Miracle-dz/UniFAR-FTUs huggingface dataset:
Rainfall-Runoff calibration for semi-arid ungauged basins based on the cumulative observed hyetograph and SCS Storm model : Application to the Boukhalef watershed ( Tangier , North Western Morocco )

The aim of the present study is to design urban storm rainfall distribution curve for semi-arid ungauged basins by which storm runoff can be predicted accordingly. The rainfall-runoff modeling is based on the storm event which occurred on the 23th of October 2008 on the Boukhalef river basin (southwest of Tangier), using modern simulation tools, namely the Hydrologic model as well as Remote Sensing technic and Geographical Information System software (ArcGIS, HEC-GeoHMS). The study aims also to predict the design of peak flow for the 200-, 100-, 50-, 20-, 10-, and 5-years return periods. The problem most often encountered in this area is the need for estimating runoff from a watershed for which there are records of daily rainfall but no records of runoff. The objective of modeling the Boukhalef watershed is to set up the rainfall-runoff model using the HEC-HMS hydrological model and GIS. This model provides various meteorological and hydrological processes to obtain flood hydrographs. For this purpose, the determination of referential form of the hydrograph and hydrological parameters to predict frequency flows for different return periods was performed based on the concept of Curve Numbers of US Natural Resources Conservation Service (NRCS). The results of this study show that the SCS-24 Type I storm represents the best distribution to simulate the rainfall-runoff event for each return interval, because, during the same storm event, it is the most similar to the observed instantaneous rainfall at the neighboring gauged watershed called Kalaya. Received 22 Nov 2016, Revised 03 Apr 2017, Accepted 09 Apr 2017
Control Orientation and Firm Performance: Test of an Agency Theory Interpretation of Strategic Human Resource Management

Agency theory is used to develop an approach toward organizational control that elaborates upon the construct underlying strategic human resource management. Additionally, firm risk is examined as a moderator to determine how control orientation affects firm performance. A sample of initial public offering firms is studied, and both short and long-term stock price, in addition to firm survival, are predicted. Results support agency and SHRM notions that incentive alignment increases stock price in high risk firms; however, it negatively affects firm survival. Several explanations for the polarizing effect of risk are discussed
Intérêts et limites du bilan neuropsychologique dans le cadre de l’expertise médicolégale Value and limitations of the neuropsychological evaluation in forensic practice

In the context of medico-legal assessment, a valid evaluation of the consequences of a cranial traumatism in the cognitive sphere (and more generally psychological) cannot be done without recourse to rigorous and standardized psychological methods. However, if the criteria contributing to the viability of the cognitive evaluation are known—relevance of theoretical bases, quality of reference norms, taking into account the practical and cultural factors liable to influence performance, identification of simulation behaviors, etc.—these can be improved upon. The objective of this article is to present the value, but also the limitations, of neuropsychological evaluation in a medico-legal setting, while emphasizing the need for clinical research to continue to commit itself to improve the validity of psychological evaluation methods. To cite this journal: Douleur analg. 24 (2011).
VALUE CREATION IN ELECTRIC VEHICLE

