Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloning and Expression of Mouse Liver Phosphatidylserine Synthase-1 cDNA OVEREXPRESSION IN RAT HEPATOMA CELLS INHIBITS THE CDP-ETHANOLAMINE PATHWAY FOR PHOSPHATIDYLETHANOLAMINE BIOSYNTHESIS*

In eukaryotic cells, phosphatidylserine (PtdSer) is synthesized by two distinct synthases on the endoplasmic reticulum by a base-exchange reaction in which the polar head-group of an existing phospholipid is replaced with serine. We report the cloning and expression of a cDNA for mouse liver PtdSer synthase-1. The deduced protein sequence is > 90% identical to that of PtdSer synthase-1 from Chinese hamster ovary cells and a sequence from a human myeloblast cell line. PtdSer syn-thase-1 cDNA was stably expressed in M.9. 1.1 cells which are mutant Chinese hamster ovary cells defective in PtdSer synthase-1 activity, are ethanolamine aux-otrophs, and have a reduced content of PtdSer and phosphatidylethanolamine (PtdEtn). The growth defect of M.9. 1.1 cells was eliminated, and a normal phospholipid composition was restored in the absence of exogenous ethanolamine, implying that the cloned cDNA encoded PtdSer synthase. Mouse liver PtdSer synthase-1 was also expressed in McArdle 7777 rat hepatoma cells. In addition to a 3-fold higher in vitro serine-exchange activity, these cells also exhibited enhanced choline- and ethanolamine-exchange activities and incorporated more [ 3 H]serine into PtdSer than did control cells. How-ever, the levels of PtdSer and PtdEtn in cells
INTEGRATIF The Effect of Papaya Leaf Flour and Turmeric Flour on the Broiler Carcasses

P. Abstract. This study aims to determine the effect of providing papaya flour and turmeric flour as feed additives on slaughter weight, carcass weights and percentage of broiler chicken carcasses. This research was conducted in the enclosure of Animal Husbandry Study Program, Faculty of Agriculture, University of North Sumatra in October to November 2019. The design used in this study was a complete random design (CRD) with 4 treatments and 5 replications. The treatment consisted of P0 = control feed; P1 = addition of 0.5% turmeric flour; P2 = addition of 5% papaya leaf flour; and P3 = addition of 0.5% turmeric flour and 5% papaya leaf flour. The parameters observed were cutting weight, carcass weight and carcass percentage. The results showed that the addition of turmeric feed and papaya leaves into the feed did not have a significant effect on the slaughter weight, carcass weight and percentage of 35-day-old broiler chicken carcass. The treatment showed a tendency that the weight of cut and carcass weight of papaya leaf addition was better than turmeric and control. The conclusion of this study is the addition of papaya leaf flour and turmeric flour as feed additives did not have an effect on the broiler chicken carcass. results of the analysis of variance that the addition of and into feed had on the percentage of carcasses.
Evidence for a relationship between longevity of mammalian species and life spans of normal fibroblasts in vitro and erythrocytes in vivo

The replicative life spans of mammalian fibro- blasts in vitro were studied in a number of cell cultures representing eight species. Emphasis was placed on determining the population doubling level at which phase III (a period of decrease in the rate of proliferation) and chromosomal alterations occur. All the cell cultures studied went through a growth crisis, a period of apparent growth cessation lasting for at least 2 weeks. In most cultures, the crisis represented the end of their replicative ca-pacities, but in some cultures cell proliferation was resumed after the crisis. A predominantly diploid chromosome constitution (more than 75%) was demonstrated prior to the growth crisis. In cultures in which cell proliferation was resumed after the crisis, a nondiploid constitution prevailed in all cases except the rat (with 90% or more diploid cells all the time). The growth crisis occurred at population doubling levels that were characteristic for the species and was shown to be related to the species' maximal life span by a strict power law, being proportional to the square root of the maximal life span. Based on data in the literature, the same re- lationship was also valid for the lifespans of circulating mammalian erythrocytes in vivo. These results may indicate the prevalence of a common functional basis regulating the life span of fibroblasts and erythrocytes and thus operating in replicative as well as postmitotic cells in vitro and in viva
Precipitation biases and snow physics limitations drive the uncertainties in macroscale modeled snow water equivalent

