Miracle-dz/UniFAR-FTUs huggingface dataset:
Clinical Characteristics of Aerobic Vaginitis and Its Association to Vaginal Candidiasis, Trichomonas Vaginitis and Bacterial Vaginosis

ABSTRACT Aim of the work: Examine clinical characteristics of aerobic vaginitis and mixed infection for the purpose of better diagnostic accuracy and treatment efficiency. Materials and methods: Prospective research has been conducted at Clinic for Gynecology and Obstetrics, Department for Microbiology and Pathology at Polyclinic for laboratory diagnostic and Gynecology and Obstetrics Department at Health Center Sapna. Examination included 100 examinees with the signs of vaginitis. Examination consisted of: anamnesis, clinical, gynecological and microbiological examination of vaginal smear. Results: The average age of the examinees was 32,62±2,6. Examining vaginal smears of the examinees with signs of vaginitis in 96% (N-96) different microorganisms have been isolated, while in 4% (N-4) findings were normal. AV has been found in 51% (N-51) of the examinees, Candida albicans in 17% (N-17), BV in 15% (N-15), Trichomonas vaginalis in 13% (N-13). In 21% (N-21) AV was diagnosed alone while associated with other agents in 30% (N-30). Most common causes of AV are E. coli (N-55) and E. faecalis (N-52). AV and Candida albicanis have been found in (13/30, 43%), Trichomonas vaginalis in (9/30, 30%) and BV (8/30, 26%). Vaginal secretion is in 70,05% (N-36) yellow coloured, red vagina wall is recorded in 31,13% (N-16) and pruritus in 72,54% (N-37). Increased pH value of vagina found in 94,10% (N-48). The average pH value of vaginal environment was 5,15±0,54 and in associated presence of AV and VVC, TV and BV was 5,29±0,56 which is higher value considering presence of AV alone but that is not statistically significant difference (p>0,05). Amino-odor test was positive in 29,94% (N-15) of associated infections. Lactobacilli are absent, while leukocytes are increased in 100% (N-51) of the examinees with AV. Conclusion: AV is vaginal infection similar to other vaginal infections. It is important to be careful while diagnosing because the treatment of AV differentiates from treatment of other vaginitis.
A vertex similarity index using community information to improve link prediction accuracy

Link prediction plays an important role in complex network analysis. It is to predict the existence of an unknown link or a future link in a network. Classical methods for link prediction evaluate the similarity of vertices based on common neighbors, and denote that every common neighbor makes equal contribution to the connection likelihood. However, common neighbors may play different roles depending on whether they belong to the same community, where vertices are densely or sparsely connected to other communities. This paper proposes a novel similarity index for link prediction which combines the topology information and community information. The proposed approach is compared with ten classical local similarity indices on ten real-world networks. The experiment results shown that the proposed approach can improve the accuracy of link prediction no matter which community detection algorithm is used.
Neural domain adaptation of sentiment lexicons

Sentiment lexicons are widely used in computational linguistics, as they represent a resource that directly contains subjective sentimental knowledge. Usually these sentiment lexica are generic and developed without any specific semantic domain in mind. Nonetheless, the domain context can be highly relevant for sentiment analysis, as it is known that word polarities can be influenced by domain-specific traits. This paper studies the problem of automatically generating domain-adapted sentiment lexicons that can be used in posterior sentiment analysis tasks. We propose a neural network approach that modifies a sentiment lexicon using distantly annotated text of a certain domain. Additionally, we present a completely data-driven domain characterization metric that measures the centrality of a set of documents. Experimental work shows that this metric offers a measure of the generated lexicons' quality. Also, it is shown that the generated lexicons yield higher performance on domain-oriented sentiment analysis than a generic lexicon and other known baselines. Finally, it is also discussed that these extracted lexicons can be used for sentiment analysis even for approaches with no learning capabilities.
Recent experiences in using MPI-3 RMA in the DASH PGAS runtime

