Miracle-dz/UniFAR-FTUs huggingface dataset:
Ponasterone A and F, Ecdysteroids from the Arctic Bryozoan Alcyonidium gelatinosum

A new ecdysteroid, ponasterone F (1) and the previously reported compound ponasterone A (2) were isolated from specimens of the Arctic marine bryozoan Alcyonidium gelatinosum collected at Hopenbanken, off the coast of Edgeøya, Svalbard. The structure of 1 was elucidated, and the structure of 2 confirmed by spectroscopic methods including 1D and 2D NMR and analysis of HR-MS data. The compounds were evaluated for their ability to affect bacterial survival and cell viability, as well as their agonistic activities towards the estrogen receptors α and β. The compounds were not active in these assays. Compound 2 is an arthropod hormone controlling molting and are known to act as an allelochemical when produced by plants. Even though its structure has been previously reported, this is the first time a ponasterone has been isolated from a bryozoan. A. gelatinosum produced 1 and 2 in concentrations surpassing those expected of hormonal molecules, indicating their function as defence molecules against molting predators. This work adds to the chemical diversity reported from marine bryozoans and expanded our knowledge of the chemical modifications of the ponasterones.
Contrasting effects of Symbiodinium identity on coral host transcriptional profiles across latitudes

Reef‐building corals can increase their resistance to heat‐induced bleaching through adaptation and acclimatization and/or by associating with a more thermo‐tolerant strain of algal symbiont (Symbiodinium sp.). Here, we show that these two adaptive pathways interact. We collected Acropora millepora corals from two contrasting thermal environments on the Great Barrier Reef: cooler, mid‐latitude Orpheus Island, where all corals hosted a heat‐sensitive clade C Symbiodinium, and warmer, low‐latitude Wilkie Island, where corals hosted either a clade C or a more thermo‐tolerant clade D. Corals were kept in a benign common garden to reveal differences in baseline gene expression, reflecting prior adaptation/long‐term acclimatization. Model‐based analysis identified gene expression differences between Wilkie and Orpheus corals that were negatively correlated with previously described transcriptome‐wide signatures of heat stress, signifying generally elevated thermotolerance of Wilkie corals. Yet, model‐free analyses of gene expression revealed that Wilkie corals hosting clade C were distinct from Wilkie corals hosting clade D, whereas Orpheus corals were more variable. Wilkie corals hosting clade C symbionts exhibited unique functional signatures, including downregulation of histone proteins and ion channels and upregulation of chaperones and RNA processing genes, putatively representing constitutive “frontloading” of stress response genes. Furthermore, clade C Symbiodinium exhibited constitutive expression differences between Wilkie and Orpheus, indicative of contrasting life history strategies. Our results demonstrate that hosting alternative Symbiodinium types is associated with different pathways of local adaptation for the coral host. These interactions could play a significant role in setting the direction of genetic adaptation to global warming in the two symbiotic partners.
Slow Recovery with Uncertainty Shocks and Optimal Firm Liquidation

I analyze optimal dynamic contracting between risk-averse investors and firm insiders in a dynamic general equilibrium model with heterogeneous firms. Borrowing constraints arise endogenously in this economy because investors do not observe firm output. I quantify the effect of aggregate uncertainty shocks and show that with realistic parameters, such shocks can lead to recessions with a 4% drop in GDP. It takes 8 quarters for GDP to return to pre-crisis levels after uncertainty reverts back to lower levels. This slow recovery is due to a large increase in the severity of the agency problem faced by small and medium-sized firms. A significant fraction of these firms sharply reduce investment both during the recession and several quarters into the recovery phase. In contrast, a negative first moment shock to productivity generates a fast recovery from a similar drop in GDP. ∗I am extremely grateful to Leonid Kogan, Andrey Malenko, and Jonathan Parker for their invaluable guidance and constant encouragement. I also thank Hui Chen, Erik Loualiche, Rajkamal Iyer, Amir Yaron, and seminar participants at Duke (Fuqua), Imperial College Business School, London School of Economics, Michigan State University (Eli Broad), University of Minnesota (Carlson), MIT (Sloan), University of Michigan (Ross), and University of Pennsylvania (Wharton) for useful discussions. All remaining errors are my own. Correspondence: Ross School of Business, University of Michigan, 701 Tappan Street, Ann Arbor, MI 48109, e-mail: imitra@umich.edu.
Pencil-Beam Fluence Evaluation Based on Monte Carlo Simulations Algorithm of High Energetic Treatment Photons

