bluuebunny/crossref_metadata_2025 huggingface dataset:
Ubiquitin specific peptidase 3: an emerging deubiquitinase that regulates physiology and diseases
Authors: Wang Yizhu , Shi Yanlong , Niu Kaiyi , Yang Rui , Lv Qingpeng , Zhang Wenning , Feng Kun , Zhang Yewei
Published: May 2024

Proteins are the keystone for the execution of various life activities, and the maintenance of protein normalization is crucial for organisms. Ubiquitination, as a post-transcriptional modification, is widely present in organisms, and it relies on the sophisticated ubiquitin-proteasome (UPS) system that controls protein quality and modulates protein lifespan. Deubiquitinases (DUBs) counteract ubiquitination and are essential for the maintenance of homeostasis. Ubiquitin specific peptidase 3 (USP3) is a member of the DUBs that has received increasing attention in recent years. USP3 is a novel chromatin modifier that tightly regulates the DNA damage response (DDR) and maintains genome integrity. Meanwhile, USP3 acts as a key regulator of inflammatory vesicles and sustains the normal operation of the innate immune system. In addition, USP3 is aberrantly expressed in a wide range of cancers, such as gastric cancer, glioblastoma and neuroblastoma, implicating that USP3 could be an effective target for targeted therapies. In this review, we retrace all the current researches of USP3, describe the structure of USP3, elucidate its functions in DNA damage, immune and inflammatory responses and the cell cycle, and summarize the important role of USP3 in multiple cancers and diseases.
Ultrastable and flexible glass−ceramic scintillation films with reduced light scattering for efficient X−ray imaging
Authors: Li Ruizi , Zhu Weiguo , Wang Haoyang , Jiao Yitong , Gao Yuan , Gao Ruikun , Wang Riheng , Chao Hongxiao , Yu Aimin , Liu Xiaowang
Published: May 2024

The thickness of the scintillation films in indirect X−ray detectors can significantly influence their luminescence intensity. However, due to the scattering and attenuation of incoherent photons, thick scintillation films tend to reduce light yield. Herein, a highly transparent perovskite glass−ceramic scintillation film, in which the CsPbBr3 nanocrystals are in-situ grown inside a transparent amorphous polymer structure, is designed to achieve ultrastable and efficient X-ray imaging. The crystal coordination−topology growth and in−situ film formation strategy is proposed to control the crystal growth and film thickness, which can prevent light scattering and non−uniform distribution of CsPbBr3 nanocrystals while providing sufficient film thickness to absorb X−ray, thus enabling a high−quality glass−ceramic scintillator without agglomeration and Ostwald ripening. This glass−ceramic scintillation film with a thickness of 250 μm achieves a low detection limit of 326 nGyair s−1 and a high spatial resolution of 13.9 lp mm−1. More importantly, it displays remarkable scintillation stability under X−ray irradiation (radiation intensity can still reach 95% at 278 μGyair s−1 for 3600 s), water soaking (150 days), and high−temperature storage (150 days at 60 °C). Hence, this work presents a approach to construct ultrastable and flexible scintillation films for X−ray imaging with reduced light scattering and improved resolution.
An active learning framework for the rapid assessment of galvanic corrosion
Authors: Venkatraman Aditya , Katona Ryan Michael , Maestas Demitri , Roop Matthew , Noell Philip , Montes de Oca Zapiain David
Published: May 2024

The current present in a galvanic couple can define its resistance or susceptibility to corrosion. However, as the current is dependent upon environmental, material, and geometrical parameters it is experimentally costly to measure. To reduce these costs, Finite Element (FE) simulations can be used to assess the cathodic current but also require experimental inputs to define boundary conditions. Due to these challenges, it is crucial to accelerate predictions and accurately predict the current output for different environments and geometries representative of in-service conditions. Machine learned surrogate models provides a means to accelerate corrosion predictions. However, a one-time cost is incurred in procuring the simulation and experimental dataset necessary to calibrate the surrogate model. Therefore, an active learning protocol is developed through calibration of a low-cost surrogate model for the cathodic current of an exemplar galvanic couple (AA7075-SS304) as a function of environmental and geometric parameters. The surrogate model is calibrated on a dataset of FE simulations, and calculates an acquisition function that identifies specific additional inputs with the maximum potential to improve the current predictions. This is accomplished through a staggered workflow that not only improves and refines prediction, but identifies the points at which the most information is gained, thus enabling expansion to a larger parameter space. The protocols developed and demonstrated in this work provide a powerful tool for screening various forms of corrosion under in-service conditions.
ATOMIX benchmark datasets for dissipation rate measurements using shear probes
Authors: Fer Ilker , Dengler Marcus , Holtermann Peter , Le Boyer Arnaud , Lueck Rolf
Published: May 2024

Turbulent mixing in the ocean, lakes and reservoirs facilitates the transport of momentum, heat, nutrients, and other passive tracers. Turbulent fluxes are proportional to the rate of turbulent kinetic energy dissipation per unit mass, ε. A common method for ε measurements is using microstructure profilers with shear probes. Such measurements are now widespread, and a non-expert practitioner will benefit from best practice guidelines and benchmark datasets. As a part of the Scientific Committee on Oceanographic Research (SCOR) working group on “Analysing ocean turbulence observations to quantify mixing” (ATOMIX), we compiled a collection of five benchmark data of ε from measurements of turbulence shear using shear probes. The datasets are processed using the ATOMIX recommendations for best practices documented separately. Here, we describe and validate the datasets. The benchmark collection is from different types of instruments and covers a wide range of environmental conditions. These datasets serve to guide the users to test their ε estimation methods and quality-assurance metrics, and to standardize their data for archiving.
Bayesian decision based fusion algorithm for remote sensing images
Authors: Wu Lei , Jiang Xunyan , Zhu Weihua , Huang Yulong , Liu Kai
Published: May 2024

