Miracle-dz/UniFAR-FTUs huggingface dataset:
Graphical visualisation and domain partitioning of minerals in clay fraction of soils from Capricorn District, South Africa

Modeling techniques were used to study minerals in clay fraction of soils from Capricorn District Limpopo Province, South Africa. Minerals in the clay fraction of soils were identified by X-ray diffraction (XRD) technique and semi-quantified. The minerals were then subjected to a combination of exploratory data analysis (EDA), graphical visualisation and domain-partitioning techniques in order to determine their cross-influence to one another in terms of abundances. Quartz and kaolinite were major dominant minerals in the soils; smectite, feldspar and mica were in minor to trace quantities. Consensual associations among other traces and high quantities of minerals were detected. Evidence of relationship using EDA portrayed general skewness in favour of quartz and kaolinite. Quartz remained dominant in the soils but with a consistent high probability of co-existence with kaolinite. Where there is low quartz content, kaolinite increased with the drop in quartz made up for by a combination of smectite, mica and feldspar. The nested nature of interaction also revealed indirect relationship between quartz and mica. The tree model, which yielded 100% accuracy, showed smectite as the first important mineral in identifying whether there is high, medium or low quartz content in the sols. Down the line the model relies heavily on both mica and kaolinite. Collating the minerals contents and data modeling procedures, inter alia, it could be inferred that the weathering of feldspar and mica may have an impact on the mineralisation of kaolinite and smectite; which are both important minerals in several agricultural applications.
The best choice problem for random number of objects with a refusal probability

In this note, we will consider the best choice problem for random number of objects with a re- fusalprobability. TherearemanypapersandbooksonthissubjectfromChow/Robbibs/Siegmund(1971), Siryaev(1973) downward. These problems has been close relations with the martingale theory, the po- tential theory, the optimality principle in the mathematical programming. And now it is derived the optimal rule by using the sum-the-odds theorem. Refer to Ferguson(2006), Bruss(2003), Tamaki(2001), Hsiau/Yang(2000) etc. It would be prefered to call it the odds-theorem rather than the secretary prob- lem or the best choice nowdays. Here we adapt a classical analysis to obtain its optimal value for the problem on Markov processes. Firstly the formulation of stopping problem for Markov processes are given and its optimal equation of the value are designated. Since the secretary problem has a special transition probability, we show the optimal value is calculated as One-Look ahead policy or monotone stopping problem. Then it is treated asymptotically and solve the value in the explicitly form by a differential equation. Some equivalence relation is shown between the decision-theoretic form of the optimal equation and the transition probability with refusal. In the last, by a translation from the case of random number of objects to the standard form of optimal stopping problem, we could obtain the optimal value in the cited case of title. Also a variation for the selection is considered.
Recurrent Support Vector Machines

Existing Support Vector Machines (SVMs) need pre-wired finite time windo ws to predict and classify time series. They do not have an internal state necessary to deal with sequences involving arbitrary long-term dependencies. Here we introduce the first recurrent, truly s equential SVM-like devices with internal adaptive states, trained by a novel method called EVOlution of syste ms with KErnel-based outputs (Evoke), an instance of the recent Evolino class of methods [1, 2]. Ev oke evolves recurrent network-like structures to detect and represent temporal dependencies while using q adratic programming/support vector regression to produce precise outputs, in contrast to our recen t work [1, 2] which instead uses pseudoinverse regression. Evoke is the first SVM-based mechanism ble to learn to classify a contextsensitive language. It also outperforms recent state-of-the-art gr adient-based recurrent neural networks (RNNs) on various time series prediction tasks.
D3M: Distributed multi-cell multigroup multicasting

The paper studies the max-min fair multicast multigroup beamforming problem in a multi-cell environment, with perfect (instantaneous or statistical) Channel State Information (CSI). We propose a new general distributed algorithmic framework based on INner Convex Approximations (INCA): the nonsmooth NP-hard problem is replaced by a sequence of smooth strongly convex subproblems, which can be solved in a distributed fashion across the cells, with limited communication overhead. Differently from renowned semidefinite-relaxation-based schemes, the INCA algorithm is proved to always converge to a d-stationary solution of the aforementioned class of problems. Numerical results show that it compares favorably with state-of-the-art algorithms.
Performance of Wireless Mesh Networks with Three Sector Antenna

