Miracle-dz/UniFAR-FTUs huggingface dataset:
Approximate Frequent Pattern Discovery Over Data Stream

— Frequent pattern discovery over data stream is a hard problem because a continuously generated nature of stream does not allow a revisit on each data element. Furthermore, pattern discovery process must be fast to produce timely results. Based on these requirements, we propose an approximate approach to tackle the problem of discovering frequent patterns over continuous stream. Our approximation algorithm is intended to be applied to process a stream prior to the pattern discovery process. The results of approximate frequent pattern discovery have been reported in the paper.
Early regeneration genes: Building a molecular profile for shared expression in cornea–lens transdifferentiation and hindlimb regeneration in Xenopus laevis

Recent studies in Xenopus laevis have begun to compare gene expression during regeneration with that of the original development of specific structures (e.g., the hindlimb and lens), while other studies have sought differences in gene expression between regeneration‐competent and regeneration‐incompetent stages. To determine whether there are any similarities between the regeneration of different structures, we have used a differential screen to seek shared early gene expression between hindlimb regeneration and cornea–lens transdifferentiation in the Xenopus tadpole. We have isolated 13 clones representing genes whose expression is up‐regulated within the first few days of both regenerating processes and which are not demonstrably up‐regulated in the context of basic wound healing. Furthermore, all of these genes also show prominent late embryonic expression. The expression patterns and putative identities of all 13 genes are presented, and a model is considered that allows us to characterize and profile important changes in gene expression, which might be shared among various regenerating and developmental systems. Developmental Dynamics 230:615–629, 2004. © 2004 Wiley‐Liss, Inc.
Efficient Smith-Waterman on Multi-core with FastFlow

Shared memory multiprocessors have returned to popularity thanks to rapid spreading of commodity multi-core architectures. However, little attention has been paid to supporting effective streaming applications on these architectures. We describe FastFlow, a low-level programming framework based on lock-free queues explicitly designed to support high-level languages for streaming applications. We compare FastFlow with state-of-the-art programming frameworks such as Cilk, OpenMP, and Intel TBB. We experimentally demonstrate that FastFlow is always more efficient than them on a given real world application: the speedup of FastFlow over other solutions may be substantial for fine grain tasks, for example +35\% over OpenMP, +226\% over Cilk, +96\% over TBB for the alignment of protein P01111 against UniProt DB using the Smith-Waterman algorithm.
On Reed-Solomon codes as outer codes in the Davey-MacKay construction for channels with insertions and deletions

The Davey-MacKay (DM) construction is a concatenated coding scheme for channels which introduce insertion, deletion and substitution errors. The inner code recovers synchronization while the outer code corrects substitution errors due to imperfect synchronization from the inner decoder. In the original DM construction, nonbinary LDPC codes were used as the outer codes. We show that when the insertion and deletion probabilities are sufficiently small, using a q2-ary (q2 − 1, (q2 − 1)R) Reed-Solomon (RS) code in place of a q-ary (2(q2 − 1), 2(q2 − 1)R) LDPC code as the outer code in the DM construction along with an iterative soft-decision RS decoder, offers better frame-error-rate (FER) performance for moderate to high-rate applications involving relatively short blocklengths.
Effect of spray angle on Ni particle deposition behaviour in cold spray

In this work, cold sprayed Ni particles depositing onto stainless steel (SS) and aluminium substrates was studied the deposition behaviour and bonding mechanism at different spray angles. Contrary to common investigation which is limited to the cross-section or surface, the fractured contact surface on deposited particle was obtained by detaching the as-sprayed particle from the substrate. The results show that the contact surface of Ni particle detached from Al substrate was smooth without signs of metallurgical bonding or interfacial remelting. Compared to the relatively hard SS substrate where dimple-like fractures were found, the substrate hardness is found to play an important role in the formation of metallurgical bonding. Additionally, finite element analysis results show that the relatively hard SS substrate leads to a higher maximum contact pressure, which can promote the formation of metallurgical bonding. It can be convinced that the high contact pressure area is the determining factor for metallurgical bonding.
Lariat sequencing in a unicellular yeast identifies regulated alternative splicing of exons that are evolutionarily conserved with humans

Alternative splicing is a potent regulator of gene expression that vastly increases proteomic diversity in multicellular eukaryotes and is associated with organismal complexity. Although alternative splicing is widespread in vertebrates, little is known about the evolutionary origins of this process, in part because of the absence of phylogenetically conserved events that cross major eukaryotic clades. Here we describe a lariat-sequencing approach, which offers high sensitivity for detecting splicing events, and its application to the unicellular fungus, Schizosaccharomyces pombe, an organism that shares many of the hallmarks of alternative splicing in mammalian systems but for which no previous examples of exon-skipping had been demonstrated. Over 200 previously unannotated splicing events were identified, including examples of regulated alternative splicing. Remarkably, an evolutionary analysis of four of the exons identified here as subject to skipping in S. pombe reveals high sequence conservation and perfect length conservation with their homologs in scores of plants, animals, and fungi. Moreover, alternative splicing of two of these exons have been documented in multiple vertebrate organisms, making these the first demonstrations of identical alternative-splicing patterns in species that are separated by over 1 billion y of evolution.
Classification of Drug Hypersensitivity into Allergic, p-i, and Pseudo-Allergic Forms

