Miracle-dz/UniFAR-FTUs huggingface dataset:
Connectivity-Based Boundary Extractionof Large-Scale 3D Sensor Networks:Algorithm and Applications

Sensor networks are invariably coupled tightly with the geometric environment in which the sensor nodes are deployed. Network boundary is one of the key features that characterize such environments. While significant advances have been made for 2D cases, so far boundary extraction for 3D sensor networks has not been thoroughly studied. We present CABET, a novel Connectivity-Based Boundary Extraction scheme for large-scale 3D sensor networks. To the best of our knowledge, CABET is the first 3D-capable and pure connectivity-based solution for detecting sensor network boundaries. It is fully distributed, and is highly scalable, requiring overall message cost linear with the network size. A highlight of CABET is its non-uniform critical node sampling , called r'-sampling , that selects landmarks to form boundary surfaces with bias toward nodes embodying salient topological features. Simulations show that CABET is able to extract a well-connected boundary in the presence of holes and shape variation, with performance superior to that of some state-of-the-art alternatives. In addition, we show how CABET benefits a range of sensor network applications including 3D skeleton extraction, 3D segmentation, and 3D localization.
Capturing Salience with a Trainable Cache Model for Zero-anaphora Resolution

This paper explores how to apply the notion of caching introduced by Walker (1996) to the task of zero-anaphora resolution. We propose a machine learning-based implementation of a cache model to reduce the computational cost of identifying an antecedent. Our empirical evaluation with Japanese newspaper articles shows that the number of candidate antecedents for each zero-pronoun can be dramatically reduced while preserving the accuracy of resolving it.
Programa de intervención con entrenadores y padres de familia: efectos en las conductas del entrenador y el clima motivacional del equipo

This paper presents the application of an intervention program with coaches and parents of youth soccer teams in Mexico, for the promotion task-involving motivational climate. The intervention with coaches was based on the strategies postulated by the Mastery Approach to Coaching (MAC) program. In addition, educational strategies were implemented with parents. It involved the participation of 81 male soccer players between 12 and 15 years old, 4 male coaches and 34 parents. Behavioral changes were obtained in the coaches; however, the intervention did not produce a motivational climate of greater involvement towards the task.
A Blind Adaptive Kalman-SIC MUD Algorithm of the Wireless Multiple Access Mobile Communication System

The multi-user detection precision of successive interference cancellation (SIC) detector is always affected by the decision error diffusion. This paper focuses on the SIC algorithm of direct sequence spread spectrum code division multiple access (DS-CDMA) system with strong multiple access interference (MAI) and inter symbol interference (ISI). A blind adaptive Kalman-SIC multi-user detection (MUD) algorithm is proposed in this paper. This algorithm can totally track the time-varying channel, minimize the detection error diffusion, and thus effectively suppress MAI and ISI. Simulation results show that the blind adaptive Kalman-SIC algorithm is of better tracking ability, convergence and detection precision.  Index Terms—Successive interference cancellation, Kalman, DS-CDMA, multiple access interference.
Mmu-miR-27a-5p-Dependent Upregulation of MCPIP1 Inhibits the Inflammatory Response in LPS-Induced RAW264.7 Macrophage Cells

Lipopolysaccharide (LPS) stimulates macrophages to release proinflammatory cytokines. MicroRNAs (miRNAs) are short noncoding RNAs that are involved in inflammatory reaction. Our previously study identified the downregulated expression of mmu-miR-27a-5p in RAW267.4 cells treated with LPS. To dissect the mechanism that mmu-miR-27a-5p regulates target genes and affects proinflammatory cytokine secretion more clearly, based on previous bioinformatics prediction data, one of the potential target genes, MCPIP1 was observed to be upregulated with qRT-PCR and western blot. Luciferase reporter assays were performed to further confirm in silico prediction and determine that MCPIP1 is the target of mmu-miR-27-5p. The results suggested that mmu-miR-27a-5p directly targeted the 3′-UTR of MCPIP1 and the interaction between mmu-miR-27-5p and the 3′-UTR of MCPIP1 is sequence-specific. MCPIP1 overexpression decreased the secretion of IL-6, IL-1β, and IL-10 in macrophage cells stimulated with LPS. Our findings may provide the important information for the precise roles of mmu-miR-27a-5p in the macrophage inflammatory response to LPS stimulation in the future.
Mindfulness and Trauma: Some Striking Similarities

