nils-herrmann/clean_scirepeval huggingface dataset:
Cost sharing models for green product production and marketing in a food supply chain
Venue: Ind. Manag. Data Syst.
Year: 2018

The purpose of this paper is to explore the coordination mechanism of cost sharing for green food production and marketing between a food producer and a supplier who both contribute to the sales of green food.,This paper first develops demand functions for both a food supplier and a producer, considering their influence on green degree of food and associated consumers' acceptances. Then, cost sharing contracts based game models are proposed. At last, regarding to optimal supply chain profits and green performance, the proposed contracts and the non coordination situation are compared and tested by a real case.,When green cost is only shared by one side, the cost sharing contracts cannot optimally coordinate the food supply chain, but it can improve profits for both the supplier and producer. When consumers' sensitivity to the green degree of food increases, a mutual cost sharing contract will bring more profits for both the supplier and producer than those under the non coordination mode in a decentralized supply chain situation. A real case verifies the conclusions.,The models are in complete information, and the market demand is assumed to be linear to sales price. Mutual cost sharing is only for material processing and food production, which can be extended to include sharing for sales cost. Coordination ideas on the proposed contracts development and solutions for optimal decisions can be applied in the other industries.,The study shows that coordination between a supplier and a producer is needed to improve the food supply chain's green performance.,This paper first extends the existing profit functions by considering the green efforts of both a supplier and a producer as well as their effects on green degree of products and consumers' acceptances to the green degree.
How users manipulate deformable displays as input devices
Venue: CHI
Year: 2010

This study is aimed at understanding deformation based user gestures by observing users interacting with artificial deformable displays with various levels of flexibility. We gained user defined gestures that would help with the design and implementation of deformation based interface, without considering current technical limitations. We found that when a display material gave more freedom from deformation, the level of consensus of gestures among the users as well as the intuitiveness and preferences were all enhanced. This study offers implications for deformation based interaction which will be helpful for both designers and engineers who are trying to set the direction for future interface and technology development.
Aging Adjusted Serum Levels of Parathyroid Hormone and 25 Hydroxyvitamin D in Outpatients of a Tertiary Care Center using Generalized Additive Models for Location, Scale, and Shape
Year: 2020

Evaluate serum concentrations of 25 hydroxyvitamin D (25OHD) calcium and parathyroid hormone (PTH) in samples obtained from a tertiary hospital, and establish the relationship between them, adjusted for age.  Cross sectional study, samples by convenience from all 25OHD ordered for outpatients in one year, excluding clinical trials, research protocols, chronic kidney or liver diseases. Calcium corrected for albumin, PTH and 25OHD were measured. 25OHD levels were classified as deficiency 30 ng/ml) The relationship between PTH and 25OHD adjusted by age was studied using the semi parametric GAMLSS regression model (generalized additive models for location, scale, and shape)  Samples from 1,031 subjects (82% female, age 53.1 18.4 years) were included, mean 25OHD level was 26.6 13.4 ng/mL, 321 (31.1% patients were vitamin D deficient, and 409 (39.7% insufficient. 25OHD had a seasonal variation, with lower levels in winter and spring and higher in summer and fall. PTH was elevated in 393 (38.6% patients, from these, 2.5% were hypercalcemic and classified as primary hyperparathyroidism (HPT) 19.1% as normocalcemic primary HPT, and 78.4% as secondary HPT. The association of PTH and 25OHD adjusted by age showed that PTH decreased up to the 25OHD level close to 40 ng/mL and remained constant after 45 ng/mL.  Outpatients from a tertiary hospital had a high prevalence of vitamin D deficiency, which was influenced by seasonality, the PTH plateau was at a 25OHD level of 40 ng/mL when corrected for age.
Video segmentation and summarization based on Genetic Algorithm
Venue: 2011 4th International Congress on Image and Signal Processing
Year: 2011

