Miracle-dz/UniFAR-FTUs huggingface dataset:
Participación del factor de necrosis tumoral alfa en la proliferación de carcinomas mamarios

El factor de necrosis tumoral alfa (TNFα) es una citoquina pro-inflamatoria implicada en promover el crecimiento de ciertos tipos de canceres. En el presente trabajo de Tesis se exploraron los caminos de senalizacion intracelulares que llevan al crecimiento de las celulas de cancer de mama inducido por TNFα y su interaccion con el receptor tirosina quinasa tipo I, ErbB-2. Nuestros resultados indicaron que el TNFα, actuando a traves del receptor de TNFα tipo 1 (TNFR1), indujo la activacion de las quinasas activadas por mitogenos p42 y p44 (p42/p44 MAPK), la quinasa del amino terminal de c-jun (JNK) y la fosfatidilinositol 3-fosfato quinasa / Akt (PI3-K/Akt), la activacion del factor de transcripcion Factor Nuclear κB (NF-κB) y la proliferacion celular. Tambien comprobamos que la administracion de TNFα in vivo indujo el crecimiento del tumor C4HD en ratones Balb/c y que el tratamiento con un inhibidor selectivo de NF-κB, Bay 11-7082, resulto en la regresion parcial de dicho tumor de mama. Asimismo, el Bay 11-7082 bloqueo la capacidad del TNFα de inducir el aumento de la proteina promotora del ciclo celular ciclina D1 y de la proteina antiapoptotica Bcl-XL. Un importante hallazgo fue demostrar que el TNFα indujo la transactivacion de ErbB-2 en celulas de cancer de mama que sobreexpresan ErbB-2. En estas celulas, el TNFα activa a la tirosina quinasa c-Src, promueve la fosforilacion de ErbB-2 en el residuo Tyr877, y favorece la formacion del heterodimero ErbB-2/ErbB-3. Este ultimo proceso lleva a la fosforilacion de Akt, a la activacion del factor de transcripcion NF-κB, y al aumento en la expresion de ciclina D1. La presencia del inhibidor de ErbB-2, AG825, o de ARN cortos de interferencia (siRNA) contra ErbB-2, pero no la del anticuerpo monoclonal humanizado trastuzumab (HerceptinMR) abolio la fosforilacion de ErbB-2, la activacion de NF-κB y la proliferacion inducidas por TNFα. Nuestro trabajo revela que el TNFα es capaz de transactivar a ErbB-2 y utilizarlo como un intermediario en la generacion de senales mitogenicas. Dado que el TNFα se encuentra presente en un alto porcentaje de canceres de mama, nuestros hallazgos tendrian una gran importancia en la comprension de la biologia de tumores de mama que sobreexpresan ErbB-2 como asi tambien en la eleccion del tratamiento al cual los pacientes son sometidos.
The efficiency of classification in imperfect databases: comparing kNN and correlation clustering

In every day life it is usually too expensive or simply not possible to determine every attribute of an object. So for example, it would not come as a surprise that hospitals only conduct a CT or MRI in given circumstances. Hence it is quite a common problem at such classifications, that data is lacking for both the objects forming the existing classes and the objects needing to be sorted. There exist different algorithms that try to make up the missing information and do the calculations for the classification based on these, and there are also some algorithms that only use the existing data and nothing else. In this article we compare two algorithms, the well-known kNN and one based on correlation clustering. Whilst the former only extrapolates based on accessible data, the latter only uses existing data. Keywords: classification, kNN, missing data, correlation clustering MSC: 68W20, 62H30, 91C20
Influence of substrate temperature on the deposition of the homostructure SnO2:Sb/SnO2:Er via sol–gel dip-coating

Abstract SnO2 thin films doped with Sb5+ and Er3+ were deposited by sol–gel-dip-coating forming the homostructure SnO2:Sb/SnO2:Er, between aluminum contacts. The films were deposited on glass substrates at room temperature and 90 °C. The homostructure showed capacitive behavior as obtained from cyclic voltammetry, and the sample deposited with heated substrate at 90 °C showed a curve similar to a switchable ferroelectric diode, mainly for low scan rates. Heated substrates also lead to device higher transmittance in the near infrared, related to lower electron concentration, but the improvement in the sample quality leads to higher mobility, compensating the lower electron concentration, causing an overall effect of higher conductivity.
Fine-Grained Visual-Textual Representation Learning

