bluuebunny/crossref_metadata_2025 huggingface dataset:
Synthesis and characterization of novel molybdovanadophosphoric acid supported kaolin hybrid catalyst for Chromotrope 2R dye degradation in water
Authors: Patel Taral , Mayani Vishal J. , Mayani Suranjana V.
Published: October 2022

The present study provides a complete perspective of recyclable molybdovanadophosphoric acid immobilized on kaolin (MVPA/Kaolin), a hybrid material for catalytic degradation of the dye, Chromotrope 2R in water under mild reaction conditions. Novel MVPA/Kaolin was synthesized with an advanced impregnation method. The material was characterized with PXRD, FTIR, ICP-OES, SEM–EDX, TEM, TGA, surface area, porosity, and 31P NMR measurements. The material that can be classified as a Keggin type catalyst, could be used for hydrogen peroxide oxidation of aromatic azo (–N=N–) dyes with –OH and –SO3H functional groups. The degradation showed excellent conversion of 99.1% under optimum conditions of normal pressure and 60 °C temperature. Products like malonic acid and oxalic acid have been identified as the final products with GC–MS analysis. The present work has demonstrated the application of a simple and effective catalyst for degradation of azo dyes and the catalyst had the reusability capacity of up to six cycles without loss in performance.
Implications of a Twitter data-centred methodology for assessing commuters’ perceptions of the Delhi metro in India
Authors: Agrawal Apoorv , Kuriakose Paulose N.
Published: October 2022

Owing to the onset of the new media age, the idea of e-public participation has proven to be a great complement to the limitations of the conventional public participation approach. In this respect, location-based social networks (LBSN) data can prove to be a game shift in this digital era to offer an insight into the commuter perception of service delivery. The paper aims to investigate the potential of using Twitter data to assess commuters’ perceptions of the Delhi metro, India, by presenting a comprehensive methodology for extracting, processing, and interpreting the data. The study extracts Twitter data from the official handle of the Delhi metro, performs semantic and sentiment analysis to comprehend commuters’ concerns and assesses commuters’ sentiments on the predicted concerns. The paper outlines that the current depth of Twitter data is more inclined to instantaneous responses to grievances encountered. Moreover, the analysis presents that for the data extraction period, the topics ‘Ride Safety’ and ‘Crowding’ have the lowest scores, while ‘Personnel Attitude’ and ‘Customer Interface’ have the highest scores. Further, the paper highlights insights gleaned from Twitter data in addition to the aspects included in the conventional satisfaction survey. The paper concludes by outlining the opportunities and limitations of LBSN analytics for effective public transportation decision-making in India.
Seismogenic Fault Reactivation in Western Central Africa: Insights From Regional Stress Analysis
Authors: Nkodia Hardy Medry Dieu‐Veill , Miyouna Timothée , Kolawole Folarin , Boudzoumou Florent , Loemba Alan Patrick Rodeck , Bazebizonza Tchiguina Nicy Carmel , Delvaux Damien
Published: October 2022

The onshore continental margins of western Central Africa have been hosting potentially damaging earthquake events for decades; yet, the links between the seismicity, the contemporary stress field, and pre‐existing faults are not well understood. Here, we analyze the regional stress fields offshore and onshore along the coastal margin, and in the interior continental areas using earthquake focal mechanisms, map and characterize the detailed structure of preexisting fault systems in outcrops, and assess their reactivation potential. Our results show a switch from NNE‐SSW transpressive stress regime offshore and near the coastal margins, to NE‐SW compressive and transtensive stress regimes in the cratonic interior (Congo Basin and Kasai Block). We show that regional stresses acting on offshore oceanic fracture zones are compatible with those acting along the onshore areas of the continental margin. Field observations reveal the presence of large fault systems that deform both the Precambrian basement and Phanerozoic sedimentary sequences, with widespread calcite veining, quartz veining, and palygorskite mineralization (with evidence of post‐veining shear reactivation) along the fault zones. Along the margin, the preexisting NNE‐, NNW‐, and N‐S ‐trending strike‐slip faults and normal faults show a high slip tendency (>80%–100%), whereas in the continental interior, the NW‐ and N‐S ‐trending thrust faults are the most likely to reactivate. We argue that favorable orientation of the preexisting faults define the susceptibility of the faults to seismic reactivation. We propose that zones of higher stress magnitudes along distal offshore oceanic fracture zones extend further into the continent and may be driving stress loading on pre‐stressed, favorably oriented fault systems onshore, along the continental margin.
Biases in CMIP6 Historical U.S. Severe Convective Storm Environments Driven by Biases in Mean‐State Near‐Surface Moist Static Energy
Authors: Chavas Daniel R. , Li Funing
Published: October 2022

This work evaluates how well Coupled Model Intercomparison Project 6 models reproduce the climatology of North American severe convective storm (SCS) environments in ERA5 reanalysis and examines what drives biases across models. Biases in spring SCS environments vary widely in magnitude and spatial pattern, though most models do well in reproducing the climatological pattern and a few (MPI and CNRM) also reproduce the overall magnitude. SCS biases are driven by biases in extreme convective available potential energy. These biases are ultimately found to be driven by biases in mean‐state near‐surface moist static energy, indicating that the SCS environments depend strongly on the near‐surface mean state. Results are similar for fall, but not summer or winter when free‐tropospheric biases are also important. Biases differ strongly across parent models but weakly across child models of the same parent. These outcomes help identify models well‐suited for studying climate effects on SCS environments.
Future Changes in Eddy Kinetic Energy in the California Current System From Dynamically Downscaled Climate Projections
Authors: Cordero Quirós Nathalí , Jacox Michael G. , Pozo Buil Mercedes , Bograd Steven J.
Published: October 2022

