SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Saúde mental global: pistas a partir de uma experiência de cooperação entre Brasil e Itália

Resumo A partir do papel central da saúde mental para a saúde global e a complexidade da universalização de políticas de cuidado, este artigo discute aspectos da saúde mental global por meio de uma pesquisa situada entre dois países, Brasil e Itália, potenciais referências para o intercâmbio entre Norte e Sul global. Trata-se de pesquisa-ação colaborativa, sob perspectiva etnográfica, realizada por meio de uma comunidade virtual de prática composta por brasileiros e italianos interessados no cuidado comunitário em saúde mental. Os resultados são apresentados em cenas que fornecem pistas para o debate internacional em pelo menos três aspectos: a lógica do cuidado médico-centrado, a institucionalização do cuidado e a medicalização do sofrimento, e a contribuição das práticas comunitárias e dos saberes locais e não especializados. As cenas localmente situadas dão relevo a nós, críticos, globalmente compartilhados, explicitando um conjunto plural de relações que atravessam o processo de trabalho e cuidado em saúde mental. O compartilhamento de experiências e conhecimentos aponta para o que deve ser universalizado: as oportunidades de intercâmbio horizontal ao invés da produção de identidades nacionais irradiadoras de práticas e políticas universalizantes.
A study of Drosophila spinster expression and its functions during embryogenesis

During the development of the Drosophila nervous system, the programmed cell death (PCD) regulates the cell number. The spinster (spin) encodes a multiple transmembrane protein and females showed a strong rejection response against the courting males. Mutation in spin interferes with the PCD of neurons, which subsequently induce the degeneration of adult neural cells. However, this spin functions has not been investigated yet during embryogenesis. In this study we first examined spin expression in detail and its function during embryonic development. Spin was primarily expressed in surface glial cells, including subperineurial glial cells and exit glia, but not in neural cells. In spin loss-of-function mutant embryos, Glial cells increased in number, and neural overgrowth occurred. In spin gain-of-function mutant embryos, PNS was predominantly degenerated at late embryonic stages. These results indicate that spin is involved in neurogenesis via cell death during embryogenesis.
Mafic dikes at Kahel Tabelbala (Daoura, Ougarta Range, south-western Algeria): New insights into the petrology, geochemistry and mantle source characteristics

New petrological, geochemical and Sr–Nd isotopic data of the Late Triassic and Early Jurassic Kahel Tabelbala (KT) mafic dikes (south-western Algeria) offer a unique opportunity to examine the nature of their mantle sources and their geodynamic significance. An alkaline potassic Group 1 of basaltic dikes displaying relatively high MgO, TiO 2 , Cr and Ni, La/Yb N ∼ 15, coupled with low 87 Sr/ 86 Sr i ∼ 0.7037 and relatively high ɛ Nd (t) ∼ +3, indicates minor olivine and clinopyroxene fractionation and the existence of a depleted mantle OIB source. Their parental magma was generated from partial melting in the garnet–lherzolite stability field. A tholeiitic Group 2 of doleritic dikes displaying low MgO, Cr and Ni contents, La/Yb N ∼ 5, positive Ba, Sr and Pb anomalies, the absence of a negative Nb anomaly coupled with moderate 87 Sr/ 86 Sri ∼ 0.7044 and low ɛ Nd (t) ∼ 0 (BSE-like), indicates a contamination of a mantle-derived magma that experienced crystal fractionation of plagioclase and clinopyroxene. This second group, similar to the low-Ti tholeiitic basalts of the Central Atlantic Magmatic Province (CAMP), was derived from partial melting in the peridotite source within the spinel stability field. Lower Mesozoic continental rifting could have been initiated by a heterogeneous mantle plume that supplied source components beneath Daoura, in the Ougarta Range.
Signal transduction in organic materials

