bluuebunny/crossref_metadata_2025 huggingface dataset:
Pembubaran Perseroan Terbatas oleh Kejaksaan Sebagai Upaya Memperkuat Ketahanan Nasional
Authors: Prayoga Andhika , Rofii Muhammad Sya’roni
Published: June 2020

The purpose of this writing is to find out the authority of the prosecutor's office in submitting a request to dissolve a PT in a district court based on the provisions of a Indonesia company law, and  its relationship in strengthening national resilience. Furthermore, to examine and analyze this research is by normative legal research by emphasizing discussion on legal-formal (normative) rules and regulations. The data used in this study consisted of primary legal materials including legislation, secondary legal materials such as books and literature and tertiary legal materials obtained through library research. The result of the research is that authority to act as a petitioner for dissolution with the reason if there is a single share ownership (corporate sole) and/or  violation of public interest or the law, in the framework of the executive function to uphold the law in society, and that authority is a form of upholding the authority of the government and reflects legal certainty so that it gives effect to the strengthening of national resilience.
“Socially Disruptive Actions … Have Become as Canadian as Maple Syrup”: Civil Disobedience in Canada, 1960–2012
Authors: Fleming Keith
Published: June 2020

Civil disobedience has deep roots in Canadian history. Focusing on the period from 1960 until Quebec’s “Maple Spring” protests of 2012, this article examines the practice of civil disobedience by a diversity of dissenting individuals and groups in Canada. Considered collectively, the examples of peace, anti-nuclear, and civil rights protests; defence of English-language minority rights in Quebec; corporate resistance to Sunday shopping restrictions in Ontario; pro- and anti-abortion advocacy; and the often overlapping activism of Indigenous and environmentalist groups illustrate how civil disobedience endeavoured to influence, whether by conversion or coercion, public opinion on some of Canadian society’s most complex and divisive issues. In defining civil disobedience, the article emphasizes that non-violence is an essential descriptor. Some observers continued to express concerns well into the 1990s that growing instances of civil disobedience did not bode well for Canadian social order and the rule of law. But as civil disobedience became increasingly normalized, particularly following the introduction of the Canadian Charter of Rights and Freedoms in 1982, and widespread social disorder did not ensue, non-violent civil disobedience aligned with a national political culture commonly associated with deference and compromise. Civil disobedience had become “as Canadian as maple syrup.”
A Survey to Establish the Extent of Flipped Classroom Use Prior to Clinical Skills Laboratory Teaching and Determine Potential Benefits, Challenges, and Possibilities
Authors: Londgren Molly Frendo , Baillie Sarah , Roberts Jennifer N. , Sonea Ioana M.
Published: June 2020

The flipped classroom is a technique that involves a reordering of classroom and at-home activities. Content provided prior to classroom interactions is used to prepare students for face-to-face classes. The flipped classroom has been shown to benefit students, including improving examination results, and there is increasing interest in using it in veterinary education. The current study aimed to investigate the potential of the flipped classroom approach to preparing students for practicals in a clinical skills laboratory. An online survey was distributed to the international veterinary clinical skills community to determine the extent to which a flipped classroom is used prior to teaching in a clinical skills laboratory and how educators viewed the benefits, challenges, and possibilities. There were 101 survey participants representing 22 countries, and all were involved in clinical skills teaching; 42 were using flipped classroom techniques prior to teaching in a clinical skills laboratory, and 55 others would consider using the technique in this context in the future. Videos were the most common resource used. The main benefits, experienced or anticipated, were positive changes in student behavior, including preparation and better use of time during practicals by both the students and instructors. The main challenges were the time needed for instructors to develop the materials, lack of student engagement with the flipped classroom, space in the curriculum, and institutional issues. In conclusion, many potential benefits could be realized with a flipped classroom approach embedded prior to clinical skills laboratory practicals.
Tvorcheskie umeniia starsheklassnikov v uchebno-issledovatel'skoi deiatel'nosti
Authors: Khalatian Kristina Arsenovna
Published: June 2020

On the basis of psycho-pedagogical literature analysis the concept of “high school pupils’ creative abilities” is concretized, its types and structure are defined; the analysis of the concept of “educational and research activity” is presented; the introduction of educational and research activities in high school age is substantiated; the role of this activity of students in the acquisition of scientific knowledge and the possibility of their creative application is revealed; the pupils’ creative abilities being formed in educational and research activity and providing its effective performance are pointed out.
Application of Remote Educational Technologies in Studying Fundamental Discipline
Authors: Ustimenko Oksana Anatolevna
Published: June 2020

The article is devoted to the study of the basic disciplines that are compulsory for choice in a medical university in a remote format, being an integral part of extracurricular independent work. A functional model of distance educational technology for the study of the discipline “Clinical Anatomy (modern three-dimensional technology)”, based on the principles of distance learning.
The effects of teaching strategies, methods and techniques on creative thinking: A meta-analysis study
Authors: GÜRKAN Burcu , DOLAPÇIOĞLU Sevda
Published: June 2020

