Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Resource Allocation for Virtualized Small Cell Networks with Full Duplex Self-Backhauls

Wireless network virtualization has attracted great attentions from both academia and industry. Another emerging technology for next generation wireless networks is in-band full duplex (FD) communications. Due to its promising performance, FD communication has been considered as an effective way to achieve self- backhauls for small cells. In this paper, we introduce wireless virtualization into small cell networks, and propose a virtualized small cell network architecture with FD self-backhauls. We formulate the virtual resource allocation problem in virtualized small cell networks with FD self-backhauls as an optimization problem. Since the formulated problem is a mixed combinatorial and non-convex optimization problem, its computational complexity is high. Moreover, the centralized scheme may suffer from signaling overhead, outdated dynamics information, and scalability issues. To solve it efficiently, we divide the original problem into two subproblems. For the first subproblem, we transfer it to a convex optimization problem, and then solve it by an efficient alternating direction method of multipliers (ADMM)-based distributed algorithm. The second subproblem is a convex problem, which can be solved by each infrastructure provider. Extensive simulations are conducted with different system configurations to show the effectiveness of the proposed scheme.
FINITE ELEMENT ANALYSIS OF CONTROLLED LOW-STRENGTH MATERIAL PAVEMENT BASES: STATIC ANALYSIS

This paper presents static analysis of pavement bases constructed using sustainable material, a controlled low-strength material (CLSM), using finite element method (FEM). The CLSM concrete is introduced as pavement bases for its special features of easy compaction, high workability and relatively low cost. Rut-resistant stone matrix asphalt is placed on top of CLSM as wearing surface layer. The Young
Analysis of Videos using Tile Mining

We investigate how mining top-k largest tiles in a data stream under the sliding window model can be useful for (real-time) analysis of videos and, in particular, for tracking. We first explain how a track- ing problem can be cast into a stream pattern mining problem. We then show some preliminary results on tracking in the particular context where both the objects and the camera are moving and where the user does not specify the regions of interest in the first frames of the videos.
Nao-Xue-Shu Oral Liquid Protects and Improves Secondary Brain Insults of Hypertensive Cerebral Hemorrhage

Aim. To determine one traditional Chinese medicine (TCM) Nao-Xue-Shu oral liquid which protects and improves secondary brain insults (SBI) in hypertensive cerebral hemorrhage (HCH). Methods. 158 patients with HCH were divided into routine clinical medicine plus Nao-Xue-Shu oral liquid (n = 78) as treatment group, and routine clinical medicine (n = 80) only served as the control group. The incidence of SBI and the classification of a favorable prognosis and a bad prognosis using the Glasgow outcome scale (GOS) were assessed to evaluate the clinical effects. The changes of IL-6 and TNF-α levels were determined to study the mechanism of the effects for the TCM. Results. The incidence of SBI at the end of week 2 was 8.97% in the treatment group and 23.75% in the control group, and the difference was significant (P < 0.001). The incidence of a favorable prognosis was 48.72% in the treatment group and 32.72% in the control group, and the difference was significant (P < 0.01) at the end of week 2. These findings indicate clear differences for IL-6 and TNF-α at the end of week 1 and week 2 compared with before treatment for the treatment group and a marked difference at the end of week 2 between the two groups. It also shows a significant difference between the end of week 2 and before treatment for IL-6 and TNF-α for the control group, although the difference was much smaller than the treatment group. Conclusion. Nao-Xue-Shu oral liquid could protect against the occurrence of SBI and improve HCH and SBI patients. It may also decrease the damage and the mass effects of the hematoma by reducing IL-6 and TNF-α to obtain the effects, and thus it is a potentially suitable drug for HCH and SBI.
Local Phase Coherence Measurement for Image Analysis and Processing

