Miracle-dz/UniFAR-FTUs huggingface dataset:
Hypertrophic cardiomyopathy with a large apical ventricular aneurysm and mural thrombus

Hypertrophic cardiomyopathy (HCM) is characterized by increased left ventricular wall thickness in the absence of any other identifiable cause of thickness. It predisposes the patient to increased risk of sudden cardiac death (SCD) due to fatal arrhythmias. Approximately 2% of the HCM patients have left ventricular apical aneurysm. CMR imaging is better in identifying this apical aneurysm as compared to echocardiogram. This apical aneurysm, which can be akinetic or dyskinetic, increases the risk of disease-related adverse events as compared to general HCM. These adverse disease-related events include SCD, thromboembolism, and symptoms of heart failure. We report a rare case of hypertrophic cardiomyopathy in association with Williams-Beuren Syndrome. On CMR imaging, patient was found to have a large apical aneurysm and mid-ventricular obstruction with underlying thrombus. He was started on oral anticoagulation, and ICD was recommended.
Mycenaflavin A, B, C, and D: Pyrroloquinoline Alkaloids from the Fruiting Bodies of the Mushroom Mycena haematopus.

Four so far unknown pyrroloquinoline alkaloids, yellow mycenaflavins A, B, and C, and the purple mycenaflavin D, have been isolated from the fruiting bodies of Mycena haematopus. The structures of these new alkaloids were elucidated by NMR spectroscopy and HRMS (ESI+ ). The mycenaflavins are structurally related to mycenarubins and haematopodins, which have been previously identified in M. haematopus. However, compared with other known fungal pyrroloquinoline alkaloids, the mycenaflavins contain an additional double bond within the pyrroloquinoline moiety that accounts for the yellow colour of the monomeric mycenaflavins A, B, and C. The purple mycenaflavin D is the first known dimeric pyrroloquinoline alkaloid with a C-C bridge between the two pyrroloquinoline units. Although the minor pyrroloquinoline alkaloid constituent mycenaflavin A exhibits only moderate bioactivity against the soil bacterium Azoarcus tolulyticus, the major pyrroloquinoline alkaloid constituent haematopodin B is similarly active as the antibiotic gentamicin.
The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature

Background Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change. Objective Our aim was to systematically review the (1) impact of IT platforms used to promote patients’ engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes. Methods PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria. Results A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170). Conclusions In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.
A Write-Friendly and Cache-Optimized Hashing Scheme for Non-Volatile Memory Systems

Non-volatile memory technologies (NVMs) are promising candidates for building future memory systems, due to their advantages of high density, high scalability, and requiring near-zero standby power, while suffering from the limited endurance and asymmetric properties of reads and writes, compared with traditional memory technologies including DRAM and SRAM. The significant changes of low-level memory devices cause nontrivial challenges to high-level in-memory and in-cache data structure design due to overlooking the NVM device properties. In this paper, we study an important and common data structure, hash table, which is ubiquitous and widely used to construct the index and lookup table in main memory and caches. Based on the observations that existing hashing schemes cause many extra writes to NVMs, we propose a cost-efficient write-friendly hashing scheme, called path hashing, which incurs no extra writes to NVMs while delivers high performance. The basic idea of path hashing is to leverage a novel hash-collision resolution method, i.e., position sharing, which meets the needs of insertion and deletion requests without extra writes to NVMs. By further exploiting double-path hashing and path shortening techniques, path hashing delivers high performance of hash tables in terms of space utilization and request latency. Nevertheless, the original path hashing has low utilization of each cache line for small items, causing low cache efficiency. We hence propose a cache-optimized path hashing to pack multiple cells in the same path together and store them into one cache line, thus improving the cache line utilization to obtain higher performance. We have implemented path hashing and used a gem5 full system simulator with NVMain to evaluate its performance in the context of NVMs. Extensive experimental results demonstrate that path hashing incurs no extra writes to NVMs, and achieves up to 95 percent space utilization ratio as well as low request latency, compared with existing state-of-the-art hashing schemes. We have released the source code of path hashing for public use at github.
Human Chitinases and Chitinase-Like Proteins as Indicators for Inflammation and Cancer

