Miracle-dz/UniFAR-FTUs huggingface dataset:
Decreasing food loss and waste through supply chain management

Abstract Reducing food loss and waste across global supply chains is of utmost importance. Therefore the authors provide an overview of loss and waste causes of developing and developed countries first. Second, to synthesize current literature on waste management measures and to provide a measurement framework for reducing loss and waste through supply chain management, the authors conduct a systematic literature review. Thereby they investigate 215 studies from two different electronic databases. Third, four recommendations for future waste management research are given.
1 Predicting motor insurance claims using telematics 2 data-XGBoost vs . logistic regression 3

10 XGBoost is recognized as an algorithm with exceptional predictive capacity. Models for a binary 11 response indicating the existence of accident claims vs. no claims can be used to identify the 12 determinants of traffic accidents. We compare the relative performances of logistic regression and 13 XGBoost approaches for predicting the existence of accident claims using telematics data. The 14 dataset contains information from an insurance company about individuals’ driving patterns – 15 including total annual distance driven and percentage of total distance driven in urban areas. Our 16 findings show that logistic regression is a suitable model given its interpretability and good 17 predictive capacity. XGBoost requires numerous model-tuning procedures to match the predictive 18 performance of the logistic regression model and greater effort as regards interpretation. 19
Consequences of human behaviors ’ in Economic : the Effects of Behavioral Factors in Investment decision making at Tehran Stock Exchange

recent literature in empirical finance is surveyed in its relation to underlying behavioral principles, principles which come primarily from psychology, sociology and anthropology. In this study I investigated the role of behavioral finance and investor psychology in investment decision-making at the Tehran Stock Exchange with special reference to institutional investors. Using a sample of 23 institutional investors, the Behavioral factors discussed are: representativeness, overconfidence, anchoring, gambler’s fallacy, loss aversion, regret aversion and mental accounting affected the decisions of the institutional investors operating at the TSE. Keywords; Behavioral finance, institutional investor, Tehran Stock Exchange, Heuristic decision, Prospect theory
Tracing SARS-Coronavirus Variant with Large Genomic Deletion

kill, or sell food animals, and persons who prepare and serve food. (More than one third of the cases in China with onset of SARS before February 1, 2003, were in food handlers [3].); 2) public transportation workers and airline crew (4); and 3) laboratory workers handling samples or items contaminated with SARS-associated coronavirus (5). In Singapore, 2 taxi drivers were infected after ferrying SARS patients to healthcare facilities, and 1 Singapore Airlines cabin attendant came down with the infection after a flight with infected passengers on board. Occupationally acquired SARS infections have been documented in Singapore, Taiwan, and Beijing. Clearly, occupational health responses are needed in these occupational settings. The recognition of SARS as an occupational disease has broader implications. Depending on country legislation, persons who contract SARS while performing their work may be eligible for worker’s compensation. Employers would be obligated to provide a safe and healthy workplace for their employees.
The JeuxDeMots Project is 10 Years Old: What We have Learned

Here we present the assessment of 10 years of experience concerning the JDM project, a set of GWAPs for NLP, among which a main game combined with many satellite games aims to build a large lexical-semantic network for the French language. We highlight the lessons learned from this experience for creating lexical resources through a never ending process. We emphasize that combining automatic inference processes with player activity is particularly relevant to build such a resource.
DESIGN PARAMETERS OF 10 KW FLOATING SOLAR POWER PLANT Conference

The high energy demand and the constant depletion of the fossil fuels lead us to shift our focus to renewable energy sources which are not only the future unlimited source of energy, it is also eco-friendly and viable for the environment. Hydro and Wind though are renewable sources but are area specific. Solar energy on the other hand can be installed in any place. The major issue with the solar energy is the requirement of land which is scarcely available in the world and even costly to get. But floating solar plants can be installed in any water bodies which will not only reduce the cost of the land but will increase the amount of generation with the cooling effect of water. This paper concentrates upon the design parameters of the floating platform but will also focus upon the effect of panel shade on the ecosystem.
THE CASUAL RELATION BETWEEN BRANDS ’ EMOTIONAL ASPECTS AND BRAND LOYALTY AMONG SPORT CONSUMERS

