Miracle-dz/UniFAR-FTUs huggingface dataset:
Indícios de eficácia dos tratamentos psicoterápicos pela internet: revisão sistemática1

1 O presente trabalho foi realizado com apoio da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Brasil (CAPES) Código de Financiamento 001 e com apoio da Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS). 2 Factum Faculdade e Escola Técnica, Porto Alegre, Brasil. E-mail: lparisf@gmail.com. 3 Universidade do Vale do Rio dos Sinos, São Leopoldo, Brasil. E-mail: ilana.fermann@gmail.com. 4 Universidade do Vale do Rio dos Sinos, São Leopoldo, Brasil. E-mail: ilana.andretta@gmail.com. 5 Universidade do Vale do Rio dos Sinos, São Leopoldo, Brasil. E-mail: fernandaserralta@gmail.com. Indícios de eficácia dos tratamentos psicoterápicos pela internet Página 2 de 25 ▲Gerais: Revista Interinstitucional de Psicologia, 14(S), 2021. e16767 The use of information and communication technologies in mental health is a growing trend. In recent years, research has focused on its influence on internet-mediated psychotherapeutic treatments. This study conducted a systematic review of the results of online psychotherapeutic treatments to verify the indications of its efficacy. Searches were performed in the databases PsycINFO, Scielo and Periódicos da CAPES with the descriptors "treatment by the internet", "online psychotherapy", "telepsychology" and "effectiveness". Sixteen studies were found for final analysis; the results indicate evidence of efficacy of these interventions for many psychopathological disorders. Cognitive-behavioral therapy was the theoretical approach most used in the interventions. Online interventions with a psychotherapist were superior to other types of interventions. Few papers described the characteristics of the control groups and the training of psychotherapists. Clinical heterogeneity and outcome assessment tools limit the generalization of findings and comparison between studies.
A Deep Learning-based Indoor Scene Classification Approach Enhanced with Inter-Object Distance Semantic Features

Convolutional Neural Networks (CNNs) have been increasingly applied in visual classification tasks by replacing hand-crafted features with deep features. However, problems such as inter-class similarity and intra-class variation led to the need of obtaining more descriptive features. To accomplish this, a new semantic inter-object relationship approach is proposed, which is based on the distance relationships between recognized objects. This new source of information represents how close or apart objects belonging to two object classes are, which, together with the number of object occurrences, allows to develop a more descriptive semantic feature representation of the scene. To exploit such semantic features, a two-branch CNN architecture based on 1D and 2D convolutional layers, is proposed. Also, an enhancement version, GSF2AppV2, of the Global and Semantic Feature Fusion described in [1] is proposed by integrating the new semantic inter-object relationship approach, as well as the aforementioned two-branch CNN architecture. The GSF2AppV2 is also composed of a CNN-based global feature branch, where five different CNN-based feature extraction approaches were assessed as global feature extraction modules. Moreover, to combine global and semantic features, two feature fusion approaches are proposed and evaluated: correlation and triple concatenation. GSF2AppV2 was evaluated in two benchmark datasets: the SUN RGB-D and NYU Depth V2. State-of-the-art results were achieved on both datasets, showing the effectiveness of the proposed semantic feature approach on the pipeline.
Design and Synthesis of Hybrid Compounds as Epigenetic Modifiers

Epigenetic modifiers acting through polypharmacology mechanisms are promising compounds with which to treat several infectious diseases. Histone deacetylase (HDAC) enzymes, mainly class I, and extra-terminal bromodomains (BET) are involved in viral replication and the host response. In the present study, 10 compounds were designed, assisted by molecular docking, to act against HDAC class I and bromodomain-4 (BRD4). All the compounds were synthesized and characterized by analytical methods. Enzymatic assays were performed using HDAC-1, -4, and -11 and BRD4. Compounds (2–10) inhibited both HDAC class I, mainly HDAC-1 and -2, and reduced BRD4 activity. For HDAC-1, the inhibitory effect ranged from 8 to 95%, and for HDAC-2, these values ranged from 10 to 91%. Compounds (2–10) decreased the BRD4 activity by up to 25%. The multi-target effects of these compounds show desirable properties that could help to combat viral infections by acting through epigenetic mechanisms.
Aberrant Fucosylation of Saliva Glycoprotein Defining Lung Adenocarcinomas Malignancy

