bluuebunny/crossref_metadata_2025_split huggingface dataset:
Over a decade of atmospheric mercury monitoring at Amsterdam Island in the French Southern and Antarctic Lands
Authors: Magand Olivier , Angot Hélène , Bertrand Yann , Sonke Jeroen E. , Laffont Laure , Duperray Solène , Collignon Léa , Boulanger Damien , Dommergue Aurélien 
Published: November 2023

AbstractThe Minamata Convention, a global and legally binding treaty that entered into force in 2017, aims to protect human health and the environment from harmful mercury (Hg) effects by reducing anthropogenic Hg emissions and environmental levels. The Conference of the Parties is to periodically evaluate the Convention’s effectiveness, starting in 2023, using existing monitoring data and observed trends. Monitoring atmospheric Hg levels has been proposed as a key indicator. However, data gaps exist, especially in the Southern Hemisphere. Here, we present over a decade of atmospheric Hg monitoring data at Amsterdam Island (37.80°S, 77.55°E), in the remote southern Indian Ocean. Datasets include gaseous elemental and oxidised Hg species ambient air concentrations from either active/continuous or passive/discrete acquisition methods, and annual total Hg wet deposition fluxes. These datasets are made available to the community to support policy-making and further scientific advancements.
TM2D3, a mammalian homologue of Drosophila neurogenic gene product Almondex, regulates surface presentation of Notch receptors
Authors: Masuda Wataru , Yamakawa Tomoko , Ajima Rieko , Miyake Katsuya , Umemiya Toshifumi , Azuma Kazuhiko , Tamaru Jun-ichi , Kiso Makoto , Das Puspa , Saga Yumiko , Matsuno Kenji , Kitagawa Motoo 
Published: November 2023

AbstractNotch signaling is an evolutionarily conserved mechanism required for numerous types of cell fate decisions in metazoans. It mediates short-range communication between cells with receptors and ligands, both of which are expressed on the cell surfaces. In response to the ligand-receptor interaction, the ligand and the extracellular domain of the Notch receptor (NECD) in the complex are internalized into ligand-expressing cells by endocytosis, a prerequisite process for the conformational change of the membrane proximal region of Notch to induce critical proteolytic cleavages for its activation. Here we report that overexpression of transmembrane 2 (TM2) domain containing 3 (TM2D3), a mammalian homologue of Drosophila melanogaster Almondex (Amx), activates Notch1. This activation requires the ligand-binding domain in Notch1 and the C-terminal region containing TM2 domain in TM2D3. TM2D3 physically associates with Notch1 at the region distinct from the ligand-binding domain and enhances expression of Notch1 on the cell surface. Furthermore, cell surface expression of Notch1 and Notch2 is reduced in Tm2d3-deficient cells. Finally, amx-deficient Drosophila early embryos exhibit impaired endocytosis of NECD and Delta ligand, for which surface presentation of Notch is required. These results indicate that TM2D3 is an element involved in Notch signaling through the surface presentation.
Evaluation of the efficacy of cystinosin supplementation through CTNS mRNA delivery in experimental models for cystinosis
Authors: Bondue Tjessa , Berlingerio Sante Princiero , Siegerist Florian , Sendino-Garví Elena , Schindler Maximilian , Baelde Hans Jacobus , Cairoli Sara , Goffredo Bianca Maria , Arcolino Fanny Oliveira , Dieker Jürgen , Janssen Manoe Jacoba , Endlich Nicole , Brock Roland , Gijsbers Rik , van den Heuvel Lambertus , Levtchenko Elena 
Published: November 2023

