Miracle-dz/UniFAR-FTUs huggingface dataset:
Metagenome-assembled Genomes from the Mediterranean Sea : Ongoing Effort to 1 Generate Genomes from the Tara Oceans Dataset 2 3 Authors 4

13 The Tara Oceans Expedition has provided large, publicly-accessible microbial metagenomic 14 datasets from a circumnavigation of the globe. Utilizing several size fractions from the samples 15 originating in the Mediterranean Sea, we have used current assembly and binning techniques to 16 reconstruct 290 putative high-quality metagenome-assembled bacterial and archaeal genomes, 17 with an estimated completion of ≥50%, and an additional 2,786 bins, with estimated completion 18 of 0-50%. We have submitted our results, including initial taxonomic and phylogenetic 19 assignments for the putative high-quality genomes, to open-access repositories (iMicrobe and 20 FigShare) for the scientific community to use in ongoing research. 21 22 Introduction 23 Microorganisms are a major constituent of the biology within the world's oceans and act as the 24 important linchpins in all major global biogeochemical cycles 1. Marine microbiology is among 25 the disciplines at the forefront of pushing advancements in understanding how microorganisms 26 respond to and impact the local and large-scale environments. An estimated 10 29 Bacteria and 27 Archaea 2 reside in the oceans and an immense amount of poorly constrained, and ever evolving 28 genetic diversity. 29 The Tara Oceans Expedition (2003-2010) encompassed a major endeavor to add to the 30 body of knowledge collected during previous global ocean surveys to sample the genetic 31 potential of microorganisms 3. To accomplish this goal, members of Tara Oceans sampled 32 planktonic organisms (viruses to fish larvae) at two major depths, the surface ocean and the 33 mesopelagic. The amount of data collected was expansive and included 35,000 samples from 34 210 ecosystems 3. The Tara Oceans Expedition generated and publically released 7.2 Tbp of 35 metagenomic data from 243 ocean samples from throughout the global ocean, specifically 36 targeting the smallest members of the ocean biosphere, the viruses, Bacteria and Archaea, and 37 picoeukaryotes 4. Initial work on these fractions produced a large protein database, totaling > 40 38 million nonredundant protein sequences and identified >35,000 microbial operational taxonomic 39 units (OTUs) 4. 40 Leveraging the publically available metagenomic sequences from the " girus " (giant virus; 41 0.22-1.6 µm), " bacteria " (0.22-1.6 µm), and " protist " (0.8-5 µm) size fractions, we have 42 performed a new joint assembly of these samples using current sequence assemblers (Megahit 5) 43 and methods (combining assemblies from multiple sites using Minimus2 6). These metagenomic 44 assemblies were binned using a strictly coverage based …
A step towards the linking of the Culture Heritage in the Egyptian museums

Although Culture Heritage is considered one of the domains that attract researchers from different disciplines, however, there is a lack of semantic meaning and interoperability between different heterogeneous sources that have different structures, stored in different formats and placed in different geographical locations. In addition to that, most of the datasets are available in spreadsheet format. The paper on hands aims to improve the semantic mapping of different datasets belonging to the Egyptian museums via proposing and implementing an architecture that enriches these datasets via applying of Linked Open Data techniques depending on two different mapping methodologies; they are CIDOC-CRM and R2RML, showing that they giving better results instead of using each one separately.
PERFORMANCE OF COOPERATIVE DIVERSITY IN COGNITIVE RELAY NETWORKS

In a network with dynamic spectrum access, secondary users equipped with frequency-agile cognitive radios communicate with one another via spectrum that is not being used by the primary users or licen sed users of the spectrum . We consider a scenario in w hich a secondary transmitter can communicate wit h a secondary receiver via a direct communication link or a relay channel. Cooperative relay communicatio ns or cooperative diversity has received a lot of atte ntion in recent years. Two well known cooperative strategies are known as Amplify And Forward (AAF) and Decode And Forward (DAF). In this paper, the AAF strategy will be considered, which achieves div ersity by using Maximal Ratio Combining (MRC) and Fixed Ratio Combining (FRC) which is not clarified until now. From simulation results, we can conclude that using both of the direct and relay channels, the transmissions performance of the secondary sys tem can be improved significantly , Moreover, exploitin g cooperative spectrum sensing technique for applications in a relay based cognitive radio netw ork , it is seen that detection probability increas es by using relay channel . The best performance was achi eved when the relay is at equal distance from the sender and the destination or slightly closer to th e sender.
On the Size Dependence of the Inclination Distribution of the Main Kuiper Belt

