Miracle-dz/UniFAR-FTUs huggingface dataset:
Trade-off Analysis for Requirements Selection

Evaluation, prioritization and selection of candidate requirements are of tremendous importance and impact for subsequent software development. Eort, time as well as quality constraints have to be taken into account. Typically, dieren t stakeholders have conicting priorities and the requirements of all these stakeholders have to be balanced in an appropriate way to ensure maximum value of the nal set of requirements. Tradeo analysis is needed to proactively explore the impact of certain decisions in terms of all the criteria and constraints. The proposed method called Quantitative WinWin uses an evolutionary approach to provide support for requirements negotiations. The novelty of the presented idea is four-fold. Firstly, it iteratively uses the Analytical Hierarchy Process (AHP) for a stepwise analysis with the aim to balance the stakeholders’ preferences related to dieren t classes of requirements. Secondly, requirements selection is based on predicting and rebalancing its impact on eort, time and quality. Both prediction and rebalancing uses the simulation model prototype GENSIM. Thirdly, alternative solution sets oered for decision-making are developed incrementally based on thresholds for the degree of importance of requirements and heuristics to nd a best t to constraints. Finally, trade-o analysis is used to determine non-dominated extensions of the maximum value that is achievable under resource and quality constraints. As a main result, quantitative WinWin proposes a small number of possible sets of requirements from which the actual decision-maker can nally select the most appropriate solution.
NgR RNA interference, combined with zymosan intravitreal injection, enhances optic nerve regeneration

Mature retinal ganglion cells like other CNS neurons are unable to regenerate their axons after injury. Regenerative failure has been attributed, in part, to two factors: the existence of myelin‐derived inhibitors that bind to the Nogo receptor (NgR) and a deficiency of trophic support factors. We investigated the regrowth of injured axons both by inhibiting NgR by RNA interference and by recruiting exogenous trophic support by zymosan intravitreal injection. Our results showed that either approach can stimulate optic nerve axon regrowth but regenerated axons can grow longer and extend further when both methods are combined. We conclude that endogenous NgR inhibition and exogenous trophic support both play independent, important roles in enhancing optic nerve axon regrowth and that the regenerative effect can be augmented when the two are combined. This may provide a therapeutic strategy for promoting axon regeneration in the CNS as well.
Complex-Valued Independent Component Analysis for Online Blind Speech Extraction

This paper presents a theoretical analysis of a certain criterion for complex-valued independent component analysis (ICA) with a focus on blind speech extraction (BSE) of a spatio-temporally nonstationary speech source. In the paper, the proposed criteria denoted KSICA is related to the well-known FastICA method with the Kurtosis contrast function. The proposed method is shown to share the important fixed-point feature with the FastICA method, although an improvement with the proposed method is that it does not exhibit the divergent behavior for a of Gaussian-only sources that the FastICA method tends to do, and it shows better performance in online implementations. Compared to the FastICA, the KSICA method provides a 10 dB higher source extraction performance and a 10 dB lower standard deviation in a data batch approach when the data batch size is less than 100 samples. For larger batch sizes, the KSICA metod performs equally well. In an online application with spatially stationary sources the KSICA method provides around 10 dB higher interference suppression, and 1 MOS-unit lower speech distortion compared to the FastICA for 0.15 s time constant in the algorithm update parameter. Thus, the FastICA performance matches the KSICA performance for a time constant above 1 s. Finally, in an online application with a moving speech source, the KSICA method provides 10 dB higher interference suppression, compared to the FastICA for the same algorithm settings. All in all, the proposed KSICA method is shown to be a viable alternative for online BSE of complex-valued signal mixtures.
Voting with Your Children: A Positive Analysis of Child Labor Laws

