Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast Maritime Anomaly Detection using KD Tree Gaussian Processes

This work considers the challenge of scalability in the detection of anomalies in worldwide shipping traffic. A model of normal vessel behaviours is useful for detecting abnormal, illegal, suspicious, or unsafe behaviour; such as vessel theft, drugs smuggling, people trafficking or poor sailing. This work presents a state-of-the-art non-parametric regression model, based on Gaussian Processes, and is demonstrated to model normal shipping behaviour. This model is constructed from Automatic Identification System data and allows a measure of normality to be calculated for each newly-observed transmission according to its speed given its current latitude and longitude. Using this measure of normality, ships can be identified as potentially “anomalous” and prioritised for further investigation.
Design Decision Making: Adapting Mathematical Paradigms to fit Designers' Actual Needs

When designing products, designers follow a process in which they compare complex alternatives and select one for further development. Because of the complexity and uncertainty involved in comparing and ranking design alternatives, and the high cost of making bad decisions, mathematical decision methods have long held much theoretical appeal for use in design decision making. However, designers do not use them in most practical design work. Why does this discrepancy between theory and practice exist? This paper is a follow-on to a study presented by the authors last year assessing the costs and benefits of various mathematically-based decision support tools. This work aims to provide insights into the results of that study by presenting ethnographic observations of designer's decision making processes, a description of how the assumptions of mathematical decision methods are not well matched to designer's needs. However, by understanding these needs better we are several steps closer to being able to create decision support tools that product designers will want to adopt.
Implementasi Algoritma One Time Pad Pada Penyimpanan Data Berbasis Web

Salah satu hal yang perlu diperhatikan dalam menjaga keamanan sebuah sistem adalah proses autentikasi. Proses ini dilakukan untuk memastikan bahwa user yang mengakses data maupun informasi pada sistem tersebut adalah user yang memiliki wewenang. Ada beberapa metode untuk melakukan autentikasi, salah satunya dengan menggunakan teknik penyandian data (kriptografi). Kriptografi diterapkan pada data maupun informasi dengan mengkodekan atau menyembunyikan data aslinya sehingga hanya pihak yang memiliki kunci yang dapat mengakses data atau informasi tersebut. Penelitian ini akan mengimplementasikan algoritma One Time Pad (OTP) untuk melakukan penyandian terhadap data dan informasi yang disimpan. Data atau informasi yang disimpan dalam aplikasi akan berbentuk ciphertext sehingga user akan mendapatkan kunci untuk mengakses data atau informasi tersebut. Pembuatan aplikasi ini diharapkan dapat menjaga kerahasiaan dan keamanan data dengan baik, dimana pihak yang dapat mengakses data atau informasi yang asli hanya pihak yang memiliki
Arquitetura de hardware para transformada rápida de Fourier aplicada ao tratamento de sinais do sistema nervoso

The work is a study of nerve signals from the spinal cord. To determine the characteristics of these signals is important in order to understand their mechanisms of action and how to process them. The digital processing of signals was considered in order to obtain their frequency domain spectrum, given the advantages of using this domain with respect to the time domain. The conversion to the frequency spectra must be performed using fast algorithms. The description of a Fast Fourier Transform algorithm in VHDL (Very High Speed Integrated Circuit Hardware Description Language) was the first part of this practical design work. The validation of this hardware and its logic synthesis and mapping to CMOS logic gates were the following steps. In this design static MOS logic gates developed by the author at the layout level with 65nm CMOS design rules were used. They were characterized in our research group to operate at ultra-low supply voltages. The main design characteristics of this work is that the Fast Fourier Transform CMOS hardware was synthesyzed to operate at a very low power consumption level, through the near-threshold logic operation for ultra low Vdd down to 450mV. The target operating frequency for the design in low, around 1 MHz, to save switching energy. The logic synthesis results presented in this work are discussed in terms of the compromise between supply voltage, area and power consumed by the FFT CMOS circuit. The temperature behavior at low Vdd is also analyzed for the circuit. The operation down to 0.45V supplies was demonstrated and analyzed at the end of the monography.
Mechanical complications of acute myocardial infarction considering risk factors, treatment and survival of patients in 10-year clinical observation

