nils-herrmann/clean_scirepeval huggingface dataset:
Development and characterization of ten novel microsatellite loci for the emu (Dromaius novaehollandiae) and genetic diversity of Japanese farm populations
Venue: Molecular Biology Reports
Year: 2020

The emu (Dromaius novaehollandiae) is a useful poultry animal farmed for fat, meat, and eggs. Genetic structure and relationships among farmed emu populations in Japan are unknown and the number of microsatellite markers for genetic analysis of the emu is insufficient. In this study, we isolated 16 microsatellites from the emu genome and developed ten new microsatellite markers. These microsatellite markers were used to characterize three farm emu populations in Japan. The number of alleles ranged from 3 to 13 and the expected (HE) and observed heterozygosity (HO) of these microsatellite loci was 0.187 0.802 and 0.179 0.647, respectively. The polymorphic information content ranged from 0.176 to 0.786. Positive inbreeding coefficient (FIS) values were detected in all tested populations, and they ranged from 0.027 to 0.540. These results suggest that farm populations of the emu in Japan resulted from inbreeding. The fixation index (FST) values ranged from 0.026 to 0.061, and phylogenetic trees and population structure analysis confirmed no definitive genetic differentiation among the three populations. Therefore, these populations are at a relatively low level of genetic differentiation at present. The microsatellite markers developed in our study can be utilized for genetic analysis and preservation of genetic resources in the emu.
Structural Design and Application of Azo based Supramolecular Polymer Systems
Venue: Chinese Journal of Polymer Science
Year: 2019

This article presents a brief overview of recent advances in azo containing supramolecular systems. In literature, it has been shown that azo supramolecular polymers and their composite materials exhibit fast and intelligent responses to various external stimuli, such as temperature, pH change, redox reagents, ligands, coupling reagents, etc. In applications, these systems are widely used for molecular motors, shape memory, liquid crystal, solar thermal energy storage, signal transmission, intelligent encryption, and other purposes. Furthermore, these systems can function as key components for device upgrade processing. However, the design and rules of azo supramolecular polymers are still not supported by an exact theory. Information about the relationship between the spatial structure and behavior is lacking, and new supramolecular materials cannot be designed by adding functional moieties to known azo polymers. Based on the current research status, this review mainly summarizes the structural design principles as well as structures and applications of known azo supramolecules; meanwhile, it highlights the emerging development fields, recent advances, and prospects in fabricating self assembling intelligent supramolecular systems with azo supramolecular polymers as responsive units. The goal of this review is to bring new inspiration to researchers who want to optimize the chemical structure, steric conformation, electrostatic environment, and specific molecular functionalization.
Predicting users' continued engagement in online health communities from the quantity and quality of received support
Venue: J. Assoc. Inf. Sci. Technol.
Year: 2021

Online health communities (OHCs) have been major resources for people with similar health concerns to interact with each other. They offer easily accessible platforms for users to seek, receive, and provide supports by posting. Taking the advantage of text mining and machine learning techniques, we identified social support type(s) in each post and a new user's support needs in an OHC. We examined a user's first time support seeking experience by measuring both quantity and quality of received support. Our results revealed that the amount and match of received support are positive and significant predictors of new users' continued engagement. Our outcomes can provide insight for designing and managing a sustainable OHC by retaining users.
The sources of pricing factors underlying the cross section of currency returns
Year: 2020

We propose four factors, including carry, momentum, value as well as currency market risk factors in a risk based asset pricing framework. By examining currency portfolios through time series and cross sectional asset pricing, we validate that the four factor model is capable of capturing the excess returns to these portfolios. Next, to understand the economic forces behind the carry, momentum and value factors, we investigate the linkages of these three factors to several fundamental variables. Our results indicate that the carry factor is linked to innovations in equity volatility and liquidity risk, whilst the momentum one is linked to innovations in equity volatility, funding liquidity risk and lagged short rate, whereas the value factor is linked to innovations in equity volatility, lagged term spread and lagged default spread. Whilst investors require compensation for a carry strategy that performs poorly when global market conditions deteriorate, they will pay for a momentum strategy that performs well under these circumstances. Positive innovations in equity volatility, an increase in funding liquidity risk and lagged short rate are good proxies for such periods.
MEDIA DAN POLITIK CITRA DALAM POLITIK INDONESIA KONTEMPORER
Year: 2012

