Reviewerly/exHarmony huggingface dataset:
Training Streaming Factorization Machines with Alternating Least Squares

Factorization Machines (FM) have been widely applied in industrial applications for recommendations. Traditionally FM models are trained in batch mode, which entails training the model with large datasets every few hours or days. Such training procedure cannot capture the trends evolving in real time with large volume of streaming data. In this paper, we propose an online training scheme for FM with the alternating least squares (ALS) technique, which has comparable performance with existing batch training algorithms. We incorporate an online update mechanism to the model parameters at the cost of storing a small cache. The mechanism also stabilizes the training error more than a traditional online training technique like stochastic gradient descent (SGD) as data points come in, which is crucial for real-time applications. Experiments on large scale datasets validate the efficiency and robustness of our method.
Space optimization of concentrator photovoltaic systems based on levelized cost of electricity in solar power plant

Abstract Inappropriate layout design of concentrator photovoltaic (CPV) systems in the solar field will incur optical losses due to mutual shadowing among adjacent CPV systems. This will deteriorate the energy generation of a solar power plant (SPP). The trivial solution is to increase the separating distance between adjacent CPV systems. Unfortunately, it causes ineffectiveness in land usage and will be reflected to an increase in land-related costs. Therefore, optimization of layout design is an important procedure to determine the best trade-off between land usage and energy generation. The levelized cost of electricity (LCOE) of the SPP must be competitive to attract the interest of investors venturing into the solar energy business. A new computational algorithm has been proposed to optimized the field layout system of the CPV system by using the local weather data with the consideration of the shadowing effect. In this paper, a case study has been conducted in Kota Kinabalu, Malaysia to evaluate the performance of CPV systems in the SPP with different D/L ratios. The simulated results show that the optimized field layout for the CPV systems is at D/L ratio of 2.25, which accommodate the lowest value of LCOE.
Actual Situation for Capacity of Vocational Consultancy of Students in University of Education

This study describes the actual situation for capacity of vocational consultancy of students in university of education. The results of the study were carried out on 500 students of universities of education. The reality shows that the capacity of vocational consultancy of students in university of education is not high, only average. In the capacity of vocational consultancy of students evaluated in 6 capacity components including identification of issues related to the selection of pupils’ industry and career; support for pupils to improve their self-awareness and evaluation of psychological characteristics related to industry and career selections; support for pupils to improve their capacity to learn information and schools training the industry and career; support for pupils to improve their capacity to make decisions on the selection of industry, career and training schools; support for pupils to improve their capacity to plan and implement plans to strive for the target of the selected industry, career and school; support for pupils to solve psychological difficulties related to the selection of industry and career. In particular, the capacity component of support for pupils to improve their capacity to plan and implement plans to strive for the target of the selected industry and career is at the highest level, and the capacity of identification of issues related to the selection of pupils’ industry and career is at the lowest level.
A New Two-Level Clustering Approach for Situations Management in Distributed Smart Environments

In the field of smart environments, many devices and multimedia-oriented connected objects have gained a significant attention in recent years. There is a critical need to offer to users flexible and efficient service selection among a large set of candidates based on their surrounding environments, the user's current needs and situations. This article aims to provide a new Generic Context-aware Profile ONTOlogy (GCxPOnto) for a semantic description of heterogeneous profiles with a situations management facility related to smart environments. Based on the GCxPOnto ontology model, a two-layered architecture was proposed. It includes a local server with a sematic profile modeling and a central Cloud that provides efficient situation management and good scalability. This article is divided into three phases: profile clustering, situation management, and multimedia information dissemination related to smart services. The experimental results show a good response time and an enhanced situational accuracy.
In re Patentability of the Peltzer Inventions

