Miracle-dz/UniFAR-FTUs huggingface dataset:
A Multi-modal Convolutional Neural Network Framework for the Prediction of Alzheimer’s Disease

This paper presents a multi-modal Alzheimer’s disease (AD) classification framework based on a convolutional neural network (CNN) architecture. The devised model takes structural MRI, and clinical assessment and genetic (APOe4) measures as inputs. Our CNN structure is designed to be efficient in its use of parameters which reduces overfitting, computational complexity, memory requirements and speed of prototyping. This is achieved by factorising the convolutional layers in parallel streams which also enables the simultaneous extraction of high and low level feature representations. Our method consistently achieves high classification results in discriminating between AD and control subjects with an average of 99% accuracy, 98% sensitivity, 100% specificity and an AUC of 1 across all test folds. Our study confirms that careful tuning of CNN characteristics can result in a framework which delivers extremely accurate predictions in a clinical problem despite data paucity, opening new avenues for application to prediction tasks which regard patient stratification, prediction of clinical evolution and eventually personalised medicine applications.
Infrared modulators based on liquid crystals

In this work liquid crystal (LC) modulators are considered. First one is based on electrically controlled birefringence (ECB) effect. A transducer with the thickness of 59 μm was prepared and liquid crystal material designed for infrared applications was used. The LC material shows mesomorphic phase in the room temperature and it has decreased absorption bands in the mid-infrared range (3 – 5 μm). The other considered modulator is a Fabry-Perot interferometer which can be used as a narrow band filter.
UDPipe 2.0 Prototype at CoNLL 2018 UD Shared Task

UDPipe is a trainable pipeline which performs sentence segmentation, tokenization, POS tagging, lemmatization and dependency parsing. We present a prototype for UDPipe 2.0 and evaluate it in the CoNLL 2018 UD Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies, which employs three metrics for submission ranking. Out of 26 participants, the prototype placed first in the MLAS ranking, third in the LAS ranking and third in the BLEX ranking. In extrinsic parser evaluation EPE 2018, the system ranked first in the overall score.
Variational Inference with Tail-adaptive f-Divergence

Variational inference with α-divergences has been widely used in modern probabilistic machine learning. Compared to Kullback-Leibler (KL) divergence, a major advantage of using α-divergences (with positive α values) is their mass-covering property. However, estimating and optimizing α-divergences require to use importance sampling, which could have extremely large or infinite variances due to heavy tails of importance weights. In this paper, we propose a new class of tail-adaptive f-divergences that adaptively change the convex function f with the tail of the importance weights, in a way that theoretically guarantee finite moments, while simultaneously achieving mass-covering properties. We test our methods on Bayesian neural networks, as well as deep reinforcement learning in which our method is applied to improve a recent soft actor-critic (SAC) algorithm (Haarnoja et al., 2018). Our results show that our approach yields significant advantages compared with existing methods based on classical KL and α-divergences.
Magnetic Resonance Imaging Is Cost‐Effective for Hepatocellular Carcinoma Surveillance in High‐Risk Patients With Cirrhosis

Ultrasonography (US) is generally recommended for the surveillance of hepatocellular carcinoma (HCC) in patients at risk. However, in patients with cirrhosis who have sufficiently high HCC incidence, surveillance using magnetic resonance imaging (MRI) with liver‐specific contrast showed markedly higher sensitivity in detecting early‐stage HCC than US. This study aimed to compare the cost‐effectiveness of semiannual surveillance using MRI versus US in patients with compensated cirrhosis and to identify the population that would gain optimal cost‐effectiveness through MRI surveillance. We designed a Markov model to compare the expected costs and quality‐adjusted life‐years (QALYs), between MRI and US, with a 20‐year time horizon, from the health care system perspective. The starting age of the cohort was 50 years, and 71% had hepatitis B virus–associated cirrhosis. The cycle length was 6 months. Transition probabilities and costs were obtained mainly from a prospective cohort study (the PRIUS study, NCT01446666). Cost and effectiveness were discounted at 5%. An incremental cost‐effectiveness ratio (ICER) was calculated and tested using sensitivity analyses. The cost‐effectiveness analysis indicated that the use of MRI incurred $5,562 incremental costs, 0.384 incremental life‐years (LYs), and 0.221 incremental QALYs compared to US. The annual HCC incidence was the most influential factor on the ICER. The ICERs were $14,474/LY and $25,202/QALY at an annual HCC incidence of 3%. When the HCC incidence rate was >1.81%, the ICER was below $50,000/QALY. With increased HCC incidence, MRI surveillance was acceptable as a cost‐effective option, even with an increased MRI/US cost ratio. Conclusion: Semiannual surveillance using MRI with liver‐specific contrast may be more cost‐effective than US in patients with virus‐associated compensated cirrhosis at sufficiently high HCC risk despite the higher test cost of MRI.
Hierarchical Attention Based Position-Aware Network for Aspect-Level Sentiment Analysis

