Miracle-dz/UniFAR-FTUs huggingface dataset:
A SCOR based Performance evaluation system of the Hospital Supply chain

The literature on Hospital Supply Chain performance is limited and assessing the performance of the Hospital Supply Chain (HSC) is currently a key challenge. The sector has to balance the seemingly incompatible demand of cost reduction and quality improvement. Despite hospital supply chain having a great impact on hospital budgets, opportunities for optimization still exist and can be identified through performance measurement in order to enhance healthcare quality and have a harmonious relationship between care providers and patients. The developed SCOR metrics measurement system is a balanced set of financial and non-financial measures. The purpose of this study is to discuss the applicability of the SCOR performance system and evaluate the HSC performance based on five aspects i.e. Reliability, Responsiveness, Agility, Costs and Asset Management Efficiency. The main contribution of this paper is to improve practical performance and enhances management effectiveness for HSC. This study applies the Multiple Criteria Decision Making methods (MCDM) to evaluate the HSC performance. In general the service quality has abstract properties, which mean that using the previously known measurement approach is insufficient. A generalized quantitative evaluation model based on the Fuzzy Analytical Hierarchical Process (FAHP) was then used to consider both the interdependence among measures and the fuzziness of subjective measures in HSC.
ASSOCIATION OF PHYTOMINERAL WITH GASTROINTESTINAL PARASITES OF GRAZING SHEEP IN SIALKOT DISTRICT , PUNJAB , PAKISTAN

Sheep production in Pakistan has an imperative economic and social impact on rural small-holder farming systems due to their dependence on sheep for nutrition and income (Iqbal et al., 2005). Gastro-intestinal (GI) parasitic infections in young sheep, goat and cattle are a global problem having production losses up to 50% (Lashari and Tasawar, 2011). A variable prevalence (25.1 to 92%) of different GI parasitic species in sheep has been reported by Khan et al. (2010), Mehmood et al. (2013) and Raza et al. (2014) in different parts of the country. Anthelmintics are less effective due to increase in prevalence of parasitic resistant to drugs (Saddiqi et al., 2006), increasing public concern to pesticide residues in food chain and environment (Cooper et al., 2012) along with growing cost of treatment and labour. During the past decade, uses of plants with anthelmintic properties (ethno-veterinary medicine) are under consideration all around the world (Hassan et al., 2014). Nature has endowed Pakistan with a variety of ecological zones. Agro-grazing animals and natural vegetation as their forage are the most important components of animal production (Shah et al., 2012). Climate in general and local conditions in specific determine the nature and kind of plants, their distribution, composition, nutritive value in different cropping belts, grazing sites as well as number and kinds of grazing animals (Maitima et al., 2009). Therefore, different cropping belts and grazing sites of Punjab have profound effects on the botanical and chemical composition of grazing/browsing forages in meadows (Rahim et al., 2011). Individual investigations have been conducted in different regions of Punjab province which indicated variable preferences of selection of plant species by small ruminants for grazing. Various plant species can minimize the degree of parasitic infections in animals as has been reported extensively (Hamad et al., 2013; Sindhu et al., 2014; Calixto Júnior et al., 2016). The fundamental principle inducing the antiparasitic effects is not clear (Anjos et al., 2012). However, direct or indirect effects of improved minerals and trace elements of the animals may reduce parasitic burden (Heckendorn, 2005). The soil-plant-animal interaction is a complex system which has not been studied tolerably. Facts are required on relationship of minerals among soil, plant or forages, and animal sera to understand their association (Khan et al., 2007). Fragmentary data is available concerning the minerals status of soils, forages and small ruminants in Punjab (Khan et al., 2005; Khan et al., 2017). The present study was aimed to investigate soil-plant-sheep mineral profile correlation and the influence of serum mineral levels with the magnitude to Pak. J. Agri. Sci., Vol. 56(2), 459-468; 2019 ISSN (Print) 0552-9034, ISSN (Online) 2076-0906 DOI: 10.21162/PAKJAS/19.6584 http://www.pakjas. com.pk
Cross-Linguistic Skills Transfer from the Second/Foreign Language to the First among Students with Learning Disabilities after an Intervention Program in the Second Language

