bluuebunny/crossref_metadata_2025_split huggingface dataset:
Choose Compassion: Why It Matters and How It Works (2022) by James Kirby. University of Queensland Press. ISBN: 9780702265648
Authors: Gilbert Paul 
Published: May 2023

One of Australia’s leading compassion researchers, Dr. James Kirby employs science and real-world cases to argue that compassion is the most important human motivation to harness in today’s world. Citing the benefits of compassion training exercises for life struggles including self-criticism, shame, grief, parenting, depression, and anxiety, Kirby draws on findings from the University of Queensland’s Compassionate Mind Research Group, of which he is co-director. Debunking the myth that compassion is a soft or weak emotion, he examines fears, blocks, and resistances we and our clients may have to compassion, which he defines as the courageous and wise motivation to turn towards suffering and try to alleviate it. Reviewer Prof. Paul Gilbert, who developed compassion focused therapy, applauds how Choose Compassion: Why it matters and how it works (Kirby, 2022) takes on big themes, such as the inevitability of suffering and loss, and makes them understandable and accessible to readers. Despite climate change, mass extinctions, genocide, wars, and the capacity of humans to be callous and contradictory, Kirby’s message is ultimately one of hope.
Neighborhood Deprivation and Association With Neonatal Intensive Care Unit Mortality and Morbidity for Extremely Premature Infants
Authors: Sullivan Brynne A. , Doshi Ayush , Chernyavskiy Pavel , Husain Ameena , Binai Alexandra , Sahni Rakesh , Fairchild Karen D. , Moorman J. Randall , Travers Colm P. , Vesoulis Zachary A. 
Published: May 2023

ImportanceSocioeconomic status affects pregnancy and neurodevelopment, but its association with hospital outcomes among premature infants is unknown. The Area Deprivation Index (ADI) is a validated measure of neighborhood disadvantage that uses US Census Bureau data on income, educational level, employment, and housing quality.ObjectiveTo determine whether ADI is associated with neonatal intensive care unit (NICU) mortality and morbidity in extremely premature infants.Design, Setting, and ParticipantsThis retrospective cohort study was performed at 4 level IV NICUs in the US Northeast, Mid-Atlantic, Midwest, and South regions. Non-Hispanic White and Black infants with gestational age of less than 29 weeks and born between January 1, 2012, and December 31, 2020, were included in the analysis. Addresses were converted to census blocks, identified by Federal Information Processing Series codes, to link residences to national ADI percentiles.ExposuresADI, race, birth weight, sex, and outborn status.Main Outcomes and MeasuresIn the primary outcome, the association between ADI and NICU mortality was analyzed using bayesian logistic regression adjusted for race, birth weight, outborn status, and sex. Risk factors were considered significant if the 95% credible intervals excluded zero. In the secondary outcome, the association between ADI and NICU morbidities, including late-onset sepsis, necrotizing enterocolitis (NEC), and severe intraventricular hemorrhage (IVH), were also analyzed.ResultsA total of 2765 infants with a mean (SD) gestational age of 25.6 (1.7) weeks and mean (SD) birth weight of 805 (241) g were included in the analysis. Of these, 1391 (50.3%) were boys, 1325 (47.9%) reported Black maternal race, 498 (18.0%) died before NICU discharge, 692 (25.0%) developed sepsis or NEC, and 353 (12.8%) had severe IVH. In univariate analysis, higher median ADI was found among Black compared with White infants (77 [IQR, 45-93] vs 57 [IQR, 32-77]; P &amp;lt; .001), those who died before NICU discharge vs survived (71 [IQR, 45-89] vs 64 [IQR, 36-86]), those with late-onset sepsis or NEC vs those without (68 [IQR, 41-88] vs 64 [IQR, 35-86]), and those with severe IVH vs those without (69 [IQR, 44-90] vs 64 [IQR, 36-86]). In a multivariable bayesian logistic regression model, lower birth weight, higher ADI, and male sex were risk factors for mortality (95% credible intervals excluded zero), while Black race and outborn status were not. The ADI was also identified as a risk factor for sepsis or NEC and severe IVH.Conclusions and RelevanceThe findings of this cohort study of extremely preterm infants admitted to 4 NICUs in different US geographic regions suggest that ADI was a risk factor for mortality and morbidity after adjusting for multiple covariates.
Proof‐of‐concept study of artificial intelligence‐assisted review of CBCT image guidance
Authors: Neylon Jack , Luximon Dishane C. , Ritter Timothy , Lamb James M. 
Published: May 2023

