bluuebunny/crossref_metadata_2025_split huggingface dataset:
Apport de la sociologie à l’étude de la réduction d’usage des antibiotiques
Authors: DUCROT Christian , ADAM Cécile , BEAUGRAND Florence , BELLOC Catherine , BLUHM Julie , CHAUVIN Claire , CHOLTON Marina , COLLINEAU Lucie , FAISNEL Julien , FORTANÉ Nicolas , HELLEC Florence , HÉMONIC Anne , JOLY Nathalie , LHERMIE Guillaume , MAGNE Marie-Angélina , PAUL Mathilde , POIZAT Axelle , RABOISSON Didier , ROUSSET Nathalie 
Published: April 2019

Pour réduire l’usage des antibiotiques en élevage, divers travaux en sciences biotechniques visent à concevoir et identifier des solutions zootechniques ou thérapeutiques alternatives aux antibiotiques. Cependant, au-delà de ces solutions techniques, des facteurs humains et sociaux déterminent les décisions de prescrire et d’administrer ou non des antibiotiques. L’article met l’accent sur ces facteurs et dresse une synthèse des travaux menés en sciences humaines et sociales en France sur la réduction de l’usage des antibiotiques dans différentes filières animales et leurs contributions pour relever ce défi. Trois contributions majeures ont émergé, à différentes échelles. La première consiste en une meilleure compréhension des processus de changement de pratiques opérés par les éleveurs pour réduire l’usage des antibiotiques dans leur élevage : identification des freins et motivations des éleveurs pour opérer ce changement, caractérisation de trajectoires de changement y compris les contextes dans lesquels elles sont réalisées, et des outils mobilisés par les éleveurs pour y parvenir. Une seconde contribution porte sur la compréhension du rôle des réseaux d’acteurs des éleveurs dans ces processus de changement : rôle du conseiller d’élevage et du vétérinaire et de leur relation de travail avec l’éleveur ; rôle des pairs pour expérimenter de nouvelles pratiques. La dernière contribution porte sur la compréhension et la conception de modes de gouvernance collectifs pour réduire l’usage des antibiotiques en élevage : analyse de la prescription vétérinaire et de ses évolutions, du rôle des acteurs des filières pour une action concertée et de la dynamique impulsée par le plan EcoAntibio. Quelques pistes sont évoquées pour approfondir ces travaux.
A growing system closer to the natural conditions for studying root growth and response of Arabidopsis thaliana
Authors: Li Ying , Yuan Wei , Li Luocheng , Dai Hui , Dang Xiaolin , Xu Weifeng 
Published: April 2019

Abstract
In natural environments, shoot was exposed to sunlight but roots are not directly exposed to light, being buried deep down in the soil and grow in darkness without sucrose addition. However, most current research in root biology has been carried out by growing the Arabidopsis root system in the presence of light and sucrose-added medium since root development is typically studied in traditional agar-plate culture system (TPG, traditional plant-growing). Here, we present a protocol for improved agar-plate culture system (IPG, improved plant-growing), allows the in vitro cultivation of Arabidopsis with the aerial part growing in normal light/dark photoperiod while roots grow in darkness without sucrose addition. IPG provides an efﬁcient system for cultivating a large number of seedlings and easily characterizing root architecture in the dark. We also provide methods for key steps all the way through to seedlings growth.We found that the primary root lengths in TPG were significantly longer than that in IPG, and the root elongation growth is dependent on auxin-triggered acidiﬁcation of the root apoplast of Arabidopsis . With this protocol, a better understanding of the mechanisms involved in root growth and responses of plants can be easily characterized.
H-type Hypertension is a risk factor for Cerebral Small Vessel Disease: a retrospective study
Authors: Cai Xiuying , Fang Qi , Li Tan , Liu Xueyun , Diao Shanshan , Kong Yan , Duan Xiaoyu , Yang Si , Liu Sanjiao 
Published: April 2019

