bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biochar production methods and their transformative potential for environmental remediation
Authors: Rajput Vishal , Saini Isha , Parmar Simran , Pundir Vedansh , Kumar Vijay , Kumar Vivek , Naik Bindu , Rustagi Sarvesh 
Published: July 2024

AbstractBiochar, produced from biodegradable waste through advanced thermochemical processes like pyrolysis, offers substantial environmental benefits due to its carbon-rich composition and versatile applications. This review delves into the transformative potential of biochar derived from diverse agricultural and municipal solid wastes. With its unique properties-including a high surface area, porosity, and functional groups such as –COOH, –OH, and –NH2 biochar stands out as a highly effective adsorbent for heavy metals and organic pollutants. Factors like feedstock type, pyrolysis temperature, and residence time critically shape biochar’s characteristics and yield. Moreover, pretreatment methods and activation techniques further amplify its adsorption capacity. Biochar’s environmental applications are vast, spanning soil remediation, water purification, carbon sequestration, and waste management, all promoting ecological sustainability. Its remarkable stability and efficacy in pollutant removal highlight its potential as a catalyst and a vital component in improving soil health. Despite its many advantages, a thorough assessment of biochar’s environmental impact and long-term stability is crucial for its sustainable use. This review highlights recent biochar production, characterization, and application advances, emphasizing the need to balance economic growth with environmental development. By strategically integrating biochar into various sectors, we can pave the way for a greener, more sustainable future.
Shoot and Root Decomposition from Different Cropping Systems Under Semiarid Mediterranean Conditions
Authors: Martín-Brull Irene , Cantero-Martínez Carlos , Franco-Luesma Samuel , Lafuente Victoria , Álvaro-Fuentes Jorge 
Published: July 2024

AbstractImproving the management of crop residues is essential for water and soil conservation and for increasing soil carbon (C) and nitrogen (N) levels in dryland agroecosystems. The main objective of the study was to evaluate the decomposition dynamics and C and N released from crop residues from different cropping systems under semiarid Mediterranean conditions. A litterbag experiment was conducted from July of 2020 to June of 2021 to examine the shoot and root decomposition dynamics of different cropping systems; the following systems were selected: V(B), vetch (Vicia sativa) residue decomposition in a barley crop; B(V), barley (Hordeum vulgare L.) residue decomposition in a vetch crop; P(B), pea (Pisum sativum) residue decomposition in a barley crop; B(P), barley residue decomposition in a pea crop; and B(B), barley residue decomposition in a barley crop. After 48 weeks of decomposition, a 45% and 60% of residues mass remaining (MR) was found corresponding to vetch and pea shoot residues respectively, whilst barley MR ranged 77–87% depending on the cropping system. In root residues, the mass decay from legume residues (40–45%) was higher compared to barley residues (17–29%). Exponential decay and linear models explained the residue decomposition observed in our study conditions. Residues C to N ratio and edaphoclimatic conditions played a major role controlling the decomposition. Residue decomposition and C and N release dynamics from different crop residues need to be considered for a transition to more sustainable agroecosystems under Mediterranean semiarid conditions.
Prevalence and Regional Distribution of Beta-Hemoglobin Variants in Saudi Arabia: Insights from the National Premarital Screening Program”
Authors: Aljabry Mansour , Sulimani Suha , Alotaibi Ghazi , Aljabri Hassan , Alomary Shaker , Aljabri Omar , Sallam Maha , Alsultan Abdulrahman 
Published: July 2024

Abstract
Background
Hemoglobinopathies are among the most prevalent inherited disorders globally, with carrier prevalence varying significantly across regions. In Saudi Arabia, high rates of consanguineous marriages amplify the risk of these disorders.

Aim
This study aims to assess the burden of hemoglobinopathies by evaluating the prevalence and regional distribution of beta-hemoglobin variants, including rare variants, among couples participating in the national premarital screening program.

Methods
Data were collected from the premarital genetic screening program and entered into the SEHA platform, covering the 13 administrative regions of Saudi Arabia. Blood samples underwent various screening tests for infectious and genetic diseases. Hemoglobin electrophoresis samples were analyzed using capillary electrophoresis, High-Performance Liquid Chromatography (HPLC), or a combination of both methods.