This research is concerned with investigation of the relation between brands’ emotional aspects and brand loyalty among the consumers of sportswear brands in the city of Tehran. In terms of purpose, it’s an applied research and in terms of nature, it’s a correlative-casual research carried out under field methods. The population is consisted of the entire consumers of sportswear in the city of Tehran who purchase clothes with special and credible brands such as Adidas, Nike and Puma. Among the population, a number of 386 individuals were selected as the sample through a random sampling method. The data collection instrument was a standard questionnaire with calculated validity of 0.81 and a suitable level of reliability. Results were drawn through modeling of structural equations and the software of SPSS and Amos Graphics. Conclusions revealed that all three variables of brand passion, self-link and emotional attachment have positive and meaningful effects on brand loyalty among consumers. In addition, with respect to calculated route coefficients from the method of modeling structural equations, it can be said that the share of the variable of brand passion is more than the other two variables in consumers’ brand loyalty (the route coefficient is larger) and also the share of emotional attachment is less (the route coefficient is smaller) than two other variables.
ENSEMBLE-DERIVED BACKGROUND ERROR COVARIANCES FOR OPERATIONAL NWP

In this study several approaches for obtaining more accurate background error covariances for atmospheric data assimilation are explored. Experiments are conducted by replacing the covariances in the operational threedimensional variational analysis system (3D-var) at the Canadian Meteorological Centre. In the current system, these covariances are computed using the so-called NMC method that is known to suffer from several deficiencies. The background error correlations are also assumed to be horizontally homogeneous and isotropic. For this study, random samples of background error are generated by simulating (using a Monte Carlo approach) the error generated at each stage of the forecast-analysis process. The 3D-var is used to perform the analyses using perturbed observations and background field and consequently the approach is termed the “perturbed 3D-var”. As part of the approach two different methods for simulating model error are examined: (1) additive random error drawn from a specified Gaussian distribution and (2) random perturbations to the tendencies of the physical parametrizations of the forecast model. For both approaches a simple adaptive tuning procedure is employed to ensure the simulated background error variances are consistent with observation error variances and innovation variances. One of several strategies for estimating the full covariance matrix from a relatively small number of error samples is then employed. Approaches include the use of a wavelet representation and a spatially localized ensemble representation of the correlations. Both allow the usual assumptions of homogeneity and isotropy to be relaxed to some extent. Finally, a simple approach for the on-line tuning of the background error variances is employed. This is similar to the approach used to tune the model error variances in the perturbed 3D-var, except that the tuning is applied directly within the main analysis system without the need to run a parallel perturbed forecast-analysis cycle. The result is a slowly varying estimate of the background error variances obtained from the innovation variances computed at each analysis time.
Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images

Positron emission tomography (PET)-Computed tomography (CT) plays an important role in cancer management. As a multi-modal imaging technique it provides both functional and anatomical information of tumor spread. Such information improves cancer treatment in many ways. One important usage of PET-CT in cancer treatment is to facilitate radiotherapy planning, for the information it provides helps radiation oncologists to better target the tumor region. However, currently most tumor delineations in radiotherapy planning are performed by manual segmentation, which consumes a lot of time and work. Most computer-aided algorithms need a knowledgeable user to locate roughly the tumor area as a starting point. This is because, in PET-CT imaging, some tissues like heart and kidney may also exhibit a high level of activity similar to that of a tumor region. In order to address this issue, a novel co-segmentation method is proposed in this work to enhance the accuracy of tumor segmentation using PET-CT, and a localization algorithm is developed to differentiate and segment tumor regions from normal regions. On a combined dataset containing 29 patients with lung tumor, the combined method shows good segmentation results as well as good tumor recognition rate.
Bruce : An ASV Solution for the 2016 Maritime RobotX Challenge

