bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biology of Rhynchaenus maculosus provides insights and implications for integrated management of this emerging pest
Authors: Yang Ruisheng , Qiu Pengcheng , Gu Yujian , Ni Mingyang , Xue Zhenhai , Han Jianhua , Jiang Yiren , Jin Ying , Wang Yong , Zhou Xinfeng , Liu Wei , Zhang Jihui , Qin Li 
Published: August 2022

AbstractRhynchaenus maculosus is an emerging insect pest with an increasingly serious tendency. Lack of biology information results in the bottleneck of integrated management of this pest. To facilitate an available design of integrated pest management strategy, biology of R. maculosus, including voltinism, life cycle, distribution, and damage has been investigated. Results reveal that R. maculosus is oligophagous and distributes in Heilongjiang, Jilin, and Liaoning provinces, China. This pest produces one generation per year (univoltinism) and overwinters as adults in leaf litter. From mid-April to late-April, active overwintering adults emerge from overwintering sites. The next generation of adult R. maculosus appears from mid-May to early June until mid-August to early September when the beetles move into the overwintering places. The entire time span of adult occurrence ranges from 315.6 ± 3.6 to 336.4 ± 3.2 days (Mean ± SD). Larvae undergo 3 instars with a total duration of 20 to 23 days. R. maculosus larvae feed on Q. wutaishanica and Q. mongolica without host-specific preference between the two host species, but do not harm Q. acutissim. Three species of larval parasites were collected and identified as Braconidae sp., Eulophidae sp., and Ceraphronidae sp. Biological information of R. maculosus provides essential insights for design and implementation of integrated management of this pest.
Cancer cell histone density links global histone acetylation, mitochondrial proteome and histone acetylase inhibitor sensitivity
Authors: Bruhn Christopher , Bastianello Giulia , Foiani Marco 
Published: August 2022

AbstractChromatin metabolism is frequently altered in cancer cells and facilitates cancer development. While cancer cells produce large amounts of histones, the protein component of chromatin packaging, during replication, the potential impact of histone density on cancer biology has not been studied systematically. Here, we show that altered histone density affects global histone acetylation, histone deactylase inhibitor sensitivity and altered mitochondrial proteome composition. We present estimates of nuclear histone densities in 373 cancer cell lines, based on Cancer Cell Line Encyclopedia data, and we show that a known histone regulator, HMGB1, is linked to histone density aberrations in many cancer cell lines. We further identify an E3 ubiquitin ligase interactor, DCAF6, and a mitochondrial respiratory chain assembly factor, CHCHD4, as histone modulators. As systematic characterization of histone density aberrations in cancer cell lines, this study provides approaches and resources to investigate the impact of histone density on cancer biology.
ENTPD1/CD39 as a predictive marker of treatment response to gemogenovatucel-T as maintenance therapy in newly diagnosed ovarian cancer
Authors: Rocconi Rodney P. , Stanbery Laura , Tang Min , Madeira da Silva Luciana , Walter Adam , Monk Bradley J. , Herzog Thomas J. , Coleman Robert L. , Manning Luisa , Wallraven Gladice , Horvath Staci , Bognar Ernest , Senzer Neil , Brun Scott , Nemunaitis John 
Published: August 2022

Abstract
Background
Broadened use of predictive molecular and phenotypic profiling amongst oncologists has facilitated optimal integration of targeted- and immuno-therapeutics into clinical care. However, the use of predictive immunomarkers in ovarian cancer (OC) has not consistently translated into clinical benefit. Vigil (gemogenovatucel-T) is a novel plasmid engineered autologous tumor cell immunotherapy designed to knock down the tumor suppressor cytokines, TGFβ1 and TGFβ2, augment local immune function via increased GMCSF expression and enhance presentation of clonal neoantigen epitopes.

Methods
All patients enrolled in the VITAL trial (NCT02346747) of maintenance Vigil vs. placebo as front-line therapy with homologous recombination proficient (HRP) stage IIIB-IV newly diagnosed ovarian cancer underwent NanoString gene expression analysis. Tissue was obtained from surgically resected ovarian tumor tissue following surgical debulking. A statistical algorithm was used to analyze the NanoString gene expression data.

