bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expansion of apple cultivation increases the abundance of codling moth (Cydia pomonella) in agricultural landscapes of China
Authors: Song Bowen , Yang Long , Pan Yunfei , Feng Hongzu , Lu Yanhui 
Published: February 2024

AbstractBACKGROUNDAgricultural land‐use change is an important driver of pest population dynamics, and can alter source–sink dynamics and the concentration‐dilution effects of the landscape. Understanding the effects of land use on pests at both landscape and regional levels is essential for the development of sustainable pest management strategies given the large changes occurring in cropping systems in China. At the landscape level, we investigated the impacts of landscape composition and edge density on pheromone trap catch of codling moth (Cydia pomonella) in apple orchards, in Aksu, Xinjiang, China. At the regional scale, we conducted a meta‐analysis using data from studies performed across the Aksu area in recent decades, to assess the relationship between trends in codling moth abundance and the area of apple cultivation.RESULTSBoth extensive planting of apple and large areas of annual crops in the landscape increased the abundance of codling moth, whereas the presence of secondary host plants (peach, pear, walnut, plum, and apricot) had a negative effect. Seminatural habitats and landscape edge density did not significantly affect codling moth abundance. The responses of different generations of codling moth to landscape factors were varied. At the regional level, codling moth occurrence was positively correlated with the expansion of apple production areas.CONCLUSIONExpansion of apple cultivation increases the abundance of codling moth in agricultural landscapes. We recommend decreasing the area devoted to monocultures of apple when designing agricultural landscapes and increasing plantings of secondary host crops to dilute and reduce the abundance of codling moth. © 2024 Society of Chemical Industry.
The role of interspecific variability and herbicide pre‐adaptation in the cinmethylin response of Alopecurus myosuroides
Authors: Comont David , Crook Laura , Hull Richard , Sievernich Bernd , Kevis Stuart , Neve Paul 
Published: February 2024

AbstractBACKGROUNDCinmethylin is an inhibitor of plant fatty acid biosynthesis, with in‐plant activity caused by its binding to fatty acid thioesterases (FATs). The recent registration of cinmethylin for pre‐emergence herbicidal use in the UK represents a new mode‐of‐action (MOA) for control of the grassweed blackgrass (Alopecurus myosuroides). To date there is little published information on the extent of blackgrass' inter‐population variability in sensitivity to cinmethylin, nor on any potential effect of existing non‐target‐site resistance (NTSR) mechanisms on cinmethylin efficacy.RESULTSHere we present a study of variability in cinmethylin sensitivity amongst 97 UK blackgrass populations. We demonstrate that under controlled conditions, a UK field‐rate dose of 500 g ha−1 provides effective control of the tested populations. Nevertheless, we reveal significant inter‐population variability at doses below this rate, with populations previously characterised as strongly NTSR displaying the lowest sensitivity to cinmethylin. Assessment of paired resistant ‘R’ and sensitive ‘S’ lines from standardised genetic backgrounds confirms that selection for NTSR to the acetyl‐CoA‐carboxylase inhibitor fenoxaprop, and the microtubule assembly inhibitor pendimethalin, simultaneously results in reduced sensitivity to cinmethylin at doses below 500 g ha−1. Whilst we find no resistance to the field‐rate dose, we reveal that cinmethylin sensitivity can be further reduced through experimental selection with cinmethylin.CONCLUSIONCinmethylin therefore represents a much‐needed further MOA for blackgrass control, but needs to be carefully managed within a resistance monitoring and integrated weed management (IWM) framework to maximise the effective longevity of this compound. © 2024 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Application of multistate modeling to clinical data analysis
Authors: Grevel Joachim , Veasy Joshua , Chacko Blesson 
Published: February 2024

AbstractMultistate models have been used for decades to analyze the economics of expensive and long‐lasting treatments. More recently they also served to address questions in clinical drug development. It seems timely to introduce the broader pharmacometrics community to the technical aspects and the problem‐solving capabilities of these models. A minimal model is introduced that can answer questions of interest to drug developers, regulatory agencies, and patients (with their carers and payers). A clinical study is simulated where 1000 patients are randomly allocated (1:1) to placebo and active treatment. After a recruitment phase, deaths are counted, and an administrative data cutoff occurs 858 days after the first patient is randomized. The minimal model has one initial state, two transient states, and two absorbing states. Fully parameterized semi‐Markov processes govern the unidirectional transitions between states. Simulations explore the influence of parameter uncertainty and sample size on the validity of statistical inferences. The questions of interest to stakeholders are addressed predominantly with graphic displays. All programming codes are made available. Both drug developers and regulators are invited to re‐evaluate the methods currently in use to assess the benefits and risks of new treatments.
Simulation‐based evaluation of personalized dosing approaches for anti‐FGFR/KLB bispecific antibody fazpilodemab
Authors: Yoshida Kenta , Poon Victor , Dash Ajit , Kunder Rebecca , Chinn Leslie , Kågedal Matts 
Published: February 2024

