bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simple cleaning and regeneration of tip‐enhanced Raman spectroscopy probe with UV sources
Authors: Zhang Kaifeng , Taniguchi Shin‐ichi , Saeki Tomonori , Bao Yifan , Cao Maofeng , Watanabe Masahiro , Wang Xiang , Kobayashi Kei , Ren Bin , Yamada Hirofumi 
Published: August 2022

AbstractTip‐enhanced Raman spectroscopy (TERS) is a powerful nano‐optical approach that allows the extraction of nanometer resolved chemical information. The key to a successful TERS measurement is the quality of the TERS tip. However, tip contamination, which usually occurs during measurements on samples that include organic molecules or after long‐term storage, remains a critical problem for TERS experiments. It not only affects the reliability of TERS results but also hinders the long‐term development of the TERS technique. Herein, we propose a method that enables the regeneration of contaminated TERS tips. For this purpose, we prepared a TERS tip contaminated by stable organic molecules, which was subjected to a simple and rapid ultraviolet (UV) cleaning procedure to remove the contaminants and to regenerate the tip. This method is demonstrated to be effective in removing the contaminants from the TERS tip by directly breaking the bonds in the contaminated molecules and oxidizing organic compounds with the generated reactive oxygen atom. This simple method could propel the development of the TERS technique.
Developing a Social Media Ontology Across Otolaryngology and its Subspecialties
Authors: Flagg Candace A. , Marinelli John P. , Carlson Matthew L. , Kezirian Eric J. , Dion Gregory R. , Van Abel Kathryn M. , Choby Garret , Hamilton Grant S. , Bowe Sarah N. 
Published: August 2022

ObjectiveTo determine how social media is used in the dissemination of new information within otolaryngology, and to emphasize the importance of standardizing Twitter hashtag use.MethodsBased on the 2019 SCImago journal rankings, the Twitter posts from the accounts of the top three journals covering each otolaryngology subspecialty were reviewed from August 1, 2020 to May 1, 2021. Twitter posts from the primary otolaryngology‐related academic societies were also reviewed during this timeframe. A list of hashtags was generated based on a combination of the most common otolaryngologic procedures and most commonly used hashtags in the social media space. This list was then crowd‐sourced with 10 fellowship‐trained otolaryngologists for each subspecialty.ResultsHashtag use among key stakeholders in the otolaryngology social media space varies considerably. For instance, #HNSCC, #HeadAndNeckSquamousCellCarcinoma, #HeadAndNeckCancer, #HeadAndNeckCancers, #OropharyngealCancer, #OropharynxCancer, #OralCancer, and #OPSCC were all commonly used hashtags to identify posts discussing oropharyngeal squamous cell carcinoma. #HeadAndNeckCancer and #HNSCC were most popular and used in a total of 85 and 65 tweets, respectively. #HeadAndNeckCancer was found alone in 32 out of 85 tweets (38%), whereas #HNSCC was found alone in 27 out of 65 tweets (42%). A standardized hashtag ontology covering all subspecialties within otolaryngology is proposed herein.ConclusionsAdoption of a standardized social media ontology within otolaryngology will improve information dissemination across all key stakeholders. Laryngoscope, 133:1595–1599, 2023
Demographic and pathologic factor regression to a growth rate model of p16‐negative oral cavity squamous cell carcinoma
Authors: Wihlidal Jacob G. J. , Tay Keng Yeow , MacNeil S. Danielle , Nichols Anthony C. , Fung Kevin , Yoo John H. J. , Mendez Adrian I. 
Published: August 2022

