Miracle-dz/UniFAR-FTUs huggingface dataset:
Contrasted Effects of Inhibitors of Cytochromeb 6 f Complex on State Transitions inChlamydomonas reinhardtii

We have investigated the relationship between the occupancy of the Qo site in the cytochromeb 6 f complex and the activation of the LHCII protein kinase that controls state transitions. To this aim, fluorescence emission and LHCII phosphorylation patterns were studied in whole cells of Chlamydomonas reinhardtii treated with different plastoquinone analogues. The analysis of fluorescence induction at room temperature indicates that stigmatellin consistently prevented transition to State 2, whereas 2,5-dibromo-3-methyl-6-isopropyl-p-benzoquinone behaved as an inhibitor of state transitions only after the cells were preilluminated. The same effects were observed on the phosphorylation patterns of the LHCII proteins, while subunit V of the cytochromeb 6 f complex showed a different behavior. These findings are discussed on the basis of a dynamic structural model of cytochrome b 6 fthat relates the activation of the LHCII kinase to the occupancy of the Qo site and the movement of the Rieske protein.
A Concise Method of Pole Placement to Stabilize the Linear Time Invariant MIMO System

Stabilization of linear time-invariant multi-inputmulti-output (LTI-MIMO) systems is presented distinctively and efficiently in this paper. The idea is to decouple the system state matrix depending on different inputs and outputs using the special canonical transformation proposed. Due to the decoupled form of the observer based controller system, it’s possible to use separate transformation for observer and controller design. Since the decoupled state matrix resembles the single-input-single-output (SISO) case, the generalized equation for the system is first obtained, and then it’s extended to the MIMO system. The computational complexity in getting the controller and observer gain matrix coefficients are further reduced due to the special form of gain matrices taken.
Multiorbital charge-density wave excitations and concomitant phonon anomalies in Bi2Sr2LaCuO6+δ

Significance Charge-density waves (CDWs) are a ubiquitous form of electron density modulation in cuprate superconductors. Unveiling the nature of quasistatic CDWs and their dynamical excitations is crucial for understanding their origin––similar to the study of antiferromagnetism in cuprates. However, dynamical CDW excitations remain largely unexplored due to the limited availability of suitable experimental probes. Here, using resonant inelastic X-ray scattering, we observe dynamical CDW excitations in Bi2Sr2LaCuO6+δ (Bi2201) superconductors through its interference with the lattice. The distinct anomalies of the bond-buckling and the bond-stretching phonons allow us to draw a clear picture of funnel-shaped dynamical CDW excitations in Bi2201. Our results of the interplay between CDWs and the phonon anomalies shed light on the nature of CDWs in cuprates. Charge-density waves (CDWs) are ubiquitous in underdoped cuprate superconductors. As a modulation of the valence electron density, CDWs in hole-doped cuprates possess both Cu-3d and O-2p orbital character owing to the strong hybridization of these orbitals near the Fermi level. Here, we investigate underdoped Bi2Sr1.4La0. 6CuO6+δ using resonant inelastic X-ray scattering (RIXS) and find that a short-range CDW exists at both Cu and O sublattices in the copper-oxide (CuO2) planes with a comparable periodicity and correlation length. Furthermore, we uncover bond-stretching and bond-buckling phonon anomalies concomitant to the CDWs. Comparing to slightly overdoped Bi2Sr1.8La0. 2CuO6+δ, where neither CDWs nor phonon anomalies appear, we highlight that a sharp intensity anomaly is induced in the proximity of the CDW wavevector (QCDW) for the bond-buckling phonon, in concert with the diffused intensity enhancement of the bond-stretching phonon at wavevectors much greater than QCDW. Our results provide a comprehensive picture of the quasistatic CDWs, their dispersive excitations, and associated electron-phonon anomalies, which are key for understanding the competing electronic instabilities in cuprates.
Cacería de subsistencia de mamíferos en el sector oriental de la Reserva de Biósfera El Tuparro, Vichada (Colombia)

