Miracle-dz/UniFAR-FTUs huggingface dataset:
Utilizing Cellular Learning Automata for Finding Communities in Weighted Networks

The tremendous increase in Web usage led to the appearance of different network structures. One of the essential issues in the field of network science and engineering is to find and utilize network structures such as community structures by community detection. Although most of the current algorithms for detection of community use on the binary representation of the networks, some networks can encode more information instead of the topological structure, in which this information can be applied appropriately in detecting communities. Network information can be represented in the form of weights and identified as the weighted social network. This paper proposes a new algorithm using irregular CLA (cellular learning automaton) for finding the community in weighted networks called CLA-WCD. The CLA-WCD can find near-optimal community structures with reasonable running-time by taking advantage of the parallel capability and learning ability of the cellular automata and learning automaton, respectively. The CLA-WCD is also evaluated on real and synthetic networks in comparison with popular community discovery methods. The simulation results demonstrated that the CLA-WCD outperforms other methods.
Community Detection Boosts Network Dismantling on Real-World Networks

Network dismantling techniques have gained increasing interest during the last years caused by the need for protecting and strengthening critical infrastructure systems in our society. We show that communities play a critical role in dismantling, given their inherent property of separating a network into strongly and weakly connected parts. The process of community-based dismantling depends on several design factors, including the choice of community detection method, community cut strategy, and inter-community node selection. We formalize the problem of community attacks to networks, identify critical design decisions for such methods, and perform a comprehensive empirical evaluation with respect to effectiveness and efficiency criteria on a set of more than 40 community-based network dismantling methods. We compare our results to state-of-the-art network dismantling, including collective influence, articulation points, as well as network decycling. We show that community-based network dismantling significantly outperforms existing techniques in terms of solution quality and computation time in the vast majority of real-world networks, while existing techniques mainly excel on model networks (ER, BA) mostly. We additionally show that the scalability of community-based dismantling opens new doors towards the efficient analysis of large real-world networks.
Texture-Aware Deblurring for Remote Sensing Images Using $ \ell _0$-Based Deblurring and $ \ell _2$-Based Fusion

This article presents an image deblurring method using <inline-formula><tex-math notation="LaTeX">$\ell _0$</tex-math></inline-formula>-norm-based deblurring and <inline-formula><tex-math notation="LaTeX">$\ell _2$</tex-math></inline-formula>-norm-based texture-aware image fusion for remote sensing images. To restore the details of blurred texture, the proposed method first performs texture restoration by fusing the restored results using Richardson–Lucy deconvolution and unsharp masking. Next, we analyzed the intensity and dark channel properties of remote sensing images and perform the <inline-formula><tex-math notation="LaTeX">$\ell _0$</tex-math></inline-formula>-norm-based deblurring using the intensity and dark channel priors. Although the <inline-formula><tex-math notation="LaTeX">$\ell _0$</tex-math></inline-formula>-norm-based deblurring can provide a significantly restored result, it cannot overcome the loss of the texture region. On the other hand, the proposed <inline-formula><tex-math notation="LaTeX">$\ell _2$</tex-math></inline-formula>-norm-based image fusion method can preserve both sharp edges and texture details. In the experiments, we demonstrate that the proposed method can provide better restored results than existing state-of-the-art deblurring methods without oversmoothing and undesired artifact.
Analysis of Constant Real Power Flow Injection From PV System to Power Grid

Due to increase in demand of green energy, Hybrid PV system is no longer an auxiliary power source but have become a part of electricity generation system. In case of grid connected PV System, it is desirable that system should supply constant real power to grid at high power factor, even when there is variation of local load supplied by PV system. In this paper control mechanism is proposed in which constant real power is injected into the grid taking load variation into account. Battery storage system is employed and used in charging mode simulate hybrid system and injection of harmonics in PV current. Power flow is controlled by adjusting phase shift of inverter to change its power factor. Constant power injection into the grid for different cases of load variation is studied and its effect on power factor at different buses is considered and scheme is proposed which addresses issues faced by this system.
Regulation and evolutionary origins of repulsive guidance molecule C / hemojuvelin expression : a muscle-enriched gene involved in iron metabolism

