Miracle-dz/UniFAR-FTUs huggingface dataset:
Patient-controlled epidural analgesia for labour in a patient after Ross procedure for congenital bicuspid aortic valve

The Ross procedure involves the replacement of the aortic valve or aortic root with a pulmonary autograft in patients with aortic valve disease, particularly growing children and young adults with active lifestyles (Frigiola et al. 2010). However, concerns regarding progressive dilatation of the neoaortic root (pulmonary autograft) with or without concomitant neoaortic valve regurgitation have been raised in patients who undergo this procedure (Pasquali et al. 2007). To our knowledge, no case reports regarding the anaesthetic management of labour in women with neoaortic root after the Ross procedure have been published. Here, we present the first such case.
Diagnosis of Breast Cancer Tissues Using 785 nm Miniature Raman Spectrometer and Pattern Regression

For achieving the development of a portable, low-cost and in vivo cancer diagnosis instrument, a laser 785 nm miniature Raman spectrometer was used to acquire the Raman spectra for breast cancer detection in this paper. However, because of the low spectral signal-to-noise ratio, it is difficult to achieve high discrimination accuracy by using the miniature Raman spectrometer. Therefore, a pattern recognition method of the adaptive net analyte signal (NAS) weight k-local hyperplane (ANWKH) is proposed to increase the classification accuracy. ANWKH is an extension and improvement of K-local hyperplane distance nearest-neighbor (HKNN), and combines the advantages of the adaptive weight k-local hyperplane (AWKH) and the net analyte signal (NAS). In this algorithm, NAS was first used to eliminate the influence caused by other non-target factors. Then, the distance between the test set samples and hyperplane was calculated with consideration of the feature weights. The HKNN only works well for small values of the nearest-neighbor. However, the accuracy decreases with increasing values of the nearest-neighbor. The method presented in this paper can resolve the basic shortcoming by using the feature weights. The original spectra are projected into the vertical subspace without the objective factors. NAS was employed to obtain the spectra without irrelevant information. NAS can improve the classification accuracy, sensitivity, and specificity of breast cancer early diagnosis. Experimental results of Raman spectra detection in vitro of breast tissues showed that the proposed algorithm can obtain high classification accuracy, sensitivity, and specificity. This paper demonstrates that the ANWKH algorithm is feasible for early clinical diagnosis of breast cancer in the future.
Recursive composition and bootstrapping for SNARKS and proof-carrying data

Succinct non-interactive arguments of knowledge (SNARKs) enable verifying NP statements with complexity that is essentially independent of that required for classical NP verification. In particular, they provide strong solutions to the problem of verifiably delegating computation. We construct the first fully-succinct publicly-verifiable SNARK. To do that, we first show how to "bootstrap" any SNARK that requires expensive preprocessing to obtain a SNARK that does not, while preserving public verifiability. We then apply this transformation to known SNARKs with preprocessing. Moreover, the SNARK we construct only requires of the prover time and space that are essentially the same as that required for classical NP verification. Our transformation assumes only collision-resistant hashing; curiously, it does not rely on PCPs. We also show an analogous transformation for privately-verifiable SNARKs, assuming fully-homomorphic encryption. At the heart of our transformations is a technique for recursive composition of SNARKs. This technique uses in an essential way the proof-carrying data (PCD) framework, which extends SNARKs to the setting of distributed networks of provers and verifiers. Concretely, to bootstrap a given SNARK, we recursively compose the SNARK to obtain a "weak" PCD system for shallow distributed computations, and then use the PCD framework to attain stronger notions of SNARKs and PCD systems.
Low-Latency Successive-Cancellation Polar Decoder Architectures using 2-Bit Decoding

