Miracle-dz/UniFAR-FTUs huggingface dataset:
Emotional Intelligence – A Condition of Managerial Success

Emotional intelligence is nowadays an essential attribute of any efficient manager who is concerned about achieving great results and being successful in his career and life. One can state, according to experts in the area, that success-oriented management begins with the manager’s inner life management, which is a difficult task. Before leading others, one must be able to analyze oneself, understand oneself and control one’s own feelings and emotions, also to empathize and develop constructive relationships in order to get oriented towards one’s goals and towards success. So that an institution should make progress, it is essential for the manager to create a working climate meant to provide the staff with a positive state, full of confidence and optimism, honesty and comfort. A successful manager is characterized by flexibility, adaptability to diverse situations and a positive mood, which enhances the employees’ achievements. Therefore, creating a healthy positive climate involves activating the components of both the manager’s and the employees’ emotional intelligence. Good self-knowledge helps managers organize themselves better, be more emphatic and coordinate their employees’ activity more efficiently towards professional performance, acting optimistically, enthusiastically, persuasively and firmly in order to achieve the objectives. They are motivated for reaching the highest results, for accomplishing their aims and thus they mobilize their positive emotions for this purpose. Developed emotional intelligence, with all its components, represents an asset, providing extra credibility and being at the same time a condition for a top manager who acts efficiently in a well-functioning organizational background.
Long-term Growth Impact of Climate Change and Policies: The Advanced Climate Change Long-term (ACCL) Scenario Building Model

This paper provides a tool to build climate change scenarios to forecast Gross Domestic Product (GDP), modelling both GDP damage due to climate change and the GDP impact of mitigating measures. It adopts a supply-side, long-term view, with 2060 and 2100 horizons. It is a global projection tool (30 countries / regions), with assumptions and results both at the world and the country / regional level. Five different types of energy inputs are taken into account according to their CO2 emission factors. Full calibration is possible at each stage, with estimated or literature-based default parameters. In particular, Total Factor Productivity (TFP), which is a major source of uncertainty on future growth and hence on CO2 emissions, is endogenously determined, with a rich modeling encompassing energy prices, investment prices, education, structural reforms and decreasing return to the employment rate. We present four scenarios: Business As Usual (BAU), with stable energy prices relative to GDP price; Decrease of Renewable Energy relative Price (DREP), with the relative price of non CO2 emitting electricity decreasing by 2% a year; Low Carbon Tax (LCT) scenario with CO2 emitting energy relative prices increasing by 1% per year; High Carbon Tax (HCT) scenario with CO2 emitting energy relative prices increasing by 3% per year. At the 2100 horizon, global GDP incurs a loss of 12% in the BAU, 10% in the DREP, 8% in the Low Carbon Tax scenario and 7% in the High Carbon Tax scenario. This scenario exercise illustrates both the “tragedy of the horizon”, as gains from avoided climate change damage net of damage from mitigating policies are negative in the mediumterm and positive in the long-term, and the “tragedy of the commons”, as climate change damage is widely dispersed and particularly severe in developing economies, while mitigating policies should be implemented in all countries, especially in advanced countries modestly affected by climate change but with large CO2 emission contributions.
Inference and validation of Synechocystis protein interaction network using orthology

To better understand the response of the model cyanobacterium Synechocystis to environ mental stresses, we aim at building regulatory networks by a co mbination of gene expression data and protein-protein interactions. The experimental generation of the interaction network remains difficult, but some large-scale interaction networks are available for a nu mber of model organisms, and systematic transfer of protein-protein interactions has beco me a central task of functional genomics. Consequently, we have investigated the domain of network inference and validation through the use of protein orthologs using the concept of "interologs". In this way we expect to quantitatively expand the Synechocystis protein interaction network. We first used seven organisms separately to transfer interactions onto Synechocystis, then we combined the predictions and are now investigating the validation of these predictions using domain-domain interactions and functional annotation.
50nW Opamp-Less ΔΣ-Modulated Bioimpedance Spectrum Analyzer for Electrochemical Brain Interfacing

