Miracle-dz/UniFAR-FTUs huggingface dataset:
Caractérisation du récepteur de l'insuline par spectrométrie de masse

Insulin binding to its cognate receptor at the cell surface triggers autophosphorylation of the B-subunit on regulatory tyrosine residues and rapid intemalization of complexes into the endosomal apparatus. Using highly purified hepatic endosomes, we characterized, by mass spectrometry, IR immunocomplexes prepared at the peak time of intemalization (2 min post-insulin injection). Morco-phosphorylated tyrosines residues located within the catalytic loop (Y1146,Y1150,Y1151) and the C-terminal domain (Y 1316, Y1322) of the B-subunit were identified. Among the co-immunoprecipitated proteins, we identified unambiguously ATIC (5-aminoimidazole-4-carboxamide ribonucleotide formyltransferase/IMP cyclohydrolase), an enzyme involved in the two last steps of de novo purine biosynthesis as well as the molecular adaptors grb7/grbl4, coatomer subunits and VPS-1 like proteins. We confirmed spécifie association of ATIC with the IR in vitro and in vivo. Therefore, characterization of endosomal IR complexes by mass spectrometry reveals new features and interactors involved in both IR kinase activation/signalling and endocytic trafficking in vivo.
The Correlates of Violence against Women in India: Findings from the Recent National Demographic Health Survey

Violence against women is a serious human rights abuse and public health issue in India. The Intimate Partner violence (IPV) cases among Indian couples are very high. This article aims to find the determinant of Intimate Partner Violence in India. The data are drawn from the fourth round of National Family Health Survey (NFHS-IV). According to Demographic Health Survey guidelines, IPV is measured using 13-item questions in women questionnaire. This section is analysed to fulfil the objective of the study. Bivariate and multivariate logistic regression is used to find out the unadjusted and adjusted odds ratio. The analysis is carried out using STATA version 14. The prevalence of IPV, emotional violence (EV), physical violence (PV) and sexual violence (SV) is 33.15, 13.23, 29.68 and 6.60 respectively. The likelihood of IPV increases with the increase in marital duration. All kind of violence is less likely to occur in rural areas (IPV: AOR=0.86, p<0.01; EV: AOR=0.81, p<0.01; PV: AOR=0.85, p<0.01; & SV: AOR=0.92, p=0.09). Hindu women are more likely to face all kind of violence than women in other religion. Alcohol consumption is one of the predominant factors for IPV in India (AOR=3.08, CI=2.96-3.21, p<0.01). From this study, we find that marital duration, the age difference of spouses, number of children, place of residence, caste, religion, and education of couple, alcohol consumption and wealth index are some of the important predictors of IPV in India.
Blue-Green algae agglomeration in surface water:a microbiotope of high bacterial activity

European Marine Biology Symposium. 15 1981 Abstract Mass accumulations of filamentous blue-green algae in surface waters of the Baltic Sea cause patches of high bacterial productivity within water masses of low microbial activity. Since these algae are apparently not grazed by zooplankton organisms, their degradation in the surface water layer is mainly due to associated bacteria. The network of algae filaments attracts a wide range of small organisms including rotifers, crustaceans, ciliates and flagellates, resulting in a microbiotope of considerable complexity. The succession of bacterial colonization of Nodularia spumigena and the activity state of the community was investigated by the INT-staining technique and by microautoradiography. The excretion rates of photosynthesized matter by the bluegreen algae agglomerates indicate a high rate of transfer of substrate towards the adherent heterotrophic bacteria. The fate and the final involvement of the agglomerates in the food chain are discussed.
Dumps

This chapter considers the work and life of William S. Burroughs, and proposes that Naked Lunch (1959) constructs something like a nightmare image of Latourian sociality: a collective of human subjects and nonhuman objects governed by the logic of putrefaction, or “translation” run amok. The novel not only visualizes a welter of “literal garbage” decomposing in a dumpsite, which Burroughs names the “junk world,” but also assumes the formal structure of a landfill, a site governed by the logic of putrefaction. In other words, rather than simply representing the dump, Burroughs enacts a mimetic relation to it, thereby converting spatial into literary form.
Anaerobic Digestion of Slaughterhouse Wastewater: CO2 Capture of Biogas Using Chlorella vulgaris