Abstract
Background: The correlation between H-type hypertension and cerebral small-vessel diseases (CSVD) remains uncertain. The present study was designed to explore the possible relationship between H-type hypertension and CSVD spectrum and total burden.
Methods: We included 329 patients in the present study and divided them into four groups: H-type hypertension group, the isolated hypertension group, the isolated hyperhomocysteinemia (HHcy) group and the control group. Clinical variables of interest and the MR examination sequences were obtained. We count the presence of each CSVD feature and rated the total burden of CSVD on an ordinal scale from 0 to 4 according to a recent described score rule.
Results: The results showed that H-type hypertension was associated with the presence of CMB and the severity of WMH and PVS. CSVD total burden was significantly related to age (OR: 1.059, 95% CI: 1.037-1.082), systolic pressure (OR: 1.122, 95% CI: 1.007-1.136), triglycerides (OR: 1.386, 95% CI: 1.037-1.854), isolated HHcy (OR: 4.154, 95% CI 1.836–9.401) and H-type hypertension (OR: 5.028, 95% CI 2.323-10.883). And we further observed hypertension and HHcy had a synergistic effect on CSVD total burden (OR: 2.776, 95% CI 1.564-4.927).
Conclusions: H-type hypertension may act as an independent risk factor of CSVD and cause increased susceptibility to CSVD total burden and CSVD spectrum, which deserved further prevention measures.
Canola Emergence and Early Growth Were Not Affected by Allelopathic Properties of Wheat Residue
Authors: Wynne Kacie , Adams Curtis , Neely Clark , DeLaune Paul , Kimura Emi , Thapa Santanu 
Published: April 2019

Core Ideas
Negative impacts of fresh wheat residue on canola were demonstrated in the lab.
No negative impacts were observed in pot conditions that mimicked the field.
Results were generally consistent across 15 wheat varieties and 2 soils.
Negative impacts of wheat residue reported on canola are likely physical impacts.
Wheat (Triticum aestivum L.) has been studied for its residual chemical effects on other crop plants, which are often cultivar‐specific, but its effects on canola (Brassica napus L.), a crop increasingly rotated with wheat, are less understood. Because canola production is spreading to new areas, including the US Southern Great Plains, our objective was to evaluate the potential for allelopathic properties of wheat residue from regional cultivars to negatively impact emergence and early growth of canola. A laboratory study was conducted, establishing a baseline for potential allelopathic effects, and an outdoor pot study was conducted, designed to test for these effects in conditions mimicking field conditions and crop management (e.g., residue weathered on the soil surface for the summer to simulate fallow). In the laboratory, with exposure to fresh wheat residue extracts, canola germination was delayed, but persistent, concentration‐dependent negative effects on radicle elongation were observed, similar to other reported results. In the pot studies, wheat residue did not affect canola emergence, with minimal variation among 15 wheat cultivars tested in two soils, and early growth increased by an average of 23% with residue treatment. The canola emergence and early growth results indicated an absence of allelopathy at planting and the presence of growth‐promoting factors following wheat residue application. Together, these studies indicate that allelopathic properties of wheat residue can negatively impact canola in laboratory conditions, but suggests these effects are not likely to be realized under typical field conditions. Negative impacts of wheat residue on canola, which have been reported, are likely physical in nature.
Evaluating Starter Fertilizer Applications in Grain Sorghum Production
Authors: Lofton Josh , Arnall D. B. , Sharma Sumit , Nisly Camron 
Published: April 2019

Core Ideas
The application of in‐furrow starter fertilizers did not consistently improve yields over the non‐treated control.
Applying high rates of starter fertilizer close to the seed resulted in decreased emergence, which can potentially result in diminished yields.
The use of fertilizer additives did not improve yields over non‐treated ammonium polyphosate in‐furrow starter applications.
Starter fertilizers have been documented as a successful practice for several crops. However, information on these fertilizer applications on grain sorghum [Sorghum bicolor (L.) Moench] is very limited. This research was conducted to evaluate the impact of in‐furrow starter fertilizers on grain sorghum establishment and yields in the southern Great Plains. Studies were conducted at four sites across Oklahoma in 2014 and two sites in 2015. Trials evaluated eight in‐furrow starter fertilizer treatments as well as a non‐treated check. Stand counts were collected 1 mo following planting to evaluate impact on stand establishment. At maturity, plot grain weights were used to estimate grain yield. Starter fertilizer applied at high rates (187 L ha−1) reduced stands in four of six site locations by an average of 2.0 plants m−2. This resulted in nearly a 21% decrease in yields. Positive yield effects from in‐furrow starter fertilizers were not consistent, with only one location having significantly greater yields compared with the non‐treated check. The addition of fertilizer additives did not have a significant effect on sorghum yields. However, with the lack of positive yield results from in‐furrow starter fertilizer, it was unexpected that these additives would provide additional yield. These results suggest little yield advantage of in‐furrow starter fertilizers in grain sorghum production. Furthermore, if in‐furrow starter fertilizers are used in sorghum production, higher application rates could result in decreased stand establishment, potentially resulting in lower yields.
Taqman hydrolysis probe application for Escherichia coli, Salmonella enterica, and Vibrio cholerae detection in surface and drinking water
Authors: El-Sayed Ahmed K. A. , Abou-Dobara Mohamed I. , Abdel-Malak Camelia A. , El-Badaly Amira A. E. 
Published: April 2019