We develop a positive theory of the adoption of child-labour regulation, based on two key mechanisms. First, parental decisions on family size interact with their preferences for child-labour regulation. Second, the supply of child labour affects skilled and unskilled wages. If policies are endogenous, multiple steady-states with different child-labour policies can exist. The model is consistent with international evidence on the incidence of child labour. In particular, it predicts a positive correlation between child labour, fertility and inequality across countries of similar income per capita. The model also predicts that the political support for regulation should increase if a rising skill premium induces parents to choose smaller families. A calibration of the model shows that it can replicate features of the history of the UK in the 19th Century, when regulations were introduced after a period of rising wage inequality, and coincided with rapidly declining fertility and rising educational levels.
Origin and Evolution of Water Oxidation before the Last Common Ancestor of the Cyanobacteria

Photosystem II, the water oxidizing enzyme, altered the course of evolution by filling the atmosphere with oxygen. Here, we reconstruct the origin and evolution of water oxidation at an unprecedented level of detail by studying the phylogeny of all D1 subunits, the main protein coordinating the water oxidizing cluster (Mn4CaO5) of Photosystem II. We show that D1 exists in several forms making well-defined clades, some of which could have evolved before the origin of water oxidation and presenting many atypical characteristics. The most ancient form is found in the genome of Gloeobacter kilaueensis JS-1 and this has a C-terminus with a higher sequence identity to D2 than to any other D1. Two other groups of early evolving D1 correspond to those expressed under prolonged far-red illumination and in darkness. These atypical D1 forms are characterized by a dramatically different Mn4CaO5 binding site and a Photosystem II containing such a site may assemble an unconventional metal cluster. The first D1 forms with a full set of ligands to the Mn4CaO5 cluster are grouped with D1 proteins expressed only under low oxygen concentrations and the latest evolving form is the dominant type of D1 found in all cyanobacteria and plastids. In addition, we show that the plastid ancestor had a D1 more similar to those in early branching Synechococcus. We suggest each one of these forms of D1 originated from transitional forms at different stages toward the innovation and optimization of water oxidation before the last common ancestor of all known cyanobacteria.
Automatic indexing of lecture presentations using unsupervised learning of presumed discourse markers

A new method for automatic detection of section boundaries and extraction of key sentences from lecture audio archives is proposed. The method makes use of 'discourse markers' (DMs), which are characteristic expressions used in initial utterances of sections, together with pause and language model information. The DMs are derived in a totally unsupervised manner based on word statistics. An experimental evaluation using the Corpus of Spontaneous Japanese (CSJ) demonstrates that the proposed method provides better indexing of section boundaries compared with a simple baseline method using pause information only, and that it is robust against speech recognition errors. The method is also applied to extraction of key sentences that can index the section topics. The statistics of the presumed DMs are used to define the importance of sentences, which favors potentially section-initial ones. The measure is also combined with the conventional tf-idf measure based on content words. Experimental results confirm the effectiveness of using the DMs in combination with the keyword-based method. The paper also describes a statistical framework for transforming raw speech transcriptions into the document style for defining appropriate sentence units and improving readability.
Potential for Introduction of Bat-Borne Zoonotic Viruses into the EU: A Review

Bat-borne viruses can pose a serious threat to human health, with examples including Nipah virus (NiV) in Bangladesh and Malaysia, and Marburg virus (MARV) in Africa. To date, significant human outbreaks of such viruses have not been reported in the European Union (EU). However, EU countries have strong historical links with many of the countries where NiV and MARV are present and a corresponding high volume of commercial trade and human travel, which poses a potential risk of introduction of these viruses into the EU. In assessing the risks of introduction of these bat-borne zoonotic viruses to the EU, it is important to consider the location and range of bat species known to be susceptible to infection, together with the virus prevalence, seasonality of viral pulses, duration of infection and titre of virus in different bat tissues. In this paper, we review the current scientific knowledge of all these factors, in relation to the introduction of NiV and MARV into the EU.
Development of Split-Window Algorithm for Land Surface Temperature Estimation From the VIRR/FY-3A Measurements

