bluuebunny/crossref_metadata_2025 huggingface dataset:
A multimodal study regarding neural correlates of the subjective well-being in healthy individuals
Authors: Jung Hye-Yeon , Pae Chongwon , An Iseul , Bang Minji , Choi Tai Kiu , Cho Sung Joon , Lee Sang-Hyuk
Published: August 2022

Although happiness or subjective well-being (SWB) has drawn much attention from researchers, the precise neural structural correlates of SWB are generally unknown. In the present study, we aimed to investigate the associations between gray matter (GM) volumes, white matter (WM) microstructures, and SWB in healthy individuals, mainly young adults using multimodal T1 and diffusion tensor imaging studies. We enrolled 70 healthy individuals using magnetic resonance imaging. We measured their SWB using the Concise Measure of Subjective Well-Being. Voxel-wise statistical analysis of GM volumes was performed using voxel-based morphometry, while fractional anisotropy (FA) values were analyzed using tract-based spatial statistics. In healthy individuals, higher levels of SWB were significantly correlated with increased GM volumes of the anterior insula and decreased FA values in clusters of the body of the corpus callosum, precuneus WM, and fornix cres/stria terminalis. A correlational analysis revealed that GM volumes and FA values in these significant regions were significantly correlated with severity of psychological symptoms such as depression, anxiety, and quality of life. Our findings indicate that GM volumes and WM microstructures in these regions may contribute to SWB, and could be the neural basis for psychological symptom severity as well as quality of life in healthy individuals.
Mechanical and physical assessment of epoxy, mineral, solvent-based, and water-soluble coating materials
Authors: Millán Ramírez Ginneth Patricia , Byliński Hubert , Niedostatkiewicz Maciej
Published: August 2022

This paper assesses the behavior of mineral, epoxy (EP), solvent, and water-soluble coatings when exposed to salt and regular water for 28 days. Also, it evaluates the pull-off adhesion strength of the same coating materials applied to concrete slabs saturated with oil and water and dried with two different processes: air-dried for 28 days and air-dried for 14 days plus 14 days in the oven at 70 °C. Properties such as carbonation, water absorption rate, pull-off adhesion strength were evaluated for all coatings, and tensile strength, Young’s modulus, and elongation percentage were calculated for mineral coatings. According to the results, the EP coating showed the best performance with the highest pull-off adhesion strength (2.55 MPa) and lowest absorption rate, about 0.02 ± 0.002 g/m2 day in saltwater and 0.03 ± 0.002 g/m2 day in regular water. In addition, EP coatings also presented the lowest carbonation rate and the highest suppress ratio. The excellent performance of epoxy coatings is mainly due to their low porosity and the ability to decrease chloride diffusion, making them better than other types of coatings investigated in this study.
Estimation of dust concentration by a novel machine vision system
Authors: Arjomandi Hamid Reza , Kheiralipour Kamran , Amarloei Ali
Published: August 2022

The dust phenomenon is one of the main environmental problems that it reversely affects human health and economical and social activities. In the present research, a novel algorithm has been developed based on image processing to estimate dust concentration. An experimental setup was implemented to create airborne dust with different concentration values from 0 to 2750 µg.m−3. The images of the different dust concentration values were acquired and analyzed by image processing technique. Different color and texture features were extracted from various color spaces. The extracted features were used to develop single and multivariable models by regression method. Totally 285 single variable models were obtained and compared to select efficient features among them. The best single variable model had a predictive accuracy of 91%. The features were used for multivariable modeling and the best model was selected with a predictive accuracy of 100% and a mean squared error of 1.44 × 10−23. The results showed the high ability of the developed machine vision system for estimating dust concentration with high speed and accuracy.
Evaluation of auto-segmentation for EBRT planning structures using deep learning-based workflow on cervical cancer
Authors: Wang Jiahao , Chen Yuanyuan , Xie Hongling , Luo Lumeng , Tang Qiu
Published: August 2022

Deep learning (DL) based approach aims to construct a full workflow solution for cervical cancer with external beam radiation therapy (EBRT) and brachytherapy (BT). The purpose of this study was to evaluate the accuracy of EBRT planning structures derived from DL based auto-segmentation compared with standard manual delineation. Auto-segmentation model based on convolutional neural networks (CNN) was developed to delineate clinical target volumes (CTVs) and organs at risk (OARs) in cervical cancer radiotherapy. A total of 300 retrospective patients from multiple cancer centers were used to train and validate the model, and 75 independent cases were selected as testing data. The accuracy of auto-segmented contours were evaluated using geometric and dosimetric metrics including dice similarity coefficient (DSC), 95% hausdorff distance (95%HD), jaccard coefficient (JC) and dose-volume index (DVI). The correlation between geometric metrics and dosimetric difference was performed by Spearman’s correlation analysis. The right and left kidney, bladder, right and left femoral head showed superior geometric accuracy (DSC: 0.88–0.93; 95%HD: 1.03 mm–2.96 mm; JC: 0.78–0.88), and the Bland–Altman test obtained dose agreement for these contours (P > 0.05) between manual and DL based methods. Wilcoxon’s signed-rank test indicated significant dosimetric differences in CTV, spinal cord and pelvic bone (P < 0.001). A strong correlation between the mean dose of pelvic bone and its 95%HD (R = 0.843, P < 0.001) was found in Spearman’s correlation analysis, and the remaining structures showed weak link between dosimetric difference and all of geometric metrics. Our auto-segmentation achieved a satisfied agreement for most EBRT planning structures, although the clinical acceptance of CTV was a concern. DL based auto-segmentation was an essential component in cervical cancer workflow which would generate the accurate contouring.
Association between changes in handgrip strength and depression in Korean adults: a longitudinal panel study
Authors: Kim Hyunkyu , Jeong Wonjeong , Kim Seung Hoon , Park Yu Shin , Jang Sung-In , Park Eun-Cheol
Published: August 2022