Abstract
This study explored the applicability of using TaqMan qPCR (quantitative polymerase chain reaction) for Escherichia coli, Salmonella enterica and non-virulent Vibrio cholerae detection in surface and drinking water. One hundred and twenty water samples were collected monthly (January 2017–December 2017) from the surface water (input) and drinking water (output and distribution networks) of two drinking water treatment plants (DWTPs) in Damietta County, Egypt. The distribution of the studied bacteria based on their detection by TaqMan qPCR compared with membrane filtration (MF) technique showed that the higher positive samples were detected by TaqMan qPCR. The bacterial count was totally absent in all output samples. TaqMan qPCR assay (based on sequence detection of uidA, invA, and ompW) revealed 97.96%, 99.14%, and 98.3% specificity for E. coli, S. enterica, and non-virulent V. cholerae, respectively, compared with 100% specificity for all strains when MF cultures were applied. TaqMan qPCR exhibited 100% sensitivity for all strains, while it was 91.67%, 80%, and 50% using MF cultures for E. coli, S. enterica, and non-virulent V. cholerae, respectively. In conclusion, TaqMan qPCR sensitivity makes it a useful tool for urgent fast monitoring of water contamination, especially in network samples that contain low bacterial count.
Pre-magnetization for enhancing the iron-catalyzed activation of peroxymonosulfate via accelerating the corrosion of Fe0
Authors: Liu Yunxin , Zhou Peng , Huo Xiaowei , Liu Yang , Cheng Xin , Zhang Yongli 
Published: April 2019

Abstract
Our findings proved that micron-scale zero-valent iron (mZVI) particles with pre-magnetization combined with peroxymonosulfate (PMS) can markedly enhance the removal of acid orange 7 (AO7). Investigation into the mechanism showed that PMS accelerated the corrosion of ZVI to release Fe2+ under acidic conditions, and the in-situ generated Fe2+ further activated PMS to produce SO4•− and •OH, resulting in AO7 removal. Further, the Lorentz force strengthened the convection in the solution and the field gradient force tended to move Fe2+ from a higher to a lower field gradient at the pre-magnetized ZVI (Pre-ZVI) particle surfaces, thus indicating that pre-magnetization promoted the corrosion of ZVI to release Fe2+, which resulted in the enhancement of PMS activation. Nano-scale ZVI (nZVI) was more effective than mZVI in activating PMS to degrade AO7, but the pre-magnetization effect on mZVI was better than on nZVI. AO7 removal increased with higher ZVI and PMS dosage, lower AO7 concentration, and acidic conditions (pH = 2, 3). This study helps to understand the reactive radicals-based oxidation process with application of pre-magnetized ZVI in activating PMS.
Rapid Characterization of Quorum Sensing Inhibitory Molecules from Garcinia indica Choisy Seed Methanol Extract by GC-MS Analysis
Authors: Shastry Rajesh P. , Aman Mohammed 
Published: April 2019

Background:
Bacteria communicate by producing small signaling molecules to maintain
threshold cell density. Quorum sensing inhibition is an effective and most potent approach for the prevention
of cell to cell communication.

Methods:
In the present study, the methanol extract of Garcinia indica was tested for anti-quorum sensing
activity using Chromobacterium violaceum as a biosensor. The extract inhibited violacein production
in biosensor strain without affecting the growth of the bacteria and this was corroborated by
bioautography assay.

Results:
The bioactive fraction was analysed by the aid of GC-MS revealed that, the presence of coumarin
(7-hydroxy-3-(1,1-dimethylprop-2-enyl) coumarin) and eugenol (1,2-dimethoxy-4-(1-methoxy-1-
propenyl) benzene) derivatives as anti-quorum sensing molecules.

