bluuebunny/crossref_metadata_2025_split huggingface dataset:
POSS‐based fluorescence sensor for rapid analysis of β‐carotene in health products
Authors: Li Dan , Zhou Peipei , Hu Yufei , Li Gongke , Xia Ling 
Published: May 2022

AbstractIn recent years, fluorescent organic–inorganic hybrid nanomaterials have received much interest as potential fluorescent sensor materials. In this study, fluorescent organic–inorganic hybrid nanomaterials (POSS@ANT) were created using polyhedral oligomeric silsesquioxane as the precursor and 9,10‐bromoanthracene as the monomer. The morphology and composition of POSS@ANT, as well as its pore characteristics and fluorescence properties were studied. POSS@ANT displayed steady fluorescence emission at an excitation wavelength of 374 nm. Next, a β‐carotene fluorescence sensor was developed using the capacity of β‐carotene to quench the fluorescence of POSS@ANT. The quenching process is linked to acceptor electron transfer and energy transfer, and the sensor has a high selectivity for β‐carotene. This β‐carotene fluorescence analysis method that we established has a linear range of 0.2–4.3 mg/L and a detection limit of 0.081 mg/L. Finally, it was used to quantify β‐carotene in health products, the recovery rate was 91.1–109.9%, the relative standard deviation (RSD) was 2.2–4.3%, and the results were comparable with the results of high‐performance liquid chromatography. The approach is reliable and can be used to determine β‐carotene in health products.
Rearrangement of aniline(H2O)n (n = 0–12) clusters upon photoionization and their excited state properties: Density functional theory and time‐dependent density functional theory study
Authors: Alauddin Mohammad , Roy Madhusudan , Song Jae Kyu , Park Seung Min 
Published: May 2022

AbstractWe have studied H‐bonded structural rearrangement in the S0, S1, and D0 states of neutral and cationic aniline+(H2O)n (n = 0–12) clusters by adopting density functional (DFT) and time‐dependent DFT (TD‐DFT) theory. DFT‐calculated structural rearrangement energies (SRE) increased sharply for n = 1, 2, remained nearly the same until n = 9, and increased again from n = 10 to larger clusters. This indicates that the intramolecular vibrational modes play a central role in the rearrangement energy. On the other hand, DFT‐calculated thermochemical data confirmed that there is no significant change in enthalpy (H), Gibb's free energy (G), and entropy (S) for neutral and ionized clusters. The maximum UV absorption wavelength, λmax red‐shifted gradually with the increase of cluster size with respect to aniline as the hydration reduces the excitation energies. On the other hand, there was no significant change in the highest occupied molecular orbital (HOMO)‐lowest unoccupied molecular orbital (LUMO) energy gap.
A resilience approach to corporate biodiversity impact measurement
Authors: Kennedy Steve , Fuchs Martin , van Ingen Wouter , Schoenmaker Dirk 
Published: May 2022

AbstractMeasuring biodiversity impact is attracting corporate attention as firms face increasing scrutiny over the ongoing sixth mass extinction of animals. Extant approaches to measurement are relatively nascent and do not directly address the dynamic complexity that can cause abrupt ecosystem change. Measurement approaches largely overlook when transformational change may occur and how changes to biodiversity may influence its likelihood. We posit that corporate biodiversity impact measurement can be advanced by incorporating resilience thinking from the natural sciences. Resilience thinking can refocus measurement on how biodiversity contributes to an ecosystem's capacity to adapt to disturbances and avoid sudden, transformative change. We propose a set of seven key mechanisms that can inform measurement development across three biodiversity attributes: abundance, composition and distribution. To conclude, we discuss opportunities for accounting researchers to advance corporate biodiversity measurement approaches connected to ecosystem resilience.
Institutional pressures for corporate biodiversity management practices in the plantation sector: Evidence from the tea industry in Sri Lanka
Authors: Atupola Upekha , Gunarathne Nuwan 
Published: May 2022

