Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of very old age on anconeus motor unit loss and compensatory remodelling

Introduction: It is not known how the process of compensatory remodeling through collateral reinnervation continues into very old age (>80 years) or whether there is a limit to effective motor unit (MU) reinnervation. Therefore, we explore electrophysiological properties related to motor unit number estimates (MUNEs) in very old participants (79–90 years of age) compared with young controls (25–29 years of age). Methods: Decomposition‐enhanced spike‐triggered averaging was used to collect surface and intramuscular electromyography information from the anconeus to derive a MUNE. Results: Young participants had a MUNE of ∼38 and ∼25 at 30% and 50% root mean squared maximum voluntary contraction (RMSMVC) with surface motor unit potentials (S‐MUPs) of ∼145 μV and 236 μV, respectively. Older participants had a MUNE of ∼23 and ∼16 at 30% and 50% RMSMVC with S‐MUPs of 168 μV and 232 μV, respectively. Discussion: In this muscle, an age limit to successful remodeling through collateral reinnervation, to compensate for the presumed ongoing losses of MUs, may have been surpassed. Muscle Nerve 57: 659–663, 2018
Improved Photophysical and Photochemical Properties of Thiopheneethoxy Substituted Metallophthalocyanines on Immobilization onto Gold‐speckled Silica Nanoparticles

This work reports on the synthesis of tetrakis‐[(thiophineethoxy) phthalocyaninato] indium(II) chloride (3). The photophysical behavior of complex 3 was compared to that of the Zn derivative (tetrakis‐[(thiophineethoxy) phthalocyaninato] zinc(II) (complex 2)). The compounds were interacted with gold‐speckled silica (GSS) nanoparticles via Au–S self assembly to afford the conjugates (2–GSS and 3–GSS). The photophysicochemical behavior of the compounds and their conjugates were assessed. The conjugates afforded a decrease in fluorescence quantum yields and lifetimes with improved triplet and singlet oxygen quantum yields in comparison with complexes 2 and 3 alone. The complexes and their conjugates could serve as good candidates for photodynamic therapy.
Hsa_circ_0001859 Regulates ATF2 Expression by Functioning as an MiR-204/211 Sponge in Human Rheumatoid Arthritis

Background circRNAs are part of the competitive endogenous RNA network, which putatively function as miRNA sponges and play a crucial role in the development of numerous diseases. However, studies of circRNAs in rheumatoid arthritis (RA) disease are limited. This work aims to identify the expression pattern of circRNAs in synovial tissues and their inflammatory regulation mechanism. Methods We first compared the mRNA expression in rheumatoid arthritis patients with that in healthy volunteers by GEO database mining to identify gene loci specifically expressed in synovial tissues. Functional enrichment algorithms were then used to draw the interactome diagram of circRNAs-miRNAs-mRNAs. Finally, loss-of-function and rescue assays of the candidate circRNAs were performed in vitro. Results A total of 29 differentially expressed circRNAs related to rheumatoid arthritis were discovered. Silencing of hsa_circ_0001859 suppressed ATF2 expression and decreased inflammatory activity in SW982 cells. Hsa_circ_0001859 could compete with ATF2 for miR-204/211. Discussion These findings indicate that hsa_circ_0001859 participates deeply in the process of chronic inflammatory disease in synovial tissue.
Vacuum Assisted High Speed Compression Molding and Evaluation of Mechanical Properties of Continuous Carbon Fiber Reinforced Polycarbonate Composite

Carbon Fiber Reinforced Plastics (CFRP), which can reduce the weight of automotive, has become the centre of attention. From the view point of improving CFRP's recycling efficiency and productivity, there is a trend that Carbon Fiber Reinforced Thermoplastics (CFRTP) is used rather than Carbon Fiber Reinforced Thermoset Plastics. Polycarbonate (PC) has a high impact strength compared to other plastics, therefore in the near future, PC is expected to replace traditional materials for automotive parts. In this study, the vacuum assisted high speed compression molding method with electron magnetic induction heating system was proposed. The good impregnation of CF/PC at short time-frame, using low melt flow rate resin, can be molded by the vacuum assisted high speed compression molding method. The fiber/matrix interfacial share strength of CF/PC was much larger than these of CF/PA and CF/PP.
Therapeutic inhibition of USP7-PTEN network in chronic lymphocytic leukemia: a strategy to overcome TP53 mutated/deleted clones