This study aims to unify the effect size of experimental studies that were carried out to determine the effect of teaching strategies, methods and techniques on creative thinking skills, and to find out whether this effect size was of significant differences for certain variables. A meta-analysis of 19 studies investigating the effect of teaching strategies, methods and techniques published between 2005-2019 on students' creative thinking skills was conducted. The study results revealed that teaching possessed a moderate effect on students’ creative thinking skills varying considerably based on the grades the study group and the discipline dealt with in the study yet no meaningful difference in terms of the country it was carried at and no experimental effect for the applied teaching strategies, methods and techniques.
Deep prediction of investor interest: A supervised clustering approach
Authors: Barreau Baptiste , Carlier Laurent , Challet Damien
Published: June 2020

We propose a novel deep learning architecture suitable for the prediction of investor interest for a given asset in a given time frame. This architecture performs both investor clustering and modelling at the same time. We first verify its superior performance on a synthetic scenario inspired by real data and then apply it to two real-world databases, a publicly available dataset about the position of investors in Spanish stock market and proprietary data from BNP Paribas Corporate and Institutional Banking. 1 , 2
Genomic Biomarkers and Underlying Mechanism of Benefit from BCG Immunotherapy in Non-Muscle Invasive Bladder Cancer
Authors: Bastos Diogo A. , Mattedi Romulo L. , Barreiro Rodrigo , dos Santos Filipe F. , Buzatto Vanessa , Masotti Cibele , Souza Jussara M. , de Lima Mariana Z. T. , Friguglietti Giulia W. , Dzik Carlos , Jardim Denis L. F. , Coelho Rafael , Ribeiro Filho Leopoldo A. , Cordeiro Maurício D. , Nahas William C. , de Mello Evandro S. , Chammas Roger , Reis Luiz Fernando L. , Bettoni Fabiana , Galante Pedro A. F. , Camargo Anamaria A.
Published: June 2020

BACKGROUND:

Optimal therapy for high-risk non-muscle invasive bladder cancer (NMIBC) includes intravesical instillation of Bacillus Calmette-Guérin (BCG). However, about 25-45% of patients do not benefit from BCG immunotherapy, and there is no biomarker to guide therapy. Also, many questions regarding BCG mechanisms of action remain unanswered.

OBJECTIVE:

To identify genomic biomarkers and characterize the underlying mechanism of benefit from BCG in NMIBC.

PATIENTS AND METHODS:

Pre-treatment archival index-tumors of 35 patients with NMIBC treated with BCG were analyzed by whole-exome sequencing (WES). Tumor mutation burden (TMB) and neoantigen load (NAL) were correlated with BCG response rate (RR) and recurrence-free survival (RFS). The presence of deleterious mutations in DNA damage response (DDR) genes was also compared between BCG-responsive (BCG-R, N = 17) and unresponsive (BCG-UR, N = 18) subgroups.

RESULTS:

TMB and NAL were higher in BCG-R compared to BCG-UR patients (median TMB 4.9 vs. 2.8 mutations/Mb, P = 0.017 and median NAL 100 vs. 65 neoantigens, P = 0.032). Improved RR and RFS were observed in patients with high vs. low TMB (RR 71% vs. 28%, P = 0.011 and mRFS 38.0 vs. 15.0 months, P = 0.009) and with high vs. low NAL (RR 71% vs. 28%, P = 0.011 and mRFS 36.0 vs. 18.5 months, P = 0.016). The presence of deleterious mutations in DDR genes was associated with improved RFS (mRFS 35.5 vs. 11.0 months, P = 0.017).

CONCLUSIONS:

In our cohort, improved outcomes after BCG immunotherapy were observed in patients with high TMB, high NAL and deleterious mutations in DDR genes. BCG may induce tumor-specific immune response by enhancing the recognition of neoantigens.
Long non-coding RNA LINC01116 regulated miR-744-5p/SCN1B axis to exacerbate lung squamous cell carcinoma
Authors: Fan Xiangyu , Sun Yingying , Guo Xu , He Chunbo , Han Beiqiu , Sun Xilin
Published: June 2020

This article has been retracted, and the online PDF replaced with this retraction notice.
Imaging and Contrast-enhanced Ultrasound features of duodenal neuroendocrine tumor: A case report
Authors: Zhang Yan-Qun , Wen Jie-Xian , Luo Rong-Kui , Yuan Hai-Xia , Wang Wen-Ping
Published: June 2020

Duodenal neuroendocrine tumors are rare neoplasms arising from endocrine cells. Here we present a case of 32-year-old woman with Duodenal neuroendocrine tumors, report the imaging and contrast-enhanced Ultrasound (CEUS) features and review previous literatures of neuroendocrine tumors, which may be valuable for the differential diagnosis of duodenal neoplasms.
Performance comparison of platelet function analyzers in cardiology patients: VerifyNow and Anysis-200 aspirin assays
Authors: Chung Young Hak , Lee Kyung Ah , Cho Minhee , Shin Sehyun , Lee Byoung Kwon
Published: June 2020

