Miracle-dz/UniFAR-FTUs huggingface dataset:
SGAM-based methodology to analyze Smart Grid solutions

The design of future energy automation and management systems requires Distribution System Operators (DSOs) to analyze and compare different technical solutions for determining which of these could be best implemented in their networks. This paper presents a methodology that helps DSOs carry out such a complex task. The methodology is based on the Smart Grid Architecture Model (SGAM) framework. It was implemented using a web-based application that facilitates editing and automatic analysis of SGAM architectures. The methodology was successfully evaluated in context of a large European project.
Genetic Type-2 Fuzzy Regression Method based on Transductive Reasoning

This paper presents a type-2 genetic fuzzy inference system based on fuzzy c-regression method clustering algorithm, to identify uncertainties in hyperplane shaped fuzzy clusters. The uncertainty in learning parameters of the new system is identified by type-2 fuzzy sets. Genetic algorithm is used to optimize the secondary membership grades of the type-2 fuzzy sets. Transductive reasoning, instead of inductive reasoning, is used to develop a local model for every new vector, based on some closest vectors from the given database. This study is novel because it presents a new methodology to identify type-2 fuzzy sets. The results of comparative experiments on financial forecasting problem domain are encouraging.
BIOLOGICAL ACTIVITY OF SOME NATIVE BACILLUS THURINGIENSIS BERLINER STRAINS AGAINST EUTETRANYCHUS ORIENTALIS KLEIN (ACARI: TETRANYCHIDAE)

Ten Bacillus thuringiensis strains (Bt) isolated from Moroccan habitats were screened for their acaricidal proprieties against the Citrus brown mite, Eutetranychus orientalis Klein (Acarina: Tetranychidae) under laboratory conditions. Results of bioassay indicated that larvae are more susceptible to the tested Bt strains than adult females at different concentrations (0.5, 1, 2, 4 and 8 mg/ml). Among the Bt strains examined, Bt 26.4 (LC50 = 1.533 mg/ml) and Bt 13.4 (LC50 = 1.385 mg/ml) showed respectively the highest mortalities to adults and larvae when compared with others and with the commercial product of Bt. Concerning fecundity, the effect of all tested strains showed highly significant reduction within adult females, whereas no significant effect was observed in eggs hatching for all strains.
Occlusion of Virtual Objects for Augmented Reality Systems using Kinect

—This work presents a novel approach to creating realistic occlusions of virtual and real objects placed inside a real environment in an augmented reality system. In this work we use the Kinect depth sensor together with AVRLIB library in order to position and occlude virtual objects into the scene. This framework creates a realistic and robust system capable of rendering and effectively occluding a virtual object inside a real environment in real time, without the need of any preprocessing.
12-25-2018 Targeted Therapies for Advanced Non-Small Cell Lung Cancer

Lung cancer is a serious health problem and the leading cause of cancer death worldwide, due to its high incidence and mortality. 85% of lung cancers are represented by the non-small cell lung cancer (NSCLC). Traditional chemotherapy has been the main treatment option in NSCLC. However, it is often associated with limited efficacy and overall poor patient survival. In recent years, molecular targeting has achieved great progress in therapeutic treatment of cancer and plays a crucial role in the current clinical treatment of NSCLC, due to enhanced efficacy on cancer tissues and reduced toxicity for normal tissues. In this review, we summarize the current targeting treatment of NSCLC, including inhibition of the epidermal growth factor receptor (EGFR), phosphatidylinositol 3-kinase (PI3Ks), mechanistic target of rapamycin (mTOR), epidermal growth factor receptor 2 (ErbB2), vascular epidermal growth factor receptor (VEGFR), kirsten human rat sarcoma protein (KRAS), mesenchymalepithelial transition factor or hepatocyte growth factor receptor (c-MET), anaplastic lymphoma kinase (ALK), v-Raf murine sarcoma viral oncogene homolog B (BRAF). This article may serve as a guide to clinicians and researchers alike by assisting in making therapeutic decisions. Challenges of acquired drug resistance targeted therapy and imminent newer treatment modalities against NSCLC are also discussed. www.oncotarget. com Oncotarget, 2018, Vol. 9, (No. 101), pp: 37589-37607 PFS (Progression-free Survival): the length of time during and after the treatment of a disease, such as cancer, that a patient lives with the disease but it does not get worse OS (Overall Survival): the time from randomization to the date of death or the date of termination of the trial (for patients alive at the time end of the study), or the date of the last follow-up information available (for patients loss before the trial end date) ORR (Objective Response Rate): the number of complete plus partial response divided by the total of patients enrolled in each comparison arm. Review
INVESTIGATION OF MICROSTRUCTURE AND MECHANICAL PROPERTIES OF HYBRID BONE CEMENTS

