Miracle-dz/UniFAR-FTUs huggingface dataset:
Standardized Comparison of Selected Physiological Controllers for Rotary Blood Pumps: In Vitro Study

Various physiological controllers for left ventricular assist devices (LVADs) have been developed to prevent flow conditions that may lead to left ventricular (LV) suction and overload. In the current study, we selected and implemented six of the most promising physiological controllers presented in literature. We tuned the controllers for the same objectives by using the loop-shaping method from control theory. The in vitro experiments were derived from literature and included different preload, afterload, and contractility variations. All experiments were repeated with an increased or decreased contractility from the baseline pathological circulation and with simulated sensor drift. The controller performances were compared with an LVAD operated at constant speed (CS) and a physiological circulation. During preload variations, all controllers resulted in a pump flow change that resembled the cardiac output response of the physiological circulation. For afterload variations, the response varied among the controllers, whereas some of them presented a high sensitivity to contractility or sensor drift, leading to LV suction and overload. In such cases, the need for recalibration of the controllers or the sensor is indicated. Preload-based physiological controllers showed their clinical significance by outperforming the CS operation and promise many benefits for the LVAD therapy. However, their clinical implementation in the near future for long-term use is highly dependent on the sensor technology and its reliability.
Quantitative Limbic System Mapping of Main Cognitive Domains in Multiple Sclerosis

Background and objective Cognitive impairment (CI) is common in multiple sclerosis (MS), but underlying mechanisms and their imaging correlates are not completely understood. The gray and white matter structures of the limbic system (LS) play crucial roles in different aspects of cognition. To investigate their role in MS related CI, and since a detailed evaluations are lacking in the literature, we used a comprehensive neuroimaging approach to evaluate CI’s correlations with the main components of the LS. Methods Ten non-cognitively impaired MS patients and 30 MS patients with diagnosed CI, who underwent a comprehensive neuropsychological evaluation were included in the analysis. Microstructural integrity, volumetry of main limbic gray and white matter structures and cortical thickness were assessed for associations with CI. Results Fornix and cingulum/cingulate cortices were found to be the strongest correlates of CI in MS. As expected, LS’ gray and white matter structures were involved in various cognitive functions. Uncinate fasciculi showed significant correlation with verbal and visuospatial learning and memory, phonemic and semantic fluency; hippocampi with visuospatial skills, phonemic and semantic fluency, executive functions, and processing speed; thalami with verbal learning, visuospatial skills, semantic fluency; and amygdala with verbal recognition discrimination. Conclusion This comprehensive neuroimaging approach elucidated the role of the main limbic structures in cognitive functions associated with MS-related CI.
Prenatal Brain MR Imaging: Reference Linear Biometric Centiles between 20 and 24 Gestational Weeks

BACKGROUND AND PURPOSE: Evaluation of biometry is a fundamental step in prenatal brain MR imaging. While different studies have reported reference centiles for MR imaging biometric data of fetuses in the late second and third trimesters of gestation, no one has reported them in fetuses in the early second trimester. We report centiles of normal MR imaging linear biometric data of a large cohort of fetal brains within 24 weeks of gestation. MATERIALS AND METHODS: From the data bases of 2 referral centers of fetal medicine, accounting for 3850 examinations, we retrospectively collected 169 prenatal brain MR imaging examinations of singleton pregnancies, between 20 and 24 weeks of gestational age, with normal brain anatomy at MR imaging and normal postnatal neurologic development. To trace the reference centiles, we used the CG-LMS method. RESULTS: Reference biometric centiles for the developing structures of the cerebrum, cerebellum, brain stem, and theca were obtained. The overall interassessor agreement was adequate for all measurements. CONCLUSIONS: Reference biometric centiles of the brain structures in fetuses between 20 and 24 weeks of gestational age may be a reliable tool in assessing fetal brain development.
Straw Based Materials for Building Retrofitting and Energy Efficiency

