Miracle-dz/UniFAR-FTUs huggingface dataset:
Inter-Organizational Service Delivery in Chinese Hospital Industry: A Social Exchange Perspective

This article develops and tests a conceptual framework to shed light on relationship benefits and the interorganizational patient referral process between Chinese hospitals. Based on a sample of 175 dyadic pairs of responses, the study empirically tests for reciprocal behaviors in inter-organizational service delivery process. Chinese hospitals can be divided into low and high level categories, and their benefits in the cooperation are different. The results indicated that performance improvement and knowledge acquisition as the benefits of low level hospitals positively influence their willingness of providing upstream patient referrals to their partner, and market development as the benefits of high level hospitals positively influences their willingness of providing downstream patient referrals to their partner. Thus, the realization of each party’s benefits has a significant effect on the success of inter-organizational healthcare delivery. Some implications are provided for practitioners, academics, governments as well as the public.
In-bond Diversion

We show that the US in-bond system of imports may be used by firms to illegally avoid trade barriers, a practice known as in-bond diversion. Digging into official Chinese and Mexican trade statistics, we uncover traces of US quota-hopping in-bond diversion by Chinese exports of textiles and apparel. This is because the illicit scheme involves declaring Chinese exports bound for Mexico but diverting them to the US market while in transit, thus creating a gap between Chinese and Mexican reports. Using the phaseout and removal of US quotas at the end of the Multifibre Agreement as a policy experiment, as well as variation in quota bindingness across products, we show that quota-bound products were associated with larger trade gaps which shrunk following the quota removals. We also find that quotas were associated with larger shares of US imports aimed for transit warehouses, confirming the use of the in-bond system for illegal quota hopping.
Simplification of Point Set Surfaces using Bilateral Filter and Multi-Sized Splats

We have developed a new algorithm that addresses the two major issues that are critical for the use of point-based rendering in real-world applications: rendering performance and rendering quality. The proposed algorithm improves rendering performance by reducing the number of points to be rendered. We generated points with different sizes in order to improve the quality of the point-splatting-type rendering. In this paper, we propose a feature-preserved simplification algorithm for point-sampled surfaces that generates models with different levels of details. The proposed method automatically balances the sampling density and point sizes. Our algorithm iteratively reduces the number of points using a bilateral filtering algorithm. We validate our method on the basis of the rendering results of different models with different resolutions.
Developing climate-smart livestock systems in Inner Mongolia, China

‘Climate-smart’ is the term coined to define agricultural systems that are resilient to climate change, and offer efficient emissions mitigation potential without compromising on productivity, food security and livelihoods. As part of the implementation of such systems, this study developed a Marginal Abatement Cost Curve (MACC) for greenhouse gas emission mitigation for a grassland system in Inner Mongolia, China. We identified two baseline emission scenarios and three abatement measures, namely, shorter lambing time, prohibited grazing, and reduced stocking rates. The study region showed a high and costefficient abatement potential of 62.5 and 32 Kilotonnes (Kt) of CO2eq for each baseline, respectively and each Abatement measure lead to cost savings for the herders. Reduced stocking rates provided the largest mitigation potential. Sensitivity analysis showed how increasing input and livestock product prices have consequences for measure adoption.
An Experimental and Theoretical Analysis of Substitution in A and B Sites

1Departamento de Quı́mica Fı́sica, Facultad de Farmacia, Universidad de Sevilla, 41012 Sevilla, Spain 2Departamento de Quı́mica Fı́sica, Facultad de Ciencias, Universidad de Cádiz, Puerto Real, 11510 Cádiz, Spain 3Departamento de Ingenieŕıa Quı́mica, Facultad de Quı́mica, Universidad de Sevilla, 41012 Sevilla, Spain 4Departamento de Fı́sica Aplicada I, Escuela Técnica Superior de Ingenieŕıa Informática, Universidad de Sevilla, 41012 Sevilla, Spain
Molecular Characterization of the Gene Encoding for the Salivaricin B Activity and its Flanking Sequences