Remote sensing image fusion is dedicated to obtain a high-resolution multispectral (HRMS) image without spatial or spectral distortion compared to the single source image. In this paper, a novel fusion algorithm based on Bayesian estimation for remote sensing images is proposed from the new perspective of risk decisions. In this study, an observation model based on Bayesian estimation for remote sensing image fusion is constructed. Three categories of probabilities including prior, conditional and posterior probabilities are calculated after an intensity-hue-saturation (IHS) transformation is applied to the original low-resolution MS image. To obtain the desired HRMS image, with the corrected posterior probability, a fusion rule based on Bayesian decisions is designed to estimate which pixels to select from the panchromatic (PAN) image and the intensity component of the MS image. The selected pixels constitute a new component that will participate in an IHS inverse transformation to yield the fused image. Extensive experiments were performed on the Pleiades, WorldView-3, and IKONOS datasets, and the results demonstrate the effectiveness of the proposed method.
Postponed endoscopic necrosectomy results in a lower rate of additional intervention for infected walled-off necrosis
Authors: Wu Songting , Dou Xiaotan , Li Na , Zhu Hao , Wang Lei , Liu Mingdong , Yu Chenggong
Published: May 2024

Although endoscopic necrosectomy (EN) is more frequently used to manage walled-off necrosis (WON), there is still debate over how much time should pass between the initial stent placement and the first necrosectomy. This study aims to determine the effect of performing EN within different timings after placing the initial stent on clinical outcomes for WON. A retrospective study on infected WON patients compared an early necrosectomy within one week after the initial stent placement with a necrosectomy that was postponed after a week. The primary outcomes compared the rate of clinical success and the need for additional intervention after EN to achieve WON resolution. 77 patients were divided into early and postponed necrosectomy groups. The complete resolution of WON within six months of follow-up was attained in 73.7% and 74.3% of patients in both the early and postponed groups. The early group tended to a greater need for additional intervention after EN (26.8% early necrosectomy vs. 8.3% postponed necrosectomy, P = 0.036). Our study does not demonstrate that early necrosectomy is superior to postponed necrosectomy in terms of clinical success rate, total count of necrosectomy procedures, procedure-related complications, length of hospitalization and prognosis. Conversely, patients in the postponed group received fewer additional interventions.
COVID‑19 detection from chest X-ray images using transfer learning
Authors: El Houby Enas M. F.
Published: May 2024

COVID-19 is a kind of coronavirus that appeared in China in the Province of Wuhan in December 2019. The most significant influence of this virus is its very highly contagious characteristic which may lead to death. The standard diagnosis of COVID-19 is based on swabs from the throat and nose, their sensitivity is not high enough and so they are prone to errors. Early diagnosis of COVID-19 disease is important to provide the chance of quick isolation of the suspected cases and to decrease the opportunity of infection in healthy people. In this research, a framework for chest X-ray image classification tasks based on deep learning is proposed to help in early diagnosis of COVID-19. The proposed framework contains two phases which are the pre-processing phase and classification phase which uses pre-trained convolution neural network models based on transfer learning. In the pre-processing phase, different image enhancements have been applied to full and segmented X-ray images to improve the classification performance of the CNN models. Two CNN pre-trained models have been used for classification which are VGG19 and EfficientNetB0. From experimental results, the best model achieved a sensitivity of 0.96, specificity of 0.94, precision of 0.9412, F1 score of 0.9505 and accuracy of 0.95 using enhanced full X-ray images for binary classification of chest X-ray images into COVID-19 or normal with VGG19. The proposed framework is promising and achieved a classification accuracy of 0.935 for 4-class classification.
Enantioselective synthesis, characterization, molecular docking simulation and ADMET profiling of α-alkylated carbonyl compounds as antimicrobial agents
Authors: Noser Ahmed A. , Ezzat Mariam , Mahmoud Shimaa G. , Selim Adel I. , Salem Maha M.
Published: May 2024

All living organisms produce only one enantiomer, so we found that all natural compounds are presented in enantiomerically pure form. Asymmetric synthesis is highly spread in medicinal chemistry because enantiomerically pure drugs are highly applicable. This study initially demonstrated the feasibility of a good idea for the asymmetric synthesis of α-alkylated carbonyl compounds with high enantiomeric purity ranging from 91 to 94% using different quinazolinone derivatives. The structure of all compounds was confirmed via elemental analysis and different spectroscopic data and the enantioselectivity was determined via HPLC using silica gel column. The synthesized compounds’ mode of action was investigated using molecular docking against the outer membrane protein A (OMPA) and exo-1,3-beta-glucanase, with interpreting their pharmacokinetics aspects. The results of the antimicrobial effectiveness of these compounds revealed that compound 6a has a broad biocidal activity and this in-vitro study was in line with the in-silico results. Overall, the formulated compound 6a can be employed as antimicrobial agent without any toxicity with high bioavailability in medical applications.
Surgical outcomes of robotic thyroidectomy for thyroid tumors over 4 cm via the bilateral axillo-breast approach
Authors: Bae Hye Lim , Wong Junice Shi-Hui , Kim Su-jin , Jung Younghoon , Choi Jae Bong , Kwak JungHak , Yu Hyeong Won , Chai Young Jun , Choi June Young , Lee Kyu Eun
Published: May 2024