This letter addressed the development of split-window algorithm to estimate land surface temperature (LST) from the measurements acquired by the Visible and Infrared Radiometer on FengYun 3A using radiative transfer modeling experiment with the moderate spectral resolution atmospheric transmittance algorithm and computer model and the SeeBor V5.0 database. To improve the accuracy, the total precipitable water and the mean of land surface emissivities (LSEs) and LST were divided into several subranges. The split-window algorithm was applied to the Northeastern China area (115°E-135°E, 40°N-55°N), and then, the estimated LSTs were cross-validated with the Terra Moderate Resolution Imaging Spectroradiometer (MODIS/Terra) LST and Emissivity (LST/E) V5 products: MOD11C1 V5 and MOD11_L2 V5. The results show that the LSTs in this work are averagely consistent with the MODIS/Terra LST/E V5 products with accuracy better than 1.0 K: The errors are 0.5 ± 0.9 K and 0.0 ± 0.9 K for daytime and nighttime, respectively, when the retrieved LSTs were compared to the MOD11C1 V5 product, while the errors are 0.6 ± 0.9 K and 0.0 ± 0.9 K for daytime and nighttime, respectively, when the results were compared to the MOD11_L2 V5 product.
Elliptical slice sampling

Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Monte Carlo algorithm for performing inference in models with multivariate Gaussian priors. Its key properties are: 1) it has simple, generic code applicable to many models, 2) it has no free parameters, 3) it works well for a variety of Gaussian process based models. These properties make our method ideal for use while model building, removing the need to spend time deriving and tuning updates for more complex algorithms.
Synthesis of Environmentally Friendly Highly Dispersed Magnetite Nanoparticles Based on Rosin Cationic Surfactants as Thin Film Coatings of Steel

This work presents a new method to prepare monodisperse magnetite nanoparticles capping with new cationic surfactants based on rosin. Core/shell type magnetite nanoparticles were synthesized using bis-N-(3-levopimaric maleic acid adduct-2-hydroxy) propyl-triethyl ammonium chloride (LPMQA) as capping agent. Fourier transform infrared spectroscopy (FTIR) was employed to characterize the nanoparticles chemical structure. Transmittance electron microscopies (TEM) and X-ray powder diffraction (XRD) were used to examine the morphology of the modified magnetite nanoparticles. The magnetite dispersed aqueous acid solution was evaluated as an effective anticorrosion behavior of a hydrophobic surface on steel. The inhibition effect of magnetite nanoparticles on steel corrosion in 1 M HCl solution was investigated using potentiodynamic polarization curves and electrochemical impedance spectroscopy (EIS). Results obtained from both potentiodynamic polarisation and EIS measurements reveal that the magnetite nanoparticle is an effective inhibitor for the corrosion of steel in 1.0 M HCl solution. Polarization data show that magnetite nanoparticles behave as a mixed type inhibitor. The inhibition efficiencies obtained from potentiodynamic polarization and EIS methods are in good agreement.
MicroRNAs Distinguish Cytogenetic Subgroups in Pediatric AML and Contribute to Complex Regulatory Networks in AML-Relevant Pathways

Background The role of microRNAs (miRNAs), important post-transcriptional regulators, in the pathogenesis of acute myeloid leukemia (AML) is just emerging and has been mainly studied in adults. First studies in children investigate single selected miRNAs, however, a comprehensive overview of miRNA expression and function in children and young adults is missing so far. Methodology/Principal Findings We here globally identified differentially expressed miRNAs between AML subtypes in a survey of 102 children and adolescent. Pediatric samples with core-binding factor AML and promyelocytic leukemia could be distinguished from each other and from MLL-rearranged AML subtypes by differentially expressed miRNAs including miR-126, -146a, -181a/b, -100, and miR-125b. Subsequently, we established a newly devised immunoprecipitation assay followed by rapid microarray detection for the isolation of Argonaute proteins, the hallmark of miRNA targeting complexes, from cell line models resembling core-binding factor and promyelocytic leukemia. Applying this method, we were able to identify Ago-associated miRNAs and their targeted mRNAs. Conclusions/Significance miRNAs as well as their mRNA-targets showed binding preferences for the different Argonaute proteins in a cell context-dependent manner. Bioinformatically-derived pathway analysis suggested a concerted action of all four Argonaute complexes in the regulation of AML-relevant pathways. For the first time, to our knowledge, a complete AML data set resulting from carefully devised biochemical isolation experiments and analysis of Ago-associated miRNAs and their target-mRNAs is now available.
Optimal control of periodic motions of vibration-driven systems