A fully integrated 130-nm CMOS 12-channel biofouling-resistant potassium-selective brain neurochemistry impedance spectrum analyzer is presented. Each 0.004 mm2 channel is an amperometric readout circuit composed of an opamp-less delta-sigma-modulated analog-to-digital converter (ADC) that consumes only 50 nW of power from a 0.6-V supply. The latter is analytically proven to be approximately equivalent to the former under conditions that are typical for the biochemical microsensors. The circuit also includes a low-power multiplierless frequency response analysis (FRA) unit that performs bioimpedance extraction. The channel achieves 1 pA current sensitivity and attains 50.3-dB signal-to-noise-and-distortion ratio (SNDR). The impedance analyzer achieves a dynamic range of 1 pA to 20 nA and a 5-kHz frequency scan range. The 2 mm $\times \,\,1$ mm die has been validated in vivo in real-time multisite potassium sensing in the rodent brain using gold microelectordes implemented on a polyimide substrate.
Using microsatellite DNA to genetically identify a potential hybrid population of endangered massasauga rattlesnakes (Sistrurus catenatus) in north central Missouri

DNA-based genetic techniques can be used to identify individuals in wild populations whose ancestry is uncertain. The massasauga rattlesnake is a small rattlesnake found from central New York to southeastern Arizona. It is currently described as consisting of three subspecies: the eastern massasauga (Sistrurus catenatus catenatus), the western massasauga (Sistrurus c. tergeminus) and the desert massasauga (Sistrurus c. edwardsii). Due to morphological similarities between eastern and western massasaugas in north central Missouri (where the range of S. c. catenatus meets that of S. c. tergeminus), there is debate over the species identity of individuals in this population and the possibility that it is a hybrid population has been suggested. Here, I use microsatellite DNA from western and eastern massasaugas to determine the species identity of a central Missouri population. To do this, I used a combination of clustering analysis and distance-based phylogenetic analysis to determine the relationships among the western, eastern, and central Missouri populations. Cluster-based analysis using the program Structure showed that the central Missouri population clustered strongly with the western (tergeminus) populations. Distance-based phylogenetic analysis of populations also grouped the Missouri population with western populations and analysis of all individuals grouped the central Missouri individuals together with the western individuals. These results show that the western massasauga and central Missouri population are genetically similar, and both are highly differentiated from eastern massasauga populations. Therefore this data strongly suggests that the central Missouri population is Sistrurus c. tergeminus. This has the implications that one of the criteria for special protection status of this population has been removed and that the range of S. c. catenatus does not extend west of the Mississippi River which supports the possibility that the Mississippi River acts as a phylogeographical barrier for massasauga rattlesnakes. Introduction: Natural hybridization is an enduring subject that evolutionary biologists have discussed extensively (Barton 2001, Mayr 1963, Arnold 1997). Evolutionary biologists focused much of their early hybridization research towards plants. Many argued that hybridization in plants was relatively widespread and that hybridization could support speciation (Grant 1971, Stebbins 1959, Anderson 1948, 1949, Rieseberg 1997, and Arnold 1996). The role of hybridization in the evolution of animal speciation traditionally has been disregarded as mostly insignificant except
LIBERAÇÃO SINAPTOSSOMAL DE GLUTAMATO INDUZIDA PELA FRAÇÃO Bc2 DO VENENO DA ANÊMONA DO MAR Budonosoma caissarum

Toxins from natural sources have shown to be useíiil tools for the investigation of synaptic transmission. Sea anemone venom contains many polypeptide toxins, including cytolysins and neurotoxins. The present study was xmdertaken to investigate the effects of Bc2, a cytolytic fraction from the venom of the sea anemone Budonosoma caissarum, on glutamate release, as well as the efifect of Bc2 on free cytoplasmatic and Na^ concentration in rat brain synaptosomes. Glutamate release was measured by isotopic and fluorimetric assay. Changes in [Ca^^i and [Na"^! were monitored continuously in Fura-2 or SBFI-loaded synaptosomes, respectively. The results showed that Bc2 (2-20 |j.g/mL) stimulated glutamate release in a dose dependent manner. Bc2 was not lytic to synaptosomes as inferred by LDH assay and by the fact that KCl was able to induces glutamate release from synaptosomes previously incubated with Bc2. Bc2-induced glutamate release in the absence of extracellular Ca^ ̂ was greater than that observed in the presence of Ca^ . ̂ Sphingomyelin blocked the glutamate release rnduced by Bc2 suggesting the involvement of a cytolysin in the Bc2induced glutamate release. The stimulatory efifect of Bc2 was also observed in the presence of tetrodotoxin or dihydrokaioate, indicating that the voltage sensitive Na^ channels or glutamate transporter are not involved. Bc2 increased the [Ca^" ! ̂ and [Na^i in a biphasic pattem. These efifects persisted in the presence of both gadolinium and tetrodotoxin, suggesting that voltage-sensitive and Na^ channels are not involved, respectively. Whereas Bc2 was more potent than KCl, ionomycin and granaicidin in stimulating glutamate release, it was equipotent as KCl and less potent than ionomycin in increasing [Ca^" î. Taken together, these data suggests that elevation of [Ca^" î and [Na^i and the stimulatory efifect on glutamate release by Bc2 are not coupled events. No definitive evidence about the mechanism imderlying the stimulatory efifect of Bc2 on the glutamate release is available as yet. However, a direct interaction with exocytosis machinery cannot be ruled out.
Population Pharmacokinetic Study of the Suitability of Standard Dosing Regimens of Amikacin in Critically Ill Patients with Open-Abdomen and Negative-Pressure Wound Therapy

