Reviewerly/exHarmony huggingface dataset:
LibGuides: Poetry For Children: Children's Poetry

This guide aims to direct caregivers and educators to resources such as books, websites, and activities that inspire reading, singing, creating, and recognizing the poetry around us everyday.
Prior art search and reranking for generated patent text

Generative models, such as GPT-2, have demonstrated impressive results recently. A fundamental question we'd like to address is: where did the generated text come from? This work is our initial effort toward answering the question by using prior art search. The purpose of the prior art search is to find the most similar prior text in the training data of GPT-2. We take a reranking approach and apply it to the patent domain. Specifically, we pre-train GPT-2 models from scratch by using the patent data from the USPTO. The input for the prior art search is the patent text generated by the GPT-2 model. We also pre-trained BERT models from scratch for converting patent text to embeddings. The steps of reranking are: (1) search the most similar text in the training data of GPT-2 by taking a bag-of-word ranking approach (BM25), (2) convert the search results in text format to BERT embeddings, and (3) provide the final result by ranking the BERT embeddings based on their similarities with the patent text generated by GPT-2. The experiments in this work show that such reranking is better than ranking with embeddings alone. However, our mixed results also indicate that calculating the semantic similarities among long text spans is still challenging. To our knowledge, this work is the first to implement a reranking system to identify retrospectively the most similar inputs to a GPT model based on its output.
Ansys Real Time Physics Based Radar Simulation – An Enabler for Machine Learning in the Context of Autonomous Driving

It has felt like Covid-19 had a stranglehold on us. But we haven‘t allowed ourselves to be defeated. On the contrary, we are taking advantage of the opportunities that arise as a result. Not only the long-overdue push towards digitalization, for example, but also the time gained by making fewer journeys. Those who show strength now and position themselves for the future will win. And that is exactly the reason why we have been preparing ELIV 2021 with such a lot of enthusiasm.
Evaluation and Optimization of University Students' Entrepreneurial Ability Training Strategy Based on Multi - source Data Fusion Analysis

In today's society, it is under the background of the popularization of higher education. With the continuous expansion of higher education enrollment and the scale of higher education, the number of graduates has increased year by year, and the employment problem of college students has become more and more serious, which has aroused great concern from all walks of life. Methods: Under the background of employment difficulties, college students' self-employment has opened up a new way for college students' employment problems. More and more college students are plunging into the craze of entrepreneurship. The main reason for the long-term difficulties in the cultivation of higher education talents is that there is no effective means to determine the actual situation of individual entrepreneurs' innovation and entrepreneurship, and their ability cultivation is not targeted.Results:The purpose of this paper is to alleviate the employment pressure of college students and promote the good development of the employment situation in China. Conclusion: This paper attempts to provide the optimal way to improve the cultivation of college students' innovation and entrepreneurship ability from the connotation and composition of innovation and entrepreneurship ability, the use of mapping method, the use of multi-source data means, according to the actual measurement results of individual college students. In order to improve the entrepreneurial ability of college students, strategies are put forward for the cultivation of entrepreneurial ability of college students based on the analysis results.
Effect dyslexia on early learning of mathematics to the children

Many dyslexic children have problems in math, particularly the multiplication tables, fractions, decimals, percentages, ratios, and statistics.A dyslexic student usually requires extra teaching, mainly as new concepts do introduce.With this subject, it is vital to grasp each concept thoroughly before moving on.Although research has indicated that difficulties in language experienced by dyslexic people frequently go hand in hand with problems in mathematics, there has been too little emphasis on expert study for those having problems with math (Henderson, 2013).With the help of specialist teaching and the introduction of effective strategies into their learning, these people can get higher levels of mathematical understanding and functioning.This paper will examine how dyslexia can affect mathematics teaching and how cognitive weakness can affect mathematics teaching for dyslexic learners.Then explore how to assess and diagnose the mathematics difficulties for students with dyslexia.The researcher will also consider how to facilitate mathematical learning in children with dyslexia.
Using Preprocessing Text Mining With Nazief-Adriani Algorithms Similarity Of Essay Final Exam Semester