La caceria de subsistencia ha sido una actividad de vital importancia para las comunidades indigenas como fuente de proteina y venta. Se caracterizo la caceria de subsistencia realizada por comunidades de las etnias Piaroa y Curripaco presentes en la Reserva de Biosfera el Tuparro, por medio de registros de caza durante nueve meses de estudio. Se encontro que no hay diferencias significativas en cuanto a especies y numero de individuos cazados entre las dos etnias, siendo Artiodactyla y Rodentia los ordenes con mayor aporte respecto al numero de individuos, biomasa y riqueza de especies, lo cual fue similar a otros estudios realizados en el Neotropico. Los Piaroa cazan mas frecuentemente cuando los estudiantes llegan de la ciudad al resguardo, mientras que los Curripaco lo hacen para las reuniones evangelicas. El arte de caza mas usado por las comunidades de las dos etnias fue la escopeta. Las etnias estudiadas tienen sus zonas de caza en la Reserva de Biosfera El Tuparro, y en ellas, los Curripaco estan aprovechando directamente los recursos de su zona nucleo del Parque Nacional Natural El Tuparro.
A Role for the Fas/FasL System in Modulating Genetic Susceptibility to T-Cell Lymphoblastic Lymphomas

The Fas/FasL system mediates induced apoptosis of immature thymocytes and peripheral T lymphocytes, but little is known about its implication in genetic susceptibility to T-cell malignancies. In this article, we report that the expression of FasL increases early in all mice after γ-radiation treatments, maintaining such high levels for a long time in mice that resisted tumor induction. However, its expression is practically absent in T-cell lymphoblastic lymphomas. Interestingly, there exist significant differences in the level of expression between two mice strains exhibiting extremely distinct susceptibilities that can be attributed to promoter functional polymorphisms. In addition, several functional nucleotide changes in the coding sequences of both Fas and FasL genes significantly affect their biological activity. These results lead us to propose that germ-line functional polymorphisms affecting either the levels of expression or the biological activity of both Fas and FasL genes could be contributing to the genetic risk to develop T-cell lymphoblastic lymphomas and support the use of radiotherapy as an adequate procedure to choose in the treatment of T-cell malignancies. [Cancer Res 2007;67(11):5107–16]
Feature Selection in Pre-Diagnosis Heart Coronary Artery Disease Detection: A heuristic approach for feature selection based on Information Gain Ratio and Gini Index

Cardiovascular disease is one of the most common causes of mortality in the world. Among the different types of this disease, the coronary artery is the most important, which the correct and timely diagnosis of which is vital. Diagnostic and treatment methods of this disease have many side effects and costs. The best and most accurate diagnostic method here is angiography. Researchers seek to find economical and high-accuracy methods for this purpose. The disease-related features and different data mining techniques are described to increase the accuracy of the diagnosis through one dataset of essential and useful features. Data are collected from 303 suspected cardiovascular patients in Shahid Rajaee Hospital, Tehran. Among the samples, 87 are healthy, and 216 are sick. The features are selected through their optimal subsets of performance, speed of diagnosis, and precision in the first step to determine the severity of coronary artery disease (CAD). This feature selection can predict and promote a learning model. Then the optimal machine learning models are applied to analyze and predict CAD. The accuracy of 99.67% is found in this diagnosis, indicating the highest obtained accuracy in this field. The left anterior descending (LAD), the left circumflex (LCX), and the right coronary artery (RCA) features are diagnosed with high accuracy by using those models. It seems these three features define the CAD and are dependent on angiography. If they are eliminated for the prediagnosis situation, the accuracy of CAD will be between 83% to 86% for the new reduced subset of features proposed concerning legible performance reduction.
Commercial-off-the-shelf (COTS) solution for Robot Sensing and Control

In this work we investigate the possibility of using an Android smartphone as the standalone sensor pack cum processor for a mobile robot. In addition to sensors and processing ability the smartphone has various communication infrastructure and a modern operating system. We also discuss the architecture of minimal hardware ground mobile robot using android smartphone and the approaches to robot software development using android smartphone as primary controller. A discussion of existing libraries and tools that can be leveraged to enable quick development is discussed. A trajectory tracking experiment is presented to demonstrate the working of the presented architecture.
Effet anti-tumoral de l'acide docosahexaénoïque : implication des microARNs et du TNFalpha

