Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessing the hardness of SVP algorithms in the presence of CPUs and GPUs

Lattice-based cryptography has been a hot topic in the past decade, since it is believed that lattice-based cryptosystems are immune against attacks operated by quantum computers. The security of this type of cryptography is based on the hardness of algorithms that solve lattice-based problems, namely the Shortest Vector Problem (SVP). Therefore, it is important to assess the performance of such algorithms on High Performance Computing (HPC) systems. This dissertation compares a wide range of algorithms that solve the SVP, the SVP-solvers, namely, the Voronoi cell-based algorithm and two enumeration-based solvers, SE++ and ENUM. We show that different techniques and optimizations used to significantly improve the performance of ENUM can also be applied to other enumeration algorithms, namely the extreme pruning technique and the optimization that avoids symmetric branches of the enumeration tree. We present the first practical results of the Voronoi cell-based algorithm and compare its performance to the mentioned enumeration algorithms. The Voronoi cell-based algorithm performed considerably worse, although it displays potential for parallelization. The optimization that avoids the computation of symmetric branches improved the performance of SE++ by almost 50%, thus outperforming ENUM by a factor of 3%, on the average. Parallel versions of the enumeration algorithms were implemented on a shared memory system based on a dual (8+8)-core device, which, in some instances, scale super-linearly for up to 8 threads and linearly for 16 threads. The parallel versions of the enumeration with extreme pruning algorithms were parallelized with MPI and achieved speedups of up to 12.96x with 16 processes with ENUM on a lattice in dimension 74. We show that an efficient parallel implementation of ENUM can be integrated into BKZ, a lattice basis reduction algorithm, to parallelize it efficiently, since for high block-sizes almost all of the execution time of BKZ is spent on ENUM. This implementation of BKZ achieves speedups of up to 13.72x for a lattice in dimension 60, reduced with block-size 50. We also compared the quality of the output bases to other BKZ implementations, namely AC_BKZ, an implementation developed in colaboration with Thomas Arnreich, and G_BKZ_FP, an implementation publicly available in the NTL library. Our implementation showed to compute the bases with better quality, in the general case. Finally, a novel parallel approach for the enumeration with extreme pruning is proposed. This approach promises to significantly improve the performance of the enumeration with extreme pruning, since much higher number of cores can be used to achieve higher speedups.
Isobaric tags for relative and absolute quantification‐based proteomic analysis that reveals the roles of progesterone receptor, inflammation, and fibrosis for slow‐transit constipation

Progesterone receptor, inflammation, neurotransmitter expression, and fibrosis are involved in slow‐transit constipation. The aim of the present study was to examine whether patients with slow‐transit constipation have an overexpression of progesterone receptor and serotonin, which may impair the fibrosis of muscularis propria in colorectal wall.
A framework for linking distributed simulations using software agents

The paper presents the basic ideas behind the use of software agent technology for distributed simulation and data assimilation. A software agent is an autonomous computer program that operates on behalf of someone or something. A mobile agent has the ability to migrate during execution from machine to machine in a heterogeneous network, while a stationary agent executes only on the system on which it began execution. To understand the role of agents in distributed simulation, note that simulations often operate on static datasets and data sources. Many simulations would produce more accurate results if they could access dynamically changing data from other sources, such as sensors or even other simulations. From the perspective of one simulation, other simulations are data resources, producing information possibly relevant to the past, present, or future of the system being modeled. Software agents allow dynamic linking between distributed simulations and efficient monitoring of and access to remote data resources. Specifically, they conserve bandwidth, provide custom operations without precompiling or preloading, and adapt to support disconnected operations. The paper describes the development of a software agent based framework for dynamically linking distributed simulations and other remote data resources. The framework called ABELS (Agent-Based Environment for Linking Simulations) allows independently designed simulations to communicate seamlessly with no a priori knowledge of the details of other simulations and data sources. We discuss our architecture and current implementation developed using the D'Agents mobile agent system.
A mini updated review on the role of coffee in non-alcoholic fatty liver disease

