bluuebunny/crossref_metadata_2025_split huggingface dataset:
A pilot study of camrelizumab with docetaxel and cisplatin for the first line treatment in recurrent/metastatic oral squamous cell carcinoma
Authors: Ju Houyu , Wei Dongliang , Wu Yunteng , Liu Yang , Ding Qi , Rui Mengyu , Fan Zongyu , Yao Yanli , Hu Jingzhou , Ren Guoxin 
Published: July 2023

AbstractPembrolizumab with cisplatin and 5‐fluorouracil showed survival benefit but relatively high occurrence of treatment‐related adverse events (TRAEs) for recurrent/metastatic oral squamous cell carcinoma (R/M OSCC). A more tolerable regime is needed. This trial enrolled 20 R/M OSCC patients with previously untreated and PD‐L1 positive. Patients were administered camrelizumab with docetaxel and cisplatin every 3 weeks for six cycles, followed by camrelizumab monotherapy every 3 weeks until disease progression or intolerable toxicity. The primary endpoint was occurrence of grade ≥ 3 TRAEs, secondary endpoints included overall survival (OS), progression‐free survival (PFS), and overall response rate (ORR). 45% patients experienced grade ≥ 3 TRAEs, which the most common were anemia (15%), stomatitis (15%), and neutropenia (10%). The most common potential immune‐related adverse events were reactive cutaneous capillary endothelial proliferation (RCCEP; 60%), hypothyroidism (35%), and pneumonitis (15%). No treatment‐related deaths occurred. The median OS, PFS, and ORR was 14.4 months, 5.35 months, and 40.0% respectively. The study also found RCCEP occurrence, lower FOXP3+ cells, and higher density of intratumor tertiary lymphoid structure were associated with improved efficacy. Our data suggest that camrelizumab with docetaxel/cisplatin as first‐line therapy was well tolerable and had potentially favorite efficacy in PD‐L1‐positive patients with R/M OSCC.
The multi‐purpose K‐drones general routing problem
Authors: Campbell James , Corberán Ángel , Plana Isaac , Sanchis José M. , Segura Paula 
Published: July 2023

AbstractIn this article, we present and solve the multi‐purpose ‐drones general routing problem (MP ‐DGRP). In this optimization problem, a fleet of multi‐purpose drones, aerial vehicles that can both make deliveries and conduct sensing activities (e.g., imaging), have to jointly visit a set of nodes to make deliveries and map one or more continuous areas. This problem is motivated by global healthcare applications that deploy multipurpose drones that combine delivery trips with collection of aerial imaging data for use in emergency preparedness and resilience planning. The continuous areas that have to be mapped may correspond to terrain surfaces (e.g., flooded areas or regions with a disease outbreak) or to infrastructure networks to be inspected. The continuous areas can be modeled as a set of lines so that each area is completely serviced if all the lines covering it are traversed. Thus, given a set of nodes and a set of lines, the problem is to design drone routes of shortest total duration traversing the lines and visiting the nodes, while not exceeding the range limit (flight time) and capacity (loading) of the drones. Unlike ground vehicles in classical routing problems, drones can enter a line through any of its points, service only a part of that line and then exit through another of its points. The possibility of flying directly between any two points of the network offered by drones can lead to reduced costs, but it increases the difficulty of the problem. To deal with this problem, the lines are discretized, allowing drones to enter and exit each line only at a finite set of points, thus obtaining an instance of the ‐vehicles general routing problem (‐GRP). We present in this article an integer programming formulation for the ‐GRP and propose a matheuristic algorithm and a branch‐and‐cut procedure for its solution. Results are provided for problems with up to 20 deliveries and up to 28 continuous areas.
Alzheimer's disease knowledge of nursing staff in East China: A latent profile analysis
Authors: Zuo Shufang , Wang Yueju , Wang Ziyu , Chen Si , Liang Jinghong , Meng Hongyan , Lin Lu 
Published: July 2023

