Miracle-dz/UniFAR-FTUs huggingface dataset:
CLONING OF A cDNA ENCODING A 66‐kDa Ca2+‐DEPENDENT PROTEIN KINASE (CDPK) FROM DUNALIELLA TERTIOLECTA (CHLOROPHYTA)

A cDNA clone encoding a Ca2+‐dependent protein kinase (DtCPK1) with a calculated molecular mass of 65,746 Da was isolated by sequential immuno‐ and hybridization‐screening from a cDNA library of the halotolerant green alga, Dunaliella tertiolecta Butcher (Chlorophyceae). Primary structure analysis of DtCPK1 revealed a long variable domain preceding a catalytic domain, an autoinhibitory junction domain, and a C‐terminal calmodulin‐like domain containing 4 EF‐hand motifs. Database searches showed that DtCPK1 has a high similarity to CCK1, a CDPK from the green alga, Chlamydomonas eugamentos Moewus. The N‐terminal long variable domain of DtCPK1 contains neither the N‐myristoylation motif, which is found in many CDPKs, nor the PEST motif, which is associated with rapid protein turnover and found in one CDPK subfamily. However, a putative Ca2+‐dependent lipid binding domain that might be responsible for the association of cytosolic DtCPK1 with the cell membrane was identified in the variable domain. Three CDPKs, with molecular masses of 62, 54, and 47 kDa respectively, were observed in an in‐gel protein kinase assay of D. tertiolecta cells extract. No change in the activities of these CDPKs were observed for up to 30 min after D. tertiolecta cells had been subjected to a hypoosmotic shock. An antibody raised against a CDPK purified from D. tertiolecta and used to isolate the DtCPK1 cDNA clone cross‐reacted strongly with the 62‐kDa CDPK but weakly with the 54‐kDa CDPK in a Western blot, indicating that the 62‐kDa CDPK is identical to DtCPK1. There was no change in the intensity of these bands after hypoosmotic shock, implying that the cellular level of the enzyme protein is not associated with hypoosmotic shock. These results indicate that CDPK is activated only by the increase in cytosolic‐free Ca2+ concentration in vivo.
Separation, antitumor activities, and encapsulation of polypeptide from Chlorella pyrenoidosa

Chlorella pyrenoidosa is a unicellular green algae and has been a popular foodstuff worldwide. However, no reports on the antitumor peptides from such a microalgae are available in the literature. In this study, using low‐temperature high‐pressure extraction, enzymatic hydrolysis, ion exchange, and gel filtration chromatography, we separated a polypeptide that exhibited inhibitory activity on human liver cancer HepG2 cells, and named the polypeptide CPAP (C. pyrenoidosa antitumor polypeptide). Furthermore, the micro‐ and nanoencapsulation of CPAP were investigated by using two methods: complex coacervation and ionotropic gelation. The in vitro release tests revealed that CPAP was well preserved against gastric enzymatic degradation after micro/nanoencapsulation and the slowly controlled release in the intestine could be potentially achieved. These results suggest that CPAP may be a useful ingredient in food, nutraceutical, and pharmaceutical applications. © 2013 American Institute of Chemical Engineers Biotechnol. Prog. , 29:681–687, 2013
An agent model for information filtering using revolutionary RSVD technique

This paper proposes a collaborative software agent model. The agent works in a distributed environment making recommendation based on its up-to-date knowledge. This knowledge is partly acquired from other collaborative agents to combine with its own prior knowledge by means of a revolutionary regularized singular value decomposition (rRSVD) technique. The technique is used as an adaptation process for the agent to learn and update the knowledge periodically. This process employs one of the three agent adaptation models, namely, 2-phase, 1-phase, or non-adaptation that is suitable for the operating bandwidth, along with a fast incremental knowledge adaptation algorithm. As a consequence, the adapted agent will be able to work alone in a distributed environment at a satisfactory level of performance.
Characterization of primary human mammary epithelial cells isolated and propagated by conditional reprogrammed cell culture

