bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relationships are essential but not always easy: The role of methodology in embedding Aboriginal community and Country in academic research
Authors: McKnight Anthony David Blake , Probst Yasmine , O'Flynn Gabrielle , Tillott Sarah , Stanley Rebecca Megan 
Published: July 2023

AbstractThis article is told as a story about how a project, Strong culture, healthier lifestyles, took steps towards decolonisation as an evolving methodological journey with Country. The story is primarily about how our methodology moved from a Western model of ‘doing’ research, to the research team being part of the research process, as team members with Country and the participating local community members: a methodology of partnership. First, we provide a general overview of the initial project to set up how we came to understand its disconnection to community and Country. Second, we unpack the storying approach as methodology that is bound with the local Country: Yuin on the South Coast of New South Wales, Australia. Third, using the storying approach, we reflect through Country and the community to discover ways forward in Aboriginal and non‐Aboriginal knowledge partnerships. We share our story in an attempt to limit colonial practice (decolonisation) and replace it with a re‐culturalising approach; the re‐connecting of Country as a source of interconnectedness into the research process. Country includes all the living communities of nature, and we explore how this relationship in the human element (community) impacted and developed our methodology of partnership.
Understanding the drivers of patient satisfaction with home health care services: An empirical study of two care pathways
Authors: Ponsignon Frédéric , Mathieu Léa , Durrieu François 
Published: July 2023

AbstractThis research aims to empirically determine the drivers of patient satisfaction with home health care services and to develop an instrument for measuring patient satisfaction in this context. The empirical study focuses on insulin and respiratory assistance therapies. Two large patient samples of a private home care provider in France are surveyed. Two distinct, yet complementary, analytical procedures are performed to maximize the validity and reliability of the results. We identify four core concepts (interpersonal relationship, support and guidance, delivery of consumables, and equipment use) that play a key role in influencing patient satisfaction across the two therapies studied. The results also reveal that the relative role of each factor in driving overall patient satisfaction varies across these therapies, possibly due to differences in the characteristics of the therapies and related care services. Our empirical results enrich the existing literature, largely focused on hospital and primary care settings, by providing evidence to capture patient satisfaction drivers at the level of specificity required to account for the unique context of home care services. The article's main theoretical contribution is to establish, from the patient's perspective, a core set of drivers that determine patient satisfaction in the context of home health care services. The instrument provides practitioners and policy makers with a practical tool that supports them in achieving patient satisfaction and in understanding why and how such satisfaction is achieved. The suitability of the patient satisfaction instrument to other forms of home care services needs examining.
Retrieval of parameters in micromixer with obstacle by cascade‐forward‐type artificial neural network: Comparison of four training algorithms under noisy data
Authors: Acharya Swagatika , Mishra Vijay Kumar , Patel Jitendra Kumar , Chaudhuri Sumanta 
Published: July 2023

AbstractTwo parameters are retrieved in a passive Y‐type micromixer with circular obstacle by cascade‐forward‐type artificial neural network (CFANN). The governing equations are solved by the finite volume method, under specific boundary conditions. The numerical model is then used to compute velocity profile and mixing efficiency, for different values of the Reynolds number. Thus, the velocity profiles along with Reynolds number (Re) and mixing efficiency (η) constitute the input–output pair of data. These data are used to train CFANN, and the network is monitored through different means, like, histograms, performance curves, and so forth. For inverse analysis, the trained CFANN model is fed with a new velocity profile as input, and corresponding values of Reynolds number and mixing efficiency are obtained as output. In an attempt to construct the optimum CFANN model, various combinations were explored, like, (1) different numbers of neurons in the hidden layer, (2) different noise levels in input data, and (3) different algorithms in the training stage. Finally, the CFANN with 10 hidden layer neurons with Levenberg–Marquardt (LM) algorithm was found to give retrieved values with up to 0.96% absolute error for all levels of noise in the input data. Also, the CFANN model with the LM algorithm has a very high value of regression coefficient of greater than 0.998, under all the noise values. Scaled conjugate gradient algorithm gives good results for the no‐noise case, but fails poorly with the rise of noise. Other algorithms, like, Bayesian regularization and resilient backpropagation, perform poorly even in the no‐noise case. The present approach is highly simple, accurate, and time efficient for applying inverse analysis in micromixers.
Differences in site‐specific cancer incidence by individual‐ and area‐level income in Canada from 2006 to 2015
Authors: Tope Parker , Morais Samantha , El‐Zein Mariam , Franco Eduardo L. , Malagón Talía 
Published: July 2023

