Miracle-dz/UniFAR-FTUs huggingface dataset:
CXC Chemokine Receptor 3 and CC Chemokine Receptor 4 Expression in T-Cell and NK-Cell Lymphomas with Special Reference to Clinicopathological Significance for Peripheral T-Cell Lymphoma, Unspecified

We recently reported expression of the chemokine receptors CXC chemokine receptor 3 (CXCR3) and CC chemokine receptor 4 (CCR4) in adult T-cell leukemia/lymphoma and showed a preferential expression of CCR4 and its association with an unfavorable outcome. In the present study, we extend our adult T-cell leukemia/lymphoma study to other subtypes of T- and NK-cell lymphoma, to clarify whether a characteristic chemokine receptor expression pattern is obtained for each of the subtypes defined by the WHO classification. CXCR3 and CCR4 were rarely expressed in three well-defined subtypes, precursor T-lymphoblastic lymphoma, anaplastic lymphoma kinase-positive anaplastic large cell lymphoma, and extranodal NK/T-cell lymphoma. A CXCR3-dominant expression pattern was observed in angioimmunoblastic T-cell lymphoma, while a CCR4-dominant expression pattern was observed in mycosis fungoides in transformation and in anaplastic lymphoma kinase-negative anaplastic large cell lymphoma. CXCR3 and CCR4 were heterogeneously expressed in peripheral T-cell lymphomas, unspecified (PTCLU). We next focused on PTCLU and analyzed the clinical significance of the chemokine receptors and their association with FoxP3, a hallmark of immunoregulatory T (Treg) cells. Multivariate analysis showed that CCR4 expression was an independent and significant unfavorable prognostic factor (P < 0.001). A significant correlation was found between mRNA expression of CCR4 and FoxP3, suggesting a possible association of CCR4-positive tumors with Treg cells and thereby with an immunocompromised state. Chemokine receptors may be useful not only for further characterization of the T- and NK-cell lymphomas but also in predicting clinical outcomes for patients. We suggest that a specific therapy targeting the CCR4 molecule may be developed as an alternative treatment for patients with CCR4-positive tumors.
The Cover Time of Deterministic Random Walks

The rotor router model is a popular deterministic analogue of a random walk on a graph. Instead of moving to a random neighbor, the neighbors are served in a fixed order. We examine how fast this "deterministic random walk" covers all vertices (or all edges). We present general techniques to derive upper bounds for the vertex and edge cover time and derive matching lower bounds for several important graph classes. Depending on the topology, the deterministic random walk can be asymptotically faster, slower or equally fast compared to the classical random walk.
Subspace clothing simulation using adaptive bases

We present a new approach to clothing simulation using low-dimensional linear subspaces with temporally adaptive bases. Our method exploits full-space simulation training data in order to construct a pool of low-dimensional bases distributed across pose space. For this purpose, we interpret the simulation data as offsets from a kinematic deformation model that captures the global shape of clothing due to body pose. During subspace simulation, we select low-dimensional sets of basis vectors according to the current pose of the character and the state of its clothing. Thanks to this adaptive basis selection scheme, our method is able to reproduce diverse and detailed folding patterns with only a few basis vectors. Our experiments demonstrate the feasibility of subspace clothing simulation and indicate its potential in terms of quality and computational efficiency.
A framework for effective shop floor control in wafer fabs

In order to gain a competitive position within industry, in semiconductor fabs enormous efforts have been spent in developing different kinds of operational control strategies relating to work-in-process (WIP) and due date. This paper presents a framework to deal with shop floor control problems regarding WIP balance and due date control. The framework comprises four key components that are (1) Global and local rules; (2) Target WIP estimation; (3) WIP imbalance monitor and detection; (4) WIP imbalance calibration. These four components clearly focus on their own specific tasks and support each other, in such a way that we can manage to: (1) Improve efficiency and productivity such as achieving low WIP and cycle time while keeping good on-time delivery; (2) Enhance intelligence of automated manufacturing such as reducing WIP variability and smoothing material flow via automated WIP imbalance monitor and correction.
Environmental and not maternal effects determine variation in offspring phenotypes in a passerine bird

Maternal and environmental effects can profoundly influence offspring phenotypes, independent of genetic effects. Within avian broods, both the asymmetric post‐hatching environment created by hatching asynchrony and the differential maternal investment through the laying sequence have important consequences for individual nestlings in terms of the allocation of resources to body structures with different contributions to fitness. The purpose of this study was to evaluate the relative importance of post‐hatching environmental and maternal effects in generating variation in offspring phenotypes. First, an observational study showed that within blue tit, Cyanistes caeruleus, broods, late‐hatched nestlings allocated resources to tarsus development, maintained mass gain and head‐bill growth and directed resources away from the development of fourth primary feathers. Second, a hatching order manipulation experiment resulted in nestlings from first‐laid eggs hatching last, thereby allowing comparison with both late and early‐hatched nestlings. Experimental nestlings had growth patterns which were closer to late‐hatched nestlings, suggesting that within‐brood growth patterns are determined by post‐hatching environmental effects. Therefore, we conclude that post‐hatching environmental effects play an important role in generating variation in offspring phenotypes.
A chloroplast DegP2 protease performs the primary cleavage of the photodamaged D1 protein in plant photosystem II