Depression in older adults is a global socioeconomic burden. Identifying factors, such as physical activity or exercise that can help prevent depression is important. We aimed to investigate the relationship between changes in handgrip strength and the presence of depression using longitudinal, nationwide data of older Korean adults. Data from the Korean Longitudinal Study of Aging were used in this study. A total of 6783 participants who had undergone a handgrip strength test and completed the short-form Center for Epidemiologic Studies Depression Scale (CESD-10-D) questionnaire from 2006 to 2018 were included. General estimating equations were used to assess the temporal effect of the changes in handgrip strength on depression. A decrease in handgrip strength was associated with high CESD-10-D scores (β = 0.1889 in men, β = 0.1552 in women). As a continuous variable, handgrip strength was negatively correlated with CESD-10-D scores(β = − 0.0166 in men, β = − 0.0196 in women). Changes in the handgrip strength were associated with depressive symptoms in our longitudinal study. Those who experienced a decrease in handgrip strength had severe depressive symptoms compared to those with unchanged or increased handgrip strength. These findings can be used to guide general health policies for the prevention of depression.
Interleukin 1 receptor antagonist relation to cardiovascular disease risk in patients with rheumatoid arthritis
Authors: Almeida-Santiago Cristina , Quevedo-Abeledo Juan Carlos , Hernández-Hernández Vanesa , de Vera-González Antonia , Gonzalez-Delgado Alejandra , González-Gay Miguel Ángel , Ferraz-Amaro Iván
Published: August 2022

Interleukin (IL) 1, and its family member, IL-1 receptor antagonist (IL-1ra), are involved in the pathogenesis and inflammation perpetuation of patients with rheumatoid arthritis (RA). Besides, IL-1 has been linked to an increased risk and greater severity of cardiovascular (CV) disease. We aimed to study if IL-1ra is related to the CV manifestations—including lipid pattern and insulin resistance or subclinical atherosclerosis—that accompanies the disease in a large series of patients with RA. Cross-sectional study that encompassed 430 patients with RA. Serum IL-1ra levels were assessed. A multivariable analysis was performed to analyze the relation of IL-1ra to subclinical carotid atherosclerosis, and to traditional CV factors including a complete lipid molecules profile and insulin resistance or beta cell function indices. Body mass index, abdominal circumference, and the presence of obesity were significantly and positively associated with circulating IL-1ra. Similarly, erythrocyte sedimentation rate, and disease activity scores were significantly related to higher IL-1ra serum levels after adjustment for confounders. Neither carotid intima-media thickness nor the presence of carotid plaque were associated with serum levels of IL-1ra. However, after multivariable analysis circulating IL-1ra was independently and positively associated with higher serum levels of total cholesterol, triglycerides, and apolipoproteins B and C-III. Similarly, IL-1ra was related to higher levels of beta-cell function in the univariable analysis, although, in this case, significance was lost after adjustment. Among patients with RA, IL-1ra is associated with both disease activity and several traditional CV risk factors such as obesity and the presence of higher lipid levels. Our findings suggest that IL-1ra can represent a link between the inflammation and the CV disease risk that are present in patients with RA.
Consensus genomic regions associated with multiple abiotic stress tolerance in wheat and implications for wheat breeding
Authors: Tanin Mohammad Jafar , Saini Dinesh Kumar , Sandhu Karansher Singh , Pal Neeraj , Gudi Santosh , Chaudhary Jyoti , Sharma Achla
Published: August 2022

In wheat, a meta-analysis was performed using previously identified QTLs associated with drought stress (DS), heat stress (HS), salinity stress (SS), water-logging stress (WS), pre-harvest sprouting (PHS), and aluminium stress (AS) which predicted a total of 134 meta-QTLs (MQTLs) that involved at least 28 consistent and stable MQTLs conferring tolerance to five or all six abiotic stresses under study. Seventy-six MQTLs out of the 132 physically anchored MQTLs were also verified with genome-wide association studies. Around 43% of MQTLs had genetic and physical confidence intervals of less than 1 cM and 5 Mb, respectively. Consequently, 539 genes were identified in some selected MQTLs providing tolerance to 5 or all 6 abiotic stresses. Comparative analysis of genes underlying MQTLs with four RNA-seq based transcriptomic datasets unravelled a total of 189 differentially expressed genes which also included at least 11 most promising candidate genes common among different datasets. The promoter analysis showed that the promoters of these genes include many stress responsiveness cis-regulatory elements, such as ARE, MBS, TC-rich repeats, As-1 element, STRE, LTR, WRE3, and WUN-motif among others. Further, some MQTLs also overlapped with as many as 34 known abiotic stress tolerance genes. In addition, numerous ortho-MQTLs among the wheat, maize, and rice genomes were discovered. These findings could help with fine mapping and gene cloning, as well as marker-assisted breeding for multiple abiotic stress tolerances in wheat.
GAWMerge expands GWAS sample size and diversity by combining array-based genotyping and whole-genome sequencing
Authors: Mathur Ravi , Fang Fang , Gaddis Nathan , Hancock Dana B. , Cho Michael H. , Hokanson John E. , Bierut Laura J. , Lutz Sharon M. , Young Kendra , Smith Albert V. ,   NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Silverman Edwin K. , Page Grier P. , Johnson Eric O.
Published: August 2022

