bluuebunny/crossref_metadata_2025_split huggingface dataset:
Counterfactual restrictions and Bell’s theorem
Authors: Hance Jonte R 
Published: December 2024

Abstract
We show that the ability to consider counterfactual situations is a necessary assumption of Bell’s theorem, and that, to allow Bell inequality violations while maintaining all other assumptions, we just require certain measurement choices be counterfactually restricted, rather than the full removal of counterfactual definiteness. We illustrate how the counterfactual definiteness assumption formally arises from the statistical independence assumption. Counterfactual restriction therefore provides a way to interpret statistical independence violation different to what is typically assumed (i.e. that statistical independence violation means either retrocausality or superdeterminism). We tie counterfactual restriction to contextuality, and show the similarities to that approach.
Cost-effective control of air pollution in South Asia: modeling and policy applications
Authors: Purohit Pallav , Kiesewetter Gregor , Schöpp Wolfgang , Wagner Fabian , Klimont Zbigniew , Heyes Chris , Gómez-Sanabria Adriana , Srivastava Parul , Borken-Kleefeld Jens , Amann Markus 
Published: December 2024

Abstract
Air pollution poses a critical environmental challenge to sustainability, environmental health and public well-being in the South Asia Region (SAR). This study identifies hotspots of fine particulate matter (PM2.5) across SAR, analyzing both concentration levels and exposure. Moreover, it aims at a comprehensive understanding of the various sources of air pollution in these critical areas and a systematic evaluation of the costs and benefits of relevant policy actions, utilizing the GAINS modeling framework. A wide variety of sources contribute to PM2.5 levels in ambient air, and effective air quality management requires a balance of measures across these sources. Current environmental policies, while effective in decoupling emissions from economic growth in SAR, are insufficient to achieve significant reductions in ambient PM2.5 concentrations. However, considerable scope exists for further measures beyond current policies that could help to bring the WHO Interim Targets (IT-1) for PM2.5 closer. Finally, it is shown that cost-optimal strategies for air quality management can achieve significant cost savings compared to conventional approaches; however, they require collaboration between states, regions and countries in South Asia.
Maize yields could benefit from increased vapor pressure deficit in hot managed environments
Authors: Galić Vlatko , Salaić Miroslav , Zdunić Zvonimir , Šimić Domagoj , Brkić Andrija , Ledenčan Tatjana , Brkić Josip , Atakul Ersan , Er Ülkü , Guberac Vlado , Jambrović Antun 
Published: December 2024

Abstract
Recent studies highlight the adverse effects of increasing vapor pressure deficit (VPD) due to climate change on maize yields. Maize breeders are utilizing available genetic diversity to address these challenges. However, contrasting ecophysiological properties and genotype by environment interactions (GEI) often hinder these efforts. This study by the Agricultural Institute Osijek, in collaboration with Turkish company Tarım Kredi Tohumculuk, explores the adaptation of maize germplasm to hot, managed environments in Türkiye, originally bred for Southeast and Central European rainfed conditions. Over an 11-year period (2009–2019), multi-environment trials (MET) were conducted in two stages. In cycle 0 (C0), 22 hybrids were evaluated across 17 environments in Croatia and Türkiye. In cycle 1 (C1), MET was conducted in 18 Turkish environments. Complete linkage hierarchical clustering based on hybrid performance and climatic variables revealed two distinct clusters with positive or negative responses to increasing VPD in C0. In C1, genetic variances increased with rising VPD, maintaining distinct responses. Our findings align with reports on the limited transpiration trait in maize and sorghum, suggesting that while such traits can reduce water loss, they may also limit yield potential in high-VPD environments.
Optimizing composting process through mixture design for a sustainable valorization of residual biomass from medicinal and aromatic plants
Authors: Mehdaoui Imane , Majbar Zineb , Saoudi Hassani El Mokhtar , Mahmoud Rachid , Ben Abbou Mohamed , Bougarne Loubna , Sakar El Hassan , Taleb Mustapha , Rais Zakia , Khoshnaw Fuad 
Published: December 2024

Abstract
Recently, medicinal and aromatic plants (MAP) gained a particular interest for their application in various fields such as food science, pharmacy, etc). MAP processing results in huge amounts of residual biomasses (RB). Such RB are valuable as they contain nutrients that can be recycled into high-value products rather than being considered waste. Composting emerges as a promising solution, effectively converting this biomass into a nutrient-rich product essential for plant growth. This research aimed to valorize RB from MAP through co-composting with green waste (GW) and poultry manure (PM) by optimising the initial mixture composition and evaluating the compost’s quality. A statistical mixture design approach was utilized to optimize the initial mixture composition. Sixteen of experiments were performed, focusing on pH and C/N ratio as response parameters. After monitoring the composting process, physicochemical parameters and the quality of the compost produced were evaluated. The results led to the successful development and validation of two response models using analysis of variance. The ideal mixture composition was found to be 45% RB-MAP, 25%PM, and 30% GW. The final compost exhibited a low C/N ratio, was rich in fertilizing and nutritive elements, and importantly, showed no phytotoxic effects. This research underscores the potential of composting as a sustainable method to convert RB into valuable agricultural resources.
Factors driving drinking water preferences among atlanta-area pediatric patients
Authors: Milani Alex , Livingston-Burns Belise , Philipsborn Rebecca 
Published: December 2024