Background: The accurate calculation of doses during external radiotherapy sessions is necessary. Recently, the models used for this purpose have been the point kernel, pencil-beam, and collapsed cone superposition/convolution combination models. Methods: In this study, it is aimed to determine point/pencil-beam kernels to be used in dose calculations. For this purpose, tallying pencil-beam fluence based on Monte Carlo (MC) simulations is investigated by scoring a volume of interest centered in a cubic water phantom at a depth of 10 cm and the irradiated field of 10 cm × 10 cm. The fluence is calculated for each mono-energetic photon ranging from 0.25–6 MV at increments of 250 keV. Results: The output of the four fluence kernels along the depth Z around the central axis is categorized for both the primary and secondary photons and electrons. Here, a database for pencil-beam kernels is established for each category. For validation purposes, other MC simulations are carried out for fluence calculations as produced by the predetermined poly-energetic spectra for a Varian 6 MV linear accelerator. Conclusions: The net results show a good fit of the two convoluted fluence spectra quantities for both mono-energetic and poly-energetics-based simulations except little singular peaks.
Impact of ASR Performance on Free Speaking Language Assessment

© 2018 International Speech Communication Association. All rights reserved. In free speaking tests candidates respond in spontaneous speech to prompts. This form of test allows the spoken language proficiency of a non-native speaker of English to be assessed more fully than read aloud tests. As the candidate's responses are unscripted, transcription by automatic speech recognition (ASR) is essential for automated assessment. ASR will never be 100% accurate so any assessment system must seek to minimise and mitigate ASR errors. This paper considers the impact of ASR errors on the performance of free speaking test auto-marking systems. Firstly rich linguistically related features, based on part-of-speech tags from statistical parse trees, are investigated for assessment. Then, the impact of ASR errors on how well the system can detect whether a learner's answer is relevant to the question asked is evaluated. Finally, the impact that these errors may have on the ability of the system to provide detailed feedback to the learner is analysed. In particular, pronunciation and grammatical errors are considered as these are important in helping a learner to make progress. As feedback resulting from an ASR error would be highly confusing, an approach to mitigate this problem using confidence scores is also analysed.
Hereditary amyloidosis related to transthyretin V30M: disease progression in treated and untreated patients

Hereditary amyloidosis related to transthyretin V30M (hATTR V30M) is a progressive length‐dependent sensorimotor axonal neuropathy. We aimed to compare the disease progression of treated [liver transplantation (LT) or tafamidis] versus untreated patients with hATTR V30M.
Therapeutic potential of medicinal marijuana: an educational primer for health care professionals

With the proposed Canadian July 2018 legalization of marijuana through the Cannabis Act, a thorough critical analysis of the current trials on the efficacy of medicinal marijuana (MM) as a treatment option is necessary. This review is particularly important for primary care physicians whose patients may be interested in using MM as an alternative therapy. In response to increased interest in MM, Health Canada released a document in 2013 for general practitioners (GPs) as an educational tool on the efficacy of MM in treating some chronic and acute conditions. Although additional studies have filled in some of the gaps since the release of the Health Canada document, conflicting and inconclusive results continue to pose a challenge for physicians. This review aims to supplement the Health Canada document by providing physicians with a critical yet concise update on the recent advancements made regarding the efficacy of MM as a potential therapeutic option. An update to the literature of 2013 is important given the upcoming changes in legislation on the use of marijuana. Also, we briefly highlight the current recommendations provided by Canadian medical colleges on the parameters that need to be considered prior to authorizing MM use, routes of administration as well as a general overview of the endocannabinoid system as it pertains to cannabis. Lastly, we outline the appropriate medical conditions for which the authorization of MM may present as a practical alternative option in improving patient outcomes as well as individual considerations of which GPs should be mindful. The purpose of this paper is to offer physicians an educational tool that provides a necessary, evidence-based analysis of the therapeutic potential of MM and to ensure physicians are making decisions on the therapeutic use of MM in good faith.
The Effect of Mindfulness Training on Proactive and Reactive Cognitive Control