Genome-wide association studies (GWAS) have made impactful discoveries for complex diseases, often by amassing very large sample sizes. Yet, GWAS of many diseases remain underpowered, especially for non-European ancestries. One cost-effective approach to increase sample size is to combine existing cohorts, which may have limited sample size or be case-only, with public controls, but this approach is limited by the need for a large overlap in variants across genotyping arrays and the scarcity of non-European controls. We developed and validated a protocol, Genotyping Array-WGS Merge (GAWMerge), for combining genotypes from arrays and whole-genome sequencing, ensuring complete variant overlap, and allowing for diverse samples like Trans-Omics for Precision Medicine to be used. Our protocol involves phasing, imputation, and filtering. We illustrated its ability to control technology driven artifacts and type-I error, as well as recover known disease-associated signals across technologies, independent datasets, and ancestries in smoking-related cohorts. GAWMerge enables genetic studies to leverage existing cohorts to validly increase sample size and enhance discovery for understudied traits and ancestries.
Radical hydrodifluoromethylation of unsaturated C−C bonds via an electroreductively triggered two-pronged approach
Authors: Kim Seonyoung , Hwang Keon Ha , Park Hyeong Gyu , Kwak Jaesung , Lee Hyuk , Kim Hyunwoo
Published: August 2022

Due to its superior ability in controlling pharmaceutical activity, the installation of difluoromethyl (CF2H) functionality into organic molecules has been an area of intensive research. In this context, difluoromethylation of C−C π bonds mediated by a CF2H radical have been pursued as a central strategy to grant access to difluoromethylated hydrocarbons. However, early precedents necessitate the generation of oxidative chemical species that can limit the generality and utility of the reaction. We report here the successful implementation of radical hydrodifluoromethylation of unsaturated C−C bonds via an electroreductively triggered two-pronged approach. Preliminary mechanistic investigations suggest that the key distinction of the present strategy originates from the reconciliation of multiple redox processes under highly reducing electrochemical conditions. The reaction conditions can be chosen based on the electronic properties of the alkenes of interest, highlighting the hydrodifluoromethylation of both unactivated and activated alkenes. Notably, the reaction delivers geminal (bis)difluoromethylated products from alkynes in a single step by consecutive hydrodifluoromethylation, granting access to an underutilized 1,1,3,3-tetrafluoropropan-2-yl functional group. The late-stage hydrodifluoromethylation of densely functionalized pharmaceutical agents is also presented.
Embedded chimera states in recurrent neural networks
Authors: Masoliver Maria , Davidsen Jörn , Nicola Wilten
Published: August 2022

Fully and partially synchronized brain activity plays a key role in normal cognition and in some neurological disorders, such as epilepsy. However, the mechanism by which synchrony and asynchrony co-exist in a population of neurons remains elusive. Chimera states, where synchrony and asynchrony coexist, have been documented only for precisely specified connectivity and network topologies. Here, we demonstrate how chimeras can emerge in recurrent neural networks by training the networks to display chimeras with machine learning. These solutions, which we refer to as embedded chimeras, are generically produced by recurrent neural networks with connectivity matrices only slightly perturbed from random networks. We also demonstrate that learning is robust to different biological constraints, such as the excitatory/inhibitory classification of neurons (Dale’s law), and the sparsity of connections in neural circuits. The recurrent neural networks can also be trained to switch chimera solutions: an input pulse can trigger the neural network to switch the synchronized and the unsynchronized groups of the embedded chimera, reminiscent of uni-hemispheric sleep in a variety of animals. Our results imply that the emergence of chimeras is quite generic at the meso- and macroscale suggesting their general relevance in neuroscience.
The Arctic has warmed nearly four times faster than the globe since 1979
Authors: Rantanen Mika , Karpechko Alexey Yu. , Lipponen Antti , Nordling Kalle , Hyvärinen Otto , Ruosteenoja Kimmo , Vihma Timo , Laaksonen Ari
Published: August 2022

In recent decades, the warming in the Arctic has been much faster than in the rest of the world, a phenomenon known as Arctic amplification. Numerous studies report that the Arctic is warming either twice, more than twice, or even three times as fast as the globe on average. Here we show, by using several observational datasets which cover the Arctic region, that during the last 43 years the Arctic has been warming nearly four times faster than the globe, which is a higher ratio than generally reported in literature. We compared the observed Arctic amplification ratio with the ratio simulated by state-of-the-art climate models, and found that the observed four-fold warming ratio over 1979–2021 is an extremely rare occasion in the climate model simulations. The observed and simulated amplification ratios are more consistent with each other if calculated over a longer period; however the comparison is obscured by observational uncertainties before 1979. Our results indicate that the recent four-fold Arctic warming ratio is either an extremely unlikely event, or the climate models systematically tend to underestimate the amplification.
Fluorescent carbon dots from water hyacinth as detection sensors for ferric ions: the preparation and optimisation using response surface methodology
Authors: Tan Qiren , Li Xiaoying , Sun Peng , Zhao Jie , Yang Qinyan , Wang Lumei , Deng Yun , Shen Guoqing
Published: August 2022

The schematic diagram of the fluorescent CDs from water hyacinth for the detection of ferric ions.
Highly sensitive acetylcholine biosensing via chemical amplification of enzymatic processes in nanochannels
Authors: Toum Terrones Yamili , Laucirica Gregorio , Cayón Vanina M. , Fenoy Gonzalo E. , Cortez M. Lorena , Toimil-Molares María Eugenia , Trautmann Christina , Mamisollé Waldemar A. , Azzaroni Omar
Published: August 2022

In this work, we present the ultra-sensitive detection of acetylcholine (Ach) using enzymatic nanofluidic biosensors in which the ionic signal is generated via local chemical amplification of enzymatic processes.
An intriguing tetranuclear Rh-based polyoxometalate for the reduction of nitroarene and oxidation of aniline
Authors: Chen Wenjing , Li Huafeng , Jin Yuzhen , Wu Che , Yuan Zelong , Ma Pengtao , Wang Jingping , Niu Jingyang
Published: August 2022