AbstractIncome, a component of socioeconomic status, influences cancer risk as a social determinant of health. We evaluated the independent associations between individual‐ and area‐level income and site‐specific cancer incidence in Canada. We used data from the 2006 and 2011 Canadian Census Health and Environment Cohorts, which are probabilistically linked datasets constituted by 5.9 million and 6.5 million respondents of the 2006 Canadian long‐form census and 2011 National Household Survey, respectively. Individuals were linked to the Canadian Cancer Registry through 2015. Individual‐level income was derived using after‐tax household income adjusted for household size. Annual tax return postal codes were used to assign area‐level income quintiles to individuals for each year of follow‐up. We calculated age‐standardized incidence rates (ASIR) and rate ratios for cancers overall and by site. We conducted multivariable negative binomial regression to adjust these rates for other demographic and socioeconomic variables. Individuals of lower individual‐ and area‐level income had higher ASIRs compared to those in the wealthiest income quintile for head and neck, oropharyngeal, esophageal, stomach, colorectal, anal, liver, pancreas, lung, cervical and kidney and renal pelvis cancers. Conversely, individuals of wealthier individual‐ and area‐level income had higher ASIRs for melanoma, leukemia, Hodgkin's lymphoma, non‐Hodgkin's lymphoma, breast, uterine, prostate and testicular cancers. Most differences in site‐specific incidence by income quintile remained after adjustment. Although Canada's publicly funded healthcare system provides universal coverage, inequalities in cancer incidence persist across individual‐ and area‐level income gradients. Our estimates suggest that individual‐ and area‐level income affect cancer incidence through independent mechanisms.
A 3D U‐Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning
Authors: Chandran Lekshmy P. , Kochannan Parampil Abdul Rahiman Abdul Nazeer , Puzhakkal Niyas , Makuni Dinesh 
Published: July 2023

AbstractAutomation of the various steps of radiotherapy is gaining importance nowadays. Predicting the amount of radiation dose received by the tumor and nearby organs is one among them. Many deep learning architectures that predict the 3D dose distribution images from corresponding CT and contour images have been proposed in the literature. However, a detailed investigation has yet to be done on the significance of input images (CT and contour) in predicting dose distributions. This study introduces a novel two‐stage deep learning framework using a transfer learning technique for the same domain. The main objective of this approach is to accurately extract valuable information from the CT and contour images to determine the amount of radiation dose received by the organs. Training and testing are performed on the public dataset—OpenKBP, consisting of 340 oropharyngeal cancer patient data. The model performance is evaluated using the metrics dose score and DVH score. The proposed model outperforms the single‐stage deep learning models by 0.34% for the DVH score and 0.14% for the dose score. While comparing the mean dose difference between the predicted and actual dose values for each organ, the proposed model shows better performance in almost all cases. The results imply that medical professionals can utilize the predicted dose distributions to aid the optimization process in the treatment planning systems.
Comparison of Three Ovulation Induction Therapies for Patients With Polycystic Ovary Syndrome and Infertility
Authors: Xia Ting‐Ting , Zeng Ke‐Fei , Peng Qing‐Mei 
Published: July 2023

AbstractThe purpose of this research was to evaluate the efficacy of 3 ovulation induction therapies for treating infertility in patients with polycystic ovary syndrome (PCOS). In this retrospective study, we compared the success rates of 90 patients who underwent intrauterine insemination, who were randomly assigned to 1 of 3 treatment groups: letrozole (LE) + urinary gonadotropin (human menopausal gonadotropin [HMG]), clomiphene (CC) + HMG, or HMG alone. Using ultrasound scanning, we examined the number of mature follicles, ovulation rate, clinical pregnancy rate, endometrial thickness, and blood flow. When compared to the other 2 groups, the LE + HMG group had significantly higher levels of mature follicles, ovulation rate, clinical pregnancy rate, estradiol, and luteinizing hormone on the day of the human chorionic gonadotropin injection and endometrial receptivity (P < .05). There was no statistically significant difference between the 3 groups in terms of abortion rate, ectopic pregnancy rate, or adverse reactions. In this research, we found that infertility in patients with PCOS could be effectively treated by combining LE with HMG. This protocol increased ovulation, boosted fertility, and enhanced endometrial receptivity with no increase in adverse reactions. Therefore, it may be a useful clinical approach for inducing ovulation and treating infertility in patients with PCOS.
Incidence of Adverse Events Induced by Atropine in Myopic Children: A Meta‐Analysis
Authors: Sun Hong , Bu Fengjiao , Xin Xiu , Yan Jingchao 
Published: July 2023