Aspect-level sentiment analysis aims to identify the sentiment of a specific target in its context. Previous works have proved that the interactions between aspects and the contexts are important. On this basis, we also propose a succinct hierarchical attention based mechanism to fuse the information of targets and the contextual words. In addition, most existing methods ignore the position information of the aspect when encoding the sentence. In this paper, we argue that the position-aware representations are beneficial to this task. Therefore, we propose a hierarchical attention based position-aware network (HAPN), which introduces position embeddings to learn the position-aware representations of sentences and further generate the target-specific representations of contextual words. The experimental results on SemEval 2014 dataset show that our approach outperforms the state-of-the-art methods.
Frailty and Outcomes After Myocardial Infarction: Insights From the CONCORDANCE Registry

Background Little is known about the prognostic implications of frailty, a state of susceptibility to stressors and poor recovery to homeostasis in older people, after myocardial infarction (MI). Methods and Results We studied 3944 MI patients aged ≥65 years treated at 41 Australian hospitals from 2009 to 2016 in the CONCORDANCE (Australian Cooperative National Registry of Acute Coronary Care, Guideline Adherence and Clinical Events) registry. Frailty index (FI) was determined using the health deficit accumulation method. All‐cause and cardiac‐specific mortality at 6 months were compared between frail (FI >0.25) and nonfrail (FI ≤0.25) patients. Among 1275 patients with ST‐segment–elevation MI (STEMI), 192 (15%) were frail, and among 2669 non‐STEMI (NSTEMI) patients, 902 (34%) were frail. Compared with nonfrail counterparts, frail STEMI patients received 30% less reperfusion therapy and 22% less revascularization during index hospitalization; frail NSTEMI patients received 30% less diagnostic angiography and 39% less revascularization. Unadjusted 6‐month all‐cause mortality (STEMI: 13% versus 3%; NSTEMI: 13% versus 4%) and cardiac‐specific mortality (STEMI: 6% versus 1.4%, NSTEMI: 3.2% versus 1.2%) were higher among frail patients. After adjustment for known prognosticators, FI was significantly associated with higher 6‐month all‐cause (STEMI: odds ratio: 1.74 per 0.1 FI [95% confidence interval, 1.37–2.22], P<0.001; NSTEMI: odds ratio: 1.62 per 0.1 FI [95% confidence interval, 1.40–1.87], P<0.001) but not cardiac‐specific mortality (STEMI: P=0.99; NSTEMI: P=0.93). Conclusions Frail patients receive lower rates of invasive cardiac care during MI hospitalization. Increased frailty was independently associated with increased postdischarge all‐cause mortality but not cardiac‐specific mortality. These findings inform identification of frailty during MI hospitalization as a potential opportunity to address competing risks for mortality in this high‐risk population.
Performance Evaluation of Age Estimation from T1-Weighted Images Using Brain Local Features and CNN

