Miracle-dz/UniFAR-FTUs huggingface dataset:
Research on Method of Case Representation and Retrieval in Centrifugal Compressor Fault Diagnosis

According to the characteristic of centrifugal compressor fault, the case representation method was proposed. The heterogeneous attribute set structure was designed in detail. The length of attribute set was not fixed for different cases. The attribute weight of each case was calculated by three-scale Analytic Hierarchy Process (AHP). Then the improved nearest neighbor algorithm was proposed to calculate the similarity degree of cases, by which, cases were matched accurately based on attribute name, attribute value and weight and the structure similarity of attribute set of cases was measured. The resolution of similarity degree was high and the shortcomings of traditional nearest neighbor algorithm that fail to compute the similarity of heterogeneous cases were overcome. Finally, an actual example was analyzed and it’s proved that the similar cases can be retrieved accurately and the method can provide reliable reasoning basis for fault diagnosis of centrifugal compressor.
Synergistic terpene combinations as larvicides against the dengue vector Aedes aegypti Linn.

Most of the essential oils (EO) known for mosquitocidal activity contain terpenes as part of their chemical constituents. In this study, four monoterpenes namely γ‐terpinene (T), R‐(+)‐limonene (L), carvacrol (C), and trans‐anethole (A) were screened against late third instar Aedes aegypti Linn. larvae singly and in combination to find out the synergistic interaction. The monoterpenes γ‐terpinene, R‐(+)‐limonene, trans‐anethole, and carvacrol showed larvicidal activity with LC50 values of 9.76, 11.88, 50.19, 48.57 ppm and LC90 values of 16.99, 17.78, 65.21, 75.02 ppm, respectively for Ae. aegypti when tested individually. Prepared binary combinations at LC20 values and studied the synergistic interactions based on cotoxicity factor (CTF) and found that all the binary combinations showed synergistic interactions (CTF > 20). Further, the binary (1:1), ternary (1:1:1), and quaternary (1:1:1:1) terpene combinations on equal weight basis were prepared, evaluated against Ae. aegypti larvae and synergistic interactions were studied by Wadley's method. Among the eight combinations two combinations viz. LC (LC5010.42 ppm) and LA (LC5011.86 ppm) were showing synergistic interactions (R > 1.5) and others were exhibiting additive effect (1.5 ≥ R > 0.5) and none of the combinations showed antagonism (R < 0.5). Among the two methods used the Wadley's method found suitable when combinations were made on an equal weight basis. The two binary combinations found in this study are promising synergistic mixtures which has scope in designing mosquito larvicidal EOs by enriching the EOs with terpenes or by producing EO combinations with these terpenes as chemical constituents in the correct proportions.
MiR‐137 knockdown promotes the osteogenic differentiation of human adipose‐derived stem cells via the LSD1/BMP2/SMAD4 signaling network

MicroRNAs are a group of endogenous regulators that participate in several cellular physiological processes. However, the role of miR‐137 in the osteogenic differentiation of human adipose‐derived stem cells (hASCs) has not been reported. This study verified a general downward trend in miR‐137 expression during the osteogenic differentiation of hASCs. MiR‐137 knockdown promoted the osteogenesis of hASCs in vitro and in vivo. Mechanistically, inhibition of miR‐137 activated the bone morphogenetic protein 2 (BMP2)‐mothers against the decapentaplegic homolog 4 (SMAD4) pathway, whereas repressed lysine‐specific histone demethylase 1 (LSD1), which was confirmed as a negative regulator of osteogenesis in our previous studies. Furthermore, LSD1 knockdown enhanced the expression of BMP2 and SMAD4, suggesting the coordination of LSD1 in the osteogenic regulation of miR‐137. This study indicated that miR‐137 negatively regulated the osteogenic differentiation of hASCs via the LSD1/BMP2/SMAD4 signaling network, revealing a new potential therapeutic target of hASC‐based bone tissue engineering.
Reactive Oxygen Species-Dependent Calpain Activation Contributes to Airway and Pulmonary Vascular Remodeling in Chronic Obstructive Pulmonary Disease.