Fine-grained visual categorization is to recognize hundreds of subcategories belonging to the same basic-level category, which is a highly challenging task due to the quite subtle and local visual distinctions among similar subcategories. Most existing methods generally learn part detectors to discover discriminative regions for better categorization performance. However, not all parts are beneficial and indispensable for visual categorization, and the setting of part detector number heavily relies on prior knowledge as well as experimental validation. As is known to all, when we describe the object of an image via textual descriptions, we mainly focus on the pivotal characteristics and rarely pay attention to common characteristics as well as the background areas. This is an involuntary transfer from human visual attention to textual attention, which leads to the fact that textual attention tells us how many and which parts are discriminative and significant to categorization. So, textual attention could help us to discover visual attention in the image. Inspired by this, we propose a fine-grained visual-textual representation learning (VTRL) approach, and its main contributions are: 1) fine-grained visual-textual pattern mining devotes to discovering discriminative visual-textual pairwise information for boosting categorization performance through jointly modeling vision and text with generative adversarial networks, which automatically and adaptively discovers discriminative parts and 2) VTRL jointly combines visual and textual information, which preserves the intra-modality and inter-modality information to generate complementary fine-grained representation, as well as further improves categorization performance. Comprehensive experimental results on the widely used CUB-200-2011 and Oxford Flowers-102 datasets demonstrate the effectiveness of our VTRL approach, which achieves the best categorization accuracy compared with the state-of-the-art methods.
Path Planning using Reinforcement Learning and Objective Data

With the rapid development of autonomous driving vehicles, decision making for path planning has become advanced and challenging topics. Traditional planning and control methods are usually limited by the difficulty to find good solutions, so deep machine learning has become engineers’ focus in order to solve these problems. Several related works using reinforcement learning have been done in the simulation environment TORCS. This thesis will focus on training an vehicle to learn driving at certain target speed on high way condition without collision. A complete learning structure is designed for vehicle system, and a hierarchical learning algorithm will be used with deep reinforcement learning methods. Deep Q learning is used to learn option level of policy, and deep deterministic policy gradient is used to learn primitive action level of policies. Neural networks are used to approximate the value functions. The training results are tested on various set up of opponents vehicles on the track, with the probability of damage recorded and compared.
Comparação de Random Survival Forest e modelo de Cox com relação a performance de previsão: Um estudo de caso

A analise de sobrevivencia e atualmente uma das ferramentas estatisticas que mais crescem no meio academico. Na analise de sobrevivencia existe uma solida teoria de modelos de regressao que pode ser usada para modelar dados com observacoes incompletas chamadas censuras, a maioria desses modelos sao parametricos e existe tambem o modelo semi-parametrico de riscos proporcionais de Cox. Neste sentido, os modelos Machine Learning em conjunto com o Random Forest em analise de sobrevivencia (RSF) sao uma alternativa crescente para o uso em predicao. Foram ajustados 4 diferentes configuracoes de coariaveis no RSF, partindo de um modelo saturado com presenca de interacao ate um modelo parcimonioso baseado em criterios propios a area de Machine Learning para escolha de variaveis. Os modelos foram comparados contra o modelo de Cox via criterios C-index e Brier Score Index - IBS. O melhor modelo ajustado para predicao foi o modelo completo com todas as covariaveis sob modelagem de Random Survival Forest.
Extension Properties of Graphs and Structures

main motivation for graph drawing and geometric representations is finding ways to visualize graphs efficiently to make their structure as understandable as possible. In this thesis, we are concerned with structural properties which are implied for graphs having certain geometric representations. We study two types of geometric representations: inter-section representations in which the vertices are represented by geometric sets while the edges are encoded by their intersections, and planar embeddings of planar graphs which are drawing of graphs into the plane without crossing edges. The existence of geometric representations can be used to deduce additional information about graphs. The main idea of this thesis is to ask what extra information can be deduced from the structure of all possible geometric representations.
Regulación de la expresión y función de las lectinas mieloides dc-sign y lsectin

