bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low‐frequency rTMS induces modifications in cortical structural connectivity ‐ functional connectivity coupling in schizophrenia patients with auditory verbal hallucinations
Authors: Xie Yuanjun , Li Chenxi , Guan Muzhen , Zhang Tian , Ma Chaozong , Wang Zhongheng , Ma Zhujing , Wang Huaning , Fang Peng 
Published: February 2024

AbstractAuditory verbal hallucinations (AVH) are distinctive clinical manifestations of schizophrenia. While low‐frequency repetitive transcranial magnetic stimulation (rTMS) has demonstrated potential in mitigating AVH, the precise mechanisms by which it operates remain obscure. This study aimed to investigate alternations in structural connectivity and functional connectivity (SC‐FC) coupling among schizophrenia patients with AVH prior to and following treatment with 1 Hz rTMS that specifically targets the left temporoparietal junction. Initially, patients exhibited significantly reduced macroscopic whole brain level SC‐FC coupling compared to healthy controls. Notably, SC‐FC coupling increased significantly across multiple networks, including the somatomotor, dorsal attention, ventral attention, frontoparietal control, and default mode networks, following rTMS treatment. Significant alternations in SC‐FC coupling were noted in critical nodes comprising the somatomotor network and the default mode network, such as the precentral gyrus and the ventromedial prefrontal cortex, respectively. The alternations in SC‐FC coupling exhibited a correlation with the amelioration of clinical symptom. The results of our study illuminate the intricate relationship between white matter structures and neuronal activity in patients who are receiving low‐frequency rTMS. This advances our understanding of the foundational mechanisms underlying rTMS treatment for AVH.
Exosomal miR‐93 derived from hepatocellular carcinoma cell promotes the sorafenib resistance of hepatocellular carcinoma through PTEN/PI3K/Akt pathway
Authors: Bao Yuanpeng , Xu Song , Zhou Junjing , Zhao Chongyong , Dai Saimin , Zhang Yong , Rao Min 
Published: February 2024

AbstractExosomal microRNAs (miRNAs) derived from cancer cell is an important regulatory molecule that mediates the formation of tumor drug resistance, but function and mechanisms of exosomal miRNA in sorafenib resistance of hepatocellular carcinoma (HCC) have not been studied. We detected the level and prognosis of miR‐93 in HCC by using TCGA HCC database. For confirming the extracted exosome, transmission electron microscopy was used. Cy3‐labeled miR‐93 and quantitative reverse transcription‐polymerase chain reaction were used to prove that exosomal miR‐93 derived from HCC cell can be transferred to sensitive HCC cells. CCK8, EdU, and flow cytometer assay were used to confirm the function of exosomal miR‐93 in sorafenib resistance of HCC. Bioinformatics software and luciferase reporter assay was used to confirm the direct targeting relationship between PTEN and miR‐93. Western blot was used to validate downstream pathways. We found that miR‐93 is overexpressed and a prognostic risk factor for the HCC patients. miR‐93 was overexpressed in sorafenib resistant HCC cells compared with sensitive cells, and miR‐93 contributed to sorafenib resistance of HCC cells through targeting PTEN. miR‐93 was enriched in exosomes that secreted from sorafenib resistant cells, and these exosomal miR‐93 promote the spread of sorafenib resistant through targeting PTEN to reactivate PI3K/AKT pathway. Therefore, miR‐93 can act as a potential therapeutic target for advanced patients with acquired sorafenib resistance.
Potential energy surfaces and dynamic properties via ab initio composite and density functional approaches
Authors: Patel Prajay , Chung Joseph , Bowman Max Aksel , Ulusoy Inga , Wilson Angela K. 
Published: February 2024

