nils-herrmann/clean_scirepeval huggingface dataset:
Products classification in emotional design using a basic emotion based semantic differential method
Year: 2012

Consumer's emotional requirements, or the so called Kansei needs, have become one of the most important concerns in product design nowadays. In this regard, the semantic differential (SD) method has been widely used in emotional product design and Kansei engineering to address the relationships between emotions and products. However, the conventional SD method assumes that the survey participants' understandings on Kansei adjectives or tags are consistent, which might not be true for all design cases. As a result, classification of products using Kansei tags may not reflect a consumer's genuine opinions. Accordingly, a basic emotion based semantic differential method is proposed in this work. The proposed method improves the conventional SD method by taking variances of Kansei tags into consideration for better products classification in emotional design. It incorporates basic emotion systems to identify Kansei variance and mapping functions in determining transformed values on Kansei tag dimensions. Therefore, the adjusted Kansei mean values, which help classify products using Kansei tags, are obtained. The proposed approach is presented and illustrated using a case study of perfume bottle design. The results reveal that the proposed method is promising for handling product classifications in emotional design. Relevance to industry This study presents a generic method to establish the relationships between consumers' Kansei needs and products for new product development. The knowledge gained from the method is beneficial in assisting the mapping of product domain into Kansei domain when applying Kansei engineering. Especially it helps to suggest a quantified range of each Kansei tag for product designers so that the links between products and Kansei requirements can be more clarified to them. It appears that the proposed method can be utilized to better classify products under Kansei tags as well as to facilitate decision making in practical industrial design cases.
Research Progress on Anti tumor Activity of Lactic Acid Bacteria
Year: 2011

The gastrointestinal tract is a complex environment with a diverse microbial community and the probiotic lactic acid bacteria is among the normal flora.Probiotics have been shown to promote the intestinal barrier function and immune responses and to interfere with metabolism of tumor cells,preventing and treating a variety of cancers.The development of biological agents of lactic acid bacteria with the effect of anti tumor is the foundation of enhancing the biological anti cancer technology and accelerating the drug upgrading for cancer treatment.
'It's teaching but not as we know it' using participatory learning theories to resolve the dilemma of teaching in play based practice
Year: 2019

Against a backdrop of 'play' as the established notion of best practice in early childhood education, this paper sets out to trouble the discourse by exposing for critique the place of teaching within a play based curriculum. The paper reports on lessons gleaned from a longitudinal play based intervention in over 100 primary schools in Northern Ireland. Participatory learning theories (PLTs) [Hedges, H. Cullen, J. (2012) Participatory learning theories: a framework for early childhood pedagogy. Early Child Development and Care, 182(7) 921 940] are used as the theoretical lens through which the views and practices of teachers have been mapped. The findings highlight how participatory models of learning can illuminate differences between early years practitioners, with many teachers tending to adopt either an overly passive or directed stance in the play experience. In light of the collated evidence, the authors propose an innovative pedagogical framework of what teaching might look like in play based practice.
SYNTHESIS, CHARACTERIZATION AND THERMAL DEGRADATION STUDIES OF COPOLYMER DERIVED FROM 2, 4 DIHYDROXY PROPIOPHENONE AND 4 PYRIDYLAMINE
Year: 2019

1Department of Chemistry, Jagat Arts, Commerce and IndirabenHariharbhai Patel Science College, Goregaon, Dist Gondia 441801 2Department of Chemistry, Dr. Ambedkar College of Arts, Commerce and Science Deekshabhoomi, Chandrapur 442404, Maharashtra, India 3Department of Chemistry, Govt. Bilasa Girls PG College, Bilaspur 495001, Chhattisgarh, India 4Department of Chemistry, Kamla Nehru Mahavidyalaya, Nagpur 440024, India
Method and device for magnetic suspension control moment gyroscope repeatable locking
Year: 2012