Abstract

Background. Global environmental pressures threaten water safety and security. Climate-driven extreme weather stresses water infrastructure and supply, including in US cities. Even when water sources are classified as safe, individuals, including those from historically marginalized communities, may distrust their in-home tap water. Consumption of bottled water further contributes to plastic waste and environmental harm. This pilot study aims to understand the drinking water preferences of patients at a safety net pediatric clinic in Atlanta, Georgia towards informing individual and systems-level water-related climate and health adaptation measures. Methods. Guardians of patients >28 days to <12 years were invited to participate during their child’s well visit. Participants were administered a survey on their family’s drinking water consumption preferences, the reasoning behind these choices, and their access to information on water safety. Descriptive statistics were used to analyze the results. Findings. Of 201 participants, 77% (155) drank only bottled water, 21% (42) drank tap and bottled water, and only 2% (4) drank exclusively tap water. The most selected reasons for exclusive bottled water consumption were: concern that tap is not clean or safe (74%, 114), taste (56%, 86), convenience (26%, 40), and water clarity (13%, 20). Sixty-seven percent of participants did not know how to access emergency alerts like boil water advisories. Conclusion. The overwhelming majority of families who obtain their healthcare at our clinic choose bottled water over tap water, and water safety concerns are the key factor driving this decision. Most patients lack access to real-time basic public health messaging on water advisories. These findings suggest an opportunity for clinicians to provide guidance on drinking-water in clinical encounters and for interdisciplinary partnerships to support clinicians in this climate adaptation measure.
Swarming network inference with importance clustering of relative interactions
Authors: Hindes Jason , Daley Kevin , Stantchev George , Schwartz Ira B 
Published: December 2024

Abstract
Swarming is central to many problems in physics, biology, and engineering where collective motion and cooperation emerge through interactions of many agents. As a result, inferring network connections underlying swarms from time series data is an important problem with broad application. In this work, we propose a method based on phase-space regression of the observed dynamics with random forest models, from which relative interactions are clustered according to their Gini importance with respect to a given agent. Network connections are inferred by comparing how the statistics of the strongly and weakly important clusters overlap. Because the method entails fitting the dynamics and finding the most important interactions for each agent individually with general swarming assumptions, high accuracy can be maintained with relatively modest amounts of observation data and utilizing only a small number of generalizable hyperparameters across a variety of behavioral patterns, diverse physical ingredients, and heterogeneous network topologies.
Historical perspective and opportunity for computing in memory using floating-gate and resistive non-volatile computing including neuromorphic computing
Authors: Hasler Jennifer , Basu Arindam 
Published: December 2024

Abstract
The effort addresses the research activity around the usage of non-volatile memories (NVM) for storage of ‘weights’ in neural networks and the resulting computation through these memory crossbars. In particular, we focus on the CMOS implementations of, and comparisons between, memristor/resistive random access memory (RRAM) devices, and floating-gate (FG) devices. A historical perspective for illustrating FG and memristor/RRAM devices enables comparison of nonvolatile storage (addressing issues related to resolution, lifetime, endurance etc), feedforward computation (different variants of vector matrix multiplication, tradeoffs between power dissipation and signal to noise ratio etc), programming (addressing issues of selectivity, peripheral circuits, charge trapping etc), and learning algorithms (continuous time LMS or batch update), in these systems. We believe this historical perspective is necessary and timely given the increasing interest in using computation in memory with NVM for a wide variety of memory bound applications.
Future seasonal surface temperature predictability with and without ARISE-stratospheric aerosol injection-1.5
Authors: Mayer Kirsten J , Barnes Elizabeth A , Hurrell James W 
Published: December 2024

Abstract
To help reduce anthropogenic climate change impacts, various forms of solar radiation modification have been proposed to reduce the rate of warming. One method to intentionally reflect sunlight into space is through the introduction of reflective particles into the stratosphere, known as stratospheric aerosol injection (SAI). Previous research has shown that SAI implementation could lead to future climate impacts beyond surface temperature, including changes in El Niño Southern Oscillation (ENSO) variability. This response has the potential to modulate midlatitude variability and predictability through atmospheric teleconnections. Here, we explore possible differences in seasonal surface temperature predictability under a future with and without SAI implementation, using neural networks and the ARISE-SAI-1.5 simulations. We find significant future predictability changes in both boreal summer and winter under SSP2-4.5 with and without SAI. However, during boreal winter when SAI is implemented, seasonal predictability is more similar to the base climate than when SAI is not implemented, particularly in regions impacted by ENSO teleconnections.
Hydrogel-based therapies for diabetic foot ulcers: recent developments and clinical implications
Authors: Zhao Shuao , Hu Xinyu , Zhao Yiwen , Zhang Yige , Jin Yesheng , Hua Fei , Xu Yong , Ding Wenge 
Published: December 2024

