bluuebunny/crossref_metadata_2025_split huggingface dataset:
Climate change impacts on dengue transmission areas in Espírito Santo state, Brazil
Authors: Barcellos Madeira Rosa Yasmim , Tamanini Silva Moschen Henrique , Loss Ana Carolina , Cardoso da Silva Theresa Cristina , Brioschi dos Santos Ana Paula , Caetano Pimenta Bruna , Nunes Zordan Julia Sthefany , Cerutti Junior Crispim , Espinosa Barbosa Miranda Angelica , Drumond Louro Iuri , Dummer Meira Débora , Vicente Creuza Rachel 
Published: September 2024

Abstract
Espírito Santo state, in Brazil, is a dengue-endemic region predicted to suffer from an increase in temperature and drought due to climate change, which could affect the areas with active dengue virus transmission. The study objective was modeling climatic factors and climate change effects in zones suitable for dengue virus transmission in Espírito Santo state, Brazil. Data on dengue reports from 2022 were used to determine climatic variables related to spatial distribution. The climate change projections were generated for the 2030s, 2050s, 2070s, and 2090s for three distinct Shared Socioeconomic Pathways: SSP1-2.6, SSP2-4.5 and SSP5-8.5. A maximum entropy algorithm was used to construct the three models and projections, and the results were used to calculate the ensemble mean. Isothermality, the maximum temperature of the warmest month, precipitation of the wettest month, precipitation of the warmest quarter, and annual precipitation impacted the model. Projections indicated a change in areas suitable for dengue virus transmission, varying from −30.44% in the 2070s (SSP1-2.6) to +13.07% in the 2070s (SSP5-8.5) compared to 2022. The coastal regions were consistently suitable in all scenarios. Urbanized and highly populated areas were predicted to persist with active dengue transmission in Espírito Santo state, posing challenges for public health response.
Phosphorylation of auxin signaling repressor IAA8 by heat-responsive MPKs causes defective flower development
Authors: Kim Sun Ho , Hussain Shah , Pham Huyen Trang Thi , Kadam Ulhas Sopanrao , Bahk Sunghwa , Ramadany Zakiyah , Lee Jeongwoo , Song Young Hun , Lee Kyun Oh , Hong Jong Chan , Chung Woo Sik 
Published: September 2024

Abstract
Heat stress is a substantial and imminent threat to plant growth and development. Understanding its adverse effects on plant development at the molecular level is crucial for sustainable agriculture. However, the molecular mechanism underlying how heat stress causes developmental defects in flowers remains poorly understood. Here, we identified Indole-3-Acetic Acid 8 (IAA8), a repressor of auxin signaling, as a substrate of mitogen-activated protein kinases (MPKs) in Arabidopsis thaliana, and found that MPK-mediated phosphorylation of IAA8 inhibits flower development. MPKs phosphorylated three residues of IAA8: S74, T77, and S135. Interestingly, transgenic plants overexpressing a phospho-mimicking mutant of IAA8 (IAA8DDD OX) exhibited defective flower development due to high IAA8 levels. Furthermore, MPK-mediated phosphorylation inhibited IAA8 polyubiquitination, thereby significantly increasing its stability. Additionally, the expression of key transcription factors involved in flower development, such as bZIP and MYB genes, was significantly perturbed in the IAA8DDD OX plants. Collectively, our study demonstrates that heat stress inhibits flower development by perturbing the expression of flower development genes through the MPK-mediated phosphorylation of IAA8, suggesting that Aux/IAA phosphorylation enables plants to fine-tune their development in response to environmental stress.
Stealthy and hyperuniform isotropic photonic band gap structure in 3D
Authors: Siedentop Lukas , Lui Gianluc , Maret Georg , Chaikin Paul M , Steinhardt Paul J , Torquato Salvatore , Keim Peter , Florescu Marian 
Published: September 2024