Results
Using the NanoString Statistical Algorithm (NSA), we identify high expression of ENTPD1/CD39 (which functions as the rate-limiting step in the production of the immune suppressor adenosine from ATP to ADP) as a presumptive predictor of response to Vigil versus placebo regardless of HRP status on the basis of relapse free survival (median not achieved vs 8.1 months, p = 0.00007) and overall survival (median not achieved vs 41.4 months, p = 0.013) extension.

Conclusion
NSA should be considered for application to investigational targeted therapies in order to identify populations most likely to benefit from treatment, in preparation for efficacy conclusive trials.
Domain‐specific feature recalibration and alignment for multi‐source unsupervised domain adaptation
Authors: Wang Mengzhu , Chen Dingyao , Tan Fangzhou , Liang Tianyi , Lan Long , Zhang Xiang , Luo Zhigang 
Published: August 2022

AbstractTraditional unsupervised domain adaptation (UDA) usually assumes that the source domain has labels and the target domain has no labels. In a real environment, labelled source domain data usually comes from multiple different distributions. To handle this problem, multi‐source unsupervised domain adaptation (MUDA) is proposed. Multi‐source unsupervised domain adaptation aims to adapt the model trained on multi‐labelled source domains to the unlabelled target domain. In this paper, a novel MUDA method by domain‐specific feature recalibration and alignment (FRA) is proposed. Specifically, to achieve feature recalibration, the authors leverage channel attention to pick out significant channels and spatial attention to focus on important features in different channels. Such integration of channel and spatial attention can lead to effective domain‐specific feature recalibration that may be of great importance to MUDA. In addition, to achieve better MUDA, the authors propose domain‐specific feature alignment which consists of Maximum Mean Discrepancy and JS‐divergence loss. Maximum Mean Discrepancy can reduce the difference between the source domain and target domain. Meanwhile, JS‐divergence loss may ensure the prediction consistency of different classifiers in the source domains. Four experiments have proved that FRA can achieve significantly better results in popular benchmarks for MUDA.
3D‐FEGNet: A feature enhanced point cloud generation network from a single image
Authors: Wang Ende , Sun Hui , Wang Bing , Cao Zhiyu , Liu Zhiyuan 
Published: August 2022

AbstractDeep learning‐based single view 3D reconstruction is a hot topic in computer vision. However, predicting a more realistic 3D point cloud from a single image is an ill‐posed problem. In recent years, most of the 3D point cloud prediction methods based on single view are straight‐through structure, which will cause the loss of part of feature information and the loss of part of detail information of the resulting point clouds, which will lead to the unsatisfactory visual effect of reconstructed point clouds. In this paper, a Feature‐Enhanced 3D point clouds generation Network (3D‐FENet) from a single image is proposed. In order to enhance the feature information of RGB image, edge extraction module is adopted. In the process of point cloud generation, a point cloud pyramid is designed, which combines low resolution point cloud with high resolution point cloud to enhance the local details of the generated point clouds. In the fine‐tuning stage, the differential projection module is used to fine‐tune the whole network by 2D projection of reconstructed point clouds. Experimental results show that the performance of the authors’ proposed method is better than the state‐of‐the‐art studies.
Probabilistic optimal management of active and reactive power in distribution networks using electric vehicles with harmonic compensation capability
Authors: Partovi Mojtaba , Esmaeili Saeid , Aein Morteza 
Published: August 2022