AbstractPlantation companies face growing regulatory and stakeholder pressures to conserve biodiversity in their business operations. However, their responses to these institutional pressures remain largely unexplored, particularly in sectors such as tea. This study aims to identify the institutional factors influencing corporate biodiversity management in Sri Lankan tea plantation companies and how such influences are translated into organizational practices. The data gathered using multiple sources, including interviews, field visits and document analysis, were analysed using institutional theory. The study reveals that regulatory influence and certification standards have significantly shaped biodiversity management practices, leading to structural‐ and field‐level changes within tea plantation companies. The tea companies' conservation initiatives have been institutionalized with homogeneous characteristics at the managerial level. However, in the actual practice, institutional pressures have been translated into many heterogeneous practices at the field‐level due to the numerous ways in which ideas disembed, travel and reembed across different organizational levels and are implemented by operational staff in a variety of ways.
Race‐specific prostate cancer outcomes in a cohort of low and favorable‐intermediate risk patients who underwent external beam radiation therapy from 1990 to 2017
Authors: Stroup Sean P. , Robertson Audry H. , Onofaro Kayla C. , Santomauro Michael G. , Rocco Nicholas R. , Kuo Huai‐ching , Chaurasia Avinash R. , Streicher Samantha , Nousome Darryl , Brand Timothy C. , Musser John E. , Porter Christopher R. , Rosner Inger L. , Chesnut Gregory T. , D'Amico Anthony , Lu‐Yao Grace , Cullen Jennifer 
Published: May 2022

AbstractBackgroundPrevious research exploring the role of race on prostate cancer (PCa) outcomes has demonstrated greater rates of disease progression and poorer overall survival for African American (AA) compared to Caucasian American (CA) men. The current study examines self‐reported race as a predictor of long‐term PCa outcomes in patients with low and favorable‐intermediate risk disease treated with external beam radiation therapy (EBRT).MethodsThis retrospective cohort study examined patients who were consented to enrollment in the Center for Prostate Disease Research Multicenter National Database between January 01, 1990 and December 31, 2017. Men self‐reporting as AA or CA who underwent EBRT for newly diagnosed National Comprehensive Cancer Network‐defined low or favorable‐intermediate risk PCa were included. Dependent study outcomes included: biochemical recurrence‐free survival, (ii) distant metastasis‐free survival, and (iii) overall survival. Each outcome was modeled as a time‐to‐event endpoint using race‐stratified Kaplan–Meier estimation curves and multivariable Cox proportional hazards analysis.ResultsOf 840 men included in this study, 268 (32%) were AA and 572 (68%) were CA. The frequency of biochemical recurrence, distant metastasis, and deaths from any cause was 151 (18.7%), 29 (3.5%), and 333 (39.6%), respectively. AA men had a significantly younger median age at time of EBRT and slightly higher biopsy Gleason scores. Multivariable Cox proportional hazards analyses demonstrated no racial differences in any of the study endpoints.ConclusionsThese findings reveal no racial disparity in PCa outcomes for AA compared to CA men, in a long‐standing, longitudinal cohort of patients with comparable access to cancer care.
‘The Golden Question’. Addressing supervisee self‐care in clinical supervision
Authors: Seabrook Michelle 
Published: May 2022

AbstractObjectivesThe purpose of this study was to explore how supervisee self‐care is, or is not, addressed in the clinical supervision of counsellors and psychotherapists. The aims of the study were as follows: (1) to analyse the process and dialogue used to address supervisee self‐care in clinical supervision; (2) to explore supervisee and supervisor experiences and understanding of how self‐care is addressed in clinical supervision; and (3) to investigate how addressing supervisee self‐care can be enhanced or maintained and how this can be implemented into training and practice.MethodFour established supervision dyads with experienced practitioners took part. Twelve supervision sessions were analysed using a discursive psychology approach to discourse analysis. Participants were then interviewed; the data were analysed using interpretative phenomenological analysis.ResultsThe findings from the discourse analysis demonstrate how discourse can enhance or limit addressing self‐care. The findings from the analysis of the supervisor interviews resulted in the following superordinate themes: ‘I am here’, ‘Where are you?’ and ‘We're the instruments’. The findings from the supervisee interviews resulted in two superordinate themes: ‘Me, myself and I' and ‘You and I'.ConclusionsThere is an interplay between the experience of the supervisor and supervisee and the dialogue used to address self‐care in clinical supervision. The implications for practice and training are discussed via ‘The Golden Question’ that encapsulates the findings.
Safety and efficacy of transcatheter mitral valve repair in patients with COPD; results from real‐world cohort
Authors: Alachkar Mhd Nawar , Müller Tobias , Alnaimi Anas , Milzi Andrea , Kneizeh Kinan , Altiok Ertunc , Schröder Jörg , Reith Sebastian , Marx Nikolaus , Dreher Michael , Almalla Mohammad , Daher Ayham 
Published: May 2022

