bluuebunny/crossref_metadata_2025_split huggingface dataset:
Results of German external quality assessment schemes for SARS-CoV-2 antigen detection
Authors: Vierbaum Laura , Wojtalewicz Nathalie , Grunert Hans-Peter , Zimmermann Anika , Scholz Annemarie , Goseberg Sabine , Kaiser Patricia , Duehring Ulf , Drosten Christian , Corman Victor , Niemeyer Daniela , Rabenau Holger F. , Obermeier Martin , Nitsche Andreas , Michel Janine , Puyskens Andreas , Huggett Jim F. , O’Sullivan Denise M. , Busby Eloise , Cowen Simon , Vallone Peter M. , Cleveland Megan H. , Falak Samreen , Kummrow Andreas , Schellenberg Ingo , Zeichhardt Heinz , Kammel Martin 
Published: August 2023

AbstractThe COVID-19 pandemic illustrated the important role of diagnostic tests, including lateral flow tests (LFTs), in identifying patients and their contacts to slow the spread of infections. INSTAND performed external quality assessments (EQA) for SARS-CoV-2 antigen detection with lyophilized and chemically inactivated cell culture supernatant of SARS-CoV-2 infected Vero cells. A pre-study demonstrated the suitability of the material. Participants reported qualitative and/or quantitative antigen results using either LFTs or automated immunoassays for five EQA samples per survey. 711 data sets were reported for LFT detection in three surveys in 2021. This evaluation focused on the analytical sensitivity of different LFTs and automated immunoassays. The inter-laboratory results showed at least 94% correct results for non-variant of concern (VOC) SARS-CoV-2 antigen detection for viral loads of ≥ 4.75 × 106 copies/mL and SARS-CoV-2 negative samples. Up to 85% had success for a non-VOC viral load of ~ 1.60 × 106 copies/mL. A viral load of ~ 1.42 × 107 copies/mL of the Delta VOC was reported positive in > 96% of results. A high specificity was found with almost 100% negative SARS-CoV-2 antigen results for HCoV 229E and HCoV NL63 positive samples. Quantitative results correlated with increasing SARS-CoV-2 viral load but showed a broad scatter. This study shows promising SARS-CoV-2 antigen test performance of the participating laboratories, but further investigations with the now predominant Omicron VOC are needed.
Automation of structural health monitoring (SHM) system of a bridge using BIMification approach and BIM-based finite element model development
Authors: Fawad Muhammad , Salamak Marek , Poprawa Grzegorz , Koris Kalman , Jasinski Marcin , Lazinski Piotr , Piotrowski Dawid , Hasnain Muhammad , Gerges Michael 
Published: August 2023

AbstractThis research focuses on the automation of an existing structural health monitoring system of a bridge using the BIMification approach. This process starts with the Finite Element Analysis (FEA) of an existing bridge for the numerical calculations of static and dynamic parameters. The validation of the FE model and existing SHM system was carried out by the field load testing (Static and dynamic) of the bridge. Further, this study tries to fill the research gap in the area of automatic FE model generation by using a novel methodology that can generate a BIM-based FE model using Visual Programming Language (VPL) scripts. This script can be exported to any FE software to develop the geometry of the FE model. Moreover, the SHM devices are deployed to the Building Information modelling (BIM) model of the bridge to generate the BIM-based sensory model (as per the existing SHM system). In this way, the BIM model is used to manage and monitor the SHM system and control its sensory elements. These sensors are then linked with the self-generated (Internet of Things) IoT platform (coded in Arduino), developing a smart SHM system of the bridge. Resultantly, the system features visualisation and remote accessibility to bridge health monitoring data.
Revisiting nonlinearity of heart rate variability in healthy aging
Authors: Calderón-Juárez Martín , González-Gómez Gertrudis Hortensia , Echeverría Juan C. , Lerma Claudia 
Published: August 2023