Abstract. Seasonal snow is an essential component of regional and global water and energy cycles, particularly in snow-dominant regions that rely on snowmelt for water resources. Land surface models (LSMs) are a common approach for developing spatially and temporally complete estimates of snow water equivalent (SWE) and hydrologic variables at a large scale. However, the accuracy of the LSM-based SWE outputs is limited and unclear by mixed factors such as uncertainties in the meteorological boundary conditions and the model physics. In this study, we assess the SWE, snowfall, precipitation, and air temperature products from a 12-member ensemble – with four LSMs and three meteorological forcings – using automated SWE, precipitation, and temperature observations from 809 Snowpack Telemetry stations over the western US. Results show that the mean annual maximum LSM SWE is underestimated by 268 mm. The timing of peak SWE from the LSMs is on average 36 d earlier than that of the observations. By the date of peak SWE, winter accumulated precipitation is underestimated (forcings mean: 485 mm vs. stations: 690 mm). In addition, the precipitation partitioning physics generates different snowfall estimates by an average of 113 mm with the same forcing data. Even though there are widespread cold biases (up to 3 ∘C) in the temperature forcings, larger ablations and lower ratios of SWE to total precipitation are found even in the accumulation period, indicating that melting physics in LSMs drives some SWE uncertainties. Based on the principal component analysis, we find that precipitation bias and partitioning methods have a large contribution to the first principal component, which accounts for about half of the total variance. The results provide insights into prioritizing strategies to improve SWE estimates from LSMs for hydrologic applications.
Cross-modality learning for tumor segmentation in dosimetric planning

With more than 1 million new diagnoses and 350,000 deaths per year worldwide, prostate cancer is the second most common cancer in men [1]. Multi-parametric magnetic resonance (MR) imaging is, along with digital examinations, prostatic specific antigen (PSA) testing and prostate biopsies, one of the cornerstones of both diagnosis and therapeutic management [2]. It allows the selection of patients eligible for active surveillance, surgical and therapy planning or local assessment in case of recurrence. Its use in radiotherapy should significantly increase in the coming years since the interest of a focal dose increase with respect to the intra-prostatic tumor volume has been shown to reduce the risk of recurrence. Such a planning requires a precise definition of the gross tumor volume (GTV) but two issues arise : 1an underestimation of GTV on prostate MR images compared to surgical specimens, 2an important variability of the GTV definition between experts. These difficulties can be explained by the lack of methodological consensus on the definition of GTV but also by the complexity of such a task. Automatic and robust GTV segmentation based on multiple multi-modal acquisitions including MR T2, ADC, B2000, perfusion and computed tomography images with contrast agent injection, is requested to standardize the dosimetric planning while alleviating the expert variability induced by the delineation task.
Initiates Splenic White Pulp Formation Expression by Late Transitional B Cells CXCL13 Responsiveness but Not CXCR5

Secondary lymphoid organs (SLO) provide the structural framework for coconcentration of Ag and Ag-speciﬁc lymphocytes required for an efﬁcient adaptive immune system. The spleen is the primordial SLO, and evolved concurrently with Ig/TCR:pMHC-based adaptive immunity. The earliest cellular/histological event in the ontogeny of the spleen’s lymphoid architecture, the white pulp (WP), is the accumulation of B cells around splenic vasculature, an evolutionarily conserved feature since the spleen’s emergence in early jawed vertebrates such as sharks. In mammals, B cells are indispensable for both formation and maintenance of SLO microarchitecture; their expression of lymphotoxin a 1 b 2 (LT a 1 b 2) is required for the LT a 1 b 2:CXCL13 positive feedback loop without which SLO cannot properly form. Despite the spleen’s central role in the evolution of adaptive immunity, neither the initiating event nor the B cell subset necessary for WP formation has been identiﬁed. We therefore sought to identify both in mouse. We detected CXCL13 protein in late embryonic splenic vasculature, and its expression was TNF- a and RAG-2 independent. A substantial inﬂux of CXCR5 + transitional B cells into the spleen occurred 18 h before birth. However, these late embryonic B cells were unresponsive to CXCL13 (although responsive to CXCL12) and phenotypically indistinguishable from blood-derived B cells. Only after birth did B cells acquire CXCL13 responsiveness, accumulate around splenic vasculature, and establish the uniquely splenic B cell compartment, enriched for CXCL13-responsive late transitional cells. Thus, CXCL13 is the initiating component of the CXCL13:LT a 1 b 2 positive feedback loop required for WP ontogeny, and CXCL13-responsive
The NP-completeness of EULERIAN RECURRENT