AbstractObjectiveTo evaluate the safety and efficacy of transcatheter mitral valve repair (TMVR) in patients with chronic obstructive pulmonary disease (COPD).BackgroundHeart failure and COPD share many clinical features and commonly coexist. Data about the safety and efficacy of TMVR in patients with COPD is not conclusive.MethodsThree hundred and forty consecutive patients undergoing TMVR were retrospectively included. COPD diagnosis was based on pulmonary function tests (PFTs). Intra‐hospital, 30‐day‐ and 1‐year outcomes were compared between both groups.ResultsEighty‐two patients had COPD (24%). There was no difference in intra‐hospital mortality between patients with and without COPD (both 5%, p = 0.95). Among patients who had a successful procedure and survived to discharge there was a trend toward more rehospitalization due to decompensated heart failure at 30‐day follow‐up in patients with COPD (12.9% vs. 6.8%, p = 0.08) with no difference in mortality. At median follow‐up of 1 year, New York heart association (NYHA) category was comparable among both groups and there was no significant difference in rehospitalization (COPD: 29.9% vs. non‐COPD: 34%, p = 0.5). There was a trend toward increased 1‐year mortality in COPD patients (31.2% vs. 20.6%, p = 0.06). However, a composite endpoint of rehospitalization or death at 1 year did not differ between both groups (48% vs. 42.5%, p = 0.4). Regression analysis showed no correlation between COPD severity and worse TMVR outcomes.ConclusionsCOPD is highly prevalent among patients undergoing TMVR. However, TMVR seems to be safe and effective in COPD patients. COPD severity and PFT impairment alone should not be considered as a contraindication for TMVR.
Facile and Scalable Fabrication of Sub‐Micro MnS@Nitrogen‐Sulfur‐Codoped‐Carbon Composites for High‐Performance Lithium‐Ion Half and Full‐Cell Batteries
Authors: Miao Rongrong , Xie Songheng , Lin Xiang , Zhang Tao , Song Jingang , Huang Xiangxuan 
Published: May 2022

AbstractNanostructured manganese sulfide (MnS) has been verified to be effective to address the issues of MnS as next‐generation anode material in high energy lithium‐ion batteries (LIBs). The scale‐up fabrication, however, is still challenged by the multistep and rigid processes of synthesizing MnS nanoparticles. Herein, by using micro‐sized MnS as low‐cost MnS source, we present a facile, cost‐effective and scalable strategy to prepare a sub‐micrometer sized MnS@NSC composite, in which MnS nanoparticles are encapsulated into N,S‐codoped carbon matrix (NSC) deriving from polyacrylonitrile (PAN). The NSC matrix combined with homogeneously distributed MnS nanoparticles crushed from micro‐MnS provide fast access of lithium ion/electron and robust structure, leading to remarkable cycling stability (551.6 mAh g−1 at 0.5 A g−1 even after 400 cycles) and desirable rate capability (624 mAh g−1 at 0.1 A g−1 and around 300 mAh g−1 at 2 A g−1). Particularly, the assembled LIB full cell by coupling the anode with LiFePO4 (LFP) cathode presents an encouragingly cycling retention of 96 % after 100 cycles. This work provides a new possibility for design and industrial implementation of MnS as advanced anode materials for LIBs.
Color‐Tunable Multifunctional Excited‐State Intramolecular Proton Transfer Emitter: Stimulated Emission of a Single Dye
Authors: Durko‐Maciag Martyna , Jacquemin Denis , Ulrich Gilles , Massue Julien , Mysliwiec Jaroslaw 
Published: May 2022

AbstractThe excited‐state intramolecular proton transfer chromophores were regarded as good materials for laser action generation due to their inherent four‐level photocycle. The excitation‐dependent properties of these compounds enable light amplification from two distinct forms: both enol and keto, making it possible to obtain dual fluorescence emission. Herein, we report that a third option is possible for the first time stimulated emission was realized with a deprotonated ESIPT molecule based on a novel rigidified 2‐(2’‐hydroxyphenyl)benzothiazole derivative, triggering the possibility to fabricate real‐time tunable active material. Through the rational engineering of the ratio of each emissive species, a red‐green‐blue device was fabricated with the possibility of white light generation. The degenerated two‐wave mixing setup was applied to construct a continuously tunable distributed feedback laser.
Lateral migration of cylindrical particle in a constricted microchannel—A numerical study
Authors: Neeraj Manjappatta Pazhiyottumana , Maniyeri Ranjith 
Published: May 2022

