bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consistently inconsistent: The false promise of ‘sustainable’ plastics
Authors: Ammendolia Justine , Walker Tony R. 
Published: April 2024

Abstract
This perspective explains why the lack of regulation around bioplastics remains a hurdle for the successful development and implementation of a legally binding agreement (the Global Plastics Treaty) by the United Nations Environment Assembly to curb plastic pollution by 2024. For example, bioplastics have been marketed to consumers as the panacea solution to our plastic waste crisis. Of the >400 million tonnes of plastics produced each year, <1% are bioplastics, but the market value of bioplastics is expected to grow. The rapid growth of the environmentally ‘sustainable’ plastic market has resulted in an overwhelming variety of products with different properties and labels, which has led to widespread public confusion, particularly about disposal guidelines. The umbrella term of ‘bioplastics’ describes plastics that can be fully or partially sourced from biological matter, unlike conventional petroleum-based plastics. Within this family of plastics, products can be ‘biodegradable’, ‘oxo-biodegradable’ and ‘compostable’ depending on their chemical composition and the external conditions required at disposal (end-of-life). However, cases of petroleum-based biodegradable plastics have been referred to as bioplastics, which is inaccurate. Overall, this lack of regulation remains a hurdle for the successful development and implementation of the Global Plastics Treaty.
A longitudinal network analysis of suicide risk factors among service members and veterans sampled for suicidal ideation or attempt
Authors: Smith April R. , Forrest Lauren N. , Kinkel-Ram Shruti S. , Grunewald William , Tubman S. David , Esche Aaron , Levinson Cheri 
Published: April 2024

AbstractBackgroundSuicidal thoughts and behaviors are elevated among active-duty service members (ADSM) and veterans compared to the general population. Hence, it is a priority to examine maintenance factors underlying suicidal ideation among ADSM and veterans to develop effective, targeted interventions. In particular, interpersonal risk factors, hopelessness, and overarousal have been robustly connected to suicidal ideation and intent.MethodsTo identify the suicidal ideation risk factors that are most relevant, we employed network analysis to examine between-subjects (cross-sectional), contemporaneous (within seconds), and temporal (across four hours) group-level networks of suicidal ideation and related risk factors in a sample of ADSM and veterans (participant n = 92, observations n = 10 650). Participants completed ecological momentary assessment (EMA) surveys four times a day for 30 days, where they answered questions related to suicidal ideation, interpersonal risk factors, hopelessness, and overarousal.ResultsThe between-subjects and contemporaneous networks identified agitation, not feeling close to others, and ineffectiveness as the most central symptoms. The temporal network revealed that feeling ineffective was most likely to influence other symptoms in the network over time.ConclusionOur findings suggest that ineffectiveness, low belongingness, and agitation are important drivers of moment-to-moment and longitudinal relations between risk factors for suicidal ideation in ADSM and veterans. Targeting these symptoms may disrupt suicidal ideation.
From Didactics to Disasters: Unveiling CBRNe and Counter-Terrorism Medicine Training in US Medical Schools
Authors: Lane Joshua E. , Tin Derrick , Ali Ameena , Ciottone Gregory 
Published: April 2024

AbstractIntroduction:The threat of chemical, biological, radiologic, nuclear, and explosive (CBRNe) terrorist attacks has increased over time. The need for rapid and effective responses to such attacks is paramount. Effective medical counter-measures to CBRNe events are critical and training for such may effectively occur early in physician training. While some medical specialties are more involved than others, counter-terrorism medicine (CTM) spans all medical specialties.Methods:All United States allopathic medical schools were examined via online curriculums and queries for academic content related to CBRNe and terrorist medical counter-measures.Results:Analysis of 153 United States allopathic medical schools demonstrated that 15 (9.8%) medical schools offered educational content related to CBRNe and terrorist counter-measures. This is in contrast to legislation following the September 11, 2001 attacks that called for high priority for such education.Conclusion:Effective CBRNe medical counter-measures are currently in place; however, there is room for improvement in education that may begin during medical school. While certain medical specialties such as emergency medicine, primary care, and dermatology may have specific niches in such events, physicians of all medical specialties have something to offer, and even a basic education in medical school can help best prepare the nation for future attacks.
Replies to Critics of The Fiery Test of Critique
Authors: Proops Ian 
Published: April 2024

