Miracle-dz/UniFAR-FTUs huggingface dataset:
Autonomous detection of information patterns through hierarchical peeling

Finding useful information in real world scenes is very important for many scene understanding tasks. Signs, scripts, information panels, and logos typically stand out from their environment for a human observer, but algorithmically locating them seems to depend on the actual context. We propose a hierarchical method that locates potentially interesting areas and examines whether their content is worth further examination. The algorithm digs into the containers by iteratively peeling down external shells and deciding what parts constitute the foreground. The proposed algorithm can be efficiently implemented on topographic processor arrays, since it mostly contains standard topographic instructions. The effectiveness of the approach is demonstrated through several examples.
An integrated framework for suicide risk prediction

Suicide is a major concern in society. Despite of great attention paid by the community with very substantive medico-legal implications, there has been no satisfying method that can reliably predict the future attempted or completed suicide. We present an integrated machine learning framework to tackle this challenge. Our proposed framework consists of a novel feature extraction scheme, an embedded feature selection process, a set of risk classifiers and finally, a risk calibration procedure. For temporal feature extraction, we cast the patient's clinical history into a temporal image to which a bank of one-side filters are applied. The responses are then partly transformed into mid-level features and then selected in l1-norm framework under the extreme value theory. A set of probabilistic ordinal risk classifiers are then applied to compute the risk probabilities and further re-rank the features. Finally, the predicted risks are calibrated. Together with our Australian partner, we perform comprehensive study on data collected for the mental health cohort, and the experiments validate that our proposed framework outperforms risk assessment instruments by medical practitioners.
Characterization of multi-drug resistant Mycobacterium tuberculosis from immigrants residing in the USA using Ion Torrent full-gene sequencing

SUMMARY Drug-resistant Mycobacterium tuberculosis bacterium (MTB) is spreading worldwide. Three drug-resistant isolates were detected in Burmese, Hmong, and Indian immigrants currently residing in Milwaukee, Wisconsin, USA. Ion Torrent full-gene sequencing and complete genetic analysis was performed within 5 days and compared to results from traditional drug sensitivity testing (DST). Genetic characterization of seven, full-length resistance-associated genes revealed two MDR and one highly resistant strain with important drug-resistant mutations that were confirmed by traditional DST. The rapid turnaround from sample-to-sequence underscores the public health value of Ion Torrent full-gene sequencing of MDR/XDR genes from epidemiologically significant clinical isolates.
Indoor white light wireless data transmission based on new generation environment-friendly solid state lighting

White light emitting diode (LED) is viewed as the new generation green solid state lighting (SSL) source by academia and industry based on its charming advantages, such as high brightness, low cost, steadily improved power efficiency and etc. Visible light communication based on white LED which aims to realize lighting and data transmission simultaneously is attracting more and more attention. In this paper, two indoor VLC design schemes which need less power cost are proposed and corresponding illuminance ability is estimated in a moderate size office. One proves that distributed design scheme can improve the power efficiency (add 300 lx in central area) and related SNR performance is improved as well. And the other illustrates the amount of needed chips can be reduced (from 900 to less than 800) maintaining the similar illuminance level. The performance of systems based on improved modulation schemes in terms of pulse position modulation (PPM), multiple pulse position modulation (MPPM) and overlapping pulse position modulation (OPPM) are tested.
Sequence, internal homology and high-level expression of the gene for a DNA-(cytosine N4)-methyltransferase, M.Pvu II.

The base sequence of the pvuIIM gene has been determined. This gene codes for a DNA-(cytosine N4)-methyltransferase, M.Pvu II. The base sequence contains a single large open reading frame that predicts a 38.3kDa polypeptide, consistent with experimental data. The pvuIIM gene contains some sequences common to DNA methyltransferases in general, but includes none of the sequences specifically conserved among DNA-(cytosine 5)-methyltransferases. The pvuIIM sequence also reveals an internal homology at the amino acid level, each half of which spans over 100 amino acids and is itself homologous to the sequences of some DNA-(adenine N6)-methyltransferases. A derivative of the pvuIIM plasmid was constructed to allow high-level production of M.Pvu II. Specifically, the composite Ptac promoter was inserted 5' to pvuIIM, intervening DNA was deleted, and the resulting construct was used to transform an mcrB laclq strain of Escherichia coli. When this transformant was induced with isopropyl-B-D-galactopyranoside (IPTG), growth rapidly ceased and M.Pvu II accumulated to the point of comprising over 10% of the total soluble protein.
Transcriptomic resources and marker validation for diploid and polyploid Veronica (Plantaginaceae) from New Zealand and Europe