This paper presents a Binary Genetic Algorithms (BGA) based video summarization system. The similarity functions are first defined to evaluate segmentation, which are extremely expensive to be optimized with traditional methods. Then the system employs binary crossover and mutation operators to get the meaningful summary in a video search space. In order to test performance of the BGA method, we first compare the BGA method with Decimal Genetic Algorithms (DGA) method. The obtained results show that it is more quickly to find the best results for BGA than DGA. Second, the BGA method and the uniform approach have been compared. Experimental results show that the BGA method can capture more information than the uniform method and reduce redundancy.
A STUDY ON EFFECTS OF YOGA AND ACADEMIC ACHIEVEMENT OF HIGH SCHOOL STUDENTS
Year: 2018

The article focuses on assessing facts of a study on effects of yoga and academic achievement of high school students' Transcendental meditation reduces stress and improves academic performance mentally causes increased alertness, and the practice of yoga brings improvement in competitive performance. It is inferred from the present investigation that all the high school students have average level of effect of yoga with respect to all the background variables under study. It was proved that students under consideration scored higher grades and had lower stress level as compared to the other students who do not practice yoga.
Configuration of Self Mythology Through Trauma Studies in Paul Auster's Invention of Solitude
Year: 2019

Auster's first novel The Invention of Solitude was significant, in that it not only catalogued his own experiences, but also provided one of the earliest examples of the psychological processes involved in trauma and memory storage. It demonstrates the self's psychological use of the Ego, in a classical sense, to negotiate between emotional response and reality, in order to create meaning around a set of events. More specifically, the death of Auster's father operates as a catalyst for the author's journey of self discovery, which is richly tied to the psychoanalytical principles of Freud and Lacan, and which ultimately allows him to fully appreciate his experience of loss, by supporting the wish fulfillment related to his relationship with his father, and his need to understand the rejection he perceives suffering as a child. This highlights the difference between the inner child's ego centric or narcissistic perception, and the adult's ability to rationalize, especially as it relates to memory and unfulfilled need.  Paul Auster, psychoanalysis, trauma, memory, self myth
A comprehensive survey of augmented reality assembly research
Year: 2016

In the past two decades, augmented reality (AR) has received a growing amount of attention by researchers in the manufacturing technology community, because AR can be applied to address a wide range of problems throughout the assembly phase in the lifecycle of a product, e.g. planning, design, ergonomics assessment, operation guidance and training. However, to the best of authors' knowledge, there has not been any comprehensive review of AR based assembly systems. This paper aims to provide a concise overview of the technical features, characteristics and broad range of applications of AR based assembly systems published between 1990 and 2015. Among these selected articles, two thirds of them were published between 2005 and 2015, and they are considered as recent pertinent works which will be discussed in detail. In addition, the current limitation factors and future trends in the development will also be discussed.
Task based language learning and teaching: An action research study
Year: 2015

The creation, implementation, and evaluation of language learning tasks remain a challenge for many teachers, especially those with limited experience with using tasks in their teaching. This action research study reports on one teacher's experience of developing, implementing, critically reflecting on, and modifying a language learning task to better address the needs of her students in an adult refugee English program. Task evaluation involved a response based comparison of student success in task completion and qualitative student based results. The results noticeably improved after the task modification and the successful implementation of the modified task led to changes in how the teacher viewed task based teaching. The study serves as an example of how teachers can create their own tasks and of the importance of evaluating them empirically. The article concludes with the importance of action research as a means by which language teachers can address problems that arise in task based instruction.
Mapping for Indoor Walking Path Using Mobile Laser Scanning
Year: 2020