The Partitioned Global Address Space (PGAS) programming model has become a viable alternative to traditional message passing using MPI. The DASH project provides a PGAS abstraction entirely based on C++11. The underlying DASH RunTime, DART, provides communication and management functionality transparently to the user. In order to facilitate incremental transitions of existing MPI-parallel codes, the development of DART has focused on creating a PGAS runtime based on the MPI-3 RMA standard. From an MPI-RMA user perspective, this paper outlines our recent experiences in the development of DART and presents insights into issues that we faced and how we attempted to solve them, including issues surrounding memory allocation and memory consistency as well as communication latencies. We implemented a set of benchmarks for global memory allocation latency in the framework of the OSU micro-benchmark suite and present results for allocation and communication latency measurements of different global memory allocation strategies under three different MPI implementations.
The resistance of alkali-activated cement-based binders to carbonation

Abstract Carbonation is a degradation process that negatively affects alkali-activated materials, and represents one of the main perceived limitations for their adoption in structural applications. In this chapter the protocols followed to assess the carbonation susceptibility via accelerated methods are presented, along with a critical overview of the role of testing conditions and chemistry of the binding phases in defining the results acquired from those tests. It is highlighted that there is a need to develop testing protocols that better replicate the natural carbonation mechanism of alkali-activated materials, to enable accurate prediction of their long-term performance.
Efficient femtosecond laser micromachining of bulk 3C-SiC

We demonstrate surface micromachining of bulk 3C silicon carbide (3C-SiC) wafers by employing tightly focused infrared femtosecond laser pulses of energy less than 10 nJ directly from a femtosecond laser oscillator, thus eliminating the need for an amplified system and increasing the micromachining speed by more than four orders of magnitude. In addition, we show that high aspect ratio through-tapered vias can be drilled in 400 µm thick wafers using an amplified femtosecond laser.
Modelling and simulation of economic lot size scheduling problem: A case study

Economic Lot Size Scheduling Problem (ELSP) is one of the most challenging problems in production and operation management. Although studied extensively in the literature, yet it is still one of the major topics in scheduling research. ELSP with its various configurations can be found in many industrial fields. In this paper, a producer of Fast Moving Consumer Goods is considering this decision. The company has a production line producing a range of products having dependent changeover cost. It is required to determine the production schedule and lot size that minimize the total cost. We provide a heuristic model that uses different priority rules, and simulate the model to compare the performance against the different priority rules at different lot sizes. The total cost is calculated finding that the Safety Time rule resulted in the least cost among tested rules. The effect of different cost parameters on the priority rule performance is also discussed leading to defining cost ratio determining the superiority of the used rule.
Rabin vs. Streett Automata ∗

The Rabin and Streett acceptance conditions are dual. Accordingly, deterministic Rabin and Streett automata are dual. Yet, when adding nondeterminsim, the picture changes dramatically. In fact, the state blowup involved in translations between Rabin and Streett automata is a longstanding open problem, having an exponential gap between the known lower and upper bounds. We resolve the problem, showing that the translation of Streett to Rabin automata involves a state blowup in Θ( n 2 ), whereas in the other direction, the translations of both deterministic and nondeterministic Rabin automata to nondeterministic Streett automata involve a state blowup in 2 Θ( n ) . Analyzing this substantial diﬀerence between the two directions, we get to the conclusion that when studying translations between automata, one should not only consider the state blowup, but also the size blowup, where the latter takes into account all of the automaton elements. More precisely, the size of an automaton is deﬁned to be the maximum of the alphabet length, the number of states, the number of transitions, and the acceptance condition length (index). Indeed, size-wise, the results are opposite. That is, the translation of Rabin to Streett involves a size blowup in Θ( n 2 ) and of Streett to Rabin in 2 Θ( n ) . The core diﬀerence between state blowup and size blowup stems from the tradeoﬀ between the index and the number of states. (Recall that the index of Rabin and Streett automata might be exponential in the number of states.) We continue with resolving the open problem of translating deterministic Rabin and Streett automata to the weaker types of deterministic co-Büchi and Büchi automata, respectively. We show that the state blowup involved in these translations, when possible, is in 2 Θ( n ) , whereas the size blowup is in Θ( n 2 ).
Prediction of protein structure with the coarse‐grained UNRES force field assisted by small X‐ray scattering data and knowledge‐based information