Electric vehicles (EV) are gaining a prominent share of the trillion-dollar automotive market. The growth is fueled by falling battery prices, tightening emission standards, government subsidies and increasing competition. The rise of EV’s creates a need for, and also depends on, charging infrastructure on a large scale. Electric vehicle charging networks are services that are used to manage and enable access to charging points. This study aims to understand how these networks can succeed in the tightening competition by examining what factors contribute to the value of an EV charging network for its participants. To reach this goal an explanatory single case study was conducted. The case examined a public EV charging network in Finland. First, earlier research in platform economics and EV charging were used to understand the context and to synthesize a theoretical framework. Next, empirical data was collected primarily with semi-structured interviews. Finally, pattern matching was used to analyze the data. Based on the results, the EV charging industry is still its infancy. EV charging networks mediate transactions between EV drivers and charging point owners (CPO), enabling exchange of information, control of charging points, and payments. Various signals suggest an expansion towards the energy system, as EV charging networks are likely to start aggregating and mediating vehicle-to-grid (V2G) services between EV drivers and energy market agents. The results suggest two focus areas as key factors creating value for participants. Firstly, the main contributor to the success of an EV charging network is the amount of charging points connected to it. This is mainly due to EV drivers’ strong positive cross-side network effects and to CPOs’ strong positive same-side network effects. Secondly, an EV charging network’s boundary resources should be designed to maximize efficiency for both sides. For EV drivers, charging is a mundane task that needs to be as effortless as possible. For CPO’s, offering charging is not a main business, but a relatively small value-added service. This study serves as a starting point for a new research stream, converging EV charging with platform economics research. In addition, the results help researchers in understanding the state of the industry and network operators in making strategic decisions.
Revision 2 1 On Silica-Rich Granitoids and their eruptive equivalents 2

7 Silica-rich granites and rhyolites are components of igneous rock suites found in many 8 tectonic environments, both continental and oceanic. Silica-rich magmas may arise by a 9 range of processes including partial melting, magma mixing, melt extraction from a 10 crystal mush, and fractional crystallization. These processes may result in rocks 11 dominated by quartz and feldspars. Even though their mineralogies are similar, silica-rich 12 rocks retain in their major and trace element geochemical compositions evidence of their 13 petrogenesis. In this paper we examine silica-rich rocks from a variety of tectonic 14 settings, and from their geochemical compositions identify six groups with distinct 15 origins. Three groups form by differentiation: ferroan alkali-calcic magmas arise by 16 differentiation of tholeiite, magnesian calc-alkalic or calcic magmas form by 17 differentiation of high-Al basalt or andesite, and ferroan peralkaline magmas derive from 18 transitional or alkali basalt. Peraluminous leucogranites form by partial melting of pelitic 19 rocks, and ferroan calc-alkalic rocks by partial melting of tonalite or granodiorite. The 20 final group, the trondhjemites, is derived from basaltic rocks. Trondhjemites include 21 Archean trondhjemites, peraluminous trondhjemites, and oceanic plagiogranites, each 22 with distinct geochemical signatures reflecting their different origins. Volcanic and 23 plutonic silica-rich rocks rarely are exposed together in a single magmatic center. 24
Unsteady simulations of rocket plume expansions in geostationary earth orbit

Unsteady, direct simulation Monte Carlo/particle-in-cell simulations of rocket plume expansions into the magnetosphere at geostationary Earth orbit are presented for three rocket thruster pulse durations: 0.1, 1.4, and 9.9 s. The chemical rocket thruster ejects hydrazine combustion products at a mass flow rate of 4.5×10−4 kg/s, and the number densities is computed as a function of time for distances up to 35 km from the rocket thruster. The plume reaches steady-state operation 1 km downstream of the rocket thruster before the thruster is shut off at 1.4 s, and steady-state operation is reached as far as 20 km downstream of the rocket thruster for the 9.9 s pulse duration. An analytic expression for free molecular flow expanding into a vacuum is compared to the unsteady simulations for number densities and flow velocities, and the influences of energetic protons and electrons emitted from the sun on predicted total number densities are investigated.
Imbalanced Data Set CSVM Classification Method Based on Cluster Boundary Sampling

This paper creatively proposes a cluster boundary sampling method based on density clustering to solve the problem of resampling in IDS classification and verify its effectiveness experimentally. We use the clustering density threshold and the boundary density threshold to determine the cluster boundaries, in order to guide the process of resampling more scientifically and accurately. Then, we adopt the penalty factor to regulate the data imbalance effect on SVM classification algorithm. The achievements and scientific significance of this paper do not propose the best classifier or solution of imbalanced data set and just verify the validity and stability of proposed IDS resampling method. Experiments show that our method acquires obvious promotion effect in various imbalanced data sets.
Genetic Diversity of the Pathogen Streptococcus parauberis Isolated from Bovine and Piscine Hosts