Eddies in the California Current System (CCS) are generated via baroclinic instabilities of the upwelling jet and contribute to mesoscale variability. However, climate‐induced changes in mesoscale activity of the CCS remain poorly explored. We present future eddy kinetic energy (EKE) from an ensemble of three high‐resolution downscaled ocean projections covering 1980–2100. EKE is projected to increase throughout the CCS toward the end of the century (2071–2100) compared to a 1980–2010 reference period. Using measures of upper ocean stratification, we find an increasing EKE trend is highly correlated with a more stratified ocean. These findings support previous studies suggesting that mesoscale activity is modulated mainly by baroclinic instabilities, rather than changes in the wind components, which did not show a systematic change across the three projections. Enhanced eddy activity could lead to changes in the distribution and aggregation of biogenic material, having important implications for the CCS.
Multidecadal Variation in the Seasonal Predictability of Winter PNA and Its Sources
Authors: Yao Wangjie , Yan Xiaoqin , Tang Youmin , Yang Dejian , Tan Xiaoxiao , Song Xunshu , Liu Ting
Published: October 2022

Based on reanalysis and ensemble hindcasts data, this work investigates the multidecadal variation in the seasonal predictability of the Pacific‐North American (PNA) teleconnection pattern during the winter and its sources. The results show that at the two ends of the 20th century, the PNA is mostly driven by the El Niño‐Southern Oscillation (ENSO), and a good seasonal prediction of the PNA is expected if models can accurately predict the PNA‐ENSO relationship. During the middle 20th century, the PNA is not only driven by ENSO but also closely linked to the Pacific Decadal Oscillation through the air‐sea coupling process in the extratropical North Pacific. Improvements in the seasonal prediction of the PNA require models to accurately predict both the PNA‐ENSO relationship and the air‐sea coupling in the northern extratropical Pacific.
Improvement of the Aerosol Forecast and Analysis Over East Asia With Joint Assimilation of Two Geostationary Satellite Observations
Authors: Cheng Yueming , Dai Tie , Cao Junji , Chen Lin , Goto Daisuke , Yoshida Mayumi , Nakajima Teruyuki , Shi Guangyu
Published: October 2022

Here we present the first simultaneous assimilation of aerosol optical thicknesses (AOTs) over East Asia retrieved from two next‐generation geostationary satellites named Fengyun‐4A (FY‐4A) and Himawari‐8 with an advanced data assimilation system. A new stringent data‐control method is proposed to assimilate only the high quality aerosol products of FY‐4A. The AOTs retrieved from the two geostationary satellites are both comparable to the ground‐based observations over East Asia, and the FY‐4A provides twice the number of the Himawari‐8 AOT retrievals. Validations with independent observations demonstrate the joint assimilation significantly improve the aerosol analysis and forecast skill over East Asia especially in South China, reducing the model biases of 70% and 40%. The aerosol model performances at 95% independent 61 ground‐based sites are more benefited from joint assimilation than single‐sensor assimilation. This demonstrates the high impact and innovative application of joint assimilation technique in the air quality modeling.
Potential Urban Barrier Effect to Alter Patterns of Cloud‐To‐Ground Lightning in Beijing Metropolis
Authors: Shi Tao , Yang Yuanjian , Zheng Zuofang , Tian Ye , Huang Yong , Lu Yanyu , Shi Chune , Liu Lei , Zi Yucheng , Wang Yongping , Wang Yu , Lu Gaopeng , Wang Gen
Published: October 2022

The urban barrier effect is one possible physical mechanism by which the urbanization alters the spatial distribution of cloud‐to‐ground (CG) lightning activity in a city. There is a gap in the preceding research on an urban barrier effect to alter patterns of CG lightning in Beijing, and the urban morphology does not receive enough attention as an important influencing factor. By combining lightning location data, ground meteorological data, and urban morphology datasets, we identify a possible urban barrier effect from the perspective of CG lightning in Beijing during 2010–2017. Analysis of one typical thunderstorm on 13 July 2017 revealed that the barrier effect might result in a bifurcation of low‐level airflow and splitting of the convergence line. A more important finding was the modulation of the barrier effect by the scale and density of the built‐up area, and the numerical simulation experiments further confirmed this potential association.
Hydraulic Conditions for Stick‐Slip Tremor Beneath an Alpine Glacier
Authors: Köpfli Manuela , Gräff Dominik , Lipovsky Bradley P. , Selvadurai Paul A. , Farinotti Daniel , Walter Fabian
Published: October 2022

