Miracle-dz/UniFAR-FTUs huggingface dataset:
A gene-set approach to analyze copy number alterations in breast cancer

Copy number alterations (CNAs) have been widely reported as an oncogenic or tumor suppressive feature in cancers. Since CNAs simultaneously affect a large number of genes, previous single gene-based methods are limited in revealing the landscape of CNAs. A systematic method to explore the influence of CNAs on cancer progression is needed. In the present study, a total of 1,045 genome-wide array comparative genomic hybridization (aCGH) data sets and 529 gene expression profiles of breast tumors were collected from The Cancer Genome Atlas (TCGA). We devised an algorithm (called Gene Set analysis for Copy number Alteration, or GSCA) to identify functional gene sets exhibiting significant enrichment in CNAs based on Fisher’s exact test. Gene expression profiles of the enriched gene sets were analyzed to evaluate the influence of CNAs on gene expression changes. We also integrated survival analysis to pinpoint prognostic CNA-affected gene sets. Thirty-five and ten gene sets were identified with significant enrichment in copy number gains and losses, respectively. Forty-four out of the 45 (98%) gene sets showed concordant significant gene expression changes with the CNAs. In addition, survival analysis discovered 31 gene sets in which copy number enrichment was associated with patient survival, including several important transcriptional factor target gene sets, such as MYC. The results indicate that CNAs play essential roles in breast tumor progression and lead to differential clinical outcomes. In conclusion, here we devised a novel method for analyzing and interpreting CNA data at the level of functional gene sets. We demonstrated its capability of identifying CNA-affected, as well as CNA-driven, biological functions and pathways in breast cancer. The analysis workflow can be widely applied to other cancers and provides biological insights into complex mechanisms governing tumor progression.
A STUDY OF EFFECTIVENESS AND SATISFACTION OF CLOUD CRM USERS IN TAIWAN ' S ENTERPRISES Research-in-Progress

Cloud computing in recent years has become a popular IT application. In Taiwan, enterprises currently using CRM (Customer Relationship Management) applications seek to take advantages of cloud computing features to enhance CRM effectiveness. However, despite international IT service providers’ investments in Taiwan’s market for establishing a cloud computing environment for CRM users, no statistics are available to reflect experience with actual use. Therefore, the purposes of this study are to understand the satisfaction levels of the current cloud CRM users (i.e., Taiwan’s enterprises) and to determine the key factors, which significantly affect enterprises’ managerial effectiveness and users’ satisfaction with cloud CRM. The basis for the research model is the Information System Success model and the characteristics of SaaS and CRM. This study has obtained contacts with Taiwan’s enterprises currently using cloud CRM, and the complete analyses of valid survey responses will occur shortly. Human Behavior in IT Adoption and Use 2 Thirty Third International Conference on Information Systems, Orlando 2012
4 D PRINTING OF POLY ( LACTIC ACID )-BASED SHAPE MEMORY POLYMERS AND SHAPE MEMORY NANOCOMPOSITES

Shape memory polymers (SMPs) and shape memory nanocomposites (SMNCs) are capable of recovering their original shapes from temporary shapes when they are triggered by heat, water, PH value, electrical and magnetic fields, etc [1, 2]. Such unique features enable SMPs and SMNCs extremely suitable for application as shape-changing structures in the areas varing from aerospace to biomedicine [3, 4]. However, conventional processing methods limit the design space of such smart structures [5]. It severely restricts the further developments of SMPs and SMNCs in advanced technologies, such as 4D printing, flexible electronics, and soft robotics, etc. 3D printing technique may be one of the best choices to overcome this challenge. This advanced processing approach can produce materials into custom-defined and complex geometries [6, 7]. By combination of 3D printing technique, some 4D structures based on SMPs have been developed. Their potential applications in flexible electronics and sequential self-folding structures have also been demonstrated [8-10]. However, the printing materials focus on pure SMPs. Meanwhile, the actuation methods of those 4D structures are mainly based on heat. It is not really useful in practical applications. SMNCs with iron oxide (Fe3O4) has much merit, since Fe3O4 could be used as inner heating source in the presence of alternating magnetic fields to achieve remote actuation [11, 12]. However, most of the commercially available 3D printers are designed to print specific or pure polymers. It is still hard to achieve the printing of SMNCs. Direct-write assembly is an open printing method that can be adjusted for processing various materials [13, 14]. In this study, we achieved 4D printing of both SMPs and SMNCs by combination of direct-write assembly with UV Light-emitting diodes (LED). The printing material was based on Poly(lactic acid) (PLA), because it was widely used in not only 3D printing area but also shape memory field. Benzophenone (BP) was chosen as cross-linking agent for excellent shape memory properties. Fe3O4 was used as functional nanofillers to trigger the remotely actuated shape-changing behavior. Dichloromethane (DCM) was utilized as solvent for its low boiling point. 2. RESULTS AND DISCUSSIONS
Influence of Crosslinking Agent - Chain Extender Ratio on the Properties of Hyperbranched Polyurethane Structures used as Dendritic Drug Carrier