AbstractA large number of studies have evaluated the efficacy of low‐dose atropine in preventing or slowing myopic progression. However, it is challenging to evaluate the ocular safety from these studies. We aimed to evaluate the incidence of adverse events induced by atropine in children with myopia. We performed a systematic literature search in several databases for studies published until November 2022. The incidence of adverse events induced by atropine was pooled by a common‐effect (fixed‐effect) or random‐effects model. Subgroup analyses were conducted according to drug doses, types of adverse events, and ethnicity. A total of 31 articles were ultimately included in the study. The overall incidence of adverse events for atropine was 5.9%, and the incidence of severe adverse events was 0.0%. The most commonly reported adverse events were photophobia (9.1%) and blurred near vision (2.9%). Other adverse events including eye irritation/discomfort, allergic reactions, headache, stye/chalazion, glare, and dizziness occurred in less than 1% of the patients. The incidence of atropine‐induced adverse events varied depending on the drug doses. A lower dose of atropine was associated with a lower incidence of adverse events. There was no significant difference in the incidence of adverse events for low‐dose atropine between Asian and White children. Our study suggests photophobia and blurred near vision are the most frequently reported adverse events induced by atropine. Low‐dose atropine is safer than moderate‐ and high‐dose atropine. Our study could provide a safe reference for ophthalmologists to prescribe atropine for myopic children.
Drug‐induced liver injury by glatiramer acetate leading to liver transplant: A case report
Authors: Amirkhani Nikan , Khalaji Amirmohammad , Alehossein Parsa , Safaei Masoomeh , Aletaha Najme , Miroliaee Arash 
Published: July 2023

AbstractGlatiramer acetate (GA) is a widely used immune‐modulating drug in relapsing multiple sclerosis (MS). Although a few cases of drug‐induced liver injury during GA therapy have been reported earlier, herein we present the case of a 43‐year‐old woman with relapsing MS who experienced acute liver failure after GA therapy, ultimately leading to liver transplant.
Symptom‐based portopulmonary hypertension screening questionnaire in Japanese patients with chronic liver disease
Authors: Wakabayashi Shun‐Ichi , Joshita Satoru , Kimura Kazuhiro , Motoki Hirohiko , Okumura Taiki , Kobayashi Hiroyuki , Yamashita Yuki , Sugiura Ayumi , Yamazaki Tomoo , Kimura Takefumi , Kuwahara Koichiro , Umemura Takeji 
Published: July 2023

AbstractBackground and AimAs the exact prevalence of portopulmonary hypertension (PoPH) and the etiology of chronic liver disease (CLD) remain unknown, the present study aimed to clarify these points in Japanese patients with CLD using symptom‐based questionnaire screening.MethodsPatients with CLD were asked to complete an eight‐item written questionnaire on pulmonary hypertension (PH) symptoms. If at least one item response was “yes,” the patient was offered ultrasonic echocardiography (UCG). Patients identified as having an intermediate or high risk of PH by UCG were referred to a cardiologist for further evaluation, whereby a definitive diagnosis of PoPH was made using right heart catheterization (RHC) findings.ResultsA total of 1111 patients with CLD completed the survey. Of the 566 symptomatic patients with at least one question answered as “yes,” approximately half agreed to undergo UCG (n = 267). Compared with asymptomatic patients, symptomatic patients were significantly older, predominantly female, and more frequently exhibited cirrhosis. Based on UCG findings, 228, 12, and 8 patients had a low, intermediate, or high risk for PH, respectively. Intermediate‐/high‐risk patients showed significantly more advanced disease progression status than low‐risk patients. The frequencies of answer to the eight questions were comparable. Ultimately, three patients were diagnosed as having PoPH (1.1% of UCG cases), one with underlying hepatitis C virus (HCV) infection and two with primary biliary cholangitis (PBC).ConclusionThis symptom‐based PoPH screening study clarified the prevalence of PoPH in CLD patients according to a PH symptom questionnaire, UCG, and RHC. Patients with HCV and PBC may have a higher risk of PoPH.
Regulation of miRNA expression by α4β1 integrin‐dependent multiple myeloma cell adhesion
Authors: Rodríguez‐García Yaiza , Martínez‐Moreno Mónica , Alonso Lola , Sánchez‐Vencells Anna , Arranz Alicia , Dagà‐Millán Roger , Sevilla‐Movilla Silvia , Valeri Antonio , Martínez‐López Joaquin , Teixidó Joaquin 
Published: July 2023