BACKGROUND: Analysis of responsiveness to antiplatelet therapy is crucial in the management of patients with cardiovascular diseases. OBJECTIVE: This study aimed to evaluate a new platelet function analysis system (Anysis-200) and to compare it with VerifyNow (Accumetrics, San Diego, CA, USA) in cardiology patients. METHODS: Overall, 125 citrated blood samples were collected from 85 cardiology patients referred for platelet function testing. In Anysis-200, platelet function was measured as blood migration distance (MD) until clogging of flow passage, which is comparable to aspirin resistance units obtained using VerifyNow. The two devices were simultaneously used and compared. RESULTS: The MDs before and after taking aspirin were 175±51 and 247±27 mm, respectively (p < 0.0001). Compared with VerifyNow (reference), the sensitivity and specificity of Anysis-200 was 91.5% and 75.5%, respectively (area under the curve, 0.829). Further, the true positive rate in patients newly taking aspirin was 85% for VerifyNow and 92.5% for Anysis-200, respectively. The Cohen’s kappa coefficient between the two devices was 0.682, indicating a relatively high agreement. CONCLUSIONS: Anysis-200, a novel system for assessing platelet aggregation, has accuracy and precision equivalent to that of, and significant agreement with, VerifyNow. Anysis-200 may be useful in screening patients with abnormal platelet reactivity and aspirin nonresponsiveness.
Value of multimodality imaging in the diagnosis of breast lesions with calcification: A retrospective study
Authors: Tong Wenjuan , Zhang Xiaoling , Luo Jia , Pan Fushun , Liang Jinyu , Huang Hui , Li Manying , Cheng Meiqing , Pan Jiamin , Zheng Yanling , Xie Xiaoyan
Published: June 2020

PURPOSE: To assess the value of conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and mammography in the diagnosis of breast lesions with calcifications. METHODS: A total of 87 breast lesions with calcification were subjected to US, CEUS and mammography and divided into 3 groups: Group A (all cases), Group A1 (31 cases who underwent US and CEUS first followed by mammography), and Group A2 (56 cases who underwent mammography first followed by US and CEUS). A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of different methods in different groups. RESULTS: In Group A, the area under the ROC curve (AUROC) of CEUS were 0.937, which were significantly higher than that of mammography (p < 0.05). In Group A1, the AUROC of CEUS were 0.842, which were not significantly different from that of US and mammography (p > 0.05). In Group A2, the AUROC of CEUS were 0.987, which were significantly higher than that of mammography and US (p < 0.05). CONCLUSION: Based on the mammography results, the combination of US and CEUS might improve the diagnostic efficacy in breast lesions with calcification.
Information governance and power relations: Reflections on archival education in Québec
Authors: Maurel Dominique , Zwarich Natasha
Published: June 2020

Information governance provides a framework of accountability for the effective and efficient use of information to meet organizational objectives and compliance requirements. While information functions are often carried out by separate units that frequently work in silos, information governance is based on an interactive approach, taking into account notions of participation, power, and negotiation. Power and political competencies, and organizational realities are inherent to effective governance. Not all actors, however have the same political weight and the same skills to assert themselves as important players. The implementation of an information governance framework should enable records managers and archivists to position themselves as key players in the organization. Based on a research project conducted in two phases (a statistical survey in 2015, enriched by interviews in 2017–2019 with information professionals and IT professionals), this paper presents the organizational actors of information governance, the influencing factors that allow them to exert some power over each other, and what competencies are required in context from records managers and archivists to play a strategic role. We also examine the integration of these competencies into university-based archival training programs in Québec, Canada.
Tests of muscle function and health related quality of life in healthy older adults in Sweden
Authors: Whyte Shikeira , Lavender Heather , Elam Cecilia , Svantesson Ulla
Published: June 2020

BACKGROUND: Life expectancy among older adults has dramatically increased and they are one of the fastest growing populations worldwide. Maintaining quality of life and the ability to live independently are often of greater importance than overall life expectancy. OBJECTIVE: To present reference values for tests of muscle function, and to study the relationship to a commonly used tool of generic health related quality of life (HRQL) in older Swedish adults. METHODS: The study consisted of 192 individuals (105 women) aged between 65 and 80. The tests included hand grip and isometric knee extension strength measurements, the standing heel rise test and a 30 m walking test. Health-related quality of life (HRQOL) was evaluated using the SF-36. RESULTS: Reference values for the measured parameters are presented. There were high correlations (n= 192) between handgrip and leg extension strength (r= 0.72–0.75; p< 0.01). The walking test’s self-selected speed demonstrated the strongest correlation with the physical component summary of the SF-36 (r= 0.57; p< 0.01) and with maximal speed, moderate correlations were demonstrated with muscle strength (r= 0.43–0.56; p< 0.01) and the heel rise test (r= 0.45; p< 0.01). CONCLUSIONS: This study presents reference values for simple tests of muscle function which are relatively easy to perform, used in a Swedish clinical setting performing screening for older adults.
Will improvements in health journalism improve health literacy?
Authors: Oransky Ivan
Published: June 2020

