bluuebunny/crossref_metadata_2025_split huggingface dataset:
LiDAR-based reference aboveground biomass maps for tropical forests of South Asia and Central Africa
Authors: Rodda Suraj Reddy , Fararoda Rakesh , Gopalakrishnan Rajashekar , Jha Nidhi , Réjou-Méchain Maxime , Couteron Pierre , Barbier Nicolas , Alfonso Alonso , Bako Ousmane , Bassama Patrick , Behera Debabrata , Bissiengou Pulcherie , Biyiha Hervé , Brockelman Warren Y. , Chanthorn Wirong , Chauhan Prakash , Dadhwal Vinay Kumar , Dauby Gilles , Deblauwe Vincent , Dongmo Narcis , Droissart Vincent , Jeyakumar Selvaraj , Jha Chandra Shekar , Kandem Narcisse G. , Katembo John , Kougue Ronald , Leblanc Hugo , Lewis Simon , Libalah Moses , Manikandan Maya , Martin-Ducup Olivier , Mbock Germain , Memiaghe Hervé , Mofack Gislain , Mutyala Praveen , Narayanan Ayyappan , Nathalang Anuttara , Ndjock Gilbert Oum , Ngoula Fernandez , Nidamanuri Rama Rao , Pélissier Raphaël , Saatchi Sassan , Sagang Le Bienfaiteur , Salla Patrick , Simo-Droissart Murielle , Smith Thomas B. , Sonké Bonaventure , Stevart Tariq , Tjomb Danièle , Zebaze Donatien , Zemagho Lise , Ploton Pierre 
Published: April 2024

AbstractAccurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies and improving our understanding of Earth’s carbon cycle. However, existing large-scale maps of tropical forest AGB generated through combinations of Earth Observation (EO) and forest inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network of high-quality reference data is needed to calibrate and validate mapping algorithms. This study aims to generate reference AGB datasets using field inventory plots and airborne LiDAR data for eight sites in Central Africa and five sites in South Asia, two regions largely underrepresented in global reference AGB datasets. The study provides access to these reference AGB maps, including uncertainty maps, at 100 m and 40 m spatial resolutions covering a total LiDAR footprint of 1,11,650 ha [ranging from 150 to 40,000 ha at site level]. These maps serve as calibration/validation datasets to improve the accuracy and reliability of AGB mapping for current and upcoming EO missions (viz., GEDI, BIOMASS, and NISAR).
Emotional self-knowledge profiles and relationships with mental health indicators support value in ‘knowing thyself’
Authors: Nonweiler Jacqueline , Vives Jaume , Barrantes-Vidal Neus , Ballespí Sergi 
Published: April 2024

Abstract“Know thyself” may be indicated by a balanced high pairing of two emotional self-knowledge indicators: attention to emotions and emotional clarity. Closely associated but often evaluated separately, emotional clarity is consistently, inversely associated with psychopathology, while evidence regarding attention to emotions is less consistent. Variables of high/low emotional clarity and attention to emotions yielded four emotional self-knowledge profiles which were analyzed for associations with mental health indicators (depression and anxiety symptoms, self-esteem, self-schema, resiliency, transcendence) in n = 264 adolescents. Here we report regression models which show that compared with neither, both high (attention + clarity) show higher positive self-schema (B = 2.83, p = 0.004), more resiliency (B = 2.76, p = 0.015) and higher transcendence (B = 82.4, p < 0.001), while high attention only is associated with lower self-esteem (B = − 3.38, p < 0.001) and more symptoms (B = 5.82, p < 0.001 for depression; B = 9.37, p < 0.001 for anxiety). High attention only is associated with most severe impairment all indicators excepting transcendence. Profiles including high clarity suggest protective effects, and ‘implicit’ versus ‘explicit’ emotional awareness are discussed. Balanced vs. imbalanced emotional self-awareness profiles dissimilarly affect mental health, which have implications for treatment and policy.
EZH2 as a major histone methyltransferase in PDGF-BB-activated orbital fibroblast in the pathogenesis of Graves’ ophthalmopathy
Authors: Visamol Sopita , Palaga Tanapat , Saonanon Preamjit , Pruksakorn Vannakorn , Hirankarn Nattiya , van Hagen P. Martin , Dik Willem A. , Virakul Sita 
Published: April 2024

