bluuebunny/crossref_metadata_2025_split huggingface dataset:
flowSim: Near duplicate detection for flow cytometry data
Authors: Montante Sebastiano , Chen Yixuan , Brinkman Ryan R. 
Published: August 2023

AbstractThe analysis of large amounts of data is important for the development of machine learning (ML) models. flowSim is the first algorithm designed to visualize, detect and remove highly redundant information in flow cytometry (FCM) training sets to decrease the computational time for training and increase the performance of ML algorithms by reducing overfitting. flowSim performs near duplicate image detection by combining community detection algorithms with the density analysis of the marker expression values. flowSim clustering compared to consensus manual clustering on a dataset composed of 160 images of bivariate FCM data had a mean Adjusted Rand Index of 0.90, demonstrating its efficiency in identifying similar patterns. flowSim selectively discarded near duplicate files in datasets constructed with known redundancy, and removed 92.6% of FCM images in a dataset of over 500,000 drawn from public repositories.
Embedding communication concepts in forecasting training increases students' understanding of ecological uncertainty
Authors: Woelmer Whitney M. , Moore Tadhg N. , Lofton Mary E. , Thomas R. Quinn , Carey Cayelan C. 
Published: August 2023

AbstractCommunicating and interpreting uncertainty in ecological model predictions is notoriously challenging, motivating the need for new educational tools, which introduce ecology students to core concepts in uncertainty communication. Ecological forecasting, an emerging approach to estimate future states of ecological systems with uncertainty, provides a relevant and engaging framework for introducing uncertainty communication to undergraduate students, as forecasts can be used as decision support tools for addressing real‐world ecological problems and are inherently uncertain. To provide critical training on uncertainty communication and introduce undergraduate students to the use of ecological forecasts for guiding decision‐making, we developed a hands‐on teaching module within the Macrosystems Environmental Data‐Driven Inquiry and Exploration (EDDIE; MacrosystemsEDDIE.org) educational program. Our module used an active learning approach by embedding forecasting activities in an R Shiny application to engage ecology students in introductory data science, ecological modeling, and forecasting concepts without needing advanced computational or programming skills. Pre‐ and post‐module assessment data from more than 250 undergraduate students enrolled in ecology, freshwater ecology, and zoology courses indicate that the module significantly increased students' ability to interpret forecast visualizations with uncertainty, identify different ways to communicate forecast uncertainty for diverse users, and correctly define ecological forecasting terms. Specifically, students were more likely to describe visual, numeric, and probabilistic methods of uncertainty communication following module completion. Students were also able to identify more benefits of ecological forecasting following module completion, with the key benefits of using forecasts for prediction and decision‐making most commonly described. These results show promise for introducing ecological model uncertainty, data visualizations, and forecasting into undergraduate ecology curricula via software‐based learning, which can increase students' ability to engage and understand complex ecological concepts.
A Dibismuthane with Olefin Functional Groups: Towards Tridentate Hybrid Chalcogen/Olefin Ligands
Authors: Geist Felix , Martínez Sebastián , Ramler Jacqueline , Oberdorf Kai , Brändler Lisa , Reith Sascha , Lichtenberg Crispin 
Published: August 2023

AbstractBis[dibenzobismepine], a dibismuthane composed of two bismepine units (R2Bi−BiR2), was synthesized and fully characterized (R2=(C6H4CH)2). Reactions of this dibismuthane with diphenyl dichalcogenides, dibenzoylperoxide, and elemental chalcogens have been investigated. All products of these reactions have been isolated and fully characterized, including a series of compounds R2Bi−E−BiR2 (E=O−Te). These species contain two olefin units of the bismepine moieties and a chalcogen atom as potential coordination sites. The potential of these species to act as hybrid tridentate chalcogen/olefin ligands with bismuth atoms as structure‐determining elements in the backbone has been investigated by theoretical approaches, aiming at the complexation of CoI, RhI, IrI and Ni0, Pd0, Pt0. The analytical techniques applied in this work include heteronuclear and 2D NMR spectroscopy, elemental analysis, single‐crystal X‐ray diffraction analysis, and DFT calculations.
Quality of Experience (QoE)‐based joint admission control and power allocation with guaranteed data rate
Authors: Zabetian Negar , Khalaj Babak Hossein 
Published: August 2023

