bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparisons of financial hardship in cancer care by family structure and among those with and without minor children using nationally representative data
Authors: Jewett Patricia I. , Purani Himal , Vogel Rachel I. , Parsons Helen M. , Borrero Maria , Blaes Anne 
Published: March 2024

AbstractIntroductionWhile demographic risk factors of cancer‐related financial hardships have been studied, having minor children or being single have rarely been assessed in the context of healthcare‐related financial hardships.MethodsUsing data from the 2015 to 2018 National Health Interview Survey, we assessed financial hardship (material and psychological hardship; behavioral coping due to costs: delaying/foregoing care, reducing prescription costs, or skipping specialists or follow‐up care) among adults aged 18–59 years with cancer (N = 2844) by minor child parenting status and family structure. In a secondary analysis, we compared this group with individuals without cancer. Using logistic regression models, we compared those with and without children aged <18 years, further distinguishing between those who were single versus one of two or more adults in the family.ResultsCompared to individuals from families with two or more adults/without children, single adults with children more often reported cancer‐related financial hardships, for example material hardship (45.9% vs. 38.8%), and reducing prescription costs, (50.7% vs. 34.4%, adjusted OR 1.57, 95% CI 1.07–2.28). Single adults without minor children and those from families with two or more adults/with minor children also reported greater financial hardships on some dimensions. Associations were similar among those without cancer, but the overall magnitude of financial hardships was lower compared to those with cancer.ConclusionsOur findings suggest that having minor children, and being a single adult are risk factors for cancer‐related financial hardship. Financial vulnerability associated with family structure should be taken into consideration in healthcare, and especially cancer care.
Country‐of‐origin, region‐of‐origin or terroir branding to entice premium Price? The curious case of geographic place origin construal and psychic distance
Authors: Tarabashkina Liudmila , Schepis Daniel , Purchase Sharon 
Published: March 2024

AbstractDespite firms' long reliance on geographic place origin branding, such as country‐of‐origin (COO), region‐of‐origin (ROO), and terroir, to sell their products in international markets, little theoretical and empirical work has been carried out to investigate which level of geographic specificity stimulates greater premium price when entering new markets. An experiment was conducted in India and Saudi Arabia manipulating place origin as a 3 factorial design (COO vs. ROO vs. terroir) using Australia as the country context, and honey as the product context. Results suggest that COO, ROO, and terroir prompt different place construal, which interacts with psychic distance to people (individual consumer difference), resulting in varying premium price. The study explains under which conditions which of the three place origins benefit companies and which ones backfire.
Pediatric non‐Hodgkin lymphoma as a rare cause of spinal cord injury: When lymphoma hides in the canal
Authors: Zama Daniele , Candela Egidio , Pagano Gennaro , Venturelli Francesco , Melchionda Fraia , Toni Francesco , Zucchelli Mino , Pession Andrea 
Published: March 2024

Key Clinical MessageSpinal cord compression from non‐Hodgkin lymphoma (NHL) should be considered as a potential diagnosis in cases of acute signs of myelopathy in pediatric patients.AbstractSpinal cord compression in pediatric non‐Hodgkin lymphoma (NHL) is a rare presentation with potential diagnostic challenges. We report on two pediatric patients with NHL who exhibited myelopathy signs as initial presentation. Considering NHL as a differential diagnosis in pediatric patients presenting with spinal cord compression is crucial for optimizing the outcome of these patients.
Recent Development in Synthesis of N‐Methylamines with Amines and Methanol
Authors: Yu Xiaogang , Cui Xinjiang , Jing Huanwang , Qian Bo , Yuan Hangkong , Shi Feng 
Published: March 2024

AbstractThe N‐methylation reaction of amines with methanol via the borrowing‐hydrogen strategy is an important method for the construction of C−N bonds. Compared with other C1 sources, such as toxic formaldehyde or expensive formic acid, methanol is more suitable for N‐methylation reactions due to its eco‐friendliness and low price. Using this strategy, various types N‐methylated products, including biological and pharmaceutical molecules have been prepared. Here, we present a thorough survey of decades of articles showing current developments in N‐methylation reactions with methanol. We discuss homogenous, heterogenous and light‐driven catalytic systems for both N‐methylation and N,N‐dimethylation reactions. This review presents the shortcomings of current developments and provides future development progress in N‐methylation reactions with methanol.
Use oft‐distributed stochastic neighbour embedding in vibrational spectroscopy
Authors: Stevens François , Carrasco Beatriz , Baeten Vincent , Fernández Pierna Juan A. 
Published: March 2024

