Miracle-dz/UniFAR-FTUs huggingface dataset:
Parameters Optimization in Manufacturing Nanopowder Bioceramics of Eggshell with Pulverisette 6 Machine using Taguchi and ANOVA Method (TECHNICAL NOTE)

This research is about manufacture nanopowder Bioceramics from local materials used Ball Milling for biomedical applications. Source materials for the manufacture of medicines are plants, animal tissues, microbial structures and engineering biomaterial. The form of raw material medicines is a powder before mixed. In the case of medicines, research is to find sources of biomedical materials that will be in the nanoscale powders can be used as raw material for medicine. One of the biomedical materials that can be used as raw material for medicine is of the type of bioceramics is chicken egg shells. This research will develop methods for manufacture nanopowder material from chicken egg shells with Ball Milling using the Taguchi method and ANOVA. Eggshell milled using a variation of Milling rate on 150, 200 and 250 rpm, the time variation of 1, 2 and 3 hours and variations the grinding balls to egg shell powder weight ratio 1: 6, 1: 8, 1: 10. Before milled with Ball Milling crushed eggshells in advance and calcinate to a temperature of 900oC. After the milled material characterization of the fine powder of eggshell using SEM to see its size. The result of this research from analyzing the parameter contribution process to size measure of chicken's eggshell powder. Milling speed, milling time and ball to powder weight of ratio have contribution successively equal to 60.82%, 30.76% and 6.64% by error equal to 1.78%.
Generalized DCell Structure for Load-Balanced Data Center Networks

DCell~\cite{guo} has been proposed as a server centric network structure for data centers. DCell can support millions of servers with high network capacity and provide good fault tolerance by only using commodity mini- switches. However, the traffic in DCell is imbalanced in that links at different layers carry very different number of flows. In this paper, we present a generalized DCell framework so that structures with different connecting rules can be constructed. We show that these structures still preserve the desirable properties of the original DCell structure. Furthermore, we show that the new structures are more symmetric and provide much better load- balancing when using shortest-path routing. We demonstrate the load- balancing property of the new structures by extensive simulations.
A Randomized Controlled Trial of Brain-Activating Rehabilitation for Elderly Participants with Dementia in Residential Care Homes

Background/Aims: We aimed to prove the effectiveness of brain-activating rehabilitation for dementia, which consisted of 5 principles: pleasant atmosphere, communication, praising, social role, and supportive care. Methods: The design was a randomized controlled trial that was not blinded. Fifty-four elderly participants with dementia (mean age: 85.2 years) were selected. Intervention based on the 5 principles of brain-activating rehabilitation was conducted for 1 h, twice a week, for 12 weeks (24 sessions). The control group had no treatment. Outcome measures consisted of two observation scales, namely sum of boxes in clinical dementia rating (CDR-SB) and the multidimensional observation scale for elderly subjects (MOSES), and two cognitive tests: the Hasegawa dementia scale revised (HDS-R) and trail making test A. Results: Repeated measure ANCOVA showed a significant interaction for total score of CDR-SB (F = 7.190, p = 0.015) and MOSES (F = 4.525, p = 0.038). There were no significant changes in the two cognitive test scores. Conclusion: Intervention based on the principles of brain-activating rehabilitation was effective in maintaining and improving daily life functions in elderly participants with dementia in residential care homes.
Bioinformatics Projects Supporting Life-Sciences Learning in High Schools

The interdisciplinary nature of bioinformatics makes it an ideal framework to develop activities enabling enquiry-based learning. We describe here the development and implementation of a pilot project to use bioinformatics-based research activities in high schools, called “Bioinformatics@school. ” It includes web-based research projects that students can pursue alone or under teacher supervision and a teacher training program. The project is organized so as to enable discussion of key results between students and teachers. After successful trials in two high schools, as measured by questionnaires, interviews, and assessment of knowledge acquisition, the project is expanding by the action of the teachers involved, who are helping us develop more content and are recruiting more teachers and schools.
Essential requirement for β-arrestin2 in mouse intestinal tumors with elevated Wnt signaling

