Miracle-dz/UniFAR-FTUs huggingface dataset:
Fullerene‐Free Polymer Solar Cells with over 11% Efficiency and Excellent Thermal Stability

A nonfullerene-based polymer solar cell (PSC) that significantly outperforms fullerene-based PSCs with respect to the power-conversion efficiency is demonstrated for the first time. An efficiency of >11%, which is among the top values in the PSC field, and excellent thermal stability is obtained using PBDB-T and ITIC as donor and acceptor, respectively.
Theoretical Setting of Inner Reversible Quantum Measurements

We show that any unitary transformation performed on the quantum state of a closed quantum system describes an inner, reversible, generalized quantum measurement. We also show that under some specific conditions it is possible to perform a unitary transformation on the state of the closed quantum system by means of a collection of generalized measurement operators. In particular, given a complete set of orthogonal projectors, it is possible to implement a reversible quantum measurement that preserves the probabilities. In this context, we introduce the concept of "Truth-Observable", which is the physical counterpart of an inner logical truth.
A Spoofing Benchmark for the 2018 Voice Conversion Challenge: Leveraging from Spoofing Countermeasures for Speech Artifact Assessment

Voice conversion (VC) aims at conversion of speaker characteristic without altering content. Due to training data limitations and modeling imperfections, it is difficult to achieve believable speaker mimicry without introducing processing artifacts; performance assessment of VC, therefore, usually involves both speaker similarity and quality evaluation by a human panel. As a time-consuming, expensive, and non-reproducible process, it hinders rapid prototyping of new VC technology. We address artifact assessment using an alternative, objective approach leveraging from prior work on spoofing countermeasures (CMs) for automatic speaker verification. Therein, CMs are used for rejecting `fake' inputs such as replayed, synthetic or converted speech but their potential for automatic speech artifact assessment remains unknown. This study serves to fill that gap. As a supplement to subjective results for the 2018 Voice Conversion Challenge (VCC'18) data, we configure a standard constant-Q cepstral coefficient CM to quantify the extent of processing artifacts. Equal error rate (EER) of the CM, a confusability index of VC samples with real human speech, serves as our artifact measure. Two clusters of VCC'18 entries are identified: low-quality ones with detectable artifacts (low EERs), and higher quality ones with less artifacts. None of the VCC'18 systems, however, is perfect: all EERs are < 30 % (the `ideal' value would be 50 %). Our preliminary findings suggest potential of CMs outside of their original application, as a supplemental optimization and benchmarking tool to enhance VC technology.
Strong decays of strange quarkonia

In this paper we evaluate strong decay amplitudes and partial widths of strange mesons (strangeonia and kaonia) in the 3P0 decay model. We give numerical results for all energetically allowed open-flavor two-body decay modes of all nsbar and ssbar strange mesons in the 1S, 2S, 3S, 1P, 2P, 1D and 1F multiplets, comprising strong decays of a total of 43 resonances into 525 two-body modes, with 891 numerically evaluated amplitudes. This set of resonances includes all strange qqbar states with allowed strong decays expected in the quark model up to ca. 2.2 GeV. We use standard nonrelativistic quark model SHO wavefunctions to evaluate these amplitudes, and quote numerical results for all amplitudes present in each decay mode. We also discuss the status of the associated experimental candidates, and note which states and decay modes would be especially interesting for future experimental study at hadronic, e+e- and photoproduction facilities. These results should also be useful in distinguishing conventional quark model mesons from exotica such as glueballs and hybrids through their strong decays.
Architectural Approaches for Implementing Clinical Decision Support Systems in Cloud: A Systematic Review

Clinical Decision Support Systems (CDSS) were explicitly introduced in the 90's with the aim of providing knowledge to clinicians in order to influence its decisions and, therefore, improve patients' health care. There are different architectural approaches for implementing CDSS. Some of these approaches are based on cloud computing, which provides on-demand computing resources over internet. The goal of this paper is to determine and discuss key issues and approaches involving architectural designs in implementing a CDSS using cloud computing. To this end, we performed a standard Systematic Literature Review (SLR) of primary studies showing the intervention of cloud computing on CDSS implementations. Twenty-one primary studies were reviewed. We found that CDSS architectural components are similar in most of studies. Cloud-based CDSS are most used in Home Healthcare and Emergency Medical Systems. Alerts/Reminders and Knowledge Service are the most common implementations. Major challenges are around security, performance and compatibility. We concluded on the benefits of implementing a cloud-based CDSS, since it allows cost-efficient, ubiquitous and elastic computing resources. We highlight that some studies show weaknesses regarding the conceptualization of a cloud-based computing approach and lack of a formal methodology in the architectural design process.
Simultaneous detection of IgG, IgM, IgA complexes and C3d attached to erythrocytes by flow cytometry

