bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plume‐Induced Delamination Initiated at Rift Zones on Venus
Authors: Adams Andrea C. , Stegman Dave R. , Mohammadzadeh Hiva , Smrekar Suzanne E. , Tackley Paul J. 
Published: October 2023

AbstractVenus' tectonic evolution is not well understood. Thousands of kilometers of possible subduction sites on Venus have been identified along networks of rift zone trenches called chasmata. Rift zones are strong candidates for tectonic recycling due to pre‐existing weaknesses in the lithosphere. Recently, peel‐back delamination (PBD) was proposed as a mechanism of regional‐scale lithospheric recycling initiated at Venusian rift zones (Adams et al., 2022, https://doi.org/10.1029/2022je007460). PBD occurs when the lithospheric mantle becomes sufficiently thick and negatively buoyant to decouple and peel away from the overlying crust remaining at the surface. Both positively and negatively buoyant lithosphere were shown to undergo buoyancy‐driven PBD, though delamination is inhibited by increasing positive plate buoyancy. In this study, we use 2D numerical models to verify that delamination can be initiated in thinner, more positively buoyant lithosphere than in models with no plume‐rift interactions. Our results show that plume‐induced PBD in positively buoyant plates is facilitated by the excess negative buoyancy in the lithospheric mantle and increasing plume buoyancy force, and it is inhibited by increasing crustal buoyancy and decreasing rift width. We propose an age‐progressive framework for delamination at rift zones, where young, thin plates require a larger plume buoyancy force to be destabilized than thicker, yet still positively buoyant plates. We use lithospheric thickness constraints to predict PBD may be most likely to initiate near the Dali‐Diana Chasmata system.
Mobile element insertions in rare diseases: a comparative benchmark and reanalysis of 60,000 exome samples
Authors: Wijngaard Robin , Demidov German , O’Gorman Luke , Corominas-Galbany Jordi , Yaldiz Burcu , Steyaert Wouter , de Boer Elke , Vissers Lisenka E. L. M. , Kamsteeg Erik-Jan , Pfundt Rolph , Swinkels Hilde , den Ouden Amber , te Paske Iris B. A. W. , de Voer Richarda M. , Faivre Laurence , Denommé-Pichon Anne-Sophie , Duffourd Yannis , Vitobello Antonio , Chevarin Martin , Straub Volker , Töpf Ana , van der Kooi Anneke J. , Magrinelli Francesca , Rocca Clarissa , Hanna Michael G. , Vandrovcova Jana ,   Solve-RD consortium, Ossowski Stephan , Laurie Steven , Gilissen Christian 
Published: October 2023

AbstractMobile element insertions (MEIs) are a known cause of genetic disease but have been underexplored due to technical limitations of genetic testing methods. Various bioinformatic tools have been developed to identify MEIs in Next Generation Sequencing data. However, most tools have been developed specifically for genome sequencing (GS) data rather than exome sequencing (ES) data, which remains more widely used for routine diagnostic testing. In this study, we benchmarked six MEI detection tools (ERVcaller, MELT, Mobster, SCRAMble, TEMP2 and xTea) on ES data and on GS data from publicly available genomic samples (HG002, NA12878). For all the tools we evaluated sensitivity and precision of different filtering strategies. Results show that there were substantial differences in tool performance between ES and GS data. MELT performed best with ES data and its combination with SCRAMble increased substantially the detection rate of MEIs. By applying both tools to 10,890 ES samples from Solve-RD and 52,624 samples from Radboudumc we were able to diagnose 10 patients who had remained undiagnosed by conventional ES analysis until now. Our study shows that MELT and SCRAMble can be used reliably to identify clinically relevant MEIs in ES data. This may lead to an additional diagnosis for 1 in 3000 to 4000 patients in routine clinical ES.
What are the health impacts of nicotine and tobacco products on young people?
Authors: Deery Chris 
Published: October 2023

Abstract
Design
Narrative review.

Review question
What are the implications of new nicotine and tobacco products on adolescent health?

Products
E-cigarettes and oral nicotine products such as pouches, lozenges, tablets, gum, and gummies.