Wireless Mesh Networks (WMN) is an essential technology based on mobile ad hoc networks (MANETs). A three sector antenna system applied to WMN was proposed in early 2010, and system performance was analyzed. In this paper, we introduce a real-world three sector antenna system set up in the current WMN test bed in Niigata University, which employs IEEE 802.11 wireless LAN and supports multi-interface and multi-channel. Channel assignment is performed to the system, and two network patterns are acquired. A series of real-world single-flow and multi-flow throughput measuring experiments are performed to the two network patterns using three sector antenna system. The performance and characteristics of the system are discussed. The test bed node has the exchange function of three sector antenna and omni directional antenna. We discuss a preliminary comparison between the two antenna system. And the three sector antenna system achieves much better throughput performance than the omni directional antenna system on the basis of the one-hop throughput measuring experiment.
Robust Model Predictive Control and Distributed Model Predictive Control: Feasibility and Stability

An increasing number of applications ranging from multi-vehicle systems, largescale process control systems, transportation systems to smart grids call for the development of cooperative control theory. Meanwhile, when designing the cooperative controller, the state and control constraints, ubiquitously existing in the physical system, have to be respected. Model predictive control (MPC) is one of a few techniques that can explicitly and systematically handle the state and control constraints. This dissertation studies the robust MPC and distributed MPC strategies, respectively. Specifically, the problems we investigate are: the robust MPC for linear or nonlinear systems, distributed MPC for constrained decoupled systems and distributed MPC for constrained nonlinear systems with coupled system dynamics. In the robust MPC controller design, three sub-problems are considered. Firstly, a computationally efficient multi-stage suboptimal MPC strategy is designed by exploiting the j-step admissible sets, where the j-step admissible set is the set of system states that can be steered to the maximum positively invariant set in j control steps.
Extensive Field Survey, Laboratory and Greenhouse Studies Reveal Complex Nature of Pseudomonas syringae-Associated Hazelnut Decline in Central Italy

Pseudomonas avellanae (Pav) has been reported as the causal agent of bacterial decline and bacterial canker of hazelnut in Italy and Greece, respectively. Both hazelnut diseases were reported to be similar in terms of symptoms, severity and persistence. In this study, we found that both symptomatic and asymptomatic trees in the field were colonized by Pav. Multilocus Sequence Typing (MLST) analysis showed that Pav strains isolated during this study in Italy belong to the P. syringae phylogroup 1 and they are closely related to Pav strains previously isolated in Greece from hazelnut bacterial canker. On the other hand, strains isolated in earlier studies from hazelnut decline in Italy belong to both phylogroup 1 and 2 of P. syringae. Both phylogroup 1 strains of P. syringae from Greece and Italy are different than strains isolated in this study in terms of their capacity to excrete fluorescent pigments on different media. Despite the same plant genotype and cropping practices adopted, the incidence of hazelnut decline ranged from nearly 0 to 91% across our study sites. No disease developed on plants inoculated with Pav through wounding while leaf scar inoculations produced only mild disease symptoms. Based on our results and the previously reported correlation between pedo-climatic conditions and hazelnut decline, we conclude that hazelnut decline in central Italy could be incited by a combination of predisposing (adverse pedo-climatic conditions) and contributing factors (Pav). Because this is a true decline different from “bacterial canker” described in Greece, we refer to it as hazelnut decline (HD).
An 18.6Gb/s double-sampling receiver in 65nm CMOS for ultra-low-power optical communication

Using optics for chip-to-chip interconnects has recently gained a lot of interest. As data rates scale to meet increasing bandwidth requirements, the shortcomings of copper channels are becoming more severe. Hybrid integration of optical devices with electronics has been demonstrated to achieve high performance, and recent advances in silicon photonics have led to fully integrated optical signaling. These approaches pave the way to massively parallel optical communications. Dense arrays of optical detectors require very low-power, sensitive, and compact optical receiver circuits. Existing designs for the input receiver, such as TIA, require large power consumption to achieve high band width and low noise, and can occupy large area due to bandwidth-enhancement inductors. In this work, a compact low-power optical receiver that scales well with technology is designed to explore the potential of optical signaling for future chip-to-chip and on-chip communication.
Blood Pressure Measurements in 780 Apparently Healthy Cats