st Feleacului Str. , 310396, Arad, Romania Polyurethanes (PU) are versatile chemical compounds with vastly differing biological and mechanical properties. The slight possibility of converting their properties allow them to be used in many applications, particularly for the biomedical and pharmaceutical fields. In this study, lysine diisocyanate ester (LDI), tris(hydroxymethyl)aminomethane (THAM), 1,4-butanediol (BD) and polyethylene glycol (PEG) were used to obtain hyperbranched PU structures. There were studied the size and stability of the PU structures and the thermal behavior of samples. In vitro assays on cells culture were used to observe the cytotoxic potential of obtained products. The sizes and stability of the obtained PU structures and the absence of any cytotoxic potential recommend their usage as drug delivery system.
Positive Sentiment Positive Emotion Negative Sentiment Negative Emotion Anxiety Anger Sadness Linguistic Style Articles Certainty Conjunctions Discrepancy Exclusive Inclusive Inhibition Negations Prepositions Quantifiers Tentative First Person Singular First Person Plural Second Person

Statistical methods applied to social media posts shed light on the dynamics of online dialogue. For example, users’ wording choices predict their persuasiveness [Tan et al., 2016; Danescu-NiculescuMizil et al., 2012a] and users adopt the language patterns of other dialogue participants [DanescuNiculescu-Mizil et al., 2011; 2012b]. In this paper, we estimate the causal effect of reply tones in debates on linguistic and sentiment changes in subsequent responses. The challenge for this estimation is that a reply’s tone and subsequent responses are confounded by the users’ ideologies on the debate topic and their emotions. To overcome this challenge, we learn representations of ideology using generative models of text. We study debates from 4FORUMS.COM and compare annotated tones of replying such as emotional versus factual, or reasonable versus attacking. We show that our latent confounder representation reduces bias in ATE estimation. Our results suggest that factual and asserting tones affect dialogue and provide a methodology for estimating causal effects from text.
Distributed Collaborative DDoS detection method based on traffic classification features

This paper classifies the DDoS attack prevention technology from the view of defense stage and defensive position. DDoS attacks have relatively low proportion of normal flow in the boundary network at the attack traffic, and the characteristics of the network are not very obviously. For these characteristics, design and implement collaborative detection of DDoS attacks method are proposed. Simulation results show that the distributed collaborative DDoS detection method has good timeliness, accuracy and scalability than the single-point detection and route-based distributed detection scheme. Keywords-Traffic classification;distributed collaborative; DDoS
Transcallosal Fibers from the Corticospinal Tract in Adults with Brain Injury