AbstractGraves’ ophthalmopathy (GO) is an extra-thyroidal complication of Graves’ disease which can lead to vision loss in severe cases. Currently, treatments of GO are not sufficiently effective, so novel therapeutic strategies are needed. As platelet-derived growth factor (PDGF)-BB induces several effector mechanisms in GO orbital fibroblasts including cytokine production and myofibroblast activation, this study aims to investigate the roles of histone lysine methyltransferases (HKMTs) in PDGF-BB-activated GO orbital fibroblasts by screening with HKMTs inhibitors library. From the total of twelve selective HKMT inhibitors in the library, EZH2, G9a and DOT1L inhibitors, DZNeP, BIX01294 and Pinometostat, respectively, prevented PDGF-BB-induced proliferation and hyaluronan production by GO orbital fibroblasts. However, only EZH2 inhibitor, DZNeP, significantly blocked pro-inflammatory cytokine production. For the HKMTs expression in GO orbital fibroblasts, PDGF-BB significantly and time-dependently induced EZH2, G9a and DOT1L mRNA expression. To confirm the role of EZH2 in PDGF-BB-induced orbital fibroblast activation, EZH2 silencing experiments revealed suppression of PDGF-BB-induced collagen type I and α-SMA expression along with decreasing histone H3 lysine 27 trimethylation (H3K27me3) level. In a more clinically relevant model than orbital fibroblast culture experiments, DZNeP treated GO orbital tissues significantly reduced pro-inflammatory cytokine production while slightly reduced ACTA2 mRNA expression. Our data is the first to demonstrate that among all HKMTs EZH2 dominantly involved in the expression of myofibroblast markers in PDGF-BB-activated orbital fibroblast from GO presumably via H3K27me3. Thus, EZH2 may represent a novel therapeutics target for GO.
Dietary salt promotes cognition impairment through GLP-1R/mTOR/p70S6K signaling pathway
Authors: Yang Xu , Liu Shu , Wang Chuanling , Fan Haixia , Zou Qian , Pu Yingshuang , Cai Zhiyou 
Published: April 2024

AbstractDietary salt has been associated with cognitive impairment in mice, possibly related to damaged synapses and tau hyperphosphorylation. However, the mechanism underlying how dietary salt causes cognitive dysfunction remains unclear. In our study, either a high-salt (8%) or normal diet (0.5%) was used to feed C57BL/6 mice for three months, and N2a cells were cultured in normal medium, NaCl medium (80 mM), or NaCl (80 mM) + Liraglutide (200 nM) medium for 48 h. Cognitive function in mice was assessed using the Morris water maze and shuttle box test, while anxiety was evaluated by the open field test (OPT). Western blotting (WB), immunofluorescence, and immunohistochemistry were utilized to assess the level of Glucagon-like Peptide-1 receptor (GLP-1R) and mTOR/p70S6K pathway. Electron microscope and western blotting were used to evaluate synapse function and tau phosphorylation. Our findings revealed that a high salt diet (HSD) reduced the level of synaptophysin (SYP) and postsynaptic density 95 (PSD95), resulting in significant synaptic damage. Additionally, hyperphosphorylation of tau at different sites was detected. The C57BL/6 mice showed significant impairment in learning and memory function compared to the control group, but HSD did not cause anxiety in the mice. In addition, the level of GLP-1R and autophagy flux decreased in the HSD group, while the level of mTOR/p70S6K was upregulated. Furthermore, liraglutide reversed the autophagy inhibition of N2a treated with NaCl. In summary, our study demonstrates that dietary salt inhibits the GLP-1R/mTOR/p70S6K pathway to inhibit autophagy and induces synaptic dysfunction and tau hyperphosphorylation, eventually impairing cognitive dysfunction.
Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium
Authors: Flores Vinicius S. , Amgarten Deyvid E. , Iha Bruno Koshin Vázquez , Ryon Krista A. , Danko David , Tierney Braden T. , Mason Christopher , da Silva Aline Maria , Setubal João Carlos 
Published: April 2024

