Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal vertical strategies in a high-Arctic coastal zooplankton community

We studied the larger (>1000 µm) size fraction of zooplankton in an Arctic coastal water community in Billefjorden, Svalbard (78°40' N), Norway, in order to describe seasonal ver- tical distributions of the dominant taxa in relation to environmental variability. Calanus spp. numerically dominated the herbivores; Aglantha digitale, Mertensia ovum, Beroe cucumis, and Parasagitta elegans were the dominant carnivores. Omnivores and detritivores were numerically less important. Descent to deeper regions of the water column (>100 m) between August and October, and ascent to the shallower region (<100 m) between November and May was the overall seasonal pattern in this zooplankton community. In contrast to other groups, P. elegans did not exhibit pronounced vertical migrations. Seasonal vertical distributions of most species showed statistical associations with the availability of their main food source. The vertical distribution of later developmental stages of Calanus spp. was inversely associated with fluorescence, indicating that they descended from the shallower region while it was still relatively productive, and ascended before the primary production had started to increase. Strong associations between the vertical distributions of secondary consumer M. ovum and Calanus spp. , and tertiary consumer B. cucumis and M. ovum indicated that these carnivores seasonally followed their prey through the water column. We conclude that seasonal vertical migrations are a widespread trait in the high Arctic community studied, and predatorprey interactions seem particularly central in shaping the associations between the seasonal vertical strategies of adjacent trophic levels.
The contingency of solitary wave spreading in nonlinear and disseminative one dimensional cylindrical bio-membrane

This research paper deals with 1-D cylindrical bio membranes (CBM) proximate to a caloric deliquescing transit (CDT) and contemplates an intriguing mechanics stats implicative insinuation of these transit: The contingency of solitary wave spreading (SWS) in 1-D CBM. Nonlinear and disseminative 1-D system frequently sanctions a bunch of localized density excitations, which spread without contortion. After introducing felicitous-diasporas, we will argue that such SWS may play a role in pulse spreading in consanguineous tissue layers, particularly in colligation. We have suggested that features of the compression moduli for lipid amalgamations result in a variety of intriguing properties for these kinds of solitary waves spreading.
Recognition Method Based on Size in Depth Image

According to the differences of the position and size of human parts in depth image, a method which represents human part size and position characteristic is designed. The random forest classifier is used for studying. Through the experiments, the relationship between tree count and depth is shown. And the scheme with excellent random forest classifier is selected. The recognition accurate rate of the classifier to the human pixel reaches 90%. For 320*240 depth image, the processing speed of Intel single-core 1.6 GHZ processor is 15ms/fps. And it has the real-time processing capacity.
Sparse to Dense Scene Flow Estimation From Light Fields

The paper addresses the problem of scene flow estimation from sparsely sampled video light fields. The scene flow estimation method is based on an affine model in the 4D ray space that allows us to estimate a dense flow from sparse estimates in 4D clusters. A dataset of synthetic video light fields created for assessing scene flow estimation techniques is also described. Experiments show that the proposed method gives error rates on the optical flow components that are comparable to those obtained with state of the art optical flow estimation methods, while computing a more accurate disparity variation when compared with prior scene flow estimation techniques.
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction

To meet the standard of differential privacy, noise is usually added into the original data, which inevitably deteriorates the predicting performance of subsequent learning algorithms. In this paper, motivated by the success of improving predicting performance by ensemble learning, we propose to enhance privacy-preserving logistic regression by stacking. We show that this can be done either by sample-based or feature-based partitioning. However, we prove that when privacy-budgets are the same, feature-based partitioning requires fewer samples than sample-based one, and thus likely has better empirical performance. As transfer learning is difficult to be integrated with a differential privacy guarantee, we further combine the proposed method with hypothesis transfer learning to address the problem of learning across different organizations. Finally, we not only demonstrate the effectiveness of our method on two benchmark data sets, i.e., MNIST and NEWS20, but also apply it into a real application of cross-organizational diabetes prediction from RUIJIN data set, where privacy is of a significant concern.
SCIENTIFIC INFORMATION IN FUR ANIMAL PRODUCTION