AbstractMessenger RNA (mRNA) therapies are emerging in different disease areas, but have not yet reached the kidney field. Our aim was to study the feasibility to treat the genetic defect in cystinosis using synthetic mRNA in cell models and ctns−/− zebrafish embryos. Cystinosis is a prototype lysosomal storage disorder caused by mutations in the CTNS gene, encoding the lysosomal cystine-H+ symporter cystinosin, and leading to cystine accumulation in all cells of the body. The kidneys are the first and the most severely affected organs, presenting glomerular and proximal tubular dysfunction, progressing to end-stage kidney failure. The current therapeutic standard cysteamine, reduces cystine levels, but has many side effects and does not restore kidney function. Here, we show that synthetic mRNA can restore lysosomal cystinosin expression following lipofection into CTNS−/− kidney cells and injection into ctns−/− zebrafish. A single CTNS mRNA administration decreases cellular cystine accumulation for up to 14 days in vitro. In the ctns−/− zebrafish, CTNS mRNA therapy improves proximal tubular reabsorption, reduces proteinuria, and restores brush border expression of the multi-ligand receptor megalin. Therefore, this proof-of-principle study takes the first steps in establishing an mRNA-based therapy to restore cystinosin expression, resulting in cystine reduction in vitro and in the ctns−/− larvae, and restoration of the zebrafish pronephros function.
Accurate evaluation of the progress of delivery with transperineal ultrasound may improve vaginal delivery: a single-center retrospective study
Authors: Enomoto Naosuke , Maki Shintaro , Nii Masafumi , Yamaguchi Mizuki , Tamaishi Yuya , Takakura Sho , Magawa Shoichi , Tanaka Kayo , Tanaka Hiroaki , Kondo Eiji , Katsuragi Shinji , Ikeda Tomoaki 
Published: November 2023

AbstractAlthough digital examination of the cervix is the standard method used worldwide for evaluating the progress of delivery, it is subjective. Transperineal ultrasound (TPU) is combined with digital evaluation for accurate assessment of fetal descent and rotation of the advanced part of the fetus. This retrospective study aimed to clarify the impact of introducing TPU on perinatal outcomes at Mie University Hospital. We analyzed singleton pregnant women who underwent delivery management at our hospital between April 2020 and March 2021. Perinatal outcomes were compared between patients who used TPU (TPU+ group) and those who did not (TPU− group). The angle of progression and head direction were measured. The rate of vaginal delivery was significantly increased (90.9% vs. 71.6%; P = 0.0017), and the second stage of labor was significantly prolonged in the TPU+ group (148.1 vs. 75.8 min; P < 0.0001). A significant difference was observed in termination in the latent phase between the TPU+ group [3/8 (37.5%) cases] and TPU− group [20/25 (80.0%) cases] (P = 0.036). The rate of vaginal delivery can be increased through accurate evaluation of the progress of delivery with TPU.
3D vs. 2D simulated fetoscopy for spina bifida repair: a quantitative motion analysis
Authors: Ahmad Mirza Awais , Weiler Yolan , Joyeux Luc , Eixarch Elisenda , Vercauteren Tom , Ourselin Sebastien , Deprest Jan , Vander Poorten Emmanuel 
Published: November 2023

Abstract3D imaging technology is becoming more prominent every day. However, more validation is needed to understand the actual benefit of 3D versus conventional 2D vision. This work quantitatively investigates whether experts benefit from 3D vision during minimally invasive fetoscopic spina bifida (fSB) repair. A superiority study was designed involving one expert team ($$>18$$

>
18

procedures prior) who performed six 2D and six 3D fSB repair simulations in a high-fidelity animal training model, using 3-port access. The 6D motion of the instruments was recorded. Among the motion metrics are total path length, smoothness, maximum speed, the modified Spectral Arc Length (SPARC), and Log Dimensionless Jerk (LDLJ). The primary clinical outcome is operation time (power 90%, 5% significance) using Sealed Envelope Ltd. 2012. Secondary clinical outcomes are water tightness of the repair, CO$$_2$$

2

insufflation volume, and OSATS score. Findings show that total path length and LDLJ are considerably different. Operation time during 3D vision was found to be significantly shorter compared to 2D vision ($$113\pm 9$$

113
±
9

vs. $$149\pm 19$$

149
±
19

min; p $$=$$
=
0.026). These results suggest enhanced performance with 3D vision during interrupted suturing in fetoscopic SBA repair. To confirm these results, a larger-scale follow-up study involving multiple experts and novice surgeons is recommended.
Predicting stereotactic radiosurgery outcomes with multi-observer qualitative appearance labelling versus MRI radiomics
Authors: DeVries David A. , Tang Terence , Albweady Ali , Leung Andrew , Laba Joanna , Johnson Carol , Lagerwaard Frank , Zindler Jaap , Hajdok George , Ward Aaron D. 
Published: November 2023

