Miracle-dz/UniFAR-FTUs huggingface dataset:
Generative modeling for label-free glomerular modeling and classification

Generative modeling using GANs has gained traction in machine learning literature, as training does not require labeled datasets. This is perfect for applications in biological datasets, where large labeled datasets are often difficult and expensive to acquire. However, generative models offer no easy way to encode real images into feature-sets, something that is desirable for network explainability and may yield potentially informative image features. For this reason, we test a VAE-GAN architecture for label-free modeling of glomerular structural features. We show that this network can generate realistic looking synthetic images, and be used to interpolate between images. To prove the biological relevance of the network encodings, we classify small-labeled sets of encoded glomeruli by biopsy Tervaert class and for the presence of sclerosis, obtaining a Cohen's kappa values of 0.87 and 0.78 respectfully.
Diabetes mellitus gestacional / Gestational diabetes mellitus

O diabetes mellitus gestacional (DMG) esta associado a ocorrencia de intolerância a glicose, cujo inicio ou reconhecimento sao evidenciados durante a gravidez e que podem perdurar ou nao apos o parto. Nos EUA sua incidencia e de aproximadamente 4,0%, aumentando o risco de complicacoes como pre-eclâmpsia, poliidrâmnio e macrossomia fetal. Segundo as diretrizes do Ministerio da Saude, o rastreamento do DMG deve ser realizado ja na primeira consulta de pre-natal, atraves da pesquisa dos fatores de risco e da avaliacao glicemica inicial. Caso seja confirmada a positividade dos resultados, segue-se para o diagnostico confirmatorio, realizado normalmente entre a 24a e 28a semana gestacional. Uma vez confirmado o diagnostico, a gestante devera ser orientada quanto a necessidade de adequacao glicemica, do estabelecimento de um plano dietetico compativel e de um programa de exercicios fisicos elaborado individualmente. Caso necessario, deve-se iniciar a insulinoterapia a fim de evitar e minimizar os riscos para a gestante e para o feto. Descritores : Diabetes gestacional/diagnostico, Glicemia
Study Of Cardic Valvular Calcification In ESRD Patients On Regular Hemodialysis (A Single Center Study)

Cardiac valve calcification are common among patients with chronic kidney disease (CKD). Risk factors include alterations in calcium and phosphorus metabolism, elevated calcium phosphorus product and persistent elevations in plasma parathyroid hormone (PTH). Echocardiography is a simple and inexpensive method for detection of valvular calcifications as suggested by KDIGO guidelines. 60 Patients on regular HD constituted group A (36 males and 24 females) and 25 healthy volunteers constituted group B. Group A was subdivided into: Group I: 21 patients with no valvular calcification, group 2: 26 patients with aortic valve calcification and group 3: 13 patients with aortic and mitral valve calcification. For all, the following was done: clinical examination, serum Ca, serum P, serum albumin, serum creatinine, BUN and PTH level in blood. M-mode echo cardiography was done for all. Age, duration of dialysis and duration of 1ry kidney disease was higher in group 2 and 3 compared to group 1 (p = 0.0001). Calcium was higher in group 2 than group 1 (p = 0.09) and group 3 (p = 0.004) than group I phosphorus was higher in group 2 and 3 than group 1 (P = 0.001). P was higher in group 3 than group 2 (p = 0.0001). Ca x P was higher in group 2 and 3 than group 1 (p = 0.0001), in group 3 than group 2 (p = 0.01) PTH was higher in group 1 than group 2 (p = 0.06). Cardiac dysfunction by echocardiography was least in group 1, increasing in group 2 and being highest in group 3. It was found that calcified valve groups has taken higher doses of Calcium and Vitamin D3 . We have to take care on prescribing Ca and vitamin D3 to ESRD patients on regular HD.
The Role of Onabotulinum Toxin Type A in the Management of Chronic Non-migraine Headaches

