Miracle-dz/UniFAR-FTUs huggingface dataset:
The Influence of Service Scape and Service Provider’s Esthetic Labor on Customer Behavioral Intentions and Mediations of Emotional Responses in Esthetic Shop

This study analyzes service scape and esthetic labor, emotional reaction, coustomer behavior intention that impacts skincare coustomers' behaviors and extracts relationships of cause and effects. Using 280 surveys were conducted to estheic shop visitors in Ulsan and Geyongnam area in recent 3 months. Using 257 surveys out of the 280 surveys, the writer did actual proof analysis. The data sample is analyzed in multiple regression analysis using Statistical power analysis with 2.1 analysis. Then the statistical processing is done with SPSS 21.0 and AMOS 21.0. It is proven that customer satisfactions from that positive reactions also increase revisit intentions by creating positive ripple effects. Through discoveries of structural relationships of predisposing factors of satisfactions in esthetic and revisit intentions, this study extracts scholastic and operational implications to have positive impacts. Expanded analysis is required in further researches with consideration of various age group and regional targets.
Differences in forest management practices in Primorsky Krai: Case study of certified and non-certified by Forest Stewardship Council forest concessions

ABSTRACT The Forest Stewardship Council (FSC) aims to promote environmentally responsible forest management globally. However, quantifiable evidence of effects of FSC on forest management practices is lacking. FSC has been present in the Russian forestry arena for over 20 years. In this case study, we compare ecological indicators of forest management in FSC-certified and non-certified companies in Primorsky Krai of the Russian Far East. Those indicators include percent of forest cover loss and gain on forest concessions managed by three certified and three non-certified companies. We also interview a range of stakeholders involved with forest management or in forest policy planning in Russia to provide context for this case study. Results indicate no difference between certified and non-certified companies with regard to forest cover loss from 2008 to 2015 or forest cover gain from 2000 to 2012. Stakeholder interviews reveal that while forest certification is viewed positively and considered an efficient mechanism to improve forest management, the stakeholders doubt its ability to stimulate quantifiable changes in forest management practices in Russia and the Far East specifically. We focus on Primorsky Krai because of its unique geographic location, where its neighbors China and Japan significantly influence Primorsky Krai’s export market.
Genetic diversity of rice (Oryza sativa L.) accessions collected from Sudan and IRRI using SSR markers

The assessment of genetic diversity of the traditional rice varieties or landraces is an essential component in germplasm characterization and conservation to identify potential parents. In the present study SSR markers (588 SSR markers) were used for the assessment of genetic diversity and relatedness among 31 rice accessions. These included 18 accessions from Sudan and 13 from IRRI. Among the SSR markers used only 483 generated polymorphic patterns, and showed 1274 alleles. The number of alleles per locus ranged from 2 (about 214 markers) to 5 (RM16820 and AP3206a) with an average of 2.64 alleles per locus. The polymorphic information content (PIC) values ranged from 0.06 (RM3138, RM10671, SKC3, R1M7, R6M30, S07101 and S12041B) to 0.69 (RM7643), with an average of 0.39. The major allele frequency per locus varied from 32% (RM7643) to 97% (RM3138, RM10671, SKC3, R1M7, R6M30, S07101 and S12041B), with an average of 64%. Among the primers used in the present investigation, RM7643 was highly informative as it recorded the highest PIC value (0.69). The UPGMA resulted in allelic richness of four major clusters in which cluster I is composed of a high number of accessions. The pairwise genetic dissimilarity indices revealed the highest genetic dissimilarity of 62.3% between Pipanfary Red1 and FL478. The lowest genetic dissimilarity was found between NBGS3 and NBGS2 (4.1%), but they showed wide dissimilarity with other accessions. The study highlighted the usefulness of the application markers for efficient characterization of the Sudanese rice accessions. Key words: Rice accessions, genetic diversity, SSR markers, polymorphism.
FLOP-Reduction Through Memory Allocations Within CNN for Hyperspectral Image Classification