Human Glyco_18 domain-containing proteins constitute a family of chitinases and chitinase-like proteins. Chitotriosidase and AMCase are true enzymes which hydrolyse chitin and have a C-terminal chitin-binding domain. YKL-40, YKL-39, SI-CLP and murine YM1/2 proteins possess solely Glyco_18 domain and do not have the hydrolytic activity. The major sources of Glyco_18 containing proteins are macrophages, neutrophils, epithelial cells, chondrocytes, synovial cells, and cancer cells. Both macrophages and neutrophils use the regulated secretory mechanism for the release of Glyco_18 containing proteins. Glyco_18 containing proteins are established biomarkers for human diseases. Chitotriosidase is overproduced by lipid-laden macrophages and is a major marker for the inherited lysosomal storage Gaucher disease. AMCase and murine lectin YM1 are upregulated in Th2-environment, and enzymatic activity of AMCase contributes to asthma pathogenesis. YKL proteins act as soluble mediators for the cell proliferation and migration, and are also involved in rheumatoid arthritis, inflammatory bowel disease, hepatic fibrosis and cirrhosis. Chitotriosidase and YKL-40 reflect the macrophage activation in atherosclerotic plaques. Serum level of YKL-40 is a diagnostic and prognostic marker for numerous types of solid tumors. YKL-39 is a marker for the activation of chondrocytes and the progression of the osteoarthritis in human. Recently identified SI-CLP is upregulated by Th2 cytokine IL-4 as well as by glucocorticoids. This unique feature of SI-CLP makes it an attractive candidate for the examination of individual sensitivity of patients to glucocorticoid treatment and prediction of side effects of glucocorticoid therapy. Human chitinases and chitinase-like proteins are found in tissues and circulation, and can be detected by non-invasive technologies.
Local and Global Feature Descriptors Combination from RGB-Depth Videos for Human Action Recognition

This paper attempts to present human action recognition through the combination of local and global feature descriptors values, which are extracted from RGB and Depth videos. A video sequence is represented as a collection of spatio and spatio-temporal features. However, the challenging problems exist in both local and global descriptors for classifying human actions. We proposed a novel combination of the two descriptor methods, 3D trajectory and motion boundary histogram for the local feature and global Gist feature descriptor for the global feature (3DTrMBGG). To solve the problems of the structural information among the local descriptors, and clutter background and occlusion among the global descriptor, the combination of the local and global features descriptor is used. In this paper, there are three novel combination steps of video descriptors. First, combines motion and 3D trajectory shape descriptors. Second, extract the structural information using global gist descriptor. Third, combines these two descriptor steps to get the 3DTrMBGG feature vector from spatio-temporal domains. The results of the 3DTrMBGG features are used along with the K-mean clustering and multi-class support vector machine classifier. Our new method on several video actions improves performance on actions even with low movement rate and outperforms the competing state-of-the-art -temporal feature-based human action recognition methods.
REGENERACIÓN ÓSEA GUIADA PARA IMPLANTES DENTALES POSEXODONCIA GUIDED BONE REGENERATION FOR IMMEDIATE SINGLE-TOOTH IMPLANTS FOLLOWING TOOTH EXTRACTION

3,c ABSTRACT The treatment with guided bone regeneration nowadays is considered to be a predictable therapy to promote the regeneration of bone in the maxillary with the purpose of creating a bed for the positioning of the implants. The treatment plan involved the extraction of residual root and preservation of bony ridge through guided bone regeneration (GBR) with absorbable collagen membrane and s tricalcium phosphate as a graft material for piece 2.1, at 04 months a second surgery was made to piece 1.2 with the same diagnosis and treatment plan, then a third surgery at 12 months with the inclusion of 2 dental implants and guided bone regeneration with resorbable collagen membrane and organic bovine bone as lyophilized bovine graft material in the bone deficit. After 15 months, the functional loading of single implants was performed, no having complications to date. In the present article a clinical case is exposed describing the treatment of guided bony regeneration for the conservation of curbing and placement of the dental implants and its respective rehabilitation with crowns. (Kiru. 2013;10(1):55-62).
Association Between MicroRNAs Polymorphisms and Risk of Ischemic Stroke: A Meta-Analysis in Chinese Individuals