Accumulating evidence suggests that glacier basal motion can produce seismogenic stick‐slip events caused by frictional resistance at the ice‐bed interface. Frequent and subsequent failure of multiple stick‐slip patches may constitute sliding tremor in seismic recordings. We show that during stick‐slip tremor at the base of an Alpine glacier, the released seismic moment increases by an order of magnitude. The tremor emerges during melt‐intensive days and is associated with water pressure peaks in a nearby subglacial channel. We propose an extended slider‐block model that explains the regular occurrence of stick‐slip tremor by coupling seismically sliding patches to surrounding aseismically sliding bed regions. The model predicts that the stick‐slip patches control the movement of their surrounding smoothly sliding bed regions via elastic coupling and stress transfer. Thus, tremor producing stick‐slip patches could affect large‐scale ice flow to a degree, which is underestimated in models, with implications on sea level rise projections.
The Role of Wave Breaking in the Development and Subseasonal Forecasts of the February 2021 Great Plains Cold Air Outbreak
Authors: Millin Oliver T. , Furtado Jason C.
Published: October 2022

The February 2021 cold air outbreak (CAO) was a high‐impact event in the South‐Central Plains of the United States. This study examines important precursors to the event that likely impacted its predictability in subseasonal forecasts. We use reanalysis to show that the CAO was facilitated by two distinct wave breaks—an East Siberian Sea anticyclonic wave break and a Labrador Sea cyclonic wave break. We also use European Center for Medium‐Range Weather Forecasts and National Center for Environmental Prediction subseasonal‐to‐seasonal models to investigate the impact of the wave breaks on the forecast skill of the event at a ∼2–3 weeks lead time. Ensemble members successfully simulating these features produce more negative temperature anomalies across the Great Plains, corresponding to better positioning of anomalous ridging. These results demonstrate that successfully simulating persistent anticyclones can improve central US extreme cold forecasts at long leads.
The Occurrence of Embedded Region 1 and 2 Currents Depends on Geomagnetic Activity Level
Authors: Liu J. , Higuchi T. , Lyons L. R. , Ohtani S. , Wu J. , Zou Y. , Angelopoulos V. , Wang C.‐P.
Published: October 2022

Embedded Region 1 and 2 field‐aligned currents (FACs), intense FAC layers of mesoscale latitudinal width near the interface between large‐scale Region 1 and Region 2 FACs, are related to dramatic phenomena in the ionosphere such as discrete arcs, inverted‐V precipitation, and dawnside auroral polarization streams. These relationships suggest that the embedded FACs are potentially important for understanding ionospheric heating and magnetosphere‐ionosphere (M‐I) coupling and instabilities. Previous case studies of embedded FACs have led to the speculation that they may result from enhanced M‐I convection during active times. To explore this idea further, we investigate statistically their occurrence rates under a variety of geomagnetic conditions with a large event list constructed from 17 years of Defense Meteorological Satellite Program observations. The identification procedure is fully automated and explicit. The statistical results indicate that embedded Region 1 and 2 FACs are common, and that they have a higher chance to occur when the level of geomagnetic activity is higher (given by various indices), supporting the idea that they result from enhanced M‐I convection.
Comparison of the Two Most Common Phenology Algorithms Imbedded in Land Surface Models
Authors: Chen Baozhang
Published: October 2022

A reasonable representation of plant phenology in land surface models (LSMs) is necessary to accurately simulate the momentum, heat, and mass interchanges between land and the atmosphere from ecosystem to global scales. Many process‐based phenology algorithms have been developed and coupled to LSMs to describe seasonal vegetation changes. The growing degree day (GDD) and the growing season index (GSI) algorithms are the two most well‐known algorithms used in LSMs for simulating phenophases. However, assessments of these two most commonly used phenology algorithms in LSMs are quite scarce. In this study, these two phenology algorithms were respectively coupled with the Community Land Model (CLM) and the Dynamic Land Model (DLM) to obtain four modeling scenarios. The simulation accuracy of phenophases and gross primary production (GPP) in the four scenarios was assessed against observations at the site scale, focusing on deciduous forests and grasses. The three main findings were as follows: (a) the difference in simulated phenological events between different LSMs coupled with the same phenological algorithm was small and less than 1 day, DLM performed better than CLM; (b) compared with the GSI algorithm and regardless of whether it was coupled with the DLM or CLM model, the GDD model performance was better for spring phenology and worse for autumn phenology; (c) GSI performance was better than GDD for GPP simulation over different vegetation function types across different bioclimatic zones: on average, the root mean square error and the index of agreement were about 8.0% higher and about 6.5% lower, respectively.
Basin-scale biogeography of Prochlorococcus and SAR11 ecotype replication
Authors: Larkin Alyse A , Hagstrom George I , Brock Melissa L , Garcia Nathan S , Martiny Adam C
Published: October 2022

Establishing links between microbial diversity and environmental processes requires resolving the high degree of functional variation among closely related lineages or ecotypes. Here, we implement and validate an improved metagenomic approach that estimates the spatial biogeography and environmental regulation of ecotype-specific replication patterns (RObs) across ocean regions. A total of 719 metagenomes were analyzed from meridional Bio-GO-SHIP sections in the Atlantic and Indian Ocean. Accounting for sequencing bias and anchoring replication estimates in genome structure were critical for identifying physiologically relevant biological signals. For example, ecotypes within the dominant marine cyanobacteria Prochlorococcus exhibited distinct diel cycles in RObs that peaked between 19:00–22:00. Additionally, both Prochlorococcus ecotypes and ecotypes within the highly abundant heterotroph Pelagibacter (SAR11) demonstrated systematic biogeographies in RObs that differed from spatial patterns in relative abundance. Finally, RObs was significantly regulated by nutrient stress and temperature, and explained by differences in the genomic potential for nutrient transport, energy production, cell wall structure, and replication. Our results suggest that our new approach to estimating replication is reflective of gross population growth. Moreover, this work reveals that the interaction between adaptation and environmental change drives systematic variability in replication patterns across ocean basins that is ecotype-specific, adding an activity-based dimension to our understanding of microbial niche space.
Epstein Barr virus-mediated transformation of B cells from XIAP-deficient patients leads to increased expression of the tumor suppressor CADM1
Authors: Engelmann Christine , Schuhmachers Patrick , Zdimerova Hana , Virdi Sanamjeet , Hauri-Hohl Mathias , Pachlopnik Schmid Jana , Grundhoff Adam , Marsh Rebecca A. , Wong Wendy Wei-Lynn , Münz Christian
Published: October 2022