It is the overall aim of this project to use responsive catalysts to introduce signal transduction cascades in soft materials, enabling autonomous, programmable and amplified response of soft materials to chemical signals from their environment. 'Smart' soft materials could find many important applications ranging from personalized therapeutics to soft robotics. However, as most molecular materials are unable to communicate, or even respond to, changes in their environment, truly smart materials are still far out of reach. Signal transduction is one of the primary processes used by living cells to react to events taking place in their environment, often involving a signal triggering enzymatic activity, leading to a cellular response. Such rudimentary communication is entirely non-existent in synthetic materials. I here propose the introduction of catalysis-based signal transduction between chemical systems to enable synthetic materials to respond autonomously to events taking place in their environment. Key to achieving this objective will be the development of switchable catalysts, using signals originating from chemical events to change catalytic activity, and coupling changes in catalytic activity to responses in soft materials. In achieving these objectives, I will develop new design strategies for responsive soft materials, enabling control over material formation and response in time and space, through autonomous reaction to chemical signals. This will allow the development of new actuators, self-healing materials, sensors, therapeutics and self-regulation and self-correction of material assembly. It will also constitute an entirely new role for catalysis, as catalysis will be engaged to constitute a first step towards achieving communication between artificial chemical systems.
Free Energy Monte Carlo Simulations on a Distributed Network

AbstractWhile the use of enhanced sampling techniques and parallel computing to determine potentials of mean force is in widespread use in modern Molecular Dynamics and Monte Carlo simulation studies, there have been few methods that efficiently combine heterogeneous computer resources of varying quality and speeds in realizing a single simulation result on a distributed network. Here, we apply an algorithm based on the Monte Carlo method of Wang and Landau within a client-server framework, in which individual computing nodes report a histogram of regions of phase space visited and corresponding updates to a centralized server at regular intervals entirely asynchronously. The server combines the data and reports the sum to all nodes so that the overall free energy determination scales linearly with the total amount of resources allocated. We discuss our development of this technique and present results for molecular simulations of DNA.KeywordsComputing NodeMonte Carlo Simulation StudyFree Energy SimulationNucleoid ProteinStandard Monte Carlo SimulationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Modelling permafrost thickness in Great Britain over glacial cycles

Like other countries, the UK has opted for deep geological disposal for the long-term, safe management of higher-activity radioactive waste. However, a site and a geological environment have yet to be identified to host a geological disposal facility. In considering its long-term safety functionality, it is necessary to consider natural processes, such as permafrost development, that have the potential to alter the geological environment over the time-scale of glacial-interglacial cycles. We applied a numerical model to simulate the impact of long-term climatic variability on groundwater flow and permafrost dynamics in two contrasting geological settings in Great Britain: (i) higher strength rocks (HSR) overlain by higher permeability sandstones with a high topographic gradient (GS1); (ii) a mixed sedimentary sequence of high and low permeability rocks resting on igneous HSR with a very low topographic gradient (GS2). We evaluated the sensitivity of simulated permafrost thickness to a variety of climatic and subsurface conditions. Uncertainty in the scaling of the surface temperature time-series, 10-25 °C below present day temperature, has the largest impact on maximum permafrost thickness, PFmax, compared to other variables. However, considering plausible parameter ranges for UK settings, PFmax is up to twice as sensitive to changes in thermal conductivity and geothermal heat flux than to changes in porosity. Heat advection only affects modelled PFmax for high hydraulic conductivity rocks and if permafrost is considered to be relatively permeable. Whilst local differences in permafrost thickness of tens of meters, caused by variations in heat advection, are of minor importance over glacial-interglacial cycles, heat advection can be important in the development of taliks and the maintenance of a more active groundwater flow system. We conclude that it is likely to be important to simulate the effect of heat advection on coupled permafrost and groundwater flow systems in settings containing higher permeability lithological sequences.
Analysis of the coordinated operation of a hydroelectric power plant and a wind farm in Patagonia

