nils-herrmann/clean_scirepeval huggingface dataset:
Research on money laundering risk assessment of customers based on the empirical research of China

To implement a risk based regulatory approach, this paper aims to make an assessment on customers' money laundering risk and conducts some applications.  During the transition of a regulatory approach from "rule based" to "risk based" this paper considers that the area of a customer, types of business and the industries to which the customer belongs are the main indicators to judge money laundering risk of a customer. Based on the statistical analysis of 221 typical money laundering cases, first class index weights are given by using the entropy weight method and then by combining with the membership function, this paper determines a customer's money laundering risk levels. On the basis of the entropy weight method, this paper uses the C5.0 algorithm to construct a decision tree model and then carries out application research on customer money laundering risk assessment to verify the effectiveness of the entropy weight method and the decision tree model.  This empirical research found the weights of three key money laundering indicators: customer areas, business types and corresponding industries.  Asserting that current money laundering risk assessments of customers are marginal at best, this paper contends from the perspective of practice, and applies the entropy weight method and the decision tree model for money laundering risk assessment of customers.
HPI Question Answering System in BioASQ 2016

Question answering (QA) systems are crucial when searching for exact answers for natural language questions in the biomedical domain. Answers to many of such questions can be extracted from the 26 millions biomedical publications currently included in MEDLINE when relying on appropriate natural language processing (NLP) tools. In this work we describe our participation in the task 4b of the BioASQ challenge using two QA systems that we developed for biomedicine. Preliminary results show that our systems achieved first and second positions in the snippet retrieval sub task and for the generation of ideal answers.
Hybridizing harmony search algorithm with cuckoo search for global numerical optimization
Venue: Soft Comput.

For the purpose of enhancing the search ability of the cuckoo search (CS) algorithm, an improved robust approach, called HS/CS, is put forward to address the optimization problems. In HS/CS method, the pitch adjustment operation in harmony search (HS) that can be considered as a mutation operator is added to the process of the cuckoo updating so as to speed up convergence. Several benchmarks are applied to verify the proposed method and it is demonstrated that, in most cases, HS/CS performs better than the standard CS and other comparative methods. The parameters used in HS/CS are also investigated by various simulations.
Hub and spoke network design for container shipping along the Yangtze River

Increasingly large, high tonnage containerships are becoming a common sight on the Yangtze River, and the shipping network is being transformed accordingly. This paper reports the design of a hub and spoke network for a shipping company that is consistent with the characteristics of the Yangtze River. We first explore the economies of scale for container shipping by applying empirical data. Next, we propose a mixed integer linear programming model, factoring in ship operating and container handling costs. We then conduct a numerical experiment and test the effectiveness of the model, and finally discuss the implications of hub and spoke shipping network design. The findings reported herein support the trends toward cargo concentration and port regionalization along the Yangtze River.
The role of Chinese cabotage in Northeast Asian hub port development and container shipbuilding

China's economic boom in the 1990s and 2000s created an unprecedented level of seaborne trade in Northeast Asia, which was regulated by various maritime policies. The most notable were cabotage laws, which restricted the free movement of foreign vessels in Chinese waters. These restrictions created a demand for international container transhipment; a call answered by different countries to different degrees, largely based on their historic economic links with China. In this article, we review the rise of transhipment hubs in Northeast Asia, while also examining the synergistic relationship between hub ports and container shipbuilding. We demonstrate that it is not a coincidence that over 80 per cent of all new container ships are produced in Northeast Asia, linking the transhipment boom to the phenomenon of container ship overcapacity observed in 2016. We also offer a five stage visual summary depicting how a country can respond to an export boom by adjusting cabotage policies: first to facilitate export, then to protect domestic shipping. This concept offers specific predictions for two hubs actively involved in transhipment with China: Hong Kong and Busan.
Identification of (R) N (4 Methoxy 6 methyl 2 oxo 1,2 dihydropyridin 3 yl)methyl) 2 methyl 1 (1 (1 (2,2,2 trifluoroethyl)piperidin 4 yl)ethyl) 1H indole 3 carboxamide (CPI 1205) a Potent and Selective Inhibitor of Histone Methyltransferase EZH2, Suitable for Phase I Clinical Trials for B Cell Lymp
Venue: Journal of medicinal chemistry