AbstractAging is commonly regarded as a physiological process in which the dynamic complexity of physiological time series and organ systems is gradually lost. This notion is derived from the identification of a decline of nonlinear measures with the advance of aging. However, additional research on cardiovascular control studied through heart rate variability (HRV), i.e., the instantaneous changes in heart rate, shows that despite the constriction of its statistical distribution, the nonlinear organization remains present in advanced age. Here, we used surrogate data testing to investigate the presence of nonlinear information in HRV time series from a publicly available database of 1121 healthy human subjects from 18 to 92 years old. We also studied the influence of basic clinical features, such as sex, body mass index (BMI), and mean heart rate (HR), on such nonlinear information. We found that the percentage of nonlinear time series after 30 years of age diminishes significantly (p < 0.01). Furthermore, larger BMI and HR are associated with the presence of more linear information in HRV, while the female sex is associated with the manifestation of nonlinear information. This work provides a common background for the contextualized interpretation of nonlinear testing and shows that the nonlinear content of HRV time series diminishes through aging.
Effects of nature on restorative and cognitive benefits in indoor environment
Authors: Rhee Jee Heon , Schermer Brian , Han Gisung , Park So Yeon , Lee Kyung Hoon 
Published: August 2023

AbstractThis study investigates the effects of natural exposure in an indoor environment on restorative quality and cognitive ability. Thirty participants were shown nature at three different indoor sites: baseline, indoor (some vegetation), and semi-indoor (a large amount of vegetation and view to sky) for five minutes. After viewing, they completed an assessment of restoration and a cognitive task, and their electroencephalography (EEG) was recorded. Compared to the baseline, the sites with nature resulted in restorative (higher perceived restoration scores) and cognitive (higher working memory performance and lower delta-to-theta ratio (DTR), delta-to-alpha ratio (DAR), theta-to-beta ratio (TBR), and alpha-to-beta ratio (ABR) responses) benefits. These findings further our understanding of the effects of exposure to nature on restorative and cognitive benefits in an indoor environment, and help to build guidance for future research on the effects of nature indoors and designing restorative- and cognitive-enhancing indoor spaces.
Digital infrared thermal imaging of udder skin surface temperature: a novel non-invasive technology to monitor calving process in Murrah buffalo (Bubalus bubalis)
Authors: Teja Allu , Sakthivel Jeyakumar , Ananda Rao K. , Kumaresan Arumugam , Ramesha K. P. , Krishnaswamy Narayanan , Gowtham Varma C. , Sivaram M. , Lavanya Maharajan , Gowdar Veerappa Vedamurthy , Kataktalware Mukund A. , Das D. N. , Majumder Kaushik , Rajbangshi Niribili 
Published: August 2023

AbstractQuantifiable decline in the maternal body temperature during the pre-calving offers the possibilities for predicting the calving that can improve the calving management. As infrared thermography (IRT) is a simple non-contact tool for precise measurement of surface temperature, we investigated the use of IRT to establish thermal signatures around calving in the Murrah buffalo. The IRT of eye, right lateral, left lateral and rear side of udder skin surface temperature (USST) were recorded at 6 h interval from 96 h before the expected date of calving, at the time of calving and 24 h post-calving in Murrah buffaloes (n = 28). In parallel, blood samples were collected for progesterone (P4) assay. The results revealed that the IRT of the eye, right and left lateral and rear side of USST showed a significant decrease in the temperature from 48 h pre-calving till the onset of calving with a ΔT (°C) of 0.56, 0.91, 0.70, and 0.90, respectively. Mean USST significantly declined from 48 h pre-calving with a ΔT of 0.85 °C. The residual temperature of both eye and various ROI of the udder also followed a similar and significant declining trend from 48 to 0 h of calving indicating that circadian influence on the USST was minimum. Plasma P4 concentration significantly decreased from 72 h pre-calving till calving. It is concluded that a marked reduction in the IRT of the USST at 6–12 h pre-calving would be useful in predicting the onset of calving in the Murrah buffalo.
Adipose-derived mesenchymal stem cell therapy for reverse bleomycin-induced experimental pulmonary fibrosis
Authors: Zhao Xiansheng , Wu Jinyan , Yuan Ruoyue , Li Yue , Yang Quyang , Wu Baojin , Zhai Xiaowen , Wang Jiucun , Magalon Jérémy , Sabatier Florence , Daumas Aurélie , Zhu Winston M. , Zhu Ningwen 
Published: August 2023