Previous studies have demonstrated that mindfulness practice can improve general cognitive control. However, little research has examined whether mindfulness practices affect different cognitive control strategies. According to the dual mechanisms of control (DMC) model, different cognitive control strategies may play distinct roles in individuals’ lives. Proactive control allows people to maintain and prepare for goals, whereas reactive control allows them to respond flexibly to a changing environment. Thus, this study investigates the influences of mindfulness training on proactive and reactive control measured by the AX version of the Continuous Performance Test (AX-CPT). Thirty participants completed AX-CPT and the Five Facet Mindfulness Questionnaire (FFMQ) before and after random assignment to either an 8-week mindfulness training group or a control group. The results showed no interaction between group and test time for AY or BX trial type, but the training group had fewer post-test errors on the BX trial and a higher Behavior Shift Index (BSI) of reaction time (RT) compared with the control group. This finding indicates enhanced trend of proactive control with mindfulness training. A positive correlation between the BSI of RT and observing scores on the FFMQ confirmed the connection between attentional components in mindfulness and proactive control. Errors on the AY trial in the post-test decreased in both groups, reflecting reactive control that did not differ between groups. The 8-week mindfulness training demonstrates a potential improvement effect on proactive control and could be helpful in overcoming interference.
Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Predicting traffic conditions from online route queries is a challenging task as there are many complicated interactions over the roads and crowds involved. In this paper, we intend to improve traffic prediction by appropriate integration of three kinds of implicit but essential factors encoded in auxiliary information. We do this within an encoder-decoder sequence learning framework that integrates the following data: 1) offline geographical and social attributes. For example, the geographical structure of roads or public social events such as national celebrations; 2) road intersection information. In general, traffic congestion occurs at major junctions; 3) online crowd queries. For example, when many online queries issued for the same destination due to a public performance, the traffic around the destination will potentially become heavier at this location after a while. Qualitative and quantitative experiments on a real-world dataset from Baidu have demonstrated the effectiveness of our framework.
A qualitative analysis of students’ perceptions of videos to support learning in a psychomotor skills course

INTRODUCTION This qualitative study analysed students' experiences and perceptions about different types of videos in a psychomotor skills course, relating to clinical knowledge and skills and how they benefited learners in and out of the classroom. METHODS Subjects were recruited from 4th and 5th year dental undergraduate programme. The recruitment was terminated after 24 students participated since data saturation was reached. A semi-structured interview was conducted with each participating student, digitally recorded and transcribed verbatim. A thematic analysis was performed using an inductive approach to identify key themes. RESULTS Four key domains were identified from thematic analysis: functionality and access; learning and understanding; clinical skills preparation and performance and supplementary learning resources. Students perceived videos to be an important and vital learning tool relating to its on-demand access, control of functionality and use for particular needs that is not possible from textbooks or lectures. Video learning materials allows students to clarify knowledge, improve cognitive thinking and enhance revision of theoretical concepts and clinical skills. Two types of video were regarded as particularly useful as students reported being actively and cognitively engaged in the learning content and broadened their clinical experience. In addition, students reported mental preparation of clinical psychomotor skills using their own mental visualisation which enabled them to prepare for the clinical care of their patients. CONCLUSION This qualitative research supports the benefits of learning from videos in relation to convenience of access and functionality of the videos. In addition, it shows novel aspects to learning from videos that are more cognitively engaging and in mental preparation of clinical skills prior to patient care.
Effect of CYP3A5*1 expression on tacrolimus required dose for transplant pediatrics: A systematic review and meta‐analysis

