bluuebunny/crossref_metadata_2025_split huggingface dataset:
In-Silico Pharmacological and Molecular Docking Studies of Natural Inhibitors form Musa Spp. On Vaca Gene a Vacuolating Cytotoxin Autotransporter
Authors: Rakesh N R , Gurumurthy H , Pradeep H K , Pradeep S , Gurumurthy D M , Sachin C L 
Published: October 2020

Abstract
The integration of computational with various bioinformatics software/tools/webservers and the molecular docking process is the current key point method in reducing the time for drug discovery and drug development from a Bioactive compound. Current Insilco Study considers the Bioactive Phytoconstituents from Musa species for our drug discovery process by using bioinformatics software to find out the analogs by following their related physicochemical properties for the structure-based drug design. The gastric bacterium H. pylori infect the gastric mucosa, and its eradication is associated with the prevention of ulcer reoccurrence. The significant Protein target from this species was a challenging task for finding, targeting, treating. Offering hope from the Bioactive compounds considered in line with already FDA approved Drug molecules against peptic ulcer causative organism’s special protein vacuolating cytotoxin autotransporter translated from vacA Gene. The recent challenge is to identify a drug moiety that will effectively work on the target protein. Usually, the Phytocompounds will not significantly cause a side effect. Sitosterol with docking score of -6.417 kcal/mol has promised to serve as vacuolating cytotoxin autotransporter inhibitor by blocking the autotransporter protein to the periplasmic space avoiding the toxin passage between periplasmic membrane which will avoid the gastric infections from H. pylori.
Experimental Analysis of Luffa Composite Material
Authors: Vijayendra Gopal Kumar , Fredrick Gnanaraj F , Vijaya Kumar K R , Andrew Nallayan W 
Published: October 2020

Abstract
In recent times maximum research is based on the composite materials. In the future, many engineering developments are based on the composite material. This research is entirely based on natural composite material. In this work, Luffa material is used for making composite materials in different proportions and its mechanical properties calculated. Luffa is a natural material with less cost and easily available material. Thus the main objective of this work is determining the best composition by comparing the properties of different compositions.
Performance and Emission Characteristics of VCR Diesel Engine with Pre Heated Lemon Grass Biodiesel as Fuel
Authors: Kotaiah Kolla , Periyasamy P , Prabhahar M 
Published: October 2020

Abstract
Under this experimental analysis the lemon grass oil was considered, it’s converted into biodiesel as lemon grass biodiesel methyl ester (LGB) through transesterification process. The Kirloskar TV1 was used as the reference fuel in the fuel injection system 4-stroke diesel engine. The lemon grass biodiesel methyl ester (LGB B20) blend B20 is selected because it nearest to the diesel value. The lemon grass biodiesel is preheated at 60°C temperature that is (LGB B20 preheating @ 60°C). The results of the test showed that LGB B20 kinematic viscosity and density gradually decreased with fuel temperature rise. The performance characteristics of Preheating biodiesel is increased the BTE and slightly reduce the BSFC at noted in the full load condition. And the emission characteristics at full load condition of CO, HC and smoke density as decreased, it was observed slight increase of NOx emission.
Real Time Design and Implementation of FPGA Based Timing and Control System for Wireless Radar Communication
Authors: Kamaraj P , Jagadeesh Kannan R 
Published: October 2020