The role of media in dinamics of Contemporary Indonesia Politic is slightly changing. Media control toward public opinion lets media become a tool for image creation and contestation in politic. The esence of politic have been reduced, on the other side the image of candidate become strategic isue beyond party program, vision and mision of the candidate. In political image, media change the candidate to be a package product adjusted to market taste instead of placing him as a political figure. Moreover, media represent constituent as political target market that can be influenced through public relations, marketing and ads strategies. Political image is also played by media within news, especially those which related to authorized power and capitalists. The win of candidate is determined by his soft skill in playing political image through the media.
Efeito da aplicacao de carga em coroas de diferentes materiais confeccionadas sobre implantes unitarios curtos e com diferentes diametros nas deformacoes da crista ossea analise in vitro e in silico
Year: 2018

O objetivo deste estudo foi analisar a influencia do material restaurador e do diametro do implante na magnitude das micro deformacoes da regiao peri implantar, durante carregamento axial. Os diferentes implantes (3.5 X 08 mm; 4.0 X 08 mm e 5.0 X 08 mm) foram instalados 2 mm infra osseo em uma resina de poliuretano. Pilares proteticos retos (Base de Titanio 4.5) foram instalados (15 N.cm) sobre os respectivos implantes. Para cada implante, tres diferentes coroas monoliticas (Dissilicato de litio, Zirconia e Cromo cobalto) foram confeccionadas por usinagem e cimentadas com cimento resinoso dual. Ao redor dos implantes foram instalados extensometros eletricos e uma carga de 300N aplicada sobre cada coroa. Em seguida, modelos tridimensionais identicos ao ensaio laboratorial foram construidos para realizacao da analise por elementos finitos e verificacao das tensoes internas do sistema de protese sobre implante. Os resultados demonstram que as micro deformacoes sofreram influencia do fator "diametro"apenas, sendo o grupo com implantes de 5.0 mm menos suscetiveis a falha mecanica para todas estruturas tridimensionais analisadas. Podemos concluir que implantes curtos e estreitos sao menos favoraveis para dissipacao das cargas mastigatorias independente da coroa protetica utilizada.  Analise de Elementos Finitos; Implantes Dentarios; Protese Dentaria.  Exata Usinagem Laboratorio Joal e Neodent Referencias Frost HM. Wolff's Law and bone's structural adaptations to mechanical usage: an overview for clinicians. Angle Orthod; 1994; 64(3):175 88. Tribst JPM, Dal Piva AMO, Borges ALS. Biomechanical tools to study dental implants: a literature review.  2016; 19(4):5 1. Tribst JPM, Dal Piva AMO, Rodrigues VA, Borges ALS, Nishioka RS. Stress and strain distributions on short implants with two different prosthetic connections an in vitro and in silico analysis.
Alternatively spliced variants of the 5' UTR of the ARPC2 mRNA regulate translation by an internal ribosome entry site (IRES) harboring a guanine quadruplex motif
Venue: RNA biology
Year: 2019