The invention discloses a method and a device for magnetic suspension control moment gyroscope repeatable locking. The device comprises a gyroscope case component (1) protective bearing components (2A and 2B) a sealed metal airbag cavity (3) and an inflation and deflation system (4) According to the method and the device, the structure that high pressure gas is filled into a metal thin shell is utilized, power is generated through changes of gas pressure, displacement is generated through elastic deformation of a bellows, an axial gap between a flywheel rotor and the gyroscope case component can be directly eliminated, the flywheel rotor is connected with the gyroscope case component into a whole, and the result that the flywheel rotor is locked is achieved.
Two sided platforms, heterogeneous tastes, and coordination
Year: 2020

This paper studies duopolistic price competition in a two sided market with positive and negative indirect network externalities on both sides. I develop a model in which the externality is positive for some agents and negative for the others on each side. The paper shows that (i) a platform in equilibrium attracts a larger number of agents on both sides if the proportion of agents who incur a negative externality is small and (ii) each platform in equilibrium obtains a larger market share on one side and a lower market share on the other side if the proportion is large. Social welfare is not maximized in these equilibria because the platform with the lower market share on each side attracts too many agents in the former case while each platform attracts too many agents on the side with a lower market share in the latter case.
Novelty and diversity enhancement and evaluation in recommender systems and information retrieval
Venue: SIGIR
Year: 2014

The development and evaluation of Information Retrieval and Recommender Systems has traditionally focused on the relevance and accuracy of retrieved documents and recommendations, respectively. However, there is an increasing realization that accuracy alone might be a sub optimal strategy for a successful user experience. Properties such as novelty and diversity have been explored in both fields for assessing and enhancing the usefulness of search results and recommendations. In this doctoral research we study the assessment and enhancement of both properties in the confluence of Information Retrieval and Recommender Systems.
Marketing of halal meat in the United Kingdom: Supermarkets versus local shops
Year: 2008

The purpose of this paper is to explore a number of marketing issues, such as consumer buyer behaviour and distribution channels, in relation to buying halal meat (HM) from local shops versus supermarkets in the UK.Design/methodology/approach A consumer survey (300 participants) and observation of three local halal shops and a Morrisons supermarket were successfully undertaken in London, Brighton and Edinburgh. The majority of UK Muslims do not trust big supermarkets when buying HM. They will only trust a Muslim selling halal products in their local shops. Most respondents did not know that supermarkets in their local area sold HM.Research limitations/implications In order to increase the sales of HM ranges, supermarkets need to improve their marketing efforts, for example by advertising in Islamic newspapers, mosques and other relevant sources. Supermarkets need to stock other complementary halal products to get a mass response from this market segment, as well as enhancing/improving their services, for example, there should be sales people who are able to advise customers on particular halal products. The study reveals that the majority of UK Muslims are at odds with most UK shoppers and increasingly prefer to shop at small shops, rather than big supermarkets. The paper helps to emphasise the major issues that frame the current state of marketing HM in the UK; contributes to a better understanding of such an important customer sector; and raises the necessary commitment to restructuring HM business activities in the UK and Europe.
Creation of an Alt Left Boogeyman: Information Circulation and the Emergence of 'Antifa'
Venue: Platforms, Protests, and the Challenge of Networked Democracy
Year: 2020

After 2016, how did antifa become known as one of the biggest threats in America? This chapter tracks data from social media and both mainstream and alternative narrative sources to begin charting the rise, circulation, and velocity of the legend of a thuggish antifa threat. Tracing the creation of the antifa narrative allows the authors to construct a picture revealing how these three particular kairotic moments were leveraged to turn protesters into violent actors threatening democracy, and how left leaning ideas will always be subsumed or overwhelmed in current media models.
A Time Driven Data Placement Strategy for a Scientific Workflow Combining Edge Computing and Cloud Computing
Venue: IEEE Transactions on Industrial Informatics
Year: 2019