The test is one way to measure the level of student ability in participating in learning. One type of exam given to students is the type of essay exam. This research focuses on making automatic grading for essay-type tests using cosine similarity. This method has several stages such as tokenizing, filtering, stemming, analyzing, weighing words in documents with cosine similarity. The stemming process uses the Nazief & Adriani algorithm. The results of this study are concluded that the selection of words that are considered as keywords in the answer key greatly affects the results of the assessment of the system. This is evidenced by testing applying the cosine law of 89.5%. However, there are several types of questions that are significantly different because there are unique characters in the database and answer keys that do not contain keywords that match the correct answer.
Automated grading assignments in programming – advantages, problems and effects on learning

E-education is having a great growth in the last few years. It is obvious that the need for e-learning software is growing. In the process of learning, grading assignments is one of the most important activities. Grading, programming languages and environments are not standard across different educational facilities, that’s why many tools for grading are made especially for one or a set of courses. While there are several tools that are made for universal use, often they don’t support all features that are needed for different courses. In this paper, reasons for automatization of grading activity will be presented, but also problems and considerations which must be resolved while developing such a system. Also, a model for grading complex programming assignments will be presented, which should provide the necessary flexibility for most of the courses.
The effectiveness of spelling bee game through students’ vocabulary mastery

This study aimed at investigating whether or not there was a significant difference in vocabulary mastery between the students who were taught by using spelling bee game and those who were taught by using memorization through flash card. This research was quasi-experimental in nature. This study was conducted in pre-test and post-test design. The population was students of the fourth grade in elementary school in SD Negeri 3 Banjar Jawa. Random Sampling was assigned to determine the samples of the study. There were 30 students in Class A as the experimental group which was taught by using spelling bee game and 30 students in Class B as the control group which was taught by using memorization through flash card. The obtained data were analyzed through descriptive analysis and inferential analysis. The effect size was calculated by using Cohen’s d testing. Based on the findings, the result proved that there was a significant difference in students’ vocabulary mastery. The students who were taught using Spelling bee game also showed positive attitude during the learning process. There were three reasons why spelling bee game was better to be implemented, namely it helps the students to remember words better, it is enjoyable, and it makes students more active.
Proposed Framework for Implementing Cloud Computing in Yemeni Hospitals

Cloud computing technology is one of the most important trends in information technology (IT) today. It is an important alternative to ensure high data processing and exchange. Thus, this technology can be employed in the health sector to exchange the patient’s medical records and health-related information. In this work, we have proposed a cloud-based framework for electronic medical record exchange for Yemeni hospitals and healthcare centers. The framework ensures confidentiality and privacy of patient’s data and provides all beneficiaries of cloud computing with all the necessary information.
Machine Learning in Mineral Exploration: A Tutorial

This is a preprint version of a paper that is or may be under consideration of publication. It does not contain changes and edits that will be made during peer review, or updates, edits and alterations by the authors and the publisher that may occur prior to acceptance and final publication.
LibGuides: Graphic Arts and Design: Databases / Online Resources

Good resources for graphic arts (+Animation). Plus see ART guide. Databases for journal articles, e-books, videos, etc.
Short Paper: Terrorist Fraud in Distance Bounding: Getting Around the Models

Terrorist fraud is an attack against distance bounding protocols, whereby a malicious prover allows an adversary to authenticate on their behalf without revealing their secret key. In this paper, we propose new attack strategies that lead to successful terrorist frauds on proven-secure protocols.
Improving Performance and Energy Efficiency of GPUs through Locality Analysis