Tetrameric POM 1 containing the largest number of Rh atoms was successfully synthesized. Results indicate that 1, with a suitable energy band structure, enables the photocatalytic reduction of nitrobenzenes to anilines and catalytic oxidation of anilines to azobenzenes.
Developing a dynamic magnetic flux template to guide 1D nanomaterial growth
Authors: Liang Yanjing , Zhu Zhiqing , Li Qi , Huang Qingsong
Published: August 2022

A new invisible clean template, dynamic magnetic flux template (DMT), has been developed for preparing one-dimensional nanomaterials efficiently.
Surface deposition of 2D covalent organic frameworks for minimizing nanocatalyst sintering during hydrogenation
Authors: Zheng Zhenqian , Li Zheng , Yang Yuhao , Wang Xuepeng , Wang Song , Zhang Ziyang , Kang Ting , Chen Xingkun , Wang Wen-Jun , Ding Yunjie , Braunstein Pierre , Liu Pingwei
Published: August 2022

A strategy ofin situdeposition of two-dimensional covalent organic frameworks onto a supported nanocatalyst was developed for suppressing the agglomeration and sintering of metal nanoparticles without compromising their activity and selectivity.
Site-selective modification of metallic nanoparticles
Authors: Hoang Khoi Nguyen L. , McClain Sophia M. , Meyer Sean M. , Jalomo Catherine A. , Forney Nathan B. , Murphy Catherine J.
Published: August 2022

Surface patterning of inorganic nanoparticles through site-selective functionalization with mixed ligand shells or additional inorganic material leads to tailored nanomaterials with potentially novel and/or multifunctional properties.
Chasing protons in lithium-ion batteries
Authors: Chen Zonghai
Published: August 2022

The parasitic reaction between the cathode and the electrolyte is facilitated by the coordination bonding between the carboxyl groups and the interfacial transition metal ions. A stable cathode electrolyte interface can be achieved by (1) blocking coordination bond, (2) retarding electron transfer, and (3) hindering the diffusion of protons towards the cathode material.
Prediction of anisotropic NMR data without knowledge of alignment medium structure by surface decomposition
Authors: Liu Yizhou , Ndukwe Ikenna E. , Reibarkh Mikhail , Martin Gary E. , Williamson R. Thomas
Published: August 2022

Surface decomposition provides a general method for steric alignment prediction without knowledge of medium structure.
Directed evolution of cytochrome P450DA hydroxylase activity for stereoselective biohydroxylation
Authors: Wan Nan-Wei , Cui Hai-Bo , Zhao Ling , Shan Jing , Chen Ke , Wang Zhong-Qiang , Zhou Xiao-Jian , Cui Bao-Dong , Han Wen-Yong , Chen Yong-Zheng
Published: August 2022

A colorimetric high throughput screening method was developed based on a dual-enzyme cascade and used for the directed evolution of cytochrome P450 hydroxylase activity.
Synergistic effect of Cu/Cu2O surfaces and interfaces for boosting electrosynthesis of ethylene from CO2 in a Zn–CO2 battery
Authors: Jia Zhichao , Han Dandan , Chang Fangfang , Fu Xiaogang , Bai Zhengyu , Yang Lin
Published: August 2022

We constructed Cu/Cu2O hybrid catalysts with highly active surfaces/interfaces to realize a synergistic effect, thus improving the selectivity and efficiency of C2H4 production.
The UV-B protective effect of a SiO2 doped TiO2 thin film regulates pitx3 and sparc expression during embryonic development of zebrafish
Authors: Sundarraj Shenbagamoorthy , Muneeswaran Sankareswari , Wilson Alphonse Carlton Ranjith , Sujitha Mohanan V. , Soundharapandiyan Nandhagopal , Rajendran Vidhya , Kannan Rajaretinam Rajesh
Published: August 2022

SiO2@TiO2 thin film synthesis and their UV protective application in microorganisms and molecular response in the embryonic development of zebrafish were elucidated.
Aerolysin nanopore-based identification of proteinogenic amino acids using a bipolar peptide probe
Authors: Ge Yaxian , Cui Mengjie , Zhang Qiuqi , Wang Ying , Xi Dongmei
Published: August 2022

Nanopore technology has attracted extensive attention due to its rapid, highly sensitive, and label-free performance.
Impact of the gate geometry on adiabatic charge pumping in InAs double quantum dots
Authors: An Sung Jin , Bae Myung-Ho , Lee Myoung-Jae , Song Man Suk , Madsen Morten H. , Nygård Jesper , Schönenberger Christian , Baumgartner Andreas , Seo Jungpil , Jung Minkyung
Published: August 2022

Adiabatic charge pumping in InAs nanowire double quantum dots.
Combining confocal microscopy, dSTORM, and mass spectroscopy to unveil the evolution of the protein corona associated with nanostructured lipid carriers during blood–brain barrier crossing
Authors: Battaglini Matteo , Feiner Natalia , Tapeinos Christos , De Pasquale Daniele , Pucci Carlotta , Marino Attilio , Bartolucci Martina , Petretto Andrea , Albertazzi Lorenzo , Ciofani Gianni
Published: August 2022

Lipid magnetic nanovectors in contact with biological fluids are immediately covered by proteins. During the passage across brain endothelial cells, these proteins are partially lost and a new protein corona is developed.
Feasibility of switchable dual function materials as a flexible technology for CO2 capture and utilisation and evidence of passive direct air capture
Authors: Merkouri Loukia-Pantzechroula , Ramirez Reina Tomas , Duyar Melis S.
Published: August 2022

