Miracle-dz/UniFAR-FTUs huggingface dataset:
PROPOSALS TO APPROXIMATE THE PEDIATRIC ROME CONSTIPATION CRITERIA TO EVERYDAY PRACTICE.

BACKGROUND Acceptance of the prevailing pediatric Rome constipation criteria, by primary care physician, is still low. Even for research purposes they have not been universally adopted. Thus, it has been indicated that some re-evaluation of these criteria would be welcome. OBJECTIVE The authors aimed to look at the timing of diagnosis and the dietary treatment recommendations in the criteria, to make proposals trying to approximate them to everyday practice. METHODS The literature cited in the Rome criteria was reviewed and the publications pertinent to the subject, searched by Medline up to January 2018, were included. RESULTS An early diagnosis is fundamental to avoid evolution to bothersome complications and possibly to 'intractable' constipation, but the inclusion of two items of the criteria might hamper it. Thus, one constipation sign/symptom should suffice, usually the easily observable 'painful or hard bowel movements'. Details about dietary fiber recommendations are missing in the criteria, although its increase is usually the first approach in primary care, and overall the data about dietary fiber supplements point to beneficial effects. CONCLUSION For diagnosis and treatment of pediatric constipation in primary care, one constipation sign/symptom should suffice. The recommended daily dietary fiber intake, according to the American Health Foundation, should be detailed as a treatment measure, and also for prevention, from weaning on.
Study of Biased Temperature Instabilities in LDMOST technologies

Lots of studies have been dedicated to NBTI/PBTI in CMOS technologies, where the gate stack is most important. In this paper, we report our study of NBTI/PBTI in LDMOST technologies for RF Power applications. The observed BTI effect is associated to the backend of the processes.
Myo-inositol as an adjuvant to florfenicol against Aeromonas hydrophila infection in common carp Cyprinus carpio

Florfenicol, a synthetic drug with chemical structure and spectrum of antibacterial activity similar to chloramphenicol, has been shown to be effective against a number of bacterial pathogens. However, there are increasing signs of florfenicol-resistant bacteria due to the misuse and overuse of florfenicol in aquaculture. In the present study, florfenicol had a higher bactericidal efficacy in the presence of myo-inositol, which may be due to the ability of myo-inositol to increase susceptibility of Aeromonas hydrophila to florfenicol. Furthermore, in two different infected models, co-administration of myo-inositol and florfenicol significantly reduced the bacterial load in the liver, kidney and spleen tissues of A. hydrophila-infected Cyprinus carpio, and greatly increased the survival rate of infected fish. Finally, it was also found that myo-inositol exhibited synergistic action with other antibiotic drugs including neomycin sulfate, ceftriaxone and enrofloxacin. The results obtained in this study suggest that myo-inositol as an efficient adjuvant to antibiotic drugs could be useful in increasing the antimicrobial activity of antibiotic drugs against A. hydrophila infection, and could also be useful to help decrease the occurrence of antibiotic overuse in aquaculture.
Stance Prediction for Russian: Data and Analysis

Stance detection is a critical component of rumour and fake news identification. It involves the extraction of the stance a particular author takes related to a given claim, both expressed in text. This paper investigates stance classification for Russian. It introduces a new dataset, RuStance, of Russian tweets and news comments from multiple sources, covering multiple stories, as well as text classification approaches to stance detection as benchmarks over this data in this language. As well as presenting this openly-available dataset, the first of its kind for Russian, the paper presents a baseline for stance prediction in the language.
Genomic Analysis of Picochlorum Species Reveals How Microalgae May Adapt to Variable Environments

