Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence for Water-Tuned Structural Differences in Proteins: An Approach Emphasizing Variations in Local Hydrophilicity

We present experimental evidence for the significant effect that water can have on the functional structure of proteins in solution. Human (HSA) and Bovine Serum Albumin (BSA) have an amino acid sequence identity of 75.52% and are chosen as model proteins. We employ EPR-based nanoscale distance measurements using double electron-electron resonance (DEER) spectroscopy and both albumins loaded with long chain fatty acids (FAs) in solution to globally (yet indirectly) characterize the tertiary protein structures from the bound ligands’ points of view. The complete primary structures and crystal structures of HSA and as of recently also BSA are available. We complement the picture as we have recently determined the DEER-derived solution structure of HSA and here present the corresponding BSA solution structure. The characteristic asymmetric FA distribution in the crystal structure of HSA can surprisingly be observed by DEER in BSA in solution. This indicates that the BSA conformational ensemble in solution seems to be narrow and close to the crystal structure of HSA. In contrast, for HSA in solution a much more symmetric FA distribution was found. Thus, conformational adaptability and flexibility dominate in the HSA solution structure while BSA seems to lack these properties. We further show that differences in amino acid hydropathies of specific structural regions in both proteins can be used to correlate the observed difference in the global (tertiary) solution structures with the differences on the primary structure level.
Efficient homology computations on multicore and manycore systems

Homology computations form an important step in topological data analysis that helps to identify connected components, holes, and voids in multi-dimensional data. Our work focuses on algorithms for homology computations of large simplicial complexes on multicore machines and on GPUs. This paper presents two parallel algorithms to compute homology. A core component of both algorithms is the algebraic reduction of a cell with respect to one of its faces while preserving the homology of the original simplicial complex. The first algorithm is a parallel version of an existing sequential implementation using OpenMP. The algorithm processes and reduces cells within each partition of the complex in parallel while minimizing sequential reductions on the partition boundaries. Cache misses are reduced by ensuring data locality for data in the same partition. We observe a linear speedup on algebraic reductions and an overall speedup of up to 4.9× with 16 cores over sequential reductions. The second algorithm is based on a novel approach for homology computations on manycore/GPU architectures. This GPU algorithm is memory efficient and capable of extremely fast computation of homology for simplicial complexes with millions of simplices. We observe up to 40× speedup in runtime over sequential reductions and up to 4.5× speedup over REDHOM library, which includes the sequential algebraic reductions together with other advanced homology engines supported in the software.
The development of a measure of root awareness to account for reading performance in the Arabic language: A development and validation study

ABSTRACT Morphological awareness (MA) is an important predictor of reading outcomes in different languages. The consonantal root is a salient feature of Arabic lexical structure and critical to MA. The goals of this study were to (a) develop a measure of root awareness (RA) as one dimension of MA in Arabic, and (b) validate the RA measure by predicting reading outcomes in an Arabic population. A set of RA items was administered to 194 Arabic-speaking third-grade children. A one-factor model was specified using confirmatory factor analysis to examine the model fit of the RA measure. A structural equation model was then developed to examine the relation between the RA measure and important reading outcome measures including word reading, reading fluency, and reading comprehension. The results of these analyses indicated good model fit, and the RA measure accounted for a substantial portion of the variance in the outcomes. The establishment of the RA measure is an important preliminary step to efficiently assessing MA in Arabic and could serve as an integral tool for studying reading development.
Honor Killing Attitudes Among San Jose State University Students