Chronic Lymphocytic Leukemia (CLL) is a lymphoproliferative disorder with either indolent or aggressive clinical course. Current treatment regiments have significantly improved the overall outcomes even if higher risk subgroups - those harboring TP53 mutations or deletions of the short arm of chromosome 17 (del17p) - remain highly challenging. In the present work, we identified USP7, a known de-ubiquitinase with multiple roles in cellular homeostasis, as a potential therapeutic target in CLL. We demonstrated that in primary CLL samples and in CLL cell lines USP7 is: i) over-expressed through a mechanism involving miR-338-3p and miR-181b deregulation; ii) functionally activated by Casein Kinase 2 (CK2), an upstream interactor known to be deregulated in CLL; iii) effectively targeted by the USP7 inhibitor P5091. Treatment of primary CLL samples and cell lines with P5091 induces cell growth arrest and apoptosis, through the restoration of PTEN nuclear pool, both in TP53-wild type and -null environment. Importantly, PTEN acts as the main tumor suppressive mediator along the USP7-PTEN axis in a p53 dispensable manner. In conclusion, we propose USP7 as a new druggable target in CLL.
Runtime checking C programs

The C Programming Language is known for being an efficient language that can be compiled on almost any architecture and operating system. However the absence of dynamic safety checks and a relatively weak type system allows programmer oversights that are hard to spot. In this paper, we present RTC, a runtime monitoring tool that instruments unsafe code and monitors the program execution. RTC is built on top of the ROSE compiler infrastructure. RTC finds memory bugs and arithmetic overflows and underflows, and run-time type violations. Most of the instrumentations are directly added to the source file and only require a minimal runtime system. As a result, the instrumented code remains portable. In tests against known error detection benchmarks, RTC found 98% of all memory related bugs and had zero false positives. In performance tests conducted with well known algorithms, such as binary search and MD5, we determined that the unoptimized overhead rate is between a factor of 1.8 and a factor of 77 respectively.
ANALYSIS OF MULTIVARIATE FUNCTION STRUCTURE IN CLASSIFICATION PROBLEMS

In the present paper, the method of structure analysis for multivariate functions was applied to rational approximation in classification problems. Then the pattern recognition and generalisation ability was investigated experimentally in numerical recognition. A comparison with Hopfield Net was carried out. The overall results of using of new approach may be treated as a success.
The Drosophila melanogaster Eip74EF‐PA transcription factor directly binds the sciarid BhC4‐1 promoter

The DNA puff BhC4‐1 gene of Bradysia hygida (Diptera, Sciaridae) is amplified and expressed in the salivary glands at the end of the last larval instar. Even though there are no BhC4‐1 orthologs in Drosophila melanogaster, the mechanisms that regulate BhC4‐1 gene expression in B. hygida are for the most part conserved in D. melanogaster. The BhC4‐1 promoter contains a 129bp (‐186/‐58) cis‐regulatory module (CRM) that drives developmentally regulated expression in transgenic salivary glands at the onset of metamorphosis. Both in the sciarid and in transgenic D. melanogaster, BhC4‐1 gene expression is induced by the increase in ecdysone titers that triggers metamorphosis. Genetic interaction experiments revealed that in the absence of the Eip74EF‐PA early gene isoform BhC4‐1‐lacZ levels of expression in the salivary gland are severely reduced. Here we show that the overexpression of the Eip74EF‐PA transcription factor is sufficient to anticipate BhC4‐1‐lacZ expression in transgenic D. melanogaster. Through yeast one‐hybrid assays we confirm that the Eip74EF‐PA transcription factor directly binds to the 129 bp sciarid CRM. Together, these results contribute to the characterization of an insect CRM and indicate that the ecdysone gene regulatory network that promotes metamorphosis is conserved between D. melanogaster and the sciarid B. hygida.
Dynamic Resource Management for LTE-Based Hybrid Access Femtocell Systems