Compared to traditional distributed computing environments such as grids, cloud computing provides a more cost effective way to deploy scientific workflows. Each task of a scientific workflow requires several large datasets that are located in different datacenters, resulting in serious data transmission delays. Edge computing reduces the data transmission delays and supports the fixed storing manner for scientific workflow private datasets, but there is a bottleneck in its storage capacity. It is a challenge to combine the advantages of both edge computing and cloud computing to rationalize the data placement of scientific workflow, and optimize the data transmission time across different datacenters. In this study, a self adaptive discrete particle swarm optimization algorithm with genetic algorithm operators (GA DPSO) was proposed to optimize the data transmission time when placing data for a scientific workflow. This approach considered the characteristics of data placement combining edge computing and cloud computing. In addition, it considered the factors impacting transmission delay, such as the bandwidth between datacenters, the number of edge datacenters, and the storage capacity of edge datacenters. The crossover and mutation operators of the genetic algorithm were adopted to avoid the premature convergence of traditional particle swarm optimization algorithm, which enhanced the diversity of population evolution and effectively reduced the data transmission time. The experimental results show that the data placement strategy based on GA DPSO can effectively reduce the data transmission time during workflow execution combining edge computing and cloud computing.
ELP z and ELP zz capturing scaffolds for the purification of immunoglobulins by affinity precipitation.
Venue: Journal of biotechnology
Year: 2013

The increasing demand of monoclonal antibodies for therapeutic applications along with the high manufacturing cost have made it necessary to evaluate better process options and technologies for their purification. Affinity precipitation is an attractive alternative to traditional chromatographic methods by affording effective purification using a simple environmental trigger. The feature of elastin like protein (ELP) fused with antibody binding domains has already been explored for the purification of antibodies. However, ELP when fused with the bulkier domains such as Protein A, resulted in lower protein production. In this study, ELP was fused to smaller synthetic IgG binding domains such as the z or zz domain, resulting in up to 10 fold higher level of production. Both ELP z and ELP zz bind tightly to human immunoglobulin (HIgG) with a dissociation constant of 768+ 142 nM and 68+ 23 nM, respectively. Owing to the higher binding affinity, the use of ELP zz resulted in more than 99% recovery of HIgG in four repeated binding and elution cycles with no observable decrease in the purification performance. The same binding and elution cycle was successfully implemented for the purification of monoclonal antibodies from hybridoma culture supernatant with close to 100% recovery.
Reward System and Its Impact on Employee Motivation in Commercial Bank of Sri Lanka Plc, in Jaffna District
Year: 2011

Increasingly, organizations are realizing that they have to establish an equitable balance between the employeeaEUR(tm)s contribution to the organization and the organizationaEUR(tm)s contribution to the employee. Establishing this balance is one of the main reasons to reward employees. Organizations that follow a strategic approach to creating this balance focus on the three main components of a reward system, which includes, compensation, benefits and recognition. Studies that have been conducted on the topic indicates that the most common problem in organizations today is that they miss the important component of Reward, which is the low cost, high return ingredient to a well balanced reward system. A key focus of recognition is to make employees feel appreciated and valued. Research has proven that employees who get recognized tend to have higher self esteem, more confidence, more willingness to take on new challenges and more eagerness to be innovative. The aim of this study is to investigate whether rewards and recognition has an impact on employee motivation. A biographical and Work Motivation Questionnaire was administered to respondents. The results also revealed that staff, and employees from non white racial backgrounds experienced lower levels of rewards, and motivation. Future research on the latter issues could yield interesting insights into the different factors that motivate employees. Notwithstanding the insights derived from the current research, results need to be interpreted with caution since a convenience sample was used, thereby restricting the generalisability to the wider population.
Intraoperative iodinated contrast swallow with CT scan delayed control for detection of early complications in laparoscopic gastric bypass: A case series of 260 cases
Year: 2017