This paper provides an overview of the hardware and software systems developed for Bruce, the Queensland University of Technology’s Autonomous Surface Vehicle (ASV) for entry in the 2016 Maritime RobotX Challenge. Bruce is a system-of-systems comprising the ASV, a self-contained underwater robot, and an automated vison-enabled ball launcher. An upgraded sensor suite and new mission software architecture to deal with information discovery and task sequencing built on the Robotic Operating System (ROS) has been developed to allow completion of all challenge tasks. To facilitate software development and offline testing, a highfidelity simulation model was developed and integrated with the software architecture. The ASV’s control, mapping, and taskspecific algorithms have been evaluated both in simulation and through field experiments. Results demonstrating capabilities as well as discussions on lessons learnt are also presented.
Transplantation of bone marrow mesenchymal stem cells reduces GluR 1 expression in the hippocampus and amygdala and affects secretion of stress-related hormones in rats with spinal cord injuries : a potential anti-chronic stress mechanism

There have been many studies about bone marrow mesenchymal stem cell (BMSCs) transplantation therapy for spinal cord injuries (SCI), achieving positive results both in laboratory and clinical applications. However, its exact repair mechanisms are still under investigation. The authors of this present study hypothesized that chronic stress plays an important role in SCI and investigated a potential anti-chronic stress mechanism of transplantation of BMSCs into rat SCI. A total of 48 adult male SD rats were randomly and equally allocated into three groups (control, model, and treatment). Lower thoracic partial SCI was induced in both the model and treatment group, while the control group received only laminectomy. The control and treatment group were injected with 100 μl of Hank’s buffered saline solution containing 1 million rat BMSCs into the L4-5 intervertebral space. The model group received the same amount of Hank’s buffered saline solution via injection. Hind limb motor function was evaluated by Basso, Beattie, and Bresnahan (BBB) scale while enzyme-linked immunosorbent assay (ELISA) detection was performed for these stress-related hormones: plasma adrenocorticotropic hormone (ACTH), norepinephrine (NE), epinephrine (E), and serum corticosterone (CORT). Immunohistochemistry staining was performed for Glutamate (Glu) receptor 1 (GluR1) in the hippocampus and amygdala of rat brains. Following BMSCs transplantation, motor function of hind limbs of rats in the treatment group achieved sustained restoration. Additionally, 14 days and 28 days after transplantation, levels of plasma ACTH, NE, E, and serum CORT in the treatment group were significantly decreased compared with that in the model group (P<0.05). Positive rates of GluR1 in the hippocampus and amygdala of the treatment group were also dramatically reduced compared with that in the model group (P<0.05). Results showed that BMSCs transplantation is beneficial for motor function recovery of hind limbs in rats with SCI. Furthermore, it may exert a preventive role on chronic stress by downregulating GluR1 expression in the central nervous alpha-amino hydroxymethyl-oxazole propionic acid (AMPA) channel and inhibiting secretion of stress-related hormones, implying a potential anti-chronic mechanism.
OPTIMAL PERFORMANCES OF SINGLE-PHASE FIELD EXCITATION FLUX-SWITCHING MACHINE USING SEGMENTAL ROTOR AND NON-OVERLAP WINDINGS