Premise of the study: Polyploidy may generate novel variation, leading to adaptation and species diversification. An excellent natural system to study polyploid evolution in a comparative framework is Veronica (Plantaginaceae), which comprises several parallel, recently evolved polyploid series. Methods: Over 105 million Illumina paired-end sequence reads were generated from cDNA libraries of leaf tissue from eight individuals representing three European and four New Zealand species. Forty-eight simple sequence repeat (SSR) and 48 low-copy nuclear (LCN) markers were developed and validated with Fluidigm microfluidic PCR and Illumina MiSeq amplicon sequencing on 48 different individuals each. Results: Individual Trinity assemblies were similar regarding annotated transcripts (13,009–14,271), mean contig length (635–742 bp), N50 value (916–1133 bp), E90N50 value (1099–1308 bp), contigs with positive BLAST hits (42–63%), and gene ontology terms. Analyses of 29,738 single-nucleotide polymorphisms (8746 phylogenetically informative) mined from these transcriptomes plus two outgroups (Picrorhiza kurrooa and Plantago ovata) showed moderate to high bootstrap support for all branches and reticulation among sampled European Veronica. Discussion: The transcriptome sequences themselves, as well as the validated SSR (40/48) and LCN (11/48) markers derived from them, show inter- and intraspecific genetic variation. These resources will be invaluable for future population genetic, phylogenetic, and functional genetic investigations in polyploid Veronica.
Hard Instances for Verification Problems in Access Control

We address the generation and analysis of hard instances for verification problems in access control that are NP-hard. Given the customary assumption that P ≠ NP, we know that such classes exist. We focus on a particular problem, the user-authorization query problem (UAQ) in Role-Based Access Control (RBAC). We show how to systematically generate hard instances for it. We then analyze what we call the structure of those hard instances. Our work brings the important aspect of systematic investigation of hard input classes to access control research.
Intelligent Probabilistic Recurrent Fuzzy Control of Human-Machine Systems

Abstract A novel self-learning control algorithm for human-machine systems is presented. The designed controller is based on a probabilistic extension of recurrent fuzzy systems, which allows the consideration of non-deterministic information in addition to deterministic control signals. The behavior of the controller is adapted by varying the conditional probabilities of state switching, wherefore the automation-like structure of a recurrent fuzzy system is exploited. The adaptation is done by statistically evaluating the results from an objective and a subjective point of view. The developed transient probabilistic recurrent fuzzy controller (TP-RFC) considers two control objectives of different time scales. First, the actual control of the mechatronical subsystem and second, the consideration (self-leaning) of disturbances and the user's idiosyncrasy in a long term. An application of the proposed TP-RFC to a washing machine is shown by simulation.
LARVAL BLUEFIN TUNA (THUNNUS THYNNUS) TROPHODYNAMICS FROM BALEARIC SEA (WM) AND GULF OF MEXICO SPAWNING ECOSYSTEMS BY STABLE ISOTOPE

SUMMARY The present study uses stable isotopes of nitrogen and carbon (δ 15 N and δ 13 C) as trophic indicators for Atlantic bluefin tuna larvae (BFT) (6-10 mm SL) in the highly contrasting environmental conditions of the Gulf of Mexico (GOM) and the Balearic Sea (MED). The study analyzes ontogenetic changes in the food sources and trophic levels (TL) of BFT larvae from each spawning habitat. The results discuss differences in the ontogenic dietary shifts observed in the BFT larvae from the GOM and MED as well as trophodynamic differences in relation to the microzooplanktonic baselines used for estimating trophic enrichment. Significant trophic differences between the GOM and MED larvae were observed in relation to δ 15 N signatures in favour of the MED larvae, which may have important implications in their early life growth strategy.
Effect of short-term heat acclimation on endurance time and skin blood flow in trained athletes