The study investigated the feasibility of robotic bilateral axillo-breast approach (BABA) thyroidectomy for patients with thyroid tumors larger than 4 cm. BABA thyroidectomy has previously shown safety and effectiveness for thyroid surgeries but lacked extensive data on its application to larger tumors. Between October 2008 and August 2022, there were 74 patients underwent robotic BABA thyroidectomy due to thyroid nodules exceeding 4 cm in size. The mean patient age was 40.3 years. Fine needle aspiration results classified the tumors as benign (50.0%), atypia of undetermined significance (27.0%), follicular neoplasm (16.2%), suspicious for malignancy/malignancy (5.4%), or lymphoma (1.4%). The average tumor size was 4.9 cm, with the majority (85.1%) undergoing thyroid lobectomy, and the rest (14.9%) receiving total thyroidectomy. The mean total operation time was 178.4 min for lobectomy and 207.3 min for total thyroidectomy. Transient vocal cord palsy (VCP) was found in 3 patients (4.1%), and there was no permanent VCP. Among patients who underwent total thyroidectomy, transient hypoparathyroidism was observed in three (27.2%), and permanent hypoparathyroidism was observed in one (9.1%). There were no cases of open conversion, tumor spillage, bleeding, flap injury, or tumor recurrence. In conclusion, robotic BABA thyroidectomy may be a safe treatment option for large-sized thyroid tumors that carries no significant increase in complication rates.
Smart diabetic foot ulcer scoring system
Authors: Wang Zheng , Tan Xinyu , Xue Yang , Xiao Chen , Yue Kejuan , Lin Kaibin , Wang Chong , Zhou Qiuhong , Zhang Jianglin
Published: May 2024

Current assessment methods for diabetic foot ulcers (DFUs) lack objectivity and consistency, posing a significant risk to diabetes patients, including the potential for amputations, highlighting the urgent need for improved diagnostic tools and care standards in the field. To address this issue, the objective of this study was to develop and evaluate the Smart Diabetic Foot Ulcer Scoring System, ScoreDFUNet, which incorporates artificial intelligence (AI) and image analysis techniques, aiming to enhance the precision and consistency of diabetic foot ulcer assessment. ScoreDFUNet demonstrates precise categorization of DFU images into “ulcer,” “infection,” “normal,” and “gangrene” areas, achieving a noteworthy accuracy rate of 95.34% on the test set, with elevated levels of precision, recall, and F1 scores. Comparative evaluations with dermatologists affirm that our algorithm consistently surpasses the performance of junior and mid-level dermatologists, closely matching the assessments of senior dermatologists, and rigorous analyses including Bland–Altman plots and significance testing validate the robustness and reliability of our algorithm. This innovative AI system presents a valuable tool for healthcare professionals and can significantly improve the care standards in the field of diabetic foot ulcer assessment.
Regulatory flexibility and school climate moderate the relationship between stress exposure and depression severity in school educators
Authors: Nizri Hagit , Hemi Alla , Levy-Gigi Einat
Published: May 2024

School-related stress may impair the mental health and the ability of educators to function at school adaptively. According to the Conservation of Resources (COR) model, coping with stress is affected by internal personal resources and external interpersonal resources. The current study focused on regulatory flexibility as an internal personal resource and school climate as an external interpersonal resource. It tested their moderating role in the relationship between school-related stress exposure and depressive symptoms. 1530 educators participated in the study. The results revealed that school climate and regulatory flexibility play a significant role in determining the severity of depressive symptoms following stress exposure. Specifically, when either school climate and/or regulatory flexibility were low, there was a positive association between school-related stress exposure and depressive symptoms. Hence, greater exposure was associated with increased depressive symptoms. However, when both school climate and regulatory flexibility were higher, there were no associations between stress exposure and symptoms. Therefore, these educators showed significantly lower depressive symptoms independent of their stress exposure. The findings shed light on the importance of both internal and external resources in reducing the aversive effects of school-related stress. The study may pave the way to developing tailored interventions to reduce depressive symptoms and enhance well-being in educators.
Short- and long-term outcomes of pulmonary exposure to a sublethal dose of ricin in mice
Authors: Sapoznikov Anita , Evgy Yentl , Ben-Shmuel Amir , Schwartz Arieh , Alcalay Ron , Aftalion Moshe , Ben David Alon , Erez Noam , Falach Reut
Published: May 2024

Ricin, an extremely potent toxin produced from the seeds of castor plant, Ricinus communis, is ribosome-inactivating protein that blocks cell-protein synthesis. It is considered a biological threat due to worldwide availability of castor beans, massive quantities as a by-product of castor oil production, high stability and ease of production. The consequence of exposure to lethal dose of ricin was extensively described in various animal models. However, it is assumed that in case of aerosolized ricin bioterror attack, the majority of individuals would be exposed to sublethal doses rather than to lethal ones. Therefore, the purpose of current study was to assess short- and long-term effects on physiological parameters and function following sublethal pulmonary exposure. We show that in the short-term, sublethal exposure of mice to ricin resulted in acute lung injury, including interstitial pneumonia, cytokine storm, neutrophil influx, edema and cellular death. This damage was manifested in reduced lung performance and physiological function. Interestingly, although in the long-term, mice recovered from acute lung damage and restored pulmonary and physiological functionality, the reparative process was associated with lasting fibrotic lesions. Therefore, restriction of short-term acute phase of the disease and management of long-term pulmonary fibrosis by medical countermeasures is expected to facilitate the quality of life of exposed survivors.
Wireless wearable potentiometric sensor for simultaneous determination of pH, sodium and potassium in human sweat
Authors: Jalal Nahid Rezvani , Madrakian Tayyebeh , Ahmadi Mazaher , Afkhami Abbas , Khalili Sina , Bahrami Morteza , Roshanaei Majid
Published: May 2024