The ability of humans to perceive significant pattern and structure in an image is something which humans take for granted. We can recognize objects and patterns independent of changes in image contrast and illumination. In the past decades, it has been widely recognized in both biology and computer vision that phase contains critical information in characterizing the structures in images. Despite the importance of local phase information and its significant success in many computer vision and image processing applications, the coherence behavior of local phases at scale-space is not well understood. This thesis concentrates on developing an invariant image representation method based on local phase information. In particular, considerable effort is devoted to study the coherence relationship between local phases at different scales in the vicinity of image features and to develop robust methods to measure the strength of this relationship. A computational framework that computes local phase coherence (LPC) intensity with arbitrary selections in the number of coefficients, scales, as well as the scale ratios between them has been developed. Particularly, we formulate local phase prediction as an optimization problem, where the objective function computes the closeness between true local phase and the predicted phase by LPC. The proposed framework not only facilitates flexible and reliable computation of LPC, but also broadens the potentials of LPC in many applications. We demonstrate the potentials of LPC in a number of image processing applications. Firstly, we have developed a novel sharpness assessment algorithm, identified as LPC-Sharpness Index (LPC-SI) , without referencing the original image. LPC-SI is tested using four subject-rated publicly-available image databases, which demonstrates competitive performance when compared with state-of-the-art algorithms. Secondly, a new fusion quality assessment algorithm has been developed to objectively assess the performance of existing fusion algorithms. Validations over our subject-rated multi-exposure multi-focus image database show good correlations between subjective ranking score and the proposed image fusion quality index. Thirdly, the invariant properties of LPC measure have been employed to solve image registration problem where inconsistency in intensity or contrast patterns are the major challenges. LPC map has been utilized to estimate image plane transformation by maximizing weighted mutual information objective function over a range of possible transformations. Finally, the disruption of phase coherence due to blurring process is employed in a multi-focus image fusion algorithm. The algorithm utilizes two activity measures, LPC as a sharpness activity measure along with local energy as a contrast activity measure. We show that combining these two activity measures result in notable performance improvement in achieving both maximal contrast and maximal sharpness simultaneously at each spatial location.
Response and adverse drug reactions to combination chemotherapy in elderly patients with aggressive non‐Hodgkin's ymphoma: comparison of CHOP, COP‐BLAM, COP‐BLAM III, and THP‐COPBLM

Abstract: We retrospectively compared therapeutic results and adverse events in 198 elderly patients (≥70 yr old) with aggressive non‐Hodgkin's lymphoma diagnosed between 1981 and 1995 who underwent CHOP, COP‐BLAM, COP‐BLAM III, or THP‐COPBLM chemotherapy. Complete remission (CR) was achieved in 138 patients (69.7%). The CR rate was 47.0% for CHOP, 76.3% for COP‐BLAM, 67.9% for COP‐BLAM III, and 74.4% for THP‐COPBLM therapy (p = 0.013). The 5‐yr survival rate was 37.0% for CHOP, 49.0% for COP‐BLAM, and 53.5% for COP‐BLAM III. The event‐free survival rate showed no significant differences between the four treatments. Adverse events of Grade 3 or worse were commonly anemia or granulocytopenia in patients receiving THP‐COPBLM therapy. Cardiac sympathetic dysfunction and cardiac mitochondrial damage were less common with pirarubicin than with doxorubicin.
On Linearization of Superon-Graviton Model (SGM)

Referring to the supermultiplet of N=1 supergravity (SUGRA) the linearization of N=1 SGM action describing the nonlinear supersymmetric (NL SUSY) gravitational interaction of superon (Nambu-Goldstone fermion) is attempted. The field contents of on-shell SUGRA supermultiplet are realized as the composites, though they have new SUSY transformations which closes on super-Poincar\'e algebra. Particular attentions are paid to the local Lorentz invariance.
When Preference Is Not Satisfied but the Individual Is

One aspect of person–job fit reflects congruence between personal preferences and job design; as congruence increases so should satisfaction. The authors hypothesized that power distance would moderate whether fit is related to satisfaction with degree of job formalization. They obtained measures of job formalization, fit, and satisfaction, as well as organizational commitment, from employees (N = 772) in a multinational firm with subsidiaries in six countries. Confirming previous findings, individuals from low-power-distance cultures were most satisfied with increasing fit. However, the extent to which individuals from high-power-distance cultures were satisfied did not necessarily depend on increasing fit but mostly on whether the degree of formalization received was congruent with cultural norms. Irrespective of culture, satisfaction with formalization predicted a broad measure of organizational commitment. Apart from the novel extension of fit theory, the authors show how moderation can be tested in the context of polynomial response surface regression and how specific hypotheses can be tested regarding different points on the response surface.
Bioassay-Guided Isolation of DPP-4 Inhibitory Fractions from Extracts of Submerged Cultured of Inonotus obliquus

Inonotus obliquus is a medicinal mushroom used in Russian and Eastern European folk medicine for the treatment of gastrointestinal cancer, cardiovascular disease and diabetes. Previous studies in our laboratory have demonstrated that the mycelium powders of I. obliquus possess significant antihyperglycemic effects in a mouse model of diabetic disease induced by alloxan. However, the active ingredients of mycelium powders responsible for the diabetes activity have not been identified. This study aims to identify the active ingredients of I. obliquus mycelium powders by a bioassay-guided fractionation approach and explore the mechanism of action of these active ingredients by using a well-established DPP-4 (an important enzyme as a new therapeutic target for diabetes) inhibitory assay model. The results showed the chloroform extract of mycelium was potential inhibitory against DPP-4. Bioactivity guided fractionation led to the identification of 19 compounds using UPLC-Q-TOF-MS. Molecular docking between the compounds and DPP-4 revealed that compounds 5, 8, 9, 14, 15 may be the active components responsible for the DPP-4 inhibitory activity.
Impact of diffraction and attenuation for material characterisation in millimetre wave bands