Convolutional neural networks (CNNs) have proven to be a powerful tool for the classification of hyperspectral images (HSIs). The CNN kernels are able to naturally include spatial information to smooth out the spectral variability and the noise present in HSI data. However, these kernels are composed of a large number of learning parameters that must be correctly adjusted to achieve good performance. This forces the model to consume a large amount of training data, being prone to overfitting when limited labeled samples are available. In addition, the execution of kernels is computationally very expensive, increasing quadratically with respect to the size of the convolution filter. This significantly reduces the performance of the model. To overcome the aforementioned limitations, this work presents a new few-parameter CNN (based on shift operations) for HSI classification that dramatically reduces both the number of parameters and the computational complexity of the model in terms of floating-point operations (FLOPs). The operational module combines a shift kernel (which adjusts the input data in particular directions without involving any parameters nor FLOPs) with pointwise convolutions that perform the feature extraction stage. The newly developed shift-based CNN has been employed to conduct HSI classification over five widely used and challenging data sets, achieving very promising results in terms of computational performance and classification accuracy.
xFogSim: A Distributed Fog Resource Management Framework for Sustainable IoT Services

Streaming large amounts of data to cloud data centers cause network congestion resulting in high network and energy consumption. The concept of fog computing is introduced to reduce workload from backbone networks and support delay-sensitive Internet of Things (IoT) applications. The concept places compute, storage, and network services closer to the source of the requests. In general fog-based simulators are used for better understanding and optimum fog resource allocation. Unfortunately, most of the simulators lack core features like network delay, latency, packet error rate, energy consumption, and distributed fog node management. In this paper, we propose a fog simulation framework termed as xFogSim to support latency-sensitive applications at the fog layer with multi-objective optimization to trade-off cost, availability, and performance among the fog federation. Moreover, during peak load, the framework provides locality-aware distributed broker node management that enables borrowing resources from nearby fog locations to meet service and energy requirements. The results show that the framework is lightweight, configurable, and scalable, capable of handling a large number of user requests using dynamic resource provisioning across the fog federation.
Effect of Dialectical Behavioral Therapy on the Postpartum Depression, Perceived Stress and Mental Coping Strategies in Traumatic Childbirth: A Randomized Controlled Trial

BackgroundThe aim of the study was to determine the effect of dialectical behavioral therapy in reducing the number of psychological complications following traumatic childbirth.MethodsThe study included 210 primiparous women who had natural traumatic childbirth. A standardized protocol was designed to decrease postpartum depression score, perceived stress, and increase mental coping strategies. The intervention group received five counseling sessions, and the control group received routine care. Their questionnaires measured the variables before the intervention and at 6th and 12th weeks postpartum.ResultsNo significant difference observed between the mean scores of all variables before the intervention (Pvalue> 0.05). The results of the repeated measure ANOVA showed, after the intervention, at 6th and 12th weeks postpartum, the mean scores of all three variables, including postpartum depression, perceived stress, and mental coping strategies was a statistically significant difference (Pvalue<0.001). ConclusionsDialectical behavioral therapy can have substantial effects on reducing postpartum depression, reducing perceived stress levels, and increasing the ability to deal with stress in traumatic childbirth. Keywords: Dialectical behavioral therapy, counseling, postpartum depression, perceived stress, coping strategies, traumatic childbirth.
Integrative analyses of photosynthesis, plant growth, metabolite levels and enzyme activities in an introgression line population of Solanum pennellii

Natural genetic diversity provides a powerful and complementary resource to analyze complex metabolic networks. To identify QTLs and eventually genes that affect metabolic parameter, enzyme activities and traits related to biomass production and fruit yield, a collection of introgression lines (ILs) derived from a Solanum lycopersicum cv M82 X Solanum pennellii cross was grown in greenhouse and after four weeks growth stem, petiole and leaves were sampled in order to understand the role of stem and petiole during the export photosynthate from sink to source a leaf. We analyzed by robotized platform the major metabolic intermediates (sugars, starch, nitrate, amino acids and protein), and the activities of nine representative enzymes from central C and N metabolism. The results revealed high frequency of positive correlations between enzyme activities, moderate frequency of correlations between related metabolites, and few correlations between enzyme activities and metabolite levels. The majority of enzymatic QTLs were identified for FBP Ald and GlDH,
A Win–Win Mode: The Complementary and Coexistence of 5G Networks and Edge Computing

The emerging Internet of Things (IoT) services put forward higher demands on the bandwidth and latency performance of the traditional cloud computing. Cloud–edge collaboration and 5G cloud are two effective schemes to solve this problem. Adopting only one scheme may lead to the insufficiency of the performance in strict scenarios. So, the integration deployment of 5G networks and edge computing is significant. This article aims to provide a comprehensive survey on the complementarity and coexistence of 5G networks and edge computing. It reviews the evolving bonds of mobile communication technologies and edge computing and summarizes five scenarios where both 5G and edge computing can be applied. Based on the analysis of the key technologies and the tech-connections of 5G and edge computing, a win–win mode of them complementing each other is proposed. Finally, the potential challenges of the new mode, including security risks, heterogeneity issues, transition stage, and service orchestration, are summarized. This survey can provide rational assistance for researchers and developers focusing on the integration deployment of 5G networks and edge computing.
Development of a Hemagglutination Inhibition Assay for Duck Tembusu Virus

