bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ensuring Full Spectrum Flow Cytometry Data Quality for High‐Dimensional Data Analysis
Authors: Ferrer‐Font Laura , Kraker Geoffrey , Hally Kathryn E. , Price Kylie M. 
Published: February 2023

AbstractFull spectrum flow cytometry (FSFC) allows for the analysis of more than 40 parameters at the single‐cell level. Compared to the practice of manual gating, high‐dimensional data analysis can be used to fully explore single‐cell datasets and reduce analysis time. As panel size and complexity increases so too does the detail and time required to prepare and validate the quality of the resulting data for use in downstream high‐dimensional data analyses. To ensure data analysis algorithms can be used efficiently and to avoid artifacts, some important steps should be considered. These include data cleaning (such as eliminating variable signal change over time, removing cell doublets, and antibody aggregates), proper unmixing of full spectrum data, ensuring correct scale transformation, and correcting for batch effects. We have developed a methodical step‐by‐step protocol to prepare full spectrum high‐dimensional data for use with high‐dimensional data analyses, with a focus on visualizing the impact of each step of data preparation using dimensionality reduction algorithms. Application of our workflow will aid FSFC users in their efforts to apply quality control methods to their datasets for use in high‐dimensional analysis, and help them to obtain valid and reproducible results. © 2023 Wiley Periodicals LLC.Basic Protocol 1: Data cleaningBasic Protocol 2: Validating the quality of unmixingBasic Protocol 3: Data scalingBasic Protocol 4: Batch‐to‐batch normalization
Walking the tightrope: Circular economy breadth and firm economic performance
Authors: D'Angelo Viviana , Cappa Francesco , Peruffo Enzo 
Published: February 2023

AbstractThe circular economy (CE) can bring benefits but also pitfalls to the production processes, affecting a firm's economic performance. Using data from European SMEs, we empirically investigate, from the perspective of self‐determination theory, the extent to which the breadth of CE activities, that is, the number of CE activities undertaken by a firm, affects a firm's economic performance. Our study theorizes and shows that there is an inverted U‐shaped effect brought about by the number of CE activities on economic performance. This research advances our scientific understanding of the CE and provides managers with suggestions on how to maximize the benefits generated by the CE in terms of economic performance by implementing the right amount of CE activities.
Health equity considerations in pragmatic trials in Alzheimer's and dementia disease: Results from a methodological review
Authors: Nicholls Stuart G. , Al‐Jaishi Ahmed A. , Niznick Harrison , Carroll Kelly , Madani Mohamad Tarek , Peak Katherine D. , Madani Leen , Nevins Pascale , Adisso Lionel , Li Fan , Weijer Charles , Mitchell Susan L. , Welch Vivian , Quiñones Ana R. , Taljaard Monica 
Published: February 2023

AbstractIntroductionTo improve dementia care delivery for persons across all backgrounds, it is imperative that health equity is integrated into pragmatic trials.MethodsWe reviewed 62 pragmatic trials of people with dementia published 2014 to 2019. We assessed health equity in the objectives; design, conduct, analysis; and reporting using PROGRESS‐Plus which stands for Place of residence, Race/ethnicity, Occupation, Gender/sex, Religion, Education, Socioeconomic status, Social capital, and other factors such as age and disability.ResultsTwo (3.2%) trials incorporated equity considerations into their objectives; nine (14.5%) engaged with communities; 4 (6.5%) described steps to increase enrollment from equity‐relevant groups. Almost all trials (59, 95.2%) assessed baseline balance for at least one PROGRESS‐Plus characteristic, but only 10 (16.1%) presented subgroup analyses across such characteristics. Differential recruitment, attrition, implementation, adherence, and applicability across PROGRESS‐Plus were seldom discussed.DiscussionOngoing and future pragmatic trials should more rigorously integrate equity considerations in their design, conduct, and reporting.Highlights
Few pragmatic trials are explicitly designed to inform equity‐relevant objectives.
Few pragmatic trials take steps to increase enrollment from equity‐relevant groups.
Disaggregated results across equity‐relevant groups are seldom reported.
Adherence to existing tools (e.g., IMPACT Best Practices, CONSORT‐Equity) is key.
Visible‐Light‐Induced Cross‐Dehydrogenative Coupling of Heteroarenes with Aliphatic Alcohols Mediated by Iodobenzene Dichloride
Authors: Yin Changzhen , Hu Peng 
Published: February 2023