Although light is the ultimate substrate in photosynthesis, it can also be harmful and lead to oxidative damage of the photosynthetic apparatus. The main target for light stress is the central oxygen‐evolving photosystem II (PSII) and its D1 reaction centre protein. Degradation of the damaged D1 protein and its rapid replacement by a de novo synthesized copy represent the important repair mechanism of PSII crucial for plant survival under light stress conditions. Here we report the isolation of a single‐copy nuclear gene from Arabidopsis thaliana, encoding a protease that performs GTP‐dependent primary cleavage of the photodamaged D1 protein and hence catalysing the key step in the repair cycle in plants. This protease, designated DegP2, is a homologue of the prokaryotic Deg/Htr family of serine endopeptidases and is associated with the stromal side of the non‐appressed region of the thylakoid membranes. Increased expression of DegP2 under high salt, desiccation and light stress conditions was measured at the protein level.
Analysis of RRAM Reliability Soft-Errors on the Performance of RRAM-Based Neuromorphic Systems

Due to the limitation in speed and throughput of the traditional Von Neumann architecture, the interest in braininspired neuromorphic systems has been the focus of recent research activities. RRAM device has been extensively used as synapses in neuromorphic systems due to its many advantages including small size and compatibility with CMOS fabrication process. However, the RRAM device suffers from reliability soft-errors resulting from the stochastic nature of the oxygen vacancies of its conductive filaments. In this article, for the first time, using a combination of SPICE-based and BRIAN-based simulations, a novel framework is developed to model and assess the impact of RRAM reliability soft-errors on the performance of the neuromorphic systems. Simulation results show that the accuracy of a multi-perceptron RRAM-based neuromorphic system drops from 91.6% to 43% when the reliability softerrors are considered. To overcome this degradation in the system performance, a detailed analysis is conducted to modify the way the RRAM resistive state changes. In addition to this, a list of recommendations for the design of neuromorphic systems is also provided to overcome the RRAM reliability soft-errors.
Optimized Content Distribution in a Push-VoD Scenario

This paper discusses a novel approach for distributing a large number of multimedia (video) titles to users via a managed network infrastructure based on DSL technology. The approach, sometimes called push-VoD, is based on multicasting and the direct download of the content on user disks, followed by the local, but delayed playback of the video. We analyze in a first step the optimization problems related to the efficient packing of multicast trees on capacity constrained links. Then, we show that the model in which the user requests several alternative titles for download performs much better than the single title case. Finally, we consider the multiperiod scheduling performance and describe ways to reduce both the number of downloads of the same title and the delivery time of less frequent titles.
Design of Two Tier Security ATM System with Multimodal Biometrics By Means of Fuzzy Logic

Unimodal biometrics uses the single source of physiological/biological characteristics (e.g. face, fingerprint, online signature, DNA) for person authentication. So, if any issue persists in the person’s physiological/biological traits then the system leads to serious issue. To overcome this issue, we move into the Multimodal biometrics. Multimodal biometrics is the integration of two or more types of biometrics (e.g. Fingerprint and Face, Face and Iris, Iris and Fingerprint). In Multi biometrics the noise in any one of the biometrics will lead to high false reject rate (FRR) while identification. If any multi biometrics failure means, we can use another type of multi biometrics. To keep the biometric template as secure we use the soft computing technique i.e. Fuzzy Logic. The proposed work is to enhance the security in ATM system with multimodal biometrics along with email verification code which provides two level securities to the system. General Terms: Biometric Cryptosystem, Security, Biometrics, Template Protection
Enabling unimodular transformations

The development of a unimodular transformation theory and associated algorithms has renewed interest in FORTRAN DO loops that are not perfectly (or tightly) nested. We summarize a number of techniques that convert imperfectly nested loops into perfectly nested loops. We examined over 25,000 lines of scientific FORTRAN kernels and benchmarks. Statistics are reported on how often imperfect loops occur and how effective two transformations (scalar forward substitution and loop distribution) are at converting imperfectly nested loops into perfectly nested loops. Further, we describe a compiler that integrates scalar forward substitution, loop distribution, and unimodular transformations while maintaining the basic philosophy of unimodular transformation theory. While our data indicate that imperfectly nested loops still present a problem, the compiler we describe is no more limited by perfectly nested loops than other restructuring compilers available today. <<ETX>>
Automatic Rule Acquisition for Spelling Correction