Biogas quality from anaerobic digester influenced the combustion of biogas. A high percentage of CO2 in biogas indicates the low quality of biogas. Abatement of CO2 using microalgae, such as Chlorella vulgaris could enhance the quality of biogas. The aim of this research was to observe the ability of C. vulgaris on CO2 removal from slaughterhouse wastewater biogas. In this research, two anaerobic digesters were provided with the different condition of biogas collector bag. The first digester was combined with only biogas collector bag, while another digester was combined with C. Vulgaris. Slaughterhouse wastewater volume in each digester was 3.5 L. Observation time was 15 days and the samples were collected for every 5 days. The result showed that anaerobic digester was able to remove 63% of COD. Biogas composition of slaughterhouse wastewater after incubation for 15 days was 52.70% of air, 46.85% of CH4and 0.45% of CO2. C. Vulgaris enhanced CO2 removal from biogas up to 7%. The density of C. vulgaris decreased to 51 cell/mL. The biogas composition was probably influenced by the density of C. vulgaris.
Surface Modification of Fe3O4 as Magnetic Adsorbents for Recovery of Precious Metals

Magnetic nanoparticles such as magnetite have been studied intensively for their unique properties that are susceptible to a magnetic field, ready to coat with silica and able to modify with a variety of functional groups. The magnetite-silica core-shell system offers flexibility for extensive modification. The magnetic core is also important in the separation by the use of a magnetic field. The shell, meanwhile, is needed for protection of the magnetic core and further modification. Functional groups at the surface shell are critical in the reaction with target precious metal ions during application. In this contribution, we will have a comprehensive look at the preparation, characterization, and use of the magnetite core-shell modified with functional groups as a magnetic adsorbent. After adsorption, the materials together with the ions can be recovered by the use of magnet before further separation and purification.
ADUBAÇÃO DE COBERTURA COM ENXOFRE NA CULTURA DA RÚCULA

O enxofre apresenta grande importância para o desenvolvimento das culturas, sendo normalmente constatado o aumento da produtividade com o fornecimento deste nutriente em cobertura, entretanto, ha poucos estudos que relatam o efeito da adubacao com enxofre na cultura da rucula. Portanto, o objetivo foi de avaliar o desenvolvimento da cultura da rucula submetida a adubacao com enxofre aplicado em cobertura. O delineamento experimental utilizado foi o de blocos ao acaso, com cinco tratamentos (0; 20; 40; 60; 80 mg de S planta -1 ) e quatro repeticoes, cada parcela foi constituida por 5 vasos, com quatro plantas cada. Durante o desenvolvimento das plantas foi avaliada a intensidade de cor verde das folhas aos 16, 23 e 30 dias apos a emergencia. Aos 30 dias apos a emergencia (final do ciclo) foram avaliados o numero de folhas, altura, massa seca da parte aerea, massa seca da raiz e massa seca total. A adubacao com enxofre em cobertura aumenta a intensidade de cor verde das folhas de rucula.
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation

Temporal knowledge graph (TKG) representation learning embeds relations and entities into a continuous low-dimensional vector space by incorporating temporal information. Latest studies mainly aim at learning entity representations by modeling entity interactions from the neighbor structure of the graph. However, the interactions of relations from the neighbor structure of the graph are neglected, which are also of significance for learning informative representations. In addition, there still lacks an effective historical relation encoder to model the multi-range temporal dependencies. In this article, we propose a dual graph convolution network based TKG representation learning method using historical relations (DACHA). Specifically, we first construct the primal graph according to historical relations, as well as the edge graph by regarding historical relations as nodes. Then, we employ the dual graph convolution network to capture the interactions of both entities and historical relations from the neighbor structure of the graph. In addition, the temporal self-attentive historical relation encoder is proposed to explicitly model both local and global temporal dependencies. Extensive experiments on two event based TKG datasets demonstrate that DACHA achieves the state-of-the-art results.
Examining Evaluativity in Legal Discourse: A Comparative Corpus-Linguistic Study of Thick Concepts