AbstractThe α4β1 integrin regulates the trafficking of multiple myeloma (MM) cells and contributes to MM disease progression. MicroRNAs (miRNAs) can have both tumor suppressor and oncogenic roles and thus are key controllers of tumor evolution, and have been associated with different phases of MM pathogenesis. Using small RNAseq analysis, we show here that α4β1‐dependent MM cell adhesion regulates the expression of forty different miRNAs, therefore expanding our current view of the α4β1 involvement in MM cell biology. Specific upregulation of miR‐324‐5p and miR‐331‐3p in cells attached to α4β1 ligands was confirmed upon silencing the α4 integrin subunit, and their increased levels found to be dependent on Erk1/2‐ and PI3K‐Akt‐, but not Src‐dependent signaling. Enhanced miR‐324‐5p expression upon α4β1‐mediated MM cell adhesion aimed the hedgehog (Hh) component SMO, revealing that the miR‐324‐5p‐SMO module represents a α4β1‐regulated pathway that could control Hh‐dependent cellular responses in myeloma. Our results open new therapy research avenues around the α4β1 contribution to MM progression that deserve to be investigated.
Absorption and fluorescence spectra of new pyrrolo[3,4‐b]quinolizines in condensed phases: A joint experimental and computational study
Authors: Shigemitsu Yasuhiro , Nishimura Yasuhisa , Hagimori Masayori 
Published: July 2023

AbstractNewly synthesized pyrrolo[3,4‐b]quinolizines, blue‐green to orange‐red in fluorescent dye in solutions and yellow to red fluorescent dyes in solid states, were experimentally and computationally investigated for the electronic and fluorescence spectra in solution as well as in solid state. The solvent effects on the absorption and emission spectra were theoretically investigated by the snapshots‐averaged spectra obtained by the first principle molecular dynamics combined with polarizable continuum model (PCM). Alternatively, the solute–solvent interaction effect on the spectra was examined by fragment molecular orbital‐time dependent density functional theory (FMO‐TDDFT) which considered the explicit solute–solvent interactions. The results indicate that the quantitative prediction limitations of PCM and that the solvatochromic shifts in dichloromethane and ethanol were correctly reproduced by FMO‐TDDFT. The luminescence quantum yields of the compounds were analyzed on the excited state potential surface via the S0/S1‐conical intersections.
Oral enzyme therapy for maple syrup urine disease (MSUD) suppresses plasma leucine levels in intermediate MSUD mice and healthy nonhuman primates
Authors: Skvorak Kristen , Liu Joyce , Kruse Nikki , Mehmood Roasa , Das Subhamoy , Jenne Stephan , Chng Chinping , Lao U. Loi , Duan Da , Asfaha Jonathan , Du Faye , Teadt Leann , Sero Antionette , Ching Charlene , Riggins James , Pope Lianne , Yan Ping , Mashiana Harminder , Ismaili Moulay Hicham Alaoui , McCluskie Kerryn , Huisman Gjalt , Silverman Adam P. 
Published: July 2023