Drug hypersensitivity reactions (DHR) are clinically and functionally heterogeneous. Different subclassifications based on timing of symptom appearance or type of immune mechanism have been proposed. Here, we show that the mode of action of drugs leading to immune/inflammatory cell stimulation is a further decisive factor in understanding and managing DHR. Three mechanisms can be delineated: (a) some drugs have or gain the ability to bind covalently to proteins, form new antigens, and thus elicit immune reactions to hapten-carrier complexes (allergic/immune reaction); (b) a substantial part of immune-mediated DHR is due to a typical off-target activity of drugs on immune receptors like HLA and TCR (pharmacological interaction with immune receptors, p-i reactions); such p-i reactions are linked to severe DHR; and (c) symptoms of DHR can also appear if the drug stimulates or inhibits receptors or enzymes of inflammatory cells (pseudo-allergy). These three distinct ways of stimulations of immune or inflammatory cells differ substantially in clinical manifestations, time of appearance, dose dependence, predictability, and cross-reactivity, and thus need to be differentiated.
GReAT - A Model for the Automatic Generation of Text Summaries

The excessive amount of available narrative texts within diverse domains such as health (e.g. medical records), justice (e.g. laws, declarations), assurance (e.g. declarations), etc. increases the required time for the analysis of information in a decision making process. Different approaches of summary generation of these texts have been proposed to solve this problem. However, some of them do not take into account the sequentiality of the original document, which reduces the quality of the final summary, other ones create overall summaries that do not satisfy the end user who requires a summary that is related to his profile (e.g. different medical specializations require different information) and others do not analyze the potential duplication of information and the noise of natural language on the summary. To cope these problems this paper presents GReAT a model for automatic summarization that relies on natural language processing and text mining techniques to extract the most relevant information from narrative texts focused on the requirements of the end user. GReAT is an extraction based summary generation model which principle is to identify the user’s relevant information filtering the text by topic and frequency of words, also it reduces the number of phrases of the summary avoiding the duplication of information. Experimental results show that the functionality of GReAT improves the quality of the summary over other existing methods.
Ovarian Cancer: Can Proteomics Give New Insights for Therapy and Diagnosis?

The study of the ovarian proteomic profile represents a new frontier in ovarian cancer research, since this approach is able to enlighten the wide variety of post-translational events (such as glycosylation and phosphorylation). Due to the possibility of analyzing thousands of proteins, which could be simultaneously altered, comparative proteomics represent a promising model of possible biomarker discovery for ovarian cancer detection and monitoring. Moreover, defining signaling pathways in ovarian cancer cells through proteomic analysis offers the opportunity to design novel drugs and to optimize the use of molecularly targeted agents against crucial and biologically active pathways. Proteomic techniques provide more information about different histological types of ovarian cancer, cell growth and progression, genes related to tumor microenvironment and specific molecular targets predictive of response to chemotherapy than sequencing or microarrays. Estimates of specificity with proteomics are less consistent, but suggest a new role for combinations of biomarkers in early ovarian cancer diagnosis, such as the OVA1 test. Finally, the definition of the proteomic profiles in ovarian cancer would be accurate and effective in identifying which pathways are differentially altered, defining the most effective therapeutic regimen and eventually improving health outcomes.
3DBUFFBLESS: A novel buffered-bufferless hybrid router for 3D Networks-on-Chip

This paper presents the design, simulation implementation and evaluation of a novel 3D NoC router that combines buffered and bufferless routing. Our proposal is an asymmetrical router that is buffered in the z dimension and bufferless in the x- and y dimensions. Experimental results show that the proposed router effectively combines the advantages of both buffered and bufferless routers. Compared to baseline buffered-only and bufferless-only routers, by achieving higher routing efficiency and significantly higher performance than state-of-the-art bufferless routers, while maintaining low area and power consumption. According to the experimental results, the proposed router performance degrades more gracefully than a bufferless router's. More specifically, the proposed router achieves a latency improvement of 10–20% below the network saturation point (the traffic load value above which network performance degrades significantly) and 44–48% above, compared to 3D bufferless routers proposed in the literature, when prototyped in FPGA technology.
Modeling and harmonic analysis of a permanent magnet synchronous machine with turn-to-turn fault