The motion picture Gremlins (1984) stars Hoyt Wayne Axton (1938-1999) as Randall Peltzer, a prolific inventor with persistent cash-flow problems. Among other things, the motion picture discloses many of Peltzer’s inventions, including the “Bathroom Buddy,” the “Peltzer Smokeless Ashtray,” and the “Peltzer Pet.” This essay takes the form of an opinion letter evaluating the patentability of Peltzer’s inventions.
PDB54 TRENDS IN PRICES OF INSULIN MARKETED IN THE US

Diabetes mellitus is one of the most prevalent and costly chronic diseases in the United States (US). The high cost of insulin presents a financial challenge to patients and health care payers. This study assessed trends in injectable 100u insulin prices in the US in the period of 1980-January 15, 2019. Regulatory data for injectable 100u insulin marketed in the US during the study period derived from FDA databases; and average wholesale prices (AWP) from the RedBook (IBM Micromedex). Prices were converted to 2018 US$using the consumer price index (CPI) (Bureau of Labor Statistics). The compound annual growth rate (CAGR) for the CPI-adjusted AWP 30-days supply (DDD) was calculated from first AWP effective date to January 15, 2019 or the drug discontinuation date. There were 35 injectable 100u insulin, including 11 animal and 11 human source insulin, and 13 analogue insulin marketed in the US anytime during the period 1980- January 15, 2019. All animal source insulin was discontinued as of November 2000. CPI-adjusted median prices of human insulin at market entry increased from $180.11 in the 1980s to $233.20 in the 2000s. CPI-adjusted median prices of analog insulin at market entry increased from $359.58 in the 1990s, to $508.56 in the 2000s and $1,982.58 in the period 2010-2018. The median CPI-adjusted CARG for human insulin was 3.2% for insulin first marketed in the 1980s and 6.6% for those marketed in the 1990s. The median CPI-adjusted CARG for analog insulin was 7.5% for insulin first marketed in the 1990s, and 8.5% in the 1990s and 0.6% in the period 2010-2018. Prices of human insulin and analogues at market entry increased during the study period. CPI-adjusted prices of marketed insulin products also increased significantly after market entry.
Biblioteche accademiche, comunicazione scientifica e valutazione della ricerca: nuovi ruoli e sfide per i bibliotecari delle università

In recent years, several factors have been affecting the range of competencies which academic librarians should be able to offer in support of the composite mission of universities (research, education, third mission). The season of the integration and refinement of new generation tools for remote reference services and digital collection management in research libraries is not complete yet. Such process, however, has already set the stage for new roles and challenges for university librarians, in relation to what we would like to regard as “the ecosystem of scientific communication and research evaluation”. Actually, this happens in a scenario where the major international publishers are moving more quickly, and often more effectively for their business, than public institutions in implementing their own policies. The landscape appears quite mutable also because of the many initiatives for digital sharing of academic research, which, despite their markedly commercial features, are gaining easy success among scholars. As a result, on the one hand, the Open Access movement still struggles to fulfil the desired revolution in the practices of scientific communication: OA initiatives seem far from achieving the objective of full researchers’ independence from financial constraints in the exposure of their research outputs. On the other hand, the assessment procedures for measuring scientific research run by national agencies are increasingly dependent on the choices adopted by the main producers of citation databases. What are the possible ways out? Can the role of academic librarians be relevant? Some workable paths are suggested here. The first is to develop a service of customized advice to university’s authors, with an aim at helping them to optimize the qualitative and citation impact of their products beyond the publishing oligopolies. The second is to support the university’s governance in the creation of effective strategies and tools for OA, and the university press before all. The third relates to the technical maintenance of the institutional repositories, also by directly contributing to the improvement of the quality of information present in international citation databases.
A Semantic Annotation Scheme for Quantification

This paper describes in brief an annotation scheme called 'QuantML' which was proposed last December to the International Organisation for Standardisation (ISO) as a starting point for developing a standard for interoperable rooted in the theory of generalised quantifiers, neo-Davidsonian semantics, and DRT, covers a wide range of aspects of quantification.The scheme consists of (1) an abstract syntax which defines 'annotation structures' as triples and other set-theoretic constructs; (b) a compositional semantics of annotation structures; (3) an XML representation of annotation structures.
Take out what you can: quantitative analysis of the open question results from the National Student Survey

