bluuebunny/crossref_metadata_2025_split huggingface dataset:
Production of the probiotic dessert containing sprouted quinoa milk and evaluation of physicochemical and microbial properties during storage
Authors: Yarabbi Hanieh , Roshanak Sahar , Milani Elnaz 
Published: July 2023

AbstractOne of the challenges of the food industry is detecting the potential of novel non‐dairy food matrices to deliver probiotic bacteria to humans as cholesterol‐free products, suitable for people with lactose intolerance and sensitivity to dairy proteins. In this study, the possibility of adding sprouted quinoa milk (SQM) at 0%, 50%, and 100% levels in probiotic non‐dairy dessert containing native Lactobacillus plantarum isolated from camel milk was investigated. Physicochemical, functional, microbiological, color, texture, and organoleptic characteristics of probiotic dessert samples were evaluated during 1, 7, and 14 days of storage at 4°C. According to the results, fat, protein, carbohydrates, and ash increased significantly during germination (p < .05). With boosting the SQM levels in the probiotic desserts, the number of soluble solids increased, and the syneresis decreased significantly (p < .05). The simultaneous increase in SQM levels and time caused an increase in acidity and decreased the moisture content of the samples. As the storage time increased, the intensity of the syneresis also decreased. The brightness index in all samples containing SQM was lower than in the control sample. During storage, the viable cell number of Lactobacillus plantarum in all samples decreased significantly. However, they were above the minimum required for FDA recommendation (6 log CFU g−1), varying from 4.6 × 108 CFU/mL to 4.3 × 107 CFU/mL for 50% SQM treatment. It was concluded that probiotic desserts containing SQM up to 50% could be properly presented in the market as gluten‐free and functional food products.
Long‐run intergenerational health benefits of women empowerment: Evidence from suffrage movements in the US
Authors: Noghanibehambari Hamid , Noghani Farzaneh 
Published: July 2023

AbstractAn ongoing body of research documents that women empowerment is associated with improved outcomes for children. However, little is known about the long‐run effects on health outcomes. This paper adds to this literature and studies the association between maternal exposure to suffrage reforms and children's old‐age longevity. We utilize changes in suffrage laws across US states and over time as a source of incentivizing maternal investment in children's health and education. Using the universe of death records in the US over the years 1979–2020 and implementing a difference‐in‐difference econometric framework, we find that cohorts exposed to suffrage throughout their childhood live 0.6 years longer than unexposed cohorts. Furthermore, we show that these effects are not driven by preexisting trends in longevity, endogenous migration, selective fertility, and changes in the demographic composition of the sample. Additional analysis reveals that improvements in education and income are candidate mechanisms. Moreover, we find substantial improvements in early‐adulthood socioeconomic standing, height, and height‐for‐age outcomes due to childhood exposure to suffrage movements. A series of state‐level analyses suggest reductions in infant and child mortality following suffrage law change. We also find evidence that counties in states that passed the law experienced new openings of County Health Departments and increases in physicians per capita.
Personalised therapy in follicular lymphoma – is the dial turning?
Authors: Linton Kim M. , Specht Lena , Pavlovsky Astrid , Thompson Carrie A. , Kimby Eva , de Jong Daphne , Nastoupil Loretta J. , Cottereau Anne‐Ségolène , Casulo Carla , Sarkozy Clémentine , Okosun Jessica 
Published: July 2023

AbstractFollicular lymphoma is the most common indolent lymphoma accounting for approximately 20%–25% of all new non‐Hodgkin lymphoma diagnoses in western countries. Whilst outcomes are mostly favorable, the spectrum of clinical phenotypes includes high‐risk groups with significantly inferior outcomes. This review discusses recent updates in risk stratification and treatment approaches from upfront treatment for limited and advanced stage follicular lymphoma to the growing options for relapsed, refractory disease with perspectives on how to approach this from a personalized lens. Notable gaps remain on how one can precisely and prospectively select optimal treatment for patients based on varying risks, with an anticipation that an increased understanding of the biology of these different phenotypes and increasing refinement of imaging‐ and biomarker‐based tools will, in time, allow these gaps to be closed.
The scholarly impact of diversity research
Authors: Ng Thomas W. H. 
Published: July 2023