Objectives: FDA has approved Onabotulinum toxin type A (BoNTA) for prophylactic treatment of chronic migraines. Recent studies have explored its potential new indications, like treating post-traumatic headaches. Patients and Methods: This is a retrospective chart review of 717 patients, who had failed at least two prophylactic treatments and received BoNTA injections at University of Missouri Hospital from July 2014 to June 2017. Patient demographics, headache type, associated symptoms, prophylaxes tried were reported. Patient's pain severity (numeric pain scale) and frequency (number of headache days/month) pretreatment, at 6 months, and at 12 months were collected. Results: For a single headache type, post-traumatic headaches showed reduction in headache pain severity at 6 months (2.9 ± 0.7) compared to pre-treatment (7 ± 0.7). Headache frequency for post-traumatic headaches was also reduced at 6 months (10.6 ± 2.3) and 12 months (5.1 ± 1.2) compared to pre-treatment (25 ± 1.8). For pseudotumor cerebri headaches, pain severity at pretreatment was 6.4 ± 0.6 compared to 2 ± 0.8 at 6 months, and headache days reduced at 6 months (9.8 ± 2.5) and 12 months (6 ± 4) compared to pretreatment (26 ± 2.9). Opioid use reduced by 67 ± 55.4 at 6 months and 133.3 ± 106.6 at 12 months in morphine equivalent units. Conclusions: Onabotulinum toxin type A is effective in treating multiple types of chronic non-migraine headaches.
Efficient Architectures for Multigigabit CCSDS LDPC Encoders

Quasi-cyclic low-density parity-check (QC-LDPC) codes have been adopted by the Consultative Committee for Space Data Systems (CCSDS) as the recommended standard for onboard channel coding in Near-Earth and Deep-Space communications. Encoder architectures proposed so far are not efficient for high-throughput hardware implementations targeting the specific CCSDS codes. In this article, we introduce a novel architecture for the multiplication of a dense quasi-cyclic (QC) matrix with a bit vector, which is the fundamental operation of QC-LDPC encoding. The architecture leverages the inherent parallelism of the QC structure by concurrently processing multiple bits, according to an optimized scheduling. Based on this architecture, we propose efficient encoders for CCSDS codes, according to all the applicable low-density parity-check (LDPC) code encoding methods. Moreover, in the special case of the code for Near-Earth communications, we also introduce a preprocessing algorithm to efficiently handle the challenges arising from the generator’s matrix circulant size (511 bits). The proposed architectures have been implemented in various field-programmable gate array (FPGA) technologies and validated in Zynq UltraScale+ multiprocessor system-on-chip (MPSoC), achieving a significant speedup compared with previous approaches, while at the same time keeping resource utilization low.
Selective and Coverage Multi-head Attention for Abstractive Summarization

Although the Transformer model has outperformed traditional sequence-to-sequence model in a variety of natural language processing (NLP) tasks, it still suffers from semantic irrelevance and repetition for abstractive text summarization. The main reason is that the long text to be summarized is usually composed of multi-sentences and has much redundant information. To tackle this problem, we propose a selective and coverage multi-head attention framework based on the original Transformer. It contains a Convolutional Neural Network (CNN) selective gate, which combines n-gram features with whole semantic representation to obtain core information from the long input sentence. Besides, we use a coverage mechanism in the multi-head attention to keep track of the words which have been summarized. The evaluations on Chinese and English text summarization datasets both demonstrate that the proposed selective and coverage multi-head attention model outperforms the baseline models by 4.6 and 0.3 ROUGE-2 points respectively. And the analysis shows that the proposed model generates the summary with higher quality and less repetition.
Review on Security Assessment of Design Classifiers under Assault