The main goal of this study was to investigate if a computational analyses of text data from the National Student Survey (NSS) can add value to the existing, manual analysis. The results showed the computational analysis of the texts from the open questions of the NSS contain information which enriches the results of standard quantitative analysis of the NSS.
Exploring the Applicability of Regression Discontinuity in the Fields of Public Administration and Public Policy

본 논문에서는 행정학 및 정책학에서 인과적 추론을 이용한 연구가 보다 활성화되기를 촉진하고자, 인과효과를 추정하는 데 있어서 비실험적 상황의 관측 자료를 사용함에도 자연실험으로서 무작위배정실험과 가까운 효과를 가져올 수 있는 회귀단절 설계 방법을 소개하고자 한다. 구체적으로 회귀단절 설계의 기본 원리와 필요한 가정들과 식별전략을 살펴보고, 회귀모형을 이용한 모형화의 방법들을 소개하며, 회귀단절 설계의 종류로서 계단형 회귀단절과 경사형 회귀 단절을 비교하고자 한다. 아울러 한국 행정학 및 정책학 영역에서 회귀단절 설계가 많은 장점에도 불구하고 매우 드물게 사용되고 있음을 보이며, 앞으로 회귀단절 설계를 사용하여 연구를 진행할 연구자들을 위하여 반드시 확인해보아야 할 사항 또는 쟁점들의 체크 리스트를 제시한다.This paper aims to introduce a regression discontinuity design (RDD) in order to prompt causal inference studies in the fields of public administration and public policy. RDD recently gains popularity in social science as a natural experiment that is useful for causal inference, in that it estimates an non-experimental but as-if-random effect that would be close to any experimental effect derived from a randomized controlled trial (RCT). The paper sections explain the basic principles, necessary assumptions, identification strategies, and the modeling methods in RDD, in addition to the comparison of sharp and fuzzy RDD types. At the end, the authors show the current underutilization of RDD in the public administration and public policy fields in Korea, and they provide an issue checklist that would be useful for those who want to apply RDD to their studies.
#BiggBoss—Long-Run Event Detection and Sentiment Mining in Twitter

Online social media like Twitter and Facebook provides a common platform for presenting views and opinions of an individual on various events. This research work aims at detecting peak events that occur in online social networks using the proposed approach of exponential moving average algorithm and peak recognition method. A two-level hybrid sentiment analysis using n-grams and Naïve Bayes classifiers is performed on tweets to ensure the true sentiment of the user. The analysis was based on bag-of-words model and Bill McDonald’s list for positive and negative words. The tweets were streamed for #BiggBoss and stored in sequential bins. The potential event was detected on the final day of result announcement by peak recognition method. The Naïve Bayes classifier predicted tweets with accuracy of 89% which would further aid in event summarization and eliminate event-related rumors.
Web Based Tool for Measuring Coupling in Object-Oriented Software Modules

Coupling measurement in object-oriented software is becoming an important area day by day from the software quality evaluation point of view.Coupling is an interdependence relationship between classes (modules) of object-oriented software.The coupling measurement helps to maintain dependency degree between modules of object-oriented software.The moderate coupling values result in quality software.Ultimately quality software retains moderate range of values of software quality attributes such as complexity, efficiency, reusability, maintainability, understandability, flexibility, portability, interoperability, etc.This paper proposes a web based tool for measuring coupling in object-oriented Java software.The idea of a web based tool is to deploy a software coupling tool on intranet or cloud to give access to the prescribed users.The tool can be used online to compute coupling and the resulting data of the tool can be sent/received via the public network.The detailed architecture and components of the tool are described in the paper.The tool is most secured for input processing.The Java and Android projects are evaluated using the tool, the coupling values of Java and Android projects are compared in the results and discussion section of the paper.The Advantages of using the web based tool are also described in the paper.Seven coupling metrics are used from the literature to compute their values using web based tool proposed in this paper.Percentage coupling values of seven coupling metrics are computed for Java and Android projects.The percentage range of coupling values computed in the paper using web based tool is compared with standard range of coupling values described in the literature.The results obtained using web based tool gives us coupling values of Java and Android projects.The coupling values obtained using web based tool proposed in the paper are compared with standard coupling values described in the literature.It is found that the values obtained using the web based tool, are within the standard range of coupling values described in the literature.It means the web based tool proposed in this paper calculates correct coupling values of any object-oriented Java code.
Novel Methods for Image Description

