nils-herrmann/clean_scirepeval huggingface dataset:
Does Ethics Perception Foster Consumer Repurchase Intention? Role of Trust, Perceived Uncertainty, and Shopping Habit
Venue: SAGE Open
Year: 2019

Ethics in e commerce is one of the most crucial factors that significantly influence consumer behavior. Hitherto, most of the studies have been executed in developed countries while few research has been conducted in developing countries. The main aim of this research is to explore the roles of e retailers' ethics to fit in with the development in developing countries. To reach this end, this research developed and tested a research model that explains the relationship between consumers' perception regarding the ethics of online retailers (CPEOR) and consumer repurchase intention (RPI) Partial least squares (PLS) approach with data collected from a survey of 518 online shoppers in Vietnam was employed to test this research model. The results showed that CPEOR has an indirect effect on consumer RPI through the mediation of consumer trust and perceived uncertainty. Furthermore, this research concretized the moderating effect of consumer online shopping habit in the relationship between RPI and its determinants.
The comparative study of thermal fatigue behavior of H13 die steel with biomimetic non smooth surface processed by laser surface melting and laser cladding
Year: 2013

According to previous studies, the thermal fatigue behavior of hot work tool steel with biomimetic non smooth surface treated by laser surface melting (LSM) gets a significant improvement. However, the properties of LSM non smooth unit degenerate during thermal cycles. In order to improve the properties of non smooth unit during thermal cycles, laser cladding (LC) was employed to fabricate the non smooth unit. Before and after thermal fatigue testing, the microstructure and microhardness of non smooth unit treated by LSM and LC have been investigated. The results showed that the non smooth sample processed by LC is more effective to improve thermal fatigue behavior than that treated by LSM. During the thermal fatigue testing, LC non smooth unit had better resistance to thermal cycles softening compared with LSM non smooth unit. After thermal fatigue testing, a distinct change of the microstructure of LSM non smooth unit was detected, i.e. the grains of the non smooth unit became coarsening obviously. However, the microstructure of LC non smooth unit was not changed significantly after thermal fatigue testing.
Targeting the translational machinery in aggressive cancers
Year: 2019

Eukaryotic initiation factor 4E (eIF4E) is a key focus in cancer research due to its central role in controlling the translation of tumour associated proteins that drive an aggressive migratory phenotype. eIF4E activity, modulated via its availability and phosphorylation are regulated by the PI3K/AKT/mTOR and mitogen activated protein kinase interacting protein kinases (MNK1/2) The latter phosphorylates eIF4E on Ser209 whereas mTORC1 phosphorylates and de activates the eIF4E inhibitor, 4E BP1, to release translational repression. The work presented here describes the synthesis and characterisation of 4 (4 fluoro 2 isopropoxyphenyl)amino) 5 methyl thieno[2,3 d] pyrimidine 6 carboylic acid, known as compound 1, a MNK1/2 inhibitor. Further analysis of compound 1 in combination with mTORC1/2 inhibitors show that inhibiting these pathways simultaneously effectively slows the rate of cell migration in MDA MB 231 triple negative breast cancer (TNBC) cells. As an alternative approach, novel, cleavable dual MNK1/2 and PI3K/mTOR inhibiting hybrids were synthesised and characterised in MDA MB 231 cells. These were found to be less effective at slowing cell migration than the combination of individual inhibitors. Molecular modelling of compound 1 revealed a large hydrophobic pocket which was exploited with a bulkier ferrocene group. Two novel ferrocene containing compounds based upon compound 1 were synthesised and screened for MNK1/2 inhibition. To target migration more specifically, work was also carried out with an alternative translational protein, DDX3X. Both genetic knockdown and pharmacological inhibition alone and in combination with compound 1 reveal its potential as an anti cancer target.
Dynamics of Strategic Protection Against Virus Propagation in Heterogeneous Complex Networks
Venue: GameSec
Year: 2017