It is shown that it is $ \mathrm{N}\mathrm{P}$ -complete to determine the maximum length of the shortest cycles in Eulerian trails of an arbitrary Eulerian graph. By the authors, the maximum length of the shortest cycles in Eulerian trails of an Euterian graph is referred to as Eulerian recurrent length of the Eulerian graph, and the decision problem above is named EULERIAN RECURRENT LENGTH.
Use of Packed Red Blood Cell Mechanical Fragility to Indicate Transfusion Outcomes

The hypothesis for this study was that RBC mechanical fragility (MF) could be an aggregate in vitro property predictive of transfused RBC performance in vivo. Various MF values were obtained via MF profiling, based on several variations of testing parameters, using both a "legacy" approach (with a commercial, cam-based vertical bead mill and a spectrophotometer) and a more proprietary approach (with a custom-developed, electromagnetic horizontal bead mill combined with proprietary optics and analysis). A total of 52 transfusion events in 32 different patients recruited from the University of Michigan were included in this study. Results were assessed using mixed effects and linear regression models. RBC MF was shown to predict about 15% of transfusion-associated changes in patient hemoglobin concentration, but not of secondary hemolysis-associated metrics (serum hemoglobin, HAP, and LDH). This result was affected by several factors that were not fully accounted for, including variability in post-transfusion blood collection time and variability in each blood unit volumes. Inclusion of the number of units transfused showed the potential to improve predictive capability, thus highlighting the potential importance of underlying patient condition necessitating the second unit transfusion. Certain ways of applying the bead-induced mechanical stress showed MF results more suitable for predicting transfusion outcomes than others indicating potential significance of flow stress type for assessing storage-induced RBC membrane damage. That highlights an opportunity for improvement of the potential for use of MF metrics, through identification of optimal stress application parameters (possibly by further varying parameters used here, as well as others) for assessing contribution of storage-lesion-associated RBC damage on transfused RBC performance.
3 Group Interrogation: A Group Programming Primitive

Group communication is becoming an increasingly important communication paradigm of mod ern distributed systems, but programming-level support for group communication is hitherto missing. Remote procedure call is a familiar programming-level abstraction to support unicast "request-response-style" communication. What should be the corresponding abstraction for mul ticast communication, and what are the semantics and desirable properties of such a communica tion abstraction. These questions are addressed in this paper. The paper presents a logical extension to the ODP interrogation and announcement primitives, for the support of "client server-style" interaction in a multi-endpoint environment.
Gamification to expand awareness about stress and its impacts within companies Gamification eustress x distress

The work environment has changed and accompanied the advancement of technologies with greater speed than the adaptability of workers. Professionals now live under continuous stress, not only in the workplace but also in life in general. There is therefore a large area of modern life where they mix the stressors of work and everyday life. The person, apart from the usual occupational responsibilities, in addition to high competitiveness required by companies, in addition to constant learning needs, have to deal with normal life stressors in society, such as social security, family maintenance, cultural requirements etc. It is quite possible that all these new challenges overcome the adaptive limits leading to stress.
Research and application on multi-terminal and DC grids based on VSC-HVDC technology in China