Lactic acid bacteria (LAB) produce many different antimicrobial proteins, some of which have potential in food preservation. The molecular analysis of bacteriocins has gained much attention and has advanced rapidly in recent years, and it became routine to analyze the way in which bacteriocins are expressed and translocated. Since they are associated with foods of plant and animal origins, the shared interest is that they can be utilized as a vector to deliver the active constituents at the target in the gastrointestinal tract after digestion and be used in therapy. In this respect, the molecular pattern of the expression and translocation of salivaricin B (SalB), a bacteriocin, from Lactobacillus salivarius M7 was studied at the molecular level. The gene encoding SalB and the flanking sequences were obtained and sequenced. The gene encoding SalB comprised an open reading frame (ORF) of 171 bp having a 57 bp long leader sequence and a 114 bp long structural part. Ribosomal binding site (GAGG, RBS) is located at a cannonical distance of 8 bp upstream from the start site.
Modeling & Simulation of Multiphase Interleaved Boost Converter for Grid-Connected PV System

A Multi-phase Interleaved boost converter with photovoltaic module using Maximum Power Point Tracking (MPPT) technique is the primary objective of this project. Hence at the beginning, the PV module is analyzed in MATLAB using SIMULINK software. Single-diode Photovoltaic model is used here. The surrounding conditions, which really affect the characteristics of PV cells are listed as; Solar Irradiation & Temperature. Generally three boost converters are used in parallel manner to form a three-phase interleaved boost converter. Controlling pulses are coming from the three maximum power point trackers. The MPPT indicates the maximum possible power from the photovoltaic module and supply it to the load via the multi-phase interleaved boost converter which boosts up the voltage in high ratio to required magnitude.Then the generated dc output voltage is given back to grid through universal inverter. Before connecting to grid it should be properly synchronized. In this project, simulation& design of a close loop three phase inverter in MATLAB SIMULINK platform is also presented. That is also a part of PV grid connected systems. The inverter utilized here is controlled by the synchronous d-q reference frame. It injects a current into the grid so that both can be synchronized. Phase lock loop technique is used here to lock the grid frequency and phase with inverter ones. Filter is especially designed here at the inverter output terminal to eliminate the high frequency ripple. It’s of low pass type. There are many MPPT methods given by the researchers. Among them P&O method and INC method are mostly used. Here P&O algorithm is used because of its advantages over INC method. P&O MPPT algorithm having faster dynamic response and well-regulated PV output voltage than hill climbing algorithm.
A New Method for Solving Bi-Objective Transportation Problems

A new method namely, dripping method is proposed for finding a set of efficient solutions to a bi-objective transportation problem which differs from all existing methods. The percentage level of satisfaction of a solution for a transportation problem is introduced. An illustrative example is presented to clarify the idea of the proposed approach. The dripping method can be served as an important tool for the decision makers to obtain efficient solutions, according to their level of satisfaction on the objective functions when they are handling various types of logistic problems involving two objectives.
Diversity and Distribution of the Genus Platypeltoides (Nileidae) in Morocco

Recently two new species of the genus Platypeltoides (Nileidae, Trilobita) from the Anti-Atlas region of Morocco have been described. Because new material is still appearing in this area, we have considered to review this subject. The aim of this article is to describe all the species of the genus Platypeltoides appeared in the Lower Fezouata Formation (Tremadocian, Lower Ordovician) and distributed in three different locations of the Moroccan Anti-Atlas. Several specimens of this genus and kept in the Museo Geologico del Seminario (Barcelona, Spain), Museo Geominero (Madrid, Spain) and the Natural History Museum (London, UK) are here described and discussed. In this paper, all known species of the Platypeltoides genus of Morocco are presented. All them appear in the Zagora region and in the Guelmim area. Three species have already been described: P. magrebiensis? , P. hammondi and P. carmenae. We left two more in open nomenclature, Platypeltoides aff. carmenae and Platypeltoides sp. Finally, another species changes its genus: Asaphellus cuervoae = Platypeltoides cuervoae. Indeed, four species (but possibly two more) of the genus Platypeltoides are present in the Lower Ordovician of Morocco.
Insect diversity of Doodhpathri (Budgam), Jammu and Kashmir, India