Background:Diffusion tensor image tractography (DTT) can visualize white matter tracts and provide us with a powerful vehicle for investigating the neuralpathway at the subcortical level. Using DTT, we attempted to demonstrate abnormal transcallosal fibers from the corticospinal tract in patients with brain injury. Materials and Methods:Four adults with brain injury (2 patients: stroke, 1 patient: brain tumor with hemorrhage, 1 patient: diffuse axonal injury) and 14 normal control subjects were enrolled in this study. DTT was performed using 1.5-T with a Synergy-L Sensitivity Encoding head coil. Three-dimensional reconstructions of the fiber tracts were obtained with FA<3.0, and an angle change >45o as termination criteria. Results:Transcallosal fibers were observed in two of 14 normal controls, and ascended to the cortex leaving the corpus callosum. All four patients showed transcallosal fibers which stemmed from the corticospinal tract of the unaffected hemisphere, and descended to or around the lesion at the subcortical area. Conclusion:It seems that transcallosal fibers which arise from the corticospinal tract of the unaffected hemisphere may act as pathological fibers for motor deficit compensation. 1)
What influences the middle atmosphere circulation in the IFS ?

The presence of large (∼ 20 K) middle atmosphere temperature biases motivates an investigation into the representation of the middle atmosphere circulation in the European Centre for Medium-Range Weather Forecasts (ECMWF) Integrated Forecast System (IFS). The focus of this report is on the Brewer-Dobson circulation (BDC) and the zonal-mean temperature and zonal wind structure, and their dependence on: 1) the gravity wave drag parameterizations; 2) the cubic octahedral (TCo) grid and the stochastic physics (SPPT) scheme; 3) the “sponge” in the upper part of the model, designed to prevent wave reflection; and 4) the inclusion of an approximate diurnal cycle of ozone and the reduction of solar UV output. Long free-running model runs are used to assess the performance and sensitivity of the modelled climate. Nudged runs, where the resolved wave fluxes entering the stratosphere are constrained by the observations, are used to assess the model’s performance and sensitivity for specific Northern Hemisphere (NH) and Southern Hemisphere (SH) winter conditions. All the results apply to the T255L137 resolution, where a substantial part of the inertia-gravity wave activity is unresolved. Overall, the parametrized non-orographic gravity wave drag (NOGWD) has the largest impact on the middle atmosphere circulation in all runs. The polar cap downwelling responds to perturbations in NOGWD flux, but there are complex interactions between NOGWD and resolved wave drag in both polar regions in the time-mean and during the seasonal cycle. NOGWD also affects the quasibiennial oscillation (QBO) and the mesospheric semi-annual oscillation (SAO): The QBO frequency and the QBO and the SAO westerly phase amplitude all increase in response to an increase in the NOGWD, and the SAO easterly phase amplitude decreases in response to a decrease in the NOGWD. The nudging framework allows us to isolate the impact of parametrized orographic gravity wave drag (OGWD) on the polar cap downwelling: NOGWD completely compensates for the removal of OGWD in the NH, but the compensation has an impact on the resolved wave drag. The TCo grid coupled with the SPPT scheme increases the strength of the lower-stratospheric upwelling and the frequency and westerly phase amplitude of the QBO compared to the control run at the same spectral truncation with linear grid and without SPPT. In the mesosphere, removing the sponge increases the westerly phase of the SAO by 15 times as the resolved waves are allowed to freely propagate into the mesosphere. However, the sponge has no impact on the QBO and little impact on the BDC. The inclusion of the diurnal cycle of ozone and the reduction in solar UV have little impact on the stratospheric circulation despite greatly improving the global warm mesospheric temperature bias.
Market imperfections, liquidity and labor allocation: the case of rural South Africa

Assets endowment and market imperfections shape the organization of agricultural production and lead to dierent production regimes within rural farm households in South Africa. This paper uses a farm household model to explain the presence of three main households groups determined on the basis of the labor regime adopted: small peasants (working both on and o farm), self cultivators (autarkic in labor) and hiring in households. A partial generalized ordered logit model is used to test the main predictions of the model and a Brant test on coecient constancy is performed to identify the house
L 2 Anxiety , Self-Regulatory Strategies , Self-Efficacy , Intended Effort and Academic Achievement : A Structural Equation Modeling Approach