The 5' UTR of the actin related protein 2/3 complex subunit 2 (ARPC2) mRNA exists in two variants. Using a bicistronic reporter construct, the present study demonstrates that the longer variant of the 5' UTR harbours an internal ribosome entry site (IRES) which is lacking in the shorter one. Multiple control assays confirmed that only this variant promotes cap independent translation. Furthermore, it includes a guanine rich region that is capable of forming a guanine quadruplex (G quadruplex) structure which was found to contribute to the IRES activity. To investigate the cellular function of the IRES element, we determined the expression level of ARPC2 at various cell densities. At high cell density, the relative ARPC2 protein level increases, supporting the presumed function of IRES elements in driving the expression of certain genes under stressful conditions that compromise cap dependent translation. Based on chemical probing experiments and computer based predictions, we propose a structural model of the IRES element, which includes the G quadruplex motif exposed from the central stem loop element. Taken together, our study describes the functional relevance of two alternative 5' UTR splice variants of the ARPC2 mRNA, one of which contains an IRES element with a G quadruplex as a central motif, promoting translation under stressful cellular conditions Graphical abstract
Co attending Free form Regions and Detections with Multi modal Multiplicative Feature Embedding for Visual Question Answering
Venue: AAAI
Year: 2018

Recently, the Visual Question Answering (VQA) task has gained increasing attention in artificial intelligence. Existing VQA methods mainly adopt the visual attention mechanism to associate the input question with corresponding image regions for effective question answering. The free form region based and the detection based visual attention mechanisms are mostly investigated, with the former ones attending free form image regions and the latter ones attending pre specified detection box regions. We argue that the two attention mechanisms are able to provide complementary information and should be effectively integrated to better solve the VQA problem. In this paper, we propose a novel deep neural network for VQA that integrates both attention mechanisms. Our proposed framework effectively fuses features from free form image regions, detection boxes, and question representations via a multi modal multiplicative feature embedding scheme to jointly attend question related free form image regions and detection boxes for more accurate question answering. The proposed method is extensively evaluated on two publicly available datasets, COCO QA and VQA, and outperforms state of the art approaches. Source code is available at this https URL
A closed loop supply chain network design with considering third party logistics: a case study
Year: 2020

Organizations are nowadays seeking competitive advantage over other rivals, reduction of costs, and customer satisfaction for their progress and development. One of the key factors in reaching the competitive advantage is to have a robust logistic system. The available complexities in the forward and reverse integration processes lead managers to take the companies offering third party logistics services as proper alternatives for outsourcing processes. Furthermore, with population growth and development of transportation network, the amount of scrap products related to this industry is increasing. One of the widely used products is tire which could cause irreversible damages to the environment if it is not logically and appropriately disposed after being fully used. Accordingly, this study proposed a multi period, multi product, bi objective mathematical model to design a closed loop supply chain network in the tire industry concerning sustainability factors (economic and social) under the third party logistic management. The proposed model aimed at maximizing the profit made by different process over the scrap products and reaching social sustainability as well. Furthermore, the environmental impacts were controlled. The augmented epsilon constraint method was implemented to solve the multi objective model and reach optimal Pareto solutions. Finally, the proposed model was validated against a case study in the tire industry.
Zero Latency Queuing System Based on Deficit Round Robin
Venue: 2007 16th International Conference on Computer Communications and Networks
Year: 2007

As the Internet grows in size and bandwidth, a variety of real time applications such as voice over IP (VoIP) and video conferences require low latency, bandwidth guarantee and delay bounded service constraints. Because current Internet provides only offer best effort services, packet scheduling algorithms supporting quality of service (QoS) requirements play an important part in switches and routers. This paper discusses a new packet scheduling discipline called zero latency queuing scheduler (ZLQS) which has one special zero latency queue (ZLQ) for real time traffic flows. When a packet comes to the ZLQ, it is serviced at a time from en queue to de queue without queuing latencies. The ZLQS offers zero latency queuing for real time traffic flows, and in addition it supports not only committed rate (CR)1 but also peak rate (PR)2 or burst rate (BR) for the bandwidth reservation. The ZLQS is a frame based scheduler like deficit round robin (DRR) and therefore has the good properties of simple implementation at high speeds routers or switches, per packet work complexity of O(l) and almost perfect fairness.
Multi Player Multi Armed Bandits for Stable Allocation in Heterogeneous Ad Hoc Networks
Venue: IEEE Journal on Selected Areas in Communications
Year: 2019