This paper describes a new approach to automatically learning linguistic knowledge for spelling correction. A major feature of this approach is the fact that the acquired knowledge is captured in a small set of easily understood rules, as opposed to a large set of opaque features and weights. A perspicuous representation is advantageous in order to best exploit human intuition to understand and improve upon the acquired knowledge of the system.
Formalising Multi-layer Corpora in OWL DL - Lexicon Modelling, Querying and Consistency Control

We present a general approach to formally modelling corpora with multi-layered annotation, thereby inducing a lexicon model in a typed logical representation language, OWL DL. This model can be interpreted as a graph structure that offers flexible querying functionality beyond current XML-based query languages and powerful methods for consistency control. We illustrate our approach by applying it to the syntactically and semantically annotated SALSA/TIGER corpus.
Compressed channel feedback for correlated massive MIMO systems

Massive multiple-input multiple-output (MIMO) is a promising approach for cellular communication due to its energy efficiency and high achievable data rate. These advantages, however, can be realized only when channel state information (CSI) is available at the transmitter. Since there are many antennas, CSI is too large to feed back without compression. As a sparsifying basis, prior work has applied compressive sensing (CS) techniques with the two-dimensional discrete cosine transform (2D-DCT) and the instantaneous Karhunen-Loeve transform (KLT). 2D-DCT fails, however, to reflect the spatial correlation and channel conditions. Instantaneous KLT requires perfect CSI, which means it is not feasible in practice. In this paper, we propose a new sparsifying basis that reflects the long-term characteristics of the channel and a new reconstruction algorithm for CS. We also suggest that dimensionality reduction is more proper to compress, and compare performance with the conventional method. Numerical results confirm that the proposed channel feedback mechanisms show better performance in point-to-point (single user) and point-to-multi-point (multiuser) scenarios.
Bootstrapping a Stochastic Transducer for Arabic-English Transliteration Extraction

We propose a bootstrapping approach to training a memoriless stochastic transducer for the task of extracting transliterations from an English-Arabic bitext. The transducer learns its similarity metric from the data in the bitext, and thus can function directly on strings written in different writing scripts without any additional language knowledge. We show that this bootstrapped transducer performs as well or better than a model designed specifically to detect Arabic-English transliterations.
Stress, perceived support, resourcefulness and depressive symptoms in Taiwanese adolescents.

AIMS AND OBJECTIVE This study investigated (1) the prevalence of self-reported depressive symptoms among first-year students at an Institute of Technology in southern Taiwan; (2) whether perceived support and resourcefulness were associated with these adolescents' depressive symptoms and (3) the moderating and mediating effects of learned resourcefulness on the relationship between stressors and the adolescents' depressive symptoms. BACKGROUND An individual with adequate social support or resourcefulness may see stressors as less threatening or be more resilient in dealing with stressors compared with depressed individuals. The prevalence of depression in the global population increased rapidly during this past decade and consequently may have had a negative impact on population health outcomes. Among adolescents there has recently been an increased incidence of depression-related suicide reports. DESIGN A cross-sectional, correlational design. METHOD Adolescents (n = 913) were recruited to complete the following: the SDI in Chinese, the Inventory of Social Supportive Behaviours Scale - Modified and the Self-Control Schedule. Data analysis consisted of Pearson correlation and multiple regression analysis. Results. The prevalence of depression among participants was 13.4%. Participants who were younger, expressed lower satisfaction with their grades, perceived their health as worse, described peer relationship problems and exhibited smoking behaviour were more likely to have depressive symptoms. We observed five partially mediating effects of resourcefulness on stressors (age, perceived health, peer relationships, grades satisfaction and smoking behaviour) and depressive symptoms and one moderating effect of resourcefulness on the relationship between peer and depressive symptoms. CONCLUSIONS Learned resourcefulness may play a critical role in decreasing depressive symptoms. RELEVANCE TO CLINICAL PRACTICE These findings offer healthcare providers and educators information about the need for possible cognitive-behavioural interventions that could improve adolescents' relationships with their peers, enhance their satisfaction of grades and moderate or prevent depressive symptoms among this population. Moreover, it might decrease the prevalence of adolescent suicide.
The Hippocampal System Mediates Logical Reasoning about Familiar Spatial Environments