AbstractInertial migration of a single cylindrical particle in a constricted microchannel is addressed in this work. A computational model (two‐dimensional) has been constructed with the assistance of the immersed boundary finite volume method. The feedback forcing strategy is utilized for the simulation of lateral migration. The parameters like equilibrium position, migration time, and shortest equilibrium distance are computed to analyze the inertial migration characteristics of the particle. Also, a comprehensive parametric study has been performed on the migration behaviour of particles inside the constricted channel by addressing the effects of Reynolds number, diameter, initial release position, and constriction clearance. The parametric study shows that the equilibrium position changes with variations in the initial release position and particle diameter. On the other hand, it stays unaffected by changes in Reynolds number and constriction clearance. The parameters like the shortest equilibrium distance and migration time increase with a rise in Reynolds number and particle diameter. On the other hand, it reduces with the reduction in constriction clearance. Inspired by the parametric study results, in the following stage, a prediction model is created with an artificial neural network algorithm. This is used for an effective forecast of equilibrium position, migration time, and shortest equilibrium distance. Further, the computational model is utilized to check for the existence of a critical Reynolds number for the particle movement in a constricted microchannel. It is observed that the critical Reynolds number remains unchanged with a change in particle diameter. However, it increases linearly with an increase in constriction clearance.
Retrospective study of EGFR‐mutant lung adenocarcinoma with bone metastatic clinical features
Authors: Gu Liyan , Gong Ting , Ma Qing , Zhong Diansheng 
Published: May 2022

AbstractBackgroundWith more and more target medicine application in lung cancer, lots of patients take medicine at home, the treatment bone metastasis and screen of bone metastasis always has been neglected until skeletal‐related events (SREs) such as bone pain, hypercalcemia of malignancy and pathologic fractures emerging which significantly impairs the patients' daily activity ability, seriously lower quality of life.AimTo identify the clinical characteristics of patients which influence the overall survival (OS) of EGFR‐TKIs effective in EGFR‐mutant NSCLC with bone metastasis (BM) and the bone metastatic image features.MethodsWe conducted a retrospective study in patients (treated with EGFR‐TKIs ≥6 months) of lung adenocarcinoma with BM in our hospital from October 2014 to October 2017. The Kaplan–Meier survival curves were calculated using the log‐rank univariate test. Multivariate regression analysis was conducted using Cox's regression model. Comparison between the different subgroups of bone metastasis was conducted using Pearson Chi‐Square test.ResultsA total of 79 patients were diagnosed as EGFR‐mutant lung adenocarcinoma with bone metastases. At univariate analysis, age < 65 years (p = .024), heavy smoking (p = .005), Osteolytic BM (p = .034), number of bone metastasis ≥3 (p = .032), EGFR‐L858R mutated (p = .018) and bisphosphonate times <6 (p = .046), were significantly associated with worse overall survival (OS). At multivariate analysis, EGFR 19del was an independent predictor of better OS (p = .035). Osteolytic BM was more likely to occur in EGFR‐mutant patients (osteolytic vs. sclerotic vs. mixed: 45.57% vs. 34.18% vs. 20.25%). Patients who had received bisphosphonate ≥6 times were less suffer from SRE compared to those treated with bisphosphonate <6 times (p = .019).ConclusionIn conclusions, this retrospective study suggests that for the patients, treated with EGFR‐TKIs ≥6 months, EGFR exon 19 del, osteogenic bone metastasis, bisphosphonate application times ≥6, smoking <400/day and the number of BM <3 were predictors of better OS (p < .05). Bisphosphonate times ≥9 should be considered to the patients with BM. SPECT–CT would be an effective correction of SPECT in the patient's bone metastasis examination. During the whole follow‐up process, we found by chance that the change of bone mineral density in the follow‐up process suggested that bisphosphonates need to be used for more than 1 year or more, and we can use local CT in the follow‐up clinical practice to confirm the bone density changes to decide when we could stop or reduce bisphosphonate application.
Analytical Approaches for the Segmentation of the Zebrafish Brain Vasculature
Authors: Kugler Elisabeth C. , Rampun Andrik , Chico Timothy J. A. , Armitage Paul A. 
Published: May 2022

