Miracle-dz/UniFAR-FTUs huggingface dataset:
Power Management Optimization of an Experimental Fuel Cell/Battery/Supercapacitor Hybrid System

In this paper, an experimental fuel cell/battery/supercapacitor hybrid system is investigated in terms of modeling and power management design and optimization. The power management strategy is designed based on the role that should be played by each component of the hybrid power source. The supercapacitor is responsible for the peak power demands. The battery assists the supercapacitor in fulfilling the transient power demand by controlling its state-of-energy, whereas the fuel cell system, with its slow dynamics, controls the state-of-charge of the battery. The parameters of the power management strategy are optimized by a genetic algorithm and Pareto front analysis in a framework of multi-objective optimization, taking into account the hydrogen consumption, the battery loading and the acceleration performance. The optimization results are validated on a test bench composed of a fuel cell system (1.2 kW, 26 V), lithium polymer battery (30 Ah, 37 V), and a supercapacitor (167 F, 48 V).
Characterization of $m$-Sequences of Lengths $2^{2k}-1$ and $2^{k}-1$ With Three-Valued Cross Correlation

Considered is the distribution of the cross correlation between in-sequences of length 22k -1, where m = 2k, and m-sequences of shorter length 2k -1. New pairs of m -sequences with three-valued cross correlation are found and the complete correlation distribution is determined. Finally, we conjecture that there are no more cases with a three-valued cross correlation apart from the ones proven here.
Theorizing Human Resource Management and the Firm's Demand for HRM Practices

Drawing on the economics and industrial relations literatures, this paper argues that the conventional conceptualization and theorization of human resource management, and the attendant empirical literature on the HRM-firm performance relationship, are likely to suffer from significant problems of mis-specification and limited domain. A new theoretical framework is advanced that generalizes the HRM concept, models the linkage between HRM practices and firm performance (the "black box"), generates an HRM input demand function and demand curve, and demonstrates how these analytic tools can explain major features of the distribution of HRM practices among firms and over time.
Kronecker descriptor partitioning for parallel algorithms

The key operation to obtain stationary and transient solutions of transition systems described by Kronecker structured formalisms is the Vector-Descriptor product. This operation is usually performed with shuffling operations and matrices aggregations to reduce the floating point multiplications inside iterative methods. Due to the flexibility of the Split method treating Kronecker product terms, it is a natural alternative to decompose descriptors within parallel environments. The main problem is to define the correct task size to assign to each node and also the shared memory size, since sending a small task per time can lead to a larger communication overhead. In this paper we are investigating data partitioning strategies for a parallel solution of transition systems obtained from Kronecker descriptors using the Split algorithm.
Embedded node around a DSP core for mobile sensor networks over 802.11 infrastructure

Digital signal processors (DSPs) are very efficient devices to implement algorithms for signal processing and analyzing. Endowing sensorial nodes from a sensor network with such processing cores it could lead to high performance because of the possibility of parallel and distribute processing and thus reducing the quantity of information spread into the network (network load). If such a node uses for communication a mature infrastructure like 802.11 standard, will be obtained a solution for implementing mobile sensor networks with high performance end cost efficient. In the same way of obtaining high performances with low costs we suggest that on the information chain from the physical quantity to the numerical result, the acquisition part to be done by an audio codec. In this way, the entire network may look like a Voice over IP (VoIP) mobile network, yet the information exchanged will not be voice but measures and commands with quality of service (QoS) inherited from VoIP.
PPM Revisited with New Idea on Escape Probability Estimation

A variant of prediction by partial matching scheme with a modification of escape probability estimation is presented here. This paper gives a new method for bounded length context models with static estimation of escape probability. The experimental results have shown that the proposed technique performs better with a compression rate of 2.35 b/Character among all the bounded length PPM compression schemes. It is also observed that this method shows better results on files having binary data rather than character data.
Can carbon emissions from tropical deforestation drop by 50% in 5 years?

