bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of pelvic floor influence on prostate displacement in image‐guided radiotherapy
Authors: Chai Hongbo , Miyasaka Yuya , Hagiwara Yasuhito , Souda Hikaru , Ishizawa Miyu , Sato Hiraku , Iwai Takeo 
Published: October 2024

AbstractPurposeThe uncertainty of target location during prostate cancer radiotherapy plays an important role in accurate dose delivery and radiation toxicity in adjacent organs. This study analyzed displacement correlations between the prostate and pelvic floor.Methods and MaterialsWe retrospectively analyzed registration results from 467 daily cone‐beam computed tomography (CT) in 12 patients with prostate cancer who received radiation therapy. We analyzed prostate displacement and the pelvic floor relative to the pelvic bone's anatomy in the translational and rotational directions and identified statistical correlations.ResultsThe systematic (Σ) and random (σ) displacements of the prostate in the three translational directions, anterior–posterior (AP), superior–inferior (SI), and right–left (RL), were 1.49 ± 1.45, 2.10 ± 1.40, and 0.24 ± 0.53 mm, respectively, and in the rotational directions of the pitch, roll, and yaw were 2.10 ± 2.02°, 0.42 ± 0.74°, and 0.42 ± 0.64°, respectively. The pelvic floor displacements were 2.37 ± 1.96, 2.71 ± 2.28, and 0.47 ± 0.84 mm in the AP, SI, and RL directions, respectively, and 0.93 ± 1.49°, 0.98 ± 1.28 °, and 0.87 ± 0.94° in the pitch, roll, and yaw directions, respectively. Additionally, there were statistically significant correlations between the displacement of the prostate and pelvic floor in the AP and SI directions, with correlation coefficients (r) of 0.74 (p < 0.001) and 0.69 (p < 0.001), respectively.ConclusionsThe movement of the pelvic floor may be an important factor that causes prostate displacement, affecting the accuracy of radiotherapy. Therefore, it is necessary to take appropriate measures to ensure that the pelvic floor muscle tension is as consistent as possible in the treatment’ CT scan and daily treatment.
Strategic lead compound design and development utilizing computer‐aided drug discovery (CADD) to address herbicide‐resistant Phalaris minor in wheat fields
Authors: Rani Priyanka , Rajak Bikash Kumar , Mahato Gopal Kumar , Rathore Ravindranath Singh , Chandra Girish , Singh Durg Vijay 
Published: October 2024

AbstractWheat (Triticum aestivum) is a vital cereal crop and a staple food source worldwide. However, wheat grain productivity has significantly declined as a consequence of infestations by Phalaris minor. Traditional weed control methods have proven inadequate owing to the physiological similarities between P. minor and wheat during early growth stages. Consequently, farmers have turned to herbicides, targeting acetyl‐CoA carboxylase (ACCase), acetolactate synthase (ALS) and photosystem II (PSII). Isoproturon targeting PSII was introduced in mid‐1970s, to manage P. minor infestations. Despite their effectiveness, the repetitive use of these herbicides has led to the development of herbicide‐resistant P. minor biotypes, posing a significant challenge to wheat productivity. To address this issue, there is a pressing need for innovative weed management strategies and the discovery of novel herbicide molecules. The integration of computer‐aided drug discovery (CADD) techniques has emerged as a promising approach in herbicide research, that facilitates the identification of herbicide targets and enables the screening of large chemical libraries for potential herbicide‐like molecules. By employing techniques such as homology modelling, molecular docking, molecular dynamics simulation and pharmacophore modelling, CADD has become a rapid and cost‐effective medium to accelerate the herbicide discovery process significantly. This approach not only reduces the dependency on traditional experimental methods, but also enhances the precision and efficacy of herbicide development. This article underscores the critical role of bioinformatics and CADD in developing next‐generation herbicides, offering new hope for sustainable weed management and improved wheat cultivation practices. © 2024 Society of Chemical Industry.
Surgical Strategies and Perioperative Outcomes of Robot‐Assisted Vena Cava Reconstruction
Authors: Cheng Gong , Xing Yifei , Jiang Guosong , Liang Huageng , Chen Zhaohui , Zhang Xiaoping 
Published: October 2024