Next generation networks are expected to be ultra dense and aim to explore spectrum sharing paradigm that allows users to communicate in licensed, shared as well as unlicensed spectrum. Such ultra dense networks will incur significant signaling load at base stations leading to a negative effect on spectrum and energy efficiency. To minimize signaling overhead, an ad hoc approach is being considered for users communicating in the unlicensed and shared spectrums. For such users, decisions need to be completely decentralized as: 1) No communication between users and signaling from the base station is possible which necessitates independent channel selection at each user. A collision occurs when multiple users transmit simultaneously on the same channel, 2) Channel qualities may be heterogeneous, i.e. they are not same across all users, and moreover, are unknown, and 3) The network could be dynamic where users can enter or leave anytime. We develop a multi armed bandit based distributed algorithm for static networks and extend it for the dynamic networks. The algorithms aim to achieve stable orthogonal allocation (SOC) in finite time and meet the above three constraints with two novel characteristics: 1) Low complexity narrowband radio compared to wideband radio in existing works, and 2) Epoch less approach for dynamic networks. We establish convergence of our algorithms to SOC and validate via extensive simulation experiments.
Examining the Role of Technology Anxiety and Health Anxiety on Elderly Users' Continuance Intention for Mobile Health Services Use
Venue: HICSS
Year: 2020

Mobile health (mHealth) is considered to be an important means of releasing the aging population problem. The efficiency of mHealth service can be increased by incorporating more elderly users and guaranteeing their continued use. However, limited attention has been directed toward investigating elderly users' continuance intention for mHealth service use. Drawing upon the trust theory, we investigated elderly users' characteristics, i.e. health anxiety and technology anxiety, to explain continuance intention. Survey data were collected comprising 261 valid responses to validate the research model and hypotheses. The results revealed that both cognitive and affective trust enhance continuance intention of mHealth services use. Health anxiety strengthens the effect of cognitive trust, but weakens the effect of affective trust, on the continuance intention. Furthermore, technology anxiety strengthens the effect of affective trust, but not that of cognitive trust, on the continuance intention. The limitations of our study and the theoretical and practical implications are discussed.
The future of manufacturing industry: a strategic roadmap toward Industry 4.0
Year: 2018

The purpose of this paper is to conduct a state of the art review of the ongoing research on the Industry 4.0 phenomenon, highlight its key design principles and technology trends, identify its architectural design and offer a strategic roadmap that can serve manufacturers as a simple guide for the process of Industry 4.0 transition.,The study performs a systematic and content centric review of literature based on a six stage approach to identify key design principles and technology trends of Industry 4.0. The study further benefits from a comprehensive content analysis of the 178 documents identified, both manually and via IBM Watson's natural language processing for advanced text analysis.,Industry 4.0 is an integrative system of value creation that is comprised of 12 design principles and 14 technology trends. Industry 4.0 is no longer a hype and manufacturers need to get on board sooner rather than later.,The strategic roadmap presented in this study can serve academicians and practitioners as a stepping stone for development of a detailed strategic roadmap for successful transition from traditional manufacturing into the Industry 4.0. However, there is no one size fits all strategy that suits all businesses or industries, meaning that the Industry 4.0 roadmap for each company is idiosyncratic, and should be devised based on company's core competencies, motivations, capabilities, intent, goals, priorities and budgets.,The first step for transitioning into the Industry 4.0 is the development of a comprehensive strategic roadmap that carefully identifies and plans every single step a manufacturing company needs to take, as well as the timeline, and the costs and benefits associated with each step. The strategic roadmap presented in this study can offer as a holistic view of common steps that manufacturers need to undertake in their transition toward the Industry 4.0.,The study is among the first to identify, cluster and describe design principles and technology trends that are building blocks of the Industry 4.0. The strategic roadmap for Industry 4.0 transition presented in this study is expected to assist contemporary manufacturers to understand what implementing the Industry 4.0 really requires of them and what challenges they might face during the transition process.
Multi layer 3dB Power Divider Based on Half mode Corrugated Substrate Integrated Waveguide
Venue: 2020 9th Asia Pacific Conference on Antennas and Propagation (APCAP)
Year: 2020