Today’s health care journalists work in a very different environment than those of yesterday. The demand for stories and broadcasts has grown exponentially, and the resources available have shrunk dramatically. While it may therefore be difficult to see how improvements in health care journalism are possible, let alone a way to improve health care literacy, there is an important connection that, if illuminated, could help both fields. To understand the literature on the quality of health care journalism, it is critical to understand the backgrounds of today’s health care journalists and the challenges they face. That literature also goes hand in hand with studies of the effects that news coverage has on the public’s understanding of health care issues. There are training and educational programs designed to help health care journalists do their jobs better, and this chapter concludes with a discussion of how cooperation between health journalists, physicians, and other stakeholders can lift all boats.
Air Pollution Neurotoxicity in the Adult Brain: Emerging Concepts from Experimental Findings
Authors: Haghani Amin , Morgan Todd E. , Forman Henry Jay , Finch Caleb E.
Published: June 2020

Epidemiological studies are associating elevated exposure to air pollution with increased risk of Alzheimer’s disease and other neurodegenerative disorders. In effect, air pollution accelerates many aging conditions that promote cognitive declines of aging. The underlying mechanisms and scale of effects remain largely unknown due to its chemical and physical complexity. Moreover, individual responses to air pollution are shaped by an intricate interface of pollutant mixture with the biological features of the exposed individual such as age, sex, genetic background, underlying diseases, and nutrition, but also other environmental factors including exposure to cigarette smoke. Resolving this complex manifold requires more detailed environmental and lifestyle data on diverse populations, and a systematic experimental approach. Our review aims to summarize the modest existing literature on experimental studies on air pollution neurotoxicity for adult rodents and identify key gaps and emerging challenges as we go forward. It is timely for experimental biologists to critically understand prior findings and develop innovative approaches to this urgent global problem. We hope to increase recognition of the importance of air pollution on brain aging by our colleagues in the neurosciences and in biomedical gerontology, and to support the immediate translation of the findings into public health guidelines for the regulation of remedial environmental factors that accelerate aging processes.
An orthographic and phonetic knowledge-based measure for confused drug names
Authors: Millán-Hernández Christian Eduardo , García-Hernández René Arnulfo , Ledeneva Yulia , Hernández-Castañeda Ángel
Published: June 2020

A drug name could be confused because it looks or sounds like another. Nevertheless, it is not possible to know a priori the causes of the confusion. Nowadays, sophisticated similarity measures have been proposed focused on improving the score of the detection. However, when a new drug name is proposed, the Federal Drug Administration (FDA) only can reject or accept the drug name based on this value. This paper not only improves the detection of confused drug names by integrating the strengths of different similarity measures but also the orthographic and phonetic knowledge of these measures are used to give an a priori explanation of the causes of confusion. In this paper, a novel measure that integrates 24 individual measures is developed for this problem. With our proposal, each individual measure contributes to this problem. Finally, we present examples of how our proposal is used for explaining the causes of the confusion which could assist to the FDA to accept or reject a new drug name or to know the confusion causes of previously reported cases.
Combination of similarity measures based on symbolic regression for confusing drug names identification
Authors: Vázquez Eder Vázquez , Ledeneva Yulia , García-Hernández René Arnulfo
Published: June 2020

Despite advances in medical safety, errors related to adverse drug reactions are still very common. The most common reason for a patient to develop an adverse reaction to a medication is confusion over the prescribed medication. The similarity of drug names (by their spelling or phonetic similarity) is recognized as the most critical factor causing medication confusion. Several studies have studied techniques for the identification of confusing medications pairs, the most important of which employ techniques based on similarity measures that indicate the degree of similarity that exists between two drugs names. Although it generates good results in the identification of confusing drug names, each of the similarity measures used detects to a greater or lesser degree of similarity that exists between a pair. Recent studies indicate that the optimized combination of several similarity measures can generate better results than the individual application of each one. This paper presents an optimized method of combining various similarity measures based on symbolic regression. The obtained results show an improvement in the identification of confusing drug names.
Automatic Generation of Dialogues based on Grammatical Inference and the use of a Knowledge Base
Authors: Vázquez Andrés , Pinto David , Pallares Juan , De la Rosa Rafael , Tecotl Elia
Published: June 2020

In this work, we present a model for the automatic generation of written dialogues, through the use of grammatical inference. This model allows the automatic recognition of grammars from a set dialogues employed as a training set. The inferred grammars are then used to generate templates of responses within the dialogues. The final objective is to apply this model in a specific domain dialogue system that answers questions in Spanish with the use of a knowledge base. The experiments carried out have been performend using the DIHANA project corpus which contains dialogues written in Spanish about schedules and prices of a rail system.
K-means based method for overlapping document clustering
Authors: Beltrán Beatriz , Vilariño Darnes , Martínez-Trinidad José Fco. , Carrasco-Ochoa J.A. , Pinto David
Published: June 2020

Overlapping clustering algorithms have shown to be effective for clustering documents. However, the current overlapping document clustering algorithms produce a big number of clusters, which make them little useful for the user. Therefore, in this paper, we propose a k-means based method for overlapping document clustering, which allows to specify by the user the number of groups to be built. Our experiments with different corpora show that our proposal allows obtaining better results in terms of FBcubed than other recent works for overlapping document clustering reported in the literature.
Irony detection in Twitter with imbalanced class distributions
Authors: Hernández Farías Delia Irazú , Prati Ronaldo , Herrera Francisco , Rosso Paolo
Published: June 2020