Walkability is one of the keys in developing a sustainable city. These days, many cities have considered enhancing walkability for pedestrian paths to ensure the seamless walking experience for people to reach their destination. Therefore, it is very important to have a good walking environment so people will find walking pleasant. However, there was a lack of studies attempting to include indoor walking environments in their walkability analysis. Most of them only consider outdoor walking paths. This might be due to the difficulties in modelling the indoor walking environment. With the advance technology of laser scanning, it might be possible to develop an indoor walking path by using point clouds collected for a building. The usage of point clouds could make it easier to segment the building elements and obstacles in an indoor environment. In order to produce an indoor map, it is important to reconstruct the building elements such as wall, ceiling, window and door. Therefore, this paper aims to generate the indoor walking path using laser scanning point clouds showing all the options to the pedestrians.
NPCR and UACI Randomness Tests for Image Encryption
Year: 2011

The number of changing pixel rate (NPCR) and the unified averaged changed intensity (UACI) are two most common quantities used to evaluate the strength of image encryption algorithms/ciphers with respect to differential attacks. Conventionally, a high NPCR/UACI score is usually interpreted as a high resistance to differential attacks. However, it is not clear how high NPCR/UACI is such that the image cipher indeed has a high security level. In this paper, we approach this problem by establishing a mathematical model for ideally encrypted images and then derive expectations and variances of NPCR and UACI under this model. Further, these theoretical values are used to form statistical hypothesis NPCR and UACI tests. Critical values of tests are consequently derived and calculated both symbolically and numerically. As a result, the question of whether a given NPCR/UACI score is sufficiently high such that it is not discernible from ideally encrypted images is answered by comparing actual NPCR/UACI scores with corresponding critical values. Experimental results using the NPCR and UACI randomness tests show that many existing image encryption methods are actually not as good as they are purported, although some methods do pass these randomness tests.
Political Speech Generation
Venue: ArXiv
Year: 2016

In this report we present a system that can generate political speeches for a desired political party. Furthermore, the system allows to specify whether a speech should hold a supportive or opposing opinion. The system relies on a combination of several state of the art NLP methods which are discussed in this report. These include n grams, Justeson Katz POS tag filter, recurrent neural networks, and latent Dirichlet allocation. Sequences of words are generated based on probabilities obtained from two underlying models: A language model takes care of the grammatical correctness while a topic model aims for textual consistency. Both models were trained on the Convote dataset which contains transcripts from US congressional floor debates. Furthermore, we present a manual and an automated approach to evaluate the quality of generated speeches. In an experimental evaluation generated speeches have shown very high quality in terms of grammatical correctness and sentence transitions.
Correction of vaginal dysbiosis in mice caused by a film forming strain Staphylococcus aureus, using bacteriophages and probiotics
Year: 2017

The complex use of bacteriophages and probiotics is a promising trend in improving prevention and treatment of gynecological lesions. Our study of their influence on the microflora was performed on the model of vaginal dysbiosis of white laboratory mice induced by introduction of a filmforming strain of Staphylococcus aureus For correction of dysbiosis, staphylococcal bacteriophage liquid, piobacteriophage polyvalent, intesti bacteriophage liquid and probiotic "Vahilak" were used. For the identification of the microflora of the reproductive tract, samples of biological material from the vagina were obtained by sterile cotton swab and plated on nutrient media to determine the nature and extent of growth of the cultures. The maximal effect was found to occur with the correctional complex "bacteriophage staphylococcal liquid vahilak" that led to decrease of total microbial number to 4.77 x 10 4 CFU/ml and to the restoration of the ratio of aerobic to anaerobic bacteria 1 52 when indicators of the norm were 4,69 x 10 4 CFU/ml and 1 52. In this case, 24 hours after the last injection of the preparations the amount of microaerophilic and anaerobic lactobacilli had increased by 20.8 and 2.1 times respectively. The frequency of isolation of microaerophilic lactobacilli increased to 100% and anaerobic up to 70% Also the number of staphylococci, streptococci, enterococci, bacilli and enterobacteria decreased by 30.1, 1.1, 1.5, 2.2 and 11.8 times respectively. Also, there was a decrease in the detection rate of enterococci, micrococci and enterobacteria by 10% and bacilli by 20% compared to the control dysbiosis. The number of anaerobic bacteria also underwent significant changes. Thus, the number of fusobacteria decreased by 33.2 times, peptococci 2.3, peptostreptococci 6.6 and Bacteroides 7.9 times, which is almost consistent with indicators of the norm. In addition, the frequency of detection of peptostreptococci decreased by 10% Therefore, it can be concluded that medical bacteriophages are active against lesions caused by able to film forming staphylococci, in vivo so they are appropriate to use in medical practice both independently and in combination with other agents.
Role of medicinal plants in HIV/AIDS therapy
Venue: Clinical and experimental pharmacology physiology
Year: 2019

