Miracle-dz/UniFAR-FTUs huggingface dataset:
Tool Support for Activity Recognition with Computational Causal Behaviour Models

Context-aware activity recognition plays an important role in different types of assistive systems and the approaches with which the context information is represented is a topic of various current projects. Here we present a tool support for activity recognition using computational causal behaviour models that allow the combination of symbolic causal model representation and probabilistic inference. The aim of the tool is to provide a flexible way of generating probabilistic inference engines from prior knowledge which reduces the need for collecting expensive training data.
Human Cdc14A regulates Wee1 stability by counteracting CDK-mediated phosphorylation

Cdc14A phosphatase regulates Wee1 kinase through dephosphorylation of two Cdk phosphorylation sites in its regulatory domain, Ser-123 and -139, both involved in the degradation of Wee1 at the entry into mitosis. In this way, Cdc14A interferes with the negative feedback loop between Wee1 and Cdk1 to regulate the mitotic switch.
Power - Aware Virtual Machine Consolidation considering Multiple Resources with Live Migration

the computing technologies require high level of efficiency and infrastructure that datacenters were unable to provide previously. Lack of efficient infrastructure can serve only limited number of users and simultaneously emits large amount of carbon footprint and over utilizes electrical power. Virtualization emerged as prime technique for service management and reduced energy expenses at datacenter. Hence, there is a need of virtualization techniques that enhance energy efficiency and CPU utilization along with required user's QoS (Quality of Service) in terms of minimum response time and maximum throughput. We propose efficient virtualization technique for dynamic VM consolidation according to the current power consumption by considering multiple resources (CPU, ram, and storage disk) with live migration of VMs by switching idle server to sleep mode, thus minimizing energy consumption at datacenter. The proposed approach can effectively handle strict SLA (Service Level Agreement) in homogeneous as well as in heterogeneous environment. The result verifies that the proposed algorithm reduces the number of active physical machines and it results into reduction of power consumption.
Z boson decay to photon plus Kaluza-Klein graviton in large extra dimensions

In the large extra dimensional ADD scenario, Z bosons undergo a one-loop decay into a photon and Kaluza-Klein towers of gravitons/gravi-scalars. We calculate such a decay width, extending previous arguments about the general form of the four-dimensional on-shell amplitude. The amplitudes calculated are relevant to processes in other extra dimensional models where the Standard Model fields are confined to a 4-brane.
Gold classification of COPDGene cohort based on deep learning

This study aims to employ deep learning for the development of an automatic classifier for the severity of chronic obstructive pulmonary disease (COPD) in patients. A three-layer deep belief network (DBN) with two hidden layers and one visible layer was employed to generate a model for classification, and the model's robustness against exacerbation was analyzed. Subjects from the COPDGene cohort were staged using the GOLD 2011 guidelines. 10,300 subjects with 361 features each were included in the analysis. After feature selection and parameter optimization, the proposed classification method achieved an accuracy of 97.2% by using a 10-fold cross validation experiment. The most sensitive features as revealed by the DBN weights were consistent with the clinical consensus as per previous studies and clinical diagnosis rules. In summary, we demonstrate that the DBN is a competitive tool for exacerbation risk assessment for patients suffering from, COPD.
So, What D'ya Expect? Pursuing Reasonable Individual Student Growth Targets To Improve Accountability Systems.

This study was undertaken to evaluate models that could be used to set single-year individual student academic growth targets. Multiple terms of individual student reading and mathematics test results were analyzed to predict each student's final status score in each subject. Test records from more than 5,300 students in 3 cohorts were used; 2 cohorts of roughly 670 to 750 students and 1 cohort of roughly 4,000 students. The two smaller cohorts were from the same school districts; the larger one was from the 2002 Northwest Evaluation Association norming study and represented nine school districts. Three terms of spring data were used to predict scores in a fourth spring term for the two smaller cohorts. For the larger cohort, four terms of fall data and four terms of spring data were used to predict scores in a fifth spring term. Also, the four terms of spring data were used independently to predict scores in the fifth spring term. The 12 models used to make predictions varied in data treatment, nature of the last score, and estimate of rate of growth used. Five of the models emerged as yielding the most parsimonious set of predictions. The most parsimonious model predicted student status slightly less than 50% of the time. These results suggest that all the models are less accurate than would be liked, but this does not preclude the possibility that some of the models or their components may be useful under certain conditions. (SLD)
Chemical and Structural Aspects of Ebola Virus Entry Inhibitors