In this work an analysis of the coordinated operation between the wind farm (WF) El Angelito and the hydroelectric power station Futaleufu, located in Chubut, Argentina, is carried out. With a power of 200MW, El Angelito would be the largest WF in the country. With this new generation, the elements of the system will not be able to handle both sources at nominal power. In particular, there would be a bottleneck in the line where the WF would be connected and in the transformer that connects the system to 500kV. To avoid this situation, a coordinated operation of both generation sources is evaluated. In this way, a heuristic algorithm is analyzed to minimize the wind and hydraulic discharge, maximizing the power generation under restrictions in the transmission system. Three modes of operation were analyzed. The obtained results, simulated in a year with real data, show the benefits of the coordinated operation.
Multiple Kernel Learning on Time Series Data and Social Networks for Stock Price Prediction

This paper proposes a stock price prediction model, which extracts features from time series data, news, and comments on the news, for prediction of stock price and evaluates its performance. In this research, we do not take account of text contents of news and user comments, but just consider numerical features of news and communication dynamics appeared in comments on the Web as well as historical time series data. We model the stock price movements as a function of these input features and solve it as a regression problem in a Multiple Kernel Learning regression framework. Experimental results show that our proposed method consistently outperforms other baseline methods in terms of magnitude prediction measures such as MAE, MAPE and RMSE for three companies' stocks. They specifically show that the features other than stock prices themselves improved the performance.
Research of Human Factors under Automatic ATC System

This paper is to assess the impact of ATC automation on controller workload, situation awareness, teamwork and mutual trust, and solve the relationship between human and ATC automation system collaboration. Based on experiment statistics, the method of mathematical statistics has been used to carry on overall analysis, significance analysis and correlation analysis. As a result, in the new generation ATC automation system, the overall level of controllers workload, situation awareness, teamwork and mutual trust is relatively higher than that under traditional condition, along with the increase of the controller work experience, the teamwork consciousness and situation awareness are stronger, the workload is lower, the ATC automation system of mutual trust is higher. Teamwork, workload and mutual trust have a significant positive correlation.
Cooled tubesheet inlet for abrasive fluid heat exchanger.

A heat exchanger for use with an abrasive fluid has a shell (22) with an inlet plenum (26) for inletting an abrasive fluid into the heat exchanger, a tubesheet (28) extending across the shell (22) and supporting tubes (30) disposed in flow communication with the plenum (26) and, a tube inlet guide panel configuration (32) disposed overlaying the tubesheet (28) in spaced relationship so as to form a passageway between the tube sheet (32) and the inlet guide panel configuration (32) and a cooling means supplying coolant to said passageway for cooling the tube inlet guide panel configuration (32).
Reseña de: Haug, Steffen, Une collecte d’images. Walter Benjamin à la Bibliothèque nationale

Reseña de: Haug, Steffen, Une collecte d’images. Walter Benjamin à la Bibliothèque nationale. Traducción de Jean Torrent. París, Éditions de la Maison des sciences de l’homme / Centre allemand d’histoire de l’art (DFK Paris), Colección Passages, 2022. ISBN: 978-2-7351-2854-9, 538 pp.
DEVICE FOR ACOUSTICALLY TREATING TURBINE AND COMBUSTION NOISE

A device for acoustically treating the internal structure of a turbojet nacelle primary jet pipe, the structure comprising an upstream region (Z1) and a downstream region (Z2) with respect to the direction in which air flows through the primary jet pipe, the upstream and downstream regions being positioned one on each side of a dividing wall (3) a first face of which faces the upstream direction and a second face of which faces the downstream direction, characterized in that the dividing wall (3) is a microporous wall and in that the downstream face of the dividing wall (3) is covered with a honeycomb structure (6) to attenuate high-frequency sound waves. Application to the treatment of combustion and turbine noise.
Land Reform and Rural Conflict in Agrarian Economies Evidence from 1930s Spain

