bluuebunny/crossref_metadata_2025_split huggingface dataset:
The CD123 antibody–drug conjugate pivekimab sunirine exerts profound activity in preclinical models of pediatric acute lymphoblastic leukemia
Authors: Watts Ben , Smith Christopher M. , Evans Kathryn , Gifford Andrew J. , Mohamed Sara M. A. , Erickson Stephen W. , Earley Eric J. , Neuhauser Steven , Stearns Timothy M. , Philip Vivek M. , Chuang Jeffrey H. , Zweidler‐McKay Patrick A. , Lakshmikanthan Sribalaji , Jocoy Emily L. , Bult Carol J. , Teicher Beverly A. , Smith Malcolm A. , Lock Richard B. 
Published: January 2025

AbstractAntibody–drug conjugates (ADCs) combining monoclonal antibodies with cytotoxic payloads are a rapidly emerging class of immune‐based therapeutics with the potential to improve the treatment of cancer, including children with relapse/refractory acute lymphoblastic leukemia (ALL). CD123, the α subunit of the interleukin‐3 receptor, is overexpressed in ALL and is a potential therapeutic target. Here, we show that pivekimab sunirine (PVEK), a recently developed ADC comprising the CD123‐targeting antibody, G4723A, and the cytotoxic payload, DGN549, was highly effective in vivo against a large panel of pediatric ALL patient‐derived xenograft (PDX) models (n = 39). PVEK administered once weekly for 3 weeks resulted in a median event‐free survival (EFS) of 57.2 days across all PDXs. CD123 mRNA and protein expression was significantly higher in B‐lineage (n = 65) compared with T‐lineage (n = 25) ALL PDXs (p < 0.0001), and mice engrafted with B‐lineage PDXs achieved significantly longer EFS than those engrafted with T‐lineage PDXs (p < 0.0001). PVEK treatment also resulted in significant clearance of human leukemia cells in hematolymphoid organs in mice engrafted with B‐ALL PDXs. Notably, our results showed no direct correlation between CD123 expression and mouse EFS, indicating that CD123 is necessary but not sufficient for in vivo PVEK activity. Importantly, a PDX with very high CD123 cell surface expression but resistant to in vivo PVEK treatment, failed to internalize the G4723A antibody while remaining sensitive to the PVEK payload, DGN549, suggesting a novel mechanism of resistance. In conclusion, PVEK was highly effective against a large panel of B‐ALL PDXs supporting its clinical translation for B‐lineage pediatric ALL.
Early parent‐child interaction and home environments of children exposed prenatally to opioids: A comparison of biological mothers and out‐of‐home caregivers
Authors: Lee Samantha J. , Davie‐Gray Alison , Woodward Lianne J. 
Published: January 2025

AbstractChildren born to mothers with opioid use disorder (OUD) are at increased risk of maltreatment and out‐of‐home care (OOHC) placement. This study examines the parent‐child interaction quality and home environments of 92 New Zealand children with prenatal opioid exposure (OE) and 106 non‐opioid‐exposed (NE) children. Experiences for those in maternal care versus OOHC were of particular interest. Biological mothers completed a lifestyle interview during late pregnancy/at birth. At 18 months, parent‐child interaction observations, maternal/primary caregiver interviews, and the Home Observation for Measurement of the Environment were completed during a home visit. At age 4.5, children underwent developmental assessment. By 18 months, 20% of OE children were in OOHC. Mothers with OUD who were younger, less cooperative, and had increased polysubstance use during pregnancy were more likely to have lost custody of their child. OE children in their mother's care experienced less positive parenting and lower‐quality home environments than NE children. OE children in OOHC had similarly resourced environments to NE children, yet experienced lower levels of parental warmth and responsiveness. Early parenting predicted child cognition, language, and behavior 3 years later, underscoring the critical importance of supporting the parenting and psychosocial needs of OE children's parents/caregivers to improve long‐term outcomes.
Role of the veterinary surgeon in the treatment of oiled seabirds
Authors: Mihr Joanna 
Published: January 2025