The aim was to assess the appropriateness of recommended regimens for empirical MIC coverage in critically ill patients with open-abdomen and negative-pressure therapy (OA/NPT). Over a 5-year period, every critically ill patient who received amikacin and who underwent therapeutic drug monitoring (TDM) while being treated by OA/NPT was retrospectively included. A population pharmacokinetic (PK) modeling was performed considering the effect of 10 covariates (age, sex, total body weight [TBW], adapted body weight [ABW], body surface area [BSA], modified sepsis-related organ failure assessment [SOFA] score, vasopressor use, creatinine clearance [CLCR], fluid balance, and amount of fluids collected by the NPT over the sampling day) in patients who underwent continuous renal replacement therapy (CRRT) or did not receive CRRT. ABSTRACT The aim was to assess the appropriateness of recommended regimens for empirical MIC coverage in critically ill patients with open-abdomen and negative-pressure therapy (OA/NPT). Over a 5-year period, every critically ill patient who received amikacin and who underwent therapeutic drug monitoring (TDM) while being treated by OA/NPT was retrospectively included. A population pharmacokinetic (PK) modeling was performed considering the effect of 10 covariates (age, sex, total body weight [TBW], adapted body weight [ABW], body surface area [BSA], modified sepsis-related organ failure assessment [SOFA] score, vasopressor use, creatinine clearance [CLCR], fluid balance, and amount of fluids collected by the NPT over the sampling day) in patients who underwent continuous renal replacement therapy (CRRT) or did not receive CRRT. Monte Carlo simulations were employed to determine the fractional target attainment (FTA) for the PK/pharmacodynamic [PD] targets (maximum concentration of drug [Cmax]/MIC ratio of ≥8 and a ratio of the area under the concentration-time curve from 0 to 24 h [AUC0–24]/MIC of ≥75). Seventy critically ill patients treated by OA/NPT (contributing 179 concentration values) were included. Amikacin PK concentrations were best described by a two-compartment model with linear elimination and proportional residual error, with CLCR and ABW as significant covariates for volume of distribution (V) and CLCR for CL. The reported V) in non-CRRT and CRRT patients was 35.8 and 40.2 liters, respectively. In Monte Carlo simulations, ABW-adjusted doses between 25 and 35 mg/kg were needed to reach an FTA of >85% for various renal functions. Despite an increased V and a wide interindividual variability, desirable PK/PD targets may be achieved using an ABW-based loading dose of 25 to 30 mg/kg. When less susceptible pathogens are targeted, higher dosing regimens are probably needed in patients with augmented renal clearance (ARC). Further studies are needed to assess the effect of OA/NPT on the PK parameters of antimicrobial agents.
A Comprehensive Investigation of Potential Novel Marine Psychrotolerant Actinomycetes sp. Isolated from the Bay-of-Bengal