This paper presents an early stage of developing an outdoor propagation model in millimetre wave bands and consider developing electrical parameters for building materials at 45GHz. Sample materials for building have been chosen for investigation in term of diffraction and attenuation as a mean of extracting true attenuation properties. Results for diffraction are validated against a Knife Edge Diffraction model; the effect of the sample size/thickness investigated and finally the attenuation for both concrete and wood sample are presented, showing concrete attenuation at 4.38 dB/cm and solid wood at 2.42 dB/cm at horizontal-horizontal polarization and at vertical-vertical polarization of 4.64 dB/cm and 4.19 dB/cm respectively. Towards the end of this research, the materials parameters will be embedded in a 3D ray tracer simulator for outdoor propagation modelling.
Under Consideration for Publication in Theory and Practice of Logic Programming Integration Schemas for Constraint Answer Set Programming: a Case Study

Recently, researchers in answer set programming and constraint programming spent significant efforts in the development of hybrid languages and solving algorithms combining the strengths of these traditionally separate fields. These efforts resulted in a new research area: constraint answer set programming (CASP). CASP languages and systems proved to be largely successful at providing efficient solutions to problems involving hybrid reasoning tasks, such as scheduling problems with elements of planning. Yet, the development of CASP systems is difficult, requiring non-trivial expertise in multiple areas. This suggests a need for a study identifying general development principles of hybrid systems. Once these principles and their implications are well understood, the development of hybrid languages and systems may become a well-established and well-understood routine process. As a step in this direction, in this paper we conduct a case study aimed at evaluating various integration schemas of CASP methods.
Answering research questions without calculating the mean

In an important theoretical article Speelman and McGann (2013) indicated that psychological researchers tend to use statistical procedures that involve calculating the mean of a variable in an uncritical manner. A typical procedure in psychological research consists of calculating the mean of some dependent variable in two or more samples and to present those means as summaries of the samples. The next step is to use some statistical technique (e.g., t-test, ANOVA) in order to be able to determine the probability of finding the observed differences between means in those samples given that the difference between the means of the populations from which the samples were extracted is zero. If this probability is very low (i.e., <0.05) the psychological researcher decides that the difference between the means of the populations of interest is not zero. This procedure—the null hypothesis statistical significance testing (NHST) procedure–has received a huge number of criticisms, which are beyond the scope of this article. However, I would like to present the anecdote told by Cohen (1994), not only to criticize the NHST procedure itself but also the uncritical manner in which the procedure is used. Cohen tells us that a colleague hypothesized that a rare disease did not exist in a population; he then collected a sample of 30 individuals and found that one of them had the disease. He then wondered what type of significance test should be used in this situation. Obviously, the existence of one case with the disease is enough evidence to refute the hypothesis, but the uncritical search for a hypothesis testing procedure precluded the researcher from seeing the obvious. This anecdote nicely dovetails with Speelman and McGann's (2013) assertion that psychological researchers tend to use procedures that involve calculating means in an uncritical manner. The goal of this article is to emphasize that there are procedures that do not involve calculating means, which are perfectly sound to answer research questions. In the following sections I will present the endeavor that other colleagues in the field of psychology of expertise and I embarked on with the purpose of testing hypotheses of the deliberate practice framework (Ericsson et al., 1993). I will present four measures that did not involve calculating the mean (i.e., variability, a value, a case, and distributions) I have used in my research to answer research questions. Before that I briefly explain the deliberate practice framework.
Heat pump capacity effects on peak electricity consumption and total length of self- and solar-assisted shallow ground heat exchanger networks

A new “self-assisted” Ground Source Heat Pump (GSHP) system configuration is proposed to address the relatively high peak electricity demand of undersized GSHP systems equiped with auxiliary electric heater. In this configuration, ground heat exchangers (GHE) have two independent circuits: the first circuit is used to inject the extra heat produced by the heat pump into the ground during off-peak operations, while the second circuit is used to extract heat in the winter and reject heat in the summer for space heating and cooling, respectively. This configuration is compared against a “solar-assisted” configuration and a conventional single U-tube configuration. An analytical model for shallow GHE networks is used to evaluate the effects of the heat pump nominal capacity and the borehole total length on the total electricity consumption and peak electricity demand of the three configurations. Results show that the self-assisted configuration reduces the peak electricity demand by 47%, in a case with a 29% undersized GHE network and a 16% undersized heat pump nominal capacity, while it increases the total energy consumption by 4.1%. Using a solar-assisted configuration for the same sizing parameters reduces the peak electricity demand by only 6.3% and the total energy consumption by 3.8%.
A cluster-based genetic approach for segmentation of time series and pattern discovery