Background: Seabirds are highly adapted to their marine environment and poorly tolerant of captivity. As rapid debilitation occurs when birds are contaminated with oil, the immediate initialisation of a high standard of care is essential to enhance outcomes when presented with contaminated patients. This article draws on the existing evidence base, along with personal experience, to provide guidance for clinicians working in veterinary practices on how to provide appropriate care.Aim of the article: The aim of this article is to provide the practitioner with a guide to the initial assessment, management and stabilisation of oiled seabirds.
Global collaborations to change the paradigm of oral health education and care: 2024 ADEA Annual Session Chair of the Board Symposium, Proceedings
Authors: Perez Herminio L. , Fuentes Ana N. Lopez , Benzian Habib , Chadwick Greg , Manzanares Maria Cristina , Marichi Francisco , Quinn Barry , van der Hoeven Dharini , Niessen Linda C. 
Published: January 2025

AbstractThe 2024 ADEA Annual Session Chair of the Board Symposium titled, Global Collaborations to Change the Paradigm in Oral Health Education and Care, aimed to highlight innovative global education models in oral health. The symposium sought to identify and explore opportunities for collaboration with international partners to ensure sustainable healthcare education to improve the oral health workforce. Additionally, it focused on discovering and adapting innovative solutions and best practices to enhance access to oral health services worldwide.
Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach
Authors: Smith Andria , van Wagoner Hunter Phoenix , Keplinger Ksenia , Celebi Can 
Published: January 2025

ABSTRACTTeams that combine human intelligence with artificial intelligence (AI) have become indispensable for solving complex tasks in various decision‐making contexts in modern organizations. However, the factors that contribute to AI convergence, where human team members align their decisions with those of their AI counterparts, still remain unclear. This study integrates signaling theory with self‐determination theory to investigate how specific signals—such as signal fit, optional AI advice, and signal set congruence—affect employees' AI convergence in human–AI teams. Based on four experimental studies conducted in facial recognition and hiring contexts with approximately 1100 participants, the findings highlight the significant positive impact of congruent signals from both human and AI team members on AI convergence. Moreover, providing an option for employees to solicit AI advice also enhances AI convergence; when AI signals are chosen by employees rather than forced upon them, participants are more likely to accept AI advice. This research advances knowledge on human–AI teaming by (1) expanding signaling theory into the human–AI team context; (2) developing a deeper understanding of AI convergence and its drivers in human–AI teams; (3) providing actionable insights for designing teams and tasks to optimize decision‐making in high‐stakes, uncertain environments; and (4) introducing facial recognition as an innovative context for human–AI teaming.
Effects of dietary oregano essential oil supplementation on carcass traits, muscle fiber structure, oxidative stability, meat quality, and regulatory mechanisms in Holstein steers
Authors: Huang Yongliang , Lei Yu , Shi Jinping , Liu Wangjing , Zhang Xiao , He Pengjia , Ma Yue , Zhang Xu , Cao Yongzhi , Cheng Qiang , Zhang Zhao , Lei Zhaomin 
Published: January 2025

AbstractBACKGROUNDDietary supplementation for beef cattle, using natural plant extracts, such as oregano essential oil (OEO), has proven effective in enhancing growth performance, beef production quantity and quality, and ensuring food safety. However, the precise mechanisms underlying these effects remain unclear. This study investigated the impact of OEO on carcass traits, muscle fiber structure, meat quality, oxidative status, flavor compounds, and gene regulatory mechanisms in the longissimus thoracis (LT) muscles of beef cattle. Eighteen steers were randomly assigned to two groups (n = 9 per group) and fed either a control diet (CK) or the same diet supplemented with 20 g of OEO per head per day for 300 days.RESULTSOregano essential oil supplementation improved the body weight, carcass weight, meat production, area and diameter of fiber, ether extract, and water‐holding power of muscle. Increasing catalase (CAT), peroxidases (POD), glutathione peroxidase (GSH‐Px) and by decreasing lipid droplets (LDs) reduced muscle lipid oxidation. However, the color (L*, a*, b*, C* and H°) and the flavor compounds of muscle were affected adversely by OEO. The transcriptome and metabolome indicated the OEO group enriched fat synthesis, proteo‐metabolism, antioxidants, and growth significantly. Five key genes (SH2B2, CD209, LOC504773, C1QC, and HMOX) and ten downregulated metabolites (deoxyguanosine, d‐melezitose, maltotriose, raffinose, melatonin, quinic acid, orotic acid, hydrocinnamic acid, 2‐methylsuccinic acid, and pyridoxal 5’‐phosphate) were identified as key biomarkers. These interacted to positively influence the growth, oxidative status, and meat quality of steers positively.CONCLUSIONThese findings suggest that OEO, as a natural bioactive compound, can serve as an additive for beef cattle, with a daily dose of 20 g per steer improving growth and meat quality, although it may affect muscle color and flavor negatively. © 2025 Society of Chemical Industry.
Nutrient pulse scenarios drive contrasting patterns in the functional stability of freshwater phytoplankton
Authors: Happe Anika , Buttyán Bence , Gergácz Bence , Langenheder Silke , Berger Stella A. , Nejstgaard Jens C. , Striebel Maren 
Published: January 2025

