Notes

Predictors involving on-task Behaviours: Evaluating Student-level Characteristics.
Children tend to assume that their ingroup members are more likely to share their preferences than outgroup members, but group membership and shared preferences need not be congruent in reality. The current study investigated 76 3- to 6-year-old children's baseline intergroup attitudes in a minimal group context and their subsequent attitudes after being informed that either (a) their ingroup, but not their outgroup, shared their preferences or (b) their outgroup, but not their ingroup, shared their preferences. Cues about shared preferences affected children's intergroup biases to some extent, such that children tended to like their outgroup more and to allocate resources fairly among their ingroup and outgroup when they learned that their outgroup shared their preferences. However, intergroup biases were robust in some measures, such that children reported high ingroup liking and demonstrated ingroup favoritism in behavioral attribution regardless of whether they learned that their ingroup or outgroup shared their preferences. Children were also administered measures tapping into cognitive flexibility, but there was no coherent evidence that children's cognitive flexibility was related to their initial intergroup attitudes or their subsequent intergroup attitudes after learning that their ingroup or outgroup shared their preferences. The current study demonstrates a nuanced picture of intergroup biases, such that these biases might not be entirely entrenched but can nonetheless be robust in the face of conflicting cues about group membership and shared preferences. Furthermore, the importance of investigating intergroup biases at the individual level, rather than only at the group level, is discussed.
The primary purpose of this work is to systematically assess the performance trade-offs on clinical prediction tasks of four diagnosis code groupings AHRQ-Elixhauser, Single-level CCS, truncated ICD-9-CM codes, and raw ICD-9-CM codes.

We used two distinct datasets from different geographic regions and patient populations and train models for three prediction tasks 1-year mortality following an ICU stay, 30-day mortality following surgery, and 30-day complication following surgery. We run multiple commonly-used binary classification models including penalized logistic regression, random forest, and gradient boosted trees. Model performance is evaluated using the Area Under the Receiver Operating Characteristic (AUROC) and the Area Under the Precision-Recall Curve (AUCPR).

Single-level CCS, truncated codes, and raw codes significantly outperformed AHRQ-Elixhauser ICD grouping when predicting 30-day postoperative complication and one-year mortality after ICU admission. The performance across groupings was to enable reproducibility and to support future research.
Mobile Applications (apps) are commonly used in the health care settings to improve the quality of care, however prior to the release of the app it is vital to evaluate its usability. Therefore, the aim of this study is to adapt the mobile Health App Usability Questionnaire (MAUQ) and measure the usability of the Eye donor Aust App using the modified instrument (m-MAUQ).

The study was undertaken using a convenience sample of 94 patients and their carers attending three eye clinics and one outpatient department in a large hospital in Sydney Australia. The study was conducted in two phases. Pirfenidone mouse Phase 1 involved the adaptation of the MAUQ, and validity testing of the modified version. Phase 2 included the usability evaluation of the Eye donor Aust App using the modified MAUQ (m-MAUQ).