PAGE Streptococcus parauberis is an important pathogen of cattle and fish that is associated with significant economic losses due to bovine mastitis and piscine streptococcosis. This study utilized randomly amplified polymorphic DNA (RAPD) PCR and pulsed-field gel electrophoresis (PFGE) analysis, and developed a novel multilocus sequence typing (MLST) scheme, to elucidate the molecular epidemiology and phylogenetic relatedness of S. parauberis strains isolated from various hosts. The results reveal that S. parauberis is a highly genetically homogenous species. However, the differences that do exist indicate that cattle isolates are more genetically diverse compared to the more clonal population of piscine isolates. Phylogenetic analyses that cluster S. parauberis isolates together by host type imply pathogenic lifestyles that differ depending upon host the species they occupy. Finally, this study identified two novel plasmids in fish strains of S. parauberis that may influence the population structure of the species.
Endocrine dysfunction during sepsis—are changes in hormone levels a physiological adaptation or a therapeutic target?

During the acute phase of sepsis, defined as a life-threatening organ-dysfunction caused by a dysregulated host response to an infection, patients often show severe changes in hormones and metabolic markers. These include downregulation of hormones such as TSH, T3, testosterone and estrogen, and an upregulation of other hormones such as cortisol, vasopressin, insulin-like growth factor I (IGF-I) and insulin. Whether these endocrine changes during sepsis are part of a physiological response and have beneficial effects on clinical outcomes, or in contrast, further worsen the clinical course and need therapeutic modulation has important therapeutic implications. The objective of this review is to discuss the current pathophysiological concepts underlying hormonal changes that frequently occur in patients with sepsis and important modulation factors (e.g., acute vs. chronic illness, pre-existing illness among others).
LiPF3 ( CF 2 CF 3 ) 3 : A Salt for Rechargeable Lithium Ion Batteries

LiPF 3 (CF 2 CF 3 ), from Merck KGaA (LiFAP) was tested as a new electrolyte for Li-ion batteries that can replace the commonly used LiPF 6 . The latter salt is known to be unstable, to decompose thermally to LiF and PF 5 , and to readily undergo hydrolysis with protic species to form HF contamination in solutions. The latter contamination may have a detrimental impact on the performance of both anodes and cathodes for Li-ion batteries. Solutions comprising LiFAP, LiPF 6 , and LiN(SO 2 CF 5 CF 3 ) 2 (LiBETI) in mixtures of ethylene, dimethyl, and diethyl carbonates were tested with composite graphite and LiMn 2 O 4 electrodes. The tools for this study included voltammetry (fast and slow scan rates), chronopotentiometry, impedance spectroscopy, Fourier transform infrared, and X-ray and photoelectron spectroscopies. It was found that LiFAP is superior to LiPF 6 as an electrolyte for both graphite anodes and LiMn 5 O 4 cathodes. This should be attributed to the different surface chemistry developed on these electrodes when LiPF 6 is replaced by LiFAP. An important impact of such a replacement is probably the absence of possible pronounced HF contamination in LiFAP solutions.
Isolation and identification of Candida albicans to produce in house helicase for PCR

Candida albicans is a dimorphic fungus that can grow in a wide range of temperature. In such case, this microorganism has the potential to produce enzymes that able to function at elevated temperature. These enzymes are also essential in the field of molecular biology and recombinant technologies. Therefore, the enzymes produced by Candida albicans could be applied in the polymerase chain reaction (PCR). The PCR is the most widely used in DNA amplification. In this study, Candida spp. were successfully isolated and collected from Hospital Universiti Sains Malaysia, Kubang Kerian, Kelantan, Malaysia. Different culture media were used to identify the morphology of colony. Based on the colonies growth on chromogenic agar, Candida sp. was identified. Microscopic examination (light and scanning microscopy) was carried out to identify the morphology of the isolate. A presumptive identification of germ tube test was performed to find out the dimorphic and pathogenicity characteristic of isolate. The formation of germ tubes from the isolate showed positive result of Candida albicans . A commercial Analytical Profile Index (API) Candida identification kit was used in this study as a phenotypic identification of Candida sp. The result of API Candida was confirmed that the isolate was the Candida albicans . Candida albicans was successfully isolated and identified phenotypically in this study for future in house helicase production.
Simulation and field measurements of phytoplankton-bacteria-zooplankton interactions in the southern Benguela upwelling region