L’acide docosahexaenoique (DHA) est un acide gras polyinsature omega-3 avec des proprietes anti-inflammatoires et anti-tumorales. L’effet du DHA dans le cadre du cancer colorectal pourrait etre la consequence d'une action anti-proliferative directe sur les cellules cancereuses et de sa capacite a reduire l’inflammation propice au developpement de la tumeur. Le Tumor Necrosis Factor-alpha (TNFa) est une cytokine pro-inflammatoire et presente des effets paradoxaux. En fonction du contexte cellulaire, le TNFa activera une voie de signalisation dependante de la kinase RIP1 engageant la cellule cancereuse vers la proliferation ou la mort cellulaire. Notre objectif fut d'evaluer le role du TNFa dans l'effet anti-proliferatif du DHA sur des cellules cancereuses coliques et de preciser les mecanismes moleculaires regulant l'expression de cette cytokine. Le DHA induit l'expression de TNFa et sa secretion par les cellules cancereuses. Nous avons montre que des anticorps neutralisant l'action autocrine du TNFa sur les cellules cancereuses prevenait l'effet pro-apoptotique du DHA et abolissait l'effet anti-cancereux observe dans des souris nude avec tumeurs HCT-116 sous regime DHA. L’induction de l'expression de TNFa par le DHA prend son origine a un niveau post-transcriptionnel par la repression du microARN miR-21 perdant sa capacite a degrader l'ARNm TNFa. Le DHA par l'activation des kinases AMPKa et RIP1 declenche la translocation nucleaire du facteur de transcription FOXO3a se fixant sur le promoteur miR-21 et diminuant l’expression de ce microARN. Nos travaux mettent en evidence un nouveau mecanisme moleculaire soutenant l'action anti-tumorale du DHA.
ENVIRONMENTAL CONSTRAINTS AND COOPERATIVE BREEDING IN THE AZURE-WINGED MAGPIE

Abstract We studied the Azure-winged Magpie's (Cyanopica cyanus) breeding performance and cooperative breeding system in two consecutive breeding seasons with varying climate conditions. We found a strong year effect on most breeding parameters. Helpers were more frequent in the year with more severe weather conditions, and helper presence significantly increased provisioning rates and breeding success of the breeders. Some of the helpers were adults that had failed on a previous breeding attempt, while others were offspring of the breeding pair from the previous season. We suggest that helping in this species is a “best-of-a-bad-job” strategy, in which individuals facing a breeding attempt with low prospects of success, or with high costs associated, assist others. Imposiciones Ambientales y Cría Cooperativa en Cyanopica cyanus Resumen. Estudiamos el éxito reproductivo y el sistema de cría cooperativa en Cyanopica cyanus en dos períodos reproductivos consecutivos con condiciones climáticas muy diferentes. Encontramos un fuerte efecto del año en la mayoría de los parámetros reproductivos. Los ayudantes fueron más frecuentes durante el año con peores condiciones climatológicas, y su presencia aumentó significativamente las tasas de ceba y el éxito reproductivo de las parejas. Algunos de los ayudantes eran adultos que habían fracasado en un intento de reproducción anterior, mientras que otros eran hijos de la pareja reproductora nacidos el año anterior. Sugerimos que el comportamiento de ayudar en esta especie representa una estrategia de “dentro de lo malo, lo mejor”, en la cual algunos individuos en lugar de realizar un intento de reproducción con pocas probabilidades de éxito o muy costoso, se dedican a ayudar a otros.
Phosphorylated 11S globulins in sunflower seeds

Abstract Helianthinins are storage proteins present in Helianthus annuus seeds, belonging to the 11S globulin family. Here we describe that a fraction of the helianthinins is phosphorylated. This conclusion is supported by different criteria, including identification by matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry of major protein bands revealed with a specific dye for phosphoproteins, anti-phosphoserine antibody and binding to a phosphoprotein affinity matrix. Moreover, we show that the phosphorylation status of helianthinins changes following germination.
Improved Doubly-Selective Radio Channel Tracking for Modern Wireless Systems

We present improvement to track time-variations in the doubly-selective (DS) channel for orthogonal frequency-division multiplexing (OFDM) systems. The MCE-BEM, a variant of basis expansion model (BEM) based on complex exponentials (CEs), is used to model time variations in the DS channel. In the MCE-BEM, CEs are defined by the highest Doppler frequency in the DS channel. We propose a method, based on spectral concentration of the MCE-BEM, to find the optimum highest frequency for CEs to be employed in the MCE-BEM. Simulations for 3GPP LTE-downlink confirm that the proposed modification improves the tracking accuracy, measured in mean square error (MSE), by nearly one order of magnitude at 700 km/h, and overall comparable to the state-of-the-art.
HOST SELECTION BY INSECT PARASITOIDS