How evaluative are legal texts? Do legal scholars and jurists speak a more descriptive or perhaps a more evaluative language? In this paper, we present the results of a corpus study in which we examined the use of evaluative language in both the legal domain as well as public discourse. For this purpose, we created two corpora. Our legal professional corpus is based on court opinions from the U.S. Courts of Appeals. We compared this professional corpus to a public corpus, which is based on blog discussions on the internet forum Reddit. While many linguistic phenomena can give insights into evaluativity, we investigated the use of a wide selection of evaluative adjectives (more specifically, thick adjectives) to gain a more comprehensive picture of the degree of evaluativity in the legal domain. Our analysis shows that legal professionals use thick terms less evaluatively than laypeople, which suggests that legal texts are less evaluative than ordinary discussions. This result, more generally, supports the philosophical idea that thick concepts may vary in their evaluative intensity.
The Effect of Electrochemical Migration of Pb-free Sn-3.0Ag-0.5Cu Solder Reinforced by NiO Nanoparticles

As electronic devices continue to become lighter and thinner, they require much smaller solder joints and fine-pitch interconnections for microelectronic packaging. Pb-free solders incorporated with nano-sized particles have been identified as potential Pb-free nanocomposite solders that could provide higher microstructure stability and better mechanical properties than the conventional solders. The present study investigates the effects of NiO addition on the mechanical properties and microstructure of the Sn-3.0Ag-0.5Cu (SAC305) solder alloy. In this study, three different solder alloys were prepared by reflow soldering. Sn-3.0Ag-0.5Cu (SAC 305) solder alloys were doped with different percentage of NiO (nickel oxide) nanoparticles content; i.e. 0.01 wt%, 0.05 wt%, and 0.15 wt% in producing nanocomposite solder paste. Morphology refinement of SAC305-NiO nanocomposite solder contributed to the enhancement of mechanical properties in the field of microelectronic industries. ECM (electrochemical migration) of SAC-NiO nanocomposites solder pastes was measured using a WDT (water drop test). Effects of electrochemical migration of its surface morphology were investigated using OM (optical microscopy).
Coriandrum Sativum seeds as a green low-cost biosorbent for methylene blue dye removal from aqueous solution: spectroscopic, kinetic and thermodynamic studies

Coriandrum sativum seeds (CSS) were investigated as a new eco-friendly and economic biosorbent for the removal of methylene blue (MB) dye from synthetic solutions. First, the spectroscopic analyses were effectuated using FTIR and SEM to confirm the possibility of CSS to remove MB dye from aqueous solutions. The study of the influence of different parameters, such as contact time, CSS mass, solution pH, MB concentration, and temperature was realized and proved the rapid and efficient power adopted by CSS as a removal of the studied dye. Also, the regeneration study was effectuated for four cycles with excellent adsorption rates. The modeling studies revealed that the studied process obeys the pseudo-second-order model and Langmuir isotherm model. The adsorption amount was found to be 107.53 mg/g. Finally, the determination of thermodynamic parameters indicated the exothermic and spontaneous type of the removal process of MB onto CSS.
Integrating PrEP into Family Planning Services at Title X Clinics in the Southeastern US – Phase 1 (ATN 155) (Preprint)

BACKGROUND Black adolescent and young adult women (AYAW) in the Southern United States (US) are disproportionately affected by HIV. Pre-exposure prophylaxis (PrEP) is an effective, scalable, individual-controlled HIV prevention strategy that is grossly underutilized among women of all ages and requires innovative delivery approaches to optimize its benefit. Anchoring PrEP delivery to health services that AYAW already trust, access routinely, and deem useful for their sexual health offers an ideal opportunity to reach women at risk for HIV and to enhance their PrEP uptake and adherence. These services include those of family planning (FP) providers in high HIV incidence settings. However, PrEP has not been widely integrated into FP services, including Title X-funded FP clinics that provide safety net sources of care for AYAW. To overcome potential implementation challenges for AYAW, Title X clinics in the Southern US are uniquely positioned to be focal sites for conceptually-informed and thoroughly-evaluated PrEP implementation science studies. OBJECTIVE Assess inner and outer context factors (barriers and facilitators) that may influence the adoption of PrEP prescription and treatment services in Title X clinics serving AYAW in the Southern US. METHODS Phase 1 of Planning4PrEP is an explanatory sequential, mixed methods study consisting of a geographically-targeted online survey of Title X clinic administrators and providers in the Southern US, followed by key informant interviews (KIIs) among a purposively-selected subset of responders to more comprehensively access inner and outer context factors that may influence adoption and implementation of PrEP in Title X FP clinics in the South. RESULTS Phase 1 of Planning4PrEP research activities began in October 2017and are ongoing. To date, survey and KII administration is near completion with quantitative and qualitative data analysis scheduled to begin soon after data collection completion CONCLUSIONS This study seeks to assess inner and outer contextual factors (barriers and facilitators) that may influence the adoption and integration of PrEP prescription and treatment services in Title X clinics serving AYAW in the Southern US.
A package for the automated classification of images containing supernova light echoes