AbstractQualitative observer-based and quantitative radiomics-based analyses of T1w contrast-enhanced magnetic resonance imaging (T1w-CE MRI) have both been shown to predict the outcomes of brain metastasis (BM) stereotactic radiosurgery (SRS). Comparison of these methods and interpretation of radiomics-based machine learning (ML) models remains limited. To address this need, we collected a dataset of n = 123 BMs from 99 patients including 12 clinical features, 107 pre-treatment T1w-CE MRI radiomic features, and BM post-SRS progression scores. A previously published outcome model using SRS dose prescription and five-way BM qualitative appearance scoring was evaluated. We found high qualitative scoring interobserver variability across five observers that negatively impacted the model’s risk stratification. Radiomics-based ML models trained to replicate the qualitative scoring did so with high accuracy (bootstrap-corrected AUC = 0.84–0.94), but risk stratification using these replicated qualitative scores remained poor. Radiomics-based ML models trained to directly predict post-SRS progression offered enhanced risk stratification (Kaplan–Meier rank-sum p = 0.0003) compared to using qualitative appearance. The qualitative appearance scoring enabled interpretation of the progression radiomics-based ML model, with necrotic BMs and a subset of heterogeneous BMs predicted as being at high-risk of post-SRS progression, in agreement with current radiobiological understanding. Our study’s results show that while radiomics-based SRS outcome models out-perform qualitative appearance analysis, qualitative appearance still provides critical insight into ML model operation.
Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm
Authors: Wenjun Bai , Yingjie Chang 
Published: November 2023

AbstractMonitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The current study proposes a blasting vibration denoising method based on CEEMDAN-ICA to alleviate the noise component in the blasting signals effectively. The collected signal is first decomposed through the CEMMDAN algorithm to extract the IMF components of different frequency bands. Next, the collected signal is estimated using the ICA algorithm to attain corresponding ICA components. Finally, the arrangement entropy of the ICA components is calculated for signal reconstruction to attain a small noise blasting vibration signal. Simulations are performed to evaluate the feasibility of the presented algorithm and compare its efficiency with the traditional algorithms. The results demonstrate that this algorithm has specific advantages over other algorithms, which can more accurately denoise the original signal and retain the effective signals, providing a new denoising method for subsequent signal analysis.
Fresh aquaculture sludge management with black soldier fly (Hermetia illucens L.) larvae: investigation on bioconversion performances
Authors: Rossi Giacomo , Ojha Shikha , Müller-Belecke Andreas , Schlüter Oliver K. 
Published: November 2023

AbstractAquaculture solid waste (ASW) is a nutrient rich material that can pose a significant environment challenge if not properly managed. This study investigated the potential of black soldier fly (BSF) larvae in converting this waste into biomass. Five substrates comprising chicken feed supplemented with varying proportions of fresh ASW (0%, 25%, 50%, 75%, 100%) were formulated and evaluated for larval growth and waste bioconversion efficiency. High nutrients retention (N: 23.25 ± 1.40%; C: 21.94 ± 0.99%; S: 12.20 ± 1.33%) and feed conversion ratio (1.78 ± 0.08) were detected on substrate 100ASW, although the limited feeding rate (114.54 ± 5.38 mg dry substrate/larvae) and the high amount of indigestible fibres (ADF = 15.87 ± 0.24%; ADL = 6.36 ± 0.17%) were translated to low larval growth (final larval average weight: 66.17 ± 1.81 mg). Decreasing ASW content resulted in reduced fibres and ash, increase in non-fibrous carbohydrates and C/N ratio, and improved larval growth and substrate utilization. However, high larval metabolic activity suggested higher nutrients loss to the environment. Substrate 75ASW demonstrated the best performances in terms of larval production (final larval average weight: 176.30 ± 12.12 mg), waste reduction (substrate reduction corrected by percentage of ASW: 26.76 ± 0.86%) and nutrients assimilation (N: 22.14 ± 1.14%; C: 15.29 ± 0.82%; S: 15.40 ± 0.99%). This substrate closely aligned with optimal BSF rearing substrates reported in literature. Overall, this study highlights the potential of BSF larvae in managing fresh ASW, offering a dual benefit of waste reduction and insect biomass production.
A multiscale accuracy assessment of moisture content predictions using time-lapse electrical resistivity tomography in mine tailings
Authors: Dimech Adrien , Isabelle Anne , Sylvain Karine , Liu Chong , Cheng LiZhen , Bussière Bruno , Chouteau Michel , Fabien-Ouellet Gabriel , Bérubé Charles , Wilkinson Paul , Meldrum Philip , Chambers Jonathan 
Published: November 2023