AbstractElectrical vehicles (EVs) are among the fastest‐growing electrical loads that change both temporally and spatially at distribution networks. Moreover, the existence of uncertain parameters, such as EVs as well as domestic loads in power networks, poses serious operational challenges for them. Accordingly, stochastic studies of system performance are a must. Against this background, this paper aims to present a stochastic multi‐objective method for the problem of simultaneous active and reactive power management as well as harmonic compensation in distribution networks in the presence of EVs and non‐linear devices (NLDs). This method minimizes costs associated with power generation and losses. Besides, it improves the total harmonic distortion of voltage (THDv) at network buses subject to network and EV constraints. In the proposed method, to strike a balance between exploration and exploitation abilities, a hybrid technique named the “PSO‐GA optimization algorithm” was used to take advantage of both the genetic algorithm (GA) and the particle swarm optimization (PSO) method. Accordingly, the effectiveness of the proposed method was examined on a standard IEEE 33‐bus distribution network populated with EVs equipped with on‐board bidirectional chargers. The results obtained showed that the proposed model improved network power quality indices as well as economic and technical issues of EVs in parking lots.
Evaluation of map‐matching algorithms for smartphone‐based active travel data
Authors: Berjisian Elmira , Bigazzi Alexander 
Published: August 2022

AbstractGlobal Positioning System (GPS) data on walking and cycling trips can generate useful insights for transportation systems but require substantial processing. One of the key GPS data processing steps is “map‐matching”, or inference of the sequence of network links traversed during travel. The objective of this research is to evaluate the accuracy of existing map‐matching algorithms for GPS data on active travel. A method to flag erroneous map‐matching results without requiring ground‐truth data and improvements for active travel data are also proposed. Six map‐matching algorithms are applied to a sample of 63 trajectories, stratified on network density and average heading change, extracted from a large set of real‐world trips from metropolitan Vancouver, Canada. Results show that the best performing method is PgMapMatch, which can be further improved by adjustments to link costs and allowing wrong‐way travel. Two other algorithms have similarly accurate routes (70–90% accuracy, depending on the measure), but fail to generate routes for about a third of trips. The proposed error detection measure can be used (without ground truth data) to flag matched routes requiring visual inspection, with a recommendation to look for: Wrong‐way travel, missing links in the network data, and parallel facilities on the same street.
Hot Exoplanet Atmospheres Resolved with Transit Spectroscopy (HEARTS)
Authors: Mounzer D. , Lovis C. , Seidel J. V. , Attia M. , Allart R. , Bourrier V. , Ehrenreich D. , Wyttenbach A. , Astudillo-Defru N. , Beatty T. G. , Cegla H. , Heng K. , Lavie B. , Lendl M. , Melo C. , Pepe F. , Pepper J. , Rodriguez J. E. , Ségransan D. , Udry S. , Linder E. , Sousa S. 
Published: August 2022

Context. High-resolution transmission spectroscopy has allowed for in-depth information on the composition and structure of exoplanetary atmospheres to be garnered in the last few years, especially in the visible and in the near-infrared. Many atomic and molecular species have been detected thanks to data gathered from state-of-the-art spectrographs installed on large ground-based telescopes. Nevertheless, the Earth daily cycle has been limiting observations to exoplanets with the shortest transits.
Aims. The inflated sub-Saturn KELT-11 b has a hot atmosphere and orbits a bright evolved subgiant star, making it a prime choice for atmospheric characterization. The challenge lies in its transit duration – of more than 7 h – which can only be covered partially or without enough out-of-transit baselines when observed from the ground.
Methods. To overcome this constraint, we observed KELT-11 b with the HARPS spectrograph in series of three consecutive nights, each focusing on a different phase of the planetary orbit: before, during, and after the transit. This allowed us to gather plenty of out-of-transit baseline spectra, which was critical to build a spectrum of the unocculted star with sufficient precision. Telluric absorption lines were corrected using the atmospheric transmission code MOLECFIT. Individual high-resolution transmission spectra were merged to obtain a high signal-to-noise transmission spectrum to search for sodium in KELT-11 b’s atmosphere through the ~5900 Å doublet.
Results. Our results highlight the potential for independent observations of a long-transiting planet over consecutive nights. Our study reveals a sodium excess absorption of 0.28 ± 0.05% and 0.50 ± 0.06% in the Na D1 and D2 lines, respectively. This corresponds to 1.44 and 1.69 times the white-light planet radius in the line cores. Wind pattern modeling tends to prefer day-to-night side winds with no vertical winds, which is surprising considering the planet bloatedness. The modeling of the Rossiter-Mclaughlin effect yields a significantly misaligned orbit, with a projected spin-orbit angle of λ = −77.86−2.26+2.36∘.
Conclusions. Belonging to the under-studied group of inflated sub-Saturns, the characteristics of KELT-11 b – notably its extreme scale height and long transit – make it an ideal and unique target for next-generation telescopes. Our results as well as recent findings from HST, TESS, and CHEOPS observations could make KELT-11 b a benchmark exoplanet in atmospheric characterization.
Room-Temperature, Transition-Metal-Free Arylation of Alcohols with Aryl Bromides
Authors: Wang Yanqing , Young David J. , Li Hong-Xi , Zhu Da-Liang , Li Jie , Wu Qi 
Published: August 2022