β-Arrestins (Arrb) participate in the regulation of multiple signaling pathways, including Wnt/β-catenin, the major actor in human colorectal cancer initiation. To better understand the roles of Arrb in intestinal tumorigenesis, a reverse genetic approach (Arrb−/−) and in vivo siRNA treatment were used in ApcΔ14/+ mice. Mice with Arrb2 depletion (knockout and siRNA) developed only 33% of the tumors detected in their Arrb2-WT littermates, whereas Arrb1 depletion remained without significant effect. These remaining tumors grow normally and are essentially Arrb2–independent. Unsupervised hierarchical clustering analysis showed that they clustered with 25% of ApcΔ14/+;Arrb2+/+ tumors. Genes overexpressed in this subset reflect a high interaction with the immune system, whereas those overexpressed in Arrb2–dependent tumors are predominantly involved in Wnt signaling, cell adhesion, migration, and extracellular matrix remodeling. The involvement of Arrb2 in intestinal tumor development via the regulation of the Wnt pathway is supported by ex vivo and in vitro experiments using either tumors from ApcΔ14/+ mice or murine ApcMin/+ cells. Indeed, Arrb2 siRNAs decreased the expression of Wnt target genes in cells isolated from 12 of 18 tumors from ApcΔ14/+ mice. In ApcMin/+ cells, Arrb2 siRNAs completely reversed the increased Wnt activity and colony formation in soft agar induced by Apc siRNA treatment, whereas they did not affect these parameters in basal conditions or in cells expressing constitutively active β-catenin. We demonstrate that Arrb2 is essential for the initiation and growth of intestinal tumors displaying elevated Wnt pathway activity and identify a previously unsuspected molecular heterogeneity among tumors induced by truncating Apc mutations.
Detection of Malcodes by Packet Classification

In this paper, we propose an anomaly detection approach that classifies packets into code-type and data-type. Our objective is to detect a packet containing codes flowing into a network port, which normally expects data packets only. The proposed approach can detect potentially malicious packets such as worms, viruses, and shellcodes. We propose a time-efficient algorithm and show the results of our initial experiments.
The Lck Binding Domain of Herpesvirus Saimiri Tip-484 Constitutively Activates Lck and STAT3 in T Cells

ABSTRACT Constitutive activation of signal transducers and activators of transcription (STATs) has been associated with oncogenesis. Previously, a protein required for T-cell transformation by the DNA tumor virus herpesvirus saimiri (HVS) strain 484, designated tyrosine kinase-interacting protein (Tip-484), was shown to interact with and dramatically upregulate the activity of the STATs in an Lck-dependent manner. The minimal region of Tip-484 responsible for binding Lck was defined as a 10-residue C-terminal Src-related kinase homology domain, an 18-amino-acid spacer, and a 10-residue potential SH3 binding domain. This region is termed the LBD (for Lck binding domain). The present data show that only the LBD of Tip-484 is needed to activate Lck in vitro and in vivo. Finally, the LBD was shown to form a complex with STAT3 in vitro, and expression of the LBD in T cells led to STAT3 activation equal to that of full-length Tip-484. These studies demonstrate that the 48-amino-acid LBD of Tip-484 can perform as effectively as the full-length protein in vitro and in vivo.
Detection of high-risk macular edema using texture features and classification using SVM classifier