Abstract
In photonic crystals, the propagation of light is governed by their photonic band structure, an ensemble of propagating states grouped into bands, separated by photonic band gaps. Due to discrete symmetries in spatially strictly periodic dielectric structures their photonic band structure is intrinsically anisotropic. However, for many applications, such as manufacturing artificial structural color materials or developing photonic computing devices, but also for the fundamental understanding of light-matter interactions, it is of major interest to seek materials with long range nonperiodic dielectric structures which allow the formation of isotropic photonic band gaps. Here, we report the first ever 3D isotropic photonic band gap for an optimized disordered stealthy hyperuniform structure for microwaves. The transmission spectra are directly compared to a diamond pattern and an amorphous structure with similar node density. The band structure is measured experimentally for all three microwave structures, manufactured by 3D laser printing for metamaterials with refractive index up to n=2.1. Results agree well with finite-difference-time-domain numerical investigations and a priori calculations of the band gap for the hyperuniform structure: the diamond structure shows gaps but being anisotropic as expected, the stealthy hyperuniform pattern shows an isotropic gap of very similar magnitude, while the amorphous structure does not show a gap at all. Since they are more easily manufactured, prototyping centimeter scaled microwave structures may help optimizing structures in the technologically very interesting region of infrared.
The unintended consequences of improving police recording of rape in England and Wales
Authors: Lovett Jo , Kelly Liz , Vera-Gray Fiona 
Published: September 2024

ABSTRACT
A strong focus in recent policy and media coverage has been the increase in reporting of rape coupled with an associated fall in the charge rate, often attributed to victim withdrawal. Drawing on an analysis of 741 police case files as part of Operation Soteria we question each of these positions. We argue that changes to the Home Office Counting Rules since 2014 have resulted in the recording of a significant proportion of cases which are not reports from victim-survivors and which they did not consent to. Closing such cases at outcomes which make victim-survivors responsible is both inaccurate and leads to misperceptions of where the problems lie in rape investigations.
High risk of misclassification of acute Parvovirus B19 infection into a systemic rheumatic disease
Authors: D’Onofrio Bernardo , Virelli Giulia , Pedrollo Elisa , Caprioli Marta , Riva Marta , Renna Daniela , Tonutti Antonio , Luciano Nicoletta , Ceribelli Angela , Gremese Elisa , De Santis Maria , Selmi Carlo 
Published: September 2024

Abstract

Objectives
Parvovirus B19 most frequently causes epidemics of erythema infectiosum in children but also affects adults often leading to rheumatologic manifestations. While the serum profile allows the diagnosis, manifestations may mimic autoimmune conditions. The aim was to evaluate the proportion of patients with acute Parvovirus B19 infection fulfilling classification criteria for rheumatic diseases (RA and SLE).

Methods
We evaluated the clinical and serological features of 54 patients diagnosed with acute Parvovirus B19 infection seeking rheumatological attention between March and June 2024.

Results
The majority of patients were females (78%), with a mean (s.d.) age of 45 (13) years and 54% could not recall any known exposure. Fifty-one/54 (94%) had arthralgia, 27 (50%) arthritis (oligoarthritis in 67% of them), 24 (44%) fever, 19 (35%) skin rash and 7 (13%) purpura. Symptoms resolution generally occurred within 6 weeks. Complement levels were low in 14/33 (42%) tested patients, while the presence of serum ANA, anti-dsDNA, anti-phospholipids and rheumatoid factor was detected in 21/38 (55%), 10/26 (38%), 6/12 (50%) and 5/37 (13%) patients, respectively. Classification criteria for SLE were fulfilled in 93% of ANA-positive patients and RA criteria in 38% of patients with arthritis.

Conclusions
Parvovirus B19 infection manifestations may vary and nearly all patients with positive serum ANA fulfil the classification criteria for SLE. The risk of misclassification in patients with viral infection should not be overlooked.
Engineered liver-derived decellularized extracellular matrix-based three-dimensional tumor constructs for enhanced drug screening efficiency
Authors: Luo Shengchang , Wang Qingqing , Li Miaoting , Xu Peiyao , Wang Yicheng , Wang Ying , Kankala Ranjith Kumar , Wang Shibin , Chen Aizheng 
Published: September 2024