Conclusion:
A detailed investigation is required to study the mechanism of action involved in control
of quorum sensing signals and possible applications.
Injury Patterns of Equine-Related Trauma
Authors: Liaw Frank , Govilkar Siddharth , Woo Timothy , Britton Ingrid , Youssef Bishoy , Lim Justin 
Published: April 2019

Introduction:Equestrian sports are popular in the United Kingdom (UK), with approximately 2.7 million people of all ages participating in equine-related sports in 2015. These sports are not without risk; the position of the mounted rider puts them at risk of injuries sustained by fall from a height, compounded by movement at speed. The aim of this study was to characterise demographics and injury patterns of equine-related trauma presentations at a major trauma centre in the UK.Methods:From a trauma admissions database and electronic search of radiology requests including keywords “equine”, “equestrian”, “horse”, and “pony” with cross-referencing from ICD-10 coding, 144 patients were identified to have presented to an adult major trauma centre with equine-related injuries from falls while mounted over a 3-year period.Results:Females accounted for 86% of patients (n = 123). The most common presenting age group was age 20-29, but most injuries occurred with patients of ages 50-59. Spinal injuries accounted for 41% (n = 69) of all injuries and occurred in a similar proportion in all age groups. Upper limb injuries accounted for 100% of injuries in those aged 0-9. 39% (n = 56) of patients required operative management for their injuries.Conclusion:We have been able to identify which body zones of injury are more at-risk in equine-related sports following falls from mounted riders, and recognize how certain injury patterns may be more prevalent in particular age groups. Spinal injuries have been demonstrated to be a new leading zone of injury, possibly due to stricter legislation from government and industry leading to the relative reduction of head injuries. Reducing the number and severity of these injuries will not only improve patient outcomes but reduce the burden on the healthcare system.
Using Genetic Algorithms to study the Effect of Cellulose Fibers Ratio on the Fiber-Matrix Interface Damage of Biocomposite Materials
Authors: Atig Khadidja , Mokaddem Allel , Meskine Mohamed , Doumi Bendouma , Belkheir Mohammed , El Keurti Mohammed 
Published: April 2019

Background:In this article, we have studied the effect of cellulose fibers ratio on the fiber matrix interface damage of biocomposite materials based on a Polypropylene (PP) matrix.Methods:Few patents on the effect of cellulose fibers ratio on the fiber-matrix interface damage of biocomposite materials were published. We have investigated this damage, using a metaheuristic simulation based on the two Weibull probabilistic models which successively described the damage of the fiber and the matrix, our objective function is presented by the Cox model.Results:The results of our genetic modeling confirm that the level of damage is related to the mechanical stresses applied to the five studied materials Cotton-Polypropylene, Jute-Polypropylene, Flax- Polypropylene, Ramie-Polypropylene and Aramid-Polypropylene. Our genetic modeling indicates that the rate of cellulose in each fiber has a significant influence on the progressive degradation of the interface. The numerical simulation compared to the result obtained by genetic algorithm for the Aramid- Polypropylene composite shows that the level of degradation of the interface is greater compared to other biocomposite materials and that Cotton-Polypropylene has a very low interface damage compared to other biocomposites (82.5% cellulose).Conclusion:It can thus be said that the model correctly took into account the degradation phenomenon of a unidirectional composite and biocomposite and our calculations coincide perfectly with the conclusions of Antoine et al. who determined that the rate of cellulose in each fiber participates in the improvement of the mechanical properties of biocomposite materials.
Removal of Phenol from Organic System by Using Ionic Liquids
Authors: Mathews Ciji S. , Bhosale Vikas K. , Kulkarni Prashant S. , Kamble Sanjay P. 
Published: April 2019

Objective:
Selective removal of phenol from organic solvent mixture (benzene
+ toluene + hexane) or other petroleum by-products have a major concern. Hence,
the experiments were conducted on the removal of phenol from synthetically prepared
phenolic organic waste by using a green process, ionic liquids.