Aims: Airway and pulmonary vascular remodeling is an important pathological feature in the pathogenesis of chronic obstructive pulmonary disease (COPD). Tobacco smoke (TS) induces the production of large amounts of reactive oxygen species (ROS) in COPD lungs. We investigated how ROS lead to airway and pulmonary vascular remodeling in COPD. Results: We used in vitro bronchial and pulmonary artery smooth muscle cells (BSMCs and PASMCs), in vivo TS-induced COPD rodent models, and lung tissues of COPD patients. We found that H2O2 and TS extract (TSE) induced calpain activation in BSMCs and PASMCs. Calpain activation was elevated in smooth muscle of bronchi and pulmonary arterioles in COPD patients and TS-induced COPD rodent models. Calpain inhibition attenuated H2O2- and TSE-induced collagen synthesis and proliferation of BSMCs and PASMCs. Exposure to TS causes increases in airway resistance, right ventricular systolic pressure (RVSP), and thickening of bronchi and pulmonary arteries. Calpain inhibition by smooth muscle-specific knockout of calpain and the calpain inhibitor MDL28170 attenuated increases in airway resistance, RVSP, and thickening of bronchi and pulmonary arteries. Moreover, smooth muscle-specific knockout of calpain did not reduce TS-induced emphysema in the mouse model, but MDL28170 did reduce TS-induced emphysema in the rat model. Innovation: This study provides the first evidence that ROS-induced calpain activation contributes to airway and pulmonary vascular remodeling in TS-induced COPD. Calpain might be a novel therapeutic target for the treatment of COPD. Conclusion: These results indicate that ROS-induced calpain activation contributes to airway and pulmonary vascular remodeling and pulmonary hypertension in COPD.
Prediction of Protein-Protein Interactions Using Bayesian Networks

Interactions among proteins are essential to almost all cellular functions. Several experimental and computational methods have been proposed to discover protein-protein interactions (PPI). However the reliability of these interactions is still challenging. Our motivation is to more reliably predict protein-protein interactions by mining and combining multiple biologically significant data. By integrating function catalog and biological process data, especially domain fusion data in Bayesian networks, a considerable number of putative PPI was predicted. In addition to the large number of predicted PPI, the main contribution of our work is predicting more reliable PPI by combining both protein information and domain information. Experimental results demonstrated the reliability of predicted PPI in three main points: (i) the large number of overlapped interactions between predicted PPI set and two well-known PPI databases, (ii) the large number of domain-domain interactions covered by predicted PPI, and (iii) the physical properties of predicted PPI.
Mapping the global prevalence of bovine viral diarrhoea virus infection and its associated mitigation programmes

The aim of this study was to collect information on the global distribution of the prevalence of bovine viral diarrhoea virus (BVDV) and respective mitigation programmes, using a questionnaire and literature review to provide as complete a picture of the worldwide BVDV situation as possible. This study collated information on 107 countries with respect to mitigation activities and 88 countries regarding BVDV infections during the observation period (1960–2017). A heterogeneous epidemiological situation for both BVDV prevalence and the presence of mitigation programmes was observed. The results of this analysis could be used to increase the visibility of the distribution of BVDV, to provide supporting data for global animal disease databases and to assist veterinary public health authorities in the decision-making processes to establish mitigation activities.
Feature Analyses for Catchphrases Using Multiple Corpora

Catchphrases attract attention in a form of concise expressions; however, there are few researches which investigate them using the knowledge of natural language processing. First, for the analysis based on language engineering, we employed a catchphrase corpus containing 6,466 catchphrases, an encyclopedia corpus, a blog corpus and a dialog corpus. Moreover, we conducted an analysis on each theme for revealing the difference between themes on the catchphrase corpus. The result from the language engineering shows that forward parts of speeches tagging in the catchphrase corpus are similar to those of both the encyclopedia and blog corpora. In terms of backward parts of speeches tagging, a lot of catchphrases end with nouns, which differentiates the other corpora. In addition, for each theme in catchphrase corpus, we found that specific words such as “taste” and “skin” frequently appear.
Am improved tail current source for low voltage applications

A new current source for low-voltage applications is proposed. This current source is well suited for biasing differential pairs and source followers. Measured compliance voltage is slightly smaller than that of a single transistor. Its output resistance is a factor of 25 larger than that of a single transistor current source and was measured to be 8 M/spl Omega/. The use of the new current source improves the common-mode input range and the common-mode rejection ratio of fully balanced and single-ended differential amplifiers.
Inhibitory Effect of Sestrin 2 on Hepatic Stellate Cell Activation and Liver Fibrosis.

