Library a Affects their Reading Comprehension Achievment. This research was conducted at SMA NEGERI 1 LANGOWAN. The subjects were 30 students’ of  XI grade , which consisted of 25 sample. The instrument for data collection was taken from student’s questionnaire  based on Likert scale. The results showed that Since Pearson r (1.00) is bigger than r(table) (0.361) at p . 0.05 and df 28, it can then be stated that the null hypothesis (ho) is rejected, and alternative hypothesis (ha) is accepted at p 0.05 and df 28. This, in other words, means that students’perception about school library in affecting their reading comprehension are positively correlated. Thus, in turn, students who are predicted to have high reading comprehension,according to the researcher that the influence of the school library is very high to develop students' reading comprehension. In this case the researcher considers that the relationship between the school library and students’ is very important. That means there was a positive correlation between students’ perception about school library and their reading comprehension achievment.
Analysis on the Professional Development of Principals in the Reform of Headmaster Rank System: a Case Study Based on Structural Theory

The professional development of principals is a hot topic of current scholars' attention, but the existing research pays little attention to the research on the path of principals' professional development.Based on A. Giddens's structural theory perspective, this study takes a case study to analyze the principal's professional development process in the reform of the principal's rank system, and explores the impact of principal's initiative on principal's professional development.From the perspective of structural duality, principals use the educational system and educational resources to take corresponding active "actions" based on different "motives", and constantly "reflect" on rational actions, thereby promoting the professional development of principals.By improving the principal training system and principal evaluation system, perfecting the external guarantee for principals' professional development; transcending the limitations of education time and space and continuously improving oneself can promote the professional development of primary and secondary school principals.
A Visualization for Teaching Integer Coercion

Integer errors continue to create vulnerabilities. In fact, Integer Overflow or Wraparound is listed at position 11 in the 2020 CWE Top 25 Most Dangerous Software Weaknesses. This poster describes the Expression Evaluation (EE) visualization tool that helps students understand the type conversions that take place implicitly within a C program. This tool depicts step-wise the coercions that take place within the evaluation of a user specified expression with mixed integer type operands. The system enables students to create unlimited examples to test their understanding. The tool was evaluated in the classroom and shown to be easy to use and effective.
Digital synthesis of programmable photonic integrated circuits

Programmable photonic waveguide meshes can be programmed into many different circuit topologies and thereby provide a variety of functions. Due to the complexity of the signal routing in a general mesh, a particular synthesis algorithm often only accounts for a specific function with a specific cell configuration. In this paper, we try to synthesize the programmable waveguide mesh to support multiple configurations with a more general digital signal processing platform. To show the feasibility of this technique, photonic waveguide meshes in different configurations (square, triangular and hexagonal meshes) are designed to realize optical signal interleaving with arbitrary duty cycles. The digital signal processing (DSP) approach offers an effective pathway for the establishment of a general design platform for the software-defined programmable photonic integrated circuits. The use of well-developed DSP techniques and algorithms establishes a link between optical and electrical signals and makes it convenient to realize the computer-aided design of optics–electronics hybrid systems.
The Genesis of Artificial Intelligence in the Humankind’s System: a Cybernetic View

Artificial intelligence (AI) is considered, – from the standpoint of informatics-cybernetic modeling (ICM) of the development of the self-controlling hierarchical-network system of Humankind, – as a natural phenomenon closely associated with the concepts of human cognitive functions and human activity. From these positions, the concept of “human-apparatus unit” introduced earlier by the author is naturally generalized to all levels/tiers of the Humanity system located in its hierarchy above and below the level/tier of “person/personality”. That is, the phenomenon of “personal natural-artificial intelligence” is complemented by the phenomenon of “hierarchical AI” (HAI). The formation of its basic components – intelligent memory (software memory)–intelligent hardware (hardware memory)–intelligent algorithms (brainware memory) – took place in three stages (all dates are calculated). The first stage of the proto-HAI formation of intellectual memory was carried out on the basis of information technology (IT) signal poses/sounds/movements (leading during the period ~28.2-1.86 million years ago, with a culmination of ~9.26 million years ago), IT mimics/gestures (~1.86-0.123 million years ago, with a culmination of ~0.612 million years ago) and IT speech/language (~123-8.1 thousand years ago, culminating in ~40.3 thousand years ago). The second stage of the pre-HAI formation of intellectual equipment was carried out on the basis of IT writing/reading (leading during the period ~6.1 thousand years BC-~1446, with a culmination of ~0.7 thousand years BC) and IT text replication/printing (~1446-1946, culminating in ~1806). The third stage of the proper HAI formation of intelligent algorithms was carried out on the basis of IT local computers (leading during the period ~1946-1979 and further, culminating in ~1970) and IT telecommunications/networks (~1979-1981 and further, culminating in ~ 2003). The ICM-based calculation predicts the continuation of the third stage of the HAI formation, using a promising nano-apparatus supported IT (~1981 and beyond, with a culmination, presumably, either ~2341 or ~2046), etc.
Significance of Information Technology and Cyber Laws in India

