Miracle-dz/UniFAR-FTUs huggingface dataset:
Association between percent decline in serum total homocysteine and risk of first stroke

Objective: To examine whether a change in serum total homocysteine (tHcy) levels is associated with first stroke risk in a post hoc analysis of the China Stroke Primary Prevention Trial (CSPPT). Methods: We analyzed 16,867 participants of the CSPPT with tHcy measurements at both baseline and exit visits. The primary outcome was first stroke. The secondary outcome was a composite of cardiovascular events consisting of cardiovascular death, myocardial infarction, and stroke. The percent decline in tHcy was calculated as [(baseline tHcy − exit tHcy)/baseline tHcy × 100]. Results: Over the median treatment duration of 4.5 years, participants who developed a first stroke had a significantly lower percent decline in tHcy (β = −5.7; 95% confidence interval [CI] −8.8 to −2.6) compared to their counterparts. A 20% tHcy decline was associated with a reduction in stroke risk of 7% (hazard ratio [HR] 0.93; 95% CI 0.90–0.97). When percent decline in tHcy was assessed as tertiles, a significantly lower stroke risk was found in those in tertiles 2–3 (HR 0.79; 95% CI 0.64–0.97) compared with participants in tertile 1. Similar results were observed for the composite of cardiovascular events. The beneficial effect associated with greater tHcy reduction was observed across strata for age, sex, treatment group (with vs without folic acid), MTHFR C677T genotypes, baseline tHcy and serum folate levels, and blood pressure control. Conclusions: Percent lowering in tHcy was significantly associated with a reduction in first stroke risk in Chinese adults with hypertension, and if further confirmed, may serve as a useful indicator for folic acid treatment efficacy on stroke prevention. Clinicaltrials.gov identifier: NCT00794885.
In Vitro and In Vivo Studies of the Trypanocidal Effect of Novel Quinolines

ABSTRACT Therapies for human African trypanosomiasis and Chagas disease, caused by Trypanosoma brucei and Trypanosoma cruzi, respectively, are limited, providing minimal therapeutic options for the millions of individuals living in very poor communities. Here the effects of 10 novel quinolines are evaluated in silico and by phenotypic studies using in vitro and in vivo models. Absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties revealed that most molecules did not infringe on Lipinski's rules, which is a prediction of good oral absorption. These quinolines showed high probabilities of Caco2 permeability and human intestinal absorption and low probabilities of mutagenicity and of hERG1 inhibition. In vitro screens against bloodstream forms of T. cruzi demonstrated that all quinolines were more active than the reference drug (benznidazole [Bz]), except for DB2171 and DB2192, with five (DB2187, DB2131, DB2186, DB2191, and DB2217) displaying 50% effective concentrations (EC50s) of <3 μM (4-fold lower than that of Bz). Nine quinolines were more effective than Bz (2.7 μM) against amastigotes, showing EC50s ranging from 0.6 to 0.1 μM. All quinolines were also highly active in vitro against African trypanosomes, showing EC50s of ≤0.25 μM. The most potent and highly selective candidates for each parasite species were tested in in vivo models. Results for DB2186 were promising in mice with T. cruzi and T. brucei infections, reaching a 70% reduction of the parasitemia load for T. cruzi, and it cured 2 out of 4 mice infected with T. brucei. DB2217 was also active in vivo and cured all 4 mice (100% cure rate) with T. brucei infection.
Dependent landmark drift: robust point set registration with a Gaussian mixture model and a statistical shape model

The goal of point set registration is to find point-by-point correspondences between point sets, each of which characterizes the shape of an object. Because local preservation of object geometry is assumed, prevalent algorithms in the area can often elegantly solve the problems without using geometric information specific to the objects. This means that registration performance can be further improved by using prior knowledge of object geometry. In this paper, we propose a novel point set registration method using the Gaussian mixture model with prior shape information encoded as a statistical shape model. Our transformation model is defined as a combination of the similar transformation, motion coherence, and the statistical shape model. Therefore, the proposed method works effectively if the target point set includes outliers and missing regions, or if it is rotated. The computational cost can be reduced to linear, and therefore the method is scalable to large point sets. The effectiveness of the method will be verified through comparisons with existing algorithms using datasets concerning human body shapes, hands, and faces.
Patients' and health care professionals' perceptions of blood transfusion: a systematic review