AbstractI reply to criticisms of my book The Fiery Test of Critique: A Reading of Kant’s Dialectic from Béatrice Longuenesse and Patricia Kitcher on the paralogisms, Allen Wood on the third antinomy and freedom, Des Hogan on the resolution of the antinomies, and Anja Jauernig on the ontological argument.
Do online pension dashboards affect pension knowledge and expectations? Evidence from a randomized survey experiment
Authors: Kramer Marc , Lensink Robert , Plantinga Auke 
Published: April 2024

AbstractWe test the effectiveness of an online interactive pension dashboard in improving pension funds participants' ability to make adequate pension decisions in terms of pension preparation, knowledge, self-efficacy, expectations, and intention-to-act. In a randomized survey experiment, treated participants of two pension funds receive an encouragement to visit an online pension dashboard. Treated individuals have more pension knowledge and an increased self-efficacy in the pension domain, especially so for females. The dashboard does not have a significant impact on the pension preparation or the errors in forecasts of pension income nor does it impact the willingness to act if there is a need to do so.
Breast tumors detection using multistatic microwave imaging with antipodal Vivaldi antennas utilizing DMAS and it-DMAS techniques
Authors: Asok Athul O. , Tripathi Ayush , Dey Sukomal 
Published: April 2024

AbstractThis work presents a study where a sinusoidal corrugated antipodal Vivaldi antenna (SC-AVA) operating in the ultra-wideband (UWB) region is employed as a transducer for microwave imaging (MWI) of a cancerous breast. The functionality of the antenna within the UWB range is confirmed based on performance parameters like return loss, gain, radiation pattern, fidelity factor, and group delay. E-field distribution, H-field distribution, and near field directivity simulations in the presence of the breast phantom have also been carried out and reported. The practical application of the developed antenna for biomedical imaging is evaluated by measuring the specific absorption rate (SAR) readings at multiple frequencies within its operating range. The SAR readings are obtained from an electromagnetic simulator by modelling a realistic heterogeneous breast phantom with multiple embedded tumors, and placing them in close proximity to the transducer. The modelled SC-AVA is further utilized for imaging multiple tumors hidden inside the gland layer of the heterogeneous breast phantom developed in-house. The fabricated breast phantom is scanned using the in-house developed multistatic MWI setup. Based on the data obtained from the scanning setup the images are reconstructed using both the delay multiply and sum (DMAS) and iterative DMAS imaging algorithms. Furthermore, a comparison of the reconstructed images is done to check in which case the obtained images are closer to the fabricated breast phantom.
Coupling and Decoupling Between Sedimentary Mercury and Organic Carbon Preservation in the Oxygenated Marine Environment
Authors: Qu Yang , Zhong Huan , Liu Xiting , Zhang Wenfang , Chen Tianyu 
Published: April 2024

AbstractMercury (Hg) enrichment relative to total organic carbon (TOC) in sedimentary records has been widely used as a volcanism proxy. However, the depositional and diagenetic effects on Hg burial are not well understood, limiting the reliability of the proxy. Here, we report a systematic investigation of Hg sedimentation under well‐oxygenated bottom water. Most of the studied cores show total mercury content (THg) to TOC ratio between 50 and 300 ppb/%, including northwest Pacific ODP Site 1208, East Equatorial Pacific ODP Sites 677 and 1241, the Antarctic Zone ODP Site 1094, and East China Sea sediment core EC2005. The consistent THg/TOC ratio confirms the strong coupling between Hg and particulate organic matter (POM) despite large differences in geographic locations, sedimentation rates, TOC content, POM sources, and early diagenetic environments. Nevertheless, the THg/TOC ratio is higher in sediments under well‐oxygenated bottom water than in those under oxygen‐depleted waters, probably as a result of a higher degree of organic matter degradation in oxygenated sediments during early diagenesis. The THg in the high TOC variability section at Site 1208 is abnormally high, resulting in decoupling between Hg and POM. Mercury in this section is still leachable by oxidizing solution and has a similar trend of variability with easily reducible iron content, implying that the metal oxide‐organic matter association might act as Hg bounding phase. We suggest that the enriched Hg is probably supplied by the neighboring high TOC sediment. Therefore, while THg/TOC > 300 ppb/% could be considered as distinct Hg enrichment in sedimentary records, the diagenetic mobilization effect should be first excluded as the possible cause as demonstrated by the records of site 1208. Our study therefore provides new insights into the Hg cycle in the modern ocean and the utilization of Hg enrichment as a volcanism proxy.
Continental Residual Topography Extracted From Global Analysis of Crustal Structure
Authors: Stephenson Simon N. , Hoggard Mark J. , Holdt Megan C. , White Nicky 
Published: April 2024