Factors that contribute to learning achievement have always been a primary research concern in the field of education. In the field of second/foreign language (L2) learning, researchers have been trying to explore many important factors that are linked to successful learning and how these factors may predict the success of language learning. With respect to the factors contributing to language proficiency, many researchers endeavor themselves to the exploration of assisting the learners. The present study aims to explore whether or not the following factors would influence learners’ academic achievement: the process of goal-setting, the L2 anxiety, the effort the learners put into, self-efficacy together with self-regulatory strategies. A total number of 356 senior high school students who were learning English as a Foreign Language participated in the study. A new questionnaire was developed to measure and collect the participants’ responses in respect to the above-mentioned learning factors. In order to investigate the relationships among these factors and the learners’ academic performance, the structural equation modeling (SEM) was used to identify the best fit model. It was found that self-efficacy, L2 anxiety, together with goal-setting processes, are prerequisites for the application of effective self-regulatory strategies, which in turn play an important role in affecting the intended efforts the learners make, and consequently influence the learners’ achievement. According to the findings, we suggest the teacher elevate the students’ self-efficacy, lower the L2 anxiety, help set their learning goals, cultivate their capability of employing strategies and increase their intended effort.
Striking a different balance: Work‐family conflict for female and male managers in a Scandinavian context

Purpose – The purpose of this paper is to explore how male and female managers may regulate their workload differently in response to conflicting job‐home pressures. The main hypothesis is that female managers seek to reduce anticipated discord by investing less time in their work role. The paper investigates this postulated link between managers' gender and work‐family conflict via their workload, based on a conceptual model and within a Scandinavian context. The central argument is evaluated against a competing explanation of structural constraints, implying that female managers in stead of choosing reduced workloads are required to work less.Design/methodology/approach – The paper is based on a large survey of Norwegian managers. The applied sample size is 2,195, with 1,740 men and 455 women. In addition to indicators of time‐based work‐family conflict the questionnaire contains detailed information on managers' individual background and positional characteristics. To trace direct and indirect influenc.
MOLECULAR STICK-SLIP MOTION REVEALED BY OPENING DNA WITH PICONEWTON FORCES

We have pulled apart the two strands of a DNA double helix. The forces measured during this process show a sequence specific variation on the piconewton scale. Opening two helical molecules with the same sequence from opposite sides gives two signatures which are not simply related by symmetry. In a theoretical model, this is explained as a molecular stick-slip motion which does not involve instabilities and is determined by the sequence.
Tree Diameter Distribution of Stands and Each Species in Largescale Cool-temperate Forest of Kyushu, Southern Japan

To elucidate size structure of cool-temperat e forests of l-10 ha order in Kyushu, southern Japan, DBH distribution was examined on semi-logarith mic scale, with reference to spatial scale, stratification and species composition. DBH distribution for lOha-order forest (32.1’7 ha) showed a rotated sigmoid shape with a point of inflection at mid-DBH class and was composed of rotated sigmoid, concave and straight-shape distributions for older stands of lha-order. DBH distribution for stratification layer in 1 ha-order stands showed straight at understory and decreasing shape at mid- and overstory. And also, the size variation increased and the skewness decreased with upper stratification layer. In terms of tall tree species within 10 ha-order forest, t,he degree to which the DBH distribution show decreasing to rotated sigmoid shape was roughly related to the shade tolerance characteristics of each species. On the other hand, the shape of DBH distribution for low and small-tall tree species was thought to reflect not only the shade tolerance but also the sprouting characteristics.
1 0 M ay 2 01 7 Dynamical analysis of quantum linear systems driven by multi-channel multiphoton states ⋆

In this paper, we investigate the dynamics of quantum linear systems where the input signals are multi-channel multi-photon states, namely states determined by a definite number of photons superposed in multiple input channels. In contrast to most existing studies on separable input states in the literature, we allow the existence of quantum correlation (for example quantum entanglement) in these multi-channel multi-photon input states. Due to the prevalence of quantum correlations in the quantum regime, the results presented in this paper are very general. Moreover, the multi-channel multi-photon states studied here are reasonably mathematically tractable. Three types of multi-photon states are considered: 1) m photons superposed among m channels, 2) N photons superposed among m channels where N ≥ m, and 3) N photons superposed among m channels where N is an arbitrary positive integer. Formulae for intensities and states of output fields are derived. Examples are used to demonstrate the effectiveness of the results.
Semi-automated Robust Quantification of Lesions (SRQL) Toolbox