This work aimed to measure the hygrothermal properties of some different straw-based mix that could be used as building materials (panels or bricks). Straw is used to improve the hygrothermal performances of the final products. Several mix were produced adding different percentages of straw. Two types of fibers were used: wheat straw and bean straw. The results indicated that increasing the percentages of straw greater effects on the change of thermal properties can be appreciated. Furthermore the results also reveal that the specimen produced by water glass and straw, without binder, has the highest values of hygric properties and thermal insulation.
Quantifying and improving the efficiency of hardware-based mobile malware detectors

Hardware-based malware detectors (HMDs) are a key emerging technology to build trustworthy systems, especially mobile platforms. Quantifying the efficacy of HMDs against malicious adversaries is thus an important problem. The challenge lies in that real-world malware adapts to defenses, evades being run in experimental settings, and hides behind benign applications. Thus, realizing the potential of HMDs as a small and battery-efficient line of defense requires a rigorous foundation for evaluating HMDs. We introduce Sherlock - a white-box methodology that quantifies an HMD's ability to detect malware and identify the reason why. Sherlock first deconstructs malware into atomic, orthogonal actions to synthesize a diverse malware suite. Sherlock then drives both malware and benign programs with real user-inputs, and compares their executions to determine an HMD's operating range, i.e., the smallest malware actions an HMD can detect. We show three case studies using Sherlock to not only quantify HMDs' operating ranges but design better detectors. First, using information about concrete malware actions, we build a discrete-wavelet transform based unsupervised HMD that outperforms prior work based on power transforms by 24.7% (AUC metric). Second, training a supervised HMD using Sherlock's diverse malware dataset yields 12.5% better HMDs than past approaches that train on ad-hoc subsets of malware. Finally, Sherlock shows why a malware instance is detectable. This yields a surprising new result - obfuscation techniques used by malware to evade static analyses makes them more detectable using HMDs.
Microblog Processing: A Study

Sensing Microblog from retrieval and summarization become the challenging area for the Information retrieval community. Twitter is one of the most popular micro blogging platforms. In this paper, Twitter posts called tweets are studied from retrieval and extractive summarization perspectives. Given a set of topics or interest profiles or information requirement, a Microblog summarization system is desinged which process Twitter sample status stream and generate day-wise, topic-wise tweet summary. Since volume of the Twitter public status stream is very large, tweet filtering or relevant tweet retrieval is the primary task for the summarization system. To measure the relevance between tweets and interest profiles, Language model with Jelinek-mercer smoothing, Dirichlet smoothing and Okapi BM25 model are used. Behaviour of Language Model smoothing parameter λ for JM-smoothing and μ for dirichlet smoothing is also studied. Summarization is anticipated as clustering problem. TREC MB 2015 and TREC RTS 2016 dataset is used to perform experiment. TREC RTS official metrics nDCG@10 − 1 and nDCG@10 − 0 are used to evaluate outcome of experiment. A detailed post hoc analysis is also performed on experiment results.
Honokiol, an activator of Sirtuin-3 (SIRT3) preserves mitochondria and protects the heart from doxorubicin-induced cardiomyopathy in mice

Doxorubicin is the chemotherapeutic drug of choice for a wide variety of cancers, and cardiotoxicity is one of the major side effects of doxorubicin treatment. One of the main cellular targets of doxorubicin in the heart is mitochondria. Mitochondrial sirtuin, SIRT3 has been shown to protect against doxorubicin-induced cardiotoxicity. We have recently identified honokiol (HKL) as an activator of SIRT3, which protects the heart from developing pressure overload hypertrophy. Here, we show that HKL-mediated activation of SIRT3 also protects the heart from doxorubicin-induced cardiac damage without compromising the tumor killing potential of doxorubicin. Doxorubicin-induced cardiotoxicity is associated with increased ROS production and consequent fragmentation of mitochondria and cell death. HKL-mediated activation of SIRT3 prevented Doxorubicin induced ROS production, mitochondrial damage and cell death in rat neonatal cardiomyocytes. HKL also promoted mitochondrial fusion. We also show that treatment with HKL blocked doxorubicin-induced cardiac toxicity in mice. This was associated with reduced mitochondrial DNA damage and improved mitochondrial function. Furthermore, treatments of mice, bearing prostrate tumor-xenografts, with HKL and doxorubicin showed inhibition of tumor growth with significantly reduced cardiac toxicity. Our results suggest that HKL-mediated activation of SIRT3 protects the heart from doxorubicin-induced cardiotoxicity and represents a potentially novel adjunct for chemotherapy treatments.
Blind estimation of states and topology (BEST) in power systems