Context. The so-called"light echoes"of supernovae - the apparent motion of outburst-illuminated interstellar dust - can be detected in astronomical difference images; however, light echoes are extremely rare which makes manual detection an arduous task. Surveys for centuries-old supernova light echoes can involve hundreds of pointings of wide-field imagers wherein the subimages from each CCD amplifier require examination. Aims. We introduce ALED, a Python package that implements (i) a capsule network trained to automatically identify images with a high probability of containing at least one supernova light echo, and (ii) routing path visualization to localize light echoes and/or light echo-like features in the identified images. Methods. We compare the performance of the capsule network implemented in ALED (ALED-m) to several capsule and convolutional neural networks of different architectures. We also apply ALED to a large catalogue of astronomical difference images and manually inspect candidate light echo images for human verification. Results. ALED-m, was found to achieve 90% classification accuracy on the test set, and to precisely localize the identified light echoes via routing path visualization. From a set of 13,000+ astronomical images, ALED identified a set of light echoes that had been overlooked in manual classification. ALED is available via github.com/LightEchoDetection/ALED.
Fullerene-Tailored Graphene Oxide Interlayer Spacing for Energy-Efficient Water Desalination

Graphene oxide (GO) has attracted significant research interest because of its unique properties in ion sieving and water desalination. Nevertheless, it is a great challenge to tune and fix the interlayer spacing of GO sheets at the range of 1 nm. Herein, we report a strategy adjusting the interlayer spacing of GO laminates by grafting C60 molecules on the surface of GO sheets via lithiation reaction, and a fixed interlayer spacing of 1.25 nm can be achieved. In order to increase the effective area for water desalination, cross-sectional filtration has been applied by encapsulating GO/C60 membranes via epoxy. The as-prepared GO/C60 membrane obtains a high water flux up to 10.85 L h–1 m–2 bar–1. Meanwhile, subjecting to the electrostatic exclusion and steric effect, the rejection rate for NaCl can reach 89.66%, which is sufficient to purify brackish water into drinkable water. In addition, this GO/C60 membrane requires low pressure (<5 bar) for operation and exhibits long-term stability, which provides a g.
High thermoelectric performance of single phase p-type cerium-filled skutterudites by dislocation engineering

Filled skutterudites, possessing a high power factor and good mechanical properties, have attracted intensive attention for the intermediate-temperature power generation. Since n-type filled skutterudites can achieve a high peak ZT of over 1.5, it is imperative to develop their high-performance p-type counterparts for real applications. In this work, single phase p-type cerium (Ce)-filled skutterudites with dense dislocation arrays were first fabricated by the liquid phase compaction method. It was demonstrated that the dense dislocation arrays significantly reduced the lattice thermal conductivity via strain scattering. Simultaneously, there was almost no influence on the normal carrier transport process. As a result, a high peak ZT value of over 1.1 at 723 K has been obtained for the liquid phase compacted Ce0.8Fe3CoSb12 alloy, which is the record-high value among the single element-filled p-type skutterudites.
Infection Control Practices at the Dental Clinics in Jeddah, Saudi Arabia

