Miracle-dz/UniFAR-FTUs huggingface dataset:
A.T.L.A.S.: Automatic Terrain and Labels Assembling Software

The interactivity and the decision making processes typical of a video game have a strong in uence on how the story of the game should be told, but also on how the imaginary world of the game, where the story takes place, should be structured. As a consequence, there is a growing interest in the development of tools able to couple well with the increasing demanding peculiarities of “game writing” and “world building” activities, especially when game or level designers are called to do also the work of a writer. In this paper, we present A.T. L.A. S. (Automatic Terrain and Labels Assembling Software), a tool aimed at the automatic creation of complex imaginary worlds for video games, based on Procedural Content Generation techniques, but characterized also by a story-driven approach.
Malware Classification Using Machine Learning Algorithms and Tools

Malware classification is the process of categorizing the families of malware on the basis of their signatures. This work focuses on classifying the emerging malwares on the basis of comparable features of similar malwares. This paper proposes a novel framework that categorizes malware samples into their families and can identify new malware samples for analysis. For this six diverse classification techniques of machine learning are used. To get more comparative and thus accurate classification results, analysis is done using two different tools, named as Knime and Orange. The work proposed can help in identifying and thus cleaning new malwares and classifying malware into their families. The correctness of family classification of malwares is investigated in terms of confusion matrix, accuracy and Cohen's Kappa. After evaluation it is analyzed that Random Forest gives the highest accuracy.
A Classification Method of Traditional Decor Pattern Based on Support Vector Machines Approach and Gray Level Co-occurrence Matrix with Mean and F-Score

Traditional decor pattern of Europe are based on European cultural assets like structure, clothes, pottery, etc. Each country in Europe has a unique pattern of painting. In this paper, we classify those patterns by country that is Russia, Polland, Turkey, and then Belarus. We are used GLCM for image feature extraction, and F-Score to selection features. KNN and SVM are classification method that we used in this research. The experiment result shows that classification traditional decor pattern of Europe with SVM and F-Score feature selection produce the highest accuracy that is 100 %.
OINOS, an application suite for the performance evaluation of classifiers

The last few years have been characterized by a big development of machine learning (ML) techniques, and their application has spread in many fields. The success of their use in a specific problem strongly depends on the approach used, the dataset formatting, and not only on the type of ML algorithm employed. Tools that allows the user to evaluate different classification approaches on the same problem, and their efficacy on different ML algorithms, are therefore becoming crucial. In this paper we present OINOS, a suite written in Python and Bash aimed to the evaluation of performances of different ML algorithms. This tool allows the user to face a classification problem with different classifiers and dataset formatting strategies, and to extract related performance metrics. The tool is presented and then tested on the classification of two diagnostic species from a public electroencephalography (EEG) database. The flexibility and ease of use of this tool allowed us to easily compare the performances of the different classifiers varying the dataset formatting and to determine the best approach, obtaining an accuracy of almost 75%. OINOS is an open source project, therefore its use and sharing are encouraged.
Implementing ICA in consumers load profile estimation

This paper aims to use independent components analysis for consumer load profile study. The paper points out some general notions about the method of analyzing independent components a statistical method that is receiving more and more attention from the research community. The method is a blind source separation one and it is used especially for signal processing. The paper show how ICA can be used in order to identify typically consumer load profiles. Key-Words: ICA – independent component analysis, load profile, power system,
Regional FDI Spillovers and Local Suppliers: Disentangling the Effects of Foreign Ownership, Technology Gap and Absorptive Capacity