We present a new analysis of the currently available orbital elements for the known Kuiper belt objects. In the nonresonant, main Kuiper belt, we find a statistically significant relationship between an object's absolute magnitude (H) and its inclination (i). Objects with H < 6.5 (i.e., radii ≳170 km for a 4% albedo) have higher inclinations than those with H > 6.5 (radii ≲170 km). We have shown that this relationship is not caused by any obvious observational bias. We argue that the main Kuiper belt consists of the superposition of two distinct distributions. One is dynamically hot, with inclinations as large as ∼35° and absolute magnitudes as bright as 4.5; the other is dynamically cold, with i ≲ 5° and H > 6.5. The dynamically cold population is most likely dynamically primordial. We speculate on the potential causes of this relationship.
Time-Critical Scheduling in Stochastic Domains

In this work we look at extending the work of (Dean et al. 1993) to handle more complicated scheduling problems in which the sources of complexity stem not only from large state spaces but from large action spaces as well. In these problems it is no longer tractable to compute optimal policies for restricted state spaces via policy iteration. We, instead, borrow from operations research in applying bottleneck-centered scheduling heuristics (Adams et al. 1988). Additionally, our techniques draw from the work of (Drummond and Bresina 1990).
Fast and lightweight support for nested parallelism on cluster-based embedded many-cores

Several recent many-core accelerators have been architected as fabrics of tightly-coupled shared memory clusters. A hierarchical interconnection system is used - with a crossbar-like medium inside each cluster and a network-on-chip (NoC) at the global level - which make memory operations non-uniform (NUMA). Nested parallelism represents a powerful programming abstraction for these architectures, where a first level of parallelism can be used to distribute coarse-grained tasks to clusters, and additional levels of fine-grained parallelism can be distributed to processors within a cluster. This paper presents a lightweight and highly optimized support for nested parallelism on cluster-based embedded many-cores. We assess the costs to enable multi-level parallelization and demonstrate that our techniques allow to extract high degrees of parallelism.
Conflict diagrams for cross-examination dialogues

ABSTRACT This paper builds a practical method of analyzing cross-examination dialogues by using tools adapted from formal dialectic and artificial intelligence to show how an argumentation model can shed new light on our understanding of actual cases of cross-examination in the common law courts. This is done by illustrating how the model brings out certain precise formal features of argumentative cross-examinations, which would otherwise be hidden from view. Cross-examination dialogue is further discussed in relation to ancient and contemporary approaches to formal dialectics.
Smart applications for energy harvested WSNs

A Wireless Sensor Network (WSN) powered using harvested energies is limited in its operation by instantaneous power. Since energy availability can be different across nodes in the network, network setup and collaboration is a non trivial task. At the same time, in the event of excess energy, exciting node collaboration possibilities exist; often not feasible with battery driven sensor networks. Operations such as sensing, computation, storage and communication are required to achieve the common goal for any sensor network. In this paper, we design and implement a smart application that uses a Decision Engine, and morphs itself into an energy matched application. The results are based on measurements using IRIS motes running on solar energy. We have done away with batteries; instead used low leakage super capacitors to store harvested energy. The Decision Engine utilizes two pieces of data to provide its recommendations. Firstly, a history based energy prediction model assists the engine with information about in-coming energy. The second input is the energy cost database for operations. The energy driven Decision Engine calculates the energy budgets and recommends the best possible set of operations. Under excess energy condition, the Decision Engine, promiscuously sniffs the neighborhood looking for all possible data from neighbors. This data includes neighbor's energy level and sensor data. Equipped with this data, nodes establish detailed data correlation and thus enhance collaboration such as filling up data gaps on behalf of nodes hibernating under low energy conditions. The results are encouraging. Node and network life time of the sensor nodes running the smart application is found to be significantly higher compared to the base application.
The Effect of Entrepreneurship Education on Entrepreneurial Intention Mediated by Motivation and Attitude among Management Students, State University of Malang, Indonesia

This research investigates the effect of entrepreneurship education on entrepreneurial intention among college students enrolling in the Department of Management, Faculty of Economics, State University of Malang. The research employed descriptive correlational design, and a number of 230 students are taken proportionate randomly as sample from 540 students enrolled in three study programs. Path analysis utilizing LISREL 8.50 for windows is used to examine relationships among variables. Research finding revealed that entrepreneurial intention is indirectly affected by entrepreneurship education, meaning that students’ entrepreneurial motivation and attitude are two important mediating variables.
The Creation of Effective Property Rights

Traditionally, general-equilibrium models have taken effective property rights to be given and have been concerned only with analysing the allocation of resources among productive uses and the distribution of the resulting product. But, this formulation of the economic problem is incomplete because it neglects that the appropriative activities by which people create the effective property rights that inform allocation and distribution are themselves an alternative use of scarce resources.This paper develops two canonical general-equilibrium models of resource allocation and income distribution that allow for the allocation of time and effort to the creation of effective property rights to valuable resources. In one model the valuable resources are initially in a common pool. In the other model agents initially have nonoverlapping claims to the valuable resources. For both models the analysis reveals how the amount of time and effort that agents allocate to the creation of effective property rights, rather than to production,depends on the environment for creating effective property rights, on the technology of production, and on the scale of the economy. The paper also analyses the security of initial claims to valuable resources and speculates about why initial claims sometimes are perfectly secure.
Analyzing Bounding and Galloping Using Simple Models