Purpose The aims of this study were to determine the rate of compliance of infection control and estimate the incidence of COVID-19 in dental clinics in Jeddah, Saudi Arabia. Materials and Methods This is an ecological correlational study of randomly sampled dental clinics in the city of Jeddah. The 32-question survey used in the study was constructed based on the infection control guidelines/protocols during the COVID-19 pandemic released by the ADA, CDC, and SMOH. A sample of clinics from a dental clinic list in Jeddah city, using a simple random technique. Results Fifty-three dental clinics consented to participate in our study, while ten refused. Most of the dental clinics checked their patients’ temperature (30.2%) and strictly required them to wear a surgical mask before entering the clinic (58.5%). Glove, gown, and face mask were the most common methods of infection control used during all dental procedures (98.1%, 96.2%, and 94.3%, respectively). Moreover, the incidence of COVID-19 was the highest among receptions/security (18.70%), followed by nurses (14.3%) and dentists (11.79%). Conclusion As the incidence of COVID-19 among dental staff will continue to increase in the future, it is highly recommended that infection control guidelines are followed in all dental clinics.
Spectrophotometric Method for the Estimation of Ceftriaxone in Pure Form and Pharmaceuticals

Ceftriaxone sodium were one of the widely antibacterial drugs used. Azo dye derivatization of diazonium salt that formed via the reaction between ceftriaxone with hydrochloric acid and sodium nitrite was developed for the on-research drug analysis then coupling with each one 2,5-dimethylphenol (2,5-DMP) and 4-tertbutylphenol (4-TBP) respectively in the alkaline media. The developed diazonium coupling methods include an optimization study. The results show a limit of detection and limit of quantification 0.482, 0.284 µg/mL, and 1.607, 0.945 µg/mL using 2,5-DMP and 4-TBP reagents respectively. Moreover, the recovery % obtained was 100.89%, and 103.37% at linear concentration range 3.0 – 50, and 10 – 30 µg/mL, with molar absorptivity of 4.377×103, 7.446×103 L. mol-1. cm-1 using 2,5-DMP and 4-TBP reagents respectively. An acceptable accuracy represented by the relative standard deviation (RSD%) was achieved of a 0.46 and 0.37 for 2,5-DMP and 4-TBP respectively. The proposed method was successfully used for the determination of ceftriaxone sodium in pure and in pharmaceuticals.
Validation of OCO-2 error analysis using simulated retrievals

Abstract. Characterization of errors and sensitivity in remotely sensed observations of greenhouse gases is necessary for their use in estimating regional-scale fluxes. We analyze 15 orbits of the simulated Orbiting Carbon Observatory-2 (OCO-2) with the Atmospheric Carbon Observations from Space (ACOS) retrieval, which utilizes an optimal estimation approach, to compare predicted versus actual errors in the retrieved CO2 state. We find that the nonlinearity in the retrieval system results in XCO2 errors of ∼0.9 ppm. The predicted measurement error (resulting from radiance measurement error), about 0.2 ppm, is accurate, and an upper bound on the smoothing error (resulting from imperfect sensitivity) is not more than 0.3 ppm greater than predicted. However, the predicted XCO2 interferent error (resulting from jointly retrieved parameters) is a factor of 4 larger than predicted. This results from some interferent parameter errors that are larger than predicted, as well as some interferent parameter errors that are more strongly correlated with XCO2 error than predicted by linear error estimation. Variations in the magnitude of CO2 Jacobians at different retrieved states, which vary similarly for the upper and lower partial columns, could explain the higher interferent errors. A related finding is that the error correlation within the CO2 profiles is less negative than predicted and that reducing the magnitude of the negative correlation between the upper and lower partial columns from −0.9 to −0.5 results in agreement between the predicted and actual XCO2 error. We additionally study how the postprocessing bias correction affects errors. The bias-corrected results found in the operational OCO-2 Lite product consist of linear modification of XCO2 based on specific retrieved values, such as the CO2 grad del (δ∇CO2), (“grad del” is a measure of the change in the profile shape versus the prior) and dP (the retrieved surface pressure minus the prior). We find similar linear relationships between XCO2 error and dP or δ∇CO2 but see a very complex pattern of errors throughout the entire state vector. Possibilities for mitigating biases are proposed, though additional study is needed.
A Fast Iterative Method Python package

fim-python implements the Fast Iterative Method (FIM), proposed in (Fu et al., 2013), purely in Python to solve the anisotropic eikonal equation by finding its unique viscosity solution. In this scenario, we compute φ on tetrahedral/triangular meshes or line networks for a given D, x0 and g. The method is implemented both on the CPU using numba and numpy, as well as the GPU with the help of cupy (depends on CUDA). The library is meant to be easily and rapidly used for repeated evaluations on a mesh.