Abstract An optimal control problem is solved for a rigid body that moves along a straight line on a rough horizontal plane due to the motion of two internal masses. One of the masses moves horizontally parallel to the line of motion of the system's main body and the other mass moves vertically. Such a mechanical system models a vibration-driven robot able to move in a resistive medium without special propelling devices (wheels, legs or caterpillars). A periodic motion of the internal masses is constructed to ensure a velocity-periodic motion of the main body with a maximum average velocity, provided that the period is fixed and the accelerations of the internal masses relative to the main body lie within prescribed limits. This statement does not constrain the amplitude of vibrations of the internal masses. Based on the solution of the problem, a suboptimal control that takes this constraint into account is constructed.
Research on 3-D DCT Operation Based on Transformation Basic Matrix

The 3-D DCT is different to be described by mathematical expression, and the transform is accomplished by computing 1-D DCT to each dimension of 3-D signal successively, which cannot embody the overall space character of 3-D transformation well. To overcome such drawbacks, a SDCT method was proposed in the paper. First, several 3-D matrix operation methods were defined, and the transformation basic matrix was build. Then, the operation principle of 3-D SDCT was described in detail. Finally, the 3-D SDCT operational performance was described. The theoretical analysis shows that the SDCT makes 3-D DCT succinct to express, easy to comprehend and convenient to operate.
Sexual dysfunction in outpatients with schizophrenia in Turkey: a cross-sectional study

Background Sexual dysfunction is one of several factors related to medication compliance in patients taking antipsychotic medication but the magnitude of this problem is unknown. Aim Compare the self-reported sexual functioning of clinically stable patients with schizophrenia taking antipsychotic medication to that of healthy controls using the Turkish version of the 5-item Arizona Sexual Experience Scale (ASEX). This scale, which has previously been validated in Turkey, assesses 5 components of sexual function: sex drive, sexual arousal, vaginal lubrication/penile erection, ability to achieve orgasm, and satisfaction with orgasm. Methods The Scale for the Assessment of Positive Symptoms, the Scale for Assessment of Negative Symptoms, and ASEX were administered to 101 clinically stable outpatients with schizophrenia (38 females and 63 males). The ASEX was also administered to 89 control subjects (41 females and 48 males) without a history of mental illness. Respondents were classified as having sexual dysfunction if ASEX total score (range 5-30) >18, if any ASEX item score (range 1-6) ≥ 5, or if 3 or more ASEX items ≥4. Results Male patients with schizophrenia have significantly more self-reported sexual dysfunction than healthy controls (46% vs. 8%). The prevalence of sexual dysfunction is higher in female patients than in male patients (68% vs. 46%), but it was also very high in healthy female controls (68%), so the sexual dysfunction of female patients cannot be attributed to their illness or to the medications they are taking. Within the patient group, there was no significant relationship between the severity of positive or negative symptoms and the severity of sexual dysfunction, and the severity of sexual function was not different between patients taking first-generation or second-generation antipsychotic medications. Conclusions The very different findings by gender in Turkey highlights the importance of assessing location-specific and gender-specific sexual norms when trying to assess the role of mental illness and medications on sexual functioning. Prospective studies are needed to distinguish the relative importance of cultural norms, the schizophrenic illness, and the use of antipsychotic medication in the etiology and course of sexual dysfunction among individuals with schizophrenia.
Gene expression profiling in breast cancer: towards individualising patient management