A new approach to assisted protein–structure prediction has been proposed, which is based on running multiplexed replica exchange molecular dynamics simulations with the coarse‐grained UNRES force field with restraints derived from knowledge‐based models and distance distribution from small angle X‐ray scattering (SAXS) measurements. The latter restraints are incorporated into the target function as a maximum‐likelihood term that guides the shape of the simulated structures towards that defined by SAXS. The approach was first verified with the 1KOY protein, for which the distance distribution was calculated from the experimental structure, and subsequently used to predict the structures of 11 data‐assisted targets in the CASP12 experiment. Major improvement of the GDT_TS was obtained for 2 targets, minor improvement for other 2 while, for 6 target GDT_TS deteriorated compared with that calculated for predictions without the SAXS data, partly because of assuming a wrong multimeric state (for Ts866) or because the crystal conformation was more compact than the solution conformation (for Ts942). Particularly good results were obtained for Ts909, in which use of SAXS data resulted in the selection of a correctly packed trimer and, subsequently, increased the GDT_TS of monomer prediction. It was found that running simulations with correct oligomeric state is essential for the success in SAXS‐data‐assisted prediction.
Clinical Relevance of As-Needed Treatment with Nalmefene in Alcohol-Dependent Patients

Nalmefene is the first drug approved for reduction of alcohol consumption. The aim of this study was to evaluate the clinical relevance of treatment with nalmefene in alcohol-dependent patients with a high drinking risk level from two randomised placebo-controlled 6-month studies (NCT00811720 and NCT00812461). Response criteria were based on alcohol consumption, Clinical Global Impression, and Short Form Health Survey mental component summary scores at month 6, analysed using logistic regression. The proportion of responders was higher in the nalmefene group than in the placebo group with odds ratios significantly in favour of nalmefene for all responder criteria; numbers-needed-to-treat ranged from 6 to 10. Significant differences from placebo in clinician-rated and patient-reported outcomes, and liver enzymes further supported the clinical relevance of the treatment effect. In conclusion, this study supports the clinical relevance of nalmefene treatment in patients with alcohol dependence. Nalmefene may help to reduce the alcohol-related burden and the large treatment gap, with currently less than 10% of alcohol-dependent patients in Europe receiving treatment.
Fatty acid synthase is a primary target of MiR-15a and MiR-16-1 in breast cancer

Fatty acid synthase (FASN) is upregulated in breast cancer and correlates with poor prognosis. FASN contributes to mammary oncogenesis and serves as a bona fide target in cancer therapies. MicroRNAs inhibit gene expression through blocking mRNA translation or promoting mRNA degradation by targeting their 3′-UTRs. We identified four microRNAs in two microRNA clusters miR-15a-16-1 and miR-497-195 that share a common seed sequence to target the 3′-UTR of the FASN mRNA. In reporter assays, both of these microRNA clusters inhibited the expression of a reporter construct containing the FASN 3′-UTR. However, only ectopic miR-15a-16-1, but not miR-497-195, markedly reduced the levels of endogenous FASN in breast cancer cells. Both miR-15a and miR-16-1 contributes to inhibiting FASN expression and breast cancer cell proliferation. Consistently, a sponge construct consisting of eight repeats of the FASN 3′-UTR region targeted by these microRNAs could markedly increase endogenous FASN levels in mammary cells. When FASN expression was restored by ectopic expression in breast cancer cells, retarded cell proliferation caused by miR-15a-16-1 was partially rescued. In conclusion, we demonstrated that FASN expression is primarily downregulated by miR-15a and miR-16-1 in mammary cells and FASN is one of the major targets of these two tumor suppressive microRNAs.
Three steps forward and 2 steps back: the Echternach procession toward optimal hydrocephalus treatment.