X-linked lymphoproliferative disease (XLP) is either caused by loss of the SLAM-associated protein (SAP; XLP-1) or the X-linked inhibitor of apoptosis (XIAP; XLP-2). In both instances, infection with the oncogenic human Epstein Barr virus (EBV) leads to pathology, but EBV-associated lymphomas only emerge in XLP-1 patients. Therefore, we investigated the role of XIAP during B cell transformation by EBV. Using humanized mice, IAP inhibition in EBV-infected mice led to a loss of B cells and a tendency to lower viral titers and lymphomagenesis. Loss of memory B cells was also observed in four newly described patients with XIAP deficiency. EBV was able to transform their B cells into lymphoblastoid cell lines (LCLs) with similar growth characteristics to patient mothers’ LCLs in vitro and in vivo. Gene expression analysis revealed modest elevated lytic EBV gene transcription as well as the expression of the tumor suppressor cell adhesion molecule 1 (CADM1). CADM1 expression on EBV-infected B cells might therefore inhibit EBV-associated lymphomagenesis in patients and result in the absence of EBV-associated malignancies in XLP-2 patients.
DDX17 promotes the growth and metastasis of lung adenocarcinoma
Authors: Liu Xiaohui , Li Lu , Geng Chengjie , Wen Shiyuan , Zhang Cuiqiong , Deng Chunmiao , Gao Xuejuan , Zhang Gong , He Qing-yu , Liu Langxia
Published: October 2022

DEAD box RNA helicase 17 (DDX17) has been shown to be an RNA binding protein involved in RNA metabolism and associated with cancer progression. However, the biological role of DDX17 in the pathogenesis of lung adenocarcinoma (LUAD) has not been well characterized. Here, we demonstrated that DDX17 promoted the proliferation, migration and invasion of H1299 and A549 lung adenocarcinoma cells. Analyses of public datasets showed that DDX17 is upregulated in LUAD specimens. Our tumor xenograft models confirmed the in vivo promoting role of DDX17 in the growth and metastasis of LUAD. Mechanistic analyses further revealed that DDX17 protein interacts with the mRNA of MYL9 and MAGEA6 and upregulates their levels. MYL9 could mediate the function of DDX17 to regulate the actin cytoskeleton rearrangement and cell adhesion, particularly by modulating the stress fiber and focal adhesion formation, whereas DDX17 might inhibit the autophagy process through MAGEA6/AMPKα1 axis in LUAD cells. Collectively, our study revealed the oncogenic role and pathways of DDX17 in LUAD.
PD-L1-directed PlGF/VEGF blockade synergizes with chemotherapy by targeting CD141+ cancer-associated fibroblasts in pancreatic cancer
Authors: Kim Duk Ki , Jeong Juhee , Lee Dong Sun , Hyeon Do Young , Park Geon Woo , Jeon Suwan , Lee Kyung Bun , Jang Jin-Young , Hwang Daehee , Kim Ho Min , Jung Keehoon
Published: October 2022

Pancreatic ductal adenocarcinoma (PDAC) has a poor 5-year overall survival rate. Patients with PDAC display limited benefits after undergoing chemotherapy or immunotherapy modalities. Herein, we reveal that chemotherapy upregulates placental growth factor (PlGF), which directly activates cancer-associated fibroblasts (CAFs) to induce fibrosis-associated collagen deposition in PDAC. Patients with poor prognosis have high PIGF/VEGF expression and an increased number of PIGF/VEGF receptor-expressing CAFs, associated with enhanced collagen deposition. We also develop a multi-paratopic VEGF decoy receptor (Ate-Grab) by fusing the single-chain Fv of atezolizumab (anti-PD-L1) to VEGF-Grab to target PD-L1-expressing CAFs. Ate-Grab exerts anti-tumor and anti-fibrotic effects in PDAC models via the PD-L1-directed PlGF/VEGF blockade. Furthermore, Ate-Grab synergizes with gemcitabine by relieving desmoplasia. Single-cell RNA sequencing identifies that a CD141+CAF population is reduced upon Ate-Grab and gemcitabine combination treatment. Overall, our results elucidate the mechanism underlying chemotherapy-induced fibrosis in PDAC and highlight a combinatorial therapeutic strategy for desmoplastic cancers.
Divergent regioselective Heck-type reaction of unactivated alkenes and N-fluoro-sulfonamides
Authors: Zhao Chunyang , Li Yang , Dong Yujiao , Li Miao , Xia Dan , Gao Shuangqiu , Zhang Qian , Liu Qun , Guan Wei , Fu Junkai
Published: October 2022

