bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adaptive cooperation control of wind power generation systems based on Hamilton system under limited input
Authors: Wu Zhongqiang , Hou Lincheng 
Published: July 2023

SummaryNumerous wind turbines form large‐scale wind farms, which are complex nonlinear systems with uncertain parameters. The issue of maximum wind energy capture and coordinated control has always been a research hotspot. In this article, under the condition of limited input and uncertain parameters, the preset controller and the adaptive cooperation control are designed to realize the maximum wind energy capture for every wind turbine and the adaptive cooperation control of multiple wind turbines. The research gap lies in that the Hamilton model of wind power generation system is established with uncertain parameters, and the preset controller (method) is designed to capture the maximum wind energy. Under the hypothesis that the uncertain part can be expressed as a linear form about unknown parameter, and using the saturation function processing method in the diagonal matrix, an adaptive feedback controller with limited input is designed to realize the adaptive cooperation control of multiple wind turbines. The simulation results show that under the conditions such as variable wind speed, limited input and uncertain parameters, the wind turbine remain normal operation at the desired angular velocity. It can be concluded that not only the maximum wind energy capture is realized under the condition of variable wind speed, in which the wind turbine can operate on the optimal power curve to improve the utilization of wind energy, but also the adaptive cooperation control of multiple wind turbines can be achieved with limited input and parameter perturbation.
Impact of Interface Energetic Alignment and Mobile Ions on Charge Carrier Accumulation and Extraction in p‐i‐n Perovskite Solar Cells
Authors: Xu Weidong , Hart Lucy J. F. , Moss Benjamin , Caprioglio Pietro , Macdonald Thomas J. , Furlan Francesco , Panidi Julianna , Oliver Robert D. J. , Pacalaj Richard A. , Heeney Martin , Gasparini Nicola , Snaith Henry J. , Barnes Piers R. F. , Durrant James R. 
Published: August 2023

AbstractUnderstanding the kinetic competition between charge extraction and recombination, and how this is impacted by mobile ions, remains a key challenge in perovskite solar cells (PSCs). Here, this issue is addressed by combining operando photoluminescence (PL) measurements, which allow the measurement of real‐time PL spectra during current–voltage (J–V) scans under 1‐sun equivalent illumination, with the results of drift‐diffusion simulations. This operando PL analysis allows direct comparison between the internal performance (recombination currents and quasi‐Fermi‐level‐splitting (QFLS)) and the external performance (J–V) of a PSC during operation. Analyses of four PSCs with different electron transport materials (ETMs) quantify how a deeper ETM LUMO induces greater interfacial recombination, while a shallower LUMO impedes charge extraction. Furthermore, it is found that a low ETM mobility leads to charge accumulation in the perovskite under short‐circuit conditions. However, thisalone cannot explain the remarkably high short‐circuit QFLS of over 1 eV which is observed in all devices. Instead, drift‐diffusion simulations allow this effect to be assigned to the presence of mobile ions which screen the internal electric field at short‐circuit and lead to a reduction in the short‐circuit current density by over 2 mA cm−2 in the best device.
D‐type neuropeptide decorated AIEgen/RENP hybrid nanoprobes with light‐driven ROS generation ability for NIR‐II fluorescence imaging‐guided through‐skull photodynamic therapy of gliomas
Authors: He Xuelu , Luo Yuan , Li Yanying , Pan Yuanbo , Kwok Ryan T. K. , He Lulu , Duan Xiaolin , Zhang Pengfei , Wu Aiguo , Tang Ben Zhong , Li Juan 
Published: August 2023