AbstractThet‐distributed stochastic neighbour embeddingalgorithm ort‐SNEis a non‐linear dimension reduction method used to visualise multivariate data. It enables a high‐dimensional dataset, such as a set of infrared spectra, to be represented on a single, typically two‐dimensional graph, revealing its global and local structure. t‐SNE is very popular in the machine learning community and has been applied in many fields, generally with the aim of visualising large datasets. In vibrational spectroscopy, t‐SNE is gaining notoriety but principal component analysis (PCA) remains by far the reference method for exploratory analysis and dimension reduction. However, t‐SNE may represent a real aid in the analysis of vibrational spectroscopic datasets. It provides an at‐a‐glance global view of the dataset allowing to distinguish the main factors influencing the spectral signal and the hierarchy between these factors, and gives an indication on the possibility of performing predictive modelling. It can also provide great support in the choice of the pre‐processing, by comparing rapidly different general pre‐processing approaches according to their effect on the variable of interest. Here we propose to illustrate these advantages using different datasets. We also propose an approach based on a synergy between the t‐SNE and PCA methods, allowing respective advantages of each to be exploited.
The Utilization of Metal‐Organic Frameworks and Their Derivatives Composite in Supercapacitor Electrodes
Authors: Liu Qianwen , Li Ruidong , Li Jie , Zheng Bingyue , Song Shuxin , Chen Lihua , Li Tingxi , Ma Yong 
Published: March 2024

AbstractUp to now, the mainstream adoption of renewable energy has brought about substantial transformations in the electricity and energy sector. This shift has garnered considerable attention within the scientific community. Supercapacitors, known for their exceptional performance metrics like good charge/discharge capability, strong power density, as well as extended cycle longevity, have gained widespread traction across various sectors, including transportation and aviation. Metal‐organic frameworks (MOFs) with unique traits including adaptable structure, highly customizable synthetic methods, and high specific surface area, have emerged as strong candidates for electrode materials. For enhancing the performance, MOFs are commonly compounded with other conducting materials to increase capacitance. This paper provides a detailed analysis of various common preparation strategies and characteristics of MOFs. It summarizes the recent application of MOFs and their derivatives as supercapacitor electrodes alongside other carbon materials, metal compounds, and conductive polymers. Additionally, the challenges encountered by MOFs in the realm of supercapacitor applications are thoroughly discussed. Compared to previous reviews, the content of this paper is more comprehensive, offering readers a deeper understanding of the diverse applications of MOFs. Furthermore, it provides valuable suggestions and guidance for future progress and development in the field of MOFs.
High‐dose vitamin D to attenuate bone loss in patients with prostate cancer on androgen deprivation therapy: A phase 2 RCT
Authors: Peppone Luke J. , Kleckner Amber S. , Fung Chunkit , Puzas J. Edward , Reschke Jennifer E. , Culakova Eva , Inglis Julia , Kamen Charles , Friedberg Jonathan W. , Janelsins Michelle , Mustian Karen , Heckler Charles E. , Mohile Supriya 
Published: March 2024

AbstractBackgroundAndrogen deprivation therapy (ADT) inhibits prostate cancer growth. However, ADT causes loss of bone mineral density (BMD) and an increase in fracture risk; effective interventions for ADT‐induced bone loss are limited.MethodsA phase 2 randomized controlled trial investigated the feasibility, safety, and preliminary efficacy of high‐dose weekly vitamin D (HDVD, 50,000 IU/week) versus placebo for 24 weeks in patients with prostate cancer receiving ADT, with all subjects receiving 600 IU/day vitamin D and 1000 mg/day calcium. Participants were ≥60 years (mean years, 67.7), had a serum 25‐hydroxyvitamin D level <32 ng/mL, and initiated ADT within the previous 6 months. At baseline and after intervention, dual‐energy x‐ray absorptiometry was used to assess BMD, and levels of bone cell, bone formation, and resorption were measured.ResultsThe HDVD group (N = 29) lost 1.5% BMD at the total hip vs. 4.1% for the low‐dose group (N = 30; p = .03) and 1.7% BMD at the femoral neck vs. 4.4% in the low‐dose group (p = .06). Stratified analyses showed that, for those with baseline 25‐hydroxyvitamin D level <27 ng/mL, the HDVD group lost 2.3% BMD at the total hip vs 7.1% for the low‐dose group (p < .01). Those in the HDVD arm showed significant changes in parathyroid hormone (p < .01), osteoprotegerin (p < 0.01), N‐terminal telopeptide of type 1 collagen (p < 0.01) and C‐terminal telopeptide of type 1 collagen (p < 0.01). No difference in adverse events or toxicity was noted between the groups.ConclusionsHDVD supplementation significantly reduced hip and femoral neck BMD loss, especially for patients with low baseline serum 25‐hydroxyvitamin D levels, although demonstrating safety and feasibility in prostate cancer patients on ADT.
Comprehensive evaluation of cytomorphologic, histologic, and molecular features of DICER1‐altered thyroid lesions on FNA: A multipractice experience
Authors: Lengyel Krisztina , Lubin Daniel J. , Hsiao Wen‐Yu , Sirotnikov Sam , Luo Guangju , Roberts James W. , Shi Qiuying , Magliocca Kelly , Lewis Melinda M. , Sears Donald L. , Ilyas Ghulam , Rogers Beverly B. , Viswanathan Kartik 
Published: March 2024

