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10,812 results for “novels”
Data from: A novel protein-based fruit fly trap in melon flies Bactrocera cucurbitae for effective pest control management
<p>Agriculture remains a major source of subsistence for local communities in India. However, agricultural yield can be strongly affected by agricultural pest outbreaks. This can result in economic losses for small-scale farmers who already experience socioeconomic challenges, such as lack of appropriate infrastructure and subsidies. Sophisticated pest management techniques (e.g., sterile insect technique) are less accessible to small farmers in developing countries and therefore, alternative cost-effective approaches for pest management are needed. Here, we report our findings of a three-year-long field trial (2018 to 2020) in India which was designed to test for the potential effectiveness of a novel, slow-release formulation protein-based trap, compared to standard Cuelure traps against melon flies <em>Bactrocera</em> <em>cucurbitae</em> (Diptera: Tephritidae). Protein-bait traps can attract flies from both sexes (as opposed to males-only, chemical traps), bearing the potential to have greater long-term impact on pest populations by decreasing future reproductive potential of trapped individuals. We found that Cuelure had overall higher trapping performance, while protein-bait traps, despite trapping at lower efficiency, were equally effective for males and females. Simulations with our field data revealed that protein-bait traps can have an 'inclusive' advantage by trapping females and thereby preventing future individuals. Overall, our study highlights the potential benefits of using this alternative trapping technique to supplement pest management in developing countries.</p>
Data for: A novel cricket morph has diverged in song and wing morphology across island populations
<p class="MsoNormal"><span>Divergence of sexual signals between populations can lead to speciation, yet opportunities to study the immediate aftermath of novel signal evolution are rare. The recent emergence and spread of a new mating song, purring, in Hawaiian populations of the Pacific field cricket (<em>Teleogryllus oceanicus</em>) allows us to investigate population divergence soon after the origin of a new signal. Male crickets produce songs with specialized wing structures to attract mates from afar (calling) and entice them to mate when found (courtship). However, in Hawaii, these songs also attract an eavesdropping parasitoid fly (<em>Ormia ochracea</em>) that kills singing males. The novel purring song, produced with heavily modified wing morphology, attracts female crickets but not the parasitoid fly, acting as a solution to this conflict between natural and sexual selection. We've since observed increasing numbers of purring males across Hawaii. In this integrative field study, we investigated the distribution of purring and the proportion of purring males relative to other morphs in six populations on four islands and compared a suite of phenotypic traits (wing morphology, calling song, and courtship song) that make up this novel signal across populations of purring males. We show that purring is found in varying proportions across five, and is locally dominant in four, Hawaiian populations. We also show that calling songs, courtship songs, and wing morphology of purring males differ geographically. Our findings demonstrate the rapid pace of evolution in island populations and provide insights into the emergence and divergence of new sexual signals over time.</span></p>
MITF/miR-579-3p novel regulatory axis controls BRAF-mutated melanoma decision between cell senescence or progression upon exposure to MAPK inhibitors.
<p><strong>Abstract</strong></p> <p>Therapy of metastatic melanoma has improved dramatically over the last years thanks to the development of targeted therapies (MAPK inhibitors) and immunotherapies. However, drug resistance continues to be a major limitation to the efficacy of these therapies. Our research group has provided robust evidence as to the involvement of a set of microRNAs in the development of resistance to target therapy in BRAF-mutated melanoma cell lines. Among them, a pivotal role is played by miR-579-3p, whose role as oncosuppressor was discovered by our group some years ago. Here we show that miR-579-3p and the microphthalmia-associated transcription factor (MITF) influence reciprocally their expression through positive feedback regulatory loops. In particular we show that miR-579-3p is specifically deregulated in BRAF-mutant melanomas and that its expression levels mirror those of MITF. Luciferase and ChIP studies show that MITF is a positive regulator of miR-579-3p, which is located in the intron 11 of the human gene ZFR (Zink-finger recombinase) and is co-transcribed with its host gene. Moreover, miR-579-3p, by targeting BRAF is able to stabilize MITF protein thus inducing its own transcription. As a consequence, upon exposure to MAPK inhibitors or, alternatively upon miR-579-3p transfection, the activation of this newly uncovered miR-579-3p/MITF axis induces a potent block of proliferation and senescence of BRAF-mutant melanoma cells. Moreover, the long term development of resistance to MAPKi is able to select cells characterized by the loss of both miR-579-3p and MITF and the same down-regulation is also present in patients relapsing after targeted therapies treatments. Altogether these findings suggest that miR-579-3p/MITF interplay potentially governs the balance between proliferation, senescence and resistance to target therapies in BRAF-mutant melanomas.</p> <p><strong>KEYWORDS: </strong></p> <p><strong>Acknowledgements</strong></p> <p>This study was supported by Italian Association for Cancer Research (AIRC) grants IG19865 to G. Ciliberto and IG24451 to R. Mancini and by the Lazio Innova grants 2018 n. 85-2017-13750 and 2020 n. A0375-2020-36657 to R. Mancini and by Italian Minister of Health grant PRIN 2017 (Prot. 2017HWTP2K) to G. Ciliberto and R. Mancini, by Italian Minister of Health through “Ricerca Corrente” grant L2/1 to P.A. Ascierto. The study was also supported by Lega Italiana per la Lotta ai Tumori (LILT) grant n. 2021U0001637 to L. Fattore. We thank all patients who donated samples for this research.</p>