Roux en Y Gastric Bypass (LRYGB) is a technically challenging operation with potentially severe surgical complications. A large number of tests have been proposed in order to early identify them in the immediate post operative period but none was completely satisfactory. Actually, there is no data concerning the use of an early diagnostic protocol based on an intraoperative contrast swallow and a CT scan at 48 h.  From may 2012 to February 2017, 281 patients underwent LRYGB. A 40 cc of iodinated water soluble contrast (Gastrografin (r) or Telebrix (r) was administered through the orogastric tube 5 min after the blue methylene test while 48 h later, they underwent a CT scan. The early detection of the contrast liquid in the alimentary or bilio pancreatic limb, in proximity of it or free in the abdomen were considered signs of bowel obstruction or anastomotic leak. Results 220 were test negative while 35 patients were positive and a second look was carried out successfully. Considering our data, sensitivity was 0,97 (CI 95% 91,85 100% while specificity stated at 0,98 (CI 95% 96,48 99,95% The positive predictive value was 0,89 (CI 95% 80,22 99,27% and the negative predictive value was 0,99 (CI 95% 98,66 100%  This study gives a contribute to the existing issue of fast track in bariatric surgery for the early diagnosis of complications and patients' readmission or non discharge. In conclusion, the use of intraoperative iodinated water soluble contrast swallow and abdominal CT scan at 48 h was a safe and accurate test in order to detect and treat any potential early surgical complication in LRYGB.
Hacking Blind
Venue: 2014 IEEE Symposium on Security and Privacy
Year: 2014

We show that it is possible to write remote stack buffer overflow exploits without possessing a copy of the target binary or source code, against services that restart after a crash. This makes it possible to hack proprietary closed binary services, or open source servers manually compiled and installed from source where the binary remains unknown to the attacker. Traditional techniques are usually paired against a particular binary and distribution where the hacker knows the location of useful gadgets for Return Oriented Programming (ROP) Our Blind ROP (BROP) attack instead remotely finds enough ROP gadgets to perform a write system call and transfers the vulnerable binary over the network, after which an exploit can be completed using known techniques. This is accomplished by leaking a single bit of information based on whether a process crashed or not when given a particular input string. BROP requires a stack vulnerability and a service that restarts after a crash. We implemented Braille, a fully automated exploit that yielded a shell in under 4,000 requests (20 minutes) against a contemporary nginx vulnerability, yaSSL MySQL, and a toy proprietary server written by a colleague. The attack works against modern 64 bit Linux with address space layout randomization (ASLR) no execute page protection (NX) and stack canaries.
Rate of uniform consistency for a class of mode regression on functional stationary ergodic data
Venue: Stat. Methods Appl.
Year: 2017

The aim of this paper is to study the asymptotic properties of a class of kernel conditional mode estimates whenever functional stationary ergodic data are considered. To be more precise on the matter, in the ergodic data setting, we consider a random elements (X, Z) taking values in some semi metric abstract space $E\times F$$ExF. For a real function \varphi $ph defined on the space F and $x\in E$$xE, we consider the conditional mode of the real random variable \varphi (Z)$ph(Z) given the event "$X=x$$X=x" While estimating the conditional mode function, say \theta _\varphi (x)$thph(x) using the well known kernel estimator, we establish the strong consistency with rate of this estimate uniformly over Vapnik Chervonenkis classes of functions \varphi $ph. Notice that the ergodic setting offers a more general framework than the usual mixing structure. Two applications to energy data are provided to illustrate some examples of the proposed approach in time series forecasting framework. The first one consists in forecasting the daily peak of electricity demand in France (measured in Giga Watt) Whereas the second one deals with the short term forecasting of the electrical energy (measured in Giga Watt per Hour) that may be consumed over some time intervals that cover the peak demand.
Dietary Guidelines to Reduce the Risk of Renal Stones
Year: 2018