AbstractObjectivesThe current study aims to quantify the growth rate of p16‐negative oral cavity squamous cell carcinoma, characterize causative relationships between demographic risk factors and tumor growth, and examine pathologic findings associated with the tumor growth rate at a tertiary care institution. It is hypothesized that causative relationships will be drawn between the individual sociodemographic and pathologic factors and oral cavity p16‐negative squamous cell carcinoma growth rate.MethodsProspectively recruited participants, receiving surgical intervention only, were followed from initial staging CT scan to surgical resection. Interval growth was calculated in cm3/week. Demographic information including age, sex, smoking history, alcohol consumption history, previous all‐type malignancy, previous chemotherapy treatment, previous head or neck radiation exposure, and time interval elapsed between diagnosis and surgery was collected from each participant, and regression analysis was applied to determine causality.ResultsSummary statistics revealed a mean growth rate for the study sample of 1.385cm3/week. Statistically significant regression correlations were detected between tumor growth and alcohol consumption, origination at the retromolar trigone, and clinical nodal stage.ConclusionsThrough a small prospective cohort sample, the current study suggests clinical associations between alcohol consumption, origination at the retromolar trigone, and clinical nodal stage with rate of tumor growth. Future work will validate these relationships in a larger patient cohort, and against stronger modeling techniques.Level of EvidenceProspective non‐random cohort design.
Nature‐Inspired Bionic Leaves Showing Low Surface Temperatures upon Sunlight Irradiation
Authors: Zhou Lu , Liu Heng , Zhang Lei , Shan Panpan , Fang Zhenggang , Fang Liang , Lu Chunhua , Xu Zhongzi 
Published: August 2022

AbstractTo overcome severe issues of photothermal effect from sunlight irradiation onto bionic leaves, natural‐inspired bionic leaves with three layers, that is, high near‐infrared reflection layer, absorption composite layer, and cilia layers are created. The front layer presents a high near‐infrared light reflection and reduces photothermal effect from the sunlight. The mediate layer contributes to water transpiration and absorption, facilitating heat dissipation. The bottom layer has artificial cilia arrays that enhance air convection to reduce heat accumulation . More specifically, modified chromium trioxide (Cr2O3) is added into polyvinyl alcohol (PVA), and the optimal concentration is achieved based on investigations on photothermal effects. Carbon‐fiber (CF) mat with calcium chloride (CaCl2) is used as absorption composite layers. The water absorption and loss rates under different temperature and humidity are studied and fitted using different equations. Cilia arrays are created using a magnetic field induction method, and their heat convection effects are studied based on simulation. Finally, the three layers are assembled and their temperature reduction effects are studied. The results show that the average surface temperatures of tri‐layered leaves are close to natural leaves andthe difference is 0.6 °C in a week.
Pharmacophore Modeling of Targets Infested with Activity CliffsviaMolecular Dynamics Simulation Coupled with QSAR and Comparison with other Pharmacophore Generation Methods: KDR as Case Study
Authors: Abudayah Alaa , Daoud Safa , Al‐Sha'er Mahmoud A. , Omar Taha Mutasem 
Published: August 2022

AbstractActivity cliffs (ACs) are defined as pairs of structurally similar compounds with large difference in their potencies against certain biotarget. We recently proposed that potent AC members induce significant entropically‐driven conformational modifications of the target that unveil additional binding interactions, while their weakly‐potent counterparts are enthalpically‐driven binders with little influence on the protein target. We herein propose to extract pharmacophores for ACs‐infested target(s) from molecular dynamics (MD) frames of purely “enthalpic” potent binder(s) complexed within the particular target. Genetic function algorithm/machine learning (GFA/ML) can then be employed to search for the best possible combination of MD pharmacophore(s) capable of explaining bioactivity variations within a list of inhibitors. We compared the performance of this approach with established ligand‐based and structure‐based methods. Kinase inserts domain receptor (KDR) was used as a case study. KDR plays a crucial role in angiogenic signalling and its inhibitors have been approved in cancer treatment. Interestingly, GFA/ML selected, MD‐based, pharmacophores were of comparable performances to ligand‐based and structure‐based pharmacophores. The resulting pharmacophores and QSAR models were used to capture hits from the national cancer institute list of compounds. The most active hit showed anti‐KDR IC50of 2.76 μM.
The rise of the machines in chemistry
Authors: Gill Michelle L. 
Published: August 2022