Abstract
This paper introduces real time application of FPGA based Timing Control Signal Generation card for Active Phased Array Radar Transmit Receive modules wireless radar communication. Active phased array radars usually have Transmit-Receive (TR) modules located near to the antenna elements and all the TR modules are to be synchronized for proper operation of the radar system. The TCSG is the heart of radar system which is designed to provide interface for digital controls, analog parameter monitoring, and timing and control signals generation required for 1 kW TR Module operation. The main objective of TCSG is to control and monitor the field located TR modules remotely from the control and instrumentation room, usually far away from the antenna field. Each TCSG card is provided with unique IP address and port number to distinguish each card though they perform same kind of operations. After remote connection establishment, the TCSG card responds to the commands given for controlling or monitoring the TR module parameters. A PC based user interface allows sending controls and monitoring the health of the TR modules. The functionality of the TCSG card is verified with a test bench setup and the results shows that the TCSG card is working properly for all the user parameters. The proposed framework comprises of detailed design, architecture, visualization, implementation and integration on a 1 kW high power TR module for the radar communication. Simulation of various control pulses for radar real time operations are carried out using Vivado and updated to the real time application using Artix-7 FPGA.
An Evaluation of Effective Intrusion DoS Detection and Prevention System Based on SVM Classifier for WSN
Authors: Prabakaran K , Kumaratharan N , Suresh G , Epsiba P 
Published: October 2020

Abstract
The trending technology of Wireless Sensor Networks (WSNs) are broadly used in this recent earth for a greatest rate of purpose for the better worth of person living however owing to their energy constrains as well as utilization and problems as mentioned above, these WSN has their restriction in their intention as well as their practicality. The wireless sensor networks face main threat challenges such as Denial of Service (DoS) attack, flooding attack, replay attack. In this approach, we proposed an Intrusion Detection (ID) technique using Support Vector Machine (SVM). In the ID algorithm, we employ feature vector to constitute nodes. Such components consist of routing message number, varies destinations in sending and receiving routing packets, and similar source node. The similar source node consists of similar characteristics; the node of the similar category has the same features. Therefore, irregular nodes will be notable. The measurement result shows an introduced scheme attain higher rate of accuracy. Here, Ant colony Optimization (ACO) technique to choose best route between entire adjacent feasible routes from source to receiver node for data communication. The proposed approach enhances the network lifespan as well as discovers intrusion nodes in WSN.
Detect and Prevent Active and Passive Attack in Autonomous Mobile Network
Authors: Sivasankar C , Kumanan T 
Published: October 2020

Abstract
In Autonomous Mobile Networks (AMNs), nodes regularly collaborate as well as transmit all packets to facilitate out of range transaction. Though, in unfriendly surroundings, several nodes might reject for preserve their own senders or for intentionally disrupting regular communications. Ina addition, the node mobility to handles the active and passive attacks. To overcome these problems, in this article Detect and Prevent Active and Passive Attack in Autonomous Mobile Network (DPAP) is introduced. Here, faithful forwarder node is chosen based on the vicinity information as well as connectivity of node. The active attacker node is detected by three hop verification method. In addition, the Binomial Pascal triangle function (BPTF) is applied for concealing the node uniqueness as a result; it recognizes the passive attack in the AMN. The DPAP approach is measured by applying a network simulator-2 for recognizing the active and passive attacker in the AMN. Simulation output illustrates the DPAP offer better throughput and detection ratio in the AMN.
First-principle study on electronic and optical properties of (Al, P, Al-P) doped graphene
Authors: Zhao Kuo , Zhang Wenchao , Peng Lei , Jiang Min , Wang Wenqiang , He Xunjun , Wang Yi , Gao Laixu 
Published: October 2020