Choroby układu krążenia, w tym choroba wieńcowa i jej powikłania, stanowią najczęstszą przyczynę zgonów. Zawał mięśnia sercowego spowodowany jest zwykle pęknięciem blaszki miażdżycowej i zamknięciem tętnicy wieńcowej skrzepliną. Badaniem objęto 52 chorych (100%) z mechanicznymi powikłaniami ostrego zawału serca, hospitalizowanych w II Oddziale Kardiologii oraz Oddziale Anestezjologii i Intensywnej Terapii Górnośląskiego Centrum Medycznego w Katowicach w latach 2006–2016, w tym 23 kobiety (44,2%) i 29 mężczyzn (55,8%) w wieku 54‒84 lat (średnia wieku 69,8 roku). Najczęstszym powikłaniem było pęknięcie przegrody międzykomorowej (n = 36; 69,2%), natomiast do najrzadszych należały pęknięcie mięśnia brodawkowatego (n = 4; 7,7%) i pęknięcie ścięgien (n = 4; 7,7%). Nadciśnienie i hipercholesterolemia były najczęstszymi czynnikami ryzyka wystąpienia choroby niedokrwiennej serca w badanej grupie. Zwiększoną śmiertelność zaobserwowano u pacjentów leczonych farmakologicznie (87,5%), podczas gdy śmiertelność pacjentów leczonych operacyjnie wynosiła 61,4%. U większości pacjentów występował jeden czynnik ryzyka choroby wieńcowej (n = 28; 53,8%). 1. Najczęstszymi powikłaniami były pęknięcie przegrody międzykomorowej i pęknięcie ściany serca. 2. U pacjentów występowało wiele czynników ryzyka dla choroby niedokrwiennej serca, spośród których najczęstszymi były nadciśnienie i hipercholesterolemia. 3. Śmiertelność w badanej grupie chorych z mechanicznymi powikłaniami ostrego zawału serca znacznie przewyższała przeżywalność i była większa w grupie leczonych zachowawczo.
Study on Association between Chronic Idiopathic Urticaria and Helicobacter Pylori Infection in Armed Forces Personnel

Study on Association between Chronic Idiopathic Urticaria and Helicobacter Pylori Infection in Armed Forces Personnel 1. Col Md Sayeed Hasan, MBBS, DDV, FCPS, Professor and Head, Department of Demratology & Venerology, AFMC, Dhaka 2. Col Md Shirajul Islam Khan, MBBS, DDV, MCPS, FCPS, Classified Specialist in Dermatology & Venerology, CMH, Dhaka 3. Maj Jannatun Nayeem, MBBS, DDV, Dermatologist, CMH, Dhaka.
Safety and efficacy of Biomin® DC‐P as a zootechnical feed additive for chickens for fattening, chickens reared for laying and minor avian species to the point of lay

Abstract The additive (trade name Biomin®DC‐P) is a blend of five individual compounds (carvacrol, thymol, d‐carvone, methyl salicylate and l‐menthol) encapsulated with a hydrogenated vegetable oil. The additive is intended for use in feed for various poultry species at a minimum concentration of 65 mg/kg complete feed and a recommended maximum level of 105 mg/kg complete feed. The results of a tolerance study show that Biomin® DC‐P is safe for chickens for fattening at the maximum recommended application rate of 105 mg/kg complete feed; this conclusion is extended to include chickens reared for laying and extrapolated to minor poultry species The active components of a previously evaluated additive (Biomin®DC‐C) were shown to be not genotoxic; owing to the similarity on composition, this conclusion can be also applied to Biomin®DC‐P. Notwithstanding the uncertainties identified in the residue study, after applying a worst‐case scenario to calculate potential exposure of consumers to menthol and carvone, and since that the components of the additive are considered safe for their use as food and feed flavourings, the FEEDAP Panel concludes that the use of the additive in animal nutrition is considered safe for consumers. The FEEDAP Panel considered that exposure of users by inhalation is unlikely, but cannot conclude on the effects of Biomin®DC‐P on skin and eyes. The use of Biomin®DC‐P is not expected to pose a risk for the environment. Biomin®DC‐P has a potential to increase the growth performance of chickens for fattening when incorporated into feed at a minimum application rate of 65 mg/kg complete feed; the conclusion can be extended to chickens reared for laying and extrapolated to minor poultry species reared up to the point of lay.
COLETA SELETIVA E E-GOVS: UMA REFLEXÃO SOBRE A ARQUITETURA DE INFORMAÇÃO DA ÁREA DE COLETA SELETIVA DO WEBSITE DA COMLURB