Cross-linguistic skills transfer from the first language (L1) to the second/foreign language (L2) has been widely investigated and the impact of L1 on L2 learning has been documented. On the other hand, there are few studies that have investigated the reverse transfer of skills that are from L2 to L1. These studies support the CRT hypothesis which claims that such a transfer exists and that when an intervention program for the improvement of specific linguistic skills in L2 is applied in children with learning disabilities there is an improvement of the same skills in their L1, except for spelling skills (Abu-Rabia & Bluestein-Danon, 2012; Abu-Rabia, Shakkour, & Siegel, 2013). In the present study, a linguistic skill transfer from L2 (English) to L1 (Greek) is investigated, after an intervention in the L2, among secondary school students with learning disabilities (LD). The students (mean age 13.6 years old) were divided into an experimental group which received an intervention in L2’s decoding and spelling skills and also into a control group which did not receive any intervention. Both groups were tested in their decoding reading skills and spelling in both languages. Our results showed that there was a transfer from L2 to L1 for decoding skills in the intervention group but not for spelling. These findings are in line with the CRT Hypothesis giving support to a linguistic skill transfer from L2 to L1, except for orthographic knowledge which seems to be language specific.
Website Persuasiveness in Sports Marketing: A Content Analysis of Websites of Turkish Sports Clubs

Sports marketing, which has attracted significant attention in marketing in recent years, is among the fields in which the digitization of marketing communications has been the most intense. Institutions that seek to add value to branding and their brands through the organization of sporting event(s) take great advantage of digital communication media and persuasion technologies to try to create attitudes and behaviors in their target groups. In this study, it is demonstrated that how websites - considered to be among the basic of persuasive technologies - are used as a part of sports marketing activities by analyzing the corporate websites and online shopping stores of the football and basketball teams competing in the professional leagues in Turkey. How sports clubs use their websites as a persuasive technology is described in this study through analyzing the persuasion dynamics of 41 websites using a content analysis.
Enabling Relay-Assisted D2D Communication for Cellular Networks: Algorithm and Protocols

Recently, there is a growing emphasis on device-to-device (D2D) communication, which is the key component of the Internet-of-Things ecosystem. D2D communication can operate on the licensed spectrum of cellular networks so as to improve the spectrum utilization. In this paper, we focus on the resource allocation problem for general multihop D2D communication and introduce users’ mobility into D2D communication underlaying cellular networks. Maximizing the total end-to-end data rate involves complex tasks, such as resource allocation and routing. By leveraging on the square tessellation technique, we propose an efficient square-division-based resource allocation scheme. Furthermore, we design a relay-assisted D2D communication protocol that addresses the challenges in enabling multihop D2D communications, namely, spectrum resource allocation, users’ mobility, and relay incentive. Through extensive simulations, we show that our relay-assisted D2D communication protocol improves the system throughput up to 55% and the user access rate up to four times in typical scenarios, as compared with state-of-the-art schemes.
Multiobjective Optimization of Water Supply Systems Operation Using Genetic Algorithms