This paper focuses on modeling the gait characteristics of a quadrupedal gallop. There have been a number of studies of the mechanics of the stance phase in which a foot is in contact with the ground. We seek to put these studies in the context of the stride, or overall motion cycle. The model used is theoretical, and is kept simple in the interest of transparency. It is compared to empirical data from observations of animals, and to data from experiments with robots such as our KOLT machine, and results from sophisticated simulation studies. Modeling of the energy loss inherent in the interaction between the system and the environment plays a key role in the study. Results include the discovery of a hidden symmetry in the gait pattern, usually regarded as being completely asymmetrical. Another result demonstrates that the velocities with which the two front feet impact and leave the ground are different, and similarly for the rear feet. The velocities of the foot pairs mirror each other. This is consistent with empirical observation, but is at variance with the assumption used almost universally when modeling stance. A further result elicits the importance of the pitch moment of inertia and other effects that make the mammalian architecture, in which the center of mass is closer to the shoulders than to the hips, beneficial.
Crystal cataracts: Human genetic cataract caused by protein crystallization

Several human genetic cataracts have been linked recently to point mutations in the γD crystallin gene. Here we provide a molecular basis for lens opacity in two genetic cataracts and suggest that the opacity occurs because of the spontaneous crystallization of the mutant proteins. Such crystallization of endogenous proteins leading to pathology is an unusual event. Measurements of the solubility curves of crystals of the Arg-58 to His and Arg-36 to Ser mutants of γD crystallin show that the mutations dramatically lower the solubility of the protein. Furthermore, the crystal nucleation rate of the mutants is enhanced considerably relative to that of the wild-type protein. It should be noted that, although there is a marked difference in phase behavior, there is no significant difference in protein conformation among the three proteins.
Effects of Dietary Coptis Chinensis Herb Extract on Growth Performance, Nutrient Digestibility, Blood Characteristics and Meat Quality in Growing-finishing Pigs

The effects of dietary Coptis chinensis herb extract (CHE) on growth performance, blood characteristics, nutrient digestibility and meat quality of growing-finishing pigs were investigated in an 18-wk feeding trial. A total of 36 Landrace×Yorkshire-Duroc pigs with an initial body weight of 20±1.0 kg were randomly assigned to 3 dietary treatments with 6 replications per treatment and 2 pigs per pen. A maize-soybean meal-based diet was formulated as a control diet and other treatment diets were supplemented with 0.5, or 1 g CHE/kg, respectively. After the feeding period, meat samples were collected from those pigs that had reached the market BW. During the experimental periods, growth performance and apparent total tract digestibility of dry matter and nitrogen were unaffected (p>0.05) by the dietary supplementation of CHE. Plasma erythrocytes counts were increased (Linearly, p<0.05) in response to application of CHE at the end of the experiment. Moreover, pigs fed the CHE diets had better (p<0.05) meat color, pH and water holding capacity (WHC) than pigs fed the control diet. In conclusion, dietary supplementation with CHE could increase blood erythrocytes counts and improve meat quality in growing-finishing pigs but not improve growth performance.
Analysis and Implementation of M-commerce in Education for Developing Countries (Uzbekistan case)

M-commerce is one of the ways IT can significantly contribute to boosting economy of the developing countries. M-commerce project has a high potential in the developing countries and especially in the case of Uzbekistan because it is very novice concept and most importantly it will enable payment for online services via mobile, using reverse billing. In addition, number of Internet and mobile users increase steadily each year in the republic. Due to the fact that main computer and internet literate audience in Uzbekistan is young people, a web portal providing youth appealing content, and at the same time taking advantage of mobile technologies would become a highly viable business idea. Therefore this study is aimed to evaluate mcommerce readiness in Tashkent, Uzbekistan. The evaluation has been undertaken from 2 perspectives: business and IT. Business aspect involved industry analysis, revenue model and demand analysis. IT research was carried out on methods to implement appropriate development approaches, resulting in selection of evolutionary prototyping combined with Web Site Design Method (WSDM) and methods to implement the SMS notification. The research undertaken allowed concluding that there is a high demand for a type of web portal proposed. This implies that given project has solid ground for success as both as a business idea and youth oriented web resource.
A Simple Software Application for Simulating Commercially Available Solar Panels

This article addresses the formulation and validation of a simple PC based software application developed for simulating commercially available solar panels. The important feature of this application is its capability to produce speedy results in the form of solar panel output characteristics at given environmental conditions by using minimal input data. Besides, it is able to deliver critical information about the maximum power point of the panel at a given environmental condition in quick succession. The application is based on a standard equation which governs solar panels and works by means of estimating unknown parameters in the equation to fit a given solar panel. The process of parameter estimation is described in detail with the aid of equations and data of a commercial solar panel. A validation of obtained results for commercial solar panels is also presented by comparing the panel manufacturers' results with the results generated by the application. In addition, implications of the obtained results are discussed along with possible improvements to the developed software application.
How CanWe Evaluate Object Recognition Algorithms Using a Public Object Image Database?

