Reviewerly/exHarmony huggingface dataset:
Context-aware Ensemble of Multifaceted Factorization Models for Recommendation Prediction in Social Networks

This paper describes the solution of Shanda Innovations team to Task 1 of KDD-Cup 2012. A novel approach called Multifaceted Factorization Models is proposed to incorporate a great variety of features in social networks. Social relationships and actions between users are integrated as implicit feedbacks to improve the recommendation accuracy. Keywords, tags, profiles, time and some other features are also utilized for modeling user interests. In addition, user behaviors are modeled from the durations of recommendation records. A context-aware ensemble framework is then applied to combine multiple predictors and produce final recommendation results. The proposed approach obtained 0.43959 (public score) / 0.41874 (private score) on the testing dataset, which achieved the 2nd place in the KDD-Cup competition.
Implementation Strategy of Bringing Smart Mobility into Reality

&lt;p&gt;High urban vehicle growth rate results in high traffic jam rate and makes the portrait of urban transportation dull. It is a challenge and an opportunity all at once to provide smart mobility system. Smart mobility is a mobility system enabling the arrival at destination through less mobility, move freely, and less travel time. This study aims to find out the implementation strategy in bringing Smart Mobility into Reality. The strategies used were firstly, diversification strategy, the synchronization and cooperation with Central and Provincial governments. Secondly, it is aggressive strategy involving the strategy of applying E-Gov through IT Development, strategy of reinforcing the integration between Transportation modes and strategy of developing Office Strategy Plan referring to Master plan of Smart City. The method employed was qualitative one. Techniques of collecting data used were FGD and data documentation, while data analysis was carried out using A Procedure for Data Analysis. The result of research showed that there is a diversification strategy including providing smart public transportation (BST and feeder) and agglomeration transportation (TransJateng). Meanwhile, aggressive strategy includes 1) the strategy of intensifying the application of e-Gov through and developing IT of public transportation in “buy the service” scheme using TEMAN bus application, 2) strategy of reinforcing integration between Transportation modes in the form of improving accessibility of public transportation (BST) with feeder and agglomeration transportation (TransJateng), and 3) improving smart mobility by improving service quality and accessibility of public transportation.&lt;/p&gt;
Learning Actor-centered Representations for Action Localization in Streaming Videos using Predictive Learning.

Event perception tasks such as recognizing and localizing actions in streaming videos are essential for tackling visual understanding tasks. Progress has primarily been driven by the use of large-scale, annotated training data in a supervised manner. In this work, we tackle the problem of learning \textit{actor-centered} representations through the notion of continual hierarchical predictive learning to localize actions in streaming videos without any training annotations. Inspired by cognitive theories of event perception, we propose a novel, self-supervised framework driven by the notion of hierarchical predictive learning to construct actor-centered features by attention-based contextualization. Extensive experiments on three benchmark datasets show that the approach can learn robust representations for localizing actions using only one epoch of training, i.e., we train the model continually in streaming fashion - one frame at a time, with a single pass through training videos. We show that the proposed approach outperforms unsupervised and weakly supervised baselines while offering competitive performance to fully supervised approaches. Finally, we show that the proposed model can generalize to out-of-domain data without significant loss in performance without any finetuning for both the recognition and localization tasks.
Peningkatan Hasil Belajar Peserta Didik Melalui Pembelajaran Kooperatif Model BBM Materi Animalia pada Kelas X.7 di SMA N 1 Sumber

Abstract. The background of this research is the students’ of the Class X.7 learning result at low criteria. The problem statement is about how to increase the students’ of the Class X.7learning result. The purpose of this research is to increase the students’ of the Class X.7 of 1 Sumber Senior High School on Biology learning result about Animalia. The action to increase the learning result is using the BBM model (Bamboo Dancing). The result of this research showed that the average of learning result before applying the BBM model is 71,88, increased in the end of the Second Cycle on 83,29, that mean the increasing is 11,41. The completeness of learning result before applying the BBM model is 58,82%, increased in the end of the Second Cycle at 82,35%, that mean the increasing is 23,53%. On the First Cycle, the indicator of success is not reached at 80%, but on the Second Cycle increased and reached beyond of the indicator of success. According to the result of this research, the conclusion is the applying of the BBM model about Animalia is increasing the students’ of the Class X.7 of 1 Sumber Senior High School learning result on the Second Semester of the 2016/2017 Year Academic.
The Future Sale of Premier League Broadcasting Rights