AbstractVibrational spectroscopy enables critical insight into the structural and dynamic properties of molecules. Presently, the majority of theoretical approaches to spectroscopy employ wavefunction‐based ab initio or density functional methods that rely on the harmonic approximation. This approximation breaks down for large molecules with strongly anharmonic bonds or for molecules with large internuclear separations. An alternative to these methods involves generating molecular anharmonic potential energy surfaces (potentials) and using them to extrapolate the vibrational frequencies. This study examines the efficacy of density functional theory (DFT) and the correlation consistent Composite Approach (ccCA) in generating anharmonic frequencies from potentials of small main group molecules. Vibrational self‐consistent field Theory (VSCF) and post‐VSCF methods were used to calculate the fundamental frequencies of these molecules from their potentials. Functional choice, basis set selection, and mode‐coupling are also examined as factors in influencing accuracy. The absolute deviations for the calculated frequencies using potentials at the ccCA level of theory were lower than the potentials at the DFT level. With DFT resulting in bending modes that are better described than those of ccCA, a multilevel DFT:ccCA approach where DFT potentials are used for single vibrational mode potentials and ccCA is used for vibrational mode‐mode couplings can be utilized for larger polyatomic systems. The frequencies obtained with this multilevel approach using VCIPSI‐PT2 were closer to experimental frequencies than the scaled harmonic frequencies, indicating the success of utilizing post‐VSCF methods to generate more accurate representations of computed infrared spectra.
Targeting TAOK1 with resveratrol inhibits esophageal squamous cell carcinoma growth in vitro and in vivo
Authors: Song Mengqiu , Qu Yingzi , Jia Huajie , Zhang Yunqing , Liu Shihui , Laster Kyle Vaughn , Choi Bu Young , Tian Jie , Gu Tingxuan , Chen Hanyong , Liu Kangdong , Lee Mee‐Hyun , Dong Zigang 
Published: February 2024

AbstractThe worldwide incidence and mortality rates of esophageal squamous cell carcinoma (ESCC) have increased over the last decade. Moreover, molecular targets that may benefit the therapeutics of patients with ESCC have not been fully characterized. Our study discovered that thousand and one amino‐acid protein kinase 1 (TAOK1) is highly expressed in ESCC tumor tissues and cell lines. Knock‐down of TAOK1 suppresses ESCC cell proliferation in vitro and patient‐derived xenograft or cell‐derived xenograft tumors growth in vivo. Moreover, TAOK1 overexpression promotes ESCC growth in vitro and in vivo. Additionally, we identified that the natural small molecular compound resveratrol binds to TAOK1 directly and diminishes the kinase activity of TAOK1. Targeting TAOK1 directly with resveratrol significantly inhibits cell proliferation, induces cell cycle arrest and apoptosis, and suppresses tumor growth in ESCC. Furthermore, the silencing of TAOK1 or the application of resveratrol attenuated the activation of TAOK1 downstream signaling effectors. Interestingly, combining resveratrol with paclitaxel, cisplatin, or 5‐fluorouracil synergistically enhanced their therapeutic effects against ESCC. In conclusion, this work illustrates the underlying oncogenic function of TAOK1 and provides a theoretical basis for the application of targeting TAOK1 therapy to the clinical treatment of ESCC.
Creating uniform cluster dose spread‐out Bragg peaks for proton and carbon beams
Authors: Ortiz Ramon , Faddegon Bruce 
Published: February 2024

AbstractBackgroundPreliminary data have shown a close association of the generalized ionization cluster size dose (in short, cluster dose) with cell survival, independent of particle type, and energy, when cluster dose is derived from an ionization detail parameter preferred for its association with cell survival. Such results suggest cluster dose has the potential to replace RBE‐weighted dose in proton and ion beam radiotherapy treatment plan optimization, should a uniform cluster dose lead to comparable biological effects. However, further preclinical investigations are warranted to confirm this premise.PurposeTo present an analytical approach to create uniform cluster dose spread‐out Bragg peaks (SOBP) for evaluation of the potential of cluster dose to result in uniform biological effect.MethodsWe modified the coefficients of the Bortfeld and Schlegel weight formula, an analytical method typically used for the creation of radiation dose SOBP in particle therapy, to produce uniform cluster dose SOBP of different widths (1–5 cm) at relevant clinical proton and carbon beam energies. Optimum parameters were found by minimization of the ratio between the maximum and minimum cluster dose in the SOBP region using the Nelder–Mead method.ResultsThe coefficients of the Bortfeld and Schlegel weight formula leading to uniform cluster dose SOBPs were determined for each combination of beam energy and SOBP width studied. The uniformity of the resulting cluster dose SOBPs, calculated as the relative difference between the maximum and minimum cluster dose within the SOBP, was within 0.3%–3.5% for the evaluated proton beams and 1.3%–3.4% for the evaluated carbon beams.ConclusionsThe modifications to the analytical approach to create radiation dose SOBPs resulted in uniform cluster dose proton and carbon SOBPs over a wide range of beam energies and SOBP widths. Such SOBPs should prove valuable in preclinical investigations for the selection of nanodosimetric quantities to be used in proton and ion therapy treatment planning.
Modeling and coupling analysis of enhanced coalbed methane recovery by gas injection
Authors: Zhang Junxiang , Jiang Yanling , Li Bo , Guo Junjie , Lu Weiyong , Qu Lina 
Published: February 2024