AbstractPurposeAutomation and computer assistance can support quality assurance tasks in radiotherapy. Retrospective image review requires significant human resources, and automation of image review remains a noteworthy missing element in previous work. Here, we present initial findings from a proof‐of‐concept clinical implementation of an AI‐assisted review of CBCT registrations used for patient setup.MethodsAn automated pipeline was developed and executed nightly, utilizing python scripts to interact with the clinical database through DICOM networking protocol and automate data retrieval and analysis. A previously developed artificial intelligence (AI) algorithm scored CBCT setup registrations based on misalignment likelihood, using a scale from 0 (most unlikely) through 1 (most likely). Over a 45‐day period, 1357 pre‐treatment CBCT registrations from 197 patients were retrieved and analyzed by the pipeline. Daily summary reports of the previous day's registrations were produced. Initial action levels targeted 10% of cases to highlight for in‐depth physics review. A validation subset of 100 cases was scored by three independent observers to characterize AI‐model performance.ResultsFollowing an ROC analysis, a global threshold for model predictions of 0.87 was determined, with a sensitivity of 100% and specificity of 82%. Inspecting the observer scores for the stratified validation dataset showed a statistically significant correlation between observer scores and model predictions.ConclusionIn this work, we describe the implementation of an automated AI‐analysis pipeline for daily quantitative analysis of CBCT‐guided patient setup registrations. The AI‐model was validated against independent expert observers, and appropriate action levels were determined to minimize false positives without sacrificing sensitivity. Case studies demonstrate the potential benefits of such a pipeline to bolster quality and safety programs in radiotherapy. To the authors’ knowledge, there are no previous works performing AI‐assisted assessment of pre‐treatment CBCT‐based patient alignment.
Bias‐Selectable Si Nanowires/PbS Nanocrystalline Film n–n Heterojunction for NIR/SWIR Dual‐Band Photodetection
Authors: Xu Chen‐hao , Luo Sheng‐Hui , Wang Yang , Shi Xiao‐Feng , Fu Can , Wang Jiang , Wu Chun‐Yan , Luo Lin‐Bao 
Published: May 2023

AbstractIn this study, a solution method derived dual‐band photodetector (PD) based on silicon nanowires /PbS nanocrystalline film n–n heterojunction, which exhibits typical bias‐selectable spectral response in both near‐infrared (NIR) and short‐wave infrared (SWIR) bands, is presented. It is found that by adjusting the polarity of the bias voltage, the photoresponse of the device can be switched between three operation modes. The device exhibits high responsivities of 2100 mA W−1 at −0.15 V and 31 mA W−1 at 0 V, respectively, in the NIR region. Remarkably, the maximum responsivity and detectivity under 2000 nm illumination are determined as 290 mA W−1 and 2.4 × 1010 Jones, comparable to or even better than some PbS commercial PDs. The enhanced performance comes from the improved optical absorption and higher efficiency of charge separation and collection owing to the heterojunction geometry. It's also revealed that the bias‐controllable spectral response is attributed to the selectively transportation of photocarriers across the junction barrier. The study demonstrates the capability of detecting two distinct IR regions with the same pixel, which has great potential in future optoelectronic systems for IR imaging applications.
Adhesive Wearable Sensors for Electroencephalography from Hairy Scalp
Authors: Zhang Anan , Shyam Abhijith Balamuraleekrishna , Cunningham Alexandra McCalla , Williams Christopher , Brissenden Amanda , Bartley Alex , Amsden Brian , Docoslis Aristides , Kontopoulou Marianna , Ameri Shideh Kabiri 
Published: May 2023

AbstractElectroencephalography has garnered interest for applications in mobile healthcare, human–machine interfaces, and Internet of Things. Conventional electroencephalography relies on wet and dry electrodes. Despite favorable interface impedance of wet electrodes and skin, the application of a large amount of gel at their interface with skin limits the electroencephalography spatial resolution, increases the risk of shorting between electrodes, and makes them unsuited for long‐term mobile recording. In contrast, dry electrodes are better suited for long‐term recordings but susceptible to motion artifacts. In addition, both wet and dry electrodes are non‐adhesive to the hairy scalp and mechanical support, or chemical adhesives are used to hold them in place. Herein, a conical microstructure array (CMSA) based sensor made of carbon nanotube‐polydimethylsiloxane composite is reported. The CMSA sensor is fabricated using the innovative, cost‐effective, and scalable method of viscosity‐controlled dip‐pull process. The sensor adheres to the hairy scalp by generating negative pressure in its conical microstructures when it is pressed against scalp. Aided by the application of a trace amount of gel, CMSA sensor establishes good electrical contact with the skin, enabling its applications in mobile electroencephalography over extended periods. Notably, the signal quality of CMSA sensors is comparable to that of medical‐grade wet gel electrodes.
Zwitterionic Inhaler with Synergistic Therapeutics for Reprogramming of M2 Macrophage to Pro‐Inflammatory Phenotype
Authors: Jung Sungwon , Heo Sungeun , Oh Yoogyeong , Park Kyungtae , Park Sohyeon , Choi Woojin , Kim Yang‐Hee , Jung Se Yong , Hong Jinkee 
Published: May 2023