Abstract
First-principle calculations are used to study the electronic structures, electronic and optical properties of pure, phosphorus-doped, aluminum-doped, and co-doped graphene with phosphorus and aluminum. The results show that the band gap of graphene can be effectively opened as the carbon atoms were replaced by P and Al atoms, and a large band gap of 0.45 eV could be opened when the P and Al atoms co-replaced carbon atoms. In addition, the band gap could be also reached 0.40 eV when an Al atom replaces a carbon atom. When P is doped into graphene, the band gap value is only 0.12 eV. For co-doped graphene with phosphorus and aluminum, the lost number of the electrons which are around the aluminum (2.10 e) is smaller than that of the Al-doping graphene (2.27 e). However, the phosphorus atom loses less electrons (0.43 e) than that in P-doping graphene (1.40 e). Furthermore, the optical parameters of pure graphene and several other doped graphene systems were studied, including refractive index, dielectric function and absorption coefficient have been also calculated. These crucial results confirm existence of P, Al and P–Al doping induced in graphene is an effective method in band gap engineering. Our research provides the theoretical foundation of using the chemical doping with heteroatoms approach to improve the electronic and optical performances of graphene, expected to benefit the practical application of graphene in tunable optoelectronic devices.
Impact of endovascular reperfusion therapy in nonagenarians with anterior circulation large-vessel ischaemic stroke
Authors: Derraz Imad , Benali Amel , Ahmed Raed , Cagnazzo Federico , Dargazanli Cyril , Gascou Gregory , Riquelme Carlos , Corti Lucas , Lefevre Pierre-Henri , Bonafe Alain , Arquizan Caroline , Costalat Vincent 
Published: October 2020

Abstract

Background and Purpose
The benefit of endovascular thrombectomy (EVT) among nonagenarians (90 years or older) is poorly documented. We aimed to investigate the clinical and imaging factors associated with good outcomes and mortality at 90 days in nonagenarians undergoing EVT for acute ischemic stroke (AIS).

Methods
Data from a prospectively maintained institutional registry of consecutive AIS patients treated with EVT from January 2012 to December 2018 were retrospectively analysed. Comorbid conditions were classified with a modified version of the Charlson Comorbidity Index (CCI). The degree of disability was assessed by the modified Rankin Scale (mRS). Outcomes included good functional outcome (mRS scores of 0–3) and mortality at 90 days.

Results
Among 110 patients (age, 92.3 ± 2.5 years; men, 28.2%) treated with EVT, good outcome was achieved in 39 (35.5%) patients, successful reperfusion (modified Thrombolysis in Cerebral Infarction grades of 2b–3) was achieved in 78 (70.9%) patients and 38 (34.5%) patients died at 90 days. The functional outcome at 3 months was associated with pre-stroke status (CCI and pre-stroke mRS score). Successful reperfusion (adjusted odds ratio [OR], 11.6; 95% CI, 1.3–104.2; P = 0.03) and early neurologic improvement at 24 h (adjusted OR, 16.4; 95% CI, 5.2–51.5; P &lt; 0.001) were independent predictors of a good outcome. Early neurological improvement (adjusted OR, 0.06; 95% CI, 0.02–0.23; P &lt; 0.001) was an independent predictor of 90-day mortality.

Conclusions
Successful reperfusion therapy improves the functional outcome of nonagenarians who should not be excluded from EVT. The presence and severity of comorbidities should be considered in the procedural management of this vulnerable population.
Finding “Bright Spots”: Using Multiple Measures to Examine Local-Area Racial Equity in Cancer Mortality Outcomes
Authors: Scott Lia C , Bartley Shelton , Dowling Nicole F , Richardson Lisa C 
Published: October 2020

Abstract
In this article, we present a variety of measures that quantify equity in cancer mortality outcomes, demonstrate how the measures perform with various cancer types, and identify counties, or “bright spots,” that meet the criteria of those measures. Using county-level age-adjusted mortality rates for 2007–2016 from the National Center for Health Statistics, we identified counties that had both equitable and optimal outcomes for Black and White death rates across 5 types of cancer: cancers of the lung/bronchus, prostate, female breast, colorectum, and liver. The number of counties that met the criteria ranged from 0 to 442, depending on cancer type and measure used. Prostate cancer and male liver cancer consistently had the lowest number of “bright spots,” with a maximum of 3 counties meeting the most lenient criteria. This paper presents several ways to examine equity, using rate ratios and standard error measures, in cancer mortality outcomes. It highlights areas with positive progress toward equity and areas with a potential need for equity-focused cancer-control planning. Examining local areas of positive deviance can inform cancer-control programming and planning around health equity.
Molecular evolution of GDP-L-galactose phosphorylase, a key regulatory gene in plant ascorbate biosynthesis
Authors: Tao Junjie , Hao Zhuan , Huang Chunhui 
Published: October 2020