This study investigates the influence of incorporating bioactive ceramic particles on the mechanical performance of acrylic bone cement. The formulated composites contain certain weight fractions of hydroxyapatite (3,8,16) wt%, magnesia (2,3.5,5) wt% and a fixed amount of titania (2 wt% ). Vacuum mixing technique was adopted in order to reduce porosity and stress concentration. The microstructure of fabricated composites was characterized through Scanning Electron Microscopy (SEM) and the mechanical properties were evaluated through tensile and michrohardness tests. Results showed deterioration in tensile strength with increasing amount of fillers which is attributable to the agglomeration of reinforcement phase which represented weak points in the matrix for crack initiation and propagation. Moreover, the strength results are consistent with the SEM images that showed significantly increased agglomerates with increasing amount of fillers. Results showed an enhancement in modulus of elasticity with the incorporation of strong fillers. However, the results of microhardness test did not reveal significant changes, where hardness can be affected by content of residual monomer, porosity and other material properties in addition to composition.
Modeling Source / Drain Contact Resistance in Nanoscale MOSFETs

The influence of S/D contact resistance (Rcsd) on MOSFETs performance becomes increasingly significant with aggressive scaling. However, the highly non-uniform doping and the presence of non-silicon element(s), such as Si1-xGex for pMOSFET, render the existing TCAD model inadequate for the purpose of design and optimization of the S/D contact regions. In this study, compact Rcsd models for both nand p-MOSFETs are developed to capture the doping and germanium mole fraction dependence. Both models are validated with experimental results, while the n-MOSFET model is also successfully used in full flow simulations with excellent agreements to silicon experimental data, correctly reflecting the S/D doping dependence of ONcurrent (Idsat) and threshold voltage (Vtsat). Keywords-S/D contact resistance, nanoscale MOSFET, Si1-xGex S/D, doping-dependent, and germanium mole fraction dependent
Approximating Policies for Hearthstone via Reinforcement Learning

Markov Decision Processes (MDPs) are a popular model to research decision-making problems in environments where the outcome of an action may be affected by random. The core problem of a MDP is to find a strategy for the decision maker to optimize his reward while interacting with an environment. Common solution approaches to MDPs are provided by Reinforcement Learning algorithms which adapt the decision maker’s strategy based on exploration of unknown interactions and exploitation of gained knowledge. Games provide a challenging and popular field of research for such problems because they limit the environment to a model with well defined rules. Monte Carlo tree search algorithms are commonly used in games to make decisions based on random samples of future moves. They perform well in situations where random simulations are easy to execute but the calculation of the exact value of a game state is too complex. In this thesis, we compare the performance of an existing Monte Carlo tree search agent on the game Hearthstone: Heroes of Warcraft against a new agent which bases on an approximated state value function. We implement a policy iteration framework with a value approximation architecture for Hearthstone using reinforcement learning to receive this function. We find that an approximating policy is capable to compete with a Monte Carlo tree search approach to a certain degree, even without any lookahead or tree search involved. However, the play strength of such a policy depends highly on the distribution of training data and the selected feature set for the approximating architecture.
A Spatial-Temporal Three-Dimensional Human Pose Reconstruction Framework