Blood transfusions are frequently prescribed for acute and chronic conditions; however, the extent to which patients' and health care professionals' (HCPs') perceptions of transfusion have been investigated is unclear. Patients' treatment perceptions influence how patients cope with illnesses or symptoms. HCPs' perceptions may influence treatment decision making.
Acute lymphoblastic leukemia and lymphoblastic lymphoma in adolescents and young adults

Compared to younger and older age groups, the incidence of acute lymphoblastic leukemia (ALL) and lymphoblastic lymphoma (LBL) has increased more in the adolescent and young adult (AYA) population, the cause of which is unknown. As of the last decade, only half of the AYA patients with these diseases were surviving 10 years. Strong evidence exists that favors “pediatric” treatment regimens for AYAs compared to “adult” treatment regimens in terms of survival rates, hospitalization time, toxicities, late effects, and quality of life both during and after treatment. Targeted agents are clinically accessible for certain subsets of patients with Philadelphia‐like ALL, the incidence of which peaks in AYAs. Treatment teams must appreciate the complex psychosocial underpinnings in these patients in order to maximize compliance with the prolonged and complex treatment plans during the AYA years.
Host availability affects the interaction between pupal parasitoid Coptera haywardi (Hymenoptera: Diiapridae) and larval–pupal parasitoid Diachasmimorpha longicaudata (Hymenoptera: Braconidae)

Abstract The use of multiple species in biological control programmes is controversial when interactions among them are not fully understood. We determined the response of the pupal parasitoid Coptera haywardi (Oglobin) to different availability of Anastrepha ludens (Loew) pupae previously parasitized or not by larval–pupal Diachasmimorpha longicaudata (Ashmead). The two types of pupae were exposed at different ages and proportions to different numbers of C. haywardi females for 48 h. The performance of C. haywardi adults emerging from parasitized and unparasitized pupae was measured. Coptera haywardi prefers to attack unparasitized A. ludens pupae rather than pupae parasitized by D. longicaudata. However, when the availability of unparasitized pupae was low or the number of foraging females was high, C. haywardi competed against early immature stages of the D. longicaudata, or hyperparasitized, feeding directly on the advanced-immature developmental stages of the early acting species. Adults of C. haywardi emerging as hyperparasitoids were no different in size, fecundity and longevity from those emerging as primary parasitoids. Our data suggest that simultaneous use of these species in augmentative biological control projects may be feasible but should be carefully planned in order to avoid any detrimental effect of its interaction.
Unsupervised learning of fundamental emotional states via word embeddings

This paper presents a novel approach for the detection of emotional states from textual data. The considered sentiments are those known as Ekman's basic emotions (Anger, Disgust, Sadness, Happiness, Fear, Surprise). The method is completely unsupervised and it is based on the concept of word embeddings. This technique permits to represent a single word through a vector, giving a methematical representation of the word's semantic. The focus of the work is to assign the percentage of the aforementioned emotions to short sentences. The method has been tested on a collection of Twitter messages and on the SemEval 2007 news headlines dataset. The entire period is expressed as the mean of the word's vectors that compose the phrase, after preprocessing steps. The sentence representation is finally compared with each emotion's word vector, to find the most representative with respect to the sentence's vector.
Genome mining, in silico validation and phase selection of a novel aldo-keto reductase from Candida glabrata for biotransformation

