Miracle-dz/UniFAR-FTUs huggingface dataset:
GUEST SERVICES QUALITY ASSESMENT IN TOURISM, USING AN ATTRIBUTES SCALE

It is considered that a weakness of the Romanian tourism offer is the quality of guest services. In this paper we established as an objective to examine in detail the importance given by the consumers to the components of guest service quality and their perceived performance, based on the three pillars of service quality: the material base (equipments), staff training and staff behavior. The emphasis is on the investigation regarding staff training and behaviour, taking into account the multiple attributes SERVQUAL scale. On the basis of this work lies a survey done in March-April 2010 on the population of Oradea, on a sample of 1060 people. Results confirm the importance granted to staff in ensuring quality of tourism services and their perceived relatively weak performance.
The relationship between levels of Alexithymia and communication skills of nursing students

Background & Objective: Effective communication in the nursing profession is not just a personal skill but is accepted as a learned and gained technique in the instructional process. It is possible for nurses to professionally provide effective and quality service with the establishment, development, and transfer to emotion of effective communication with people. The purpose of this study was to investigate the relationship between levels of alexithymia and communication skills of nursing students. Methods: This cross-sectional study was conducted among students attending the School of Nursing in a university in Turkey in the 2017-2018 Spring semester. A total of 634 nursing students participated in the study. The data in the study were collected with the “Student Introduction Form”, the “Toronto Alexithymia Scale (TAS)” and the “Communication Skills Scale (CSS)”. Means, standard deviations, t-test, ANOVA and Pearson correlation analysis were used for the analysis. Results: The mean TAS scores of the nursing students were found to be 56.31±8.82, and the students had “moderate alexithymia” based on the average scores of the scale. The mean CSS scores of the nursing students in the study was found to be 91.16±12.99, and the students had “Good level of communication” based on the average scores of the scale. In our study, a negative and moderate correlation between the levels of alexithymia of nursing students and their communication skills was detected (p: 0.001). Conclusion: It was found that as the levels of alexithymia of nursing student increased, their communication skills decreased.
Target of rapamycin (TOR) in Fenneropenaeus chinensis: cDNA cloning, characterization, tissue expression and response to amino acids

Target of rapamycin (TOR) kinase is a central cell growth controller that integrates a wide array of extracellular and intracellular signals to regulate cell growth. In this study, the TOR gene of Fenneropenaeus chinensis, an important aquatic species in China, was cloned and characterized. The cDNA of fch-TOR comprises 7638 bp and contains a 7389-bp open reading frame, which encodes a peptide of 2462 amino acids. The deduced amino acid sequence of fch-TOR contains the characteristic rapamycin-binding domain and PI3Kc domain. The fch-TOR gene was mainly expressed in muscles. When leucine or arginine was supplied to hungry shrimps, the expression of fch-TOR was significantly enhanced and the phosphorylation of protein factors including fch-TOR and S6K1 in the TOR signalling pathway was significantly promoted. The results indicated that leucine and arginine could stimulate the expression of fch-TOR and activate the TOR signalling pathway and that the gene transcription response lagged behind protein phosphorylation.
Prevalence of Bartonella infection among patients with fever

Bartonella henselae has been associated with an increasing spectrum of clinical syndromes including cat scratch disease. The prevalence of Bartonella infection among patients with unexplained fever in San Francisco was much greater than has previously been documented. However, out of 29 Japanese children with fever of unknown origin, only one had serum IgG antibody to B. henselae. Although general prevalences of serum antibodies to some infectious agents in healthy adults are higher than those of healthy children, the prevalence of B. henselae infections in Japanese population is not so high as expected.
A Peptide Comprising the Src-interacting Domain of NADH Dehydrogenase Subunit 2 Alleviates Complete Freund's Adjuvant-induced Allodynia in Rats