Palavras-chave: Arquitetura de Informação, Design Centrado no Usuário, Coleta Seletiva Para que as informações sobre o serviço de coleta seletiva prestado pela Comlurb sejam encontradas mais facilmente em seu site, sugeriu-se uma arquitetura de informação utilizando a abordagem do design centrado no usuário. Os grupos criados basearam-se no modelo mental dos cidadãos, formando um esquema ambíguo de organização de conteúdo.
COMPUTATIONAL DRUG REPURPOSING FOR BREAST CANCER SUBTYPES

Breast cancer makes up 25 percent of all new cancer diagnoses globally according to the American Cancer Society(ACS). Developing a highly effective drug can be a time consuming and an expensive ordeal. Drug repurposing is a tremendous approach which takes away some disadvantages of traditional drug development procedures making it both time and cost effective. In this thesis, we are interested in finding good drugs for each of the ten subtypes of breast cancer. Repurposing incorporates identifying unique indications of pre-approved drugs and utilizing them to observe the anti-correlation between the perturbation data and disease data. If anticorrelation, whether it is up-regulation or down-regulation, is detected, it indicates that those drugs cause an effect making them a suitable candidate for drug repurposing. The gene expression data and the discrete copy number variation data will be used to compute z-scores and normalize the data for ten sets of disease subtypes. Gene expression data for ten subtypes was extracted from the METABRIC dataset. We have extracted values corresponding to MCF7 cell line from the pharmacogenomics perturbation data which is the National Institute of Health’s (NIH) Library of Integrated Network-Based Cellular Signatures (LINCS) dataset. We have used our proposed clustering methods to select the best suited drug candidates per subtype. We have obtained a ranked list of suitable drug repurposing and repositioning candidates for each of the 10 breast cancer subtypes.
Risk of Major Bleeding in Very Elderly Patients with Atrial Fibrillation- A Continuous Dilemma in the Real World Clinics. Evidence and Perspectives

The increasing prevalence of Atrial Fibrillation (AF) in elderly brings a high burden of its related complications, among which ischemic stroke is the most disabling and with high mortality and morbidity. Stroke prevention is necessary in the management of patients with AF. Really, appropriate Thromboembolic (TE) prophylaxis essentially requires Oral Anticoagulants (OACs) [1]. However, OACs used for TE event prevention in AF could confer an increased risk of major bleeding. The fear that OACs would induce major bleeding events in very elderly is a prominent reason that could explain why a significant group of physicians/ cardiologists are still reluctant to prescribe OACs to this expanding group of very elderly patients with AF. Here, we like to focus on this dilemma in a manner that might facilitate the decision making and argues to the need of large prospective studies in this regard.
Research on Innovating, Evaluating and Applying Multicast Routing Technique and Genetic Algorithm for Routing Messages in Service - Oriented Routing

MANET (short for Mobile Ad-Hoc Network) consists of a set of mobile network nodes, network configuration changes very fast. Each node will act as a router to maintain network operation. As some standard content based routing protocols, when a node publishes its content, it will broadcast data to network. The published content will be cached at all routers on the network. So when a node publish a request to get some content, it will prepare a subscription message then broadcast it. When any node on network received that subscription, it matches subscription’s content with published content that have been cached on it. If found then matched content will be transferred to requested node. Service Oriented Routing is inherited from the model of content based routing (CBR), combined with several advanced techniques such as Multicast, Genetic algorithm (GA) increase the data rate, and data encryption to ensure information security.
Efficient run-time support for global view programming of linked data structures on distributed memory parallel systems