Author(s): Tripathy, Devashree | Advisor(s): Bhuyan, Laxmi | Abstract: The massive parallelism provided by general-purpose GPUs (GPGPUs) possessing numerous compute threads in their streaming multiprocessors (SMs) and enormous memory bandwidths have made them the de-facto accelerator of choice in many scientific domains. To support the complex memory access patterns of applications, GPGPUs have a multi-level memory hierarchy consisting of a huge register file and an L1 data cache private to each SM, a banked shared L2 cache connected through an interconnection network across all SMs and high-bandwidth banked DRAM. With the amount of parallelism GPUs can provide, memory traffic becomes a major bottleneck, mostly due to the small amount of private cache that can be allocated for each thread, and the constant demand of data from the GPU’s many computation cores. This results in under-utilization of many SM components like register file, thereby incurring sizable overhead in the GPU power consumption due to wasted static energy of the registers. The aim of this dissertation is to develop techniques that can boost the performance in spite of small caches and improve power management techniques to boost energy saving.In our first technique, we present \textit{PAVER}, a priority-aware vertex scheduler, which takes a graph-theoretic approach towards thread-block (TB) scheduling. We analyze the cache locality behavior among TBs and represent the problem using a graph representing the TBs and the locality among them. This graph will then be partitioned to TB groups that display maximum data sharing and assigned to the same SM by the locality-aware TB scheduler. This novel technique also reduces the leakage and dynamic access power of the L2 caches, while improving the overall performance of the GPU. In our second study, \textit{Locality Guru}, we seek to employ the JIT analysis to find the data-locality between structures at various granularity such as threads, warps and TBs in a GPU Kernel using the load register's address tracing through a syntax tree. This information can help make smarter decisions for a locality aware data-partition and scheduling in single and multi-GPUs.In the previous techniques, we gained performance benefit by exploiting the data-locality in the GPUs, which eventually translates to static energy saving in the whole GPU. Next, we analyze the static energy saving of the storage structures like L1 and L2 caches by directly applying power management techniques to save power during the time they are idle.Finally, we develop, \textit{Slumber}, a realistic model for determining the wake-up time of registers from various under-volting and power gating modes. We propose a hybrid energy saving technique where a combination of power-gating and under-volting can be used to save optimum energy in the register file depending on the idle period of the registers with a negligible
Analisis Sentimen E-Wallet di Twitter Menggunakan Support Vector Machine dan Recursive Feature Elimination

Grouping of positive or negative sentiments in text reviews is increasingly being done automatically for identification. The selection of features in the classification is a problem that is often not solved. Most of the feature selection related to sentiment classification techniques is insurmountable in terms of evaluating significant features that reduce classification performance. Good feature selection technique can improve sentiment classification performance in machine learning approach. First, two sets of customer review data are labeled with sentiment and then retrieved, processed for evaluation. Next, the supports vector machine (svm-rfe) method is created and tested on the dataset. Svm-rfe will be run to measure the importance of the feature by rating the feature iteratively. For sentiment classification, only the top features of the ranking feature sequence will be used. Finally, performance is measured using accuracy, precision, recall, and f1-score. The experimental results show promising performance with an accuracy rate of 81%. This level of reduction is significant in making optimal use of computing resources while maintaining the efficiency of classification performance
The Impact of Empowering Human Resources on Achieving Effective Performance: A Field Study on Workers in Jordanian Newspapers

This study aimed to identify the impact of empowering human resources with its dimensions (efficiency at work, exchange and sharing of information, training and development, independence at work) in achieving effective performance among workers in Jordanian newspapers.The study sample was chosen randomly from the employees of the Jordanian newspapers (publications), and their number was (298) workers, and the questionnaire relied on in collecting data.This study concluded that human resources empowerment was generally of high importance, while it was found that performance effectiveness was of medium importance.The results of the simple regression test showed a statistically significant effect at the level (α≤0.05) to enable human resources to achieve the effectiveness of performance in the Jordanian newspapers.The study recommended the need to raise the level of independence at work, work to raise the level of training and development among workers in Jordanian newspapers.
Tracking Method without Prior Information when Multi-group Targets Appear Successively

Considering the problem of multi-group maneuvering target tracking, a fast tracking method based on Interactive Multiple Maneuvering Gaussian Mixture Probability Hypothesis Density (IMM-GM-PHD) algorithm is proposed. Firstly, based on the completion of the IMM-GM-PHD algorithm prediction process, the density detection mechanism is added, and the correlation domain is used to select effective measurement for all predicted Gaussian components, and the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm is combined to detect whether a new formation target appears. Secondly, based on the completion of the state update of the IMM-GM-PHD algorithm, the update of the model probability is completed by updating the composition of the Gaussian component. Finally, in the process of state estimation optimization, combined with the characteristics of formation targets, the similarity discrimination technique is added, and the Jensen-Shannon (JS) divergence is used to measure the similarity between Gaussian components, and the Gaussian components without similar components are eliminated, and the estimation results are further optimized. The simulation results show that the proposed algorithm can track multi-group maneuvering targets quickly and effectively, and has better tracking performance.
Social Studies and the Nigerian Child: Review of Abraham Maslow Ideas in dealing with Problems