The Ebolaviruses are members of the family Filoviridae (“filoviruses”) and cause severe hemhorragic fever with human case fatality rates as high as 90%. Infection requires attachment of the viral particle to cells and triggering of membrane fusion between the host and viral membranes, a process that occurs in the host endosome and is facilitated by the envelope glycoprotein (GP). One potential strategy for therapeutic intervention is the development of agents (antibodies, peptides, and small molecules) that can interfere with viral entry aspects such as attachment, uptake, priming, or membrane fusion. This paper highlights recent developments in the discovery and evaluation of therapeutic entry inhibitors and identifies opportunities moving forward.
Robust stability of uncertain stochastic fuzzy systems with time-varying delays

Based on Takagi-Sugeno (T-S) fuzzy models, the problem of robust stability for a class of uncertain stochastic fuzzy systems with time-varying delays is studied. First, a class of uncertainty T-S dynamical fuzzy systems is given. By constructing Lyapunov-Krasovskii functional, novel delay-dependent stability sufficient conditions are derived based on linear matrix inequality(LMI). The results are less conservative than existing ones. Numerical examples are presented to show that the advantage and validity of the proposed approach.
Knowledge Management Enablers and Knowledge Management Implementation

The importance of Knowledge Management (KM) process implementation for business success is well accepted. Evaluation of organizational members' intention toward KM and the factors that influence on their intentions are considered important for KM success. Thus, this work attempts to correctly define the variables that can be used to measure intention towards KM and the influencing factors on intention through factor analysis. The analysis was done using data collected from 313 executives in the Sri Lank an telecommunication industry.
Development of ultrashort pulse fiber lasers for optical communication utilizing semiconductor devices

The nonlinear reflectivity of semiconductor saturable absorber mirrors is investigated with ultrafast time-resolved and time-averaged reflectivity measurements. The relative contributions of absorption bleaching and induced absorption are studied as a function of fluence and wavelength. The impact of induced absorption on the stability of continuous-wave mode-locking is considered theoretically. Picosecond pulses are produced from an Er/Yb waveguide laser using a semiconductor saturable absorber mirror, and the influence of two-photon absorption on mode-locking is studied. A semiconductor mirror exhibiting only induced absorption is used to stabilize a GHz repetition rate active harmonically mode-locked fiber laser, improving supermode suppression by eliminating pulse dropouts. Thesis Supervisor: Erich P. Ippen Title: Elihu Thomson Professor of Electrical Engineering and Computer Science Professor of Physics
Genetic Structure and Relationship Analysis of an Association Population in Jute (Corchorus spp.) Evaluated by SSR Markers

Population structure and relationship analysis is of great importance in the germplasm utilization and association mapping. Jute, comprised of white jute (C. capsularis L) and dark jute (C. olitorius L), is second to cotton in its commercial significance in the world. Here, we assessed the genetic structure and relationship in a panel of 159 jute accessions from 11 countries and regions using 63 SSRs. The structure analysis divided the 159 jute accessions from white and dark jute into Co and Cc group, further into Co1, Co2, Cc1 and Cc2 subgroups. Out of Cc1 subgroup, 81 accessions were from China and the remaining 10 accessions were from India (2), Japan (5), Thailand, Vietnam (2) and Pakistan (1). Out of Cc2 subgroup, 35 accessions were from China, and the remaining 3 accessions were from India, Pakistan and Thailand respectively. It can be inferred that the genetic background of these jute accessions was not always correlative with their geographical regions. Similar results were found in Co1 and Co2 subgroups. Analysis of molecular variance revealed 81% molecular variation between groups but it was low (19%) within subgroups, which further confirmed the genetic differentiation between the two groups. The genetic relationship analysis showed that the most diverse genotypes were Maliyeshengchangguo and Changguozhongyueyin in dark jute, BZ-2-2, Aidianyehuangma, Yangjuchiyuanguo, Zijinhuangma and Jute 179 in white jute, which could be used as the potential parents in breeding programs for jute improvement. These results would be very useful for association studies and breeding in jute.
Morphometric dimensions of the human sperm head depend on the staining method used.

