Miracle-dz/UniFAR-FTUs huggingface dataset:
Mecanismos moleculares en la patogenia de los edemas del Síndrome Nefrótico. Una revisión

espanolEn el presente trabajo, se revisan los mecanismos moleculares, particularmente tubulares del edema del sindrome nefrotico. Asi mismo, se hacen algunas consideraciones sobre aspectos terapeuticos modernos para el tratamiento del edema nefrotico, en base a nuevos conocimientos patogeneticos de dicho edema. EnglishIn the present work, the molecular tubular mechanisms, particularly tubular of edema of nephrotic syndrome are reviewed. Similarly, some considerations concerning modern therapeutic aspects for the treatment of nephrotic edema based on new pathogenetic knowledge of the edema are made.
Comparison between the efficacy of double blockade and single blockade of RAAS in diabetic kidney disease

Background: Diabetic kidney disease is associated with high morbidity and cardiovascular mortality. A number of guidelines and recommendations have been issued over the years recommending the use of renin angiotensin aldosterone system blockade in the management of diabetic kidney disease.Methods: A prospective observational study was done on 750 diabetic chronic kidney disease patients during July 2012 to August 2014 to compare the efficacy of double blockade and single blocked of renin angiotensin aldosterone system in diabetic kidney disease.Results: At the end of 24 months urinary protein excretion rate of group I and group III were compared by using student t-test and p value (0.0268) was found significant. Similarly, on comparing group II and group III, p value (0.0278) was again significant. Mean arterial blood pressure of group I and group III were statistically significant (0.0496) while comparing group II and group III, p value (0.0419) was again significant.Conclusions: The study concludes that the use of double renin angiotensin aldosterone system blockade therapy is more effective than mono-therapy at reducing albuminuria and proteinuiria, and in decreasing blood pressure at the same time not causing significant deterioration in glomerular filtration rate in diabetic kidney disease patients. Novel potassium-lowering therapies are shown to effective compensate the hyperkalemia risk associated with renin angiotensin aldosterone system blockade use in people with diabetic kidney disease, offering promise for more adequate therapy and greater renal and cardiovascular risk protection in the future.
AxCEM: Designing Approximate Comparator-Enabled Multipliers

Floating-point multipliers have been the key component of nearly all forms of modern computing systems. Most data-intensive applications, such as deep neural networks (DNNs), expend the majority of their resources and energy budget for floating-point multiplication. The error-resilient nature of these applications often suggests employing approximate computing to improve the energy-efficiency, performance, and area of floating-point multipliers. Prior work has shown that employing hardware-oriented approximation for computing the mantissa product may result in significant system energy reduction at the cost of an acceptable computational error. This article examines the design of an approximate comparator used for preforming mantissa products in the floating-point multipliers. First, we illustrate the use of exact comparators for enhancing power, area, and delay of floating-point multipliers. Then, we explore the design space of approximate comparators for designing efficient approximate comparator-enabled multipliers (AxCEM). Our simulation results indicate that the proposed architecture can achieve a 66% reduction in power dissipation, another 66% reduction in die-area, and a 71% decrease in delay. As compared with the state-of-the-art approximate floating-point multipliers, the accuracy loss in DNN applications due to the proposed AxCEM is less than 0.06%.
A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence

A Framework for Analyzing Stochastic Algorithms Under Dependence Chaoxu Zhou In this dissertation, a theoretical framework based on concentration inequalities for empirical processes is developed to better design iterative optimization algorithms and analyze their convergence properties in the presence of complex dependence between directions and step-sizes. Based on this framework, we proposed a stochastic away-step Frank-Wolfe algorithm and a stochastic pairwise-step Frank-Wolfe algorithm for solving strongly convex problems with polytope constraints and proved that both of those algorithms converge linearly to the optimal solution in expectation and almost surely. Numerical results showed that the proposed algorithms are faster and more stable than most of their competitors. This framework can be applied for designing and analyzing stochastic algorithms with adaptive step-sizes that are based on local curvature for self-concordant optimization problems. Notably, we proposed and analyzed a stochastic BFGS algorithm without line-search, and proved that it converges linearly globally and super-linearly locally using the framework mentioned above. This is the first work that analyzes a fully stochastic BFGS algorithm, which also avoids time consuming or even impossible line-search steps. A third class of problems that the empirical processes framework can be applied to is to study the optimization of compositions of stochastic functions. A multi-level Monte Carlo based unbiased gradient generation method is introduced into stochastic optimization algorithms for minimizing function compositions. Based on this, standard stochastic optimization algorithms can be applied to these problems directly.
Does pulmonary endarterectomy have arrhythmia prevention effect?