In digital retinal images, positive means of texture feature detection around the macula region with specified radius is still an open issue. Diabetic macular edema is a complication caused due to Diabetic Retinopathy (DR) and is the true cause of blindness and visual loss. In this paper, we have presented a computerized method for texture feature extraction around the specified radius taking macula as the centre. By proper segmentation techniques, the region of 1DD (Disc Diameter) around the macula centre, was extracted out. The extracted region contained a great amount of abnormalities like micro-aneurysms, hard-exudates and hemorrhages, thereby texture features varied greatly. Unlike other well-known approaches of machine learning classifier techniques, we propose a combination of texture feature extraction from the region of interest around macula and grading using Support Vector Machine (SVM) classifier. The segmented region containing abnormalities differ greatly in texture and a promising “accuracy > 86%” was obtained between the “normal” and “abnormal” type classification. The performance evaluation of the automated system was determined by parameters, namely Sensitivity, Specificity and Accuracy with values obtained about 91%, 75% & 86 % respectively.
The Basic Two-Level Regression Model

The multilevel regression model has become known in the research literature under a variety of names, such as ‘random coefficient model’ (Kreft & de Leeuw, 1998), ‘variance component model’ (Searle, Casella & McCulloch, 1992; Longford, 1993), and ‘hierarchical linear model’ (Raudenbush & Bryk, 2002; Snijders & Bosker, 2012). Statistically oriented publications generally refer to the model as a ‘mixed-effects’ or ‘mixed linear model (Littell, Milliken, Stroup & Wolfinger, 1996) and sociologists refer to it as ‘contextual analysis’ (Lazarsfeld & Menzel, 1961). The models described in these publications are not exactly the same, but they are highly similar, and we refer to them collectively as ‘multilevel regression models’. The multilevel regression model assumes that there is a hierarchical data set, often consisting of subjects nested within groups, with one single outcome or response variable that is measured at the lowest level, and explanatory variables at all existing levels. The multilevel regression model can be extended by adding an extra level for multiple outcome variables (see chapter 10), while multilevel structural equation models are fully multivariate at all levels (see chapters 14 and 15). Conceptually, it is useful to view the multilevel regression model as a hierarchical system of regression equations. In this chapter, we explain the multilevel regression model for two-level data, providing both the equations and an example, and later extend this model with a three-level example.
On Defining and Computing Communities

Inspired by the planted l-partition model, the hierarchical random graph model and observations on real networks we define a community structure of a graph as a partition of the nodes into at least two sets with the property that each node has connections to relatively many nodes in its own set compared to any other set in the partition. We refer to the sets in such a partition as communities. We show that it is NPhard to compute a community containing a given set of nodes. On the other hand, we show how to compute a community structure in polynomial time for any connected graph containing at least four nodes except the star graph Sn.
RASR/NN: The RWTH neural network toolkit for speech recognition

This paper describes the new release of RASR - the open source version of the well-proven speech recognition toolkit developed and used at RWTH Aachen University. The focus is put on the implementation of the NN module for training neural network acoustic models. We describe code design, configuration, and features of the NN module. The key feature is a high flexibility regarding the network topology, choice of activation functions, training criteria, and optimization algorithm, as well as a built-in support for efficient GPU computing. The evaluation of run-time performance and recognition accuracy is performed exemplary with a deep neural network as acoustic model in a hybrid NN/HMM system. The results show that RASR achieves a state-of-the-art performance on a real-world large vocabulary task, while offering a complete pipeline for building and applying large scale speech recognition systems.
Testing .NET Code with YETI

Testing code is one of the central techniques for quality assessment of code. Generating test cases manually, however, is costly and inherently biased by the human point of view. While this might not be an issue for end-user code, it is problematic for developing libraries. The York Extendible Testing Infrastructure (YETI) is an automated random testing infrastructure supporting multiple programming languages (Java, JML, and . NET). It tests code at random and decouples the engine from the strategies and the language used. This article presents the . NET binding.
Decoupling Economic Growth and Environmental Degradation: Reviewing Progress to Date in the Small Island State of Malta