SUMMARY. The HB strain of duck Tembusu virus (DTMUV) propagated in the brains of newborn mice was used to prepare antigens for use in the hemagglutination inhibition (HI) test. Results showed that such prepared antigens are highly specific to the serum samples derived from DTMUV-infected animals. No spurious hemagglutination reactions against serum samples specific to avian influenza virus H5, H7, H9 subtypes, Newcastle disease virus, egg drop syndrome virus, duck plague virus, and duck hepatitis A virus were observed. The HI test can detect specific antibodies in the serum samples as early as day 4 after experimental infection of ducks with DTMUV. When compared to a virus neutralization test, the sensitivity is 100%. Overall, the HI test developed is highly specific to DTMUV and can be used in clinical diagnosis of diseases and in vaccine studies to monitor the kinetics of antibody response.
Segmentation of Ordinary Images and Medical Images with an Adaptive Hidden Markov Model and Viterbi Algorithm

Image segmentation is an important problem in both image processing and computer vision. Given an image, the goal of image segmentation is to label each pixel in the image such that the pixels with the same label collectively represent an object. Due to the inherent complexity and noise that may exist in images, developing an algorithm that can generate excellent segmentation results for an arbitrary image is still a challenging problem. In this paper, a new adaptive Hidden Markov Model is developed to describe the spatial and semantic relationships among pixels in an image. Based on this statistical model, image segmentation can be efficiently performed with an adaptive Viterbi algorithm in linear time. The algorithm is unsupervised and does not require being used along with any other approach in image segmentation. Testing results on synthetic and real images show that this algorithm is able to achieve excellent segmentation results in both ordinary images and medical images. An implementation of this algorithm in MATLAB is freely available upon request.
Dynamics of Dry-Down in Seed, Head and Stalk from Sunflower Genotypes Sprayed with Chemical Desiccants After Physiological Maturity

Chemical desiccation can advance the sunflower harvest time. Paraquat has been extensively used, but other less risky chemicals, as Carfentrazone and Saflufenacil, can rise as an alternative. Moisture levels of seed, head and the upper portion of stalk are all relevant for mechanical harvesting, but dry-down dynamics of each tissue is unknown. The aim was to study the dry-down dynamics of seed, head and stalk in sunflower genotypes sprayed with Paraquat, Carfentrazone and Saflufenacil after physiological maturity. Seven experiments were carried out in the field in Argentina (from 29 to 39º S) during 2014/2015 and 2015/2016. The genotypes used included hybrids and female inbred lines of both oil and confectionery types. The dry-down of sunflower plant was accelerated by desiccants with Paraquat, reducing seed and stalk moisture to a greater extent. The head moisture remained very high (>80 and 70%) during several days after application, without differences among desiccants and control. Dynamics of seed, head, and stalk moisture was not associated to vapor pressure deficit or meteorological conditions after chemical application. Loss of green color of leaves was not a reliable indicator of seed dry-down dynamics. Seed germination was not affected by chemical desiccation on either oil-type or confectionery female plants. Under broad conditions of these experiments, the Paraquat was effective for seeds/grains and stalks drying in both sunflowers hybrids and inbred lines. The slowly drying of heads makes it necessary to continue investigating with new doses and combinations of desiccants to ensure an optimal harvest. Desiccants were safe for seed germination, which benefits their usefulness in the seed industry.
Identifying the Principal Factors of Business Incubation Processes

The common objective of Incubation or Entrepreneurship Programs (IEPs) is to facilitate the entrepreneurial process by meeting the needs of client enterprises and supporting their development. Many studies have been conducted in different contexts to assess the effectiveness of IEPs by relating the incubation process to businesses’ performance indicators, particularly in terms of job creation and economic
Mapping the genetic patterns of plants in the region of the Qinghai–Tibet Plateau: Implications for conservation strategies

Species diversity in the region of the Qinghai–Tibet Plateau has been extensively explored, whereas the distribution of genetic diversity remains poorly understood in this species‐rich area, parts of which are listed as biodiversity hotspots. In this study, we aimed to map the patterns of genetic diversity and divergence of plant species in this region, and to identify potential evolutionary hotspots for conservation planning.
Post-activation performance enhancement (PAPE) after a single bout of high-intensity flywheel resistance training