Three-dimensional (3D) human pose reconstruction from single-view image is a difficult and challenging topic. Existing approaches mostly process frame-by-frame independently while inter-frames are highly correlated in a sequence. In contrast, we introduce a novel spatial-temporal 3D human pose reconstruction framework that leverages both intra and inter-frame relationships in consecutive 2D pose sequences. Orthogonal matching pursuit (OMP) algorithm, pre-trained pose-angle limits and temporal models have been implemented. Several quantitative comparisons between our proposed framework and recent works have been studied on CMU motion capture dataset and Vietnamese traditional dance sequences. Our framework outperforms others by 10% lower of Euclidean reconstruction error and more robust against Gaussian noise. Additionally, it is also important to mention that our reconstructed 3D pose sequences are more natural and smoother than others.
TITLE On the Use of Sibiling Data to Estimate the Effects of Family Background , Cognitive Skills , and Schooling : Results from the Kalamazoo Brothers Study

Sibling data dr4wn from the Kalamazoo Brothers sample are used to assess the adequacy of conventional sociological variables for measurtng family backgraind, to estimate the overall effects of family backgeound. , on test scores, education, occupational status, and earnings, and to control family.background when estimating the effects of test scores and education. Traditional socioeconomic variables are Impert measUres of back, ) ground. --The-correlations between brothers' test scores, educational attainments, occupational statuses, and earningsmnre substantially higher than would be predicted on the basis of measured socioeconomic,background alone. Nevertheless,,the differences between brothers on measures of'economic' success areilarge relativt to differences among menin general. Differences in family/background explain less than one quater of the variance in , earningS. /Biases in the effects of education on occupational status and earAings due/to background are not fully.eliminatedby. controlling only meavured' beckground variables. Controlling both sibling test s&ore difference6 and cOmmon family background suggests a 30 percent bias iltheeducationoccupation coefficient and a.54 percent bias in the education-in earninp.s coefficient. Controlling common family bdoes not, however, substantially reduce the effect'orteSt scor ln earnings.
Beta-delayed neutron decay of 19 N and 20 N

The results of the first spectroscopic studies of delayed neutron and gamma emission following the beta decay of N and N are reported. Nuclides were produced by fragmenting a 80 MeV/A Ne beam in a 546 mg/cm thick Be target and separated at high velocities with the A1200 fragment separator. The nuclides were implanted in a thin plastic scintillator at the center of an array of neutron scintillators to determine the neutron time-of-flight spectrum. Two Hyper-pure-Ge detectors were used to observe coincident gamma events. The β−γ, β−n and β−n−γ coincidence spectra were analyzed to obtain the energies of the states populated in O, O and O following the beta decay. Eight new neutron energies with the total neutron emission probability of 41.8(9)%, six gamma transitions among the excited states of O, and four gamma transitions among the excited states of O were identified in the N beta decay. Seven new neutron energies with the total neutron emission probability of 42.9(14)%, ten gamma transitions among the excited states of O, and two gamma transitions among the exited states of O were observed from the N beta decay. The half-lives of 336(3) ms and 136(3) ms were determined for N and N decays, respectively. The branching ratios of both decays were deduced and compared with USD shell model calculations. The beta decay schemes for N and N were deduced.
In the eye of the beholder Case report of a medication error

Introduction:TheWorld Health Organisation recognizes confusing drug names as one of the most common causes of medication errors. Other factors include spelling, phonetic, or packaging similarities. Case presentation: We presented a case report of an inadvertent administration of a non-ocular pharmaceutical product (Novasone ® lotion) into the eye of an octogenarian individual, and briefly reviewed the relevant literature. Discussion: We discussed prevention strategies to avoid similar ophthalmic medication errors.
Modular Cascaded H-Bridge Multilevel PV Inverter with Fuzzy Logic Controller

This paper introduces a particular cascaded Hbridge multilevel photovoltaic (PV) inverter for single-or three-phase grid-connected applications. The measured cascaded multilevel topology enhances the proficiency and adaptability of PV systems. To acknowledge better use of PV modules and maximize the solar energy extraction, a dispersed maximum power point following control plan is connected to both single-and three-phase multilevel inverters, which permits independent control of each dc-link voltage. For three-phase grid-connected applications, PV losses may introduce unbalanced supplied power, driving to unequal grid current.
Trabajo Final de Máster Automation of WhiteBox Cryptography attacks in Android applications