In this paper, we consider the problem of state estimation and topology identification in power systems. We assume the DC model of real power measurements with unknown voltage phases and an unknown admittance matrix. We show that this problem is equivalent to the blind source separation (BSS) problem, where the mixing matrix is a weighted Laplacian matrix. We propose two new Blind Estimation of States and Topology (BEST) methods for this problem. The first method, Cov-BEST, is based on utilizing the states' second-order statistics and the positive-definiteness of the reduced Laplacian matrix. The second method, Generalized Laplacian Separation (GLS)-BEST, is obtained by applying any general BSS method, followed by an approach that resolves the inherent BSS ambiguities by utilizing the Laplacian matrix properties. In contrast to existing methods, the proposed methods achieve full recovery of the topology matrix and are not limited to matrix eigenvectors estimation. The performance of the proposed methods is evaluated for a general network with an arbitrary number of buses and for the IEEE-14 bus system, and compared with the oracle state estimator.
Electronic prescribing system design priorities for antimicrobial stewardship: a cross-sectional survey of 142 UK infection specialists

Background The implementation of electronic prescribing and medication administration (EPMA) systems is a priority for hospitals and a potential component of antimicrobial stewardship (AMS). Objectives To identify software features within EPMA systems that could potentially facilitate AMS and to survey practising UK infection specialist healthcare professionals in order to assign priority to these software features. Methods A questionnaire was developed using nominal group technique and transmitted via email links through professional networks. The questionnaire collected demographic data, information on priority areas and anticipated impact of EPMA. Responses from different respondent groups were compared using the Mann-Whitney U -test. Results Responses were received from 164 individuals (142 analysable). Respondents were predominantly specialist infection pharmacists (48%) or medical microbiologists (37%). Of the pharmacists, 59% had experience of EPMA in their hospitals compared with 35% of microbiologists. Pharmacists assigned higher priority to indication prompt ( P < 0.001), allergy checker ( P = 0.003), treatment protocols ( P = 0.003), drug-indication mismatch alerts ( P = 0.031) and prolonged course alerts ( P = 0.041) and lower priority to a dose checker for adults ( P = 0.02) and an interaction checker ( P < 0.05) than microbiologists. A 'soft stop' functionality was rated essential or high priority by 89% of respondents. Potential EPMA software features were expected to have the greatest impact on stewardship, treatment efficacy and patient safety outcomes with lowest impact on Clostridium difficile infection, antimicrobial resistance and drug expenditure. Conclusions The survey demonstrates key differences in health professionals' opinions of potential healthcare benefits of EPMA, but a consensus of anticipated positive impact on patient safety and AMS.
Association Between the Interleukin-10-1082G/A, -592C/A, -819C/T Gene Polymorphism and HIV-1 Susceptibility: A Meta-Analysis.