The control of regioselectivity in Heck-type reaction of unactivated alkenes represents a longstanding challenge due to several detachable hydrogens in β–H elimination step, which generally afford either one specific regioisomer or a mixture. Herein, a copper-catalyzed intermolecular Heck-type reaction of unactivated alkenes andN-fluoro-sulfonamides with divergent regioselectivities is reported. The complete switch of regioselectivity mainly depends on the choice of different additives. Employment of alcohol solvent gives access to vinyl products, while the addition of carboxylate leads to the formation of allylic products. In addition, exclusion of these two promoting factors results in β-lactams via a C–N reductive elimination. This protocol shows a broad substrate scope for both alkenes and structurally diverseN-fluoro-sulfonamides, producing the corresponding products with excellent regio- and stereoselectivities. Further control experiments and DFT calculations provide in-depth insights into the reaction mechanism, highlighting the distinct effect of the additives on a bidentate auxiliary-stabilized Cu(III) intermediate.
Reward salience but not spatial attention dominates the value representation in the orbitofrontal cortex
Authors: Zhang Wenyi , Xie Yang , Yang Tianming
Published: October 2022

The orbitofrontal cortex (OFC) encodes value and plays a key role in value-based decision-making. However, the attentional modulation of the OFC’s value encoding is poorly understood. We trained two monkeys to detect a luminance change at a cued location between a pair of visual stimuli, which were over-trained pictures associated with different amounts of juice reward and, thus, different reward salience. Both the monkeys’ behavior and the dorsolateral prefrontal cortex neuronal activities indicated that the monkeys actively directed their spatial attention toward the cued stimulus during the task. However, the OFC’s neuronal responses were dominated by the stimulus with higher reward salience and encoded its value. The value of the less salient stimulus was only weakly represented regardless of spatial attention. The results demonstrate that reward and spatial attention are distinctly represented in the prefrontal cortex and the OFC maintains a stable representation of reward salience minimally affected by attention.
REDD1 promotes obesity-induced metabolic dysfunction via atypical NF-κB activation
Authors: Lee Dong-Keon , Kim Taesam , Byeon Junyoung , Park Minsik , Kim Suji , Kim Joohwan , Choi Seunghwan , Lee Gihwan , Park Chanin , Lee Keun Woo , Kwon Yong Jung , Lee Jeong-Hyung , Kwon Young-Guen , Kim Young-Myeong
Published: October 2022

Regulated in development and DNA damage response 1 (REDD1) expression is upregulated in response to metabolic imbalance and obesity. However, its role in obesity-associated complications is unclear. Here, we demonstrate that the REDD1–NF-κB axis is crucial for metabolic inflammation and dysregulation. Mice lacking Redd1 in the whole body or adipocytes exhibited restrained diet-induced obesity, inflammation, insulin resistance, and hepatic steatosis. Myeloid Redd1-deficient mice showed similar results, without restrained obesity and hepatic steatosis. Redd1-deficient adipose-derived stem cells lost their potential to differentiate into adipocytes; however, REDD1 overexpression stimulated preadipocyte differentiation and proinflammatory cytokine expression through atypical IKK-independent NF-κB activation by sequestering IκBα from the NF-κB/IκBα complex. REDD1 with mutated Lys219/220Ala, key amino acid residues for IκBα binding, could not stimulate NF-κB activation, adipogenesis, and inflammation in vitro and prevented obesity-related phenotypes in knock-in mice. The REDD1-atypical NF-κB activation axis is a therapeutic target for obesity, meta-inflammation, and metabolic complications.
Speed and accuracy instructions affect two aspects of skill learning differently
Authors: Vékony Teodóra , Pleche Claire , Pesthy Orsolya , Janacsek Karolina , Nemeth Dezso
Published: October 2022

Procedural learning is key to optimal skill learning and is essential for functioning in everyday life. The findings of previous studies are contradictory regarding whether procedural learning can be modified by prioritizing speed or accuracy during learning. The conflicting results may be due to the fact that procedural learning is a multifaceted cognitive function. The purpose of our study is to determine whether and how speed and accuracy instructions affect two aspects of procedural learning: the learning of probability-based and serial-order-based regularities. Two groups of healthy individuals were instructed to practice on a cued probabilistic sequence learning task: one group focused on being fast and the other on being accurate during the learning phase. The speed instruction resulted in enhanced expression of probability-based but not serial-order-based knowledge. After a retention period, we instructed the participants to focus on speed and accuracy equally, and we tested their acquired knowledge. The acquired knowledge was comparable between groups in both types of learning. These findings suggest that different aspects of procedural learning can be affected differently by instructions. However, only momentary performance might be boosted by speed instruction; the acquired knowledge remains intact. In addition, as the accuracy instruction resulted in accuracy near ceiling level, the results illustrate that response errors are not needed for humans to learn in the procedural domain and draw attention to the fact that different instructions can separate competence from performance.
High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin
Authors: Hamilton Stuart E. , McGehee David D. , Nyamweya Chrispine , Ongore Collins , Makori Amina , Mangeni-Sande Richard , Kagoya Esther , Kashindye Benedicto B. , Elison Mboni , Shaban Sophia S. , Mlaponi Enock , Mwainge Venny M. , Ocaya Henry , Krach Noah , Ogari Zachary , Mugeni Bairon , Taabu-Munyaho Anthony , Kayanda Robert , Muhumuza Elias , Natugonza Vianny
Published: October 2022