AbstractIdiopathic pulmonary fibrosis (IPF) is a chronic, progressive respiratory disease. Arguably, the complex interplay between immune cell subsets, coupled with an incomplete understanding of disease pathophysiology, has hindered the development of successful therapies. Despite efforts to understand its pathophysiology and develop effective treatments, IPF remains a fatal disease, necessitating the exploration of new treatment options. Mesenchymal stromal/stem cell (MSC) therapy has shown promise in experimental models of IPF, but further investigation is needed to understand its therapeutic effect. This study aimed to assess the therapeutic effect of adipose-derived mesenchymal stem cells in a bleomycin-induced pulmonary fibrosis model. First, MSC cells were obtained from mice and characterized using flow cytometry and cell differentiation culture methods. Then adult C57BL/6 mice were exposed to endotracheal instillation of bleomycin and concurrently treated with MSCs for reversal models on day 14. Experimental groups were evaluated on days 14, 21, or 28. Additionally, lung fibroblasts challenged with TGF-β1 were treated with MSCs supernatant or MSCs to explore the mechanisms underlying of pulmonary fibrosis reversal. Mesenchymal stem cells were successfully isolated from mouse adipose tissue and characterized based on their differentiation ability and cell phenotype. The presence of MSCs or their supernatant stimulated the proliferation and migration of lung fibrotic cells. MSCs supernatant reduced lung collagen deposition, improved the Ashcroft score and reduced the gene and protein expression of lung fibrosis-related substances. Bleomycin-challenged mice exhibited severe septal thickening and prominent fibrosis, which was effectively reversed by MSCs treatment. MSC supernatant could suppress the TGF-β1/Smad signaling pathway and supernatant promotes fibroblast autophagy. In summary, this study demonstrates that MSCs supernatant treatment is as effective as MSCs in revert the core features of bleomycin-induced pulmonary fibrosis. The current study has demonstrated that MSCs supernatant alleviates the BLM-induced pulmonary fibrosis in vivo. In vitro experiments further reveal that MSC supernatant could suppress the TGF-β1/Smad signaling pathway to inhibit the TGF-β1-induced fibroblast activation, and promotes fibroblast autophagy by Regulating p62 expression. These findings contribute to the growing body of evidence supporting the therapeutic application of MSCs in cell therapy medicine for IPF.
Chromatin remodeling factor, INO80, inhibits PMAIP1 in renal tubular cells via exchange of histone variant H2A.Z. for H2A
Authors: Miura Rika , Mimura Imari , Saigusa Hanako , Yamazaki Tomotaka , Tanemoto Fumiaki , Kurata Yu , Sato Dai , Tanaka Tetsuhiro , Nangaku Masaomi 
Published: August 2023

AbstractEpigenetic modifications such as DNA methylation, histone modifications, and chromatin structures in the kidney contribute towards the progression of chronic kidney disease (CKD). In this study, the role of chromatin remodeling factor inositol requiring 80 (INO80) was investigated. Although INO80 regulates transcription by altering the chromatin structure at the nucleosome level, its role in the kidney remains unknown. We demonstrated that the expression of INO80 in impaired kidneys decreased in rats with unilateral urethral obstruction. We investigated INO80 expression in a proximal tubular cell line and observed that its expression decreased under hypoxic condition. Additionally, INO80 knockdown promoted apoptosis, suggesting that INO80 plays a role in inhibiting tubular cell apoptosis. We identified downstream target genes of INO80 via genome-wide analysis using RNA-sequences and found that the expression of apoptosis-related genes, such as TP53 and E2F1, and pro-apoptotic genes, such as PMAIP1, increased upon INO80 knockdown. ChIP-qPCR of the loci of PMAIP1 showed that the amount of H2A.Z. increased instead of decreasing the amount of H2A when INO80 was knocked down. These results indicated that INO80 plays a role in the exchange of H2A.Z. for H2A in the promoter region of PMAIP1 in tubular cells to inhibit apoptosis during CKD progression.
Nondestructive quality assessment and maturity classification of loquats based on hyperspectral imaging
Authors: Feng Shunan , Shang Jing , Tan Tao , Wen Qingchun , Meng Qinglong 
Published: August 2023