Results
From 2011 to 2018, 1,871,184 individuals were included in the study, with 49.8% male and 50.2% female. The average age was 30.2 years. Hemoglobin S (HbS) was identified in 88,431 individuals (4.7% of the tested population and 78.5% of abnormal screening results), primarily as a sickle cell trait. β-thalassemia was the second most common disorder, identified in 22,420 individuals (1.2% of the population and 19.9% of hemoglobin disorders). HbC and HbD were each detected in 0.04% of cases, while HbO-Arab was identified in 0.007% and HbG in 0.006%. Hemoglobin E and hemoglobin Lepore were found to be extremely rare.

Conclusion
The study demonstrates regional variation in the prevalence of hemoglobin genetic variants in Saudi Arabia. To effectively mitigate this risk, it is imperative to strengthen public education and awareness, particularly focusing on genetic screening and counseling.
Estimating Daily Snow Density Through a Spatiotemporal Random Forest Model
Authors: Sun Liyang , Zhang Xueliang , Wang Huadong , Xiao Pengfeng , Wang Yunhan 
Published: July 2024

AbstractSnow density is of paramount importance in water resource management, snow avalanche warning, and climate change research. However, the lack of competent methods for long‐term and vast‐scale snow density mapping persists due to the intricate spatiotemporal dependencies inherent in snow density, resulting in scarce and inaccurate snow density products. To address this challenge, a spatiotemporal random forest (STRF) model is constructed by leveraging in‐situ measurements, multisource remote sensing, and reanalysis data. It tackles the spatiotemporal dependencies in snow density arising from its inherent heterogeneity and the relations involving snow density and nonlinearly connected meteorological, terrain, vegetation, and snow‐related factors. The effectiveness of the model is substantiated through rigorous validation methods, including random, temporal, and spatial block cross‐validations as well as independent validation, apparently surpassing ERA5‐Land snow density. The estimated snow density is also demonstrated to be able to improve existing snow water equivalent data set using fixed snow density. Utilizing the proposed model, a data set of daily 25‐km snow density from 1980 to 2018 is constructed for stable snow cover areas in China, which holds significant potential for research and applications in the realm of snow hydrology.
The Frictional‐Viscous Transition in Experimentally Deformed Granitoid Fault Gouge
Authors: Zhan W. , Niemeijer A. R. , Berger A. , Nevskaya N. , Spiers C. J. , Herwegh M. 
Published: July 2024

AbstractIn crustal faults dominated by granitoid gouges, the frictional‐viscous transition marks a significant change in strength constraining the lower depth limit of the seismogenic zone. Dissolution‐precipitation creep (DPC) may play an important role in initiating this transition, especially within polymineralic materials. Yet, it remains unclear to what extent DPC contributes to the weakening of granitoid gouge materials at the transition. Here we conducted sliding experiments on wet granitoid gouges to large displacement (15 mm), at an effective normal stress and pore fluid pressure of 100 MPa, at temperatures of 20–650°C, and at sliding velocities of 0.1–100 μm/s, which are relevant for earthquake nucleation. Gouge shear strengths were generally ∼75 MPa even at temperatures up to 650°C and at velocities >1 μm/s. At velocities ≤1 μm/s, strengths decreased at temperatures ≥450°C, reaching a minimum of 37 MPa at the highest temperature and lowest velocity condition. Microstructural observations showed that, as the gouges weakened, the strain localized into thin, dense, and ultrafine‐grained (≤1 μm) principal slip zones, where nanopores were located along grain contacts and contained minute biotite‐quartz‐feldspar precipitates. The stress sensitivity exponent n decreased from a large number at 20°C to ∼2.2 at 650°C at the lowest velocities. These findings suggest that high temperature, slow velocity and small grain sizes promote DPC‐accommodated granular flow over cataclastic frictional granular flow, leading to the observed weakening and strain localization. Field observations together with extrapolation suggest that DPC‐induced weakening occurs at depths of 7–20 km depending on geothermal gradient.
Localization of Deformation on Faults Driven by Fluids During the L’Aquila 2009 Earthquake
Authors: Fonzetti Rossella , Valoroso Luisa , De Gori Pasquale , Chiarabba Claudio 
Published: July 2024