AbstractWith the irradiation of visible light, α‐heteroarylation of aliphatic alcohol was selectively achieved under gentle conditions in the present of iodobenzene dichloride. The Minisci‐type cross‐dehydrogenative coupling reaction was performed in the absence of metal and acid. Readily available primary alcohols and electron‐withdrawing heteroarenes can be applied smoothly. Mechanism studies indicated that the PhICl radical and chlorine radical formed from iodobenzene dichloride were responsible for the selective hydrogen atom abstraction of alcohols.
Research on multi‐time scale modeling and interaction of electro‐thermal coupling integrated energy system
Authors: Tang Jian , Feng Xiaoxing , Liu Jianfeng , Kang Heran , Hao Xiaoqing 
Published: February 2023

AbstractWith the enhancement of the coupling degree and interaction of the electro‐thermal integrated energy system, the fault propagation characteristics under multi‐time scale characteristics become more complex, which may trigger cascading failures and affect the safe operation of the system. Therefore, this article proposes to construct a multi‐time scale comprehensive model based on the steady‐state model and quasi‐dynamic model of electro‐thermal coupling integrated energy system, and uses the strategy of global iteration combined with local simultaneous solution to calculate the energy flow distribution of electro‐thermal coupling system under multi‐time scale. Combined with the characteristics of multi‐time scale energy flow distribution, the interaction mechanism and the fault propagation process of electro‐thermal coupling are analyzed. The simple electro‐thermal coupling integrated energy system and Barry Island electro‐thermal coupling integrated energy system are used as examples to analyze the electro‐thermal coupling characteristics and interaction of the system. The calculation results show that the disturbance of both electrical and heat loads will have a certain impact on the power system and heating system. Due to the thermal inertia of the heating system, there is a large time delay of fault propagation in the heating system. In the process of operation and scheduling of the electro‐thermal coupling integrated energy system, the slow dynamic characteristics of the heating system and the positive effect of thermal inertia on resisting the uncertainty factors in the system should be fully considered.
Nonlinear prediction of functional time series
Authors: Wang Haixu , Cao Jiguo 
Published: February 2023

AbstractWe propose a nonlinear prediction (NOP) method for functional time series. Conventional methods for functional time series are mainly based on functional principal component analysis or functional regression models. These approaches rely on the stationary or linear assumption of the functional time series. However, real data sets are often nonstationary, and the temporal dependence between trajectories cannot be captured by linear models. Conventional methods are also hard to analyze multivariate functional time series. To tackle these challenges, the NOP method employs a nonlinear mapping for functional data that can be directly applied to multivariate functions without any preprocessing step. The NOP method constructs feature space with forecast information, hence it provides a better ground for predicting future trajectories. The NOP method avoids calculating covariance functions and enables online estimation and prediction. We examine the finite sample performance of the NOP method with simulation studies that consider linear, nonlinear and nonstationary functional time series. The NOP method shows superior prediction performances in comparison with the conventional methods. Three real applications demonstrate the advantages of the NOP method model in predicting air quality, electricity price and mortality rate.
EEG datasets for seizure detection and prediction— A review
Authors: Wong Sheng , Simmons Anj , Rivera‐Villicana Jessica , Barnett Scott , Sivathamboo Shobi , Perucca Piero , Ge Zongyuan , Kwan Patrick , Kuhlmann Levin , Vasa Rajesh , Mouzakis Kon , O'Brien Terence J. 
Published: February 2023

AbstractElectroencephalogram (EEG) datasets from epilepsy patients have been used to develop seizure detection and prediction algorithms using machine learning (ML) techniques with the aim of implementing the learned model in a device. However, the format and structure of publicly available datasets are different from each other, and there is a lack of guidelines on the use of these datasets. This impacts the generatability, generalizability, and reproducibility of the results and findings produced by the studies. In this narrative review, we compiled and compared the different characteristics of the publicly available EEG datasets that are commonly used to develop seizure detection and prediction algorithms. We investigated the advantages and limitations of the characteristics of the EEG datasets. Based on our study, we identified 17 characteristics that make the EEG datasets unique from each other. We also briefly looked into how certain characteristics of the publicly available datasets affect the performance and outcome of a study, as well as the influences it has on the choice of ML techniques and preprocessing steps required to develop seizure detection and prediction algorithms. In conclusion, this study provides a guideline on the choice of publicly available EEG datasets to both clinicians and scientists working to develop a reproducible, generalizable, and effective seizure detection and prediction algorithm.
Reliability analysis of structures using probability density evolution method and stochastic spectral embedding surrogate model
Authors: Das Sourav , Tesfamariam Solomon 
Published: February 2023