Background: The aim of the present study was therefore to evaluate the evolution of electrocardiography (ECG) markers indicator of morbidity and mortality after pulmonary endarterectomy (PEA). It may be a good predictor of mortality and morbidity in chronic thromboembolic pulmonary hypertension (CTEPH) with patients who underwent PEA. PEA may be reduced risk of arrhythmia in patients with CTEPH. However, this claim must to be supported with long-term results. Materials and Methods: We collected demographic, ECG, and echocardiographic parameters data (baseline and after the operation) in patients undergoing PEA for CTEPH at our institution from 2009 to 2013.We assessed 62 CTEPH patients who underwent PEA. Results: P wave amplitude in DII, PR interval, P and QT dispersion changed significantly at 3 months after surgery. The P dispersion (17.66 ± 6.2, P < 0.04) and QT dispersion (23.75 ± 11.37, P < 0.015) were longer in before operation than in after operation. Conclusions: In our study, we found in ECG analyses of CTEPH with patients who are undergoing PEA that P dispersion, QT dispersion were changed when compared with before operation. For this reason, we think that PEA reduces the risk of atrial fibrillation and malignant arrhythmia.
A Systematic Literature Review of Behavioural Profiling for Smartphone Security: Challenges and Open Problems

Smartphones contain different types of data and applications, such as images, text messages, emails, and mobile banking applications, and may also hold personal and health information. Current authentication approaches do not re-authenticate in order to re-validate the user’s identity after the user has initially accessed the mobile phone. Consequently, there is a security benefit if authentication could be applied continuously and transparently (i.e., without obstructing the user’s activities) to authenticate legitimate users and be maintained beyond the point of entry. Behavioural profiling is an example of behavioural biometric authentication. The main aim of this research study is to conduct a systematic review of the current research literature regarding behavioural profiling for smartphone security. The paper demonstrates that there is a lack of investigation into behavioural profiling for mobile devices. The study also examines possible challenges in behavioural profiling authentication and points to some of the open problems which need to be tackled.
CLOUD FORENSIC FRAMEWORKS, CHALLENGES, STATE OF ART AND FUTURE DIRECTIONS

: Cloud Forensics is a blend of a couple of disciplines like Cloud computing and Digital Forensics. Cloud Forensics is defined as the “science of conserving all potential evidences, safeguarding the privacy and integrity of the information, identification, collection, organization, presentation, and verification of evidence data to determine the facts about an incident in the concerned cloud environment”. The aims of Cloud Forensics techniques is to excerpt information for solutions of the 8Ws (Who, Why, Where, What, Which, Whom, Whose and When) from the data mined from the evidences obtained from the Cloud Forensics Logs. This paper emphases on the challenges observed in the frameworks, the state of art and future directions in the domain of cloud forensics. It analytically reviews the forensics architectures in the cloud environment prevailing challenges and resolutions, and it ascertains, entirely the effort that has been accepted in cloud forensic domain which would be of great help in examination of the security breaches in Cloud based Architectures. Additionally, the detailed assessment reveals benefits and shortcomings of the prevailing approaches providing some innovative imminent exploration guidelines and also supporting a brief discussion on Indian Cyber Laws. To sum up, this detailed review paper can be an initial point for the scholars desiring to build forensics related services that can operate on Cloud IndexTerms - Cloud Forensics, NIST, Cloud Computing, Digital Investigation, Digital Forensics. _
Preparing Effective Literacy Educators Through Professional Development

Since changes to the reading/language arts State Subject Area Test (SSAT) in late 2010, elementary education teacher candidates at a teacher training college in the Southern United States have experienced declining scores resulting in test failure and delaying student teaching and graduation. The purpose of this case study was to identify factors that students and faculty perceived as most beneficial in preparing students to pass the SSAT. Constructivism served as the conceptual framework for this study addressing the effects of collaboration, hands-on learning, and application of knowledge. Purposeful sampling was used to recruit 6 elementary education students who had taken the SSAT and 4 full-time reading and language arts faculty members who participated in semistructured interviews. Analysis of coded data indicated themes of preference for experiential learning, intensive strategy instruction, and a review of tested content. Based on study findings, a 3-day professional development training was created to provide students a review of tested subject matter through embedded strategy instruction and opportunities for hands-on application of learning.
Sohbrit: Autonomous COTS System for Satellite Characterization

