Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy aware RAID configuration for data intensive applications in enterprise storages

Energy consumption of storage at data centres is increasing rapidly. Large storage facilities have various RAID configurations incorporating different RAID levels, numbers of drives, and media types. Nevertheless, few discussions of RAID configurations have been pursued from an energy-savings perspective. We first investigate how different RAID configurations affect not only application performance but also power consumption of storage installations. We then present the simulation results for power consumption and application performance obtained using various RAID configurations. These results reveal that a RAID configuration strongly impacts energy conservation based on application I/O features.
Design Method for Circularly Polarized Fabry–Perot Cavity Antennas

A new class of circularly polarized (CP) Fabry-Perot cavity antennas is introduced that maintain the simplicity of a linearly polarized primary feed and a single cavity structure. The proposed antennas employ a double-sided partially reflective surface (PRS), which allows independent control of the magnitude and phase responses for the reflection and transmission coefficients. In conjunction with an anisotropic high-impedance surface (HIS) ground plane, this arrangement allows for the first time a single cavity antenna to produce a specified gain in CP from a linearly polarized primary source. A design procedure for this class of antennas is introduced. The method exploits a simple ray optics model to calculate the magnitude and phase of the electric field in the cavity upon plane wave excitation. Based on this model, analytical expressions are derived, which enforce the resonance condition for both polarizations at a predetermined PRS reflectivity (and hence predetermined antenna gain) together with a 90 ° differential phase between them. The validity of the concept is confirmed by means of an example entailing an antenna with gain of approximately 21 dB at 15 GHz. Full-wave simulation results and experimental testing on a fabricated prototype are presented and agree well with the theoretical predictions.
A Robust Wavelet-Domain Watermarking Algorithm for Color Image

This paper presents a chaos-based watermarking algorithm in the wavelet transform domain for color images. In contrast to conventional approaches, in which the wavelet transform coefficient is used for watermarking and the whole image is transformed into frequency coefficient, the wavelet transform is applied only to local subblock. DWT is used to transform the subimage, which is extracted from the original image randomly. And then the watermark image is adaptively embedded into part of the subband coefficients by computing their statistic characteristic. Without using the original image, the watermark is extracted by computing the statistic summation of the watermarked detail coefficients, where the threshold is chosen. Simulation results show that the proposed method possesses high fidelity and high robustness, especially under the typical attack of geometric operations
Muscle and Tendon Interaction During Human Movements

FUKUNAGA, T. , Y. KAWAKAMI, K. KUBO, and H. KANEHISA. Muscle and tendon interactions during human movements. Exerc. Sport Sci. Rev., Vol. 30, No. 3, pp. 106–110, 2002. Muscle and tendon interaction was estimated in vivo by real-time ultrasonography. Differences between muscles in internal muscle-fiber shortening during isometric actions are due to the elastic properties of tendon. Compliant human tendons allow muscles to contract isometrically during many human movements for efficient force generation.
Organization of chromatin and histone modifications at a transcription site

According to the transcription factory model, localized transcription sites composed of immobilized polymerase molecules transcribe chromatin by reeling it through the transcription site and extruding it to form a surrounding domain of recently transcribed decondensed chromatin. Although transcription sites have been identified in various cells, surrounding domains of recently transcribed decondensed chromatin have not. We report evidence that transcription sites associated with a tandem gene array in mouse cells are indeed surrounded by or adjacent to a domain of decondensed chromatin composed of sequences from the gene array. Formation of this decondensed domain requires transcription and topoisomerase IIα activity. The decondensed domain is enriched for the trimethyl H3K36 mark that is associated with recently transcribed chromatin in yeast and several mammalian systems. Consistent with this, chromatin immunoprecipitation demonstrates a comparable enrichment of this mark in transcribed sequences at the tandem gene array. These results provide new support for the pol II factory model, in which an immobilized polymerase molecule extrudes decondensed, transcribed sequences into its surroundings.
A Modified Iterative Water-filling Algorithm with Per-iteration Power Normalization in Multiuser MMSE-Precoded MIMO Systems