AbstractService providers use objective models to map system quality of service (QoS) conditions to an estimated mean opinion score (MOS) in order to assess users' quality of experience (QoE). In contrast with earlier studies, we propose a hybrid model for call services that models the MOS in terms of the received signal strength indicator (RSSI) using a machine learning approach. Unlike most existing studies, which focus on maximizing the sum‐MOS of all users, we aim to maximize the average number of satisfied users in order to allocate optimal power to each user while ensuring the minimum data rate for each of them. Simulation results show that the proposed hybrid model outperforms the conventional objective model in terms of MOS per user and the probability of user satisfaction. Furthermore, when compared to conventional sum‐MOS and sum‐rate maximization problems, users are more satisfied with the proposed problem. In addition, we will present a joint power allocation and admission control problem due to the limited power available to meet the needs of all users. The findings show a trade‐off between the number of admitted users and their level of satisfaction, giving operators valuable insight into how to better utilize their network resources.
Lasting scars: The impact of depression in early adulthood on subsequent labor market outcomes
Authors: Wang Buyi , Frank Richard , Glied Sherry 
Published: August 2023

AbstractA growing body of evidence indicates that poor health early in life can leave lasting scars on adult health and economic outcomes. While much of this literature focuses on childhood experiences, mechanisms generating these lasting effects—recurrence of illness and interruption of human capital accumulation—are not limited to childhood. In this study, we examine how an episode of depression experienced in early adulthood affects subsequent labor market outcomes. We find that, at age 50, people who had met diagnostic criteria for depression when surveyed at ages 27–35 earn 10% lower hourly wages (conditional on occupation), work 120–180 fewer hours annually, and earn 24% lower annual wage incomes. A portion of this income penalty (21%–39%) occurs because depression is often a chronic condition, recurring later in life. But a substantial share (25%–55%) occurs because depression in early adulthood disrupts human capital accumulation, by reducing work experience and by influencing selection into occupations with skill distributions that offer lower potential for wage growth. These lingering effects of early depression reinforce the importance of early and multifaceted intervention to address depression and its follow‐on effects in the workplace.
Incorporating the benefits of vegetative filter strips into risk assessment and risk management of pesticides
Authors: Chen Huajin , Carley Danesha Seth , Muñoz-Carpena Rafael , Ferruzzi Giulio , Yuan Yongping , Henry Eric , Blankinship Amy , Veith Tamie L. , Breckels Ross , Fox Garey , Luo Yuzhou , Osmond Deanna , Preisendanz Heather E. , Tang Zhenxu , Armbrust Kevin , Costello Kevin , McConnell Laura L. , Rice Patricia , Westgate Johnny , Whiteside Mélanie 
Published: August 2023

Abstract
The pesticide registration process in North America, including the USA and Canada, involves conducting a risk assessment based on relatively conservative modeling to predict pesticide concentrations in receiving waterbodies. The modeling framework does not consider some commonly adopted best management practices that can reduce the amount of pesticide that may reach a waterbody, such as vegetative filter strips (VFS). Currently, VFS are being used by growers as an effective way to reduce off-site movement of pesticides, and they are being required or recommended on pesticide labels as a mitigation measure. Given the regulatory need, a pair of multistakeholder workshops were held in Raleigh, North Carolina, to discuss how to incorporate VFS into pesticide risk assessment and risk management procedures within the North American regulatory framework. Because the risk assessment process depends heavily on modeling, one key question was how to quantitatively incorporate VFS into the existing modeling approach. Key outcomes from the workshops include the following: VFS have proven effective in reducing pesticide runoff to surface waterbodies when properly located, designed, implemented, and maintained; Vegetative Filter Strip Modeling System (VFSMOD), a science-based and widely validated mechanistic model, is suitable for further vetting as a quantitative simulation approach to pesticide mitigation with VFS in current regulatory settings; and VFSMOD parametrization rules need to be developed for the North American aquatic exposure assessment. Integr Environ Assess Manag 2024;20:454–464. © 2023 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
From nature to therapy: Luteolin's potential as an immune system modulator in inflammatory disorders
Authors: Hussain Md Sadique , Gupta Gaurav , Goyal Ahsas , Thapa Riya , almalki Waleed Hassan , Kazmi Imran , Alzarea Sami I. , Fuloria Shivkanya , Meenakshi Dhanalekshmi Unnikrishnan , Jakhmola Vikas , Pandey Manisha , Singh Sachin Kumar , Dua Kamal 
Published: August 2023