Abstract
The diabetic foot ulcer is among the most serious diabetes-associated complications, with a long disease course considerably increasing the pain and economic burden of patients, leading to amputation and even death. High blood sugar is characteristic of diabetic foot ulcers, with insufficient blood supply, oxidative stress disorder, and high-risk bacterial infection posing great challenges for disease treatment. Advances in hydrogel dressings have shown potential for the management of diabetic foot ulcers involving multisystem lesions. This study comprehensively reviews the pathogenesis of diabetic foot ulcers and advances in hydrogel dressings in treating diabetic foot ulcers, providing innovative perspectives for assessing the nursing care requirements and associated clinical applications.
Cardiovascular safety of assisted reproductive technology: a meta-analysis
Authors: Pivato Carlo Andrea , Inversetti Annalisa , Condorelli Gianluigi , Chieffo Alaide , Levi-Setti Paolo Emanuele , Latini Alessia Chiara , Busnelli Andrea , Messa Martina , Cristodoro Martina , Bragato Renato Maria , Francone Marco , Zuccolo Luisa , Ieva Francesca , Di Angelantonio Emanuele , Stefanini Giulio , Di Simone Nicoletta 
Published: December 2024

Abstract

Background and Aims
The increasing use of assisted reproductive technology (ART) has raised concerns regarding its long-term cardiovascular safety due to potential hormonal imbalances and pro-thrombotic states. This study aimed to assess the long-term cardiovascular risk associated with fertility treatments in women.

Methods
Following PRISMA guidelines, a systematic review and meta-analysis was conducted in MEDLINE (via PubMed) from inception to January 2024. Randomized, cohort, or case-control studies were included if fulfilling the following criteria: the association between ART and the subsequent cardiovascular outcome was reported and adjusted for confounding factors (at least age); the presence of a control group; and minimum 1-year follow-up. Effect size (ES) estimates of the association between fertility therapy and subsequent cardiovascular disease were pooled using the DerSimonian and Laird random-effects model. Heterogeneity was assessed with the I2 index. This study is registered on PROSPERO (CRD42024505605).

Results
Of the 7298 articles screened, 10 studies were included, encompassing 500 664 women undergoing ART and 36 395 240 controls. The analysis found no significant increase in the long-term risk of major adverse cardiovascular events [ES 1.04, 95% confidence interval (CI) 0.88–1.23, I2 87.61%, P = .63], coronary heart disease (ES 0.88, 95% CI 0.71–1.10, I2 24.36%, P = .26), stroke (ES 1.21, 95% CI 0.92–1.59, I2 70.40%, P = .17), venous thromboembolism (ES 0.95, 95% CI 0.70–1.28, I2 49.13%, P = .73), hypertension (ES 1.08, 95% CI 0.88–1.32, I2 94.63%, P = .46), or diabetes (ES 1.03, 95% CI 0.86–1.22, I2 78.44%, P = .77). Assisted reproductive technology was associated with a lower risk of heart failure (ES 0.75, 95% CI 0.60–0.94, I2 0.00%, P = .01).

Conclusions
Assisted reproductive technology use does not appear to be significantly associated with an increased long-term risk of cardiovascular diseases in women. While these findings suggest the cardiovascular safety of fertility treatments, further research is warranted.
Reckoning with Reconciliation: Art and Artists in Bosnia and Herzegovina
Authors: Redwood Henry , Fairey Tiffany , Kerr Rachel 
Published: December 2024

ABSTRACT∞
Reconciliation is often invoked as a primary goal of transitional justice and peacebuilding but it is a term that both resists easy definition and is hotly contested. Art, meanwhile, is posited as an alternative means of promoting reconciliation, but measuring its effectiveness is fraught with difficulty. This article takes a novel approach to answer the question of what art and artists can contribute to postconflict reconciliation by analysing two artworks commissioned to respond to the exhibition and collections of the History Museum of Bosnia and Herzegovina relating to the 1992–1995 Siege of Sarajevo: Memoria Bosniaca, by Vladimir Miladinović and Multiple Water Rocket Launcher 100 mm, by Mladen Miljanović. Based on our analysis of these two artworks, we propose a novel framing of ‘aesthetic reconciliation’ which embraces paradox and complexity, and is both personal and politically situated, critical and interpretive and fixed but open to contestation.
Diagnostic value of TAP, PIVKA-II, and AFP in hepatocellular carcinoma and their prognostic value for patients treated with transarterial chemoembolization
Authors: Gan Delu , Wang Yali , Yang Xin , Huang Juan , Zhang Lijun , Guo Bianqin , Li Pu , Gou Dan 
Published: December 2024

