Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of endometrial preparations and transferred embryo types on pregnancy outcome from patients with advanced maternal age

ABSTRACT We explored the strategy of frozen-thawed embryo transfer (FET) in the women with advanced maternal age (AMA). We first determined the age cut-off point of AMA by retrospective analysis of pregnancy outcomes in the patients undergoing FET. The patients with AMA were divided into 3 groups including natural cycle (NC) group, controlled ovarian stimulation (COS) group, and hormone replacement therapy (HRT) group, and simultaneously were divided into 2 groups including cleavage-stage embryo transfer (CET) group and blastocyst-stage embryo transfer (BET) group. The clinical pregnancy, embryo implantation, abortion and live birth rates were compared between the 3 groups and the 2 groups, respectively. We found that in the women aged 38 years or over, the clinical pregnancy rate and live birth rate were all significantly decreased as compared with the younger than 38-year-old women (all P < 0.05), so the women aged 38 years or over were regarded as the patients with AMA in this study. In the patients with AMA, the clinical pregnancy rate and live birth rate were 22.95% and 18.03% in NC group, 23.68% and 15.79% % in COS group as well as 24.58% and 15.92% in HRT group, and there were no significant differences in the clinical pregnancy rate and live birth rate between the 3 groups. However, the clinical pregnancy rate (42.96% vs 15.87%) and embryo implantation rate (32.26% vs 9.67%) were all significantly higher in the BET group than in the CET group (all P < 0.01). We conclude that in the women aged 38 years or over, the choice of endometrial preparation protocols may depend on the individual specific conditions because the endometrial preparation protocols do not affect FET outcome, but BET can obtain better FET outcomes as compared with CET. Abbreviations: AMA: advanced maternal age; FET: frozen-thawed embryo transfer; NC: natural cycle; COS: controlled ovarian stimulation; HRT: hormone replacement therapy; CET: cleavage-stage embryo transfer; BET: blastocyst-stage embryo transfer; LH: luteinizing hormone; HCG: human chorionic gonadotropin; HMG: human menopausal gonadotropin; FSH: follicle-stimulating hormone; BMI: body mass index
Medication adherence assessment practices in dialysis settings: A survey of renal nurses’ perceptions

AIMS AND OBJECTIVES To measure renal nurses' perceptions on assessing medication adherence in patients undergoing dialysis. BACKGROUND Renal nurses play a vital role in caring for patients undergoing dialysis. Despite the high prevalence of medication nonadherence in chronic dialysis patients, little is known about renal nurses' perceptions and current adherence assessment practices. DESIGN A cross-sectional survey. METHODS Participants completed an online survey between March-May 2016. Five psychometric scales were used to measure perception on prevalence and contributors of nonadherence, effective methods of assessment, barriers to assessment and confidence to assess adherence. The survey also captured current adherence assessment practices using a 4-point graded response (1 = do not practice at all to 4 = practice for every patient). RESULTS A total of 113 dialysis nurses completed the survey. The majority agreed that patients in their unit are nonadherent to their medicines (74.5%, n = 82; median = 8). Most nurses agreed that having dedicated professionals conducting medication history interviews can be effective in identifying nonadherence (88.9%, n = 96; median = 8). Objective assessment through blood results was the most frequently used method to determine nonadherence (83.2%, n = 89), with little attention being paid to patients' self-reports of adherence (55.1%, n = 59). Time constraints, administrative support and patients' disinterest in discussing medication-related issues with the nurses were perceived as barriers to assessing adherence. CONCLUSIONS Patient self-reported measures to assess adherence were underutilised by the renal nurses, whereas objective blood monitoring was routinely used. Overcoming dialysis nurses' work-related barriers may facilitate the effective monitoring and promotion of medication adherence in chronic dialysis patients. RELEVANCE TO CLINICAL PRACTICE Results from this study emphasise the need for proper assessment of dialysis patient's medication-taking behaviour during routine dialysis to ensure the benefits of prescribed therapies.
The Conceptualization of Team Flow