Aims: Hepatic fibrosis results from chronic liver injury and inflammatory responses. Sestrin 2 (Sesn2), an evolutionarily conserved antioxidant enzyme, reduces the severities of acute hepatitis and metabolic liver diseases. However, the role of Sesn2 in the pathogenesis of liver fibrosis remains obscure. Here, we used cultured hepatic stellate cells (HSCs) and chronic carbon tetrachloride (CCl4) and bile duct ligation (BDL) murine models to investigate the effects of Sesn2 on fibrogenesis. Results: Sesn2 protein and mRNA levels were upregulated in activated primary HSCs, and by increasing transcription, transforming growth factor-β (TGF-β) also increased Sesn2 expression in HSCs. Furthermore, Smad activation was primarily initiated by TGF-β signaling, and Smad3 activation increased Sesn2 luciferase activity. In silico analysis of the 5' upstream region of the Sesn2 gene revealed a putative Smad-binding element (SBE), and its deletion demonstrated that the SBE between -964 and -956 bp within human Sesn2 promoter was critically required for TGF-β-mediated response. Moreover, ectopic expression of Sesn2 reduced gene expressions associated with HSC activation, and this was accompanied by marked decreases in SBE luciferase activity and Smad phosphorylation. Infection of recombinant adenovirus Sesn2 reduced hepatic injury severity, as evidenced by reductions in CCl4- or BDL-induced alanine aminotransferase and aspartate aminotransferase, and inhibited collagen accumulation. Furthermore, HSC-specific lentiviral delivery of Sesn2 prevented CCl4-induced liver fibrosis. Finally, Sesn2 expression was downregulated in the livers of patients with liver cirrhosis and in mouse models of hepatic fibrosis. Innovation and Conclusion: Our findings suggest that Sesn2 has the potential to inhibit HSC activation and hepatic fibrosis.
DYNAMIC RIGHT-SIZING IN TCP.

With the widespread arrival of bandwidth-intensive ap- plications such as bulk-data transfer, multi-media web streaming and computational grids for high-performance computing, networking performance over the wide-area network has become a critical compo- nent in the infrastructure. Tragically, operating systems are still tuned for yesterday's WAN speeds and network applications. As a result, a painstaking process of manually tuning system buffers must be un- dertaken to make TCP flow-control scale to meet the needs of today's bandwidth-rich networks. Consequently, we propose an operating sys- tem technique called dynamic right-sizing that eliminates the need for this manual process. Previous work has also attacked this problem, but with less than complete solutions. Our solution is more efficient, more transparent, and applies to a wider set of applications, including those that require strict flow-control semantics because of performance disparities between the sender and receiver.
On Nonblocking Switching Networks Composed of Digital Symmetrical Matrices

Significant advances in semiconductor technology make it possible to construct new components called digital symmetrical matrices, which mix in the same integrated circuit, time and space switching. In this paper, structures of multistage nonblocking networks composed of such matrices are described. The condition under which the network will be nonblocking is formulated, and the relationship between the maximal capacity of the network and the number of switching stages is discussed. Formulas for designing optimal threeand five-stage networks are derived. It is shown that general multistage networks should have as few stages as possible for minimizing the cost.
Optimizing the Size of Platinum Nanoparticles for Enhanced Mass Activity in the Electrochemical Oxygen Reduction Reaction.