ABSTRACTBackgroundDICER1 mutations, though infrequent, are encountered on preoperative molecular testing of indeterminate adult and pediatric thyroid fine‐needle aspiration (FNA) specimens. Yet, published cytomorphologic features of DICER1‐altered thyroid lesions are limited. Cytomorphological features of DICER1‐altered thyroid lesions were examined in a multipractice FNA cohort with clinical, radiological, and histologic data.MethodsThe cohort comprised 18 DICER1‐altered thyroid FNAs, with 14 having slides available and eight having corresponding surgical resections. Smears, ThinPrep, and formalin‐fixed cell block slides were reviewed and correlated with histology, when available. Clinical and radiologic data were obtained from the medical record.ResultsMost DICER1‐altered FNAs were classified as atypia of undetermined significance (94.4%). DICER1 mutations occurred in codons 1709 (50%), 1810 (27.8%), and 1813 (22.2%). One patient had an additional DICER1 p.D1822N variant in both of their FNAs. Lesions were often hypoechoic (35.3%) and solid (47.1%) on ultrasound. Notable cytomorphologic features include mixed but prominent microfollicular or crowded component, variable colloid, and insignificant nuclear atypia. On resection (n = 10), histologic diagnoses ranged from benign follicular adenoma and low‐risk follicular thyroid carcinoma to high‐grade follicular–derived nonanaplastic thyroid carcinoma. Subcapsular infarct‐type change was the most common histologic change. There was no evidence of recurrence or metastasis in eight patients on limited follow‐up.ConclusionDICER1‐altered thyroid lesions occurred frequently in young females and FNAs show RAS‐like cytomorphology including crowded, mixed macro‐/microfollicular pattern, and bland nuclear features. On resection, DICER1‐altered thyroid lesions include benign (50%), low‐risk lesions (30%), or high‐risk malignancies (20%).
Developing an Approach for Calculating Theoretical Minimum Hydrogen Consumption during Catalytic Hydrotreating of Diesel
Authors: Liu Feng , Zhang Yubai , Luo Yong , Zhai Weiming , Lu Yutao , Liu Jiaxu , Li Mingfeng 
Published: March 2024

AbstractIdentifying the unnecessary H2 consumption existing in diesel hydrotreating process and calculating theoretical minimum H2 consumption are extremely critical for reducing H2 consumption in consideration of carbon reduction and resource utilization improvement. In this work, chemical reactions happened during diesel hydrotreating were categorized into hydrodesulfurization (HDS), hydrodenitrogenation (HDN), saturation of monocyclic aromatic hydrocarbons (MAHs), saturation of polycyclic aromatic hydrocarbons (PAHs), hydrogenation of olefins (HGO) and hydrocracking reactions (HCR). Then, in order to gain insights into where and how much H2 can be reduced, the ideal molecular compositions of the products were analyzed when theoretical minimum H2 was achieved for each type of reactions, which can give a genuine value of average relative molecular weight and average number of moles of H2 consumed per mole of reactants, leading to the establishment of method for calculating theoretical minimum H2 consumption. Additionally, the above method was used to calculate theoretical minimum H2 consumption of five diesel feedstocks with different properties to study the influence of content of S, N and PAHs in the feed on theoretical minimum H2 consumption. This method can provide guidance for experiments of H2 consumption reduction, and also help the refineries to save potential costs of H2.
Mo3S13 Chalcogel: A High‐Capacity Electrode for Conversion‐Based Li‐Ion Batteries
Authors: Islam Taohedul , Chandra Roy Subrata , Bayat Sahar , Adigo Weret Misganaw , Hoffman Justin M. , Rao Keerthan R. , Sawicki Conrad , Nie Jing , Alam Robiul , Oketola Oluwaseun , Donley Carrie L. , Kumbhar Amar , Feng Renfei , Wiaderek Kamila M. , Risko Chad , Amin Ruhul , Islam Saiful M. 
Published: March 2024