Quantifying lesions in a reliable manner is fundamental for studying the effects of neuroanatomical changes related to recovery in the post-stroke brain. However, the wide variability in lesion characteristics across individuals makes manual lesion segmentation a challenging and often subjective process. This often makes it difficult to combine stroke lesion data across multiple research sites, due to subjective differences in how lesions may be defined. Thus, we developed the Semi-automated Robust Quantification of Lesions (SRQL; https://github.com/npnl/SRQL; DOI: 10.5281/zenodo.557114) Toolbox that performs several analysis steps: 1) a white matter intensity correction that removes healthy white matter voxels from the lesion mask, thereby making lesions slightly more robust to subjective errors; 2) an automated report of descriptive statistics on lesions for simplified comparison between or across groups, and 3) an option to perform analyses in both native and standard space to facilitate analyses in either space. Here, we describe the methods implemented in the toolbox.
ELASTIC PROPERTIES OF MULTI-COMPONENT NICKEL SOLID SOLUTIONS

The effects of alloying additions on elastic properties of multicomponent Ni solid solutions have been systematically investigated using ab initio density functional theory calculations within the generalized gradient approximation (GGA). An elastic property map involving 60 purposely-chosen compositions including binary, ternary, quaternary and high-order (up to 6) Ni solid solutions has been created. Analyses of the map revealed that alloying additions could enhance elastic moduli up to the quaternary system, beyond which further alloying would slightly weaken elastic moduli. The enhancement of elastic moduli by alloying additions is more evident for lower order systems than for higher order systems. Based on the calculated elastic moduli, the ductile/brittle behavior of the materials has been briefly assessed. The current research has, for the first time, generated a calculated elastic modulus database for Ni solid solutions that could be used for future design of new superalloys.
Interferometric imaging of the underside of a subducting crust

SUMMARY Seismic interferometry provides tools for redatuming physical data to a new source location. Turning a source, located close to a structure of interest, into a virtual receiver has the potential benefit of improving the quality of imaging by increasing the effective aperture and mitigatingtheeffectofvelocityuncertaintyintheoverburden.Here,weconsidertheproblemof estimatingtheGreen’sfunctionbetweentwoearthquakeslocatedinsideasubductingslabusing earthquake data recorded at the surface. Our primary focus is to obtain an accurate time-image of the subducting interface. We propose a novel two-step kinematically correct redatuming procedure that first redatums the data from earthquakes below the subducting interface to the surface via classical interferometry, and then utilizes source–receiver wavefield interferometry to redatum virtual surface seismic data to the location of a particular earthquake event.
CMOS LOW NOISE AMPLIFIER DESIGN FOR MICROWAVE AND MMWAVE APPLICATIONS (INVITED REVIEW)

This paper reviews recent advances in the design of low noise amplifier (LNA) in complementary metal oxide semiconductor (CMOS) technology for radio transceivers at microwave and millimeter wave (mmWave) frequencies. First, the evolution of wireless communication systems and CMOS technology are briefly revisited to highlight the requirements of an LNA design. Then, key performance parameters and device circuit models are described. Next, we discuss typical LNA topologies, followed by those important design techniques, algorithms and concepts developed specifically for CMOS LNAs. Moreover, reported CMOS LNA designs are summarized, and future design issues are identified. Finally, we conclude the paper and briefly outline our future work on CMOS LNA designs.
Immigration and Distribution of Wages in Austria

Using detailed micro data on earnings and employment, I analyze the effects of immigration on the wage distribution of native male workers in Austria. I find that immigration has heterogeneous effects on wages, differing by type of work as well as the wage level. While there are small , but insignificant, negative effects for blue collar workers at the lower end of the wage distribution there are positive effects on wages at higher percentiles. For white collar workers positive effects occur at most percentiles. The estimated effects of immigration are relatively small in size and not significant for most workers. Overall it seems that most of potentially adverse effects of immigration on natives' wages are offset by complementarities stemming from immigration of workers with different skill levels.