Now a day’s most of the activities and financial transactions uses internet, since internet is accessible from anywhere, perpetrator takes advantage of this and commit a crime. Cybercrime is a term used to broadly describe criminal activity in which computers or computer networks are a tool, a target, or a place of criminal activity and include everything from electronic cracking to denial of service attacks. It is also used to include traditional crimes in which computers or networks are used to enable the illicit activity. Cyber criminals take full advantage of the anonymity, secrecy, and interconnections provided by the Internet. In this paper we have tried to provide information about Cyber crime, its nature, Perpetrators, Classification of cyber crime, Reasons for its emergence, In next section of this paper we have given an information about cyber law, IT legislation in India. Further in next section we have discuses about Cyber crime scenario in India. Finally Last two sections of this paper discuss about some cyber crime cases in India and some cyber crimes and punishments related with those crime.
Application of Eigenvector and Eigenvalue for facerecognition / Redhayuden Aidil Abdul Razak

Face recognition is becoming one of the major aspects in computer vision. Face Recognition have various applications including Security Systems, Augmented reality, Real time identification and many more. Over the past few decades there have been numerous works done in this field and many methods and algorithms have been proposed. Although a revolutionary progress has been made regarding face recognition under usual circumstances and small variations but when it comes to recognizing faces in extreme variations like lighting and facial expressions the accuracy of the systems decreases dramatically. In this research, application of Eigenvector and Eigenvalue will be discussed for face recognition and execute a simple program using MATLAB. Furthermore, the accuracy of Eigenface will be shown and discussed at the end of the chapter.
MAGE: Nearly Zero-Cost Virtual Memory for Secure Computation

Secure Computation (SC) is a family of cryptographic primitives for computing on encrypted data in single-party and multi-party settings. SC is being increasingly adopted by industry for a variety of applications. A significant obstacle to using SC for practical applications is the memory overhead of the underlying cryptography. We develop MAGE, an execution engine for SC that efficiently runs SC computations that do not fit in memory. We observe that, due to their intended security guarantees, SC schemes are inherently oblivious -- their memory access patterns are independent of the input data. Using this property, MAGE calculates the memory access pattern ahead of time and uses it to produce a memory management plan. This formulation of memory management, which we call memory programming, is a generalization of paging that allows MAGE to provide a highly efficient virtual memory abstraction for SC. MAGE outperforms the OS virtual memory system by up to an order of magnitude, and in many cases, runs SC computations that do not fit in memory at nearly the same speed as if the underlying machines had unbounded physical memory to fit the entire computation.
DECODING, VOCABULARY AND COMPREHENSION SKILLS OF JUNIOR HIGH SCHOOL STUDENTS

This survey- correlational study was conducted to find out the relationship of Decoding and Vocabulary Skills to the comprehension skills of Junior High School students. One hundred Twenty- five (125) students were the subjects of this study from Infant Jesus Academy, Kalibo in the School Year 2016- 2017. The dependent variable in this study was the Comprehension Skills while the independent variables were Decoding and Vocabulary Skills. Primary data were used in this study. It underwent validation and analysis. The descriptive statistics used were frequency, percentage, mean and standard deviation and the inferential statistics used were the Pearson r and linear regression to correlate the results of Decoding and Vocabulary skills to Comprehension Skills of students. The level of significance was set at 5%. Major findings of the study revealed that the students’ Decoding skills is “very competent” while the level of Vocabulary and Comprehension skills of students is “competent”. On the other hand, there is no significant relationship between the Decoding Skills and Comprehension Skills of the students. However, there is a significant relationship in the Vocabulary Skills and Comprehension Skills of students. The results of the students’ Vocabulary Skills are significant predictors to the Comprehension Skills of Junior High School students.
Comparing Various Tracking Algorithms in OpenCV