AbstractBacteriophages are recognized as the most abundant members of microbiomes and have therefore a profound impact on microbial communities through the interactions with their bacterial hosts. The International Metagenomics and Metadesign of Subways and Urban Biomes Consortium (MetaSUB) has sampled mass-transit systems in 60 cities over 3 years using metagenomics, throwing light into these hitherto largely unexplored urban environments. MetaSUB focused primarily on the bacterial community. In this work, we explored MetaSUB metagenomic data in order to recover and analyze bacteriophage genomes. We recovered and analyzed 1714 phage genomes with size at least 40 kbp, from the class Caudoviricetes, the vast majority of which (80%) are novel. The recovered genomes were predicted to belong to temperate (69%) and lytic (31%) phages. Thirty-three of these genomes have more than 200 kbp, and one of them reaches 572 kbp, placing it among the largest phage genomes ever found. In general, the phages tended to be site-specific or nearly so, but 194 genomes could be identified in every city from which phage genomes were retrieved. We predicted hosts for 48% of the phages and observed general agreement between phage abundance and the respective bacterial host abundance, which include the most common nosocomial multidrug-resistant pathogens. A small fraction of the phage genomes are carriers of antibiotic resistance genes, and such genomes tended to be particularly abundant in the sites where they were found. We also detected CRISPR-Cas systems in five phage genomes. This study expands the previously reported MetaSUB results and is a contribution to the knowledge about phage diversity, global distribution, and phage genome content.
Effectiveness of low frequency vibration on the rate of canine retraction: a randomized controlled clinical trial
Authors: Abd ElMotaleb Mohamed Atfy , El-Beialy Amr Ragab , El-Sharaby Fouad Aly , ElDakroury Amr Emad , Eid Ahmed Abdelsalam 
Published: April 2024

AbstractTo investigate the effectiveness of AcceleDent Aura vibrating device on the rate of canine retraction. Thirty-two patients requiring extraction of upper first premolars and canine retraction were randomly allocated with a 1:1 ratio into either no-appliance group or the AcceleDent Aura appliance group. Canine retraction was done applying 150gm of retraction force using NiTi coil springs on 16 × 22 stainless steel archwires. The duration of the study was 4 months. Models were collected and digitized directly after extraction of upper first premolars and at monthly intervals during canine retraction for recording the monthly as well as the total distance moved by the canine. Digitized models were superimposed on the initial model and data were statistically analyzed. Anchorage loss, rotation, tipping, torque and root condition were evaluated using cone beam computed tomography imaging. Pain was evaluated by visual analog scale. No patients were dropped-out during this study. There was no statistically significant difference between both groups regarding the total distance travelled by the canine (P = 0.436), as well as the rate of canine retraction per month (P = 0.17). Root condition was the same for the two groups. Regarding the pain level, there was no statistically significant difference between the two groups at day 0 (P = 0.721), after 24 h (P = 0.882), after 72 h (P = 0.378) and after 7 days (P = 0.964). AcceleDent Aura was not able to accelerate orthodontic tooth movement. Pain level couldn’t be reduced by vibrational force with an AcceleDent device during orthodontic treatment. Root condition was not affected by the vibrational forces.
The influence of the precuneus on the medial temporal cortex determines the subjective quality of memory during the retrieval of naturalistic episodes
Authors: Foudil Samy-Adrien , Macaluso Emiliano 
Published: April 2024

AbstractMemory retrieval entails dynamic interactions between the medial temporal lobe and areas in the parietal and frontal cortices. Here, we tested the hypothesis that effective connectivity between the precuneus, in the medial parietal cortex, and the medial temporal cortex contributes to the subjective quality of remembering objects together with information about their rich spatio-temporal encoding context. During a 45 min encoding session, the participants were presented with pictures of objects while they actively explored a virtual town. The following day, under fMRI, participants were presented with images of objects and had to report whether: they recognized the object and could remember the place/time of encoding, the object was familiar only, or the object was new. The hippocampus/parahippocampus, the precuneus and the ventro-medial prefrontal cortex activated when the participants successfully recognized objects they had seen in the virtual town and reported that they could remember the place/time of these events. Analyses of effective connectivity showed that the influence exerted by the precuneus on the medial temporal cortex mediates this effect of episodic recollection. Our findings demonstrate the role of the inter-regional connectivity in mediating the subjective experience of remembering and underline the relevance of studying memory in contextually-rich conditions.
Biocontrol of multidrug resistant pathogens isolated from fish farms using silver nanoparticles combined with hydrogen peroxide insight to its modulatory effect
Authors: Saad Mai F. , Elsayed Mona M. , Khder Mariam , Abdelaziz Ahmed S. , El-Demerdash Azza S. 
Published: April 2024