Purpose Conditional reprogramming methods allow for the inexhaustible in vitro proliferation of primary epithelial cells from human tissue specimens. This methodology has the potential to enhance the utility of primary cell culture as a model for mammary gland research. However, few studies have systematically characterized this method in generating in vitro normal human mammary epithelial cell models. Results We show that cells derived from fresh normal breast tissues can be propagated and exhibit heterogeneous morphologic features. The cultures are composed of CK18, desmoglein 3, and CK19-positive luminal cells and vimentin, p63, and CK14-positive myoepithelial cells, suggesting the maintenance of in vivo heterogeneity. In addition, the cultures contain subpopulations with different CD49f and EpCAM expression profiles. When grown in 3D conditions, cells self-organize into distinct structures that express either luminal or basal cell markers. Among these structures, CK8-positive cells enclosing a lumen are capable of differentiation into milk-producing cells in the presence of lactogenic stimulus. Furthermore, our short-term cultures retain the expression of ERα, as well as its ability to respond to estrogen stimulation. Materials and Methods We have investigated conditionally reprogrammed normal epithelial cells in terms of cell type heterogeneity, cellular marker expression, and structural arrangement in two-dimensional (2D) and three-dimensional (3D) systems. Conclusions The conditional reprogramming methodology allows generation of a heterogeneous culture from normal human mammary tissue in vitro. We believe that this cell culture model will provide a valuable tool to study mammary cell function and malignant transformation.
Prevalence, Incidence Proportion, and Heritability for Tinnitus: A Longitudinal Twin Study

Objectives: The purpose of this longitudinal twin study was to explore the effect of tinnitus on hearing thresholds and threshold shifts over two decades and to investigate the genetic contribution to tinnitus in a male twin cohort (n = 1114 at baseline and 583 at follow-up). The hypothesis was that participants with faster hearing deterioration had a higher risk for developing tinnitus and there is an underlying role of genetic influences on tinnitus. Design: Male mono- and dizygotic twin pairs, born between 1914 and 1958 were included. Mixed models were used for comparison of hearing threshold shifts, adjusted for age. A co-twin comparison was made within pairs discordant for tinnitus. The relative influence of genetic and environmental factors was estimated by genetic modeling. Results: The overall prevalence of tinnitus was 13.5% at baseline ( age 50) and 34.4% at follow-up ( age 67). The overall incidence proportion was 27.8%. Participants who reported tinnitus at baseline or at both time points were older. At baseline, the hearing thresholds differed between tinnitus cases and controls at all frequencies. New tinnitus cases at follow-up had the greatest hearing threshold shift at the high-frequency area compared with the control group. Within pairs, the tinnitus twin had poorer hearing than his unaffected co-twin, more so for dizygotic than monozygotic twin pairs. The relative proportion of additive genetic factors was approximately 0.40 at both time points, and the influence of individual-specific environment was 0.56 to 0.61. The influence of genetic factors on tinnitus was largely independent of genetic factors for hearing thresholds. Conclusions: Our hypotheses were confirmed: The fastest hearing deterioration occurred for new tinnitus cases. A moderate genetic influence for tinnitus was confirmed.
Two novel effectors of trafficking and maturation of the yeast plasma membrane H+‐ATPase

The endoplasmic reticulum (ER) is the entry site of proteins into the endomembrane system. Proteins exit the ER via coat protein II (COPII) vesicles in a selective manner, mediated either by direct interaction with the COPII coat or aided by cargo receptors. Despite the fundamental role of such receptors in protein sorting, only a few have been identified. To further define the machinery that packages secretory cargo and targets proteins from the ER to Golgi membranes, we used multiple systematic approaches, which revealed 2 uncharacterized proteins that mediate the trafficking and maturation of Pma1, the essential yeast plasma membrane proton ATPase. Ydl121c (Exp1) is an ER protein that binds Pma1, is packaged into COPII vesicles, and whose deletion causes ER retention of Pma1. Ykl077w (Psg1) physically interacts with Exp1 and can be found in the Golgi and coat protein I (COPI) vesicles but does not directly bind Pma1. Loss of Psg1 causes enhanced degradation of Pma1 in the vacuole. Our findings suggest that Exp1 is a Pma1 cargo receptor and that Psg1 aids Pma1 maturation in the Golgi or affects its retrieval. More generally our work shows the utility of high content screens in the identification of novel trafficking components.
Tracking control of a UAV with a parallel visual processor