Hybrid access femtocells for long term evolution (LTE)-based cellular networks provide a tradeoff between closed and open access femtocells whereby all subscribers are granted access albeit with priority given to closed access subscribers. Due to the need to accommodate both closed and open access subscribers, quality of service (QoS) provisioning for LTE-based hybrid access femtocells has become more challenging. This paper addresses this issue and proposes a new dynamic resource management scheme for such hybrid architectures. In particular, the proposed scheme first classifies and performs lexicographic admission control on the incoming traffic data flows using an optimal greedy algorithm. A suboptimal delay-bounded packet scheduling algorithm and a dual decomposition-based power allocation algorithm are developed to solve the non-convex maximization problem such that the weighted sum rate of each femtocell is maximized, subject to bounded packet delays and power constraints. Simulation results show that the proposed scheme can significantly outperform existing schemes in terms of QoS, throughput and fairness.
Performance analysis for a service delivery platform in software defined network

Software Defined Networking (SDN) is an emerging networking paradigm that is expected to play a significant role in future networks. Although exciting progress has been made in research and development of SDN technologies, application of this new networking paradigm in large scale networks with heterogeneous autonomous domains, such as the Internet, is still a challenging issue that calls for a new service delivery platform offering a high-level abstraction for network programmability and inter-domain collaboration. In this paper, we first present a service delivery platform that employs the Network-as-a-Service (NaaS) notion for end-to-end service provisioning in SDN. Then we propose a novel modeling and analysis method for evaluating performance of the service delivery platform. The proposed analysis method addresses the challenges brought in by network abstraction and domain diversity in the service delivery platform by applying network calculus techniques. Both analytical and numerical results obtained in this paper indicate that our modeling and analysis well reflect the advantage of centralized network control enabled by SDN for end-to-end service provisioning; thus achieving tighter performance bound compared to traditional methods for network performance analysis.
Application of KMP algorithm in customized flow analysis

Internet technology has developed rapidly today, the Internet has become an indispensable part of the way everyone online more and more diverse, there are PC, mobile phones, flat and even watches, etc.; and the speed of the network with the increase in bandwidth and rapid growth The The traffic data completely records the behavior of each person online, if you can effectively use the flow of data analysis, it will be a huge treasure. The usage of virtualization technology can improve the utilization rate of data center equipment and bring convenience to cloud computing applications [1]. Based on the analysis of traffic, this paper introduces the basic idea of traffic analysis system, what is custom traffic analysis, and then explores how to improve the efficiency of traffic analysis. KMP algorithm is proposed for initialization based on the K-means partition algorithm[2], experiments show that KMP algorithm significantly reduces the disparity between the initial solution and the actual solution[3], so you can consider using it to improve efficiency, such as the application of KMP algorithm in traffic analysis.
The Protease Inhibitor CI2c Gene Induced by Bird Cherry-Oat Aphid in Barley Inhibits Green Peach Aphid Fecundity in Transgenic Arabidopsis

Aphids are phloem feeders that cause large damage globally as pest insects. They induce a variety of responses in the host plant, but not much is known about which responses are promoting or inhibiting aphid performance. Here, we investigated whether one of the responses induced in barley by the cereal aphid, bird cherry-oat aphid (Rhopalosiphum padi L.) affects aphid performance in the model plant Arabidopsis thaliana L. A barley cDNA encoding the protease inhibitor CI2c was expressed in A. thaliana and aphid performance was studied using the generalist green peach aphid (Myzus persicae Sulzer). There were no consistent effects on aphid settling or preference or on parameters of life span and long-term fecundity. However, short-term tests with apterous adult aphids showed lower fecundity on three of the transgenic lines, as compared to on control plants. This effect was transient, observed on days 5 to 7, but not later. The results suggest that the protease inhibitor is taken up from the tissue during probing and weakly inhibits fecundity by an unknown mechanism. The study shows that a protease inhibitor induced in barley by an essentially monocot specialist aphid can inhibit a generalist aphid in transgenic Arabidopsis.
Conditional iron and pH-dependent activity of a non-enzymatic glycolysis and pentose phosphate pathway