Locating an item in consecutive frames of a video is known as object tracking. It is implemented by estimating the state of the concerned object present in the scene from previous information. Since the object has been tracked till the present frame, it's known how it has been moving. More simply, the parameters of the model are known. A motion model tells the speed and direction of motion of the object from previous frames. Algorithms that track objects using this motion model are known as object tracking algorithms. There is a multitude of algorithms that can be used for the same purpose. The trouble is finding out which object tracking algorithms are best for a particular use case. In this work, we have compared two object tracking algorithms and their hybrid to find which performs better in the case of a live feed.
The Application Development of Various Types ofProfessionals for Android Based on Information Services Career Senior High School Students State 6Bandar Lampung

This study aim is to produce products such as mediaandroid based applications for career information services on the learner SMAN 6 Bandar Lampung. This research is development. Subjects were taken in this study using the technique of random as many as 26 learners in SMAN 6 Bandar Lampung. Data collection using questionnaires and observation.Analysis of the data used to use conversion guidelines assessment scores into five categories to see the differences between themean pretest and posttest mean then performed paired samples Test. Products that dihasil own validation subject matter experts, expert design, and media experts, each of which states that the product is eligible for ujicobakan after the revision. The results of the small group trial, limited testing and field trials produceproducts in very good criteria. Furthermore, the productsproduced in the form of Android-based applications have asignificant efficacy for career information services. This is confirmed by the results of Test paired samples were obtained 38437 t count> t table 2086 thus then, Ho is rejected and Ha accepted, which means that there is an increasing before and after using android based applications for career information services. Keywords: android-based applications, various types ofprofessions, career information services
Hyper-Casual Simulation Video Games May Not Be Original Enough to Enjoy Copyright Protection, but Game Cloning Could Still Be Prevented by Relying on Unfair Competition: Voodoo v Rollic Games and Hero Games (Tribunal Judiciaire De Paris, 4 September 2020)

On 4 September 2020, the Tribunal Judiciaire of Paris ruled that the mobile game Woodturning 3D was not original enough to enjoy copyright protection, but nonetheless granted an injunction and other remedies against a clone of the game on unfair competition grounds. This paper comments the decision and analyses the topics of copyright subsistence for video games, copyright protection for (combinations of) game mechanics, and unfair competition as an additional weapon against game cloning.
ACQUISITION OF WH-QUESTIONS BY SECOND LANGUAGE SPEAKERS OF ENGLISH IN PAKISTAN

Purpose of the study: The purpose of the current study is to investigate the acquisition of Wh-questions of English by Urdu L1 speakers in Pakistan. Acquisition of different syntactic structures has been an attractive area of interest for the scholars working in the area of second language acquisition. The study draws on approaches of Universal Grammar (UG) and Second Language Acquisition (SLA). The researchers aim at finding out whether the second language is acquired in the same way as the first language or not. Both Urdu and English allow Wh-questions formation but the placement of the Wh-word is completely at a different position. Urdu is an in-situ language that does not allow Movement of the Wh-word, and English allows the Movement of the Wh-word. So, this study highlights whether speakers of Urdu can acquire the structures of Wh-questions or not.&#x0D; Methodology: The study uses a mixed-method research design, and the data was collected from the speakers of Urdu who speak it as their native language in order to draw the findings. The current research employs a questionnaire that is divided into two parts: elicitation task and grammatical judgement task. For the elicitation task, the students were provided with the statements with the underlined words of which they had to form Wh-questions and for the second, a task was designed on the basis of the lickert scale and it was designed to judge the grammar of the students. The population of this study is limited to speakers of Urdu who speak English as their second language and the sample was selected from the vicinity of Sargodha city of Pakistan.&#x0D; Main Findings: The results of this mixed-method study reveal that students face problems while forming and identifying Wh-questions, despite compulsory education in English. The findings of the current study supported the partial access hypothesis.&#x0D; Applications of this study: The study is very important in the area of second language acquisition and informs how the speakers of the English language as a second language acquire the Wh-question structure. The study can be applied in designing teaching materials for the learners of English as a second language besides informing the language software modulation in order to ease the language learning process.
Системные основы и социобиологические драйверы антропогенеза