ABSTRACT Despite the noted potential for team flow to enhance a team's effectiveness, productivity, performance, and capabilities, studies on the construct in the workplace context are scarce. Most research on flow at the group level has been focused on performance in athletics or the arts, and looks at the collective experience. But, the context of work has different parameters, which necessitate a look at individual and team level experiences. In this review, we extend current theories and essay a testable, multilevel model of team flow in the workplace that includes its likely prerequisites, characteristics, and benefits.
ImageSem at ImageCLEF 2018 Caption Task: Image Retrieval and Transfer Learning

This paper presents the participation of the Image Semantics group (ImageSem) of the Institute of Medical Information at the ImageCLEF 2018 caption task. We participated in both of the concept detection and the caption prediction tasks, with submitting 15 runs in total. In this study, we applied LIRE, an open source Lucene Image Retrieval, to index 222,314 images in training and 9,938 images in test sets. In concept detection subtask, we retrieved the similar images in the training set and applied Latent Dirichlet Allocation (LDA) for clustering concepts of the similar images. The transfer learning method was integrated to solve muti-label annotation in the concept detection task. In caption prediction, we used image retrieval strategies by tuning the parameters: the top similar images and number of candidate concepts. In the evaluation, ImageSem achieved the best F1 Score of 0.0928 in the concept detection subtask and the Mean BLEU score of 0.2501 in the caption prediction subtask.
Predictive Low-Glucose Suspend Reduces Hypoglycemia in Adults, Adolescents, and Children With Type 1 Diabetes in an At-Home Randomized Crossover Study: Results of the PROLOG Trial

OBJECTIVE This study evaluated a new insulin delivery system designed to reduce insulin delivery when trends in continuous glucose monitoring (CGM) glucose concentrations predict future hypoglycemia. RESEARCH DESIGN AND METHODS Individuals with type 1 diabetes (n = 103, age 6–72 years, mean HbA1c 7.3% [56 mmol/mol]) participated in a 6-week randomized crossover trial to evaluate the efficacy and safety of a Tandem Diabetes Care t:slim X2 pump with Basal-IQ integrated with a Dexcom G5 sensor and a predictive low-glucose suspend algorithm (PLGS) compared with sensor-augmented pump (SAP) therapy. The primary outcome was CGM-measured time <70 mg/dL. RESULTS Both study periods were completed by 99% of participants; median CGM usage exceeded 90% in both arms. Median time <70 mg/dL was reduced from 3.6% at baseline to 2.6% during the 3-week period in the PLGS arm compared with 3.2% in the SAP arm (difference [PLGS − SAP] = −0.8%, 95% CI −1.1 to −0.5, P < 0.001). The corresponding mean values were 4.4%, 3.1%, and 4.5%, respectively, represent-ing a 31% reduction in the time <70 mg/dL with PLGS. There was no increase in mean glucose concentration (159 vs. 159 mg/dL, P = 0.40) or percentage of time spent >180 mg/dL (32% vs. 33%, P = 0.12). One severe hypoglycemic event occurred in the SAP arm and none in the PLGS arm. Mean pump suspension time was 104 min/day. CONCLUSIONS The Tandem Diabetes Care Basal-IQ PLGS system significantly reduced hypoglycemia without rebound hyperglycemia, indicating that the system can benefit adults and youth with type 1 diabetes in improving glycemic control.
Twitter Text and Image Gender Classification with a Logistic Regression N-Gram Model: Notebook for PAN at CLEF 2018

We present our participation in the PAN 2018 Author Profiling shared task, classifying authors on gender for English, Arabic and Spanish. We participated in all sub-tasks and propose a system for classification with text, images and the combination of those two. Our final submitted system is a Logistic Regression classifier that uses word and character n-grams as textual features and a set of automatically derived image-based features such as the presence, proportion and number of faces to detect selfies as well as the faces’ emotions and gender. We experimented with word embeddings, which negatively affected our system’s performance. Our cross-validated training results shows slight improvements in performance for Arabic and Spanish when image-based features are added to text-based features. Our highest scores on the PAN 2018 test dataset are accuracies of 81.2% for English using only text-based features, 78.7% for Arabic using both textand image-based features and 80.3% for Spanish using only text-based features. Overall, we finished 6 in the global ranking with an average accuracy for our text and image combination system of 79.6%.
ER Stress Activates the TOR Pathway through Atf6