First-principles insights into the electronic, optical, thermophysical, and mechanical properties of lead-free cubic novel Ba3SbBr3 perovskite
<p>Lead-free halide perovskites have emerged as a significant class of materials with immense<br> potential for solar cell synthesis. Among these materials, Ba3SbBr3, a halide novel perovskite,<br> exhibits remarkable efficiency and holds promise for solar cell applications. There are a lot of<br> physical properties, including its elasticity, electrical composition, bonding, thermophysical,<br> optoelectronic properties, and optical properties, that remain unexplored. In this study, we<br> employ advanced density functional theory-based computations to investigate and unveil the<br> previously unidentified physical properties of novel Ba3SbBr3. Our research encompasses a wide<br> range of analyses, covering mechanical stability, phonon dispersion properties, thermophysical<br> properties, elastic parameters, and bonding nature. By precisely analyzing the phonon dispersion<br> properties and applying the Born-Huang criteria, we demonstrated it as mechanically stable.<br> Moreover, our investigation demonstrates that Ba3SbBr3 exhibits favorable machinability and</p> <p>mechanical isotropy through the analysis of various elastic parameters. ELATE’s three-<br> dimensional visualization and optical properties also show isotropic behavior in all directions.</p> <p>The electron charge density reveals the possession of the ionic bonding. Additionally, Ba3SbBr3<br> possesses a direct bandgap, which is essential for efficient optoelectronic performance. The study<br> also encompasses an exploration of the thermophysical properties including the melting<br> temperature, Debye temperature, Grüneisen parameter, and thermal expansion coefficient. The<br> higher values observed in these properties highlight the material's enhanced mechanical stability,<br> thermal stability, and overall suitability for optoelectronic device applications. A large range of<br> photoconductivity and absorption coefficient indicates the suitability of its application in solar<br> cells. The comprehensive investigation conducted in this study contributes novel insights into the<br> unexplored physical properties of Ba3SbBr3, providing a solid foundation for future research<br> endeavors. The findings presented here serve as a valuable reference and inspiration for further<br> theoretical and experimental studies in this rapidly evolving field. The knowledge gained from<br> this research holds great promise for advancing the development of solar engineering and device<br> technologies.</p>
Supporting Information: Exploring Novel Antimalarial Compounds Targeting Plasmodium falciparum Enoyl-ACP Reductase: Computational and Experimental Insights
<ul> <li>Library 1 with molecules already tested in vitro against PfENR in .sdf format. for the first molecular docking.</li> <li>.omv file of data used for ROC curve analysis.</li> <li>Library 2 with molecules structurally similar to the leader molecules LD1 and LD2 in .sdf format.</li> <li>CHJ and TCL standards used in molecular docking and DM.</li> <li>Chain A of the PDB coded structure 4IGE with NADH used in the molecular docking experiment.</li> <li>Input files for DM in PDB format:</li> </ul> <p>- PfENR_NAD_CHJ_DM</p> <p>- PfENR_NAD_LG1_DM</p> <p>- PfENR_NAD_LG2_DM</p> <p>- PfENR_NAD_TCL_DM</p> <ul> <li>The md file contains all the necessary data, including the scripts, for reproducing Molecular Dynamics.</li> </ul>
Implementation of the novel Duo-Grid in GFDL's FV3 Dynamical Core - Code and simulations files
<p>Supporting simulation files and code for the JAMES technical paper: Implementation of the novel Duo-Grid in GFDL’s FV3 Dynamical Core. This study tests the Duo-Grid implementation in FV3 through idealized 2D and 3D simulations to address the issue of cubed sphere grid imprinting. Please note that the provided code is still a test version. It is compiled with the FMS version tag 2020.04.</p>
Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging. (Histology Images)
<p>These are the histology images on "Data-driven transcriptomics analysis identifies PCSK9 as a novel key regulator in liver aging."</p>
Role of immigrant males and muzzle contacts in the uptake of a novel food by wild vervet monkeys
<p>Data and script used to analyse data for the study: "Role of immigrant males and muzzle contacts in the uptake of a novel food by wild vervet monkeys"</p>
Data from: Novel methods to define invasive procedures at the end-of-life were developed to improve quality of end of life care research: A population-based cohort study in colorectal cancer