Background Mean systolic blood pressure in apparently healthy cats has been reported as approximately 125 mmHg using direct assessment, but there is greater variability in reported values using indirect assessment. Increasing age and the white‐coat effect are associated with increased systolic blood pressure. Hypothesis/Objectives To report Doppler‐derived blood pressure measurements from a large population of apparently healthy cats and to assess epidemiologic factors associated with recorded blood pressures. Animals A total of 780 cats in rehoming centers enrolled in a screening program for heart murmurs and cardiac disease. Methods Cats were considered healthy based on history and physical examination. Cats with known hypertension, hyperthyroidism, or clinical signs of systemic disease and pregnant or nursing queens were excluded. After an acclimatization period, systolic blood pressure was measured using the Doppler sphygmomanometry method following the recommendations of the ACVIM Consensus Statement. General linear model analysis was performed to identify factors associated with variation in systolic blood pressure. Results Median (interquartile range, IQR) systolic blood pressure for the group was 120.6 (110.4–132.4) mmHg. Factors significantly associated with higher systolic blood pressure in a general linear model were increased age, increased nervousness, male sex, neutering, or history of being a stray. The model explained 29.2% of the variation in systolic blood pressure. Conclusions and Clinical Importance The age, demeanor, sex, neuter status and history of being a stray should be taken into account when assessing systolic blood pressure in apparently healthy cats.
Efficient traffic crash and snow complaint GIS system

We describe the design and implementation of a traffic crash and snow complaint GIS system developed for the Lincoln Public Works department. We also describe a novel geocoding algorithm that was used to move data from the older Criminal Justice Information System, which is a relational database, to the new GIS system. In addition, we describe the implementation of several indexing algorithms that enable the system to efficiently answer rectangular range queries and queries about the relative locations of moving objects.
The Determinants of Earnings: A Behavioral Approach

We survey the determinants of earnings and propose a framework for understanding labor market success. We suggest that the advantages of the children of successful parents go considerably beyond the benefits of superior education, the inheritance of wealth, or the genetic inheritance of cognitive ability. We suggest that noncognitive personality variables, such as attitudes towards risk, ability to adapt to new economic conditions, hard work, and the rate of time preference affect both earning and the transmission of economic status across generations.
FreeQ: an interactive query interface for freebase

Freebase is a large-scale open-world database where users collaboratively create and structure content over an open platform. Keyword queries over Freebase are notoriously ambiguous due to the size and the complexity of the dataset. To this end, novel techniques are required to enable naive users to express their informational needs and retrieve the desired data. FreeQ offers users an interactive interface for incremental query construction over a large-scale dataset, so that the users can find desired information quickly and accurately.
Exploiting Tractable Fuzzy and Crisp Reasoning in Ontology Applications

The Semantic Web movement has led to the publication of thousands of ontologies online. These ontologies present and mediate information and knowledge on the Semantic Web. How to provide tractable reasoning services for fuzzy and crisp ontologies has been a pressing research problem over the last five years. In this paper, we present a reusable semantic infrastructure that comprises a tractable reasoning system TrOWL, an ontological search engine ONTOSEARCH2 and a folksonomy extension component Taggr. We show that such an infrastructure can be used to support different ontology applications with tractable reasoning services by making use of tractable profiles in OWL 2 and some of their fuzzy extension.
Thymosin Beta 4 Is Dispensable for Murine Cardiac Development and Function

Rationale: Thymosin beta 4 (T&bgr;4) is a 43–amino acid factor encoded by an X-linked gene. Recent studies have suggested that T&bgr;4 is a key factor in cardiac development, growth, disease, epicardial integrity, and blood vessel formation. Cardiac-specific short hairpin (sh)RNA knockdown of t&bgr;4 has been reported to result in embryonic lethality at E14.5–16.5, with severe cardiac and angiogenic defects. However, this shRNA t&bgr;4-knockdown model did not completely abrogate T&bgr;4 expression. To completely ablate T&bgr;4 and to rule out the possibility of off-target effects associated with shRNA gene silencing, further studies of global or cardiac-specific knockouts are critical. Objective: We examined the role of T&bgr;4 in developing and adult heart through global and cardiac specific t&bgr;4-knockout mouse models. Methods and Results: Global t&bgr;4-knockout mice were born at mendelian ratios and exhibited normal heart and blood vessel formation. Furthermore, in adult global t&bgr;4-knockout mice, cardiac function, capillary density, expression of key cardiac fetal and angiogenic genes, epicardial marker expression, and extracellular matrix deposition were indistinguishable from that of controls. Tissue-specific t&bgr;4-deficient mice, generated by crossing t&bgr;4-floxed mice to Nkx2.5-Cre and &agr;MHC-Cre, were also found to have no phenotype. Conclusions: We conclude that T&bgr;4 is dispensable for embryonic viability, heart development, coronary vessel development, and adult myocardial function.
Active Noise Suppression of SISO Model Using a Filtered X-LMS Algorithm