Insects that are parasitic only during their immature stages are termed protelean parasites (11). The protelean parasites that attack invertebrates nearly always de­ stroy their hosts. These parasites are often described as parasitoids, a term coined by Reuter (167) to differentiate them from the typical parasites. Parasitoids include a vast number of species of the so-called parasitic Hymenoptera, the Strepsiptera, and a few of the Diptera, primarily in the family Tachinidae. Although there are a few exceptions, insect parasitoids appear as typical parasites during their early developmental stages and later destroy the host to live as free adults. Placing emphasis on the latter aspects of their feeding behavior, Flanders (62) has recently referred to such insects as carniveroids. The evolutionary strategy of the parasitoid­ host relationship is different from that of either the predator or the parasite-host relationship in that the host's future development is of importance only to the parasitoid (226). The adult female parasitoid upon emergence is often in an alien habitat and removed from a host population. She must locate a suitable host in order to propa­ gate. Salt (179) concluded that the parasitoid first seeks a suitable environment. Laing (109) divided the host selection process into environmental and host factors and believed that the parasitoid is guided to a host habitat by chemical and physical parameters. Once a female has located a host habitat, she then searches systemat­ ically. Combining the information of Salt (179) and Flanders (60), Doutt (41) divided the process that results in successful parasitism into four steps: (a) host habitat location, (b) host location, (c) host acceptance, and (d) host suitability. More recently, a fifth step, host regulation, has been added (226) in order to adequately describe the factors necessary for successful parasitism. The first three of these steps can be combined as aspects of the host selection process. The host selection process may consist of only two or three steps in one relationship or of many steps in others. Because of this, there is often some overlap in describing and
Stacking triple genes increased proanthocyanidins level in Arabidopsis thaliana

Anthocyanins and proanthocyanidins are two important plant secondary metabolites, and they contribute to plant survival and human health. In particular, proanthocyanidins could also prevent ruminants from the damage of pasture bloat. However, the improvement of proanthocyanidins content remain unsatisfied. In this study, we attempted to improve proanthocyanidins level by gene stacking in Arabidopsis thaliana as prove-of-concept. Two proanthocyanidin pathway genes from tea plant, CsF3’5’H and CsANR2, were co-expressed in the wild type and PAP1 over-expression Arabidopsis. Over-expression of CsF3’5’H slightly affected anthocyanins level in leaves and proanthocyanidins in mature seed when expressed alone in the pap1-D line. Over-expression of CsANR2 led to an obvious decrease in anthocyanins in leaves of both wild type and pap1-D lines, but increase in proanthocyanidin level in mature seeds. Over-expression of CsANR2 in pap1-D lines lead to production of DMACA-reactive soluble proanthocyanidins in leaves, but not in wild type or pap1-D lines. Anthocyanins level was decreased in the leaves of CsF3’5’H, CsANR2 and pap1-D co-expression lines, but proanthocyanidins were increased remarkably in both leaves and mature seeds in the co-expression line. It is concluded that co-expression of CsANR2 and PAP1 in Arabidopsis produce soluble proanthocyanidins in leaves, and co-expression of CsF3’5’H, CsANR2 and PAP1 lead to a significant increase in proanthocyanidins in mature seeds. The transcript levels of endogenous CHS, DFR, ANS and ANR genes in Arabidopsis were up-regulated in the triple genes co-expression line. Based on these studies, it is possible to develop new plant germplasm with improved proanthocyanidins by co-expressing of multiple genes.
EVALUATIO OF MICROBIAL AGENTS AND BIO-PRODUCTS FOR THE MANAGEMENT OF MUSTARD APHID, LIPAPHIS ERYSIMI (KALT.)