The aim of the study was to compare the antioxidant status in farmed raccoon dogs (Nyctereutes procyonoides Gray) in Poland and Russia. Tissue samples (liver, kidney, heart, lung, spleen, skeletal muscle) were collected in the late autumn when animals show willingness to winter conditions and examined for indicators of the antioxidant system – vitamin A and E content, reduced glutathione (GSH) level and activities of superoxide dismutase (SOD) and catalase. The largest difference between raccoon dogs farmed in Poland and Russia for indicators of the antioxidant system was found in the liver. Our results might suggest that raccoon dogs from higher latitudes possess stronger antioxidant capacity than animals from lower latitudes but confounding of latitude with nutrient intake as well as farm environment cannot be excluded.
Cryptic Risks to Forest Biosecurity Associated with the Global Movement of Commercial Seed

The import and export of tree seed carries with it risks of inadvertent introduction of pests and pathogens to hitherto unaffected regions. Although trade in seed of specified trees is regulated, phytosanitary requirements for most tree species are minimal, even those related to the most important forest tree species in a given region. A better understanding of the microbiome associated with seed intended for commercial production or ornamental use, and their potential risk with the transport from the source origin of distributors, will help regulatory agencies implement measures to safeguard seed health and avoid trade-related spread of potentially harmful pathogens. In this study we used high-throughput sequencing to show that highly diverse fungal communities were associated with seed of 14 different Pinus species obtained from seed banks (seed orchards) and retail sources (online distributors) in North America and Europe. Fungal diversity differed among the 23 seedlots tested. Community composition did not relate to the species of Pinus nor the country of origin. Assigned potential functions based on sequence identity using FUNGuild provided an overall understanding of the likely life strategies of fungal operational taxonomic units (OTUs). Of those sequences classified to a trophic level, 453 were plant pathogens, with the Dothideomycetes having the highest prevalence. The most common plant pathogens included Sydowia polyspora, Lasiodiplodia theobromae, Diplodia intermedia and Diplodia sapinea that were detected from the majority of Pinus species. The evidence presented here illustrates an urgent need for plant protection authorities, practitioners and the general public to recognize the potential risk of introducing harmful pathogens through innocent transport of seed.
New coder for DVB-S /-DSNG and DVB-C standards

TV Test Transmitter R&S SFQ New coder for DVB-S/-DSNG and DVB-C standards With a new coder, the TV Test Transmitter R&S SFQ (FIG 1) now supports the satellite standard DVB-S/-DSNG (digital satellite news gathering), which meets the growing demand for more transmission capacity. The coder also matches the DVB-S and DVB-C standards. It stands for a considerably extended symbol rate range and enhanced quality. The future-proofness of the universal R&S SFQ modulation platform and the versatile capabilities of the new coder are not at least due to high-efficiency Turbo coding.
Eppendorf BioSpectrometer ® kinetic : activity measurements of enzymes immobilized on a mesoporous silica matrix

Within this report, 6-phospho gluconate dehydrogenase is immobilized on a mesoporous silica matrix, and the functionality of the membrane-bound enzyme is demonstrated using activity assays performed in the Eppendorf BioSpectrometer kinetic. Free enzyme and immobilized enzyme are compared in a longitudinal study. Activity is determined via an increase in NADPH over time. Since the Eppendorf BioSpectrometer allows direct calculation of enzyme activity [U/mg], additional timeconsuming calculations are no longer required. The function “linear regression” within the kinetic methods of the Eppendorf BioSpectrometer is useful for the accurate definition of the linear range of a kinetic measurement. Since activity measurements needed to be performed at 25 °C, variations in measurements could be minimized by taking advantage of the option to regulate the temperature of the cuvette shaft of the Eppendorf BioSpectrometer kinetic. Eppendorf BioSpectrometer® kinetic: activity measurements of enzymes immobilized on a mesoporous silica matrix
Dynamic Visual Capture: Apparent Auditory Motion Induced by a Moving Visual Target