Irony detection is a not trivial problem and can help to improve natural language processing tasks as sentiment analysis. When dealing with social media data in real scenarios, an important issue to address is data skew, i.e. the imbalance between available ironic and non-ironic samples available. In this work, the main objective is to address irony detection in Twitter considering various degrees of imbalanced distribution between classes. We rely on the emotIDM irony detection model. We evaluated it against both benchmark corpora and skewed Twitter datasets collected to simulate a realistic distribution of ironic tweets. We carry out a set of classification experiments aimed to determine the impact of class imbalance on detecting irony, and we evaluate the performance of irony detection when different scenarios are considered. We experiment with a set of classifiers applying class imbalance techniques to compensate class distribution. Our results indicate that by using such techniques, it is possible to improve the performance of irony detection in imbalanced class scenarios.
Ranking based multi-label classification for sentiment analysis
Authors: Chen Dengbo , Rong Wenge , Zhang Jianfei , Xiong Zhang
Published: June 2020

This paper proposes a sentiment analysis framework based on ranking learning. The framework utilizes BERT model pre-trained on large-scale corpora to extract text features and has two sub-networks for different sentiment analysis tasks. The first sub-network of the framework consists of multiple fully connected layers and intermediate rectified linear units. The main purpose of this sub-network is to learn the presence or absence of various emotions using the extracted text information, and the supervision signal comes from the cross entropy loss function. The other sub-network is a ListNet. Its main purpose is to learn a distribution that approximates the real distribution of different emotions using the correlation between them. Afterwards the predicted distribution can be used to sort the importance of emotions. The two sub-networks of the framework are trained together and can contribute to each other to avoid the deviation from a single network. The framework proposed in this paper has been tested on multiple datasets and the results have shown the proposed framework’s potential.
PIANI: An ontology-based platform for outdoor activity recognition and non-intrusive assistance to the elderly
Authors: Gomez-Montalvo Jorge , Lopez Melchor , Curi Fernando , Moo-Mena Francisco , Menendez Victor
Published: June 2020

In this paper, we introduce a Platform for Non-Intrusive Assistance (named PIANI), as an assistance platform for elderly people able to do activities in outdoor environments without strict supervision. PIANI includes an ontology used to characterize outdoor activities of interest (activities to be observed). PIANI also defines a risk level of the activity that an elderly person is currently doing out of his home by comparing such activity to its characterization. In addition, the proposed platform uses the smartphone of the person in order to collect geographic and time information, which is used by PIANI to infer activity risk and send alert notifications based on semantic knowledge base. An experimental test was developed as a proof of concept about the utilization of PIANI to identify outdoors activities of elderly people, compute a level of risk and finally send non intrusive alert notification to the user.
Determining the importance of sentence position for automatic text summarization
Authors: Mendoza Griselda Areli Matias , Ledeneva Yulia , García-Hernández Rene Arnulfo
Published: June 2020

The methods of Automatic Extractive Summarization (AES) uses the features of the sentences of the original text to extract the most important information that will be considered in summary. It is known that the first sentences of the text are more relevant than the rest of the text (this heuristic is called baseline), so the position of the sentence (in reverse order) is used to determine its relevance, which means that the last sentences have practically no possibility of being selected. In this paper, we present a way to soften the importance of sentences according to the position. The comprehensive tests were done on one of the best AES methods using the bag of words and n-grams models with the with DUC02 and DUC01 data sets to determine the importance of sentences.
Measuring interdisciplinarity of research articles: An analysis of inter-relatedness of different parameters
Authors: Karmakar Mousumi , Singh Vivek Kumar , Pinto David
Published: June 2020

With evolution of knowledge disciplines and cross fertilization of ideas, research outputs reported as scientific papers are now becoming more and more interdisciplinary. An interdisciplinary research work usually involves ideas and approaches from multiple disciplines of knowledge applied to solve a specific problem. In many cases the interdisciplinary areas eventually emerge as full-fledged disciplines. In the last two decades, several approaches have been proposed to measure the Interdisciplinarity of a scientific article, such as propositions based on authorship, references, set of keywords etc. Among all these approaches, reference-set based approach is most widely used. The diversity of knowledge in the reference set has been measured with three parameters, namely variety, balance, and disparity. Different studies tried to combine these measures in one way or other to propose an aggregate measure of interdisciplinarity, called integrated diversity. However, there is a lack of understanding on inter-relations between these parameters. This paper tries to look into inter-relatedness between the three parameters by analytical study on an important interdisciplinary research area, Internet of Things (IoT). Research articles in IoT, as obtained from Web of Science for the year 2018 have been analyzed to compute the three measures and understand their inter-relatedness. Results obtained show that variety and balance are negatively correlated, variety and disparity do not show a stable relatedness and balance and disparity are negatively correlated. Further, the integrated diversity measure is negatively correlated with variety and weakly positively correlated with balance and disparity. The results imply that the composite integrated diversity measure may not be a suitably constructed composite measure of interdisciplinarity.
Improving unsupervised neural aspect extraction for online discussions using out-of-domain classification
Authors: Alekseev Anton , Tutubalina Elena , Malykh Valentin , Nikolenko Sergey
Published: June 2020