ABSTRACT Previously, we published cloning, overexpression, characterization and subsequent exploitation of a carbonyl reductase (cr) gene, belonging to general family aldo-keto reductase from Candida glabrata CBS138 to convert keto ester (COBE) to a chiral alcohol (ethyl-4-chloro-3-hydroxybutanoate or CHBE). Exploiting global transcription factor CRP, rDNA and transporter engineering, we have improved batch production of CHBE by trinomial bioengineering. Herein, we present the exploration of cr gene in Candida glabrata CBS138 through genome mining approach, in silico validation of its activity and selection of its biocatalytic phase. For exploration of the gene under investigation, 3 template genes were chosen namely Saccharomyces cerevisae YDR541c, YGL157w and YOL151w. The CR showed significant homology match, overlapping of substrate binding site and NADPH binding site with the template proteins. The binding affinity of COBE toward CR (−4.6 Kcal/ mol) was found higher than that of the template proteins (−3.5 to −4.5 Kcal/ mol). Biphasic biocatalysis with cofactor regeneration improved product titer 4∼5 times better than monophasic biotransformation. Currently we are working on DNA Shuffling as a next level of strain engineering and we demonstrate this approach herein as a future strategy of biochemical engineering.
Assessment of biologically aggressive, recurrent glandular odontogenic cysts for mastermind‐like 2 (MAML2) rearrangements: histopathologic and fluorescent in situ hybridization (FISH) findings in 11 cases

BACKGROUND Glandular odontogenic cyst (GOC) demonstrates a significant predilection toward localized biologic aggressiveness and recurrence. GOC shares certain histopathologic features with intraosseous mucoepidermoid carcinoma (IMEC). The current investigation evaluates a group of recurrent, biologically aggressive GOCs to determine whether any cases demonstrated unique histologic features or mastermind-like2 (MAML2) rearrangements common to IMEC. METHODS Microscopic slides from 11 previously diagnosed GOCs were stained with hematoxylin and eosin and assessed by 2 study participants for 10 classic histopathologic features required to establish a diagnosis of GOC. Cases were evaluated utilizing break-apart fluorescent in situ hybridization (FISH) analysis for the presence of MAML2 gene rearrangements. Clinical and demographic data on all patients were recorded. RESULTS The mean age for patients included in the study was 55.27 years with a range of 36 to 72 years. The most common presenting symptom was a jaw expansion, and all cysts presented initially as a unilocular or multilocular radiolucency. Cysts displayed a minimum of 6 of 10 histologic parameters necessary for a diagnosis of GOC. One case demonstrated MAML2 rearrangements by FISH. That case also showed marked ciliation of cyst-lining epithelial cells and extensive mucous-secreting goblet cell proliferation. CONCLUSION Findings in the current study are in concert with previous investigations, and although this study finds only limited molecular evidence to support the premise that recurrent biologically aggressive GOCs are a precursor to IMEC, detection of MAML2 rearrangements in 1 case suggests that such a theoretic transition, while rare, is possible.
Feasibility Testing a Family-Level Intervention to Prevent Risky Sex Behaviors Among Middle School–Age Latinas

Purpose: In this article, we report a pilot study that tested the feasibility and initial efficacy of a culturally, linguistically, and developmentally tailored risky sex prevention intervention for middle school–age Latinas and their mothers. Design: We used a one-group pre-test, post-test, and 3-month post-intervention follow-up design. Data were collected at three points on aspects of the girls’ communication, beliefs, and behaviors. Results: Promising results included improvements in girl’s self-efficacy regarding condom communication and condom consistent use, and in mother–teen sexual risk communication. There were also trends in demonstration of fewer risky sex behaviors. Discussion: These findings suggest that the “Latina–Girls Empowered through Mind and Mission” (L-GEMM) intervention for young Latinas and their mothers is feasible and warrants further testing. Implications: Nurses are uniquely positioned to deliver risky sex preventive interventions to young Latinas. Including mothers and tailoring interventions to build on cultural strengths are important for success.
System level SEUs propagation analysis via data flow-based reduction and quantitative model checking