This paper considers the challenge of decoupling economic growth from environmental degradation; in contrast to several large-scale cross-country analyses that focus on limited indicators of environmental degradation, we analyze in some depth the experience of a single small-scale island state setting (Malta). We use available statistical data to derive decoupling factors, in order to consider the extent to which decoupling has been achieved in four sectors: (i) energy intensity, climate change, and air quality; (ii) water; (iii) waste; and (iv) land. Results indicate relative decoupling between economic growth and several indicators considered, and to a lesser extent, relative decoupling between population growth and the same indicators of environmental pressure. Absolute decoupling has been achieved in at least one instance but there has been no decoupling of land development from either economic or population growth. Land use and population thus appear to be notable sources of pressure. The results suggest that decoupling analyses that present environmental degradation in terms of single variables (e.g., carbon emissions) may misrepresent somewhat the state of the environment at local level. Furthermore, the study highlights the need for methodologies that factor in the “embedding” of small-scale settings within much larger trade networks, for a more accurate estimation of environmental impact, and points to some limitations of solely quantitative analyses of environment-ecology relationships.
Analysis and identification of human scream: implications for speaker recognition

In this paper, we present analysis of the characteristics of scream to identify its discriminating features from neutral speech. The impact of screaming on the performance of text independent speaker recognition systems has also been reported. We have observed that speaker recognition systems are not reliable when tested with scream. Also perceptual listeners test reveal that the speaker content in scream is very less for human to distinguish and classify it. This analysis will be useful for development of robust speaker recognition systems and their implementation in real-time situations
A Computerized Version of the Scrambled Sentences Test

The scrambled sentences test (SST), an experimental procedure that involves participants writing down their cognitions, has been used to elicit individual differences in depressiveness and vulnerability to depression. We describe here a modification of the SST to adapt it to computerized administration, with a particular view of its use in large samples and functional neuroimaging applications. In a first study with the computerized version, we reproduce the preponderance of positive cognitions in the healthy and the inverse association of these cognitions with individual measures of depressiveness. We also report a tendency of self-referential cognitions to elicit higher positive cognition rates. In a second study, we describe the patterns of neural activations elicited by emotional and neutral sentences in a functional neuroimaging study, showing that it replicates and extends previous findings obtained with the original version of the SST. During the formation of emotional cognitions, ventral areas such as the ventral anterior cingulus and the supramarginal gyrus were relatively activated. This activation pattern speaks for the recruitment of mechanisms coordinating motivational and associative processes in the formation of value-based decisions.
Web service access management for integration with agent systems

The agent paradigm includes the notion that agents interact with services. This paper identifies the need for controlled access to such services, from the perspective of agent systems (and not as is generally the case by web service providers). Mediating between web service requests from (virtual) organizations of agents, the web service gateway proposed regulates (i.e., monitors and controls) web service access according to the SLAs and organizational policies that are in effect. In addition to a model for web service access regulation, an implementation of a middleware component for web services access regulation based on SOAP and described in WSDL is presented.
Cpd-1 Null Mice Display a Subtle Neurological Phenotype

Background CPD1 (also known as ANP32-E) belongs to a family of evolutionarily conserved acidic proteins with leucine rich repeats implicated in a variety of cellular processes regulating gene expression, vesicular trafficking, intracellular signaling and apoptosis. Because of its spatiotemporal expression pattern, CPD1 has been proposed to play an important role in brain morphogenesis and synaptic development. Methodology/Principal Findings We have generated CPD1 knock-out mice that we have subsequently characterized. These mice are viable and fertile. However, they display a subtle neurological clasping phenotype and mild motor deficits. Conclusions/Significance CPD1 is not essential for normal development; however, it appears to play a role in the regulation of fine motor functions. The minimal phenotype suggests compensatory biological mechanisms.
VAMP7 Modulates Ciliary Biogenesis in Kidney Cells