Results
These products can be addictive and can cause respiratory, cardiovascular and oral potential health problems. They also have effects on brain development. Products are attractive to adolescents, with more than 1:10 American adolescents uses them.

Conclusions
The use of nicotine and tobacco products by adolescents puts their health at risk and may, in some instances, lead to nicotine addiction. Those providing healthcare for adolescents have an opportunity to provide advice and signpost people to resources to help them stop using such products. There is also a need for legislation to restrict the sale of e-cigarettes and tobacco products.
A rhythmically pulsing leaf-spring DNA-origami nanoengine that drives a passive follower
Authors: Centola Mathias , Poppleton Erik , Ray Sujay , Centola Martin , Welty Robb , Valero Julián , Walter Nils G. , Šulc Petr , Famulok Michael 
Published: October 2023

AbstractMolecular engineering seeks to create functional entities for modular use in the bottom-up design of nanoassemblies that can perform complex tasks. Such systems require fuel-consuming nanomotors that can actively drive downstream passive followers. Most artificial molecular motors are driven by Brownian motion, in which, with few exceptions, the generated forces are non-directed and insufficient for efficient transfer to passive second-level components. Consequently, efficient chemical-fuel-driven nanoscale driver–follower systems have not yet been realized. Here we present a DNA nanomachine (70 nm × 70 nm × 12 nm) driven by the chemical energy of DNA-templated RNA-transcription-consuming nucleoside triphosphates as fuel to generate a rhythmic pulsating motion of two rigid DNA-origami arms. Furthermore, we demonstrate actuation control and the simple coupling of the active nanomachine with a passive follower, to which it then transmits its motion, forming a true driver–follower pair.
Higher-dimensional processing using a photonic tensor core with continuous-time data
Authors: Dong Bowei , Aggarwal Samarth , Zhou Wen , Ali Utku Emre , Farmakidis Nikolaos , Lee June Sang , He Yuhan , Li Xuan , Kwong Dim-Lee , Wright C. D. , Pernice Wolfram H. P. , Bhaskaran H. 
Published: October 2023

AbstractNew developments in hardware-based ‘accelerators’ range from electronic tensor cores and memristor-based arrays to photonic implementations. The goal of these approaches is to handle the exponentially growing computational load of machine learning, which currently requires the doubling of hardware capability approximately every 3.5 months. One solution is increasing the data dimensionality that is processable by such hardware. Although two-dimensional data processing by multiplexing space and wavelength has been previously reported, the use of three-dimensional processing has not yet been implemented in hardware. In this paper, we introduce the radio-frequency modulation of photonic signals to increase parallelization, adding an additional dimension to the data alongside spatially distributed non-volatile memories and wavelength multiplexing. We leverage higher-dimensional processing to configure such a system to an architecture compatible with edge computing frameworks. Our system achieves a parallelism of 100, two orders higher than implementations using only the spatial and wavelength degrees of freedom. We demonstrate this by performing a synchronous convolution of 100 clinical electrocardiogram signals from patients with cardiovascular diseases, and constructing a convolutional neural network capable of identifying patients at sudden death risk with 93.5% accuracy.
Feasibility of a dietary intervention to modify gut microbial metabolism in patients with hematopoietic stem cell transplantation
Authors: Riwes Mary M. , Golob Jonathan L. , Magenau John , Shan Mengrou , Dick Gregory , Braun Thomas , Schmidt Thomas M. , Pawarode Attaphol , Anand Sarah , Ghosh Monalisa , Maciejewski John , King Darren , Choi Sung , Yanik Gregory , Geer Marcus , Hillman Ethan , Lyssiotis Costas A. , Tewari Muneesh , Reddy Pavan 
Published: October 2023