The Interleukin-10 (IL-10) gene polymorphism influences the pathogenesis and evolution of HIV-1 disease. Many studies in this regard have evaluated the association between this polymorphism and HIV-1 susceptibility, yet, the exact relationship between them remains ambiguous and contradictory. A systematic literature search was conducted and the found case-control studies assessing the association between IL-10-1082G/A, -592C/A, -819C/T gene polymorphism and HIV-1 susceptibility were analyzed. The pooled odds ratios (ORs) and 95% confidence interval (CI) were calculated by a fixed effect model. In general, no significant relationship was found between IL-10-1082G/A gene polymorphism and susceptibility to HIV-1 infection (A vs. G genotype model: OR = 0.97, 95% CI = 0.81-1.23, p = .775; GG vs. AA+AG model: OR = 0.98, 95% CI = 0.76-1.27, p = .867; GG+AG vs. AA model: OR = 0.97, 95% CI = 0.70-1.35, p = .852; GG vs. AA model: OR = 0.88, 95% CI = 0.67-1.15, p = .348; AG vs. AA model: OR = 0.96, 95% CI = 0.67-1.37, p = .811; GG+AA vs. AG model: OR = 1.03, 95% CI = 0.74-1.43, p = .886). IL-10-529C/A gene polymorphism might lead to a decreased risk of HIV-1 infection (A vs. G genotype model: OR = 0.88, 95% CI = 0.73-1.06, p = .166; GG vs. AA+AG model: OR = 0.94, 95% CI = 0.80-1.11, p = .447; GG+AG vs. AA model: OR = 0.75, 95% CI = 0.61-0.92, p = .005; GG vs. AA model: OR = 0.73, 95% CI = 0.57-0.93, p = .012; AG vs. AA model: OR = 0.74, 95% CI = 0.60-0.92, p = .0.007; GG+AA vs. AG model: OR = 1.11, 95% CI = 0.72-1.71, p = .641). IL-10-819C/T gene polymorphism might lead to an increased risk of HIV-1 infection (A vs. G genotype model: OR = 1.25, 95% CI = 1.04-1.50, p = .019; GG vs. AA+AG model: OR = 1.29, 95% CI = 0.81-2.01, p = .278; GG+AG vs. AA model: OR = 1.42, 95% CI = 1.05-1.93, p = .023; GG vs. AA model: OR = 1.63, 95% CI = 1.11-2.38, p = .012; AG vs. AA model: OR = 1.32, 95% CI = 0.95-1.84, p = .094; GG+AA vs. AG model: OR = 0.92, 95% CI = 0.72-1.19, p = .537). In general, the meta-analysis found no marked association between the IL-10-1082G/A gene polymorphism and HIV-1 susceptibility, IL-10-529C/A gene polymorphism might lead to a decreased risk of HIV-1 infection, and IL-10-819C/T gene polymorphism might lead to an increased risk of HIV-1 infection.
Development of versatile Ni-base corrosion resistant alloy

Based on the APF method and advanced corrosion resistant alloys available now,six schemes(APF from 2.5 to 3.3)were designed for versatile Ni-base corrosion resistant alloys,which were prepared by using vacuum induction melting and manual electro-arc furnace,with a good result.Alloys designed and 1Cr18Ni9Ti are dipped into the reducing and oxidizing acid medium,and their corrosion resistance was compared.Experimental results show that alloys(APF from 2.5 to 3.3) have excellent corrosion resistance and catholicity. After solid-solution treatment,the corrosion resistance is improved.As APF increases,the corrosion resistance in oxidizing medium is improved and that in the reducing medium is decreased.
Energy efficiency of ultra-dense small-cell downlink networks with adaptive cell breathing

The authors propose an adaptive cell-breathing (ACB) technique to improve the energy efficiency (EE) of a downlink cellular network consisting of small-cell base stations (BSs), wherein each BS adaptively adjusts its transmission power such that the received signal strength of the worst-case user is larger than a pre-defined threshold. They also propose an aggressive BS on-off (ABO) technique in which the small-cell BSs having a number of users smaller than a certain value, N th , are turned off, whereas conventional techniques only turn off the empty BSs. They adopt a stochastic geometry for modelling the locations of both BSs and users. Simulation results show that the ACB technique yields a much better EE than the power on-off technique with a fixed power, including the ABO technique. In particular, the EE of the ACB technique is proportional to (λ b ) c (c > 0), where λ b denotes the BS density and the exponent c denotes the increasing ratio of the EE to λ b in the log - log domain. The EE of the ABO technique tends to increase as N th increases.
Convoys of Social Relations in Cross-National Context