We empirically analyze the effect of land reform on rural conflicts in 1930s Spain. This reform is a classical example of property rights reform in a developing economy. Despite its prominence, the effects on rural conflict have been elusive due to lack of hard data. We fill this gap by collecting a novel high-frequency, municipality-level dataset. We consider five types of conflicts: land invasions, peasant strikes, clashes, petty theft and attacks on landowner assets. By performing a differences-in differences regression analysis, we document three main results. First, the land reform did not cause a generalized increase in conflicts, except for attacks on landowners’ assets. Second, this result masks substantial heterogeneity across implementation types. We find that a top-down, political implementation caused sizeable increases in invasions, petty theft, and attacks on owners’ assets. Third, we provide suggestive evidence that the fall in income of settlers (the, a priori , beneficiaries) explains the increase in social conflict. Our results highlight the importance of the design and implementation of social policies in the context of an agrarian, developing economy.
Research on Nonlinear Prediction System of Coal and Gas Outburst in Coal Mine

Coal and gas outburst in coal mine is always an important influence factor for safety,there is also lacking effective and reliable method of prediction forecast with coal and gas outburst.This paper analyzes and studies the mechanism of coal and gas outburst,and its getting mutation constraints,then the nonlinear prediction system of coal and gas outburst is designed,which function and structure level are also pointed out;On the other hand,the nonlinear prediction algorithm is given out based on the traditional local prediction algorithm,and the simulation results show that the improved prediction algorithm has lower error and higher reliability than that of the traditional local prediction algorithm.All this work is significative for enhancing the research level of coal and gas outburst in coal mine,both in theoretical and practical applications.
Development of innovative product from “VIDEO TECHNOLOGI” Ltd.

Video TECHNOLOGIES was established in 2016 with the object of Computer Programming. Within the project, the company plans to develop a new product — an innovative “native” application for mobile devices, smart phones and tablets using ANDROID operating system. The application will be used to play video streams from Android phones and tablets. Streams can be TV channels or video streams from various events that are broadcast live over IP networks or the Internet.  The developed “native” application will be innovative with its functionality as well as the new methods and approaches used for video playback. The basis of the development will be an innovative MPEG-DASH protocol that optimises the Internet traffic of the client playing video stream on his Android device. The client device operating with the application installed on it will only select and switch to the most appropriate video resolutions for a given video stream depending on the current network load. The innovation developed is an “native” application and falls entirely within the scope of ICT and Informatics — a strand of the thematic areas of the Innovation Strategy for Smart Specialisation. After the completion of the innovative product, it will be sold to Bulgarian and foreign broadcasters, which aim to optimise their network Internet traffic and gain a competitive advantage. Within the project “VIDEO TECHNOLOGIES” will purchase the necessary fixed assets for the development of the innovative “native” application — 1 pcs. “Adaptive Media Streamer” and 1 “License of software for testing registration, authorisation and management of Android devices”. The purchased assets will be used at the business premises of the company in Sofia. In the implementation of the project “VIDEO TECHNOLOGIES” will increase its competitiveness by creating new market advantages, implementing and developing an innovative “native” application.
Cloning and expression of a codon-optimized gene encoding the influenza A virus nucleocapsid protein in Lactobacillus casei.

Lactic acid bacteria (LAB) species are envisioned as promising vehicles for the mucosal delivery of therapeutic and prophylactic molecules, including the development of oral vaccines. In this study, we report on the expression of a synthetic nucleocapsid (NP) gene of influenza A virus in Lactobacillus casei. The NP gene was re-designed based on the tRNA pool and the codon usage preference of L. casei BL23. The codon-optimized NP gene was then cloned and expressed in L. casei RCEID02 under the control of a constitutive promoter, that of the lactate dehydrogenase (ldh) gene. The synthetic NP gene was further expressed in L. casei EM116 under the control of an inducible promoter, that of the structural gene of nisin (nisA) from Lactococcus lactis. Based on Western blot analysis, the specific protein band of NP, with a molecular mass of 56.0 kDa, was clearly detected in both expression systems. Thus, our study demonstrates the success of expressing a codon-optimized influenza A viral gene in L. casei. The suitability of the recombinant LAB strains for immunization purposes is currently under evaluation.
Probability of freezing in the freeze-avoiding beetle larvae Cucujus clavipes puniceus (Coleoptera: Cucujidae) from interior Alaska