This paper presents analytical models of a permanent magnet synchronous machine with a turn-to-turn fault, both in the stationary and in the synchronously-rotating reference frame. The models are used to investigate how a turn-to-turn fault impacts the harmonic content of the machine. These models can thus be a powerful tool in order to identify a specific behavior caused by the fault, which can be further utilized for fault detection and/or condition monitoring applications. It is shown that, due to the fault condition, the amplitude of the harmonics in the back-EMF changes compared with the pre-fault conditions; the amplitude change is dependent on the number or short-circuited turns in the winding. If a reduced number of short-circuited turns are considered (as typically the case at the beginning of the fault and as considered in this paper), the harmonic amplitude change is comparatively small and therefore difficult to detect. It is shown that a more powerful indication of the turn-to-turn fault is to monitor the current harmonic content in the rotating reference frame, where new harmonics are introduced due to the unbalance caused by the turn-to-turn fault.
An Activated Protein C Analog With Reduced Anticoagulant Activity Extends the Therapeutic Window of Tissue Plasminogen Activator for Ischemic Stroke in Rodents

Background and Purpose— Tissue plasminogen activator (tPA) is the only approved therapy for acute ischemic stroke. However, tPA has a brief therapeutic window. Its side effects include intracerebral bleeding and neurotoxicity. Therefore, a combination therapy with tPA and agents that can extend the therapeutic window of tPA and/or counteract its side effects are warranted. Here, we studied whether 3K3A-APC, a neuroprotective analog of activated protein C with reduced anticoagulant activity, can enhance the therapeutic effects of tPA in models of ischemic stroke in rodents. Methods— Human recombinant tPA (10 mg/kg), alone or in combination with human recombinant 3K3A-APC (2 mg/kg), was administered intravenously 4 hours after proximal or distal transient middle cerebral artery occlusion in mice and embolic stroke in rats. The 3K3A-APC was additionally administered for 3 to 4 consecutive days after stroke. The neuropathological and neurological analyses were performed at 1 to 7 days after stroke. Results— In all models, tPA alone had no effects on the infarct volume or behavior (ie, neurological score, foot-fault, forelimb asymmetry, adhesive removal) compared with vehicle. The tPA and 3K3A-APC combination therapy reduced the infarct volume 24 hours and 7 days after proximal or distal transient middle cerebral artery occlusion in mice and 7 days after embolic stroke in rats by 65%, 63%, and 52%, respectively, significantly (P<0.05) improved behavior and eliminated tPA-induced intracerebral microhemorrhages. Conclusions— The 3K3A-APC extends the therapeutic window of tPA for ischemic stroke in rodents. Therefore, this combination therapy also should be considered for treating stroke in humans.
Adaptation of Fuzzy Inferencing: A Survey

Fuzzy inference has numerous applications, ranging from control to forecasting. A number of researchers have suggested how such systems can be tuned during application to enhance inference performance. Inference parameters that can be tuned include the central tendency and dispersion of the input and output fuzzy membership functions, the rule base, the cardinality of the fuzzy membership function sets, the shapes of the membership functions and the parameters of the fuzzy AND and OR operations. In this paper, an overview of these tuning procedures is given. An extensive bibliography is provided of recent literature on
Mechanisms and management of toxicities associated with high-dose interferon alfa-2b therapy.

PURPOSE The toxicity associated with adjuvant high-dose interferon-alfa-2b therapy (HDI) for high-risk melanoma can lead to premature discontinuation. It is important to understand the expected adverse events and their underlying mechanisms and to anticipate and aggressively manage toxicity during treatment in order to ensure that patients receive the maximum therapeutic benefit. METHODS The toxicity profile of HDI was reviewed by examining data from the United States cooperative group trials. Available published data related to the potential mechanisms responsible for the observed adverse events are discussed, and comprehensive recommendations for managing side effects are presented. RESULTS The HDI regimen is associated with acute constitutional symptoms, chronic fatigue, myelosuppression, elevated liver enzyme levels, and neurologic symptoms. The majority of patients tolerate 1 year of therapy with an understanding of the anticipated toxicities in conjunction with appropriate dose modifications and supportive care. Ongoing monitoring for liver dysfunction and hematologic toxicity is critical to ensure safety. Many of the toxicities associated with interferon-alfa (IFN-alpha) seem to be the result of endogenous cytokines and their effects on the neuroendocrine system. Recent data have also demonstrated that IFN-alpha suppresses the activity of specific CYP450 isoenzymes and that this correlates with discrete toxicities. Pharmacologic interventions are under study for fatigue and depression. An increased understanding of the mechanisms of IFN-alpha-associated toxicity will lead to more rational and effective supportive care and improved quality of life. CONCLUSION Continued research in this area should lead to improvements in the safety and tolerability of adjuvant therapy for melanoma.
Neurology of ciguatera