The age of a subject can be estimated from the brain MR image by evaluating morphological changes in healthy aging. We consider using two-types of local features to estimate the age from T1-weighted images: handcrafted and automatically extracted features in this paper. The handcrafted brain local features are defined by volumes of brain tissues parcellated into 90 or 1,024 local regions defined by the automated anatomical labeling atlas. The automatically extracted features are obtained by using the convolutional neural network (CNN). This paper explores the difference between the handcrafted features and the automatically extracted features. Through a set of experiments using 1,099 T1-weighted images from a Japanese MR image database, we demonstrate the effectiveness of the proposed methods, analyze the effectiveness of each local region for age estimation and discuss its medical implication.
Influence of Night Soccer Matches on Sleep in Elite Players

Abstract Nédélec, M, Dawson, B, and Dupont, G. Influence of night soccer matches on sleep in elite players. J Strength Cond Res 33(1): 174–179, 2019—This study examined the impact of night matches on the sleep/wake behavior of elite soccer players participating in the UEFA Champions League and French Ligue 1. A mixed method approach was used, combining objective sleep assessment with wrist activity monitors, and a survey to ascertain the sleep complaints after night matches (kick off after 18:00 hours). Most players (90%) indicated worse sleep in the nights after evening matches than after training days. Objective time in bed (−01:39 hours; effect size [ES] = 1.7; p < 0.001) and total sleep time (−01:32 hours; ES = 1.4; p < 0.001) were both lower after night matches than after training days. Night matches had a marked influence on sleep quantity later that night, both objectively and subjectively. The survey revealed that players may not have appropriate methods for better managing their sleep after night matches. It is yet to be determined whether players may benefit from individualized sleep interventions in these circumstances.
Workplace-Related Factors Associated With Employees’ Standing Time at Work: A Research Brief

Purpose: The purpose of this study was to identify the relationship between work-related, individual, and environmental factors and self-reported standing time during the workday. Design: Cross-sectional study design. Setting: Participants were recruited from a large, public university in the southeastern United States. Measures: Data were collected through an 87-item online survey using previously validated scales that assessed workplace standing time, demographic variables, work-related psychosocial factors, and workplace environment factors. Analysis: One-way analysis of variance, Pearson correlation coefficients, and nonparametric tests were used to determine univariate relationships between standing time and independent work-related variables and demographic factors. Results: Mean standing time among the sample (n = 502) was 72.49 minutes (standard deviation = 73.48) daily. There was a significant relationship between standing time and barrier self-efficacy for standing at work, self-regulation strategies, social norms, local connectivity in the workplace, overall connectivity in the workplace, and proximity of coworkers. Standing time was significantly higher for men, employees with an advanced degree, employees with a standing desk, and faculty. Conclusion: Health promotion researchers and practitioners should consider factors at multiple levels of influence when designing studies to explore workplace sedentary behavior. The findings regarding variations in workplace behavior by employee subgroups should be taken into consideration when designing future studies in the workplace.
Surgical treatment of gastrointestinal stromal tumors of the duodenum: a literature review.

Background Gastrointestinal stromal tumors (GIST) are the most frequent mesenchymal tumours in the digestive tract. The duodenal GIST (dGIST) is the rarest subtype, representing only 4-5% of all GIST, but up to 21% of the resected ones. The diagnostic and therapeutic management of dGIST may be difficult due to the rarity of this tumor, its anatomical location, and the clinical behavior that often mimic a variety of conditions; moreover, there is lack of consent for their treatment. This study has evaluated the scientific literature to provide consensus on the diagnosis of dGIST and to outline possible options for surgical treatment. Methods An extensive research has been carried out on the electronic databases MEDLINE, Scopus, EMBASE and Cochrane to identify all clinical trials that report an event or case series of dGIST. Results Eighty-six studies that met the inclusion criteria were identified with five hundred forty-nine patients with dGIST: twenty-seven patients were treated with pancreatoduodenectomy and ninety-six with only local resection (segmental/wedge resections); in four hundred twenty-six patients it is not possible identify the type of treatment performed (pancreatoduodenectomy or segmental/wedge resections). Conclusions dGISTs are a very rare subset of GISTs. They may be asymptomatic or may involve symptoms of upper GI bleeding and abdominal pain at presentation. Because of the misleading clinical presentation the differential diagnosis may be difficult. Tumours smaller than 2 cm have a low biological aggressiveness and can be followed annually by endoscopic ultrasound. The biggest ones should undergo radical surgical resection (R0). In dGIST there is no uniformly adopted surgical strategy because of the low incidence, lack of experience, and the complex anatomy of the duodenum. Therefore, individually tailored surgical approach is recommended. R0 resection with 1-2 cm clear margin is required. Lymph node dissection is not recommended due to the low incidence of lymphatic metastases. Tumor rupture should be avoided.
Comparison of Accelerometry-Based Features for Fall Risk Assessment Measured From Two Sensor Locations