A general s~ze -based model IS used here to p red~c t he complex tempoial successlons observed in planktonic communities after an upwelling event In the southern Benguela and to lesolve a number of fundamental questions regarding the t roph~c dynamlcs ot the p e l a g ~ c food web The model was not based on field data, and simulat~on results do not exactly mimic field and laboratory results Nonetheless, the s~mulation model makes a major contr~butlon towards our understdnding of the dynamlcs of the planktonic food web after up\uell~ng The model predicts r a p ~ d growth ot d phytoplankton community dominated by nanophytopldnkton-sized cells and d ldter netphytopldnkton bloom After nitrate depletion the bloom 1s dominated by ndnophytoplankton dependent upon regenerated nltrogen Analysls of C and N flows showed thdt resplrat~on and graLlng we ie largely responsible for the decline of the phytoplankton bloom, accounting for 47 and 44 ". , respectively of the total C fixed by phytoplankton over the 20 d period Mesozooplankton grazed 62 Yu of the decllnlng bloom (Days 10 to 201, but only 18 'Yu of the total C flxed This was due to the dominance of nanophytoplankton primary producers which were unavailable to the larger mesozooplankton but were consumed by miclozooplankton The m~croblal food web played an important role In N cycllng and in the production of mesozooplankton throughout the simulat~on period To determine the ~e l a t ive Importance of the classical dlatom-dom~nated food chaln versus the microbial food web during one upwelling event, network analys~s was used to assess C and N flows In the model foodweb The total dependency coeffic~cnts showed that mesozooplankton depend malnly on netphytoplankton (76 " c , ) for C dunng the first 10 d of the phytoplankton bloom but depend equally on netphytoplankton (70%) and microzooplankton (69 %) for N Dunng the last 5 d of the bloom the biomass of both major prey items is low, and mesozooplankton depend equally (21 to 22 "$,) on netphytoplankton and microzooplankton for both C and N Food chains are longer and trophic effic~ency decreases The frequency of upwel l~ng in the southern Benguela may thus be an impoltant fact01 determining the relative dominance of short diatom-based food chains versus the m~crobial food web and therefore the annual y ~ e l d of p e l a g ~ c fish
Effects of Ocean Acidification on Marine Photosynthetic Organisms Under the Concurrent Influences of Warming, UV Radiation, and Deoxygenation

The oceans take up over 1 million tons of anthropogenic CO2 per hour, increasing dissolved pCO2 and decreasing seawater pH in a process called ocean acidification. At the same time greenhouse warming of the surface ocean results in enhanced stratification and shoaling of upper mixed layers, exposing photosynthetic organisms dwelling here to increased visible and UV radiation as well as to a decreased nutrient supply. In addition, ocean warming and anthropogenic eutrophication reduce the concentration of dissolved O2 in seawater, contributing to the spread of hypoxic zones. All of these global changes interact to affect marine primary producers. Such interactions have been documented, but to a much smaller extent compared to the responses to each single driver. The combined effects could be synergistic, neutral or antagonistic depending on species or the physiological processes involved as well as experimental setups. For most calcifying algae, the combined impacts of acidification, solar UV and/or elevated temperature clearly reduce their calcification; for diatoms, elevated CO2 and light levels interact to enhance their growth at low, but inhibit it at high levels of sunlight. For most photosynthetic nitrogen fixers (diazotrophs), acidification associated with elevated CO2 may enhance their N2 fixation activity, but interactions with other environmental variables such as trace metal availability may neutralize or even reverse these effects. Macroalgae, on the other hand, either as juveniles or adults, appear to benefit from elevated CO2 with enhanced growth rates and tolerance to lowered pH. There has been little documentation of deoxygenation effects on primary producers, though theoretically elevated CO2 and decreased O2 concentrations could selectively enhance carboxylation over oxygenation catalyzed by Rubisco and thereby benefit autotrophs. Overall, most ocean global change biology studies have used single and/or double stressors in laboratory tests. This overview examines the combined effects of ocean acidification with other features such as warming, solar UV radiation and deoxygenation, focussing on primary producers.
Shank3 Mice Carrying the Human Q321R Mutation Display Enhanced Self-Grooming, Abnormal Electroencephalogram Patterns, and Suppressed Neuronal Excitability and Seizure Susceptibility

