bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is parity pricing enough? A critical analysis of parity pricing and the case for additional strategies
Authors: Howe Mecca , Palde Laxmi Prasanna R. , Leuthart Kassandra R. , Monroe Nicholas J. , Allen Oliver M. , Czebotar Kamila , Lich Kathleen M. , Babb Angela M. , Knudsen Daniel C. 
Published: July 2024

AbstractProducers in the U.S., particularly small-scale farmers and specialty crop growers, are unable to maintain their livelihoods with farming alone. This issue is convoluted by low farm gate prices stemming from the unequal distribution of market share and political support within the U.S. food supply chain. As a result, many farm activists and scholars have recommended a revitalization of parity pricing within U.S. policy. Parity pricing once served to set price floors considered to represent “fair” farm gate prices determined by the farm gate price and purchasing power of commodities during the parity period of 1910–1914. In this paper, we evaluate whether parity did exist during the set period of 1910–1914, showing farm incomes and non-farm incomes were not significantly different from one another during the parity period. We then explore the extent to which parity prices correspond to farm-gate prices, transfer terminal prices, and retail prices for a select group of twelve specialty crops. We show that farm gate prices are significantly lower than parity prices, do not necessarily translate into low prices for consumers, and do not consistently correlate with production costs. Lastly, we display the temporal correspondence between the end of parity pricing and declines in farm income. Our analysis contributes important evidence of the inequalities within production, payment, and pricing structures of specialty crops in the U.S. As such, we provide a critique of parity pricing arguing that parity pricing alone will not be sufficient to solve the complex and deeply rooted issues underpinning low farm gate prices and injustices within the U.S. food system. We conclude with a discussion of the impacts of low farm gate prices and areas for policy interventions.
Potential impact of climate change on Nearctic leafhopper distribution and richness in North America
Authors: Santos Abraão Almeida , Jacques Jordanne , Pérez-López Edel 
Published: July 2024

AbstractClimate change significantly contributes to shifts in the geographical range of pests and diseases. Leafhoppers (Hemiptera: Cicadellidae), known vectors of phytoplasmas pathogens, are linked to the transmission of more than 600 diseases affecting a thousand plant species worldwide. Despite this, the potential effects of climate change on leafhopper vectors of phytoplasmas remain a critical knowledge gap. To address this gap, our study investigated the potential impact of climate change on 14 species of Nearctic leafhoppers previously associated with phytoplasma-related diseases. Using the MaxEnt species distribution algorithm and other ecological niche modeling techniques, we assessed (i) the expected species richness under current climate conditions and four future scenarios and (ii) the environmental niche similarity among these species across these scenarios. Our projections suggest that the eastern region of North America holds the potential for the highest species richness, a trend expected to persist across all future scenarios, gradually expanding eastward. Notably, our findings indicate the increasing suitability of northern Canada for more species. Network analysis further revealed a remarkable similarity in environmental niches among most leafhopper species. Moreover, across the four future scenarios, there is a tendency for an increase in this similarity. Altogether, our study underscores the potential persistent presence of Nearctic leafhoppers in their current habitats while pointing to a shift toward northern North America in future scenarios. These findings have significant implications for sustainable pest management practices, prompting a necessary discussion on strategies to mitigate climate change and pest migration’s impact on agricultural systems.
Closed‐loop stability analysis of deep reinforcement learning controlled systems with experimental validation
Authors: Mohiuddin Mohammed Basheer , Boiko Igor , Azzam Rana , Zweiri Yahya 
Published: June 2024

AbstractTrained deep reinforcement learning (DRL) based controllers can effectively control dynamic systems where classical controllers can be ineffective and difficult to tune. However, the lack of closed‐loop stability guarantees of systems controlled by trained DRL agents hinders their adoption in practical applications. This research study investigates the closed‐loop stability of dynamic systems controlled by trained DRL agents using Lyapunov analysis based on a linear‐quadratic polynomial approximation of the trained agent. In addition, this work develops an understanding of the system's stability margin to determine operational boundaries and critical thresholds of the system's physical parameters for effective operation. The proposed analysis is verified on a DRL‐controlled system for several simulated and experimental scenarios. The DRL agent is trained using a detailed dynamic model of a non‐linear system and then tested on the corresponding real‐world hardware platform without any fine‐tuning. Experiments are conducted on a wide range of system states and physical parameters and the results have confirmed the validity of the proposed stability analysis (https://youtu.be/QlpeD5sTlPU).
The fate of the interstellar medium in early-type galaxies
Authors: Nadolny Jakub , Michałowski Michał J. , Parente Massimiliano , Hjorth Jens , Gall Christa , Leśniewska Aleksandra , Solar Martín , Nowaczyk Przemysław , Ryzhov Oleh 
Published: June 2024