AbstractThis study contributes to the diversity literature by probing whether diversity papers are cited as frequently as nondiversity papers in management and industrial/organizational (I/O) psychology journals. Based on the stigma‐by‐association theory, I argue that as a result of their association with minority groups, diversity papers may be devalued and thus “othered” by scholars. Using a citation analysis of 46,930 papers published in 29 peer‐reviewed management and I/O psychology journals, I present empirical evidence in Study 1 that diversity papers were cited significantly less frequently than nondiversity papers. The authors' gender and institutional prestige, journal tier and domain, and year of publication were not moderators. In Study 2, I used a scenario experiment to demonstrate the stigma‐by‐association effect. The authors' gender demonstrated a significant moderating effect in this experiment.
Effect of transcutaneous electrical nerve stimulation of acupoints on respiratory outcomes of COVID‐19 patients with moderate pulmonary involvement: A parallel randomized clinical trial
Authors: Shahdad Amin , Fadaee Aghdam Nasrin , Goli Shahrbanoo , Binesh Ehsan , Nourian Javad , Khajeh Mahboobeh 
Published: July 2023

AbstractBackground and aimsExperiencing respiratory symptoms, especially dyspnea and decreased oxygen saturation (SpO2) level in patients with coronavirus disease 2019 (COVID‐19) is associated with increased mortality. The present study was conducted to investigate the effect of transcutaneous electrical nerve stimulation of acupoints (Acu‐TENS) on the respiratory outcomes of COVID‐19 patients with moderate pulmonary involvement.MethodsIn these three‐blind parallel randomized clinical trials, 84 patients with COVID‐19 admitted to a referral hospital were selected by the convenience sampling method. Participants were randomly assigned to Acu‐TENS (n = 42) and control (n = 42) groups. The Acu‐TENS group received Acu‐TENS over the EX‐B1 (Dingchuan) acupuncture point for 45 min for four consecutive days, while participants in the control group received no intervention. Participants' respiratory outcomes, including oxygen saturation, vital signs, and the severity of dyspnea, were evaluated before and after each intervention on four consecutive days. In addition, the need for mechanical ventilation on Days 4, 8, and 12 and the disease's outcome (death or survival) were recorded in SPSS software version 16, and finally, data were analyzed using an independent samplest‐test.ResultsSpO2, the number of patients without the need for mechanical ventilation, and patient survival after the intervention were significantly higher in the Acu‐TENS group compared with the control group (<0.001). However, respiratory rate, heart rate, and the severity of dyspnea after the intervention were not significantly different between the two groups (p > 0.05).ConclusionThe use of Acu‐TENS could improve SpO2as a respiratory outcome of patients with COVID‐19 with moderate pulmonary involvement and it can be used as a therapeutic intervention.
Predictors of mortality and clinical outcomes following implantable cardioverter‐defibrillator therapy in elderly patients: A retrospective single‐center cohort study
Authors: Malekrah Alireza , Shafiee Akbar , Heidari Amirhossein , Vasheghani‐Farahani Ali , Bozorgi Ali , Sadeghian Saeed , Yaminisharif Ahmad 
Published: July 2023