Microbial agents (Verticillium lecanii, Beauveria bassiana and Metarhizium anisopliae @ 5 g per litre of water), plant products (Tobacco, onion and neem seed kernel extract @ 5%), cow urine @ 50 litre/ha and dimethoate 30EC @ 300 g a.i/ha were evaluated against mustard aphid, Lipaphis erysimi (Kalt.) and their safety to natural enemies and pollinators. Significantly higher aphid reduction was recorded under these treatments over the control without any phytotoxic effect and found safe to natural enemies of mustard aphid and honeybee. Most favourable cost-benefit ratio was obtained under the treatment i.e. dimethoate 30 EC @ 300 g a.i/ha (1:38) followed by neem seed kernel extract @ 5% (1:18), onion extract @ 5% (1:17), cow urine @ 50 litre/ha (1:11), Beauveria bassiana @ 5 g per litre of water (1:10), Verticillium lecanii @ 5 g per litre of water (1:10), Metarhizium
Variants of Recursive Consequent Parameters Learning in Evolving Neuro-Fuzzy Systems

A wide variety of evolving (neuro-)fuzzy systems (E(N)FS) approaches have been proposed during the last 10 to 15 years in order to handle (fast and real-time) data stream mining and modeling processes by dynamically updating the rule structure and antecedents. The current denominator in the update of the consequent parameters is the usage of the recursive (fuzzily weighted) least squares estimator (R(FW)LS), as being applied in almost all E(N)FS approaches. In this paper, we propose and examine alternative variants for consequent parameter updates, namely multi-innovation RFWLS, recursive corr-entropy and especially recursive weighted total least squares. Multi-innovation RLS guarantees more stability in the update, whenever structural changes (i.e. changes in the antecedents) in the E(N)FS are performed, as the rule membership degrees on (a portion of) past samples are actualized before and properly integrated in each update step. Recursive corr-entropy addresses the problematic of outliers by down-weighing the influence of (atypically) higher errors in the parameter updates. Recursive weighted total least squares takes into account also a possible noise level in the input variables (and not solely in the target variable as in RFWLS). The approaches are compared with standard RFWLS i. ) on three data stream regression problems from practical applications, affected by (more or less significant) noise levels and one embedding a known drift, and ii. ) on a realworld time-series based forecasting problem, also affected by noise. The results based on accumulated prediction error trends over time indicate that RFWLS can be largely outperformed by the proposed alternative variants.
Technical Issues and Performance Analysis for Grid Connected PV System and Present Solar Power Scenario

The issues in the interconnection of solar photovoltaic (PV) system to main grid has been presented in this paper. A control technique for integration of solar PV system to main grid has also been presented using two d-q synchronous reference frames. The performance analysis for a grid-integrated rooftop solar PV system, along with the proposed control technique is also presented under different operating conditions. In this paper, the present scenario of solar power generation in India has also been discussed for grid integrated, stand-alone, and roof-top PV systems. The performance analysis' simulation results of grid integrated solar PV system are carried out on the MATLAB environment.
Using Machine Learning and Thematic Analysis Methods to Evaluate Mental Health Apps Based on User Reviews

The proliferation of smartphones has led to an increase in mobile health (mHealth) apps over the years. Thus, it is imperative to evaluate these apps by identifying shortcomings or barriers hampering effective delivery of intended services. In this paper, we evaluate 104 mental health apps on Google Play and App Store by performing sentiment analysis of 88125 user reviews using machine learning (ML), and then conducting thematic analysis on the reviews. We implement and compare the performance of five classifiers using supervised ML algorithms that are widely used for solving classification problems. The best performing classifier, with F1-score of 89.42%, was then used in predicting the sentiment polarity of reviews. Next, we conduct a thematic analysis of positive and negative reviews to identify themes representing various factors affecting the effectiveness of mental health apps positively and negatively. Our results uncover 21 negative themes and 29 positive themes. The negative themes fall under the following categories: <italic>usability issues</italic>, <italic>content issues, ethical issues</italic>, <italic>customer support issues</italic>, and <italic>billing issues</italic>. Some of the positive themes include <italic>aesthetically pleasing interface</italic>, <italic>app stability</italic>, <italic>customizability</italic>, <italic>high-quality content</italic>, <italic>content variation/diversity</italic>, <italic>personalized content</italic>, <italic>privacy and security</italic>, and <italic>low-subscription cost</italic>. Finally, we offer design recommendations on how the identified negative factors can be tackled to improve the effectiveness of mental health apps.