Non-Alcoholic Fatty Liver Disease (NAFLD) is termed as the accumulation of extra fat in hepatic cells and it is mainly associated with obesity and insulin resistance [1]. NAFLD is very common in the general population and almost up to 29% of the adults are documented with excessive fat accumulation in the liver [2]. NAFLD encompasses a histological spectrum ranging from simple steatosis to non-alcoholic steatohepatitis (NASH). Currently, the pooled mean prevalence of NAFLD in adults from general population studies is 25% (95%CI: 22% to 29%) with highest in the Middle East and South Africa and lowest in Africa [3].
AN EVALUATION OF BE STRONG: A NURSE-LED CAREGIVER-ASSISTED EXERCISE PROGRAM TO REDUCE FALL-RISK IN OLDER ADULTS

One in three adults over age 65, fall each year sustaining an injury CDC [1]. Falls can be reduced with regular exercise; yet, confidence in balance and fear of falling can psychologically limit older adults from participating in mobility. This nurse-led caregiver-assisted exercise pilot project evaluates fall-risk reduction, confidence in balance and fear of falling. Nine participants engaged in 20 minutes of daily tailored caregiver-assisted exercise over a 20-week period. Data were analyzed using descriptive and inferential statistics. The Berg Balance Scale and Timed Up and Go test showed statistically significant differences in fall-risk scores. The Activities-Specific Balance Confidence Scale, Fall Efficacy Scale and Fall Efficacy International Scale showed no statistically significant difference in confidence and fear of falling, however clients continued the exercise program and data supported frail elderly concerns on fear of falling. Participants, agency staff and consultants evaluative survey showed positive feedback of this exercise experience.
The Cydra 5 computer system architecture

An overview of the Cydra 5 computer system architecture is presented. A single numeric processor and multiple interactive processors are used to provide sustained compute performance in numeric applications. The numeric processors' unique directed dataflow architecture supports the parallelization of a much broader range of algorithms than vector processor architectures. Applications can be ported to the Cydra 5 and achieve very high performance with significantly less reprogramming than on alternative architectures. The numeric processor requires significantly less application reprogramming to make efficient use of its architecture to accelerate typical numeric applications. The numeric processor parallelizes programs with recurrences, conditionals within loops, unstructured memory reference, and other difficult-to-vectorize program constructs. <<ETX>>
Investigation the Efficiency Ceftiofur Hydrochloride in Prevention of Uterine Postpartum Infections and Improvement the Fertility Parameters in Holstein Dairy Cows Affected by Retained Fetal Membrane and Dystocia

Objective: Ceftiofur, a third-generation cephalosporin, is used as a usual antimicrobial drug in veterinary medicine. Positive efficiency of ceftiofur for treatment of retained fetal membrane (RFM) and acute puerperal metritis has been previously reported. Thus, this study was conducted to evaluate the efficiency of ceftiofur hydrochloride (CH) in prevention of uterine postpartum infections and improvement the fertility parameters in Holstein dairy cows. Methods: After parturition, 300 dairy cows affected with dystocia and RFM, from a single dairy herd, were randomly assigned into 2 groups (n=150). Group1 (control) was not treated but other group (CH) was subcutaneously treated with 2.2 mg/kg CH for 5 days. Results: CH could significantly reduce rate of uterine infections compared with control groups (P<0.01). Open days and first service rate were significantly lower in CH group compared with control group (P<0.01). It can be concluded that uterine infections and metritis are inevitable part of dairy cow transitional period. Injection of CH had beneficial effects on reduction the infections and thus it can be advised use of CH to reduce infections and increasing fertility rate in dairy cows affected with RFM and dystocia, before other control program.
Saliency-driven Depth Compression for 3D Image Warping

Current compression methods compress depth images by incorporating 2D features, which leads to a loss of the detail of the original 3D object in the recovered depth image. The main idea of this paper is to augment 2D features with 3D geometric information to preserve important regions of the depth image. Mesh saliency is used to represent the important regions of the 3D objects, and discontinuity edges are extracted to indicate the important regions of the depth image. We use mesh saliency to guide the adaptive random sampling to generate a random pixel sample of the depth image and then, combine this sample with the depth discontinuity edge to build the sparse depth representation. During the depth reconstruction, the depth image is recovered by using an up-and down-sampling schema with Gaussian bilateral ﬁltering. The effectiveness of the proposed method is validated through 3D image warping applications. The visual and quantitative results show a signiﬁcant improvement of the synthetic image quality compared with state-of-the-art depth compression methods. Categories and Subject Descriptors (according to ACM CCS) : I.3. m [Computer Graphics]: Miscellaneous— performance
Perceptron learning with random coordinate descent