This chapter presents new methods for continuous edge detection and description. Standard edge detection algorithms confronted with the human perception of reality are rather primitive because they are based only on the information stored in the form of pixels. Humans can see elements of the images that do not exist in them. These mechanisms allow humans to extract and track objects partially obscured.
Penggunaan Metode Kooperatif Tipe STAD untuk Meningkatkan Hasil Belajar Indonesia Siswa Kelas V SD Negeri 008 Pulau Lancang

In the teaching and learning process the teacher plays an important role, the teacher must be able to choose the appropriate method. This study aimed to determine the improvement of Indonesian language learning outcomes in the subject matter of folklore offifth grade students at SD Negeri 008 Pulau Lancang. The study was conducted by using the STAD type cooperative method, which each cycle consists of four stages of planning, implementation, observation, and reflection. The subject of this research was fifth grade students. The results of the study using the STAD type cooperative method in learning Indonesian showed the involvement and activeness of students. Learning outcomes that obtained by students also increase in Cycle 1 and Cycle 2. From the data collection obtained learning outcomes in learning in cycle 1 was 73% of students completed learning, while cycle 2 learning outcomes became 100% students completed learning. Based on the results of the study, it can be concluded that the use of the STAD type cooperative method can improve the learning outcomes of fifth grade students of 008 at SD Negeri 008 Pulau Lancang on Indonesian subjects.
Individual Differences in Effects of Muscular Endurance Training under Hyperoxic Condition

Hyperoxic condition causes an acute enhancement of dynamic muscular endurance. We hypothesized that muscular endurance training under hyperoxic condition increases training volume, thereby results in larger improvement in muscular endurance as compared to training under normoxic condition. We also hypothesized that there would be considerable individual differences in the effects of the training under hyperoxia, because our previous studies have shown individual differences in the acute effects of hyperoxia. PURPOSE: To investigate the effects of muscular endurance training under hyperoxic condition and individual differences in the effects. METHODS: Fifteen healthy young men were assigned to two groups: one group conducted muscular endurance training under hyperoxic condition (30.0%O2; HOX group, n=7) and the other group conducted the same training under normoxic condition (20.9%O2; NOX group, n=8). They performed one set of one-hand preacher curl at an intensity of 30%1RM until exhaustion, three times per week for six weeks. The number of repetition until exhaustion was recorded every training and summed up every six sessions (1st and 2nd weeks, 3rd and 4th weeks, and 5th and 6th weeks) to estimate training volume. Before and after the training period, maximal number of repetition (Rmax) was measured under both HOX and NOX conditions. RESULTS: Rmax under NOX condition (Rmax_NOX) significantly increased after 6-week training in both HOX and NOX groups (P < 0.01). Increasing ratio of Rmax_NOX (Rmax_NOX after training / Rmax_NOX before training) was 683.3 ± 683.9% in HOX group and 171.2 ± 123.0% in NOX group. There was a significant correlation between the increase in Rmax_NOX after the training and the difference between Rmax under HOX and Rmax under NOX measured before the training (acute effect of hyperoxia; r = 0.872, P = 0.010). Four subjects in the HOX group who showed large (more than 150%) increases in Rmax_NOX after the training performed larger training volume than NOX group during 5th and 6th weeks of training period (P = 0.009). CONCLUSIONS: These results indicated a large individual difference in the effects of muscular endurance training under hyperoxic condition. The difference may be related to the acute effect of hyperoxia on the training volume at the late stage of training period.
Developing TAMEx Model For Availability Aspect of E-Exam Security in WLAN Environment