AbstractGlioma is one of the most common malignant tumors of the central nervous system, leading high mortality rates in human. Aggregation‐induced emission (AIE) photosensitizers‐based photodynamic therapy (PDT) has emerged as a promising therapeutic strategy for least‐invasive treatment of glioma, which involves local irradiation of the tumor using an external near‐infrared (NIR) laser. Unfortunately, most AIE photosensitizers suffered from poorly penetration of the visible light excitation, bad spatiotemporal resolution in deep tissues and low efficient blood‐brain barrier (BBB) crossing ability, which greatly limited the clinical practice of AIE photosensitizers for especially deep‐seated brain tumor treatment. In this work, we developed a multifunctional NIR‐driven theranostic agent through hybrid of AIE photosensitizers TIND with rare‐earth doping nanoparticles (RENPs) NaGdF4:Nd/Yb/Tm with up/down dual‐mode conversion luminescence. The theranostic agent was further decorated with D‐type neuropeptide DNPY for crossing BBB and targeting glioma. Under the 808‐nm light irradiation, the down‐conversion NIR‐II luminescence could indicate the position glioma and the upconversion NIR‐I luminescence could trigger the AIE photosensitizers producing reactive oxygen species to inhibit orthotopic glioma tumor growth in situ. These results demonstrate that the integration of D‐type neuropeptide, AIE photosensitizers and RENPs could be promising candidates for in vivo NIR‐II fluorescence image‐guided through‐skull PDT treatments of brain tumors.
The global development of community psychology as reflected in the American Journal of Community Psychology
Authors: Perkins Douglas D. , Sonn Christopher C. , Lenzi Michela , Xu Qingwen , Carolissen Ronelle , Portillo Nelson , Serrano‐García Irma 
Published: August 2023

AbstractThis commentary presents a virtual special issue on the global growth of community psychology (CP), particularly, but not exclusively, as reflected in the American Journal of Community Psychology (AJCP). CP exists in at least 50 countries all over the world, in many of those for over 25 years. Yet, aside from several early Israeli articles, AJCP rarely published work from or about countries outside the US and Canada until the early 2000s, when the number of international articles began to rise sharply. The focus of CP developed differently in different continents. CP in Australia and New Zealand initially followed North America's emphasis on improving social service systems, but has since focused more on environmental and indigenous cultural and decolonial issues that are as salient in those countries as in North America, but have drawn much more attention. CP came later to most of Asia, where it also tended to follow the North American path, but starting in Japan, India, and Hong Kong and now in China and elsewhere, it is establishing its own way. The other two global hotspots for CP for over 40 years have been Europe and Latin America. The level and focus of CP in Europe varies in each country, with some focused on applied developmental psychology and/or community services and others advancing critical and liberation psychology. CP in Latin America evolved from social psychology, but like CP in Sub‐Saharan Africa, is also more explicitly political due to a history of political oppression, social activism, and the limitations of individualistic psychology to focus on social change, overcoming poverty, and interventions by (not just for) community members. Despite those differences, CP literature over the past 23 years suggests an increasingly common interest in social justice, multinational collaborations, and decoloniality. There is still a need for more truly (bidirectional) cross‐cultural, comparative work for mutual learning, sharing of ideas, methods, and intervention practices, and for CP to develop in countries and communities throughout the globe where it could have the greatest impact.
Blood and saliva‐derived ctDNA is a marker of residual disease after treatment and correlates with recurrence in human papillomavirus‐associated head and neck cancer
Authors: Ferrier Sarah Tadhg , Tsering Thupten , Sadeghi Nader , Zeitouni Anthony , Burnier Julia V. 
Published: August 2023

AbstractBackgroundThere is an alarming increase in human papillomavirus‐associated head and neck cancer (HNC), reaching epidemic levels. While patient prognosis is generally good, off‐target treatment effects are associated with decreased quality of life. Thus, non‐invasive strategies to predict treatment response and risk of recurrence could help de‐escalate treatment. In this study, we tested circulating tumor (ct)DNA in liquid biopsies (blood/saliva) of HPV‐positive HNC patients to assess treatment response and disease progression.MethodsA total of 235 blood and saliva samples were collected from 60 HPV‐positive and 17 HPV‐negative HNC patients (control group) before and/or after treatment. Samples were analyzed using ddPCR for HPV16/18/31/33/35/45 and correlated with imaging and pathological examination.ResultsHPV‐ctDNA detection was significantly higher prior to treatment (91%) than after treatment (8.0%) (χ2 p < 0.00001), with high concordance between saliva and blood (93%). In matched samples, all patients positive for ctDNA before treatment showed significant reductions in ctDNA levels post treatment (p < 0.0001). All but one patient with persistent ctDNA after treatment showed residual tumor and subsequent recurrence. Finally, fragmentomic analysis revealed shifts in cell‐free DNA fragment size after treatment, suggesting a complementary biomarker for treatment response.ConclusionsBlood and saliva were found to be good sources of HPV‐ctDNA. The presence of ctDNA strongly correlated with treatment response, demonstrating clinical utility as a non‐invasive biomarker to monitor tumor progression in HPV‐positive HNC. Liquid biopsy based ctDNA testing could be an effective approach to predict recurrence and stratify patients for de‐escalation of treatment, thereby improving quality of life.
Single‐cell third‐generation sequencing‐based multi‐omics uncovers gene expression changes governed by ecDNA and structural variants in cancer cells
Authors: Chang Lei , Deng Enze , Wang Jun , Zhou Wei , Ao Jian , Liu Rong , Su Dan , Fan Xiaoying 
Published: July 2023