Ciguatera is a widespread ichthyosarcotoxaemia with dramatic and clinically important neurological features. This severe form of fish poisoning may present with either acute or chronic intoxication syndromes and constitutes a global health problem. Ciguatera poisoning is little known in temperate countries as a potentially global problem associated with human ingestion of large carnivorous fish that harbour the bioaccumulated ciguatoxins of the photosynthetic dinoflagellateGambierdiscus toxicus. This neurotoxin is stored in the viscera of fish that have eaten the dinoflagellate and concentrated it upwards throughout the food chain towards progressively larger species, including humans. Ciguatoxin accumulates in all fish tissues, especially the liver and viscera, of “at risk” species. Both Pacific (P-CTX-1) and Caribbean (C-CTX-1) ciguatoxins are heat stable polyether toxins and pose a health risk at concentrations above 0.1 ppb. The presenting signs of ciguatera are primarily neurotoxic in more than 80% of cases. Such include the pathognomonic features of postingestion paraesthesiae, dysaesthesiae, and heightened nociperception. Other sensory abnormalities include the subjective features of metallic taste, pruritis, arthralgia, myalgia, and dental pain. Cerebellar dysfunction, sometimes diphasic, and weakness due to both neuropathy and polymyositis may be encountered. Autonomic dysfunction leads to hypotension, bradycardia, and hypersalivation in severe cases. Ciguatoxins are potent, lipophilic sodium channel activator toxins which bind to the voltage sensitive (site 5) sodium channel on the cell membranes of all excitable tissues. Treatment depends on early diagnosis and the early administration of intravenous mannitol. The early identification of the neurological features in sentinel patients has the potential to reduce the number of secondary cases in cluster outbreaks.
Annealed Theories of Learning

We study annealed theories of learning boolean functions using a concept class of nite cardinality. The naive annealed theory can be used to derive a universal learning curve bound for zero temperature learning, similar to the inverse square root bound from the Vapnik-Chervonenkis theory. Tighter, nonuniversal learning curve bounds are also derived. A more reened annealed theory leads to still tighter bounds, which in some cases are very similar to results previously obtained using one-step replica symmetry breaking.
Narrative Peak Detection in Short-Form Documentaries Using Speech Recognition Transcripts

Narrative peaks are points at which the viewer perceives a spike in the level of dramatic tension within the narrative flow of a video. In this paper we describe two approaches for automatic identification of narrative peaks in short-form documentaries, within the framework of the VideoCLEF 2009 Affect Detection task. Both approaches exploit the speech recognition transcript in order to identify the narrative peaks. Our first approach is based on the idea that speech rate increases with high arousal and intensity and the second approach on the idea that narrative peaks are perceived where particular lexical items are used. These approaches are compared to a challenging baseline that predicts the presence of narrative peaks at fixed points in the video, presumed to be dictated by natural narrative rhythm or production convention. The second approach easily outperforms the challenge baseline while the first approach failed to achieve the performance level of the random baseline detector.
Challenges in developing novel therapies for peripheral neuropathies: a summary of The Foundation for Peripheral Neuropathy Scientific Symposium 2012

On March 14–16, 2012, The Foundation for Peripheral Neuropathy organized a scientific meeting that brought together basic and clinical scientists studying peripheral neuropathies and mechanisms of axonal degeneration and representatives from the drug industry, National Institutes of Health, and Federal Drug Administration. This meeting summary covers the main discussion points laid out by the participants that hamper development of novel therapies for peripheral neuropathies and neuropathic pain. In each section of the meeting, the discussion was led by a keynote talk and was followed by a panel of discussants that were asked to bring two key questions in their areas of research. With audience participation, this format led to a lively discussion that pointed out the deficiencies in both animal modeling of human diseases and issues in clinical trial design unique to the peripheral neuropathies and neuropathic pain.
Energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching

In this paper, we study the energy-efficient resource allocation in software-defined mobile networks with mobile edge computing and caching. With the introduction of caching and computing functions in mobile networks, content sources need to be selected according to the distribution of contents in caches, the capability of computational resources and the status of networks. Moreover, the network needs to provision bandwidth on each link for data flows from the source to the destination by allocating backhaul and radio resources. In this framework, we formulate a novel optimization problem to jointly consider bandwidth provisioning and content source selection. To solve this problem efficiently, firstly the content source selection problem is decoupled from the bandwidth provisioning problem by deploying dual-decomposition method. Additionally, based on alternating direction method of multipliers, we develop decentralized schemes to solve the decoupled problems across links and base stations coordinated by a central controller. Simulation results are presented to show the performance of the proposed scheme.