It has recently been shown that syllogistic reasoning engages two dissociable neural systems. Reasoning about familiar situations engages a frontal-temporal lobe system, whereas formally identical reasoning tasks involving unfamiliar situations recruit a frontal-parietal visuospatial network. These two systems may correspond to the heuristic and formal methods, respectively, postulated by cognitive theory. To determine if this dissociation generalizes to reasoning about transitive spatial relations, we studied 14 volunteers using event-related fMRI, as they reasoned about landmarks in familiar and unfamiliar environments. Our main finding is a task (reasoning and baseline) by spatial content (familiar and unfamiliar) interaction. Modulation of reasoning toward unfamiliar landmarks resulted in bilateral activation of superior and inferior parietal lobules (BA 7, 40), dorsal superior frontal cortex (BA 6), and right superior and middle frontal gyri (BA 8), regions widely implicated in visuospatial processing. By contrast, modulation of the reasoning task toward familiar landmarks, engaged the right inferior/orbital frontal gyrus (BA 11/47), bilateral occipital (BA 18, 19), and temporal lobes. The temporal lobe activation included the right inferior temporal gyrus (BA 37), posterior hippocampus, and parahippocampal gyrus, regions implicated in spatial memory and navigation tasks. These results provide support for the generalization of dual mechanism theory to transitive reasoning and highlight the importance of the hippocampal system in reasoning about familiar spatial environments.
Statistical Resolution Limits of DOA for Discrete Sources

This paper examines the stochastic Cramer-Rao bound (CRB) of direction of arrival (DOA) estimates for binary phase-shift keying (BPSK), minimum shift keying (MSK) and quaternary phase-shift keying (QPSK) modulated signals in the presence of unknown nonuniform Gaussian noise. After deriving closed-form expressions of the CRB, the statistical resolution limit, defined as the source separation that equals its own CRB is given. It is shown that this highest achievable resolution is proportional to the reciprocal of the fourth root of the product of the number of snapshots by an extended signal to noise ratio (SNR), in contrast to the square root dependence for circular Gaussian sources
Unsupervised Real-Time Visual Tracking Via Support Vector Classification

V isual tracking has become one of the most promising and extensively studied topic in Computer Vision. Due to real-time constraints, environment conditions, cluttered background and other practical limitations, tracking an object is usually a challenging and nontrivial task to achieve. Following a tracking-by-detection approach (see e.g. Avidan’s seminal work in [1]), in our work we present visual tracking as a problem of binary classification between foreground (i.e. the target object) and background. In this framework we propose an unsupervised tracking algorithm which exploits Support Vector Classification (here considered as a penalization problem), Kalman filtering, to ensure reliability and robustness, and an adaptive threshold, to improve computational performance. The good compromise between adaptivity, robustness and real-time processing of our solution makes it a simple and attractive alternative to the strategies already listed in literature. The comparison with the CamShift algorithm [10], in particular, has shown interesting results and seems to confirm its validity.
Capturing Spatial Randomness of Heterogeneous Cellular/WLAN Deployments With Dynamic Traffic

As fourth generation communications technology is already being deployed, research efforts are now being shifted to what comes beyond state-of-the-art wireless systems. Driven by the anticipated acceleration in mobile traffic demand, the wireless industry is specifically focused on improving capacity and coverage of current networks through aggressive reuse of the cellular spectrum. Together with deploying an increasingly dense overlay tier of smaller cells, mobile network operators are beginning to rely on unlicensed-band WLAN technologies to leverage additional spectrum and relieve congestion on their networks. Consequently, the emerging vision of heterogeneous networks exploits the potential of a diverse range of devices requiring connectivity at different scales to augment available system capacity and improve the user connectivity experience. In this paper, we seek to meet this important trend with our novel integrated methodology for assisted (managed) radio network selection capturing spatial randomness of converged cellular/WLAN deployments together with dynamic uplink traffic from their users. To this end, we employ tools coming from stochastic geometry to characterize performance of macro and pico cellular networks, as well as WLAN, mindful of user experience and targeting intelligent network selection/assignment. We complement our analysis with system-level simulations providing deeper insights into the behavior of future heterogeneous deployments.
Capacity Theorems for the Fading Interference Channel With a Relay and Feedback Links

Handling interference is one of the main challenges in the design of wireless networks. One of the key approaches to interference management is node cooperation, which can be classified into two main types: relaying and feedback. In this paper, we consider simultaneous application of both cooperation types in the presence of interference. We obtain exact characterization of the capacity regions for Rayleigh fading and phase fading interference channels with a relay and with feedback links, in the strong and very strong interference regimes. Four feedback configurations are considered: 1) feedback from both receivers to the relay, 2) feedback from each receiver to the relay and to one of the transmitters (either corresponding or opposite), 3) feedback from one of the receivers to the relay, and 4) feedback from one of the receivers to the relay and to one of the transmitters. Our results show that there is a strong motivation for incorporating relaying and feedback into wireless networks.