This study examines honor killing attitudes amongst a sample of sixty graduate and undergraduate students in the Department of Justice Studies at San Jose State University and offers a systematic review of published academic literature on honor killings. It hypothesizes that students who strongly adhere to patriarchal traditionalism are more likely to endorse legitimacy of honor killings, controlling for gender, education, family size, religion, religiosity/religious conviction, and female chastity expectations. Descriptive findings suggest that the majority of respondents disagree that honor murders are justified, regardless of circumstances, dependent variable honor killing attitudes. Respondents also report negative attitudes toward authority and obedience, resistance to change, and patriarchal entitlements, independent variable patriarchal traditionalism. Female respondents report stronger opposition to honor killings and patriarchal traditionalism than males, which is in agreement with results of existing research; respondents’ gender explains some of the variance in attitudes toward honor killings. The study’s limited sampling parameters do not allow for generalization of calculated statistical data and results. Implications and further research suggestions are discussed.
The Open University ’ s repository of research publications and other research outputs Understanding and Supporting Emerging Domestic Energy Practices Conference Item

The current transformation of the domestic energy landscape, including local generation, new consumption and storage, requires rethinking our research approach. This paper reports experiences from two case studies with their implications for future HCI research in the home. Introduction The home energy environment, as part of the smart grid implementation, is starting a deep mutation: (i) householders have started generating their own electricity, (ii) new high electrical demand appliances have appeared such as heat pumps and electric vehicles, significantly increasing consumption, and (iii) domestic electricity storage is now commercially available. These transformations will result in both the challenge of increasing the complexity and the opportunity of closing the gap between producer and consumer – thus making energy more tangible for householders. The increasing evidence of emerging energy behaviors in a domestic context requires us to rethink both how we investigate energy in the home and our approach to contributions to address climate change. In this paper we report on our experience in studying emerging domestic energy practices. We briefly review existing HCI research in home relating to energy. Then, we present two case studies – that of doing laundry and driving an electric vehicle – in the context of domestic solar electricity generation. Finally, we discuss the implications for the domestic energy and HCI research. Jacky Bourgeois
An integrative computational model for intestinal tissue renewal

Objectives: The luminal surface of the gut is lined with a monolayer of epithelial cells that acts as a nutrient absorptive engine and protective barrier. To maintain its integrity and functionality, the epithelium is renewed every few days. Theoretical models are powerful tools that can be used to test hypotheses concerning the regulation of this renewal process, to investigate how its dysfunction can lead to loss of homeostasis and neoplasia, and to identify potential therapeutic interventions. Here we propose a new multiscale model for crypt dynamics that links phenomena occurring at the subcellular, cellular and tissue levels of organisation.
Coordination Protocols of Multiple Actuator Nodes in a Multi-Actuator/Multi-Sensor Model

In a wireless sensor and actuator network (WSAN), a group of sensor, actuator, and actuation device nodes are interconnected in wireless networks. Sensor nodes send sensed values of an event to actuator nodes. Messages may be lost due to collision and noise and nodes may be faulty. Here, actuator nodes have to perform appropriate actions on actuation devices on receipt of sensed values from sensor nodes in presence of node and network faults. In the multi-actuator/multi-sensor (MAMS) model, each sensor node sends sensed values to multiple actuators and each actuator node receives sensed values from multiple sensor nodes. Even if messages are lost and some number of sensor and actuator nodes are faulty, actuator nodes can surely receive sensed values required to make a decision. In this paper, we discuss how multiple actuator nodes cooperate to receive sensed values and perform actions on actuation devices. We discuss active, semi-active, passive, and semi-passive coordination protocols for multiple actuators. We evaluate the semi-passive coordination protocol in terms of the number of messages exchanged among actuators.
Analysis of networking mode caused by GOOSE delay of smart substation

Based on the IEC61850 standard, real-time reliable data transmission is an important content of the intelligent substation process bus communication. All of control, protection and current voltage signals in the intelligent substation are transferred in a network. Communication network as information exchange hub of the intelligent substation, the performance of system network for control and protection system function has played a decisive role. That is the foundation for safe, reliable operation of the intelligent substation. This paper analyzes the network transmission characteristics of GOOSE, the requirements of network switch and tests the performance of system network. This paper studies the transmission delay, store-and-forward delay, switch delay, queuing delay. According to the network flow, this paper analyzes quantitatively network delay which effects on the performance of the intelligent substation, calculates the total delay, verifies the validity, rationality of the GOOSE network trip method.
Novel approach for signal selection and optimal control in emerging Wide Area monitored systems