Falls are an unfortunate problem for older adults, their relatives and societies. Continuous gait monitoring for fall risk assessment during daily lives would allow early interventions to prevent injurious falls. Continuous gait monitoring is possible using technological solutions such as inertial sensors; for example accelerometers. Current solutions require attaching the sensor to a certain location on the body and many of them to the lower back, which is not convenient for the user. The objective of this study was to find out whether gait variables calculated from the acceleration signal measured during walk from two different locations on waist area differ from each other. Forty two older adult subjects were measured during walk test with a triaxial acceleration sensor worn on an elastic belt at the lower back and frontal hip area. Most of the analyzed gait features from the two locations have a strong correlation, indicating that these features are not sensitive to sensor location around waist level. A subsequent study is needed to confirm other locations for the sensors to allow analyzing gait during everyday lives.
Adolescents’ Aided Recall of Targeted and Non-Targeted Tobacco Communication Campaigns in the United States

We examined whether advertisements from two national tobacco control campaigns targeting adolescents (i.e., The Real Cost, Fresh Empire) and one campaign targeting adults (i.e., Tips from Former Smokers) were reaching adolescents. Data came from a national sample of adolescents aged 13 to 17 years (n = 975) surveyed by phone from August 2016 to May 2017. We assessed recall and attitudes toward five specific advertisements and three campaign slogans and examined differences by sub-groups. Almost all (95%) adolescents recalled seeing at least one campaign advertisement. Aided recall of The Real Cost and Tips from Former Smokers slogans was high (65.5% and 71.6%, respectively), while aided recall of Fresh Empire slogan was lower (15.3%) (χ2 p-value: p < 0.001); however, Black adolescents had higher odds of recalling the Fresh Empire ad (aOR: 2.28, 95% CI: 1.39, 3.73) and slogan (aOR: 2.64, 95% CI: 1.06, 6.54) compared to White adolescents. Increased exposure to the advertisements (i.e., recalling more advertisements) was significantly associated with higher odds of reporting negative feelings toward tobacco products in 4/5 models (aORs from 1.34 to 1.61). Large-scale national campaigns can have wide reach among both targeted and non-targeted audiences with added benefits for cumulative cross-campaign exposure to advertisements.
Raman photogalvanic effect: Photocurrent at inelastic light scattering

We show theoretically that electromagnetic waves propagating in the transparency region of a non-centrosymmetric medium can induce a dc electric current. The origin of the effect is the Raman scattering of light by free carriers in the system. Due to the photon scattering, electrons undergo real quantum transitions resulting in the formation of their anisotropic momentum distribution and in shifts of electronic wavepackets giving rise to a steady state photocurrent. We present microscopic theory of the Raman Photogalvanic effect (RPGE) focusing on two specific situations: (i) generic case of a bulk gyrotropic semiconductor and (ii) a quantum well structure where the light is scattered by intersubband excitations. We uncover the relation of the predicted RPGE and the traditional photogalvanic effect at the light absorption.
IPI、NCCN-IPI及年龄调整的IPI评分系统在弥漫大B细胞淋巴瘤患者中的预后价值比较