Methods:
The ionic liquids, 1-ethyl-3-methyl imidazolium cyanoborohydride, and 1-
butyl-3-methyl imidazolium hexafluorophosphate were used for the extraction study.
The effect of various operating parameters such as the type of ionic liquids, effluent
temperature, extraction time, and the phase volume ratio of ionic liquid and phenol has
been studied in details. The ionic liquid, 1-ethyl-3-methyl imidazolium cyanoborohydride
selectively extracted 95 % of the phenol from the synthetically prepared organic
oil mixture of benzene and toluene, with an initial phenol concentration was 100 ppm.
Further, ionic liquids were recycled and reused for six consecutive studies with removal
efficiency of about 74%. Additionally, a batch reactor study was conducted to find
the process viability for industrial use and 92% phenol removal efficiency was
achieved.

Results:
The study demonstrates the selective removal of phenol from petroleum oil
using ionic liquids is a simple and environmentally friendly process for industrial use.

Conclusion:
This method cannot only extract phenol but also phenol-derived compounds
may be extracted from hydrocarbon oil.
A Comprehensive Review of Smart Systems through Smart Materials
Authors: Vasanthanathan A. , Menaga S. , Rosemi K. 
Published: April 2019

Background:The vital role of smart materials in the field of aircraft, spacecraft, defence, electronics, electrical, medical and healthcare industries involve sensing and actuating for monitoring and controlling applications. The class of smart materials are also named as active materials or intelligent materials or adaptive materials. These materials act intelligently based upon the environmental conditions. Structures incorporated with smart materials are named as smart structures.Methods:The principal objective of the present paper is to explore a comprehensive review of various smart materials viz. piezoelectric materials, Shape Memory Alloy, micro sensors and fibre optic sensors. The significance of these intelligent materials in various fields are also deliberately presented in this work from the perspective of Patents and literatures test data.Results:Smart Materials possesses multifunctional capabilities. The smart materials viz. piezoelectric materials, Shape Memory Alloy, micro sensors and fibre optic sensors are embedded with structures like aircraft, spacecraft, automotive, bridges, and buildings for the purpose of exhibiting Structural Health Monitoring system. Smart materials are finding increasing applications in the present aircraft, spacecraft, automotive, electronics and healthcare industries.Conclusion:Innovative ideas would become reality by integrating the any structure with Smart Materials.
Automation of Data Flow Class Testing Using Hybrid Evolutionary Algorithms
Authors: Jain Neetu , Porwal Rabins 
Published: April 2019

Background:
Software testing is a time consuming and costly process. Recent advances
in complexity of software have gained attention among researchers towards the automation of generation
of test data.

Objective:
This paper focuses on the structural testing of object oriented paradigm based software
and proposes a hybrid approach to automate the class testing applying heuristic algorithms.

Methods:
The proposed algorithm performs data flow testing of classes applying all defuses adequacy
criteria by automatically generating test cases. A nested 2-step methodology is applied using
meta-heuristic genetic algorithm and its two variant (GA-variant1 and Ga-variant2) to produce optimized
method sequences.

Results:
An experiment is performed applying proposed algorithm on six test classes. The results
suggest that proposed approach with GA-variant1 is better than other techniques in terms of Average
d-u coverage and Average iterations.
Feature Selection Method Based on Grey Wolf Optimization and Simulated Annealing
Authors: Pandey Avinash C. , Rajpoot Dharmveer S. 
Published: April 2019

Background:
Feature selection sometimes also known as attribute subset selection is a process in
which optimal subset of features are elected with respect to target data by reducing dimensionality and removing
irrelevant features. There will be 2n possible solutions for a dataset having n number of features that
is difficult to solve by conventional attribute selection method. In such cases metaheuristic-based methods
generally outruns the conventional methods.

Objective:
The main aim of this paper is to enhance the classification accuracy and minimize the number of
selected features and error rate.

Methods:
To achieve the objective, a binary metaheuristic feature selection method bGWOSA based on
grey wolf optimization and simulated annealing has been introduced. The proposed feature selection method
uses simulated annealing for equalizing the trade-off between exploration and exploitation. The performance
of the proposed binary feature selection method has been examined on the ten feature selection
benchmark datasets taken from UCI repository and compared with binary cuckoo search, binary particle
swarm optimization, binary grey wolf optimization, binary bat algorithm and binary hybrid whale optimization
method.

Results:
The proposed feature selection method achieves the highest accuracy for the most of datasets compared
to state-of-the-art. Further, from the experimental and statistical results, efficacy of the proposed feature
selection method has been validated.

Conclusion:
Classification accuracy can be enhanced by employing feature selection methods. Moreover,
performance can also be enhanced by tuning the control parameters of metaheuristic methods.