Voltage source converter (VSC)-based high-voltage direct current (HVDC) and multi-terminal (MT)/DC grid technologies are the new HVDC transmission technologies after ultra-high voltage alternative current (UHVAC) and UHVDC transmission technologies which have been widely used in China. The application of the new technologies has resulted in a rapid increase in the number of schemes in construction and planning worldwide. This has been stimulated by the greater level of functionality available from the VSC technology, which makes it suitable for a wide variety of applications. These include the integration of off-shore wind farms, embedded links within AC networks and interconnectors, especially where the AC networks are relatively ‘weak’. VSC technology has renewed interest in MT DC systems, which may ultimately lead to wide area DC grids. This study outlines the research and application on MT and DC grids in China with respect to VSC-HVDC key technologies and DC grid key technologies based on the presentation given in the International Workshop on Next Generation Power Equipment held on 23 September 2016 in Xian, China. The briefing details of the VSC-HVDC projects constructed and to be constructed in China are summarised in this study.
Intracranial aneurysms detection in 3D cerebrovascular mesh model with ensemble deep learning

The intracranial aneurysms rupture can cause serious stroke, which relates to decline of daily life ability in the elderly. Although deep leaning is now the most successful solution for the organ detection, it requires myriads of training data, the consistency of image format and the balance of the sample distribution. This research innovatively presents the intracranial aneurysm detection problem as a shape analysis problem rather than a computer vision problem. We detect the intracranial aneurysms in 3D cerebrovascular mesh models after the segmentation of the brain vessel from the medical images, which can break the barriers of the data format and data distribution, serving both in clinical and screening. Also we propose a transferable multi-model ensemble (MMEN) architecture to detect the intracranial aneurysms from cerebrovascular mesh models with limited data. To obtain a well-deﬁned convolution operator, we use the global seamless parameterization converting a 3D cerebrovascular mesh model to a planar ﬂat-torus. In the architecture, we transfer the planar ﬂat-torus presentation abilities of three GoogleNet Inception V3 models, which were pre-trained on the ImageNet database, to characterize the intracranial aneurysms with local and global geometric features such as Gaussian curvature, shape diameter function and WKS, respectively. We jointly utilize all these ﬁve models to detect aneurysms with adaptive weights learning based on back propagation. Experimental results on the 121 models show that our proposed method can achieve detection accuracy of 95.1% with 94.7% F1 score and 94.8% sensitivity, which is as good as the state-of-art work but applicable to inhomogeneous image modalities and smaller datasets.
Fault Detection and Isolation of the Wind Turbine Benchmark: an Estimation-based Approach

Abstract In this paper, a fault detection and isolation (FDI) method is developed for wind turbines based on a benchmark system model. The FDI method follows a general architecture developed in previous papers, where a fault detection estimator is used for fault detection, and a bank of fault isolation estimators are employed to determine the particular fault type/location. Each isolation estimator is designed based on a particular fault scenario under consideration. Some representative simulation results are given to show the effectiveness of the FDI method.
Driving Simulator Sickness Screening: Efficient and Effective New Protocol

simulators allow researchers to study situations that would otherwise be difficult or impossible to investigate. Simulator sickness can negatively affect these studies, make participants uncomfortable or ill, and waste the time of both participants and researchers. A new, faster, simulator sickness screening protocol has been developed, based on prior protocols. We describe an ongoing longitudinal quantitative assessment using an electronic version of the screening protocol to verify our initial experience with a paper version of high accuracy in excluding participants who would otherwise have to drop out of a driving study due to simulator sickness.
Kansei Engineering International Journal

This paper is looking at the ways of incorporating engineering emotional values into product design through Kansei engineering. The first part of the paper describes the Kansei engineering methodology. The second attempts to link emotions and product properties through various methods from Kansei engineering. Some results from the second part have been used in the first part as illustrated examples. The second part is used to validate Kansei engineering methodology through this study some questions have been investigated: Which methods within Kansei engineering can be deployed in design practices? Is Kansei engineering a tool which can be used by most designers to link emotions and product properties? Do users know how to describe their ideal products through words? And what is the future for Kansei engineering in India?
Key technologies for novel wavelength-selective photodetectors