目的 比较IPI、美国国家综合癌症网络IPI（NCCN-IPI）及年龄调整的IPI（aa-IPI）三种预后分层模型在弥漫大B细胞淋巴瘤（DLBCL）患者中的预后分层能力。 方法 回顾性分析2003年1月至2012年12月311例初治DLBCL患者资料，根据治疗方案将患者分为CHOP（环磷酰胺、多柔比星、长春新碱、泼尼松）方案及利妥昔单抗（R）-CHOP方案组，分别采用IPI、NCCN-IPI及aa-IPI对DLBCL患者进行危险度分层。 采用Harrell's C统计评价不同模型的预后分层能力。 结果 ①311例患者中接受CHOP方案治疗者128例，接受R-CHOP方案治疗者183例。 ②CHOP方案组患者的5年总生存（OS）率结果显示，aa-IPI（71.0%对25. 0%，P<0.001）、NCCN-IPI（59.7%对26. 8%，P<0.001）和IPI（47.6%对36. 6%，P=0.003）均能区分中低危和中高危组患者，但前两者区分效果似乎更佳；而R-CHOP方案组，NCCN-IPI拥有更好的预后分层能力，其低危、中低危、中高危患者的5年OS率分别为96. 0%、83.0%、66.5%（P=0.009）。 ③Harrell's C分析结果显示，IPI、NCCN-IPI及aa-IPI预测接受CHOP方案者OS的一致性指数（C-index）分别为0. 546、0.667、0.698；预测接受R-CHOP方案者OS的C-index分别为0. 611、0.654、0.695。 ④在≤60岁患者中，IPI、NCCN-IPI、aa-IPI预测接受CHOP方案者OS的C-index分别为0. 534、0.675、0.698；预测接受R-CHOP方案者OS的C-index分别为0. 584、0.648、0.695。 结论 NCCN-IPI对于接受利妥昔单抗联合化疗的DLBCL患者有较好的预后分层能力，而aa-IPI对于较年轻的DLBCL患者预后分层能力可能更佳。
Understanding Cumulative Risk Perception from Judgments and Choices: An Application to Flood Risks

Catastrophic events, such as floods, earthquakes, hurricanes, and tsunamis, are rare, yet the cumulative risk of each event occurring at least once over an extended time period can be substantial. In this work, we assess the perception of cumulative flood risks, how those perceptions affect the choice of insurance, and whether perceptions and choices are influenced by cumulative risk information. We find that participants' cumulative risk judgments are well represented by a bimodal distribution, with a group that severely underestimates the risk and a group that moderately overestimates it. Individuals who underestimate cumulative risks make more risk‐seeking choices compared to those who overestimate cumulative risks. Providing explicit cumulative risk information for relevant time periods, as opposed to annual probabilities, is an inexpensive and effective way to improve both the perception of cumulative risk and the choices people make to protect against that risk.
Hybrid inviability and differential submergence tolerance drive habitat segregation between two congeneric monkeyflowers.

Closely related, ecologically similar species are often separated at small geographic scales while being broadly sympatric. Both adaptation to abiotic environmental conditions and a variety of biotic interactions may determine small-scale allopatry. In Northern California's coast range, two monkeyflower species, Mimulus guttatus and Mimulus nudatus, can co-occur within local sites but rarely overlap at fine spatial scales, even though they are often separated by less than 1 m. M. guttatus naturally grows in wetter areas and is often submerged for up to four months of the year, while M. nudatus naturally occupies drier sites. We used a combination of observational data, reciprocal transplant, and laboratory experiments to test a series of biotic and abiotic hypotheses for the observed distribution pattern. Although M. guttatus can tolerate dry hillside conditions like those in which M. nudatus occurs, M. nudatus is unable to survive submerged for more than a week, limiting its distribution from seasonal streams inundated for months and dominated by M. guttatus. While herbivores did not differentially damage species, transplants were more likely to be damaged in M. guttatus' seep habitat and M. nudatus was less tolerant to herbivory. Individuals of each species transplanted into populations of heterospecific congeners produced large proportions (up to 80%) of inviable seeds resulting from increased hybridization rates in close sympatry. Mimulus nudatus' inability to tolerate submergence and herbivory establishes some degree of habitat association, and then, hybrid seed inviability reduces the ability of the locally rarer species to persist within the congener's microhabitat and maintains habitat segregation. Together these data show that both environmental filtering and biotic interactions shape the fine-scale distribution of close relatives.