A filtered-X LMS algorithm is implemented for active noise control in free field, single channel adaptive proposed for one dimensional noise control, The single-channel algorithms is essentially extension by the sequential filtered-X LMS algorithm to the block case. Analytical results are given for the stability and convergence of the algorithm. Simulation results are also given to demonstrate the performance of the algorithm in single-channel noise cancellation. The error was converge after 3.3 sample periods
Linear Programming solvers for Markov Decision Processes

This paper describes linear programming solvers for Markov decision processes, as an extension to the JMDP program. JMDP is an object-oriented framework to model and solve Markov decision processes (MDP) programmed in Java. The developed solvers work for the discounted cost and average cost criteria. Our solvers are compared with existing value iteration and policy iteration solvers
Evaluation of 111In-Labeled Cyclic RGD Peptides: Effects of Peptide and Linker Multiplicity on Their Tumor Uptake, Excretion Kinetics and Metabolic Stability

Purpose: The purpose of this study was to demonstrate the valence of cyclic RGD peptides, P-RGD (PEG4-c(RGDfK): PEG4 = 15-amino-4,710,13-tetraoxapentadecanoic acid), P-RGD2 (PEG4-E[c(RGDfK)]2, 2P-RGD4 (E{PEG4-E[c(RGDfK)]2}2, 2P4G-RGD4 (E{PEG4-E[G3-c(RGDfK)]2}2: G3 = Gly-Gly-Gly) and 6P-RGD4 (E{PEG4-E[PEG4-c(RGDfK)]2}2) in binding to integrin αvβ3, and to assess the impact of peptide and linker multiplicity on biodistribution properties, excretion kinetics and metabolic stability of their corresponding 111In radiotracers. Methods: Five new RGD peptide conjugates (DOTA-P-RGD (DOTA =1,4,7,10-tetraazacyclododecane-1,4,7,10-tetracetic acid), DOTA-P-RGD2, DOTA-2P-RGD4, DOTA-2P4G-RGD4, DOTA-6P-RGD4), and their 111In complexes were prepared. The integrin αvβ3 binding affinity of cyclic RGD conjugates were determined by a competitive displacement assay against 125I-c(RGDyK) bound to U87MG human glioma cells. Biodistribution, planar imaging and metabolism studies were performed in athymic nude mice bearing U87MG human glioma xenografts. Results: The integrin αvβ3 binding affinity of RGD conjugates follows the order of: DOTA-6P-RGD4 (IC50 = 0.3 ± 0.1 nM) ~ DOTA-2P4G-RGD4 (IC50 = 0.2 ± 0.1 nM) ~ DOTA-2P-RGD4 (IC50 = 0.5 ± 0.1 nM) > DOTA-3P-RGD2 (DOTA-PEG4-E[PEG4-c(RGDfK)]2: IC50 = 1.5 ± 0.2 nM) > DOTA-P-RGD2 (IC50 = 5.0 ± 1.0 nM) >> DOTA-P-RGD (IC50 = 44.3 ± 3.5 nM) ~ c(RGDfK) (IC50 = 49.9 ± 5.5 nM) >> DOTA-6P-RGK4 (IC50 = 437 ± 35 nM). The fact that DOTA-6P-RGK4 had much lower integrin αvβ3 binding affinity than DOTA-6P-RGD4 suggests that the binding of DOTA-6P-RGD4 to integrin αvβ3 is RGD-specific. This conclusion is consistent with the lower tumor uptake for 111In(DOTA-6P-RGK4) than that for 111In(DOTA-6P-RGD4). It was also found that the G3 and PEG4 linkers between RGD motifs have a significant impact on the integrin αvβ3-targeting capability, biodistribution characteristics, excretion kinetics and metabolic stability of 111In-labeled cyclic RGD peptides. Conclusion: On the basis of their integrin αvβ3 binding affinity and tumor uptake of their corresponding 111In radiotracers, it was conclude that 2P-RGD4, 2P4G-RGD4 and 6P-RGD4 are most likely bivalent in binding to integrin αvβ3, and extra RGD motifs might contribute to the long tumor retention times of 111In(DOTA-2P-RGD4), 111In(DOTA-2P4G-RGD4) and 111In(DOTA-6P-RGD4) than that of 111In(DOTA-3P-RGD3) at 72 h p.i. Among the 111In-labeled cyclic RGD tetramers evaluated in the glioma model, 111In(DOTA-2P4G-RGD4) has very high tumor uptake with the best tumor/kidney and tumor/liver ratios, suggesting that 90Y(DOTA-2P4G-RGD4) and 177Lu(DOTA-2P4G-RGD4) might have the potential for targeted radiotherapy of integrin αvβ3-positive tumors.
Detection of Multiple Instances of Video Objects