T he dancing procession in Echternach, a small town in Luxembourg, is a centuries-old religious procession to the shrine of St. Willibrord that has taken various forms over time. At one point in history, the celebrants took 3 steps forward and 2 steps backward, thus taking 5 steps to make 1 step of progress. This, I think, provides a good analogy for the last 100 years of progress in our understanding and treatment of hydrocephalus. I joined this procession when my family and I moved to Uganda in 2000 to work with CURE International, a non-profit Christian organization, in founding a pediatric neurosurgery hospital for the region. When the hospital was opened, it quickly became apparent that infant hydrocephalus was the most overwhelming problem, and we subsequently found that the majority (60%) of these cases were secondary to neonatal ventriculitis. We have subsequently reported the enormous burden of infant hydrocephalus in sub-Saharan Africa and the long-term outcome for these postinfectious hydrocephalus cases. We were soon treating . 500 new infants for hydrocephalus at the CURE Children’s Hospital of Uganda each year. Creating shunt dependence was more problematic in sub-Saharan Africa than in developed countries and begged the question as to what the best treatment for hydrocephaluswould be in that particular context. However, I suggest that we do not yet know the correct answer to that question for this or any other context because we have an incomplete understanding of both cerebrospinal fluid (CSF) physiology and hydrocephalus. The problem is compounded by often not recognizing our unfounded assumptions. THE CLASSIC “BULK FLOW” MODEL OF CSF
A prototype of cyber incident diagnosis mechanism for cyber attacks early recognition support system

When abnormalities, including equipment failure and/or cyberattacks, occur in the control system of a production site, it is essential to specify their cause to ensure rapid restoration of the productive equipment. However, it is difficult for control engineers to quickly determine whether the cause is a cyberattack, malware infection, or failure resulting from the state information captured by the plant, because they do not always understand cybersecurity and tend to think about failure diagnosis first. Motivated by this, this paper proposes an information provision system to separate cyberattack information from abnormality information for cyberattack early recognition support. A prototype of an early recognition support system was developed and its validity demonstrated via a simulated plant.
ParallelNACluster: Uma estratégia paralela de clusterização para o casamento de múltiplos catálogos

O casamento de catálogos de astronomia tem o objetivo identificar objetos celestes em comum presentes em diferentes levantamentos astronômicos. As abordagens tradicionais em astronomia não apresentam soluções para o problema de casamento no contexto de grande volume de dados. Neste artigo, melhoramos o algoritmo NACluster ao apresentar a estratégia ParallelNACluster, uma versão paralela do NACluster que se aproveita do particionamento dos dados de entrada, e aceita grandes volumes de dados mesmo utilizando um conjunto de hardware de pequeno porte. Além disso, propomos o SCIBoundary, uma nova estratégia para tratamento do casamento de objetos espacialmente separados em partições de dados vizinhas. O SCIBoundary permite que obtenhamos resultados equivalentes entre o NACluster e o ParallelNACluster.
P.61: Mold Transfer Processed Organic Light Emitting Diodes using Patterned Conductive Polymer Electrode

We fabricated OLEDs with a micro patterned flexible transparent conductive polymer electrode by the mold transfer process (MTP). For the polymer anode, the electrical properties of PEDOT:PSS can be enhanced by adding additives in order to improve its conductivity and make it possible to control the surface energy of the substrate for the MTP. This process allows the successful fabrication of mold transfer processed OLEDs by using patterned conductive polymer anodes without indium tin oxide (ITO).
Prevalence and Characteristics of Carotid Artery High‐Risk Atherosclerotic Plaques in Chinese Patients With Cerebrovascular Symptoms: A Chinese Atherosclerosis Risk Evaluation II Study