AbstractClimate change is increasing the frequency, intensity, and stochasticity of extreme weather events such as heavy rainfall, storm‐induced mixing, or prolonged drought periods. This results in more variable regimes of dissolved nutrients and carbon in lakes and induces temporal fluctuations in the resource availability for plankton communities, which can further lead to changes in growth and the cellular ratio of essential elements, such as carbon, nitrogen, and phosphorus. However, the current understanding of the effects of variations in regularity and frequency of precipitation events on both producer and consumer levels is limited by the lack of experimental studies examining processes at multiple trophic levels. In our mesocosm study, we added the same total amount of nitrate, phosphate, and colored dissolved organic matter (cDOM) to each mesocosm at pulses differing in frequency (daily, intermittent, or one extreme addition) and regularity (regular, irregular) over a simulated run‐off period followed by a recovery period. Our results showed that phytoplankton biomass fully recovered to control conditions from one extreme nutrient and cDOM pulse, whereas pulses of higher frequency gradually increased the biomass. In terms of stoichiometry, the extreme pulse led to the lowest stability in particulate C : P and N : P ratios. At the zooplankton level, copepod biomass decreased across all nutrient and cDOM additions, but no effects between the treatments were found. Overall, our study demonstrates that phytoplankton stability depends on the regularity and frequency of nutrient additions and differs substantially between biomass and stoichiometry, but the effects may be buffered on zooplankton level.
Efficient Measurement of Orbital Angular Momentum Entanglement Using Convolutional Neural Network
Authors: Zhao Jiaxian , Wang Min , Huang Shuang‐Yin , Ge Yu , Tu Chenghou , Li Yongnan , Wang Hui‐Tian 
Published: January 2025

AbstractHigh‐dimensional (HD) entanglement of photonic orbital angular momentum (OAM) offers significant potential for enhancing channel capacity and improving noise resistance in quantum information processing. However, the challenge of achieving simple and rapid measurement has limited its practical applications. In this work, a quantum state tomography (QST) framework is demonstrated that utilizes convolutional neural networks to rapidly reconstruct the density matrix of OAM entanglement from only two coincidence measurements. The experimental results for a 5D OAM entangled state yield a fidelity of 0.973 ± 0.005. This method is also applicable to mixed OAM entangled states and scenarios with incomplete tomographic measurements. These findings represent a significant step toward implementing high‐speed QST for applications involving HD spatial mode quantum state, whether in free space or integrated systems.
Flipping the Script: Harnessing Consumer Knowledge, Message Order and Refutation for Effective Two‐Sided Green Advertising
Authors: Bharti Megha , Bharti Mehak 
Published: January 2025

ABSTRACTGreen product advertisements often face credibility challenges due to perceived greenwashing, contributing to the attitude‐behavior gap in green consumption. This research examines the strategic use of two‐sided messaging through five experimental studies, assessing its impact on green consumption across various product categories. We explore the nuances of message order, demonstrating that placing the negative message first can either weaken or strengthen green product purchase based on consumers' knowledge of the green product category. This finding highlights that conventional order may not always be effective, especially in green marketing, where consumer knowledge varies. Furthermore, we explore the interactive effect of consumer knowledge in two‐sided messaging involving refutational appeals. Overall, our research offers valuable insights for marketers aiming to strategically leverage two‐sided advertising to enhance green product adoption.
Synthesis of Biomass‐Based Linear Aliphatic Polyesters Based on Sebacic Acid and 1,18‐Octadecanedioic Acid and Their Thermal Properties and Odd‐Even Effect
Authors: Loh Joshua Wen Jun , Chua Nam‐Hai , Goto Atsushi 
Published: January 2025