Field Excitation Flux Switching Machines (FEFSMs) in which, their torque performance generated by the interaction between armature and Field Excitation (FE) coils have been widely designed and developed for various applications. In this regard, FEFSM with the salient rotor is considered the most suitable candidate for high-speed applications because of their advantages of flux controllability, and robust due to a single piece of rotor structure. However, the salient rotor structure is found to produce low torque performance due to the longer flux path in stator and rotor yielding weak flux linkage. In this paper, a new FEFSM using a segmental rotor with advantages of shorter flux path is proposed. The segmental rotor has improved the flux flow and reduced flux leakage to produce higher torque. For comparison, both FEFSMs with salient and segmental rotors have been designed using JMAG Designer version 15 and the investigation process is done via 2D-FEA. As a result, the magnetic flux of the segmental rotor design is 11 times higher than the salient rotor structure mainly due to shorter magnetic flux linkage between two stator teeth and a single rotor segment. In addition, the optimization process of the proposed motor has been conducted by using deterministic optimization technique. The flux linkage, torque and power for the proposed motors have achieved optimum performances of 0.0714 Wb, 1.65 Nm, and 398.6 W, respectively. In conclusion, the proposed motor is considered as the best single-phase FEFSM candidates, with 85.4% and 43.6% improvement of torque and power, respectively.
A Comparative Analysis of Quick , Merge and Insertion Sort Algorithms using Three Programming Languages II : Energy Consumption Analysis

Energy conservation is a major concern today prompting individuals, companies, and organizations to seek for energy-efficient products and services as the energy cost to run equipment has grown to be a major factor. Therefore, software engineers, hardware engineers and system designers explore new directions to reduce the energy consumption of their products and services. The aim of this study is therefore to carry out a comparative experimental analysis of the energy consumption of Quick, Merge and Insertion sort algorithms using three programming languages. The three sorting algorithms were implemented in three programming languages (C, Java and Python) and two algorithm implementation styles (Iterative and Recursive). Time stamp was used to capture the execution time of the sorting algorithm. Power consumed was measured using Joule meter. From the experiments, it was observed, among others, that the data size, programming language used and algorithm implementation styles affect the total energy consumption. It was also observed that the energy consumption is dependent greatly on the time performance of the Algorithm. Using scripting language has clear drawbacks in terms of energy efficiency which should be taken into consideration when using them. Therefore, this paper provides information for choice of sorting algorithm type and its algorithm implementation style in order to minimize energy consumption, most importantly in the current period of explosive growth in the use of resource-constrained devices that run majorly on battey life. This gives developers knowledge on energy efficiency in software leading to choosing some code over others based on their energy performance. The paper is a follow-up to the analysis carried out on execution time in a preceding paper.
AN EMPIRICAL INVESTIGATION ON THE IMPACT OF IT ORGANIZATIONAL ARRANGEMENTS ON FIRM PERFORMANCE

Few studies have linked the form of information technology (IT) organization to firm performance. In this study we view the organizational arrangement of IT activities as a platform for developing complementary IT capabilities. By using the concept of strategic fit, we argue that the approach to organizing IT activities may have a positive effect on firm performance under certain conditions. Through testing our hypotheses on a sample of 798 observations, we have found that a centralized form of IT leads to positive performance effects when the scale of IT investment is high. However a decentralized form leads to positive performance effects when the level of firm diversification is high. Our findings thus provide both conceptual and practical implications.
United States Patent

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Myoblast Transplantation or Chronic Ischemic Mitral Regurgitation