This paper reports on the development of a flexible-wearable potentiometric sensor for real-time monitoring of sodium ion (Na+), potassium ion (K+), and pH in human sweat. Na0.44MnO2, polyaniline, and K2Co[Fe(CN)6] were used as sensing materials for Na+, H+ and K+ monitoring, respectively. The simultaneous potentiometric Na+, K+, and pH sensing were carried out by the developed sensor, which enables signal collection and transmission in real-time to the smartphone via a Wi-Fi access point. Then, the potentiometric responses were evaluated by a designed android application. Na+, K+, and pH sensors illustrated high sensitivity (59.7 ± 0.8 mV/decade for Na+, 57.8 ± 0.9 mV/decade for K+, and 54.7 ± 0.6 mV/pH for pH), excellent stability, and good batch-to-batch reproducibility. The results of on-body experiments demonstrated that the proposed platform is capable of real-time monitoring of the investigated ions.
Physiotherapeutic and non-conventional approaches in patients with chronic low-back pain: a level I Bayesian network meta-analysis
Authors: Baroncini Alice , Maffulli Nicola , Schäfer Luise , Manocchio Nicola , Bossa Michela , Foti Calogero , Klimuch Alexandra , Migliorini Filippo
Published: May 2024

Chronic low back pain (cLBP) is a major cause of disability and healthcare expenditure worldwide. Its prevalence is increasing globally from somatic and psychosocial factors. While non-pharmacological management, and in particular physiotherapy, has been recommended as a first-line treatment for cLBP, it is not clear what type of physiotherapeutic approach is the most effective in terms of pain reduction and function improvement. This analysis is rendered more difficult by the vast number of available therapies and a lack of a widely accepted classification that can effectively highlight the differences in the outcomes of different management options. This study was conducted according to the PRISMA guidelines. In January 2024, the following databases were accessed: PubMed, Web of Science, Google Scholar, and Embase. All the randomised controlled trials (RCTs) which compared the efficacy of physiotherapy programs in patients with cLBP were accessed. Studies reporting on non-specific or mechanical cLPB were included. Data concerning the Visual Analogic Scale (VAS) or numeric rating scale (NRS), Roland Morris Disability Questionnaire (RMQ) and Oswestry Disability Index (ODI). Data from 12,773 patients were collected. The mean symptom duration was 61.2 ± 51.0 months and the mean follow-up was 4.3 ± 5.9 months. The mean age was 44.5 ± 9.4 years. The mean BMI was 25.8 ± 2.9 kg/m2. The Adapted Physical Exercise group evidenced the lowest pain score, followed by Multidisciplinary and Adapted Training Exercise/Complementary Medicine. The Adapted Physical Exercise group evidenced the lowest RMQ score followed by Therapeutic Exercises and Multidisciplinary. The Multidisciplinary group evidenced the lowest ODI score, followed by Adapted Physical Exercise and Physical Agent modalities. Within the considered physiotherapeutic and non-conventional approaches to manage nonspecific and/or mechanic cLBP, adapted physical exercise, physical agent modalities, and a multidisciplinary approach might represent the most effective strategy to reduce pain and disability.
Anxiolytic effects of Enterococcus faecalis 2001 on a mouse model of colitis
Authors: Takahashi Kohei , Tsuji Minoru , Nakagawasai Osamu , Miyagawa Kazuya , Kurokawa Kazuhiro , Mochida-Saito Atsumi , Iwasa Masahiro , Iwasa Hiroyuki , Suzuki Shigeo , Takeda Hiroshi , Tadano Takeshi
Published: May 2024

Ulcerative colitis (UC) is a refractory inflammatory bowel disease, which is known to cause psychiatric disorders such as anxiety and depression at a high rate in addition to peripheral inflammatory symptoms. However, the pathogenesis of these psychiatric disorders remains mostly unknown. While prior research revealed that the Enterococcus faecalis 2001 (EF-2001) suppressed UC-like symptoms and accompanying depressive-like behaviors, observed in a UC model using dextran sulfate sodium (DSS), whether it has an anxiolytic effect remains unclear. Therefore, we examined whether EF-2001 attenuates DSS-induced anxiety-like behaviors. Treatment with 2% DSS for seven days induced UC-like symptoms and anxiety-like behavior through the hole-board test, increased serum lipopolysaccharide (LPS) and corticosterone concentration, and p-glucocorticoid receptor (GR) in the prefrontal cortex (PFC), and decreased N-methyl-d-aspartate receptor subunit (NR) 2A and NR2B expression levels in the PFC. Interestingly, these changes were reversed by EF-2001 administration. Further, EF-2001 administration enhanced CAMKII/CREB/BDNF-Drebrin pathways in the PFC of DSS-treated mice, and labeling of p-GR, p-CAMKII, and p-CREB showed colocalization with neurons. EF-2001 attenuated anxiety-like behavior by reducing serum LPS and corticosterone levels linked to the improvement of UC symptoms and by facilitating the CAMKII/CREB/BDNF-Drebrin pathways in the PFC. Our findings suggest a close relationship between UC and anxiety.
Identification of blood exosomal metabolomic profiling for high-altitude cerebral edema
Authors: Tang Quan , Fan Fangcheng , Chen Lei , Chen Yuewen , Yuan Lin , Wang Lili , Xu Huan , Zhang Yan , Cheng Yong
Published: May 2024