AbstractAimThe dementia population is expanding fast globally, posing a huge challenge to the healthcare system. Improving the level of Alzheimer's disease knowledge (ADK) in nursing staff is the key to providing quality dementia care and improving the patients' quality of life. This study aimed to investigate and classify the ADK level of nursing staff in East China and to identify the factors influencing the nursing staff's ADK level.DesignA cross‐sectional study.MethodsA cross‐sectional survey was conducted among 1896 nursing staff in East China from September 2022 to December 2022, using a self‐designed general information questionnaire and the Chinese version of the Alzheimer's Disease Knowledge Scale. Latent profile analysis (LPA) was used to classify the nursing staff according to their ADK level, and multinomial logistic regression was used to identify the factors influencing the nursing staff's ADK level.ResultsNursing staff could be classified into four latent profiles according to their ADK level (p < 0.05), namely, the ‘Low ADK group’, ‘Medium ADK group’, ‘Medium‐high ADK group’, and ‘High ADK group’. Age, education, experience in AD care and training in ADK were the main factors influencing the classification of the nursing staff's ADK level. Therefore, upgrading education, participating in ADK training, and increasing AD care experience will be conducive to improving the ADK of nursing staff.No Patient or Public Contribution.
The effects of early time restricted eating plus daily caloric restriction compared to daily caloric restriction alone on continuous glucose levels
Authors: Zaman Adnin , Grau Laura , Jeffers Rebecca , Steinke Sheila , Catenacci Victoria A. , Cornier Marc‐Andre , Rynders Corey A. , Thomas Elizabeth A. 
Published: July 2023

AbstractBackgroundThe median eating duration in the U.S. is 14.75 h, spread throughout the period of wakefulness and ending before sleep. Food intake at an inappropriate circadian time may lead to adverse metabolic outcomes. Emerging literature suggests that time restricted eating (TRE) may improve glucose tolerance and insulin sensitivity. The aim was to compare 24‐h glucose profiles and insulin sensitivity in participants after completing 12 weeks of a behavioral weight loss intervention based on early TRE plus daily caloric restriction (E‐TRE+DCR) or DCR alone.MethodsEighty‐one adults with overweight or obesity (age 18–50 years, BMI 25–45 kg/m2) were randomized to either E‐TRE+DCR or DCR alone. Each participant wore a continuous glucose monitor (CGM) for 7 days and insulin sensitivity was estimated using the homeostatic model assessment of insulin resistance (HOMA‐IR) at Baseline and Week 12. Changes in CGM‐derived measures and HOMA‐IR from Baseline to Week 12 were assessed within and between groups using random intercept mixed models.ResultsForty‐four participants had valid CGM data at both time points, while 38 had valid glucose, insulin, HOMA‐IR, and hemoglobin A1c (A1c) data at both timepoints. There were no significant differences in sex, age, BMI, or the percentage of participants with prediabetes between the groups (28% female, age 39.2 ± 6.9 years, BMI 33.8 ± 5.7 kg/m2, 16% with prediabetes). After adjusting for weight, there were no between‐group differences in changes in overall average sensor glucose, standard deviation of glucose levels, the coefficient of variation of glucose levels, daytime or nighttime average sensor glucose, fasting glucose, insulin, HOMA‐IR, or A1c. However, mean amplitude of glycemic excursions changed differently over time between the two groups, with a greater reduction found in the DCR as compared to E‐TRE+DCR (p = 0.03).ConclusionThere were no major differences between E‐TRE+DCR and DCR groups in continuous glucose profiles or insulin sensitivity 12 weeks after the intervention. Because the study sample included participants with normal baseline mean glucose profiles and insulin sensitivity, the ability to detect changes in these outcomes may have been limited.
Children's Oncology Group's 2023 blueprint for research: Myeloid neoplasms
Authors: Cooper Todd M. , Alonzo Todd A. , Tasian Sarah K. , Kutny Matthew A. , Hitzler Johann , Pollard Jessica A. , Aplenc Richard , Meshinchi Soheil , Kolb E. Anders 
Published: July 2023

AbstractDuring the past decade, the outcomes of pediatric patients with acute myeloid leukemia (AML) have plateaued with 5‐year event‐free survival (EFS) and overall survival (OS) of approximately 46 and 64%, respectively. Outcomes are particularly poor for those children with high‐risk disease, who have 5‐year OS of 46%. Substantial survival improvements have been observed for a subset of patients treated with targeted therapies. Specifically, children with KMT2A‐rearranged AML and/or FLT3 internal tandem duplication (FLT3‐ITD) mutations benefitted from the addition of gemtuzumab ozogamicin, an anti‐CD33 antibody–drug conjugate, in the AAML0531 clinical trial (NCT00372593). Sorafenib also improved response and survival in children with FLT3‐ITD AML in the AAML1031 clinical trial (NCT01371981). Advances in characterization of prognostic cytomolecular events have helped to identify patients at highest risk of relapse and facilitated allocation to consolidative hematopoietic stem cell transplant (HSCT) in first remission. Some patients clearly have improved survival with HSCT, although the benefit is largely unknown for most patients. Finally, data‐driven refinements in supportive care recommendations continue to evolve with meaningful and measurable reductions in toxicity and improvements in EFS and OS. As advances in application of targeted therapies, risk stratification, and improved supportive care measures are incorporated into current trials and become standard‐of‐care, there is every expectation that we will see improved survival with a reduction in toxic morbidity and mortality. The research agenda of the Children's Oncology Group's Myeloid Diseases Committee continues to build upon experience and outcomes with an overarching goal of curing more children with AML.
Appropriateness of 14‐year cutoff in pediatric differentiated thyroid cancer: Comparison of clinical characteristics and long‐term outcomes in 14 years and younger and 15–18 years age groups
Authors: Satapathy Swayamjeet , Majeed Althaf K. , Ballal Sanjana , Bal Chandrasekhar 
Published: July 2023