With an increasing number of wide spreading cyber attacks on networks such as the recent WannaCry and Petya Ransomware, protection against malware and virus spreading in large scale networks is essential to provide security to network systems. In this paper, we consider a network protection game in which heterogeneous agents decide their individual protection levels against virus propagation over complex networks. Each agent has his own private type which characterizes his recovery rate, transmission capabilities, and perceived cost. We propose an evolutionary Poisson game framework to model the heterogeneous interactions of the agents over a complex network and analyze the equilibrium strategies for decentralized protection. We show the structural results of the equilibrium strategies and their connections with replicator dynamics. Numerical results are used to corroborate the analytical results.
The value and complexity of collection arrangement for evidentiary work
Venue: J. Assoc. Inf. Sci. Technol.
Year: 2015

Archives are invaluable resources for those interested in understanding past activities and events. What makes archival collections valuable as evidence is that they are organized in a way that connects the materials to their creator(s) their associated activities, and recordkeeping systems. In order to create this organization archivists engage in a complex process that involves arranging materials physically and intellectually. This arrangement focuses on documenting the original order of the materials and making them evident to secondary users. The time consuming nature of this process has resulted in a massive backlog of unprocessed (and thus unavailable) collections, which represents an impediment to the investigative activities of scholars and researchers. To help alleviate such a situation, this article presents a novel approach to archival arrangement, using tabletop computers and digitized images. The article explains the project design and implementation and discusses the evaluation results. This work provides several major contributions to the field, including: a new system that allows archival collections to be arranged digitally, new methods and metrics for evaluating archival arrangements, a detailed analysis of the steps involved in archival arrangement and how they correlate with the final outcomes of the process, and a method for analyzing arrangements based on the topologies created by processing archivists.
When is brand content shared on Facebook? A field study on online Word of Mouth
Year: 2019

When implementing social media strategies on Facebook brand pages, companies focus on factors that prompt electronic Word of Mouth (eWoM) about brand contents. This study examines individual and collective factors that lead to brand content sharing behaviors. The research conducts a field study of a real brand on its Facebook fan page to gather actual behavioral data. Both declarative and behavioral data are used to explain brand eWoM, based on 250 participants. Empirical results show that the Facebook activity has a positive influence on brand content sharing for active users (posters) but not for nonactive users (lurkers) while brand engagement positively affects brand content sharing for both active and nonactive users. Furthermore, brand community involvement does not have an influence on brand content sharing. Findings offer companies useful recommendations for using the determinants included in our research design to understand and analyze the sharing behaviors of users.
PENGARUH DEBIT AIR TERHADAP PERBAIKAN KUALITAS AIR PADA SISTEM RESIRKULASI DAN HUBUNGANNYA DENGAN SINTASAN DAN PERTUMBUHAN BENIH IKAN GURAME (Oshpronemus gouramy)
Year: 2017

Kendala dalam kegiatan budidaya ikan gurame adalah ketersediaan benih yang kurang. Tingkat Kematian yang tinggi pada tahap pembenihan ikan gurame menjadi kendala yang sering dihadapi dalam industrialisasi komoditi ini. Sistem resirkulasi dengan perlakuan debit air dapat menjadi salah satu pemecahan masalah. Tujuan penelitian ini untuk mengetahui debit yang paling optimal dalam memperbaiki kualitas air dan hubungannya dengan pertumbuhan dan sintasan benih ikan gurame pada sistem resirkulasi. Penelitian ini menggunakan Rancangan Acak Lengkap dengan 3 perlakuan yaitu debit 0,03 L/detik, debit 0,025 L/detik dan 0,02 L/detik dengan 3 kali ulangan. Hasil penelitian menunjukkan bahwa debit air yang berbeda memberikan pengaruh yang signifikan terhadap peningkatan tingkat kualitas air, pertumbuhan dan kelangsungan hidup. Perlakuan terbaik ditunjukkan oleh perlakuan ketiga (debit 0,03 L/detik) yaitu nilai pertumbuhan panjang 1,28+ 0,15 cm, nilai pertumbuhan berat 0,58+ 0,07 dan nilai kelangsungan hidup mencapai 85%
The Results of Pancreatic Resections and Long Term Survival for Pancreatic Ductal Adenocarcinoma: A Single Institution Experience
Venue: Scandinavian journal of surgery SJS official organ for the Finnish Surgical Society and the Scandinavian Surgical Society
Year: 2017