Understanding how microalgae adapt to rapidly changing environments is not only important to science but can help clarify the potential impact of climate change on the biology of primary producers. We sequenced and analyzed the nuclear genome of multiple Picochlorum isolates (Chlorophyta) to elucidate strategies of environmental adaptation. It was previously found that coordinated gene regulation is involved in adaptation to salinity stress, and here we show that gene gain and loss also play key roles in adaptation. We determined the extent of horizontal gene transfer (HGT) from prokaryotes and their role in the origin of novel functions in the Picochlorum clade. HGT is an ongoing and dynamic process in this algal clade with adaptation being driven by transfer, divergence, and loss. One HGT candidate that is differentially expressed under salinity stress is indolepyruvate decarboxylase that is involved in the production of a plant auxin that mediates bacteria-diatom symbiotic interactions. Large differences in levels of heterozygosity were found in diploid haplotypes among Picochlorum isolates. Biallelic divergence was pronounced in P. oklahomensis (salt plains environment) when compared with its closely related sister taxon Picochlorum SENEW3 (brackish water environment), suggesting a role of diverged alleles in response to environmental stress. Our results elucidate how microbial eukaryotes with limited gene inventories expand habitat range from mesophilic to halophilic through allelic diversity, and with minor but important contributions made by HGT. We also explore how the nature and quality of genome data may impact inference of nuclear ploidy.
CORR Insights®: Neoadjuvant Chemotherapy Followed by Delayed Surgery Is it Necessary for All Patients With Nonmetastatic High-Grade Pelvic Osteosarcoma?

Chemotherapy is the single mostimportant factor in the improved survival observed during the last several decades in patients with osteosarcoma; its inclusion in the care of these patients is uncontroversial. In the current study, Xu and colleagues [9] examine the timing of adjuvant chemotherapy in pelvic osteosarcoma and found that neoadjuvant chemotherapy did not alter overall survival or local recurrence compared to early surgery. This result is consistent with similar investigations [3, 5-7]. The conclusion of clinical relevance is that neoadjuvant chemotherapy is an option, not a requirement, for patients with pelvic osteosarcoma. A key potential benefit of chemotherapy prior to surgical resection (neoadjuvant chemotherapy) is that it allows for an assessment of disease response, and as such, is potentially an important predictor of overall survival. Currently, because effective options for patients who respond poorly are limited, this information is mainly useful for prognosis, but has not lead to improved survival in these high-risk patients. The broader issue in this paper is that of deviation from a commonly accepted treatment. In cancer, it is easy to justify more-aggressive management, driven by the allure of improved survival and the comforting appearance of active intervention. It can be exceedingly challenging to advocate for a less-intensive or non-standard approach, which may provide a functional or quality-of-life benefit but carries only the assertion that it is “not inferior” to the standard care. Those who were in conflict with the legacy of the Halsted radical mastectomy know dearly the difficulty in deescalating treatment of a known lethal disease process. Fisher and colleagues [4] eventually performed a definitive clinical trial in favor of less-morbid surgical intervention without decreasing survival or increasing recurrence in breast cancer. In their classic paper, albeit with less methodologic rigor than Fisher and colleagues [4], Simon and colleagues advocated for similar reasons that limb salvage surgery was oncologically equivalent to amputation in osteosarcoma of the distal femur [8]. Ironically, it is from the earliest experience with limb salvage that the paradigmof neoadjuvant chemotherapywas established, the same paradigm brought into question by the authors of the current study.
Invariant Kalman Filtering for Visual Inertial SLAM

Combining visual information with inertial measurements is a popular approach to achieve robust and autonomous navigation in robotics, specifically in GPS-denied environments. In this paper, building upon both the recent theory of Unscented Kalman Filtering on Lie Groups (UKF-LG) and more generally the theory of invariant Kalman filtering (IEKF), an innovative UKF is derived for the monocular visual simultaneous localization and mapping (SLAM) problem. The body pose, velocity, and the 3D landmarks' positions are viewed as a single element of a (high dimensional) Lie group $SE_{2+p}(3)$, which constitutes the state, and where the accelerometers' and gyrometers' biases are appended to the state and estimated as well. The efficiency of the approach is validated both on simulations and on five real datasets.
Copenhagen at CoNLL–SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding

This paper documents the Team Copenhagen system which placed first in the CoNLL--SIGMORPHON 2018 shared task on universal morphological reinflection, Task 2 with an overall accuracy of 49.87. Task 2 focuses on morphological inflection in context: generating an inflected word form, given the lemma of the word and the context it occurs in. Previous SIGMORPHON shared tasks have focused on context-agnostic inflection---the "inflection in context" task was introduced this year. We approach this with an encoder-decoder architecture over character sequences with three core innovations, all contributing to an improvement in performance: (1) a wide context window; (2) a multi-task learning approach with the auxiliary task of MSD prediction; (3) training models in a multilingual fashion.
Programmable True Time Delay Lines Using Integrated Waveguide Meshes

We analyze and explore the potential that waveguide-mesh-based architectures used in programmable photonic integrated circuits can be configured to enable true time optical delay lines, which can find applications in different microwave photonics functionalities, such as beamforming and optical filtering. We also propose and experimentally demonstrate an alternative standalone tunable basic unit (TBU) architecture where its internal coupling device is implemented by means of a dual-drive tunable directional coupler (DD-TDC) that performs independent amplitude beam splitting and phase shifting. Compared to the previous alternatives based on 3-dB balanced Mach–Zehnder interferometers, the DD-TDC reduces by more than two times the insertion losses of TBUs enabling the potential realization of larger meshes with a three-fold enhanced step-time resolution. Bandwidth and robustness analysis are also considered.
A Monocular Vision Sensor-Based Efficient SLAM Method for Indoor Service Robots

This paper presents a new implementation method for efficient simultaneous localization and mapping using a forward-viewing monocular vision sensor. The method is developed to be applicable in real time on a low-cost embedded system for indoor service robots. In this paper, the orientation of a robot is directly estimated using the direction of the vanishing point. Then, the estimation models for the robot position and the line landmark are derived as simple linear equations. Using these models, the camera poses and landmark positions are efficiently corrected by a local map correction method. The performance of the proposed method is demonstrated under various challenging environments using dataset-based experiments using a desktop computer and real-time experiments using a low-cost embedded system. The experimental environments include a real home-like setting. These conditions contain low-textured areas, moving people, or changing environments. The proposed method is also tested using the robotics advancement through web publishing of sensorial and elaborated extensive datasets benchmark dataset.
Factors influencing the data sharing behavior of researchers in sociology and political science

Purpose Open data and data sharing should improve transparency of research. The purpose of this paper is to investigate how different institutional and individual factors affect the data sharing behavior of authors of research articles in sociology and political science. Design/methodology/approach Desktop research analyzed attributes of sociology and political science journals (n=262) from their websites. A second data set of articles (n=1,011; published 2012-2014) was derived from ten of the main journals (five from each discipline) and stated data sharing was examined. A survey of the authors used the Theory of Planned Behavior to examine motivations, behavioral control, and perceived norms for sharing data. Statistical tests (Spearman’s ρ, χ2) examined correlations and associations. Findings Although many journals have a data policy for their authors (78 percent in sociology, 44 percent in political science), only around half of the empirical articles stated that the data were available, and for only 37 percent of the articles could the data be accessed. Journals with higher impact factors, those with a stated data policy, and younger journals were more likely to offer data availability. Of the authors surveyed, 446 responded (44 percent). Statistical analysis indicated that authors’ attitudes, reported past behavior, social norms, and perceived behavioral control affected their intentions to share data. Research limitations/implications Less than 50 percent of the authors contacted provided responses to the survey. Results indicate that data sharing would improve if journals had explicit data sharing policies but authors also need support from other institutions (their universities, funding councils, and professional associations) to improve data management skills and infrastructures. Originality/value This paper builds on previous similar research in sociology and political science and explains some of the barriers to data sharing in social sciences by combining journal policies, published articles, and authors’ responses to a survey.
On Secure Mixed RF-FSO Systems With TAS and Imperfect CSI