High oxygen reduction (ORR) activity has been for many years considered as the key to many energy applications. Herein, by combining theory and experiment we prepare Pt nanoparticles with optimal size for the efficient ORR in proton-exchange-membrane fuel cells. Optimal nanoparticle sizes are predicted near 1, 2, and 3 nm by computational screening. To corroborate our computational results, we have addressed the challenge of approximately 1 nm sized Pt nanoparticle synthesis with a metal-organic framework (MOF) template approach. The electrocatalyst was characterized by HR-TEM, XPS, and its ORR activity was measured using a rotating disk electrode setup. The observed mass activities (0.87±0.14 A mgPt -1 ) are close to the computational prediction (0.99 A mgPt -1 ). We report the highest to date mass activity among pure Pt catalysts for the ORR within similar size range. The specific and mass activities are twice as high as the Tanaka commercial Pt/C catalysis.
Optic and echo-acoustic flow interact in bats

ABSTRACT Echolocating bats are known to fly and forage in complete darkness, using the echoes of their actively emitted calls to navigate and to detect prey. However, under dim light conditions many bats can also rely on vision. Many flying animals have been shown to navigate by optic flow information and, recently, bats were shown to exploit echo-acoustic flow to navigate through dark habitats. Here, we show for the bat Phyllostomus discolor that, in lighted habitats where self-motion-induced optic flow is strong, optic and echo-acoustic flow interact to guide navigation. Echo-acoustic flow showed a surprisingly strong effect compared with optic flow. We thus demonstrate multimodal interaction between two far-ranging spatial senses, vision and echolocation, available in this combination almost exclusively in bats and toothed whales. Our results highlight the importance of merging information from different sensory systems in a sensory-specialist animal to successfully navigate and hunt under difficult conditions. Summary: Flying bats respond to both optic and echo-acoustic flow and rely on a weighted integration of the two cues for manoeuvring in light and dark environments.
The Implementation of a Network Traffic Detection Model Based on GPU and CPU Heterogeneous Platform

The technology of network traffic detection is very important in the area of network managing, network monitoring and network security. The network traffics are sharply increasing along with the growing of the Internet. Because of the hardware limitation, the traditional traffic detection method can not meet the requirement of detecting gigabit high-speed network in real-time. A network traffic detection model based on GPU and CPU heterogeneous platform is proposed. This detection model makes some simplification and changes of the AC algorithm. It can take the advantage of the excellent parallel computing capability of GPU to speed up the string matching module which costs the most of the time in the detection. Experiments show that the detecting speed of GPU and CPU heterogeneous model is much faster than that of the traditional model.
Instance-based reinforcement learning for robot path finding in continuous space

This paper presents two methods of shaping autonomous mobile robots within a framework of instance-based reinforcement learning. The first one is instance-based classifier generator, which is used to learn primitive behaviors. The second one is reinforcement learning based on behavior sequence memory, which is used to learn optimal path and to distinguish hidden states. Learning capability of the proposed methods is confirmed through a path-finding task of a mobile robot in continuous space. Simulation results demonstrate that the robot can acquire behaviors such as light-seeking, collision-avoidance and wall-following, and it can also find the optimal paths in the alternately changing environments.
Infantile hemangioma: Efficacy of low‐dose propranolol and of intralesional bleomycin injection for propranolol non‐response

Infantile hemangioma (IH) is the most common form of benign childhood vascular tumor. Most resolve spontaneously, but treatment is recommended in patients who develop complication. Propranolol is recommended as the first‐line therapy, while the treatment in the case of non‐response to first‐line therapy depends on the clinical experiences of each center. The aim of this study was to investigate the efficacy of low‐dose propranolol in the treatment of IH, and the outcomes of percutaneous intralesional bleomycin injection (IBI) in patients unresponsive to propranolol.
Fermentation Technology in the Development of Functional Foods for Human Health: Where We Should Head.