Immune complexes attached to erythrocyte membrane are involved in autoimmune hemolytic anemia (AIHA) pathogenesis. Currently, direct antiglobulin test (DAT) is used for AIHA diagnosis; however, its performance can be variable. The aim of this study was to design a flow cytometry protocol for simultaneous detection of IgG, IgM, IgA immune complexes and C3d attached to erythrocytes in AIHA patients .
Measurement and Evaluation of the Alar Base in Unilateral Secondary Lip Nasal Deformities by Three-Dimensional Computed Tomography

Objective This study aimed to analyze the asymmetry of the pyriform aperture and alar base in patients with unilateral secondary nasal deformities by three-dimensional computed tomography (3D-CT). Methods 3D-CT images of the subject group of 101 adult patients and of a control group of 65 normal adults were examined. Sixty-nine patients without alveolar bone grafting (ABG) were classified as Group A, and 32 patients with ABG were classified as Group B. Seven landmarks (INM, LPA, IPA, Gbase, Gsup, Glat, and Sbal) were measured for both the subject and control groups, and comparative analyses were done to assess the degree of asymmetry in the subject group. Results For over 95% of Group A and 80% to 85% of Group B, the index of LPA and IPA showed asymmetry or marked asymmetry. The index of Gbase, Glat, Gsup, and Sbal showed symmetry for around 50% of Group A and about 60% of Group B. In Group A, dorsal, lateral, and caudal translocation was found on the cleft side in LPA and IPA, while all soft landmarks showed dorsal translocation. In Group B, caudal translocation was found in both LPA and IPA, but only LPA appeared dorsal on the cleft side, while Glat showed dorsal and caudal translocation. Conclusion The results indicated that the degree of asymmetry of hard tissue landmarks far exceeded that of the soft tissue landmarks, and the degree of asymmetry of pyriform aperture was higher than expected for patients after ABG.
Size-resolved aerosol and cloud condensation nuclei (CCN) properties in the remote marine South China Sea – Part 1: Observations and source classification

Abstract. Ship-based measurements of aerosol and cloud condensation nuclei (CCN) properties are presented for 2 weeks of observations in remote marine regions of the South China Sea/East Sea during the southwestern monsoon (SWM) season. Smoke from extensive biomass burning throughout the Maritime Continent advected into this region during the SWM, where it was mixed with anthropogenic continental pollution and emissions from heavy shipping activities. Eight aerosol types were identified using a k-means cluster analysis with data from a size-resolved CCN characterization system. Interpretation of the clusters was supplemented by additional onboard aerosol and meteorological measurements, satellite, and model products for the region. A typical bimodal marine boundary layer background aerosol population was identified and observed mixing with accumulation mode aerosol from other sources, primarily smoke from fires in Borneo and Sumatra. Hygroscopicity was assessed using the κ parameter and was found to average 0.40 for samples dominated by aged accumulation mode smoke; 0.65 for accumulation mode marine aerosol; 0.60 in an anthropogenic aerosol plume; and 0.22 during a short period that was characterized by elevated levels of volatile organic compounds not associated with biomass burning impacts. As a special subset of the background marine aerosol, clean air masses substantially scrubbed of particles were observed following heavy precipitation or the passage of squall lines, with changes in observed aerosol properties occurring on the order of minutes. Average CN number concentrations, size distributions, and κ values are reported for each population type, along with CCN number concentrations for particles that activated at supersaturations between 0.14 and 0.85 %.
Influence of nickel on microstructure and mechanical properties of medium-manganese steels

ABSTRACT To combine the advantage of density reduction and excellent performance, nanometer-sized B2 particles were introduced into the δ ferrite matrix of high-aluminium low-density steel by the addition of nickel (Fe–0.2C–11Mn–6Al–4/8Ni). Compared to Fe–0.2C–11Mn–6Al (0Ni) steel, the hardness and tensile strength of 4Ni and 8Ni steels are significantly improved. The improvement of tensile strength in 4Ni and 8Ni steels was primarily contributed by the precipitation strengthening or solution strengthening of B2 particles in δ ferrite. At the higher annealing temperature, the original dislocation density in δ ferrite is lower. However, dislocation multiplication during tensile deformation was more significant in the sample annealed at higher temperature, which was responsible for a higher work hardening rate.
Analysis of Remaining Uncertainties and Exponents Under Various Conditional Rényi Entropies

We analyze the asymptotics of the normalized remaining uncertainty of a source when a compressed or hashed version of it and correlated side information is observed. For this system, commonly known as Slepian–Wolf source coding, we establish the optimal (minimum) rate of compression of the source to ensure that the remaining uncertainties vanish. We also study the exponential rate of decay of the remaining uncertainty to zero when the rate is above the optimal rate of compression. In this paper, we consider various classes of random universal hash functions. Instead of measuring remaining uncertainties using traditional Shannon information measures, we do so using two forms of the conditional Rényi entropy. Among other techniques, we employ new one-shot bounds and the moments of type class enumerator method (see Merhav) for these evaluations. We show that these asymptotic results are generalizations of the strong converse exponent and the error exponent of the Slepian–Wolf problem under maximum a posteriori decoding.
Multifunctional Non‐Equiatomic High Entropy Alloys with Superelastic, High Damping, and Excellent Cryogenic Properties