FDI firms can generate important dynamic impacts via sourcing linkages with local suppliers. In this paper, I present novel evidence on the scale, nature and spillover impact of FDI firms in Nuevo Leon, Mexico. The main findings are three-fold. First, I find no differences between FDI and domestic producer firms regarding their level of use of local suppliers. In strong contrast, FDI firms are significantly more involved in a variety of knowledge transfer activities. This applies in particular to types of technological support, support with a direct positive impact on production processes of suppliers. In extension of these spillover-creating activities, suppliers of FDI firms are more likely to experience large technological and organizational impacts. Second, the technology gap between producer firms and suppliers plays a varied role. In general, a large technology gap lowers the supportiveness of producer firms. However, FDI firms offer more technological support when the gap with their suppliers of material inputs is large. A large technology gap also has a positive effect on a supplier experiencing a large positive impact from its business dealings with producer firms in general and with FDI firms in particular. Third, the level of absorptive capacity of suppliers is also important, as the findings indicate that several indicators of absorptive capacity are associated with local suppliers experiencing large technological and organizational impacts.
Cyclic ADP ribose is a novel regulator of intracellular Ca oscillations in human bone marrow mesenchymal stem cells

Bone marrow mesenchymal stem cells (MSCs) are a promising cell source for regenerative medicine. However, the cellular biology of these cells is not fully understood. The present study characterizes the cyclic ADP-ribose (cADPR)-mediated Ca signals in human MSCs and finds that externally applied cADPR can increase the frequency of spontaneous intracellular Ca (Cai) oscillations. The increase was abrogated by a specific cADPR antagonist or an IP3Rs inhibitor, but not by ryanodine. In addition, the cADPR-induced increase of Cai oscillation frequency was prevented by inhibitors of nucleoside transporter or by inhibitors of the TRPM2 channel. RT-PCR revealed mRNAs for the nucleoside transporters, CNT1/2 and ENT1/3, IP3R1/2/3, and the TRPM2 channel, but not those for RyRs and CD38 in human MSCs. Knock-down of the TRPM2 channel by specific siRNA abolished the effect of cADPR on the Cai oscillation frequency, and prevented the stimulation of proliferation by cADPR. Moreover, cADPR remarkably increased phosphorylated ERK1/2, but not Akt or p38 MAPK. However, cADPR had no effect on adipogenesis or osteogenesis in human MSCs. Our results indicate that cADPR is a novel regulator of Cai oscillations in human MSCs. It permeates the cell membrane through the nucleoside transporters and increases Ca oscillation via activation of the TRPM2 channel, resulting in enhanced phosphorylation of ERK1/2 and, thereby, stimulation of hMSC proliferation. This study delineates an alternate signaling pathway of cADPR that is distinct from its well established role of serving as a Ca messenger for mobilizing the internal Ca stores. Whether cADPR can be used clinically for stimulating marrow function in patients with marrow disorders remains further studied.
Estudo de casos sobre abandono do tratamento da tuberculose: avaliação do atendimento, percepção e conhecimentos sobre a doença na perspectiva dos clientes (Fortaleza, Ceará, Brasil)

Esta pesquisa foi desenvolvida em 1995 e 1996 no Centro de Saude Oliveira Pombo, Fortaleza, Ceara. Os objetivos foram os seguintes: geral - identificacao de fatores que determinam o abandono do tratamento da tuberculose; especificos - analise da dinâmica do atendimento e da frequencia de casos e de abandono do tratamento; identificacao das caracteristicas socio-economicas e culturais dos clientes (atores sociais); causas impeditivas ao tratamento; conhecimentos e percepcao da doenca pelos clientes. Duas abordagens metodologicas foram utilizadas: de natureza epidemiologica descritiva e sociologica interpretativa, utilizando questionario semi-estruturado com os seguintes conteudos: sexo; idade; estado civil; escolaridade; ocupacao; rendimento; descricao da residencia; formas de deslocamento; niveis de conhecimentos e percepcao sobre a doenca e o tratamento; identificacao de sentimentos reativos a doenca; avaliacao sobre o atendimento; comportamento e estilos de vida prejudiciais; decisoes de mudancas para melhoria da saude. Os resultados obtidos apontaram fatores multiplos de natureza complexa, que influem direta ou indiretamente para o abandono do tratamento.
A Binaural Cochlear Implant Coding Strategy inspired by the Medial Olivocochlear Reflex: Intelligibility and Listening Effort with Moving Sources