AbstractDespite large theoretical energy densities, metal‐sulfide electrodes for energy storage systems face several limitations that impact the practical realization. Here, we present the solution‐processable, room temperature (RT) synthesis, local structures, and application of a sulfur‐rich Mo3S13 chalcogel as a conversion‐based electrode for lithium‐sulfide batteries (LiSBs). The structure of the amorphous Mo3S13 chalcogel is derived through operando Raman spectroscopy, synchrotron X‐ray pair distribution function (PDF), X‐ray absorption near edge structure (XANES), and extended X‐ray absorption fine structure (EXAFS) analysis, along with ab initio molecular dynamics (AIMD) simulations. A key feature of the three‐dimensional (3D) network is the connection of Mo3S13 units through S−S bonds. Li/Mo3S13 half‐cells deliver initial capacity of 1013 mAh g−1 during the first discharge. After the activation cycles, the capacity stabilizes and maintains 312 mAh g−1 at a C/3 rate after 140 cycles, demonstrating sustained performance over subsequent cycling. Such high‐capacity and stability are attributed to the high density of (poly)sulfide bonds and the stable Mo−S coordination in Mo3S13 chalcogel. These findings showcase the potential of Mo3S13 chalcogels as metal‐sulfide electrode materials for LiSBs.
Exploring NK cell receptor dynamics in paediatric leukaemias: implications for immunotherapy and prognosis
Authors: Tu Cui , Buckle Irina , Leal Rojas Ingrid , Rossi Gustavo Rodrigues , Sester David P , Moore Andrew S , Radford Kristen , Guillerey Camille , Souza‐Fonseca‐Guimaraes Fernando 
Published: March 2024

AbstractObjectivesImmunotherapies targeting natural killer (NK) cell receptors have shown promise against leukaemia. Unfortunately, cancer immunosuppressive mechanisms that alter NK cell phenotype prevent such approaches from being successful. The study utilises advanced cytometry to examine how cancer immunosuppressive pathways affect NK cell phenotypic changes in clinical samples.MethodsIn this study, we conducted a high‐dimensional examination of the cell surface expression of 16 NK cell receptors in paediatric patients with acute myeloid leukaemia and acute lymphoblastic leukaemia, as well as in samples of non‐age matched adult peripheral blood (APB) and umbilical cord blood (UCB). An unsupervised analysis was carried out in order to identify NK cell populations present in paediatric leukaemias.ResultsWe observed that leukaemia NK cells clustered together with UCB NK cells and expressed relatively higher levels of the NKG2A receptor compared to APB NK cells. In addition, CD56dimCD16+CD57− NK cells lacking NKG2A expression were mainly absent in paediatric leukaemia patients. However, CD56br NK cell populations expressing high levels of NKG2A were highly represented in paediatric leukaemia patients. NKG2A expression on leukaemia NK cells was found to be positively correlated with the expression of its ligand, suggesting that the NKG2A‐HLA‐E interaction may play a role in modifying NK cell responses to leukaemia cells.ConclusionWe provide an in‐depth analysis of NK cell populations in paediatric leukaemia patients. These results support the development of immunotherapies targeting immunosuppressive receptors, such as NKG2A, to enhance innate immunity against paediatric leukaemia.
Stomach size in anorexia nervosa: A new challenge?
Authors: Joyeux Marie‐Alix , Pierre Antoine , Barrois Marion , Hoeffel Christine , Devie Antoine , Brugel Mathias , Bertin Eric 
Published: March 2024