BACKGROUND Assessment of sperm morphology (including morphometry) is extensively used to determine one of the qualities of a semen sample and depends on the differential staining of spermatozoa. A staining technique should cause as little change to sperm dimensions and form as possible in order to reliably evaluate the morphometric features of the sperm. Various staining techniques have been employed, but only a few have been recommended by the World Health Organization and are amenable to automated sperm morphometry analysis. Our study was aimed at comparing the effect of three staining techniques [Papanicolaou (PAP), Rapidiff (RD) and SpermBlue (SB)] on human sperm head dimensions and to compare these with the head dimensions in fresh semen. METHODS Smears made from human semen samples (n = 24) were stained according to the three staining techniques and sperm head morphometry was assessed with the Sperm Class Analyzer. Head dimensions of fresh spermatozoa were measured with a digital calliper on a computer screen. The minimum number of spermatozoa to be analyzed to represent the sperm population and the degree of inter-laboratory variation were determined. Electron micrographs from the same semen samples were used to determine the actual acrosome coverage of the spermatozoa in the semen (n = 7) in order to verify the results of the automatic analyses. RESULTS The osmolality of human semen differs from that of the RD and PAP fixatives and stains, but is more similar to the SB fixative and stain. At least 100 spermatozoa should be analyzed to include a representative sample of the sperm population. RD caused sperm heads to swell, PAP caused them to shrink and SB had no significant effect on sperm head dimensions when compared with spermatozoa in fresh semen. Very little inter-laboratory variations were found. The percentage acrosome coverage was significantly different between the three staining techniques, as well as between the RD and PAP stains and the manual measurements obtained using the electron micrographs. CONCLUSIONS Different staining techniques change the morphometric dimensions of the human sperm head, probably due to the fact that either the fixatives or stains are not iso-osmotic in relation to human semen. Since these changes in sperm head dimensions are not uniform, care should be taken when selecting a staining technique. Ideally, stained spermatozoa should have dimensions as close to spermatozoa in fresh semen as possible, as was found with the SB staining method, resulting in accurate evaluations of sperm head morphometry.
Mesh Deformation Based Finite Element-Fictitious Boundary Method (FEM-FBM) for the Simulation of Twin-screw Extruders

In this paper a novel computational strategy consisting of a special combination of numerical techniques is presented, which allows to perform flow simulations in the framework of co-rotating twin-screw extruders involving complex geometrical descriptions of rotating intermeshing internal boundaries. The individual techniques combined together are a a) higher order Finite Element Method (FEM) augmented with the b) Fictitious Boundary Method (FBM) and a novel c) PDE-free Mesh Deformation (MD) technique, guaranteeing a high resolution/high order numerical scheme without the necessity of a case-specific time-consuming preprocessing step foregoing each simulation. The designed numerical scheme has the clear advantage to be used in a fully automated environment suitable to perform detailed case studies playing a key role in the design of specific twin-screw machines for particular material processing applications. keywords: extruder simulation, CFD, Fictitious Boundary Method, Mesh Deformation, FEM
Safety Standard for Mobile Robots - A Proposal for 3D Sensors

—In this paper we present a new and uniform way of evaluate 3D sensor performance. It is rare that standardized test speciﬁcations are used in research on mobile robots. A test rig with objects in the industrial safety standard Safety of industrial trucks - driverless trucks and their systems EN1525 is extended by thin vertical and horizontal objects that represent a fork on a forklift, a ladder and a hanging cable. A comparison of a trinocular stereo vision system, a 3D TOF (Time-Of-Flight) range camera and a Kinect device is made to verify the use of the test rig. All sensors detect the objects in the safety standard EN1525. The Kinect and 3D TOF camera shows reliable results for the objects in the safety standard at distances up to 5 m. The trinocular system is the only sensor in the test that detects the thin structures. The proposed test rig can be used to evaluate sensors to detect thin structures.
Real-World Affinity Diagramming Practices: Bridging the Paper-Digital Gap

Despite the availability of computer-based alternatives both for desktop and touch screen systems, a number of cooperative work processes still commonly rely on simple paper sticky notes. In this paper, we present the first in-depth investigation of the real-world practices of people who use paper-based affinity diagrams and similar clustering processes in their work, in order to identify challenges and requirements for technology support. Findings from retrospective and artifact-based interviews with 13 participants suggest ways in which the rich interactions and material affordances offered by paper are key to the process. Instead of seeking to replicate interactions with paper on a screen, simpler transfer of information between the physical and digital worlds has the potential to address many of the most pressing problems experienced in practice. We describe different types of technology integration and augmentation, with preliminary recommendations for different situations.
Flow control with EHD actuators in middle post stall regime

We analyze the modifications of the flow around a NACA 0015 airfoil when the flow is perturbed with an electrohydrodynamic (EHD) actuator. The device used consists of two bare electrodes flush mounted on the surface of the model operated in a discharge regime characterized by the formation of a plasma sheet contouring the body in the interelectrode space. In this study, we analyze the influence on the aerodynamic performance of the airfoil in the middle post stall regime (angle of attack»20o). The analysis is undertaken with measurements of the surface pressure distribution and of the flow fields with Particle Image Velocimetry technique. The experiments indicate that at moderate Reynolds numbers (150,000<Re<333,000), the actuator enables a reattachment of the flow and reveals an important sensitivity of the middle post stall regime to periodic excitation.
A Clone Node Protocol for Reducing Maintenance Cost of Structured P2P System

With highly dynamic, structured P2P system needs very large maintenance cost. But there is little research on this kind of maintenance. This article focuses on reducing maintenance cost of structured P2P system and proposes a Clone Node Protocol, CNP for short. We realize a new system based on Chord using CNP, i.e. CNChord. CNP can reduce maintenance cost greatly, and improve query efficiency at some extent.
Resampling Methods for the Area Under the ROC Curve