This paper presents a novel scheme for selection of signals for Wide area monitoring and control of power system. The twin problem of placement of Phasor Measurement Units (PMU) for observability and placement of dynamic controllers for controllability are solved separately using different techniques. The selected signals are applied as input and output respectively for the centralized Wide area controller. A Principal Component Analysis (PCA) based coherency identification method has been adopted for selection of signals for observability, while a novel attempt has been made to apply the method of dimension reduction by Sequential Orthogonalisation (SO) for the selection of signals for controllability. A simple damping controller circuit that takes inputs from wide area signals is considered for controlling the inter-area oscillatory modes using the conventional power system controllers. The objective of the study is to determine the applicability and effectiveness of existing traditional damping devices with Wide Area inputs, in complex power systems such as Indian grid, with only traditional controllers. The focus of this study is on inter-area oscillatory modes, for which the modified 39-bus New England Test System (NETS) has been taken as test case. A large number of operating conditions have been considered for simulations, and the results show that the proposed scheme provides marked improvement in the damping performance of the system.
Degree of Inconsistency: Iterative localization with error control

A novel iterative localization algorithm based on Particle Filter with error control is proposed in this paper. First, each node's location is estimated by a cloud of particles and their weights. Second, Degree of Inconsistency(DoI) is proposed to detect the nodes with high error. DoI makes full use of the fact that node density is high and they are randomly and uniformly distributed. The nodes with large error could be gradually identified by DoI and their estimated locations are then updated wisely to get higher accuracy. The proposed algorithm only needs local information and it is implemented in a distributive way. Simulation results show that the proposed error control strategy can solve error propagation problem successfully and provide relative high accuracy, especially in network with high ranging error and low beacon density.
Gossip based streaming

In this paper, we propose a novel multicast streaming protocol foroverlay networks, called Gossip Based Streaming (GBS). In GBS,streaming contents are not come from a single upstream source,but delivered from several sources to a client. Though being similarto existing gossip protocols, the unique requirements forstreaming, such as continuous playback, are addressed in our design.Preliminary results show that GBS performs much better indynamic user environments.
PENGGUNAAN SOSIAL MEDIA WHATSAPP PENGARUHNYA TERHADAP DISIPLIN BELAJAR PESERTA DIDIK PADA MATA PELAJARAN PENDIDIKAN AGAMA ISLAM (Studi Kasus Di SMK Analis Kimia YKPI Bogor)