High-altitude cerebral edema (HACE) is a severe neurological condition that can occur at high altitudes. It is characterized by the accumulation of fluid in the brain, leading to a range of symptoms, including severe headache, confusion, loss of coordination, and even coma and death. Exosomes play a crucial role in intercellular communication, and their contents have been found to change in various diseases. This study analyzed the metabolomic characteristics of blood exosomes from HACE patients compared to those from healthy controls (HCs) with the aim of identifying specific metabolites or metabolic pathways associated with the development of HACE conditions. A total of 21 HACE patients and 21 healthy controls were recruited for this study. Comprehensive metabolomic profiling of the serum exosome samples was conducted using ultraperformance liquid chromatography–tandem mass spectrometry (UPLC‒MS/MS). Additionally, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was performed to identify the metabolic pathways affected in HACE patients. Twenty-six metabolites, including ( +)-camphoric acid, choline, adenosine, adenosine 5′-monophosphate, deoxyguanosine 5′-monophosphate, guanosine, and hypoxanthine-9-β-D-arabinofuranoside, among others, exhibited significant changes in expression in HACE patients compared to HCs. Additionally, these differentially abundant metabolites were confirmed to be potential biomarkers for HACE. KEGG pathway enrichment analysis revealed several pathways that significantly affect energy metabolism regulation (such as purine metabolism, thermogenesis, and nucleotide metabolism), estrogen-related pathways (the estrogen signaling pathway, GnRH signaling pathway, and GnRH pathway), cyclic nucleotide signaling pathways (the cGMP-PKG signaling pathway and cAMP signaling pathway), and hormone synthesis and secretion pathways (renin secretion, parathyroid hormone synthesis, secretion and action, and aldosterone synthesis and secretion). In patients with HACE, adenosine, guanosine, and hypoxanthine-9-β-D-arabinofuranoside were negatively correlated with height. Deoxyguanosine 5′-monophosphate is negatively correlated with weight and BMI. Additionally, LPE (18:2/0:0) and pregnanetriol were positively correlated with age. This study identified potential biomarkers for HACE and provided valuable insights into the underlying metabolic mechanisms of this disease. These findings may lead to potential targets for early diagnosis and therapeutic intervention in HACE patients.
Dynamic characteristics of coal gangue subgrade filler under traffic load based on the hysteretic curves
Authors: Zhang Lian-Zhi , Kang Cun-Bo , Zhang Zong-Tang
Published: May 2024

Traffic cyclic loading is the key factor that leads to the deterioration of the long-term service behavior of subgrade. A series of cyclic triaxial tests was carried out by the large-scale dynamic and static triaxial apparatus (LSDSTA) to study the dynamic behaviors of coal gangue subgrade filler (CGSF) under multi-step cyclic loading using the morphological characteristics of hysteretic curves (MCHC). MCHC was quantitatively characterized by four parameters, i.e., the unclosed degree (εphl), inclination of long axis degree (khl), area (Shl) and fullness degree (αhl). With the increase of dynamic strain, εphl increases exponentially. khl of the coal gangue sample first decreases and then shows an increasing trend with the increasing dynamic strain. The values of Shl are close to each other, and the energy dissipation in the sample is small. However, with the increase of dynamic strain, the specimen failure degree is increased, Shl increases exponentially, and the damping ratio increases. With the increase of dynamic strain, αhl increases approximately linearly. Confining pressure has a certain effect on the four parameters. There parameters can be recommended and used for quantitative analysis the dynamic behaviors of subgrade filler under traffic cyclic loading.
The comparative anti-oxidant and anti-inflammatory efficacy of postbiotics and probiotics through Nrf-2 and NF-kB pathways in DSS-induced colitis model
Authors: Rezaie Niloofar , Aghamohammad Shadi , Haj Agha Gholizadeh Khiavi Elham , Khatami Shohreh , Sohrabi Aria , Rohani Mahdi
Published: May 2024

IBD is a disorder which could be caused by oxidative stress. This investigation aims to determine if probiotics and postbiotics can control oxidative stress and inflammation and compare the effectiveness of these two probiotic and postbiotic mixtures of substances. 88 strains of Lactobacillus and Bifidobacterium were tested for antioxidant activity. Male wild-type C57BL/6 mice were divided into four experimental groups, namely high fat diet (HFD) + PBS, HFD + DSS, HFD + DSS + 109 cfu/ml of probiotics, and HFD + DSS + 109 cfu/ml of postbiotics. The phenotypical indices and pathological scores were assessed. The expression of genes related to NF-kB and Nrf2 signaling pathways and enzymes associated with oxidant/anti-oxidant activities, and proinflammatory/inflammatory cytokines were assessed. In contrast to the groups exposed to DSS, mice treated with probiotics mixture and postbiotics mixture alongside DSS displayed alleviation of DSS-induced adverse effects on phenotypical characteristics, as well as molecular indices such as the Nrf2 and NF-kB related genes, with a greater emphasis on the postbiotics component. In accordance with the findings of the present investigation, it can be inferred that even in using a high-fat dietary regimen as an inducer of oxidative stress, the emergence of inflammation can be effectively addressed through the utilization of probiotics and, more specifically, postbiotics.
Magnetic resonance imaging of tumor response to stroma-modifying pegvorhyaluronidase alpha (PEGPH20) therapy in early-phase clinical trials
Authors: Arias-Lorza Andrés M. , Costello James R. , Hingorani Sunil R. , Von Hoff Daniel D. , Korn Ronald L. , Raghunand Natarajan
Published: May 2024

