bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impacts of kaolinite enrichment on biochar and hydrochar characterization, stability, toxicity, and maize germination and growth
Authors: Al-Swadi Hamed A. , Al-Farraj Abdullah S. , Al-Wabel Mohammad I. , Ahmad Munir , Usman Adel R. A. , Ahmad Jahangir , Mousa Mohammed Awad , Rafique Muhammad Imran 
Published: January 2024

AbstractIn this study, biochar (BC) and hydrochar (HC) composites were synthesized with natural kaolinite clay and their properties, stability, carbon (C) sequestration potential, polycyclic aromatic hydrocarbons (PAHs) toxicity, and impacts on maize germination and growth were explored. Conocarpus waste was pretreated with 0%, 10%, and 20% kaolinite and pyrolyzed to produce BCs (BC, BCK10, and BCK20, respectively), while hydrothermalized to produce HCs (HC, HCK10, and HCK20, respectively). The synthesized materials were characterized using X-ray diffraction, scanning electron microscope analyses, Fourier transform infrared, thermogravimetric analysis, surface area, proximate analyses, and chemical analysis to investigate the distinction in physiochemical and structural characteristics. The BCs showed higher C contents (85.73–92.50%) as compared to HCs (58.81–61.11%). The BCs demonstrated a higher thermal stability, aromaticity, and C sequestration potential than HCs. Kaolinite enriched-BCs showed the highest cation exchange capacity than pristine BC (34.97% higher in BCK10 and 38.04% higher in BCK20 than pristine BC), while surface area was the highest in kaolinite composited HCs (202.8% higher in HCK10 and 190.2% higher in HCK20 than pristine HC). The recalcitrance index (R50) speculated a higher recalcitrance for BC, BCK10, and BCK20 (R50 > 0.7), minimal degradability for HCK10 and HCK20 (0.5 < R50 < 0.7), and higher degradability for biomass and HC (R50 < 0.5). Overall, increasing the kaolinite enrichment percentage significantly enhanced the thermal stability and C sequestration potential of charred materials, which may be attributed to changes in the structural arrangements. The ∑ total PAHs concentration in the synthesized materials were below the USEPA’s suggested limits, indicating their safe use as soil amendments. Germination indices reflected positive impacts of synthesized charred materials on maize germination and growth. Therefore, we propose that kaolinite-composited BCs and HCs could be considered as efficient and cost-effective soil amendments for improving plant growth.
Room temperature wafer bonding through conversion of polysilazane into $$\hbox {SiO}_{2}$$
Authors: Takeuchi Kai , Suga Tadatomo , Higurashi Eiji 
Published: January 2024

AbstractRoom temperature wafer bonding is a desirable approach for the packaging and assembly of diverse electronic devices. The formation of $$\hbox {SiO}_{2}$$

SiO
2

layer at the bonding interface is crucial for a reliable wafer bonding as represented by conventional bonding techniques such as hydrophilic bonding and glass frit bonding. This paper reports a novel concept of room temperature wafer bonding based on the conversion of polysilazane to $$\hbox {SiO}_{2}$$

SiO
2

at the bonding interface. As polysilazane is converted to $$\hbox {SiO}_{2}$$

SiO
2

by hydrolysis, in this work, adsorbed water is introduced to the bonding interface by plasma treatment, thereby facilitating the formation of $$\hbox {SiO}_{2}$$

SiO
2

at the wafer bonding interface. The experimental results indicate that the adsorbed water from the plasma treatment diffuses into the polysilazane layer and facilitates its hydrolysis and conversion. The proposed method demonstrates the successful wafer bonding at room temperature with high bond strength without interfacial voids. This technique will provide a new approach of bonding wafers at room temperature for electronics packaging.
Experimental analysis of low-dip reverse fault dislocation effects on tunnel site models with different soil properties
Authors: Zhang Jianyi , Song Yijie , Li Zhongheng , Qu Shihang , Wang Shuai 
Published: January 2024