A new class of non‐equiatomic FeNiCoAlTaB (NCATB) high entropy alloy (HEA) is introduced, which exhibits tunable properties from cryogenic/ambient superelasticity to ultra‐high strength through controlling the nature or type of martensite. In the current NCATB‐HEA alloy system, depending on the size of γ’‐Ni3Al (L12) precipitates, thin‐plate, lenticular, butterfly, and lath‐like martensite can form. When thin‐plate thermoelastic martensite is favored, a superelastic strain of about 0.025 (ambient) and ≈0.01 (cryogenic) is achieved with a high yield stress of ≈800 MPa and a high‐damping effect (10 times higher than Cu–Al–Ni superelastic alloy). While for butterfly and lath‐like martensite dominated NCATB‐HEA, an ultra‐high yield stress of around 1.1 GPa is achieved while no superelasticity is demonstrated. This current alloy system helps to expand the application domain of HEAs, for example, into high‐damping applications, robust actuators, space exploration, and other structural material applications.
Immobilization of active human carboxylesterase 1 in biomimetic silica nanoparticles

The encapsulation of proteins in biomimetic silica has recently been shown to successfully maintain enzymes in their active state. Organophosphate (OP) compounds are used as pesticides as well as potent chemical warfare nerve agents. Because these toxicants are life threatening, we sought to generate biomimetic silicas capable of responding to OPs. Here, we present the silica encapsulation of human drug metabolism enzyme carboxylesterase 1 (hCE1) in the presence of a range of catalysts. hCE1 was successfully encapsulated into silica particles when lysozyme or the peptide R5 were used as catalysts; in contrast, polyethyleneimine, a catalyst used to encapuslate other enzymes, did not facilitate hCE1 entrapment. hCE1 silica particles in a column chromatography format respond to the presence of the OP pesticides paraoxon and dimethyl‐p‐nitrophenyl phosphate in solution. These results may lead to novel approaches to detect OP pesticides or other weaponized agents that bind hCE1. © 2011 American Institute of Chemical Engineers Biotechnol. Prog. , 2011
The impact of functional health literacy and acculturation on the oral health status of Somali refugees living in Massachusetts.

OBJECTIVES We assessed the impact of health literacy and acculturation on oral health status of Somali refugees in Massachusetts. METHODS Between December 2009 and June 2011, we surveyed 439 adult Somalis who had lived in the United States 10 years or less. Assessments included oral examinations with decayed, missing, and filled teeth (DMFT) counts and measurement of spoken English and health literacy. We tested associations with generalized linear regression models. RESULTS Participants had means of 1.4 decayed, 2.8 missing, and 1.3 filled teeth. Among participants who had been in the United States 0 to 4 years, lower health literacy scores correlated with lower DMFT (rate ratio [RR] = 0.78; P = .016). Among participants who had been in the country 5 to 10 years, lower literacy scores correlated with higher DMFT (RR = 1.37; P = .012). Literacy was not significantly associated with decayed teeth. Lower literacy scores correlated marginally with lower risk of periodontal disease (odds ratio = 0.22; P = .047). CONCLUSIONS Worsening oral health of Somali refugees over time may be linked to less access to preventive care and less utilization of beneficial oral hygiene practices.
Memory Matching Networks for One-Shot Image Recognition

In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs) with Memory and learning to learn the network parameters for the unlabelled images on the fly in one-shot learning. Specifically, we present Memory Matching Networks (MM-Net) - a novel deep architecture that explores the training procedure, following the philosophy that training and test conditions must match. Technically, MM-Net writes the features of a set of labelled images (support set) into memory and reads from memory when performing inference to holistically leverage the knowledge in the set. Meanwhile, a Contextual Learner employs the memory slots in a sequential manner to predict the parameters of CNNs for unlabelled images. The whole architecture is trained by once showing only a few examples per class and switching the learning from minibatch to minibatch, which is tailored for one-shot learning when presented with a few examples of new categories at test time. Unlike the conventional one-shot learning approaches, our MM-Net could output one unified model irrespective of the number of shots and categories. Extensive experiments are conducted on two public datasets, i.e., Omniglot and miniImageNet, and superior results are reported when compared to state-of-the-art approaches. More remarkably, our MM-Net improves one-shot accuracy on Omniglot from 98.95% to 99.28% and from 49.21% to 53.37% on miniImageNet.
Analysis of Human Bradykinin Receptor Gene and Endothelial Nitric Oxide Synthase Gene Polymorphisms in End-Stage Renal Disease Among Malaysians