Pre-clinical and clinical studies have shown that PEGPH20 depletes intratumoral hyaluronic acid (HA), which is linked to high interstitial fluid pressures and poor distribution of chemotherapies. 29 patients with metastatic advanced solid tumors received quantitative magnetic resonance imaging (qMRI) in 3 prospective clinical trials of PEGPH20: HALO-109-101 (NCT00834704), HALO-109-102 (NCT01170897), and HALO-109-201 (NCT01453153). Apparent Diffusion Coefficient of water (ADC), T1, ktrans, vp, ve, and iAUC maps were computed from qMRI acquired at baseline and ≥ 1 time point post-PEGPH20. Tumor ADC and T1 decreased, while iAUC, ktrans, vp, and ve increased, on day 1 post-PEGPH20 relative to baseline values. This is consistent with HA depletion leading to a decrease in tumor extracellular water content and an increase in perfusion, permeability, extracellular matrix space, and vascularity. Baseline parameter values predictive of pharmacodynamic responses were: ADC > 1.46 × 10−3 mm2/s (Balanced Accuracy (BA) = 72%, p < 0.01), T1 > 0.54 s (BA = 82%, p < 0.01), iAUC < 9.2 mM-s (BA = 76%, p < 0.05), ktrans < 0.07 min−1 (BA = 72%, p = 0.2), ve < 0.17 (BA = 68%, p < 0.01), and vp < 0.02 (BA = 60%, p < 0.01). A low ve at baseline was moderately predictive of response in any parameter (BA = 65.6%, p < 0.01 averaged across patients). These qMRI biomarkers are potentially useful for guiding patient pre-selection and post-treatment follow-up in future clinical studies of PEGPH20 and other tumor stroma-modifying anti-cancer therapies.
Assessment of the coupling coordination relationship between the green financial system and the sustainable development system across China
Authors: Li Chenggang , Bao Youhui , Li Yingjie , Yue Mu , Wu Liang , Mao Yufeng , Yang Tingzhang
Published: May 2024

Green finance (GF) is recognized as a key driver of sustainable development. While existing studies have extensively discussed the relationship between GF and the Sustainable Development Goals (SDGs), few have explored the coupling coordination relationship between GF and SDGs. In this paper, we use data from thirty Chinese provinces (municipalities and autonomous regions) from 2008–2021 to examine the degree of coupling coordination development (CCD) between GF and the SDGs systems using the CCD model. We find that most SDGs and their sub-goals exhibit a significant upward trend, except for SDG8, 14–16. GF presents a fluctuating upward trend, with a significant decline in 2010 and 2019. The CCDs between GF and SDGs and their sub-goals generally show an M-shaped upward trend in most regions, with most of them experiencing a synchronous decline in 2011–2012 and 2019. In the analysis of regional heterogeneity, the eastern region performs better in SDG8–9, the central region performs better in SDG3, 14–15, while the western region performs better in SDG7. This paper provides empirical evidence for a further in-depth understanding of the relationship between GF and SDGs, which can contribute to advancing GF development and the SDG process.
Adsorption properties of Pb(II) and Cd(II) in acid mine drainage by oyster shell loaded lignite composite in different morphologies
Authors: An Wenbo , Liu Yifan , Chen He , Sun Xueying , Wang Qiqi , Hu Xuechun , Di Junzhen
Published: May 2024

A new idea to alleviate environmental pollution is the development of low-cost adsorbents using natural minerals and fishery wastes to treat high concentrations of heavy metal pollutants in acid mine drainage (AMD). Adsorbent morphology, adsorptive and regenerative capacity, and application potential are limiting factors for their large-scale use. Oyster shells capable of releasing alkalinity were loaded on the surface of lignite to develop two composite adsorbents with different morphologies (powdery and globular) for the treatment of AMD containing Pb(II) and Cd(II). The results show that the ability of the adsorbent to treat AMD is closely related to its morphologies. The pseudo-second-order kinetic model and the Langmuir model are suitable to describe the adsorption process of OS-M(P), and the maximum adsorption saturation capacities of Pb(II) and Cd(II) are 332.6219 mg/g and 318.9854 mg/g, respectively. The pseudo-second-order kinetic model and the Freundlich model are suitable to describe the adsorption process of OS-M(G). A synergistic result of electrostatic adsorption, neutralization precipitation, ion exchange and complex reaction is achieved in the removal of Pb(II) and Cd(II) by two morphologies of adsorbents. The regeneration times (5 times) and recovery rate (75.75%) of OS-M(G) are higher than those of OS-M(P) (3 times) and recovery rate (20%). The ability of OS-M(G) to treat actual AMD wastewater is still better than that of OS-M(P). OS-M(G) can be used as a promising environmentally friendly adsorbent for the long-term remediation of AMD. This study provides a comprehensive picture of resource management and reuse opportunities for natural mineral and fishery wastes.
DNA as a perfect quantum computer based on the quantum physics principles
Authors: Riera Aroche R. , Ortiz García Y. M. , Martínez Arellano M. A. , Riera Leal A.
Published: May 2024

DNA is a complex multi-resolution molecule whose theoretical study is a challenge. Its intrinsic multiscale nature requires chemistry and quantum physics to understand the structure and quantum informatics to explain its operation as a perfect quantum computer. Here, we present theoretical results of DNA that allow a better description of its structure and the operation process in the transmission, coding, and decoding of genetic information. Aromaticity is explained by the oscillatory resonant quantum state of correlated electron and hole pairs due to the quantized molecular vibrational energy acting as an attractive force. The correlated pairs form a supercurrent in the nitrogenous bases in a single band $$\pi$$
π
-molecular orbital ($$\pi$$
π
-MO). The MO wave function $$(\Phi )$$