Abstract
The decellularized extracellular matrix (dECM) has emerged as an effective medium for replicating the in vivo-like conditions of the tumor microenvironment (TME), thus enhancing the screening accuracy of chemotherapeutic agents. However, recent dECM-based tumor models have exhibited challenges such as uncontrollable morphology and diminished cell viability, hindering the precise evaluation of chemotherapeutic efficacy. Herein, we utilized a tailor-made microfluidic approach to encapsulate dECM from porcine liver in highly poly(lactic-co-glycolic acid) (PLGA) porous microspheres (dECM-PLGA PMs) to engineer a three-dimensional (3D) tumor model. These dECM-PLGA PMs-based microtumors exhibited significant promotion of hepatoma carcinoma cells (HepG2) proliferation compared to PLGA PMs alone, since the infusion of extracellular matrix (ECM) microfibers and biomolecular constituents within the PMs. Proteomic analysis of the dECM further revealed the potential effects of these bioactive fragments embedded in the PMs. Notably, dECM-PLGA PMs-based microtissues effectively replicated the drug resistance traits of tumors, showing pronounced disparities in half-maximal inhibitory concentration (IC50) values, which could correspond with certain aspects of the TME. Collectively, these dECM-PLGA PMs substantially surmounted the prevalent challenges of unregulated microstructure and suboptimal cell viability in conventional 3D tumor models. They also offer a sustainable and scalable platform for drug testing, holding promise for future pharmaceutical evaluations.
Optimal investment and equilibrium pricing under ambiguity
Authors: Anthropelos Michail , Schneider Paul 
Published: September 2024

Abstract
We study a model for portfolio selection under uncertainty along with market equilibria that are associated with the optimal positions. Allowing for both ambiguity-seeking and ambiguity-averse market participants, model-implied demand functions resemble observed bid–ask spreads, and are consistent with extant limited-participation results based on more specialized ambiguity settings. A Pareto-efficient second-best equilibrium arises from constraining the portfolio allocations of ambiguity seekers. It implies that heterogeneity in ambiguity preferences is sufficient for mutually beneficial transactions even among all else homogeneous traders. Our results reconcile many observed phenomena in liquid high-information financial markets, such as portfolio inertia and negative risk premia.
Securities financing and asset markets: new evidence
Authors: Breach Tomas , King Thomas B 
Published: September 2024

Abstract
Using survey data on secured funding arrangements provided by broker–dealers for their clients—a class of contracts that includes bilateral repo—we document that financing rates, collateral haircuts, lending maturities, and position limits move strongly together over time and across asset classes. Liquidity of the underlying securities, as opposed to their volatility or credit risk, is the main driver of this behavior, with dealer balance-sheet constraints also playing a role in the funding of less-liquid security types. A simple model of dealer–client interaction rationalizes these findings. Instrumenting with changes in market conventions, we find that funding conditions had little effect on cash securities markets between 2011 and 2019, but the tightening of terms during the market stress of early 2020 likely impaired liquidity and reduced asset returns to some degree.
Modeling Decision-Making in Schizophrenia: Associations Between Computationally Derived Risk Propensity and Self-Reported Risk Perception
Authors: Herms Emma N , Brown Joshua W , Wisner Krista M , Hetrick William P , Zald David H , Purcell John R 
Published: September 2024

Abstract

Background and Hypothesis
Schizophrenia is associated with a decreased pursuit of risky rewards during uncertain-risk decision-making. However, putative mechanisms subserving this disadvantageous risky reward pursuit, such as contributions of cognition and relevant traits, remain poorly understood.

Study Design
Participants (30 schizophrenia/schizoaffective disorder [SZ]; 30 comparison participants [CP]) completed the Balloon Analogue Risk Task (BART). Computational modeling captured subprocesses of uncertain-risk decision-making: Risk Propensity, Prior Belief of Success, Learning Rate, and Behavioral Consistency. IQ, self-reported risk-specific processes (ie, Perceived Risks and Expected Benefit of Risks), and non-risk-specific traits (ie, defeatist beliefs; hedonic tone) were examined for relationships with Risk Propensity to determine what contributed to differences in risky reward pursuit.

Study Results
On the BART, the SZ group exhibited lower Risk Propensity, higher Prior Beliefs of Success, and comparable Learning Rates. Furthermore, Risk Propensity was positively associated with IQ across groups. Linear models predicting Risk Propensity revealed 2 interactions: 1 between group and Perceived Risk, and 1 between IQ and Perceived Risk. Specifically, in both the SZ group and individuals with below median IQ, lower Perceived Risks was related to lower Risk Propensity. Thus, lower perception of financial risks was associated with a less advantageous pursuit of uncertain-risk rewards.