Reliability is considered as one of the primary design requirements in embedded systems. Soft errors induced by radiation jeopardize system performance and hence system reliability especially in nowadays technology. CMOS integrated circuits have become more vulnerable to soft errors as transistor size continues shrinking with technology development. Addressing reliability issues due to soft errors at an early stage becomes an essential step to reduce the mitigation cost in the following stages. In this paper, we propose a methodology to analyze soft errors due to Single Event Upsets (SEUs) at the system level. SEUs occurrence and propagation are modeled and analyzed based on Markov decision process and probabilistic model checking. The proposed technique has high scalability by reducing the complexity of the Data Flow Graph (DFG) representation of the system. The proposed technique is proven to provide more accurate results regarding the estimation of the fault propagation rate. FIR filter is used as a case study to evaluate the validity of our approach in providing more accurate fault propagation rate. The DFGs of different orders of different sizes/orders of the FIR-filters are constructed and modeled using PRISM probabilistic model checker. This technique provides an improvement in terms of analysis time with an average speedup of 18.5 times.
Vicingus serpentipes gen. nov., sp. nov., a new member of the Flavobacteriales from the North Sea.

A new member of the Flavobacteriales was isolated from the surface of a stone collected on the German North Sea shore. The bacterium, strain ANORD5T, is a mesophilic, chemoheterotrophic aerobic, typical marine bacterium. Optimal growth was observed at 20-30 °C, pH 7.0-8.5 and 1-2 % sea salt. The 16S rRNA gene sequence revealed a distant relationship with the representatives of the Cryomorphaceae, with less than 90 % sequence similarity. Strain ANORD5T forms a cluster together with Owenweeksia hongkongensis UST20020801T (89.9 %), Cryomorpha ignava 1-22T (87.9 %), Luteibaculum oceani CC-AMWY-103BT (88.1 %) and Phaeocystidibacter luteus PG2S01T (87.3 %). Strain ANORD5T has a low DNA G+C content (31 mol%). Based on morphological, physiological and phylogenetic data, strain ANORD5T is considered a type strain of a new species and a new genus of the family Cryomorphaceae for which the name Vicingus serpentipes is proposed. The type strain is ANORD5T (=NCIMB 15042T=DSM 103558T=MTCC 12686T).
Deformation estimation of a plate spring using asymmetric and symmetric conductive patterns

Plate springs are thin and light and are widely used in various mechanisms. The design and analysis of plate springs have been adequately explored in previous research; however, reports related to sensing methods of plate-spring deformation or force are scarce. In this paper, a novel method for estimating the deformation of a plate spring using asymmetric and symmetric conductive patterns is presented. When the plate spring is deformed, each pattern's cross-sectional area and length change, which in turn changes their electrical resistance. The shapes of the two patterns differ; thus, the characteristics of the change in resistance of the two conductive patterns differ and the deformation of the plate spring can be estimated from these resistances. By applying the variational principle with constraint conditions to the conductive pattern's resistances, we calculated the deformation of a plate spring. The results of verification experiments revealed that the deformations estimated using the proposed method coincided with the actual deformations.
Proanthocyanidin‐rich Pinus radiata bark extract inhibits mast cell‐mediated anaphylaxis‐like reactions

Mast cells play a critical role in the effector phase of immediate hypersensitivity and allergic reactions. Pinus radiata bark extract exerts multiple biological effects and exhibits immunomodulatory and antioxidant properties. However, its role in mast cell‐mediated anaphylactic reactions has not been thoroughly investigated. In this study, we examined the effects of proanthocyanidin‐rich water extract (PAWE) isolated from P. radiata bark on compound 48/80‐induced or antidinitrophenyl (DNP) immunoglobulin E (IgE)‐mediated anaphylaxis‐like reactions in vivo. In addition, we evaluated the mechanism underlying the inhibitory effect of PAWE on mast cell activation, with a specific focus on histamine release, using rat peritoneal mast cells. PAWE attenuated compound 48/80‐induced or anti‐DNP IgE‐mediated passive cutaneous anaphylaxis‐like reactions in mice, and it inhibited histamine release triggered by compound 48/80, ionophore A23187, or anti‐DNP IgE in rat peritoneal mast cells in vitro. Moreover, PAWE suppressed compound 48/80‐elicited calcium uptake in a concentration‐dependent manner and promoted a transient increase in intracellular cyclic adenosine‐3′,5′‐monophosphate levels. Together, these results suggest that proanthocyanidin‐rich P. radiata bark extract effectively inhibits anaphylaxis‐like reactions.
Dual institution experience of extranodal marginal zone lymphoma reveals excellent long‐term outcomes