Abstract

Objective
The diagnosis and prognosis of hepatocellular carcinoma (HCC) present significant challenges in clinical practice. This study aimed to evaluate the clinical utility of tumor abnormal protein (TAP), Prothrombin induced by vitamin K absence-II (PIVKA-II), and alpha-fetoprotein (AFP) in diagnosing HCC as well as to investigate their prognostic significance in patients with HCC undergoing transarterial chemoembolization.

Methods
A total of 93 HCC patients were enrolled and 101 healthy individuals served as controls. Fresh venous blood samples were collected, and TAP, PIVKA-II, and AFP levels were measured by chemiluminescence immunoassay.

Results
Significant differences in TAP, PIVKA-II, and AFP levels were found between HCC patients and healthy individuals. The combined assay of TAP, AFP, and PIVKA-II showed better diagnostic performance for HCC. Patients who underwent transarterial chemoembolization and achieved complete response (CR) had lower levels of prechemotherapy serum TAP, AFP, and PIVKA-II. There are significant differences in levels of TAP, AFP, and PIVKA-II between CR and partial response (PR), CR and stable disease (SD), and CR and progressive disease (PD).

Conclusion
Combined detection of TAP, PIVKA-II, and AFP has better diagnostic performance for HCC. Higher levels of prechemotherapy serum TAP, AFP, and PIVKA-II are significantly associated with poor clinical chemoresponse.
Inhibition of discoidin domain receptor 1 as a new therapeutic strategy for osteosarcoma
Authors: Wang Jinglu , Walker Robert L. , Hornicek Francis J. , Shi Huirong , Duan Zhenfeng 
Published: December 2024

AbstractOsteosarcoma is the most common type of bone cancer. Some patients eventually develop recurrent or metastatic diseases and treatment options are extremely limited. Discoidin domain receptor 1 (DDR1) is a unique collagen‐activated tyrosine kinase that participates in various human diseases, including cancer. DDR1 promotes adhesion, proliferation, differentiation, migration, and metastasis of cancer cells. The purpose of this study is to assess the expression, clinical prognostic relationship and functional roles of DDR1 in osteosarcoma. The correlation between DDR1 expression in tumor tissues and clinicopathological features, and prognosis was assessed via immunohistochemical staining of a unique tissue microarray (TMA) constructed from osteosarcoma specimens. DDR1‐specific siRNA and a highly selective DDR1 inhibitor, 7rh, were applied to determine the impact of DDR1 expression on osteosarcoma cell growth and proliferation. Furthermore, the effect of DDR1 inhibition on clonogenicity was evaluated using a clonogenic assay, and a 3D cell culture model was used to mimic DDR1 effects in an in vivo environment. The results demonstrate that higher DDR1 expression significantly correlates with recurrence, metastasis, and shorter overall survival in osteosarcoma patients. The expression of DDR1 is also inversely correlated to the response to neoadjuvant chemotherapy. Therapeutically, DDR1 knockdown with siRNA or selective inhibition with 7rh decreases the proliferation and growth of osteosarcoma cells. In conclusion, our study supports DDR1 expression as an independent predictor of poor prognosis and a promising therapeutic target for osteosarcoma.
Advances in asthma and allergic disease genetics
Authors: Schoettler Nathan 
Published: December 2024

Purpose of review
Asthma and allergic disease are common chronic conditions affecting individuals of all ages. The contribution of genetics to the risk of asthma and allergic diseases is well established, yet the mechanisms through which genetic variation contribute to risk continues to be investigated. This review focuses on recent advances made in genetic studies of asthma and allergic disease phenotypes.

Recent findings
Progress has been made at expanding genetic studies of asthma and allergic diseases in more diverse and non-European populations, and genetic associations have been made with loci and more refined phenotypes associated with these conditions. Among the 11 large genome-wide association studies or admixture mapping studies published recently, 52 novel associations were identified for asthma and allergic disease phenotypes. As in previous studies, variant- and genome-based heritability remains relatively low. The use of polygenic risk scores in asthma and allergic diseases has increased and reinforces the remarkable overlap of the genetic risk of these conditions. Whole genome and exome sequencing has led to associations of specific genes with these conditions, including rare STAT6 gain-of-function mutations that were identified in individuals with multiple, severe and early life allergic diseases and asthma.

Summary
Overall, we have learned that asthma and allergic diseases phenotypes are highly polygenic and have considerable overlap in their genetic landscapes.