Cellular signaling pathways are often interconnected. They accurately and efficiently regulate essential cell functions such as protein synthesis, cell growth, and survival. The target of rapamycin (TOR) signaling pathway and the endoplasmic reticulum (ER) stress response pathway regulate similar cellular processes. However, the crosstalk between them has not been appreciated until recently and the detailed mechanisms remain unclear. Here, we show that ER stress-inducing drugs activate the TOR signaling pathway in S2R+ Drosophila cells. Activating transcription factor 6 (Atf6), a major stress-responsive ER transmembrane protein, is responsible for ER stress-induced TOR activation. Supporting the finding, we further show that knocking down of both site-1/2 proteases (S1P/S2P), Atf6 processing enzymes, are necessary to connect the two pathways.
Muscle and tendon lengthening behaviour of the medial gastrocnemius during ankle joint rotation in children with cerebral palsy

What is the central question of this study? Which structures of the medial gastrocnemius muscle–tendon unit contribute to its lengthening during joint rotation and thus receive the stretching stimulus? What is the main finding and its importance? We show, for the first time, that muscle and tendon lengthen in a different manner in children with cerebral palsy compared with typically developing children during a similar amount of muscle–tendon unit lengthening or joint rotation. This indicates possible differences in mechanical muscle and tendon properties attributable to cerebral palsy, which are not evident by assessment of muscle function at the level of a joint.
The impact of residential medication management reviews (RMMRs) on medication regimen complexity

ABSTRACT Objectives: The primary objective of this study was to investigate the impact of RMMRs on medication regimen complexity, as assessed by a validated measure. Methods: Retrospective analysis of RMMRs pertaining to 285 aged care residents aged ≥ 65 years in Sydney, Australia. Medication regimen complexity was measured using the Medication Regimen Complexity Index (MRCI) at baseline, after pharmacists’ recommendations (assuming that all of the pharmacists’ recommendations were accepted by the General Practitioner (GP)), and after the actual uptake of pharmacists’ recommendations by the GP. Differences in the regimen complexity was measured using the Wilcoxon sign rank test. Results: Pharmacists made 764 recommendations (average 2.7 recommendations per RMMR), of which 569 (74.5%) were accepted by GPs. The median MRCI at baseline in the sample was 25.5 (IQR = 19.0–32.5). No statistically significant differences were demonstrated in the MRCI scores after pharmacists’ recommendations (p = 0.53) or after GPs’ acceptance of these recommendations (p = 0.07) compared to the baseline. Conclusion: Our study revealed high acceptance of pharmacists’ recommendations by GPs. This suggests that RMMRs are useful for identifying and resolving drug-related issues among residents of ACFs. However, our study failed to show a significant effect of RMMRs in reducing the medication regimen complexity, as measured by the MRCI. Further studies are needed to establish the association of medication regimen complexity and clinical outcomes in residents of ACFs.
A Hybrid Bi-LSTM-CRF Model to Recognition of Disabilities from Biomedical Texts

This paper describes the UC3M 018 1 participation. The model uses a two-phase model based on two layers of Bidirectional LSTM (Long Short-Term Memory) to capture context information and CRF (Conditional Random Fields) to obtain the correlation of the information between the labels. An interesting detail is that the authors jointly deal with entity detection and negation detection, which makes this approach a seq2seq multilabel classification problem. The system was presented in the task IberEval 2018 of Disabilities Annotation, achieving a satisfactory performance in the 2nd place in terms of F-Score (68.2 %) for the English task and (65.3%) for the Spanish task.
Author Profiling: Gender Prediction from Tweets and Images: Notebook for PAN at CLEF 2018