The Premier League is the most important national competition, of the most popular sport in the world, in the country where the rules of this sport were first codified: England. The interest generated for this competition has meant that over time, more precisely in the last 30 years, with the emergence of the concept of pay-per-view transmissions, this competition has acquired a completely different global importance. Therefore, the revenues from the television rights obtained by this competition are the highest of all football championships. In an increasingly digitalized world, the question arises as to how the revenues from television rights obtained by the Premier League can be increased. The purpose of this article is to anticipate how the sale of TV rights will evolve globally.
평가어(appraisal system)를 활용한 초등 사회과 교과서 서술 분석 - 대몽항쟁을 중심으로 -

Textbooks still serve as important teaching materials. It emphasizes that the interpretation of recent history varies depending on the viewpoint, and speaks of changes in textbooks as an inquiry textbook, but still conveys a single voice. The textbook author describes the interpretation of history to appear as an objective fact.In order to preserve the direction of history education that emphasizes the recent controversial nature, textbook descriptions must be changed. To understand the controversial nature of history, students must first grasp history interpretation. Students should assess what the author''s purpose or intent is to understand that textbooks are not an absolute repository of knowledge.For this, appraisal system can be used. By using the appraisal system well, it is possible to find out what major narratives are presented by textbook authors. This tells us which actors disappear from the textbook description and which ones are chosen. In addition, it helps to understand not only the intention of the author but also the actions of past actors microscopically and to understand the relationship between actors.This study explores the possibility of providing students with the experience of critically dismantling textbooks. If students can critically look at textbooks after training to dismantle textbooks using appraisal system, this can also be one of the ways to explore history.
Viabilizando a Melhoria do Atendimento Médico Emergencial a Partir da Proposta de Um Aplicativo de Solicitação de Atendimento Médico Remoto

Medical care provided by mobile units can take a long time to reachthe requested location, either due to difficulty in accessing the location,speed of traffic or even the lack of available ambulances. Inorder for more people to be treated faster and effectively, whetherits an emergency or not, this paper presents a proposal of a systemthat requests remote assistance and sends the needed materials. Topropose requirements and build the system’s graphical interface,benchmarking and focus group techniques were used. The proposedhigh-fidelity prototype indicates how the system will allowremote care to be requested through a communication interfacewith Mobile Emergency Service (SAMU) and the Fire Department,which will request the sending of a drone with a first aid kit. Inaddition, the system will allow you to specify the service to beperformed and will assist in its execution remotely
Machine Learning for Dissimulating Reality

In the last decade, advances in statistical modeling and computer science have boosted the production of machine-produced contents in different fields: from language to image generation, the quality of the generated outputs is remarkably high, sometimes better than those produced by a human being. Modern technological advances such as OpenAI’s GPT-2 (and recently GPT-3) permit automated systems to dramatically alter reality with synthetic outputs so that humans are not able to distinguish the real copy from its counteracts. An example is given by an article entirely written by GPT-2, but many other examples exist. In the field of computer vision, Nvidia’s Generative Adversarial Network, commonly known as StyleGAN (Karras et al. 2018), has become the de facto reference point for the production of a huge amount of fake human face portraits; additionally, recent algorithms were developed to create both musical scores and mathematical formulas. This presentation aims to stimulate participants on the state-of-the-art results in this field: we will cover both GANs and language modeling with recent applications. The novelty here is that we apply a transformer-based machine learning technique, namely RoBerta (Liu et al. 2019), to the detection of human-produced versus machine-produced text concerning fake news detection. RoBerta is a recent algorithm that is based on the well-known Bidirectional Encoder Representations from Transformers algorithm, known as BERT (Devlin et al. 2018); this is a bi-directional transformer used for natural language processing developed by Google and pre-trained over a huge amount of unlabeled textual data to learn embeddings. We will then use these representations as an input of our classifier to detect real vs. machine-produced text. The application is demonstrated in the presentation.
Establishment of Parallel Text Corpus of Equipment Manufacturing Industry Based on Data Mining Technology

Abstract In the era of language big data, traditional data analysis methods can’t analyze semi-structured or unstructured data such as text, but all the contents in the equipment manufacturing corpus belong to text data. The equipment manufacturing corpus is a linguistic information base for legal activities and equipment manufacturing research, which aims to study equipment manufacturing and collect equipment manufacturing cases. At present, the construction of legal database in China is not perfect, and there are still many problems. In this paper, a method based on template transformation is proposed to automatically acquire parallel corpus on the Internet, and a method based on the number of transformation patterns and the retrieval and sorting of transformation patterns is adopted to verify bilingual parallel texts. This system can build a large-scale parallel corpus of equipment manufacturing industry by automatically acquiring a large number of parallel texts from the Internet.
Sistem Billboard Digital Cerdas Menggunakan Metode Jaringan Syaraf Tiruan dengan Orientasi Pendeteksi Jarak dan Usia