AbstractThis study was divided into two parts. The first part involved the isolation, and detection of the prevalence and antimicrobial resistance profile of Aeromonas hydrophila, Pseudomonas aeruginosa, and Vibrio species from Nile tilapia fish and marine aquatic water. One hundred freshly dead Nile tilapia fish were collected from freshwater aquaculture fish farms located in Al-Abbassah district, Sharkia Governorate, and 100 samples of marine aquatic water were collected from fish farms in Port Said. The second part of the study focused on determining the in vitro inhibitory effect of dual-combination of AgNPs-H2O2 on bacterial growth and its down regulatory effect on crucial virulence factors using RT-PCR. The highest levels of A. hydrophila and P. aeruginosa were detected in 43%, and 34% of Nile tilapia fish samples, respectively. Meanwhile, the highest level of Vibrio species was found in 37% of marine water samples. Additionally, most of the isolated A. hydrophila, P. aeruginosa and Vibrio species exhibited a multi-drug resistance profile. The MIC and MBC results indicated a bactericidal effect of AgNPs-H2O2. Furthermore, a transcriptional modulation effect of AgNPs-H2O2 on the virulence-associated genes resulted in a significant down-regulation of aerA, exoU, and trh genes in A. hydrophila, P. aeruginosa, and Vibrio spp., respectively. The findings of this study suggest the effectiveness of AgNPs-H2O2 against drug resistant pathogens related to aquaculture.
Large-scale assessment of physical activity in a population using high-resolution hip-worn accelerometry: the German National Cohort (NAKO)
Authors: Weber Andrea , van Hees Vincent T. , Stein Michael J. , Gastell Sylvia , Steindorf Karen , Herbolsheimer Florian , Ostrzinski Stefan , Pischon Tobias , Brandes Mirko , Krist Lilian , Marschollek Michael , Greiser Karin Halina , Nimptsch Katharina , Brandes Berit , Jochem Carmen , Sedlmeier Anja M. , Berger Klaus , Brenner Hermann , Buck Christoph , Castell Stefanie , Dörr Marcus , Emmel Carina , Fischer Beate , Flexeder Claudia , Harth Volker , Hebestreit Antje , Heise Jana-Kristin , Holleczek Bernd , Keil Thomas , Koch-Gallenkamp Lena , Lieb Wolfgang , Meinke-Franze Claudia , Michels Karin B. , Mikolajczyk Rafael , Kluttig Alexander , Obi Nadia , Peters Annette , Schmidt Börge , Schipf Sabine , Schulze Matthias B. , Teismann Henning , Waniek Sabina , Willich Stefan N. , Leitzmann Michael F. , Baurecht Hansjörg 
Published: April 2024

AbstractLarge population-based cohort studies utilizing device-based measures of physical activity are crucial to close important research gaps regarding the potential protective effects of physical activity on chronic diseases. The present study details the quality control processes and the derivation of physical activity metrics from 100 Hz accelerometer data collected in the German National Cohort (NAKO). During the 2014 to 2019 baseline assessment, a subsample of NAKO participants wore a triaxial ActiGraph accelerometer on their right hip for seven consecutive days. Auto-calibration, signal feature calculations including Euclidean Norm Minus One (ENMO) and Mean Amplitude Deviation (MAD), identification of non-wear time, and imputation, were conducted using the R package GGIR version 2.10-3. A total of 73,334 participants contributed data for accelerometry analysis, of whom 63,236 provided valid data. The average ENMO was 11.7 ± 3.7 mg (milli gravitational acceleration) and the average MAD was 19.9 ± 6.1 mg. Notably, acceleration summary metrics were higher in men than women and diminished with increasing age. Work generated in the present study will facilitate harmonized analysis, reproducibility, and utilization of NAKO accelerometry data. The NAKO accelerometry dataset represents a valuable asset for physical activity research and will be accessible through a specified application process.
Efficient parameter extraction of photovoltaic models with a novel enhanced prairie dog optimization algorithm
Authors: Izci Davut , Ekinci Serdar , Hussien Abdelazim G. 
Published: April 2024