Objective: Previous studies have demonstrated that some single-nucleotide polymorphisms (SNPs) in miRNAs are related to the risk of ischemic stroke (IS), but the conclusions are still controversial and inconclusive. We performed this meta-analysis to further assess the association between miR-146a C>G (rs2910164), miR-149 T>C (rs2292832), miR-196a2 T>C (rs11614913), miR-499 A>G (rs3746444) and risk of IS in Chinese individuals. Methods: Relevant studies were identified in the databases of PubMed, Embase. The strength of correlation between microRNAs polymorphisms and IS risk was assessed by odds ratios (ORs) and 95% confidence intervals (95% CIs) under five genetic models. Results: 5 studies, containing 2,632 cases and 3,191 controls, were included in this meta-analysis. The overall results of meta-analysis indicated that there were no significant association between miR-146a C>G (rs2910164), miR-149 T>C (rs2292832), miR-196a2 T>C (rs11614913), and the IS risk in the overall analyses. MiR-499 A>G (rs3746444) was associated with an increased IS risk under allele model (OR = 1.30, 95% CI = 1.02–1.66), heterozygous model (OR = 1.35, 95% CI = 1.01–1.79) and dominant model (OR = 1.36, 95% CI = 1.02–1.80) in Chinese. The sensitivity analysis results of these four polymorphisms were similar to the overall results. Conclusion: MiR-499 A>G (rs3746444) G allele and AG, AG + AA genotype might be risk factors of IS in Chinese. No significant association was observed between miR-146a C>G (rs2910164), miR-149 T>C (rs2292832), miR-196a2 T>C (rs11614913), and IS risk. The associations may be different due to geographical factors of China. More explorations in more diverse geographically regions with large sample size are expected to further verify the findings in the future.
Sparse Least Squares Twin Support Vector Machines with Manifold-preserving Graph Reduction

Least squares twin support vector machines are a new non-parallel hyperplane classifier, in which the primal optimization problems of twin support vector machines are modified in least square sense and inequality constraints are replaced by equality constraints. In classification problems, enhancing the robustness of least squares twin support vector machines and reducing the time complexity of kernel function evaluation of a new example when inferring the label of a new example are very important. In this paper, we propose a new sparse least squares twin support vector machines based on manifold-preserving graph reduction which is an efficient graph reduction algorithm with manifold assumption. This method first selects informative examples for positive examples and negative examples, respectively and then applies them for classification. Experimental results confirm the feasibility and effectiveness of our proposed method.
Whole-genome resequencing reveals signatures of selection and timing of duck domestication

Abstract Background The genetic basis of animal domestication remains poorly understood, and systems with substantial phenotypic differences between wild and domestic populations are useful for elucidating the genetic basis of adaptation to new environments as well as the genetic basis of rapid phenotypic change. Here, we sequenced the whole genome of 78 individual ducks, from two wild and seven domesticated populations, with an average sequencing depth of 6.42X per individual. Results Our population and demographic analyses indicate a complex history of domestication, with early selection for separate meat and egg lineages. Genomic comparison of wild to domesticated populations suggests that genes that affect brain and neuronal development have undergone strong positive selection during domestication. Our FST analysis also indicates that the duck white plumage is the result of selection at the melanogenesis-associated transcription factor locus. Conclusions Our results advance the understanding of animal domestication and selection for complex phenotypic traits.
Robust Transmit Beamforming With Artificial Redundant Signals for Secure SWIPT System Under Non-Linear EH Model

This paper investigates the secure transmit design for simultaneous wireless information and power transfer system under the non-linear energy harvesting (EH) model, where a transmitter sends confidential information and transfers energy to multiple information receivers (IRs) and EH receivers (ERs) with the existence of multiple eavesdroppers (Eves). To prevent confidential information leakage, multiple artificial redundant signals (MARSs) are embedded in the transmit signals. The goal is to minimize the total transmit power by jointly optimizing transmit beamforming vectors and the covariance matrixes of MARSs, such that the minimal information rate and EH requirements at IRs and ERs are guaranteed while making the received signal-to-Interference ratio at ERs and Eves lower than their information decoding thresholds. Both the non-robust and the robust designs are studied. For the non-robust design, the optimal solution is derived. For the robust design, an approximate optimal solution is obtained by using Gaussian randomization procedure. Simulation results show that compared with traditional non-MARS-aided beamforming design, our proposed design is superior in terms of the total required transmit power. It also shows that employing the non-linear EH model can avoid false output power at the ERs and/or save power at the transmitter.
Cyber and Physical Security Vulnerability Assessment for IoT-Based Smart Homes

The Internet of Things (IoT) is an emerging paradigm focusing on the connection of devices, objects, or “things” to each other, to the Internet, and to users. IoT technology is anticipated to become an essential requirement in the development of smart homes, as it offers convenience and efficiency to home residents so that they can achieve better quality of life. Application of the IoT model to smart homes, by connecting objects to the Internet, poses new security and privacy challenges in terms of the confidentiality, authenticity, and integrity of the data sensed, collected, and exchanged by the IoT objects. These challenges make smart homes extremely vulnerable to different types of security attacks, resulting in IoT-based smart homes being insecure. Therefore, it is necessary to identify the possible security risks to develop a complete picture of the security status of smart homes. This article applies the operationally critical threat, asset, and vulnerability evaluation (OCTAVE) methodology, known as OCTAVE Allegro, to assess the security risks of smart homes. The OCTAVE Allegro method focuses on information assets and considers different information containers such as databases, physical papers, and humans. The key goals of this study are to highlight the various security vulnerabilities of IoT-based smart homes, to present the risks on home inhabitants, and to propose approaches to mitigating the identified risks. The research findings can be used as a foundation for improving the security requirements of IoT-based smart homes.
Class E RF tuned power amplifiers in CMOS technologies: theory and circuit design considerations