Shank3, a postsynaptic scaffolding protein involved in regulating excitatory synapse assembly and function, has been implicated in several brain disorders, including autism spectrum disorders (ASD), Phelan-McDermid syndrome, schizophrenia, intellectual disability, and mania. Here we generated and characterized a Shank3 knock-in mouse line carrying the Q321R mutation (Shank3Q321R mice) identified in a human individual with ASD that affects the ankyrin repeat region (ARR) domain of the Shank3 protein. Homozygous Shank3Q321R/Q321R mice show a selective decrease in the level of Shank3a, an ARR-containing protein variant, but not other variants. CA1 pyramidal neurons in the Shank3Q321R/Q321R hippocampus show decreased neuronal excitability but normal excitatory and inhibitory synaptic transmission. Behaviorally, Shank3Q321R/Q321R mice show moderately enhanced self-grooming and anxiolytic-like behavior, but normal locomotion, social interaction, and object recognition and contextual fear memory. In addition, these mice show abnormal electroencephalogram (EEG) patterns and decreased susceptibility to induced seizures. These results indicate that the Q321R mutation alters Shank3 protein stability, neuronal excitability, repetitive and anxiety-like behavior, EEG patterns, and seizure susceptibility in mice.
Cardiac Proteome Profiling in Ischemic and Dilated Cardiomyopathy Mouse Models

Heart failure (HF) is a worldwide pandemic with an unacceptable high level of morbidity and mortality. Understanding the different pathophysiological mechanisms will contribute to prevention and individualized therapy of HF. We established mouse models for ischemic cardiomyopathy (ICM) and dilated cardiomyopathy (DCM) by inducing myocardial infarction (MI) and Coxsackievirus B3 infection, respectively. Isobaric tags for relative and absolute quantitation and liquid chromatography coupled with tandem mass spectrometry technology was used to identify the protein expression profiles in control and failing hearts. A total of 1,638 proteins were identified and compared in this proteomics analysis. Among them, 286 proteins were differently expressed. Gene ontology, KEGG pathway and ingenuity pathway analysis was performed to systematically assess the potential connections of the differentially expressed proteins to biological functions. Compared with control group, the differentially expressed proteins derived from the hearts of ICM and DCM mice were partially similar and mainly modulated in oxidative phosphorylation, metabolism and protein folding pathways. Moreover, difference still existed, the differentially expressed proteins between DCM and ICM hearts were significantly modulated in oxidative phosphorylation, metabolic and AMPK signaling pathways. Confirmatory western bolt analysis demonstrated that SDHB was down-regulated in both ICM and DCM hearts, while UQCRQ, GLUT4 and adiponectin were up-regulated in ICM hearts. Adenosine triphosphate (ATP) concentration significantly decreased in both DCM and ICM hearts. The protein expression of phospho-AMPKα decreased significantly in DCM hearts, but increased in ICM. In summary, oxidative phosphorylation, cardiac metabolism, and protein folding play critical roles in the pathogenesis of HF. The diverse changes in protein expression profiles between failing hearts induced by either MI or CVB3 infection demonstrated the heterogeneity of HF. Understanding the differences in proteome profiles could offer more precise therapeutic options for HF.