AbstractAscorbic acid (AsA) is a widespread antioxidant in living organisms, and plays essential roles in the growth and development of animals and plants as well as in the response to abiotic stress tolerance. The GDP-L-galactose phosphorylase (GGP) is a key regulatory gene in plant AsA biosynthesis that can regulate the concentration of AsA at the transcriptional and translational levels. The function and regulation mechanisms of GGP have been well understood; however, the molecular evolutionary patterns of the gene remain unclear. In this study, a total of 149 homologous sequences of GGP were sampled from 71 plant species covering the major groups of Viridiplantae, and the phylogenetic relationships, gene duplication and molecular evolution analyses of the genes were systematically investigated. Results showed that GGP genes are present throughout the plant kingdom and five shared whole-genome duplications and several lineage-specific whole-genome duplications were found, which led to the rapid expansion of GGPs in seed plants, especially in angiosperms. The structure of GGP genes was more conserved in land plants, but varied greatly in green algae, indicating that GGP may have undergone great differentiation in the early stages of plant evolution. Most GGP proteins had a conserved motif arrangement and composition, suggesting that plant GGPs have similar catalytic functions. Molecular evolutionary analyses showed that GGP genes were predominated by purifying selection, indicating that the gene is functionally conserved due to its vital importance in AsA biosynthesis. Most of the branches under positive selection identified by the branch-site model were mainly in the chlorophytes lineage, indicating episodic diversifying selection may contribute to the evolution of GGPs, especially in the chlorophyte lineage. The conserved function of GGP and its rapid expansion in angiosperms maybe one of the reasons for the increase of AsA content in angiosperms, enabling angiosperms to adapt to changing environments.
KIMI: Knockoff Inference for Motif Identification from molecular sequences with controlled false discovery rate
Authors: Bai Xin , Ren Jie , Fan Yingying , Sun Fengzhu 
Published: October 2020

AbstractMotivationThe rapid development of sequencing technologies has enabled us to generate a large number of metagenomic reads from genetic materials in microbial communities, making it possible to gain deep insights into understanding the differences between the genetic materials of different groups of microorganisms, such as bacteria, viruses, plasmids, etc. Computational methods based on k-mer frequencies have been shown to be highly effective for classifying metagenomic sequencing reads into different groups. However, such methods usually use all the k-mers as features for prediction without selecting relevant k-mers for the different groups of sequences, i.e. unique nucleotide patterns containing biological significance.ResultsTo select k-mers for distinguishing different groups of sequences with guaranteed false discovery rate (FDR) control, we develop KIMI, a general framework based on model-X Knockoffs regarded as the state-of-the-art statistical method for FDR control, for sequence motif discovery with arbitrary target FDR level, such that reproducibility can be theoretically guaranteed. KIMI is shown through simulation studies to be effective in simultaneously controlling FDR and yielding high power, outperforming the broadly used Benjamini–Hochberg procedure and the q-value method for FDR control. To illustrate the usefulness of KIMI in analyzing real datasets, we take the viral motif discovery problem as an example and implement KIMI on a real dataset consisting of viral and bacterial contigs. We show that the accuracy of predicting viral and bacterial contigs can be increased by training the prediction model only on relevant k-mers selected by KIMI.Availabilityand implementationOur implementation of KIMI is available at https://github.com/xinbaiusc/KIMI.Supplementary informationSupplementary data are available at Bioinformatics online.
Independent Contributions of Dorsolateral Prefrontal Structure and Function to Working Memory in Healthy Older Adults
Authors: Evangelista Nicole D , O’Shea Andrew , Kraft Jessica N , Hausman Hanna K , Boutzoukas Emanuel M , Nissim Nicole R , Albizu Alejandro , Hardcastle Cheshire , Van Etten Emily J , Bharadwaj Pradyumna K , Smith Samantha G , Song Hyun , Hishaw Georg A , DeKosky Steven , Wu Samuel , Porges Eric , Alexander Gene E , Marsiske Michael , Cohen Ronald , Woods Adam J 
Published: October 2020