AbstractEnhanced coalbed methane (ECBM) recovery by gas injection is regarded as a feasible method for ECBM recovery. To investigate the mechanism of CH4 displacement by N2 injection, a series of physical experiments were conducted in the laboratory under different N2 injection pressures. The experimental results showed a continuous increase in the N2 volume fraction and a decrease in the CH4 volume fraction with the N2 injection pressure. The CH4 displacement efficiency increases rapidly in the initial stage and then gradually stabilizes. Given the effect of matrix shrinkage and effective stress on coal permeability, a dynamic multi‐field coupling model of ECBM recovery by N2 injection (N2‐ECBM) was proposed in this work. Then, numerical simulations were implemented by the coupling model to analyze the key factors affecting coal permeability, N2 injection pressure and CH4 pressure during the N2–ECBM process. Furthermore, the Response Surface Methodology (RSM) was used to investigate the interactions of multiple factors, the results reveal that an increase in one factor would weaken the influence of another factor. In addition, a RSM regression model was obtained and verified by the experimental data, with a well‐fitting outcomes. Therefore, the RSM model can be used in practical engineering applications to optimize specific extraction parameters for ECBM recovery at minimum cost in a limited extraction period.
Ultraviolet Light‐Assisted Decontamination of Chemical Warfare Agent Simulant 2‐Chloroethyl Phenyl Sulfide on Metal‐Loaded TiO2/Ti Surfaces
Authors: Jang Hye Ji. , Yun Gaeun , Shim Huieun , Hwang Seon Young , Kim So Young , Kim Jeongkwon , Jung Heesoo , Khan Mohammad Mansoob , Sohn Youngku 
Published: February 2024

AbstractThe application of ultraviolet (UV) light for the decontamination of chemical warfare agents (CWAs) has gained recognition as an effective method, especially for treating hard‐to‐reach areas where wet chemical methods are impractical. In this study, TiO2/Ti was employed as a model catalyst, which was contaminated with 2‐chloroethyl phenyl sulfide (CEPS), and subjected to photocatalytic decontamination using both UVB and UVC light. Additionally, photocatalytic decontamination efficiency by introducing Au, Pt, and Cu onto the TiO2/Ti surface was explored. During the photodecomposition process under UVC light, at least eight distinct secondary byproducts were identified. It was observed that the introduction of overlayer metals did not significantly enhance the photodecomposition under UVC light instead overlaid Au exhibited substantially improved activity under UVB light. Whereas, photodecomposition process under UVB light, only five secondary products were detected, including novel compounds with sulfoxide and sulfone functional groups. This novel study offers valuable insights into the generation of secondary products and sheds light on the roles of overlayer metals and photon wavelength in the photodecontamination process of CWA.
A comparison between laboratory‐scale and large‐scale high‐intensity washing of flexible polyethylene packaging waste
Authors: Boz Noyan Ezgi Ceren , Boldizar Antal 
Published: February 2024

AbstractSorted flexible polyethylene packaging waste was washed on a laboratory scale at both 25 and 40°C with water alone, with water and added NaOH, and with water and added detergent. The washed materials were then compounded using a twin‐screw extruder and injection molded. The results were compared with those for an unwashed and a large‐scale high‐intensity sample washed with NaOH at 70–80°C. An intensive washing combined with high temperature gave a lower extensibility both in the molten and solid states presumably because of a greater degradation of the recycled material. Washing with NaOH resulted in the lowest strain‐at‐break in both the melt and solid states, whereas washing with water alone or with a detergent gave similar strain‐at‐break levels. The melt strength, the stiffness and tensile strengths at room temperature, and the thermal properties were less affected by the washing procedure. Although the final properties seem to be useful in general there were still some trade‐offs between the washing condition and the degradation. While these results were expected, the influence of washing parameters on final product, for example, injection molded sample, has to our knowledge not been shown before especially regarding the mechanical properties.Highlights
Post‐consumer flexible polyethylene packaging waste was studied with a focus on washing conditions.
The influence of washing conditions on thermal, rheological, and mechanical properties of recycled samples was investigated.
High‐intensity washing at high temperature caused significant degradation of the material, this was to our understanding shown for the first time.
A fibrous scaffold for in vitro culture and experimental studies of Physcomitrium patens
Authors: Calcutt Ryan , Aghli Yasaman , Arinzeh Treena , Dixit Ram 
Published: February 2024