AbstractA series of biomass‐based linear aliphatic polyesters are synthesized by combining sebacic acid (SA) (C10 diacid) and 1,18‐octadecanedioic acid (OA) (C18 diacid) with a series of diols with varied alkyl chain lengths (C2 to C10 diols). SA and OA are obtainable from castor oil and palm oil, respectively. The reaction extent (polymerization extent) is high (≥96%) in all cases, and the number‐average molecular weight (Mn) is 10 000–43 000 g mol−1 after purification. A possible limitation of currently available biomass‐derived polyesters is their relatively low melting temperatures (Tm). The polyesters synthesized using OA with a long alkyl chain (C18 chain) in the present work exhibit relatively high Tm values of 78–93 °C, which are rather close to that (105–118 °C) of low‐density polyethylene (LDPE), and may serve as biomass‐based alternatives to LDPE with respect to thermal properties. Scientifically notably, an odd‐even effect is observed in the Tm values. Polyesters with an even total‐number of carbon atoms in the repeating unit have higher Tm values than their odd total‐number counterparts likely due to their different orientations of dipoles of the polar ester groups along the backbone chain.
Supply Chain Investment, Financing Schemes With the Uncertainty of Low‐Carbon Technology Innovation: Carbon Asset Pledge vs. Sell–Buyback?
Authors: Li Jiawen , Xu Xiaomin , Huang Shengzhong , Fu Hongyong 
Published: January 2025

ABSTRACTCarbon emissions are recognized as major contributors to the greenhouse effect, accelerating global warming. Meanwhile, technology innovation is acknowledged as a key determinant influencing carbon emissions. Therefore, implementing low‐carbon technology innovation (LCTI) becomes a critical approach to mitigating global warming. However, the uncertainty of LCTI and capital constraints hinder enterprises from adopting such innovations. Additionally, the constraints imposed by traditional financing channels exacerbate the predicament faced by enterprises. In this paper, we build a two‐echelon supply chain model in the context of LCTI uncertainty, consisting of a retailer with sufficient capital and a manufacturer facing capital constraints, where traditional financing channels are restricted, to explore the strategies of LCTI investments, carbon asset financing, and product pricing. The research findings are as follows: Firstly, LCTI does not consistently result in higher expected profits for the manufacturer. This means that the manufacturer may lack the willingness to invest in such endeavors unless the probability coefficient of success in LCTI surpasses a certain threshold. Conversely, the retailer always benefits as a free rider from the manufacturer's investment in low‐carbon technology. Secondly, both carbon asset pledge and sell–buyback financing can continuously increase the manufacturer's LCTI investments, but their impacts on the manufacturer's profits differ. Under pledge financing, higher LCTI investments imply greater profits for the manufacturer. In contrast, under sell–buyback financing, the impact may be either positive or negative, which depends on the fluctuation of carbon price. If carbon price escalates beyond a certain degree, sell–buyback financing may backfire. Yet, it also provides the opportunities for the manufacturer to maximize profits. Thirdly, improving LCTI investments can either benefit or harm the environment. This is contingent upon the relationship between the carbon emission ratio and the demand ratio. Win–win economic benefits and environmental performance can be achieved only when the carbon emission ratio is lower than the demand ratio. Finally, in the context of LCTI uncertainty, although carbon asset financing can enhance the manufacturer's LCTI investments and has the potential to improve the manufacturer's profits, it fails to prevent the retailer's free‐riding behavior. An LCTI cost‐sharing mechanism can limit such behavior and help the manufacturer and retailer reach a win–win outcome.
Multicenter Retrospective Analysis of Pediatric Differentiated Thyroid Carcinoma: Treatment Practices and Outcomes Prior to Pediatric American Thyroid Association Guidelines Implementation
Authors: Mahajan Priya , May Sarah Beth , Shekar Meghan , Werny David , Patterson Briana C. , Chan Christine M. , Aldrink Jennifer H. , Horvath Kyle Z. , Hawkins Douglas S. , Olson Thomas A. , Venkatramani Rajkumar 
Published: January 2025