Human immunodeficiency virus (HIV) causes the potentially life threatening and chronic disease called acquired immune deficiency syndrome (AIDS) The main target of this viral disease is to suppress the immune system and make the body unresponsive to external stimuli. According to global health observatory data since epidemic, more than 78 million people were affected by HIV and 39 million people died globally. Until 2017, 36.5 million people were living with HIV. An estimated 0.8% (0.6% 0.9% of adults aged 15 49 years worldwide is living with HIV. The World Health Organization (WHO) reported that the African region remains most severely affected, with nearly one in every 25 adults (4.1% living with HIV and accounting for nearly two thirds of the people living with HIV worldwide. WHO reported that globally only 21.7 million (19.1 million 22.6 million) people have had access to antiretroviral therapy up to 2017. Currently, antiretroviral therapy (ART) is available for the control of HIV but has serious associated side effects such as lipodystrophy. Because of the limitations, associated with ART, researchers throughout the world are trying to explore and develop more reliable and safe drugs from natural resources to manage HIV infection. A wide range of medicinal plants have been studied and have reported significant potential against HIV. Plants like Rheum palmatum L. Rheum officinale, Trigonostem axyphophylloides, Vatica astrotricha, Vernonia amygdalina, Hypoxias pelargonium, Sidoides hemerocallidea and Sutherlandia frutescens etc. have high efficacy to cure HIV. The exact mechanism of action is still not known but various phytoconstituents isolated from medicinal plants such as alkaloids, flavonoids, polyphenols, terpenoids, tannins, proteins and coumarins have the potential to interrupt the life cycle of HIV as well as act as immunomodulators to enhance the immune system of infected patients with no well reported side effects. It could be concluded that medicinal plants have potential for the management of HIV/AIDS but more studies are needed to reveal rigorous efficacy and safety concerns by conducting clinical trials at vast level to explore therapeutic impact of medicinal plants.
Automated web usage data mining and recommendation system using K Nearest Neighbor (KNN) classification method
Year: 2016

The major problem of many on line web sites is the presentation of many choices to the client at a time; this usually results to strenuous and time consuming task in finding the right product or information on the site. In this work, we present a study of automatic web usage data mining and recommendation system based on current user behavior through his/her click stream data on the newly developed Really Simple Syndication (RSS) reader website, in order to provide relevant information to the individual without explicitly asking for it. The K Nearest Neighbor (KNN) classification method has been trained to be used on line and in Real Time to identify clients/visitors click stream data, matching it to a particular user group and recommend a tailored browsing option that meet the need of the specific user at a particular time. To achieve this, web users RSS address file was extracted, cleansed, formatted and grouped into meaningful session and data mart was developed. Our result shows that the K Nearest Neighbor classifier is transparent, consistent, straightforward, simple to understand, high tendency to possess desirable qualities and easy to implement than most other machine learning techniques specifically when there is little or no prior knowledge about data distribution.
Significant Predictors of Employees' Motivation andEmployees' Job Satisfaction
Year: 2013