AbstractBackgroundCancer cells often exhibit large‐scale genomic variations, such as circular extrachromosomal DNA (ecDNA) and structural variants (SVs), which have been highly correlated with the initiation and progression of cancer. Currently, no adequate method exists to unveil how these variations regulate gene expression in heterogeneous cancer cell populations at a single‐cell resolution.MethodsHere, we developed a single‐cell multi‐omics sequencing method, scGTP‐seq, to analyse ecDNA and SVs using long‐read sequencing technologies.Results and ConclusionsWe demonstrated that our method can efficiently detect ecDNA and SVs and illustrated how these variations affect transcriptomic changes in various cell lines. Finally, we applied and validated this method in a clinical sample of hepatocellular carcinoma (HCC), demonstrating a feasible way to monitor the evolution of ecDNA and SVs during cancer progression.
An automated pipeline for obtaining labeled ICA‐templates corresponding to functional brain systems
Authors: Tahedl Marlene , Schwarzbach Jens V. 
Published: July 2023

AbstractThe complexity of our actions and thinking is likely reflected in functional brain networks. Independent component analysis (ICA) is a popular data‐driven method to compute group differences between such networks. A common way to investigate network differences is based on ICA maps which are generated from study‐specific samples. However, this approach limits the generalizability and reproducibility of the results. Alternatively, network ICA templates can be used, but up to date, few such templates exist and are limited in terms of the functional systems they cover. Here, we propose a simple two‐step procedure to obtain ICA‐templates corresponding to functional brain systems of the researcher's choice: In step 1, the functional system of interest needs to be defined by means of a statistical parameter map (input), which one can generate with open‐source software such as NeuroSynth or BrainMap. In step 2, that map is correlated to group‐ICA maps provided by the Human Connectome Project (HCP), which is based on a large sample size and uses high quality and standardized acquisition procedures. The HCP‐provided ICA‐map with the highest correlation to the input map is then used as an ICA template representing the functional system of interest, for example, for subsequent analyses such as dual regression. We provide a toolbox to complete step 2 of the suggested procedure and demonstrate the usage of our pipeline by producing an ICA templates that corresponds to “motor function” and nine additional brain functional systems resulting in an ICA maps with excellent alignment with the gray matter/white matter boundaries of the brain. Our toolbox generates data in two different file formats: volumetric‐based (NIFTI) and combined surface/volumetric files (CIFTI). Compared to 10 existing templates, our procedure output component maps with systematically stronger contribution of gray matter to the ICA z‐values compared to white matter voxels in 9/10 cases by at least a factor of 2. The toolbox allows users to investigate functional networks of interest, which will enhance interpretability, reproducibility, and standardization of research investigating functional brain networks.
Soil‐water response in a volcanic ash hillslope affected by fissures and microtopographic changes caused by the Kumamoto earthquake, in Japan
Authors: Arata Yohei , Gomi Takashi , Sidle Roy C. , Saito Hirotaka , Wang Gonghui 
Published: August 2023