It has been demonstrated that advanced binaural signal processing strategies inspired by the medial olivocochlear reflex have the potential to improve speech reception for cochlear implant users [Lopez-Poveda, Eustaquio-Martín, Stohl, Wolford, Schatzer, and Wilson (2016). Ear Hear. 37, e138–e148]. Here, we evaluate the performance of several alternative implementations of the novel processing strategies for moving sound stimuli using word triplets in a vocoder simulation. In addition, we look at listening effort using the single-task oral response time. We found that, in the tested scenarios, performance with the advanced processing strategies was similar as for a ‘standard’ processing strategy involving two independently functioning cochlear implants. Indeed, performance was slightly worse for one of the novel strategies than for the standard strategy. Further tests are needed to explain these results. Response times were reliably affected by the signal-to-noise ratio and the inter-stimulus interval (rapidness of presentation), but were approximately equal for all processing strategies. Assuming that response times reflect listening effort, this suggests that listening with the more advanced strategies requires similar effort as listening with the standard strategies.
Can you hear me now? A call detail record based end-to-end diagnostics system for mobile networks

Automation of mobile network fault diagnostics and troubleshooting is critical for successful transformation to new network technologies such as 5G and core Network Function Virtualization (NFV). This paper presents a decision tree-based call detail record (CDR) labeling process, which is used to construct an automated end-to-end diagnostics system for mobile network faults. The presented diagnostics system will enable the utilization of automated troubleshooting systems, and the execution of automated corrective actions in third party systems such as Self-Organizing Network (SON) and NFV domain orchestrator.
Proliferative regulation of alveolar epithelial type 2 progenitor cells by human Scnn1d gene

Lung epithelial sodium channel (ENaC) encoded by Scnn1 genes is essential for maintaining transepithelial salt and fluid homeostasis in the airway and the lung. Compared to α, β, and γ subunits, the role of respiratory δ-ENaC has not been studied in vivo due to the lack of animal models. Methods: We characterized full-length human δ802-ENaC expressed in both Xenopus oocytes and humanized transgenic mice. AT2 proliferation and differentiation in 3D organoids were analysed with FACS and a confocal microscope. Both two-electrode voltage clamp and Ussing chamber systems were applied to digitize δ802-ENaC channel activity. Immunoblotting was utilized to analyse δ802-ENaC protein. Transcripts of individual ENaC subunits in human lung tissues were quantitated with qPCR. Results: The results indicate that δ802-ENaC functions as an amiloride-inhibitable Na+ channel. Inhibitory peptide α-13 distinguishes δ802- from α-type ENaC channels. Modified proteolysis of γ-ENaC by plasmin and aprotinin did not alter the inhibition of amiloride and α-13 peptide. Expression of δ802-ENaC at the apical membrane of respiratory epithelium was detected with biophysical features similar to those of heterologously expressed channels in oocytes. δ802-ENaC regulated alveologenesis through facilitating the proliferation of alveolar type 2 epithelial cells. Conclusion: The humanized mouse line conditionally expressing human δ802-ENaC is a novel model for studying the expression and function of this protein in vivo .
Incontinencia urinaria de esforço em mulheres no menacme : tratamento com exercicios do assoalho pelvico associados ao biofeedback eletromiografico