(
Φ
)

is assumed to be the linear combination of the n constituent atomic orbitals. The central Hydrogen bond between Adenine (A) and Thymine (T) or Guanine (G) and Cytosine (C) functions like an ideal Josephson Junction. The approach of a Josephson Effect between two superconductors is correctly described, as well as the condensation of the nitrogenous bases to obtain the two entangled quantum states that form the qubit. Combining the quantum state of the composite system with the classical information, RNA polymerase teleports one of the four Bell states. DNA is a perfect quantum computer.
Prediction of TKI response in EGFR-mutant lung cancer patients-derived organoids using malignant pleural effusion
Authors: Lee Sang-Hyun , Kim Kyuhwan , Lee Eunyoung , Lee Kyungmin , Ahn Kyeong Hwan , Park Hansom , Kim Yelim , Shin Soeun , Jeon Sang Youl , Hwang Yongki , Ahn Dong Hyuck , Kwon Yong-Jun , Moon Seok Whan , Moon Mi Hyoung , Kim Kyung Soo , Hyun Kwanyong , Kim Tae-Jung , Sung Yeoun Eun , Choi Joon Young , Park Chan Kwon , Kim Sung Won , Yeo Chang Dong , Sohn Hyun-Jung , Hyun You-Seok , Kim Tai-Gyu , Ku Bosung , Lim Jeong Uk , Kim Seung Joon
Published: May 2024

Patient-derived organoids (PDOs) are valuable in predicting response to cancer therapy. PDOs are ideal models for precision oncologists. However, their practical application in guiding timely clinical decisions remains challenging. This study focused on patients with advanced EGFR-mutated non-small cell lung cancer and employed a cancer organoid-based diagnosis reactivity prediction (CODRP)-based precision oncology platform to assess the efficacy of EGFR inhibitor treatments. CODRP was employed to evaluate EGFR-tyrosine kinase inhibitors (TKI) drug sensitivity. The results were compared to those obtained using area under the curve index. This study validated this index by testing lung cancer-derived organoids in 14 patients with lung cancer. The CODRP index-based drug sensitivity test reliably classified patient responses to EGFR-TKI treatment within a clinically suitable 10-day timeline, which aligned with clinical drug treatment responses. This approach is promising for predicting and analyzing the efficacy of anticancer, ultimately contributing to the development of a precision medicine platform.
The S-component fold: a link between bacterial transporters and receptors
Authors: Partipilo Michele , Slotboom Dirk Jan
Published: May 2024

The processes of nutrient uptake and signal sensing are crucial for microbial survival and adaptation. Membrane-embedded proteins involved in these functions (transporters and receptors) are commonly regarded as unrelated in terms of sequence, structure, mechanism of action and evolutionary history. Here, we analyze the protein structural universe using recently developed artificial intelligence-based structure prediction tools, and find an unexpected link between prominent groups of microbial transporters and receptors. The so-called S-components of Energy-Coupling Factor (ECF) transporters, and the membrane domains of sensor histidine kinases of the 5TMR cluster share a structural fold. The discovery of their relatedness manifests a widespread case of prokaryotic “transceptors” (related proteins with transport or receptor function), showcases how artificial intelligence-based structure predictions reveal unchartered evolutionary connections between proteins, and provides new avenues for engineering transport and signaling functions in bacteria.
Nonlinear dynamics of femtosecond laser interaction with the central nervous system in zebrafish
Authors: Jun Soyeon , Herbst Andreas , Scheffter Kilian , John Nora , Kolb Julia , Wehner Daniel , Fattahi Hanieh
Published: May 2024

Understanding the photodamage mechanism underlying the highly nonlinear dynamic of femtosecond laser pulses at the second transparent window of tissue is crucial for label-free microscopy. Here, we report the identification of two cavitation regimes from 1030 nm pulses when interacting with the central nervous system in zebrafish. We show that at low repetition rates, the damage is confined due to plasma-based ablation and sudden local temperature rise. At high repetition rates, the damage becomes collateral due to plasma-mediated photochemistry. Furthermore, we investigate the role of fluorescence labels with linear and nonlinear absorption pathways in optical breakdown. To verify our findings, we examined cell death and cellular responses to tissue damage, including the recruitment of fibroblasts and immune cells after irradiation. These findings contribute to advancing the emerging nonlinear optical microscopy techniques and provide a strategy for inducing precise, and localized injuries using near-infrared femtosecond laser pulses.
Confirming the theoretical foundation of steady-state microbunching
Authors: Kruschinski Arnold , Deng Xiujie , Feikes Jörg , Hoehl Arne , Klein Roman , Li Ji , Ries Markus , Chao Alexander
Published: May 2024

Steady-State Microbunching (SSMB) has been proposed as a concept to generate coherent synchrotron radiation at an electron storage ring. SSMB promises to supply kilowatt level average power radiation in the extreme ultraviolet regime, meeting the power level demands for lithography applications that presently cannot be fulfilled by established accelerator technologies. SSMB is under theoretical and experimental study, building on a proof-of-principle (PoP) experiment at the Metrology Light Source which previously showed the viability of the idea. Here we report experimental findings from systematic studies in the ongoing SSMB PoP experiment, where microbunching is generated from an energy modulation imposed by a laser of wavelength 1064 nm. The results confirm the expected dependence of the microbunching process on modulation amplitude and show that the influence of transverse-longitudinal coupling dynamics is as predicted. This confirmation of key parts of the SSMB theory establishes a solid footing for continuing the proof-of-principle efforts towards the goal of constructing a prototype SSMB light source facility.
Phase 1 dose expansion and biomarker study assessing first-in-class tumor microenvironment modulator VT1021 in patients with advanced solid tumors
Authors: Chen Jian Jenny , Vincent Melanie Y. , Shepard Dale , Peereboom David , Mahalingam Devalingam , Battiste James , Patel Manish R. , Juric Dejan , Wen Patrick Y. , Bullock Andrea , Selfridge Jennifer Eva , Pant Shubham , Liu Joyce , Li Wendy , Fyfe Susanne , Wang Suming , Zota Victor , Mahoney James , Watnick Randolph S. , Cieslewicz Michael , Watnick Jing
Published: May 2024

Background

Preclinical studies have demonstrated that VT1021, a first-in-class therapeutic agent, inhibits tumor growth via stimulation of thrombospondin-1 (TSP-1) and reprograms the tumor microenvironment. We recently reported data from the dose escalation part of a phase I study of VT1021 in solid tumors. Here, we report findings from the dose expansion phase of the same study.