AbstractThe fortification system of the tunnel structure spanning the active fault, such as the failure mechanism and fault-resistant design (measures), has not been thoroughly established. In this study, the self-developed cross-fault large-scale bedrock dislocation loading device platform is utilized to carry out the model test of the tunnel structure and soil site of sand and cohesive soil when the low-angle reverse fault dislocation occurs, based on the earthquake damage. The results demonstrate that: (1) When the fault is staggered, the segmented flexible joint tunnel segment is more favorable in the cohesive soil site. (2) When compared to the cohesive soil tunnel structure site, the strain change of the tunnel structure in the sandy soil site is greater, with the vault increasing by roughly two times and the arch bottom increasing by nearly six times. After the tunnel is buried, the uplift range of the sand cover layer grows, revealing uneven deformation, and the rupture zone migrates to the footwall; hence, the sand site plays a “add seismic” role in the cross-fault tunnel structure. (3) Knowing the location and shape of the rupture range of the overburden soil caused by bedrock dislocation under different inclination angles and soil properties is required in the design in order to place the buried depth and segment length of the tunnel reasonably and take fault-resistant measures.
Hydro-chemical based assessment of groundwater vulnerability in the Holocene multi-aquifers of Ganges delta
Authors: Saha Asish , Pal Subodh Chandra , Islam Abu Reza Md. Towfiqul , Islam Aznarul , Alam Edris , Islam Md. Kamrul 
Published: January 2024

AbstractDetermining the degree of high groundwater arsenic (As) and fluoride (F−) risk is crucial for successful groundwater management and protection of public health, as elevated contamination in groundwater poses a risk to the environment and human health. It is a fact that several non-point sources of pollutants contaminate the groundwater of the multi-aquifers of the Ganges delta. This study used logistic regression (LR), random forest (RF) and artificial neural network (ANN) machine learning algorithm to evaluate groundwater vulnerability in the Holocene multi-layered aquifers of Ganges delta, which is part of the Indo-Bangladesh region. Fifteen hydro-chemical data were used for modelling purposes and sophisticated statistical tests were carried out to check the dataset regarding their dependent relationships. ANN performed best with an AUC of 0.902 in the validation dataset and prepared a groundwater vulnerability map accordingly. The spatial distribution of the vulnerability map indicates that eastern and some isolated south-eastern and central middle portions are very vulnerable in terms of As and F− concentration. The overall prediction demonstrates that 29% of the areal coverage of the Ganges delta is very vulnerable to As and F− contents. Finally, this study discusses major contamination categories, rising security issues, and problems related to groundwater quality globally. Henceforth, groundwater quality monitoring must be significantly improved to successfully detect and reduce hazards to groundwater from past, present, and future contamination.
Cationic oxides and dioxides of modified sugarcane bagasse beads with applications as low-cost sorbents for direct red 28 dye
Authors: Praipipat Pornsawai , Ngamsurach Pimploy , Libsittikul Nantikorn , Kaewpetch Chawanluk , Butdeesak Punpruksa , Nachaiperm Wachira 
Published: January 2024

AbstractThe direct red 28 (DR28) dye contamination in wastewater blocks the transmission of light into the water body resulting in the inability to photosynthesize by aquatic life. In addition, it is difficult to break down and persist in the environment, and it is also harmful to aquatic life and water quality because of its aromatic structure. Thus, wastewater contaminated with dyes is required to treat before releasing into the water body. Sugarcane bagasse beads (SBB), sugarcane bagasse modified with titanium dioxide beads (SBBT), sugarcane bagasse modified with magnesium oxide beads (SBBM), sugarcane bagasse modified with aluminum oxide beads (SBBA), and sugarcane bagasse modified with zinc oxide beads (SBBZ) for DR28 dye removal in aqueous solution, and they were characterized with several techniques of BET, FESEM-FIB, EDX, FT-IR, and the point of zero charges (pHpzc). Their DR28 dye removal efficiencies were examined through batch tests, adsorption isotherms, and kinetics. SBBM had the highest specific surface area and pore volume, whereas its pore size was the smallest among other materials. The surfaces of SBB, SBBM, SBBT, and SBBA were scaly sheet surfaces with an irregular shape, whereas SBBZ was a coarse surface. Oxygen, carbon, calcium, chloride, sodium, O–H, C–H, C=O, C=C, and C–O–C were found in all materials. The pHpzc of SBB, SBBT, SBBM, SBBA, and SBBZ were 6.57, 7.31, 10.11, 7.25, and 7.77. All materials could adsorb DR28 dye at 50 mg/L by more than 81%, and SBBM had the highest DR28 dye removal efficiency of 94.27%. Langmuir model was an appropriate model for SBB, whereas Freundlich model was a suitable model for other materials. A pseudo-second-order kinetic model well described their adsorption mechanisms. Their adsorptions of the DR28 dye were endothermic and spontaneous. Therefore, they were potential materials for adsorbing DR28 dye, especially SBBM.
RETRACTED ARTICLE: Extremely efficient aerogels of graphene oxide/graphene oxide nanoribbons/sodium alginate for uranium removal from wastewater solution
Authors: Jabbar Ali A. , Hussain Dhia H. , Latif Kamal H. , Albukhaty Salim , Jasim Adel Kareem , Sulaiman Ghassan M. , Abomughaid Mosleh M. 
Published: January 2024