Deep learning architectures based on self-attention have recently achieved and surpassed state of the art results in the task of unsupervised aspect extraction and topic modeling. While models such as neural attention-based aspect extraction (ABAE) have been successfully applied to user-generated texts, they are less coherent when applied to traditional data sources such as news articles and newsgroup documents. In this work, we introduce a simple approach based on sentence filtering in order to improve topical aspects learned from newsgroups-based content without modifying the basic mechanism of ABAE. We train a probabilistic classifier to distinguish between out-of-domain texts (outer dataset) and in-domain texts (target dataset). Then, during data preparation we filter out sentences that have a low probability of being in-domain and train the neural model on the remaining sentences. The positive effect of sentence filtering on topic coherence is demonstrated in comparison to aspect extraction models trained on unfiltered texts.
Solving arithmetic word problems: A deep learning based approach
Authors: Mandal Sourav , Sekh Arif Ahmed , Naskar Sudip Kumar
Published: June 2020

This paper presents a novel deep learning based approach to solving arithmetic word problems. Solving different types of mathematical (math) word problems (MWP) is a very complex and challenging task as it requires Natural Language Understanding (NLU) and Commonsense knowledge. An application on this can benefit learning (education) technologies such as E-learning systems, Intelligent tutoring, Learning Management Systems (LMS), Innovative teaching/learning, etc. We propose Deep Learning based Arithmetic Word Problem Solver, DLAWPS, an intelligent MWP solver system. DLAWPS consists of a Recurrent Neural Network (RNN) based Bi-directional Long Short-Term Memory (BiLSTM) to classify operation among four basic operations {+ , - , * , /}, and a knowledge-based irrelevant information removal unit (IIRU) to identify the relevant quantities to form an equation to solve arithmetic MWPs. Our system generates state-of-the-art results on the standard arithmetic word problem datasets –AddSub, SingleOp, and a Combined dataset.
A study on cubic graphs with novel application
Authors: Rashmanlou Hossein , Muhiuddin G. , Amanathulla SK , Mofidnakhaei F. , Pal Madhumangal
Published: June 2020

Theoretical concepts of graphs are highly utilized by computer science applications. Especially in research areas of computer science such as data mining, image segmentation, clustering, image capturing and networking. The cubic graphs are more flexible and compatible than fuzzy graphs due to the fact that they have many applications in networks. In this paper, we define the direct product, strong product, and degree of a vertex in cubic graphs and investigate some of their properties. Likewise, we introduce the notion of complete cubic graphs and present some properties of self complementary cubic graphs. Finally, We present fuzzy cubic organizational model as an example of cubic digraph in decision support system.
Dynamic modeling, control and experimental validation of gimballed sensor system for precision pointing applications
Authors: Singh Ravindra , Khatoon Shahida , Chaudhary Himanshu , Pandey Ashish
Published: June 2020

Gimballed sensor system is a precision electromechanical assembly designed primarily to isolate the optical system from disturbances induced by the operating environment. This paper gives an insight to the design and development of gimballed sensor system for Line of Sight (LOS) stabilization of an electro-optical tracking and pointing system. Initially kinematic equations are formulated to establish a relationship between LOS angle and applied torque. This relationship is used to obtain nested loop transfer function model. First, the parameters of the proposed assembly are determined through experimentation & rigorous analysis process, and then conventional control design methodology is adopted for controller configuration design for current and rate loop. The frequency response analysis of the designed LOS stabilization model with conventional controller is done in simulation and the obtained results are verified experimentally against angular disturbances in real time scenario. Further, Based on prior qualitative information about system dynamics and linguistic performance criteria, a fuzzy logic controller of mamdani type with simplified rule set is developed with an objective to improve the disturbance attenuation and command response performance of designed system irrespective of angular disturbances due to platform vibrations, model uncertainties and mass imbalance in gimbal assembly. Both the Fuzzy logic simulation model and conventional model are tested based on critical performance characteristics such as stability of the loop, responsiveness of the loop and insensitivity to disturbances. Finally, the comparative analysis suggests that, although both the control configuration satisfies the required accuracy, Fuzzy logic control certainly improvised the performance of the gimballed sensor system and hence can be very effective for more precise pointing, tracking and stabilization application.
A novel purification machine and fuzzy inference method based hybrid model for wind speed forecasting
Authors: Ren Weina , Li Chengdong , Wen Peng
Published: June 2020