1National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, USA 2Shahid Beheshti University of Medical Sciences, National Nutrition and Food Technology Research Institute, Tehran, Iran 3Institute of Experimental Medicine, Pavol Josef Safarik University of Kosice, Slovakia 4Dept of Internal Medicine, University of Catania, Catania, Italy 5ReGenera Research Group for Aging-Intervention, Milano, Italy
CPG-based Locomotion Controller Design for a Boxfish-like Robot

This paper focuses on a Central Pattern Generator (CPG)-based locomotion controller design for a boxfish-like robot. The bio-inspired controller is aimed at flexible switching in multiple 3D swimming patterns and exact attitude control of yaw and roll such that the robot will swim more like a real boxfish. The CPG network comprises two layers, the lower layer is the network of coupled linear oscillators and the upper is the transition layer where the lower-dimensional locomotion stimuli are transformed into the higher-dimensional control parameters serving for all the oscillators. Based on such a two-layer framework, flexible switching between multiple three-dimensional swimming patterns, such as swimming forwards/backwards, turning left/right, swimming upwards/downwards and rolling clockwise/counter-clockwise, can be simply realized by inputting different stimuli. Moreover, the stability of the CPG network is strictly proved to guarantee the intrinsic stability of the swimming patterns. As to exact attitude control, based on this open-loop CPG network and the sensory feedback from the Inertial Measurement Unit (IMU), a closed-loop CPG controller is advanced for yaw and roll control of the robotic fish for the first time. This CPG-based online attitude control for a robotic fish will greatly facilitate high-level practical underwater applications. A series of relevant experiments with the robotic fish are conducted systematically to validate the effectiveness and stability of the open-loop and closed-loop CPG controllers.
Dynamic bandwidth allocation for VBR video transport

We discuss a source model for VBR video traffic, and present an application to dynamic bandwidth allocation of the model. A two-state Markov chain model is used to extract useful parameters for adaptively allocating transmission bandwidth to variable-bit-rate traffic. The performance of our dynamic bandwidth allocation scheme has been compared with other schemes for both a homogeneous and a heterogeneous mix of traffic. Simulation results show that our dynamic bandwidth allocation scheme outperforms the static allocation or the low-pass filter scheme.
The Use of Interactive Situation Models for the Development of Business Solutions

An interactive situation model (ISM) is a novel computer artefact used to represent state-as-experi-enced. The meaning of an ISM is the perceived association between the state of the ISM and the state of its real-world referent during arbitrary interactions. The concept leads to a quality of modelling radically different from conventional computer-hosed modelling. This is illustrated by ISMs for timetabling, railway operation, warehouse and restaurant management. This approach to modelling represents a paradigm shift from a 'method-tool-user' culture to one where the computer-as-agent integrates more closely and flexibly with human and business activities.
Scanning tunneling microscopy (STM) applications to molecular electronics

The authors describe their efforts to use STM to image and manipulate biomolecular structures such a collagen. They present design considerations for a precursor to the nanotechnology workstation: a two-tip STM. The authors also note some future possibilities for scanning tunneling engineering and for nanoscale tunnel sensors and devices. <<ETX>>
Using rate monotonic scheduling technology for real-time communications in a wormhole network

The demand for systems with predictable communication delays is growing as the number of applications for real-time systems expands. We present a design for guaranteeing deadline constraints for real-time communications in a wormhole network. An important feature of the design is that it requires few changes to current wormhole networks that support logical channels. The design approach applies rate monotonic scheduling technology to wormhole networks, which allows us to verify whether an assignment of real-time traffic can have deadlines guaranteed. We provide a tool that analyzes the feasibility of real-time traffic assignments, which aids designers who develop applications that use real-time communication features of a wormhole network. <<ETX>>
Simulation Studies of Silica and High K Oxide Contained MOS Circuits (45nm, 32nm and 22nm) for Power Dissipation Reduction

Advances in semiconductor technology lead to the advancements in integrated circuits which have enhanced performance, reliability, cost effective, low power consumption, etc. To build a complex digital circuitry, millions of transistors are to be embedded onto a single chip to increase the performance and to improve the reliability of the electronic device. This paper aims at building of N-MOSFET, P-MOSFET, CMOS inverter and NAND gate using conventional SiO2 oxide layer and high k oxide layer each of 45nm, 32nm and 22nm technologies respectively and to determine the percentage reduction in power dissipation using high k oxide layer in each device. The above mentioned devices are built using an online Predictive Technology Model tool and H-Spice simulation software and the simulated results are compared.