AbstractPersonalized dosing approaches play important roles in clinical practices to improve benefit: risk profiles. Whereas this is also important for drug development, especially in the context of drugs with narrow therapeutic windows, such approaches have not been fully evaluated during clinical development. Fazpilodemab (BFKB8488A) is an agonistic bispecific antibody which was being developed for the treatment of nonalcoholic steatohepatitis. The objective of this study was to characterize the exposure‐response relationships of fazpilodemab with the purpose of guiding dose selection for a phase II study, as well as to evaluate various personalized dosing strategies to optimize the treatment benefit. Fazpilodemab exhibited clear exposure‐response relationships for a pharmacodynamic (PD) biomarker and gastrointestinal adverse events (GIAEs), such as nausea and vomiting. Static exposure‐response analysis, as well as longitudinal adverse event (AE) analysis using discrete‐time Markov model, were performed to characterize the observations. Clinical trial simulations were performed based on the developed exposure‐response models to evaluate probability of achieving target PD response and the frequency of GIAEs to inform phase II dose selection. Dynamic simulation of personalized dosing strategies demonstrated that the AE‐based personalized dosing is the most effective approach for optimizing the benefit–risk profiles. The approach presented here can be a useful framework for quantifying the benefit of personalized dosing for drugs with narrow therapeutic windows.
Closing the gap from nominal to robust asymptotic stabilization of time delay systems
Authors: Gomez Marco A. , Cruz‐Ancona Christopher D. 
Published: February 2024

SummaryThe control problem of a general class of perturbed linear invariant time‐delay systems within the Sliding Mode Control framework is addressed. We introduce a novel class of sliding manifolds with a structure not previously reported in the literature, which constructively emerges from complete type functionals of the corresponding nominal time‐delay systems and depends on the whole state of the system. A fundamental conclusion derived from this proposal is that every time‐delay system with matched perturbations, whose associated nominal system is exponentially stabilizable, is robustly asymptotically stabilizable. In fact, the introduced sliding manifold enables to construct discontinuous and continuous sliding mode control‐based algorithms that mitigate different classes of perturbations.
Emerging Doped Metal–Organic Frameworks: Recent Progress in Synthesis, Applications, and First‐Principles Calculations
Authors: Bai Jie , Wu Mengcheng , He Qingqing , Wang Huayu , Liao Yanxin , Chen Lingyun , Chen Shaowei 
Published: February 2024

AbstractMetal–organic frameworks (MOFs) are crystalline porous materials with a long‐range ordered structure and excellent specific surface area and have found a wide range of applications in diverse fields, such as catalysis, energy storage, sensing, and biomedicine. However, their poor electrical conductivity and chemical stability, low capacity, and weak adhesion to substrates have greatly limited their performance. Doping has emerged as a unique strategy to mitigate the issues. In this review, the concept, classification, and characterization methods of doped MOFs are first introduced, and recent progress in the synthesis and applications of doped MOFs, as well as the rapid advancements and applications of first‐principles calculations based on the density functional theory (DFT) in unraveling the mechanistic origin of the enhanced performance are summarized. Finally, a perspective is included to highlight the key challenges in doping MOF materials and an outlook is provided on future research directions.
Switchable Power Generation in Triboelectric Nanogenerator Toward Chip‐Less Wearable Power Module Applications
Authors: Zhou Jiaming , Ma Xiaoting , Gao Jingyi , Kim Eunjong , Deng Zihao , Rao Qing , Li Wen‐Di , Ki Dong‐Keun , Shin Dong‐Myeong 
Published: February 2024