This systematic review was designed to find out optimal tacrolimus dose in pediatrics according to their CYP3A5*1 genotype by performing meta‐analysis. PubMed, Scopus, ISI web of Science, ProQuest, Cochrane library, and clinicaltrail.gov were systematically searched to find studies in which tacrolimus dose and/or blood concentration and/or concentration‐to‐dose (C/D) ratio were determined in genotype groups of CYP3A5*1 in pediatric population. Data were extracted at 14 time points post‐transplantation and meta‐analysis of mean and SD was performed. In all, 11 studies including 596 pediatric transplant recipients were entered into systematic review and meta‐analysis. Analysis of tacrolimus required dose, blood concentration, and C/D ratio in 14 time points post‐transplantation resulted in significant differences between expressers and non‐expressers of CYP3A5*1. It seems that 0.06 mg/kg/day higher tacrolimus dose in expressers can produce same blood level as non‐expressers. Using results of TDM for tacrolimus dose adjustment, it takes about 1 month for patients to reach stable and optimum tacrolimus blood concentration. This is too long time period which increases the risk of immunosuppressive over/under‐dose and drug toxicity or organ rejection. Considering our results, defining genetic profile helps to predict the individual required dose more rapidly, actually before beginning of treatment.
Physical activity classification with dynamic discriminative methods

A person's physical activity has important health implications, so it is important to be able to measure aspects of physical activity objectively. One approach to doing that is to use data from an accelerometer to classify physical activity according to activity type (e.g., lying down, sitting, standing, or walking) or intensity (e.g., sedentary, light, moderate, or vigorous). This can be formulated as a labeled classification problem, where the model relates a feature vector summarizing the accelerometer signal in a window of time to the activity type or intensity in that window. These data exhibit two key characteristics: (1) the activity classes in different time windows are not independent, and (2) the accelerometer features have moderately high dimension and follow complex distributions. Through a simulation study and applications to three datasets, we demonstrate that a model's classification performance is related to how it addresses these aspects of the data. Dynamic methods that account for temporal dependence achieve better performance than static methods that do not. Generative methods that explicitly model the distribution of the accelerometer signal features do not perform as well as methods that take a discriminative approach to establishing the relationship between the accelerometer signal and the activity class. Specifically, Conditional Random Fields consistently have better performance than commonly employed methods that ignore temporal dependence or attempt to model the accelerometer features.
Peritoneal Dialysis as an Option for Unplanned Dialysis Initiation in Patients with End-Stage Renal Disease and Diabetes Mellitus

Aims: This study aimed to compare the short-term complications and long-term prognosis between urgent-start peritoneal dialysis (PD) and hemodialysis (HD), and explore the safety and feasibility of PD in end-stage renal disease (ESRD) patients with diabetes. Methods: This retrospective study enrolled ESRD patients with diabetes who required urgent-start dialysis at a single center from January 2011 to December 2014. Short-term (30-day) dialysis-related complications and patient survival trends were compared between patients receiving PD and HD. Results: Eighty patients were included in the study, including 50 (62.5%) who underwent PD. The incidence of dialysis-related complications and complications requiring reinsertion during the first 30 days was significantly lower in PD patients. Logistic regression identified urgent-start HD as an independent risk factor for dialysis-related complications compared with urgent-start PD. The patient survival rate was higher in the PD compared to that in the HD group. Conclusions: PD may be acceptable, safe, and feasible for urgent-start dialysis in ESRD patients with diabetes.
Acute Complement Inhibition Potentiates Neurorehabilitation and Enhances tPA-Mediated Neuroprotection