Polar codes have emerged as an important error correction codes due to their capacity achieving property and also seen them as a major breakthrough in coding theory. For (n, k) polar codes, the delay in partial sum network (PSN) implementation are a bottleneck for designing high speed polar decoder. Therefore, an efficient PSN updating algorithm and its corresponding architecture was proposed, which achieves delay performance irrespective of code lengths are introduced. Our work has significantly reduces critical path delay and hardware complexity. Simulation results show that high speed PSN with 2-bit successive cancellation pre-computation decoder achieves 40% hardware efficiency and 1.05 times improved in speed by comparing with the prior least latency SC decoder. Moreover, in order to reduce hardware complexity optimized main frame and feedback part approaches are also presented. A (1024, 512) SC polar decoder was designed and implemented using 40-nm CMOS standard cell technology. Synthesis results show that the proposed SC polar decoder can lead to a 13% reduction in hardware complexity and a higher clock speed compared to conventional decoders.
Geographic Variation in Maternal Smoking during Pregnancy in the Missouri Adolescent Female Twin Study (MOAFTS)

Objective Despite well-known adverse health effects of maternal smoking during pregnancy (MSP), it is still unclear if MSP varies geographically and if neighborhood socioeconomic deprivation (SED) plays an important role in MSP. This study aims to investigate small-area geographic variation in MSP and examine the association of SED with MSP. Methods The Missouri Adolescent Female Twin Study (MOAFTS) is a cohort study of female like-sex twins born in Missouri to Missouri-resident parents during 1975–1985. Biological mothers completed a baseline interview in 1995–1998 and reported MSP with the twins. Residential address of the mother at birth was geocoded. We developed a census tract-level SED index using a common factor approach based on 21 area-level socioeconomic variables from the 1980 Census data. Multilevel logistic regressions estimated geographic heterogeneity (random effect) in MSP and the odds ratios (ORs, fixed effects) of neighborhood SED associated with MSP. Results Of 1658 MOAFTS mothers, 35.2% reported any MSP and 21.9% reported MSP beyond the first trimester. Neighborhood SED was associated with any MSP (the highest vs. the lowest quartile: OR = 1.90, 95% confidence interval [CI] = 1.40–2.57, Ptrend<0.001) and MSP beyond the first trimester (OR = 1.98, 95% CI = 1.38–2.85, Ptrend = 0.002) in unadjusted analyses. After adjusting for individual covariates (demographics, socioeconomic conditions, alcohol use, and parents’ cohabitation), neighborhood SED was not associated with MSP, but geographic variation still persisted in MSP (variance = 0.41, P = 0.003) and in MSP beyond the first trimester (variance = 0.82, P<0.001). Conclusions Neighborhood SED was associated with MSP in unadjusted analyses but this association could be explained by individual socioeconomic conditions. Nonetheless, significant geographic variation in MSP persisted and was not accounted for by differences in neighborhood SED. To develop effective interventions to reduce MSP, further studies are necessary to explore underlying reasons for its geographic variation.
Support vector machines to detect physiological patterns for EEG and EMG-based human–computer interaction: a review

Support vector machines (SVMs) are widely used classifiers for detecting physiological patterns in human–computer interaction (HCI). Their success is due to their versatility, robustness and large availability of free dedicated toolboxes. Frequently in the literature, insufficient details about the SVM implementation and/or parameters selection are reported, making it impossible to reproduce study analysis and results. In order to perform an optimized classification and report a proper description of the results, it is necessary to have a comprehensive critical overview of the applications of SVM. The aim of this paper is to provide a review of the usage of SVM in the determination of brain and muscle patterns for HCI, by focusing on electroencephalography (EEG) and electromyography (EMG) techniques. In particular, an overview of the basic principles of SVM theory is outlined, together with a description of several relevant literature implementations. Furthermore, details concerning reviewed papers are listed in tables and statistics of SVM use in the literature are presented. Suitability of SVM for HCI is discussed and critical comparisons with other classifiers are reported.
A phase II study of the farnesyl transferase inhibitor, tipifarnib, in children with recurrent or progressive high‐grade glioma, medulloblastoma/primitive neuroectodermal tumor, or brainstem glioma: A children's oncology group study