Aberrant glycosylation is a hallmark of cancer found during tumorigenesis and tumor progression. Lung cancer induced by oncogene mutations has been detected in the patient’s saliva, and saliva glycosylation has been altered. Saliva contains highly glycosylated glycoproteins, the characteristics of which may be related to various diseases. Therefore, elucidating cancer-specific glycosylation in the saliva of healthy, non-cancer, and cancer patients can reveal whether tumor glycosylation has unique characteristics for early diagnosis. In this work, we used a solid-phase chemoenzymatic method to study the glycosylation of saliva glycoproteins in clinical specimens. The results showed that the α1,6-core fucosylation of glycoproteins in cancer patients was significant increased. The fucosylation of α1,2 or α1,3 is also increased in cancer patients. We further analyzed the expression of fucosyltransferases responsible for α1,2, α1,3, α1,6 fucosylation. The fucosylation of the saliva of cancer patients is drastically different from that of non-cancer or health controls. These results indicate that the glycoform of saliva fucosylation distinguishes lung cancer from other diseases, and this feature has the potential to diagnose lung adenocarcinoma. TOC Fucosylation biosynthesis in lung cancer. Saliva fucosylation contains α1,2-linked, α1,3-linked, α1,6-linked fucosylation in lung cancer.
Distance-invariant automatic engagement level recognition using visual cues

In a camera-based engagement level recognition, a face is an important factor because cues mainly come from a face, which is affected from a distance between a camera and a user. In this paper, we present an automatic engagement level recognition method showing stable performance regardless of a distance between a camera and a user. We show a detailed process about getting a distance-invariant cue and compare its performance with and without the process. We also adopt a temporal pyramid structure to extract temporal statistical feature and present a voting method for an engagement level estimation. We show the results and the analysis using the database acquired in the real environment.
MultiPharm-DT: A Multi-Objective Decision Tool for Ligand-Based Virtual Screening Problems

Ligand Based Virtual Screening methods are used to screen molecule databases to se-lect the most promising compounds for a query. This is performed by decision-makers based on the information of the descriptors, which are usually processed individually. This methodology leads to a lack of information and hard post-processing dependent on the expert's knowledge that can end up in the discarding of promising compounds. Consequently, in this work, we propose a new multi-objective methodology called MultiPharm-DT where several descriptors are considered si-multaneously and whose results are offered to the decision-maker without effort on their part and without relying on their expertise.
Transient Copper Exposure During Embryogenesis and Temperature Affect Developmental Rate, Survival, and Fin Regeneration in Japanese Medaka (Oryzias latipes)

Combined environmental stressors that an organism experiences can have both immediate and lasting consequences. In the present study, we exposed Japanese medaka (Oryzias latipes) embryos to sublethal copper sulfate (CuSO4; 0, 10, and 100 ppb) in combination with different rearing temperatures (27, 30, and 33 °C) to assess acute and latent effects on development, growth, and regenerative capacity. Embryos exposed to CuSO4 and/or higher temperatures hatched significantly earlier. At 4 months post‐exposure, fish exposed to low levels of CuSO4 during development had higher survival, whereas fish exposed to both 100 ppb CuSO4 and 33 °C temperatures had significantly lower survival. In addition, a sex‐specific effect of embryonic CuSO4 exposure was observed as female mass decreased with increasing Cu dose. We also assessed caudal fin regenerative capabilities in both embryo‐exposed fish at 4 months of age and adult medaka that were exposed to 0, 10, and 100 ppb CuSO4 at room temperature during a 14‐day trial. Whereas fin regeneration was unaffected by adult exposure to Cu, fish transiently exposed during embryogenesis displayed an initial increase in fin growth rate and an increased incidence of abnormal fin morphology following regrowth. Collectively, these data suggest that developmental Cu exposure has the potential to exert long‐lasting impacts to organismal growth, survival, and function. Environ Toxicol Chem 2022;41:748–757. © 2021 SETAC
The application of modified Levenberg-Marquardt method for greenhouse gases retrieval in the Earth's atmosphere from high-resolution IR spectra