HRBS-GLWNB 2020 presents the first open-source and high-resolution bathymetry, shoreline, and water level data for Lakes Victoria, Albert, Edward, and George in East Africa. For each Lake, these data have three primary products collected for this project. The bathymetric datasets were created from approximately 18 million acoustic soundings. Over 8,200 km of shorelines are delineated across the three lakes from high-resolution satellite systems and uncrewed aerial vehicles. Finally, these data are tied together by creating lake surface elevation models collected from GPS and altimeter measures. The data repository includes additional derived products, including surface areas, water volumes, shoreline lengths, lake elevation levels, and geodetic information. These data can be used to make allocation decisions regarding the freshwater resources within Africa, manage food resources on which many tens of millions of people rely, and help preserve the region’s endemic biodiversity. Finally, as these data are tied to globally consistent geodetic models, they can be used in future global and regional climate change models.
Effects of heat stress on 16S rDNA, metagenome and metabolome in Holstein cows at different growth stages
Authors: Feng Lei , Zhang Yu , Liu Wei , Du Dewei , Jiang Wenbo , Wang Zihua , Wang Zhonghua , Hu Zhiyong
Published: October 2022

Heat stress is an important issue in dairy cattle feeding management affecting summer health and economic efficiency. This experiment combined 16S rDNA sequencing(3,864,982 tags, 30 sequencing data), metagenomic sequencing(1,269,441,128 reads, 18 sequencing data), metabolomics analysis(72 sequencing data) and blood index analysis. Ten cows in each animal type (growing heifers, heifers, and lactating cows) were selected for sample collection in April and August. Here, we characterized both the changes in metabolites, rumen microbial communities and their functional potential and the effects of heat stress on serum biochemical, immune, oxidative stress, and hormonal indices derived from rumen fluid and serum samples from cows during different growth stages and in different climates. The generated data expand the resources for the rumen microbiome related to heat stress and age and provide useful datasets for research on developing therapeutic strategies to achieve high summer milk production in cows. These datasets will help researchers study the effects of heat stress on the physiological metabolism of Holstein cows and the time-dependent changes associated with growth stages.
Sub-terahertz silicon-based on-chip absorption spectroscopy using thin-film model for biological applications
Authors: Hosseini Farahabadi Seyed Ali , Entezami Milad , Abouali Hesam , Amarloo Hadi , Poudineh Mahla , Safavi-Naeini Safieddin
Published: October 2022

Spectroscopy in the sub-terahertz (sub-THz) range of frequencies has been utilized to study the picosecond dynamics and interaction of biomolecules. However, widely used free-space THz spectrometers are typically limited in their functionality due to low signal-to-noise ratio and complex setup. On-chip spectrometers can revolutionize THz spectroscopy allowing integration, compactness, and low-cost fabrication. In this paper, a low-loss silicon-based platform is proposed for on-chip sub-THz spectroscopy. Through functionalization of silicon chip and immobilization of bio-particles, we demonstrate the ability to characterize low-loss nano-scale biomolecules across the G-band (0.14–0.22 THz). We also introduce an electromagnetic thin-film model to account for the loading effect of the immobilized biomolecules, i.e. dehydrated streptavidin and immunoglobulin antibody, as two key molecules in the biosensing discipline. The proposed platform was fabricated using a single mask micro-fabrication process, and then measured by a vector network analyzer (VNA), which offers high dynamic range and high spectral resolution measurements. The proposed planar platform is general and paves the way towards low-loss, cost-effective and integrated sub-THz biosensors for the detection and characterization of biomolecules.
In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis
Authors: Brankin Alice , Seifert Marva , Georghiou Sophia B. , Walker Timothy M. , Uplekar Swapna , Suresh Anita , Colman Rebecca E.
Published: October 2022

Universal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of drug resistance. These endorsed assays, however, each interrogate a limited number of mutations associated with resistance, potentially limiting their sensitivity compared to sequencing-based methods. We applied an in silico method to compare the sensitivity and specificity of WHO-endorsed molecular based diagnostics to the mutation set identified by the WHO mutations catalogue using phenotypic DST as the reference. We found that, in silico, the mutation sets used by probe-based molecular diagnostic tests to identify rifampicin, isoniazid, pyrazinamide, levofloxacin, moxifloxacin, amikacin, capreomycin and kanamycin resistance produced similar sensitivities and specificities to the WHO mutation catalogue. PCR-based diagnostic tests were most sensitive for drugs where mechanisms of resistance are well established and localised to small genetic regions or a few prevalent mutations. Approaches using sequencing technologies can provide advantages for drugs where our knowledge of resistance is limited, or where complex resistance signatures exist.
Alarming antibiotics resistance of Helicobacter pylori from children in Southeast China over 6 years
Authors: Shu Xiaoli , Ye Diya , Hu Chenmin , Peng Kerong , Zhao Hong , Li Huamei , Jiang Mizu
Published: October 2022