ABSTRACTBackgroundThis study aimed to describe robot‐assisted vena cava reconstruction by summarising surgical strategies and perioperative outcomes.MethodsA retrospective review was performed on all robotic surgeries involving dissection and repair of the inferior vena cava (IVC) at our institution. Patient characteristics, operative reports, and follow‐up visits were analysed.ResultsThirty‐nine patients underwent robot assisted surgery of the vena cava from 2016 to 2023. The median postoperative hospital stay of all patients was 7 days, and the median estimated blood loss (EBL) was 550 mL. The median IVC clamping time was 23 min, and IVC wall invasion was pathologically identified in five cases. No patients had liver or kidney dysfunction at the last follow‐up.ConclusionOur initial experiences demonstrate that it is safe and feasible for experienced surgeons to perform robot‐assisted vena cava reconstruction in highly selected patients.
Combining Biomarkers to Improve Diagnostic Accuracy in Detecting Diseases With Group‐Tested Data
Authors: Yang Jin , Zhang Wei , Albert Paul S. , Liu Aiyi , Chen Zhen 
Published: October 2024

ABSTRACTWe consider the problem of combining multiple biomarkers to improve the diagnostic accuracy of detecting a disease when only group‐tested data on the disease status are available. There are several challenges in addressing this problem, including unavailable individual disease statuses, differential misclassification depending on group size and number of diseased individuals in the group, and extensive computation due to a large number of possible combinations of multiple biomarkers. To tackle these issues, we propose a pairwise model fitting approach to estimating the distribution of the optimal linear combination of biomarkers and its diagnostic accuracy under the assumption of a multivariate normal distribution. The approach is evaluated in simulation studies and applied to data on chlamydia detection and COVID‐19 diagnosis.
Effects of Ni Loadings on the Structure and Morphology of Carbon Nanotubes Using Nickel Doped Iron Oxide Catalysts
Authors: Gul Habiba , Bilal Muhammad , Hussain Tasleem , Din Israf Ud , Mubashir Muhammad , Nasir Qazi 
Published: October 2024

AbstractIron oxide and their different doped iron oxide catalyst have been used for decades and are considered as efficient catalysts in several synthesis schemes including synthesis of carbon nanotubes. The iron oxide of the catalyst is abundant in nature, high catalytic activity at low over potentials, stability in basic media and low cost, making it environmentally and economically attractive. Nickel doped iron oxide catalyst have not been reported in the literature. Doping of nickel over iron oxide catalyst, different percentage 1 %, 5 %, 10 % and 20 % were done by impregnation method. The samples were characterized by X‐Ray powder Diffraction (XRD), Fourier‐Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscope (SEM), Energy Dispersive X‐ray (EDX) and Thermo Gravimetric Analysis (TGA). Nickel doped iron oxide was used as catalyst for the synthesis of carbon nanotubes (CNTs) and doping changed the morphology of carbon nanotube (CNTs). FTIR results confirmed the doping and presence of different functional groups. Chemical vapor deposition (CVD) was carried out for the synthesis of multiwall carbon nanotubes (MWCNTs) on nickel doped iron oxide catalyst for different percentage (1 %, 5 %, 10 % and 20 %) separately. CVD assembly was carried in tube furnace and the reaction was checked at two different temperature i.e 700 °C and 750 °C and using methane and compressed natural gas (CNG) as precursors. The catalyst was activated in the furnace at 800 °C for an hour. Methane and argon were used in proportion 2 : 1 inside the furnace. SEM showed formation of CNTs at 750 °C with CNG precursor. Formation of CNTs increased with increasing doping with this CNTs was confirmed by SEM.
Synthesis of para‐Carboxamidostilbene Derivatives as Antihyperglycemia Agents and Their In Silico ADMET and Molecular Docking Studies
Authors: Mahdi Babai , Abu Bakar Mohamad Hafizi , Che Omar Mohamad Tasyriq , Zahari Azeana , Ibrahim Mohammad. M. , Mikhaylov Andrey. A. , Azmi Mohamad Nurul 
Published: October 2024

AbstractIn this project, para‐carboxamidostilbene derivatives were synthesized using the Heck coupling reaction, confirmed through various analytical techniques such as FT‐IR, HRMS, and NMR analyses, and tested in vitro to evaluate their α‐amylase inhibitory activity. In silico molecular docking was employed to model the binding interactions of compounds with α‐amylase. Pharmacokinetic properties (ADME) and drug‐likeness were also examined. Structure activity relationship (SAR) analysis was conducted to establish the relationship between the chemical structure and α‐amylase inhibitory activity. The synthesized compounds exhibited significant α‐amylase inhibitory activity with IC50 values ranging from 15.0 to 37.5 µM in comparison with acarbose (IC50 = 30.2 ± 1.9 µM). Among them, compounds 6d–6f and 7c–7f demonstrated promising inhibitory activity. Furthermore, molecular docking studies revealed strong interactions between the studied molecules and the α‐amylase binding pocket. The drug‐likeness prediction results indicated that all synthesized compounds adhered to Lipinski's rule of five, suggesting their suitability as drug‐like molecules. Additionally, the assessment of ADMET properties indicated favorable absorption profiles, particularly in terms of human intestinal absorption (HIA). Overall, this study successfully identified several para‐carboxamidostilbene derivatives as potential α‐amylase inhibitors for the treatment of T2DM.
Enhanced Oxalic Acid Electroreduction Selectivity toward Glyoxylic Acid on Ti3+‐Self‐Doped TiO2 Nanotube Arrays
Authors: Wu Yukun , Ullah Siraj , Hu Shuozhen , Zhang Xinsheng 
Published: October 2024