Here we present some results of modified Levenberg-Marquardt method applicability for solving inverse problems of greenhouse gases remote sensing in Earth’s atmosphere. The computational experiments were performed to retrieve the vertical profile of the main methane isotopologue from the thermal IR synthetic spectra of IASI/MetOp spectrometer. The noise parameters were set equivalent to sensor characteristics. The optimal estimation method implemented in FIREARMS software was used for solving the inverse problem. The data of the retrospective climate analysis CAMS GHG Flux Inversions were used as an initial guess and a statistical set of profiles. The computational experiment showed convergence and accuracy of the proposed method, which, however, turned out to be more computationally expensive than Gauss-Newton method.
Technological requirements for a lateral SiGe HBT technology including theoretical performance predictions relative to vertical SiGe HBTs

A new class of bipolar transistors, lateral SiGe HBTs, is considered from a theoretical point of view with regard to their feasibility and potential radio frequency (RF)/microwave performance relative to existing vertical SiGe HBT technologies. Using numerical analysis, it is found that the low terminal parasitics of a lateral SiGe HBT structure can provide at least twice the unity power gain frequency f/sub max/ compared to vertical structures for a given minimum lithography. Methods to fabricate a lateral SiGe HBT with superior RF/microwave characteristics compared to existing vertical technologies are explored. Extension of the numerical analysis results using simple scaling rules reveals that it should be possible to fabricate lateral SiGe HBTs with unity power gain frequencies in the neighborhood of 500 GHz operating in the micro-ampere range.
Evaluation and Comparison of Drip and Conventional Irrigation Methods on Sugar Beets in a Semiarid Region

A field study was conducted on sugar beet during a two-year period to investigate the effects and comparison of different irrigation methods and treatments on crop yield, irrigation water use efficiency (IWUE), and pan coefficient determination in a semiarid region with limited water resources. The experiments were in complete randomized blocks design. Three replications were used with different levels of irrigation water amounts (25, 50, 75, and 100%), evapotranspiration (ET) of sugar beet seasonal water requirement with surface drip tape (SDT), and conventional furrow irrigation method (CFI), with and without soil and water monitoring, and comparison with CROPWAT modeling. The variety of sugar beet was Rasool. The highest and lowest average irrigation water use efficiencies on the basis of root yield with 16.16 and 9 kg/m3 , and sugar yield with 3.82 and 1.33 kg/m3 , for both experimental years was achieved under different irrigation treatments of T4 (25% ET) SDT and CFI, respectively. The results of .
De Novo Transcriptome Assembly and Development of EST-SSR Markers for Pterocarpus Santalinus L. f. (Red sanders) , a Threatened and Endemic Timber Tree of India

The endemic and precious timber Pterocarpus santalinus L. f. (Red sanders) is a drought hardy tree species for conservation in peninsular India due to its high risk of illegal timber harvest. It is only found in Eastern Ghats of India, and has become threatened owing to overexploitation of its valuable timber. The development of genomic resources, particularly simple sequence repeat (SSR) markers, is essential for strict implementation of in situ conservation measures and application of DNA information based red sanders genetic resource management. However, a lack of genomic data and efficient molecular markers limit the study of its spatial and temporal population genetic structure, identification of diversity hotspots and tree improvement. The current study aims at comprehensive molecular characterization of red sanders and the somatic chromosome counts, flow cytometry and EST-SSR analyses. The results revealed that red sanders is diploid with 2n=20 and the 2C genome size was 0.7872 ± 0.0561pg for the first time in this species. A total of 3128 EST-SSRs were detected based on 25,854 de novo assembled unigenes from transcriptome data and primer sets designed for 1953 SSRs. Fifty-nine EST-SSR markers were evaluated for polymorphism in the natural populations of red sanders and 13 were found to be suitable for genetic analysis. Two major transcription factor families bHLH and ERF, responsible for abiotic stress and secondary metabolite synthesis were analysed which would provide the foundation for further research on production of medicinally important biocompounds.
Modelling terrain for wildfire purposes