Inflammatory and neuropathic pains arise in part from sensitization at nociceptive synapses in the spinal cord. Activity-dependent signaling cascades converge onto the tyrosine kinase Src, which participates in augmenting the function of N-methyl-D-aspartate receptors (NMDARs) and thus potentiates the nociceptive system. Src is capable of these effects because it is anchored to the NMDAR complex via an adaptor protein called NADH dehydrogenase subunit 2 (ND2). There is evidence that this interaction occurs between amino acids 40-49 of Src and amino acids 310-321 of ND2. I have determined that a peptide consisting of amino acids 310-321 of ND2, and affixed to the HIV Tat domain for cell permeability, is capable of alleviating tactile allodynia induced by Complete Freund's Adjuvant (CFA) in rats. Src40-49Tat was not effective in two models of inflammatory pain. This work further implicates the Src-ND2 interaction in pain hypersensitivity and suggests that Tat ND2 310-321 may alleviate it.
Comb Growth During Sexual Maturation in Female Broiler Breeders

SUMMARY The process of sexual maturation in the chicken is associated with an increase in circulating estradiol-17βconcentration. Researchersoftenrelyonfrequentbloodsamplingtomeasureestrogen concentration and thus to monitor the process of sexual maturation. Although reliable, this method is invasive to the animal and is not a practical technique for use on a farm. Sexual maturation also promotes the development of the comb and wattles on the chicken. The objective of this experiment was to evaluate an animal friendly and simple alternative to assess the rate of sexual maturity in female meat-type chickens by measuring the growth of the comb. Cobb-500 broiler breeder pullets were measured for comb growth by taking a digital image of the bird’s profile at 2-d intervals beginning at 20 wk of age. The images were subjected to analysis, and the height, length, and area of the comb were assessed. Blood samples were taken at4-dintervalstocorrelatecombgrowthwithplasmaestradiol-17βconcentration. Photostimulation occurred at 22 wk of age. Comb growth correlated positively with plasma estrogen concentration, but an even higher correlation was found with comb size and days to sexual maturity. Assessing changes in comb growth has the potential to be used as a tool for timing sexual maturation within a breeder flock.
Persistence of insecticidal activity of novel bio-encapsulated formulations of Bacillus thuringiensis var. kurstaki against Choristoneura rosaceana [Lepidoptera: Tortricidae]

Le DiPelTM, une formulation commerciale du Bacillus thuringiensis var. kurstaki (Btk), et des formulations bio-encapsulees du Btk ont ete pulverisees dans un verger de pommiers. Pendant trois annees consecutives, leur persistance a ete evaluee en laboratoire sur des larves de tordeuse a bandes obliques (Choristoneura rosaceana). En 1995, le DiPel et la formulation bio-encapsulee ont cause une mortalite larvaire significativement plus grande que celle du temoin, au moins 1 jour et jusqu’a 27 jours apres les traitements, respectivement. En 1996, bien que 6 mm de pluie soient tombes la journee des traitements, le DiPel et la formulation bio-encapsulee ont cause respectivement 21 et 33 % de mortalite larvaire immediatement apres les traitements. Le DiPel a cause une mortalite significativement plus grande que celle du temoin pour une periode de trois jours apres les traitements alors que la formulation bio-encapsulee a cause une mortalite plus grande pendant 14 jours. En 1997, deux souches de Btk (HD-1 et BMP123) ont ete pulverisees a des concentrations differentes en matiere active (3 et 8 %) et en doses (30 et 240 g 15 L-1). Des concentrations elevees en matiere active et des doses elevees ont accru la persistance de l’activite insecticide des formulations de Btk. Parmi les facteurs meteorologiques mesures (precipitations, temperature et radiations solaires), les precipitations ont reduit la persistance de l’activite insecticide. Les radiations solaires peuvent egalement avoir contribue a moduler la persistance des formulations.
SOIL CHANGE AND CARBON STORAGE IN LONGLEAF PINE STANDS PLANTED ON MARGINAL AGRICULTURAL LANDS