The traumatic experience and the meditative experience differ in many respects. For instance, it is possible to suggest that while a sense of helplessness is the most important feature of the traumatic experience, meditation does not involve a similar sense of helplessness. Furthermore, while trauma is shocking and horrifying, meditation is considered to be constructive and efficient in reducing stress and improving welfare. Yet, with this in mind, by comparing interviews with twelve senior meditators on the one hand and interviews with survivors of traumatic experiences from other qualitative studies of mine on the other, this paper suggests that essentially both phenomena are rooted in the same mechanism: the collapse of the intentional structure. More precisely, in both cases, the intentional structure collapses and, as a result, the gap between Me versus Not–Me diminishes: in that case, one loses the first-personal bodily egocentric perceptive upon the world.
Distribution of single‐nucleotide variants on protein–protein interaction sites and its relationship with minor allele frequency

Recent advances in DNA sequencing techniques have identified rare single‐nucleotide variants with less than 1% minor allele frequency. Despite the growing interest and physiological importance of rare variants in genome sciences, less attention has been paid to the allele frequency of variants in protein sciences. To elucidate the characteristics of genetic variants on protein interaction sites, from the viewpoints of the allele frequency and the structural position of variants, we mapped about 20,000 human SNVs onto protein complexes. We found that variants are less abundant in protein interfaces, and specifically the core regions of interfaces. The tendency to “avoid” the interfacial core is stronger among common variants than rare variants. As amino acid substitutions, the trend of mutating amino acids among rare variants is consistent in different interfacial regions, reflecting the fact that rare variants result from random mutations in DNA sequences, whereas amino acid changes of common variants vary between the interfacial core and rim regions, possibly due to functional constraints on proteins. This study illustrated how the allele frequency of variants relates to the protein structural regions and the functional sites in general and will lead to deeper understanding of the potential deleteriousness of rare variants at the structural level. Exceptional cases of the observed trends will shed light on the limitations of structural approaches to evaluate the functional impacts of variants.
Pro-inflammatory, Th1, Th2, Th17 Cytokines and Dendritic Cells: A Cross-sectional Study in Chronic Periodontitis

There are a limited number of studies correlating the different stages of dendritic cells (DC) maturation with cytokines in individuals presented chronic periodontitis (CP). The aim of the study was to evaluate the correlation among the expression of IL-2, IL-10, IL-4, IL-6, IFN-, TNF-α, and IL-17A with the presence of DC and mild-moderate or advanced CP. Gingival samples were obtained from 24 individuals with CP and six samples of normal mucosa (NM) overlapping third molar for controls of the levels of cytokines. Periodontal examination was performed. Immunohistochemical staining was carried out, revealing CD1a+ immature, Fator XIIIa+ immature, and CD83+ mature DCs. The inflammatory infiltrate was counted, and the cytokines were measured by flow cytometry. Densities of DCs and inflammatory infiltrate, cytokines, subtypes of CP, and clinical periodontal parameters were correlated and compared. IL-6 expression was correlated positively with the increased numbers of CD1a+ immature DCs. Levels of IL-2, TNF-α, IFN-, IL-10, and IL-17A were increased when compared with NM. The percentage of sites with clinical attachment level (CAL)>3 were positively correlated with densities of inflammatory infiltrate and negatively correlated with densities of immature DCs. IL-6 can contribute to the increase of the immature DCs in the CP. Higher levels of IL-2, TNF-α, IFN-, IL-10, and IL-17A cytokines were observed in CP. Higher densities of inflammatory infiltrate as well as lower densities of immature DCs can result in a more severe degree of human CP.
Acoustical Properties of Speech as Indicators of Depression and Suicidal Risk