With advancements in imaging techniques, data visualization allows new insights into fundamental biological processes of development and disease. However, although biomedical science is heavily reliant on imaging data, interpretation of datasets is still often based on subjective visual assessment rather than rigorous quantitation. This overview presents steps to validate image processing and segmentation using the zebrafish brain vasculature data acquired with light sheet fluorescence microscopy as a use case.Blood vessels are of particular interest to both medical and biomedical science. Specific image enhancement filters have been developed that enhance blood vessels in imaging data prior to segmentation. Using the Sato enhancement filter as an example, we discuss how filter application can be evaluated and optimized. Approaches from the medical field such as simulated, experimental, and augmented datasets can be used to gain the most out of the data at hand. Using such datasets, we provide an overview of how biologists and data analysts can assess the accuracy, sensitivity, and robustness of their segmentation approaches that allow extraction of objects from images. Importantly, even after optimization and testing of a segmentation workflow (e.g., from a particular reporter line to another or between immunostaining processes), its generalizability is often limited, and this can be tested using double‐transgenic reporter lines. Lastly, due to the increasing importance of deep learning networks, a comparative approach can be adopted to study their applicability to biological datasets.In summary, we present a broad methodological overview ranging from image enhancement to segmentation with a mixed approach of experimental, simulated, and augmented datasets to assess and validate vascular segmentation using the zebrafish brain vasculature as an example. © 2022 The Authors. Current Protocols published by Wiley Periodicals LLC.Highlights
Simulated, experimental, and augmented datasets provide an alternative to overcome the lack of segmentation gold standards and phantom models for zebrafish cerebrovascular segmentation.
Direct generalization of a segmentation approach to the data for which it was not optimized (e.g., different transgenics or antibody stainings) should be treated with caution.
Comparison of different deep learning segmentation methods can be used to assess their applicability to data. Here, we show that the zebrafish cerebral vasculature can be segmented with U‐Net–based architectures, which outperform SegNet architectures.
Shambhala‐2: A Protocol for Uniformly Shaped Harmonization of Gene Expression Profiles of Various Formats
Authors: Borisov Nicolas , Sorokin Maksim , Zolotovskaya Marianna , Borisov Constantin , Buzdin Anton 
Published: May 2022

AbstractUniformly shaped harmonization of gene expression profiles is central for the simultaneous comparison of multiple gene expression datasets. It is expected to operate with the gene expression data obtained using various experimental methods and equipment, and to return harmonized profiles in a uniform shape. Such uniformly shaped expression profiles from different initial datasets can be further compared directly. However, current harmonization techniques have strong limitations that prevent their broad use for bioinformatic applications. They can either operate with only up to two datasets/platforms or return data in a dynamic format that will be different for every comparison under analysis. This also does not allow for adding new data to the previously harmonized dataset(s), which complicates the analysis and increases calculation costs. We propose here a new method termed Shambhala‐2 that can transform multi‐platform expression data into a universal format that is identical for all harmonizations made using this technique. Shambhala‐2 is based on sample‐by‐sample cubic conversion of the initial expression dataset into a preselected shape of the reference definitive dataset. Using 8390 samples of 12 healthy human tissue types and 4086 samples of colorectal, kidney, and lung cancer tissues, we verified Shambhala‐2's capacity in restoring tissue‐specific expression patterns for seven microarray and three RNA sequencing platforms. Shambhala‐2 performed well for all tested combinations of RNAseq and microarray profiles, and retained gene‐expression ranks, as evidenced by high correlations between different single‐ or aggregated gene expression metrics in pre‐ and post‐Shambhalized samples, including preserving cancer‐specific gene expression and pathway activation features. © 2022 Wiley Periodicals LLC.Basic Protocol: Shambhala‐2 harmonizerAlternate Protocol 1: Linear Shambhala/Shambhala‐1Alternate Protocol 2: Alternative (flexible‐format and uniformly shaped) normalization methodsSupport Protocol 1: Watermelon multisection (WM)Support Protocol 2: Calculation of cancer‐to‐normal log‐fold‐change (LFC) and pathway activation level (PAL)