Cryptography is increasingly deployed in applications that are executed on open devices (such as PCs, tablets or smartphones). The open nature of these systems makes the software extremely vulnerable to attacks, since the attacker has complete control over the execution platform and the software implementation itself. This means that an attacker can easily analyze the binary code of the application, and the corresponding memory pages during execution. Therefore, White-Box Cryptography (WBC) is an essential technology in any software protection strategy. In practice, WBC is a cryptographic algorithm, usually simmetric, that embeds the key in it and obfuscates the process to make it more difficult to reverse. This technology allows to perform cryptographic operations without revealing any portion of confidential information such as the cryptographic key. Without this, attackers could easily grab secret keys from the binary implementation, from memory, or intercept information that would lead to disclosure at execution time. Parallely, new attack paths appeared with this technology, attacks that in the past were used to attack cryptography implemented in hardware, such as Differential Power Analysis (DPA) or Differential Fault Analysis (DFA) found their equivalents in software. This equivalent attacks are based on the analysis of the memory accesses or the values stored in the registers at every cycle of the processor. In order to retrieve these traces, dynamic binary instrumentation and emulation of the binaries are the best approaches. However, in order to protect WBC implemented in software, usually other security countermeasures are applied such as code obfuscation, which can make unfeasible the task to find the functions that are executing the encryption/decryption tasks, making unfeasible to trace them to retrieve valid traces for a successful attack. This project has two main objectives. The first one is to facilitate the search of the WBC functions in obfuscated binaries, making it easier for the security analysts that want to test the strength of the different WBC implementations in real products. Researching and going deep into the different techniques that could be used to identify the fingerprint that this type of cryptography may leave in a binary which is using it, its identification might become in a semiautomatic task. The second objective of the project is to implement an ARM processor emulator with capabilities to collect the necessary traces for the attacks mentioned above, generating also the necessary faults in the execution when needed.
Some reflections on mashing – Part 1

Authors: Dr. Bertram Sacher and Prof. Dr. Thomas Becker, Chair of Brewing and Beverage Technology, TUM; em. Prof. Dr. Ludwig Narziß, TUM; Freising, Germany HIGHLY FLEXIBLE | Despite the fact that malt quality can undergo fluctuations from year to year, brewers are very reluctant to change their mash schedules for fear of the inscrutable consequences this might have on the quality of their beer. But this is precisely what the process of mashing is all about. Mashing is a highly flexible instrument which affords a brewer the capacity to effectively overcome the challenges of contending with difficult malt. Thus, it offers a brewer the means to effectively compensate for the shortcomings of a particular year’s crop and, in turn, helps to ensure a consistently high quality product even if the quality of the raw materials does not always remain the same. The mashing process also provides a brewer with a great deal of creative control, which can be harnessed in the development of novel and unique beers – a boon for brewers looking to alleviate monotony in their products. Through a clever combination of rests, the performance of the enzymes derived from the malt can be made to rival any supplemental technical enzymes, and the malt’s own enzymes are, of course, fully in compliance with the German Purity Law for Beer.
BACTERIAL LEAF BLIGHT RESISTANCE DIAGNOSTICS BY SEQUENCE – TAGGED SITE MARKERS IN RICE ( Oryza sativa L . )

Bacterial leaf blight caused by the bacterial pathogen Xanthomonas oryzae pv oryzae (Xoo) limits rice yield in all major rice-growing regions of the world, especially in irrigated lowland and rainfed conditions where predisposition factors favor disease development to epidemic proportions. Since bacterial pathogens are difficult to manage, development of host plant resistance is the most effective mean to control disease. One major gene (xa-13) conferring resistance to various races of the pathogen has been identified and utilized in rice breeding programs. Key work: STS marker, Xanthomonas oryzae pv oryzae
SYNTHESIS AND PRELIMINARY EVALUATION OF 4 , 4 ’-DIHYDROXY-3 , 3 ’-DIMETHOXYDIBENZYLIDENEACETONE AS SUNSCREEN AND ANTIOXIDANT ACTIVE