ABSTRACTBackgroundDifferentiated thyroid carcinoma (DTC) is the most common pediatric thyroid malignancy, with papillary thyroid carcinoma (PTC) representing 90% of the cases. In 2015, the American Thyroid Association (ATA) developed management guidelines for pediatric DTC.ProcedurePatients less than 21 years of age diagnosed with DTC between 2000 and 2015 at Texas Children's Hospital, Seattle Children's Hospital, Children's Healthcare of Atlanta, Children's Hospital Colorado, and Nationwide Children's Hospital were retrospectively analyzed to evaluate treatment practices before the implementation of the ATA guidelines.ResultsWe included 216 pediatric patients with DTC. A majority were female (76%) with a median age at diagnosis of 14.8 years. Neck swelling (56%) and palpable nodules (49%) were common presenting symptoms. Diagnostic evaluations typically included thyroid ultrasound, with common features being microcalcifications (47.7%) and hypoechogenicity (39.0%). Fine‐needle aspiration cytology confirmed diagnosis in 50.5%. The majority of patients underwent total thyroidectomy (78.7%) and lymph node dissection (75.5%). ATA risk stratification was low, intermediate, and high risk in 111 (51.4%), 29 (13.4%), and 76 patients (35.2%), respectively. Upfront radioactive iodine (RAI) was administered in 83%. At 1‐year follow‐up, 46% were disease‐free (66% low risk, 59% intermediate risk, and 13% high risk). The 5‐year progression‐free survival for low, intermediate, and high risk were 86%, 53%, and 43%, respectively. The disease‐related overall survival was 100%.ConclusionsPrior to the introduction of the ATA guidelines, a majority of patients underwent total thyroidectomy with lymph node dissection followed by RAI. Selective use of RAI for low‐risk disease as recommended in the current guidelines may be appropriate.
Plasma‐Induced Thiol‐Ene Click Reaction for the Preparation of High‐Stability Perovskite Nanoplatelets
Authors: Wang Yikun , Wu Xiang , Lei Chuangchang , Li Yaohua , Ou Qiongrong , Zhang Shuyu 
Published: January 2025

ABSTRACTPerovskite nanoplatelets (NPLs) have garnered significant attention, however, their low resistance to light, heat, oxygen, and water has been recognized as a major barrier to practical applications. In this study, we developed cross‐linked NPL materials through an argon plasma‐induced thiol‐ene chemistry strategy. This was achieved by inducing a thiol‐ene click reaction between surface ligands containing carbon–carbon double bonds and the cross‐linker pentaerythritol tetrakis (3‐mercaptopropionate) (PTMP) via plasma irradiation. The results demonstrate that argon plasma irradiation can initiate the thiol‐ene click reaction, while also causing the carbon–carbon double bonds in the ligand to undergo cross‐linking. The polymerization of the ligands leads to the encapsulation of the NPLs within the polymer matrix, allowing for excellent stability performance.
The role of observations in ECMWF tropical cyclone initialisation and forecasting
Authors: Magnusson Linus , Majumdar Sharanya J. , Dahoui Mohamed L. , Bormann Niels , Bonavita Massimo , Browne Philip A. , Brown Andy R. , De Chiara Giovanna , Duncan David I. , English Stephen , Geer Alan J. , Healy Sean , Ingleby Bruce , McNally Anthony P. , Pappenberger Florian , Prates Fernando , Rabier Florence , de Rosnay Patricia , Rennie Michael P. , Warrick Francis 
Published: January 2025

AbstractIn a unique undertaking, 13 Observing System Experiments (OSEs) were conducted at the European Centre for Medium‐range Weather Forecasts (ECMWF) during a 37‐day period in August–September 2020, using the same 9‐km resolution as the operational data assimilation. These OSEs provided a unified framework to evaluate and understand the role of different types of observational data for tropical cyclone (TC) forecasts, keeping in mind that removing or adding individual types is expected to have a limited effect due to resilience in the full observation system. The strongest impact came from withholding of microwave radiance observations, which on average degraded the TC position for all evaluated lead times and central‐pressure forecasts out to three days, with some further improvement from all‐sky assimilation of Advanced Microwave Sounding Unit (AMSU‐A) temperature sounders to the TC position forecasts. Scatterometer data improved the forecasts of both quantities, with further improvements from reduced spatial thinning. The impact for other satellite data such as Global Navigation Satellite System (GNSS)‐RO, atmospheric motion vectors (AMVs) and Aeolus were mixed/neutral. While the aircraft‐borne data (dropsonde, flight‐level data) were mostly beneficial, further investigations on how to best use this data in the TC core are needed. The assimilation of interpolated hourly central pressure and position data estimated by forecasters had an overall positive impact on both position and central pressure. While this study has illustrated the difficulties in obtaining strong results for observation impact on TCs for an operational data assimilation system, including new observations and improvements to the use of existing ones are necessary to keep improving the accumulated positive effect from the observation system. Additionally, future work is needed to advance diagnostic tools to judge the impact of individual observation systems on TCs.