AbstractThe use of artificial intelligence and, more specifically, deep learning methods in chemistry is becoming increasingly common. Applications in informatics fields, such as cheminformatics and proteomics, structural biology, and spectroscopy, including NMR, are on the rise. Recent developments in model architectures, such as graph convolutional neural networks and transformers, have been enabled by advancements in computational hardware and software. However, model architectures with more predictive power often require larger amounts of training data, which can be challenging to acquire, but this requirement can be mitigated through techniques like pretraining and fine‐tuning. In spite of these successes, challenges remain, such as normalization and scaling of data, availability of experimentally acquired data, and model explainability.
An investigation of the role of transition metal ions impurities in CdO: Local structure and electronic properties
Authors: Chu Xiao‐Hong , Ding Chang‐Chun 
Published: August 2022

AbstractAccording to the high‐order perturbation formulae of 3d5(Mn2+) and 3d9(Cu2+) ions in octahedron, the local structures and electron paramagnetic resonance (EPR) parameters (g factors and hyperfine structure constants A) for Cu2+ and Mn2+ in CdO are theoretically studied in a consistent way. Due to the Jahn–Teller effect, both the substituted sites of Cu2+ and Mn2+ show the tetragonally elongated distortion with different elongation τ. Meanwhile, the crystal field and covalency around doped Cu2+ and Mn2+ are obtained, which can account for the electronic properties in doped CdO. In order to make further investigation of the potential optical and electrical properties, the band structure and density of states (DOS) of pure and transition metal ions (TMs) doped CdO are comparably calculated through density functional theory (DFT). The results show that the band gap of Mn2+‐ and Cu2+‐doped CdO can be effectively reduced, due to the improved covalency between the central ions and ligand ions.
Artifact suppression in readout‐segmented consistent K‐t space EPSI (RS‐COKE) for fast 1H spectroscopic imaging at 7 T
Authors: Seginer Amir , Keith Graeme A. , Porter David A. , Schmidt Rita 
Published: August 2022

PurposeFast proton (1H) MRSI is an important diagnostic tool for clinical investigations, providing metabolic and spatial information. MRSI at 7 T benefits from increased SNR and improved separation of peaks but requires larger spectral widths. RS‐COKE (Readout‐Segmented Consistent K‐t space Epsi) is an echo planar spectroscopic imaging (Epsi) variant capable to support the spectral width required for human brain metabolites spectra at 7 T. However, mismatches between readout segments lead to artifacts, particularly when subcutaneous lipid signals are not suppressed. In this study, these mismatches and their effects are analyzed and reduced.MethodsThe following corrections to the data were performed: i) frequency‐dependent phase corrections; ii) k‐space trajectory corrections, derived from short reference scans; and iii) smoothing of data at segment transitions to mitigate the effect of residual mismatches. The improvement was evaluated by performing single‐slice RS‐COKE on a head‐shaped phantom with a “lipid” layer and healthy subjects, using varying resolutions and durations ranging from 4.1 × 4.7 × 15 mm3 in 5:46 min to 3.1 × 3.3 × 15 mm3 in 13:07 min.ResultsArtifacts arising from the readout‐segmented acquisition were substantially reduced, thus providing high‐quality spectroscopic imaging in phantom and human scans. LCModel fitting of the human data resulted in a relative Cramer‐Rao lower bounds within 6% for NAA, Cr, and Cho images in the majority of the voxels.ConclusionUsing the new reference scans and reconstruction steps, RS‐COKE was able to deliver fast 1H MRSI at 7 T, overcoming the spectral width limitation of standard EPSI at this field strength.
Joint denoising of diffusion‐weighted images via structured low‐rank patch matrix approximation
Authors: Zhao Yujiao , Yi Zheyuan , Xiao Linfang , Lau Vick , Liu Yilong , Zhang Zhe , Guo Hua , Leong Alex T. , Wu Ed X. 
Published: August 2022