Iron and pH dependency enable metabolism-like attributes in a network of primordially plausible chemical reactions. Little is known about the evolutionary origins of metabolism. However, key biochemical reactions of glycolysis and the pentose phosphate pathway (PPP), ancient metabolic pathways central to the metabolic network, have non-enzymatic pendants that occur in a prebiotically plausible reaction milieu reconstituted to contain Archean sediment metal components. These non-enzymatic reactions could have given rise to the origin of glycolysis and the PPP during early evolution. Using nuclear magnetic resonance spectroscopy and high-content metabolomics that allowed us to measure several thousand reaction mixtures, we experimentally address the chemical logic of a metabolism-like network constituted from these non-enzymatic reactions. Fe(II), the dominant transition metal component of Archean oceanic sediments, has binding affinity toward metabolic sugar phosphates and drives metabolism-like reactivity acting as both catalyst and cosubstrate. Iron and pH dependencies determine a metabolism-like network topology and comediate reaction rates over several orders of magnitude so that the network adopts conditional activity. Alkaline pH triggered the activity of the non-enzymatic PPP pendant, whereas gentle acidic or neutral conditions favored non-enzymatic glycolytic reactions. Fe(II)-sensitive glycolytic and PPP-like reactions thus form a chemical network mimicking structural features of extant carbon metabolism, including topology, pH dependency, and conditional reactivity. Chemical networks that obtain structure and catalysis on the basis of transition metals found in Archean sediments are hence plausible direct precursors of cellular metabolic networks.
Cod Removal from Sewage by Activated Carbon from Rice Husk- An Agricultural By Product

The study deals with utilization of an agricultural by-product, risk husk for the removal of Chemical Oxygen Demand (COD) from sewage. Rice husk was processed into Rice Husk Activated Carbon (RHAC), a more useful form, by using phosphoric acid. The characteristics of raw sewage like pH and initial COD and the characteristics of adsorbent were measured. The mechanism of removal of COD by adsorption onto RHAC was studied by Batch process, under varying adsorbent dosage and pH of the solution to find the optimum conditions. RHAC was found to remove 92.37 % COD at dosage 5 gm and pH 6
Possible association between haplotypes of the FKBP5 gene and suicidal bipolar disorder, but not with melancholic depression and psychotic features, in the course of bipolar disorder

We aimed to analyzed the association between polymorphisms of the FKBP5 (FK506 binding protein 5) gene and subtypes of bipolar disorder. In the study, we included 195 bipolar disorder patients with psychotic features, 129 bipolar patients with melancholic depression, and 156 bipolar patients with a history of suicidal attempts. We found weak association between the haplotypes of the FKBP5 gene and bipolar patients with suicidal attempts. We did not find an association between polymorphisms of the FKBP5 gene and bipolar disorder with psychotic features, nor with bipolar disorder with melancholic depression. Limitations of our study are the absence of data about previous trauma exposure and the small sample size of patients, which of course can lead to false-positive results, so further validation and replication of the present findings are still needed.
Inferring regional sources and sinks of atmospheric CO 2 from GOSAT XCO 2 data

Abstract. We have examined the utility of retrieved column-averaged, dry-air mole fractions of CO2 (XCO2) from the Greenhouse Gases Observing Satellite (GOSAT) for quantifying monthly, regional flux estimates of CO2, using the GEOS-Chem four-dimensional variational (4D-Var) data assimilation system. We focused on assessing the potential impact of biases in the GOSAT CO2 data on the regional flux estimates. Using different screening and bias correction approaches, we selected three different subsets of the GOSAT XCO2 data for the 4D-Var inversion analyses, and found that the inferred global fluxes were consistent across the three XCO2 inversions. However, the GOSAT observational coverage was a challenge for the regional flux estimates. In the northern extratropics, the inversions were more sensitive to North American fluxes than to European and Asian fluxes due to the lack of observations over Eurasia in winter and over eastern and southern Asia in summer. The regional flux estimates were also sensitive to the treatment of the residual bias in the GOSAT XCO2 data. The largest differences obtained were for temperate North America and temperate South America, for which the largest spread between the inversions was 1.02 and 0.96 Pg C, respectively. In the case of temperate North America, one inversion suggested a strong source, whereas the second and third XCO2 inversions produced a weak and strong sink, respectively. Despite the discrepancies in the regional flux estimates between the three XCO2 inversions, the a posteriori CO2 distributions were in good agreement (with a mean difference between the three inversions of typically less than 0.5 ppm) with independent data from the Total Carbon Column Observing Network (TCCON), the surface flask network, and from the HIAPER Pole-to-Pole Observations (HIPPO) aircraft campaign. The discrepancy in the regional flux estimates from the different inversions, despite the agreement of the global flux estimates suggests the need for additional work to determine the minimum spatial scales at which we can reliably quantify the fluxes using GOSAT XCO2. The fact that the a posteriori CO2 from the different inversions were in good agreement with the independent data although the regional flux estimates differed significantly, suggests that innovative ways of exploiting existing data sets, and possibly additional observations, are needed to better evaluate the inferred regional flux estimates.
Aggregation of IgE receptors induces degranulation in rat basophilic leukemia cells permeabilized with alpha-toxin from Staphylococcus aureus.