AbstractWaste-water pollution by radioactive elements such as uranium has emerged as a major issue that might seriously harm human health. Graphene oxide, graphene oxide nanoribbons, and sodium alginate nanocomposite aerogels (GO/GONRs/SA) were combined to create a novel nanocomposite using a modified Hummer's process and freeze-drying as an efficient adsorbent. Batch studies were conducted to determine the adsorption of uranium (VI) by aerogel. Aerogels composed of (GO/GONRs/SA) were used as an effective adsorbent for the removal of U (VI) from aqueous solution. Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) were used to describe the structure, morphologies, and characteristics of (GO/GONRs/SA) aerogels. The initial concentration of uranium (VI) and other environmental factors on U (VI) adsorption were investigated, period of contact, pH, and temperature. A pseudo-second-order kinetic model can be employed to characterize the kinetics of U (VI) adsorption onto aerogels. The Langmuir model could be applied to understand the adsorption isotherm, and the maximum adsorption capacity was 929.16 mg/g. The adsorption reaction is endothermic and occurs spontaneously.
Quasi-Biennial Oscillation influence on Australian summer rainfall
Authors: Jiang Xiaoxuan , Holbrook Neil J. , Marshall Andrew G. , Love Peter T. 
Published: January 2024

AbstractThe variability and distribution of Australia’s summer rainfall are influenced by modes of climate variability on multi-week to multi-year time scales. Here, we investigate the role of the stratospheric quasi-biennial oscillation (QBO) and demonstrate that the QBO influences rainfall variations and extremes’ responses across large regions of Australia. We find the QBO modulates convective heating to the east of the Maritime Continent and over the central South Atlantic Ocean in the austral summer. The baroclinic response and barotropic structure of the extra-tropical Rossby wave train induces anomalous circulation that affects the distribution and amount of rainfall over Australia. Our analysis and findings of QBO teleconnections with the dynamics that drive Australia’s rainfall variability and extremes represents a pathway to improve our understanding of rainfall potential predictability and scope to extend Australia’s rainfall prediction lead times.
Digital remote monitoring for screening and early detection of urinary tract infections
Authors: Capstick Alexander , Palermo Francesca , Zakka Kimberley , Fletcher-Lloyd Nan , Walsh Chloe , Cui Tianyu , Kouchaki Samaneh , Jackson Raphaella , Tran Martin , Crone Michael , Jensen Kirsten , Freemont Paul , Vaidyanathan Ravi , Kolanko Magdalena , True Jessica , Daniels Sarah , Wingfield David ,   CR&T Group, Nilforooshan Ramin , Barnaghi Payam 
Published: January 2024

AbstractUrinary Tract Infections (UTIs) are one of the most prevalent bacterial infections in older adults and a significant contributor to unplanned hospital admissions in People Living with Dementia (PLWD), with early detection being crucial due to the predicament of reporting symptoms and limited help-seeking behaviour. The most common diagnostic tool is urine sample analysis, which can be time-consuming and is only employed where UTI clinical suspicion exists. In this method development and proof-of-concept study, participants living with dementia were monitored via low-cost devices in the home that passively measure activity, sleep, and nocturnal physiology. Using 27828 person-days of remote monitoring data (from 117 participants), we engineered features representing symptoms used for diagnosing a UTI. We then evaluate explainable machine learning techniques in passively calculating UTI risk and perform stratification on scores to support clinical translation and allow control over the balance between alert rate and sensitivity and specificity. The proposed UTI algorithm achieves a sensitivity of 65.3% (95% Confidence Interval (CI) = 64.3–66.2) and specificity of 70.9% (68.6–73.1) when predicting UTIs on unseen participants and after risk stratification, a sensitivity of 74.7% (67.9–81.5) and specificity of 87.9% (85.0–90.9). In addition, feature importance methods reveal that the largest contributions to the predictions were bathroom visit statistics, night-time respiratory rate, and the number of previous UTI events, aligning with the literature. Our machine learning method alerts clinicians of UTI risk in subjects, enabling earlier detection and enhanced screening when considering treatment.
Loss of Mptx2 alters bacteria composition and intestinal homeostasis potentially by impairing autophagy
Authors: Yan Weihui , Chen Shanshan , Wang Ying , You Yaying , Lu Ying , Wang Weipeng , Wu Bo , Du Jun , Peng Shicheng , Cai Wei , Xiao Yongtao 
Published: January 2024