Context. Removing the cold interstellar medium (ISM) from a galaxy is essential to quenching star formation, however, the exact mechanism behind this process remains unclear.
Aims. The objective of this work is to find the mechanism responsible for dust and gas removal in simulated early-type galaxies.
Methods. We studied a statistically significant sample of massive (M* > 1010 M⊙), simulated early-type galaxies in a redshift range of 0.02−0.32 in the context of its ISM properties. In particular, we investigated the cold dust and gas removal timescales, the cold gas inflows, and their relation with black hole mass. We also investigated the evolution of galaxies in the dust mass and star formation rate (SFR) plane and the influence of merger events. Finally, we broke down the dust destruction mechanisms to find which (if any) of the implemented processes dominate as a function of a galaxy’s stellar age.
Results. We find a good agreement with previous observational works dealing with the timescales of dust and HI removal from early-type galaxies. When considering the dust-to-stellar-mass ratio as a function of time in simulations, we recovered a similar decline as in the observational sample as a function of stellar age, validating its use for timing the ISM decline. Moreover, we recovered the observed relation between dust mass and the SFR for actively star-forming galaxies, as well as that of passive early-type galaxies. We also show that starburst galaxies form their own sequence on the dust mass and SFR plot in the form of log(Mdust, SB) = 0.913 × log(SFR)+6.533, with a 2σ scatter of 0.32. Finally, we find that type II supernova reverse shocks dominate the dust destruction at the early stages of early-type galaxy evolution; however, we also see that at later times, stellar feedback becomes more important. We show that merger events lead to morphological transformations by increasing the bulge-to-total stellar mass ratio, followed by an increase in black hole masses. The black hole feedback resulting from radio mode accretion prevents the hot halo gas from cooling, indirectly leading to a decrease in the SFR.
Exploring the stellar rotation of early-type stars in the LAMOST medium-resolution survey
Authors: Sun Weijia , Chiappini Cristina 
Published: June 2024

Context. Stellar rotation significantly shapes the evolution of massive stars, yet the interplay of mass and metallicity remains elusive, limiting our capacity to construct accurate stellar evolution models and to better estimate the impact of rotation on the chemical evolution of galaxies.
Aims. Our goal is to investigate how mass and metallicity influence the rotational evolution of A-type stars on the main sequence (MS). We seek to identify deviations in rotational behaviors that could serve as new constraints for existing stellar models.
Methods. Using the LAMOST Median-Resolution Survey Data Release 9, we derived stellar parameters for a population of 104 752 A-type stars. Our study focused on the evolution of surface rotational velocities and their dependence on mass and metallicity in 84 683 “normal” stars.
Results. Normalizing surface rotational velocities to zero age main sequence (ZAMS) values revealed a prevailing evolutionary profile from 1.7 to 4.0 M⊙. This profile features an initial rapid acceleration until t/tMS = 0.25 ± 0.1 and potentially a second acceleration peak near t/tMS = 0.55 ± 0.1 for stars heavier than 2.5 M⊙, followed by a steady decline and a “hook” feature at the end. Surpassing theoretical expectations, the initial acceleration likely stems from a concentrated distribution of angular momentum at the ZAMS, resulting in a prolonged increase in speed. A transition phase for stars with 2.0 < M/M⊙ < 2.3 emerged, a region where evolutionary tracks remain uncertain. Stellar expansion primarily drives the spin down in the latter half of the MS, accompanied by significant influence from inverse meridional circulation. The inverse circulation becomes more efficient at lower metallicities, explaining the correlation of the slope of this deceleration phase with metallicity from –0.3 dex up to 0.1 dex. The metal-poor subsample (−0.3 dex < [M/H]<  − 0.1 dex) starts with lower velocities at the ZAMS, suggesting that there is a metallicity-dependent mechanism that removes angular momentum during star formation. The proportion of fast rotators decreases with an increase in metallicity, up to log(Z/Z⊙)∼ − 0.2, a trend consistent with observations of OB-type stars found in the Small and Large Magellanic Clouds.
Endoscopic submucosal dissection and endoscopic mucosal resection for Barrett’s-associated neoplasia: a systematic review and meta-analysis of the published literature
Authors: Radadiya Dhruvil , Desai Madhav , Patel Harsh , Velji-Ibrahim Jena , Spadaccini Marco , Srinivasan Sachin , Khurana Shruti , Thoguluva Chandrasekar Viveksandeep , Perisetti Abhilash , Repici Alessandro , Hassan Cesare , Sharma Prateek 
Published: June 2024