The study reports the insect diversity of Doodhpathri and a total of fifteen species were recorded belonging to thirteen families and seven orders. Maximum number of species were recorded at site-II (12), followed by site-III (10) and least at site-I (8). Significant variation in density of different species was recorded among the months at site-I (F5 = 10.92, P < 0.05), Site-II (F5 = 11.45, P < 0.05) and Site-III (F5 = 22.69, P < 0.05) and among the species at site-II (F11 = 6.17, P < 0.05) and site-III (F9 = 7.61, P < 0.05) with maximum density recorded during the summer at site-II for Anisopteras sp. Among different species Lycosa sp. was dominant species at site-I and site-III whereas Anisopetra sp. at site-III. Diversity indicesShannon, Simpson’s and Margalef index were higher (2.39, 0.90 and 2.39) at site site-II and lowest at lowest (2.04, 0.86 and 1.81) at site-I respectively. Presence of large area with diverse plant species provides a greater diversity of resources for insects and could be the reason for the occurrence of maximum number of species at site-II.
Antioxidant Activity of Peptides from Fermented Milk with Mix Culture of Lactic Acid Bacteria and Yeast

The aim of the present study is to investigate the production of antioxidant peptides during milk fermentation with co-culture of Lactic Acid Bacteria (LAB) and yeast. Five LAB strains, previously screened with higher hydrolysis activity and Debaryomyces hansenii H2 which isolated from Tibet kefir were used in the study. The peptides separated from fermented milk were analysed antioxidant activity with DPPH radical scavenging, hydroxyl radical scavenging, chelation of metal ions and reducing power assays. The growth of Streptococcus. thermophilus, Lactobacillus. delbrueckii ssp. bulgaricus and Lactococcus. lactis was enhanced with co-cultures and L. acidophilus was inhibited in co-culture with yeast. In co-culture with yeast, a significant decrease of the acidity was observed among all the fermentation and the pH reached higher values than in single LAB cultures. Except for L.delbrueckii ssp. bulgaricus, there was no significant difference of protein hydrolysis with other test LAB strains between co-culture and single culture. The co-incubation of LAB with the yeast developed a stronger antioxidant activity in DPPH radical and hydroxyl radical scavenging and no significant (p＞0.05) difference in chelation of metal ions. The reducing power of L. delbrueckii ssp. bulgaricus and L. helveticus in co-culture was significant higher than those of single culture.
Versus Human Resources in the Greek-Turkish Arms Race : A Forecasting Investigation Using Artificial Neural Networks

This paper aims at forecasting the burden on the Greek economy resulting from the arms race against Turkey and at concentrating on the leading determinants of this burden. The military debt and the GDP share of defence expenditure are employed alternatively in order to approximate the measurement of the arms race pressure on Greece, and the method used is that of artificial neural networks. The use of a wide variety of explanatory variables in combination with the promising results derived, suggest that the impact on the Greek economy resulting from this arms race is determined, to a large extent, by demographic factors which strongly favour the Turkish side. Prediction on both miltary debt and defence expenditure exhibited highly satisfactory accuracy, while the estimation of input significance, indicates that variables describing the Turkish side are often dominant over the corresponding Greek ones.
A Novel Remote Monitoring System for Environmental Parameters in Greenhouse

The paper is presented for remote monitoring of greenhouse parameters with the help of sensors and GSM communication. It overcomes the disadvantages of wired and wireless constraints such as complicated wiring, difcult maintenance and distance, to monitor and control the applications. The application will have embedded system which consists of Arduino microcontroller, real time operating system, sensors, GSM modem and control devices to monitor the environmental parameters condition namely temperature, humidity, CO2 concentration and light intensity in greenhouse.The threshold levels of the sensors will be set with the help of push button keys or remotely via GSM communication mode. By this, environmental parameters in greenhouse can be monitored manually as well as remotely.
EFFECTS OF HUMAN RESOURCE PRACTICES ON FAMILY FIRMS SOCIAL PERFORMANCE