Since the early 1990s, low long term survival rates following pancreatic surgery for pancreatic ductal adenocarcinoma have challenged us to improve treatment. In this series, we aim to show improved survival from pancreatic ductal adenocarcinoma during the era of centralized pancreatic surgery.  Analysis of all pancreatic resections performed at Helsinki University Hospital and survival of pancreatic ductal adenocarcinoma patients during 2000 2013 were included. Post operative complications such as fistulas, reoperations, and mortality rates were recorded. Patient and tumor characteristics were compared with survival data.  Of the 853 patients undergoing pancreatic surgery, 581 (68% were pancreaticoduodenectomies, 195 (21% distal resections, 28 (3% total pancreatectomies, and 49 (6% other procedures. Mortality after pancreaticoduodenectomy was 2.1% The clinically relevant B/C fistula rate was 7% after pancreaticoduodenectomy and 13% after distal resection, and the re operation rate was 5% The 5 and 10 year survival rates for pancreatic ductal adenocarcinoma were 22% and 14% for T1 2, N0 and R0 tumors, the corresponding survival rates were 49% and 31% Carbohydrate antigen 19 9 >75 kU/L, carcinoembryonic antigen >5 ug/L, N1, lymph node ratio >20% R1, and lack of adjuvant therapy were independent risk factors for decreased survival.  After centralization of pancreatic surgery in southern Finland, we have managed to enable pancreatic ductal adenocarcinoma patients to survive markedly longer than in the early 1990s. Based on a 1.7 million population in our clinic, mortality rates are equal to those of other high volume centers and long term survival rates for pancreatic ductal adenocarcinoma have now risen to some of the highest reported.
Investigative study of various activation functions for speech recognition
Venue: 2017 Twenty third National Conference on Communications (NCC)
Year: 2017

Significant developments in deep learning methods have been achieved with the capability to train more deeper networks. The performance of speech recognition system has been greatly improved by the use of deep learning techniques. Most of the developments in deep learning are associated with the development of new activation functions and the corresponding initializations. The development of Rectified linear units (ReLU) has revolutionized the use of supervised deep learning methods for speech recognition. Recently there has been a great deal of research interest in the development of activation functions Leaky ReLU (LReLU) Parametric ReLU (PReLU) Exponential Linear units (ELU) and Parametric ELU (PELU) This work is aimed at studying the influence of various activation functions on speech recognition system. In this work, a hidden Markov model Deep neural network (HMM DNN) based speech recognition is used, where deep neural networks with different activation functions have been employed to obtain the emission probabilities of hidden Markov model. In this work, two datasets i.e. TIMIT and WSJ are employed to study the behavior of various speech recognition systems with different sized datasets. During the study, it is observed that the performance of ReLU networks is superior compared to the other networks for the smaller sized dataset (i.e. TIMIT dataset) For the datasets of sufficiently larger size (i.e. WSJ) performance of ELU networks is superior to the other networks.
Assessing the Impact of Education and Marriage on Labor Market Exit Decisions of Women
Year: 2010

During the late 1990s, the convergence of women's labor force participation rates to men's rates came to a halt. This paper explores the degree to which the role of education and marriage in women's labor supply decisions also changed over this time period. Specifically, this paper investigates women's decisions to exit the labor market upon the birth of a child. The results indicate that changing exit behavior among married, educated women at this period in their lives was not likely the driving force behind the aggregate changes seen in labor force participation. Rather, changes in exit rates among single women, particularly those less educated, are much more consistent with the changing pattern of aggregate female labor force participation.
Deep Transfer Learning for COVID 19 Prediction: Case Study for Limited Data Problems.
Venue: Current medical imaging
Year: 2020