Design arrangement frameworks are generally utilized as a part of antagonistic applications, as biometric confirmation, system interruption location, and spam separating, in which information can be deliberately controlled by people to undermine their operation. As this ill-disposed situation is not considered by traditional configuration techniques, design grouping frameworks may show vulnerabilities, whose abuse might seriously influence their execution, and hence confine their handy utility. A few works have tended to the issue of outlining vigorous classifiers against these dangers, albeit essentially concentrating on particular applications and sorts of assaults. In this paper, we address one of the primary open issues: assessing at outline stage the security of example classifiers, specifically, the execution debasement under potential assaults they may bring about amid operation. We propose a system for Experimental assessment of classifier security that formalizes and sums up the principle thoughts proposed in the writing. System Security Consist of the procurements and strategies received by a system chairman to forestall and screen unapproved access. Email is the principle correspondence interface now a day everybody uses/have mail get to all authorities’ organization sent on by a mail correspondence. In this mail correspondence we will have a spam sends. Spam Emails/numerous E-sends comprises URL's to a sites or WebPages prompts infection or hacking. So we as of now have a system for distinguishing the spam sends however it won't recognize the whole spam sends. Spamming is the utilization of Electronic messages to send/get spontaneous mass messages particularly promoting unpredictably. Where as in this strategy we are going to distinguish the whole spam via email examining before it read by the clients, hindering the space independent of the clients E-mail ID, essential word based obstructing by checking the subjects, controlling the distinction in the middle of open and private area before blocking, watchword security by bio-metric, Facial Recognition, Fractal identification (face filtering) and acknowledgment is an one of a kind technique to recognize each person. We utilize savage power string match calculation. It demonstrates the applicant pictures of face filtering acknowledgment framework could be perceived proficiently utilizing bury reliance of pixels emerging from facial codes of pictures.
The Relation between Homocysteine Levels in Patients with Acute Coronary Syndrome and Grace Score

Objectives: This study investigated the correlation between homocysteine levels in patients with Acute Coronary Syndrome and GRACE Score. Methods: This study included 191 cases -140 Non-ST MI cases and 51 MI with ST-elevation cases in Şişli Etfal Training and Research Hospital Coronary Intensive Care Unit between December 2008 and March 2010. Homocysteine was measured by immulite 2000 device, using kemiluminesans method and competitive immunoassay principle and a kit by DPC was used during the measurement. The reference range given by the producing company was between 5-15 Mmol/L for male and female adults. The patients were classified into three risk groups as low, medium and high on the basis of the criteria identified in GRACE risk score: age, heart rate, systolic blood pressure, serum creatine levels, Killip classification, cardiac arrest on admission, increased cardiac enzymes and ST segment depression. The relation between homocysteine levels in patients with Acute Coronary Syndrome and GRACE risk score was evaluated. Results: In the Non-ST MI group, a statistically-moderate positive correlation was seen between homocysteine and GRACE risk score during the study (p<0.05). However, in the MI with ST-elevation group, no correlation was found between homocysteine and GRACE risk score (p>0.05). Overall, despite the low figures, a meaningful positive relation was observed between homocysteine and GRACE risk score in all cases. Conclusion: Homocysteine is independent of other classic risk factors for cardiovascular diseases. Therefore, we believe that routine plasma homocysteine levels should be checked when evaluating risk factors for Atherosclerotic Coronary Artery disease.
Investigation of hERG1b Influence on hERG Channel Pharmacology at Physiological Temperature

Objective: To compare the inhibitory potencies of selected drugs (chloroquine, fluoxetine, cisapride, and ebastine [EBA]) on human Ether-a-go-go-Related Gene (hERG) potassium channel current carried by either hERG1a or co-expressed hERG 1a/1b channel isoforms. Materials and Methods: Measurements of hERG current (IhERG) were made at 37°C from HEK-293 cells expressing either the hERG1a isoform or co-expressing hERG1a and 1b isoforms. A standard “square” waveform voltage protocol was used to elicit IhERG, and tail current measurements were used to construct concentration-response relations for each drug. Results: For fluoxetine, cisapride, and chloroquine, the observed potencies of inhibition of IhERGwere similar between hERG1 and 1a/1b expression conditions. Further experiments in which the hERG1b isoform was expressed alone also failed to show different potencies from hERG1a for these drugs. Fluoxetine was also tested at room temperature and showed similar potencies against hERG 1a and 1a/1b. EBA was more potent against hERG1a than hERG1a/1b with respective half maximal inhibitory concentration (IC50) values of 32 nM ( 95% confidence interval [CI] 24 nM–43 nM) and 185 nM (CI 114 nM–304 nM), a 5.8-fold difference. At ambient temperature, EBA was also more potent against hERG1a than 1a/1b, with a 2.4-fold difference in IC50. Conclusion: Comparison of these findings with prior planar patch-clamp data suggests that automated patch-clamp data on hERG1a/1b versus hERG 1a at ambient temperature cannot automatically be extrapolated to manual patch clamp at 37°C. The results with EBA highlight that, during hERG screening of novel drugs, there is a case for promising candidates to incorporate some measurements on hERG1a/1b as well as hERG1a channels.
Automatic assessment of Java code