The article introduces several configurations of class E power amplifiers in CMOS technologies. Each configuration, however, alleviates some problems in the design of class E power amplifiers. The two-stage class E power amplifier reveals the design technique for the driving stage, which provides a more efficient driving signal in terms of class E operation. The complementary configuration takes advantage of the symmetrical circuit topology, which allows much lower total harmonic distortion in the output signal. The power-adaptive technique based on high-Q varactors gives a more feasible and effective approach to achieving the function of output power control for switching-mode power amplifiers. An approach to implement linear power amplification using switching mode power amplifiers is also introduced that can achieve linear amplification while still keeping high power efficiency and output power.
Speech-Driven Facial Reenactment Using Conditional Generative Adversarial Networks

We present a novel approach to generating photo-realistic images of a face with accurate lip sync, given an audio input. By using a recurrent neural network, we achieved mouth landmarks based on audio features. We exploited the power of conditional generative adversarial networks to produce highly-realistic face conditioned on a set of landmarks. These two networks together are capable of producing a sequence of natural faces in sync with an input audio track.
Analysis of two-input Switched Inductor-Capacitor Hybrid Buck-SEPIC DC-DC converter

This paper introduces a Two-input Switched Inductor Capacitor Hybrid Buck-SEPIC DC-DC converter (TISICHBSC) topology useful for various DC power applications. The converter falls into a category of electrically coupled Multi-input DC-DC Converters (MICs) which can provide adequate bucking of voltage even at higher duty ratios. As it offers excessive bucking the converter uses additional energy storage elements, so it is of sixth order family MIC. It is a modified converter topology of earlier proposed Two-input Hybrid Buck SEPIC (TIHBSC) converter. A 36/12 V to 24 V, with power capacity of, 100W prototype is considered to validate the proposed concept. The controllers are designed in discrete domain based on Quantitative feedback theory (QFT) to obtain the robust performance. The theoretical analysis is validated through simulations.
Study on Relationship between Beijing's Living Water Demand and Urbanization with Simple Partial Least-Squares Regression

The rapid economic development has brought great change to the city of Beijing, and the living water demand is an important concern during the process of the booming urbanization. In this paper, the influence of urbanization on the citypsilas living water demand is analyzed. The indexes indicating urbanization were carefully chosen, and by studying the historical data of the city living water demand a simple partial least-squares (PLS) regression was constructed. The method provided an effective quantitative analysis for city water resource management, and could also be used for future prediction of living water demand.
KIF9-AS1, LINC01272 and DIO3OS lncRNAs as novel biomarkers for inflammatory bowel disease

Long non-coding RNAs (lncRNAs) are a novel group of non-coding RNAs that are associated with inflammation and tumorigenesis. At present, the diagnostic efficacy of lncRNAs in inflammatory bowel disease (IBD) is unclear. The present study aimed to identify lncRNAs that may be used as potential biomarkers for IBD. The mRNA expression levels of various lncRNAs (KIF9-AS1, LINC01272 and DIO3OS) were detected in tissue and plasma samples from patients with IBD by reverse transcription-quantitative polymerase chain reaction. The results indicated that the mRNA expression levels of KIF9-AS1 and LINC01272 were significantly upregulated in tissue and plasma samples from patients with IBD compared with in the healthy controls; conversely, the mRNA expression levels of DIO3OS were significantly downregulated in tissue and plasma samples from patients with IBD compared with in the healthy controls. Subsequently, the specificity and sensitivity of KIF9-AS1, LINC01272 and DIO3OS were determined using a receiver operating characteristic (ROC) curve analysis. The results indicated that KIF9-AS1, LINC01272 and DIO3OS had potential diagnostic value for the detection of IBD. Furthermore, there were significantly positive correlations in KIF9-AS1, LINC01272 and DIO3OS expression between IBD tissue and plasma samples. Therefore, the present study indicated that KIF9-AS1, LINC01272 and DIO3OS may be potential diagnostic biomarkers for IBD.