Abstract
Background The role of endoscopic submucosal dissection (ESD) in the treatment of Barrett esophagus-associated neoplasia (BEN) has been evolving. We examined the efficacy and safety of ESD and endoscopic mucosal resection (EMR) for BEN.
Methods A database search was performed for studies reporting efficacy and safety outcomes of ESD and EMR for BEN. Pooled proportional and comparative meta-analyses were performed.
Results 47 studies (23 ESD, 19 EMR, 5 comparative) were included. The mean lesion sizes for ESD and EMR were 22.5 mm and 15.8 mm, respectively; most lesions were Paris type IIa. For ESD, pooled analysis showed rates of en bloc, R0, and curative resection, and local recurrence of 98%, 78%, 65%, and 2%, respectively. Complete eradication of dysplasia and intestinal metaplasia were achieved in 94% and 59% of cases, respectively. Pooled rates of perforation, intraprocedural bleeding, delayed bleeding, and stricture were 1%, 1%, 2%, and 10%, respectively. For EMR, pooled analysis showed rates of en bloc, R0, and curative resection, and local recurrence of 37%, 67%, 62%, and 6%, respectively. Complete eradication of dysplasia and intestinal metaplasia were achieved in 94% and 75% of cases. Pooled rates of perforation, intraprocedural bleeding, delayed bleeding, and stricture were 0.1%, 1%, 0.4%, and 8%, respectively. The mean procedure times for ESD and EMR were 113 and 22 minutes, respectively. Comparative analysis showed higher en bloc and R0 resection rates with ESD compared with EMR, with comparable adverse events.
Conclusion ESD and EMR can both be employed to treat BEN depending on lesion type and size, and center expertise.
Simplifying Stem Cell Therapy for IRs: Exploring New Horizons in Interventional Radiology and Cell Therapy
Authors: Ghanaati Hossein , Rouzbahani Maedeh 
Published: July 2024

AbstractThe effective treatment of various diseases requires not only medications but also precise delivery methods to the body and specific organs. In this regard, radiology plays a crucial role, acting as the eyes of physicians. In contrast, interventional radiology serves as its hands, acting as one of the most effective drug delivery systems. Among interventional radiology disciplines, arterial drug delivery through arteries holds paramount importance as organs primarily receive nourishment directly from them. Furthermore, regenerative medicine is a burgeoning field dedicated to repairing diverse body tissues without relying on pharmaceutical drugs. Stem cells, inherent in various parts of our bodies, are vital for tissue regeneration and reconstruction. Depending on the treatment approach, stem cells can be sourced from the patient's body (autologous) or another individual (allogeneic). There exist various types of stem cells across species, with regenerative properties observed in animals and even plants. However, targeted cell therapy is preferred over systematic injections throughout the body for better efficacy. This article aims to familiarize interventionalists with stem cells and provide them with a clear and helpful explanation of their functions, mechanisms of action, different sources, and other relevant aspects. This will help them select the most appropriate cells for their therapeutic purposes. By comprehensively understanding the significance of stem cells in interventional radiology, we can implement optimal methodologies to address diverse medical conditions efficiently.
Knightian uncertain violence and the challenge of FDI-assisted development: policy recommendations where civilian lives are at risk
Authors: Thakur-Wernz Pooja , Barnard Helena , Matthee Marianne 
Published: June 2024

AbstractIn this interdisciplinary paper, reviewing scholarship on both politically motivated and social violence, we use the Knightian distinction between (measurable) risk and (unknowable) uncertainty to examine how international business is affected when violence is directed at civilians, civilians are killed, and violence levels are constantly changing. Using data on 48 African countries (1997–2021), we show the uncertainty of these actions deters inward foreign direct investment (IFDI). As a high-commitment mode of internationalization, IFDI involves deepening knowledge of and exposure to foreign locations. Because uncertainty challenges the feasibility of deepening knowledge and is so hard to mitigate, investors behave differently than under risky conditions—they avoid contexts with Knightian uncertain violence. Our post hoc analysis shows that as IFDI decreases, exporting by local firms increases, suggesting another way to remain globally economically connected. Although our work raises many questions that demand further research, we can already identify useful policy insights. When violence makes a context uncertain to the point of virtual unknowability, IFDI will only assist development if policymakers and MNEs alike work to reduce violence. Multi-sectoral partnerships, increasing educational opportunities, and especially good governance are critical to ensuring IFDI is not appropriated by perpetrators of violence, but instead serves development.
Solar-blind photonic integrated chips for real-time on-chip communication
Authors: He Rui , Song Yijian , Liu Naixin , Chen Renfeng , Wu Jin , Wang Yufeng , Hu Qiang , Chen Xiongbin , Wang Junxi , Li Jinmin , Wei Tongbo 
Published: July 2024