AbstractBackgroundPediatric differentiated thyroid cancers (DTCs) differ in pathophysiology, presentation, and clinical outcomes from adult DTCs. However, the cutoff age for defining pediatric DTCs remains debatable, with the American Thyroid Association (ATA) and International Incidence of Childhood Cancer (IICC) report recommending different cutoffs of 18 and 14 years, respectively. In this study, we investigated the appropriateness of 14‐year cutoff by comparing the clinical characteristics and long‐term outcomes in the 14 years and younger and 15–18 years age groups.MethodsData of DTC patients, aged 18 years and older, from 1981 to 2016, were sequentially extracted and compared between two age groups: ≤14 and 15–18 years.ResultsTotal of 176 pediatric DTC patients were included (age group ≤14 years: n = 75; age group 15–18 years: n = 101). None of the baseline clinical characteristics were significantly different between the two age groups. At 2‐year follow‐up, patients in the age group ≤14 years had significantly higher incomplete response rate compared to those in the age group 15–18 years (69% vs. 42%, respectively, p < .001). However, over a median follow‐up of 10.6 years (interquartile range: 7.7–15.5), the 5‐ and 10‐year Disease‐free survival (DFS) probabilities were not significantly different (p = .406). On multivariate analysis, incomplete response at 2‐year follow‐up was the sole independent predictor of poor DFS (hazard ratio: 5.85, 95% confidence interval: 1.69–20.23).ConclusionsSubdivision of pediatric DTCs into less than or equal to 14 years and 15–18 years age groups did not have any long‐term predictive value. The cutoff of 18 years as recommended by ATA is reasonable and should be uniformly followed to avoid inconsistencies and confusion.
Role and structure of the small subunit forming heterodimers with laccase‐like enzymes
Authors: Aza Pablo , Linde Dolores , Molpeceres Gonzalo , Vind Jesper , Medrano F. Javier , Camarero Susana 
Published: July 2023

AbstractUnlike laccases sensu stricto, which are usually monomeric enzymes, laccase‐like enzymes recently re‐classified as Novel Laccases (NLACs) are characterized by the formation of heterodimers with small proteins (subunits) of unknown function. Here the NLAC from Pleurotus eryngii (PeNL) and a small protein selected from the fungal genome, that is homologous to reported POXA3 from Pleurotus ostreatus, were produced in Aspergillus oryzae separately or together. The two proteins interacted regardless of whether the small subunit was co‐expressed or exogenously added to the enzyme. The stability and catalytic activity of PeNL was significantly enhanced in the presence of the small subunit. Size exclusion chromatography‐multi angle light scattering (SEC‐MALS) analysis confirmed that the complex PeNL‐ss is a heterodimer of 77.4 kDa. The crystallographic structure of the small protein expressed in Escherichia coli was solved at 1.6 Å resolution. This is the first structure elucidated of a small subunit of a NLAC. The helix bundle structure of the small subunit accommodates well with the enzyme model structure, including interactions with specific regions of NLACs and some amino acid residues of the substrate‐binding loops.
A Phase II score‐based distribution‐free method for jointly monitoring location and scale
Authors: Ding Dong , Li Jian , Tsung Fugee , Li Yang 
Published: July 2023

AbstractIn recent years, motivated by various applications, the joint monitoring of location and scale parameters have attracted increasing attention from researchers. Although parametric methods are useful and have been extensively studied, their efficiency is highly compromised when the process distribution is non‐normal or unknown. This leads to the study of nonparametric or distribution‐free methods. This article proposes a novel distribution‐free approach for location and scale monitoring, based on the proper transformation of the score test and the incorporation of the exponentially weighted moving average (EWMA) scheme. The proposed method is efficient to detect shifts in location and scale parameters, and is robust under various underlying distributions. Simulation study and a real example from manufacturing industry have guaranteed the usefulness and effectiveness of the proposed method.
Does improved cooking fuel empower women? Evidence from India
Authors: Lee YuJung Julia , Husain Zakir , Dutta Mousumi 
Published: July 2023