DC-SIGN y LSEctin pertenecen al grupo II de las lectinas tipo C y ambas estan codificadas en el brazo corto del cromosoma 19 (19p13.2). La presente tesis pretende el estudio de la expresion de ambas lectinas, asi como la caracterizacion estructural y funcional de LSECtin. LSECtin ("Liver and lymph node sinusoidal endothelial cell C-type lectin"), aunque descrita anteriormente como una proteina tipo II `propia de celulas endoteliales sinusoidales, se expresa en el linaje mieloide, y concretamente en celulas dendriticas y madrofagos aislados ex vivo, asi como en estas mismas poblaciones generadas in vitro. Ademas, en este trabajo se demuestra la inducibilidad por IL-4 de al menos tres isoformas generadas mediante procesamiento alternativo. Como parte de la caracterizacion LSECtin se analizo el perfil de reconocimiento de azucares y su capacidad para interaccionar con patogenos, observandose que LSECtin reconoce N-Acetil-Glucosamina y funciona como receptor de patogenos, ya que su expresion confiere a celulas leucemicas la capacidad de unir virus Ebola. Ademas, la interaccion con ligado o anticuerpo especifico provoca la internalizacion de la molecula, proceso que depende los motivos tirosina y diglutamico presentes en la region citoplasmatica. Por tanto, LSECtin, al que DC-SIGN, puede considerarse como un receptor de patrones moleculares asociados a patogenos de celulas mieloides humanas. Por otra parte, ambas lectinas expresas en celulas mieloides estan reguladas a nivel transcripcional por el factor PU.1 a traves de la ocupacion de elementos de DNA contenidos en sus regiones reguladoras proximales y la colaboracion con otros factores de transcripcion hematopoyeticos. La expresion de DC-SIGN y LSECtin correlaciona con la de PU.1 en el proceso de maduracion de celulas dendriticas, asi como en la activacion alternativa de macrofagos. La reduccion de los niveles de expresion de PU.1 provocan una disminucion en el mensajero de ambas lectinas. Por todo ello, este trabajo demuestra la implicacion de PU.1 en la expresion mieloide de DC-SIGN y LSECtin, una contribucion acorde con el papel que tiene PU.1 en la adquisicion del repertorio molecular de captacion antigenica por celulas dendriticas y macrofagos.
Propanol Vapor Sensor Utilizing Air-Gap as Sensing Part of the Mach-Zehnder Interferometer

الغرض من الدراسة هو اظهار اعلى حساسية من مستشعر بخار بروبانول CHOH) 2)3((CH . يتم استخدامفجوة هواء في ذراعي مقياس تداخل ,2.0 ,2.0 , ماخزندر لتعمل كآلية استشعار بواسطة اضافة حجم البروبانول ) 2.00( مليميتر. يتغير ثابت الانتشار ، 1.0 ، 1 ، 1( مل ولضبط إشارة الطور مع مسافة الفجوة ) 2.0 ,2.0 β للضوء المرسلفي فجوة ماخزندر بسبب التباين الصغير الذي سيزيح اشارة الطور البصري. النتائج التجريبية تشير إلى أن اعلى حساسيةبوربانول تبلغ حوالي 2.20. 0 نانومتر / مل في مختلف حجم السائل بينما اعلى تغير الطور يكون 310×0.182 عند حجمسائل 0.2 مل للمسافة 1 مليميتر.
Thermal Face Authentication with Convolutional Neural Network

Matching thermal face images as a method of biometric authentication has gained increasing interest because of its advantage of tracking a target object at night and in total darkness. Therefore, for security purposes, it has become highly favourable and has extensive applications, for instance, in video surveillance at night. The aim of this study is to present a simple and efficient deep learning model, which accurately predicts person identification. A pre-trained Convolutional Neural Network (CNN) is employed to extract the features of the multiple convolution layers of the low resolutions’ thermal infrared images. To run the program and evaluate the performance, we use a sample of 1500 resized thermal images, each with resolution 181×161 pixels. The sample comprises of images that were captured within different time-lapse and with diverse emotions, poses and lighting conditions. The proposed approach is effective compared to the state-of-the-art thermal face recognition algorithms and achieves impressive accuracy of 99.6% with less processing and training times.
Compact Summaries of Rich Heterogeneous Graphs

Large data graphs with complex and heterogeneous structure, possibly featuring typed data and an ontol- ogy encoding the application-domain semantics, are widely used nowadays. The literature provides many solutions for building succinct representations of graphs, called summaries, in particular based on graph quotients through an equivalence relation between graph nodes. We consider efficient and compact summarization of rich heterogeneous graphs, in particular RDF ones, which may feature data edges, typed nodes, and an ontology. First, we devise new graph node equivalence relations, particularly tolerant of structural heterogeneity; they lead to compact yet informative quotient summaries. Second, we show how to extend any node equivalence relation (including, but not limited to ours) to types and ontologies, and provide the first in-depth study of the interplay between quotient sum- marization and RDF graph saturation, which defines the semantics of an RDF graph, in particular in the presence of an ontology. We establish a sufficient condition on a node equivalence relation, which if met allows an efficient method, called shortcut, for summarizing RDF graphs. We describe novel, efficient, incremental algorithms for summarizing graphs with our node equivalence relations, and experiments validating their performance.
On the iteration-complexity of a non-Euclidean hybrid proximal extragradient framework and of a proximal ADMM