Background To examine whether short-term, ie, five daily sessions, vigorous dynamic cycling exercise and heat exposure could achieve heat acclimation in trained athletes and the effect of heat acclimation on cutaneous blood flow in the active and nonactive limb. Methods Fourteen male badminton and table tennis athletes (age = 19.6 ± 1.2 years) were randomized into a heat acclimation (EXP, n = 7) or nonheat acclimation (CON, n = 7) group. For 5 consecutive days, the EXP group was trained using an upright leg cycle ergometer in a hot environment (38.4°C ± 0.4°C), while the CON group trained in a thermoneutral environment (24.1°C ± 0.3°C). For both groups, the training intensity and duration increased from a work rate of 10% below ventilatory threshold (VT) and 25 minutes per session on day 1, to 10% above VT and 45 minutes per session on day 5. Subjects performed two incremental leg cycle exercise tests to exhaustion at baseline and post-training in both hot and thermoneutral conditions. Study outcome measurements include: maximum oxygen uptake (VO2max); exercise heart rate (HR); O2 pulse; exercise time to exhaustion (tmax); skin blood flow in the upper arm (SkBFa) and quadriceps (SkBFq); and mean skin (Tsk). Results The significant heat-acclimated outcome measurements obtained during high-intensity leg cycling exercise in the high ambient environment are: (1) 56%–100% reduction in cutaneous blood flow to the active limbs during leg cycling exercise; (2) 28% drop in cutaneous blood flow in nonactive limbs at peak work rate; (3) 5%–10% reduction in heart rate (HR); (4) 10% increase in maximal O2 pulse; and (5) 6.6% increase in tmax. Conclusion Heat acclimation can be achieved with five sessions of high-intensity cycling exercise in the heat in trained athletes, and redistribution of cutaneous blood flow in the skin and exercising muscle, and enhanced cardiovascular adaptations provide the heat-acclimated athletes with the capability to increase their endurance time in the hot environment.
Complex Analysis and Complex Geometry

Complex analysis and complex geometry form synergy through the geometric ideas used in analysis and analytic tools employed in geometry, and therefore they should be viewed as two aspects of the same subject. The fundamental objects of the theory are complex manifolds and, more generally, complex spaces, holomorphic functions on them, and holomorphic maps between them. Holomorphic functions can be defined in three equivalent ways as complex-differentiable functions, convergent power series, and as solutions of the homogeneous Cauchy-Riemann equation. The threefold nature of differentiability over the complex numbers gives complex analysis its distinctive character and is the ultimate reason why it is linked to so many areas of mathematics. Plurisubharmonic functions are not as well known to nonexperts as holomorphic functions. They were first explicitly defined in the 1940s, but they had already appeared in attempts to geometrically describe domains of holomorphy at the very beginning of several complex variables in the first decade of the 20th century. Since the 1960s, one of their most important roles has been as weights in a priori estimates for solving the Cauchy-Riemann equation. They are intimately related to the complex Monge-Ampère equation, the second partial differential equation of complex analysis. There is also a potential-theoretic aspect to plurisubharmonic functions, which is the subject of pluripotential theory. In the early decades of the modern era of the subject, from the 1940s into the 1970s, the notion of a complex space took shape and the geometry of analytic varieties and holomorphic maps was developed. Also, three approaches to solving the Cauchy-Riemann equations were discovered and applied. First came a sheaf-theoretic approach in the 1950s, making heavy use of homological algebra. Hilbert space methods appeared in the early 1960s and integral formulas around 1970 through interaction with partial differential equations and harmonic analysis. The complex Monge-Ampère equation came to the fore in the late 1970s with Yau’s solution of the Calabi conjectures and Bedford and Taylor’s work on the Dirichlet problem. Today, as before, complex analysis and complex geometry is a highly interdisciplinary field. The foundational work described above has been followed by a broad range of research at the interfaces with a number of other areas, such as algebraic geometry, differential geometry, dynamical systems, functional analysis, homotopy theory, partial differential equations, and symplectic geometry. Complex analysts and complex geometers share a common toolkit, but find inspiration and open problems in many areas of mathematics.
Energy-Efficient Remote Healthcare Monitoring Using IoT: A Review of Trends and Challenges