AbstractEvaluation of the impact of dietary intervention on gastrointestinal microbiota and metabolites after allogeneic hematopoietic stem cell transplantation (HCT) is lacking. We conducted a feasibility study as the first of a two-phase trial. Ten adults received resistant potato starch (RPS) daily from day −7 to day 100. The primary objective was to test the feasibility of RPS and its effect on intestinal microbiome and metabolites, including the short-chain fatty acid butyrate. Feasibility met the preset goal of 60% or more, adhering to 70% or more doses; fecal butyrate levels were significantly higher when participants were on RPS than when they were not (P < 0.0001). An exploratory objective was to evaluate plasma metabolites. We observed longitudinal changes in plasma metabolites compared to baseline, which were independent of RPS (P < 0.0001). However, in recipients of RPS, the dominant plasma metabolites were more stable compared to historical controls with significant difference at engraftment (P < 0.05). These results indicate that RPS in recipients of allogeneic HCT is feasible; in this study, it was associated with significant alterations in intestinal and plasma metabolites. A phase 2 trial examining the effect of RPS on graft-versus-host disease in recipients of allogeneic HCT is underway. ClinicalTrials.gov registration: NCT02763033.
Structure of LRRK1 and mechanisms of autoinhibition and activation
Authors: Reimer Janice M. , Dickey Andrea M. , Lin Yu Xuan , Abrisch Robert G. , Mathea Sebastian , Chatterjee Deep , Fay Elizabeth J. , Knapp Stefan , Daugherty Matthew D. , Reck-Peterson Samara L. , Leschziner Andres E. 
Published: October 2023

AbstractLeucine Rich Repeat Kinase 1 and 2 (LRRK1 and LRRK2) are homologs in the ROCO family of proteins in humans. Despite their shared domain architecture and involvement in intracellular trafficking, their disease associations are strikingly different: LRRK2 is involved in familial Parkinson’s disease while LRRK1 is linked to bone diseases. Furthermore, Parkinson’s disease-linked mutations in LRRK2 are typically autosomal dominant gain-of-function while those in LRRK1 are autosomal recessive loss-of-function. Here, to understand these differences, we solved cryo-EM structures of LRRK1 in its monomeric and dimeric forms. Both differ from the corresponding LRRK2 structures. Unlike LRRK2, which is sterically autoinhibited as a monomer, LRRK1 is sterically autoinhibited in a dimer-dependent manner. LRRK1 has an additional level of autoinhibition that prevents activation of the kinase and is absent in LRRK2. Finally, we place the structural signatures of LRRK1 and LRRK2 in the context of the evolution of the LRRK family of proteins.
White blood cell image analysis for infection detection based on virtual hexagonal trellis (VHT) by using deep learning
Authors: Rashid Shahid , Raza Mudassar , Sharif Muhammad , Azam Faisal , Kadry Seifedine , Kim Jungeun 
Published: October 2023

AbstractWhite blood cells (WBCs) are an indispensable constituent of the immune system. Efficient and accurate categorization of WBC is a critical task for disease diagnosis by medical experts. This categorization helps in the correct identification of medical problems. In this research work, WBC classes are categorized with the help of a transform learning model in combination with our proposed virtual hexagonal trellis (VHT) structure feature extraction method. The VHT feature extractor is a kernel-based filter model designed over a square lattice. In the first step, Graft Net CNN model is used to extract features of augmented data set images. Later, the VHT base feature extractor extracts useful features. The CNN-extracted features are passed to ant colony optimization (ACO) module for optimal features acquisition. Extracted features from the VHT base filter and ACO are serially merged to create a single feature vector. The merged features are passed to the support vector machine (SVM) variants for optimal classification. Our strategy yields 99.9% accuracy, which outperforms other existing methods.
Relationship between aging and control of metabolic syndrome with telomere shortening: a cross-sectional study
Authors: Devrajani Tarachand , Abid Shariq , Shaikh Hina , Shaikh Iram , Devrajani Durshana Bai , Memon Sikander Munir , Waryah Ali Muhammad , Ujjan Ikram Din , Syed Binafsha Manzoor 
Published: October 2023