Halving carbon emissions from tropical deforestation by 2020 could help bring the international community closer to the agreed goal of <2 degree increase in global average temperature change and is consistent with a target set last year by the governments, corporations, indigenous peoples' organizations and non‐governmental organizations that signed the New York Declaration on Forests (NYDF). We assemble and refine a robust dataset to establish a 2001–2013 benchmark for average annual carbon emissions from gross tropical deforestation at 2.270 Gt CO2 yr−1. Brazil did not sign the NYDF, yet from 2001 to 2013, Brazil ranks first for both carbon emissions from gross tropical deforestation and reductions in those emissions – its share of the total declined from a peak of 69% in 2003 to a low of 20% in 2012. Indonesia, an NYDF signatory, is the second highest emitter, peaking in 2012 at 0.362 Gt CO2 yr−1 before declining to 0.205 Gt CO2 yr−1 in 2013. The other 14 NYDF tropical country signatories were responsible for a combined average of 0.317 Gt CO2 yr−1, while the other 86 tropical country non‐signatories were responsible for a combined average of 0.688 Gt CO2 yr−1. We outline two scenarios for achieving the 50% emission reduction target by 2020, both emphasizing the critical role of Brazil and the need to reverse the trends of increasing carbon emissions from gross tropical deforestation in many other tropical countries that, from 2001 to 2013, have largely offset Brazil's reductions. Achieving the target will therefore be challenging, even though it is in the self‐interest of the international community. Conserving rather than cutting down tropical forests requires shifting economic development away from a dependence on natural resource depletion toward recognition of the dependence of human societies on the natural capital that tropical forests represent and the goods and services they provide.
The neural computation of visual motion information.

Retinal image motion is elicited when a moving object crosses the visual field ('object motion'). However, even if the outside world is stationary there is continuous image flow on the retina when the animal moves about in the environment. This so-called optic flow is a rich source of information about the three-dimensional layout of the environment as well as the path and speed of locomotion (Dahmen forward translation the optic flow across both eyes is directed backwards with the apparent velocity of closer objects being larger than that of more distant ones. In contrast, during a pure rotation about the vertical body axis optic flow is directed backward across one eye, but forward across the other. In this situation, the retinal velocities are independent of the distance of objects to the animal. Given that animals may often rotate and translate simultaneously, the optic flow is likely to be much more complex in natural situations. Moreover, flying animals have six degrees of freedom, three of rotation, and three of translation, a feature that further increases the complexity of the optic flow as compared to that of animals moving on the ground. Amongst invertebrates, optic flow has been shown, primarily in insects and crustaceans, to be an important source of visual information. Because of the relative ease with which their nervous systems can be approached electrophysiologically and by imaging techniques, selected insect and crustacean species serve as model systems for analysing the mechanisms underlying the processing of visual motion. 399 10.2 VISUAL MOTION AND THE CONTROL OF BEHAVIOUR Visual motion has been shown to play an important role in behavioural control in a wide range of arthropod species (reviews: Collett et al. section summarises a selection of behavioural components that are guided by visual motion. The historically first analysed motion-driven behavioural response is optomotor following which appears to occur not only in arthropods, but in all mobile animals. An animal viewing a moving wide-field pattern tries to follow the pattern by movements of its eyes (if they are mobile as in crabs), its head, or its entire body. Wide-field pattern motion is believed to mimic deviations from an intended course as may be induced by an external disturbance or by internal asymmetries in the motor system. The resulting retinal movement forms the input of a velocity servo, which reduces the retinal slip by compensatory eye, head, or body rotations. As a consequence, …
Patent Renewal Data

IN MANY COUNTRIES, including recently the United States, holders of patents must pay a renewal fee to keep their patents in force. If that fee is not paid in any one year, the patent is permanently canceled. Assuming that renewal decisions are based on economic criteria, agents will renew their patents only if the value of holding them an additional year exceeds the cost of renewal. Observations on the proportion of patents renewed at different ages, along with the relevant renewal fee schedules, will thus contain information on the distribution of the holding values of patents and on the evolution of this distribution over the life span of the patents. Since patent rights are seldom marketed, renewal data are one of the few sources of information on patent value. This paper considers how that information can be put to use. In the first section we consider renewal models and their implications for what can (and cannot) be learned from renewal data. Renewal decisions are based on the patentees' perceptions of the value of the protection provided by the institutionally generated property rights created by the patent. In dealing with the modeling issue, therefore, we focus on the question of what the observed renewal data can tell us about the distribution of the value of patent rights and about differences in this distribution among different patents and in different institutional and economic environments. We begin by discussing the possibility of using
Early Magnetic Resonance Detection of Natalizumab-Related Progressive Multifocal Leukoencephalopathy in a Patient with Multiple Sclerosis

Diagnosis of progressive multifocal leukoencephalopathy is usually based on the clinical presentation, on the demonstration of the brain lesions at the magnetic resonance imaging examination, and on the detection of the JC virus DNA in the cerebrospinal fluid with high sensitive polymerase chain reaction. The role of magnetic resonance imaging specifically in natalizumab-associated progressive multifocal leukoencephalopathy is strengthening, and it is gaining importance not only as an irreplaceable diagnostic tool but also as a surveillance and risk stratifying tool in treated patients. While other imaging techniques such as computed tomography lack sensitivity and specificity, magnetic resonance performed with morphological and functional sequences offers clinicians the possibility to early identify the stage of the disease and the emergence of an immune reconstitution inflammatory syndrome after natalizumab blood removal plasmapheresis.
Host Cell DNA Repair Pathways in Adeno-Associated Viral Genome Processing