Because complement activation in the subacute or chronic phase after stroke was recently shown to stimulate neural plasticity, we investigated how complement activation and complement inhibition in the acute phase after murine stroke interacts with subsequent rehabilitation therapy to modulate neuroinflammation and neural remodeling. We additionally investigated how complement and complement inhibition interacts with tissue plasminogen activator (tPA), the other standard of care therapy for stroke, and a U.S. Food and Drug Administration preclinical requirement for translation of an experimental stroke therapy. CR2fH, an injury site-targeted inhibitor of the alternative complement pathway, significantly reduced infarct volume, hemorrhagic transformation, and mortality and significantly improved long-term motor and cognitive performance when administered 1.5 or 24 h after middle cerebral artery occlusion. CR2fH interrupted a poststroke inflammatory process and significantly reduced inflammatory cytokine release, microglial activation, and astrocytosis. Rehabilitation alone showed mild anti-inflammatory effects, including reduced complement activation, but only improved cognitive recovery. CR2fH combined with rehabilitation significantly potentiated cognitive and motor recovery compared with either intervention alone and was associated with higher growth factor release and enhanced rehabilitation-induced neuroblast migration and axonal remodeling. Similar outcomes were seen in adult, aged, and female mice. Using a microembolic model, CR2fH administered in combination with acute tPA therapy improved overall survival and enhanced the neuroprotective effects of tPA, extending the treatment window for tPA therapy. A human counterpart of CR2fH has been shown to be safe and nonimmunogenic in humans and we have demonstrated robust deposition of C3d, the CR2fH targeting epitope, in ischemic human brains after stroke. SIGNIFICANCE STATEMENT Complement inhibition is a potential therapeutic approach for stroke, but it is not known how complement inhibition would interact with current standards of care. We show that, after murine ischemic stroke, rehabilitation alone induced mild anti-inflammatory effects and improved cognitive, but not motor recovery. However, brain-targeted and specific inhibition of the alternative complement pathway, when combined with rehabilitation, significantly potentiated cognitive and motor recovery compared with either intervention alone via mechanisms involving neuroregeneration and enhanced brain remodeling. Further, inhibiting the alternative pathway of complement significantly enhanced the neuroprotective effects of thrombolytic therapy and markedly expanded the therapeutic window for thrombolytic therapy.
Evolution of heat‐shock protein expression underlying adaptive responses to environmental stress

Heat‐shock proteins (Hsps) and their cognates are primary mitigators of cell stress. With increasingly severe impacts of climate change and other human modifications of the biosphere, the ability of the heat‐shock system to affect evolutionary fitness in environments outside the laboratory and to evolve in response is topic of growing importance. Since the last major reviews, several advances have occurred. First, demonstrations of the heat‐shock response outside the laboratory now include many additional taxa and environments. Many of these demonstrations are only correlative, however. More importantly, technical advances in “omic” quantification of nucleic acids and proteins, genomewide association analysis, and manipulation of genes and their expression have enabled the field to move beyond correlation. Several consequent advances are already evident: The pathway from heat‐shock gene expression to stress tolerance in nature can be extremely complex, mediated through multiple biological processes and systems, and even multiple species. The underlying genes are more numerous, diverse and variable than previously appreciated, especially with respect to their regulatory variation and epigenetic changes. The impacts and limitations (e.g., due to trade‐offs) of natural selection on these genes have become more obvious and better established. At last, as evolutionary capacitors, Hsps may have distinctive impacts on the evolution of other genes and ecological consequences.
The role of radiation therapy in the management of small cell lung cancer

Small cell lung cancer (SCLC) is a very aggressive form of lung cancer. SCLC treatment requires multidisciplinary management and timely treatment. Radiation therapy is an important part of management of all stages of SCLC, in the curative as well as in the palliative setting. The role of radiation therapy in all stages of SCLC has changed in recent years; this article describes these changes and highlights the role of radiation therapy in the management of SCLC. An overview of the important role played by radiotherapy in the treatment of every stage of SCLC http://ow.ly/iB9W30ggTaW