AbstractAging is considered one of the major risk factors for several human disorders. The telomere plays a crucial role in regulating cellular responsiveness to stress and growth stimuli as well as maintaining the integrity of the Deoxyribonucleic Acid (DNA), and aging leads to the progressive decline in the telomere length (TL) due to continuous cell division. The aim of this study was to determine the relationship between TL and advancing age and the impact of metabolic syndrome (MetS) on TL. Firstly, we determined the association of advancing age and TL, by measuring telomere length (T/S ratio) in healthy volunteers (n = 90). The TL was compared between normal population and patients with metabolic syndrome (n = 298). The age matched controlled and uncontrolled MetS patients (n = 149) were also compared for their TL T/S ratio. The TL showed negative correlation with advancing age, whereas the significant change was observed at the cut-offs of 40 and 70 years defining 40 with longer TL and 70 as shorter TL. The longest T/S ratio at 2.46 was measured at the age range of 1 year in healthy volunteers, while elderly population showed considerably shorter TL. The patients older than 60 years with poor or uncontrolled MetS had shorter TL, as compared to the controlled MetS. In conclusion our findings suggest that TL was negatively correlated with advancing age. Uncontrolled metabolic syndrome appeared to have worsening effects on TL. Telomere length appears to have potential to be used a parameter to determine age. However, further large scale studies are recommended to make firm guidelines.
Smaller-the-better-type six sigma product index
Authors: Chen Kuen-Suan , Hsieh Tsung-Hua , Yu Chun-Min , Yao Kai-Chao 
Published: October 2023

AbstractBased on some studies, there are many important parts of tool machines, all of which have some essential smaller-the-better-type quality characteristics. The six sigma quality index of the smaller-the-better type offers accurate measurement of the process yield and the six sigma quality level. In this paper, we first proposed a six sigma product index by integrating all evaluation indicators for products that contain several quality characteristics of the smaller-the-better type. Next, we derived the confidence interval of this six sigma product index and developed an evaluation model for product quality. When a product passes the evaluation of this model, not only can it be guaranteed that the product reaches the required quality level, but also a high rate of product yield can be ensured. In addition, we also created a product improvement testing model, which can avoid missing opportunities for improvement in the process to ensure improvement effects. This complete evaluation and improvement model is applicable to the entire machine tool industry chain. It can not only increase the product value of the machine tool industry chain but also decrease environmental pollution caused by rework or scrap, which is beneficial to companies to enhance their image of fulfilling social responsibilities. Apart from the above advantages, the model formed in this paper is based on confidence intervals, thereby reducing the chance of misjudgment resulting from sampling error.
A physicochemical model of X-ray induced photodynamic therapy (X-PDT) with an emphasis on tissue oxygen concentration and oxygenation
Authors: Hosseini Farideh. S. , Naghavi Nadia , Sazgarnia Ameneh 
Published: October 2023

AbstractX-PDT is one of the novel cancer treatment approaches that uses high penetration X-ray radiation to activate photosensitizers (PSs) placed in deep seated tumors. After PS activation, some reactive oxygen species (ROS) like singlet oxygen (1O2) are produced that are very toxic for adjacent cells. Efficiency of X-PDT depends on 1O2 quantum yield as well as X-ray mortality rate. Despite many studies have been modeled X-PDT, little is known about the investigation of tissue oxygen content in treatment outcome. In the present study, we predicted X-PDT efficiency through a feedback of physiological parameters of tumor microenvironment includes tissue oxygen and oxygenation properties. The introduced physicochemical model of X-PDT estimates 1O2 production in a vascularized and non-vascularized tumor under different tissue oxygen levels to predict cell death probability in tumor and adjacent normal tissue. The results emphasized the importance of molecular oxygen and the presence of a vascular network in predicting X-PDT efficiency.
Genetic polymorphisms in ABCB1 are correlated with the increased risk of atorvastatin-induced muscle side effects: a cross-sectional study
Authors: Lalatović Ninoslava , Ždralević Maša , Antunović Tanja , Pantović Snežana 
Published: October 2023