As technology continues to improve, driving down the cost of commercial astronomical products while increasing their capabilities, manpower to run observations has become the limiting factor in acquiring continuous and repeatable space situational awareness data. Sandia National Laboratories set out to automate a testbed comprised entirely of commercial off-the-shelf (COTS) hardware for space object characterization (SOC) focusing on satellites in geosynchronous orbit. Using an entirely autonomous system allows collection parameters such as target illumination and nightly overlap to be accounted for habitually; this enables repeatable development of target light curves to establish patterns of life in a variety of spectral bands. The system, known as Sohbrit, is responsible for autonomously creating an optimized schedule, checking the weather, opening the observatory dome, aligning and focusing the telescope, executing the schedule by slewing to each target and imaging it in a number of spectral bands (e.g., B, V, R, I, wide-open) via a filter wheel, closing the dome at the end of observations, processing the data, and storing/disseminating the data for exploitation via the web. Sohbrit must handle various situations such as weather outages and focus changes due to temperature shifts and optical seeing variations without human interaction. Sohbrit can collect large volumes of data nightly due to its high level of automation. To store and disseminate these large quantities of data, we utilize a cloud-based big data architecture called Firebird, which exposes the data out to the community for use by developers and analysts. Sohbrit is the first COTS system we are aware of to automate the full process of multispectral geosynchronous characterization from scheduling all the way to processed, disseminated data. In this paper we will discuss design decisions, issues encountered and overcome during implementation, and show results produced by Sohbrit.
An Adversarial Approach to Spliced Forgery Detection and Localization in Satellite Imagery

The widespread availability of image editing tools and improvements in image processing techniques make image manipulation feasible for the general population. Oftentimes, easy-to-use yet sophisticated image editing tools produce results that contain modifications imperceptible to the human observer. Distribution of forged images can have drastic ramifications, especially when coupled with the speed and vastness of the Internet. Therefore, verifying image integrity poses an immense and important challenge to the digital forensic community. Satellite images specifically can be modified in a number of ways, such as inserting objects into an image to hide existing scenes and structures. In this thesis, we describe the use of a Conditional Generative Adversarial Network (cGAN) to identify the presence of such spliced forgeries within satellite images. Additionally, we identify their locations and shapes. Trained on pristine and falsified images, our method achieves high success on these detection and localization objectives.
IMPLEMENTASI CLOUD COMPUTING SEBAGAI INFRASTRUKTUR LAYANAN MAIL SERVER PADA UNIVERSITAS KHAIRUN

Cloud computing menjadi salah satu topik yang sering dibicarakan karena banyak yang mulai tertarik untuk menggunakannya serta layanan yang ditawarkan juga semakin beragam. Dengan cloud computing memberikan kemudahan mulai dari user, perusahaan baik kecil maupun besar serta developer yang bergerak dibidang IT. Salah satu layanan cloud computing seperti infrastructure as a service yang didalamnya terdapat layanan penyediaan infrasturkutur hardware seperti CPU virtual yang berisi RAM atau memory, processor, dan disk storage, serta switch virtual. Dengan layanan infrasturktur tersebut maka dapat dikembangkan menjadi sebuah sistem cloud computing untuk penyediaan mail server karena dapat menghasilkan beberapa mesin server virtual sesuai dengan kebutuhan serta menghemat biaya penyediaan device.
Redes inalámbricas de uso comunitario : un análisis comparativo de protocolos

Las redes malladas inalámbricas (Wireless Mesh Networks) son en particular un dominio rápidamente creciente y esto trae muchos desafíos. La principal función de los protocolos de encaminamiento es seleccionar el camino entre el nodo fuente y destino de una manera rápida y fiable. Estas redes pueden utilizar los protocolos de encaminamiento de otras redes ya existentes, pero modificándolos para que funcionen correctamente con ellas. En este trabajo se analizan distintos protocolos de encaminamiento y se presentan sus descripciones para luego compararlos de acuerdo al Tipo de Protocolo, Alcance de trasmisiones y Métrica de ruteo.
Medial Longitudinal Fasciculus Acute Ischemic Changes may be Missed During Imaging

The medial longitudinal fasciculus (MLF) is a pair of crossed fibers of axons, on each side of the brainstem that carries information about the direction of eye movement. An ischemic stroke is the most common cause of MLF syndrome. We report a patient with unilateral partial oculomotor paresis associated with internuclear ophthalmoplegia, which is a dysfunction of the MLF in the pontine. A second diffusion-weighted magnetic resonance imaging (DW-MRI) showed a high-signal-intensity lesion in the brainstem. We would like to emphasize that detailed neurological physical examination and imaging control are essential aspects of clinical assessment for the diagnosis of MLF infarction because its detection based on imaging is challenging.
APRIORI ALGORITHM APPROACH FOR AUTOMATIC TEXT PROCESSING AND GENERIC-BASED SUMMARIZATION SYSTEM

Text Processing has always existed in various forms. It makes voluminous text easily digestible, offers brief and quick overview of the subject contents and may provide critical context analysis to the reader. With the growth of digital articles in forms of news, blogs, wikis etc., there is serious need for a text processor which can adequately summarized an article or documents for the reader. This redirected and takes away the effort needed to read, assimilate and create summaries manually. This research paper proposed a system which provides unique opportunity for developing a core set text summarization system using Apriori Algorithm techniques to perform Binary Associated Rule on Data Mining. The system makes available a means of storing the automatic Generic-based summaries for future references and requirements.
A many-objective optimization WSN energy balance model