AbstractCoseismic rupture and aftershock development on a fault plane are complex and heterogeneous processes. The Mw 6.1 L’Aquila 2009 normal faulting earthquake is a perfect case to explore how fault geometry and rheology influence the rupture process and aftershocks distribution. In this study, we use for the first time a dense set of earthquake data to obtain enhanced images of the causative normal fault structure to the kilometer scale. The hypocenter of the emergent onset of the mainshock took place within a low Vp/Vs volume, while the large coseismic slip occurred a few kilometers above, as the rupture propagated through a high Vp and high Vp/Vs fluid‐filled rock volume. The increase of Vp/Vs in the fault hanging wall during the sequence suggests a strong dehydration in the earthquake asperity, with an upward fluid pressure migration along the fault toward the host rock volume. We propose that the localization of deformation on the fault plane is favored by high fluid pressure, while the spreading of aftershocks on a wide volume around the fault is driven by the depletion of fluids from the slipped portion of the fault plane and migration to small segments within the fault host rocks.
CHIP-mediated ubiquitin degradation of BCAT1 regulates glioma cell proliferation and temozolomide sensitivity
Authors: Lu Zhuo , Wang Xiao-Yu , He Kai-Yi , Han Xin-Hao , Wang Xing , Zhang Zhen , Qu Xin-Hui , Chen Zhi-Ping , Han Xiao-Jian , Wang Tao 
Published: July 2024

AbstractGlioma, a malignant and infiltrative neoplasm of the central nervous system, poses a significant threat due to its high mortality rates. Branched-chain amino acid transaminase 1 (BCAT1), a key enzyme in branched-chain amino acid (BCAA) catabolism, exhibits elevated expression in gliomas and correlates strongly with poor prognosis. Nonetheless, the regulatory mechanisms underlying this increased BCAT1 expression remains incompletely understood. In this study, we reveal that ubiquitination at Lys360 facilitates BCAT1 degradation, with low ubiquitination levels contributing to high BCAT1 expression in glioma cells. The Carboxyl terminus of Hsc70-interacting protein (CHIP), an E3 ubiquitin ligase, interacts with BCAT1 via its coiled-coil (CC) domain, promoting its K48-linkage ubiquitin degradation through proteasomal pathway. Moreover, CHIP-mediated BCAT1 degradation induces metabolic reprogramming, and impedes glioma cell proliferation and tumor growth both in vitro and in vivo. Furthermore, a positive correlation is observed between low CHIP expression, elevated BCAT1 levels, and unfavorable prognosis among glioma patients. Additionally, we show that the CHIP/BCAT1 axis enhances glioma sensitivity to temozolomide by reducing glutathione (GSH) synthesis and increasing oxidative stress. These findings underscore the critical role of CHIP/BCAT1 axis in glioma cell proliferation and temozolomide sensitivity, highlighting its potential as a diagnostic marker and therapeutic target in glioma treatment.
Modifiable lifestyle factors and the risk of post-COVID-19 multisystem sequelae, hospitalization, and death
Authors: Wang Yunhe , Su Binbin , Alcalde-Herraiz Marta , Barclay Nicola L. , Tian Yaohua , Li Chunxiao , Wareham Nicholas J. , Paredes Roger , Xie Junqing , Prieto-Alhambra Daniel 
Published: July 2024

AbstractEffective prevention strategies for post-COVID complications are crucial for patients, clinicians, and policy makers to mitigate their cumulative burden. This study evaluated the association of modifiable lifestyle factors (smoking, alcohol intake, BMI, physical activity, sedentary time, sleep duration, and dietary habits) with COVID-19 multisystem sequelae, death, and hospitalization in the UK Biobank cohort (n = 68,896). A favorable lifestyle (6-10 healthy factors; 46.4%) was associated with a 36% lower risk of multisystem sequelae (HR, 0.64; 95% CI, 0.58-0.69; ARR at 210 days, 7.08%; 95% CI, 5.98-8.09) compared to an unfavorable lifestyle (0-4 factors; 12.3%). Risk reductions spanned all 10 organ systems, including cardiovascular, coagulation, metabolic, gastrointestinal, kidney, mental health, musculoskeletal, respiratory disorders, and fatigue. This beneficial effect was largely attributable to direct lifestyle impacts independent of corresponding pre-infection comorbidities (71% for any sequelae). A favorable lifestyle was also related to the risk of post-COVID death (HR 0.59, 0.52-0.66) and hospitalization (HR 0.78, 0.73-0.84). These associations persisted across acute and post-acute infection phases, irrespective of hospitalization status, vaccination, or SARS-CoV-2 variant. These findings underscore the clinical and public health importance of adhering to a healthy lifestyle in mitigating long-term COVID-19 adverse impacts and enhancing future pandemic preparedness.
Altered ribosomal profile in acquired resistance and reversal associates with pathological response to chemotherapy in inflammatory breast cancer
Authors: Devi Gayathri R. , Pai Pritha , Lee Seayoung , Foster Matthew W. , Sannareddy Dorababu S. , Bertucci Francois , Ueno Naoto , Van Laere Steven 
Published: July 2024