The systemic scheme of the “black box” is a starting point to elaborate an explanatory approach to the main characteristics of anthropogenesis. Next steps are the stages of sapientization and the functionalist concept of care / structure which allows describe and explain the processes of biological and social (cultural) evolution in a unified manner. The most important processes of anthropogenesis associated with social interactions and communication have left no direct traces. That is why their analysis and explanation require special logic and methodology. An extended approach to the scientific explanation by K. Hempel is a special cognitive tool to overcome this difficulty. The models of gene-cultural co-evolution and cultural drive help to reveal the nature of the internal driving mechanisms (drivers) of anthropogenesis.
CLAVERIA READING TECHNIQUES: ITS EFFECTIVENESS DURING THE DISTANCE LEARNING

Reading abilities are required for a person to learn from texts and are crucial for lifelong learning. Using reading methods is an excellent technique to fully comprehend literature (McNamara, 2009). Students rarely pick up reading skills on their own; as a result, they must be explicitly taught. However, it is extremely difficult for students to study during this pandemic because there is restricted time for teachers and students in live online meetings, particularly among Grade One students. Since one of the key challenges in the first grade is non-readers, this study intends to determine the effectiveness of E.S Claveria strategies in teaching reading in the period of distant learning. Based on the quantitative findings, we can conclude that the ER Claveria method of teaching reading has a beneficial impact on students, except for the alphabetic principle, which the majority of students are still learning. On the qualitative side of the data, the researcher interviewed the participants' parents about their experiences teaching their children to read using the methodology and their views on their children's growth. Because of the picture, the parents agree that this technique piques their child's interest, and the material is simple to utilize. It is well-organized, and the exercises provided are quite beneficial.
Productive Interdisciplinarity: The Challenge that Human Learning Poses to Machine Learning

Recent efforts in the Hybrid Architectures for Learning Program sponsored by the Office of Naval Research were based on applying general computational hybrid models of learning to three human learning tasks. Each task had learning performance data available. The issue was to run the basic hybrid model on a selected task to verify the model’s performance relative to the actual human data and to evolve the model, increasing the match between the learned performances, to obtain a better predictive/explanatory model of the human process.
Analysis of Dropout in ANN using MNIST Dataset

The concept of Neural Networks is propelled by the neurons within the human brain and researchers needed a machine to imitate the same process. A Neural Network (NN) is a circuit of connected neurons, or in a present-day sense, an artificial neural network, composed of artificial neurons constructed for solving artificial intelligence problems. In the deep neural network, Overfitting is a severe issue. This issue could be caused by unbalanced datasets and incorrect model parameter initialization, which causes the model to adhere too closely to the training data and reduces the model's generalization performance for unknown data. To overcome such problems, Regularization techniques are used. This technique modifies the learning algorithm in a way that increases the model's generalization and performance. Dropout is one such regularization technique for addressing the overfitting problem. During the training, it randomly drops the hidden units or neurons to prevent the units or neurons from co-adaption. This method significantly reduces the overfitting and improves the performance of the neural network model. Dropout is preferred for large neural networks in order to have more randomness.
APPLICATION OF GREEN CHEMISTRY ORIENTED ALTERNATIVE FUEL E-MODULE

The purpose of this research was to apply an e-module of alternative fuel oriented to green chemistry. The method used was pre-experiment. The data sources in this study came from 40 students of the second semester of the Chemistry Education Study Program who enrolled in General Chemistry II using worksheets instrument and from observers who used observation sheets by observing student activities during the learning process. The application of e-module with green chemistry oriented alternative fuel in this study used a scientific learning process that ran very well because in each stage all students play an active role during the learning process. This was evidenced by the average results of student activity implementation which are 86.83% with very high category. The results obtained were due to the teaching material media in the form of e-module with green chemistry oriented alternative fuels plays a role in the active learning process.