<p><strong>Background</strong></p> <p>Understanding the use of invasive procedures (IPs) at the end-of-life (EoL) is important to avoid under- and overtreatment, but epidemiologic analysis is hampered by limited methods to define treatment intent and EoL phase. This study applied novel methods to report IPs at the EoL using a colorectal cancer (CRC) case study.</p> <p><strong>Methods</strong></p> <p>An English population-based cohort of adult patients diagnosed between 2013 and 2015 was used with follow-up to 2018. Procedure intent (curative, non-curative, diagnostic) by cancer site and stage at diagnosis was classified by two surgeons independently. Joinpoint regression modelled weekly rates of IPs for 36 sub-cohorts of patients with incremental survival of 0-36 months. EoL phase was defined by a significant IP rate change before death. Zero-inflated Poisson regression explored associations between IP rates and clinical/sociodemographic variables.</p> <p><strong>Results</strong></p> <p>Of 87,731 patients included, 41,972 (48%) died. 9,492 procedures were classified by intent (interrater agreement 99.8%). Patients received 502,895 IPs (1.39 and 3.36 per person year for survivors and decedents). Joinpoint regression identified significant increases in IPs four weeks before death in those living 3-6 months, and eight weeks before death in those living 7–36 months from diagnosis. 7,908 (18.8%) patients underwent IPs at the EoL, with stoma formation the most common major procedure. Younger age, early-stage disease, men, lower comorbidity, those receiving chemotherapy and living longer from diagnosis were associated with IPs.</p> <p><strong>Conclusions</strong></p> <p>Methods to identify and classify IPs at the EoL were developed and tested within a CRC population. This approach can be now extended and validated to identify potential under- and overtreatment. </p>
SCI-3000: A Novel Dataset for the Task of Figure, Table and Caption Extraction from Scientific PDFs
<p>This dataset contains bounding boxes of figures, tables, captions in 34,791 pages extracted from 3000 open-access scientific publications from the fields of medicine, chemistry, physics, computer science, and technology. The underlying publications are also included in PDF form.</p> <p>For more details, refer to the README file.</p>
A Novel Algorithm for Estimating Web Page Ranking in Search Engine Results Pages
<p><em><strong>Abstract:</strong> </em>Search engine optimization (SEO) can make a big improvement in the traffic to a web page. Because search engines keep their main rules of ranking undeclared, it’s important to develop models that can estimate the ranking of a web page in the search engine to be able to optimize web pages to rank higher in the search engine. The available research methodologies used machine learning algorithms to provide solutions for this target with the help of generated datasets by scraping the search engine results pages (SERP) and crawling web pages. Their proposed models suffered from the inability to be updated dynamically if the search engine updated its ranking algorithm, and their input data did not include the diversity of web pages and languages. This research will propose a novel original rank estimation algorithm that’s able to overcome other research challenges, with a set of comparative experiments and complexity analysis. Results will show that the proposed algorithm could achieve higher values of accuracy, precision, and recall.</p> <p><strong><em>Dataset: </em></strong></p> <p>For research purpose, the dataset will play two roles, first, it will act the role of search engine result pages (SERP), and second, it will be used to test algorithms and calculate performance measurements. Dataset is consisting of 9930 web pages, aimed to identify search results pages, focusing on the top 3 pages of SERP, with 31 extracted attributes that's related to search engine optimization (SEO). The distribution of examples between class labels was balanced, with changes due to scraping operation issues, but not significantly different, with fractions of 39.9%, 34.6%, and 25.5% for the class labels page1, page2, and page 3. Feature names are: 'Title 1 Length', 'Title 2 Length', 'Meta Description 1 Length', 'Meta Description 2 Length', 'Meta Keywords 1 Length', 'H1-1 Length', 'H1-2 Length', 'H2-1 Length', 'H2-2 Length', 'Size (bytes)', 'Word Count', 'Text Ratio', 'Inlinks', 'Unique Inlinks', 'Unique JS Inlinks', '% of Total', 'Outlinks', 'Unique Outlinks', 'Unique JS Outlinks', 'External Outlinks', 'Unique External Outlinks', 'Unique External JS Outlinks', 'Response Time', 'Status Code', 'Keyword in MetaDescription1', 'Keyword in Title1', 'Keyword in MetaKeywords1', 'Keyword in URL', 'Has LastModified', 'Keyword in Headers', and 'Keyword in Emphasized Text'.</p> <p>The process of dataset generation involved scraping the search engine, extracting URLs for selected keywords, focusing on feature extraction, cleaning and preprocessing, and generating new attributes related to keywords in web pages. It involved also removing missing values, duplicates, and data type conversions to obtain a comprehensive dataset.<br> Keyword selection involves selecting keywords from various categories and considering diversity, including high and low traffic, long-term and short-term keywords, and generic and branded keywords. Apify online tool was used for search engine scraping with default language and US country, resulting in 388 selected keywords with 30 results per keyword. Dataset included extracted SEO features from 9991 web pages using screamingFrog desktop software and Rapidminer desktop software, determining page SEO-friendliness and comparing it to SERP rankings. Dataset cleaning involved removing redundant attributes, removing paid SERP results, replacing missing values, and converting data types. Rapidminer was used for data cleaning and preprocessing, generating new attributes related to keyword usage in web pages.<br> </p>