AbstractInflammation is an essential immune response that helps fight infections and heal tissues. However, chronic inflammation has been linked to several diseases, including cancer, autoimmune disorders, cardiovascular diseases, and neurological disorders. This has increased interest in finding natural substances that can modulate the immune system inflammatory signaling pathways to prevent or treat these diseases. Luteolin is a flavonoid found in many fruits, vegetables, and herbs. It has been shown to have anti‐inflammatory effects by altering signaling pathways in immune cells. This review article discusses the current research on luteolin's role as a natural immune system modulator of inflammatory signaling mechanisms, such as its effects on nuclear factor‐kappa B, mitogen‐activated protein kinases, Janus kinase/signal transducer and activator of transcription, and inflammasome signaling processes. The safety profile of luteolin and its potential therapeutic uses in conditions linked to inflammation are also discussed. Overall, the data point to Luteolin's intriguing potential as a natural regulator of immune system inflammatory signaling processes. More research is needed to fully understand its mechanisms of action and possible therapeutic applications.
The importance of pulmonary pulse transit time in indicating right ventricular dysfunction and pulmonary arterial stiffness in rheumatoid arthritis
Authors: Ulutas Zeynep , Tasolar Hakan , Bayramoglu Adil , Yigit Yakup , Kuloglu Huseyın Emre , Karaca Yucel , Yolbas Servet , Hidayet Siho , Akaycan Julide 
Published: August 2023

AbstractSubjectRheumatoid arthritis patients are at risk of developing cardiovascular disease such as right heart failure and pulmonary hypertension (PH). Arterial stiffness can be used to assess pulmonary hemodynamics. Noninvasive approaches can also be used to assess pulmonary hemodynamics. Recently, there have been reports that pulmonary pulse transit time (PPTT) may also be a useful measure. This study aims to examine the effects of pulmonary hemodynamic alterations on PPTT in RA patients.MethodsForty RA patients and 40 healthy controls were included in the study. Sociodemographic characteristics, laboratory data, and echocardiographic examinations were performed in both groups. Conventional echocardiographic examination included left and right ventricular systolic and diastolic diameters, right ventricular myocardial performance index (RVMPI), right ventricular diastolic function, estimated pulmonary artery systolic pressure (sPAP), tricuspid annular plane systolic excursion (TAPSE), pulmonary artery stiffness (PAS), and PPTT. Right ventricular diastolic and systolic volumes, right ventricular ejection fraction (RVEF), and right ventricular fractional area change (RVFAC) were determined by four‐dimensional echocardiography (4DE).ResultsThere was no difference between the sPAP values of the patients. RVMPI and PAS were increased in RA patients compared with controls. The PPTT was shortened in RA patients and correlated with RVEF, RVFAC, RVMPI, TAPSE/sPAP, disease duration, and C‐reactive protein (CRP). In univariate linear regression analysis, PPTT (p < .001) was thought to be an independent predictor of PAS. RVFAC, disease duration, and PAS were also independent predictors of PPTT.ConclusionIn RA patients, PPTT may be the first evidence of early abnormalities in pulmonary vascular hemodynamics. PPTT and PAS are the values that may predict each other in RA patients. Due to its more practical application, PPTT can be used instead of PAS to assess pulmonary hemodynamics.
Fifty years of research on mitochondrial fatty acid oxidation disorders: The remaining challenges
Authors: Vianey‐Saban Christine , Guffon Nathalie , Fouilhoux Alain , Acquaviva Cécile 
Published: August 2023