ABSTRACT Recentstudies have shown that wild-type and recombinant adeno-associated virus (AAV and rAAV) genomes persist in human tissue predominantly as double-stranded (ds) circular episomes derived from input linear single-stranded virion DNA. Using self-complementary recombinant AAV (scAAV) vectors, we generated intermediates that directly transition to ds circular episomes. The scAAV genome ends are palindromic hairpin-structured terminal repeats, resembling a double-stranded break repair intermediate. Utilizing this substrate, we found cellular DNA recombination and repair factors to be essential for generating circular episomal products. To identify the specific cellular proteins involved, the scAAV circularization-dependent vector was used as a reporter in 19 mammalian DNA repair-deficient cell lines. The results show that RecQ helicase family members (BLM and WRN), Mre11 and NBS1 of the Mre11-Rad50-Nbs1 (MRN) complex, and ATM are required for efficient scAAV genome circularization. We further demonstrated that the scAAV genome requires ATM and DNA-PKCS, but not NBS1, to efficiently convert to a circular form in nondividing cells in vivo using transgenic mice. These studies identify specific pathways involved for further elucidating viral and cellular mechanisms of DNA maintenance important to the viral life cycle and vector utilizations.
The PUNCH virtual file system: seamless access to decentralized storage services in a computational grid

Describes a virtual file system that allows data to be transferred on demand between storage and computational servers for the duration of a computing session. The solution works with unmodified applications (even commercial ones) running on standard operating systems and hardware. The virtual file system employs software proxies to broker transactions between standard NFS (Network File System) clients and servers; the proxies are dynamically configured and controlled by computational grid middleware. The approach has been implemented and extensively exercised in the context of PUNCH (Purdue University Network Computing Hubs), an operational computing portal that has more than 1,500 users across 24 countries. The results show that the virtual file system performs well in comparison to native NFS: performance analyses show that the proxy incurs mean overheads of 1% and 18% with respect to native NFS for a single-client execution of the Andrew benchmark in two representative computing environments, and that the average overhead for eight clients can be reduced to within 1% of native NFS with concurrent proxies.
Expanding the Antimalarial Drug Arsenal—Now, But How?

The number of available and effective antimalarial drugs is quickly dwindling. This is mainly because a number of drug resistance-associated mutations in malaria parasite genes, such as crt, mdr1, dhfr/dhps, and others, have led to widespread resistance to all known classes of antimalarial compounds. Unfortunately, malaria parasites have started to exhibit some level of resistance in Southeast Asia even to the most recently introduced class of drugs, artemisinins. While there is much need, the antimalarial drug development pipeline remains woefully thin, with little chemical diversity, and there is currently no alternative to the precious artemisinins. It is difficult to predict where the next generation of antimalarial drugs will come from; however, there are six major approaches: (i) re-optimizing the use of existing antimalarials by either replacement/rotation or combination approach; (ii) repurposing drugs that are currently used to treat other infections or diseases; (iii) chemically modifying existing antimalarial compounds; (iv) exploring natural sources; (v) large-scale screening of diverse chemical libraries; and (vi) through parasite genome-based (“targeted”) discoveries. When any newly discovered effective antimalarial treatment is used by the populus, we must maintain constant vigilance for both parasite-specific and human-related factors that are likely to hamper its success. This article is neither comprehensive nor conclusive. Our purpose is to provide an overview of antimalarial drug resistance, associated parasite genetic factors (1. Introduction; 2. Emergence of artemisinin resistance in P. falciparum), and the antimalarial drug development pipeline (3. Overview of the global pipeline of antimalarial drugs), and highlight some examples of the aforementioned approaches to future antimalarial treatment. These approaches can be categorized into “short term” (4. Feasible options for now) and “long term” (5. Next generation of antimalarial treatment— Approaches and candidates). However, these two categories are interrelated, and the approaches in both should be implemented in parallel with focus on developing a successful, long-lasting antimalarial chemotherapy.
The structure and selectivity of the SR protein SRSF2 RRM domain with RNA

SRSF2 is a prototypical SR protein which plays important roles in the alternative splicing of pre-mRNA. It has been shown to be involved in regulatory pathways for maintaining genomic stability and play important roles in regulating key receptors in the heart. We report here the solution structure of the RNA recognition motifs (RRM) domain of free human SRSF2 (residues 9–101). Compared with other members of the SR protein family, SRSF2 structure has a longer L3 loop region. The conserved aromatic residue in the RNP2 motif is absent in SRSF2. Calorimetric titration shows that the RNA sequence 5′AGCAGAGUA3′ binds SRSF2 with a Kd of 61 ± 1 nM and a 1:1 stoichiometry. NMR and mutagenesis experiments reveal that for SFSF2, the canonical β1 and β3 interactions are themselves not sufficient for effective RNA binding; the additional loop L3 is crucial for RNA complex formation. A comparison is made between the structures of SRSF2–RNA complex with other known RNA complexes of SR proteins. We conclude that interactions involving the L3 loop, N- and C-termini of the RRM domain are collectively important for determining selectivity between the protein and RNA.
Blending Polygonal Shapes with Di erentTopologies 1