AbstractWe examined soil‐water response in a hillslope with multi‐layered volcanic soils affected by fissures formed by intense shaking during the 2016 Kumamoto earthquake in Japan. Pressure head and volumetric water content responses in a 6 × 20 m hillslope ridgeline plot were monitored by tensiometers and capacitance‐based soil moisture sensors, respectively. The plot contained seven seismic fissures (0.3–0.8 m deep and 0.4–2.2 m wide) formed parallel to the ridgeline that exposed underlying soil layers, while areas with topsoil occurred between the fissures. Among the alternating layers, the andisol (ca. 1.0 m deep) consistently experienced high pressure heads (>−150 cm H2O) and volumetric water contents (>0.58 cm3 cm−3), indicating high water‐holding capacity. This andisol was a key layer for storing soil water and causing slow drainage into the deeper matrix, resulting in abrupt increases in volumetric water content during storms. Rainwater directly reaching the bottom of fissures without percolating through the topsoil caused rapid soil‐water response compared to the soil layer where water percolated via topsoil. Analysis of in‐situ soil water retention curves, recession rates and water storage changes revealed that the second andisol had unique characteristics for retaining water in the hillslope. The findings of this study show that spatial and temporal variability of soil water responses varied associated with earthquake‐induced fissure formation and soil water characteristics of multi‐layered volcanic soils.
Stable isotopes and remote sensing techniques reveal changes in water surplus and loss in alpine inland river basins
Authors: Wang Zhigang , Cao Shengkui , Cao Guangchao , Hou Yaofang , Wang Youcai , Kang Ligang 
Published: August 2023

AbstractAlthough the hydrological process of the alpine inland river basin has been extensively studied, the changes of water budget in the alpine inland river basin are still less revealed. Here, a new method combining stable isotopes and remote sensing technology is used to reveal the changes of water surplus and loss in the alpine inland river basin, and accurately identify the water storage areas (water production zone) and water evaporation areas (water consuming zone) during the hydrological changes of basin, providing new insights for the optimal management of water resources of basin. The results showed the monthly water volume showed a surplus state from May to September 2018 to 2019 in the Shaliu River basin. However, there was a serious water loss in the basin from July to September 2020. This is due to the low precipitation, strong evaporation, and high runoff during this period. In response to such significant changes of hydrological processes, the results indicated that there was significant spatial heterogeneity in the variation of water surplus and loss. Based on the hydrological change, we found that the eastern part of basin was water‐producing zone and the southern part of basin was water‐consuming zone. In addition, the upper reaches of the basin were mainly dominated by water storage. This indicated that the upper part of basin was an important water‐conserving area. The results can provide data support for the effective management and planning of water resources in alpine inland river basins.
Inclusive critical appraisal of qualitative and quantitative findings in evidence synthesis
Authors: Olaghere Ajima , Wilson David B. , Kimbrell Catherine 
Published: August 2023

AbstractA diversity of approaches for critically appraising qualitative and quantitative evidence exist and emphasize different aspects. These approaches lack clear processes to facilitate rating the overall quality of the evidence for aggregated findings that combine qualitative and quantitative evidence. We draw on a meta‐aggregation of implementation and process evaluations to illustrate a method for critically appraising empirical findings generated from qualitative and quantitative studies. This method includes a rubric for standardizing assessments of the overall quality of evidence in an evidence synthesis or mixed‐method systematic review. The method first assesses the credibility of each finding extracted from a study. These individual assessments then feed into an overall score for any synthesized finding generated from the meta‐aggregation. We argue that this approach provides a balanced and inclusive method of critical appraisal by first assessing individual findings, rather than studies, using flexible criteria applicable to a range of primary study methods to derive an overall assessment of synthesized findings.
Accelerated respiratory‐resolved 4D‐MRI with separable spatio‐temporal neural networks
Authors: Terpstra Maarten L. , Maspero Matteo , Verhoeff Joost J. C. , van den Berg Cornelis A. T. 
Published: August 2023