Methods

We analyzed the safety and tolerability, clinical response, and biomarker profile of VT1021 in the expansion portion of the phase I study (NCT03364400). Safety/tolerability is determined by adverse events related to the treatment. Clinical response is determined by RECIST v1.1 and iRECIST. Biomarkers are measured by multiplexed ion beam imaging and enzyme-linked immunoassay (ELISA).

Results

First, we report the safety and tolerability data as the primary outcome of this study. Adverse events (AE) suspected to be related to the study treatment (RTEAEs) are mostly grade 1–2. There are no grade 4 or 5 adverse events. VT1021 is safe and well tolerated in patients with solid tumors in this study. We report clinical responses as a secondary efficacy outcome. VT1021 demonstrates promising single-agent clinical activity in recurrent GBM (rGBM) in this study. Among 22 patients with rGBM, the overall disease control rate (DCR) is 45% (95% confidence interval, 0.24-0.67). Finally, we report the exploratory outcomes of this study. We show the clinical confirmation of TSP-1 induction and TME remodeling by VT1021. Our biomarker analysis identifies several plasmatic cytokines as potential biomarkers for future clinical studies.

Conclusions

VT1021 is safe and well-tolerated in patients with solid tumors in a phase I expansion study. VT1021 has advanced to a phase II/III clinical study in glioblastoma (NCT03970447).
A theoretical screening of phytochemical constituents from Millettia brandisiana as inhibitors against acetylcholinesterase
Authors: Van Nguyen Hue , Ha Nguyen Xuan , Nguyen Duy Phuong , Pham Tho Hoan , Nguyen Minh Tho , Thi Nguyen Hue Minh
Published: May 2024

Screening of inhibitors against Alzheimer's disease protein using computational approaches.
Copper-based core–shell metamaterials with ultra-broadband and reversible ENZ tunability
Authors: Zaleska Anastasiia , Krasavin Alexey V. , Zayats Anatoly V. , Dickson Wayne
Published: May 2024

The inexpensive fabrication of large-area plasmonic nanostructures with nanometric precision, harnessing nontraditional transition metals, is essential for the timely technological exploitation of plasmonic phenomena in diverse fields.
Ultrafine Ir nanoparticles anchored on carbon nanotubes as efficient bifunctional oxygen catalysts for Zn–air batteries
Authors: Wang Jianglian , Ni Mengdi , Qian Jinjie , Ge Yongjie , Cai Dong , Nie Huagui , Zhou Xuemei , Yang Zhi
Published: May 2024

An electrocatalyst consisting of ultrafine iridium particles anchored on nitrogen-doped CNTs with high activities for ORR and OER was obtained via a simple annealing method. An efficient Zn–air battery was achieved with Ir-NC as the oxygen catalyst.
Enabling direct oxidation of ethane to acetaldehyde with oxygen using supported PdO nanoparticles
Authors: Ye Jiajie , Zhang Shoujie , Guo Yanglong , Zhan Wangcheng , Wang Li , Dai Sheng , Tang Xuan , Guo Yun
Published: May 2024

Industrial-scale production of acetaldehyde relies heavily on homogeneous catalysts.
One-step synthesis of orange–red emissive carbon dots: photophysical insight into their excitation wavelength-independent and dependent luminescence
Authors: Prakash Swayam , Patra Bamadeb , Sahu Saugata , Mishra Ashok Kumar
Published: May 2024

Photophysical insight into the excitation wavelength-independent and dependent luminescence of CDs in different solvent polarity and in solid state.
PASCAL: the perovskite automated spin coat assembly line accelerates composition screening in triple-halide perovskite alloys
Authors: Cakan Deniz N. , Kumar Rishi E. , Oberholtz Eric , Kodur Moses , Palmer Jack R. , Gupta Apoorva , Kaushal Ken , Vossler Hendrik M. , Fenning David P.
Published: May 2024

PASCAL enables systematic exploration and data-driven analysis within the halide perovskite composition space, showcasing its efficacy as an automated platform for solution-processed optoelectronic thin film research.
Insights into controlling bacterial cellulose nanofiber film properties through balancing thermodynamic interactions and colloidal dynamics
Authors: Mandal Aban , Liao Kuotian , Iyer Hareesh , Lin Junhao , Li Xinqi , Zhang Shuai , Roumeli Eleftheria
Published: May 2024

Proposed mechanistic model: balancing electrokinetic and thermodynamic factors in CNF colloid to film transition.
Multiscale modeling of surface enhanced fluorescence
Authors: Grobas Illobre Pablo , Lafiosca Piero , Guidone Teresa , Mazza Francesco , Giovannini Tommaso , Cappelli Chiara
Published: May 2024

The first fully atomistic QM/classical model to rationalize surface enhanced fluorescence is proposed. The results demonstrate how complex-shaped nanoparticles significantly influence fluorescence signals.