AbstractBackground and aimsImplantable cardioverter‐defibrillators (ICDs) are frequently used to prevent sudden cardiac death in patients with high‐risk arrhythmias. However, the use of ICD therapy in elderly patients beyond the predicted age of life expectancy is still controversial. We aimed to evaluate the predictors of mortality and clinical outcomes following ICD implantation in elderly patients.MethodsWe conducted a retrospective analysis of 145 elderly patients aged 72 years and older who received ICD implantation between January 2010 and August 2015. We collected and analyzed baseline data, including clinical, demographic, and medical history, the reason for ICD therapy, procedural data, and echocardiography results. Follow‐up data included the development of complications and mortality. The predictors of mortality were identified using the univariate and multivariable Cox regression models.ResultsDuring the median follow‐up duration of 30.5 [18.0–48.0] months, 141 cases completed follow‐up (mean age = 76.0 ± 3.7 years). Forty‐four patients experienced at least one episode of ICD therapy. Inappropriate shock, recurrent shock, and device‐related infection were the most frequent complications observed in our study. Of the 145 patients, 42 died during the follow‐up period, with an average survival time of 22.4 months after ICD implantation. Among these patients, 11 received ICD for primary prevention, and 31 received it for secondary prevention. Cardiovascular problems were the leading cause of death. We found that a low baseline ejection fraction (EF) was an independent predictor of mortality (hazard ratio = 0.93, 95% confidence interval: 0.90–0.98; p = 0.008).ConclusionOur study suggests that ICD therapy is a valuable treatment option for elderly patients beyond their predicted age of life expectancy. The study highlights the importance of baseline EF as a significant predictor of mortality in these patients.
Development of the integrated fish endocrine disruptor test (iFEDT)—Part A: Merging of existing fish test guidelines
Authors: Pannetier Pauline , Gölz Lisa , Pissarreira Mendes Fagundes Maria T. , Knörr Susanne , Behnstedt Laura , Coordes Sara , Matthiessen Peter , Morthorst Jane E. , Vergauwen Lucia , Knapen Dries , Holbech Henrik , Braunbeck Thomas , Baumann Lisa 
Published: July 2023

Abstract
There has been increasing interest in endocrine-disrupting chemicals (EDCs) among scientists and public authorities over the last 30 years, notably because of their wide use and the increasing evidence of detrimental effects on humans and the environment. However, test systems for the detection of potential EDCs as well as testing strategies still require optimization. Thus, the aim of the present project was the development of an integrated test protocol that merges the existing OECD test guidelines (TGs) 229 (fish short-term reproduction assay) and 234 (fish sexual development test) and implements thyroid-related endpoints for fish. The integrated fish endocrine disruptor test (iFEDT) represents a comprehensive approach for fish testing, which covers reproduction, early development, and sexual differentiation, and will thus allow the identification of multiple endocrine-disruptive effects in fish. Using zebrafish (Danio rerio) as a model organism, two exposure tests were performed with well-studied EDCs: 6-propyl-2-thiouracil (PTU), an inhibitor of thyroid hormone synthesis, and 17α-ethinylestradiol (EE2), an estrogen receptor agonist. In part A of this article, the effects of PTU and EE2 on established endpoints of the two existing TGs are reported, whereas part B focuses on the novel thyroid-related endpoints. Results of part A document that, as expected, both PTU and EE2 had strong effects on various endocrine-related endpoints in zebrafish and their offspring. Merging of TGs 229 and 234 proved feasible, and all established biomarkers and endpoints were responsive as expected, including reproductive and morphometric changes (PTU and EE2), vitellogenin levels, sex ratio, gonad maturation, and histopathology (only for EE2) of different life stages. A validation of the iFEDT with other well-known EDCs will allow verification of the sensitivity and usability and confirm its capacity to improve the existing testing strategy for EDCs in fish. Integr Environ Assess Manag 2024;20:817–829. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Current approaches and future directions for addressing ethics in infant and early childhood mental health
Authors: Zeanah Paula D. , Steier Alison , Lim Izaak , Korfmacher Jon , Zeanah Charles H. 
Published: July 2023

AbstractIn this paper, we consider whether the field of infant and early childhood mental health (IECMH) needs its own code of ethics. We begin by describing unique features of infant and early childhood mental health (IECMH) and the diverse strategies that the field has developed to address complex clinical dilemmas, among them workforce development, clinical supports, policy statements, and statements of ethical values. Because of the field's interdisciplinary nature, we also consider how various contributing professions and organizations address ethical issues. While these are important resources that can inform ethical decision‐making, we identify some of the limitations of the current approaches. We argue that it is time for the field of IECMH to take an intentional, systematic approach to directly address the complex and unique ethical dilemmas faced by infant and early childhood mental health practitioners, and we grapple with some of the challenges developing such a code might entail. We suggest several avenues for better understanding the scope of ethical issues and ethical decision‐making processes in IECMH that could be used to support developing an ethics code that is responsive to the unique and challenging world of infant and early childhood mental health.
“Changing the course of the stream”: A retrospective analysis of artful language learning opportunities
Authors: McMurtry Teaira 
Published: July 2023