Com o objetivo de avaliar o tratamento da incontinencia urinaria de esforco feminina com exercicios do assoalho pelvico associados ao biofeedback eletromiografico, realizou-se um ensaio clinico nao controlado de 26 mulheres no menacme. Elas foram acompanhadas no periodo de outubro de 2003 a junho de 2004, na Secao de Fisioterapia do Centro de Atencao Integral a Saude da Mulher (CAISM) da Universidade Estadual de Campinas (Unicamp). Todas as mulheres foram clinicamente avaliadas e submetidas a um estudo urodinâmico para preencher os criterios de inclusao e exclusao. Antes do inicio e ao final do tratamento, as participantes preencheram um diario miccional durante uma semana, foram submetidas ao teste do absorvente (pad test) de uma hora e a avaliacao da forca muscular do assoalho pelvico pelo toque vaginal e pelo perineometro. Em seguida, foram submetidas a avaliacao eletromiografica de superficie (sEMG) do assoalho pelvico. Alem disso, elas responderam a um questionario de qualidade de vida e outro para elaboracao de um indice de perda urinaria. As mulheres foram tratadas individualmente, duas vezes por semana, totalizando 12 sessoes de fisioterapia. O protocolo de exercicios consistia inicialmente em quatro sequencias de 20 contracoes (fasicas e tonicas) com um acrescimo gradativo nas primeiras quatro sessoes, ate atingir o total de 200 contracoes, mantidas ate o final do tratamento. Os exercicios foram realizados em decubito dorsal, nas posicoes sentada e ortostatica. Os resultados mostraram uma reducao significativa na frequencia de perdas urinarias, na nocturia e no numero de absorventes utilizados. A cura objetiva foi encontrada em 20 (76,9%) mulheres. Houve um aumento significativo na forca de contracao do assoalho pelvico. Em relacao a eletromiografia de superficie do assoalho pelvico, as amplitudes das contracoes fasica e tonicas de 10 e 20 segundos aumentaram significativamente ao longo do tratamento, principalmente na primeira metade. O indice de perda urinaria diminuiu significativamente e observou-se melhora da qualidade de vida em praticamente todos os parâmetros avaliados. A maioria das mulheres referiu melhora importante dos sintomas urinarios, sentindo-se curadas ou quase curadas, logo apos o termino do tratamento. Concluiu-se que os exercicios do assoalho pelvico associados ao biofeedback eletromiografico podem ser uma alternativa eficaz no tratamento conservador da incontinencia urinaria de esforco de mulheres no menacme Abstract
Towards a Model to meet Players' Preferences in Games

Different have been the attempts to use Procedural Content Generation via Machine Learning in game development. Among the others, some researchers have tried to adapt a game, or some part of it, to the user playing it. This approach has been called “adaptive game design”. Contrarily to what it may seem, apparently the most interesting findings in this field have been made for drama managers, i.e. for the artificial intelligences that procedurally generate story flow. The paper takes the move from what seems to be a missing in current literature and it is aimed at proposing and discussing a possible procedural content generation via machine learning model that takes the latest approaches in machine learning applied to drama managers and combine them with findings from adaptive game design. The objective of the proposed model is to give players the best possible gaming experience of a highly branched game, depending on their attitudes towards the gaming world.
Cliff ' s Perspective How Can a Strategy Still Work If Everyone Knows About It ?

Some assert that once a strategy is “discovered” it can’t work anymore. Others, often implicitly, assume the future will look as wonderful as the past. Perhaps not surprisingly, we stake out a middle ground. We’re going to argue that certain well-known classic strategies that have worked over the long term will continue to work going forward, though perhaps not at the same level and with different risks than in the past. [1] We will focus on classic “factor”-type strategies. [2] Our favorites won’t shock anyone. They are things like value, momentum, carry and quality/defensive. [3] Of these, we’ll use value investing as a common example throughout this discussion.
BPA Bisphenol A cDNA Complementary DNA CEA Carcinoembryonic antigen CSF Cerebrospinal fluid EDC Endocrine-disrupting compound FRET Fluorescence resonance energy transfer G4 G-quadruplex HBV Hepatitis B virus HRCA Hyperbranched rolling circle amplification HRP Horseradish peroxidase LSPR Localized su

Oligonucleotidebased biosensors have drawn much attention due tobecause of their broad applications in in vitro diagnostics and environmental hazard detection. They are particularly of interest to many researchers because of their high specificity as well as excellent sensitivity. Recently, oligonucleotide-based biosensors have been used to achieve not only genetic detection of targets, but are also able to handle the detection of small molecules, peptides, and proteins. This has further broadened the applications of these sensors in the medical andor health care industry. In this review, we have highlighted various examples of oligonucleotide-based biosensors for the detection of diseases, drugs, and environmentally hazardous chemicals. Each example is provided with detailed schematics of the detection mechanism in addition to the supporting experimental results. Furthermore, future perspectives and new challenges in oligonucleotide-based biosensors are discussed.
Pricing (and Selling) Copyrighted Goods on a Digital Support: The Case of Magazine Press