In this work, we analyze the secrecy outage performance of a dual-hop relay system composed of multiple-input-multiple-output radio-frequency (RF) links and a free-space optical (FSO) link while a multiple-antenna eavesdropper wiretaps the confidential information by decoding the received signals from the source node. The channel state information (CSI) of the RF and FSO links is considered to be outdated and imprecise, respectively. We propose four transmit antenna selection (TAS) schemes to enhance the secrecy performance of the considered systems. The secrecy outage performance with different TAS schemes is analyzed and the effects of misalignment and detection technology on the secrecy outage performance of mixed systems are studied. We derive the closed-form expressions for probability density function (PDF) and cumulative distribution function (CDF) over Málaga channel with imperfect CSI. Then the closed-form expressions for the CDF and PDF of the equivalent signal-to-noise ratio (SNR) at the legitimate receiver over Nakagami- $m$ and Málaga channels are derived. Furthermore, the bound of the effective secrecy throughput (EST) with different TAS schemes are derived. Besides, the asymptotic results for EST are investigated by exploiting the unfolding of Meijer’s $G$ -function when the electrical SNR of FSO link approaches infinity. Finally, Monte-Carlo simulation results are presented to testify the correctness of the proposed analysis. The results illustrate that outdated CSI shows a strong effect on the secrecy performance of the mixed RF-FSO systems. In addition, increasing the number of antennas at the source cannot significantly enhance the secrecy performance of the considered systems.
The role of percutaneous vacuum‐assisted thrombectomy for intracardiac and intravascular pathology

Vacuum‐assisted thrombectomy (VAT) is a mechanical suction device that can be deployed to aspirate thrombi in the heart and vascular system. Successful percutaneous aspiration of iliocaval, right heart, and pulmonary arterial thrombi have been reported, in addition to the debulking of intravascular and intracardiac masses and vegetations. VAT is indicated for patients who are poor surgical candidates and/or have a contraindication to thrombolysis. This review discusses the mechanism, current results, potential clinical indications, and limitations of VAT for iliocaval and intracardiac mass removal.
Interferon is associated with improved survival for node-positive cutaneous melanoma: a single-institution experience

Aim: We assessed the role of adjuvant interferon on relapse-free survival (RFS), distant metastasis-free survival (DMFS) and overall survival (OS) in node-positive melanoma patients. Methods: We retrospectively reviewed 385 node-positive patients without distant metastatic disease treated from 1998 to 2015. The surgery was therapeutic lymph node dissection (LND, n = 86) or sentinel lymph node biopsy ± completion LND (n = 270). 128 patients (33.2%) received adjuvant interferon. Results: After a median follow-up of 70 months, interferon was associated with improved RFS (hazard ratio [HR]: 0.55; p < 0.001), DMFS (HR: 0.59; p < 0.001) and OS (HR: 0.61; p = 0.003), controlling for tumor and nodal stage, node size, sex, primary site, adjuvant therapy and extracapsular extension. In an exploratory age-matched comparison of patients treated with (n = 67) and without (n = 233) adjuvant immunotherapy, interferon still showed improved RFS, DMFS and OS. Conclusion: Adjuvant interferon appears to improve OS among node-positive melanoma patients in a modern experience, providing context for comparison in the adjuvant therapy landscape.
デイケア利用者のMini Nutritional Assessment(MNA)による調査の検討