Author profiling deals with identification of various details about the author of the text (e.g., age, cultural background, gender, native language, personality). In this paper, we describe the participation of our teams (yigal18 and miller18, both teams contain the same people, but in another order) in the PAN 2018 shared task on author profiling, identifying authors’ gender where for each author, 100 tweets and 10 images are provided. The authors were grouped by the language of their tweets: English, Spanish, and Arabic. In this paper, we describe our pre-processing, feature sets, machine learning methods and accuracy results. The best results using the textual features were achieved using the MLP method after applying the L normalization and using 9,000 word unigrams for English, 10,000 word unigrams and one orthographic feature for Spanish, and 7,000 word unigrams and one orthographic feature for Arabic. We also tried various additional feature sets, including style-based feature sets. In most of the cases, these features did not improve the results and in a few cases even hurt the results. The best result (61.54%) for the visual features was obtained by the LR method using all the features (SIFT & Color & VGG) and the best basic feature set is the VGG. The best result for the combined features was achieved using model2 (miller18) with 0.75 as a weight to the best textual model and a weight of 0.25 for NN Classifier (Keras) using only the 1000 VGG features.
Intrinsic Dynamic Nature of Neutral Hydrogen Bonds Elucidated with QTAIM Dual Functional Analysis: Role of the Compliance Force Constants and QTAIM‐DFA Parameters in Stability

Abstract Invited for this month's cover picture is Professor Satoko Hayashi's group from the Faculty of Systems Engineering at Wakayama University (Japan). The cover picture shows Japanese lanterns for the Bon festival dance dangling on two ropes, and several molecular graphs with contour maps for hydrogen bonds (HBs) emerging from the lanterns. The curves of the ropes may correspond to the ΔE (energy of formation) and C ij (compliance constant) values for HBs, for which the product will be constant. Read the full text of their Full Paper at https://doi.org/10.1002/open.201800051.
Dreaming of a learning task is associated with enhanced memory consolidation: Replication in an overnight sleep study

Sleep following learning benefits memory. One model attributes this effect to the iterative “reactivation” of memory traces in the sleeping brain, demonstrated in animal models. Although technical limitations prohibit using the same methods to observe memory reactivation in the human brain, the study of mental activity during sleep provides an alternative method of observing memory activation during sleep. In fact, the content of dream experience may reflect the process of memory reactivation and consolidation in the sleeping brain. In line with this hypothesis, we previously reported that dreaming about a spatial learning task during a nap strongly predicts subsequent performance improvements. Here, we replicate this observation in an overnight sleep study, for the first time demonstrating that pre‐sleep training on a virtual maze navigation task is reflected in dreams reported from all phases of sleep, with unambiguous representation of the task in dream content associated with improved next‐morning performance. These observations are consistent with reactivation‐based models of memory consolidation in sleep, confirming our earlier finding that the cognitive‐level activation of recent experience during sleep is associated with subsequent performance gains.
Maternal uniparental isodisomy of chromosome 6 unmasks a novel variant in TULP1 in a patient with early onset retinal dystrophy

Purpose Inherited retinal dystrophies are a clinically and genetically heterogeneous group of disorders. Molecular diagnosis has proven utility for affected individuals. In this study, we report an individual enrolled in the Australian Inherited Retinal Disease Registry and DNA Bank diagnosed with clinical features overlapping between Leber congenital amaurosis and retinitis pigmentosa. Methods DNA from the proband was sequenced using a gene panel for inherited retinal disorders, and a single nucleotide polymorphism (SNP) array was conducted to detect the presence of deletions and uniparental disomy. Results We identified a novel homozygous variant (c.524dupC, p.(Pro176ThrfsTer7)) in TULP1 resulting from maternal uniparental isodisomy of chromosome 6. The patient had clinical features consistent with biallelic pathogenic variants in TULP1, including congenital nystagmus, night blindness, non-recordable electroretinogram, mild myopia, and mild peripheral pigmentary changes in the fundus. Conclusions This is the first report of uniparental disomy 6 and a homozygous variant in TULP1 associated with a rod-cone dystrophy. Molecular diagnosis of inherited retinal dystrophies is essential to inform the mode of transmission and clinical management, and to identify potential candidates for future gene-specific therapies.
The Euphausia superba transcriptome database, SuperbaSE: An online, open resource for researchers