An open‐label Phase II study of tipifarnib was conducted to evaluate its safety and efficacy in children with recurrent or refractory medulloblastoma (MB)/primitive neuroectodermal tumor (PNET), high‐grade glioma (HGG), and diffuse intrinsic brainstem glioma (BSG).
Photodynamic Therapy Targeted to Pathogens

Photodynamic therapy (PDT) employs a non-toxic dye termed a photosensitizer (PS) together with low intensity visible light, which, in the presence of oxygen, produce cytotoxic species. PS can be targeted to its destination cell or tissue and, in addition, the irradiation can be spatially confined to the lesion giving PDT the advantage of dual selectivity. This promising approach can be used for various applications including microbial inactivation and the treatment of infections. Resistance to PDT has not been shown and multiantibiotic-resistant strains are as easily killed as naïve strains. It is known that Gram (+) bacteria are more sensitive to PDT as compared to Gram (-) species. However, the use of cationic PS or agents that increase the permeability of the outer membrane allows for the effective killing of Gram (-) organisms. Some PS have an innate positive charge, but our approach is to link PS to a cationic molecular vehicle such as poly-L-lysine. This modification dramatically increases PS binding to and penetrating through the negatively charged bacterial permeability barrier. Due to focused light delivery the use of PDT is possible only for localized infections. Nonetheless numerous diseases can be treated. Selectivity of the PS for microbes over host cells, accurate delivery of the PS into the infected area, and PDT dose adjustment help minimize side effects and give PDT an advantage over conventional therapy. There are only a few reports about the use of antimicrobial PDT in animal models and clinical trials. We have used genetically modified bioluminescent bacteria to follow the effect of PDT in infected wounds, burns, and soft tissue infections in mice. Not only were bacteria infecting wounds, burns, and abscesses killed, but mice were saved from death due to sepsis and wound healing was improved.
Port site metastases after laparoscopic colorectal surgery for cure of malignancy

and the majority of patients have acute ulcers (65 per cent)’. NSAIDs are a common aetiological factor. Although the incidence of H. pylon has been shown to be independent of sex it correlates closely with socioeconomic class, with an increased incidence in the lower socioeconomic groups’. This fact may account for the high proportion of patients infected with H. pylon in this study. In their study from Glasgow, Reinbach et aL3 found that only 47 per cent of patients presenting with acute perforated duodenal ulcer were positive for H. pylori, as opposed to 50 per cent of control patients. Thus, we agree that management of these patients should include closure of their perforation and therapy aimed at healing the ulcer. However, based on the present evidence it would not be cost-effective blindly to attempt to eradicate H. pylon in acute perforated duodenal ulcers as there is no evidence to suggest that it plays a specific role in their pathogenesis.
Enhancing semantic relation quality of UMLS knowledge sources

The quality of semantic tuples (semantic triples forming subject-predicate-object) has significant impact in most text mining and knowledge discovery applications. The practical success and usability of these applications momentously depends on the quality of the extracted semantic triples. Most biomedical semantic resources have been developed for different contexts focusing on the structural representation but with less attention on the acceptability and naturalness of the individual semantic triples. In this article, we presented an integrated approach for enhancing the quality of semantic tuples in the UMLS knowledge sources. The approach is based on the integration of three existing auditing techniques: avoiding redundant classifications of semantic concepts, reducing hierarchical and associative relationship inconsistencies. We evaluated the approach based on the number of identified wrongly assigned concepts and inconsistent relationships obtained. The quality of each semantic triple is evaluated based on the acceptability and naturalness of the semantic tuples. The evaluation shows promising results. In the evaluation, we have extracted 10,082 semantic triples randomly from UMLS and obtained 5646 taxonomically and 4436 non-taxonomically related semantic triples. 826 concepts are found redundantly classified and 352 are found hierarchically inconsistent. In non-taxonomic semantic triples, out of 4436, 726 are found to be inconsistent. The quality (acceptability and naturalness) of each semantic triples of the first 100 are also evaluated using domain experts. The Cohen's kappa coefficient is used to measure the degree of agreement between the annotators and the result is promising (0.8).
Clinical, Cosmetic and Investigational Dermatology Dovepress Assessment of a New Biological Complex Efficacy on Dysseborrhea, Inflammation, and Propionibacterium Acnes Proliferation