AbstractElectroreduction of oxalic acid (OX) to glyoxylic acid (GO) is an extremely important and promising application in organic electrosynthesis. Pb cathodes, which exhibits good selectivity, need to be replace due to the severe deactivation and harmful to the environment. Herein, self‐doped titanium dioxide nanotube arrays (H‐TiO2NTs‐2) are synthesized as an alternative cathode for OX electroreduction to GO. Benefiting from two‐step anodization, the synthesized nanotube arrays are highly ordered with oriented openings. The ordered structure promotes the mass transfer of both OX and GO to ensure efficiently providing OX reactants for the diffusion‐controlled OX electroreduction and removal of GO products from the electrode to prevent the over‐reduction to glycolic acid. Additionally, the electroreduction treatment introduces more Ti3+ active sites and modulates the conduction band position of H‐TiO2NTs‐2, thereby enhancing the reduction driving force. Owing to the unique structural advantages, the Faraday efficiency of generating GO from OX reaches up to 81.3 % in an oxalic acid saturated electrolyte at 20 °C with a current density of 1500 A m−2. This designed H‐TiO2NTs‐2 holds broad application prospects in OX electroreduction.
Green Synthesis of Silver Nanoparticles from Abelmoschus esculentus (Okra) Calyx Wastes as a Promising Anthelmintic Agent Against Poultry Pathogen Raillietina spp.
Authors: Majumdar Rima , Kumar Kar Pradip 
Published: October 2024

AbstractIn this study, we explore the synthesis of silver nanoparticles (AgNPs) using calyx wastes from Abelmoschus esculentus (okra) and evaluate their anthelmintic potential against poultry pathogen Raillietina spp. The ultraviolet‐visible (UV‐vis) spectrum of nanoparticles showed an absorbance peak at 425 nm, confirming AgNP formation. Fourier transform infrared spectrophotometry (FTIR) analysis indicated the presence of functional groups responsible for reducing silver ions, and X‐ray diffraction (XRD) patterns confirmed the crystallinity of the nanoparticles. Dynamic light scattering (DLS), scanning and transmission electron microscopy (SEM and TEM) analyses were used to measure the size (20–50 nm) and morphology (spherical) of the synthesized AgNPs. The dose‐dependent in vitro anthelmintic efficacy was highest at 125 μg/ml of AgNPs, resulting in paralysis and death within 0.54 and 1.29 hours, respectively, while untreated control parasites survived for ~72 hours. The SEM micrographs of the treated parasites showed swelling and blebbing of the tegument. Histochemical localization studies showed a remarkable decline of tegumental and neurotransmitter enzymes involved with the parasite's metabolism and regulation of the endogenous physiological processes. This study underscores the potential of okra calyces in the green synthesis of AgNPs and provides a novel approach to developing alternative anthelmintics that interfere with the host‐parasite interface.
Photoactivated Hydrogel Therapeutic System with MXene‐Based Nanoarchitectonics Potentiates Endogenous Bone Repair Through Reshaping the Osteo‐Vascularization Network
Authors: Wu Minhao , Zhang Yufeng , Zhao Yanfang , Chu Liuxi , Meng Xiaolei , Ye Luyang , Li Xiaokun , Wang Zhouguang , Wu Ping 
Published: October 2024