Wireless sensor network (WSN) is a distributed network composed of many sensory nodes. It is precisely due to the clustering unevenness and cluster head election randomness that the energy consumption of WSN is excessive. Therefore, a many-objective optimization WSN energy balance model is proposed for the first time in the clustering stage of LEACH protocol. The four objective is considered that the cluster distance, the sink node distance, the overall energy consumption of the network and the network energy consumption balance to select the cluster head, which to better balance the energy consumption of the WSN network and extend the network lifetime. A many-objective optimization algorithm to optimize the model (LEACH-ABF) is designed, which combines adaptive balanced function strategy with penalty-based boundary selection intersection strategy to optimize the clustering method of LEACH. The experimental results show that LEACH-ABF can balance network energy consumption effectively and extend the network lifetime when compared with other algorithms.
An Eficient Image Registration Method based on Modified NonLocal - Means : Application to Color Business Document Images

: Most of business documents, in particular invoices, are composed of an existing color template and an added filled-in text by the users. The direct layout analysis without separating the preprinted form from the added text is difficult and not efficient. Previous works use both local features and global layout knowledge to separate the pre-printed forms and the added text. Although for real applications, they are even exposed to a great improvement. This paper presents the first pixel-based image registration of color business documents based on the NonLocal-Means (NLM) method. We prove that the NLM, commonly used for image denoising, can be also adapted to images registration at the pixel level. Our intuition tends to look for a similar neighbourhood from the first image I1 into the second image I2 and provide both an exact image registration with a precision at pixel level and noise removal. We show the feasibility of this approach on several color images of various invoices and forms in real situation and its application to the layout analysis. Applied on color documents, the proposed algorithm shows the benefits of the NLM in this context.
AGENT DRIVEN E-TUTORING SYSTEM

: E-Tutoring system is a process of teaching and learning for students of differing abilities in the same class in a more personalised manner. The intent of E-Tutoring is to maximize each student's growth and individual success by meeting each student where he or she is, and assisting in the learning process. Many specialists in the domain of teaching have recently identified E-Tutoring as a method of helping more students in diverse classroom settings experience success. The entire curriculum is designed to increase flexibility in teaching and decrease the barriers that frequently limit student access to materials and learning in classrooms based on student's intellectual knowledge. The system gives students multiple options for taking in information and making sense of ideas thus in turn helping to develop student's mind map in order to help the tutors to be much more flexible in their approach to teaching and adjust the curriculum and presentation of information to learners rather than expecting students to modify themselves for the curriculum. The work flow of the system includes the student taking up a particular course and understanding the concepts with the help of the course materials provided by the system which he or she can view multiple times and then finally taking up a test. Based on the responses given by the learner his or her performance and accuracy will be evaluated.
Synthesis of model substances of 4-O-methyl-glucose and 4-O-methyl-glucuronic acid in prebiotic polysaccharides

Das Uronsaurederivat 4-O-Methylglukuronsaure (4-O-MeGlcUA) ist in zahlreichen pflanzlichen Polysacchariden enthalten. Es sind daher Synthesen von 4-O-Methylglukuronsaure als Standardsubstanz fur entsprechende analytische Zwecke beschrieben worden. Im Zuge von Studien mit Polysacchariden aus Hyptis suaveolens benotigten wir Standards fur 4-O-Methylglukose und 4-O-MeGlcUA. Da keine der veroffentlichten Synthesen einen einfachen Zugang zu diesen Substanzen bot, beschreiben wir in der vorliegenden Diplomarbeit ein neues Syntheseverfahren unter Verwendung von Substraten mit estergebundenen Schutzgruppen in den Positionen 2 und 3. Vorlaufige Ergebnisse zeigen, dass die Methylierung des sekundaren Alkohols Methyl-2,3-di-O-pivaloyl-6-O-triphenylmethyl-α-D-glukopyranosid unter Standardbedingungen brauchbare Ausbeuten des 4-O-Methylderivats ergibt. Durch Entfernung der Schutzgruppen nach gebrauchlichen Verfahren erhielt man den freien Zucker 4-O-Methyl-D-glukose. Im Zuge der Entfernung der Schutzgruppen wurden auch Derivate mit freier OH-Gruppe in Position 6 erhalten, welche sich zur Oxidation zu den entsprechenden Derivaten von 4-O-MethylGlcUA eignen. In einem Anwendungsbeispiel wurde synthetisches 4-O-MeGlc als Standardsubstanz verwendet um zu zeigen, dass 4-O-MeGlc in dem Monosaccharidgemisch enthalten ist, welches durch hydrolytische Spaltung des carboxyl-reduzierten sauren Polysaccharids aus Hyptis suaveolens entsteht.