Developing high-performance parallel applications that use linked data structures on distributed-memory clusters is challenging. Many scientific applications use algorithms based on linked data structures like trees and graphs. These structures are especially useful in representing relationships between data which may not be known until runtime or may otherwise evolve during the course of a computation. Methods such as n-body simulation, Fast Multipole Methods (FMM), and multiresolution analysis all use trees to represent a fixed space populated by a dynamic distribution of elements. Other problem domains, such as data mining, use both trees and graphs to summarize large input datasets into a set of relationships that capture the information in a form that lends itself to efficient mining. This dissertation first describes a runtime system that provides a programming interface to a global address space representation of generalized distributed linked data structures, while providing scalable performance on distributed memory computing systems. This system, the Global Chunk Layer (GCL), provides data access primitives at the element level, but takes advantage of coarse-grained data movement to enhance locality and improve communication efficiency. The key benefits of using the GCL system include efficient shared-memory style programming of distributed dynamic, linked data structures, the abstraction and optimization of structural elements common to linked data, and the ability to customize many aspects of the runtime to tune application performance. Additionally, this dissertation presents the design and implementation of a tree-specific system for efficient parallel global address space computing. The Global Trees (GT) library provides a global view of distributed linked tree structures and a set of routines that operate on these structures. GT is built on top of the generalized data structure support provided by the GCL runtime and can inter-operate with other parallel programming models such as MPI, or along with existing global view approaches such as Global Arrays. This approach is based on two key insights: First, tree-based algorithms are easily expressed in a fine-grained manner, but data movement must be done at a much coarser level of granularity for good performance. Second, since GT is focused on a single data abstraction, attributes unique to tree structures can be exploited to provide optimized routines for common operations. This dissertation also describes techniques for improving program performance and program understanding using these frameworks. Data locality has a significant impact on the communication properties of parallel algorithms. Techniques are presented that use profile-driven data reference traces to perform two types of data layout in Global Trees programs. Lastly, approaches for understanding and analyzing program performance data are presented along with tools for visualizing GT structures. These tools enable GT developers to better understand and optimize program performance.
Spiral Storage: Incrementally Augmentable Hash Addressed Storage

Several well known techniques for organising data so that they may be retrieved on some key attribute divide the data space into k equal parts and use a function that maps all possible values of the key attribute onto the integers 0 to k-1. When storing a data item whose key maps to n, we attempt to place the item in or near the n+1'th part of the data space. However, as the number of data items that we wish to store increases, we must increase the size of our data space, modify the mapping function to suit the new value of k, and reorganise the items already stored in the data space. Traditionally this has been an expensive operation, and this has limited the use of hashing to special situations. This paper describes a simple mapping function that minimises the impact of reorganisation. The technique is assessed by calculating how many parts of the data space must be examined in order to read or insert a data item. Depending on the detailed implementation, we find we usually need only access the part that holds or is to hold the data item.
Parallel Multigrid Unstructured Method for the Solution of the Navier-Stokes Equations

The development of a parallel unstructured multigrid solver for the solution of the compressible FavreAveraged Navier-Stokes equations is described. The flow domain is discretized using unstructured hybrid grids made up of hexahedral, pentahedral, tetrahedral and triangular prismatic cells handled by a single unifying edge-based data-structure. Turbulence is modeled using either zero or two-equation turbulent models. The different sub-grid levels are obtained by agglomeration and the domain decomposition in each subgrid is self contained in the corresponding fine-grid sub-domain avoiding the need for inter-processor/inter-grid level communication. It is shown that this approach does not significantly affects the multigrid convergence rate making it attractive from an implementation point of view. Special emphasis is made in controlling the agglomeration process in the presence of structured or semi-structured patterns and its application to turbomachinery configurations. I Introduction C omputational fluid dynamics simulations play a central role in the design of complex engineering components in general, and in particular, of modern gas turbines. These applications push regularly simulation technologies beyond current limits in terms of speed, capacity and geometric complexity. Unstructured methods are not only superior to deal with arbitrary geometries, from a mesh generation point of view, but provide a more homogeneous framework for the solver than multiblock methods. However it is acknowledged that the higher computational resources required by unstructured methods, specially in terms of memory, has slowdown a wider use, although improvements on the robustness and convergence rate of multigrid methods on unstructured grids and the appearance of low-cost parallel hardware have partially overcome some of these limitations. The homogeneous data-structure of unstructured methods has two advantages that are usually overlooked, namely, superior scalability on parallel machines and lower maintaining cost of the software, which is an added value for small organizations. Nowadays it is generally acknowledged that the most economic means of solving large computational problems are parallel, distributed memory architectures. This is specially true in current days where personal computer (PC) boxes are an inexpensive “out-of-the-shelf” source to construct clusters of CPUs. Explicit methods that use spatial discretizations with compact stencils are specially suitable for parallel implementations since they minimize the communication over
Advancement in stroke research