A perceptron is a linear threshold classifier that separates examples with a hyperplane. It is perhaps the simplest learning model that is used standalone. In this paper, we propose a family of random coordinate descent algorithms for perceptron learning on binary classification problems. Unlike most perceptron learning algorithms which require smooth cost functions, our algorithms directly minimize the training error, and usually achieve the lowest training error compared with other algorithms. The algorithms are also computational efficient. Such advantages make them favorable for both standalone use and ensemble learning, on problems that are not linearly separable. Experiments show that our algorithms work very well with AdaBoost, and achieve the lowest test errors for half of the datasets.
T786C and G894T eNOS Polymorphisms as a Risk Assessment of Coronary Artery Disease

Objective: Atherosclerosis is a disease develops due to many reasons in the early stages of life, and after decades results in coronary artery disease. Endothelial dysfunction is an independent factor that helps to predict the future cardiovascular events and occurs before the structural changes of atherosclerosis. The most prominent cause of endothelial dysfunction is nitric oxide reduction. With the determination of the decreased nitric oxide effect on atherosclerosis development, various mutations were detected in the eNOS encoding gene. It has been reported these mutations may lead impaired release of nitric oxide and eventually to coronary artery disease. In this study, we aimed to determine the possible role of eNOS polymorphisms T786C and G894T in coronary artery disease.
An Analysis of a TDMA Channel Using Stop-and-Wait, Block, and Select-and-Repeat ARQ Error Control

In this paper, the multiaccess broadcast communication channel operating under a TDMA control discipline and employing an ARQ scheme is examined. The generating function of the message delay distribution is derived. The effects of nonzero bit error rates on multipacket messages under several stop-and-wait and block ARQ systems are incorporated. Numerical results for the steady-state mean and variance of the message delay are presented for a stationary transmission error process model in which errors occur as independent events. Results for this channel under a select-and-repeat ARQ system are developed for single packet messages. Stability requirements are stated, useful bounds on the average message delay at steady state are derived, and numerical examples are presented.
Initializations, back-propagation and generalization of feed-forward classifiers

The backpropagation method is very sensitive to initial weights. A commonly used heuristic is to train a large number of networks using different initial weights for training. The network with the lowest mean squared error is selected from those networks as the optimal network. It is shown that this simple heuristic, meant to improve network training, sometimes favors neural network classifiers with poor generalization capabilities. A measure is proposed to quantify this phenomenon, it is studied as a function of the training time. <<ETX>>
Comparison between Staphylococcus aureus, strains isolated from medical students in pre-clinical formation and clinical training

OBJECTIVE: To establish the differences between Staphylococcus aureus isolates from medical students in pre-clinical and clinical training and identify the level of susceptibility to methicillin, vancomycin and alternative antibiotics. MATERIALS AND METHODS: A cross-sectional observational design with non-random sampling was used in medical students during pre-clinical and clinical training. Samples were taken from nasal swabs and cultured on blood agar. For beta-hemolytic gram-positive cocci, catalase and coagulase tests were performed and then cultured on mannitol salt agar. Susceptibility to cefoxitin, oxacillin, linezolid, clindamycin and trimethoprim sulfamethoxazole was assessed by using the Kirby-Bauer technique, and for vancomycin, an E-test was performed (Biomerieux®). RESULTS: 51 strains of S. aureus from nasal swabs were isolated from 112 medical students. 68.6% were identifi ed as methicillinsensitive (MSSA) and 31.4% as methicillin-resistant (MRSA). Four MRSA strains showed vancomycin intermediate (VISA 4-8 μg/mL) profile, 41% of MSSA isolates was resistant to clindamycin, 31% to linezolid and 23.5% to trimethoprim sulfamethoxazole. DISCUSSION: MSSA, MRSA and VISA strains are present in nostrils of our medical students, with MRSA showing high resistance levels (>50%) to clindamycin, TMP-SMX and linezolid, and MSSA levels up to 40%. These findings reiterate the need to accomplish good nasal and hands hygiene in order to minimize the spread of S. aureus in community and healthcare facilities.
Consciousness in Evolution Sketch for a New Model - A Speculation