The internet has provided tremendous impact in educational development throughout the world. E-Exam system is one of educational component which has been used increasing dramatically for evaluating educational process. As an e-exam feature, uniformity of system access and time duration of the exam to all examinees is very important to be considered. Exam manager usually utilizes a fixed network to connect all e-exam terminal in order to maintain service stability on e-exam systems. However, the use of a fixed network will be difficult to be implemented if the number of examines is large. There are not many Education institutions have adequate ICT infrastructure or e-exam terminals for all students. Most institutions develop WLAN networks as an alternative to being able to provide ICT services to all students. With the development of mobile device technology (Handphone or Laptop) that strongly supports the learning process through mobile devices. This research aims to develop application of the Time Adaptive for Mobile E-Exam (TAMEx) Model. It serves to maintain the reliability of e-exam implementation on WLAN networks. The possible connection disruptions is anticipate by seeking time compensation only to participants who has experienced the connection problem. The time compensation must be accordance to the duration of the occurrence of connection loss. Application development has been carried out and is functioning properly. The report of application shows that it has succeeded in identifying the connection disturbance duration and provide time compensation to the proper examinee.
A Comparative Analysis of English Abstracts and Summaries of Chinese Research Articles in Three Library and Information Science Journals Indexed by the Taiwan Social Science Citation Index

English summary is a unique research genre that emerged in response to foreign scholars’ needs for Taiwanese scholarship. It was developed as a solution to the problems caused by the inadequacy of English abstracts and the difficulties in translating full Chinese journal articles into English. Informative English summaries help Chinese journals to be used and indexed by foreign databases and citation indexes. However, different authors write in different ways. The structure and composition of English summaries remains unknown. To enhance our understanding of what have been presented to foreign readers, this study explored the structural and compositional differences between English abstracts and summaries. Abstracts and summaries of Chinese research articles published in three TSSCI-indexed library and information science journals in 2016 and 2017 were content analyzed. The results indicate English abstracts and summaries shared the same focus on reporting authors’ research. The IMRD structure was decomposed, combined, and reorganized when authors wrote English summaries. Authors reported their research in relatively diverse ways in summaries than in abstracts.Keywords: Genre Analysis; English Abstracts; English Summaries; Extended Abstracts; Scholarly Communication
Recycled Glasses Connect Eclipse Watchers Across the Equator

Instead of throwing them in the trash, millions donated their slightly used eclipse glasses so that others around the world could share the experience.
Optimizing Cross Domain Sentiment Analysis Using Hidden Markov Continual Progression

With the rapid increase in internet users and customer reviews playing major role in social media gave rise to sentiment analysis. Pre-processing of input text during sentiment analysis eliminates incomplete and noisy data. Typically, sentiment is manifested separately and applying pre-processing model for optimizing cross-domain sentiment classification is highly required. In this paper, a method called Hidden Markov Continual Progression Cosine Similar (HM-CPCS) is proposed to explore the impact of pre-processing and optimize sentiment analysis. First, a measure of subsequent and antecedent probabilities of tags is made using HM-POS Tagger for the given input dataset. Subsequent and antecedent probabilities of tags are obtained by measuring the transition probabilities between states and observations ensuring feature extraction accuracy. Next, the Continual Progression Stemmer continuously stems the text by adding prefix and suffix to form structured words for the given shortcuts and therefore reduce Error Rate Relative to Truncation (ERRT). Finally a Cosine Similarity function is applied to remove stop word for cross-domain sentiment analysis and classification. Experimental analysis shows that HM-CPCS method is able to reduce the time to extract the opinions from reviewers by 46% and improve the accuracy by 9% compared to the state-of-the-art works.