The development of technology in an increasingly sophisticated industrial era is evidenced by the presence of modern equipment produced to speed up and simplify a job. In Advertising currently has no filtering about the age of its readers. Based on this background this study built a system for billboard display (advertising) based on age. For the method used using the method of artificial neural networks. For testing the tool uses distance parameters based on objects that are indexed with two categories namely adults and children. For the test results using 4 objects of people with a distance of 1 meter to 5 meters per object obtained the results detected each adult and small children distanced 1 meter to 3 meters in a distance of 4 meters to 5 meters undetected with an accuracy of 80%.
Machine Learning Techniques for Software Quality Assurance: A Survey

Over the last years, machine learning techniques have been applied to more and more application domains, including software engineering and, especially, software quality assurance. Important application domains have been, e.g., software defect prediction or test case selection and prioritization. The ability to predict which components in a large software system are most likely to contain the largest numbers of faults in the next release helps to better manage projects, including early estimation of possible release delays, and affordably guide corrective actions to improve the quality of the software. However, developing robust fault prediction models is a challenging task and many techniques have been proposed in the literature. Closely related to estimating defect-prone parts of a software system is the question of how to select and prioritize test cases, and indeed test case prioritization has been extensively researched as a means for reducing the time taken to discover regressions in software. In this survey, we discuss various approaches in both fault prediction and test case prioritization, also explaining how in recent studies deep learning algorithms for fault prediction help to bridge the gap between programs' semantics and fault prediction features. We also review recently proposed machine learning methods for test case prioritization (TCP), and their ability to reduce the cost of regression testing without negatively affecting fault detection capabilities.
ДАВЛАТ ХИЗМАТЧИЛАРИДА КОРРУПЦИЯГА ҚАРШИ МУРОСАСИЗЛИК ҲУЛҚ-АТВОРНИ ШАКЛЛАНТИРИШГА КОМПЛЕКС ЁНДОШУВ

The article analyzes the views and opinions expressed by researchers on the formation of anti-corruption behavior in the servants of the state, as well as practical measures to improve the professional training of specialists in this area. The role of professors and students in the organization of training courses aimed at the formation of anti-corruption behavior in the servants of the state, their responsibilities and the specifics of the organization of such training were studied and suggestions and recommendations for the introduction of interactive pedagogical technologies in education.
Measurement of Unsupported Applications used in Indonesia Popular Websites

A security vulnerability exists in unsupported systems, and using applications supported by their maintainer help to reduce attacks based on such vulnerabilities. However, website administrators may ignore this exercise due to various reasons. This research measures the top 1,500 websites in Indonesia on how much of them are using supported applications to prevent such attacks, based on the application version number. The measurement is performed automatically using the Wappalyzer tool. From such measurement, we found that most of the applications detected do not contain version information (70%) or invalid version number (11%). We also found that more than half of the websites measured contain at least one unsupported application. In terms of the applications used, we found that many Nginx users worryingly do not keep their server version updated, while Apache and WordPress did a good job in keeping their users using the most recent version. This study highlights the need for website administrators to have their applications up to date to the supported versions, as well as for application developers to promote application updates to their users.
Design and Implementation of Key Exchange Mechanisms for Software Artifacts using Ocean Protocol.

During the modern times, innovators and researchers developed a key technology known as Artificial Intelligence (AI) Marketplace which leverages the power of AI to efficiently utilize the data gene ...
A Research Regarding ‘X’ via DP Generation Mechanism in ‘向/往/到+X’

This study analyzed the DP generation mechanism regarding ‘X’ from a generative grammar point of view, after categorial features of ‘X’ in structures which consist of ‘direction(向/往/到)+X’ were classified into [-V] and [+V]. First, phrases related with ‘De(的)’ has been separated into three types as the DP(Determiner Phrase) with referentiality, the DeP(‘的’-particle Phrase) with modifier function, the NominalP(Nominalization Phrase) to nominalize properties of verbs or adjectives for the DP derivation of [±V]. As for conclusions analyzed, it suggests the results summary in order of the categorial features of ‘X’, the derivation of a DP in [-V] and the derivation of a DP in [+V] below. The categorial features of ‘X’ is summarized as follows. The figure is expressed as a percentage according to being placed before(B) and after(A) the predicate within structure in order of ‘向+X’, ‘往+X’ and ‘到+X’. In case of ‘向 +X’, 92.5%(B) and 93.5%(A) in [-V], 7.5%(B) and 6.5%(A) in [+V] ; in case of ‘往+X’, 84.5%(B) and 100%(A) in [-V], 15.5%(B) and 0%(A) in [+V] ; in case of ‘到+X’, 99.5%(B) and 89.5%(A) in [-V], 0.5%(B) and 10.5%(A) in [+V]. The derivation of a DP in [-V] is summarized as follows. One is that the explicit referential DP includes personal pronoun, only a few of time unit words, a demonstrative pronoun, ‘referential determiner +‘De(的)’+noun’ and so on. They are directly assigned to a ‘D(head)’ from the lexicon and then projected onto the DP. The other is that the implicit referential DP includes bare nouns(proper and common nouns), ‘NumP+ClP+NP’ and phrases by ‘yi(一)’. Bare nouns are projected onto the DP by the head movement principle from a N to a D. The rest can be projected onto the DP by a null determiner because of the head movement constraint. The derivation of a DP in [+V] is summarized as follows. The maximal projection of [+V] can be regarded as the implicit referential DP. NominalP to nominalize properties of verbs or adjectives is projected onto the DP by head movement from a Nominal to a D. AP/VP, AP/VP+(了/裏/處), VdP and CP are constituents to be projected as DeP which modifies null(empty) nouns phonologically. The derivation of a DP related with them is derived by a null determiner. Because the DeP is located in a specifier of a NP, it can not be raised to a D by head movement principle. Furthermore, the movement of a N causes contradiction between surface structures and deep structures. This studied with regard to the DP generation mechanism regarding ‘X’ and then showed only some opinions, this will be willing to do its best to make a progress of a better research continuously.
Approaches of Teaching to Read