Background: This study was carried out to classify the diversity of the deep marine psychrotolerant actinomycetes sp. nov., in the Bay of Bengal and exploit the production of cold-active industrial and pharmaceutical biomolecules. Objective: 1) Characterization, optimum the growth conditions and classify the diversity of the novel isolated deep marine psychrotolerant actinomycetes sp from the Bay-of-Bengal. 2) Screening for industrially important biocatalysts and determine the antimicrobial activities against the five dreadful pathogens. 3) The differential expression profiling of the candidate genes to regulate the biosynthesis of selected enzymes. Methods: The cold-adapted actinomycetes were isolated from the deep marine water collections at 1200 mts below the surface in Bay-of-Bengal. The phenotypic and genotypic characterizations have been carried out to understand the persistent diversity of this novel marine psychrotolerant actinomycetes species. The production of cold-active enzymes, such as amylase, cellulase, lipase, pectinase, and L-asparaginase, were screened and the expression profiling genes were determined by using qRT PCR. The antibacterial and antifungal activities have also been investigated. Results: A total number of 37 novel actinomycetes were isolated and the phenotypic and genotypic characterizations identified the genus, dominated by Streptomyces (17 distinct sub-groups) as the major group, followed by Micromonospora, Actinopolyspora, Actinosynnema, Streptoverticillium, Saccharopolyspora, Nocardiopsis, and Nocardia. The optimum growth and abundant mycelium formation are observed at 15°C to 20°C and also capability for thriving at 4°C. All the isolates exhibited a significant role in the production of biocatalysts, and the antagonistic activities were also noted against five major selected pathogens. Conclusion: The Streptomyces from the Bay-of-Bengal have high biosynthetic potential and can serve as a good resource for the exploration of bioactive natural products.
Multi-Hop LoRa Network Protocol with Minimized Latency

LoRa (Long Range) is a long-range communications capacity with chirp spread spectrum modulation. It has been developed for Internet of Things (IoT) applications for long-distance and low power consumption. Some authors proposed LoRa protocols such as LoRaWAN, LoRaBlink, DQ-LoRa and the multi-hop LoRa network with linear topology; however, these protocols have disadvantages. In this paper, we propose a minimized latency multi-hop LoRa network protocol that is collision-free with low latency to improve on the disadvantages. First, in the proposed protocol, tree topology is constructed by exchanging packets between LoRa nodes and the sink node. During this period, a timeslot and channel are assigned to each tree link, over which LoRa nodes communicate with their parent node and which is collision-free with its neighbor nodes. After the tree construction period, LoRa nodes start data transmission using the timeslot and channel that they have already been assigned to in the tree construction period. We developed the proposed protocol in a LoRa node prototype using the MultiTech mDot module, and we conducted experiments at Ulsan University. The results show that the proposed protocol provides high reliability, parallel transmissions, a minimized number of timeslots assigned for all the links in the network, a minimized packet size, and low latency.
B-Raf is an essential component of the mitotic machinery critical for activation of MAPK signaling during mitosis in Xenopus egg extracts

xix Chapter One – General Introduction.1 General understanding of mitosis . 1 Protein kinases in regulation of mitosis . 5 Three-kinase module of the MAPK pathway . 9 ERK1/2 cascade and mitosis.13 Regulation of ERK1/2 signaling by MEK kinases . 21 Functions and structural organization of Raf family members.23 Regulation of B-Raf activity by phosphorylation and protein-protein interactions.27 B-Raf as an oncogene . 34 Studying MAPK signaling in the cell-free system of Xenopus egg extracts . 36 Dissertation statement.41 ii Chapter Two – Identification of B-Raf as an M-phase MEK Kinase.43 Introduction.43 Results.45 Preparation of extracts from parthenogenetically activated Xenopus eggs, which are devoid of a germ-cell specific MEK kinase, c-Mos . 45 Development of a protocol for purification of mitotic MEK kinase activity . 47 Purification of MEK kinase activity from M-phase arrested extracts . 56 B-Raf is enriched at the final stage of the mitotic MEK kinase purification.60 Depletion of B-Raf, but not Raf-1, blocks activation of MAPK at mitosis.63 Conclusions.66 Chapter Three – Characterization of B-Raf at Mitosis . 68 Introduction.68 Results.68 B-Raf activity is elevated during mitosis.68 B-Raf associates with MEK in Xenopus egg extracts.75
Mathematical Models with Buckling and Contact Phenomena for Elastic Plates: A Review

A review of mathematical models for elastic plates with buckling and contact phenomena is provided. The state of the art in this domain is presented. Buckling effects are discussed on an example of a system of nonlinear partial differential equations, describing large deflections of the plate. Unilateral contact problems with buckling, including models for plates, resting on elastic foundations, and contact models for delaminated composite plates, are formulated. Dynamic nonlinear equations for elastic plates, which possess buckling and contact effects are also presented. Most commonly used boundary and initial conditions are set up. The advantages and disadvantages of analytical, semi-analytical, and numerical techniques for the buckling and contact problems are discussed. The corresponding references are given.
Multi-depot vehicle routing problem based on customer satisfaction