Apparent motion of a sound source can be induced by a moving visual target. The direction of the perceived motion of the sound source is the same as that of the visual target, but the subjective velocity of the sound source is 25–50% of that of the visual target measured under the same conditions. Eye tracking of the light target tends to enhance the apparent motion of the sound, but is not a prerequisite for its occurrence. The findings are discussed in connection with the ‘visual capture’ or ‘ventriloquism’ effect.
Investigating a deep geothermal reservoir using ambient noise correlation

The ambient noise cross correlation technique is widely used in seismology and many examples of its can be found in the literature. The method determines the Green’s function between a pair of receivers by correlating sufficiently long seismic noise records. However, few applications of the method have been performed at a local scale and at periods lower than 5s, where the seismic noise is mostly dominated by anthropogenic sources. This represents the context of our study in the area of Rittershoffen (North-East of France) where a deep geothermal plant (2500m) is about to be installed (ECOGI project). The aim of this study is to build an image of the geothermal reservoir using ambient noise cross-correlation at high frequencies (0.2 to 5 Hz) and to follow the evolution of the reservoir during the production period. We have applied the standard surface-wave ambient noise cross-correlation technique to about 3 years of continuous data recorded by short-period permanent stations in this region. At periods below 0.5 s, the dispersion curves are poorly constrained and the correlation functions are less stable over time. It appears that the non uniform distribution of the noise sources plays a major role in the poor quality of the correlation functions in this period range. An on-going approach based on beamforming from local seismic arrays is shown to provide significant improvements.
SERIES Future Fiscal and Budgetary Shocks

We study here the effects of future tax and budgetary shocks on present levels of economic activity and real interest rates in a nonmonetary and possibly non-Ricardian economy. The paper first takes up an (unanticipated) temporary tax cut to be effective on a given future date—a delayed “debt bomb. ” The sudden prospect of this future-dated shock causes at once a drop in the (unit) value placed on the firms’ business asset, the customer, and accordingly on the price of shares—with the result that the hourly wage, hours worked and GDP drop in tandem. This paradox of reduced activity through announcement of future “stimulus” does not hinge on an upward jump of long rates of interest, which may or may not occur: the short rate of return on shares is increased by the initial drop in their price, but the price has so much farther to fall that this is more than offset for a time by the expectation of ongoing capital loss, so short rates of interest actually drop. The paper next studies a future tax cut lacking a “sunset” provision and requiring instead a gradual welfare benefit adjustment to retain solvency. The same negative effects on present activity result. Third, the paper shows that if the tax cut is effective immediately, its effect is ambiguous, as the Marshallian supply-sider effect works the other way. Finally, the paper also examines the new anticipation of a future increase in the number of retirees in a payas-you-go social security program. In conclusion, juxtaposing these results against recent US experience, we hypothesize that the legislation of an unsustainable fiscal gap—the cuts in tax rates and the rise of future obligations owing to the cumulative deficit and the approaching bulge in retirement benefits—is an important cause of the decline in hours worked per employee and in the participation rates over the period. (JEL: E24, E43, E62, F41)
UNIVERSITY OF VAASA FACURITY OF TECHNOLOGY INDUSTRIAL MANAGEMENT