The m-MAUQ comprised of 15 items and the content validity of the instrument was considered satisfactory. Exploratory factor analysis supported a three-factor structure namely ease of use and satisfaction (nine items), usefulness as registering to become a donor.
The results support the use of the m-MAUQ as a valid instrument to measure the usability of the Eye Donor Aust App. This instrument requires further testing in other groups of people. Usability testing of the Eye Donor Aust app demonstrated that the participants were satisfied with the content and functionality of the app stating that it was well organised, visually appealing and user friendly. This result could translate into more people using the app and thereby increasing their knowledge and attitude towards eye donation as well as registering to become a donor.In coastal marine ecosystems coralline algae often create biogenic reefs. These calcareous algal reefs affect their associated invertebrate communities via diurnal oscillations in photosynthesis, respiration and calcification processes. Little is known about how these biogenic reefs function and how they will be affected by climate change. link2 We investigated the winter response of a Mediterranean intertidal biogenic reef, Ellissolandia elongata exposed in the laboratory to reduced pH conditions (i.e. ambient pH - 0.3, RCP 8.5) together with an extreme heatwave event (+1.4 °C for 15 days). Response variables considered both the algal physiology (calcification and photosynthetic rates) and community structure of the associated invertebrates (at taxonomic and functional level). The combination of a reduced pH with a heatwave event caused Ellisolandia elongata to significantly increase photosynthetic activity. The high variability of calcification that occurred during simulated night time conditions, indicates that there is not a simple, linear relationship between these two and may indicate that it will be resilient to future conditions of climate change. In contrast, the associated fauna were particularly negatively affected by the heatwave event, which impoverished the communities as opportunistic taxa became dominant. Local increases in oxygen and pH driven by the algae can buffer the microhabitat in the algal fronds, thus favouring the survival of small invertebrates.Organophosphate esters (OPEs) are normally used as flame retardants, plasticizers and lubricants, but have become environmental pollutants. Because OPEs are normally present alongside heavy metals in soils, the effects of interactions between OPEs and heavy metals on plant uptake of OPEs need to be determined. In this study, we investigated the effects of OPEs chemical structure, plant cultivar and copper (Cu) on the uptake and translocation of OPEs by plants. The bioaccumulation of OPEs varied among plant cultivars. They were preferentially enriched in carrot, with the lowest concentrations observed in maize. OPEs with electron-ring substituents (ER-OPEs) exhibited a higher potential for root uptake than did OPEs with open-chain substituents (OC-OPEs), which could be attributed to the higher sorption of ER-OPEs onto root charged surfaces. This was explained by the stronger noncovalent interactions with the electron-rich structure of ER-OPEs. The presence of Cu slightly reduced the distinct difference in the ability of roots to take up OC-OPEs and ER-OPEs. This was explained by the interactions of Cu ions with the electron-rich structure of ER-OPEs, which suppressed the sorption of ER-OPEs on the root surface. A negative relationship between the logarithms of the translocation factor and octanol-water partition coefficient (Kow) was observed in treatments with either OPEs only or OPEs + Cu, implying the significant role of hydrophobicity in the OPEs acropetal translocation. The results will improve our understanding of the uptake and translocation of OPEs by plant cultivars as well as how the process is affected by the chemical structure of OPEs and Cu, leading to improvements in the ecological risk assessment of OPEs in the food chain.This review captures the anabolic and stimulatory effects observed with inhibition of the transforming growth factor β superfamily in muscle, blood, and bone. New medicinal substances that rectify activin, myostatin, and growth differentiation factor 11 signaling give hope to the many whose lives are affected by deterioration of these tissues. The review first covers the origin, structure, and common pathway of activins, myostatin, and growth differentiation factor 11 along with the pharmacodynamics of the new class of molecules designed to oppose the activin receptor signaling pathway. Current terminology surrounding this new class of molecules is inconsistent and does not infer functionality. Adopting inhibitors of the activin receptor signaling pathway (IASPs) as a generic term is proposed because it encapsulates the molecular mechanisms along the pathway trajectory. To conclude, a pragmatic classification of IASPs is presented that integrates functionality and side effects based on the data available from animals and humans. This provides researchers and clinicians with a tool to tailor IASPs therapy according to the need of projects or patients and with respect to side effects.Textile fabrics inspection is an important part of textile manufacturing industry, more and more new inspections technologies are adopted for the application. Micro CT imaging technology is recently explored for textile material inspection. This paper proposed a method of weft micro-CT image segmentation based on U-Net, by using deep learning theory and X-ray micro-CT nondestructive detection technology to realize automatic segmentation of filamentous objects. Firstly, the weft micro-CT image was obtained by X-ray micro-CT scan, and then the segmentation target was manually divided. A high segmentation accuracy CT image segmentation dataset of textile materials was built for training the network model. Based on the original U-Net, through experimental exploration, the attention mechanism was introduced, and the encoder module, decoder module and loss function module were adjusted, so as to get a good segmentation effect. The experimental results show that the segmentation performance superiority of this proposed algorithm and the Dice similarity coefficient reaches 0.843. link3 The method proposed in this paper provides a direction for the combination of deep learning technology and micro-CT technology in industrial detection.
The veracity of the proportional hazards (PH) requirement is rarely scrutinized in most areas of cancer research, although fulfilment of this assumption underpins widely-used Cox survival models. We sought to critically appraise the existence of prognostic factors with time-dependent effects and to characterize their impact on survival among CLM patients.

Consecutive patients who underwent liver resection with curative intent for CLM at the Singapore General Hospital were identified from a prospectively-maintained database. We evaluated PH of 55 candidate variables, and parameters which departed significantly from proportionality were included in Cox models that incorporated an interaction term to account for time-dependent effects. As sensitivity analyses, we fitted Weibull mixture 'cure' models to handle long plateaus in the tails of survival curves, and also analyzed the restricted mean survival time.

318 consecutive patients who underwent curative liver resection for CLM between Jan 2000 and Nov 2016 were included in this analysis. Hazard ratios for tumor grade (poorly-versus well- and moderately-differentiated) were found to decrease from 3.135 (95% CI 1.637-6.003) at 12 months to 2.048 (95% CI 1.038-4.042) after 24 months, and ceased to be significant at 26 months. Compared to left-sided tumors, a right-sided tumor location was found to portend worse prognosis for the first 10 months after resection but subsequently confer a survival benefit due to a crossing of survival curves. Corroborating this observation, long-term cure fractions were estimated to be 25.5% (95% CI 17.4%-33.6%) and 34.2% (95% CI 17.4%-50.9%) among patients with left-sided and right-sided primary disease respectively.

Primary tumor sidedness and grade appear to exert time-varying prognostic effects in CLM patients undergoing curative liver resection.
Primary tumor sidedness and grade appear to exert time-varying prognostic effects in CLM patients undergoing curative liver resection.
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