As one kind of readily available renewable energy sources, wind is widely used in power generation where wind speed plays an important role. Generally speaking, we need to forecast the wind speed for improving the controllability of wind power generation. However, there exists considerable randomness and instabilities in wind speed data so that it is difficult to obtain accurate forecasting results. In this paper, we propose a novel fuzzy inference method based hybrid model for accurate wind speed forecasting. In this hybrid model, we adopt two strategies to enhance the estimation performance. On one hand, we propose the purification machine which utilize the Irregular Information Reduction Module (IIRM) and the Irrelevant Variable Reduction Module (IVRM) to reduce the randomness and instabilities of the data and to eliminate the variables with zero or negative effect in the wind speed time series. On the other hand, we adopt the developed Single-Input-Rule-Modules based Fuzzy Inference System (SIRM-FIS), the functionally weighted SIRM-FIS (FWSIRM-FIS) to realize the prediction of wind speed. This FWSIRM-FIS utilizes the multi-variable functional weights to dynamically measure the importance of the input variables so that the input-output mapping can be strengthened and more accurate forecasting results can be achieved. Furthermore, detailed experiments and comparisons are given. Experimental results demonstrate that the proposed FWSIRM-FIS and purification machine contributes greatly to deal with the randomness and instability in the wind speed data and yield more accurate forecasting results than those existing excellent forecasting models.
Extension to ‘combined SNA and LDA methods to understand adverse medical events’: Doctor and nurse perspectives
Authors: Zhu Lin , Reychav Iris , McHaney Roger , Broda Arik , Tal Yossi , Manor Orly
Published: June 2020

BACKGROUND: Physicians and nurses are responsible for reporting medical adverse events. Each views these events through a different lens subject to their role-based perceptions and barriers. Physicians typically engage with diagnosis and treatment while nurses primarily care for patients’ daily lives and mental well-being. This results in reporting and describing medical adverse events differently. OBJECTIVE: We aimed to compare adverse medical event reports generated by physicians and nurses to better understand the differences and similarities in perspective as well as the nature of adverse medical events using social network analysis (SNA) and latent Dirichlet allocation (LDA). METHODS: The current study examined data from the Maccabi Healthcare Community. Approximately 17,868 records were collected from 2000 to 2017 regarding medical adverse events. Data analysis used SNA and LDA to perform descriptive text analytics and understand underlying phenomenon. RESULTS: A significant difference in harm levels reported by physicians and nurses was discovered. Shared topic keyword lists broken down by physicians and nurses were derived. Overall, communication, lack of attention, and information transfer issues were reported in medical adverse events data. Specialized keywords, more likely to be used by a physician were determined as: repeated prescriptions, diabetes complications, and x-ray examinations. For nurses, the most common special adverse event behavior keywords were vaccine problem, certificates of fitness, death and incapacity, and abnormal dosage. CONCLUSIONS: Communication and inattentiveness appeared most frequently in medical adverse events reports regardless of whether doctors or nurses did the reporting. Findings suggest feedback and information sharing processes could be implemented as a step toward alleviating many issues. Institutional management, healthcare managers and government officials should take actions to decrease medical adverse events, many of which may be preventable.
Refugiados: el desafío de una cuestión de justicia social
Authors: Schultheis Michael J.
Published: June 2020

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El diálogo social en la Comunidad Económica Europea
Authors: Lorente López Lucía , Moreno Camacho Lourdes
Published: June 2020

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Mesa redonda: La clase política. Sus relaciones con la sociedad
Authors: Vega Pedro de , García Santesmases Antonio
Published: June 2020

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La Sociedad Anónima Laboral como alternativa al trabajo asociado.
Authors: Morales Gutierrez Alfonso Carlos
Published: June 2020

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Elaboración del discurso social de la iglesia.
Authors: Calvez Jean-Yves
Published: June 2020

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Renta mínima, salario social y salario ciudadano
Authors: Redacción Consejo de
Published: June 2020

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Economía concertada.
Authors: Redacción Consejo de
Published: June 2020

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PENERAPAN SIMPLE ADDITIVE WEIGTHING PEMILIHAN KAYU UNTUK PEMBUATAN GITAR
Authors: Prasetyaningrum Putri Taqwa , Nugroho Rias  Ilham Agung
Published: June 2020

Wood is the main material for making guitars, if the wood selected is not suitable, then the guitars produced may not be perfect wood selection is not yet optimal if it only relies on one criterion, there must be a systematic and accurate calculation when selecting wood in order that the guitar produced can be perfect, when the guitar was sold, there would be no more complaints about it, such as inferior sound, fragile body, etc. One of the means to assist calculation is the Simple Additive Weighting (SAW) method,which can calculation the value of wood, criteria of wood, and value of each sub-criteria of wood, so that the wood chosen after the calculation would be suitable for marketing. After going through the stages of wood data testing from’fajar musik’, and the calculation also used predetermined criteria, namely sound quality, wood age, wood physique, and wood texture/pattern.