AbstractThe repair and reconstruction of large‐scale bone defects face enormous challenges because of the failure to reconstruct the osteo‐vascularization network. Herein, a near‐infrared (NIR) light‐responsive hydrogel system is reported to achieve programmed tissue repair and regeneration through the synergetic effects of on‐demand drug delivery and mild heat stimulation. The spatiotemporal hydrogel system (HG/MPa) composed of polydopamine‐coated Ti3C2Tx MXene (MP) nanosheets decorated with acidic fibroblast growth factor (aFGF, a potent angiogenic drug) and hydroxypropyl chitosan/gelatin (HG) hydrogel is developed to orchestrate the reconstruction of the osteo‐vascularization network and boost bone regeneration. Upon exposure to NIR light irradiation, the engineered HG/MPa hydrogel can achieve the initial complete release of aFGF to induce rapid angiogenesis and provide sufficient blood supply, maximizing its biofunction in the defect area. This integrated hydrogel system demonstrated good therapeutic efficacy in promoting cell adhesion, proliferation, migration, angiogenesis, and osteogenic differentiation through periodic NIR irradiation. In vivo, animal experiments further revealed that the spatiotemporalized hydrogel platform synergized with mild photothermal treatment significantly accelerated critical‐sized bone defect healing by increasing the osteo‐vascularization network density, recruiting endogenous stem cells, and facilitating the production of osteogenesis/angiogenesis‐related factors. Overall, smart‐responsive hydrogel could enhance the reconstruction of the osteo‐vascularization network in bone regeneration.
Postoperative Injection of a Triptolide‐Preloaded Hydrogel Prevents the Recurrence of Glioblastoma by Dual‐Pathway Activation of Ferroptosis
Authors: Wu Hongshuai , Cao Pingping , Wang Haiyang , Wang Wenhong , Yu Hanyang , You Chaoqun , Shen Tianqi , Yang Suisui , Hu Ziyi , Zhou Tingting , Wang Jing , Wang Qianghu , Qian Xu , Zhang Junxia , Wang Xiuxing , Cao Yuandong , Ning Like , Lin Fan 
Published: October 2024

AbstractGlioblastoma (GBM) recurrence leads to high mortality, which remains a major concern in clinical therapy. Herein, an injectable triptolide (TP)‐preloaded hydrogel (TP@DNH) accompanied by a postoperative injection strategy is developed to prevent the recurrence of GBM. With a potential inhibitor of the NRF2/SLC7A11/GPX4 axis, it is demonstrated that TP can deactivate glutathione peroxidase 4 (GPX4) from the source of glutathione (GSH) biosynthesis, thereby activating ferroptosis in GBM cells by blocking the neutralization of intracellular lipid peroxide (LPO). Based on acid‐sensitive Fe3+/tannic acid (TA) metal‐phenolic networks (MPNs), the TP@DNH hydrogel can induce the effective generation of reactive oxygen species (ROS) through Fe3+/TA‐mediated Fenton reaction and achieve controllable release of TP in resected GBM cavity. Due to ROS generation and GPX4 deactivation, postoperative injection of TP@DNH can achieve high‐level ferroptosis through dual‐pathway LPO accumulation, remarkably suppressing the growth of recurrent GBM and prolonging the overall survival in orthotopic GBM relapse mouse model. This work provides an alternative paradigm for regulating ferroptosis in the postoperative treatment of GBM.
Surface Regulation via Carboxylate Polymer for Efficient and Stable CsPbI2Br Perovskite Solar Cells
Authors: Zhang Weilin , Duan Chen , Du Mengzhen , Cai Zhichao , Cong Peiqing , Li Cong , Xue Tangyue , Du Jimin , Guo Qiang , Zhou Erjun 
Published: October 2024

AbstractCsPbI2Br perovskite solar cell (PSC) is a promising candidate for high‐efficiency single‐junction and tandem solar cells. However, due to the numerous surface defects of the CsPbI2Br film and the mismatch of energy levels at the CsPbI2Br/charge transport layer interface, the power conversion efficiency (PCE) of CsPbI2Br PSC is still significantly lower than the theoretical limits. To alleviate those issues, in this work, a carboxylate‐based p‐type polymer, TTC‐Cl, is employed to modify the surface of CsPbI2Br layer. TTC‐Cl can interact with uncoordinated Pb2+, thereby mitigating surficial defects of CsPbI2Br film and reducing non‐radiative recombination losses. Furthermore, TTC‐Cl also improves the band properties of the CsPbI2Br thin film surface, rendering it more p‐type, which facilitates hole transport. Consequently, the CsPbI2Br PSCs with TTC‐Cl modification achieve a remarkable PCE of 17.81%, which is notably higher than that of counterpart without TTC‐Cl (15.87%). Moreover, CsPbI2Br PSCs with TTC‐Cl modification also exhibit better stability. This work highlights the importance of surface regulation via carboxylate polymer for further enhancing the performance of CsPbI2Br PSCs.
A simplified procedure for seismic collapse probability assessment of RC frame buildings
Authors: Koopaee Mohammad E. , Dhakal Rajesh P. 
Published: October 2024