Freeze-avoiding insects must resist freezing or die. A suite of adaptations to low temperatures, including the production of antifreeze proteins, colligative antifreezes (polyols), and dehydration allows most individuals to prevent freezing below the lowest ambient temperatures experienced in situ; however, there can be a wide variance in the minimum temperatures that individuals of freeze-avoiding species reach before freezing. We used logistic regression to explore factors that affect this variance and to estimate the probability of freezing in larvae of the freeze-avoiding beetle Cucujus clavipes puniceus. We hypothesized that water content ≤0.5 mg mg(-1) dry mass would lead to deep supercooling (avoidance of freezing below -58°C). We found a significant interaction between water content and ambient below-snow temperature and a significant difference between individuals collected from two locations in Alaska: Wiseman and Fairbanks. Individuals collected in Wiseman deep supercooled with greater water content and to a greater range of ambient temperatures than individuals collected in Fairbanks, leading to significantly different lethal water contents associated with 50% probability of freezing.
1022-LB

Aim This study aims to uncover the mechanisms that explain the unexpectedly high rate of clinical rejection of kidney transplant in HIV patients. If confirmed, the results will open a new era in the Art and Science of transplantation, and might have the potential to change the way we treat and prevent clinical rejection in allogenic kidney transplant in particular, and the whole transplant thinking about immunosuppression, in general. Methods From 2005 to 2010, seventeen patients with HIV disease have received a kidney transplant at the University of Miami Miller School of Medicine/Jackson Memorial Hospital. We have diagnosed eight patients with at least one episode of clinical rejection, a rate overwhelmingly higher than the standard 7% usually recorded for this institution. The immunosuppression regimen used for those patients is a steroid free protocol and is no different from the regimen utilized in the general population of our kidney transplants patients, including thymoglobuline / daclizumab boost as induction preventative treatment , and immunosuppresion maintenance regimen with tacrolimus, mycophenolate mofetil. We then analyze the immunologic profile of every patient included in the study, as well as the tacrolimus level pattern in those particular patients receiving antiretroviral medicine. Results All episodes of clinical rejection were successfully rescued with intravenous methylprednisolone, and addition of oral steroids in the maintenance regimen. Despite the inherently crippled immunologic status of HIV patients, they are still able to mount enough lymphocytic reaction in order to fight the transplanted kidney. We think that the swings in immunosuppresion level may be a strong factor in the occurrence of clinical rejection of the allograft.
Fosfocetolasas para mejorar la producción de metabolitos derivados de acetil-coenzima A, isopreno, precursores de isoprenoides e isoprenoides

Célula recombinante capaz de aumentar el flujo de carbono a través de la ruta de la fosfocetolasa, en la que la célula recombinante comprende (A) (i) una secuencia de ácido nucleico heterólogo que codifica para un polipéptido que tiene actividad fosfocetolasa, en la que el polipéptido comprende una identidad de secuencia de al menos el 65% con SEQ ID NO: 8 y (ii) uno o más ácidos nucleicos que codifican para uno o más polipéptidos de la ruta de MVA completa, en la que dicha célula recombinante que comprende dicho polipéptido que tiene actividad fosfocetolasa de (i) tiene un valor de índice de rendimiento mayor de 1,0 en uno o más de los siguientes parámetros: (a) crecimiento celular en glucosa, (b) crecimiento celular en xilosa, (c) producción de acetil-fosfato intracelular 15 o (d) crecimiento celular en glucosa-6-fosfato; o (B) (i) una secuencia de ácido nucleico heterólogo que codifica para un polipéptido que tiene actividad 20 fosfocetolasa, en la que el polipéptido comprende una identidad de secuencia de al menos el 65% con SEQ ID NO: 8 y (ii) uno o más ácidos nucleicos que codifican para uno o más polipéptidos de la ruta de MVA completa, en la que dicho polipéptido que tiene actividad fosfocetolasa de (i) tiene un valor de índice de rendimiento mayor de 1,0 en el siguiente parámetro: actividad específica de fructosa-6-fosfato (F6P); en la que el valor de índice de rendimiento es la actividad calculada por unidad en relación con la fosfocetolasa de E. gallinarum de SEQ ID NO: 93.