It is hypothesized that hierarchically negentropic systems (defined herein), including organisms, are associated with partially non-local information/probability fields which, a) entail or express interiority, b) engender “entangled learning” with similar negentropic systems, and c) cause otherwise random processes, including mutation in biotic systems, to become somewhat non-random.
Urosepsis bei Kindern und Jugendlichen – konservative und operative Therapie

Zusammenfassung Fieberhafte Harnwegsinfekte (HWI) sind die häufigsten Infektionen im Kindesalter, die Urosepsis, wenngleich selten, stellt die schwerste Komplikation der kindlichen Infektion des Urogenitaltraktes dar. Die korrekte Diagnose, insbesondere die Mitbeteiligung der Nieren im Säuglings- und Kleinkindesalter kann aufgrund der unspezifischen Symptome schwierig sein, neben Harn und Labor sowie nicht invasiver Diagnostik (Ultraschall) kann eine weitere spezifische Diagnostik (DMSA Szintigrafie) notwendig sein. Die Akuttherapie besteht aus der gezielten parenteralen Antibiose wie der qualifizierten pädiatrischen Sepsistherapie, selten ist eine chirurgisch-interventionelle Desobstruktion nötig. Hier kommen neben der Katheterdrainage des unteren und oberen Harntraktes offene Operationstechniken – situations- und kindgerecht – zum Einsatz. Im weiteren Verlauf ist es entscheidend, kausale Faktoren wie angeborene Fehlbildungen mit negativem Einfluss auf den Harntransport (vesikoureteraler Reflux, Fehlbildungen mit postrenaler Obstruktion) zu identifizieren und zu behandeln.
Leisure travelling and its link to an active and healthy ageing

In demographic terms, markets are shifting towards an ageing population, particularly in developed countries, where the main tourist markets are located. This trend has resulted in a large segment that is quite attractive to providers of tourist services known as the “senior” or “grey” segment [6]. Most researchers are in agreement that older adults will prefer to take leisure trips. Indeed Capella and Greco [7] found that 50% of those aged 65 years and over took a vacation at least once a year, and Blazey [8] pointed out that the number one thing that people wanted to do when they retired was to travel [9]. The emergence of new tourist profiles is an ongoing process, resulting from the dynamics of changes in society [10].
Power System Investment Planning using Stochastic Dual Dynamic Programming

Generation and transmission investment planning in deregulated markets faces new challenges particularly as deregulation has introduced more uncertainty to the planning problem. Traditional planning techniques and processes cannot be applied to the deregulated planning problem as generation investments are profit driven and competitive. Transmission investments must facilitate generation access rather than servicing generation choices. The new investment planning environment requires the development of new planning techniques and processes that can remain flexible as uncertainty within the system is revealed. The optimisation technique of Stochastic Dual Dynamic Programming (SDDP) has been successfully used to optimise continuous stochastic dynamic planning problems such as hydrothermal scheduling. SDDP is extended in this thesis to optimise the stochastic, dynamic, mixed integer power system investment planning problem. The extensions to SDDP allow for optimisation of large integer variables that represent generation and transmission investment options while still utilising the computational benefits of SDDP. The thesis also details the development of a mathematical representation of a general power system investment planning problem and applies it to a case study involving investment in New Zealand’s HVDC link. The HVDC link optimisation problem is successfully solved using the extended SDDP algorithm and the output data of the optimisation can be used to better understand risk associated with capital investment in power systems. The extended SDDP algorithm offers a new planning and optimisation technique for deregulated power systems that provides a flexible optimal solution and informs the planner about investment risk associated with uncertainty in the power system.
Keratin, Kollagen oder doch Spendergewebe – wo liegt die Zukunft in der Entwicklung neuer Biomaterialien zur Hornhautrekonstruktion?