AbstractThe model moss, Physcomitrium patens, is routinely cultured on cellophane placed over a solid nutrient medium. While this culture method is convenient for moss propagation, it is not suitable for studying how topographical features and mechanical cues from the environment influence the growth and development of moss. Here, we show that P. patens can be grown on fibrous scaffolds consisting of nanoscale, randomly oriented fibers composed of polyvinylidene tri‐fluoroethylene (NRP). The moss adheres tightly to NRP in contrast to the lack of adhesion to cellophane. Adhesion to the scaffold is associated with slower tip growth of moss protonema for some time, followed by an increase in tip growth rate that is equivalent to that on cellophane. In addition, the orientation of the first subapical cell division plane differs between NRP‐grown and cellophane‐grown protonema. Nonetheless, moss colonies grown on NRP did not show signs of nutrient or photosynthetic stress and developed normal gametophores. Together, these data establish NRP as a suitable substrate for the culture of P. patens and to probe the influence of mechanical forces on tip growth and cell division of moss.
Optimising 3D printing parameters through experimental techniques and ANOVA‐Based statistical analysis
Authors: Naveed Nida , Anwar Muhammad Naveed 
Published: February 2024

AbstractAdditive manufacturing (AM) has revolutionized the manufacturing industry by enabling the fabrication of complex geometries and designs with ease. 3D printing—fused deposition modeling (FDM) has emerged as a prevalent technique, owing to its versatility and cost‐effectiveness. However, the FDM process is complex and depends on multiple parameters, which makes it challenging to obtain high‐quality and consistent 3D printed components. The purpose of this study is to simplify the printing process for users and potentially improve the overall quality and consistency of printed objects. This research delved into optimising 3D printing parameters, specifically raster orientation and in‐fill speed, for PLA material through three experimental studies. The mean effect of these parameters and the effects of their interaction through analysis of variance (ANOVA) on tensile properties were also discussed. Initial experiments identified the most suitable parameters and its optimal values for PLA, which were then applied to five different materials: PETG, PLA tough, Recycle PLA, Plain PLA, and ABS. Tensile tests assessed the printed parts, and scanning electron microscopy (SEM) was employed to analyze fracture interfaces and material failure causes. This study identified a raster of 45°/−45° and 30 mm/s infill speed as optimal for diverse 3D printing materials. Notably, ABS, PETG, and tough PLA exhibited better tensile strengths, surpassing manufacturer benchmarks. However, Plain PLA and Recycled PLA, despite lower tensile strengths, proved valuable for specific applications. Interestingly, all tested materials showed greater flexibility than manufacturer recommendations, suggesting their suitability in scenarios needing both strength and flexibility. This study's results offer promising avenues for refining 3D printing practices, to the advantage of all users. The findings from this study offer significant insights for future research to investigate the effect of other process parameters on the quality of 3D printed parts, leading to further advancements of AM.Highlights
Optimised 3D printing parameters.
Applicability of optimised settings extended across various materials.
ABS, PETG, and tough PLA exceeded manufacturer benchmarks in tensile strength.
Experimental and ANOVA findings are in good agreement, revealing significant process parameters.
Application of recombinase polymerase amplification with CRISPR/Cas12a and multienzyme isothermal rapid amplification with lateral flow dipstick assay for Bactrocera correcta
Authors: Li Weisong , Cai Bo , Chen Ranran , Cui Jianchen , Wang Hui , Li Zhihong 
Published: February 2024