ABSTRACT Pointwise and ergodic iteration-complexity results for the proximal alternating direction method of multipliers (ADMM) for any stepsize in have been recently established in the literature. In addition to giving alternative proofs of these results, this paper also extends the ergodic iteration-complexity result to include the case in which the stepsize is equal to . As far as we know, this is the first ergodic iteration-complexity for the stepsize obtained in the ADMM literature. These results are obtained by showing that the proximal ADMM is an instance of a non-Euclidean hybrid proximal extragradient framework whose pointwise and ergodic convergence rate are also studied.
Substituição de palma miúda por palma orelha de elefante mexicana para vacas mestiças em lactação

Um recurso forrageiro que ha muito tempo e utilizado na nutricao de ruminantes, especialmente na bovinocultura leiteira, na regiao semiarida do Nordeste durante o periodo de estiagem e a palma, visto que as caracteristicas morfofisiologicas das especies da familia Cactaceae, plantas de metabolismo acido das crassulaceas (CAM) conseguem suportar os rigores de clima e as especificidades fisico-quimicas dos solos do semiarido. Objetivou-se avaliar os efeitos da substituicao de palma Miuda (MIU) por Orelha de Elefante Mexicana (OEM) na ingestao; digestibilidade de nutrientes; producao e composicao do leite; comportamento alimentar; sintese de proteina microbiana; balanco de nitrogenio; parâmetros ruminais e sanguineos; perfil de acidos graxos; indices de atividades enzimatica e indices nutricionais da gordura do leite de vacas Girolando. Dez vacas Girolando com 500 ± 51,6 kg de peso corporal foram distribuidas em quadrado latino duplo 5 x 5, distribuidas em cinco tratamentos experimentais que consistiram em diferentes proporcoes de substituicao de MIU por OEM (0; 25; 50; 75 e 100%). A ingestao e a digestibilidade de materia seca (MS); materia orgânica (MO); proteina bruta; o teor de nutrientes digestiveis totais diminuiram linearmente com a substituicao. Apesar da diminuicao na ingestao e digestibilidade da MS, MO e PB, o suprimento de nutrientes foi suficiente para manter a producao media de leite em 12,5 kg/dia. A substituicao de palma MIU por OEM proporcionou reducao linear dos AGs C12:1 cis-9 + C:13:0 e o C14:0. O AG C15:0 iso aumentou linearmente e os AGs C15:0 ante iso e o C15:0 reduziram com as substituicoes. O AG C16:0 apresentou uma reducao linear com as substituicoes de MIU por palma OEM. Os indices de atividade das enzimas SCD14, SCD16 e SCDRA nao foram influenciadas. Entretanto, a enzima SCD18 reduziu a atividade com as substituicoes de MIU por OEM. A OEM reduziu o teor de alguns acidos graxos saturados como o C16:0 e aumenta poli-insaturados como o C18:2. A OEM pode substituir 100% da MIL, em dietas com 48% de palma forrageira, para vacas em lactacao mesticas com 12,5 kg/dia de producao de leite, promovendo o mesmo desempenho e sem alterar as caracteristicas nutricionais dos acidos graxos do leite.
Factors That Influence Student's Level of Satisfaction With Regards To Higher Educational Facilities Services

Educational institutions like any other organizations are realising the significance of customers in their strategic decision-making process,. This paper examines students’ priorities with respect to their satisfaction with facilities services offered at higher educational institutions . The undertaken survey forms a basis for measuring facilities performance within higher educational institutions. The paper starts with a review of previous work in this subject area. It provides a background theory of customer’s satisfaction with regards to higher education facility services and then outlines the methodology of the study. Sampling and data collection methods are discussed, followed by the analysis. Finally, the results on students’ perspectives about higher education facility services identify the most critical aspects that affect them as education clients.
PENGEMBANGAN SISTEM TEMU KEMBALI INFORMASI YURISPRUDENSI BERBASIS CONTENT MANAGEMENT SYSTEM (STUDI KASUS PERPUSTAKAAN HUKUM DANIEL S. LEV)