AbstractGenetic factors are recognized as risk factors for statin-associated muscle symptoms (SAMS), which are the most common cause of statin intolerance. The aim of this study was to determine whether there is an association between polymorphisms 1236C > T, 2677G > T/A, and 3435C > T in the ABCB1 gene, encoding the efflux transporter of statins, and SAMS, as results on this topic are still controversial. A cross-sectional study was conducted on patients with or without SAMS using atorvastatin. The influence of non-genetic variables on SAMS was also evaluated. Our results show that patients with TT genotype in 1236C > T, 2677G > T/A, and 3435C > T polymorphisms had higher risk of developing SAMS, compared to wild type and heterozygous carriers together (OR 4.292 p = 0.0093, OR 5.897 p = 0.0023 and OR 3.547 p = 0.0122, respectively). Furthermore, TTT/TTT diplotype was also associated with a higher risk of SAMS, OR 9.234 (p = 0.0028). Only family history of cardiovascular disease was found to be a risk factor for SAMS, in addition to the known non-genetic variables. We believe that ABCB1 genotyping has great potential to be incorporated into clinical practice to identify high-risk patients in a timely manner.
Association of prehospital advanced airway and epinephrine with survival in patients with out-of-hospital cardiac arrest
Authors: Ahn Sejoong , Jin Bo-Yeong , Cho Hanjin , Moon Sungwoo , Cho Young-Duck , Park Jong-Hak 
Published: October 2023

AbstractSurvival benefits of prehospital advanced airway and epinephrine in out-of-hospital cardiac arrest (OHCA) patients are controversial, but few studies evaluated this together. This study evaluated association of prehospital advanced airway and epinephrine with survival outcomes in OHCA patients. This was observational study using a prospective multicentre KoCARC registry. Adult OHCA patients between October 2015 and December 2021 were included. The variables of interest were prehospital managements, which was classified into basic life support (BLS)-only, BLS + advanced airway, and BLS + advanced airway + epinephrine. In total, 8217 patients were included in analysis. Survival to discharge and good neurological outcomes were lowest in the BLS + advanced airway + epinephrine group (22.1% in BLS-only vs 13.2% in BLS + advanced airway vs 7.5% in BLS + advanced airway + epinephrine, P < 0.001 and 17.1% in BLS-only vs 9.2% in BLS + advanced airway vs 4.3% in BLS + advanced airway + epinephrine, P < 0.001, respectively). BLS + advanced airway + epinephrine group was less likely to survive to discharge and have good neurological outcomes (aOR 0.39, 95% CI 0.28–0.55, P < 0.001 and aOR 0.33, 95% CI 0.21–0.51, P < 0.001, respectively) than BLS-only group after adjusting for potential confounders. In prehospital settings with intermediate EMS providers and prehospital advanced airway insertion is performed followed by epinephrine administration, prehospital management with BLS + advanced airway + epinephrine in OHCA patients was associated with lower survival to discharge rate compared to BLS-only.
Evaluating knowledge about HIV and discriminatory attitudes among Pakistani women of reproductive age using 2017–18 Demographic Health Survey data
Authors: Sameen Sonia , Lakhdir Maryam Pyar Ali , Azam Syed Iqbal , Asad Nargis 
Published: October 2023

AbstractA prominent issue associated with HIV is the stigma around it owing to a lack of awareness. This study aimed to find the association between HIV and AIDS-related knowledge and discriminatory attitudes amongst Pakistani women of reproductive age using the 2017–18 Pakistani Demographic Health Survey (PDHS) data. We analyzed a sample of 3381 Pakistani women of reproductive age using ordinal logistic regression for complex survey data. Two composite variables were created using the HIV module to denote the respondents’ HIV-related knowledge and their attitude toward people living with HIV (PLHIV) and calculated using a scoring method. Additional variables included the respondents’ age, education level, socioeconomic status, residential setting, and HIV testing history. More than half (58.8%) of the respondents presented with a negative attitude toward PLHIV and 64.3% of the respondents had poor knowledge regarding the illness. In the multivariable analysis, knowledge about HIV and level of education reported significant associations with discriminatory attitudes. We concluded that the odds of individuals living in a rural setting and hailing from a low socioeconomic background presenting with a negative attitude towards PLHIV were 2.52 times (95% CI 1.07–5.89) higher as compared to those living in an urban setting from a high socioeconomic background.