Automatic prediction of COVID 19 using deep convolution neural networks based pre trained transfer models and Chest X ray images.  This research employs the advantages of computer vision and medical image analysis to develop an automated model that has the clinical potential for early detection of the disease. Using Deep Learning models, the research aims at evaluating the effectiveness and accuracy of different convolutional neural networks models in the automatic diagnosis of COVID 19 from X ray images as compared to diagnosis performed by experts in the medical community.  Due to the fact that the dataset available for COVID 19 is still limited, the best model to use is the InceptionNetV3. Performance results show that the InceptionNetV3 model yielded the highest accuracy of 98.63% (with data augmentation) and 98.90% (without data augmentation) among the three models designed. However, as the dataset gets bigger, the Inception ResNetV2 and NASNetlarge will do a better job of classification. All the performed networks tend to over fit when data augmentation is not used, this is due to the small amount of data used for training and validation.  A deep transfer learning is proposed to detecting the COVID 19 automatically from chest X ray by training it with X ray images gotten from both COVID 19 patients and people with normal chest Xrays. The study is aimed at helping doctors in making decisions in their clinical practice due its high performance and effectiveness, the study also gives an insight to how transfer learning was used to automatically detect the COVID 19.
Air pollution and its health impacts in Malaysia: a review
Venue: Air Quality, Atmosphere Health
Year: 2020

Air pollution is strongly tied to climate change. Industrialization and fossil fuel combustion are the main contributors leading to climate change, also being significant sources of air pollution. Malaysia is a developing country with a focus on industrialization. The preference of using private cars is a common practice in Malaysia, resulting in the after effects of haze and transboundary air pollution. Hence, air pollution has become a severe issue in Malaysia in recent times. Exposure to air pollutants such as ozone and airborne particles is associated with increases in hospital admissions and mortality. For the past few years, the focus of the research is moving towards air quality and the impacts of air pollution on health in Malaysia. In this study, we establish the definition of air pollution, the motivation to study it, and its impacts and sources of air pollution and climate change. We discuss the air quality monitoring system in Malaysia and compare Malaysian ambient air quality standards with global standards. We also look comprehensively on the health impacts of air pollution globally and in the Malaysian context. We discuss where the health impact studies in Malaysia are lacking and what are the gaps in the research. The role of the Malaysian government concerning air pollution and its impacts is discussed. Lastly, we look into the future work and research opportunities with a focus on engineering, estimation, predictive models and lack of research projects.
Non timber Forest Product Use and Market Chains Along a Deforestation Gradient in Southwest Malawi
Venue: Front. For. Glob. Change
Year: 2019

The importance of non timber forest products (NTFPs) to rural livelihoods is widely acknowledged globally, as is the income generated from casual or fulltime trade in NTFPs on village and urban markets. However, there is less understanding of how the condition or status of the neighbouring landscapes and vegetation influence the use of and trade in NTFPs. Here we report on the use and trade in NTFPs in four villages situated along a gradient of decreasing forest cover in southwest Malawi using a mixed methods approach. Data were sourced via a survey of 286 households, value chain analysis of the four most commonly traded NTFPs (thatch grass, edible orchids, mushrooms and wild fruits) key informant interviews with NTFP traders and direct observations. All households used at least one NTFP, with the most widely used ones being firewood (100% of households) bamboo (96% thatch grass (94% and timber for construction (92% Overall, 15% of households sold at least one NTFP and the prevalence of selling within a village was correlated with forest cover, whereas buying of NTFPs was inversely correlated with forest cover. There was a wide range in mean annual income per product (US$20 456) from selling NTFPs based on the product, whether the trader sold on a casual or full time basis and the market. Of those households selling NTFPs, approximately two thirds sold more than one NTFP product, which is rarely recognised in income studies of individual single market chainsNTFP products. The returns to labour were variable between villages and products, but were generally double or more than the national minimum hourly wage. The NTFP value chains were short, dominated by traders and some intermediaries. Most of the products were sold in local markets with little value addition other than sorting and grading. Overall, NTFPs were an integral part of the household economy, with multiple participants and users, partly shaped by the forest cover of the surrounding landscapes.
Una aproximacion al estudio de los eventos de movimiento metaforico desde la tipologia semantica y el genero
Year: 2014