s: M.G. West, M. Hwang, S. Kadkhodayan, C. Severyn, M.P. Thelen (November 1999). Overexpression in hamster cells of hXRCC1 containing a debilitating mutation in the PARP-binding BRCT domain. American Society for Microbiology (ASM), DNA Repair and Mutagenesis Conference, Hilton Head, SC. UCRL-JC-135806 Abs C. Severyn and P. Rotwein (May 2008) Characterizing RGMc/Hemojuvelin Gene Expression through Functional Studies and Evolutionary Conservation. Integrating Evolution, Development, and Genomics (IEDG) Conference, Berkeley, CA. C. Severyn and P. Rotwein (April 2010) Conserved elements regulate RGMc/Hemojuvelin promoter activity in skeletal muscle. Keystone Symposium on Dynamics of Eukaryotic Transcription during Development, Big Sky, MT. C. Severyn and P. Rotwein (May 2010) Characterizing RGMc/hemojuvelin expression: a muscle-enriched gene involved in systemic iron metabolism. NHLBI Physician Scientist Trainees Conference, Bethesda, MD.
The role of biomarkers to assess oil‐contaminated sediment quality using toxicity tests with clams and crabs

A 28‐d bioassay was conducted with two invertebrate species with different feeding habits, the clam Ruditapes philippinarum and the shore crab Carcinus maenas. The purpose of the present study was to assess the quality of sediments affected by oil spills in different areas of the Spanish coast. The organisms were exposed to environmental samples of oil‐contaminated sediments during four weeks and, after the experiment, a suite of biomarkers of exposure was measured: The phase one detoxification system was assessed by ethoxyresorufin‐O‐deethylase (EROD) activity; glutathione‐S‐transferase (GST) is a phase‐two detoxification enzyme but also is implicated in oxidative stress events; glutathione peroxidase (GPX), glutathione reductase (GR), and the ferric reducing ability of plasma (FRAP) assay were analyzed to determine the antioxidant activity of the tissues. The biomarker results were correlated with the chemical compounds bound to sediments (polycyclic aromatic hydrocarbons [PAHs], polychlorinated biphenyls [PCBs], Zn, Cd, Pb, Cu, Ni, Co, V) and a principal component analysis was carried out with the purpose of linking all the variables and to detect those contaminated sediments potentially harmful to the biota. Results showed induction of biomarkers in both invertebrate species and significant differences (p < 0.05; p < 0.01) were established among sediments affected by different spills. The use of the selected biomarkers together with the sediment chemical analysis assesses the bioavailability of contaminants and has proven to be a suitable tool to monitor the environmental quality of sediments affected by oil spills.
INHIBITORY PROPERTIES OF MICROPLITIS CROCEIPES TERA TOCYTE SECRETORY PRODUCTS AND THE RECOMBINANT PROTEIN TSP14 ON PROTEIN SYNTHESIS

OF THESIS INHIBITORY PROPERTIES OF MICROPLITIS CROCEIPES TERATOCYTE SECRETORY PRODUCTS AND THE RECOMBINANT PROTEIN TSP14 ON PROTEIN SYNTHESIS Microplitis croceipes is a solitary endoparasitic wasp that oviposits in the hemocoel of Heleothis virescens larvae. Upon parasitization, the host larvae’s physiology is altered; resulting in a compromised immune system and a decrease in the production of some vital proteins resulting in a terminal post-wandering prepupal state. Teratocytes, cells derived from the extra– embryonic serosa of the parasitic wasp, mimic symptoms of parasitization when injected into host larvae, independent of other factors like polydnavirus and venom. Some of the inhibition of protein synthesis can be attributed to proteins secreted by the teratocytes (teratocyte secretory proteins or TSP). A fraction of TSP between 3–30 kDa inhibits protein synthesis in vivo, in the in vitro fat body and testes assays, and in the rabbit reticulocyte lysate and wheat germ extract assays. This fraction, however, has no effect on nucleic acid synthesis. Its effect on protein synthesis is dose dependent and exposure time sensitive. A 13.9 kDa protein isolated from TSP and expressed in a baculovirus system seems primarily responsible for the inhibition. Although TSP14 production was low, it did bind to the cell surface, enter the cell, and inhibit protein synthesis as the 3–30 kDa factor did.
Application of deep learning and image processing analysis of photographs for amblyopia screening