AbstractMyriad lung diseases are life threatening and macrophages play a key role in both physiological and pathological processes. Macrophages have each pro‐/anti‐inflammatory phenotype, and each lung disease can be aggravated by over‐polarized macrophage. Therefore, development of a method capable of mediating the macrophage phenotype is one of the solutions for lung disease treatment. For mediating the phenotype of macrophages, the pulmonary delivery system (PDS) is widely used due to its advantages, such as high efficiency and accessibility of the lungs. However, it has a low drug delivery efficiency ironically because of the perfect lung defense system consisting of the mucus layer and airway macrophages. In this study, zwitterion‐functionalized poly(lactide‐co‐glycolide) (PLGA) inhalable microparticles (ZwPG) are synthesized to increase the efficiency of the PDS. The thin layer of zwitterions formed on PLGA surface has high nebulizing stability and show high anti‐mucus adhesion and evasion of macrophages. As a reprogramming agent for macrophages, ZwPG containing dexamethasone (Dex) and pirfenidone (Pir) are treated to over‐polarized M2 macrophages. As a result, a synergistic effect of Dex/Pir induces reprogramming of M2 macrophage to pro‐inflammatory phenotypes.
High Targeting Specificity toward Pulmonary Inflammation Using Mesenchymal Stem Cell‐Hybrid Nanovehicle for an Efficient Inflammation Intervention
Authors: Su Yuanqin , Huang Ting , Sun Hao , Lin Ruyi , Zheng Xixi , Bian Qiong , Zhang Jinsong , Chen Shihan , Wu Honghui , Xu Donghang , Zhang Tianyuan , Gao Jianqing 
Published: May 2023

AbstractPulmonary inflammation is one of the most reported tissue inflammations in clinic. Successful suppression of inflammation is vital to prevent further inevitably fatal lung degeneration. Glucocorticoid hormone, such as methylprednisolone (MP), is the most applied strategy to control the inflammatory progression yet faces the challenge of systemic side effects caused by the requirement of large‐dosage and frequent administration. Highly efficient delivery of MP specifically targeted to inflammatory lung sites may overcome this challenge. Therefore, the present study develops an inflammation‐targeted biomimetic nanovehicle, which hybridizes the cell membrane of mesenchymal stem cell with liposome, named as MSCsome. This hybrid nanovehicle shows the ability of high targeting specificity toward inflamed lung cells, due to both the good lung endothelium penetration and the high uptake by inflamed lung cells. Consequently, a single‐dose administration of this MP‐loaded hybrid nanovehicle achieves a prominent treatment of lipopolysaccharide‐induced lung inflammation, and negligible treatment‐induced side effects are observed. The present study provides a powerful inflammation‐targeted nanovehicle using biomimetic strategy to solve the current challenges of targeted inflammation intervention.
Coordination‐Driven Self‐Assembly of Biomedicine to Enhance Photodynamic Therapy by Inhibiting Proteasome and Bcl‐2
Authors: Wang Rui‐Xin , Zheng Rong‐Rong , Cai Hua , Yang Ni , Chen Zu‐Xiao , Zhao Lin‐Ping , Huang Yue‐Kang , Li Peng‐Fei , Cheng Hong , Chen A‐Li , Li Shi‐Ying , Xu Lin 
Published: May 2023