AbstractAccurate and large-scale assessment of volumetric water content (VWC) plays a critical role in mining waste monitoring to mitigate potential geotechnical and environmental risks. In recent years, time-lapse electrical resistivity tomography (TL-ERT) has emerged as a promising monitoring approach that can be used in combination with traditional invasive and point-measurements techniques to estimate VWC in mine tailings. Moreover, the bulk electrical conductivity (EC) imaged using TL-ERT can be converted into VWC in the field using petrophysical relationships calibrated in the laboratory. This study is the first to assess the scale effect on the accuracy of ERT-predicted VWC in tailings. Simultaneous and co-located monitoring of bulk EC and VWC are carried out in tailings at five different scales, in the laboratory and in the field. The hydrogeophysical datasets are used to calibrate a petrophysical model used to predict VWC from TL-ERT data. Overall, the accuracy of ERT-predicted VWC is$$\pm 0.03~\textrm{m}^3/\textrm{m}^3$$±0.03m3/m3, and the petrophysical models determined at sample-scale in the laboratory remain valid at larger scales. Notably, the impact of temperature and pore water EC evolution plays a major role in VWC predictions at the field scale (tenfold reduction of accuracy) and, therefore, must be properly taken into account during the TL-ERT data processing using complementary hydrogeological sensors. Based on these results, we suggest that future studies using TL-ERT to predict VWC in mine tailings could use sample-scale laboratory apparatus similar to the electrical resistivity Tempe cell presented here to calibrate petrophysical models and carefully upscale them to field applications.
DNA metabarcoding reveals consumption of diverse community of amphibians by invasive wild pigs (Sus scrofa) in the southeastern United States
Authors: Canright Vienna R. , Piaggio Antoinette J. , Chinn Sarah M. , Giglio Rachael M. , Craine Joseph M. , Beasley James C. 
Published: November 2023

AbstractInvasive wild pigs (Sus scrofa) are one of the most widespread, destructive vertebrate species globally. Their success can largely be attributed to their generalist diets, which are dominated by plant material but also include diverse animal taxa. Wild pigs are demonstrated nest predators of ground-nesting birds and reptiles, and likely pose a threat to amphibians given their extensive overlap in wetland use. DNA metabarcoding of fecal samples from 222 adult wild pigs culled monthly from 2017 to 2018 revealed a diverse diet dominated by plant material, with 166 plant genera from 56 families and 18 vertebrate species identified. Diet composition varied seasonally with availability for plants and was consistent between sexes. Amphibians were the most frequent vertebrate group consumed and represented the majority of vertebrate species detected, suggesting amphibians are potentially vulnerable to predation by wild pigs in our study region. Mammal, reptile, and bird species were also detected in pig diets, but infrequently. Our results highlight the need for research on the impacts of wild pigs on amphibians to better inform management and conservation of imperiled species.
Electronic and magnetic properties of 2D vanadium-based transition metal dichalcogenides
Authors: Jafari Mirali , Rudziński Wojciech , Barnaś Józef , Dyrdał Anna 
Published: November 2023

AbstractIn this paper, electronic and magnetic properties of monolayers and bilayers of Vanadium-based transition metal dichalcogenides VX2(X = S, Se, Te) in the H phase are investigated theoretically using methods based on DFT calculations as well as analytical methods based on effective spin Hamiltonians. The band structure has been computed for all systems, and then the results have been used to determine exchange parameters and magnetic anisotropy constants. These parameters are subsequently used for the determination of the Curie temperatures, hysteresis curves, and energy of spin-wave excitations. In the latter case, we compare analytical results based on effective spin Hamiltonian with those determined numerically by Quantum ATK software and find a good agreement. The determined Curie temperature for VTe2monolayers and bilayers is below the room temperature (especially that for bilayers), while for the other two materials, i.e. for VS2and VSe2, it is above the room temperature, in agreement with available experimental data.
Antioxidant effects of phenolic compounds in through the distillation of Lonicera japonica & Chenpi extract and anti-inflammation on skin keratinocyte
Authors: Kim Hun Hwan , Jeong Se Hyo , Park Min Yeong , Bhosale Pritam Bhangwan , Abusaliya Abuyaseer , Kim Hyun Wook , Seong Je Kyung , Ahn Meejung , Park Kwang Il , Kim Gon Sup 
Published: November 2023