Prediction of wildfire behaviour requires data on terrain. Traditionally this involves slope for altering headfire rate of spread, and aspect, which is compared to wind direction to derive overall fire spread vectors. This works well for steady-state wildfires and is embedded in all predictive models in use. Climate change is producing an ever-increasing incidence of extreme wildfires, which couple with the atmosphere above and form blow-up fire events. Some of the principal causes of the coupling require a more detailed analysis of terrain geometry. This paper is derived from earlier work to develop a predictive model for lightning-ignition-prone lands. For this, Shuttle Radar Topography Mission digital elevation models were used, with a key step being the derivation of the meso-scale elevation residual (MSER), the difference between the elevation and the locally averaged elevation. In terrain analysis, for any given point of interest, the average, maximum and minimum values within a 1500m radius are derived using desktop GIS packages. The difference between pairs of these values (including the actual elevation) allows estimation of: • Landform exposure (actual minus average, the MSER); high values indicate exposure; low values indicate entrenchment; and near zero values indicate lightning-ignition potential. • Landscape ruggedness (maximum minus minimum); low values (flat) suggest elliptical fires; medium values (undulating) suggest slope affected runs; and high values (rugged) suggest dominance of terrain interactions with the weather. • Wind regime (maximum minus actual) indicate dominant air flows: low values indicate prevailing winds; medium values show lee-eddy winds as well; and high values suggest wind channelling as well. • Drainage impairment (actual minus minimum) indicating potentials for cold air drainage and waterlogged soil. • Vorticity-driven lateral spread potential: can be modelled using first or second derivative of elevation. This is now known to be a cause of many major blow-up events in rugged landscapes. There is a need to tune the resolution of the digital elevation model in use to the scale of the fire. This requires parameterisation of the local landforms. For example, escalated wildfires in rugged terrain are shown to be relatively insensitive to slope values. The required equations and interpretation of outputs are presented in this paper, along with a worked example. A proper understanding of both terrain data and the greater insights into fire behaviour that it gives have become essential for keeping ahead of the imperatives caused by the influence of climate change on wildfire risks.
Pembelajaran Berbasis Teknologi Model Drill and Practice untuk Meningkatkan Hasil Belajar pada Pelajaran Matematika di Sekolah Dasar

Penelitian ini bertujuan untuk melihat: 1) apakah penggunaan pembelajaran berbasis teknologi model drill and practice ini mampu meningkatkan hasil belajar serta 2) bagaimana implementasi model drill and practice pada pembelajaran matematika dalam proes pembelajaran. metode penelitian yang digunakan dalam penelitian ini merupakan metode kualitatif dan pendekatan yang digunakan yaitu studi kepustakaan atau library research. Data yang didapatkan dalam penelitian ini menggunakan teknik pengumuplan data dengan dokumentasi yaitu mencari data dalam bentuk artikel dari jurnal tentang pembelajaran berbasis teknologi model drill and practice dalam pembelajaran matematika maupun di sekolah dasar. dengan menggunakan beberapa referensi artikel ilmiah yang menunjang penelitian kepustakaan ini, hasil dari penelitian ini menjelaskan bahwa dari analisis 6 artikel yang peneliti analisis menunjukkan yaitu penggunaan model drill and practice ini mampu memberikan dampak positif terlihat dari hasil belajar matematika yang meningkat pada pengunaan model ini dalam pembelajaran.
11.4: Invited Paper: Autostereoscopic Imaging with Simultaneous Reproduction of Two Image Elements in One Display Pixel: General Approach and Experimental Results

Simultaneous reproduction of two full‐screen resolution views of 3D scene in one and the same display screen is considered regardless of the physical gear of information‐dependent polarization coding‐decoding in each display pixel. In such display a stereoscopic image is flicker‐free even with use of 60 Hz ‐ frame rate LC imaging and polarization coding matrices.
Free flight an air traffic management partnership