Extranodal marginal zone lymphoma (EMZL) is a B‐cell lymphoma arising from mucosa‐associated lymphoid tissue (MALT). The disease characteristics, clinical course and treatment vary considerably based on site of involvement. Because long‐term outcome data for EMZL are limited, we sought to describe the clinical details of a large number of patients with EMZL evaluated at the Case Comprehensive Cancer Center over a 12‐year period to identify prognostic markers including the impact of site of involvement. We identified 211 cases of EMZL involving the stomach (30%), ocular adnexa (19%), lungs (16%) and intestines (9%). Initial treatment included antibiotics (18%), radiation (21%), rituximab (20%), chemotherapy (3%), rituximab + chemotherapy (7%), surgery (17%) or observation (8%). After a median follow‐up of 44·3 months (range 2·2–214·9), median progression‐free survival (PFS) was 68·2 months (95% confidence interval [CI] 54·5–111·3) and median overall survival (OS) has not been reached. Age >60 years, elevated lactate dehydrogenase level (LDH), ≥4 lymph node groups involvement, and high follicular lymphoma international prognostic index (FLIPI) were associated with inferior PFS/OS. In summary, patients with EMZL have excellent prognosis with median OS in excess of 10 years. Age, elevated LDH, advanced disease, and high FLIPI score are associated with worse outcomes.
Persistent Pandemic Lineages of Uropathogenic Escherichia coli in a College Community from 1999 to 2017

ABSTRACT The incidence of drug-resistant community-acquired urinary tract infections (CA-UTI) continues to increase worldwide. In 1999 to 2000, a single lineage of uropathogenic Escherichia coli (UPEC) sequence type 69 (ST69) caused 51% of trimethoprim-sulfamethoxazole-resistant UTI in a Northern California university community. We compared the clonal distributions of UPEC and its impact on antimicrobial resistance prevalence in the same community during two periods separated by 17 years. We analyzed E. coli isolates from urine samples from patients with symptoms of UTI who visited a health service between September 2016 and May 2017 and compared them to UPEC isolates collected similarly between October 1999 and March 2000. Isolates were tested for antimicrobial drug susceptibility and genotyped by multilocus sequence typing. In 1999 to 2000, strains belonging to ST95, ST127, ST73, ST69, ST131, and ST10 caused 125 (56%) of 225 UTI cases, while the same STs caused 148 (64%) of 233 UTI cases in 2016 to 2017. The frequencies of ampicillin resistance and ciprofloxacin resistance rose from 24.4% to 41.6% (P < 0.001) and from 0.9% to 5.1% (P < 0.003), respectively. The six STs accounted for 78.6% and 72.7% of these increases, respectively. Prevalence of drug-resistant UTI in this community appears to be largely influenced by a small set of dominant UPEC STs circulating in the same community 17 years apart. Further research to determine the origin and reasons for persistence of these dominant genotypes is necessary to combat antimicrobial-resistant CA-UTI.
An Alternative Method for Understanding User-Chosen Passwords

We present in this paper an alternative method for understanding user-chosen passwords. In password research, much attention has been given to increasing the security and usability of individual passwords for common users. Few of them focus on the relationships between passwords; therefore we explore the relationships between passwords: modification-based, similarity-based, and probability-based. By regarding passwords as vertices, we shed light on how to transform a dataset of passwords into a password graph. Subsequently, we introduce some novel notions from graph theory and report on a number of inner properties of passwords from the perspective of graph. With the assistance of Python Graph-tool, we are able to visualize our password graph to deliver an intuitive grasp of user-chosen passwords. Five real-world password datasets are used in our experiments to fulfill our thorough experiments. We discover that some passwords in a dataset are tightly connected with each other; they have the tendency to gather together as a cluster like they are in a social network; password graph has logarithmic distribution for its degrees. Top clusters in password graph could be exploited to obtain the effective mangling rules for cracking passwords. Also, password graph can be utilized for a new kind of password strength meter.