Abstrak Penelitian ini membahas tentang penggunaan sosial media Whatsapp pengaruhnya terhadap disiplin belajar peserta didik pada mata pelajaran Pendidikan Agama Islam. Penelitian ini dilakukan di SMK Analis Kimia YKPI Bogor. Peneliti mengidentifikasi masalah penelitian terkait penggunaan sosial media watshapp pengaruhya terhadap disiplin belajar peserta didik pada mata pelajaran Pendidikan Agama Islam. Kajian ini dilatar belakangi oleh banyaknya peserta didik yang mempunyai sosial media whatsapp yang terinstal dalam smartphone dan selalu membawanya kemanapun mereka pergi termasuk di lingkungan sekolah. Tujuan dari penelitian ini adalah untuk mengetahui ada tidaknya pengaruh penggunaan sosial media whatsapp terhadap disiplin belajar peserta didik pada mata pelajaran Pendidikan Agama Islam. Pendekatan yang digunakan adalah kuantitatif dengan metode eksperimen dan survey, teknik pengumpulan data menggunakan angket dari jumlah populasi 320 peserta didik. Sampel yang dijadikan objek penelitian sebanyak 57 orang dengan teknik random sampling menggunakan rumus Slovin. Unit analisis adalah peserta didik Tahun Pelajaran 2016/2017. Teknik analisis yang digunakan adalah analisis jalur ( path analysis ) yaitu analisis statistik deskriptif dan inferensial. Dari hasil penelitian teridentifikasi bahwa penggunaan sosial media whatsapp berpengaruh positif terhadap disiplin belajar peserta didik pada mata pelajaran Pendidikan Agama Islam. Terdapat korelasi antara variabel X dan variabel Y bertanda positif dengan memperhatikan besarnya rXY yang diperoleh yaitu sebesar 0,921. Kemudian pada taraf signifikan 5% diperoleh nilai r tabel sebesar 0,266 dan pada taraf signifikan 1% diperoleh nilai sebesar 0,345 ternyata rxy yang besarnya 0,921 adalah jauh lebih tinggi daripada r tabel yang besarnya 0,266 dan 0,345. Nilai R Square (R 2 ) sebesar 0,848 menunjukkan peningkatan disiplin belajar dapat dipengaruhi oleh penggunaan sosial media whatsapp sebesar 84,8% dan sisanya dipengaruhi oleh hal-hal lain diluar persamaan ini. Nilai t hitung sebesar 17,53 jika dikonsultasikan dengan t tabel α (0,05) dan α (0,01) dengan n = 57 mendekati nilai puluhan 60 diperoleh t tabel sebesar 1,671 dan 2,000. Diketahui t hitung > t tabel yaitu: 17,53 > 1,671 dan 2,000 maka H 0 ditolak. Ini menunjukkan adanya pengaruh yang signifikan antara variabel X terhadap variabel Y. Berdasarkan temuan penelitian ini, penulis merekomendasikan kepada pihak pengelola sekolah beserta dewan guru untuk berupaya meminimalisir penyalah gunaan sosial media whatsapp di kalangan peserta didik khususnya di lingkungan sekolah dan selalu berupaya menciptakan iklim pembelajaran yang kondusif sehingga penyelenggaraan program pendidikan di sekolah terwujudkan secara efektif sesuai visi dan misinya. Kepada para orang tua juga disarankan untuk membatasi sekaligus mengawasi anak-anaknya dalam menggunakan media sosial agar dapat meminimalisir penyalah-gunaannya. Keywords : Sosial Media Wathshapp , Disiplin Belajar.
Engineering microbial surfaces to degrade lignocellulosic biomass

Renewable lignocellulosic plant biomass is a promising feedstock from which to produce biofuels, chemicals, and materials. One approach to cost-effectively exploit this resource is to use consolidating bioprocessing (CBP) microbes that directly convert lignocellulose into valuable end products. Because many promising CBP-enabling microbes are non-cellulolytic, recent work has sought to engineer them to display multi-cellulase containing minicellulosomes that hydrolyze biomass more efficiently than isolated enzymes. In this review, we discuss progress in engineering the surfaces of the model microorganisms: Bacillus subtilis, Escherichia coli, and Saccharomyces cerevisiae. We compare the distinct approaches used to display cellulases and minicellulosomes, as well as their surface enzyme densities and cellulolytic activities. Thus far, minicellulosomes have only been grafted onto the surfaces of B. subtilis and S. cerevisiae, suggesting that the absence of an outer membrane in fungi and Gram-positive bacteria may make their surfaces better suited for displaying the elaborate multi-enzyme complexes needed to efficiently degrade lignocellulose.
‘Boys don’t rule us’: exploring Rwandan girls with disabilities’ resistance to masculine dominance in school

ABSTRACT This paper explores how economically disadvantaged girls with disabilities resist masculine domination at Rwanda’s largest inclusive school, Busengare Secondary. Based on 16 in-depth interviews and 3 focus group interviews with Rwandan girls with disabilities, this study draws on critical feminist perspectives to examine the subjectivities of girls with disabilities marginalised by virtue of their gender, class and disability. The findings reveal that girls with disabilities challenge the enduring power of masculine domination that seeks to limit their leadership and learning in classrooms through two distinct strategies: assertive resistance and subversive resistance. At its core, this paper exposes gendered structures of dominance among young people with disabilities not yet addressed in gender studies and disability studies scholarship in Rwanda.
Efficient and practical query scoping in sensor networks