An increasing area of marginal agricultural land in the coastal plain of the southeastern United States is being planted to longleaf pine (Pinus palustris Mill.). This chronosequence study in southern Georgia evaluated the effect of pine planting and the associated cessation of agricultural activity such as tillage and fertilization on soil C storage and soil nutrient stocks. Soils are Arenic or Typic Kandiudults with coarse-textured surface soils. Soil C, nutrients, and bulk density from 0 to 50 cm in planted stands 1, 3, 7, and 14 yr old, as well as soils beneath natural longleaf pine stands that were in a never tilled (NT) condition, were evaluated (n = 3 per stand age). No accumulation of soil C was apparent during the first 14 yr of pine growth. The average content of soil C in planted stands (11 ± 1 Mg/ha; mean ± 1 se) was ∼16 Mg/ha less than that in the NT soils (27 ± 4 Mg/ha). Soil total N content within planted stands also did not differ by age, although extractable NO3 declined rapidly. Despite .
Effect of exogenous methyl jasmonate on pathway of isoflavone synthesis in soybean

Isoflavones play a vital role in health benefits,and the level is very low even in redundant soybean (about 3%). Increase the level in soybean is useful to improve quality of soybean.Exogenous methyl jasmonate were used as inducer,sprayed it on the leaf,to up-regulate the pathway of isoflavones synthesis.Ultraviolet spectrophotometer,fluorescent scanning (PE.USA) and HPLC (Agilent,Wilmington) were used to analyze the dynamic change of the activity ofisofalvones level.The results showed that exogenous methyl jasmonate induce the activity of PAL and the level of tryptophane,so that the synthesis of daidzein,genistein and total isoflavones increased.In the sprayed concentration scope of 0-450 μmol·L-1,450 μmol·L-1 was an appropriate concentration to induce the synthesis of isoflavones.The daidein level of the seeds treated with 450 μmol·L-1 increased by 5.1 μg·g-1,the genistein level of the seeds treated with 5.1 μg·g-1 and total isoflavones level increased by 960 μg·g-1.In the period of reproductive growth,PAL activity in seeds presented low-high-low single peak trend,daidzein and genistein present low-high-low-getting higher trend,tryptophan and total isoflavones present low-high-low trend.
An Improved Method of Load Balancing for Partitioning in Cloud

Load balancing in the Cloud computing environment importantly affects the execution. Great burden adjusting makes distributed computing more proficient and enhances client fulfillment. This article presents a superior burden equalization model for general society cloud in view of the cloud dividing idea with a change instrument to pick diverse procedures for various circumstances. The calculation applies the diversion hypothesis to the heap adjusting methodology to enhance the proficiency in general society cloud environment. Load Balancing Model Based on Cloud Partitioning for the Public Cloud environment importantly affects the execution of system burden. A distributed computing framework which does not utilize load adjusting has various downsides. Presently a-days the utilization of web and related assets has expanded broadly. Because of this there is huge increment in workload. So there is uneven appropriation of this workload which brings about server over-burdening and may crash. In such frameworks the assets are not ideally utilized. Because of this the execution debases and proficiency decreases. Distributed computing proficient and enhances client fulfillment. This article presents a superior burden parity model for open cloud in view of the cloud parceling idea with a change component to pick diverse methodologies for various circumstances. The calculation applies the amusement hypothesis for burden adjusting system to enhance the productivity in people in general cloud
Density and substrate effects on morphological and physiological parameters of plant stock material of four forest species grown in mini-plugs