PurposeTo develop a joint denoising method that effectively exploits natural information redundancy in MR DWIs via low‐rank patch matrix approximation.MethodsA denoising method is introduced to jointly reduce noise in DWI dataset by exploiting nonlocal self‐similarity as well as local anatomical/structural similarity within multiple 2D DWIs acquired with the same anatomical geometry but different diffusion directions. Specifically, for each small 3D reference patch sliding within 2D DWI, nonlocal but similar patches are searched by matching image contents within entire DWI dataset and then structured into a patch matrix. The resulting patch matrices are denoised by enforcing low‐rankness via weighted nuclear norm minimization and finally are back‐distributed to DWI space. The proposed procedure was evaluated with simulated and in vivo brain diffusion tensor imaging (DTI) datasets and then compared to existing Marchenko‐Pastur principal component analysis denoising method.ResultsThe proposed method achieved significant noise reduction while preserving structural details in all DWIs for both simulated and in vivo datasets. Quantitative evaluation of error maps demonstrated it consistently outperformed Marchenko‐Pastur principal component analysis method. Further, the denoised DWIs led to substantially improved DTI parametric maps, exhibiting significantly less noise and revealing more microstructural details.ConclusionThe proposed method denoises DWI dataset by utilizing both nonlocal self‐similarity and local structural similarity within DWI dataset. This weighted nuclear norm minimization–based low‐rank patch matrix denoising approach is effective and highly applicable to various diffusion MRI applications, including DTI as a postprocessing procedure.
A class of one‐parameter alternating direction implicit methods for two‐dimensional wave equations with discrete and distributed time‐variable delays
Authors: Tang Changyang , Zhang Chengjian , Sun Hai‐wei 
Published: August 2022

AbstractFor solving the initial‐boundary value problem of two‐dimensional wave equations with discrete and distributed time‐variable delays, in the present paper, we first construct a class of basic one‐parameter methods. In order to raise the computational efficiency of this class methods, we remold the methods as one‐parameter alternating direction implicit (ADI) methods. Under the suitable conditions, the remolded methods are proved to be stable and convergent of second order in both of time and space. With several numerical experiments, the computational effectiveness and theoretical exactness of the methods are confirmed. Moreover, it is illustrated that the proposed one‐parameter ADI method has the better advantage in computational efficiency than the basic one‐parameter methods.
On teaching philanthropy
Authors: McDougle Lindsey M. 
Published: August 2022

AbstractThis commentary focuses on teaching philanthropy using an innovative pedagogy known as experiential philanthropy. Experiential philanthropy allows students to study social issues and nonprofit organizations and then make decisions about awarding funds to nonprofits working to address the social issues they learned about. The pedagogy is considered to be transformative for students across a variety of disciplines (e.g., business administration, marketing, public administration, and social work). In this commentary, I raise an important consideration for those who teach philanthropy using this pedagogy and I conclude by issuing a call to action.
Study on catechol/tetraethylenepentamine and nano zinc oxide co‐modifying ultrahigh molecular weight polyethylene fiber surface to improve interfacial adhesion
Authors: Fang Zhonghang , Tu Qunzhang , Chen Zhiyuan , Shen Xinmin , Pan Ming , Liang Kang , Yang Xuan 
Published: August 2022

AbstractTo improve interfacial adhesion to rubber matrix, a lower cost surface modification strategy of ultrahigh molecular weight polyethylene (UHMWPE) fiber was proposed by replacing expensive dopamine with the two‐component system of catechol/tetraethylenepentamine (CAT/TEPA) and then depositing nano zinc oxide (ZnO NPs). By Michael addition reaction or Schiff base reaction between CAT and TEPA, the CAT/TEPA layer was coated on the fiber surface, and further served as a secondary functional platform to realize ZnO NPs deposition through coordination. The surface morphology, chemical structure and composition, wettability and thermal property of the UHMWPE fibers were investigated to evaluate the process and effect of the surface modification. The results of the single‐filament tensile test indicated that the tensile strength of the UHMWPE fibers has no deterioration after the modification treatment. In comparison with the original fiber, the pull‐out test showed that the highest interface adhesion between the modified UHMWPE fibers and rubber matrix increased by 80.4%. Additionally, it was found that the appropriate zinc ion concentration played an important role in the modification effect.
Lack of EGFR catalytic activity in hepatocytes improves liver regeneration following DDC‐induced cholestatic injury by promoting a pro‐restorative inflammatory response
Authors: Lazcanoiturburu Nerea , García‐Sáez Juan , González‐Corralejo Carlos , Roncero Cesáreo , Sanz Julián , Martín‐Rodríguez Carlos , Valdecantos M Pilar , Martínez‐Palacián Adoración , Almalé Laura , Bragado Paloma , Calero‐Pérez Silvia , Fernández Almudena , García‐Bravo María , Guerra Carmen , Montoliu Lluis , Segovia José Carlos , Valverde Ángela M , Fabregat Isabel , Herrera Blanca , Sánchez Aránzazu 
Published: August 2022