Nowadays, meeting the customer's demands in the shortest time and least cost is the most challenging task of maintaining any supply chain. Vehicle routing problem (VRP) plays an important role in the logistics. In typical VRP, customers' are used to serving as a single depot, but in real-life single depot will not be sufficient to meet the customer's demand or customers' satisfaction. In this context, this article presents the multi-depot vehicle routing problem based on customer's satisfaction (MDVRPCS). Since MDVRPCS is an NP-hard problem so, ant colony optimisation (ACO) has been proposed to solve the MDVRPCS. The proposed algorithms have two phases. The first phase involves clustering the nodes into a desired number of groups. This has been done by using K-means clustering algorithm. The second phase involves optimisation of routes for each cluster. This is achieved by using ACO. The proposed algorithm has been tested for well-know problem instances from the literature. The results show that the algorithm is capable of obtaining good optimal solutions.
Receiver-bias implicated in the nonsexual origin of female mate choice in the pentamorphic fish Poecilia parae Eigenmann, 1894.

Receiver-bias hypotheses of signal evolution posit that male sexually selected traits evolve via prior selection for other functions. We found support for the hypothesis that the origin of female choice of mates is a linked effect of a receiver-bias for carotenoid coloration favored in the context of efficient food detection. Adult pentamorphic livebearing fish or pentas (P. parae) nibbled significantly more often at orange, red, and yellow discs than at green, blue, white, and black discs, outside a mating context. This innate attraction to carotenoid colored discs was positively correlated with female preferences for red and yellow melanzona males, and for novel red ornaments in fins of an immaculata male tested against typically uncolored immaculata. Furthermore, preference for carotenoid colored discs was absent in one ancestral taxon, and yet mapped onto a poeciliid phylogeny as ancestral. Overall these results suggest a strong association between a potential trigger of a mate choice preference and a sexually selected trait, thereby corroborating the receiver-bias hypothesis for carotenoid coloration independent and dependent of the assumptions of phylogenetic inference.
Expansion Dual To Channeled The Sample In A Series Of Shift-Invariant Space

In this article we show sampling expansion formulations on a series of shift-invariant closed sub space ∑ V (φ(t )) of L (R) generated by a Riesz generator series ∑ φ(t ) or frames. Moreover we illustration a single channel sampling on a series ∑ V (φ(t )) . Finally, examples are given to support our results.
The mutation of insulin receptor substrate-1 gene in Chinese patients with non insulin dependent diabetes mellitus

客观：在胰岛素受体 substrate-1 (IRS-1 ) 识别在变化之间的关系基因和在中国人口的 non-insulin-dependent 糖尿病(NIDDM ) 的发生。 方法：样品与 NIDDM 和 68 个控制题目从 68 个中国病人被获得。 +1700-(+) IRS-1 基因的 4437 bp 碎片被聚合酶链反应(PCR ) 屏蔽单个海滨符合构造多型性(SSCP ) 分析。 所有 SSCP 变化被提交到 DNA 顺序分析。 结果：二个氨基酸变化[ GGG --> AGG ( G971 R )和 CCT --> TCT ( P1079 S )]并且 3 个沉默变化[ GAT --> GAC ( D422D )， CCA --> CCC ( P737 P )和 GCA --> GCG ( A804 A )]被识别，在哪个之中 CCA --> CCC ( P737 P )和 CCT --> TCT ( P1079S )以前没被报导。 所有五个变化与 NIDDM 在中国病人被发现，当时 GCA --> GCG (A804A ) 是在控制题目发现的唯一一个。 在有 NIDDM 的中国病人的五个变化的全面发生在控制题目比那高得多(38.2%对7.4%， chi 2 = 18.42 ， P GCG ( A804A )，和它的频率比在控制在有 NIDDM 的中国病人是显著地更高的(26.5%对7.4%， chi 2 = 8.84 ， P 0.05 )。 结论：这些结果显示可以与 NIDDM 在 IRS-1 基因和中国病人的这些核苷酸变化之间有一种关系。