AbstractMaple syrup urine disease (MSUD) is an inborn error of branched‐chain amino acid metabolism affecting several thousand individuals worldwide. MSUD patients have elevated levels of plasma leucine and its metabolic product α‐ketoisocaproate (KIC), which can lead to severe neurotoxicity, coma, and death. Patients must maintain a strict diet of protein restriction and medical formula, and periods of noncompliance or illness can lead to acute metabolic decompensation or cumulative neurological impairment. Given the lack of therapeutic options for MSUD patients, we sought to develop an oral enzyme therapy that can degrade leucine within the gastrointestinal tract prior to its systemic absorption and thus enable patients to maintain acceptable plasma leucine levels while broadening their access to natural protein. We identified a highly active leucine decarboxylase enzyme from Planctomycetaceae bacterium and used directed evolution to engineer the enzyme for stability to gastric and intestinal conditions. Following high‐throughput screening of over 12 000 enzyme variants over 9 iterative rounds of evolution, we identified a lead variant, LDCv10, which retains activity following simulated gastric or intestinal conditions in vitro. In intermediate MSUD mice or healthy nonhuman primates given a whey protein meal, oral treatment with LDCv10 suppressed the spike in plasma leucine and KIC and reduced the leucine area under the curve in a dose‐dependent manner. Reduction in plasma leucine correlated with decreased brain leucine levels following oral LDCv10 treatment. Collectively, these data support further development of LDCv10 as a potential new therapy for MSUD patients.
Online monitoring of higher alcohols and esters throughout beer fermentation by commercial Saccharomyces cerevisiae and Saccharomyces pastorianus yeast
Authors: Roberts Rebecca , Khomenko Iuliia , Eyres Graham T. , Bremer Phil , Silcock Patrick , Betta Emanuela , Biasioli Franco 
Published: July 2023

AbstractHigher alcohols and esters are among the predominant classes of volatile organic compounds (VOCs) that influence the quality of beer. The concentrations of these compounds are determined through a specific yeast strain selection and fermentation conditions. The effect of yeast strains on the formation of higher alcohols and esters throughout fermentations (at 20°C) was investigated. Flavour‐relevant esters (ethyl acetate, isoamyl acetate, ethyl hexanoate and ethyl octanoate) and higher alcohols (isoamyl alcohol, isobutyl alcohol and phenylethyl alcohol) were monitored throughout the fermentation using proton transfer reaction–time of flight–mass spectrometry (PTR‐ToF‐MS) coupled with an automated sampling system for continuous measurements. Compound identification was confirmed by analysis of samples using gas chromatography–mass spectrometry (GC–MS). Results demonstrated the specific time points where variation in higher alcohol and ester generation between yeast strains occurred. In particular, the concentrations of isoamyl acetate, ethyl octanoate and isoamyl alcohol between yeast strains were significantly different over the first 2 days of fermentation; whereas, after Day 3, no significant differences were observed. The two Saccharomyces pastorianus strains produced comparable concentrations of the key higher alcohols and esters. However, the key higher alcohol and ester concentrations varied greatly between the two S. cerevisiae strains. The use of PTR–ToF–MS to rapidly measure multiple yeast strains provides new insights on fermentation for brewers to modify the sensory profile and optimise quality.
Characterization of a human–mouse chimeric monoclonal antibody targeting rabies virus glycoprotein
Authors: Cai Meina , Hu Ziliang , Yang Yi , Mao Ting , Liu Yacui , Lu Guangwen , Yang Fanli , Qi Jianxun , Huang Weijin , Wang Youchun 
Published: July 2023

AbstractAt present, the horse or human rabies immunoglobulin (RIG) used for postexposure prevention of human rabies (PEP) has high cost and limited availability. It is strongly encouraged to replace RIG with equivalent or more effective and safer products. Mouse and human monoclonal antibodies have been shown to protect rodents from lethal rabies virus (RABV) attacks. In this study, we reported a human–mouse chimeric monoclonal antibody, 12‐2A12, which showed a strong neutralization potency and a wide breadth against multiple street viruses of RABV in vitro. The antibody binded the viral glycoprotein (G) with nanomolar affinity. The complex structure of 12‐2A12 bound to RABV G revealed that the antibody recognizes an epitope that partially overlaps with the recognition region for the nicotinic acetylcholine receptor (nAChR). The antibody therefore would interfere with the nAChR/G interaction to block the viral receptor binding. In addition, comparison of our complex structure with the G structure in the acidic state reveals a clear steric clash, highlighting that the antibody would further prevent the conformational changes of the viral glycoprotein that are essential for membrane fusion. In light of these functional and structural data, we believe that 12‐2A12 might be developed to be included in an antibody cocktail for potential use in human rabies PEP.