AbstractTumor cells resist oxidative damage and apoptosis by activating defense mechanisms. Herein, a self‐delivery biomedicine (designated as BSC) is developed by the self‐assembly of Bortezomib (BTZ), Sabutoclax (Sab) and Chlorin e6 (Ce6). Interestingly, BTZ can be coordinated with Sab to promote the assembly of uniform ternary biomedicine through non‐covalent intermolecular interactions. Moreover, BTZ as a proteasome inhibitor can prevent tumor cells from scavenging damaged proteins to reduce their oxidative resistance. Sab can downregulate B‐cell lymphoma 2 (Bcl‐2) to decrease the antiapoptotic protein. Both the proteasome and Bcl‐2 inhibitions contribute to increasing cell apoptosis and amplifying photodynamic therapy (PDT) efficacy of Ce6. Encouragingly, carrier‐free BSC receives all biological activities of these assembly elements, including photodynamic performance as well as inhibitory capabilities of proteasome and Bcl‐2. Besides, BSC has a preferable cellular uptake ability and tumor retention property, which increase the drug delivery efficiency and bioavailability. In vitro and in vivo research demonstrate the superior PDT efficiency of BSC by proteasome and Bcl‐2 inhibitions. Of special note, the coordination‐driven self‐assembly of BSC is pH‐responsive, which can be disassembled for controlled drug release upon tumor acidic microenvironment. This study will expand the applicability of self‐delivery nanomedicine with sophisticated mechanisms for tumor treatment.
Microporogen‐Structured Collagen Matrices for Embedded Bioprinting of Tumor Models for Immuno‐Oncology
Authors: Reynolds Daniel S. , de Lázaro Irene , Blache Manon L. , Liu Yutong , Jeffreys Nicholas C. , Doolittle Ramsey M. , Grandidier Estée , Olszewski Jason , Dacus Mason T. , Mooney David J. , Lewis Jennifer A. 
Published: May 2023

AbstractEmbedded bioprinting enables the rapid design and fabrication of complex tissues that recapitulate in vivo microenvironments. However, few biological matrices enable good print fidelity, while simultaneously facilitate cell viability, proliferation, and migration. Here, a new microporogen‐structured (µPOROS) matrix for embedded bioprinting is introduced, in which matrix rheology, printing behavior, and porosity are tailored by adding sacrificial microparticles composed of a gelatin–chitosan complex to a prepolymer collagen solution. To demonstrate its utility, a 3D tumor model is created via embedded printing of a murine melanoma cell ink within the µPOROS collagen matrix at 4 °C. The collagen matrix is subsequently crosslinked around the microparticles upon warming to 21 °C, followed by their melting and removal at 37 °C. This process results in a µPOROS matrix with a fibrillar collagen type‐I network akin to that observed in vivo. Printed tumor cells remain viable and proliferate, while antigen‐specific cytotoxic T cells incorporated in the matrix migrate to the tumor site, where they induce cell death. The integration of the µPOROS matrix with embedded bioprinting opens new avenues for creating complex tissue microenvironments in vitro that may find widespread use in drug discovery, disease modeling, and tissue engineering for therapeutic use.
Tuning the Organ Tropism of Polymersome for Spleen‐Selective Nanovaccine Delivery to Boost Cancer Immunotherapy
Authors: Gu Wenxing , An Jingnan , Li Yaxi , Yang Yajie , Wang Shumin , Shan Hui , Li Shenhua , Li Hui , Liu Guoyong , Li Kai , Yin Yuxin , Mu Jing , Chen Xiaoyuan 
Published: May 2023

AbstractThe past few decades have witnessed explosive development in drug delivery systems. However, in vivo delivery suffers from non‐specific distribution in non‐targeted organs or tissues, which may cause undesired side effects and even genotoxicity. Here, a general strategy that enables tuning the tropism of polymersomes for liver‐ and spleen‐selective delivery is reported. By using a library screening approach, spleen‐targeted polymersome PH9‐Aln‐8020 and liver‐targeted polymersome PA9‐ZP3‐5050 are identified accordingly. Meanwhile, the second near‐infrared (NIR‐II) fluorescence imaging allows for in vivo dynamic evaluation of their spatial and temporal accumulation in specific tissues. O ur findings indicate that both polymer composition and protein corona on the surface are essential to determine the in vivo fate of polymersomes and tendency for specific organs. Importantly, PH9‐Aln‐8020 is employed as a systemic nanocarrier to co‐deliver the antigen and adjuvant, which remarkably boost splenic immune responses in acute myeloid leukemia, melanoma, and melanoma lung metastasis mouse models. This study may open a new frontier for polymersomes in organ‐selective delivery and other biomedical applications.
Sensitive and Broadband Wavelength Sensor Based on Two Graphene/Si/Graphene Heterojunctions
Authors: Xing Yue , Yang Jiang‐Xu , Zou Guang‐Yong , Fu Can , Pan Yan , Xiao Yu‐Tian , Wang Jiang , Wang Yan , Luo Lin‐Bao 
Published: May 2023