Kidney stones (urolithiasis or calculi) are found to be lodged in the urinary tract namely kidney, ureters, bladder or urethra. The production of protein metabolism leaves uric acid, phosphate and oxalates, sodium, calcium and magnesium. A urine concentrate with calcium phosphate and ammonium phosphate predisposes stone formation. The occurrence of kidney stone may be an outcome of different nutritional status, dietary habits and environmental factor such as temperature and humidity and other factors of occupation, infection of urinary tract, hereditary, vitamin A and vitamin B6 deficiency and hyperthyroidism. Dietary guidelines deals the foods included and avoided specifically based on the types of stones.
The effect of milk based foliar sprays on yield components of field pumpkins with powdery mildew
Year: 2007

Previous work has shown that foliar applications of mixtures of cow's milk and water are effective in preventing powdery mildew Podosphaera xanthii of zucchini on greenhouse grown plants. Our own work on field grown pumpkins indicated that the efficacy of such foliar sprays is highly variable. This study is an attempt to measure the effect of milk based sprays on the yield components of field grown pumpkins naturally infected with powdery mildew. Pumpkins Cucurbita pepo cv. Howden) were grown for five seasons (2000 2004) at Lockwood Farm in Hamden, Connecticut under a wide range of environmental conditions and inoculum pressure. The experimental design consisted of five spray treatments arranged in 5x5 Latin squares. In order to minimize over spray and interplot interference, an unsprayed buffer planting of a susceptible cucurbit separated replicates. Spray treatments were a conventional chemical control, no spray, 1% NaHCO 3 (baking soda) and two milk based sprays. Powdery mildew severity and plant growth were evaluated over the course of each season and marketable yield before and after a 20 day storage period was taken each year. Treatments based on milk were, on average, about 50 70% as effective in reducing foliar symptoms and post harvest fruit rot and 40 50% as effective in increasing marketable yield as the chemical control. Skim milk was not as effective as whole milk, especially in rainy years. However, both milk treatments consistently outperformed baking soda indicating that the mechanism of milk based control of the fungus was not just based on its ability to buffer the pH of leaf surfaces.
A Novel Focal Tversky Loss Function With Improved Attention U Net for Lesion Segmentation
Venue: 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)
Year: 2019

We propose a generalized focal loss function based on the Tversky index to address the issue of data imbalance in medical image segmentation. Compared to the commonly used Dice loss, our loss function achieves a better trade off between precision and recall when training on small structures such as lesions. To evaluate our loss function, we improve the attention U Net model by incorporating an image pyramid to preserve contextual features. We experiment on the BUS 2017 dataset and ISIC 2018 dataset where lesions occupy 4.84% and 21.4% of the images area and improve segmentation accuracy when compared to the standard U Net by 25.7% and 3.6% respectively.
Role of oxygen in the polymerization and de polymerization of alginate produced by Azotobacter vinelandii
Year: 2015

Microbial polymers have diverse chemical structures, which determine their functional properties. Many microbial sources produce either intracellular or extracellular biopolymers. For example, Azotobacter vinelandii is a non pathogenic soil bacterium that produces alginate, an extracellular polysaccharide. Alginates are used mainly in the food and pharmaceutical industries as stabilizing, thickening, gel or film forming agents. Due to its characteristics of biocompatibility, biodegradability and non antigenicity, new applications for alginate are being discovered, such as biomaterial in the biomedical field and tissue engineering. It is well established that alginate is first synthesized as a polymannuronate from its cytosolic precursor. However, the mechanisms involved in the polymerization, modification (acetylation, epimerization and depolymerization) and translocation of alginate have been poorly elucidated. Two of the most important parameters in alginate production by A. vinelandii are dissolved oxygen tension (DOT) and the oxygen supply conditions, as these impact both the polymer concentration and its composition, particularly its molecular weight (MW) Several studies have revealed that increased alginate molecular weight occurs in oxygen limited conditions, specifically at oxygen concentrations near zero. This article reviews recent studies examining the influence of oxygen, under limitation (microaerophilic) and non limitation conditions (measured as DOT and oxygen transfer rate, OTR) on the polymerization and degradation of alginate produced by A. vinelandii. This review also provides evidence for understanding these processes at the cellular level and the effect of oxygen on alginate biosynthesis.