AbstractA conceptual shift toward next‐generation wearable electronics is driving research into self‐powered electronics technologies that can be independently operated without plugging into the grid for external power feeding. Triboelectric nanogenerators (TENGs) are emerging as a key component of self‐powered electronics, but a power type mismatch between supply and demand limits their direct implementation into wearable self‐powered electronics. Here, a TENG with switchable power mode capability is reported where the charge flow direction is modulated over the course of slow and random mechanical stimuli, with exceptional rectification capabilities as high as ≈133, stable outputs over the cycles, and design flexibility in different platforms. Importantly, the remarkable switchable power generation with fabric counter materials illuminates a new path for the smooth integration of flexible TENGs into wearable self‐powered electronics.
Halide Anions Tuning of Lead‐Free Perovskite‐Type Ferroelectric Semiconductors with Inverse High‐Temperature Symmetry Breaking
Authors: Jiao Shulin , Sun Xiaofan , Zhao Min , Chen Peng , Tang Zheng , Li Dong , Zhou Zilong , Li Tingfeng , Zhang Wentao , Lu Yanzhou , Wu Yizhang , Ye Kongmeng , Xu Libo , You Qi , Cai Hong‐Ling , Wu Xiaoshan 
Published: February 2024

AbstractThere is a noticeable gap in the literature regarding research on halogen‐substitution‐regulated ferroelectric semiconductors featuring multiple phase transitions. Here, a new category of 1D perovskite ferroelectrics (DFP)2SbX5 (DFP+ = 3,3‐difluoropyrrolidium, X− = I−, Br−, abbreviated as I‐1 and Br‐2) with twophase transitions (PTs) is reported. The first low‐temperature PT is a mmmFmm2 ferroelectric PT, while the high‐temperature PT is a counterintuitive inverse temperature symmetry‐breaking PT. By the substitution of iodine with bromine, the Curie temperature (Tc) significantly increases from 348 K of I‐1 to 374 K of Br‐2. Their ferroelectricity and pyroelectricity are improved (Ps value from 1.3 to 4.0 µC cm−2, pe value from 0.2 to 0.48 µC cm−2 K−1 for I‐1 and Br‐2), while their optical bandgaps increased from 2.1 to 2.7 eV. A critical slowing down phenomenon is observed in the dielectric measurement of I‐1 while Br‐2 exhibits the ferroelastic domain. Structural and computational analyses elucidate that the order‐disorder movement of cations and the distortion of the chain perovskite [SbX5]2− anions skeleton lead to PT. The semiconductor properties are determined by [SbX5]2− anions. The findings contribute to the development of ferroelectric semiconductors and materials with multiple PTs and provide materials for potential applications in the optoelectronic field.
A Self‐Sensing and Self‐Powered Wearable System Based on Multi‐Source Human Motion Energy Harvesting
Authors: Hao Daning , Gong Yuchen , Wu Jiaoyi , Shen Qianhui , Zhang Zutao , Zhi Jinyi , Zou Rui , Kong Weihua , Kong Lingji 
Published: February 2024

AbstractWearable devices play an indispensable role in modern life, and the human body contains multiple wasted energies available for wearable devices. This study proposes a self‐sensing and self‐powered wearable system (SS‐WS) based on scavenging waist motion energy and knee negative energy. The proposed SS‐WS consists of a three‐degree‐of‐freedom triboelectric nanogenerator (TDF‐TENG) and a negative energy harvester (NEH). The TDF‐TENG is driven by waist motion energy and the generated triboelectric signals are processed by deep learning for recognizing the human motion. The triboelectric signals generated by TDF‐TENG can accurately recognize the motion state after processing based on Gate Recurrent Unit deep learning model. With double frequency up‐conversion, the NEH recovers knee negative energy generation for powering wearable devices. A model wearing the single energy harvester can generate the power of 27.01 mW when the movement speed is 8 km h−1, and the power density of NEH reaches 0.3 W kg−1 at an external excitation condition of 3 Hz. Experiments and analysis prove that the proposed SS‐WS can realize self‐sensing and effectively power wearable devices.
Limits of Non‐invasive Enzymatic Activation by Local Temperature Control
Authors: Vyas Anisha , Petrášek Zdeněk , Nidetzky Bernd 
Published: February 2024