AbstractHistorically, language instruction involving Black Language (BL) assumes a goal of eradication, particularly in school‐sanctioned literacy practices. Language arts education for Black students must be liberatory, that is, antiracist and artful. The opportunities for English Language Arts (ELA) teachers to create, augment, and change the course of traditional ELA methods are abundant. In this article, the author takes up “inquiry as a stance” to provide a retrospective analysis of the implementation of two Artful Language Learning Opportunities (ALLOs) from an uncritical code‐switching unit plan designed for 11th‐grade students in 2011, and to offer ways that the ALLOs were (and could be) modified to center the dynamism that BL and thus disrupt White linguistic hegemony. This study's implications highlight the need to shift language instruction toward exploring critical concepts, embracing cultural pride, and incorporating equitable frameworks to empower students and transform teaching practices. By prioritizing the study of BL, educators can create inclusive learning environments that recognize and celebrate linguistic diversity, and, in doing so, understand that mastery in standardized English(es) is an inevitable outcome.
Research on the effect of process parameters on the performance of femtosecond laser‐bonded skin microstructure
Authors: Huang Jun , Jia Mengshi , Xia Shengnan , Chen Yuxin , Li Xiaopeng , Wang Kehong , Rui Yunfeng 
Published: July 2023

AbstractIn this paper, the effect of the femtosecond laser process parameters on the texture characteristics of the microstructure was analyzed with the response surface method. The correspondence between the temperature of skin during laser bonding and microscopic tissue texture characteristics parameters was explored. The results show that the three process parameters of laser power, scanning speed, and scanning times and the interaction between the parameters have different patterns of influence on the four texture characteristics parameters of skin microstructure angular second‐order moments, entropy, contrast, and relevance. Angular second‐order moments and relevance of skin microstructure textures increase with increasing temperature, while entropy values and contrast decrease. It provides another way to evaluate the performance of femtosecond laser‐bonded skin with microstructure.
Carbon fiber: Characterization and evaluation of the inflammatory response and toxicity in rats
Authors: Maciel Clarissa Carvalho Martins , Torquato Letícia Cavassini , Chelin Suárez Eduardo Antonio , Pereira Kauê Alberto , Jardini Maria Aparecida Neves , Borges Alexandre Luiz Souto , de Vasconcellos Luana Marotta Reis , Marcuzzo Jossano Saldanha , De Marco Andrea Carvalho 
Published: July 2023

AbstractThis study aimed to evaluate the Carbon Fiber obtained from PAN textile and cotton fiber in their different forms of presentation: non‐activated carbon fiber felt (NACFF), activated carbon fiber felt (ACFF), silver activated carbon fiber felt (Ag‐ACFF), and activated carbon fiber tissue (ACFT), to obtain scaffolds as a potential material with properties related to the synthetic bone graft. Characterization tests performed: surface wettability, traction, swelling, and in vivo tests: evaluation of the inflammatory response by implanting the materials in the subcutaneous tissue of 14 Wistar rats, evaluation of collagen fibers by picrosirius red staining and assessment of toxicity in the following organs: heart, spleen, liver, and kidney. In the wettability test, NACFF and ACFT were hydrophobic (θ124° and 114°), ACFF and Ag‐ACFF were hydrophilic. For maximum stress, ACFF was more resistant (2.983 ± 1.059) p < .05. In the swelling test, the Ag‐ACFF and ACFF groups showed the highest absorption percentage for the PBS solution and distilled water (p < .001). The organs showed no signs of acute systemic toxicity. The implant regions showed mild to moderate inflammatory infiltrate at 7 and 21 days. Only the ACFT group did not show the maturation of type I collagen fibers in 21 days. Through the conducted analyses, the ACFT shows little potential to be indicated as a possible scaffold. Therefore NACFF, ACFF, and Ag‐ACFF have the potential to be considered scaffolds due to the following characteristics presented: good absorption rate, hydrophilicity, and non‐toxic.
Critical roles of Co‐doped g‐C3N4/Bi2WO6 in photocatalytic removal of organic pollutants and treating oil field wastewater in electrocatalysis‐microbial fuel cells
Authors: Duan Yukuan , Wang Chen , Yang Shilong , Liu Lifen 
Published: July 2023