Abstract Antarctic krill (Euphausia superba) is a crucial component of the Southern Ocean ecosystem, acting as the major link between primary production and higher trophic levels with an annual predator demand of up to 470 million tonnes. It also acts as an ecosystem engineer, affecting carbon sequestration and recycling iron and nitrogen, and has increasing importance as a commercial product in the aquaculture and health industries. Here we describe the creation of a de novo assembled head transcriptome for E. superba. As an example of its potential as a molecular resource, we relate its exploitation in identifying and characterizing numerous genes related to the circadian clock in E. superba, including the major components of the central feedback loop. We have made the transcriptome openly accessible for a wider audience of ecologists, molecular biologists, evolutionary geneticists, and others in a user‐friendly format at SuperbaSE, hosted at http://www.krill. le.ac. uk.
Width-Independence Beyond Linear Objectives: Distributed Fair Packing and Covering Algorithms

Fair allocation of resources has deep roots in early philosophy, and has been broadly studied in political science, economic theory, operations research, and networking. Over the past decades, an axiomatic approach to fair resource allocation has led to the general acceptance of a class of $\alpha$-fair utility functions parametrized by a single inequality aversion parameter $\alpha \in [0, \infty]$. In theoretical computer science, the most well-studied examples are linear utilities ($\alpha = 0$), proportionally fair or Nash utilities ($\alpha = 1$), and max-min fair utilities ($\alpha \rightarrow \infty$). In this work, we consider general $\alpha$-fair resource allocation problems, defined as the maximization of $\alpha$-fair utility functions under packing constraints. We give improved distributed algorithms for constructing $\epsilon$-approximate solutions to such problems. Our algorithms are width-independent, that is, their running times depend only poly-logarithmically on the largest entry of the constraint matrix, and closely match the state-of-the-art guarantees for distributed algorithms for packing linear programs -- the case $\alpha = 0. $ Previously known width-independent algorithms for $\alpha$-fair resource allocation have convergence times with much worse dependence on $\epsilon$ and $\alpha$. Our analysis leverages the Approximate Duality Gap framework of Diakonikolas and Orecchia to obtain better algorithms with a more streamlined analysis. Finally, we introduce a natural counterpart of $\alpha$-fairness for minimization problems and motivate its usage in the context of fair task allocation. This generalization yields $\alpha$-fair covering problems, for which we provide the first width-independent nearly-linear-time approximate solvers by reducing their analysis to the $\alpha < 1$ case of the $\alpha$-fair packing problem.
The effectiveness of fishery net dips: Advice for the improvement of biosecurity measures.

Disease poses a major threat to aquaculture and commercial and recreational fisheries globally. Biosecurity measures have been implemented; however, empirical evidence of their efficacy in situ is lacking. Here, we present the results from a study conducted to examine the effectiveness of disinfectant net dips. Samples were collected from disinfectant net dips at 25 recreational fisheries in south-west England and assessed to determine (a) the level of bacterial contamination and (b) the reduction in titre of a target virus (infectious pancreatic necrosis virus, IPNV) following a contact time of 2 and 5 min. In addition, the study examined the reduction in target virus titre following exposure to laboratory prepared Virkon® , representing "clean," "dirty" and "diluted and dirty" conditions, for 2 and 5 min. Bacterial contamination was high in 64% of disinfectant samples, and, 76% of disinfectant samples did not effectively reduce the target virus titre in 2 or 5 min. Virus titre was successfully reduced following exposure to laboratory prepared Virkon® for 2 or 5 min, although dilution and contamination reduced the effectiveness. These results suggest that disinfectant net dips may not be working effectively on a high proportion of fishery sites. We provide recommendations for improving biosecurity.