The current paper focuses on the analysis and optimization of operating strategies of water supply systems taking into consideration different points of view related to the technical-hydraulic and water quality performance of the system. An integrated software tool has been developed composed of three main modules: a hydraulic simulator, a performance assessment tool and an optimization module based on Genetic Algorithms (GA). The developed tool has been applied to a real life case study: a water conveyance system “Póvoa Vila do Conde” system integrated in the Multimunicipal Water Supply System of “Baixo Cávado” and Ave. Results have shown that the implementation of optimal pumping schemes allows the reduction of operation and maintenance direct costs associated with pumping energy between 6 to 8% as well as the increase of hydraulic reliability of the system, maximizing available water volume in storage tanks. maximize hydraulic reliability of the system in terms of available water volume in tanks. SIMULATION HYDRAULIC MODULE OPTIMIZATION MODULE PERFORMANCE ASSESSMENT MODULE Technical-hydraulic behaviour Water Quality Pumping Costs Reliability Hydraulic Simulation Results Hydraulic Simulation Results Performnce Assessment Resuts SIMPLE OPTIMIZATION MULTIOBJECTIVE OPTIMIZATION Weighted Sum Pareto Optimization Operation Controls Figure 1. Flowchart of the developed software tool 2.2 Hydraulic simulation module The hydraulic simulator describes the hydraulic behaviour of the system during 24-hour simulation. This module incorporates several functions of the EPANET programmer’s toolkit (Rossman 2000) to run hydraulic simulations. It allows the calculation of water tank levels, pressure and piezometric heads at all system nodes, flow-rates and velocities at all system links, amongst, other system parameters (e.g., headlosses, friction factors). 2.3 Performance assessment module The performance assessment module incorporates a group of functions specifically defined to evaluate the systems technical performance in terms of pressure, velocity, reliability, water losses, pumping costs and water quality. These have been defined in a percentage scale varying from 0 (unacceptable service) to 100% (optimal service). This module is based on the methodology developed by Coelho (1997) for assessing the technical performance of water distribution systems. In order to be applied this methodology to water conveyance systems, new penalty have been proposed by Sousa (2007) as presented in Figures 2 to 6. Pressure Pe rf or m an ce (% ) Pe rf or m an ce (% ) Figure 2. Penalty curve for pressure Pe rf or m an ce (% ) Velocity (m/s) Pe rf or m an ce (% ) Figure 3. Penalty curve for velocity Pe rf or m an ce (% )
Brendan-A Deep Convolutional Network for Representing Latent Features of Protein-Ligand Binding Poses

Empirical molecular ”fingerprints” are often used in computational drug discovery (specifically in QSAR methods [3]) to predict Protein-Ligand binding affinity. However, these fingerprints are based on rigid, geometricallybased chemical descriptors that must be hand-tailored to match quantum mechanical experiment data, making the development and choice of fingerprint features extremely difficult. In this paper, we introduce a deep convolutional network, Brendan, that allows us to learn the latent features of Protein-Ligand binding poses by learning from the validated crystallographic poses of PDBBind [14]. Although other approaches have attempted to use deep learning to predict Ki/Kd, toxcity, or potency of molecules (see [18] [1] [21] [10]), we are the first to explore the chemical intuition behind these models and present a chemically inspired deep learning framework that can accurately predict − log(Ki/Kd). The main contributions of this paper are to: (1) explore the effect of using a Protein-Ligand centric language (through SPLIF voxels [5]) to represent our 3D crystallographic structures, (2) develop novel graph convolutional methods for crystallographic data, using the theoretic with of [6], and (3) show that the latent features learned (via the fully connected representation) can be used in other Protein-Ligand downstream regression/classification applications.
Impact of socio-demographic characteristics and long-term complications on quality of life in patients with diabetes mellitus.