AbstractBACKGROUNDPhotocatalysts with Z‐type heterojunction structures for organic pollutant removal are prospective in environmental advanced oxidation processes. Introducing single metal atom to the heterojunction can further improve the synergistic activity of photocatalysts, so we doped Co single metal atom in g‐C3N4/Bi2WO6 Z‐type heterojunction.RESULTSFor this aim, a simple calcination and hydrothermal method was used to dope single atom Co on top of the Z‐type 10 wt% g‐C3N4/Bi2WO6 heterojunctions which we had tested previously. The optimal Co doping was determined at 0.2 wt% Co/10 wt% g‐C3N4‐Bi2WO6, that it most efficiently degraded (100 mg/L) RhB under visible light irradiation (99.7% in 30 min, kinetic rate constant 0.182 min −1). This single‐atom doped catalysts (Co/g‐C3N4/Bi2WO6) should be most favorably used in treating practical wastewater in EC (electro‐chemical)‐MFC (microbial fuel cell) system. Its remarkable performance was recorded (96% COD removal and 92.8% TOC removal).CONCLUSIONThe reactive oxidizing species include h+, 1O2, ·O2−, e−, and OH, they act together leading to the rapid degradation of pollutants. The developed Co‐doped ternary catalyst has promising application prospects in pollution control in real world wastewater treatment. © 2023 Society of Chemical Industry.
Analysis of the catalytic pyrolysis of shale gas oil‐based drill cuttings via TG‐MS
Authors: Lin Xiaosha , Shi Yaoming , Zheng Yi , Zheng Xuecheng , Li Dongwei 
Published: July 2023

AbstractBACKGROUNDShale gas oil‐based drill cuttings are receiving increasing attention because of their hazards and contamination. In this study, two catalysts (Fe2(SO4)3 and a synthesised catalyst) were used to study the pyrolysis products, possible reaction mechanisms, and kinetic characteristics via thermogravimetry‐mass spectrometry (TG‐MS) analysis.RESULTSThe results indicate that the synthesised catalyst, YAP‐3, exhibited an improved catalytic effect on the pyrolysis of drill cuttings with a good conversion rate. The reaction activation energy during the pyrolysis was reduced from 9.6 to 1.4 kJ/mol. In addition to hydrocarbons, the pyrolysis products contained nitrogen oxides and other compounds.CONCLUSIONA comparison of the peak temperature range and response intensity of the same substance with the same mass‐to‐charge ratio (m/z) showed that YAP‐3 significantly promoted the formation of pyrolysis products. This study provides theoretical support for the catalytic pyrolysis treatment of shale gas drill cuttings. © 2023 Society of Chemical Industry.
Knowledge‐based neural network with Bayesian optimization for efficient nonlinearRFdevice modeling
Authors: Wang Ruijin , Su Jiangtao , Xie Weiyu , Lin Zhongjie 
Published: July 2023

AbstractThis paper proposes a novel approach for modeling the nonlinear behavior of microwave devices, with a particular focus on addressing the challenging problem of modeling compound semiconductor transistors under large‐signal excitation. The approach utilizes a knowledge‐based neural network (KBNN) to construct a frequency‐domain behavioral model of the transistor, which maps incident and scattered waves from a coarse model to a fine model in cases where the coarse model fails to match the behavior of a new device. This neural network‐based method aims to achieve better alignment between the extracted model parameters obtained from the coarse model and the behavior of the fine model. To improve mapping efficiency and accuracy, Bayesian optimization techniques are employed to automatically adjust the hyper parameters in the KBNN within a custom‐defined hyper parameter space. The proposed method uses simulation and measurement of a 0.25 um GaN HEMT device operating at 8 GHz, with VGS at −2 V and VDS at 18 V. Furthermore, the proposed model exhibits good interpolation capability at different input power levels, indicating its broad applicability in the design of high‐speed device models. Specifically, the accuracy of the simulation data and test data reached −53.83 and −51.68 dB, respectively, with the test data used in model training being less than 7.5% of the simulation data.