Acoustical properties of speech have been shown to be related to mental states such as remission and depression. The objective of this project was to relate the energy in frequency bands with the severity of the mental state using the Beck Depression Inventory (BDI). Recorded speech was obtained from male and female subjects with mental states of remission, depression, and suicidal risk. These subjects had recorded automated and spontaneous speech samples. Multiple regression analysis was used to relate the independent energy band ratio variables with the dependent BDI scores, and thus allow the determination of equitable BDI scores for future patients. For the male group, the square of the 3rd energy band and the cross-product of the 2nd and 3rd energy band were prominent in both the reading and interviewed groups. Therefore the equation with the 2nd lowest Akaike Information Criterion (AIC) score was chosen for the reading male group, and the 1st lowest AIC score was chosen for the interviewed male group. For the female group, the square and cross-product of the 1st and 2nd energy bands were prominent in both the reading and interviewed groups. Therefore the 2nd lowest AIC score was chosen for the reading female group, and the 1st lowest AIC score was chosen for the interviewed female group. The clinician could thus determine the patient’s mood or state of mind by comparing the estimated BDI score with the ranges of total BDI scores: remitted 0 – 20, depressed 15 – 38, suicidal 38 – 46. Keywords: speech, mental states, power spectra, multiple regression, information theoretic criterion
Meta-model and Software Concepts for an Adaptive Component Architecture

This deliverable reports on the ongoing activities in Workpackage 7, in particular the programming model and a technology mapping for a software architecture centered around the concept of adaptive components. We present an early draft of the architectural metamodel which fuses the insights on the functional architecture with software architecture concepts. Furthermore, we elaborate on a first vertical prototype utilizing the introduced concepts in simulation (yet excluding hardware) showing a combination of skills experiment already implemented in the proposed AMARSi Compliant Control Architecture. Concluding, we provide an outlook to further co-development of the software architecture and the hardware platforms.
Ethanol Extract of Abnormal Savda Munziq, a Herbal Preparation of Traditional Uighur Medicine, Inhibits Caco-2 Cells Proliferation via Cell Cycle Arrest and Apoptosis

Aims. Study the effect of Abnormal Savda Munziq (ASMq) ethanol extract on the proliferation, apoptosis, and correlative gene, expression in colon cancer cells (Caco-2) to elucidate the molecular mechanisms responsible for the anticancer property of Abnormal Savda Munziq. Materials and Methods. ASMq ethanol extract was prepared by a professional pharmacist. Caco-2 cells were treated with different concentration of ASMq ethanol extract (0.5–7.5 mg/mL) for different time intervals (48 and 72 h). Antiproliferative effect of ASMq ethanol extract was determined by MTT assay; DNA fragmentation was determined by gel electrophoresis assay; cell cycle analysis was detected by flow cytometer; apoptosis-related gene expression was detected by RT-PCR assay. Results. ASMq ethanol extract possesses an inhibition effect on Caco-2 cells proliferation, induction of cell apoptosis, cell cycle arrest in sub-G1 phase, and downregulation of bcl-2 and upregulation of Bax gene expression. Conclusion. The anticancer mechanism of ASMq ethanol extract may be involved in antiproliferation, induction of apoptosis, cell cycle arrest, and regulation of apoptosis-related gene expression such as bcl-2 and Bax activity pathway.
A Note on Independent Sets in Trees