China was famous as world factory. Most small and medial size Chinese industry are facing the industrial transformation and upgrading stage. Innovation level as a competitive competence is extremely important to manufacturing. However, sophisticated technique and radical innovation skills are still blank in level of SMEs. The thesis will focus on solve innovation dilemma in SMEs, that Chinese SMEs prefer incremental innovation rather than radical innovation, and radical innovation cannot occur in large scale. There are some barriers that impeded Chinese innovation had also been discussed. To clarify the barriers helps industry easier innovate than before. Research will combine both quantitative data analysis and qualitative data analysis to explore three questions. Quantitative data observed from case company. By using statistical method, correlation between data can be recognized. Qualitative data received mainly from a talk interview. This interview organized by Chinese official television station. Business network relationship reports and journals are the second main resources for qualitative data analysis. The thesis will indicate that Chinese SMEs prefer slow innovation has historical reason and quick profit desire. Number of innovation might have no different between big companies and small companies, but big companies have more resources to do radical innovation than small ones. All action bonds within business value net are somehow affect innovation development in China. A efficient collaborative networks with each action bonds can help to increase the innovation level.
Factors in fl uencing bacterial microbiome composition in a wild non-human primate community in Taï National Park , Côte d ’ Ivoire

Microbiomes impact a variety of processes including a host’s ability to access nutrients and maintain health. While host species differences in microbiomes have been described across ecosystems, little is known about how microbiomes assemble, particularly in the ecological and social contexts in which they evolved. We examined gut microbiome composition in nine sympatric wild non-human primate (NHP) species. Despite sharing an environment and interspecific interactions, individuals harbored unique and persistent microbiomes influenced by host species, social group, and parentage, but surprisingly not by social relationships among members of a social group. We found a branching order of host-species networks constructed using the composition of their microbiomes as characters, which was incongruent with known NHP phylogenetic relationships, with chimpanzees (Pan troglodytes verus) sister to colobines, upon which they regularly prey. In contrast to phylogenetic clustering found in all monkey microbiomes, chimpanzee microbiomes were unique in that they exhibited patterns of phylogenetic overdispersion. This reflects unique ecological processes impacting microbiome composition in chimpanzees and future studies will elucidate the aspects of chimpanzee ecology, life history, and physiology that explain their unique microbiome community structure. Our study of contemporaneous microbiomes of all sympatric diurnal NHP in an ecosystem highlights the diverse dispersal routes shaping these complex communities.
Neuroglial population in the spinal white matter of neonatal and early postnatal rats: An autoradiographic study of numbers of neuroglia and changes in their proliferative activity

The temporal pattern of increase in number of neuroglia in spinal cord white matter and the amount of multiplication in situ of these cells were studied in rats ranging from less than 12 hours following birth to 30 days of age. Autoradiographs of sections from animals killed four hours after injection of tritiated thymidine were studied; counts of the total neuroglial population and of the number of labeled neuroglia were made in the white matter of each half of the cord (hemisection). During the first two weeks following birth, the number of neuroglia per hemisection increased six times; thereafter, the population appeared to be stable. The increases in number of labeled neuroglia appeared to parallel the rise in total population, particularly during the period of greatest population increase, i.e., days 7 through 12. After 12 days, when the total population stabilized, there was a marked and rapid decrease in the number of labeled cells. The walls of the central canal were examined in view of the role this area plays in the initial development of the nervous system. In rats killed during the first 14 days postnatally, the dorsal and ventral walls were incomplete; however, numerous, unidentified cells adjacent to these walls were oriented as if entering the dorsal median septum and the ventral median sulcus. By 22 days the central canal area had more of its adult appearance.
Discrete Artificial Bee Colony Algorithm for Load Balancing in Cloud Computing Environment

Load balancing is the main challenge in cloud computing environment.It is a process of reassigning the totalload to the individual nodes of the collective system of the facilitate networks so that no one virtual machine is overloaded and no one is under-loadedin order to improve the response time of the job with maximum throughput in the system.This paper improvises the existing ABC algorithm and proposes Discrete Artificial Bee Colony (DABC) algorithmas a load optimization algorithm byintroducing changes in the employee bee phase, onlooker bee phase and scout bee phase. The mutations operator is added into the onlooker phase to get the new best solutions. The discrete operators are used for positions updations in these three phases which improve its make-span and average resource utilizations. The load balancing module is also considered in this algorithm that if one resource is overloaded then the task is transferred to the under-loaded resource Theexperimental result have shown the proposed algorithm perform better than the existing Artificial Bee Colony(ABC) algorithm and other algorithms in term of some parameters like Makespan and Average Resource Utilizations Ratio.
Assistance to coordination in the AEC sector. A multi-view interface dedicated to building construction activity.