AbstractReliance on biomass fuel remains high in many developing countries, like India. Shifting to clean fuel has widely recognized benefits for women in saving time, improving health, and creating a better environment. Other benefits to women in the form of increasing empowerment are a relatively under‐researched area. Using data from the nationally representative National Family Health Survey (2019–21) in India, this study uses endogenous treatment effect models to explore the causal effect of shifting to clean fuel on awareness, work, mobility, decision‐making and financial autonomy. Analysis reveals significant gains in all dimensions, particularly in women's mobility and decision‐making. The gains are relatively higher among less educated women, those from poor households, and those belonging to socially advantaged groups. Focusing on gains to empowerment will motivate women to adopt clean fuel and enable a holistic transformation of society through the simultaneous attainment of several Sustainable Development Goals.
High‐Speed Optoelectronic Nonvolatile Memory Based on van der Waals Heterostructures
Authors: Wang Wenxiang , Jin Jiyou , Wang Yanrong , Wei Zheng , Xu Yushi , Peng Zhisheng , Liu Hui , Wang Yu , You Jiawang , Impundu Julienne , Zheng Qiang , Li Yong Jun , Sun Lianfeng 
Published: July 2023

AbstractHigh‐performance optoelectronic nonvolatile memory is promising candidate for next‐generation information memory devices. Here, a floating‐gate memory is constructed based on van der Waals heterostructure, which exhibits a large storage window ratio (≈75.5%) and an extremely high on/off ratio (107), as well as an ultrafast electrical writing/erasing speed (40 ns). The enhanced performance enables as‐fabricated devices to present excellent multilevel data storage, robust retention, and endurance performance. Moreover, stable optical erasing operations can be achieved by illuminating the device with a laser pulse, showcasing outstanding optoelectronic storage performance (optical erasing speed ≈ 2.3 ms). The nonvolatile and high‐speed characteristics of these devices hold significant potential for the integration of high‐performance nonvolatile memory.
Numerical evaluation of axial compressive behavior of hollow concrete columns reinforced with GFRP bars and spirals
Authors: Tahir Muhammad , Karam Muhammad Shoaib , Hassam Muhammad , Umer Muhammad , Hameed Rashid 
Published: July 2023

AbstractWith the advancement in the concrete technology, the application of precast concrete elements in the buildings and road infrastructures is increasing very rapidly. One of such applications is the use of precast hollow concrete elements in the bridge construction. As the conventional steel reinforcement is highly susceptible to corrosion, the use of non‐corrosive reinforcement in precast hollow concrete piers and piles of bridges could be a good option for the durability of bridge structures., In this regard, hollow concrete columns reinforced with fiber‐reinforced polymer (FRP) have been considered as a potential solution to overcome the structural deterioration due to corrosion. In the past, limited studies have been carried out on hollow concrete columns reinforced with FRP, consequently, the behavior of such columns is not fully understood. Therefore, to comprehensively evaluate the behavior of hollow concrete columns for various design parameters, a finite element model (FEM) was developed in this study using the commercial tool “Abaqus”. The model was developed and verified based on the experimental results of studies conducted by two independent research groups on circular concrete columns. The proposed model well predicted the peak loads with an error less than 10% and the failure modes of the tested columns. The verified constitutive relation and establishing method were further employed to conduct parametric evaluations to observe the influence of different parameters, such as inner‐to‐outer diameter ratio, longitudinal reinforcement ratio, lateral reinforcement ratio, and concrete strength, on the behavior of hollow concrete columns. Parametric analyses show that reduced inner‐to‐outer diameter ratio and larger longitudinal or lateral reinforcement may lead to higher peak load and confined concrete strength. Finally, based on the experimental and FEM evaluations, the strength prediction equations were developed for the analysis and design of hollow concrete columns reinforced with GFRP bars.
Green and large‐scale production of ammonia: Laser‐driven pyrolysis of nitrogen‐enriched biomass
Authors: Li Yue , Wu Tong , Wang Yujie , Li Jiawei , Yu Wanqiang , Zhang Guixiang , Chang Bin , Zhao Lili , Liu Hong , Zhou Weijia 
Published: July 2023