We give a simple graph-theoretical proof that the largest number of maximal independent vertex sets in a tree with n vertices is given by \[ m( T ) = \begin{cases} 2^{k - 1} + 1& {\text{if }} n = 2k, \\ 2^k & {\text{if }} n = 2k + 1, \end{cases}\] a result first proved by Wilf [SIAM J. Algebraic Discrete Methods, 7 (1986), pp. 125–130]. We also characterize those trees achieving this maximum value. Finally we investigate some related problems.
An empirical study of the use contexts and usability problems in mobile Internet

Mobile Internet, which is a combination of the Internet with mobile devices, is becoming increasingly popular. Mobile Internet is primarily different from stationary Internet in that it may be used in various contexts, whereas stationary Internet is mostly used in predetermined environments. However, it is far from clear in what places and situations mobile Internet has been used and what the impact of the contexts has been on the ease of use. This paper proposes a framework for studying the use context relevant to mobile Internet. It then presents the results of an empirical study of the use context and service usability for mobile Internet using monitoring methods. The results indicate that the use contexts of mobile Internet are concentrated rather than being widely diverse. Moreover, the different contexts present unique usability problems. The paper concludes by discussing the theoretical and practical implications of the results.
A freeway travel time predicting method based on IoV

Real-time travel time is one of the important value for traffic management and traffic control. With the help of Internet of Vehicles (IOV), the dynamic traffic information can be collected and distributed more correctly. In this paper, we propose a method to predict the remaining travel time (RTT) for a vehicle on the freeway in the IOV environment. The Markov chains are adopted to predict a vehicle's remaining travel time in real-time. The experimental results prove that the mean absolute percent error (MAPE) is less than 10%.
Load-balanced Route Discovery for Wireless Sensor Networks

Wireless se nsor n etworks have received academia research attention at present. A typically task in a wireless sensor network is that every sensor node senses its local environment and, upon request, sends the data of interest back to the sink node. The energy-constrain sensors in wireless sensor networks operate on limited batteries, so it is a very important issue to use energy efficiently and reduce power consumption. Most recent routing protocols tend to find the minimum energy cost path to lower energy usage for all routing paths, thus, they may lead to some of the nodes deplete their energy quickly. To maximize the network survivability by using equal energy among as many nodes as possible , this paper presents a novel load balancing multipath routing algorithm . In the paper, the sensor networks are constructed into a layered network. Based on the layered network, we propose a load balanced algorithm for constructing multiple routing paths to transmit data. The protocol spreads the routing load between the source and destination nodes over a large number of sensor nodes to minimize disparity in the energy levels of the sensor nodes. Simulation results show that the proposed scheme can prolong the network life effectively and enhance the data transmission efficiency.
Estimating and Testing Idiosyncratic Equations Using Cross-Section Dependent Panel Data: Application to Feldstein-Horioka Puzzle∗

A printer incorporated type electronic camera composed of an imaging unit including an imaging lens and a CCD, a printer unit, a cassette information detecting/recording unit, a tape cassette in which a recording tape having an adhesive agent applied to the back surface thereof is wound and accommodated and which can be detachably loaded and a controller for controlling respective elements. A subject image captured by the imaging unit is printed on recording tape in the tape cassette by the printer unit. Processing for fitting an image captured from an external source to the print image, and the like can be carried out. The tape cassette for print can be easily loaded to the printer incorporated type electronic camera and further the camera is less expensive. Since the radius of curvature of the recording tape when it is fed out is smaller that when it is accommodated, the recording tape can be easily exfoliated.
The Study of Kid ’ s Personalization Model for E-learning Content Development in Saudi Arabia Schools

The normal teaching processes for kids still has a gap from the education accessible point which can be achieved by utilizing the available technologies. Kids by their own nature will be attracted to present images. We aim here to investigate the use of multimedia facilities to attract kids to such learning tool and gain their basics knowledge. The normal teaching methods is still usable but inside schools, therefore an auxiliary e-learning content presentation. (Attractive web-site) to increase kids interest with their courses even outside school campus shall be developed. In addition, kids like to learn by interaction skills such as listening and watching which can be done through the attractive e-learning content presentation. This paper came to investigate the attractive and interactive module that contains an adapt to the special needs, individual interests, the suitable pace and personal qualities for kid’s , thus already get appropriate material of content for them , take into account the view of personalized e-learning content in the module. The proposed model in this study tends to contribute by linking individual psychological factors to learning outcomes and by considering the level of achievement in the taught subject as an indicator of the student’s ability.
Identification of a Novel Cortactin SH3 Domain-Binding Protein and Its Localization to Growth Cones of Cultured Neurons