AbstractContinental topography is dominantly controlled by a combination of crustal thickness and density variations. Nevertheless, it is clear that some additional topographic component is supported by the buoyancy structure of the underlying lithospheric and convecting mantle. Isolating these secondary sources is not straightforward, but provides valuable information about mantle dynamics. Here, we estimate and correct for the component of topographic elevation that is crustally supported to obtain residual topographic anomalies for the major continents, excluding Antarctica. Crustal thickness variations are identified by assembling a global inventory of 26,725 continental crustal thickness estimates from local seismological data sets (e.g., wide‐angle/refraction surveys, calibrated reflection profiles, receiver functions). In order to convert crustal seismic velocity into density, we develop a parametrization that is based upon a database of 1,136 laboratory measurements of seismic velocity as a function of density and pressure. In this way, 4,120 new measurements of continental residual topography are obtained. Observed residual topography mostly varies between ±1 and 2 km on wavelengths of 1,000–5,000 km. Our results are generally consistent with the pattern of residual depth anomalies observed throughout the oceanic realm, with long‐wavelength free‐air gravity anomalies, and with the distribution of upper mantle seismic velocity anomalies. They are also corroborated by spot measurements of emergent marine strata and by the global distribution of intraplate magmatism that is younger than 10 Ma. We infer that a significant component of residual topography is generated and maintained by a combination of lithospheric thickness variation and sub‐plate mantle convection. Lithospheric composition could play an important secondary role, especially within cratonic regions.
Identification of genes that promote PI3K pathway activation and prostate tumour formation
Authors: Francis Jeffrey C. , Capper Amy , Rust Alistair G. , Ferro Klea , Ning Jian , Yuan Wei , de Bono Johann , Pettitt Stephen J. , Swain Amanda 
Published: April 2024

AbstractWe have performed a functional in vivo mutagenesis screen to identify genes that, when altered, cooperate with a heterozygous Pten mutation to promote prostate tumour formation. Two genes, Bzw2 and Eif5a2, which have been implicated in the process of protein translation, were selected for further validation. Using prostate organoid models, we show that either Bzw2 downregulation or EIF5A2 overexpression leads to increased organoid size and in vivo prostate growth. We show that both genes impact the PI3K pathway and drive a sustained increase in phospho-AKT expression, with PTEN protein levels reduced in both models. Mechanistic studies reveal that EIF5A2 is directly implicated in PTEN protein translation. Analysis of patient datasets identified EIF5A2 amplifications in many types of human cancer, including the prostate. Human prostate cancer samples in two independent cohorts showed a correlation between increased levels of EIF5A2 and upregulation of a PI3K pathway gene signature. Consistent with this, organoids with high levels of EIF5A2 were sensitive to AKT inhibitors. Our study identified novel genes that promote prostate cancer formation through upregulation of the PI3K pathway, predicting a strategy to treat patients with genetic aberrations in these genes particularly relevant for EIF5A2 amplified tumours.
OTUB1/NDUFS2 axis promotes pancreatic tumorigenesis through protecting against mitochondrial cell death
Authors: Huang Xiao-Dong , Du Li , Cheng Xiao-Chen , Lu Yu-Xin , Liu Qiao-Wei , Wang Yi-Wu , Liao Ya-Jin , Lin Dong-Dong , Xiao Feng-Jun 
Published: April 2024