OBJECTIVES This study was designed to assess whether post-myocardial infarction (MI) in-scar transplantation of skeletal myoblasts (SM) could reduce chronic ischemic mitral regurgitation (MR) by decreasing left ventricular (LV) remodeling. BACKGROUND Extensive work has confirmed the relationship between ischemic MR and post-myocardial infarction (MI) remodeling of the LV. METHODS An infero-posterior MI was created in 13 sheep, thereby resulting in increasing MR. Two months post-MI, the animals were randomized and in-scar injected with expanded autologous SM (n 6, mean: 251 10 cells) or culture medium only (n 7). Three-dimensional echocardiography was performed at baseline, before transplantation, and for two months thereafter (sacrifice), with measurements of LV end-diastolic and end-systolic volumes (ESV), ejection fraction (EF), MR stroke volume, and leaflet tethering distance; wall motion score index (WMSi) was assessed by two-dimensional echo. RESULTS Measurements were similar between groups at baseline and before transplantation. At sacrifice, transplantation was found to have reduced MR progression (regurgitant volume change: 1.83 0.32 ml vs. 5.9 0.7 ml in control group, p 0.0001) and tethering distance ( 0.41 0.09 cm vs. 0.44 0.12 cm in control group, p 0.001), with significant improvement of EF (2.01 0.94% vs. 4.86 2.23%, p 0.02), WMSi ( 0.25 0.11 vs. 0.13 0.03 in controls, p 0.01) and a trend to a lesser increase in ESV (23.3 3.5 ml vs. 35.4 4.2 ml in control group, p 0.055). CONCLUSIONS Autologous skeletal myoblast transplantation attenuates mild-to-moderate chronic ischemic MR, which otherwise is progressive, by decreasing tethering distance and improving EF and wall motion score, thereby enhancing valve coaptation. These data shed additional light on the mechanism by which skeletal myoblast transplantation may be cardioprotective. (J Am ublished by Elsevier Inc. doi:10.1016/j.jacc. 2005.12. 063
The Impact of the Location of Sepsis Presentation on Compliance to Centers for Medicare and Medicaid Services ( CMS ) Sepsis Core Measures : A Retrospective Cohort

Objectives: In 2015, the Centers for Medicare and Medicaid Services implemented Severe Sepsis (SS) and Septic Shock (SSh) core measures. This study compared compliance to the measures between Emergency Department (ED) and Inpatients (IP). Secondary objectives included compliance to each bundle component, risk factors for noncompliance, hospital and ICU Length Of Stay (LOS), 30day mortality, and antibiotic initiation within one hour of presentation. Methods: A retrospective, single-center and cohort study. Included patients with admission ICD code of SS and SSh between January 1 June 30, 2016. Patients were excluded if they were less than 18 years of age, admitted with other types of shock (including cardiogenic shock, hemorrhagic shock and anaphylactoid reaction), pregnancy, expired within 6 hours of presentation, admitted to a hospice or palliative care/withdrawal of care before full therapy could be conducted, and transferred from another facility including transferred Marwa Amer1*, Kellie Buschor2 and Martin J Ohlinger3 1Department of Pharmacy Services, King Faisal Hospital and Research Center, Riyadh, Saudi Arabia 2Department of Pharmacy Practice, University of Toledo Medical Center, Toledo, Ohio, USA 3Director of Critical Care Pharmacy Residency, University of Toledo College of Pharmacy and Pharmaceutical Sciences, Toledo, Ohio, USA The Impact of the Location of Sepsis Presentation on Compliance to Centers for Medicare and Medicaid Services (CMS) Sepsis Core Measures: A Retrospective Cohort study from outside hospitals, acute rehabilitation centers and Long Term Acute Care (LTAC) but not nursing homes or skilled nursing facilities. Patient information was accessed via electronic medical records. Results: 272 encounters were screened; 118 were excluded. The 154 remaining subjects were distributed in a 2:1 ratio between ED and IP (ICUs and other hospital floors). For SS, overall 3-hour bundle compliance was 60.6% in ED vs. 34 % in IP (P = 0.003); and overall 6-hour bundle compliance was 51% in ED vs. 25 % in IP (P = 0.046). There were no differences in 3 or 6-hour bundle compliance for SSh. Comparing individual components, only the initial and repeated lactate rates were different: ED 78.8% vs. IP 46%; p < 0.001, and ED 51% vs. IP 25%; p= 0.046, respectively. Hospital and ICU LOS was shorter in the ED arm. Antibiotic initiation in one hour occurred more often in the IP arm (56% vs. 10.6%; P = 0.001). 30-day mortality was not different. Conclusion: In this study, core measure compliance is higher when sepsis presents in the ED. Utilizing such data will guide targeted efforts for sepsis bundles compliance.