AbstractHigh‐precision spectral detection and broadband wavelength sensors have attracted considerable interest for important application in color image sensing. Due to the absorption limitations of silicon, conventional complementary metal–oxide–semiconductors have a relatively limited wavelength region from the ultraviolet to near‐infrared spectrum. Here, a simple‐structured device is developed by assembling two back‐to‐back monolayer graphene (MLG)/Si/MLG heterojunctions for high‐resolution wavelength sensing applications. The single MLG/Si/MLG photodetector exhibits a responsivity of 0.18 A W−1, a specific detectivity of 1.36 × 109 Jones, and an external quantum efficiency of 28.5%. Thanks to the unique device geometry, the distribution of photo‐generation rates in the two photodetectors is completely different, which brings about different photoelectric properties. It is found that the relationship between the photocurrent ratio of both photodetectors and the light wavelength can be fitted by a monotonic function, according to which the wavelength of incident light in the range from 260 to 1050 nm can be accurately estimated. A high resolution of 1 nm is demonstrated across a broadband wavelength from 260 to 1000 nm. This good resolution, along with good repeatability and stability, endow the present device with potential promise in future spectral sensing applications.
Aggregation‐Induced Emission Luminogens for Gas Sensors
Authors: Yu Yongbo , Zhang Si‐Wei , Jiang Jinhui , Ma Fulong , Wang Richard , Huang Tonghui , Zhao Jianwei , He Chao , Wei Guodan 
Published: May 2023

AbstractLuminescent chromophores armed with aggregation‐induced emission (AIE) characteristics can switch their fluorescence sensing by manipulating the aggregation and disaggregation states, leading to high sensitivity and high signal‐to‐noise ratio sensors. Accordingly, aggregation‐induced emission luminogens (AIEgens) have been widely applied to various biosensing, one of which is the gas sensors. Due to the weak signal, easy diffusion, difficult capture, and instability of gas molecules, electrochemical or infrared tests are generally used for detection. However, electrochemical tests have high power consumption, and the environment easily disturbs infrared tests. Fortunately, photochemical sensors utilizing AIE properties can effectively overcome these deficiencies. AIEgens usually exhibit large Stokes shift, good photostability, and low random blinking, suggesting excellent sensing reproducibility and many achievements have been obtained in AIEgens‐based gas sensors. This review summarizes the gas detection mechanism of AIEgens, and enumerate the reported gas sensors based on AIEgens. Then a perspective on the field and challenges facing it are elaborated so that researchers can better understand the development status of this field and develop more AIE‐type spectroscopic probes with gas‐responsive functions. It is expected to greatly enrich the types of gas sensors and promote the development of the application of AIE properties.
Closed‐Loop Control of Front Speed During Frontal Polymerization of Dicyclopentadiene—A Numerical Study
Authors: Schaer Grayson , Bretl Timothy 
Published: May 2023

AbstractThe application of closed‐loop control to enforce a target front speed during frontal polymerization (FP) of dicyclopentadiene under various initial and boundary conditions is demonstrated. Uncontrolled propagation of FP reactions can result in frontal quenching due to heat loss, unstable front propagation, material overheating, spontaneous pattern formation, and heterogenous cured material properties. These disadvantageous properties of FP limit its use to cases with highly controlled initial and boundary conditions. It is shown with results in simulation that these problems can be mitigated in three ways through the application of closed‐loop control. First, it is shown that a target front speed can be enforced by locally controlling the temperature field during FP via an external heat source. Second, it is shown that this method prevents unstable front propagation and quenching despite adverse initial and boundary conditions. Third, it is shown that this method minimizes cure time and energy consumption compared to bulk heating.
CRISPR/Cas9 Genome Editing for Tissue‐Specific In Vivo Targeting: Nanomaterials and Translational Perspective
Authors: Sahel Deepak Kumar , Vora Lalitkumar K. , Saraswat Aishwarya , Sharma Saurabh , Monpara Jasmin , D'Souza Anisha A. , Mishra Deepakkumar , Tryphena Kamatham Pushpa , Kawakita Satoru , Khan Shahid , Azhar Mohd , Khatri Dharmendra Kumar , Patel Ketan , Singh Thakur Raghu Raj 
Published: May 2023

AbstractClustered randomly interspaced short palindromic repeats (CRISPRs) and its associated endonuclease protein, i.e., Cas9, have been discovered as an immune system in bacteria and archaea; nevertheless, they are now being adopted as mainstream biotechnological/molecular scissors that can modulate ample genetic and nongenetic diseases via insertion/deletion, epigenome editing, messenger RNA editing, CRISPR interference, etc. Many Food and Drug Administration‐approved and ongoing clinical trials on CRISPR adopt ex vivo strategies, wherein the gene editing is performed ex vivo, followed by reimplantation to the patients. However, the in vivo delivery of the CRISPR components is still under preclinical surveillance. This review has summarized the nonviral nanodelivery strategies for gene editing using CRISPR/Cas9 and its recent advancements, strategic points of view, challenges, and future aspects for tissue‐specific in vivo delivery of CRISPR/Cas9 components using nanomaterials.