This paper presents a vision-based control strategy for tracking a ground target using a novel vision sensor featuring a processor for each pixel element. This enables computer vision tasks to be carried out directly on the focal plane in a highly efficient manner rather than using a separate general purpose computer. The strategy enables a small, agile quadrotor Unmanned Air Vehicle (UAV) to track the target from close range using minimal computational effort and with low power consumption. To evaluate the system we target a vehicle driven by chaotic dual-pendulum trajectories. Target proximity and the large, unpredictable accelerations of the vehicle cause challenges for the UAV in keeping it within the downward facing camera's field of view (FoV). A state observer is used to smooth out predictions of the target's location and, importantly, estimate velocity. Experimental results also demonstrate that it is possible to continue to re-acquire and follow the target during short periods of loss in target visibility. The tracking algorithm exploits the parallel nature of the visual sensor, enabling high rate image processing ahead of any communication bottleneck with the UAV controller. With the vision chip carrying out the most intense visual information processing, it is computationally trivial to compute all of the controls for tracking onboard. This work is directed toward visual agile robots that are power efficient and that ferry only useful data around the information and control pathways.
Minority heating by ICRH: a tool for investigating burning plasma physics in FAST

A combined Fokker–Planck numerical analysis of the quasi-linear plasma–ion-cyclotron (IC) wave interaction and collisional relaxation of minority ion tails created by IC absorption was performed in order to determine the characteristic fast-ion parameters that are necessary for addressing some of the main ITER burning plasma physics issues, e.g. fast-ion transport due to collective mode excitations, cross-scale couplings of micro-turbulence with meso-scale fluctuations due to energetic particles, etc. These investigations refer to actual scenarios of the Fusion Advanced Studies Torus (FAST), a conceptual tokamak design operating with deuterium plasmas in a dimensionless parameter range similar to that of ITER and equipped with IC resonance heating (ICRH) as a main heating scheme. The destabilization and saturation of fast-ion driven Alfvénic modes below and above the energetic particle modes stability threshold are investigated by numerical simulations with the HMGC code, which assumes the anisotropic energetic particle distribution function accelerated by ICRH as input. The results of this study, obtained by integration of different numerical simulation analyses aimed at investigating the various relevant physics, are presented and discussed.
Prediction of B Cell Epitopes Among Hantavirus Strains Causing Hemorragic Fever With Renal Syndrome

Hantavirus infections are now recognized to be a global problem. The hantaviruses include several genotypic variants of the virus with different distributions in varying geographical regions. The virus genotypes seem to segregate in association with certain manifestations specific for each syndrome. They primarily include HFRS, HCPS, febrile illness with or without mild involvement of renal diseases. In the course of our study on hantavirus etiology of febrile illnesses, we recovered a hantavirus strain identified by nPCR. This has been sequenced to be Hantaan‐like virus (partial S segment). The current manuscript is focused on understanding the N protein coded by S segment in terms of variation of amino acid sequences of the virus genotypes associated with HFRS. The diagnosis of this infection is achieved by PCR testing of serum/plasma or demonstration of IgM/IgG in serum. The limitations of PCR are temporal often not positive after 7 days of onset of infection. IgM detection is possible around this period and up to 21 days. IgG detection is less definitive in acute infections. Here, we report characterization of the sequence diversity of HFRS strains, 3D structure of Hantaan N protein, and B‐cell epitopes on this molecule. We predicted a 20 amino acid sequence length peptide by using BepiPred online server in IEDB analysis resource program. We suggest this peptide may be used for development of geographic region‐specific immunoassays like EIAs for antibody detection, monoclonal antibody development, and immunoblots (line immunoassay). J. Cell. Biochem. 118: 1182–1188, 2017. © 2016 Wiley Periodicals, Inc.
“You Blame Me, Therefore I Blame Me”: The Importance of First Disclosure Partner Responses on Trauma-Related Cognitions and Distress