In this paper, we deal with an optimum per-user power allocation problem in terms of the sum capacity in multiuser multiple input multiple output (MU-MIMO) downlink systems when the minimum mean square error (MMSE) scheme has been used for multiuser preceding. However, MMSE preceding allows some inter-user interference. In this paper, we propose a modified iterative water-filling (MIWF) algorithm with per-iteration power normalization (PIPN) in multiuser MMSE-precoded MIMO systems. In the proposed algorithm, power levels for respectacle users are re-adjusted prior to the consecutive iteration, so that the total transmit power constraint should be satisfied. This normalization can reduce greatly the number of iterations for the iterative water-filling process since the inter-user interference terms at every iteration can be computed more accurately without performance degradation. From computer simulations and complexity analyses, we see that the proposed algorithm has lower complexity but with the same capacity as compared with the original MIWF algorithm.
Modulators of cancer cell invasiveness

Cell invasiveness is essential for cancer metastasis. Many proteins, and more recently also non‐coding RNAs, particularly microRNAs (miRNAs), have been reported to affect the cell invasiveness of various cancers. There is an apparent gap between the high number of these macromolecules and the low number of signaling pathways experimentally verified to control cancer invasiveness. We have brought together these various proteins and RNAs because we could not find any publication that filled this important gap. We have noted 589 proteins, 28 miRNAs, and 1 long non‐coding RNA that are reported to modulate invasiveness in cells of various cancers. Interestingly, 44 proteins enhance invasiveness in cells of some cancers, but suppress it in cells of others. Almost all of the proteins that show experimentally verified activation/inhibition effects on, or binding interactions with, each other are linked together in a single network, in a “hub‐and‐spoke” architecture. The accumulated data show trends that point to anticipated future results and highlight gaps in what is known about invasiveness signaling. Identification of cancer invasiveness signaling networks is important for combination and personalized targeted therapies of cancers. J. Cell. Biochem. 111: 791–796, 2010. © 2010 Wiley‐Liss, Inc.
Pervasive e-healthcare system based on self-adaptability of SOA to the context

The Integration of distributed information systems, autonomous, heterogeneous and adaptable to the context represent the current needs of system information. Based on the advanced technology of SOA, Web services can evolve in a dynamic environment in a well-defined context and according to events automatically, such as time, temperature, location, authentication, etc. This is what we call self-adaptability to context. In this paper, we are interested in improving the different needs of this criterion and we propose a new approach towards a self-adaptability of SOA to the context based on workflow and showing the feasibility of this approach in the pervasive e-healthcare system.
Integrating Fine-Grained Message Passing in Cache Coherent Shared Memory Multiprocessors

This paper considers the use of data prefetching and an alternative mechanism, data forwarding, for reducing memory latency caused by interprocessor communication in cache coherent, shared memory multiprocessors. Data prefetching is accomplished by using a multiprocessor software pipelined algorithm. Data forwarding is used to target interprocessor data communication, rather than synchronization, and is applied to communication-related accesses between successive parallel loops. Prefetching and forwarding are each shown to be more effective for certain types of architectural and application characteristics. Given this result, a new hybrid prefetching and forwarding approach is proposed and evaluated that allows the relative amounts of prefetching and forwarding used to be adapted to these characteristics. When compared to prefetching or forwarding alone, the new hybrid scheme is shown to increase performance stability over varying application characteristics, to reduce processor instruction overheads, cache miss ratios, and memory system bandwidth requirements, and to reduce performance sensitivity to architectural parameters such as cache size. Algorithms for data prefetching, data forwarding, and hybrid prefetching and forwarding are described. These algorithms are applied by using a parallelizing compiler and are evaluated via execution-driven simulations of large, optimized, numerical application codes with loop-level and vector parallelism.
Identification and Characterization of Novel Matrix-Derived Bioactive Peptides: A Role for Collagenase from Santyl® Ointment in Post-Debridement Wound Healing?