The aim of our research is to analyse social performance (through turnover rate) of large family owned business in relation to their human resource practices. We made multiple regressions on a sample of 60 large firms. Our global model, considering large family owned business and non-family owned business, shows that part-time contracts increase turnover significantly, while training reduces it. We observe the same relation when we analyse family owned business specifically where we also note that to belong to the trade sector influences turnover significantly. When we consider non-family owned business on the other hand, then variables like pay, training, firm’s age and services or building sectors tend to affect turnover significantly.
Influence of planting geometries and weed control practices on growth and herbage yield of Kalmegh (Andrographis paniculata Nees.)

Field experiments was conducted during Kharif season of 2014 and 2015 at MRDC of G.B. Pant University of Agriculture and Technology, Pantnagar (Uttarakhand), India to study the effect of planting geometries and weed control practices on growth and herbage yield of Kalmegh (Andrographis paniculata Nees.). The findings of the study indicated that kalmegh growth related parameters like number of branches, plant spread and leaf area index were significantly influenced by the wider planting geometry over that of closure during both the years. However, plant height, dry matter accumulation by crop/m2 and dry hectare herbage yield/ha were significantly influenced under the closing planting geometry as compared to wider during both the years. It was also observed that keeping weed free condition aside, the integration of weed management practices like application of pendimethalin 30 E.C PE. @1.0 kg a.i./ha + quizalofop ethyl 5 E.C. PoE @ 50 g a.i./ha at 3-5 leaves stage of weeds followed by mechanical weeding by hand hoe at 30-35 DAT and pendimethalin 30 E.C. PE @1.0 kg a.i./ha followed by mechanical weeding by hand hoe at 30-35 DAT proved effective in producing more plant height, number of branches, plant spread, leaf area index, dry matter accumulation by crop/m2 and dry herbage yield/ha as compare to remaining treatments during both the years. The results also revealed that the interaction effects of these treatments with respect to dry herbage yield/ha were also found significantly during both the years. Therefore, based on the above two years findings it is concluded that an integrated approach of pre and post-emergence applied herbicides followed by mechanical weeding along with closured plating geometry produced the best result to achieving more dry herbage yield of kalmegh.
Prickly Pear Cactus Responses to Summer and Winter Fires

Abstract Prescribed fire is used to reduce size and density of prickly pear cactus (Opuntia spp.) in many rangeland ecosystems. However, effects of dormant season fires (i.e., winter fires) are inconsistent. Thus, there is increasing interest in use of growing season (summer) fires. Our objective was to evaluate effects of fire season and fire intensity on mortality and individual plant (i.e., “motte”) structure (area per motte, cladodes per motte, motte height) of brownspine prickly pear (O. phaeacantha Engelm.). The study had 4 treatments: no fire, low-intensity winter fire, high-intensity winter fire, and summer fire. Three sizes of prickly pear mottes were evaluated: small (0–20 cladodes per motte), medium (21–100), and large (101–500). At 3 years postfire, prickly pear mortality in the summer fire treatment was 100% in small mottes, 90% in medium mottes, and 80% in large mottes. Motte mortality increased in this treatment over time, especially in large mottes. Mortality from high-intensity winter fires was 29% and 19% in small and medium mottes, respectively, but no large mottes were killed. Motte mortality was < 10% in low-intensity winter fire and no-fire treatments. Summer fires reduced all motte structural variables to 0 in small mottes and nearly 0 in other motte size classes. High-intensity winter fires reduced some structural variables of medium and large mottes, but had no long-term negative effects on area per motte or cladodes per motte in surviving small mottes. Low-intensity winter fires had no long-term negative effects on motte structure in any size class. Rapid growth of mottes, and especially small mottes, in the no-fire treatment suggested that resistance to winter fires can occur rapidly.
econstor Make Your Publications Visible . A Service of zbw