you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Introduction: Acne vulgaris is a common chronic inflammatory disease of the pilosebaceous unit triggered by Propionibacterium acnes. A bakuchiol, Ginkgo biloba extract, and mannitol (BGM) complex has been developed to provide patients with acne with a specific dermocosmetic to be used adjunctively with conventional treatments. Objective: The aim of these studies was to assess the antibacterial, anti-inflammatory, and antioxidative potential of BGM complex and its individual compounds as well as its impact on sebum composition. Methods: The antibacterial, anti-inflammatory, and antioxidative potential of BGM complex and its compounds was assessed through in vitro, ex vivo, and clinical studies. The clinical benefit of BGM complex formulated in a cream was assessed in subjects prone to acne through sebum composition analysis and photometric assessments. Results: Results from the studies showed that the BGM complex has significant antibacterial, anti-inflammatory, and antioxidative properties. At similar concentrations, bakuchiol has up to twice the antioxidative potential than vitamin E. In subjects, BGM complex regulated the sebum composition in acne patients by increasing the level of sapienic and linolenic acid and reducing the level of oleic acid. The reduced number of porphyrins on the skin surface showed that it is also effective against P. acnes. Conclusion: BGM complex provides a complete adjunctive care in patients with acne by targeting etiopathogenic factors of acne: dysseborrhea, inflammation, and P. acnes proliferation.
Medication safety and the usability of electronic prescribing as perceived by physicians—A semistructured interview among primary health care physicians in Finland

RATIONALE, AIMS AND OBJECTIVES In Finland, a fully operational and nationwide electronic prescription (ePrescription) system was implemented by law in 2012 to 2015. From 2017, all prescriptions have to be electronic. ePrescriptions are intended to facilitate prescribing and to improve medication safety in Finnish health care. In this study, the aim was to explore physicians' experiences with the impacts of ePrescriptions on prescribing and medication safety in Finland. METHOD Data were collected by conducting 42 interviews among primary health care physicians in spring 2015. The data obtained were analyzed by means of qualitative content analysis. RESULTS Most of the physicians considered ePrescriptions to be convenient to issue because of the paperless procedure. Additionally, physicians stated that information concerning patients' prescriptions was better available through the Prescription Centre since physicians were able to check patients' prescriptions, including those issued elsewhere. In particular, ePrescriptions have improved the control of narcotics and medicines classified as primarily affecting the central nervous system. However, establishing a patient's overall medication through the Prescription Centre was regarded as difficult because prescription information was sometimes incoherent and had not been updated. The ePrescribing system was also described as inflexible, especially the correcting, cancelling, or renewing of ePrescriptions. For example, the system required too many "mouse clicks" and PIN entries to justify the actions taken in prescriptions. The system's slowness and the poor connection between physicians' electronic patient records and the Prescription Centre were also underlined. CONCLUSIONS According to the Finnish physicians interviewed, ePrescriptions have facilitated prescribing in some respects. However, the ePrescribing system still has problems and the Prescription Centre cannot be fully used for the management of a patient's overall medication.
Jimbo: A Collaborative IDE with Live Preview

Team collaboration plays a key role in the success of any multi- user activity. Software engineering is a highly collaborative activity, where multiple developers and designers work together to solve a common problem. Meaningful and effective designer- developer collaboration improves the user experience, which can improve the chances of success for the project. Learning to program is another activity that can be implemented in a more collaborative way, students can learn in an active style by working with others. The growth of online classes, from small structured seminars to massive open online courses (MOOCs), and the isolation and impoverished learning experience some students report in these, points to an urgent need for tools that support remote pair programming in a distributed educational setting. In this paper, we describe Jimbo, a collaborative integrated development environment (IDE) that we believe is beneficial and effective in both aforementioned activities. Jimbo integrates many features that support better collaboration and communication between designers and developers, to bridge communication gaps and develop mutual understanding. These novel features can improve today’s CS education by bringing students closer to each other and their instructors as well as training them to collaborate which is consistent with current practices in software engineering.
Receipt of preventive care among adults: insurance status and usual source of care.