Debridement, the removal of diseased, nonviable tissue, is critical for clinicians to readily assess wound status and prepare the wound bed for advanced therapeutics or downstream active healing. Removing necrotic slough and eschar through surgical or mechanical methods is less specific and may be painful for patients. Enzymatic debridement agents, such as Clostridial collagenase, selectively and painlessly degrade devitalized tissue. In addition to its debriding activities, highly-purified Clostridial collagenase actively promotes healing, and our past studies reveal that extracellular matrices digested with this enzyme yield peptides that activate cellular migratory, proliferative and angiogenic responses to injury in vitro, and promote wound closure in vivo. Intriguingly, while collagenase Santyl® ointment, a sterile preparation containing Clostridial collagenases and other non-specific proteases, is a well-accepted enzymatic debridement agent, its role as an active healing entity has never been established. Based on our previous studies of pure Clostridial collagenase, we now ask whether the mixture of enzymes contained within Santyl® produces matrix-derived peptides that promote cellular injury responses in vitro and stimulate wound closure in vivo. Here, we identify novel collagen fragments, along with collagen-associated peptides derived from thrombospondin-1, multimerin-1, fibronectin, TGFβ-induced protein ig-h3 and tenascin-C, generated from Santyl® collagenase-digested human dermal capillary endothelial and fibroblastic matrices, which increase cell proliferation and angiogenic remodeling in vitro by 50–100% over controls. Using an established model of impaired healing, we further demonstrate a specific dose of collagenase from Santyl® ointment, as well as the newly-identified and chemically-synthesized ECM-derived peptides significantly increase wound re-epithelialization by 60–100% over saline-treated controls. These results not only confirm and extend our earlier studies using purified collagenase- and matrix-derived peptides to stimulate healing in vitro and in vivo, but these Santyl®-generated, matrix-derived peptides may also represent exciting new opportunities for creating advanced wound healing therapies that are enabled by enzymatic debridement and potentially go beyond debridement.
Necdin Promotes Ubiquitin-Dependent Degradation of PIAS1 SUMO E3 Ligase

Necdin, a pleiotropic protein that promotes differentiation and survival of mammalian neurons, is a member of MAGE (melanoma antigen) family proteins that share a highly conserved MAGE homology domain. Several MAGE proteins interact with ubiquitin E3 ligases and modulate their activities. However, it remains unknown whether MAGE family proteins interact with SUMO (small ubiquitin-like modifier) E3 ligases such as PIAS (protein inhibitor of activated STAT) family, Nsmce2/Mms21 and Cbx4/Pc2. In the present study, we examined whether necdin interacts with these SUMO E3 ligases. Co-immunoprecipitation analysis revealed that necdin, MAGED1, MAGEF1 and MAGEL2 bound to PIAS1 but not to Nsmce2 or Cbx4. These SUMO E3 ligases bound to MAGEA1 but failed to interact with necdin-like 2/MAGEG1. Necdin bound to PIAS1 central domains that are highly conserved among PIAS family proteins and suppressed PIAS1-dependent sumoylation of the substrates STAT1 and PML (promyelocytic leukemia protein). Remarkably, necdin promoted degradation of PIAS1 via the ubiquitin-proteasome pathway. In transfected HEK293A cells, amino- and carboxyl-terminally truncated mutants of PIAS1 bound to necdin but failed to undergo necdin-dependent ubiquitination. Both PIAS1 and necdin were associated with the nuclear matrix, where the PIAS1 terminal deletion mutants failed to localize, implying that the nuclear matrix is indispensable for necdin-dependent ubiquitination of PIAS1. Our data suggest that necdin suppresses PIAS1 both by inhibiting SUMO E3 ligase activity and by promoting ubiquitin-dependent degradation.
Improving the Performance Stability of Inductive Expert Systems Under Input Noise