Purpose: Photo screeners and autorefractors have been used to screen children for amblyopia risk factors (ARF) but are limited by cost and efficacy. We looked for a deep learning and image processing analysis-based system to screen for ARF. Methods: An android smartphone was used to capture images using a specially coded application that modified the camera setting. An algorithm was developed to process images taken in different light conditions in an automated manner to predict the presence of ARF. Deep learning and image processing models were used to segment images of the face. Light settings and distances were tested to obtain the necessary features. Deep learning was thereafter used to formulate normalized risks using sigmoidal models for each ARF creating a risk dashboard. The model was tested on 54 young adults and results statistically analyzed. Results: A combination of low-light and ambient-light images was needed for screening for exclusive ARF. The algorithm had an F-Score of 73.2% with an accuracy of 79.6%, a sensitivity of 88.2%, and a specificity of 75.6% in detecting the ARF. Conclusion: Deep-learning and image-processing analysis of photographs acquired from a smartphone are useful in screening for ARF in children and young adults for a referral to doctors for further diagnosis and treatment.
A Finite Time Adaptive Robust Regulation Control of Spacecraft under Limited Measurements

This paper establishes a finite time robust controller for the attitude stabilization of the rigid spacecraft. The spacecraft is subjected to inertia matrix uncertainties, external disturbances, and inaccessibility of the angular velocity measurements. The proposed controller is developed by employing a non-singular fast terminal sliding manifold. The bound on the uncertainties are unknown; therefore, the adaptive law is incorporated in the control design to estimate the controller gains. The angular velocity is estimated using a finite time second-order differentiation observer. The output of this observer is then implemented in the proposed controller as state feedback. The closed-loop stability analysis affirms a finite time convergence of sliding manifold, and the system states to the origin. The numerical analysis demonstrates the effectiveness of the proposed closed-loop control system performance under the aforesaid constraints and uncertainties.
A High Efficient Dual-Wavelength Mid-Infrared Optical Parametric Oscillator Pumped by the Raman Fiber Oscillator

In this paper, a novel high efficient dual-wavelength mid-infrared optical parametric oscillator (OPO) was demonstrated, which was pumped by a dual-wavelength Raman fiber oscillator for the first time. The adoption of oscillator structure reduced the waste of power, increased Raman pump power and promoted its frequency conversion. The dual-wavelength pump source was fixed at 1070 nm and 1120 nm and the Raman conversion efficiency was greatly enhanced from 26.7% to 72.1%. The high Raman efficiency and low Raman threshold enabled the Raman laser to build optical parametric oscillation easily and the pump-to-idler conversion efficiency of Raman laser improved greatly from 4.2% to 13.3%. The generated dual-wavelength mid-infrared laser was fixed at 3272 nm and 3663 nm, with a maximum power of 6.87 W, indicating a 13.9% pump-to-idler conversion efficiency. The highest mid-infrared output power generated by optical parametric oscillation of Raman laser was also achieved, which is almost ten times than before.
Detecting Advanced Attacks Based On Linux Logs

Advanced attacks threaten the security of nowadays information systems. For instance, Mirai incorporates several hack tools and techniques to launch large-scale attacks without detection by traditional security tools. In this paper, we build a simulated environment to analyze the lifecycle of advanced attacks. We also design and implement an attack detection model, which could identify advanced attacks through Linux Logs. Machine learning models are employed to discriminate normal behaviors from malicious behaviors. We have conducted several comprehensive experiments, and the results demonstrate the effectiveness and efficiency of our approach when dealing with advanced attacks.
Longitudinal Study of Two Virtual Cursors for People With Motor Impairments: A Performance and Satisfaction Analysis on Web Navigation