AbstractSince the identification of the first disorder of mitochondrial fatty acid oxidation defects (FAOD) in 1973, more than 20 defects have been identified. Although there are some differences, most FAOD have similar clinical signs, which are mainly due to energy depletion and toxicity of accumulated metabolites. However, some of them have an unusual clinical phenotype or specific clinical signs. This manuscript focuses on what we have learnt so far on the pathophysiology of these disorders, which present with clinical signs that are not typical of categorical FAOD. It also highlights that some disorders have not yet been identified and tries to make assumptions to explain why. It also deals with new treatments under consideration in FAOD, including triheptanoin and similar anaplerotic substrates, ketone body treatments, RNA and gene therapy approaches. Finally, it suggests challenges for the diagnosis of FAOD in the coming years, both for symptomatic patients and for those diagnosed through newborn screening. The ultimate goal would be to identify all the patients born with FAOD and ensure for them the best possible quality of life.
Gene therapy for organic acidemias: Lessons learned from methylmalonic and propionic acidemia
Authors: Chandler Randy J. , Venditti Charles P. 
Published: August 2023

AbstractOrganic acidemias (OA) are a group of rare autosomal recessive disorders of intermediary metabolism that result in a systemic elevation of organic acid. Despite optimal dietary and cofactor therapy, OA patients still suffer from potentially lethal metabolic instability and experience long‐term multisystemic complications. Severely affected patients can benefit from elective liver transplantation, which restores hepatic enzymatic activity, improves metabolic stability, and provides the theoretical basis for the pursuit of gene therapy as a new treatment for patients. Because of the poor outcomes reported in those with OA, especially methylmalonic and propionic acidemia, multiple gene therapy approaches have been explored in relevant animal models. Here, we review the results of gene therapy experiments performed using MMA and PA mouse models to illustrate experimental paradigms that could be applicable for all forms of OA.
Alveolar mucosal cell spheroids promote extraction socket healing and osseous defect regeneration
Authors: Tu Che‐Chang , Zheng Zhao‐Cheng , Cheng Nai‐Chen , Yu Jiashing , Tai Wei‐Chiu , Pan Yi‐Xuan , Chang Po‐Chun 
Published: August 2023

AbstractBackgroundAlveolar mucosa could be a promising source of mesenchymal stem cells (MSCs) for regeneration therapeutics because it exhibits faster healing potential and can be easily collected with minimal periodontal disturbance. This study aimed to evaluate the potential of alveolar mucosal cell (AMC) spheroids for promoting extraction socket healing and calvarial osseous defect regeneration.MethodsAMCs were isolated from Sprague–Dawley rats. Antigenic and MSC surface marker expressions and trilineage differentiation capability were assessed. AMCs were then osteogenically stimulated (OAs) or unstimulated (UAs), self‐aggregated to form spheroids, and encapsulated in gelatin hydrogel to fill rat extraction sockets or combined with freeze‐dried bone graft (FDBG) to fill rat calvarial osseous defects. The outcome was assessed by gross observation, micro‐CT imaging, and immunohistochemistry.ResultsAMCs highly expressed MSC surface markers, showed weak antigenicity, and were capable of trilineage differentiation at Passage 3. In the extraction sockets, wound closure, socket fill, keratinization, and proliferative activities were accelerated in those with AMC spheroids treatment. Socket fill and maturation were further promoted by OA spheroids. In the calvarial osseous defects, the mineralized tissue ratio was promoted with AMC spheroids/FDBG treatment, and bone sialoprotein expression and cell proliferation were more evident with OA spheroids/FDBG treatment.ConclusionAMCs exhibited MSC properties with weak antigenicity. AMC spheroids promoted extraction socket healing, AMC spheroids/FDBG promoted calvarial osseous defect regeneration, and the outcomes were further enhanced by osteogenically stimulation of AMCs.
The effect of dipeptidyl peptidase‐4 inhibitor on incidence and clinical course in bullous pemphigoid patients in a tertiary medical center
Authors: Hsu Yu‐Han Alice , Yang Ting‐Ting , Huang Shu‐Mei , Lan Cheng‐Che Eric 
Published: August 2023