Inductive expert systems typically operate with imperfect or noisy input attributes. We study design differences in inductive expert systems arising from implicit versus explicit handling of input noise. Most previous approaches use an implicit approach wherein inductive expert systems are constructed using input data of quality comparable to problems the system will be called upon to solve. We develop an explicit algorithm (ID3ecp) that uses a clean (without input errors) training set and an explicit measure of the input noise level and compare it to a traditional implicit algorithm, ID3p (the ID3 algorithm with the pessimistic pruning procedure). The novel feature of the explicit algorithm is that it injects noise in a controlled rather than random manner in order to reduce the performance variance due to noise. We show analytically that the implicit algorithm has the same expected partitioning behavior as the explicit algorithm. In contrast, however, the partitioning behavior of the explicit algorithm .
Patient health management system using e-health monitoring architecture

This paper illustrates the design and implementation of an e-health monitoring networked system. The architecture for this system is based on smart devices and wireless sensor networks for real time analysis of various parameters of patients. This system is aimed at developing a set of modules which can facilitate the diagnosis for the doctors through tele-monitoring of patients. It also facilitates continuous investigation of the patient for emergencies looked over by attendees and caregivers. A set of medical and environmental sensors are used to monitor the health as well as the surrounding of the patient. This sensor data is then relayed to the server using a smart device or a base station in close proximity. The doctors and caregivers monitor the patient in real time through the data received through the server. The medical history of each patient including medications and medical reports are stored on cloud for easy access and processing for logistics and prognosis of future complications. The architecture is so designed for monitoring a unitary patient privately at home as well as multiple patients in hospitals and public health care units. Use of smartphones to relay data over internet reduces the total cost of the system. We have also considered the privacy and security aspects of the system keeping the provision for selective authority for patients and their relatives to access the cloud storage as well as the possible threats to the system. We have also introduced a novel set of value added services through this paper which include Real Time Health Advice and Action (ReTiHA) and Parent monitoring for people with their family living abroad.
Identification of nucleocytoplasmic cycling as a remote sensor in cellular signaling by databased modeling

Considerable progress has been made in identifying the molecular composition of complex signaling networks controlling cell proliferation, differentiation, and survival. However, to discover general building principles and predict the dynamic behavior of signaling networks, it is necessary to develop quantitative models based on experimental observations. Here we report a mathematical model of the core module of the Janus family of kinases (JAK)–signal transducer and activator of transcription (STAT) signaling pathway based on time-resolved measurements of receptor and STAT5 phosphorylation. Applying the fitted model, we can determine the quantitative behavior of STAT5 populations not accessible to experimental measurement. By in silico investigations, we identify the parameters of nuclear shuttling as the most sensitive to perturbations and verify experimentally the model prediction that inhibition of nuclear export results in a reduced transcriptional yield. The model reveals that STAT5 undergoes rapid nucleocytoplasmic cycles, continuously coupling receptor activation and target gene transcription, thereby forming a remote sensor between nucleus and receptor. Thus, dynamic modeling of signaling pathways can promote functional understanding at the systems level.
Emerging Role of Nanomaterials in Circulating Tumor Cell Isolation and Analysis

Circulating tumor cells (CTCs) are low frequency cells found in the bloodstream after having been shed from a primary tumor. These cells are research targets because of the information they may potentially provide about both an individual cancer as well as the mechanisms through which cancer spreads in the process of metastasis. Established technologies exist for CTC isolation, but the recent progress and future of this field lie in nanomaterials. In this review, we provide perspective into historical CTC capture as well as current research being conducted, emphasizing the significance of the materials being used to fabricate these devices. The modern investigation into CTCs initially featured techniques that have since been commercialized. A major innovation in the field was the development of a microfluidic capture device, first fabricated in silicon and followed up with glass and thermopolymer devices. We then specifically highlight the technologies incorporating magnetic nanoparticles, carbon nanotubes, nanowires, nanopillars, nanofibers, and nanoroughened surfaces, graphene oxide and their fabrication methods. The nanoscale provides a new set of tools that has the potential to overcome current limitations associated with CTC capture and analysis. We believe the current trajectory of the field is in the direction of nanomaterials, allowing the improvements necessary to further CTC research.
In vitro biological screening of the anticholinesterase and antiproliferative activities of medicinal plants belonging to Annonaceae