Receiver Operating Characteristic (ROC) analysis is a common tool for assessing the performance of various classification tools including biological markers, diagnostic tests, technologies or practices and statistical models. ROC analysis gained popularity in many fields including diagnostic medicine, quality control, human perception studies and machine learning. The area under the ROC curve (AUC) is widely used for assessing the discriminative ability of a single classification method, for comparing performances of several procedures and as an objective quantity in the construction of classification systems. Resampling methods such as bootstrap, jackknife and permutations are often used for statistical inferences about AUC and related indices when the alternative approaches are questionable, difficult to implement or simply unavailable. Except for the simple versions of the jackknife, these methods are often implemented approximately, i.e. based on the random set of resamples, and, hence, result in an additional sampling error while often remaining computationally burdensome. As demonstrated in our recent publications, in the case of the nonparametric estimator of the AUC these difficulties can sometimes be circumvented by the availability of closed-form solutions for the ideal (exact) quantities. Using these exact solutions we discuss the relative merits of the jackknife, permutation test and bootstrap in application to a single AUC or difference between two correlated AUCs.
Socio-cultural factors and entrepreneurial activity

Scholars who study entrepreneurship have lent great value by exploring the factors that explain how entrepreneurs create new businesses and thus, how societies and economies grow and prosper. Although there has considerable research based on psychological and economic approaches to entrepreneurship, the influence of socio-cultural factors on enterprise development remains under studied. Therefore, the aim of this paper is to integrate, from a theoretical perspective, the socio-cultural factors and entrepreneurial activity. In this sense, the article points out that the institutional approach could be an apt framework to develop future research analyzing the socio-cultural factors that influence the decisions to create new businesses. Also, a brief overview of the content of each of the papers included in this special issue is presented.
Explanation in the Semantic Web: a survey of the state of the art

Semantic Web applications use interconnected distributed data and inferential capabilities to compute their results. The users of Semantic Web applications might find it difficult to understand how a result is produced or how a new piece of information is derived in the process. Explanation enables users to understand the process of obtaining results. Explanation adds transparency to the process of obtaining results and enables user trust on the process. The concept of providing explanation has been first introduced in expert systems and later studied in different application areas. This paper provides a brief review of existing research on explanation in the Semantic Web.
Hash-based join algorithms for multiprocessor computers with shared memory

This paper studies a number of hash-based join algorithms for general purpose multiprocessor computers with shared memory where the amount of memory allocated to the join operation is proportional to the number of processors assigned to the operation and a global hash table is built in this shared memory. The concurrent update and access to this global hash table is studied. The elapsed time and total processing time for these algorithms are analyzed. The results indicate that, hybrid hash join that outperforms other hash-based algorithms in uniprocessor systems does not always performs the best. A simpler algorithm, hash-based nested loops join, performs better in terms of elapsed time when both the relations are of similar sizes.
Shot noise behavior of planar Mo/n-Si/Mo photodetector structure in avalanche mode

Low-frequency (3 to 50 kHz) shot noise behavior of planar metal/semiconductor/metal photodetector (MSM-PD) structure operating under pre avalanching and avalanching conditions has been observed. The structure examined is Mo/n-Si/Mo structure with electrode separation of 20µm. In higher voltages applied, both device current and its photocurrent component showed a rapid increase at a critical bias voltage due to onset of avalanche multiplication. It was found that the associated shot noise factor Γ2 varies in wide range from the order 0f 0.1 at pre-breakdown conditions to three orders of magnitude larger than unity corresponding to simple shot noise by avalanche multiplication. This result implies that the biasing condition for appropriate operation must be satisfied from the view point of signal-to noise ratio (S/N), when one operates this structure with high optical sensitivity. The value of noise factor obtained seems basically expressible by using existing theory with a little smaller exponent of multiplication factor.
Guard Your Daggers and Traces: On The Equational Properties of Guarded (Co-)recursion

Motivated by the recent interest in models of guarded (co-)recursion we study its equational properties. We formulate axioms for guarded fixpoint operators generalizing the axioms of iteration theories of Bloom and Esik. Models of these axioms include both standard (e.g., cpo-based) models of iteration theories and models of guarded recursion such as complete metric spaces or the topos of trees studied by Birkedal et al. We show that the standard result on the satisfaction of all Conway axioms by a unique dagger operation generalizes to the guarded setting. We also introduce the notion of guarded trace operator on a category, and we prove that guarded trace and guarded fixpoint operators are in one-to-one correspondence. Our results are intended as first steps leading to the description of classifying theories for guarded recursion and hence completeness results involving our axioms of guarded fixpoint operators in future work.