ABSTRACT Cortactin is an actin-binding protein that contains several potential signaling motifs including a Src homology 3 (SH3) domain at the distal C terminus. Translocation of cortactin to specific cortical actin structures and hyperphosphorylation of cortactin on tyrosine have been associated with the cortical cytoskeleton reorganization induced by a variety of cellular stimuli. The function of cortactin in these processes is largely unknown in part due to the lack of information about cellular binding partners for cortactin. Here we report the identification of a novel cortactin-binding protein of approximately 180 kDa by yeast two-hybrid interaction screening. The interaction of cortactin with this 180-kDa protein was confirmed by both in vitro and in vivo methods, and the SH3 domain of cortactin was found to direct this interaction. Since this protein represents the first reported natural ligand for the cortactin SH3 domain, we designated it CortBP1 for cortactin-binding protein 1. CortBP1 contains two recognizable sequence motifs within its C-terminal region, including a consensus sequence for cortactin SH3 domain-binding peptides and a sterile alpha motif. Northern and Western blot analysis indicated that CortBP1 is expressed predominately in brain tissue. Immunofluorescence studies revealed colocalization of CortBP1 with cortactin and cortical actin filaments in lamellipodia and membrane ruffles in fibroblasts expressing CortBP1. Colocalization of endogenous CortBP1 and cortactin was also observed in growth cones of developing hippocampal neurons, implicating CortBP1 and cortactin in cytoskeleton reorganization during neurite outgrowth.
A Generic Approach for Developing Highly Scalable Particle-Mesh Codes for GPUs

We present a general framework for GPU-based low-latency data transfer schemes that can be used for a variety of particle-mesh algorithms [8]. This framework allows to hide the latency of the data transfer between GPU-accelerated computing nodes by interleaving it with the kernel execution on the GPU. We discuss as an example the fully relativistic particle-in-cell (PiC) code PIConGPU [5] currently used to simulate particle acceleration by extremely short high-energy laser pulses. The PiC algorithm is a versatile algorithm used frequently in plasma physics—especially for large-scale simulations of fusion plasmas [13]—, in astrophysics [7], [9], or for the simulation of particle accelerators [11]. A special Cell processor version is used as a benchmark code for the Roadrunner system at Los Alamos National Lab [4]. In general, particle-in-cell codes show very good weak scaling in both mesh size and particle number and thus are good candidates for massively-parallel computing approaches [10]. However, when considering vector parallelization as used for example by GPU accelerators one has to take into account that particles can cross the boundaries between mesh domains. Such particle crossings may cause non-local memory access every time mesh-related data such as fields and currents and particle data such as velocities and positions are accessed by the same kernel [7]. Random and non-local memory access can seriously degrade the overall performance on modern accelerator hardware [3], [12]. Thus, performant implementations of the PiC-algorithm with vector parallel memory access accelerator hardware have been sparse [1], [12]. The need for large-scale simulations of plasmas calls for a general approach towards vector-parallel PiC implementations. The presented hybrid GPU-CPU data transfer and access framework is grid-based and can, furthermore, be used for general particle-mesh schemes. GPU memory access to particle data and regular grid data are efficiently separated, while data that has to be exchanged between domains located on different GPUs is transferred during computing steps using GPU-CPU memory transfers and MPI. A simulation of laserwakefield acceleration of electrons in an underdense plasma serves as a real-world benchmark for the performance of the framework.