AbstractSeveral studies have reported an association between dipeptidyl peptidase 4 inhibitor (DPP4i), a commonly prescribed second‐line oral antihyperglycemic drug, and bullous pemphigoid (BP). However, the benefits of DPP4i withdrawal in patients with BP remain controversial. This study primarily aimed to evaluate the clinical severity of DPP4i‐associated BP by comparing it to those without Type 2 diabetes mellitus (DM). The secondary objective was to determine whether cessation of DPP4i is necessary for all patients with BP. This retrospective case–control study included 83 patients. The participants were divided into three groups according to their diabetic status and the status of discontinuance or continuance of DPP4i. The 12‐month follow‐up of the monthly dosage of systemic steroids per body weight (kg) and the percentage of systemic steroid off‐therapy in these participants were recorded since the diagnosis of BP. Compared to patients with BP without DM, the 1st, 3rd, and 12th systemic prednisolone doses were significantly lower in the DPP4i group (p = 0.01684, 0.02559, and 0.009336, respectively). The 12th systemic prednisolone dose was significantly lower in patients who discontinued DPP4i (p = 0.0338). Nevertheless, several spontaneous remissions with systemic steroid off‐therapy were also noted in the DPP4i‐continuance group within 12 months of follow‐up. This article supports the favorable impact of DPP4i withdrawal in patients with BP and shows that DPP4i may incite or aggravate BP, resulting in a milder disease course.
Paeoniflorin inhibits colorectal cancer cell stemness through the miR‐3194‐5p/catenin beta‐interacting protein 1 axis
Authors: Su Zhao , Hu Beier , Li Jing , Zeng Zhichun , Chen Hu , Guo Yuhang , Mao Yun , Cao Wen 
Published: August 2023

AbstractPaeoniflorin (PF) is a natural plant ingredient with remarkable antitumor effects. Herein, we investigated the biological effects and mechanism of PF in colorectal cancer (CRC) cell stemness. The messenger RNA (mRNA) and protein expressions were assessed using quantitative real‐time polymerase chain reaction and western blot. The viability, proliferation, and migration and invasion of CRC cells were evaluated using cell counting kit‐8, clone‐formation, and transwell migration and invasion assays, respectively. The sphere‐formation capacity was determined using the sphere‐formation assay. A dual‐luciferase reporter gene assay was employed to analyze the interaction between miR‐3194‐5p and catenin beta‐interacting protein 1 (CTNNBIP1). The viability, migration, invasion, epithelial–mesenchymal transition, and stemness of CRC cells were repressed by PF. MiR‐3194‐5p was upregulated in CRC tissues and cells. MiR‐3194‐5p knockdown suppressed CRC cell stemness, while miR‐3194‐5p overexpression had the opposite effect. In addition, the inhibition of CRC cell stemness caused by PF was eliminated by miR‐3194‐5p overexpression. CTNNBIP1 functioned as the target of miR‐3194‐5p, whose knockdown abrogated the repression of CRC cell stemness and Wnt/β‐catenin signaling activation by PF.PF regulated the miR‐3194‐5p/CTNNBIP1/Wnt/β‐catenin axis to repress CRC cell stemness.
Mass spectrometry in ocular drug research
Authors: del Amo Eva M. , Vellonen Kati‐Sisko , Urtti Arto , Terasaki Tetsuya , Hammid Anam , Honkakoski Paavo , Auriola Seppo 
Published: August 2023

AbstractMass spectrometry (MS) has been proven as an excellent tool in ocular drug research allowing analyzes from small samples and low concentrations. This review begins with a short introduction to eye physiology and ocular pharmacokinetics and the relevance of advancing ophthalmic treatments. The second part of the review consists of an introduction to ocular proteomics, with special emphasis on targeted absolute quantitation of membrane transporters and metabolizing enzymes. The third part of the review deals with liquid chromatography–MS (LC‐MS) and MS imaging (MSI) methods used in the analysis of drugs and metabolites in ocular samples. The sensitivity and speed of LC‐MS make simultaneous quantitation of various drugs and metabolites possible in minute tissue samples, even though ocular sample preparation requires careful handling. The MSI methodology is on the verge of becoming as important as LC‐MS in ocular pharmacokinetic studies, since the spatial resolution has reached the level, where cell layers can be separated, and quantitation with isotope‐labeled standards has come more reliable. MS will remain in the foreseeable future as the main analytical method that will progress our understanding of ocular pharmacokinetics.