AbstractThe growing demand for solar energy conversion underscores the need for precise parameter extraction methods in photovoltaic (PV) plants. This study focuses on enhancing accuracy in PV system parameter extraction, essential for optimizing PV models under diverse environmental conditions. Utilizing primary PV models (single diode, double diode, and three diode) and PV module models, the research emphasizes the importance of accurate parameter identification. In response to the limitations of existing metaheuristic algorithms, the study introduces the enhanced prairie dog optimizer (En-PDO). This novel algorithm integrates the strengths of the prairie dog optimizer (PDO) with random learning and logarithmic spiral search mechanisms. Evaluation against the PDO, and a comprehensive comparison with eighteen recent algorithms, spanning diverse optimization techniques, highlight En-PDO’s exceptional performance across different solar cell models and CEC2020 functions. Application of En-PDO to single diode, double diode, three diode, and PV module models, using experimental datasets (R.T.C. France silicon and Photowatt-PWP201 solar cells) and CEC2020 test functions, demonstrates its consistent superiority. En-PDO achieves competitive or superior root mean square error values, showcasing its efficacy in accurately modeling the behavior of diverse solar cells and performing optimally on CEC2020 test functions. These findings position En-PDO as a robust and reliable approach for precise parameter estimation in solar cell models, emphasizing its potential and advancements compared to existing algorithms.
Distinct CD16a features on human NK cells observed by flow cytometry correlate with increased ADCC
Authors: Benavente Maria C. Rodriguez , Hakeem Zainab A. , Davis Alexander R. , Murray Nathan B. , Azadi Parastoo , Mace Emily M. , Barb Adam W. 
Published: April 2024

AbstractNatural killer (NK) cells destroy tissue that have been opsonized with antibodies. Strategies to generate or identify cells with increased potency are expected to enhance NK cell-based immunotherapies. We previously generated NK cells with increased antibody-dependent cell mediated cytotoxicity (ADCC) following treatment with kifunensine, an inhibitor targeting mannosidases early in the N-glycan processing pathway. Kifunensine treatment also increased the antibody-binding affinity of Fc γ receptor IIIa/CD16a. Here we demonstrate that inhibiting NK cell N-glycan processing increased ADCC. We reduced N-glycan processing with the CRIPSR-CAS9 knockdown of MGAT1, another early-stage N-glycan processing enzyme, and showed that these cells likewise increased antibody binding affinity and ADCC. These experiments led to the observation that NK cells with diminished N-glycan processing capability also revealed a clear phenotype in flow cytometry experiments using the B73.1 and 3G8 antibodies binding two distinct CD16a epitopes. We evaluated this “affinity profiling” approach using primary NK cells and identified a distinct shift and differentiated populations by flow cytometry that correlated with increased ADCC.
Phosphoproteomic investigation of targets of protein phosphatases in EGFR signaling
Authors: Eguchi Akihiro , Olsen Jesper V. 
Published: April 2024

AbstractReceptor tyrosine kinases (RTKs) initiate cellular signaling pathways, which are regulated through a delicate balance of phosphorylation and dephosphorylation events. While many studies of RTKs have focused on downstream-activated kinases catalyzing the site-specific phosphorylation, few studies have focused on the phosphatases carrying out the dephosphorylation. In this study, we analyzed six protein phosphatase networks using chemical inhibitors in context of epidermal growth factor receptor (EGFR) signaling by mass spectrometry-based phosphoproteomics. Specifically, we focused on protein phosphatase 2C (PP2C), involved in attenuating p38-dependent signaling pathways in various cellular responses, and confirmed its effect in regulating p38 activity in EGFR signaling. Furthermore, utilizing a p38 inhibitor, we classified phosphosites whose phosphorylation status depends on PP2C inhibition into p38-dependent and p38-independent sites. This study provides a large-scale dataset of phosphatase-regulation of EGF-responsive phosphorylation sites, which serves as a useful resource to deepen our understanding of EGFR signaling.
Surface defect detection method for discarded mechanical parts under heavy rust coverage
Authors: Zhang Zelin , Wang Xinyang , Wang Lei , Xia Xuhui 
Published: April 2024

AbstractWith a significant number of mechanical products approaching the retirement phase, the batch recycling of discarded mechanical parts necessitates a preliminary assessment of their surface condition. However, the presence of surface rust poses a challenge to defect identification. Therefore, this paper proposes a method for detecting heavily rusted surface defects based on an improved YOLOv8n network. In the Backbone, the C2f-DBB module of re-parameterized deep feature extraction was introduced, and the attention module was designed to improve the accuracy of information extraction. In the Neck part, a Bi-Afpn multiscale feature fusion strategy is designed to facilitate information exchange between features at different scales. Finally, Focal-CIoU is employed as the bounding box loss function to enhance the network’s localization performance and accuracy for defects. Experimentally, it is proved that the improved network in this paper improves the Recall, Precision, and mAP0.5 by 1.2%, 2.1%, and 1.9%, respectively, on the original basis, which is better than other network models.