AbstractA recent single-cell survey of the small-intestinal epithelium suggests that mucosal pentraxin 2 (Mptx2) is a new Paneth cell marker, but its function and involved mechanism in the Paneth cell are still unknown. Therefore, we create Mptx2 knockout (Mptx2−/−) mice to investigate its precise effects on intestinal homeostasis using models of lipopolysaccharide (LPS), methicillin-resistant Staphylococcus aureus (MRSA) peritoneal infection, and dextran sulfate sodium (DSS)–induced intestinal injury and inflammation. We here find that Mptx2 is selectively expressed in Paneth cells in the small intestines of mice. Mptx2−/− mice have increased susceptibility to intestinal inflammation and injured. Mptx2 deficiency reduces Paneth cell count and expression of antimicrobial factors, leading to altered intestinal bacteria composition. Loss of Mptx2 aggravates MRSA infection–induced damage in the intestine while decreasing autophagy in Paneth cells. Mptx2−/− mice are more vulnerable to LPS-induced intestinal possibly due to inhibition of the autophagy/endoplasmic reticulum (ER) stress pathway. Mptx2−/− mice are susceptible to DSS-induced colitis that could be ameliorated by treatment with gentamicin or vancomycin antibiotics. In conclusion, Mptx2 is essential to maintain intestinal homeostasis potentially via regulation of autophagy in Paneth cells.
Maximizing soil organic carbon stocks through optimal ploughing and renewal strategies in (Ley) grassland
Authors: Hu Teng , Malone Sparkle L. , Rumpel Cornelia , Chabbi Abad 
Published: January 2024

AbstractGrassland management effects on soil organic carbon storage under future climate are unknown. Here we examine the impact of ley grassland durations in crop rotations on soil organic carbon in temperate climate from 2005 to 2100, considering two IPCC scenarios, RCP4.5 and RCP8.5, with and without atmospheric CO2 enhancements. We used the DailyDayCent model and a long-term experiment to show that ley grasslands increase soil organic carbon storage by approximately 10 Mg ha−1 over 96 years compared with continuous cropping. Surprisingly, extending ley duration from 3 to 6 years does not enhance soil organic carbon. Furthermore, in comparison with non-renewed grasslands, those renewed every three years demonstrated a notable increase in soil organic carbon storage, by 0.3 Mg ha−1 yr−1. We concluded that management of ploughing and renewal intervals is crucial for maximizing soil organic carbon stocks, through balancing biomass carbon inputs during regrowth and carbon losses through soil respiration.
The role of the IPCC in assessing actionable evidence for climate policymaking
Authors: Pollitt Hector , Mercure Jean-Francois , Barker Terry , Salas Pablo , Scrieciu Serban 
Published: January 2024

AbstractClimate policymakers across the world seek inputs from the research community to determine appropriate policies to reduce greenhouse gas emissions. However, the reports of the Intergovernmental Panel on Climate Change (IPCC), which perform the largest available analytical exercise in this area, offer scarce analytics on climate policy design. Here, we explore how, despite its ‘neutral, policy-relevant but not policy-prescriptive’ principle, the IPCC’s analytical scenario process in Working Group III on Mitigation has adopted an implicitly prescriptive policy position in favour of carbon pricing. Drawing on the example of alternative climate-economic modelling using the E3ME-FTT framework, we explore a pathway for the IPCC process that could cater for diverse ranges of more realistic granular policies. We conclude that, to become truly policy-relevant, the IPCC’s climate mitigation work is in urgent need of reform to provide more effective support for policy design.
Ribogenesis boosts controlled by HEATR1-MYC interplay promote transition into brain tumour growth
Authors: Diaz Laura R , Gil-Ranedo Jon , Jaworek Karolina J , Nsek Nsikan , Marques Joao Pinheiro , Costa Eleni , Hilton David A , Bieluczyk Hubert , Warrington Oliver , Hanemann C Oliver , Futschik Matthias E , Bossing Torsten , Barros Claudia S 
Published: January 2024