AbstractBackground & AimsChanges in stomach size may impact eating behaviour. A recent study showed gastric dilatation in restrictive eating disorders using computed tomography scans. This study aimed to describe stomach size in the standing position in women with anorexia nervosa (AN).MethodsWomen treated for AN at our institution were retrospectively included if they had undergone upper gastrointestinal radiography (UGR) after the diagnosis of AN. Two control groups (CG1 and CG2) were included, both comprising female patients: CG1 patients were not obese and underwent UGR for digestive symptoms of other aetiologies, and CG2 comprised obese individuals who had UGR before bariatric surgery. A UGR‐based Stomach Size Index (SSI), calculated as the ratio of the length of the stomach to the distance between the upper end of the stomach and the top of the iliac crests, was measured in all three groups. Gastromegaly was defined as SSI >1.00.Results45 patients suffering from AN (28 with restrictive and 17 with binge/purge subtype), 10 CG1 and 20 CG2 subjects were included in this study. Stomach Size Index was significantly higher in AN (1.27 ± 0.24) than in CG1 (0.80 ± 0.11) and CG2 (0.68 ± 0.09); p < 0.001, but was not significantly different between patients with the restrictive and binge/purge subtypes. Gastromegaly was present in 82.2% of patients with AN and not present in the control groups. In patients with AN, gastromegaly was present in 12/15 patients without digestive symptoms (80.0%) and in 25/30 patients with digestive complaints (83.3%) at time of UGR (p = 0.99). In the AN group, no significant relationship was found between SSI and body mass index.ConclusionGastromegaly is frequent in AN and could influence AN recovery. This anatomical modification could partially explain the alterations of gastric motility previously reported in AN.
Multi‐dimensional resource management with deep deterministic policy gradient for digital twin‐enabled Industrial Internet of Things in 6 generation
Authors: Hu Yue , Cao Ning , Lu Hao , Jiang Yunzhe , Liu Yinqiu , He Xiaoming 
Published: March 2024

AbstractIn the era of sixth generation mobile networks (6G), industrial big data is rapidly generated due to the increasing data‐driven applications in the Industrial Internet of Things (IIoT). Effectively processing such data, for example, knowledge learning, on resource‐limited IIoT devices becomes a challenge. To this end, we introduce a cloud‐edge‐end collaboration architecture, in which computing, communication, and storage resources are flexibly coordinated to alleviate the issue of resource constraints. To achieve better performance in hyper‐connected experience, real‐time communication, and sustainable computing, we construct a novel architecture combining digital twin (DT)‐IIoT with edge networks. In addition, considering the energy consumption and delay issues in distributed learning, we propose a deep reinforcement learning‐based method called deep deterministic policy gradient with double actors and double critics (D4PG) to manage the multi‐dimensional resources, that is, CPU cycles, DT models, and communication bandwidths, enhancing the exploration ability and improving the inaccurate value estimation of agents in continuous action spaces. In addition, we introduce a synchronization threshold for distributed learning framework to avoid the synchronization latency caused by stragglers. Extensive experimental results prove that the proposed architecture can efficiently conduct knowledge learning, and the intelligent scheme can also improve system efficiency by managing multi‐dimensional resources.
The impact of chitooligosaccharides with a certain degree of polymerization on diabetic nephropathic mice and high glucose‐damaged HK‐2 cells
Authors: Liu Yuwen , Zhang Ran , Zou Jiaqi , Yin Hao , Zhao Mengyao , Zhao Liming 
Published: March 2024

AbstractDiabetic nephropathy (DN) is a primary diabetic complication ascribed to the pathological changes in renal microvessels. This study investigated the nuclear factor erythroid 2‐related factor 2 (Nrf2)/Kelch ECH associating protein (Keap1)/antioxidant response element (ARE) signaling pathway impact of chitooligosaccharides (COS) with a certain degree of polymerization (DP) on DN mouse models and high glucose‐damaged human kidney 2 (HK‐2) cells. The findings indicated that COS effectively reduced the renal function indexes (uric acid [UA], urinary albumin excretion rate [UAER], urine albumin‐to‐creatinine ratio [UACR], blood urea nitrogen [BUN], and creatinine [Cre]) of DN mice. It increased (p < .05) the superoxide dismutase (SOD), glutathione peroxidase (GSH‐Px), and catalase (CAT) antioxidant enzyme activity in the serum and kidneys, and decreased (p < .05) the malondialdehyde (MDA) content. The mechanistic investigation showed that COS significantly increased (p < .05) Nrf2 and downstream target gene (GCLM, GCLC, HO‐1, and NQO‐1) expression, and substantially decreased (p < .05) Keap1 expression. The protein level was consistent with the messenger RNA (mRNA) level in in vitro and in vivo models. The docking data indicated that COS and Keap1 protein binding included six hydrogen bond formation processes (Gly364, Arg415, Arg483, His436, Ser431, and Arg380). The COS intervention mechanism may be related to the Nrf2/Keap1/ARE antioxidant pathway. Therefore, it provides a scientific basis for COS application in developing special medical food for DN patients.