OBJECTIVE Diabetes mellitus (DM) has been one of the leading chronic diseases worldwide over past decades. The objective of the study was to identify predictors associated with health-related quality of life (HRQOL) in diabetic patients. METHODS A cross-sectional questionnaire-based study was conducted at the General Hospital of the city of Leskovac, between June and November 2015. The Short Form-36 (SF-36) questionnaire, EuroQol-5D (EQ-5D) and EuroQol-VAS (EQ-VAS) questionnaires were used. Univariate and multivariate linear regression analyses were performed. RESULTS The total number of patients was 285, 112 men (39.3%) and 173 women (60.7%), average age 63.92 ± 1.07 years. The results of multiple linear regression of socio-demographic characteristics in relation to dimensions of the quality of life measured by SF-36 and EQ-VAS showed that age, country (rural) life, low level of education, retirement, and poor economic status are predictors of lower quality of life. Our results showed that employment has a significant association with higher Physical Component Score (PCS), Mental Component Score (MCS) and EQ-VAS score, which can be explained with higher incomes, improved economic status and less possibility for the occurrence of depressive mood. Patients without formal education have lower QOL. Univariate multiple regression analysis of the presence of micro- and macrovascular complications of DM showed that angina pectoris, heart failure, diabetic retinopathy, and diabetic nephropathy are the most important factors affecting the quality of life in our population. After including the multivariate model, all tested complications remained statistically significant. CONCLUSION Our results showed that both socioeconomic and chronic complications are relevant factors of HRQOL in type 1 and 2 diabetes mellitus patients. Age, rural lifestyle, retirement, lower level of education and low socioeconomic status, as well as DM complications (angina pectoris, hearth failure, diabetes nephropathy, and diabetes retinopathy) were found to be independent risk factors for the component scores of SF-36 and EQ-VAS score. Taking into consideration the results obtained, health practitioners should be aware not only of the clinical parameters of patients with DM, but also of their educational level and working status.
Control of VSC-HVDC Connected Offshore Windfarms for Providing Synthetic Inertia

This paper presents a generator emulation control (GEC)-based method to provide synthetic inertia with a voltage source converter-based high-voltage direct current (VSC-HVdc) converter station, and furthermore, a coordinated control strategy for VSC-HVdc connected offshore windfarms (OWFs) to achieve enhanced ability of serving synthetic inertia. Given that the increasing penetration of renewable energy sources may lead to a significant reduction of system inertia and will thus result in a greater risk of instability, an extended control loop to emulate both the inertia and the droop characteristics of a synchronous generator is first added, with which the VSC-HVdc converter station can provide active power support by using the stored energy in the dc-link capacitors to increase the inertia of power system. To provide larger synthetic inertia with reasonable volume of dc-link capacitors, a coordinated control strategy for VSC-HVdc connected OWFs is further proposed to utilize the OWFs to supply additional energy needed by the GEC strategy. The validity of the proposed control methods is verified exemplarily by simulation results of a three-terminal VSC-HVdc system with two connected OWFs.
SEISMIC HAZARD ASSESSMENT AND DESIGN METHODOLOGY FOR STEEL BURIED PIPELINES

1 GAZ DE FRANCE, Research and Development Division, Saint Denis La Plaine, France bernard.destombes@gazdefrance.com 2 BRGM, Natural Risks Department, Marseille, France Email: d.chassagneux@brgm.fr 3 GAZ DE FRANCE, Research and Development Division, Saint Denis La Plaine, France, mures.zarea@gazdefrance.com 4 BRGM, Natural Risks Department, Marseille, France Emal,, p.mouroux@brgm.fr 5 GAZ DE FRANCE, Transmission Division, Clichy , France Email: daniel.pruvost@gazdefrance.com SEISMIC HAZARD ASSESSMENT AND DESIGN METHODOLOGY FOR STEEL BURIED PIPELINES
Nutritional Metabolomics: Postprandial Response of Meals Relating to Vegan, Lacto-Ovo Vegetarian, and Omnivore Diets

Metabolomics provide an unbiased tool for exploring the modulation of the human metabolome in response to food intake. This study applied metabolomics to capture the postprandial metabolic response to breakfast meals corresponding to vegan (VE), lacto ovo-vegetarian (LOV), and omnivore (OM) diets. In a cross over design 32 healthy volunteers (16 men and 16 females) consumed breakfast meals in a randomized order during three consecutive days. Fasting and 3 h postprandial serum samples were collected and then subjected to metabolite profiling using 1H-nuclear magnetic resonance (NMR) spectroscopy. Changes in concentration of identified and discriminating metabolites, between fasting and postprandial state, were compared across meals. Betaine, choline, and creatine displayed higher concentration in the OM breakfast, while 3-hydroxyisobutyrate, carnitine, proline, and tyrosine showed an increase for the LOV and unidentified free fatty acids displayed a higher concentration after the VE breakfast. Using 1H NMR metabolomics it was possible to detect and distinguish the metabolic response of three different breakfast meals corresponding to vegan, lacto-ovo vegetarian, and omnivore diets in serum.
Last-Centimeter Personal Drone Delivery: Field Deployment and User Interaction