AbstractPancreatic cancer is one of the most fatal cancers in the world. A growing number of studies have begun to demonstrate that mitochondria play a key role in tumorigenesis. Our previous study reveals that NDUFS2 (NADH: ubiquinone oxidoreductase core subunit S2), a core subunit of the mitochondrial respiratory chain complex I, is upregulated in Pancreatic adenocarcinoma (PAAD). However, its role in the development of PAAD remains unknown. Here, we showed that NDUFS2 played a critical role in the survival, proliferation and migration of pancreatic cancer cells by inhibiting mitochondrial cell death. Additionally, protein mass spectrometry indicated that the NDUFS2 was interacted with a deubiquitinase, OTUB1. Overexpression of OTUB1 increased NDUFS2 expression at the protein level, while knockdown of OTUB1 restored the effects in vitro. Accordingly, overexpression and knockdown of OTUB1 phenocopied those of NDUFS2 in pancreatic cancer cells, respectively. Mechanically, NDUFS2 was deubiquitinated by OTUB1 via K48-linked polyubiquitin chains, resulted in an elevated protein stability of NDUFS2. Moreover, the growth of OTUB1-overexpressed pancreatic cancer xenograft tumor was promoted in vivo, while the OTUB1-silenced pancreatic cancer xenograft tumor was inhibited in vivo. In conclusion, we revealed that OTUB1 increased the stability of NDUFS2 in PAAD by deubiquitylation and this axis plays a pivotal role in pancreatic cancer tumorigenesis and development.
Circuit complexity of quantum access models for encoding classical data
Authors: Zhang Xiao-Ming , Yuan Xiao 
Published: April 2024

AbstractHow to efficiently encode classical data is a fundamental task in quantum computing. While many existing works treat classical data encoding as a black box in oracle-based quantum algorithms, their explicit constructions are crucial for the efficiency of practical algorithm implementations. Here, we unveil the mystery of the classical data encoding black box and study the Clifford + T complexity in constructing several typical quantum access models. For general matrices (even including sparse ones), we prove that sparse-access input models and block-encoding both require nearly linear circuit complexities relative to the matrix dimension. We also give construction protocols achieving near-optimal gate complexities. On the other hand, the construction becomes efficient with respect to the data qubit when the matrix is a linear combination of polynomial terms of efficiently implementable unitaries. As a typical example, we propose improved block-encoding when these unitaries are Pauli strings. Our protocols are built upon improved quantum state preparation and a select oracle for Pauli strings, which hold independent values. Our access model constructions provide considerable flexibility, allowing for tunable ancillary qubit numbers and offering corresponding space-time trade-offs.
Quantum sensing of magnetic fields with molecular spins
Authors: Bonizzoni Claudio , Ghirri Alberto , Santanni Fabio , Affronte Marco 
Published: April 2024

AbstractSpins are prototypical systems with the potential to probe magnetic fields down to the atomic scale limit. Exploiting their quantum nature through appropriate sensing protocols allows to enlarge their applicability to fields not always accessible by classical sensors. Here we first show that quantum sensing protocols for AC magnetic fields can be implemented with molecular spin ensembles embedded into hybrid quantum circuits. We then show that, using only echo detection at microwave frequency and no optical readout, Dynamical Decoupling protocols synchronized with the AC magnetic fields can enhance sensitivity up to S ≈ 10−10 − 10−9 T Hz−1/2 with a low (4-5) number of applied pulses. These results paves the way for the development of strategies to exploit molecular spins as quantum sensors.
Nuclear and mitochondrial genomes of Polylopha cassiicola: the first assembly in Chlidanotinae (Tortricidae)
Authors: Yang Fangyuan , Cao Li-Jun , Chen Jin-Cui , Song Wei , Yu Yuzhu , Wei Shu-Jun 
Published: April 2024

AbstractTortricidae is one of the largest families in Lepidoptera, including subfamilies of Tortricinae, Olethreutinae, and Chlidanotinae. Here, we assembled the gap-free genome for the subfamily Chlidanotinae using Illumina, Nanopore, and Hi-C sequencing from Polylopha cassiicola, a pest of camphor trees in southern China. The nuclear genome is 302.03 Mb in size, with 36.82% of repeats and 98.4% of BUCSO completeness. The karyotype is 2n = 44 for males. We identified 15412 protein-coding genes, 1052 tRNAs, and 67 rRNAs. We also determined the mitochondrial genome of this species and annotated 13 protein-coding genes, 22 tRNAs, and one rRNA. These high-quality genomes provide valuable information for studying phylogeny, karyotypic evolution, and adaptive evolution of tortricid moths.
Molecular subtype identification of cerebral ischemic stroke based on ferroptosis-related genes
Authors: Wang Yufeng , Xu Xinjuan , Shui Xinjun , Ren Ruilin , Liu Yu 
Published: April 2024