Purpose of the Study This study examines national variations in social networks among older adults across 4 countries in diverse regions of the world: Japan, Lebanon, Mexico, and the United States. The aim is to provide insights into universal as well as unique attributes of social networks in later life. Design and Methods The analyses examine convoy characteristics among adults aged 50+ in metropolitan areas of Japan (N = 557), Lebanon (N = 284), Mexico (N = 556), and the United States (N = 583). Data were collected using the hierarchical mapping technique on representative samples in each locale. Multilevel models were conducted by nation to examine whether convoy characteristics vary by age and closeness. Results Network size and geographic proximity were dimensions of social networks sensitive to national context. By contrast, how age and feelings of closeness varied with contact frequency and the presence of children in networks revealed universal patterns. Furthermore, feelings of closeness varied by age with regard to size and contact frequency in Lebanon, proximity in Japan, and composition in Mexico. Implications Identifying universal and unique characteristics of social networks in later life provide a preliminary empirical basis upon which to advance a global perspective on convoys of social relations and how they inform policies that can facilitate health and well-being among middle-aged and older people around the world.
A Fish Eye Out of Water: Ten Visual Opsins in the Four-Eyed Fish, Anableps anableps

The “four-eyed” fish Anableps anableps has numerous morphological adaptations that enable above and below-water vision. Here, as the first step in our efforts to identify molecular adaptations for aerial and aquatic vision in this species, we describe the A. anableps visual opsin repertoire. We used PCR, cloning, and sequencing to survey cDNA using unique primers designed to amplify eight sequences from five visual opsin gene subfamilies, SWS1, SWS2, RH1, RH2, and LWS. We also used Southern blotting to count opsin loci in genomic DNA digested with EcoR1 and BamH1. Phylogenetic analyses confirmed the identity of all opsin sequences and allowed us to map gene duplication and divergence events onto a tree of teleost fish. Each of the gene-specific primer sets produced an amplicon from cDNA, indicating that A. anableps possessed and expressed at least eight opsin genes. A second PCR-based survey of genomic and cDNA uncovered two additional LWS genes. Thus, A. anableps has at least ten visual opsins and all but one were expressed in the eyes of the single adult surveyed. Among these ten visual opsins, two have key site haplotypes not found in other fish. Of particular interest is the A. anableps-specific opsin in the LWS subfamily, S180γ, with a SHYAA five key site haplotype. Although A. anableps has a visual opsin gene repertoire similar to that found in other fishes in the suborder Cyprinodontoidei, the LWS opsin subfamily has two loci not found in close relatives, including one with a key site haplotype not found in any other fish species. A. anableps opsin sequence data will be used to design in situ probes allowing us to test the hypothesis that opsin gene expression differs in the distinct ventral and dorsal retinas found in this species.
Human wound photogrammetry with low-cost hardware based on automatic calibration of geometry and color

Photographic documentation and image-based wound assessment is frequently performed in medical diagnostics, patient care, and clinical research. To support quantitative assessment, photographic imaging is based on expensive and high-quality hardware and still needs appropriate registration and calibration. Using inexpensive consumer hardware such as smartphone-integrated cameras, calibration of geometry, color, and contrast is challenging. Some methods involve color calibration using a reference pattern such as a standard color card, which is located manually in the photographs. In this paper, we adopt the lattice detection algorithm by Park et al. from real world to medicine. At first, the algorithm extracts and clusters feature points according to their local intensity patterns. Groups of similar points are fed into a selection process, which tests for suitability as a lattice grid. The group which describes the largest probability of the meshes of a lattice is selected and from it a template for an initial lattice cell is extracted. Then, a Markov random field is modeled. Using the mean-shift belief propagation, the detection of the 2D lattice is solved iteratively as a spatial tracking problem. Least-squares geometric calibration of projective distortions and non-linear color calibration in RGB space is supported by 35 corner points of 24 color patches, respectively. The method is tested on 37 photographs taken from the German Calciphylaxis registry, where non-standardized photographic documentation is collected nationwide from all contributing trial sites. In all images, the reference card location is correctly identified. At least, 28 out of 35 lattice points were detected, outperforming the SIFT-based approach previously applied. Based on these coordinates, robust geometry and color registration is performed making the photographs comparable for quantitative analysis.