In this study a tool was developed which marks automatically computer programs written by novices in Java. Existing open source static analysers were evaluated in the development. Metrics and marking schemes were developed to mark and grade the programming assignments automatically. A sample of 59 first-year programming students’ projects was selected for marking. The projects were marked manually and automatically. The results showed that there is a high correlation between manual and automatic marking for all criteria. The mean Kendall’s tau is over 0.75 indicating a very high level of correlation between manual and automatic marking. However, depending on the marking criteria, non-systemic variations were found.
SOP Diagnostik und Therapieprinzipien postoperativer enterokutaner Fisteln

Schwen Enterokutane Fisteln (ECF) können prinzipiell nach jedem intraabdominellen Eingriff entstehen. Sie können klinisch fast inapparent verlaufen, aber genauso auch lebensbedrohliche septische Verläufe hervorrufen. Auch wenn die Behandlung komplexer ECF wenigen Zentren vorbehalten bleiben sollte, müssen alle Allgemeinund Viszeralchirurgen mit den Grundprinzipien der Diagnostik und Therapie von ECF vertraut sein.
Prediction of Employees’ Lateness Determinants using Machine Learning Algorithms

The lateness of employees greatly affects the organization from manpower, to the financial cost, and even to its production. There are a lot of factors which cause the employees to arrive late at work; hence, it is still a hot topic for research. Data mining techniques have good possibilities to address the issue. Through this study, C4.5 and Naïve Bayes, which are both classification algorithms, were used to test in determining the best technique measured by various criteria, which include accuracy, precision, area under the ROC curve (AUC), Recall, and F-Measure. The results of the study were obtained that Naïve Bayes got higher outcomes with 83.3333% accuracy rate compared to C4.5 with 72.2222% and concluded as potential Data Mining Techniques for employees' tardiness. Finally, in this study, the lateness of employees is often done by employees going late to bed.
Predictive Impact Analysis for Designing a Resilient Cellular Backhaul Network

Backhaul transport network design and optimization for cellular service providers involve a unique challenge stemming from the fact that an end-user's equipment (UE) is within the radio reach of multiple cellular towers: It is hard to evaluate the impact of the failure of the UE's primary serving tower on the UE, because the UE may simply switch to get service from other nearby cellular towers. To overcome this challenge, one needs to quantify the cellular service redundancy among the cellular towers riding on that transport circuit and their nearby cellular towers, which in turn requires a comprehensive understanding of the radio signal profile in the area of the impacted towers, the spatial distribution of UEs therein, and their expected workload (e.g., calls, data throughput). In this work, we develop a novel methodology for assessing the service impact of any hypothetical cellular tower outage scenario, and implement it in an operational system named Tower Outage Impact Predictor (TOIP). Our evaluations, using both synthetic data and historical real tower outages in a large operational cellular network, show conclusively that TOIP gives an accurate assessment of various tower outage scenarios, and can provide critical input data towards designing a reliable cellular backhaul transport network.
Two-Pass 3D Prestack Time Migration

We describe a method to perform two-pass 3-D Kirchho prestack time migration whose com- putation time is nearly the square-root of that required for the one-pass algorithm. To better understand the conditions and restrictions associated with the application of the method we discuss the kinematical approximations involved in its derivation. A real data example shows that this approach can be applied with success in areas with moderate structural complexity.
Aplasia medular por inhibidores de la tirosina cinasa en pacientes con leucemia mieloide crónica

La LMC es una enfermedad mieloproliferativa clonal, caracterizada por una sobreproducción incontrolada de células progenitoras hematopoyéticas primitivas mieloides, monocìticas, eritroides, megacariocíticas, linfoides B y excepcionalmente linfoides T. La translocación t(9q+;22q), da lugar a la formación de un gen quimérico denominado BCR/ABL y a la producción de una nueva proteína de fusión BCR/ABL p210, con actividad tirosina-cinasa intrínseca que provoca la alteración de los mecanismos reguladores de la proliferación, la diferenciación y de la muerte celular programada, lo que convierte a estas líneas celulares en inmortales.
Epidemiology of traumatic maxillofacial injuries in Queensland, Australia