The increasing rates of antibiotic resistance in Helicobacter pylori (H. pylori) are a major concern of the decreasing eradication rate. Large-scale and long-period studies on antimicrobial susceptibility of H. pylori in children are limited. This study aimed to describe the temporal changes of antibiotic resistance among children in southeast China. Gastric biopsies obtained from children were cultured for H. pylori from 2015 to 2020. Susceptibility to clarithromycin (CLA), amoxicillin (AML), metronidazole (MTZ), furazolidone (FZD), tetracycline (TET) and levofloxacin (LEV) was tested. Data from 2012 to 2014 reported previously were obtained for comparing the change in temporal trends of antibiotic resistance. A total of 1638 (52.7%) H. pylori strains were isolated from 3111 children recruited. The resistance rates to CLA, MTZ and LEV were 32.8%, 81.7% and 22.8%, respectively. There were 52.9% strains resistant to single resistance, 28.7% to double resistance, and 9.0% to triple resistance. The total resistance rate and resistance rates to CLA, MTZ, LEV, CLA + LEV and CLA + MTZ + LEV increased annually in a linear manner. All resistant patterns except single resistance increased obviously from 2015 to 2017 and 2018 to 2020 compared to that from 2012 to 2014. Double resistance to CLA + MTZ increased significantly with age. The resistance rate to CLA and triple resistance to CLA, MTZ and LEV increased in children with prior H. pylori treatment than that from children without prior treatment. The antibiotic resistance rates of H. pylori were high in a large pediatric population in southeast China from 2015 to 2020. Individual treatment based on susceptibility test is imperative and optimal regimens should be chosen in H. pylori eradication therapy.
CircRNA expression profiles of breast cancer and construction of a circRNA-miRNA-mRNA network
Authors: Xu Liping , Lyu Mengmeng , Yang Sujin , Zhang Jian , Yu Dandan
Published: October 2022

CircRNAs are a group of endogenous small noncoding RNAs that are involved in multiple diseases including cancers. At present, the functions of circRNAs in breast cancer need to be further explored. In this study, 3 pairs of breast cancer and paracancer tissues with axillary lymph node metastasis were collected for circRNA high-throughput sequencing. We have identified 17,966 distinct circRNA candidates. Significant differential expressions were found in 136 circRNAs in breast cancer tissues relative to the matched paracancer tissues. We aslo identified differentially expressed 156 miRNAs and 1105 mRNAs in breast cancer tissues and normal breast tissues from public databases. Then we constructed a regulatory ceRNA network. 12 mRNAs were associated with prognosis of breast cancer. We also constructed a circRNAs-mediated subnetwork which might be related to prognosis of breast cancer. This article provides a better understanding of circRNAs-mediated ceRNA regulatory network by which circRNAs compete for endogenous RNAs in breast cancer.
Addition Pinus massoniana fallen wood improved the growth of Plagiomnium acutum in a substrate cultivation
Authors: Shi Bingyang , Wang Xiurong , Yang Shuoyuan , Chen Hongmei , Zhao Yang
Published: October 2022

Soilless culture has been widely used in horticultural plant production, but little research has been done on bryophyte. In this study, we selected a cultivation substrate mixed and proportioned with garden soil, granular soil, grass charcoal soil, general-purpose nutrient soil, and decomposed grade II, III, and IV fallen wood of Pinus massoniana as the raw materials of soilless substrate to investigate its effects on the growth and physiology of Plagiomnium acutum. The results showed that the total porosity, water-holding porosity, and water-holding capacity of the mixed substrate containing fallen wood of P. massoniana were significantly higher than those of other cultivated substrates. The average cover of the P. acutum was significantly and positively correlated with the substrate’s total porosity and water-holding porosity. Chlorophyll content was highly significantly and positively correlated with the water holding capacity and total nitrogen content of the substrate. Among them, VIII decomposition grade Pinus massoniana fallen log:Vgrass charcoal soil = 1:1 (SW8) substrate had the highest overall evaluation index and the best overall growth condition of P. acutum. In summary, VIII decomposition grade Pinus massoniana fallen log:Vgrass charcoal soil = 1:1 (SW8) substrate can be the best substrate for cultivation of P. acutum. The addition of P. massoniana fallen wood to the soil substrate increased the total porosity, water-holding porosity, and water-holding capacity of the substrate, which was conducive to the growth of P. acutum and the increase of chlorophyll content.
Evidence of visual crossmodal reorganization positively relates to speech outcomes in cochlear implant users
Authors: Paul Brandon T. , Bajin Münir Demir , Uzelac Mila , Chen Joseph , Le Trung , Lin Vincent , Dimitrijevic Andrew
Published: October 2022