Keywords -  guitar, wood, selection decision support, simple additive weighting
MEMAHAMI PERILAKU PENGGUNA MEDIA SOSIAL DALAM MENYEBARKAN BERITA HOAX DI FACEBOOK
Authors: Efranda Nolan , Syamsuar Dedy , Atika Linda
Published: June 2020

Abstrak

Munculnya situs jejaring sosial atau media sosial memberikan kemudahan dalam melakukan komunikasi dan berbagi informasi melalui dunia maya. Facebook merupakan media sosial dengan pengguna terbanyak di Indonesia, dengan pengguna aktif sebanyak 130 juta akun. Konten apapun dapat dibagaikan melalui media sosial, sehingga memberikan peluang orang lain untuk melakukan penyebaran berita hoax melalui media sosial. Berdasarkan informasi dari Kemenkominfo pada bulan Agustus 2018 sampai April 2019 total temuan isu hoax sebanyak 1731 isu yang disebarkan melalui  media social. Penelitian ini bertujuab untuk mengnalsis faktor-faktor yang mempengaruhi seseorang melakukan penyebaran berita hoax melalui media social khusunya Facebook. ). Studi ini dilakukan menggunakan teori The New Media Literacies yang terdiri dari Simulation, Judgement, Collective Inttelgigence, Motiviasi, Sikap Afektif dan Konigtif. Metode penelitian yang digunakan adalah pengumpulan data kuantitatif dengan mengunakan Analisis Faktor. Analisis terhadap 34 variabel indikator menghasilkan Sembilan faktor terbentuk : (1) Faktor 1 menghasilkan 8 variabel indikator; (2) Faktor 2 menghasilkan 5 variabel indikator ; (3) Faktor 3 menghasilkan  4 variabel indikator; (4) Faktor 4 menghasilkan 3 variabel indikator; (5) Faktor 5 menghasilkan 3variabel indikator (6) Faktor 6  menghasilkan 3 variabel indikator; (7) Faktor 7 menghasilkan 3 variabel indikator; (8) Faktor 8 menghasilkan 2  variabel indikator (9) Faktor 9 menghasilkan 1 variabel indikator
PERANCANGAN ENTERPRISE ARCHITECTURE TEKNOLOGI INFORMASI ADAPTIF DENGAN FRAMEWORK TOGAF PADA UNIVERSITAS BINA INSAN
Authors: Martadinata A. Taqwa , Firdaus Firdaus
Published: June 2020

Teknologi Informasi (TI) serta Sistem Informasi (SI) saat ini wajib ada dalam menunjang sebuah organisasi atau perusahaan. Arsitektur yang baik beserta dokumentasinya yang sesuai memungkinkan kemudahan pemeliharaan agar sistem tidak menjadi usang. Dalam  hal  ini  arsitektur  TI didefinisikan  sebagai framework yang  terintegrasi  untuk  mengembangkan  atau memelihara  TI  yang  ada  dan  memperoleh  TI  yang  baru  untuk  mencapai  tujuan strategis organisasi. The Open Group Architectural Framework (TOGAF): Kuat pada Aspek Arsitektur Bisnis dan Arsitektur Teknis. Pada penelitian ini menggunakan TOGAF ADM mulai dari fase pendahuluan, kebutuhan manajemen, visi arsitektur, bisnis arsitektur, arsitektur system informasi, arsitektur teknologi,serta solusi dan peluang. Menetapkan 3 prinsip pengembangan arsitektur informasi teknologi adaptif pada Universitas Bina Insan. Pengembangan aplikasi berbasis single sign on (sso) untuk intergrasi antar system. Merupakan sebuah hasil dari penelitian ini yang dapat menghasilkan sebuah rancangan infrastruktur teknologi informasi yang berifat adaftip dengan konsep yang di adopsi berupa teknologi virtualisasi server, serta pemanfaatan proses bisnis mampu berjalan efisien, efektif serta sesuai yang diinginkan manajemen.
Prophet Muhammad (PBUH) Business Management In Organizational Development (Case Study Of Wikrama-Bogor Vocational School).
Authors: Niati Niati , Tanjung Hendri , Yasid Mukhamad
Published: June 2020

Global business in the industrial sector has an important role in Indonesia’s national economy. One of the organizations that support the development of business sector and also serving a noble purpose is the educational institution. This institution can address the needs of business sector for adequate human resources that capable in both hard and soft skill and has the ability to address the challenge as well as using the opportunity to develop the business. A business model is required in order to achieve an optimum result without sacrificing the stakeholder, one that upholds the value of religion and faith. Prophet Muhammad (pbuh) business management model is a model that has been proven to be successful for his business, a model in which the business can strive through his personality of shiddiq, amanah, fathonah, and tabligh. The objective of this research is to study the implementation of Prophet Muhammad (pbuh) business model that translates the value of shiddiq, amanah, fathonah, and tabligh into organizational development. The study was conducted in Wikrama-Bogor Vocational School by qualitative and case study approach. Data sampling was acquired through interviews, observation, questionnaire, and documentation. The population was 1,704 people and the total sample used in the analysis were 410 respondents. The result of this research shows that the implementation of shiddiq, amanah, fathonah, and tabligh values as the manifestation of Prophet Muhammad (pbuh) business management in Wikrama-Bogor Vocational School organizational development is in the good category. The score of 4 (four) Prophet Muhammad (pbuh) business management variables is greater than 55% which is the threshold for the good category. Therefore the value of honesty, sincerity, transparency, modesty, and objective as indicators that represent the value of shiddiq has been well implemented in Wikrama-Bogor Vocational School. The implementation of amanah value through the principles of respect, authority, trust, and dignity is also in the good category. The implementation of fathonah value through intelligence, knowledge, ethics, professionalism and reality indicator shows a similar result. The implementation of tabligh value through communication, leadership, wisdom, information and good example also is well implemented.