AbstractSodium tert-butoxide promotes the efficient etherification of alcohols with aryl bromides at room temperature. This simple procedure has a broad substrate scope, providing a practical pathway to aryl alkyl ethers in good yields without the addition of any transition metal species.
Basic Concepts and Activation Modes in Visible-Light-Photocatalyzed Organic Synthesis
Authors: Gadde Karthik , De Vos Dries , Maes Bert U. W. 
Published: August 2022

AbstractVisible light photocatalysis has established itself as a promising sustainable and powerful strategy to access reactive intermediates, i.e. radicals and radical ions, under mild reaction conditions using visible light irradiation. This field enables the development of formerly challenging or even previously inaccessible organic transformations. In this tutorial review, an overview of the essential concepts and techniques of visible-light-mediated chemical processes and the most common types of photochemical activation of organic molecules, i.e. photoredox catalysis and photosensitization, are discussed. Selected photocatalytic alkene functionalization reactions are included as examples to illustrate the basic concepts and techniques with particular attention given to the understanding of their reaction mechanisms.1	Introduction2	Photocatalysts3	Photophysical and Electrochemical Properties3.1	Excited-State Energy3.2	Ground-State Redox Potentials3.3	Excited-State Redox Potentials3.4	Local Absorbance Maximum for Lowest Energy Absorption3.5	Excited-State Lifetime3.6	[Ru(bpy)3]2+ as a Case Study3.7	Basic Laws and Equations of Photochemistry and Photocatalysis3.8	Common Terminology in Photochemistry and Photocatalysis4	Activation Modes in Photocatalysis4.1	Photoinduced Electron Transfer4.2	Photoinduced Energy Transfer5	Conclusions and Outlook
Concomitant Use of Selective Serotonin Reuptake Inhibitors and Oral Anticoagulants and Risk of Major Bleeding: A Systematic Review and Meta-analysis
Authors: Rahman Alvi A. , He Na , Rej Soham , Platt Robert W. , Renoux Christel 
Published: August 2022

Background Selective serotonin reuptake inhibitors (SSRIs), the most prescribed antidepressants, are associated with a modestly increased risk of major bleeding. However, in patients treated with both SSRIs and oral anticoagulants (OACs), the risk of major bleeding may be substantial.
Objective To assess the risk of major bleeding associated with concomitant use of SSRIs and OACs, compared with OAC use alone.
Methods We searched MEDLINE, Embase, PsycINFO, and the Cochrane Central Register of Controlled Trials (from inception to December 1, 2021) for clinical trials and observational studies assessing the association between concomitant use of SSRIs and OACs and the risk of major bleeding. Given sufficient homogeneity of studies, we conducted a random-effects meta-analysis to estimate a pooled hazard ratio (HR) of major bleeding associated with concomitant use of SSRIs and OACs, compared with OAC use alone.
Results The review comprised 14 studies, including 7 cohort and 7 nested case–control studies. Following assessment of clinical and methodological heterogeneity, eight studies with a total of 98,070 patients were eligible for the meta-analysis. The pooled HR of major bleeding associated with concomitant use of SSRIs and OACs was 1.35 (95% confidence interval [CI]: 1.14–1.58). In secondary analyses, the pooled HR for concomitant use of SSRIs and direct OACs was 1.47 (95% CI: 1.03–2.10).
Conclusion Concomitant use of SSRIs and OACs was associated with an increased risk of major bleeding. Overall, our findings suggest that physicians may need to tailor treatment according to individual patient risk factors for bleeding when prescribing SSRIs to patients using OACs.
Provider Perspectives: Identification and Follow-up of Infants who Are Deaf or Hard of Hearing
Authors: Cree Robyn A. , Bitsko Rebecca , Grimm Cheri , Nash Ashley , Cahill Eric S. , Dunham Eugenia , Logan Naeemah , McKay Susannah L. , Martinez David R. , Gaffney Marcus 
Published: August 2022