Trauma recovery processes may be understood within a socioecological model. Individual factors (such as sex of the survivor) and microsystem factors (including trauma characteristics) have been studied extensively. However, there is a paucity of research examining the effects of macrosystem factors on the impact of trauma—especially examining how the response of the first person to whom the survivor disclosed affects trauma-related cognitions and distress. Sixty-three college student participants reported a history of disclosing at least one traumatic event in an online, anonymous survey. Participants also provided information on the first person they told about the trauma, the social reactions of that person, general social reactions to trauma disclosure, the participants’ trauma-related cognitions and psychological distress (PTSD, other mental health issues), details about the traumatic event, and basic demographic information. Paired sample t tests showed that participants experienced the responses of the first person they told about their trauma as more favorable than the responses of the all of the people to whom they told about the event. Women and survivors of non-interpersonal trauma reported more supportive responses than men and survivors of interpersonal trauma. Hierarchical linear regressions showed that interpersonal trauma and victim blame on the part of the first person the survivor told were associated with more negative trauma-related cognitions. Interpersonal trauma, emotional support, and victim blame were associated with a greater degree of trauma-related distress. The results suggest that participants perceived the response of the first person they told as more beneficial than the response of the rest of their exosystem. However, the reactions of the first person the survivor told differed based on the sex of the survivor and the type of trauma they experienced. Consistent with previous research, interpersonal trauma and victim blame by the first person the survivor told about the trauma were associated with more trauma-related distress and negative cognitions. Trauma-related distress was also associated with greater emotional support by the disclosure partner. The results support the use of the socioeological model to better understand the complex nature of trauma recovery and have implications for prevention.
Genetic parameters of growth and survival in Acacia saligna shrubs

Acacia species have valuable agronomic characteristics, such as the tolerance to unfavorable environmental conditions. In this study, genetic parameters and selection response in Acacia saligna shrubs were investigated in two arid environments of northern Chile: Cuz-Cuz and El Tangue. The quantitative traits were assessed in 5 year-old shrubs. A Bayesian approach, implemented using Gibbs sampling algorithm, was used in the data analysis. The tree survival was 87.3% and 81.8% in Cuz- Cuz and El Tangue, respectively, confirming the potential of A. saligna in northern Chile. The estimates of posterior mode of the heritability ranged from h2=0.13 (survival) to h2=0.25 (shrub crown diameter). Estimated genetic gain (individual tree selection) ranged from 6 to 14% (selection intensity of 20%). Bayesian credible intervals (p=95%) for genotype-environment correlations included zero, indicating a significant interaction for survival, crown diameter and height. Shrub selection in multipurpose planting will depend on optimizing economical traits by selecting genotypes that perform well on a particular environment. Las especies de acacia poseen caracteristicas valiosas, como la tolerancia a condiciones ambientales desfavorables. En el presente estudio, se investigaron parametros geneticos y la respuesta a seleccion en arbustos de Acacia saligna , en dos ambientes aridos del norte de Chile: Cuz-Cuz y El Tangue. Las caracteristicas cuantitativas se evaluaron en arbustos de 5 anos de edad. Para el analisis de datos se utilizo un enfoque Bayesiano, implementado usando el algoritmo de Gibbs. La sobrevivencia fue de 87,3 y 81,8% en Cuz-Cuz y El Tangue, respectivamente, confirmando el potencial de A. saligna en el norte de Chile. Las estimaciones de la moda a posteriori de la heredabilidad vario de h2=0,13 (sobrevivencia) a h2=0,25 (diametro de copa). La ganancia genetica (seleccion de arboles individuales) vario de 6 a 14% (intensidad de seleccion de 20%). Intervalo de credibilidad Bayesiano (p=95%) de las correlaciones genotipo-ambiente incluyeron el valor cero, indicando una significativa interaccion para las caracteristicas de sobrevivencia, diametro de copa y altura. La seleccion de arbustos en plantaciones multiproposito, dependera de la optimizacion de las caracteristicas de interes a traves de la seleccion de genotipos que responden bien en un sitio en particular.
Development of the Electronic System for Obtaining the I-V and P-V Curves of Photovoltaic Module Using a Personal Computer