: In the Architecture Engineering and Construction (AEC) sector, cooperation between actors is essential for projects success. During the building construction activity, organization is both hierarchical and adhocratic. Decision assistance tools have to integrate these heterogeneous parameters. The proposition described here consists of the design of a coordination assistance tool providing synthetic indicators on the statement of the activity and also allowing the user to navigate in the cooperative context through multiple views. This proposition is based on a model architecture allowing us to manage cooperative context information and its visualization.
Concept Analysis of Fighting Spirit in Korean Patients with Cancer

Corresponding author: Kim, Jung A https://orcid.org/0000-0002-6575-452X Division of Nursing, Hanyang University, 222 wangsimni-ro, Sungdong-gu, Seoul 04763, Korea. Tel: +82-2-2220-0799, Fax: +82-2-2295-2074, E-mail: joyhippo@hanyang.ac. kr Received: Dec 3, 2018 / Revised: Jan 11, 2019 / Accepted: Jan 24, 2019 This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Korean Journal of Adult Nursing Vol. 31 No. 1, 50-60, February 2019 pISSN 1225-4886 / eISSN 2288-338X https://doi.org/10.7475/kjan.2019. 31.1. 50
Demystifying Iddq Data With Process Variation for Automatic Chip Classification

Iddq testing is an integral component of test suites for the screening of unreliable devices. As the scale of silicon technology continues shrinking, Iddq values and associated fluctuations increase. In addition, increased design complexity makes defect-induced leakage currents difficult to differentiate from full-chip currents. Consequently, traditional Iddq methods result in more test escapes and yield loss. This brief proposes a new test method, called σ-Iddq to provide the following: 1) Iddq analysis with process-parameter deduction and 2) the algorithm for automatic chip-classification called collective analysis without the need to manually determine threshold values. We randomly inserted a number of multiple defects into samples of ISCAS'89 and IWSL'05 benchmark circuits. Experimental results demonstrate that the proposed σ-Iddq method can achieve higher classification accuracy than single-threshold Iddq testing or AIddq in a 45-nm technology. The overall classification accuracy of the collective analysis achieve averaged 99.28% and 99.70% on σ-Iddq data from process-parameter deductions with average-case search and multilevel search, respectively, demonstrating that the influence of process variation and design scaling can be significantly reduced to enable a better identification of defective chips.
Regulation of α–endosulfine, an inhibitor of protein phosphatase 2A, by multisite phosphorylation

Progression into M phase requires inhibition of heterotrimeric PP2A containing the regulatory B55 subunit (PP2A–B55) as well as the activation of cyclin‐dependent kinase 1 (Cdk1). α–endosulfine (ENSA)/cyclic AMP‐regulated 19 kDa phosphoprotein (ARPP–19) family proteins phosphorylated at S67 by Greatwall kinase bind and inhibit PP2A–B55. This study shows that endogenous kinases phosphorylate not only S67 but also two additional sites in ENSA (T28 and S109) with different kinetics at different cell‐cycle stages in Xenopus laevis intact cells and cell‐free egg extracts. When assayed in vitro, these phosphorylations had qualitatively and/or quantitatively different effects on inhibition of PP2A–B55 by ENSA. Structural analyses revealed that the most‐conserved middle region of ENSA containing S67 physically interacts with PP2A–B55 at the interface of the B55 and C subunits, where the catalytic centre of PP2A is located. As non‐phosphorylated ENSA has an intrinsic potential for PP2A–B55 inhibition, these three phosphorylations differentially affect physical interaction of the middle region of ENSA with PP2A–B55. These results suggest that the two additional phosphorylation sites together with S67 allow ENSA to function as a ‘stepwise tuner’ for PP2A–B55, which may be regulated by multiple cellular signals, rather than a simple ‘on/off’ switch.