Epithelial cells elaborate specialized domains that have distinct protein and lipid compositions, including the apical and basolateral surfaces and primary cilia. Maintaining the identity of these domains is required for proper cell function, and requires the efficient and selective SNARE-mediated fusion of vesicles containing newly synthesized and recycling proteins with the proper target membrane. Multiple pathways exist to deliver newly synthesized proteins to the apical surface of kidney cells, and the post-Golgi SNAREs, or VAMPs, involved in these distinct pathways have not been identified. VAMP7 has been implicated in apical protein delivery in other cell types, and we hypothesized that this SNARE would have differential effects on the trafficking of apical proteins known to take distinct routes to the apical surface in kidney cells. VAMP7 expressed in polarized Madin Darby canine kidney cells colocalized primarily with LAMP2-positive compartments, and siRNA-mediated knockdown modulated lysosome size, consistent with the known function of VAMP7 in lysosomal delivery. Surprisingly, VAMP7 knockdown had no effect on apical delivery of numerous cargoes tested, but did decrease the length and frequency of primary cilia. Additionally, VAMP7 knockdown disrupted cystogenesis in cells grown in a three-dimensional basement membrane matrix. The effects of VAMP7 depletion on ciliogenesis and cystogenesis are not directly linked to the disruption of lysosomal function, as cilia lengths and cyst morphology were unaffected in an MDCK lysosomal storage disorder model. Together, our data suggest that VAMP7 plays an essential role in ciliogenesis and lumen formation. To our knowledge, this is the first study implicating an R-SNARE in ciliogenesis and cystogenesis.
Bio-inspired polyethylene-based composite reinforced by thermoplastic polyurethane (TPU) fiber for aerogel production

A nanocomposite strategy for the selective inclusion of viscoelastic silica modified polyethylene (Si-PE) into thermoplastic polyurethane (TPU) fiber junctions is demonstrated to create effective stress-transfer pathways within three-dimensional (3-D) fiber-reinforced modified polyethylene-based composites with a phenomenal thermal insulation properties. Inspired by the bone architecture in the human body, large amounts of hard segments and small amounts of soft segments, the 3-D interconnected Si-PE w/25% TPU composite achieves synergistic strengthening. The composite is prepared by a wet chemical synthesis approach, a sol–gel reaction, with operation procedure of functional polyethylene while incorporating TPU fiber phase. The solution containing polyethylene precursor initiates network formation throughout the liquid to form a 3-D network (the gel) through chain polymerization. The obtained functional polyethylene-based gel reinforced with TPU fibers is then left to be aged stimulated by time and temperature for structure completion. By the end of aging process, the solvent is extracted from the gels through supercritical drying technique. The remained obtained solid structure is the Si-PE w/TPU composite nanocellular foam called aerogel. The resulting Si-PE w/25% TPU composite aerogel exhibited fully structural deformations and compressive mechanical strength (17.68 MPa at a compressive strain of 90%) at one compression cycle while showing an extremely great thermal stability up to 500 °C. Owing to the combination of excellent mechanical strength and thermal stability properties, the Si-PE w/25% TPU composite can be used as thermal insulation material for strain sensors, showing very short response and load bearing with reliable sensitivity and extreme durability. Such bio-inspired architecture opens the door to fabricate new 3-D-multifunctional and mechanically durable nanocomposite for thermal insulation products and strong partially-flexible devices.A nanocomposite strategy for the selective inclusion of viscoelastic silica modified polyethylene (Si-PE) into thermoplastic polyurethane (TPU) fiber junctions is demonstrated to create effective stress-transfer pathways within three-dimensional (3-D) fiber-reinforced modified polyethylene-based composites with a phenomenal thermal insulation properties. Inspired by the bone architecture in the human body, large amounts of hard segments and small amounts of soft segments, the 3-D interconnected Si-PE w/25% TPU composite achieves synergistic strengthening. The composite is prepared by a wet chemical synthesis approach, a sol–gel reaction, with operation procedure of functional polyethylene while incorporating TPU fiber phase. The solution containing polyethylene precursor initiates network formation throughout the liquid to form a 3-D network (the gel) through chain polymerization. The obtained functional polyethylene-based gel reinforced with TPU fibers is then left to be aged stimulated by time and tempe.