Conclusions
Findings suggest consistently decreased risk-taking on the BART in SZ may reflect risk imperception, the failure to accurately perceive and leverage relevant information to guide the advantageous pursuit of risky rewards. Additionally, our results highlight the importance of cognition in uncertain-risk decision-making.
The herbicide acetochlor causes lipid peroxidation by inhibition of glutathione peroxidase activity
Authors: Mesmar Fahmi , Muhsen Maram , Mirchandani Rachna , Tourigny Jason P , Tennessen Jason M , Bondesson Maria 
Published: September 2024

Abstract
Metabolic syndrome is increasing worldwide, particularly in rural communities, where residents have a higher risk of exposure to pesticides. We investigated whether six commonly used agricultural pesticides on corn and soy fields possess adipogenic and metabolic disruption activity. Exposure to two of these pesticides, the herbicides acetochlor and metolachlor, induced adipogenesis in vitro in mouse 3T3-L1 preadipocytes. The most potent compound, acetochlor, was selected for further studies in zebrafish. Acetochlor exposure induced morphological malformations and lethality in zebrafish larvae with an EC50 of 7.8 µM and LC50 of 12 µM. Acetochlor exposure at 10 nM resulted in lipid accumulation in zebrafish larvae when simultaneously fed a high-cholesterol diet. To decipher the molecular mechanisms behind acetochlor action, we performed transcriptomic and lipidomic analyses of exposed animals. The combined omics results suggested that acetochlor exposure increased Nrf2 activity in response to reactive oxygen species, as well as induced lipid peroxidation and ferroptosis. We further discovered that acetochlor structurally shares a chloroacetamide group with known inhibitors of glutathione peroxidase 4 (GPX4). Computational docking analysis suggested that acetochlor covalently binds to the active site of GPX4. Consistent with this prediction, Gpx activity was efficiently repressed by acetochlor in zebrafish, whereas lipid peroxidation was increased. We propose that acetochlor disrupts lipid homeostasis by inhibiting GPX activity, resulting in the accumulation of lipid peroxidation, 4-hydroxynonenal, and reactive oxygen species, which in turn activate Nrf2. Because metolachlor, among other acetanilide herbicides, also contains the chloroacetamide group, inhibition of GPX activity may represent a novel, common molecular initiating event of metabolic disruption.
In Silico Target Identification Reveals IL12B as a Candidate for Small Molecule Drug Development
Authors: Tanner Trevor J. 
Published: September 2024

AbstractDrug discovery’s rising costs and complexities require innovative strategies to identify viable therapeutic targets. We developed a computational pipeline to pinpoint protein targets lacking known small molecule probes, focusing on sites traditionally considered challenging for small molecule intervention but validated by FDA-approved biologics. Our approach, which integrates machine learning, public databases, and structural analysis, targeted autoimmune diseases. This method identified IL12B as a promising candidate, uncovering a potential small molecule binding site involved in dimer formation. Inhibitors targeting this site could offer benefits such as shorter half-lives and more precise tissue distribution compared to existing biologics. These findings present a new opportunity to develop small molecule therapeutics for IL12B, potentially improving the safety and efficacy of treatments for conditions like inflammatory bowel disease (IBD).
Reversible Downregulation of HLA Class I in Adenoid Cystic Carcinoma
Authors: Li Annie , Gonda Bianca L , Paternos Adam von , Codd Elizabeth M , Mitchell Dawn R , Herrmann Markus D , Dzu Thuc Q , Kalyan Prinjali , Gao Chengzhuo , Zhang Edwin , Mendel Julia J , Thierauf Julia C , Sadow Peter M , Denize Thomas , Yang Diane , Park Jong C , Fintelmann Florian J , Gao Xin , Merkin Ross D , Bhan Atul K , Faquin William C , Wirth Lori J , Faden Daniel L , Kaluziak Stefan T , Iafrate A John 
Published: September 2024