Deaf individuals who use a cochlear implant (CI) have remarkably different outcomes for auditory speech communication ability. One factor assumed to affect CI outcomes is visual crossmodal plasticity in auditory cortex, where deprived auditory regions begin to support non-auditory functions such as vision. Previous research has viewed crossmodal plasticity as harmful for speech outcomes for CI users if it interferes with sound processing, while others have demonstrated that plasticity related to visual language may be beneficial for speech recovery. To clarify, we used electroencephalography (EEG) to measure brain responses to a partial face speaking a silent single-syllable word (visual language) in 15 CI users and 13 age-matched typical-hearing controls. We used source analysis on EEG activity to measure crossmodal visual responses in auditory cortex and then compared them to CI users’ speech-in-noise listening ability. CI users’ brain response to the onset of the video stimulus (face) was larger than controls in left auditory cortex, consistent with crossmodal activation after deafness. CI users also produced a mixture of alpha (8–12 Hz) synchronization and desynchronization in auditory cortex while watching lip movement while controls instead showed desynchronization. CI users with higher speech scores had stronger crossmodal responses in auditory cortex to the onset of the video, but those with lower speech scores had increases in alpha power during lip movement in auditory areas. Therefore, evidence of crossmodal reorganization in CI users does not necessarily predict poor speech outcomes, and differences in crossmodal activation during lip reading may instead relate to strategies or differences that CI users use in audiovisual speech communication.
Environmental RNA as a Tool for Marine Community Biodiversity Assessments
Authors: Giroux Marissa S. , Reichman Jay R. , Langknecht Troy , Burgess Robert M. , Ho Kay T.
Published: October 2022

Microscopic organisms are often overlooked in traditional diversity assessments due to the difficulty of identifying them based on morphology. Metabarcoding is a method for rapidly identifying organisms where Environmental DNA (eDNA) is used as a template. However, legacy DNA is problematically detected from organisms no longer in the environment during sampling. Environmental RNA (eRNA), which is only produced by living organisms, can also be collected from environmental samples and used for metabarcoding. The aim of this study was to determine differences in community composition and diversity between eRNA and eDNA templates for metabarcoding. Using mesocosms containing field-collected communities from an estuary, RNA and DNA were co-extracted from sediment, libraries were prepared for two loci (18S and COI), and sequenced using an Illumina MiSeq. Results show a higher number of unique sequences detected from eRNA in both markers and higher α-diversity compared to eDNA. Significant differences between eRNA and eDNA for all β-diversity metrics were also detected. This study is the first to demonstrate community differences detected with eRNA compared to eDNA from an estuarine system and illustrates the broad applications of eRNA as a tool for assessing benthic community diversity, particularly for environmental conservation and management applications.
Epithelial–mesenchymal transition inhibition by metformin reduces melanoma lung metastasis in a murine model
Authors: Veloso Emerson Soares , de Carvalho Bárbara Andrade , de Souza Silva Felipe Henrique , Ribeiro Thaís Salviana , Lima Bruna Mendes , Almeida Camila Pereira , da Silva Vítor Henrique Soares Romão , Rocha Sara Aparecida , de Araújo Campos Marina Rios , Del Puerto Helen Lima , Ferreira Enio
Published: October 2022

Melanoma is an aggressive cancer with fast metastatic spread and reduced survival time. One common event during the neoplastic progression is the epithelial–mesenchymal transition (EMT), which enhances invasiveness, cell migration, and metastasis. In this study, we investigated the effects of metformin at EMT in melanoma cell lines B16-F10 and A-375, in vitro, and the impact of EMT downregulation on melanoma progression in vivo. The metformin cells treatment reduces the migration potential in vitro and reduced the development of pulmonary metastases and the expressions of N-cadherin, vimentin, ZEB1, and ZEB2 at the metastases site, in vivo. These results indicate that metformin can promote EMT downregulation impairing the metastatic potential of melanoma cells.
Hunting and persecution drive mammal declines in Iran
Authors: Yusefi Gholam Hosein , Brito José Carlos , Soofi Mahmood , Safi Kamran
Published: October 2022

The negative impacts of human activities on biodiversity are well documented. However, extinction risk studies incorporating direct human threats particularly direct killing remain limited. Here, we evaluate the potential role that direct killing through hunting and persecution, indirect human threats via land-use change, and environmental and species traits such as reproductive rate and trophic level among others, may play in driving mammal species to extinction. Based on data for 156 mammal species from Iran, we applied generalized linear models to investigate correlates of extinction risk for: (1) all mammalian species, (2) large- and (3) small-bodied species. We show that hunting vulnerability is the most important predictor to affect extinction risk across all species. We also found that the small-bodied species are impacted by indirect human influence, whereas large species are highly affected by direct killing. Overall, the extrinsic environmental factors and intrinsic species traits had lower importance in our models. Our study gives insight into the dominant role of direct killing on mammal species decline and extinction, emphasizing the need to account for the different sources of threats when analysing the correlates of extinction risk.
Effects of plastic fragments on plant performance are mediated by soil properties and drought
Authors: Krehl Anne , Schöllkopf Undine , Májeková Maria , Tielbörger Katja , Tomiolo Sara
Published: October 2022

In recent years, the effects of plastic contamination on soil and plants have received growing attention. Plastic can affect soil water content and thus may interact with the effects of drought on soil and plants. However, the effects of plastic on soil are highly context-dependent, and interactions with drought have been hardly tested. We conducted two greenhouse experiments to test the combined effects of plastic fragments (of varying size and concentration), water availability and soil texture, on soil water content and performance of the plantArabidopsis thaliana. Plastic fragments had stronger negative effects on soil water content in low water availability, and the shape of this response (linear vs. unimodal) was mediated by soil texture. Conversely, increasing concentration of plastic had positive effects on plant growth. We suggest that plastic fragments introduce fracture points within soil aggregates. This increases number and size of soil pores favoring water loss but also facilitating root growth. Our results suggest complex interactive effects of plastic and drought, that may lead to a decoupling of plant and soil response. These processes should be taken into account in ecological studies and agricultural practices.