Maxillofacial injury, also called facial trauma, is a major public health problem, representing a group of injuries in which there is an external force that traumatically injures the face. They comprise hard tissue as well as soft tissue injuries that exhibit different patterns of clinical features based on the severity and mechanism of the trauma. Traumatic maxillofacial injuries not only are a leading cause of morbidity and mortality in Queensland, Australia, but also have negative effects on quality of life, functional status, and social functioning. Further, they have a range of economic impacts, including on health care costs, employability, productivity, and insurability. Thus, control, minimization, and prevention of traumatic maxillofacial injuries have immediate health effectiveness, and considerable economic benefits.
Use Cases for an Interface to MPLS TE

Network services based on Virtual Networks (VN) or Virtual Circuits (VC) may be run over MPLS-TE links, and support network configurations such as hub-spoke, service routing, or on-demand networks. An MPLS Traffic Engineering(TE) network is typically configured and the results of its operation analyzed through network management interfaces (CLI, SNMP or NETCONF). These interactions control each of the MPLS TE links, and diagnose operations issues concerning link configuration, MPLS TE protection, and traffic switching-over. The network management functions also monitor MPLS TE links and provide fault detection. The Interface to the Routing System (I2RS) (draft- ietf-i2rs- architecture) programmatic interface to the routing system provides an alternative way to control the configuration and diagnose the operation of MPLS links. I2RS may be used for the configuration, manipulation, polling, or analyzing MPLS TE. This document describes a set of use cases for which I2RS can be used for MPLS TE. It is intended to provide a base for a solution draft describing I2RS information models and protocol functions that will support virtual networks that utilize MPLS TE.
Potential of Different Types of Stem Cells for CardiomyocyteRegeneration

Cardiac disorders are a major cause of death in the world today, causing a greater number of deaths as compared to even communicable diseases like AIDS, tuberculosis, diarrhea and malaria. Cardiac disease may occur due to either atherosclerosis or ischemia, both of which lead to decreased blood supply to the myocardium that would bring about necrosis of cardiac tissue, finally resulting in a decrease in the ejection fraction of the heart. Stem cells with their ability to divide and differentiate into many kinds of cells, help in regenerating the injured tissue in the heart that has lost its ability to relax and contract, thus resulting in an improvement in the overall functioning of the heart. Embryonic stem cells, haematopoietic stem cells, mesenchymal stem cells, induced pluripotent stem cells and resident cardiac stem cells are some of the types of cells capable of cardiac regeneration. This article describes the properties of these stem cells, their advantages, shortcomings and factors that affect their efficacy in cardiac regeneration.
Seeing the light: Improving the usability of fluorescence-guided surgery by adding an optimized secondary light source

Background: Tumors that take up and metabolize 5-aminolevulinic acid (5-AlA) emit bright pink fluorescence when illuminated with blue light, aiding surgeons in identifying the margin of resection. The adoption of this method is hindered by the blue light illumination, which is too dim to safely operate under, and therefore, necessitates switching back and forth from white-light mode. This paper examines the addition of an optimized secondary illuminant adapter (SIA) to improve usability of blue-light mode without degrading tumor contrast. Methods: We used color science methods to evaluate the color of the secondary illuminant and its impact on color rendering index (CRI) as well as the tumor-to-background color contrast (TBCC). A secondary illuminant adapter was built to provide 475-600 nm light the intensity of which can be controlled by the surgeon and was evaluated in two patients. Results: Secondary illuminant color had opposing effects on color rendering index (CRI) and tumor to background color contrast (TBCC); providing surgeon control of intensity allows this trade-off to be balanced in real-time. Experience in two cases suggests additional visibility adds value. Conclusion: The addition of a secondary illuminant may mitigate surgeon complaints that the operative field is too dark under the blue light illumination required for 5-ALA fluorescence guidance by providing improved CRI without completely sacrificing TBCC.