AbstractPurposeAdenoid cystic carcinoma (ACC), a rare and lethal cancer, has shown low response rates to systemic therapies, such as cytotoxic chemotherapy and immune-checkpoint inhibitors (ICIs). Despite numerous clinical trials, some employing aggressive ICI combinations, no effective treatments for patients with recurrent or metastatic adenoid cystic carcinoma have emerged, and ACC mortality rates remain stagnant. Therefore, we aimed to characterize the ACC immune landscape to understand the poor response rates to ICIs.Experimental DesignWe leveraged automated multiplex immunofluorescence (mIF), RNA in-situ hybridization, and scRNAseq Gene Expression analysis to identify pathways supporting the cold ACC immune environment and molecularly characterize ACC tumors, adjacent normal tissues, and normal tissues from regions where ACCs arise. In vitro, we treated freshly resected ACCs with interferon-ψ or a STING agonist.ResultsmIF demonstrated that ACC tumors are immunologically ‘cold’, with few tumor- infiltrating T-lymphocytes (TILs) and low PD-L1 expression. The most striking finding, however, was a very low HLA/B2M class I expression in almost all ACCs, which was reversible through treatment with interferon-ψ or a STING agonist. mIF and RNAseq analyses of normal tissues revealed a p63+, NFIB+, basal duct cell population with similarly low HLA/B2M class I expression.ConclusionsLow/absent HLA/B2M expression may explain ACC tumors’ immunologically cold status and lack of response to ICIs. Our findings suggest that the normal cell of ACC origin exists in an HLA-low state, and that pharmacologic manipulation with immune activators, such as STING agonists, can restore HLA/B2M in ACCs, creating a path to urgently needed, effective immunotherapies.
Dendritic cell effector mechanisms and tumor immune microenvironment infiltration define TLR8 modulation and PD-1 blockade
Authors: Ruiz-Torres Daniel A. , Wise Jillian , Zhao Brian Yinge , Oliveira-Costa Joao Paulo , Cavallaro Sara , Sadow Peter , Fang Jacy , Yilmaz Osman , Patel Amar , Loosbroock Christopher , Sade-Feldman Moshe , Faden Daniel L. , Stott Shannon L. 
Published: September 2024

AbstractThe potent immunostimulatory effects of toll-like receptor 8 (TLR8) agonism in combination with PD-1 blockade have resulted in various preclinical investigations, yet the mechanism of action in humans remains unknown. To decipher the combinatory mode of action of TLR8 agonism and PD-1 blockade, we employed a unique, open-label, phase 1b pre-operative window of opportunity clinical trial (NCT03906526) in head and neck squamous cell carcinoma (HNSCC) patients. Matched pre- and post-treatment tumor biopsies from the same lesion were obtained. We used single-cell RNA sequencing and custom multiplex staining to leverage the unique advantage of same-lesion longitudinal sampling. Patients receiving dual TLR8 agonism and anti-PD-1 blockade exhibited marked upregulation of innate immune effector genes and cytokines, highlighted by increasedCLEC9A+dendritic cell andCLEC7A/SYKexpression. This was revealed via comparison with a previous cohort from an anti-PD-1 blockade monotherapy single-cell RNA sequencing study.Furthermore, in dual therapy patients, post-treatment mature dendritic cells increased in adjacency to CD8+T-cells. Increased tumoral cytotoxic T-lymphocyte densities and expanded CXCL13+CD8+T- cell populations were observed in responders, with increased tertiary lymphoid structures (TLSs) across all three patients. This study provides key insights into the mode of action of TLR8 agonism and anti-PD-1 blockade immune targeting in HNSCC patients.
Generating virtual patient data for in silico clinical trials of medical devices during extracorporeal membrane oxygenation treatment
Authors: Landoll Micha , Huang Yifei , Follegot Filippo , Strassmann Stephan , Steinseifer Ulrich , Karagiannidis Christian , Neidlin Michael 
Published: September 2024

AbstractThis study introduces a virtual patient generation model as online tool through the generation of high-quality synthetic data, addressing challenges like privacy cocerns and limited dataset sizes. Using a Conditional Tabular Generative Adversarial Network (CTGAN), we generated synthetic data from the Electronic Health Records (EHR) of 767 veno-venous extracorporeal membrane oxygenation (ECMO) patients, focusing on 55 critical therapy parameters. Rigorous preprocessing, imputation, and model tuning ensured that the synthetic data closely mirrored real patient records, achieving a 86.6% coverage score and minimal deviations in data correlations. The tool is integrated into a web platform -https://cve-sim.de/ecmo-vpg, allowing researchers to generate and visualize virtual patient cohorts, potentially enhancing ECMO research and reducing the need for extensive clinical trials.