AbstractCell commitment to tumourigenesis and the onset of uncontrolled growth are critical determinants in cancer development but the early events directing tumour initiating cell (TIC) fate remain unclear. We reveal a single-cell transcriptome profile of brain TICs transitioning into tumour growth using thebrain tumour(brat) neural stem cell-basedDrosophilamodel. Prominent changes in metabolic and proteostasis-associated processes including ribogenesis are identified. Increased ribogenesis is a known cell adaptation in established tumours. Here we propose that brain TICs boost ribogenesis prior to tumour growth. Inbrat-deficient TICs, we show that this dramatic change is mediated by upregulatedHEAT-Repeat Containing 1(HEATR1) to promote ribosomal RNA generation, TIC enlargement and onset of overgrowth. HighHEATR1expression correlates with poor glioma patient survival and patient-derived glioblastoma stem cells rely on HEATR1 for enhanced ribogenesis and tumourigenic potential. Finally, we show that HEATR1 binds the master growth regulator MYC, promotes its nucleolar localisation and appears required for MYC-driven ribogenesis, suggesting a mechanism co-opted in ribogenesis reprogramming during early brain TIC development.
Molecular details of ruthenium red pore block in TRPV channels
Authors: Pumroy Ruth A , De Jesús-Pérez José J , Protopopova Anna D , Rocereta Julia A , Fluck Edwin C , Fricke Tabea , Lee Bo-Hyun , Rohacs Tibor , Leffler Andreas , Moiseenkova-Bell Vera 
Published: January 2024

AbstractTransient receptor potential vanilloid (TRPV) channels play a critical role in calcium homeostasis, pain sensation, immunological response, and cancer progression. TRPV channels are blocked by ruthenium red (RR), a universal pore blocker for a wide array of cation channels. Here we use cryo-electron microscopy to reveal the molecular details of RR block in TRPV2 and TRPV5, members of the two TRPV subfamilies. In TRPV2 activated by 2-aminoethoxydiphenyl borate, RR is tightly coordinated in the open selectivity filter, blocking ion flow and preventing channel inactivation. In TRPV5 activated by phosphatidylinositol 4,5-bisphosphate, RR blocks the selectivity filter and closes the lower gate through an interaction with polar residues in the pore vestibule. Together, our results provide a detailed understanding of TRPV subfamily pore block, the dynamic nature of the selectivity filter and allosteric communication between the selectivity filter and lower gate.
A topic‐controllable keywords‐to‐text generator with knowledge base network
Authors: He Li , Shi Kaize , Wang Dingxian , Wang Xianzhi , Xu Guandong 
Published: January 2024

AbstractWith the introduction of more recent deep learning models such as encoder‐decoder, text generation frameworks have gained a lot of popularity. In Natural Language Generation (NLG), controlling the information and style of the output produced is a crucial and challenging task. The purpose of this paper is to develop informative and controllable text using social media language by incorporating topic knowledge into a keyword‐to‐text framework. A novel Topic‐Controllable Key‐to‐Text (TC‐K2T) generator that focuses on the issues of ignoring unordered keywords and utilising subject‐controlled information from previous research is presented. TC‐K2T is built on the framework of conditional language encoders. In order to guide the model to produce an informative and controllable language, the generator first inputs unordered keywords and uses subjects to simulate prior human knowledge. Using an additional probability term, the model increases the likelihood of topic words appearing in the generated text to bias the overall distribution. The proposed TC‐K2T can produce more informative and controllable senescence, outperforming state‐of‐the‐art models, according to empirical research on automatic evaluation metrics and human annotations.
PCBDet: An efficient deep neural network object detection architecture for automatic PCB component detection on the edge
Authors: Li B. , Palayew S. , Li F. , Abbasi S. , Nair S. , Wong A. 
Published: January 2024

AbstractThere can be numerous electronic components on a given PCB, making the task of visual inspection to detect defects very time‐consuming and prone to error, especially at scale. There has thus been significant interest in automatic PCB component detection, particularly leveraging deep learning. While deep neural networks are able to perform such detection with greater accuracy, these networks typically require high computational resources, limiting their feasibility in real‐world use cases, which often involve high‐volume and high‐throughput detection with constrained edge computing resource availability. To bridge this gap between performance and resource requirements, PCBDet, an attention condenser network design that provides state‐of‐the‐art inference throughput while achieving superior PCB component detection performance compared to other state‐of‐the‐art efficient architecture designs, is introduced. Experimental results show that PCBDet can achieve up to 2× inference speed‐up on an ARM Cortex A72 processor when compared to an EfficientNet‐based design while achieving ∼2–4% higher mAP on the FICS‐PCB benchmark dataset.