AbstractTherapeutic resistance presents a significant hurdle in combating inflammatory breast cancer (IBC), adding to the complexity of its management. To investigate these mechanisms, we conducted a comprehensive analysis using transcriptomic and proteomic profiling in a preclinical model alone with correlates of treatment response in IBC patients. This included SUM149 cell lines derived from treatment-naïve patients, along with acquired drug resistance (rSUM149) and others in a state of resistance reversal (rrSUM149), aiming to uncover drug resistance networks. We identified specific ribosomal proteins associated with acquiring resistance. These correlated with elevated levels of molecular markers such as pERK, CDK1, XIAP, and SOD2. While resistance reversal in rrSUM149 cells largely normalized the expression profile, VIPER analysis revealed persistent alterations in ribosomal process-related proteins (AGO2, Exportin 1, RPL5), suggesting their continued involvement in drug resistance. Moreover, genes linked to ribosomal processes were significantly enriched (P < 0.001) among overexpressed genes in IBC patients (n = 87) who exhibited a pathological complete response (pCR) to neoadjuvant chemotherapy. Given the common hyperactivation of MAPK in IBC tumors, including rSUM149, we evaluated Merestinib, a multikinase inhibitor in clinical trials. It effectively targeted pERK and peIF4E pathways, suppressed downstream targets, induced cell death in drug-resistant rSUM149 cells, and showed synergistic effects with another tyrosine kinase inhibitor (Lapatinib) in parental cells. This underscores its significant impact on protein synthesis signaling, crucial for combating translational dependence in cancer cells. In summary, our study elucidates adaptive changes in IBC cells in response to therapy and treatment pauses, guiding precision medicine approaches for this challenging cancer type.
A robust synthetic data generation framework for machine learning in high-resolution transmission electron microscopy (HRTEM)
Authors: Rangel DaCosta Luis , Sytwu Katherine , Groschner C. K. , Scott M. C. 
Published: July 2024

AbstractMachine learning techniques are attractive options for developing highly-accurate analysis tools for nanomaterials characterization, including high-resolution transmission electron microscopy (HRTEM). However, successfully implementing such machine learning tools can be difficult due to the challenges in procuring sufficiently large, high-quality training datasets from experiments. In this work, we introduce Construction Zone, a Python package for rapid generation of complex nanoscale atomic structures which enables fast, systematic sampling of realistic nanomaterial structures and can be used as a random structure generator for large, diverse synthetic datasets. Using Construction Zone, we develop an end-to-end machine learning workflow for training neural network models to analyze experimental atomic resolution HRTEM images on the task of nanoparticle image segmentation purely with simulated databases. Further, we study the data curation process to understand how various aspects of the curated simulated data—including simulation fidelity, the distribution of atomic structures, and the distribution of imaging conditions—affect model performance across three benchmark experimental HRTEM image datasets. Using our workflow, we are able to achieve state-of-the-art segmentation performance on these experimental benchmarks and, further, we discuss robust strategies for consistently achieving high performance with machine learning in experimental settings using purely synthetic data. Construction Zone and its documentation are available at https://github.com/lerandc/construction_zone.
Mechanistic investigation on the influence of coating weights on the corrosion behaviour of hot-dip-galvanised Zn-Mg-Al coatings
Authors: Malla A. D. , Sullivan J. H. , Penney D. J. , Goldsworthy M. , Britton D. , Williams G. , Goodwin F. , Cardoso A. P. 
Published: July 2024