AbstractEnzymatic activity depends on and can therefore be regulated by temperature. Selective modulation of the activity of different enzymes in one reaction pot would require temperature control local to each type of enzyme. It has been suggested previously that immobilization of enzyme on magnetic nanoparticles and exposing them to alternating magnetic field can enhance the reaction rate. This enhancement has been explained as being mediated by temperature increase caused by dissipation of the absorbed field energy in the form of heat. However, the possibility of spatially limiting this temperature increase on the microscale has been questioned. Here, it is investigated whether an activity enhancement of the enzyme sucrose phosphorylase immobilized on magnetic beads can be achieved, how this effect is related to the increase in temperature, and whether temperature differences within one reaction pot could be generated in this way. It is found that alternating magnetic field stimulation leads to increased enzymatic activity fully attributable to the increase of bulk temperature. Both theoretical analysis and experimental data indicate that no local heating near the particle surface takes place. It is further concluded that relevant increase of surface temperature can be obtained only with macroscopic, millimeter‐sized, magnetic particles.
Facile Preparation of Polysarcosine‐Tethered Inorganic Nanospheres by Using Unimolecular Polypept(o)ides as Template
Authors: Yao Xikuang , Hao Linhui , Wang Ting , Xiong Fei , Shen Qian , Huang Wei 
Published: February 2024

AbstractPolymer‐inorganic nanocomposites that integrate the advantages of both polymers and inorganic nanoparticles (NPs) are broadly exploited for versatile applications. Especially, emerging polymer‐templated preparation of inorganic NPs has drawn extensive attention, which is ascribed to simplified synthesis and feasible tunability. However, how to precisely fabricate biocompatible polymer‐inorganic NPs remains unsolved. In this article, by mild ring opening polymerization (ROP) of β‐benzyl L‐aspartate N‐carboxyanhydrides (BLA‐NCAs) and sarcosine N‐carboxyanhydrides (Sar‐NCAs) and subsequent debenzylation, a series of poly(amino acid)‐based unimolecular micelles (PAMAM‐g‐(PLA‐b‐PSar)) are facilely synthesized. Afterward, by utilization of these star‐like polymers as template, the controllable preparation of various PSar‐tethered inorganic NPs is investigated and characterized meticulously. This general strategy for the preparation of PSar‐tethered inorganic NPs can bring a great chance for future fabrication of biomedical nanoplatforms.
Safe Induction of Acute Inflammation with Enhanced Antitumor Immunity by Hydrogel‐Mediated Outer Membrane Vesicle Delivery
Authors: Xu Wenjie , Hao Xinyan , Li Yongjiang , Tang Yucheng , Qiu Xiaohan , Zhou Min , Liu Jihua , Huang Si , Liao Dehua , Hu Xiongbin , Tang Tiantian , Wu Junyong , Xiang Daxiong 
Published: February 2024

AbstractAcute inflammation has the potential for the recruitment of immune cells, inhibiting tumor angiogenesis, metastasis, and drug resistance thereby overcoming the tumor immunosuppressive microenvironment caused by chronic inflammation. Here, an acute inflammation inducer using bacteria outer membrane vesicles (OMVs) loaded in thermal‐sensitive hydrogel (named OMVs‐gel) for localized and controlled release of OMVs in tumor sites is proposed. OMVs trigger neutrophil recruitment and amplify acute inflammation inside tumor tissues. The hydrogel ensures drastic inflammation is confined within the tumor, addressing biosafety concerns that the direct administration of free OMVs may cause fatal effects. This strategy eradicated solid tumors safely and rapidly. The study further elucidates one of the possible immune mechanisms of OMVs‐gel therapy, which involves the assembly of antitumor neutrophils and elastase release for selective tumor killing. Additionally, tumor vascular destruction induced by OMVs‐gel results in tumor darkening, allowing for combinational photothermal therapy. The findings suggest that the use of OMVs‐gel can safely induce acute inflammation and enhance antitumor immunity, representing a promising strategy to promote acute inflammation application in tumor immunotherapy.
Transfer Learning Using Musical Instrument Audio for Improving Automatic Singing Label Calibration
Authors: Fu Xiao , Rui Xijian , Deng Hangyu , Hu Jinglu 
Published: February 2024