That's because everything from vocabulary growth to performance across all major subjects at school is linked to reading ability. The Phonics Method teaches children to pair sounds with letters and blend them together to master the skill of decoding.nnn
HUBUNGAN STATUS GIZI DAN IQ TERHADAP PRESTASI BELAJAR SISWA-SISWI KELAS I SD PEMBANGUNAN JAYA BINTARO TAHUN AJARAN 2010-2011

Until now, Indonesia still has many cases of malnutrition, inspecific lack of nutrient. The problem would effect the growth and development of children. Malnourished children would have lower brain mass, number of mass, number of cell, cell size, and lower biochemichal compound mass. These would distrub the development of the brain and the IQ, which inturn, would affect the child’s performance in school. This research use cross sectional method. The research population was 111 students. The sample taken was 86 students, this number was determined using the krejcie table. The sample method used was the simple random sampling. The research data was a primary data obtained by measuring the height and body weight of the students and secondary data from the IQ test result, result of their first semester report academic year of 2010-2011. The Fisher Exact test showed that there was a correlation between the height of the student and study achievement (p=0,010). There is no relationship between nutrient status weight and study achievement (p= 0,155). There is no relationship between nutrient status body mass index and study achievement (p=0,409). There was also evidence that the IQ of the child affects their study achievement (p =0,001). Measurement of height per age depict the past of nutrition that can affect the results of intelligence and academic achievement. While the measurement of body weight per age and body mass index per age describe the current nutritional status does not affect intelligence and academic achievement. IQ affects learning achievement because IQ is one of the factors that determine success in learning.
"Play Music": User Motivations and Expectations for Non-specific Voice Queries

The growing market of voice-enabled devices introduces new types of music search requests that can be more ambiguous than in typed search interfaces as voice assistants can potentially support conversational requests. However, these systems may not be able to fulfill ambiguous requests in a manner that matches the user need. In this work, we study an example of ambiguous requests which we term as non-specific queries (NSQs), such as play music, where users ask to stream content using a single utterance that does not specify what content they want to hear. To better understand user motivations for making NSQs, we conducted semi-structured qualitative interviews with voice users. We observed four themes that structure user perceptions of the benefits and shortcomings of making NSQs: the tradeoff between control and convenience, varying expectations for personalization, the effects of context on expectations, and learned user behaviors. We conclude with implications for how these themes can inform the interaction design of voice search systems in handling non-specific music requests in voice search systems.
Operating Room (Re)Scheduling with Bed Management via ASP

The Operating Room Scheduling (ORS) problem is the task of assigning patients to operating rooms, taking into account different specialties, lengths and priority scores of each planned surgery, operating room session durations, and the availability of beds for the entire length of stay both in the Intensive Care Unit and in the wards. A proper solution to the ORS problem is of primary importance for the healthcare service quality and the satisfaction of patients in hospital environments. In this paper we first present a solution to the problem based on Answer Set Programming (ASP). The solution is tested on benchmarks with realistic sizes and parameters, on three scenarios for the target length on 5-day scheduling, common in small-medium sized hospitals, and results show that ASP is a suitable solving methodology for the ORS problem in such setting. Then, we also performed a scalability analysis on the schedule length up to 15 days, which still shows the suitability of our solution also on longer plan horizons. Moreover, we also present an ASP solution for the rescheduling problem, i.e. when the off-line schedule cannot be completed for some reason. Finally, we introduce a web framework for managing ORS problems via ASP that allows a user to insert the main parameters of the problem, solve a specific instance, and show results graphically in real-time. Under consideration in Theory and Practice of Logic Programming (TPLP).