One-Mirror-Inclined Three-Mirror-Cavity (OMITMiC) photodetector, which combines a Fabry-Perot filtering-cavity with a taper absorption-cavity, features high-speed, high quantum efficiency and ultra-narrow spectral linewidth simultaneously and allows wide range tuning when proper tuning mechanism is introduced. First fabrication and demonstration of this kind of device on GaAs substrate had been done in our laboratory. A quantum efficiency of 75% and a spectral linewidth of 0.8 nm (FWHM) were achieved with an absorption layer as thin as 0.119 /spl mu/m. Relevant micromechanical tunable Fabry-Perot filter with a tuning range about 30 nm had been achieved. Research works on the key technologies to transfer our success to InP based long wavelength device are also presented.
The Cell Division Rates of Ten Species of Attaching Diatoms in Natural Seawater*1

The cell division rates of ten species of attaching diatoms isolated from Ago Bay were me asured on the bottom of the culture vessel with running nutrient-poor natural seawater under the illumination of 4000 lx with a dark/light cycle of 10114 hours at ca. 19•Ž. The exchange rate of running seawater through the culture vessel affected the cell division rate of attaching diatom. At ca. 4-5 day-1 of exchange rate of seawater, the cell division rates were as follows: Cymbella sp. , 0.57 day-1; Stauroneis sp. , 0.49; Gyrosigma sp. , 0.80; Navicula sp. , 0.57; Nitzschia closterium, 1.60; Cocconeis scutellum, 0.86; Melosira sp. , 0.27; Grammatophora marina, 0.46; Trigonium formosum, 0.29, and Gomphonema sp. , 0.34. The cell division rates obtained in running nutrient-poor sea water corresponded to those in nutrient-enriched medium. The cell division rates of former six species which showed gliding movement and did not form their chain or colony, were larger than those of the latter four species which formed their chain or colony and adhered tightly to the sub strate. This result may suggest that the latter type diatom competes with each other for light, nutrients, space and so on more severely than the former.
Multiplex immunoassay of the cytokine profile in systemic lupus erythematosus: Relationship with disease activity and level of antinuclear antibodies

cytokine erythematosus: Systemic lupus erythematosus is an autoimmune disease characterized by pathological activation of B- and T-cells, the formation of antinuclear antibodies, and dysregulation of cytokine production. The aim of the work was to study the cytokine profiles in patients with this disease in comparison with the disease activity and levels of antinuclear antibodies when using multiplex immunoassay technology, which has a high analytical sensitivity and provide the possibility of simultaneous determination of a large number of biomarkers. Hyperproduction of chemokines IP-10 and MCP-1, regulated by IFN, was associated with high activity of the disease and increased production of antinuclear antibodies. Various immunological subtypes of systemic lupus erythematosus were identified according to the cytokine profile, which re-flects the heterogeneity of this multifactorial disease.
Innovation capital in the appraisal system of intrinsic industrial enterprise value

The paper studies innovation capital value of in formation of intrinsic industrial enterprise value. The authors specify a structure of intrinsic industrial enterprise value, establish an innovation capital position therein and describe interrelation between all cost components. Concept and essence of enterprise innovation capital are defined on the basis of a scholarly opinion with concentration on its difference from innovation potential. The scheme of innovation capital formation with involved cost components is described during clarification of nature of innovation capital and its importance in intrinsic industrial enterprise value management. In the paper there is indicated an estimation procedure, in which description differential features of such components appraisal as value of innovation projects in the developmental stage and value of innovation projects in the implementation phase are emphasized based on the author’s clarification of essence of innovation capital and identification of its place in a modified model of intrinsic industrial enterprise value. The proposed procedure of innovation capital estimation is approved by an example of two innovation projects, which are in the different stages, but have the same earning capacity and equal financing terms. The calculation data showed that enterprise innovation capital value, which innovation project is under development, is significantly lower than the same indicator of a company, which innovation project is underway. The recommendations on investment policy improvement, made by the authors, which are aimed at innovation capital compounding and intrinsic industrial enterprise value increase, form the result of the paper.