We propose Voronoi scoping, a distributed algorithm to constrain the dissemination of messages from different sinks. It has the property that a query originated by a given sink is forwarded only to the nodes for which that sink is the closest (under the chosen metric). Thus each query is forwarded to the smallest possible number of nodes, and per-node dissemination overhead does not grow with network size or with number of sinks. The algorithm has a simple distributed implementation and requires only a few bytes of state at each node. Experiments over a network of 54 motes confirm the algorithm's effectiveness.
Research on synchronous control of nodes in distributed network system

The distributed network systems have been used widely in complicated electric drive and Mecatronics control systems. The research on synchronization control of distributed network nodes has been a hot point. This paper focuses on the hot point, synchronization environment and synchronization object are discussed firstly. And then, the concepts of activating and deactivating to the program of network nodes are proposed. In order to solve the problem of isochronous data sampling or isochronous drive output, we propose a novel kind of control idea of synchronization, which include dividing slavepsilas main loop program into several processes and adopting twice trigger signals to activate synchronization control. Besides, we analyze the time characteristics of synchronous executing of nodes. Finally, we make a dissection to the realization method of synchronization control in PROFIBUS-DP master-slave network system, and discuss briefly their conditionality in actual application. By compiling application program according to idea proposed by this paper, high isochronous control demand can be satisfied for distributed nodes in many cases.
A Provisioning Approach of Cloud Resources for Dynamic Workflows

Workflow technologies have become an efficient mean for the development of different applications. One well known challenge for executing workflows on cloud computing is the resources provisioning. The latter consists in making an appropriate decision when mapping tasks to resources considering multiple objectives that are often contradictory. The problem of resources provisioning for workflow applications in the cloud has been widely studied in the literature. However, the existing works didn't consider the change in workflow instances at runtime. This functionality has become a major requirement to deal with unusual situations and evolutions. In this paper, we present a first step towards the resources provisioning for a dynamic workflow in the cloud. In fact, we propose a provisioning algorithm which takes into account some constraints. After that, we extend it in order to support the dynamic changes of workflow. Our algorithm is evaluated using CloudSim simulator. The different experiments that we present show the efficiency of our approach in terms of financial execution cost and overhead.
Introduction: heritage and revolution – first as tragedy, then as farce?

ABSTRACT If a revolution is taken to be a decisive break with the past, how can there be a heritage of revolution? Conversely, how does any revolution affect tangible and intangible heritage, as well as shifting conceptions of heritage? In this introduction to four papers dedicated to the theme of ‘Heritage and Revolution’, we provide an overview of changing conceptualizations of both ideas and how they have shaped each other since the French Revolution first radically changed both. This special section’s papers developed from the 2017 Annual Seminar of the Cambridge Heritage Research Group. 2017, as the centenary of the February and October Russian Revolutions, provided a global opportunity for reflection on these themes and for analysis of how contemporary heritagization of revolution (or lack thereof) molds and is molded by a society’s conception of itself and its past. At at time of shifting political and heritage paradigms worldwide, this topic remains timely and fascinating.
A bidirectional associative memory based on cortical spiking neurons using temporal coding

In this paper, we present a spiking bidirectional associative memory (BAM) with temporal coding. The coding scheme used in artificial neural networks (ANN) known as “mean firing rate” cannot comply with the fast and complex computations occurring in the cortex. In biological neural networks the information is coded and processed based on the timing of action potentials. To improve the biological plausibility of the standard BAM, we employ spiking neurons for its processing units, and information is presented to the model in the form of temporal coding. The neurons used in the model are heterogeneous, and capable to generate various spike-timing patterns. Genetic Algorithm and Co-evolution are used for training, and the experimental results of the proposed BAM are compared to those of the standard BAM. The results show improvements in recall, storage capacity and convergence which are of interest to design a BAM.