AbstractThis study presents an efficient reliability analysis method using probability density evolution method (PDEM) and stochastic spectral embedding (SSE) based surrogate model. The PDEM is used to estimate the structural response's probability density function (PDF). The PDEM is derived based on the principle of probability conservation where generalized density evolution equations (GDEEs) are decoupled from the physical system. The GDEEs are solved using finite difference method coupled with total variation diminishing, in which a set of representative points of random parameters are generated using the generalized F‐discrepancy scheme. To obtain satisfactory accuracy of the numerical solution, representative points are needed, which becomes computationally expensive for complex structures. To reduce the computation burden, the SSE is used, which approximates the original response surface. The SSE is a class of supervised machine learning algorithm where it is trained by few observations and enables output prediction as spectral representation. This is achieved by minimizing the residual using domain decomposition technique. To illustrate the proposed SSE‐based PDEM, three numerical examples are investigated, including the reliability analysis of four‐branch problem and shear building frame subjected to ground acceleration, and the reliability‐based design optimization of a moment‐resisting frame coupled with the nonlinear energy sink with negative stiffness and sliding friction. Numerical results show that the proposed SSE‐based PDEM can estimate failure probability using a very small number of representative points without compromising accuracy compared with Monte Carlo simulation, which leads to a reduction in computational costs.
Comparative evaluation of ethyl acetate and n‐Hexane extracts of Cannabis sativa L. leaves for muscle function restoration after peripheral nerve lesion
Authors: Maqbool Javeria , Anwar Haseeb , Rasul Azhar , Imran Ali , Saadullah Malik , Malik Shoaib Ahmad , Shabbir Asghar , Akram Rabia , Sajid Faiqa , Zafar Shamaila , Saeed Suman , Akram Muhammad Numan , Islam Fakhar , Hussain Ghulam , Islam Saiful 
Published: February 2023

AbstractPeripheral nerve injuries are one of those complex medical conditions for which a highly effective first‐line treatment is currently missing. The use of natural compound as medicines to treat various disorders has a long history. Our previous research explored that crude Cannabis sativa L. accelerated the recovery of sensorimotor functions following nerve injury. The purpose of the current study was to investigate the effects of n‐Hexane and ethyl acetate extracts of C. sativa L. leaves on the muscle function restoration in a mouse model after sciatic nerve injury. For this purpose, albino mice (n = 18) were equally divided into control and two treatment groups. The control group was fed on a plain diet while treatment groups were given a diet having n‐Hexane (treatment 1) and ethyl acetate (treatment 2) extracts of C. sativa L. (10 mg/kg body weight), respectively. The hot plate test (M = 15.61, SD = 2.61, p = .001), grip strength (M = 68.32, SD = 3.22, p < .001), and sciatic functional index (SFI) (M = 11.59, SD = 6.54, p = .012) assessment indicated significant amelioration in treatment 1 as compared to treatment 2 group. Furthermore, muscle fiber cross‐sectional area revealed a noticeable improvement (M = 182,319, SD = 35.80, p = .013) in treatment 1 while muscle mass ratio of Gastrocnemius (M = 0.64, SD = 0.08, p = .427) and Tibialis anterior (M = 0.57, SD = 0.04, p = .209) indicated nonsignificant change. A prominent increase in total antioxidant capacity (TAC) (M = 3.76, SD = 0.38, p < .001) and momentous decrease in total oxidant status (TOS) (M = 11.28, SD = 5.71, p < .001) along with blood glucose level indicated significant difference (M = 105.5, SD = 9.12, p < 0.001) in treatment 1 group. These results suggest that treatment 1 has the ability to speed up functional recovery after a peripheral nerve lesion. Further research is necessary, nevertheless, to better understand the extract's actual curative properties and the mechanisms that improve functional restoration.
MDM4 amplification in atypical lipomatous tumors/well‐differentiated liposarcoma: Private event or alternative oncogenic mechanism?
Authors: Gruel Nadège , El Zein Sophie , Tzanis Dimitri , Nicolas Nayla , Maraval Aurélien , Fieffe Christelle , Bonvalot Sylvie , Caly Martial , Fuhrmann Laetitia , Ait Rais Khadija , Jovelin Sylvie , Bonnet Clément , Pierron Gaëlle , Watson Sarah 
Published: February 2023