Synthesis and preliminary evaluation of 4,4’-dihydroxy-3,3’-dimethoxydibenzylideneacetone (DDB) as sunscreen and antioxidant have been successfully conducted. The compound was prepared through an acid catalyzed condensation reaction between vanillin and acetone using saturated HCl solution in glacial acetic acid. Pre-evaluation of sunscreen active compound candidate was performed by determining electronic absorbance profile,  max,  ,  c, UVA/UVB ratio, and photostability while antioxidant activity test was performed using DPPH radical scavenger method. Based on the results, the compound obtained has very good protective effect in UVA region with high antioxidant activity.
The Reserve Bank ' s Securitisation Dataset

The Reserve Bank's Securitisation Dataset contains timely and detailed data on each and every one of the mortgages underlying Australian residential mortgage-backed securities (RMBS). This dataset allows the Bank to better analyse the structure of, and monitor developments in, the mortgage market. In order to examine how representative the dataset is of the wider mortgage market we compare the dataset to less frequent but more comprehensive data from the Australian Prudential Regulation Authority (APRA). We find that the Securitisation Dataset provides excellent coverage of the collateral underpinning the RMBS market, and is representative of the wider Australian mortgage market across a number of dimensions. We then use these data to explore trends in mortgage interest rates. R E S E R V E B A N K O F AU S T R A L I A B U L L E T I N – D E C E M B E R 2 0 1 8
Reducing Emotional Problems in Swedish Women with Nonmetastatic Breast Cancer Receiving Radiation Therapy ?

OBJECTIVE: The objective of this selective EBM review is to determine “Are five sessions of individual based art therapy effective in reducing emotional problems in Swedish women with nonmetastatic breast cancer receiving radiation therapy? ” STUDY DESIGN: This review is based on three randomized control studies, two which were published in 2009 and one that was published in 2006. DATA SOURCES: All articles used were published in English, in peer-reviewed journals, and found using PubMed, Ebscohost, and Cochrane Review databases. OUTCOMES MEASURED: For all studies, factors pertaining to emotional problems were measured through self-assessment questionnaires. RESULTS: Svensk et al found improvement in overall quality of life as well as several subsets. Öster et. al found improvement in social coping resources. Thyme et. al showed improvement in general symptoms, depression, somatic symptoms, and anxiety. Each study also had measured outcomes that did not show improvement with the use of art therapy. CONCLUSIONS: All studies showed evidence to support improvement in emotional problems after art therapy. However, due to small sample sizes, similar cohorts, lack of replicated outcomes measured between studies, and other factor, additional studies are needed prior in order to determine clinical significance.
Earnings Management and Cross Listing : Evidence from a Natural Experiment in China

Our paper provides new evidence on earnings management of cross-listed firms by exploiting a natural experiment in China. Around 2000, regulators introduced stringent delisting requirements that firms with consecutive earnings losses for more than two years would be delisted from the mainland Chinese exchanges. No such delisting requirement was imposed in the Hong Kong exchange. We examine whether listed firms in Chinese market manage earnings to avoid delisting and whether mainland Chinese firms cross-listed in Hong Kong manage earnings the same way. Using a difference-in-difference methodology, we compare cross-listed and noncross-listed firms’ earnings management incentives before and after the policy change. We find that the new delisting threats induce rampant earnings management on mainland markets but cross listing in Hong Kong has a strong curbing effect on earnings management. The evidence suggests that bonding hypothesis of cross listing is at work in the Hong Kong exchange.
SOME EXTERNAL INFLUENTIAL FACTORS ON MASTERING DESCRIPTIVE GEOMETRY AT STUDENTS OF ARCHITECTURE

Visual understanding of relations between planimetric drawings of an object and its three-dimensional appearance is one of the most important task of Descriptive Geometry. We pose a question in what way does some external factors have effect on mastering the subject of Descriptive geometry. As external effects we examined a preparatory course in descriptive geometry and perspective held at the Faculty of Architecture, Civil Engineering and Geodesy in Banja Luka, previous knowledge of students gained in high school, mathematical and computer skills and skills of using 3D software. Data for the research were collected by conducting a survey on sample of 75 students that participated in Descriptive Geometry course during the past 4 years.