The aim of this research was to investigate the antiproliferative and anticholinesterase activities of 11 extracts from 5 Annonaceae species in vitro. Antiproliferative activity was assessed using 10 human cancer cell lines. Thin-layer chromatography and a microplate assay were used to screen the extracts for acetylcholinesterase (AchE) inhibitors using Ellman's reagent. The chemical compositions of the active extracts were investigated using high performance liquid chromatography. Eleven extracts obtained from five Annonaceae plant species were active and were particularly effective against the UA251, NCI-470 lung, HT-29, NCI/ADR, and K-562 cell lines with growth inhibition (GI50) values of 0.04-0.06, 0.02-0.50, 0.01-0.12, 0.10-0.27, and 0.02-0.04 µg/mL, respectively. In addition, the Annona crassiflora and A. coriacea seed extracts were the most active among the tested extracts and the most effective against the tumor cell lines, with GI50 values below 8.90 µg/mL. The A. cacans extract displayed the lowest activity. Based on the microplate assay, the percent AchE inhibition of the extracts ranged from 12 to 52%, and the A. coriacea seed extract resulted in the greatest inhibition (52%). Caffeic acid, sinapic acid, and rutin were present at higher concentrations in the A. crassiflora seed samples. The A. coriacea seeds contained ferulic and sinapic acid. Overall, the results indicated that A. crassiflora and A. coriacea extracts have antiproliferative and anticholinesterase properties, which opens up new possibilities for alternative pharmacotherapy drugs.
Adverse events associated with MMR vaccines in Japan

The largest nationwide active surveillance of four Measles‐Mumps‐Rubella (MMR) vaccines was conducted in Japan. A total of 1255 pediatricians actively participated in the study, which comprised 8.6% of all members of the Japanese Pediatric Society. The total number of registered recipients of MMR vaccines was 38 203. They were arbitrarily given one of the MMR vaccines produced by three makers (Takeda, Osaka city, Kitasato Minato‐ku, Tokyo and Biken Suita city, Japan) or the standard MMR vaccine made of designated strains (Kitasato's measles‐AIK‐C, Biken's mumps‐Urabe Am9 and Takeda's rubella‐To336) produced by Takeda, Kitasato and Biken and were observed for 35 days.
Sponge Paleogenomics Reveals an Ancient Role for Carbonic Anhydrase in Skeletogenesis

Sponges (phylum Porifera) were prolific reef-building organisms during the Paleozoic and Mesozoic ∼542 to 65 million years ago. These ancient animals inherited components of the first multicellular skeletogenic toolkit from the last common ancestor of the Metazoa. Using a paleogenomics approach, including gene- and protein-expression techniques and phylogenetic reconstruction, we show that a molecular component of this toolkit was the precursor to the α-carbonic anhydrases (α-CAs), a gene family used by extant animals in a variety of fundamental physiological processes. We used the coralline demosponge Astrosclera willeyana, a “living fossil” that has survived from the Mesozoic, to provide insight into the evolution of the ability to biocalcify, and show that the α-CA family expanded from a single ancestral gene through several independent gene-duplication events in sponges and eumetazoans.
RNA sorting in Xenopus oocytes and embryos

Cytoplasmic localization of mRNA molecules has emerged as a powerful mechanism for generating spatially restricted gene expression. This process is an important contributor to cell polarity in both somatic cells and oocytes, and can provide the basis for patterning during embryonic development. In vertebrates, this phenomenon is perhaps best documented in the frog, Xenopus laevis, where polarity along the animal‐vegetal axis coincides with the localization of numerous mRNA molecules. Research over the last several years has made exciting progress toward understanding the molecular mechanisms underlying cytoplasmic mRNA localization. — Mowry, K. L. , Cote, C. A. RNA sorting in Xenopus oocytes and embryos. FASEB J. 13, 435–445 (1999)