The emergence of Internet and technologies such as Wireless Sensor Network (WSN) has created another platform of Wireless Body Area Network (WBAN) and also an ever growing new area of Internet of Thing (IoT). A WBAN offers a flexibility and mobility to health monitoring system. Most of WBAN is made up of several small and light-weighted battery-operated sensor nodes and lead to energy-constrained system. Thus, an energy-efficient WBAN system is crucially needed to make the network last longer. In addition, data reliability and data transmission is important to make the system more effective. IoT concept helps in forming an interaction of things in the surrounding as well as support data storage (database) for collected vital body sign by the sensors. In this paper, we review the concept and design of energy-efficient WBAN and contribution of IoT in healthcare monitoring system.
Does Feedback from This Device Change Unhealthy habits? Lessons from my PhD project

Feedback from digital technology has often been used to support people in changing undesired, unhealthy habits. As yet, there has been little research into the efficacy of these designs. In my PhD project, I evaluated the acceptance, sustained use, and effect of four designs that provide feedback on undesired habitual behaviour through digital technology. Findings are that the disruptive effect of feedback on undesired habits has been proven, and there is some evidence that feedback may have a lasting effect on behavioural change. (Sustained) use of digital designs that provide feedback is moderated by motivation, age, goal-related aspects, and user experience. The necessity of high motivation to use a device poses challenges for the acceptance of and sustained engagement with designs for behaviour change that rely on feedback. Further challenges concern privacy and the quality of the evaluations of our designs.
Sequential Parameter Tuning of Algorithms for the Vehicle Routing Problem

The Vehicle Routing Problem is an extensively studied, NP-hard problem with numerous real-world applications, due to its super-polynomial time complexity exact approaches are infeasible, and so over the years metaheuristics have been used, such as the Genetic Algorithm(GA) and the Multiple Ant Colony Systems(MACS). This paper extends the research on the Hybrid GA of Wink et al. and MACS-DVRPTW of van Veen et al. These approaches require a relatively large number of parameters, which in turn determines their effectiveness. In the past years, methods have arisen capable of automatically determining good parameter configurations, one of them being the Sequential Parameter Optimization Toolbox, which will also be discussed in this paper. In addition to solving all known problems optimally or within 2% of the optimum, SPOT aids in getting a better understanding of the parameters used by each algorithm.
Clinical Encounters and Treatment Initiation for Chronic Hepatitis C Patients: Applications of Adaptive Leadership Framework for Chronic Illness

Chronic hepatitis C (CHC) is the most common blood-borne infection in the United States. Patients with CHC undergoing treatment face many challenges including adherence to medications and management of symptoms; health care practitioners are well positioned to facilitate patients’ ability to address these challenges. We used the Adaptive Leadership for Chronic Illness Framework to investigate the difficulties inherent in affecting behavior change in patients undergoing treatment. We enrolled 11 patient participants and 10 provider participants. We used data from the first clinical encounter between patients and providers during which treatment was discussed. We found examples of adaptive leadership and categorized these behaviors into three themes: support for medication, coping with family/home life, and strategizing to manage employment. We also saw examples of what we termed missed opportunities for adaptive leadership. This study illustrates the contributions of adaptive leadership behaviors by health care providers and the potential risk to patients in their absence.
Se p 20 03 replica equivalence in the edwards-anderson model

After introducing and discussing the link-overlap between spin configurations we show that the Edwards-Anderson model has a replicaequivalent quenched equilibrium state, a property introduced by Parisi in the description of the mean-field spin-glass phase which generalizes ultrametricity. Our method is based on the control of fluctuations through the property of stochastic stability and works for all the finitedimensional spin-glass models.
Accelerating Big Data analytics with Collaborative Planning in Teradata Aster 6