In this paper we propose a new method for morphing between two polygonal, possibly non-simply-connected, shapes in the plane. The method is based on reconstructing an xy-monotone surface whose extreme cross-sections coincide with the given shapes. The surface generated by our algorithm does not contain any self-intersections, does not change the topologies of the input slices, does not contain any horizontal triangles, and guarantees that all the topology changes occur at a mid-height which is a degenerate form of both input topologies. All these properties are highly desirable for blending shapes of diierent topologies.
TCAM SPliT : Optimizing Space , Power , and Throughput for TCAM-based Packet Classification Systems

Packet classification is the core mechanism that enables many networking services such as packet filtering and traffic accounting. Using Ternary Content Addressable Memories (TCAMs) to perform high-speed packet classification has become the de facto standard in industry because TCAMs can facilitate constant time classification by comparing a packet with all rules of ternary encoding in parallel. Despite their high speed, TCAMs have limitations of small capacity, large power consumption, and relatively slow access times. The well-known range expansion problem in converting range rules to ternary rules significantly exacerbates these TCAM limitations. While we can expect some gain in TCAM performance from improved hardware, the demands on TCAM performance as measured by the number of rules in packet classifiers increase far more rapidly due to the explosive growth of Internet services and threats. One reason TCAM-based packet classifiers are so large is the multiplicative effect inherent in representing d-dimensional classifiers in TCAMs. Although several TCAM optimization techniques have been proposed, they cannot fully address the multiplicative effect because they still produce five-dimensional classifiers. To address the multiplicative effect, we abandon the traditional TCAM classification paradigm that performs a single five-dimensional lookup on a single five-dimensional classifier stored in a large TCAM. Instead, we propose the TCAM SPliT architecture, where a five dimensional classifier is split into two low dimensional classifiers, each of which is stored on its own small TCAM. Accordingly, a five-dimensional lookup is split into two low dimensional, pipelined lookups with one lookup on each chip. TCAM SPliT is the first scheme that fundamentally addresses the multiplicative effect in TCAM-based packet classification by decomposing a high dimensional classifier into two low dimensional classifiers. TCAM SPliT significantly improves TCAM-based packet classification in the three aspects of space, power, and throughput. On real-world classifiers, for space, TCAM SPliT reduces space requirement by an average of 92%; for power, TCAM SPliT reduces power consumption by an average of 37.9%; for throughput, TCAM SPliT improves classification throughput by an average of 63.3%. Assuming the average compression ratio of 8% applies to large classifiers, we extrapolate that TCAM SPliT can reduce power consumption by more than a factor of 5 and increase throughput by more than a factor of 2.5 when applied to a classifier whose direct expansion requires a 36Mb TCAM, which is the largest TCAM chip available.
Why do we entertain ourselves with media narratives? A theory of resonance perspective on entertainment experiences

ABSTRACT Why do we entertain ourselves with media narratives? Although the most recent answer to this question (Oliver et al., 2018) provides a far more complex understanding of entertainment use compared to earlier theorizing, it still leaves important questions unanswered. Our primary ambition here is to introduce a new theoretical perspective that may be used to explain entertainment experiences on the basis of the sociological theory of resonance (Rosa, 2018). This theory focusses on genuine, ‘vibrant’ connections individuals can have with others and with the world. Our thesis is that this form of connection resembles what in more recent theories of entertainment is labelled eudaimonic experiences. But while these eudaimonic experiences are often seen as complementing hedonic ones, we propose to categorically distinguish between the two with only regarding the hedonic dimension as entertaining and the eudaimonic one as ‘resonant’ relationship. From this point of view, media narratives are selected either for their impact on a user’s affective states or for their potential to provide a user with a resonant connection. This conceptualization not only allows to answer some of the still open questions in entertainment theory but to also include the social and historical context of entertainment use.
Gatornomics: Profitable and Sustainable Use of Alligators in the Southeastern United States

The American alligator is no longer an endangered species. Alligator farms and ranches are regulated by government agencies, which provide economic incentives to ensure sustainable use. The collection of eggs laid in the wild and the subsequent release of juveniles back into the wild foster a synergy between wild and captive populations, implying that successful regulation must keep producers profitable. Specific policies are assessed in terms of profitability and sustainable use.