In this work we show that it is possible to design “switchable” dual function materials that can directly convert carbon dioxide into useful products using hydrogen or methane. These DFMs offer a means to respond to changes in the energy sector.
2D magnetic phases of Eu on Ge(110)
Authors: Averyanov Dmitry V. , Sokolov Ivan S. , Taldenkov Alexander N. , Parfenov Oleg E. , Tokmachev Andrey M. , Storchak Vyacheslav G.
Published: August 2022

Regular submonolayer structures of Eu atoms coupled with Ge(110) exhibit magnetic states. Submonolayer structures on different substrates can host 2D magnetic phases, suggesting the phenomenon to be rather general.
Structure-dependent high-TC ferromagnetism in Mn-doped GeSe
Authors: Li Deren , Zhang Xi , He Wenjie , Lei Li , Peng Yong , Xiang Gang
Published: August 2022

Different nanostructured GeMnSe DMSs are fabricated using CVD. Among them, GeMnSe nanocombs (NCs) exhibit ferromagnetism with a record-high TC of 309 K, much higher than the values below 200 K in previously-reported IV–VI DMSs.
Self-assembly of colloidal single-layer carbon nitride
Authors: Stroyuk Oleksandr , Raievska Oleksandra , Brabec Christoph J. , Dzhagan Volodymyr , Havryliuk Yevhenii , Zahn Dietrich R. T.
Published: August 2022

A new “bottom-to-top” approach to spatially organized intercalated carbon nitride nanostructures by the self-assembly of colloidal single-layer carbon nitride sheets is introduced.
Remdesivir analog as SARS-CoV-2 polymerase inhibitor: virtual screening of a database generated by scaffold replacement
Authors: Said Mohamed A. , Albohy Amgad , Abdelrahman Mohamed A. , Ibarhim Hany S.
Published: August 2022

By the end of 2019, a novel strain of the corona viral family named SARS-CoV-2 emerged in Wuhan, China and started to spread worldwide causing one of the most dangerous lethal pandemics.
Rhodamine-based cyclic hydrazide derivatives as fluorescent probes for selective and rapid detection of formaldehyde
Authors: Kim Sung Yeon , Park Sang-Hyun , Lee Chang-Hee , Tae Jinsung , Shin Injae
Published: August 2022

We developed a fluorescent probe that is useful to monitor endogenous and exogenous formaldehyde in live cells.
TiO2nanoparticles decorated with Co-Schiff base-g-C3N4as an efficient photocatalyst for one-pot visible light-assisted synthesis of benzimidazoles
Authors: Pourmorteza Narges , Jafarpour Maasoumeh , Feizpour Fahimeh , Rezaeifard Abdolreza
Published: August 2022

The Co-g-C3N4-imine/TiO2nanohybrid promotes different transformations in a one-pot reaction sequence: aerobic photooxidation of benzylic alcohols to aldehydes, and then the tandem synthesis of benzimidazoles.
Photocatalytic activity of layered MoS2 in the reductive degradation of bromophenol blue
Authors: Kisała Joanna , Ferraria Ana M. , Mitina Nataliya , Cieniek Bogumił , Krzemiński Piotr , Pogocki Dariusz , Nebesnyi Roman , Zaichenko Oleksandr , Bobitski Yaroslav
Published: August 2022

Molybdenum disulphide (MoS2) is a layered material with interesting photocatalytic properties.
Construction of a non-enzymatic electrochemical sensor based on graphitic carbon nitride nanosheets for sensitive detection of procalcitonin
Authors: Liu Yushuang , Chen Furong , Bao Layue , Hai Wenfeng
Published: August 2022

A simple and ultra-sensitive electrochemical biosensor based on graphitic carbon nitride nanosheets (g-C3N4 NS) was developed for the detection of PCT. This sensor presented excellent sensing performance and demonstrates potential for clinical application.
N-Doped graphene quantum dots (N-GQDs) as fluorescent probes for detection of UV induced DNA damage
Authors: Jabeen Gulshan , Ahmad Muhammad Hassan , Aslam Muhammad , Riaz Sara , Hayat Akhtar , Nawaz Mian Hasnain
Published: August 2022

UV induced DNA damage can lead to the development of skin cancer, skin aging and cell death.
Investigating the role of the strong field ligands in [FeFe] hydrogenase: spectroscopic and functional characterization of a semi-synthetic mono-cyanide active site
Authors: Lorenzi Marco , Gellett Joe , Zamader Afridi , Senger Moritz , Duan Zehui , Rodríguez-Maciá Patricia , Berggren Gustav
Published: August 2022

Cyanide to carbonyl exchange in semi-synthetic [FeFe] hydrogenases: exploring the role of the strong field ligands of the active site and their interaction with the protein matrix via spectroscopy and electrochemistry.
Genome-wide mapping of N4-methylcytosine at single-base resolution by APOBEC3A-mediated deamination sequencing
Authors: Xiong Jun , Wang Ping , Shao Wen-Xuan , Li Gaojie , Ding Jiang-Hui , Xie Neng-Bin , Wang Min , Cheng Qing-Yun , Xie Conghua , Feng Yu-Qi , Ci Weimin , Yuan Bi-Feng
Published: August 2022

Genome-wide mapping of N4-methylcytosine (4mC) at single-base resolution with APOBEC3A-mediated deamination sequencing (4mC-AMD-seq).
Coherent ring-current migration of Mg-phthalocyanine probed by time-resolved X-ray circular dichroism
Authors: Sun Shichao , Yong Haiwang , Chen Feng , Mukamel Shaul
Published: August 2022