Polycomb repressive complex 2 (PRC2) has been shown to play a major role in transcriptional silencing in part by installing methylation marks on lysine 27 of histone 3. Dysregulation of PRC2 function correlates with certain malignancies and poor prognosis. EZH2 is the catalytic engine of the PRC2 complex and thus represents a key candidate oncology target for pharmacological intervention. Here we report the optimization of our indole based EZH2 inhibitor series that led to the identification of CPI 1205, a highly potent (biochemical IC50 0.002 mM, cellular EC50 0.032 mM) and selective inhibitor of EZH2. This compound demonstrates robust antitumor effects in a Karpas 422 xenograft model when dosed at 160 mg/kg BID and is currently in Phase I clinical trials. Additionally, we disclose the co crystal structure of our inhibitor series bound to the human PRC2 complex.
Identification of a Benzoisoxazoloazepine Inhibitor (CPI 0610) of the Bromodomain and Extra Terminal (BET) Family as a Candidate for Human Clinical Trials.
Venue: Journal of medicinal chemistry

In recent years, inhibition of the interaction between the bromodomain and extra terminal domain (BET) family of chromatin adaptors and acetyl lysine residues on chromatin has emerged as a promising approach to regulate the expression of important disease relevant genes, including MYC, BCL 2, and NF kB. Here we describe the identification and characterization of a potent and selective benzoisoxazoloazepine BET bromodomain inhibitor that attenuates BET dependent gene expression in vivo, demonstrates antitumor efficacy in an MV 4 11 mouse xenograft model, and is currently undergoing human clinical trials for hematological malignancies (CPI 0610)
Reciprocity in Human Robot Interaction: A Quantitative Approach Through the Prisoner's Dilemma and the Ultimatum Game
Venue: Int. J. Soc. Robotics

Reciprocity is an important factor in human human interaction, so it can be expected that it should also play a major role in human robot interaction (HRI) Participants in our study played the Repeated Prisoner's Dilemma Game (RPDG) and the mini Ultimatum Game (mUG) with robot and human agents, with the agents using either Tit for Tat (TfT) or Random strategies. As part of the study we also measured the perceived personality traits in the agents using the TIPI test after every round of RPDG and mUG. The results show that the participants collaborated more with humans than with a robot, however they tended to be equally reciprocal with both agents. The experiment also showed the TfT strategy as the most profitable strategy; affecting collaboration, reciprocation, profit and joint profit in the game. Most of the participants tended to be fairer with the human agent in mUG. Furthermore, robots were perceived as less open and agreeable than humans. Consciousness, extroversion and emotional stability were perceived roughly the same in humans and robots. TfT strategy became associated with an extroverted and agreeable personality in the agents. We could observe that the norm of reciprocity applied in HRI has potential implications for robot design.
Deep Learning for Classification of Malware System Call Sequences
Venue: Australasian Conference on Artificial Intelligence

The increase in number and variety of malware samples amplifies the need for improvement in automatic detection and classification of the malware variants. Machine learning is a natural choice to cope with this increase, because it addresses the need of discovering underlying patterns in large scale datasets. Nowadays, neural network methodology has been grown to the state that can surpass limitations of previous machine learning methods, such as Hidden Markov Models and Support Vector Machines. As a consequence, neural networks can now offer superior classification accuracy in many domains, such as computer vision or natural language processing. This improvement comes from the possibility of constructing neural networks with a higher number of potentially diverse layers and is known as Deep Learning.
Key Challenges for Establishing CIO Position in the Public Sector of LDCs: A Case of Bangladesh

Unprecedented growth of information and communications technology (ICT) calls for new public management, pressure from donors, citizen demand, and, above all, the government's "Digital Bangladesh" political pledge provide impetus for integrating ICT in the public sector of Bangladesh. Despite efforts, the country cannot make sufficient progress in ICT due to the lack of IT structure led by a chief information officer (CIO) or similar leadership position. Although the literature describes various aspects of CIO including role effectiveness, competencies and structural relationship, it does not offer any prescriptive measure on how the CIO position should be established. Drawing on institutional theory, this research identifies critical challenges to establishing the CIO position in the public sector of Bangladesh. In depth interviews with various stakeholders at different levels of the public sector reveal two critical challenges: a lack of organisational structure, and a lack of commitment at a policy level.
An approach to face shape classification for hairstyle recommendation
Venue: 2016 Eighth International Conference on Advanced Computational Intelligence (ICACI)

It is important to choose a good hairstyle for women because it can enhance their beauty, personality, and confidence. One of the most important factors to consider for choosing the right hairstyle is the individuals face shape. An effective face shape classification can be used for constructing a hairstyle recommendation system. This paper presents a classification approach that divides face shapes into 5 different shapes: round, oval, oblong, square, and heart. This approach, which is based on an Active Appearance Model (AAM) and a face segmentation technique, produces a set of features that can be evaluated by several popular machine learning methods, namely, Linear Discriminant Analysis (LDA) Artificial Neural Networks (ANN) and Support Vector Machine (SVM) Our results show that the Support Vector Machine with Radial Basis function kernel was the best algorithm that predicted accurately up to 72%
The current state of the market of fitness services in the Republic of Kazakhstan and the city of Almaty