OBJECTIVES This study ascertained the separate and combined effects of having insurance and a usual source of care on receiving preventive services. METHODS Descriptive and multivariate analyses of 1996 Medical Expenditure Panel Survey data were conducted. RESULTS Receipt of preventive services was strongly associated with insurance and a usual source of care. Significant differences were found between insured adults with a usual source of care, who were most likely to have received services, compared with uninsured adults without regular care, who were least likely to have received services. Those with either a usual source of care or insurance had intermediate levels of preventive services. CONCLUSIONS Having a usual source of care and health insurance are both important to achieving national prevention goals.
Influence of softening test and light-activation protocols on resin composite polymer structure

Objective: This study analyzed the influences of the light-activation protocol and softening test on the degree of conversion (DC) and Knoop Hardness (KHN) of a microhybrid resin composite. Materials and Methods: Filtek Z250 (3M ESPE) was light-activated with a third-generation light-emitting diode (Valo Ultradent) by three protocols - standard, high power, and plasma emulation - or with a quartz-tungsten halogen XL 3000 (3M ESPE) in conventional mode. All modes were set to deliver 19 J/cm 2 . The DC (N = 20) was determined by Fourier transform infrared spectrometry on the top (T) and bottom (B) surfaces. For the KHN test, samples were subdivided in four groups (n = 5 each) according to the storage media: absolute ethanol, 75% ethanol, distilled water, and air (control group). The KHN values were evaluated on T and B before and 24 h after immersion in the storage media. Data were analyzed by split-plot analysis of variance (ANOVA; for DC) or repeated-measures split-plot ANOVA (for KHN), followed by Tukey′s test (α = 0.05). Results: For the DC, the light-activation protocol did not influence the results and there was no difference between T and B. For the KHN test, the light-activation protocol did not influence the results and T showed higher microhardness values than B for all experimental conditions. There were significant differences in KHN depending on the storage media. Samples immersed in absolute ethanol generally presented lower KHN values, with no differences compared to samples in 75% ethanol. Conclusion: The storage media affected the outcomes of the softening test.
NML-mediated rRNA base methylation links ribosomal subunit formation to cell proliferation in a p53-dependent manner

ABSTRACT Ribosomal RNAs (rRNAs) act as scaffolds and ribozymes in ribosomes, and these functions are modulated by post-transcriptional modifications. However, the biological role of base methylation, a well-conserved modification of rRNA, is poorly understood. Here, we demonstrate that a nucleolar factor, nucleomethylin (NML; also known as RRP8), is required for the N1-methyladenosine (m1A) modification in 28S rRNAs of human and mouse cells. NML also contributes to 60S ribosomal subunit formation. Intriguingly, NML depletion increases 60S ribosomal protein L11 (RPL11) levels in the ribosome-free fraction and protein levels of p53 through an RPL11–MDM2 complex, which activates the p53 pathway. Consequently, the growth of NML-depleted cells is suppressed in a p53-dependent manner. These observations reveal a new biological function of rRNA base methylation, which links ribosomal subunit formation to p53-dependent inhibition of cell proliferation in mammalian cells. Highlighted Article: Nucleomethylin (NML) is involved in m1A modification of 28S rRNA. NML deficiency suppresses 60S ribosomal subunit formation and activates the p53 pathway, thereby inhibiting cell proliferation.
Unsupervised image segmentation using local homogeneity analysis

In this paper, a novel method is presented for unsupervised image segmentation based on local homogeneity analysis. First, a criterion for homogeneity of a certain pattern is proposed. Applying the criterion to local windows in the original image results in the "H-image". The high and low values of the H-image correspond to possible region boundaries and region interiors respectively. Then, a region growing method is used to segment the image based on the H-image. Finally, visually similar regions are merged together to avoid over-segmentation. Experimental results on real images show the effectiveness and robustness of the method.