AbstractThe phenolic compounds in Lonicera japonica & Chenpi distillation extract (LCDE) were thoroughly examined for their antioxidant and anti-inflammatory properties. Phenolic compounds in LCDE were analyzed for five peaks using high-performance liquid chromatography (HPLC) combined with mass spectrometry (MS) and determined. Five phenolic compounds were identified from the samples and MS data. Ultrafiltration with LC analysis was used to investigate the ability of bioactive compounds to target DPPH. As a result, it was confirmed that the major compounds exhibited a high binding affinity to DPPH and could be regarded as antioxidant-active compounds. In addition, the anti-inflammatory effect of LCDE was confirmed in vitro, and signal inhibition of anti-inflammation cytokines, MAPK and NF-kB pathways was confirmed. Finally, Molecular docking analysis supplements the anti-inflammatory effect through the binding affinity of selected compounds and inflammatory factors. In conclusion, the phenolic compounds of the LCDE were identified and potential active compounds for antioxidant and anti-inflammatory activities were identified. Additionally, this study will be utilized to provide basic information for the application of LCDE in the pharmaceutical and pharmaceutical cosmetics industries along with information on efficient screening techniques for other medicinal plants.
Assessment of mycotoxins in cornflakes marketed in Lebanon
Authors: Hassan Hussein F. , Awada Farah , Dimassi Hani , El Ahmadieh Christina , Hassan Nour Bachar , El Khatib Sami , Alwan Nisreen , Abiad Mohamad G. , Serhan Mireille , Darra Nada El 
Published: November 2023

AbstractCornflakes are a popular and convenient breakfast cereal made from corn and widely consumed worldwide, including in Lebanon. However, they are susceptible to mycotoxin contamination, which can have harmful effects on human health. Our study evaluated the occurrence of five mycotoxins (AFB1, OTA, FUM, ZEA, DON) levels in packed cornflakes marketed in Lebanon. A market screening identified 35 different cornflake stock-keeping units (SKU) in the Lebanese market, originating from 10 different brands and having different tastes and shapes. SKUs were collected and tested for five mycotoxins in triplicates using enzyme-linked immunosorbent assay technique. The results showed the presence of the five mycotoxins in the samples. The average levels of AFB1, OTA, ZEA and FUM among positive samples (above limit of detection) were 1.58, 1.2, 15.1 and 774.1 μg/kg, respectively, and were below the EU limits. On the other hand, the average level of DON was 1206.7 μg/kg, exceeding the EU limit. Furthermore, out of the positive samples, 60%, 17%, 9%, 14%, and 6% exceeded the EU limits for DON, OTA, AFB1, FUM, and ZEA, respectively. Notably, SKUs made in Lebanon had significantly (p < 0.05) higher levels of AFB1 and FUM. The packing size of the cornflakes had no significant (p > 0.05) effect on the levels of the five mycotoxins detected in the samples. AFB1, FUM and ZEA levels differed significantly among SKUs (p > 0.05). Considering these findings, further studies should be conducted to assess the exposure to mycotoxins from the consumption of cornflakes in Lebanon, especially among children.
Probabilistic and rich individual working memories revealed by a betting game
Authors: Jabar Syaheed B. , Sreenivasan Kartik K. , Lentzou Stergiani , Kanabar Anish , Brady Timothy F. , Fougnie Daryl 
Published: November 2023

AbstractWhen asked to remember a color, do people remember a point estimate (e.g., a particular shade of red), a point estimate plus an uncertainty estimate, or are memory representations rich probabilistic distributions over feature space? We asked participants to report the color of a circle held in working memory. Rather than collecting a single report per trial, we had participants place multiple bets to create trialwise uncertainty distributions. Bet dispersion correlated with performance, indicating that internal uncertainty guided bet placement. While the first bet was on average the most precisely placed, the later bets systematically shifted the distribution closer to the target, resulting in asymmetrical distributions about the first bet. This resulted in memory performance improvements when averaging across bets, and overall suggests that memory representations contain more information than can be conveyed by a single response. The later bets contained target information even when the first response would generally be classified as a guess or report of an incorrect item, suggesting that such failures are not all-or-none. This paradigm provides multiple pieces of evidence that memory representations are rich and probabilistic. Crucially, standard discrete response paradigms underestimate the amount of information in memory representations.