AbstractCerebral ischemic stroke (CIS) has the characteristics of a high incidence, disability, and mortality rate. Here, we aimed to explore the potential pathogenic mechanisms of ferroptosis-related genes (FRGs) in CIS. Three microarray datasets from the Gene Expression Omnibus (GEO) database were utilized to analyze differentially expressed genes (DEGs) between CIS and normal controls. FRGs were obtained from a literature report and the FerrDb database. Weighted gene co-expression network analysis (WGCNA) and protein–protein interaction (PPI) network were used to screen hub genes. The receiver operating characteristic (ROC) curve was adopted to evaluate the diagnostic value of key genes in CIS, followed by analysis of immune microenvironment, transcription factor (TF) regulatory network, drug prediction, and molecular docking. In total, 128 CIS samples were divided into 2 subgroups after clustering analysis. Compared with cluster A, 1560 DEGs were identified in cluster B. After the construction of the WGCNA and PPI network, 5 hub genes, including MAPK3, WAS, DNAJC5, PRKCD, and GRB2, were identified for CIS. Interestingly, MAPK3 was a FRG that differentially expressed between cluster A and cluster B. The expression levels of 5 hub genes were all specifically highly in cluster A subtype. It is noted that neutrophils were the most positively correlated with all 5 real hub genes. PRKCD was one of the target genes of FASUDIL. In conclusion, five real hub genes were identified as potential diagnostic markers, which can distinguish the two subtypes well.
A novel SpaSA based hyper-parameter optimized FCEDN with adaptive CNN classification for skin cancer detection
Authors: Ali Rizwan , Manikandan A. , Lei Rui , Xu Jinghong 
Published: April 2024

AbstractSkin cancer is the most prevalent kind of cancer in people. It is estimated that more than 1 million people get skin cancer every year in the world. The effectiveness of the disease’s therapy is significantly impacted by early identification of this illness. Preprocessing is the initial detecting stage in enhancing the quality of skin images by removing undesired background noise and objects. This study aims is to compile preprocessing techniques for skin cancer imaging that are currently accessible. Researchers looking into automated skin cancer diagnosis might use this article as an excellent place to start. The fully convolutional encoder–decoder network and Sparrow search algorithm (FCEDN-SpaSA) are proposed in this study for the segmentation of dermoscopic images. The individual wolf method and the ensemble ghosting technique are integrated to generate a neighbour-based search strategy in SpaSA for stressing the correct balance between navigation and exploitation. The classification procedure is accomplished by using an adaptive CNN technique to discriminate between normal skin and malignant skin lesions suggestive of disease. Our method provides classification accuracies comparable to commonly used incremental learning techniques while using less energy, storage space, memory access, and training time (only network updates with new training samples, no network sharing). In a simulation, the segmentation performance of the proposed technique on the ISBI 2017, ISIC 2018, and PH2 datasets reached accuracies of 95.28%, 95.89%, 92.70%, and 98.78%, respectively, on the same dataset and assessed the classification performance. It is accurate 91.67% of the time. The efficiency of the suggested strategy is demonstrated through comparisons with cutting-edge methodologies.
Proof of biased behavior of Normalized Mutual Information
Authors: Mahmoudi Amin , Jemielniak Dariusz 
Published: April 2024

AbstractThe Normalized Mutual Information (NMI) metric is widely utilized in the evaluation of clustering and community detection algorithms. This study explores the performance of NMI, specifically examining its performance in relation to the quantity of communities, and uncovers a significant drawback associated with the metric's behavior as the number of communities increases. Our findings reveal a pronounced bias in the NMI as the number of communities escalates. While previous studies have noted this biased behavior, they have not provided a formal proof and have not addressed the causation of this problem, leaving a gap in the existing literature. In this study, we fill this gap by employing a mathematical approach to formally demonstrate why NMI exhibits biased behavior, thereby establishing its unsuitability as a metric for evaluating clustering and community detection algorithms. Crucially, our study exposes the vulnerability of entropy-based metrics that employ logarithmic functions to similar bias.