Pour une évaluation approfondie, passez aux questions G-R Le patient présente-t-il une perte d’appétit? A-t-il moins mangé ces 3 derniers mois par manque d’appétit, problèmes digestifs, difficultés de mastication ou de déglutition ? 0 = baisse sévère des prises alimentaires 1 = légère baisse des prises alimentaires 2 = pas de baisse des prises alimentaires Perte récente de poids (<3 mois) 0 = perte de poids > 3 kg 1 = ne sait pas 2 = perte de poids entre 1 et 3 kg 3 = pas de perte de poids Motricité 0 = au lit ou au fauteuil 1 = autonome à l’intérieur 2 = sort du domicile Maladie aiguë ou stress psychologique au cours des 3 derniers mois? 0 = oui 2 = non Problèmes neuropsychologiques 0 = démence ou dépression sévère 1 = démence légère 2 = pas de problème psychologique Indice de masse corporelle (IMC) = poids en kg / (taille en m) 0 = IMC <19 1 = 19 ≤ IMC < 21 2 = 21 ≤ IMC < 23 3 = IMC ≥ 23 Combien de véritables repas le patient prend-il par jour ? 0 = 1 repas 1 = 2 repas 2 = 3 repas
FakeNewsNet: A Data Repository with News Content, Social Context and Dynamic Information for Studying Fake News on Social Media

Social media has become a popular means for people to consume news. Meanwhile, it also enables the wide dissemination of fake news, i.e., news with intentionally false information, which brings significant negative effects to the society. Thus, fake news detection is attracting increasing attention. However, fake news detection is a non-trivial task, which requires multi-source information such as news content, social context, and dynamic information. First, fake news is written to fool people, which makes it difficult to detect fake news simply based on news contents. In addition to news contents, we need to explore social contexts such as user engagements and social behaviors. For example, a credible user’s comment that “this is a fake news” is a strong signal for detecting fake news. Second, dynamic information such as how fake news and true news propagate and how users’ opinions toward news pieces are very important for extracting useful patterns for (early) fake news detection and intervention. Thus, comprehensive datasets which contain news content, social context, and dynamic information could facilitate fake news propagation, detection, and mitigation; while to the best of our knowledge, existing datasets only contains one or two aspects. Therefore, in this paper, to facilitate fake news related researches, we provide a fake news data repository FakeNewsNet, which contains two comprehensive datasets that includes news content, social context, and dynamic information. We present a comprehensive description of datasets collection, demonstrate an exploratory analysis of this dataset from different perspectives, and discuss the benefits of FakeNewsNet for potential applications on fake news study on
Identifying psychosocial difficulties of inpatients with substance use disorders: evaluation of the usefulness of the PARADISE24 for clinical practise

Abstract Purpose: Improvements in overall functioning and well-being are important goals in the treatment of substance use disorders. The aim of the current study was to evaluate the usefulness of the PARADISE24 instrument for studying the scope and severity of psychosocial difficulties by comparing the results with other measures in the context of substance use disorders. Materials and methods: This cross-sectional study included two independent inpatient samples. The first sample consisted of 80 interviews including the PARADISE24 and 10 other measures. The second sample consisted of the responses of 1082 inpatients to a self-administered PARADISE24 questionnaire. Results: Inpatients with substance use disorders had experienced a wide range of psychosocial difficulties and the two samples produced similar results. Highest scores were observed for emotional difficulties. The PARADISE24 showed convergent validity with measures of disability and depressive symptoms and discriminant validity with personality traits and environmental factors (i.e., social support and caretaker’s empathy). Psychosocial difficulties were inversely associated with quality of life and self-assessed health. Conclusion: The PARADISE24 provides a wide range of useful information on psychosocial difficulties for clinical work and it can be used as a self-administered questionnaire in the evaluation and treatment of substance use disorders. Implications for rehabilitation Individuals undergoing inpatient treatment for substance use disorders experience various and severe psychosocial difficulties. The PARADISE24 is an evidence-based instrument for assessing the scope and severity of 24 common psychosocial difficulties among neurological and psychiatric disorders. The PARADISE24 also offers a time-efficient method which can be used as a self-administered questionnaire in the context of substance use disorders. Comparison between the PARADISE24 and 10 commonly used measures showed that the PARADISE24 covered a wide variety of clinically relevant issues in one questionnaire.