AbstractThis paper presents a procedure for simplified collapse probability prediction of RC frame buildings when subjected to ground motion intensities commonly used in designing buildings. For this purpose, seismic collapse probability of a range of RC moment resisting frame buildings are assessed at the design basis earthquake (DBE) and the maximum considered earthquake (MCE) levels of seismic intensity by conducting more than a thousand nonlinear response history analyses (NRHA) using a suite of 40 seismic ground motion records. The 13 buildings included in the investigation have different heights (5–15 storeys) and footprints (3–6 bays), are designed to different target maximum inter‐storey drifts (within the code specified limit), and have critical members detailed to sustain different levels of confinement and anti‐buckling demands. The NRHA results consistently demonstrate that the design inter‐storey drift and the anti‐buckling detailing of longitudinal rebars in the critical frame members strongly influence the collapse probability of RC frame buildings. The results also show that while RC frame buildings designed to reach 2.5% (or less) inter‐storey drifts and detailed for ductile seismic performance can successfully avoid collapse at DBE, avoidance of collapse at DBE cannot be guaranteed if RC frames are designed to reach a target drift of more than 2% and not detailed for full ductility. At MCE, collapse probability is found to consistently exceed 10% unless the building is designed to incur no more than 1% plastic drift and the frame members have ductile detailing. Based on the NRHA results of the 13 case study buildings, easy‐to‐use equations relating their seismic collapse probability at MCE with the design drift and a quantifiable measure of ductile detailing are generated and validated by comparing with the collapse probability obtained by NRHA of an independent RC frame building. The proposed equations provide a rapid, yet reasonably reliable tool for performance‐based seismic design of RC frame buildings, and enable designers to estimate seismic collapse probability of RC frame buildings without having to conduct cumbersome NRHA.
Estimating soil moisture from environmental gamma radiation monitoring data
Authors: Akter Sonia , Huisman Johan Alexander , Bogena Heye Reemt 
Published: October 2024

AbstractSoil moisture (SM) information is invaluable for a wide range of applications, including weather forecasting, hydrological and land surface modeling, and agricultural production. However, there is still a lack of sensing information that adequately represents root‐zone SM for longer periods and larger spatial scales. One option for root‐zone SM observation is terrestrial gamma radiation (TGR), as it is inversely related to SM. Hence, the near real‐time data of more than 5000 environmental gamma radiation (EGR) monitoring stations archived by the EUropean Radiological Data Exchange Platform (EURDEP) is a potential source to develop a root‐zone SM product for Europe without extra investments in SM sensors. This study aims to investigate to what extent the EURDEP data can be used for SM estimation. For this, two EGR monitoring stations were equipped with in situ SM sensors to measure reference SM. The terrestrial component of EGR was extracted after eliminating the contributions of rain washout and secondary cosmic radiation, and used to obtain a functional relationship with SM. We predicted the weekly volumetric SM with a root mean square error of 7%–9% from TGR measurements. Nevertheless, we believe that this technique, due to its greater penetration depth and long data legacy, can provide useful data complementary to satellite‐based remote sensing techniques to estimate root‐zone SM at the continental scale.
Tissue derivatization for visualizing lactate and pyruvate in mouse testis tissues using matrix-assisted laser desorption/ionization-mass spectrometry imaging
Authors: Nagano Erika , Odake Kazuki , Shimma Shuichi 
Published: October 2024

AbstractPyruvate and lactate are the final metabolites of the glycolytic system that are formed under oxygen-rich and anaerobic conditions, respectively. They play an important role in energy metabolism. Obtaining a tissue distribution image of pyruvate and lactate holds great significance in molecular biology because the glycolytic system plays an essential role in diseases, such as tumors and diabetes; microbial activities, such as alcohol production and lactic acid fermentation; and maintaining homeostasis in the gut environment. However, it is difficult to obtain images of the distribution of in vivo metabolites because of the low detection sensitivities of current methods. In this study, a novel derivatization method for pyruvate and lactate was developed using matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) to detect pyruvate and lactate in vivo and obtain biodistribution images. We investigated derivatization methods using readily available 3-nitrophenylhydrazine (3NPH), the addition of which improves the sensitivity of pyruvate detection, and the distribution of pyruvate in mouse testes was successfully visualized. Furthermore, the distribution of lactate in the mouse testes could be visualized, and improved detection sensitivity for the main metabolites of the tricarboxylic acid cycle was demonstrated. This derivatization method can be used to detect carboxyl-containing metabolites, including pyruvate, via MALDI-MSI. Furthermore, 3NPH forms amide bonds with carbonyl, phosphate, and carboxyl groups, suggesting the possibility of visualizing its distribution in many metabolites.
Graphical Abstract