A method has been developed by which rat basophilic leukemia (RBL) cells can be permeabilized to small molecules while maintaining their ability to degranulate in response to aggregation of IgE receptors. alpha-Toxin was isolated from culture supernatants of Staphylococcus aureus by precipitation with (NH4)2SO4 and chromatography on phenyl-Sepharose. The isolated toxin binds to the plasma membrane of RBL cells and polymerizes to form a transmembrane pore that allows small molecules (Mr less than 1000), but not macromolecules, to diffuse freely across the membrane. There was no spontaneous release of the contents of RBL cell secretory granules during permeabilization or subsequent incubations. Substantial IgE receptor-mediated exocytosis occurred in the absence of Ca2+, and degranulation was maximal at 0.1-1.0 microM Ca2+, the physiologically important range of Ca2+ concentrations. Using these permeabilized cells, small molecules (i.e., substrates and inhibitors of various enzymes) normally excluded by the plasma membrane can be introduced into the cell. Moreover, the intracellular concentration of ions (such as Ca2+) can be precisely controlled. This method will allow a detailed examination of the individual biochemical events involved in degranulation of mast cells.
Automated generation of robotics applications from simulink and SysML models

Models are used in control domains to improve the quality of the system and its development process by early validation and verification, using simulation or model-checking. Robotic middlewares, such as Orocos-RTT, provide the infrastructure to execute component-based applications and abstract the functionality from the computing platform, but are hardly integrated in a model-based flow with automatic code generation. Control algorithms can be specified and designed using synchronous models (Simulink), but with the limitation that the code can only be executed in a single core. We propose a model-driven approach and tool support to specify the execution platform, the software and message implementation of synchronous models, and a semanticspreserving deployment on Orocos-RTT with the automatic generation of glue code.
5G framework based on multi-level edge computing with D2D enabled communication

There is no doubt that the release of the fifth generation of the mobile cellular system (5G) becomes a great demand year by year, especially with the massive increase of heterogeneous Wireless devices. The 5G network will be a platform for wide variety of industries. Designing of 5G cellular system faces various challenges related to the capacity and traffic. One way to solve these challenges is to employ device-to-device (D2D) communication and mobile edge computing (MEC). Employing these technologies offload the core network and increase the capacity of the system. In this work, we propose a frame work for the 5G cellular system based on D2D communication and multi-level cloud units employed at the edge of the cellular network. The system employs four levels of cloud units with various hardware capabilities. The D2D communication is used as the communication technology in the first level of clouds. Employing D2D together with multi-level edge cloud units achieves varies benefits to the system as the system level simulation provides.
Targeting glial cannabinoid CB2 receptors to delay the progression of the pathological phenotype in TDP‐43 (A315T) transgenic mice, a model of amyotrophic lateral sclerosis

Cannabinoid CB2 receptors are up‐regulated in reactive microglia in the spinal cord of TDP‐43 (A315T) transgenic mice, an experimental model of amyotrophic lateral sclerosis. To determine whether this up‐regulation can be exploited pharmacologically, we investigated the effects of different treatments that affect CB2 receptor function.