The extensive growth in demand for fitness services in Kazakhstan, due to the promotion of healthy lifestyles, physical beauty, now an incentive to enhance the marketing activities of enterprises sports services. The study has the following objectives: to analyze the market of fitness services in the Republic of Kazakhstan and Almaty city; to study consumer preferences in the field of fitness services. The following methods were used for the task: collecting secondary data, SWOT analysis. Also, the collection and processing of statistical data, publications, reports of foreign and domestic research and consulting companies, information analytical portals. This paper presents an analysis of the main indicators of the Kazakhstan market of fitness services, namely supply and demand for fitness services (market size, growth rate, key players, market segmentation, etc. as well as the current state of the market in the city of Almaty.
Production flows scheduling subject to fuzzy processing time constraints
Venue: Int. J. Comput. Integr. Manuf.

Effective sequencing and scheduling of material handling systems (MHSs) have a major impact on the productivity of a manufacturing system. Since the main function of a MHS is to supply the right materials at the right locations at the right time, the design of automated guided vehicles (AGVs) fleet oriented, distributed and scalability robust control policies ensuring deadlock free operations is of crucial importance. In this context, a given design of a flexible manufacturing system (FMS) where vehicles serve workstations located along different modes of cyclic guided paths in a 3D environment composed of rails/lifts/hoists is considered. Furthermore, fuzzy processing time constraints on transportation operations, a production flows scheduling problem subject to an assumed set of constraints imposed by admissible production routes and schedules of AGV fleet in a given MHS are considered. Since this type of problem can be treated as a fuzzy constraint satisfaction problem, the main objective is to provide analytical formulas enabling the avoidance of time consuming computer simulation based calculations of AGV fleet schedules, as well as vehicles deadlock and collisions, while keeping the throughput at the maximum achievable level. Results of computational experiments assessing the scalability of the proposed method are presented as well.
KEPUASAN KERJA KARYAWAN FOOD AND BEVERAGE SERVICE DEPARTMENT DI HOTEL GRAND TJOKRO PEKANBARU

The purpose of this research is how employee satisfaction Food and Beverage Service Department in work and how efforts to improve employee job satisfaction Food and Beverage Service Department in Grand Tjokro Hotel. This research was used descriptive quantitatif method to describe the issues. The sample used in this research was 7 people. Quesionnaires, interviews, and observations were used to collect the research data. The results of this research indicate that based on the research results obtained on the employee job satisfaction Food and Beverage Service Department at Grand Tjokro Hotel Pekanbaru quite satisfied. This is evidenced by the acquisition of the overall total score, which is 264 points. Challenging work mentally, appreciations, good work condition and colleagues who support are important things in improving the employees Food and Beverage Service Department work satisfaction.  Work satisfaction, employee Food and Beverage Service Department
Iniciacion al entrenamiento de fuerza en edades tempranas: revision

Resumen El entrenamiento de fuerza en edades prepuberes y puberes esta ampliamente recomendado por las organizaciones cientificas encargadas de velar por el entrenamiento saludable de estas poblaciones. En este contexto, el presente articulo tiene por objetivo elaborar una revision sobre el entrenamiento de la fuerza en edades tempranas. Para ello se revisaron trabajos publicados en ingles desde 1995 hasta 2014 en revistas indexadas, considerando aquellos cronologicamente mas recientes en primer lugar. Dentro de las principales evidencias se puede destacar que los beneficios derivados superan considerablemente los riesgos que pudiera conllevar este tipo de entrenamiento, siempre y cuando este cuidadosamente supervisado por tecnicos cualificados y el diseno del conjunto del programa adaptado a las caracteristicas, necesidades y objetivos individuales. Asimismo, el programa de entrenamiento debera contemplar la dosis adecuada de ejercicio neuromuscular de cada uno de sus componentes y la forma de progresar sensiblemente con los mismos a lo largo del tiempo.
Vector Control And Dynamics Of Ac Drives

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Vector Control And Dynamics Of Ac Drives

Thank you for reading vector control and dynamics of ac drives. As you may know, people have search hundreds times for their favorite books like this vector control and dynamics of ac drives, but end up in infectious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some infectious bugs inside their computer. vector control and dynamics of ac drives is available in our digital library an online access to it is set as public so you can get it instantly. Our book servers saves in multiple countries, allowing you to get the most less latency time to download any of our books like this one. Merely said, the vector control and dynamics of ac drives is universally compatible with any devices to read.
Model based control of permanent magnet AC servo motor drives
Venue: 2016 19th International Conference on Electrical Machines and Systems (ICEMS)