The lack of dexterity in the upper limbs of people with motor impairments may prevent the use of standard pointing devices, such as mice, to access graphical user interfaces. In these cases, pointing and clicking are usually performed by means of alternative devices such as joysticks, trackballs or standard keyboards. However, target acquisition can still be challenging for this group of people due to their physical condition. Based on previous works, we developed two virtual cursors: the novel cross cursor and the standard area cursor. They are devoted to assist two different groups of users with link selection within web pages: keyboard-only users, and joystick and trackball users, respectively. Both virtual cursors have been evaluated and compared with the original unassisted cursor in a longitudinal study. Eight people with motor impairments participated in an unsupervised experiment from their own personal computers at home. For a period of six weeks, each participant used both a virtual cursor and the original unassisted cursor to freely navigate the Web, and to perform predefined target acquisition tasks. Interaction data was automatically logged throughout the study along with subjective assessments concerning the usability of the virtual cursor being tested. Results show significant improvements for both virtual cursors in six of the seven cursor parameters studied, albeit with performance variations between some participants. The virtual cursors were extensively used for free web navigation and in their subjective assessments both were positively endorsed by participants who also put forward improvement suggestions for future developments.
Semantic SLAM With More Accurate Point Cloud Map in Dynamic Environments

Static environment is a prerequisite for most existing vision-based SLAM (simultaneous localization and mapping) systems to work properly, which greatly limits the use of SLAM in real-world environments. The quality of the global point cloud map constructed by the SLAM system in a dynamic environment is related to the camera pose estimation and the removal of noise blocks in the local point cloud maps. Most dynamic SLAM systems mainly improve the accuracy of camera localization, but rarely study on noise blocks removal. In this paper, we proposed a novel semantic SLAM system with a more accurate point cloud map in dynamic environments. We obtained the masks and bounding boxes of the dynamic objects in the images by BlitzNet. The mask of a dynamic object was extended by analyzing the depth statistical information of the mask in the bounding box. The islands generated by the residual information of dynamic objects were removed by a morphological operation after geometric segmentation. With the bounding boxes, the images can be quickly divided into environment regions and dynamic regions, so the depth-stable matching points in the environment regions are used to construct epipolar constraints to locate the static matching points in the dynamic regions. In order to verify the preference of our proposed SLAM system, we conduct the experiments on the TUM RGB-D datasets. Compared with the state-of-the-art dynamic SLAM systems, the global point cloud map constructed by our system is the best.
Co-ingestion of protein and carbohydrate in the early recovery phase improves endurance performance despite like glycogen degradation and AMPK phosphorylation.

The present study compared the effects of post exercise carbohydrate plus protein (CHO+PROT) and carbohydrate (CHO) only supplementation on muscle glycogen metabolism, anabolic cell signalling and subsequent exercise performance. Nine endurance-trained males cycled twice to exhaustion (muscle glycogen decreased from ~495 to ~125 mmol·kg dw-1) and received either CHO only (1.2 g·kg-1·h-1) or CHO+PROT (0.8/0.4 g·kg-1·h-1) during the first 90 min of recovery. Glycogen content was similar before the performance test after 5 h of recovery. Glycogen synthase (GS) fractional activity increased after exhaustive exercise and remained activated 5 h after despite substantial glycogen synthesis (176.1±19.1 and 204.6±27.0 mmol·kg dw-1 in CHO and CHO+PROT, respectively; p=0.15). Phosphorylation of GS at site 3 and site 2+2a remained low during recovery. After the 5 h recovery, cycling time to exhaustion was improved by CHO+PROT supplementation compared to CHO supplementation (54.6±11.0 vs 46.1±9.8 min; p=0.009). After the performance test, muscle glycogen was equally reduced in PRO+CHO and CHO. Akt Ser473 and p70s6k Thr389 phosphorylation was elevated after 5 h of recovery. There were no differences in Akt Ser473, p70s6k Thr389 or TSC2 Thr1462 phosphorylation between treatments. Nitrogen balance was positive in CHO+PROT (19.6±7.6 mg nitrogen·kg-1, p=0.04) and higher than CHO (-10.7±6.3 mg nitrogen·kg-1, p=0.009). Conclusion: CHO+PROT supplementation during exercise recovery improved subsequent endurance performance relative to consuming CHO only. This improved performance after CHO+PROT supplementation could not be accounted for by differences in glycogen metabolism or anabolic cell signaling, but may have been related to differences in nitrogen balance.
Different methods of fear reduction are supported by distinct cortical substrates