Background Carotid atherosclerotic plaque rupture is an important source of ischemic stroke. However, the prevalence of high‐risk plaque (HRP) defined as plaques with luminal surface disruption, a lipid‐rich necrotic core occupying >40% of the wall, or intraplaque hemorrhage in Chinese population remains unclear. This study uses carotid magnetic resonance imaging (CMRI) to investigate HRP prevalence in carotid arteries of Chinese patients with cerebrovascular symptoms. Methods and Results Patients with cerebral ischemic symptoms in the anterior circulation within 2 weeks and carotid plaque determined by ultrasound were recruited and underwent CMRI. The HRP features were identified and compared between symptomatic and asymptomatic arteries. Receiver‐operating‐characteristic analysis was used to calculate area‐under‐the‐curve (AUC) of stenosis and maximum wall thickness for discriminating presence of HRP. In 1047 recruited subjects, HRP detected by CMRI was nearly 1.5 times more prevalent than severe stenosis (≥50%) in this cohort (28% versus 19%, P<0.0001). Approximately two thirds of HRPs were found in arteries with <50% stenosis. The prevalence of HRP in symptomatic carotid arteries was significantly higher than that of the contralateral asymptomatic carotid arteries (23.0% versus 16.4%, P=0.001). Maximum wall thickness was found to be a stronger discriminator than stenosis for HRP (AUC: 0.93 versus 0.81, P<0.0001). Conclusions There are significantly more high‐risk carotid plaques than carotid arteries with ≥50% stenosis in symptomatic Chinese patients. A substantial number of HRPs were found in arteries with lower grade stenosis and maximum wall thickness was a stronger indicator for HRP than luminal stenosis. Clinical Trial Registration URL: https://www.clinicaltrials. gov/. Unique identifier: NCT02017756.
Hyperlipidaemia, statin use and the risk of developing rheumatoid arthritis

Objective: To evaluate whether statins are associated with a protective effect on the development of rheumatoid arthritis (RA). Methods: A nested case–control study was conducted using data from the General Practice Research Database. A study population consisting of three groups of subjects aged 40–89 years was identified: (1) patients exposed to a statin or other lipid-lowering agent (LLA); (2) patients with a diagnosis of hyperlipidaemia in the absence of lipid-lowering drug treatment and (3) a random sample of 25 000 individuals with no diagnosis of hyperlipidaemia nor a prescription for a LLA. From this population incident cases of RA and up to four controls for each case were identified, matched on age, sex, general practice, number of years of recorded history in the database and index date. The independent effects of hyperlipidaemia and statins on the development of RA were evaluated using conditional logistic regression. Results: 313 cases of RA and 1252 matched controls were identified. Compared with patients with untreated hyperlipidaemia, or hyperlipidaemia treated with LLA other than statins, the adjusted odds ratio for patients with no hyperlipidaemia was 0.68 (95% CI 0.50 to 0.91). When those with hyperlipidaemia who received statins were compared with those with hyperlipidaemia who did not use statins (ie, untreated hyperlipidaemia patients or those treated with non-statin LLA) the OR was 0.59 (95% CI 0.37 to 0.96). Conclusion: These data provide evidence to support the hypothesis that statins may be protective against the development of RA in patients with hyperlipidaemia.
RF Compliance Study of Temperature Elevation in Human Head Model Around 28 GHz for 5G User Equipment Application: Simulation Analysis

The crowdedness of current cellular bands and the demand for higher transmission speed prompt the use of the millimeter-wave spectrum for the next-generation mobile communication. In the millimeter-wave frequencies, the dosimetric quantity for human exposure to electromagnetic fields changes from the specific absorption rate to incident power density. In this paper, we used 28-GHz beam-steering patch arrays, a dipole antenna, and plane waves to investigate the temperature elevation in a multi-layer model of human head and its correlation with power density metrics. The power density averaged over one square-centimeter in free space and the peak temperature elevation in tissue at 28 GHz have good correlation. The peak temperature elevation indicated by the power density averaged one square-centimeter also agrees well with the peak temperature elevation induced by the plane waves. The results show that the averaging area of a few square-centimeters may be a good candidate for the spatial-average power density. The findings provide valuable input to the ongoing revision and updating of relevant safety standards and guidelines.
Medical Errors: Focusing More on What and Why, Less on Who.

Disclosure of medical errors and improvement in patient safety are inexorably linked, and provide one of the strongest reasons to report and disclose errors, including near misses in which no harm comes to the patient. As Rosner et al1 notes, “The paradox of modern quality improvement is that only by admitting and forgiving error can its rate be reduced. ” Error reports can be valuable learning tools as well—both for those immediately involved and for the health care community at large.