Talmy (1991, 2000) clasifica las lenguas en dos tipos, de marco verbal y marco de satelite, segun donde codifiquen el componente del Camino en la expresion verbal de un evento de movimiento. Las diferencias de codificacion entre estas lenguas se reflejan en el uso en linea de los hablantes, lo que hace que su estilo retorico sea diferente aunque describan un mismo evento (Slobin 1996) La mayoria de los estudios en este campo, se ha centrado, por un lado, en el movimiento fisico y, por otro lado, ha tomado como base empirica datos con un contexto muy limitado. Este articulo analiza la lexicalizacion de los eventos de movimiento metaforicos en textos pertenecientes a generos especificos. Partiendo de un corpus de 600.000 palabras que incluye resenas de arquitectura, tenis y catas de vino en espanol e ingles, se investiga (a) si las diferencias de lexicalizacion y de estilo retorico entre el espanol y el ingles en los eventos de movimiento planteadas en estudios anteriores se mantienen en generos no narrativos y, (b) si la idiosincrasia de cada genero tiene consecuencias tipologicas que afectan a la creatividad y la expresividad en la descripcion de los eventos de movimiento metaforicos.
Motion and operation planning of robotic systems background and practical approaches
Year: 2015

Path Planning and Trajectory Planning Algorithms: A General Overview. Off Line and Real Time Planning Strategies. Grasping and Manipulation of Unknown Objects Based on Visual and Tactile Feedback. Obstacle Avoidance with Industrial Robots. Planning Automatic Surgical Tasks for a Robot Assistant. Motion Planning Using Fast Marching Squared Method. Car like Robots Maneuver Generation. Motion Planning of a Spherical Mobile Robots. Online Walking Pattern Generation Using FFT for Humanoid Robots. Hexapod Walking Robot Locomotion. Robotic Manipulation within the Underwater Mission  A Use Case for Benchmarking.
Molar incisor hypomineralization: current research evidences
Year: 2016

Molar Incisor Hypomineralization (MIH) is a condition of systemic origin that involves one to four first permanent molar teeth and often associated with affected incisors. Although several associations to prenatal/perinatal childhood medical conditions have been reported, the etiology of MIH still remains unclear. The degree of enamel hypomineralization in the affected teeth can vary and the clinical problems associated with the teeth include increased susceptibility to caries, rapid wear, and post eruptive enamel breakdown. Affected teeth are extremely challenging to treat as the enamel is porous, sensitive and treating clinicians might encounter great difficulty in achieving profound anaesthesia. The first part of thispresentation will give an update on prevalence, potential etiological factors, and management strategies of this condition. The second part of the presentation will cover a systematic review results on bonding strategies to hypomineralized enamel.
A novel constraint and non standard characteristics for optimal over current relays coordination to enhance microgrid protection scheme
Venue: IET Generation, Transmission Distribution
Year: 2019

Over the last few decades, the inverse over current protection scheme has been one of the most common schemes utilised in protecting the distribution networks (DNs) Although over current relays (OCRs) give an excellent protection in extreme failure situations, but continuous integration of distributed generation (DG) and the multi looped structure of modern DN has made it difficult for the existing industrial OCR's to secure suitable coordination between the different OCR's. The problem of coordinating over current schemes in the presence of DG needs a complementary between the optimisation techniques employed and the limitation of the manufactured relays existed in the DN for proper discrimination between OCRs. This study investigates the influence of excessive fault current due to DG penetration on conventional IEC characteristics. A novel constraint had been proposed to be added to the formula of the coordination problem taking into consideration the limitation of conventional IEC tripping characteristics utilised in nowadays numerical relays. Furthermore, a new non standard tripping characteristic is suggested to increase the applicability of the optimisation techniques with the existing OCR's. A benchmark IEC microgrid is implemented in ETAP Package. The genetic algorithm is employed to investigate the effectiveness of the two proposed approaches to the conventional optimisation techniques in different operational modes.