AbstractBACKGROUNDBactrocera correcta is a quarantine pest that negatively impacts the fruit and vegetable industry. Differentiating B. correcta from similar species, especially in non‐adult stages, remains challenging. Rapid molecular identification techniques, such as recombinase polymerase amplification (RPA) combined with CRISPR/Cas12a and multienzyme isothermal rapid amplification with lateral flow dipstick (MIRA‐LFD), play a crucial role in early monitoring and safeguarding agricultural production. Our study introduces two methods for the rapid visual identification of B. correcta.RESULTSBactrocera correcta specific RPA primers, CRISPR RNA (crRNA), and the LFD probe were designed based on the cox1 genes. The RPA reaction conditions were optimized (at 37 °C for 8 min) for effective template DNA amplification. Two nucleic acid detection methods were established to visualize RPA. In the RPA‐CRISPR/Cas12a system, the optimal LbCas12a/crRNA concentration ratio was 200:400 nmol L−1. Successful amplification was determined by the presence or absence of green fluorescence following 15 min incubation at 37 °C. The MIRA‐LFD system achieved precise identification of the target species within 4 min at 37 °C. Both methods exhibited high specificity and sensitivity, allowing for detection from 1.0 × 10−1 ng μL−1 of DNA. Combined with rapid DNA extraction, rapid identification of individual B. correcta at different developmental stages was achieved, enhancing the practicality and convenience of the established methods.CONCLUSIONOur research findings demonstrate that both the RPA‐CRISPR/Cas12a and MIRA‐LFD methods for B. correcta detection was accurate and rapid (within 30 min and 10 min, respectively), at 37 °C. Our methods do not rely on expensive equipment, thus possess high practical value, providing improved identification solutions for port quarantine pests and field applications. © 2024 Society of Chemical Industry.
Coinfections in human papillomavirus associated cancers and prophylactic recommendations
Authors: Ashok Gayathri , Basu Soumya , Priyamvada Priyamvada , Anbarasu Anand , Chintala Sreenivasulu , Ramaiah Sudha 
Published: February 2024

AbstractThe Human Papillomavirus (HPV) infection is responsible for more than 80% of reported cervical cancer and other virus‐associated tumours. Although this global threat can be controlled using effective vaccination strategies, a growing perturbation of HPV infection is an emerging coinfection likely to increase the severity of the infection in humans. Moreover, these coinfections prolong the HPV infections, thereby risking the chances for oncogenic progression. The present review consolidated the clinically significant microbial coinfections/co‐presence associated with HPV and their underlying molecular mechanisms. We discussed the gaps and concerns associated with demography, present vaccination strategies, and other prophylactic limitations. We concluded our review by highlighting the potential clinical as well as emerging computational intervention measures to kerb down HPV‐associated severities.
Shear bearing capacity prediction of STRC shear walls using data‐augmented fusion model
Authors: Yang Guang‐chao , Zhang Ji‐gang , Ma Zhe‐hao , Xu Wei‐xiao , Zhao Guo‐liang , Song Han‐yu 
Published: February 2024

AbstractMachine learning (ML) accurately predicts the shear bearing capacity of steel tube‐reinforced concrete (STRC) shear walls, aiding optimization design. However, creating a database for STRC shear walls experimentally is time‐consuming and costly. The aim of this study is to propose a method for high‐accuracy prediction of STRC shear wall shear bearing capacity using a small‐sample dataset. This study employs generative adversarial network (GAN) data augmentation techniques to address the issues of insufficient ML model training and low prediction accuracy in small‐sample databases. Based on the stacking framework, a fusion model (Stacking‐XRL) combining extreme gradient boosting (XGBoost), random forest (RF), and least absolute shrinkage and selection operator (LASSO) is established to predict the shear bearing capacity of STRC shear walls. Results show that after augmenting the training set with GAN, the prediction performance of K‐nearest neighbors (KNN), backpropagation neural network (BPNN), RF, light gradient boosting machine (LightGBM), XGBoost, and stacking‐XRL models significantly improve, with average increases of 10% in R2 and average decreases of 30% and 25% in MAE and RMSE, respectively. The proposed stacking‐XRL fusion model outperforms tested models, existing formulas, and Abaqus numerical simulations for the shear bearing capacity of STRC shear walls. Model interpretation reveals that the shear span ratios as the most important factors in predicting shear bearing capacity, followed by axial force ratio and whole section configuration steel tubular index.