This paper tackles the issue of retrieving different instances of an object of interest within a given video document or in a video database. The principle consists of considering a semi-global image representation based on an over-segmentation of image frames. An aggregation mechanism is then applied in order to group a set of sub-regions into an object similar to the query, under a global similarity criterion. Two different types of approaches are proposed. The first one involves a greedy, dynamic region construction method. The second is based on simulated annealing, and aims at determining a global optimum of the similarity function. Experimental results show promising performances, with FT and BE detection rates of up to 66% and 86%, respectively.
LARGE EDDY SIMULATION OF WIRE-WRAPPED FUEL PINS I : Hydrodynamics of a Single Pin

We present large-eddy simulations of flow and heat transfer i n a wire-wrapped fuel assembly at subchannel Reynolds numbers of Reh=4684–29184. The domain consists of a single pin in a hexagon ally periodic array, corresponding to two interior subchannels . Periodic boundary conditions are also used in the axial direction over a single wire-wrap period.
Nudging Investors Big and Small Toward Better Decisions

Investors significantly reduce their future returns by selecting mutual funds with higher fees, allured by higher past returns that do not predict future performance. This suboptimal behavior, which can roughly halve an investor’s retirement savings, is driven by 2 psychological factors. One factor is difficulty comprehending rate information, which is critical given that mutual fund fees and returns are typically communicated in percentages. A second factor is devaluing small differences in returns or fees (i.e., a peanuts effect). These 2 factors interact such that large investors benefit when fees are stated in currency (as opposed to percentages), whereas small investors benefit from returns stated in currency. These striking results suggest behavioral interventions that are tailored specifically for small and large investors.
FACE AND THUMB RECOGNITION BY PCA AND DWT

Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Experimental studies show that Unimodal biometric systems had many disadvantages regarding performance and accuracy. Multimodal biometric systems perform better than Unimodal biometric systems and are popular even more complex also. In this paper we introduce face and thumb images recognition using Transform Domain and Spatial Domain Techniques. Also In this paper we use a pixel-level image fusion scheme using discreet wavelet transform (DWT). Wavelet coefficients at different decomposing levels are fused using absolute maximum fusion rule. And extract the feature of fused images by Principal Component Analysis (PCA) and texture feature extraction. Person will be categorized as known or unknown face after matching with the present database. The test and database fused features are compared using Euclidean Distance (ED).
Region based reconstruction from the axial view of the brain for inverse EEG problem

This paper presents a new method for reconstruction of current sources from the axial view of the brain for inverse EEG problem, which produce reconstructed sources that are confined to brain regions. The method involves partitioning the gray matter into a set of regions (active regions), and a simple linear model is constructed for the potentials produced by feasible source configurations inside each one of these regions. The proposed method computes the solution in two stages: in the first one, the active regions for experiment is found so that the harvested potentials approximate the measured potential data. In the second stage, a detailed distribution of the current sources inside each active region is performed. The scheme proposed is more compatible when comparing with other methods which produce the standardized localization strategy.