Objective Without timely screening, diagnosis, and intervention, hearing loss can cause significant delays in a child's speech, language, social, and emotional development. In 2019, Texas had nearly twice the average rate of loss to follow-up (LFU) or loss to documentation (LTD; i.e., missing documentation of services received) among infants who did not pass their newborn hearing screening compared to the United States overall (51.1 vs. 27.5%). We aimed to identify factors contributing to LFU/LTD among infants who do not pass their newborn hearing screening in Texas.
Study Design Data were collected through semistructured qualitative interviews with 56 providers along the hearing care continuum, including hospital newborn hearing screening program staff, audiologists, primary care physicians, and early intervention (EI) program staff located in three rural and urban public health regions in Texas. Following recording and transcription of the interviews, we used qualitative data analysis software to analyze themes using a conventional content analysis approach.
Results Frequently cited barriers included problems with family access to care, difficulty contacting patients, problems with communication between providers and referrals, lack of knowledge among providers and parents, and problems using the online reporting system. Providers in rural areas more often mentioned problems with family access to care and contacting families compared to providers in urban areas.
Conclusion These findings provide insight into strategies that public health professionals and health care providers can use to work together to help further increase the number of children identified early who may benefit from EI services.
Key Points
A Neonatologist-Driven Antimicrobial Stewardship Program in a Neonatal Tertiary Care Center in Oman
Authors: Malviya Manoj N. , Murthi Sathia , Selim Ahmed A. , Malik Fadia , Jayraj Dhanya , Mendoza Julet , Ramdas Vidhya , Rasheed Sohail , Jabri Amal Al , Sabri Raid al , Asiry Salima Al , Yahmadi Mohammed Al , Shah Prakesh S. 
Published: August 2022

Objective The overuse of antimicrobials in neonates is not uncommon and has resulted in a global health crisis of antibiotic resistance. This study aimed to evaluate changes associated with a neonatologist-driven antimicrobial stewardship program (ASP) in antibiotic usage.
Study Design We conducted a pre–post retrospective cohort study in a tertiary care hospital in Oman. Neonates admitted in 2014 to 2015 were considered as the pre-ASP cohort. In 2016, a neonatologist-driven ASP was launched in the unit. The program included the optimization and standardization of antibiotic use for early- and late-onset sepsis using the Centers for Disease Control and Prevention's “broad principles,” an advanced antimicrobial decision-support system to resolve contentious issues, and placed greater emphasis on education and behavior modification. Data from the years 2016 to 2019 were compared with previous data. The outcome of interest included days of therapy (DOT) for antimicrobials. Baseline characteristics and outcomes were compared using standard statistical measures.
Results The study included 2,098 neonates in the pre-ASP period and 5,464 neonates in the post-ASP period. There was no difference in baseline characteristics. The antibiotic use decreased from 752 DOT per 1,000 patient-days (PD) in the pre-ASP period to 264 DOT in the post-ASP period (64.8% reduction, p < 0.001). The proportion of neonates who received any antibiotics declined by 46% (pre-ASP = 1,161/2,098, post-ASP = 1,676/5,464). The most statistically significant reduction in DOT per 1,000 PD was observed in the use of cefotaxime (82%), meropenem (74%), and piperacillin–tazobactam (74%). There was no change in mortality, culture-positive microbial profile, or multidrug-resistant organism incidence in the post-ASP period.
Conclusion Empowering frontline neonatologists to drive ASPs was associated with a sustained reduction in antibiotic utilization.
Key Points