AbstractAutomatic Singing Label Calibration (ASLC) aims to enhance the labeling accuracy of coarse singing labels through the analysis of raw audio. However, the ASLC model faces limitations due to the challenges and costs associated with generating or augmenting real‐world songs. To address this problem, we propose a novel approach to strengthen limited singing audio using easily available musical instrument audio. Directly using the musical instrument audio as a data augmentation for the singing audio is unreliable due to the distinct differences between vocal and instrumental sounds. Therefore, we employ transfer learning, which allows relevant knowledge to be transferred from one domain to another. In the pre‐training stage, the ASLC model learns to predict the accurate labels from the musical instrument audio. We then consider the vocal as a special musical instrument and fine‐tune the pretrained ASLC model using a singing annotation data set. Experimental results demonstrate that our transfer learning‐based approach outperforms the original ASLC model. By leveraging the readily available musical instrument audio, our method achieves improved performance in enhancing the labeling accuracy of singing audio. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.
Evaluation of racial and ethnic heterogeneity in the associations of sleep quality and sleep apnea risk with cognitive function and cognitive decline
Authors: Chen Ruijia , Wang Jingxuan , Pederson Annie M. , Prather Aric A. , Hirst Andrew K. , Ackley Sarah , Hokett Emily , George Kristen M. , Mungas Dan , Mayeda Elizabeth Rose , Gilsanz Paola , Haneuse Sebastien , Whitmer Rachel A. , Glymour M. Maria 
Published: February 2024

AbstractINTRODUCTIONThe prevalence of poor sleep quality and sleep apnea differs by race and ethnicity and may contribute to racial disparities in cognitive aging. We investigated whether sleep quality and sleep apnea risk were associated with cognitive function and decline and whether the associations differed by race/ethnicity.METHODSParticipants from the Kaiser Healthy Aging and Diverse Life Experiences (KHANDLE; N = 1690; mean age: 75.7 years) study, a cohort of Asian, Black, Latino, and White participants, completed a modified Pittsburgh Sleep Quality Index assessing subjective sleep quality, latency, duration, disturbances, sleep medication use, and daytime dysfunction. Sleep apnea risk was measured by questions about snoring, tiredness, and whether apnea was observed. Executive function and verbal episodic memory were assessed at three time points over an average of 2.7 years with the Spanish and English Neuropsychological Assessment Scale. We fit linear mixed‐effect models and stratified analyses by race/ethnicity.RESULTSHigher sleep apnea risk was associated with faster declines in verbal episodic memory (sleep apnea = −0.02, 95% confidence interval [CI], −0.04, −0.001) but not in executive function. Poorer sleep quality was associated with lower levels of and faster decline in executive function but not in verbal episodic memory. Race/ethnicity modified these associations: compared to estimated effects among White participants, poorer global sleep quality (sleep*time = −0.02, 95% CI, −0.02, −0.01) was associated with larger effects on decline in executive function among Black participants. Estimated effects of some individual sleep quality components were also modified by race/ethnicity; for example, sleep medication use was associated with faster declines in executive function (sleep*time = −0.05, 95% CI, −0.07, −0.03) and verbal episodic memory sleep*time = −0.04, 95% CI, −0.07, −0.02) among Black participants compared to White participants.DISCUSSIONObservational evidence indicates sleep quality is a promising target for addressing racial/ethnic disparities in cognitive aging, especially among Black older adults.Highlights
Sleep apnea risk was associated with faster declines in verbal episodic memory but not executive function among all participants.
Global sleep quality was associated with lower levels of and faster decline in executive function but not verbal episodic memory among all participants.
Black older adults were particularly susceptible to the estimated adverse cognitive impacts of global sleep quality, particularly the use of sleep medication.
Effective treatment of a severe neck wound in a greylag goose (Anser anser) using autologous thrombocyte‐rich plasma and xenogeneic fibrin mesh
Authors: Izeta Miño Erika Eleonora , Fenoy Ignacio Martin , Maruri Alejandro 
Published: February 2024

AbstractThis report details the successful treatment of a severe neck wound in a feral greylag goose (Anser anser) using autologous thrombocyte‐rich plasma and xenogeneic fibrin mesh from a domestic dog. The goose's thrombocyte‐rich plasma was obtained after collecting 5 mL of blood, mixing it with an acid‐citrate‐dextrose solution, and centrifuging at 200 × g for 10 minutes. The lower third of the plasma, along with the buffy coat, was collected. For xenogeneic fibrin mesh, canine blood was centrifugated at 553 × g for 10 minutes, and the clot was extracted and pressed between culture dishes for 10 minutes to create a mesh and harvest serum. After treatment with thrombocyte‐rich plasma and the fibrin mesh, there was a notable improvement within 1 week, leading to complete healing after 2 weeks. This outcome exemplifies the promising potential of thrombocyte‐rich plasma and xenogeneic fibrin meshes in treating wounds in avian species.