In the past, we proposed a time series segmentation approach by combining the clustering technique, the discrete wavelet transformation and the genetic algorithm to automatically find segments and patterns from a time series. In this paper, we propose an enhanced approach to solve the problems that may occur during the evolution process. Two factors, namely the density factor and the distortion factor, are used to solve them. The distortion factor is used to avoid the distortion of the segments and the density factor is used to avoid generation of meaningless patterns. The fitness value of a chromosome is then evaluated by the distances of segments and these two factors. Experimental results on a financial dataset also show the effectiveness of the proposed approach.
Dynamic Summarization: Another Stride Towards Summarization

In order to produce summaries from dynamic content, we address the definition of the dynamic summarization. In this paper, the issue of modeling of dynamic summarization is discussed, and then two solutions of model improvement with set theory and algorithm improvement with reranking are proposed for dynamic summarization from classic summarization. Finally, the performances of these two solutions are evaluated on the dataset of DUC 2007. Our results demonstrate that the model improvement solution is more effective, but as another stride towards summarization, dynamic summarization research still need further study.
Topological Properties Affect the Power of Network Coding in Decentralized Broadcast

There exists a certain level of ambiguity regarding whether network coding can further improve download performance in P2P content distribution systems, as compared to commonly applied heuristics such as rarest first protocols. In this paper, we revisit the problem of broadcasting multiple data blocks from a single source in an overlay network using gossip-like protocols. Our new finding reveals that the marginal benefit of network coding critically depends on the dynamics of network topologies. We show that although network coding is optimal as a block selection mechanism, simple non-coding protocols are close to optimal in complete and random graphs, leading to marginal benefits of network coding. However, network coding demonstrates salient benefits in clustered and time-varying topologies, which are common in real-world systems with ISP-locality mechanisms implemented. Through both theoretical analysis and simulation results, we unveil the underlying reasons behind discrepancies in the power of network coding under different scenarios.
Dealing with Overlapping Clustering: A Constraint-based Approach to Algorithm Selection

When confronted to a clustering problem, one has to choose which algorithm to run. Building a system that automatically chooses an algorithm for a given task is the algorithm selection problem. Unlike the well-studied task of classification, clustering algorithm selection cannot rely on labels to choose which algorithm to use. However, in the context of constraint-based clustering, we argue that using constraints can help in the algorithm selection process. We introduce CBO value, a measure based on must-link and cannot-link constraints that quantifies the overlapping in a dataset. We demonstrate its usefulness by choosing between two clustering algorithm, EM and spectral clustering. This simple method shows an average performance increase, demonstrating the potential of using constraints in clustering algorithm selection.
Super-resolution of Faces using the Epipolar Constraint

In this paper we present a super-resolution scheme specifically designed for faces. First, a face detector is used to find faces in a video frame, after which an optical flow algorithm is applied to track feature points on the faces. Given the set of flow vectors corresponding to a single face, we propose to use the epipolar geometry for rejecting outlying flow vectors. This will improve the registration of the face over multiple frames, and thus lead to an improved super-resolution image. An iterative backprojection method is used for acquiring the super-resolution images
Extending the Lifetime of Wireless Sensor Networks Through Adaptive Sleep

In recent years, the use of wireless sensor networks for industrial applications has rapidly increased. However, energy consumption still remains one of the main limitations of this technology. As communication typically accounts for the major power consumption, the activity of the transceiver should be minimized, in order to prolong the network lifetime. To this end, this paper proposes an adaptive staggered sleep protocol (ASLEEP) for efficient power management in wireless sensor networks targeted to periodic data acquisition. This protocol dynamically adjusts the sleep schedules of nodes to match the network demands, even in time-varying operating conditions. In addition, it does not require any a priori knowledge of the network topology or traffic pattern. ASLEEP has been extensively studied with simulation. The results obtained show that, under stationary conditions, the protocol effectively reduces the energy consumption of sensor nodes (by dynamically adjusting their duty-cycle to current needs) thus increasing significantly the network lifetime. With respect to similar nonadaptive solutions, it also reduces the average message latency and may increase the delivery ratio. Under time-varying conditions, the protocol is able to adapt the duty-cycle of single nodes to the new operating conditions, while keeping a consistent sleep schedule among sensor nodes. The results presented here are also confirmed by an experimental evaluation in a real testbed.