This paper assessed Maslow Hierarchy of needs which has great implications for the practice of effective teaching and learning. It also discussed the seven levels of needs as physiological needs, safety and security needs, love and belongingness needs, self-esteem or self-worth needs, understanding and knowledge needs, aesthetic needs and self-actualization needs. The National philosophy of education in Nigeria recognizes the need for Social Studies education in building the desired orientation needed after independence in mobilizing the young citizens for national development. An explanation was also made on the challenges of the Social Studies education teachers in meeting the needs of the Nigerian child. Nigerian child is the bedrock of the Nigerian society therefore; it is pertinent to consider their basic needs. The paper discussed the goals and aim of Social Studies education within the view to examine and understand the communities locally and globally, their various heritages, physical systems, interactions and the nature of citizenship within them. Learning must be structured to permit critical thinking and experience based while the Nigerian child should be encouraged to interact among themselves and practice democratic values in school and beyond. The paper concluded that the nature of any society is determined by its educational system, so, to solve the problems of the society, emphasis should to be laid on what and how a subject is taught. If Social Studies is to deliver purposeful and meaningful instructions in Nigerian context, it must engage in challenges of real life activities which directly link the school and community.
Chapter 4. The Digital Divide

Chapter 4 of Library Technology Reports (vol. 57, no. 2), “Mobile Technology in Libraries,” introduces the digital divide and how it relates to mobile technology. First, I will define the digital divide, and then I’ll discuss how libraries are helping bridge the divide by checking out Wi-Fi hot spots, partnering in different ways with schools and mobile technology programs, and training customers to use mobile technology.
LibGuides: Gateway Library Instruction Conference 2019: Facilitators

Program details to the 4th Gateway Library Instruction Conference to be held on Friday, July 19, 2019
Film appreciation as a didactic tool and learning styles in students of Communication Sciences at a public university in Lima.

The purpose of this research is to explain how film appreciation as a didactic tool and learning styles are developed in Communication Sciences students at a public university in Lima. The participants were 300 students of both genders. The research is of mixed approach, the scope is explanatory and the design is sequential transformational. The results show that film appreciation strengthens students' learning styles. Through motivation, analysis and aesthetics, the student elaborates concepts, searches for meanings at the audiovisual level and experiences aesthetic enjoyment. In addition, the fragments of films proposed by the teacher are integrated to their perception, allowing them to better understand the different topics programmed in a course. The main conclusion reached is that in any scenario where an action linked to learning is developed, film appreciation influences the student, provoking his enthusiasm to integrate new knowledge to his previous knowledge, encouraging him to live experiences that, while still having a playful spirit, provide him with a 'lesson' or awaken his interest in knowing and examining historical, political and cultural contexts
Protected probabilistic classification

This paper proposes a way of protecting probabilistic prediction models against changes in the data distribution, concentrating on the case of classification and paying particular attention to binary classification. This is important in applications of machine learning, where the quality of a trained prediction algorithm may drop significantly in the process of its exploitation. Our techniques are based on recent work on conformal test martingales and older work on prediction with expert advice, namely tracking the best expert.
Water-Traps System in Rainwater Management and Implementation of Lock-Brick Systems Technology to Improve the Quality of Household Life

East Indonesia, particularly in rural areas, is classified as underdeveloped. Numerous unhealthy dwellings with inadequate available water were discovered. Both of these issues contributed to a poor quality of life. Encouraged by this challenge, they devised a system-trap-rainwater engineering solution to supply water availability and lock-brick technology for a healthy dwelling. The objectives of this study include: rainwater management for household and agricultural water availability; water building infrastructure that is effective and easy to apply in the household, and the implementation of the lock-brick system as a building material for rainwater management infrastructure. The principle of water-traps system in rainwater management are set the rainfall water on household yard remained in the yard by install the system to trap rainwater, keep and manage to meet the water need for life. Wells-trap-rainwater and drain-trap-rainfall-water are interconnected as a network inflow to wells-trap-rainwater in this system. Water availability can be used to construct an agricultural-yard system that would promote food security. The lock-brick technology is designed to build a healthy house for itself at a reasonable cost. When digging wells, dugouts were used as a basic material for producing lock-brick. After assembling a sufficient amount of lock-brick to construct a house, the interlocking brick was assembled as a new healthy house. Both system-trap-rainwater engineering and lock-brick technology, it may be concluded, could increase people's quality of life.