The test, construction and design of an electronic system in order to measure the electrical characteristic curves of the photovoltaic (PV) module is reported, this electronic system reflects toward the PV module a variable resistance, sampling and capturing the PV module current and voltage, after using software the current and voltage signals are process in order to determinate the power, and also the PV module currentvoltage and power voltage curves are gotten, This information is used for engineers who design PV systems to supplies electrical energy from sun energy to whatever equipment, the electronics circuit was made using electrical and electronics devices bought in México. Experimental results were done with 20 W. PV modules manufactured in CINVESTAV Mexico.
Evaluation of Substrate Technologies under High Temperature Cycling

This paper presents experimental results on the influence of different structures of ceramic substrates under very high temperature cycles. Test vehicles have been realised by APT Europe. Especially, DCB metallization thickness effects are pointed out in the ceramic fracture and solder delamination due to the high temperature variations. Special substrates, like DAB and Si3N4, are also investigated and compared to classical DCBs. Finally, the paper compares the different technologies under high temperature cycles, in order to identify the main factors that could increase the lifetime expectancy of power modules in such harsh environments.
Full Genome Sequencing and Genetic Characterization of Eubenangee Viruses Identify Pata Virus as a Distinct Species within the Genus Orbivirus

Eubenangee virus has previously been identified as the cause of Tammar sudden death syndrome (TSDS). Eubenangee virus (EUBV), Tilligery virus (TILV), Pata virus (PATAV) and Ngoupe virus (NGOV) are currently all classified within the Eubenangee virus species of the genus Orbivirus, family Reoviridae. Full genome sequencing confirmed that EUBV and TILV (both of which are from Australia) show high levels of aa sequence identity (>92%) in the conserved polymerase VP1(Pol), sub-core VP3(T2) and outer core VP7(T13) proteins, and are therefore appropriately classified within the same virus species. However, they show much lower amino acid (aa) identity levels in their larger outer-capsid protein VP2 (<53%), consistent with membership of two different serotypes - EUBV-1 and EUBV-2 (respectively). In contrast PATAV showed significantly lower levels of aa sequence identity with either EUBV or TILV (with <71% in VP1(Pol) and VP3(T2), and <57% aa identity in VP7(T13)) consistent with membership of a distinct virus species. A proposal has therefore been sent to the Reoviridae Study Group of ICTV to recognise ‘Pata virus’ as a new Orbivirus species, with the PATAV isolate as serotype 1 (PATAV-1). Amongst the other orbiviruses, PATAV shows closest relationships to Epizootic Haemorrhagic Disease virus (EHDV), with 80.7%, 72.4% and 66.9% aa identity in VP3(T2), VP1(Pol), and VP7(T13) respectively. Although Ngoupe virus was not available for these studies, like PATAV it was isolated in Central Africa, and therefore seems likely to also belong to the new species, possibly as a distinct ‘type’. The data presented will facilitate diagnostic assay design and the identification of additional isolates of these viruses.
Robust Runtime Optimization of Data Transfer in Queries over Web Services

Self-managing solutions have recently attracted a lot of interest from the database community. The need for self-* properties is more evident in distributed applications comprising heterogeneous and autonomous databases and functionality providers. Such resources are typically exposed as Web Services (WSs), which encapsulate remote DBMSs and functions called from within database queries. In this setting, database queries are over WSs, and the data transfer cost becomes the main bottleneck. To reduce this cost, data is shipped to and from WSs in chunks; however the optimum chunk size is volatile, depending on both the resources' runtime properties and the query. In this paper we propose a robust control theoretical solution to the problem of optimizing the data transfer in queries over WSs, by continuously tuning at runtime the block size and thus tracking the optimum point. Also, we develop online system identification mechanisms that are capable of estimating the optimum block size analytically. Both contributions are evaluated via both empirical experimentation in a real environment and simulations, and have been proved to be more effective and efficient than static solutions.