__________________________________________________________________________ 2 Index _______________________________________________________________________________ 3 Introduction _________________________________________________________________________ 4 The Pricing of Digital Magazines ________________________________________________________ 5 Bargaining Pricing Model _____________________________________________________________ 10 Conclusions ________________________________________________________________________ 18 Bibliography _______________________________________________________________________ 22 Appendix __________________________________________________________________________ 24 Pricing Online Magazines under Constraints in Platform Deployment 30/06/11
THE EFFECT OF TEMPERATURE VARIATION IN THE DETERMINATION OF HARDNESS OF THE COMPOSITE LAYERS

Composite materials due to performance that can be achieved, have a great use in all fields, from automotive and aerospace, nuclear industry and food. Due to multiple areas of application, aimed to improve the properties of composites, one way to increase the mechanical properties of composite deposits consists of applying heat treatments. Heat treatment applied to composite materials by diffusion phases that activates causes structural changes by removing hydrogen layer and increase adhesion.
Simplifying Constructions and Assumptions for iO

The existence of secure indistinguishability obfuscators (iO) has far-reaching implications, significantly expanding the scope of problems amenable to cryptographic study. A recent line of work [Ananth, Jain, and Sahai, 2018; Aggrawal, 2018; Lin and Matt, 2018; Jain, Lin, Matt, and Sahai, 2019] has developed a new theory for building iO from simpler building blocks, and represents the state of the art in constructing iO from succinct and instance-independent assumptions. This line of work has culminated in a construction of iO from four assumptions, consisting of two standard assumptions, namely sub-exponentially secure LWE and SXDH over bilinear groups, and two other pseudorandomness assumptions: The first assumes weak pseudorandomness properties of generators computable by constant-degree polynomials over the integers, as well as an LWE leakage assumption, introduced by [Jain, Lin, Matt, and Sahai, 2019]. The second assumes the existence of Boolean PRGs with constant block locality [Goldreich 2000, Lin and Tessaro 2017]. In this work, we make the following contributions: • We completely remove the need to assume a constant-block local PRG. This yields a construction of iO based on three assumptions of LWE, SXDH and a constant degree perturbation resilient generator [Jain, Lin, Matt, and Sahai, 2019] • Our construction is arguably simpler and more direct than previous constructions. We construct the notion of special homomorphic encoding (SHE) for all P/Poly from LWE, by adapting techniques from Predicate Encryption [Gorbunov, Vaikunthanathan and Wee, 2015]. Prior to our work, SHE was only known for the class NC, from Ring LWE [Agrawal and Rosen, 2017]. Our new SHE allows our construction of iO to avoid an intermediate step of bootstrapping via randomized encodings. Indeed, we construct a functional encryption scheme whose ciphertext grows sublinearly only in the output length of the circuits as opposed to its size. This is first such scheme that does not rely on multilinear maps. • Finally, we investigate a main technical concept facilitating the line of work on iO; namely the notion of partially hiding functional encryption introduced by [Ananth, Jain, and Sahai 2018]. The partially hiding functional encryption used in these iO constructions allows an encryptor to encrypt vectors of the form x,y, z ∈ Zp and allows any decrptor with a key for function f to learn 〈f(x),y ⊗ z〉. The encryption is allowed to reveal x while keeping y, z hidden. Furthermore, the size of the cipher-text should grow linearly in n. We significantly improve the starte of the art for partially hiding functional encryption: Assuming SXDH over bilinear maps, we construct a partially hiding FE scheme where the function f is allowed to be any polynomial sized arithmetic branching program. Prior to our work, the best partially hiding FE only supported the class of constant degree polynomials over Zp [Jain, Lin, Matt, and Sahai 2019]. ∗UCLA, aayushjainiitd@gmail.com †UW, rachel@cs.washington. edu ‡UCLA, sahai@cs.ucla. edu