AbstractAdipocytic tumors are the most common mesenchymal tumors in soft tissues. Among them, a diagnostic challenge relies in the distinction between lipoma and atypical lipomatous tumor (ALT)/well differentiated liposarcoma (WDLPS), as both entities are often undistinguishable not only from a radiological point of view, but also at the microscopic level and particularly when dealing with small tumor specimen. Thus, detection of recurrent MDM2 amplifications may be the only criteria to discriminate malignant tumors from lipomas. In this study, we report the case of a patient diagnosed with a well differentiated, adipocytic tumor located in the inferior limb and lacking MDM2 amplification, whose diagnosis was reclassified for ALT/WDLPS after identification of an alternative MDM4 amplification by comparative genomic hybridization profiling, whole exome sequencing and fluorescence in situ hybridization (FISH). Screening of a cohort of 37 large, deep‐seated, well‐differentiated adipocytic tumors previously classified as lipomas using RT‐qPCR and FISH failed to detect other cases of MDM4‐amplified ALT/WDLPS. This report shows that MDM4 amplification is an exceptional molecular event alternative to MDM2 amplification in ALT/WDLPS. This alteration should be considered and looked for in suspicious adipocytic tumors to optimize their surgical management.
GAB1::ABL1 fusions define a distinctive soft tissue neoplasm, with variable perineurial differentiation, and a predilection for children and young adults
Authors: Agaimy Abbas , Perret Raul , Demicco Elizabeth G. , Gross John , Liu Yajuan J. , Azmani Rihab , Engelmann Carsten , Schubart Christoph , Seppet Joosep , Stoehr Robert , Le Loarer François , Dickson Brendan C. 
Published: February 2023

AbstractAlthough well known as a fusion partner in hematological malignancies, fusion genes involving the ABL proto‐oncogene 1 (ABL1), mapping to chromosomal region 9q34.12, have only been anecdotally reported in five soft tissue tumors. These neoplasms have been variously reported as perineurioma, angiofibroma, and solitary fibrous tumor, and all have harbored a GAB1::ABL1 gene fusion; however, the nosology and clinicopathological characteristics of soft tissue tumors carrying this rare fusion have not been delineated. We herein describe eight tumors containing the GAB1::ABL1 fusion and review previously reported cases in a series to define their morphological spectrum, address immunohistochemical evidence for a line of differentiation, with special reference to the presence or absence of a perineurial immunophenotype, and gather insight into their behavior. The patients included four females and four males, aged 13–37 years (median, 24 years). Two cases each originated in the shoulder area, trunk, hands, and lower extremities, with a size range of 1.5–8 cm (median, 3.4 cm). Four tumors were deep and four superficial. All tumors were morphologically similar, being composed of bland fibroblast‐like spindle to ovoid cells diffusely arranged in a paucivascular fibrous to fibromyxoid stroma with variable resemblance to soft tissue perineurioma. Mitotic activity was generally low (0–8 mitoses in 10 high‐power fields [HPFs]; median, 1). All lesions had at least focally infiltrative margins, but they otherwise lacked pleomorphism and necrosis. Immunohistochemistry showed focal reactivity for CD34 (5/7), epithelial membrane antigen (EMA) (3/8), claudin1 (2/3), GLUT1 (4/6), and S100 (2/7); other markers, including MUC4 (0/7), desmin (0/9), and smooth muscle actin (SMA) (0/4), were negative. RNA sequencing revealed a GAB1::ABL1 fusion in all cases with exon 6 of GAB1 fused to exon 2 of ABL1. Treatments included various forms of surgical intervention in seven cases; one tumor was biopsied only. Limited follow‐up was available for five patients. One tumor regrew rapidly within 1 month to 1.5 cm after an initial marginal excision and was re‐excised with close margins. Four patients were disease‐free at 1, 3, 14, and 25 months of follow‐up. Metastases have not, to date, been observed. This series characterizes “GAB1::ABL1 fusion‐positive spindle cell neoplasm” as a distinct entity, with overlapping features with soft tissue perineurioma and predilection for children and young adults.
Green bonds as a bridge to the UN sustainable development goals on environment: A climate change empirical investigation
Authors: Ahmed Rizwan , Yusuf Fatima , Ishaque Maria 
Published: February 2023