The coherent ring current of Mg-phthalocyanine are created by a broad band UV-visible pump pulse and migrate into different regions within the molecule. This coherent ring current dynamics is probed by time-resolved X-ray circular dichroism.
Metal–organic frameworks as O2-selective adsorbents for air separations
Authors: Jaramillo David E. , Jaffe Adam , Snyder Benjamin E. R. , Smith Alex , Taw Eric , Rohde Rachel C. , Dods Matthew N. , DeSnoo William , Meihaus Katie R. , Harris T. David , Neaton Jeffrey B. , Long Jeffrey R.
Published: August 2022

This Perspective summarizes progress in the development of O2-selective metal–organic frameworks for adsorptive air separations and identifies key metrics and design considerations toward optimizing material performance for practical applications.
Iron-catalysed alkene and heteroarene H/D exchange by reversible protonation of iron-hydride intermediates
Authors: Britton Luke , Docherty Jamie H. , Sklyaruk Jan , Cooney Jessica , Nichol Gary S. , Dominey Andrew P. , Thomas Stephen P.
Published: August 2022

The iron-catalysed C(sp2)–H bond H/D exchange reaction using CD3OD is reported for both heterocycles and alkenes. Characterisation of the key C–H metallation intermediates provided evidence for reversible protonation of the iron hydride catalyst.
Monolith-modified cellulose paper for biochemical sensing applications
Authors: Chu Wei-Yi , Yang Chun-Hui , Viter Roman , Ramanavičius Arũnas , Luo Shyh-Chyang , Chen Chien-Fu
Published: August 2022

A microfluidic paper-based analytical device (μPAD) modified with a poly(GMA-co-EDMA) monolith for rapid tuberculosis detection.
Spray-coated few-layer graphene as an aluminium battery cathode
Authors: Petnikota Shaikshavali , Koch Daniel , Imran Muhammad , Buha Joka , Panda Jaya Kumar , Akbari Garakani Mohammad , Marasco Luigi , Gamucci Andrea , Bonaccorso Francesco , Pellegrini Vittorio
Published: August 2022

We report herein wet-jet milling produced graphene (GWJM) as a high performing aluminium battery (AB) cathode material.
Synthesis of P-doped CdS nanorods for efficient blue LED light induced photocatalytic hydrogen evolution
Authors: Das Sankar , Ahn Young-Ho
Published: August 2022

Photocatalytic conversion of solar energy to fuel has gained significant attention from the research community as the global energy crisis and environmental concerns are becoming more acute with every passing year.
Atomic-interface strategy and N,O co-doping enable WS2 electrodes with ultrafast ion transport rate in sodium-ion batteries
Authors: Han Meisheng , Mu Yongbiao , Cai Yuanyuan , Wei Lei , Zeng Lin , Zhao Tianshou
Published: August 2022

Interoverlapped superstructure of unilamellar N,O co-doped WS2 and C is constructed as anode materials for fast-charging sodium-ion batteries.
Synergy of non-lithium cation doping and the lithium concentration affecting lithium ion transport in solid electrolytes
Authors: Feng Shihao , Wang Zhixing , Guo Huajun , Li Xinhai , Yan Guochun , Li Qihou , Wang Jiexi
Published: August 2022

Large-radius non-lithium cation doping can increase lithium-ion conductivity at low lithium-ion concentrations while the doping of non-lithium cations with a small radius can improve the lithium-ion conductivity at high lithium-ion concentrations.
Aerogels in passive solar thermal desalination: a review
Authors: Rastgar Masoud , Jiang Longxin , Wang Chunrong , Sadrzadeh Mohtada
Published: August 2022

Driven by renewable energy, solar-thermal technology holds promising potential for effective freshwater production with a reduced carbon footprint.
Cesium lead bromide semiconductor radiation detectors: crystal growth, detector performance and polarization
Authors: Toufanian Reyhaneh , Swain Santosh , Becla Piotr , Motakef Shariar , Datta Amlan
Published: August 2022

Large volume cesium lead bromide (CsPbBr3) perovskite semiconductor radiation detectors match the detection properties of CZT and TlBr but potentially at a lower cost and better stability.
Arrays of spherical nanostructured oxide particles for photon management enhancement in photovoltaic devices
Authors: Zheng Lin , Li Zhizai , Zhou Xufeng , Zhang Hong , Wang Qian , Jia Hao , Jin Zhiwen
Published: August 2022

Optical enhancement of CsPbI3 PSCs by SNOPs was explored through optical modeling and experimental validation. SNOPs not only enhanced the optical field interference of the devices, but also made the photon collection at different depths more regular and uniform.
The real‐time state identification of the electricity‐heat system based on Borderline‐SMOTE and XGBoost
Authors: Pei Xin , Mei Fei , Gu Jiaqi
Published: August 2022

It is meaningful to study the real‐time state monitoring and identification of integrated energy system and grasp its state in time for stable operation. A state identification method based on multi‐class data equalisation and extreme gradient boost (XGBoost) is proposed for integrated energy systems. First, Latin hypercube sampling is used to simulate the load at different moments. Different system states are set up and combined with the simulative load at different moments to determine the system operation state at different moments. Then, the energy flow model is used to calculate the system power flow under different states, and the feature indexes are obtained to form the original data set. Aiming at the unbalanced data, the oversampling technology is used to preprocess data to achieve the balance of data sets. The pre‐processed data is utilised to train the XGBoost, and the optimal hyperparameters of the model are obtained based on the K‐fold cross‐validation and grid search. Finally, the pre‐processed data set is used to verify the proposed method. The calculation results show the accuracy of the identification model reaches 87.79%. Compared with traditional methods, the model can accurately identify the operating state of the electricity–heat energy system at any time section.
An analog‐to‐digital converter calibration algorithm with clock jitter compensation based on bidirectional long‐short‐time‐memory
Authors: Zeng Jialong , Wan Jiangpeng , Chen Dongxu , Yang Xudong , Yu Zhongjun
Published: August 2022