The aim of this study was to determine the association of the c.894G>T; p.Glu298Asp polymorphism and the variable number tandem repeat (VNTR) polymorphism of the endothelial nitric oxide synthase (eNOS) gene and c.181C>T polymorphism of the bradykinin type 2 receptor gene (B2R) in Malaysian end-stage renal disease (ESRD) subjects. A total of 150 ESRD patients were recruited from the National Kidney Foundation’s (NKF)dialysis centers in Malaysia and compared with 150 normal healthy individuals. Genomic DNA was extracted from buccal cells of all the subjects. The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was carried out to amplify the products and the restricted fragments were separated by agarose gel electrophoresis. Statistical analyses were carried out using software where a level of p <0.05 was considered to be statistically significant. The genotypic and allelic frequencies of the B2R gene (c.181C>T, 4b/a) and eNOS gene (c.894G>T) polymorphisms were not statistically significant (p >0.05) when compared to the control subjects. The B2R and eNOS gene polymorphisms may not be considered as genetic susceptibility markers for Malaysian ESRD subjects.
Single-dose versus two-dose administration of methotrexate for the treatment of ectopic pregnancy: a randomized controlled trial.

STUDY QUESTION Can a two-dose methotrexate treatment protocol improve the treatment success rate compared with a single-dose protocol in women with an ectopic pregnancy? SUMMARY ANSWER The two-dose protocol was not superior to the single-dose protocol for the treatment of ectopic pregnancy. WHAT IS KNOWN ALREADY Although the two-dose methotrexate protocol for ectopic pregnancy was recently introduced to combine the efficacy and convenience of the fixed multi-dose and single-dose protocols, studies comparing the success rates, treatment satisfaction and acceptability of the single-dose and two-dose treatment protocols for ectopic pregnancy are currently lacking. STUDY DESIGN, SIZE, DURATION A randomized trial was conducted on 92 participants with tubal ectopic pregnancy, between May 2013 and April 2015. PARTICIPANT/MATERIALS, SETTING, METHODS Patients who were diagnosed with tubal ectopic pregnancy and who elected to undergo systemic methotrexate treatment were randomly assigned to follow either the single-dose (n = 46) or two-dose protocol (n = 46). The primary outcome measure was treatment success without surgical intervention. The secondary outcome measures were the incidence of methotrexate-associated side effects, β-human chorionic gonadotrophin (β-hCG) resolution time, cost of care received and treatment satisfaction. MAIN RESULTS AND THE ROLE OF CHANCE There were no differences in baseline characteristics between the groups. The success rates between the single-dose and two-dose groups did not show a significant difference [82.6 versus 87.0%; relative risk (RR) 0.95; 95% confidence interval (CI) 0.80-1.13]. However, the success rate in a subgroup of participants with a pretreatment β-hCG level of >5000 mIU/ml appeared to be higher in the two-dose group than in the single-dose group (80.0 versus 58.8%), although the difference was not statistically significant. No significant differences in methotrexate-associated side effects, cost or treatment satisfaction were observed between the groups. The two-dose group required a lower number of days for the β-hCG level to decrease to <5 mIU/ml than the single-dose group (25.7 ± 13.6 versus 31.9 ± 14.1 days; P = 0.025). LIMITATIONS, REASONS FOR CAUTION Some caution is warranted in interpreting the results due to an overoptimistic sample size calculation on the basis of the biggest difference as reported in literature between the success rates of two protocols. WIDER IMPLICATIONS OF THE FINDINGS The single-dose protocol with the option to elaborate to a second dose in the case of treatment failure could stand as the treatment for most cases of ectopic pregnancy. STUDY FUNDING/COMPLETING OF INTERESTS None. TRIAL REGISTRATION NUMBER www.clinicaltrials. gov, no. NCT01855568. TRIAL REGISTRATION DATE 10 May 2013. DATE OF FIRST PATIENT'S ENROLMENT 26 May 2013.
Asymptotic theory of mixed time averages and k th-order cyclic-moment and cumulant statistics

We generalize Parzen's (1961) analysis of "asymptotically stationary" processes to mixtures of deterministic, stationary, nonstationary, and generally complex time series. Under certain mixing conditions expressed in terms of joint cumulant summability, we show that time averages of such mixtures converge in the mean-square sense to their ensemble averages. We additionally show that sample averages of arbitrary orders are jointly complex normal and provide their covariance expressions. These conclusions provide us with statistical tools that treat random and deterministic signals on a common framework and are helpful in defining generalized moments and cumulants of mixed processes. As an important consequence, we develop consistent and asymptotically normal estimators for time-varying, and cyclic-moments and cumulants of kth-order cyclostationary processes and provide computable variance expressions. Some examples are considered to illustrate the salient features of the analysis. >