Zusammenfassung Für den Ersatz von Hornhautgewebe werden seit Langem standardmäßig Hornhauttransplantate bzw. Amnionmembran verwendet. Da es sich hierbei um biologisches Gewebe handelt, besteht nur eine eingeschränkte Standardisierung, was die Herstellung, Beschaffenheit und die Eigenschaften nach Transplantation betrifft. Darüber hinaus gibt es ein Risiko der Krankheitsübertragung vom Spender und die Verfügbarkeit sowohl von menschlichen Hornhäuten als auch von Amnionmembran ist in vielen Regionen der Erde ungenügend. Aus diesem Grund werden seit vielen Jahren alternative Biomaterialien für den Hornhautersatz beforscht. Unter den natürlichen Biomaterialien bieten Materialien auf Kollagen- oder Keratinbasis Eigenschaften, die sie zu aussichtsreichen Kandidaten für den Hornhautstromaersatz machen. Aktuell bestehen aber noch viele ungelöste Probleme, insbesondere was die Degradation nach Implantation und die Nahtfestigkeit der Materialien angeht. Erste klinische Untersuchungen mit unterschiedlichen Biomaterialien auf Kollagenbasis belegen jedoch ihre insgesamt recht gute Biokompatibilität hinsichtlich ihrer Integrationsfähigkeit bzw. hinsichtlich ihrer geringen Immunogenität. Aktuell gibt es kein Biomaterial, das den Anforderungen in jeder Situation gerecht wird. Es ist zu vermuten, dass zukünftig unterschiedliche Biomaterialen zur Verfügung stehen, die in Abhängigkeit von der zugrunde liegenden Hornhauterkrankung unterschiedliche Funktionen erfüllen und so eine patienten- und krankheitsindividuelle Versorgung möglich machen.
Review on Swine Flu and Status of Swine Flu in Ethiopia

Swine flu is a highly contagious respiratory viral disease which is caused by influenza a virus. The disease can be found everywhere in the world especially in those peoples rearing pigs. The virus can circulate between human, avian, and swine. It spread through aerosol transmission, via contact with affected pigs and contaminated objects with the virus. Different factors including immuno suppression predispose individuals to the disease. Swine influenza manifested by coughing, anorexia and lethargy in pigs while sudden fever and cough in human. The disease can be diagnosed either by laboratory or by observing signs and symptoms. It has a devastating effect on the economy and health of the communities even though it can be prevented and controlled with different measures like vaccines and antiviral drugs. Recently, active case reported in Addis Ababa, Ethiopia. So, due to its highly spread and economic importance it should have to be reported immediately to authorities if the cases have been seen and care should be taken if person showing the sign of the disease is observed.
42.3: Efficient Multi‐View Input Data Format for Glasses‐Free 3D Display

This paper presents a novel multi‐view input data format that is efficient and applicable to any 3D rendering engine. A multi‐view system is also developed to overcome the challenge in 3D image quality caused by the lens misalignment. Finally, the verification is performed on our nine‐view glasses‐free 3D display.
Acute Coronary Syndrome in a Young Lady: A Rare Presentation of Takayasu Disease

Les syndromes coronariens aigus atteignent habituellement des patients avec des facteurs de risque cardiovasculaires, mais ils peuvent survenir chez des patients sans athérosclérose avec une maladie systémique. L’atteinte coronarienne survient dans 10% à 30% des cas dans une maladie de Takayasu. Cette observation décrit le cas d’une jeune femme ayant présenté un infarctus du myocarde ayant révélé le Takayasu.
Tamoxifen, Chemotherapy or Both Treatments Inhibits the Serum Concentration of Inhibin B and Antimullerian Hormone in Premenopausal Patients

i. Both Inhbin-B and AMH had undetectable levels in the 7 patients treated with tamoxifen and in 7/8 patients treated with tamoxifen + chemotherapy. In the latter case one of the patients presented high levels of both. ii. In the case of treatment with chemotherapy, three of the patients had very low levels of Inhibin-B and undetectable AMH whereas one of them presented a high level of Inhibin-B and AMH intermediate.