AbstractDespite the well‐known hepatoprotective role of the epidermal growth factor receptor (EGFR) pathway upon acute damage, its specific actions during chronic liver disease, particularly cholestatic injury, remain ambiguous and unresolved. Here, we analyzed the consequences of inactivating EGFR signaling in the liver on the regenerative response following cholestatic injury. For that, transgenic mice overexpressing a dominant negative mutant human EGFR lacking tyrosine kinase activity (ΔEGFR) in albumin‐positive cells were submitted to liver damage induced by 3,5‐diethoxycarbonyl‐1,4‐dihydrocollidine (DDC), an experimental model resembling human primary sclerosing cholangitis. Our results show an early activation of EGFR after 1–2 days of a DDC‐supplemented diet, followed by a signaling switch‐off. Furthermore, ΔEGFR mice showed less liver damage and a more efficient regeneration following DDC injury. Analysis of the mechanisms driving this effect revealed an enhanced activation of mitogenic/survival signals, AKT and ERK1/2‐MAPKs, and changes in cell turnover consistent with a quicker resolution of damage in response to DDC. These changes were concomitant with profound differences in the profile of intrahepatic immune cells, consisting of a shift in the M1/M2 balance towards M2 polarity, and the Cd4/Cd8 ratio in favor of Cd4 lymphocytes, overall supporting an immune cell switch into a pro‐restorative phenotype. Interestingly, ΔEGFR livers also displayed an amplified ductular reaction, with increased expression of EPCAM and an increased number of CK19‐positive ductular structures in portal areas, demonstrating an overexpansion of ductular progenitor cells. In summary, our work supports the notion that hepatocyte‐specific EGFR activity acts as a key player in the crosstalk between parenchymal and non‐parenchymal hepatic cells, promoting the pro‐inflammatory response activated during cholestatic injury and therefore contributing to the pathogenesis of cholestatic liver disease. © 2022 The Pathological Society of Great Britain and Ireland.
The role of cognitive control in the SNARC effect: A review
Authors: Zhang Ping , Cao Bihua , Li Fuhong 
Published: August 2022

AbstractThe spatial‐numerical association of response codes (SNARC) effect, in which people respond to small numbers faster with the left hand and to large numbers faster with the right hand, is a popular topic in cognitive psychology. Some well‐known theoretical accounts explaining this effect include the mental number line model, polarity correspondence principle, dual‐route model, and working memory account. However, these fail to explain the finding that the size of the SNARC effect is modulated by cognitive control. Here, we propose a new account—a cognitive control‐based view of the SNARC effect. This view argues that the SNARC effect is fundamentally determined by cognitive control in resolving conflicts during stimulus–response mapping. Several subcomponents of cognitive control, such as working memory, mental or task set shifting, inhibition control, and conflict adaptation, can easily modulate the SNARC effect. The cognitive control‐based view can account for the flexible SNARC effect observed in diverse task situations while providing new insight into its mechanism.
Collaboration is key: School psychologists' experience in suicide intervention
Authors: Hopple Alyce M. , Ball Carrie R. 
Published: August 2022

AbstractSchool psychologists are key school‐based personnel when responding to suicidal thoughts and behaviors. The present paper explored the experiences and attitudes of school psychologists, with a special focus on collaborating during suicide intervention activities. Using a descriptive phenomenological approach, a purposive sample procedure identified 10 school psychologists. Data were collected via in‐person, semi‐structured interviews. Most participants were female (n = 9) and all were practicing within the school setting and had delivered suicide intervention activities. Experiences described through interviews suggested collaboration while responding to suicide was a common activity that enhances the quality of services, external collaboration—though beneficial for students—can be a barrier to the provision of services, school psychologists cope through collaboration, and suicide intervention services would benefit from increased collaboration. Implications for practice include working to develop stable partnerships with external stakeholders and increasing collaboration during suicide assessment and response.