The volume, velocity, and variety of Big Data necessitate the development of new and innovative data processing software. A multitude of SQL implementations on distributed systems have emerged in recent years to enable large-scale data analysis. User-Defined Table operators (written in procedural languages) embedded in these SQL implementations are a powerful mechanism to succinctly express and perform analytic operations typical in Big Data discovery workloads. Table operators can be easily customized to implement different processing models such as map, reduce and graph execution. Despite an inherently parallel execution model, the performance and scalability of these table operators is greatly restricted as they appear as a black box to a typical SQL query optimizer. The optimizer is not able to infer even the basic properties of table operators, prohibiting the application of optimization rules and strategies. In this paper, we introduce an innovative concept of “Collaborative Planning”, which results in the removal of redundant operations and a more optimal rearrangement of query plan operators. The optimization of the query proceeds through a collaborative exchange between the planner and the table operator. Plan properties and context information of surrounding query plan operations are exchanged between the optimizer and the table operator. Knowing these properties also allows the author of the table operator to optimize its embedded logic. Our main contribution in this paper is the design and implementation of Collaborative Planning in the Teradata Aster 6 system. Using real-world workloads, we show that Collaborative Planning reduces query execution times as much as 90.0% in common use cases, resulting in a 24x speedup.
The possible high-energy emission from GRB 080319B and origins of the GeV emission of GRBs 080514B, 080916C and 081024B

We calculate the high-energy (sub-GeV to TeV) prompt and afterglow emission of GRB 080319B that was distinguished by a naked-eye optical flash and by an unusual strong early X-ray afterglow. There are three possible sources for high-energy emission: the prompt optical and gamma-ray photons IC scattered by the accelerated electrons, the prompt photons IC scattered by the early external reverse-forward shock electrons, and the higher band of the synchrotron and the synchrotron self-Compton emission of the external shock. There should have been in total hundreds of high-energy photons detectable for the Large Area Telescope onboard the Fermi satellite, and tens of photons of those with energy > 10 GeV. The > 10 GeV emission had a duration about twice that of the soft gamma-rays. Astro-rivelatore Gamma a Immagini Leggero (AGILE) could have observed these energetic signals if it was not occulted by the Earth at that moment. The physical origins of the high-energy emission detected in GRB 080514B, GRB 080916C and GRB 081024B are also discussed. These observations seem to be consistent with the current high-energy emission models.
Class IIa HDACs: from important roles in differentiation to possible implications in tumourigenesis

• Introduction • General concepts on class IIa HDACs ‐ Regulation of subcellular localization ‐ Binding partners ‐ Catalytic activity ‐ Class IIa HDAC orthologues in model organisms • HDAC4 ‐ HDAC4 and differentiation ‐ HDAC4 and cancer • HDAC5 ‐ HDAC5 and differentiation ‐ HDAC5 and cancer • HDAC7 ‐ HDAC7 and vascular endothelium ‐ Is HDAC7 a negative regulator of cell proliferation? ‐ HDAC7 and cancer • HDAC9 ‐ HDAC9 and differentiation ‐ HDAC9 and cancer • Conclusions
Parameter logging & remote monitoring for microgrid demonstration project

As an element of research initiative to aid the prospective smart grid issues and to integrate green energy facilities lucratively a demonstration project “Design & Development of Smart Micro-Grid” is being executed in Energy Center, Maulana Azad National Institute of Technology (MANIT), Bhopal. In view of the fact that most renewable sources are intermittent in nature, their integration into the power grid infrastructure is a challenging task which is envisaged to be effectively carried through micro grids. Real time Data Acquisition from renewable energy generators and their monitoring play an extremely important role in overall supervision and the desired coordinated operation control of such diverse energy resources. The main idea of this paper is to present a continuous remote monitoring system for renewable energy sources which is one amongst the significant footsteps taken for accomplishment of the microgrid Research & Development project. It is a PC-based monitoring system able to measure remotely the real-time data of various renewable energy sources and generate reports as tables and graphs. The user may well monitor and display the data remotely by using the local area network through specific software.