Drones are rapidly becoming an affordable and often faster solution for parcel delivery than terrestrial vehicles. Existing transportation drones and software infrastructures are mostly designed by logistics companies for trained users and dedicated infrastructure, and are to be used for either long range (<150 km) or last-mile delivery (<20 km). This letter presents Dronistics, an integrated software and hardware system for last-centimeter (<5 km) person-to-person delivery using cargo drones. The system is conceived to be intuitive and intrinsically safe to enable short-distance deliveries between inexperienced users. Dronistics is composed of a safe foldable drone (PackDrone) and a web application software to intuitively control and track the drone in real time. In order to assess Dronistics’ user acceptance, we conducted 150 deliveries over one month on the EPFL campus in Switzerland. Here we describe the results of these tests by analyzing flight statistics, environmental conditions, and user reactions. Moreover, we also describe technical problems that occurred during flight tests and solutions that could prevent them.
Image Classification using SIFT

As a huge image storing and sharing site such as Flickr is getting popular, the amount of image information is also increasing and the users want more accurate image searching system. To increase the accuracy of tag-based image search, a variety of approaches have been tried including usage of semantically related tags. In this paper, we propose a method to classify the Flickr images with bag of visual word approaches using the SIFT algorithm, which has good performance for classifying images based on the image feature extraction. As a result of applying SIFT algorithm to the database of the preliminary retrieved images with semantically related tags, we found that it showed better accuracy than a result from SURF algorithm. Therefore we expect that our method can classify a variety of Flickr images more accurately. [Jang HW, Cho S. Flickr Image Classification using SIFT Algorism. Life Sci J 2014;11(7):607-611] (ISSN:10978135). http://www.lifesciencesite. com. 84
Matsui and Nguyen , 2013 ( Caudata : Salamandridae ) , compared to other

—We describe for the first time the larval development and stages of the recently described Ziegler’s Crocodile Newt (Tylototriton ziegleri), an endemic species to northern Vietnam. Diagnostic morphological characters are provided for Grosse (1997, 2013) stages 27–32, 35–36, and 44–45, as well as comparisons with larval stages of other Tylototriton representatives. In addition, natural history data and an ecological assessment of the breeding niche are presented for T. ziegleri as well as for T. vietnamensis, from whom the former species was only recently taxonomically separated. We provide data extending the known breeding season of these two cryptic species in the North of Vietnam, which in fact lasts from April until July. On average, the clutches of T. ziegleri consisted of 67 ± 32 eggs, were found on rock and soil substrates with a distance of 50 ± 28 cm from water, whereas the clutches of T. vietnamensis were significantly smaller (43 ± 19 eggs), found only on soil and were further distant from water (80 ± 41 cm). The known maximum altitudinal distribution of T. vietnamensis is herein increased to 980 m above sea level. Based on the examples of T. ziegleri and T. vietnamensis, this study highlights how important it is to uncover cryptic species, define their exact distribution range, and investigate potential differences in ecological adaptations in order to assess the conservation status, develop proper conservation planning and provide suitable conditions for potential ex situ breeding programs.
Platform-Independent Benchmarks for Task and Motion Planning

We present the first platform-independent evaluation method for task and motion planning (TAMP). Previously point, various problems have been used to test individual planners for specific aspects of TAMP. However, no common set of metrics, formats, and problems have been accepted by the community. We propose a set of benchmark problems covering the challenging aspects of TAMP and a planner-independent specification format for these problems. Our objective is to better evaluate and compare TAMP planners, foster communication, and progress within the field, and lay a foundation to better understand this class of planning problems.