This paper examines the effectiveness of cheap talk when the receiver is imperfectly informed. We show that the receiver’s prior knowledge becomes an impediment to efficient communication in a model with the discrete state space: in general, the more the receiver is informed, the less information she can extract from the sender. In fact, when the receiver is as informed as the sender, no information can be conveyed via cheap talk for an arbitrarily small preference bias. This draws sharp contrast to the conventional setup where there is always a fully separating equilibrium as long as the preference bias is sufficiently small. We relate this result to issues that are critical for organizational design, such as the allocation of decision-making authority and the span of control.
Climate-induced changes in the phenotypic plasticity of the Heath Fritillary, Melitaea athalia (Lepidoptera: Nymphalidae)

Recently a large number of studies have reported an increase in the variability in the climate, which affects behavioural and physiological adaptations in a broad range of organisms. Specifically, insects may be especially sensitive to climatic fluctuations, as their physiology and life history traits, like those of other ectotherms, are predominantly affected by environmental factors. Here we aimed to investigate climate-induced changes in several morphometric measures of the Heath Fritillary in North-Eastern Hungary, which is a highly diverse transitional area. During this study we tested the following hypotheses: (i) climate affects genitalia and body size to various degrees (ii) increasing variability in climate induces higher levels of fluctuating asymmetry and variance in all morphological characters. To our knowledge, this study is the first to analyse simultaneously wing size and structure of genitalia of a butterfly in response to variability in climate. Our findings suggest that wing and genital traits may exhibit similar degrees of stability in response to a more variable climate, although the response in terms of forewing size differs from that of other body measurements and the structure of the genitalia. These findings suggest that global climate change may affect lepidopteran body metrics over longer periods of time. Our findings parallel the results of investigations showing that insect morphology might be modified by environmental changes, which is especially the case for those body parts that are phenotypically very variable. However, we found no evidence that increasing variability in climate would induce higher levels of fluctuating asymmetry and greater variability in morphological characters.
Text Categorization Based on Apriori Algorithm's Frequent Itemsets

Text Categorization Based on Apriori Algorithm's Frequent Itemsets by Prathima Madadi Dr. Kazem Taghva, Examination Committee Chair Professor of Computer Science University of Nevada, Las Vegas Automatic Text categorization is the task of assigning an electronic document to one or more categories, based on its contents. There are many known techniques to efficiently solve categorization problems. Typically these techniques fall into two distinct methodologies which are either logic based or probabilistic. In recent years, many researchers have tried approaches which are a hybrid of these two methodologies. In this thesis, we deal with document categorization using Apriori Algorithm. The Apriori algorithm was initially developed for data mining and basket analysis applications in the relational databases. Although the technique is logic based, it also relies on the statistical characteristics of the data. As a part of this work, we will implement all the tools which are necessary to carry out automatic categorization using Apriori algorithm. We will also report on the categorization effectiveness by applying this technique to standard collections.
The effect of temporal decorrelation on the inversion of forest parameters from Pol-InSAR data

This paper addresses the effect of temporal decorrelation on the inversion of forest parameters using Pol- InSAR techniques. The modeling of temporal decorrelation and the inversion of single-baseline Pol-InSAR data in the presence of temporal decorrelation is discussed. Model based simulations and experimental multi-temporal fully polarimetric and repeat pass interferometric data from the SIR-C Space shuttle mission are used for the performance analysis of the proposed approach. Keywords-component: Polarimetric SAR interferometry (Pol- InSAR), Forest Parameter Estimation.
A SURVEY ON VARIOUS CLASSIFICATION AND NOVEL CLASS DETECTION APPROACHES FOR FEATURE EVOLVING DATA STREAM

The classification of data stream is challenging task for data mining community. Dynamic changing nature of data stream has some difficulties such as feature evolution, concept evolution, concept drift and infinite length. As we know that the data streams are huge in amount, it is impractical to store and use all the data for training. Concept drift occurs when underlying concept changes. Concept-evolution occurs as a result of new classes evolving in the stream. Another important characteristic of data streams, namely, feature evolution, in data stream new features emerge as stream advancement. In this paper we discuss the stream data classification processes and method of these classification techniques. Different authors used different method such as data miner and tree based approach for reduced such types of issues. Ensemble of classifier is used to detect novel classes for feature evolving data stream.