In this paper, to evaluate the performance of object recognition algorithms, we propose a new evaluation framework by synthesizing natural scenes based on the Amsterdam Library of Object Images [1]. Here, the evaluation of an object recognition algorithm has the basis on searching an object in a synthetic scene. More specifically, an object is selected, and then the synthetic scene under a specific condition is generated by using images, affected by that condition, of that object and other objects in the database. When generating the synthetic scene, the other objects are randomly selected and all objects are naturally distributed in the synthetic scene. Let us refer to this synthetic scene as a Virtual Scene. Then the performance of object recognition algorithms for the specific condition can be analyzed by using a group of Virtual Scenes in that condition. As an example of utilizing the proposed framework, an object recognition algorithm using the scale-invariant feature transform [2] has been evaluated and analyzed in the case of changing the viewing direction, illumination color, and illumination direction.
Structure and Function Analysis of LIN-14, a Temporal Regulator of Postembryonic Developmental Events in Caenorhabditis elegans

ABSTRACT During postembryonic development of Caenorhabditis elegans, the heterochronic gene lin-14 controls the timing of developmental events in diverse cell types. Three alternativelin-14 transcripts are predicted to encode isoforms of a novel nuclear protein that differ in their amino-terminal domains. In this paper, we report that the alternative amino-terminal domains of LIN-14 are dispensable and that a carboxy-terminal region within exons 9 to 13 is necessary and sufficient for in vivo LIN-14 function. A transgene capable of expressing only one of the three alternativelin-14 gene products rescues a lin-14 null mutation and is developmentally regulated by lin-4. This shows that the deployment of alternative lin-14 gene products is not critical for the ability of LIN-14 to regulate downstream genes in diverse cell types or for the in vivo regulation of LIN-14 level by lin-4. The carboxy-terminal region of LIN-14 contains an unusual expanded nuclear localization domain which is essential for LIN-14 function. These results support the view that LIN-14 controls developmental timing in C. elegans by regulating gene expression in the nucleus.
Efficient Task Partitioning and Scheduling for Thermal Management in Multicore Processors

Power and heat density of integrated circuits (ICs) are rising exponentially over the years. The overheating of ICs leads to higher cost of cooling and packaging as well as reliability concerns and shorter lifetime. While existing task-partitioning based approaches are promising for reducing peak temperature in uniprocessor systems, there are no previous efforts in exploring temperature-aware task partitioning in multicore architectures. In this paper, we propose a task partitioning and scheduling algorithm to reduce the hot-spot in multicore embedded systems running a set of independent tasks. Experimental results using real benchmarks show that our approach is able to reduce the peak temperature by as much as 4.52C compared to the stateof-the-art thermal-aware task scheduling algorithm PDTM [22] while requires 31% less time to finish all the tasks.
SLAM using Visual Scan-Matching with Distinguishable 3D Points

Scan-matching based on data from a laser scanner is frequently used for mapping and localization. This paper presents an scan-matching approach based instead on visual information from a stereo system. The scale invariant feature transform (SIFT) is used together with epipolar constraints to get high matching precision between the stereo images. Calculating the 3D position of the corresponding points in the world results in a visual scan where each point has a descriptor attached to it. These descriptors can be used when matching scans acquired from different positions. Just like in the work with laser based scan matching a map can be defined as a set of reference scans and their corresponding acquisition point. In essence this reduces each visual scan that can consist of hundreds of points to a single entity for which only the corresponding robot pose has to be estimated in the map. This reduces the overall complexity of the map. The SIFT descriptor attached to each of the points in the reference allows for robust matching and detection of loop closing situations. The paper presents real-world experimental results from an indoor office environment
Contrast and distribution based saliency detection in infrared images

Saliency-based approaches has been well studied and successfully used in object detection for visible images. However, few researches have been done for saliency detection in infrared images, which are characterized with low resolution, SNR and contrast, fuzzy edge and lack of color features. In this paper, a contrast and distribution based saliency detection approach is proposed for infrared images. First, we develop an enhanced multi-scale saliency feature by improving the quality and contrast of the image in frequency domain. Second, luminance-distribution and gradient feature are explored to highlight the object with great gradient and compact distribution. Finally, by integrating the above two features, the final saliency map for infrared image were obtained. Experimental results on real infrared images demonstrate the effectiveness of the proposed approach against the state-of-the-art algorithms.