The monolithically integrated self-driven photoelectric detector (PD) with the light-emitting diode (LED) epitaxial structure completely relies on the built-in electric field in the multi-quantum wells region to separate the photogenerated carriers. Here, we propose a novel superlattices–electron barrier layer structure to expand the potential field region and enhance the detection capability of the integrated PD. The PD exhibits a record-breaking photo-to-dark current ratio of 5.14 × 107, responsivity of 110.3 A/W, and specific detectivity of 2.2 × 1013 Jones at 0 V bias, respectively. A clear open-eyed diagram of the monolithically integrated chip, including the PD, LED, and waveguide, is realized under a high-speed communication rate of 150 Mbps. The obtained transient response (rise/decay) time of 2.16/2.28 ns also illustrates the outstanding transient response capability of the integrated chip. The on-chip optical communication system is built to achieve the practical video signals transmission application, which is a formidable contender for the core module of future large-scale photonic integrated circuits.
Learning to interact from conversational narratives
Authors: André Virginie , Boulton Alex , Ciekanski Maud , Cousinard Clara 
Published: June 2024

Abstract
This article explores two under-researched types of corpora for use in data-driven learning (DDL): L2 corpora (i.e. in a second or foreign language) and multimodal corpora. It first outlines the development of FLEURON, a dedicated DDL platform designed to support interactional competence in French as a Foreign Language (FFL), based on multimodal corpora of both native and L2 speakers. It then presents an ecological study of how 19 international FFL learners interacted with the platform in a DDL approach at the University of Lorraine. The analysis highlights how L2 corpora in particular can help learners to improve their awareness of complex phenomena related to conversational narratives by engaging their meta-cognitive strategies during their time abroad. The study thus reveals the potential for integrating an L2 component among the range of resources available for teaching and learning spoken interaction.
Comparing theory-based models of grammatical complexity in student writing
Authors: Biber Douglas , Larsson Tove , Hancock Gregory R. , Reppen Randi , Staples Shelley , Gray Bethany 
Published: July 2024

Abstract
The present study tests the empirical adequacy of competing models of grammatical complexity in university student
writing, based on analysis of disciplinary texts from L1-English and L2-English students. The results show that grammatical
complexity in student writing must be treated as a multi-dimensional linguistic construct, distinguishing among both structural
types and syntactic functions. We compare the results here to previous research (Biber et al., 2024a, b), showing a similar patterning of complexity features in student writing and the broader domain of general
writing. Two of these groupings – dependent phrases functioning as noun modifiers, and finite dependent clauses functioning as
clause-level constituents – are especially interesting. These two groupings represent the strongest co-occurrence patterns in
general writing, but only the dependent clause grouping is represented in student writing. This discrepancy is interpreted
relative to the development of advanced proficiency in the use of complexity features by university students.
A new approach to combined proton-photon therapy for metastatic cancer patients
Authors: Torelli Nathan , Bicker Yves , Marc Louise , Fabiano Silvia , Unkelbach Jan 
Published: June 2024

Abstract

Objective. Proton therapy is a limited resource and is typically not available to metastatic cancer patients. Combined proton-photon therapy (CPPT), where most fractions are delivered with photons and only few with protons, represents an approach to distribute proton resources over a larger patient population. In this study, we consider stereotactic radiotherapy of multiple brain or liver metastases, and develop an approach to optimally take advantage of a single proton fraction by optimizing the proton and photon dose contributions to each individual metastasis. Approach. CPPT treatments must balance two competing goals: (1) deliver a larger dose in the proton fractions to reduce integral dose, and (2) fractionate the dose in the normal tissue between metastases, which requires using the photon fractions. Such CPPT treatments are generated by simultaneously optimizing intensity modulated proton therapy (IMPT) and intensity modulated radiotherapy (IMRT) plans based on their cumulative biologically effective dose (BED
α

/β
). The dose contributions of the proton and photon fractions to each individual metastasis are handled as additional optimization variables in the optimization problem. The method is demonstrated for two patients with 29 and 30 brain metastases, and two patients with 4 and 3 liver metastases. Main results. Optimized CPPT plans increase the proton dose contribution to most of the metastases, while using photons to fractionate the dose around metastases which are large or located close to critical structures. On average, the optimized CPPT plans reduce the mean brain BED2 by 29% and the mean liver BED4 by 42% compared to IMRT-only plans. Thereby, the CPPT plans approach the dosimetric quality of IMPT-only plans, for which the mean brain BED2 and mean liver BED4 are reduced by 28% and 58%, respectively, compared to IMRT-only plans. Significance. CPPT with optimized proton and photon dose contributions to individual metastases may benefit selected metastatic cancer patients without tying up major proton resources.