Abstract
Age-related differences in dorsolateral prefrontal cortex (DLPFC) structure and function have each been linked to working memory. However, few studies have integrated multimodal imaging to simultaneously investigate relationships among structure, function, and cognition. We aimed to clarify how specifically DLPFC structure and function contribute to working memory in healthy older adults. In total, 138 participants aged 65–88 underwent 3 T neuroimaging and were divided into higher and lower groups based on a median split of in-scanner n-back task performance. Three a priori spherical DLPFC regions of interest (ROIs) were used to quantify blood-oxygen-level-dependent (BOLD) signal and FreeSurfer-derived surface area, cortical thickness, and white matter volume. Binary logistic regressions adjusting for age, sex, education, and scanner type revealed that greater left and right DLPFC BOLD signal predicted the probability of higher performing group membership (P values&lt;.05). Binary logistic regressions also adjusting for total intracranial volume revealed left DLPFC surface area that significantly predicted the probability of being in the higher performing group (P = 0.017). The left DLPFC BOLD signal and surface area were not significantly associated and did not significantly interact to predict group membership (P values&gt;.05). Importantly, this suggests BOLD signal and surface area may independently contribute to working memory performance in healthy older adults.
Rest Functional Brain Maturation during the First Year of Life
Authors: Lemaître Hervé , Augé Pierre , Saitovitch Ana , Vinçon-Leite Alice , Tacchella Jean-Marc , Fillon Ludovic , Calmon Raphael , Dangouloff-Ros Volodia , Lévy Raphaël , Grévent David , Brunelle Francis , Boddaert Nathalie , Zilbovicius Monica 
Published: October 2020

Abstract
The first year of life is a key period of brain development, characterized by dramatic structural and functional modifications. Here, we measured rest cerebral blood flow (CBF) modifications throughout babies’ first year of life using arterial spin labeling magnetic resonance imaging sequence in 52 infants, from 3 to 12 months of age. Overall, global rest CBF significantly increased during this age span. In addition, we found marked regional differences in local functional brain maturation. While primary sensorimotor cortices and insula showed early maturation, temporal and prefrontal region presented great rest CBF increase across the first year of life. Moreover, we highlighted a late and remarkably synchronous maturation of the prefrontal and posterior superior temporal cortices. These different patterns of regional cortical rest CBF modifications reflect a timetable of local functional brain maturation and are consistent with baby’s cognitive development within the first year of life.
Distinct Representational Structure and Localization for Visual Encoding and Recall during Visual Imagery
Authors: Bainbridge Wilma A , Hall Elizabeth H , Baker Chris I 
Published: October 2020

Abstract
During memory recall and visual imagery, reinstatement is thought to occur as an echoing of the neural patterns during encoding. However, the precise information in these recall traces is relatively unknown, with previous work primarily investigating either broad distinctions or specific images, rarely bridging these levels of information. Using ultra-high-field (7T) functional magnetic resonance imaging with an item-based visual recall task, we conducted an in-depth comparison of encoding and recall along a spectrum of granularity, from coarse (scenes, objects) to mid (e.g., natural, manmade scenes) to fine (e.g., living room, cupcake) levels. In the scanner, participants viewed a trial-unique item, and after a distractor task, visually imagined the initial item. During encoding, we observed decodable information at all levels of granularity in category-selective visual cortex. In contrast, information during recall was primarily at the coarse level with fine-level information in some areas; there was no evidence of mid-level information. A closer look revealed segregation between voxels showing the strongest effects during encoding and those during recall, and peaks of encoding–recall similarity extended anterior to category-selective cortex. Collectively, these results suggest visual recall is not merely a reactivation of encoding patterns, displaying a different representational structure and localization from encoding, despite some overlap.