Abstract The aim of this study was to measure a number of morphological and physiological parameters of planting stock material of forest species grown in mini-plugs and to evaluate them as indicators of planting stock quality under different density and substrate treatments. The studied species were black locust (Robinia pseudoacacia L.), Italian cypress (Cupressus sempervirens L.), brutia (Pinus brutia Ten.) and black pine (Pinus nigra Arnold). Seeds were sown in two growing substrates (peat and stabilized medium), using two mini-plug densities (3500 and 975 mini-plugs m−2). After a 4–5 week growth period under controlled conditions, both morphological (root length, shoot height, leaf area, root and shoot dry weight) and physiological (shoot electrolyte leakage, root growth potential) parameters were assessed. The use of stabilized growing medium and lower densities resulted in higher quality seedlings of black locust, black and brutia pine, in terms of growth and physiological status. In the case of Italian cypress, the use of low density improved seedling morphological characters, but negatively affected its root growth potential. Moreover, this species performed better when peat was used. Correlation analysis showed that for brutia and black pine, seedling morphological traits reliably reflect seedling quality during the precultivation phase in mini-plugs.
Physicians’ Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey

Background Many potential benefits for the uses of chatbots within the context of health care have been theorized, such as improved patient education and treatment compliance. However, little is known about the perspectives of practicing medical physicians on the use of chatbots in health care, even though these individuals are the traditional benchmark of proper patient care. Objective This study aimed to investigate the perceptions of physicians regarding the use of health care chatbots, including their benefits, challenges, and risks to patients. Methods A total of 100 practicing physicians across the United States completed a Web-based, self-report survey to examine their opinions of chatbot technology in health care. Descriptive statistics and frequencies were used to examine the characteristics of participants. Results A wide variety of positive and negative perspectives were reported on the use of health care chatbots, including the importance to patients for managing their own health and the benefits on physical, psychological, and behavioral health outcomes. More consistent agreement occurred with regard to administrative benefits associated with chatbots; many physicians believed that chatbots would be most beneficial for scheduling doctor appointments (78%, 78/100), locating health clinics (76%, 76/100), or providing medication information (71%, 71/100). Conversely, many physicians believed that chatbots cannot effectively care for all of the patients’ needs (76%, 76/100), cannot display human emotion (72%, 72/100), and cannot provide detailed diagnosis and treatment because of not knowing all of the personal factors associated with the patient (71%, 71/100). Many physicians also stated that health care chatbots could be a risk to patients if they self-diagnose too often (714%, 74/100) and do not accurately understand the diagnoses (74%, 74/100). Conclusions Physicians believed in both costs and benefits associated with chatbots, depending on the logistics and specific roles of the technology. Chatbots may have a beneficial role to play in health care to support, motivate, and coach patients as well as for streamlining organizational tasks; in essence, chatbots could become a surrogate for nonmedical caregivers. However, concerns remain on the inability of chatbots to comprehend the emotional state of humans as well as in areas where expert medical knowledge and intelligence is required.
Time-Coordinated Multienergy Management of Smart Buildings Under Uncertainties

This paper proposes a multitimescale coordinated building energy management system (BEMS) for multienergy buildings integrated with renewable energy sources (RES). It aims to dispatch active building components in two different timescales to counteract uncertain variations in RES generation and load. In the longer timescale (hourly), fuel-cell-based microcombined heat and power and energy storage system (ESS) are dispatched before uncertainty is realized. In the 15 min timescale, ESS is redispatched to supplement the first stage decision, once the uncertainty is realized. The multitimescale coordination is achieved through a two-stage stochastic programming model. The BEMS has been developed as nonlinear receding horizon and nonlinear quadratic programming models in the first and second stages, respectively. In order to minimize carbon footprint of the building, carbon tax has been incorporated in the system operation cost. Furthermore, to prolong battery lifetime in uncertain environment, battery degradation cost has been included. Case studies depict appropriateness of the proposed method in achieving lower carbon emissions while simultaneously improving battery performance in comparison to traditional systems. Extensive simulation results demonstrate robustness and effectiveness of the proposed scheme to account for uncertainties in generation and load.
Smart Water Monitoring System using Cloud Service