Stroke is the second most common cause of death in the world especially in the ageing population.1 Thrombolysis and intravascular embolectomy are the main treatment and populated rapidly.2 3 However, the beneficiary is still limited because the mechanistic studies are behind. The basic research on stroke is improved because of new devices, novel techniques and the development of other disciplines.4 The update of a broad range of topics related to stroke is a widely appreciated feature. In order to improve the understanding of cellular and molecular mechanisms of stroke, the 2nd Summit of Chinese Basic Science Research on Stroke 2018 has been held in Beijing, China. Total of 60 basic stroke researchers from China and abroad attended this meeting. The meeting focused on six fields: (1) neuroprotection in acute ischaemic stroke; (2) neurorepair and regeneration; (3) neuroinflammation and neuroimmunology; (4) cognitive disorder in stroke; (5) drug/small molecule therapy for stroke; and (6) advances in optical imaging. Although 95% of published preclinical studies on ‘neuroprotective agents’ (1990–2018) reported positive outcomes in animal models of ischaemic stroke, none translated to successful phase III trials.5 Studies are therefore focusing other approaches. For example, preconditioning and postconditioning induced neuroprotection are advancements in our understanding of the neurochemical basis for their neuroprotective role.6 Some of these studies are trying to transfer these techniques …
Drug resistance and optimizing dolutegravir regimens for adolescents and young adults failing antiretroviral therapy.

OBJECTIVES The integrase strand inhibitor dolutegravir (DTG) combined with tenofovir and lamivudine (TLD) is a single tablet regimen recommended for 1st, 2nd and 3rd-line public health antiretroviral therapy (ART). We determined drug resistance mutations (DRMs) and evaluated the predictive efficacy of a TLD containing regimen for viremic adolescents and young adults in Harare, Zimbabwe. METHODS We sequenced plasma viral RNA from HIV-1-infected adolescents and young adults on 1st and 2nd-line ART with confirmed virologic failure (viral load >1000 copies/ml) and calculated total genotypic susceptibility scores to current 2nd, 3rd line and DTG regimens. RESULTS A total of 160 participants were genotyped; 112 (70%) on 1st line and 48 (30%) on 2nd line, median (interquartile range) age 18 (15-19) and duration of ART (interquartile range) was 6 (4-8) years. Major DRMs were present in 94 and 67% of 1st and 2nd-line failures, respectively (P < 0.001). Dual class resistance to nucleotide reverse transcriptase inhibitors and nonnucleotide reverse transcriptase inhibitors was detected in 96 (60%) of 1st-line failures; protease inhibitor DRMs were detected in a minority (10%) of 2nd-line failures. A total genotypic susceptibility score of 2 or less may risk protease inhibitor or DTG monotherapy in 11 and 42% of 1st-line failures switching to 2nd-line protease inhibitor and TLD respectively. CONCLUSION Among adolescents and young adults, current protease inhibitor-based 2nd-line therapies are poorly tolerated, more expensive and adherence is poor. In 1st-line failure, implementation of TLD for many adolescents and young adults on long-term ART may require additional active drug(s). Drug resistance surveillance and susceptibility scores may inform strategies for the implementation of TLD.