Summary Breast cancer is a complex and clinically heterogeneous disease. The increase in knowledge of breast cancer biology has led to a number of clinical advances in the treatment of breast cancer, most notably the implementation of widespread mammography screening and advances in adjuvant treatment of early‐stage disease. In the last 20 years, arrays of potential prognostic and/or predictive markers of breast cancer have been analysed. However, relatively few have proven to be clinically useful. To date, the only widely accepted markers for routine use in breast cancer are the oestrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor receptor, HER‐2 (c‐erbB2/neu). Expression microarray technology and laser capture microdissection have now been employed to further our understanding of the molecular pathogenesis of breast cancer. Recently reported advances in array technology and RNA amplification methods are having a considerable impact in this field, allowing the analysis of pre‐malignant and pre‐invasive lesions. A number of studies have identified prognostic and predictive gene ‘signatures’, whose prediction of disease outcome and response to treatment is superior to conventional prognostic indicators. Despite major technological advances, a number of confounding issues remain concerning the potential clinical utility of gene expression profiling, including differences in study design, patient selection, array technology, chemistry, and methods of analysis. It seems likely, however, that following careful ‘hypothesis driven’ validation studies and clinical trials, expression profiling will be applied in the future to identify patient‐specific disease profiles and provide rationale for individualised treatment. This review focuses on the current use and future potential of microarray profiling in breast cancer.
Melatonin reduces apoptotic cells, SOD2 and HSPB1 and improves the in vitro production and quality of bovine blastocysts

Effects of adding different concentrations of melatonin (10-7 , 10-9 and 10-11 M) to maturation (Experiment 1; Control, IVM + 10-7 , IVM + 10-9 , IVM + 10-11 ) and culture media (Experiment 2; Control, IVC + 10-7 , IVC + 10-9 , IVC + 10-11 ) were evaluated on in vitro bovine embryonic development. The optimal concentration of melatonin (10-9 M) from Experiments 1-2 was tested in both maturation and/or culture media of Experiment 3 (Control, IVM + 10-9 , IVC + 10-9 , IVM/IVC + 10-9 ). In Experiment 1, maturated oocytes from Control and IVM + 10-9 treatments showed increased glutathione content, mitochondrial membrane potential and percentage of Grade I blastocysts (40.6% and 43%, respectively). In Experiment 2, an increase in the percentage of Grade I blastocysts was detected in IVC + 10-7 (43.5%; 56.7%) and IVC + 10-9 (47.4%; 57.4%). Moreover, a lower number and percentage of apoptotic cells in blastocysts were observed in the IVC + 10-9 group compared to Control (3.8 ± 0.6; 3.6% versus 6.1 ± 0.6; 5.3%). In Experiment 3, the IVC + 10-9 treatment increased percentage of Grade I blastocysts with a lower number of apoptotic cells compared to IVM/IVC + 10-9 group (52.6%; 3.0 ± 0.5 versus 46.0%; 5.4 ± 1.0). The IVC + 10-9 treatment also had a higher mRNA expression of antioxidant gene (SOD2) compared to the Control, as well as the heat shock protein (HSPB1) compared to the IVM + 10-9 . Reactive oxygen species production was greater in the IVM/IVC + 10-9 treatment group. In conclusion, the 10-9 M concentration of melatonin and the in vitro production phase in which it is used directly affected embryonic development and quality.
The Beneš-Problem and Related Problems Revisited

We show how the Beneš-Problem, i. e. the problem of how to choose a nonanticapting control process u whose absolute value is bounded by 1 such that the second moment at time T of the controlled diffusion process X with drift process u is as small as possible, can be solved by analyzing a special entry-and-exit problem. A characterization of the optimal strategy of general entry-and-exit problems can be phrased in terms of a finite-dimensional nonlinear optimization problem. This nonlinear optimization problem can be solved explicitly for the case of switching controls of Brownian motion with a quadratic cost function of the state. The explicit solution is an essential ingredient of a new proof of the Beneš-Problem as well as related problems.