This letter proposes a bidirectional long‐short‐time‐memory (bi‐LSTM)‐based analog‐to‐digital converter (ADC) background calibration method with a clock jitter compensation function. Different from traditional calibration algorithms, the proposed algorithm utilizes the sequence property of the signal by introducing an LSTM network. The network contains three parts, including a linear layer for input encoding, a refine layer for sequence processing, and a linear layer for output decoding. Two ADCs are used to train the network, one of which is the target to be calibrated, that is, a high‐speed high‐resolution ADC, and the other is a low‐speed ultra‐high‐resolution ADC producing the ideal signal. After the training stage, the network can be used as a postprocessor for the target ADC to compensate for the systemic errors and clock jitter, simultaneously. In the experiments, the proposed method is used to calibrate an ADC12D1600RFIUT, realizing the improvement of signal‐to‐noise distortion ratio (SNDR) from 43.41 to 66.82 dB and SFDR from 56.95 to 98.93 dB.
Pedestrians crossing intention anticipation based on dual‐channel action recognition and hierarchical environmental context
Authors: Ni Rongrong , Yang Biao , Wei Zhiwen , Hu Hongyu , Yang Changchun
Published: August 2022

The increase in car ownership has brought convenience to people's lives, but it has also led to a sharp increase in pedestrian–vehicle conflicts. Such conflicts can be avoided by braking when pedestrians in front of the car are detected. However, frequent braking reduces driving comfort and travel efficiency. Considering that pedestrian–vehicle conflicts always occur when pedestrians cross the road, this study proposes a multi‐factor fusion network (MFFN) to anticipate pedestrians' crossing intentions. MFFN contains a dual‐channel action recognition sub‐network to robustly identify pedestrians' actions by adaptively fusing pedestrians' skeleton and representation characteristics. Afterward, object‐level and semantic‐level perception of traffic scenes are realised by a hierarchical graph attention network and a lightweight semantic segmentation method, respectively. These hierarchical environmental contexts can provide critical clues for identifying pedestrians' crossing intentions. Then, a self‐attention mechanism is used to integrate various factors and produce intention identification results. The proposed MFFN is evaluated on public datasets PIE and JAAD. Experimental results show that the proposed method can accurately and reliably identify pedestrian crossing intentions. The accuracy, F1 score, AUC, and precision indicators on JAAD/PIE datasets are 0.912/0.876, 0.813/0.806, 0.896/0.889, and 0.802/0.788, respectively.
Les myosites à éosinophiles idiopathiques
Authors: Fermon Cécile , Authier François-Jérôme , Gallay Laure
Published: August 2022

Les myosites à éosinophiles appartiennent au groupe des myopathies inflammatoires idiopathiques et sont définies par un infiltrat inflammatoire musculaire composé de polynucléaires éosinophiles. Il n’existe pas à ce jour de consensus concernant le diagnostic et le traitement de ces patients. Grâce à une revue exhaustive de la littérature, les principales caractéristiques cliniques et histologiques, ainsi que le traitement et l’évolution des patients, ont été résumés dans cette synthèse. Cette revue a permis de distinguer trois sous-groupes de myosites à éosinophiles : la forme focale, la forme diffuse et les périmyosites à éosinophiles. Un algorithme de traitement et de prise en charge est proposé, et les principaux diagnostics différentiels sont discutés.
Hypertrophie musculaire : signe de bonne santé ou de maladie ?
Authors: Nadaj-Pakleza Aleksandra
Published: August 2022

In order to explain muscle hypertrophy in a patient complaining of muscular symptoms one must take into account the patient’s daily professional or leisure physical activity.

If muscle hypertrophy cannot be attributed to active lifestyle, an underlying neuromuscular pathology should be suspected. The check-up includes a meticulous neurological examination (looking for myotonia, rippling, myoclonus, etc.), a CK level dosage, an electromyography (for myotonic discharges), and, if necessary, it should be completed by muscle biopsy and molecular examinations.

Several diagnostic hypotheses should be considered. Most are related to a genetic defect leading to dysfunction of the excitation-contraction coupling in the muscle. The diagnosis of a myotonic syndrome is the most common but caveolinopathy 3, RYR1-related myopathy or Brody’s disease are also possible.
Les myopathies oculo-pharyngo-distales : des nouvelles maladies à expansions de répétitions CGG
Authors: Boivin Manon , Deng Jianwen , Wang Zhaoxia , Charlet-Berguerand Nicolas
Published: August 2022

La myopathie oculo-pharyngo-distale (OPDM) est une maladie génétique rare de l’adulte affectant les muscles squelettiques du visage, du pharynx et des extrémités des membres. Récemment, des variants dans quatre gènes distincts ont été identifiés comme responsables de cette pathologie. Bien que localisées dans différents gènes, le mécanisme mutationnel est identique, à savoir une expansion de 50 à 200-300 répétitions de triplets de nucléotides CGG. Dans cet article, nous décrivons les aspects cliniques, histopathologiques et génétiques de l’OPDM, ainsi que les mécanismes moléculaires pouvant expliquer la toxicité de ces expansions de répétitions trinucléotidiques.
Das Schwierige wagen
Authors: Schrezenmeier Hubert
Published: August 2022

Die Zeit wird kommen, da unsere Nachkommen sich wundern werden, dass wir so
offenbare Dinge nicht gewusst haben

Seneca d. J.
Pathway Analysis of Patients with Severe Acute Respiratory
Syndrome
Authors: Khaleel Anas , Zakariya Abdullah Bassam , Niazi Mohammad , Qinna Nidal A. , Dayyih Wael Abu , Tarkhan Amneh H.
Published: August 2022

Background Coronaviruses are emerging threats for human health, as
demonstrated by the ongoing coronavirus disease 2019 (COVID-19) pandemic that is
caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).
SARS-CoV-2 is closely related to SARS-CoV-1, which was the cause of the
2002–2004 SARS outbreak, but SARS-CoV-1 has been the subject of a
relatively limited number of studies. Understanding the potential pathways and
molecular targets of SARS-CoV-1 will contribute to current drug repurposing
strategies by helping to predict potential drug-disease associations.