Perpustakaan Hukum Daniel S. Lev memiliki banyak bahan pustaka berupa himpunan yurisprudensi, akan tetapi sistem temu kembali yang dimiliki masih dinilai belum efektif dan efisien. Beberapa sistem yang telah ada juga belum memenuhi kebutuhan penggunannya. Oleh karena itu, penelitian ini menawarkan solusi berupa pengembangan sistem temu kembali informasi yurisprudensi berbasis content management system (CMS). Penelitian ini bertujuan untuk: (1) menentukan kriteria sistem temu kembali informasi yurisprudensi terhadap masalah dari sistem sebelumnya dan kebutuhan pengguna saat ini; (2) mengembangkan sistem temu kembali informasi yurisprudensi berbasis cms di Perpustakaan Hukum Daniel S. Lev; dan (3) mengetahui hasil usability testing dari pengembangan sistem. Metode penelitian yang digunakan adalah studi kasus dengan pendekatan kualitatif untuk menganalisis kebutuhan sistem dan pendekatan kuantitatif untuk memperoleh data usability test. Teknik pengambilan sampel yang dilakukan adalah purposive sampling, maka diperoleh 3 sampel sebagai informasi dalam proses analisis kebutuhan sistem dan 8 sampel sebagai partisipan pada proses usability test. Hasil penelitian menghasilkankan: (1) diperolehnya latar belakang pengembangan sistem, analisis masalah sistem terdahulu dan berbagai spesifikasi kebutuhan sistem secara umum dan spesifik; (2) dibangunnya Direktori Yurisprudensi yang dapat mengkatalogisasi, menyimpan dan menemukan kembali data putusan yurisprudensi; (3) Direktori Yurisprudensi dinilai sebagai sistem yang sudah efektif dan efisien, sedangkan kepuasan pengguna terhadap sistem dinilai masih SEDANG.Kata kunci: hukum, yurisprudensi, sistem temu kembali
Energy-Efficient 5G Phased Arrays Incorporating Vertically Polarized Endfire Planar Folded Slot Antenna for mmWave Mobile Terminals

An energy-efficient 5G phased array incorporating a novel vertically polarized (V-pol) endfire planar folded slot antenna (PFSA) for user devices (UE) is presented. First, we analytically amend existing millimeter-wave (mmWave) hybrid beamforming architectures that have precluded the uniqueness of 5G antennas and UEs. The total power consumption of the derived switchable 5G UE antenna system is estimated to be reduced by approximately 70% in comparison with a recently reported fully digital mmWave 5G UE antenna system under identical conditions. This is attributed to the ability to deactivate certain RF chains based on the directive nature of antenna elements. The PFSA featuring a height profile of less than 1/<inline-formula> <tex-math notation="LaTeX">$9~\lambda _{ {0}}$ </tex-math></inline-formula> is derived from a planar folded slot structure. The designed and fabricated <inline-formula> <tex-math notation="LaTeX">$1\times 4$ </tex-math></inline-formula> PFSA array features an impedance bandwidth of approximately 4 GHz with a center frequency of 37–39 GHz and the gain of 7.7 dBi with antenna efficiency of 94.12% at 39 GHz. An mmWave 5G beamforming module is demonstrated using the presented energy-efficient 5G beamforming architecture and V-pol endfire PFSA array. The fabricated module achieves a measured EIRP of 18.2 dBm and a scanning range of ±50° in azimuth at 28 GHz.
IMMERSED BOUNDARY METHOD APPLICATION AS A WAY TO BUILD A SIMPLIFIED FLUID-STRUCTURE MODEL

A simplified fluid-structure interaction model, consisting of a cylinder tethered by a spring system interacting dynamically with an incompressible two-dimensional lid-driven cavity flow, is solved using the immersed boundary method. Results show that when the spring forces are weaker than the fluid drag force, the springs stretch freely and the cylinder motion is the direct result of the fluid dynamics action. For higher values of spring forces, the cylinder motion reaches a maximum displacement, and the spring forces induce the cylinder to an oscillatory movement damped by the fluid drag forces. Subsequently the amplitude of the displacement decreases. The cylinder motion is restricted within the mainstream fluid flow, where the maximum displacement reduces as the Reynolds number increases.