In this paper, a double layer 3dB HMSCIW power divider is designed. The HMCSIW structure is used to design the power divider, the power divider has the advantages of strong coupling of traditional SIW power divider, low cost, simple manufacturing process, etc. and it can also be directly connected to the active circuit. The simulation results show that when the center frequency is 10 GHz, the return loss is better than 18 dB between 8.6GHz and 12.6 GHz, and S12 is equal to S13, which is almost around 4dB, its performance is great. The device is simple to integrate with active circuits.
Land Use and Land Cover Change Detection and Prediction in the Kathmandu District of Nepal Using Remote Sensing and GIS
Year: 2020

Understanding land use and land cover changes has become a necessity in managing and monitoring natural resources and development especially urban planning. Remote sensing and geographical information systems are proven tools for assessing land use and land cover changes that help planners to advance sustainability. Our study used remote sensing and geographical information system to detect and predict land use and land cover changes in one of the world's most vulnerable and rapidly growing city of Kathmandu in Nepal. We found that over a period of 20 years (from 1990 to 2010) the Kathmandu district has lost 9.28% of its forests, 9.80% of its agricultural land and 77% of its water bodies. Significant amounts of these losses have been absorbed by the expanding urbanized areas, which has gained 52.47% of land. Predictions of land use and land cover change trends for 2030 show worsening trends with forest, agriculture and water bodies to decrease by an additional 14.43% 16.67% and 25.83% respectively. The highest gain in 2030 is predicted for urbanized areas at 18.55% Rapid urbanization coupled with lack of proper planning and high rural urban migration is the key driver of these changes. These changes are associated with loss of ecosystem services which will negatively impact human wellbeing in the city. We recommend city planners to mainstream ecosystem based adaptation and mitigation into urban plans supported by strong policy and funds.
Revisiting Black Identity Through Milkman's Quest in Toni Morrison's Song of Solomon
Year: 2020

Since slavery, Black people in America have been concerned with struggling for identity. His history has also been twisted, marginalized, and gagged. This thing denied the heritage and integrity of Blacks. The war they waged was aimed at denying misunderstandings and at removing their stereotyped images. The re establishment of its real past reveals that Blacks have a strong tradition that helps them to examine and appreciate the social activities that take place in their new world. The Black culture gives its very life a real sense and gives them an identity that gives them pride and dignity in expressing and affirming their American citizenship.
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif based Graph Convolutional Recurrent Neural Network
Venue: ArXiv
Year: 2019

Traffic forecasting is crucial for urban traffic management and guidance. However, existing methods rarely exploit the time frequency properties of traffic speed observations, and often neglect the propagation of traffic flows from upstream to downstream road segments. In this paper, we propose a hybrid approach that learns the spatio temporal dependency in traffic flows and predicts short term traffic speeds on a road network. Specifically, we employ wavelet transform to decompose raw traffic data into several components with different frequency sub bands. A Motif based Graph Convolutional Recurrent Neural Network (Motif GCRNN) and Auto Regressive Moving Average (ARMA) are used to train and predict low frequency components and high frequency components, respectively. In the Motif GCRNN framework, we integrate Graph Convolutional Networks (GCNs) with local sub graph structures Motifs to capture the spatial correlations among road segments, and apply Long Short Term Memory (LSTM) to extract the short term and periodic patterns in traffic speeds. Experiments on a traffic dataset collected in Chengdu, China, demonstrate that the proposed hybrid method outperforms six state of art prediction methods.