This study investigated the post-activation performance enhancements (PAPE) induced by a high-intensity single set of accentuated eccentric isoinertial resistance exercise on vertical jump performance. Twenty physically active male university students performed, in randomized counterbalanced order, two different conditioning activities (CA) after a general preestablished warm-up: a conditioning set of 6 maximum repetitions at high intensity (i.e., individualized optimal moment of inertia [0.083 ± 0.03 kg·m-2]) of the flywheel half-squat exercise in the experimental condition, or a set of 6 maximal countermovement jumps (CMJ) instead of the flywheel exercise in the control condition. CMJ height, CMJ concentric peak power and CMJ concentric peak velocity were assessed at baseline (i.e., 3 minutes after the warm-up) and 4, 8, 12, 16 and 20 minutes after the CA in both experimental and control protocols. Only after the experimental protocol were significant gains in vertical jump performance (p < 0.05, ES range 0.10–1.34) at 4, 8, 12, 16 and 20 minutes after the CA observed. In fact, the experimental protocol showed greater (p < 0.05) CMJ height, concentric peak power and concentric peak velocity enhancements compared to the control condition. In conclusion, a single set of high-intensity flywheel training led to PAPE in CMJ performance after 4, 8, 12, 16 and 20 minutes in physically active young men.
Performance Analysis of NOMA Enabled Fog Radio Access Networks

In the fifth generation (5G) era, mobile networks will provide diversified services such as enhanced Mobile BroadBand (eMBB) and ultra-reliable low-latency communication (URLLC). Furthermore, the 5G architecture will be fog-like, enabling a functional split of network functionalities between cloud and edge nodes. In this article, we propose a non-orthogonal multiple access (NOMA)-enabled fog-cloud structure in a novel density-aware fog-based radio access networks (F-RAN) to tackle different aspects of high and low-density regions, in order to meet the heterogeneous requirements of eMBB and URLLC traffic. A framework of two different problem formulations is considered to cater the high throughput and low-latency requirements in a high and low-density mode respectively. In the first problem, we study the joint caching placement and association strategy aiming at minimizing the average delay. To deal with the first problem, we apply McCormick envelopes and Lagrange partial relaxation method to transform it into three convex sub-problems, which is then solved by proposing a distributed algorithm. The second problem is to jointly optimize transmission mode selection, subchannel assignment and power allocation to maximize the sum data rate of all fog user equipments (F-UEs) while satisfying fronthaul capacity and fog-computing access point (F-AP) power constraints. Moreover, for given transmission mode selection and subchannel assignment, the optimal power allocation is derived in a closed-form expression. Simulation results are provided to validate the effectiveness of the proposed NOMA-enabled F-RAN framework and reveal that the ultra-low latency and high throughput can be achieved by properly utilizing the available resources.
Short-term effects of hurricanes Maria and Irma on forest birds of Puerto Rico

We compared occupancy in local assemblages of birds in forested areas across Puerto Rico during a winter before (2015) and shortly after (2018) the passage of hurricanes Irma and Maria. Using dynamic community models analyzed within a Bayesian framework, we found significant changes in detectability, with some species becoming more readily detected after the storms and others becoming more difficult to detect during surveys. Changes in occupancy were equally mixed. Five species – mostly granivores and omnivores, but also Black-whiskered Vireo (Vireo altiloquus), a migratory insectivore – occupied more sites in 2018 than in 2015. Thirteen species were less common after the hurricanes, including all of the obligate frugivores. Declines in site-occupancy rates were not only more common than increases, but tended to be of greater magnitude. Our results support the general conclusions that bird species respond largely independently to changes in forest structure caused by hurricanes, but that some dietary guilds, notably frugivores, are more sensitive and more likely to show changes in abundance or occupancy following strong storms.
Expression of Cytokine Genes in Leishmania major-Infected BALB/c Mice Treated with Mesenchymal Stem Cells

Department of Pathobiology, Faculty of Veterinary Science, Bu-Ali Sina University, Hamedan, Iran; Leishmaniasis Disease Registry Committee, Dezful University of Medical Sciences, Dezful, Iran; Infectious and Tropical Diseases Research Centre, Health Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran; Department of Stem Cells and Developmental Biology, Cell Science Research Center, Royan Institute for Stem Cell Biology and Technology, ACECR, Tehran, Iran