Data for "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors"
<p>Data for publication "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors".All structures of complex and input files for FMO , FMO/SMD , FMO/PCM , and COSMO calculation are provided .</p>
DLC networks from: Application of a novel deep learning based 3D videography workflow to bat flight data
<p>Studying the detailed biomechanics of flying animals relies on producing accurate three-dimensional coordinates for key anatomical landmarks. Traditionally, this is achieved through manual digitization of animal videos, a labor-intensive task that grows more so with increasing frame rates and numbers of cameras. In this study, we present a workflow that combines deep learning-powered automatic digitization with intelligent filtering and correction of mislabeled points using 3D information. We tested our workflow using a particularly challenging scenario – bat flight. First, we documented bats flying steadily in a wind tunnel. We compared the results from manually digitizing bats with markers applied to anatomical landmarks against using our automatic workflow on the same bats without markers. In our second test case, we compared manual digitization against our automated workflow for bats exhibiting complex maneuvers in a large flight arena. We found that the variation between the 3D coordinates from our workflow and those from manual digitization was less than a millimeter larger than the variation between 3D coordinates resulting from two different human digitizers. The reduced reliance on manual digitization stemming from this work has the potential to significantly increase the scalability of studies into the detailed biomechanics of animal flight.</p>
Figure 1 in Observations Of Novel Feeding Tactics In Guira Cuckoo Guira Guira (Aves: Cuculidae)
Figure 1. Mature larva of Brassolis sophorae.
Machine learning-based q-RASAR approach for the in silico identification of novel multi-target inhibitors against Alzheimer's disease
<p>In the present research, we propose a novel approach, termed the Machine Learning (ML)-Based q-RASAR (quantitative read-across structure-activity relationship) method, for the identification of potential multi-target inhibitors against AD. The q-RASAR effectively combines the principles of both read-across and 2D QSAR approaches. As a result, it is imperative to take into account similarity-related aspects in the process of developing q-RASAR models. In this investigation, we have implemented ML-based q-RASAR modeling against seven major targets (AChE, BuChE, BACE1, 5-HT6, CDK-5 enzymes, Amyloid precursor protein, and Tau aggregation) of AD using the initially selected features in 2D QSAR models for the identifications of novel multitarget inhibitors. The models were individually used to check the applicability domain of a pool of 407270 natural products (NPs) obtained from the COCONUT database (<a href="https://coconut.naturalproducts.net/download">https://coconut.naturalproducts.net/download</a>) and provided prioritized compounds for experimental detection of their performance as anti-Alzheimer's drugs. Furthermore, we have also developed the q-RASAAR (quantitative read-across structure-activity-activity relationship) and selectivity-based q-RASAR models to explore the most important features contributing to the dual inhibition against the respective targets. Furthermore, we have applied seven distinct machine learning algorithms to enhance the predictive abilities of q-RASAR and q-RASAAR models. Moreover, we have also developed the univariate q-RASAR model, with the RA function as the primary independent variable. Moreover, molecular docking experiments have been conducted to gain insights into the atomic-level molecular interactions between ligands and enzymes. These observations are then juxtaposed with the structural characteristics obtained from models that elucidate the mechanistic aspects of binding events. These proposed models may serve as valuable tools for pinpointing crucial molecular attributes when designing potential drugs for Alzheimer's therapy through the rational design of multi-target inhibitors.</p>
Efficacy Study on Silver-coated ETT Cleaned With a Novel Device
ClinicalTrials.gov study NCT02120001. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Pilot Evaluation of AboutFace: Novel Peer Education Resource for Veterans
ClinicalTrials.gov study NCT02486692. IPD Sharing: NO. Countries: 1. Publications: 3.
Novel Approach to Stimulant Induced Weight Suppression and Its Impact on Growth
ClinicalTrials.gov study NCT01109849. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Anemia Studies in Chronic Kidney Disease: Erythropoiesis Via a Novel Prolyl Hydroxylase Inhibitor Daprodustat-Non-Dialysis (ASCEND-ND)
ClinicalTrials.gov study NCT02876835. IPD Sharing: YES. Countries: 39. Publications: 5.
COLUMBIA-1: Novel Oncology Therapies in Combination With Chemotherapy and Bevacizumab as First- Line Therapy in MSS-CRC
ClinicalTrials.gov study NCT04068610. IPD Sharing: YES. Countries: 5. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.