It is generally recognized that an air traffic management system involving free flight throughout the National Airspace System (NAS) presents the opportunity to safely increase system productivity. The Lockheed Martin team has developed an enabling vision for free flight referred to as Air Traffic Management Partnership (ATMP), offering the ability to realize the full potential of free flight. Our approach focuses on a reallocation of responsibilities among the principal operators of the airspace system, namely, pilots on the Flight Deck (FD), managers working for the Air Traffic Service Provider (ATSP), and dispatchers working in the Airline Operations Center (AOC). ATMP is a cooperative system of modern technologies to realize a balanced allocation of responsibility and resources for increased safety, efficiency, and capacity of the global airspace complex.
The Temperature-dependent Cone Calorimeter: An Approximate Alternative to Furnace Testing

This article discusses how a modified (variable heat flux) Cone Calorimeter can be used to approximately replicate heating regimes in standard furnace testing. The method is not exact as there are a number of physical differences between the two systems that are not accounted for, and the cone heater is unable to deliver sufficient heat flux to replicate aggressive furnace environments such as the hydrocarbon heating regime. Intumescent coatings testing is used (on an I-beam and a flat plate in the cone) to demonstrate the efficacy of the technique. The method as described relates to an internal furnace test (on an I-beam), but it is easily modifiable to other test scenarios such as a door test. Similarly, although the example discussed considers intumescent coatings testing, it is expected that a wide range of sample media could be tested in this way. That stated there are a range of limitations to this technique that need to be appreciated.
A Note on Wedge Trust Region Radius Update

Wedge trust region method based on traditional trust region is designed for derivative free optimization problems. This method adds a constraint to the trust region problem, which is called “wedge method”. The problem is that the updating strategy of wedge trust region radius is somewhat simple. In this paper, we develop and combine a new radius updating rule with this method. For most test problems, the number of function evaluations is reduced significantly. The experiments demonstrate the effectiveness of the improvement through our algorithm.
SDR Using wellness coaching as a talent management tool

Selection & Development Review, Vol. 23, No. 5, 2007 IT’S COMMON IN coaching engagements to hear perceptions of work/family balance challenges and stressors. Perceptions of stress are often quite high with 40 per cent to 60 per cent of all coachees reporting very high levels caused by both family challenges (Nowack, 2006). It can be argued that helping employees deal more effectively with work and life balance, coping with stress, and facilitating psychological well-being can be a major focus across executive, life, career or health coaching (McCunney, 2001). Improving the total health of the workforce through formal wellness programmes including coaching would appear to be important strategies for increasing productivity and cost savings (e.g. Musich et al., 2006).
Perceiving Roughness via a Rigid Probe: Effects of Exploration Speed

This study investigates the psychophysical consequences for roughness perception of altering the speed with which textured surfaces are explored using a rigid probe. Two ranges of probe speed are used: a 4-fold change (Experiment 1) and a 10-fold change (Experiment 2). The data are examined in terms of the effects of speed upon the psychophysical roughness functions (i.e., perceived roughness as a function of interelement spacing). In addition, we perform a global comparison of the relative magnitude of haptic speed effects across current and previous experiments, using a new measure that we derive here. We discover that roughness constancy declines as the range of speed is reduced, sometimes quite substantially so. The results are considered as well in terms of their implications for producing and exploring simulated textures with haptic interfaces for teleoperation and virtual-environment systems. While we most often touch objects directly with our bare hands, we also frequently use intermediary links such as tools to bring about such interactions. In this paper, we report the results of two psychophysical experiments that extend our recent work (Klatzky & Lederman, 1999; Lederman & Klatzky, 1999) on how people perceive surface roughness via rigid probes. The current experiments investigate the effects of probe speed on roughness perception under active exploration. A more comprehensive paper, which also includes comparable results for passive touch (the surfaces are moved across a stationary probe), has been submitted1. In addition to their contribution to psychophysical issues pertaining to the sense of touch, the results are also relevant to the preparation and exploration of synthetic texture information by means of haptic interfaces for teleoperator and virtual-environment systems.