Understanding how learned fear can be reduced is at the heart of treatments for anxiety disorders. Tremendous progress has been made in this regard through extinction training in which the aversive outcome is omitted. However, current progress almost entirely rests on this single paradigm, resulting in a very specialized knowledgebase at the behavioural and neural level of analysis. Here, we used a dual-paradigm approach to show that different methods that lead to reduction in learned fear in rats are dissociated in the cortex. We report that the infralimbic cortex has a very specific role in fear reduction that depends on the omission of aversive events but not on overexpectation. The orbitofrontal cortex, a structure generally overlooked in fear, is critical for downregulating fear when novel predictions about upcoming aversive events are generated, such as when fear is inflated or overexpected, but less so when an expected aversive event is omitted.
Evidence for the recognition of two species of Anolis formerly referred to as A. tropidogaster (Squamata: Dactyloidae)

Based on differences in hemipenial morphology, male dewlap coloration, pholidosis, and 16S mtDNA, we recognize twospecies of anoles related to what was formerly referred to as Anolis tropidogaster: Anolis tropidogaster Hallowell 1856and A. gaigei Ruthven 1916. The hemipenis in A. tropidogaster is large, bulbous, and bilobed whereas it is small, thin,and unilobed in A. gaigei; the male dewlap is almost uniform purplish red, sometimes with a paler orange central area in A. tropidogaster versus orange yellow with a darker orange central area in A. gaigei; and—aside from more subtle differ-ences in several pholidotic characteristics—in male A. gaigei there is a pair of greatly enlarged postcloacal scales whichis absent in A. tropidogaster. In the western part of its geographic range, A. gaigei has been confused with another anolespecies, A. polylepis Peters 1873, from which it can be readily distinguished by its strongly keeled ventral scales (smooth in A. polylepis).
Satellite Cells and Markers of Muscle Regeneration during Unloading and Reloading: Effects of Treatment with Resveratrol and Curcumin

We hypothesized that treatment with pharmacological agents known to increase sirtuin-1 activity (resveratrol and curcumin) may enhance muscle regeneration. In limb muscles of mice (C57BL/6J, 10 weeks) exposed to reloading for seven days following a seven-day period of hindlimb immobilization with/without curcumin or resveratrol treatment, progenitor muscle cell numbers (FACS), satellite cell subtypes (histology), early and late muscle regeneration markers, phenotype and morphometry, sirtuin-1 activity and content, and muscle function were assessed. Treatment with either resveratrol or curcumin in immobilized muscles elicited a significant improvement in numbers of progenitor, activated, quiescent, and total counts of muscle satellite cells, compared to non-treated animals. Treatment with either resveratrol or curcumin in reloaded muscles compared to non-treated mice induced a significant improvement in the CSA of both hybrid (curcumin) and fast-twitch fibers (resveratrol), sirtuin-1 activity (curcumin), sirtuin-1 content (resveratrol), and counts of progenitor muscle cells (resveratrol). Treatment with the pharmacological agents resveratrol and curcumin enhanced the numbers of satellite cells (muscle progenitor, quiescent, activated, and total satellite cells) in the unloaded limb muscles but not in the reloaded muscles. These findings have potential clinical implications as treatment with these phenolic compounds would predominantly be indicated during disuse muscle atrophy to enhance the muscle regeneration process.