AbstractBackgroundRespiratory‐resolved four‐dimensional magnetic resonance imaging (4D‐MRI) provides essential motion information for accurate radiation treatments of mobile tumors. However, obtaining high‐quality 4D‐MRI suffers from long acquisition and reconstruction times.PurposeTo develop a deep learning architecture to quickly acquire and reconstruct high‐quality 4D‐MRI, enabling accurate motion quantification for MRI‐guided radiotherapy (MRIgRT).MethodsA small convolutional neural network called MODEST is proposed to reconstruct 4D‐MRI by performing a spatial and temporal decomposition, omitting the need for 4D convolutions to use all the spatio‐temporal information present in 4D‐MRI. This network is trained on undersampled 4D‐MRI after respiratory binning to reconstruct high‐quality 4D‐MRI obtained by compressed sensing reconstruction. The network is trained, validated, and tested on 4D‐MRI of 28 lung cancer patients acquired with a T1‐weighted golden‐angle radial stack‐of‐stars (GA‐SOS) sequence. The 4D‐MRI of 18, 5, and 5 patients were used for training, validation, and testing. Network performances are evaluated on image quality measured by the structural similarity index (SSIM) and motion consistency by comparing the position of the lung‐liver interface on undersampled 4D‐MRI before and after respiratory binning. The network is compared to conventional architectures such as a U‐Net, which has 30 times more trainable parameters.ResultsMODEST can reconstruct high‐quality 4D‐MRI with higher image quality than a U‐Net, despite a thirty‐fold reduction in trainable parameters. High‐quality 4D‐MRI can be obtained using MODEST in approximately 2.5 min, including acquisition, processing, and reconstruction.ConclusionHigh‐quality accelerated 4D‐MRI can be obtained using MODEST, which is particularly interesting for MRIgRT.
3D CEST MRI with an unevenly segmented RF irradiation scheme: A feasibility study in brain tumor imaging
Authors: Kim Hahnsung , Park Suhyung , Hu Ranliang , Hoang Kimberly B. , Sun Phillip Zhe 
Published: August 2023

AbstractPurposeTo integrate 3D CEST EPI with an unevenly segmented RF irradiation module and preliminarily demonstrate it in the clinical setting.MethodsA CEST MRI with unevenly segmented RF saturation was implemented, including a long primary RF saturation to induce the steady‐state CEST effect, maintained with repetitive short secondary RF irradiation between readouts. This configuration reduces relaxation‐induced blur artifacts during acquisition, allowing fast 3D spatial coverage. Numerical simulations were performed to select parameters such as flip angle (FA), short RF saturation duration (Ts2), and the number of readout segments. The sequence was validated experimentally with data from a phantom, healthy volunteers, and a brain tumor patient.ResultsBased on the numerical simulation and l‐carnosine gel phantom experiment, FA, Ts2, and the number of segments were set to 20°, 0.3 s, and the range from 4 to 8, respectively. The proposed method minimized signal modulation in the human brain images in the kz direction during the acquisition and provided the blur artifacts‐free CEST contrast over the whole volume. Additionally, the CEST contrast in the tumor tissue region is higher than in the contralateral normal tissue region.ConclusionsIt is feasible to implement a highly accelerated 3D EPI CEST imaging with unevenly segmented RF irradiation.
Associations of sarcopenic obesity vs either sarcopenia or obesity alone with cognitive impairment risk in patients requiring maintenance hemodialysis
Authors: Zhou Chaomin , Zhan Lin , He PignHong , Yuan Jing , Zha Yan 
Published: August 2023

AbstractBackgroundThe association between sarcopenic obesity (SO) and cognitive impairment (CI) risk in patients requiring maintenance hemodialysis (MHD) is not known. In this study, we investigated the prevalence of SO in MHD patients. Furthermore, we would explore and compare the associations between SO, sarcopenia, and obesity with CI risk in this population.MethodsA multicenter, cross‐sectional study was conducted. Data from 2743 adult MHD patients were recorded. SO was defined as the co‐occurrence of sarcopenia and obesity. Cognitive function was assessed with the Mini‐Mental State Examination (MMSE). Multiple logistic regression models, stratified analyses, and interactive analyses were conducted.Results21.58% of the participants met the criteria for SO. The overall prevalence of CI was 23.3% in our study. Participants in the SO group had the highest CI prevalence (34.6%). The association between SO and CI was weakened but remained statistically significant after adjusting for age, sex, and educational status (odds ratio, 1.47; 95% CI, 1.11–1.96). However, associations between sarcopenia, obesity, and CI disappeared after adjusting for these variables. The additional adjustment did not attenuate the significant association between SO and CI. Subgroup analyses and interactive analyses showed that the associations were similar across subgroups (P > 0.05 for interaction for all).ConclusionsSO and CI are highly prevalent in MHD patients. Participants with SO are at significantly higher risk of CI than those with sarcopenia or obesity alone. Furthermore, this association is consistent across different subgroups.