Water is the basic need for survival. Hence, the wastage of it is not tolerable. Water scarcity is the lack of sufficient available water resources to meet water needs within a region. Its effects are spread all over the world and around 2.8 billion people are affected by it. More than 1.2 billion people lack access to clean drinking water. Therefore, water monitoring has become an important subject of matter. The project Water Monitoring System for Smart Village using cloud service, as the name says it is all about monitoring of water right from small villages, townships to entire urban infrastructure. The project deals with the efficient monitoring of water using Internet of Things (IoT) technology enabled by sensors. The sensor network can be flexible expanded and shrunk according to the requirements of setup. It is used for remotely controlling the water flow, cutting the water supply, monitoring and analyzing the water usage across the nodes, with the help of cloud connectivity. Further, more statistical data can be gathered and can be used by govt. authorities for defining policies, strategies and billing calculations. So ultimately, this will help to conserve and efficiently utilize the natural resource. Using IoT takes into account of waste wastage right from small village to large scale. It can also control the water usage in a precise way. Usually the water flow to each village is not measured, but this product enables the measure of water to each village so that water monitoring is easy. If there is inappropriate usage of water from tank is detected monitor of that village can be notified.
Visually Mining Interesting Patterns in Multivariate Datasets

Data mining for patterns and knowledge discovery in multiva riate datasets are very important processes and tasks to help analysts understand the dat aset, describe the dataset, and predict unknown data values. However, conventional comput er-supported data mining approaches often limit the user from getting involved in the mining process and performing interactions during the pattern discovery. Besides, wi thout the visual representation of the extracted knowledge, the analysts can have difficulty explaining and understanding the patterns. Therefore, instead of directly applying auto matic data mining techniques, it is necessary to develop appropriate techniques and visuali zation systems that allow users to interactively perform knowledge discovery, visually ex amine the patterns, adjust the parameters, and discover more interesting patterns based o n their requirements. In the dissertation, I will discuss different proposed visu alization systems to assist analysts in mining patterns and discovering knowledge in mu ltivariate datasets, including the design, implementation, and the evaluation. Three type s of different patterns are proposed and discussed, including trends, clusters of subg ro ps, and local patterns. For trend discovery, the parameter space is visualized to allow the user to visually examine the space and find where good linear patterns exist. For cluster d iscovery, the user is able to interactively set the query range on a target attribute, and retrieve all the sub-regions that satisfy the user’s requirements. The sub-regions that sati sfy the same query and are near each other are grouped and aggregated to form clusters. For l ocal pattern discovery, the patterns for the local sub-region with a focal point and its n eighbors are computationally extracted and visually represented. To discover interesti ng local neighbors, the extracted local patterns are integrated and visually shown to the anal ysts. Evaluations of the three visualization systems using formal user studies are also pe rf rmed and discussed.
Plant reproduction under elevated CO2 conditions: a meta‐analysis of reports on 79 crop and wild species

Summary • Reproductive traits are key characteristics for predicting the response of communities and ecosystems to global change. • We used meta-analysis to integrate data on eight reproductive traits from 159 CO 2 enrichment papers that provided information on 79 species. • Across all species, CO 2 enrichment (500–800 µl l −1 ) resulted in more flowers (+19%), more fruits (+18%), more seeds (+16%), greater individual seed mass (+4%), greater total seed mass (+25%), and lower seed nitrogen concentration, (N) (−14%). Crops and undomesticated (wild) species did not differ in total mass response to elevated CO 2 (+31%), but crops allocated more mass to reproduction and produced more fruits (+28% vs +4%) and seeds (+21% vs +4%) than did wild species when grown at high CO 2 . Seed [N] was not affected by high CO 2 concentrations in legumes, but declined significantly in most nonlegumes. • Our results provide robust estimates of average plant reproductive responses to CO 2 enrichment and demonstrate important differences among individual taxa and among functional groups. In particular, crops were more responsive to elevated CO 2 than were wild species. These differences and the substantial decline in seed [N] in many species have broad implications for the functioning of future natural and agro-ecosystems.