As Henry Ford noted in his autobiography "business is not a machine. It is a collection of people who are brought together to do work." In existing literature it is evident that soft approach of human resources is predominant since researches are more focusing on workers' satisfaction of the job and different aspects of job satisfactions in various businesses' environment rather than treating workers the same way as other resources are treated (hard approach) However, job satisfaction is a multifaceted construct. The most conventional aspects of satisfaction are: satisfaction with pay, promotion opportunities, co workers, supervision, and the work itself. Some researches examine model where passion and organizational commitment are important predictor of job satisfaction. The purpose of this research is to identify factor structures associated with Minnesota Satisfaction Questionnaire (MSQ) Organizational Commitment Questionnaire (OCQ) and Worker Motivation Questionnaire (WMQ) and to develop regression model that will be able to predict level of motivation (measured in hours) and workers satisfaction on the sample from Bosnia and Herzegovina. An online questionnaire was distributed to individuals by e mail (Google Survey Tool) A total of 63 surveys were obtained and analysed. Data screening, assumption testing and sampling adequacy was done according to Field (2005) All relevant tests (such as KMO) provide sufficient information to confirm that factor analysis is the appropriate technique for the sample. First regression model shows that passion affect motivation level (measured in hours) and it accounts for 47% in the variance of the hours people are motivated. However, other two independent variables (extrinsic and intrinsic motivation instruments) do not improve significantly model. Another model emerged from the collected data. Organizational commitment (both continuance and affective) seems to be a good predictor of extrinsic satisfaction of the workers. Implication of this is: if managers want to improve workers' satisfaction of the working environment, they should arouse workers emotions toward organization (affective commitment) and should increase costs of leaving the organization (continuance commitment) Further researches should be focused on discovering factors that could predict motivation level in Bosnian Herzegovinian environment. As it is already confirmed (in the literature as well as by this research) salary is not an important predictor of worker motivation and satisfaction. While passion seems to be the most important predictor of motivation, it is questionable what facets of passion are and how to measure them properly.  Job Satisfaction, Organization Commitment, Employees' Motivation, Regression Model, Bosnia And Herzegovina.
Constrained Iterative Feedback Tuning for Robust Control of a Wafer Stage System
Venue: IEEE Transactions on Control Systems Technology
Year: 2016

Iterative feedback tuning (IFT) enables the data driven tuning of controller parameters without the explicit need for a parametric model. It is known, however, that IFT can lead to nonrobust solutions. The aim of this paper is to develop an IFT approach with robustness constraints. A constrained IFT problem is formulated that is solved by introducing a penalty function. Essentially, the gradient estimates decompose into: 1) the well known IFT gradients and 2) the gradients with respect to this penalty function. The latter are obtained through a nonparametric model of the controlled system. This guarantees robust stability while only requiring a nonparametric model. The experimental results obtained from the motion control systems of an industrial wafer scanner confirm enhanced performance with guaranteed robustness estimates.
The Changes in Discourse on Sects in Modern China
Year: 2008

What is the evolution of official discourse on stigmatized religious groups in China, from the late 19th century until today? In imperial China, the state always defined itself as the upholder of orthodoxy against popular rebellions inspired by the heretical doctrines xiejiao. In the Peoples' Republic of China, from the 1950's to 80's, it was the label huidaomen, reactionary secret societies which was used by the Chinese Communist Party to stigmatize and repress hundreds of popular groups. But since the late 1990's, the term xiejiao reappeared in official discourse, translating the rhetoric of Western anti cult associations in order to justify the suppression of Falungong and other groups.
Hemigrammus tocantinsi: a new species from the upper rio Tocantins basin, Central Brazil (Characiformes: Characidae)
Year: 2010

Hemigrammus tocantinsi is described from the upper rio Tocantins basin, Chapada dos Veadeiros, Goias State, Central Brazil. The new species differs from its congeners by the presence of 15 17 branched anal fin rays, longitudinal stripe relatively narrow anteriorly and wider posteriorly, and one or two maxillary teeth. Sexual dimorphism of the new species is characterized by differences among the color in life, adipose fin origin, body measurements, in addition to presence of bony hooks in the anal and pelvic fins of males.