AbstractAs a vital chemical, ammonia (NH3) plays an irreplaceable role in many fields such as chemical synthesis and energy storage. Green renewable biomass can be converted into biofuels, but its nitrogen resources are underused throughout. Laser‐driven pyrolysis is envisaged to debuts as a bridge to connect them to realize the direct conversion from nitrogen‐rich biomass into ammonia. The pulsed laser‐induced local‐transient thermal effect recognized the biological nitrogen resources conversion, such as cheap and plentiful yeasts, to small gaseous molecules and achieved spectacular ammonia production rate up to 260.4 mg/h, an order of magnitude higher performance than thermochemical ammonia synthesis. Simultaneously, the tiny hot point generated by a low‐energy laser (20 W) guarantees the whole ammonia synthesis reaction system is in a mild environment of low temperature and normal pressure. Additionally, the remaining solid residue after laser‐driven pyrolysis also can be further exploited as a highly active catalyst for electrocatalytic nitrate reduction reaction (NIRR).
Circ_0040994 depletion alleviates lipopolysaccharide‐induced HK2 cell injury through miR‐17‐5p/TRPM7 axis
Authors: Li Yanping , Chai Yanfen 
Published: July 2023

AbstractBackgroundSepsis is a fatal systemic inflammatory disease that causes septic acute kidney injury (AKI). In this work, we explored the roles of circ_0040994 in lipopolysaccharide (LPS)‐induced human kidney‐2 (HK2) cell injury.MethodsCirc_0040994, miR‐17‐5p and transient receptor potential melastatin 7 (TRPM7) expression were detected by qRT‐PCR. Cell functions were examined by MTT assay, flow cytometry assay, western blot, ELISA assay, and oxidative stress assay. The molecular association was detected by dual‐luciferase reporter assay.ResultsCirc_0040994 was upregulated in the serum of septic AKI patients in comparison with the serum of healthy controls. Silencing circ_0040994 enhanced cell viability but inhibited cell apoptosis, cell inflammation and oxidative stress in LPS‐triggered HK2 cells. Circ_0040994 acted as a miR‐17‐5p sponge to regulate the level of TRPM7. Moreover, miR‐17‐5p could alleviate LPS‐induced HK2 cell injury by suppressing TRPM7.ConclusionCirc_0040994 downregulation alleviated LPS‐induced HK2 cell injury through the miR‐17‐5p/TRPM7 axis.
Luteolin/ZnO nanoparticles attenuate neuroinflammation associated with diabetes via regulating MicroRNA‐124 by targeting C/EBPA
Authors: Moustafa Enas M. , Moawed Fatma S. M. , Elmaghraby Dina F. 
Published: July 2023

AbstractObjectiveThe most prevalent brain‐specific microRNA, MicroRNA‐124, exhibits anti‐inflammatory properties. Luteolin nano‐formulation with Zn oxide in the form of L/ZnO NPs may boost anti‐diabetic properties; however, its beneficial effect on miRNAs is yet unknown in diabetes. The effectiveness of L/ZnONPs supplements in preventing diabetic neurodegeneration by modulating inflammatory responses in a diabetic model was investigated.MethodsA diabetic rat model was induced by a high‐fat diet and streptozotocin (30 mg/kg I.P.). Plasma glucose, insulin, and HOMR‐IR levels, as well as cytokines, lipid peroxidation, GSH/GSSG, and glucose transporter 1, were determined along with the tight junction proteins occludin (OCLN) and zona occludens 1 (ZO‐1). Moreover, the expressions of brain CCAAT/enhancer‐binding protein (C/EBPA mRNA), miR‐124, glial fibrillary acidic protein (GFAP), and NF‐kBp65 were measured alongside the histological investigation.ResultsThe results revealed that L/ZnO NPs were able to diminish lipid peroxidation, increase the activity of antioxidant enzymes, and reduce inflammation under oxidative stress. Consequently, it was able to reduce hyperglycemia, elevate insulin levels, and improve insulin resistance. Besides, L/ZnO NPs upregulate miR‐124, reduce C/EBPA mRNA, increase BCl‐2, and inhibit apoptosis. The results indicate that diabetes raises BBB permeability via tight junction protein decline, which is restored following L/ZnO NPs treatment. Luteolin/ZnO NPs regulate miR‐124 and microglia polarization by targeting C/EBPA and are expected to alleviate inflammatory injury via modulation of the redox‐sensitive signal transduction pathways. Luteolin/ZnO NPs have a novel target for the protection of the BBB and the prevention of neurological complications in diabetes.