This paper presents an innovative control law for permanent magnet synchronous motor (PMSM) drive for high dynamics applications. This kind of system (three phase inverter connected with a PMSM) exhibits nonlinear behavior. Classically, to control the speed and the current (torque) a linearized technique is often used to study the stability and to select the controller parameters at specific operating point. In this paper, a model based control based on the flatness property of the drive system is proposed. Flatness provides a convenient framework for meeting a number of performance specifications on the PMSM drive. To validate the proposed method, a prototype PMSM drive (1 kW, 3000 rpm) is realized in the laboratory. The proposed control law is implemented by digital estimation in a dSPACE 1104 controller card. Experimental results demonstrate that the nonlinear differential flatness based control provides improved speed/current regulation relative to a classical linear PI vector control method.
E LEARNING, B LEARNING, M LEARNING AND THE TECHNICAL AND PEDAGOGICAL ASPECTS ON THE NEW PLATFORM TRENDS AS MASSIVE OPEN ONLINE COURSES

This article is based on the doctoral research conducted at the University of Minho in Education with specialization in Educational Technology, the research presents the technical and pedagogical aspects of e learning, b learning, m learning and the new trend for new platforms as MOOCs. The terminology of the word e learning is firstly discussed, as well as its respective definitions and concepts. The main cornerstones in the development of e learning as a teaching method are presented, which are then extended to the areas of b learning and m learning. We describe the historical aspects and the generations which arose from Distance Education. Furthermore, the technical and pedagogical approaches to e learning are related. A table is subsequently presented, displaying the advantages and challenges of the e learning practice. Finally, the e learning system is analysed, together with new platform trends, namely the Massive Open Online Courses.
Instrumento para Medir la Satisfaccion de un Curso de Formacion Directiva en Modalidad B Learning

El presente trabajo expone el instrumento para la medicion de la satisfaccion de acuerdo al modelo de Kirkpatrick y Kirkpatrick, utilizado en la tesis doctoral "Efectividad de un Curso de Formacion Directiva en Modalidad B Learning en una Universidad Tecnologica del Sureste de Mexico" (Preza, 2015) Asi mismo, se presentan los procesos de validez y de confiabilidad utilizados, para garantizar la objetividad de la informacion. Respecto a la validez, esta se llevo a cabo a traves de la validacion por expertos de la Academia de Formacion Directiva de la Universidad Tecnologica donde se realizo el estudio. Para obtener la confiabilidad, se considero el procedimiento de Alfa de Cronbach, por lo cual se realizo una aplicacion del instrumento previa a la recoleccion de datos, obteniendo un indice de .958, lo que representa que es altamente confiable.
Polarization Optics In Telecommunications

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Internet use by patients with bipolar disorder: Results from an international multisite survey
Venue: Psychiatry Research

There is considerable international interest in online education of patients with bipolar disorder, yet little understanding of how patients use the Internet and other sources to seek information. 1171 patients with a diagnosis of bipolar disorder in 17 countries completed a paper based, anonymous survey. 81% of the patients used the Internet, a percentage similar to the general public. Older age, less education, and challenges in country telecommunications infrastructure and demographics decreased the odds of using the Internet. About 78% of the Internet users looked online for information on bipolar disorder or 63% of the total sample. More years of education in relation to the country mean, and feeling very confident about managing life decreased the odds of seeking information on bipolar disorder online, while having attended support groups increased the odds. Patients who looked online for information on bipolar disorder consulted medical professionals plus a mean of 2.3 other information sources such as books, physician handouts, and others with bipolar disorder. Patients not using the Internet consulted medical professionals plus a mean of 1.6 other information sources. The percentage of patients with bipolar disorder who use the Internet is about the same as the general public. Other information sources remain important.
Augmented reality: Research agenda for studying the impact of its media characteristics on consumer behaviour

Augmented reality has emerged as a new interactive technology and its unprecedented way of complementing the physical environment with virtual annotations offers innovative modes for accessing commercially relevant content. However, little is known about how consumers respond to its features. This paper approaches augmented reality (AR) by studying media characteristics of interactive technologies and shows to which extent they are indicative of current AR commercial apps. Based on a literature review about consumer responses to these characteristics, potential media effects of AR on consumer behaviour are discussed. Finally, the article proposes a research agenda for further study of this new phenomenon in marketing.