AbstractThe United Nations Sustainable Development Goals (SDGs) made an urgent call for action by all the countries across the globe, with an aim to end poverty, improve health and education, reduce inequality, and spur economic growth – all of this is intended to be achieved while tackling climate change and working to protect environment and preserve earth. However, these goals cannot be achieved unless money is mobilised to finance climate change mitigation and adaptation efforts across the world. In response, various manifestations of green bonds have appeared in the market and these are considered as a bridge to the achievement of the SDGs – this is because climate mitigation and adaptation are integral to successful implementation of the SDGs. Using the Capital Asset Pricing Model, Fama–French Three Factor, Carhart Four Factor and Fama–French Five Factor pricing models, our study provides empirical evidence that the announcement of green bonds issuance lead to positively abnormal return on stocks. We divided our dataset into two parts. The first part of the dataset is from 01/01/2013 to 30/06/2018 and later part analyses the period from 01/07/2018 to 30/06/2022. The consistent results highlight the firms' and investors' efforts towards climate action (SDG13) and strongly suggest that green bonds play an important role as a bridge to the SDGs.
Development and application of a large‐scale disaster preparedness system in the perinatal field
Authors: Tsuda Naotake , Unnno Nobuya , Nishigaya Yoshiko , Sugawara Junichi , Nakai Akihito , Kimura Tadashi 
Published: February 2023

AbstractObjectiveTo introduce the Perinatal Early Assessment and Communication system for Emergencies (PEACE), a dedicated internet‐based system for sharing maternal and newborn health information during large‐scale disaster.MethodsPEACE was developed by the Japan Society of Obstetrics and Gynecology (JSOG) to enable internet‐based sharing of maternal and newborn support information between facilities and rescue teams in disaster areas. PEACE input rates during prefecture‐scale disasters and in disaster drills were surveyed for two facility categories: centers for perinatal medical care (CPMs) and combined clinics + regional general hospitals.ResultsThe PEACE input rate was 60%–100% (mean 86%) for CPMs and 5%–86% (mean 47%) among clinics + regional general hospitals. After encouraging PEACE input from JSOG, the Japan Association of Obstetricians and Gynecologists (JAOG), and the disaster response departments of prefectural governments, input rates increased significantly from 74% to 98% in CPMs (P = 0.018) and from 14% to 80% in clinics + regional general hospitals (P = 0.020).ConclusionJSOG has established the first national system for sharing health information of pregnant women and newborns for use during disasters. The cooperation of prefectures and experience during disaster drills were critical to improving PEACE input rates.
Structurally diverse specialized metabolites of maize and their extensive biological functions
Authors: Zhou Huiwen , Hua Juan , Li Hongdi , Song Xinyu , Luo Shihong 
Published: February 2023

AbstractMaize originated in southern Mexico and various hybrid varieties have been bred during domestication. All maize tissues are rich in specialized plant metabolites (SPMs), which allow the plants to resist the stresses of herbivores and pathogens or environmental factors. To date, a total of 95 terpenoids, 91 phenolics, 31 alkaloids, and 6 other types of compounds have been identified from maize. Certain volatile sesquiterpenes released by maize plants attract the natural enemies of maize herbivores and provide an indirect defensive function. Kauralexins and dolabralexins are the most abundant diterpenoids in maize and are known to regulate and stabilize the maize rhizosphere microbial community. Benzoxazinoids and benzoxazolinones are the main alkaloids in maize and are found in maize plants at the highest concentrations at the seedling stage. These two kinds of alkaloids directly resist herbivory and pathogenic infection. Phenolics enhance the cross‐links between maize cell walls. Meanwhile, SPMs also regulate plant–plant relationships. In conclusion, SPMs in maize show a large diversity of chemical structures and broad‐spectrum biological activities. We use these to provide ideas and information to enable the improvement of maize resistances through breeding and to promote the rapid development of the maize industry.