AbstractTime-lapse Microscopy, scanning vibrating electrode technique and potentiodynamic methods were used to study the influence of increasing coating weight (80–310 gm–2) on microstructure, cut-edge and surface corrosion of Zn-Mg-Al coatings in 0.17 M NaCl. Cut-edge corrosion was similar for all coatings due to the oxygen reduction reaction becoming diffusion-limited. A 64% reduction in surface corrosion was observed for high coating weights through increases in eutectic volume fraction. Spatial and temporal corrosion mechanisms were controlled by microstructural morphological differences as coating weight varied. 80 g.m–2 coatings demonstrated lateral anodic spreading potentially reducing coating penetration rates despite their higher surface corrosion rate.
Spectroscopic confirmation of two luminous galaxies at a redshift of 14
Authors: Carniani Stefano , Hainline Kevin , D’Eugenio Francesco , Eisenstein Daniel J. , Jakobsen Peter , Witstok Joris , Johnson Benjamin D. , Chevallard Jacopo , Maiolino Roberto , Helton Jakob M. , Willott Chris , Robertson Brant , Alberts Stacey , Arribas Santiago , Baker William M. , Bhatawdekar Rachana , Boyett Kristan , Bunker Andrew J. , Cameron Alex J. , Cargile Phillip A. , Charlot Stéphane , Curti Mirko , Curtis-Lake Emma , Egami Eiichi , Giardino Giovanna , Isaak Kate , Ji Zhiyuan , Jones Gareth C. , Kumari Nimisha , Maseda Michael V. , Parlanti Eleonora , Pérez-González Pablo G. , Rawle Tim , Rieke George , Rieke Marcia , Del Pino Bruno Rodríguez , Saxena Aayush , Scholtz Jan , Smit Renske , Sun Fengwu , Tacchella Sandro , Übler Hannah , Venturi Giacomo , Williams Christina C. , Willmer Christopher N. A. 
Published: July 2024

AbstractThe first observations of the James Webb Space Telescope (JWST) have revolutionized our understanding of the Universe by identifying galaxies at redshiftz ≈ 13 (refs.1–3). In addition, the discovery of many luminous galaxies at Cosmic Dawn (z > 10) has suggested that galaxies developed rapidly, in apparent tension with many standard models4–8. However, most of these galaxies lack spectroscopic confirmation, so their distances and properties are uncertain. Here we present JWST Advanced Deep Extragalactic Survey–Near-Infrared Spectrograph spectroscopic confirmation of two luminous galaxies at$$z={14.32}_{-0.20}^{+0.08}$$z=14.32−0.20+0.08andz = 13.90 ± 0.17. The spectra reveal ultraviolet continua with prominent Lyman-α breaks but no detected emission lines. This discovery proves that luminous galaxies were already in place 300 million years after the Big Bang and are more common than what was expected before JWST. The most distant of the two galaxies is unexpectedly luminous and is spatially resolved with a radius of 260 parsecs. Considering also the very steep ultraviolet slope of the second galaxy, we conclude that both are dominated by stellar continuum emission, showing that the excess of luminous galaxies in the early Universe cannot be entirely explained by accretion onto black holes. Galaxy formation models will need to address the existence of such large and luminous galaxies so early in cosmic history.
Genetic factors associated with reasons for clinical trial stoppage
Authors: Razuvayevskaya Olesya , Lopez Irene , Dunham Ian , Ochoa David 
Published: July 2024

AbstractMany drug discovery projects are started but few progress fully through clinical trials to approval. Previous work has shown that human genetics support for the therapeutic hypothesis increases the chance of trial progression. Here, we applied natural language processing to classify the free-text reasons for 28,561 clinical trials that stopped before their endpoints were met. We then evaluated these classes in light of the underlying evidence for the therapeutic hypothesis and target properties. We found that trials are more likely to stop because of a lack of efficacy in the absence of strong genetic evidence from human populations or genetically modified animal models. Furthermore, certain trials are more likely to stop for safety reasons if the drug target gene is highly constrained in human populations and if the gene is broadly expressed across tissues. These results support the growing use of human genetics to evaluate targets for drug discovery programs.
Population-level coding of avoidance learning in medial prefrontal cortex
Authors: Ehret Benjamin , Boehringer Roman , Amadei Elizabeth A. , Cervera Maria R. , Henning Christian , Galgali Aniruddh R. , Mante Valerio , Grewe Benjamin F. 
Published: July 2024

AbstractThe medial prefrontal cortex (mPFC) has been proposed to link sensory inputs and behavioral outputs to mediate the execution of learned behaviors. However, how such a link is implemented has remained unclear. To measure prefrontal neural correlates of sensory stimuli and learned behaviors, we performed population calcium imaging during a new tone-signaled active avoidance paradigm in mice. We developed an analysis approach based on dimensionality reduction and decoding that allowed us to identify interpretable task-related population activity patterns. While a large fraction of tone-evoked activity was not informative about behavior execution, we identified an activity pattern that was predictive of tone-induced avoidance actions and did not occur for spontaneous actions with similar motion kinematics. Moreover, this avoidance-specific activity differed between distinct avoidance actions learned in two consecutive tasks. Overall, our results are consistent with a model in which mPFC contributes to the selection of goal-directed actions by transforming sensory inputs into specific behavioral outputs through distributed population-level computations.