Methods A microarray dataset, GSE1739, of 10 SARS patients and 4 healthy
controls was downloaded from NCBI’s GEO repository, and differential
expression was identified using NCBI’s GEO2R software. Pathway and
enrichment analysis of the differentially expressed genes was carried out using
Ingenuity Pathway Analysis and Gene Set Enrichment Analysis, respectively.

Results Our findings show that the drugs dexamethasone, filgrastim,
interferon alfacon-1, and levodopa were among the most significant upstream
regulators of differential gene expression in SARS patients, while neutrophil
degranulation was the most significantly enriched pathway.

Conclusion An enhanced understanding of the pathways and molecular targets
of SARS-CoV-1 in humans will contribute to current and future drug repurposing
strategies, which are an essential tool to combat rapidly emerging health
threats.
Outcomes of large colorectal polyp endoscopic resections during small audience live endoscopy events with endoscopist at their home endoscopy unit
Authors: El Rahyel Ahmed , Rex Douglas K.
Published: August 2022

Background and study aims Live endoscopy courses are popular. The safety of performing live endoscopy has been questioned. In this study, we compared outcomes of large colorectal polyp resections during live endoscopy events (LEEs) (with a small audience of 2 to 5 physicians) to those removed during standard procedure days (SPDs) (without an audience). All procedures were performed at the endoscopist’s home unit.

Methods Retrospective assessment of the adverse event (AE) and recurrence rates for large ( ≥ 20 mm) non-pedunculated colorectal lesions removed during LEEs. Logistic regression was used to assess whether presence of an audience predicted worse outcomes.

Results From January 2017 to May 2021, 317 lesions were removed with a live audience and 866 were removed on SPDs. Polyp pathology and procedure length were similar in both groups. There were 16 (5.0 %) total adverse events in the LEE group and 30 (3.4 %) in the SPD group (P = 0.224). The majority in both groups were delayed hemorrhage. There were 2 (0.6 %) perforations in the LEE and 3 (0.3 %) in the SPD group. Increasing polyp size was associated with more AEs and higher recurrence. Increasing patient age predicted higher recurrence, and thermal injury of the resection margin predicted lower recurrence. There were no other predictors of AEs or recurrence, including presence of a live audience.

Conclusions Removing large colorectal polyps with a small live audience did not increase adverse outcomes.
Sn(OTf)2-Catalyzed Allylic Substitution of Thiols to Allyl Alcohols: Access to Allyl Sulfides
Authors: Gao Zhenbo , Chen Yibo
Published: August 2022

A novel method for the mild and efficient synthesis of allyl sulfides has been developed with allyl alcohols and thiols as substrates. The desired allyl sulfide was obtained using a catalytic amount of Sn(OTf)2 in dichloromethane at room temperature after a reaction time of 12 hours. A diverse range of allyl sulfides have been obtained with good to excellent yields, including both linear and cyclic derivatives (27 products). Additionally, gram-scale reactions can be easily carried out with only 1 mol% catalyst, giving over 90% yields, which further proves the efficiency of our approach in synthesis. This methodology has both deep research significance and application value, providing a new pathway to access sulfide compounds. We strongly believe our method would be attractive to synthetic chemists and would be widely used in synthetic chemistry.
Analysis of Readmissions and Reoperations in Pediatric Microvascular Reconstruction
Authors: Pires Giovanna R. , Moss Whitney D. , Memmott Stanley , Wright Thomas , Eddington Devin , Brintz Ben J. , Agarwal Jayant P. , Kwok Alvin C.
Published: August 2022

Background Free tissue transfer is utilized as a reconstructive option for various anatomic defects. While it has long been performed in adults, reconstructive surgeons have used free tissue transfer to a lesser degree in children. As such, there are few analyses of factors associated with complications in free tissue transfer within this population. The aim of this study is to assess factors associated with readmission and reoperation in pediatric free flap patients utilizing the pediatric National Surgical Quality Improvement Program database.

Methods Pediatric patients who underwent microvascular reconstruction between 2015 and 2020 were included. Patients were identified by five microvascular reconstruction Current Procedural Terminology codes and were then stratified by flap site (head and neck, extremities, trunk) and defect etiology (congenital, trauma, infection, neoplasm). Multivariate logistic regression was performed to identify factors associated with readmissions and reoperations.

Results The study cohort consisted of 258 patients. The average age was 10.0 ± 4.7 years and the majority of patients were male (n = 149, 57.8%), were of white race (n = 164, 63.6%), and had a normal body mass index. Twenty-two patients (8.5%) experienced an unplanned readmission within 30 days of the initial operation, most commonly for wound disruption (31.8% of readmissions). The overall rate of unplanned reoperation within 30 days was 11.6% (n = 30) for all patients, with an average of 8.9 ± 7.5 days to reoperation. On multivariate regression analysis, each hour increase in operative time was associated with an increased odds of reoperation (odds ratio [OR]: 1.27; 95% confidence interval [CI]: 1.12, 1.45) and readmission (OR: 1.16; 95% CI: 1.02, 1.34).

Conclusion In pediatric patients undergoing free tissue transfer, higher readmission and reoperation risk was associated with longer operative duration. Overall, free tissue transfer is safe in the pediatric population with relatively low rates of readmission and reoperation.