AbstractThe traditional method for assessing the quality and maturity of loquats has disadvantages such as destructive sampling and being time-consuming. In this study, hyperspectral imaging technology was used to nondestructively predict and visualise the colour, firmness, and soluble solids content (SSC) of loquats and discriminate maturity. On comparison of the performance of different feature variables selection methods and the calibration models, the results indicated that the multiple linear regression (MLR) models combined with the competitive adaptive reweighting algorithm (CARS) yielded the best prediction performance for loquat quality. Particularly, CARS-MLR models with optimal prediction performance were obtained for the colour (R2P = 0.96, RMSEP = 0.45, RPD = 5.38), firmness (R2P = 0.87, RMSEP = 0.23, RPD = 2.81), and SSC (R2P = 0.84, RMSEP = 0.51, RPD = 2.54). Subsequently, distribution maps of the colour, firmness, and SSC of loquats were obtained based on the optimal CARS-MLR models combined with pseudo-colour technology. Finally, on comparison of different classification models for loquat maturity, the partial least square discrimination analysis model demonstrated the best performance, with classification accuracies of 98.19% and 97.99% for calibration and prediction sets, respectively. This study demonstrated that the hyperspectral imaging technique is promising for loquat quality assessment and maturity classification.
Contacting individual graphene nanoribbons using carbon nanotube electrodes
Authors: Zhang Jian , Qian Liu , Barin Gabriela Borin , Daaoub Abdalghani H. S. , Chen Peipei , Müllen Klaus , Sangtarash Sara , Ruffieux Pascal , Fasel Roman , Sadeghi Hatef , Zhang Jin , Calame Michel , Perrin Mickael L. 
Published: August 2023

AbstractGraphene nanoribbons synthesized using bottom-up approaches can be structured with atomic precision, allowing their physical properties to be precisely controlled. For applications in quantum technology, the manipulation of single charges, spins or photons is required. However, achieving this at the level of single graphene nanoribbons is experimentally challenging due to the difficulty of contacting individual nanoribbons, particularly on-surface synthesized ones. Here we report the contacting and electrical characterization of on-surface synthesized graphene nanoribbons in a multigate device architecture using single-walled carbon nanotubes as the electrodes. The approach relies on the self-aligned nature of both nanotubes, which have diameters as small as 1 nm, and the nanoribbon growth on their respective growth substrates. The resulting nanoribbon–nanotube devices exhibit quantum transport phenomena—including Coulomb blockade, excited states of vibrational origin and Franck–Condon blockade—that indicate the contacting of individual graphene nanoribbons.
Measuring human cerebral blood flow and brain function with fiber-based speckle contrast optical spectroscopy system
Authors: Kim Byungchan , Zilpelwar Sharvari , Sie Edbert J. , Marsili Francesco , Zimmermann Bernhard , Boas David A. , Cheng Xiaojun 
Published: August 2023

AbstractCerebral blood flow (CBF) is crucial for brain health. Speckle contrast optical spectroscopy (SCOS) is a technique that has been recently developed to measure CBF, but the use of SCOS to measure human brain function at large source-detector separations with comparable or greater sensitivity to cerebral rather than extracerebral blood flow has not been demonstrated. We describe a fiber-based SCOS system capable of measuring human brain activation induced CBF changes at 33 mm source detector separations using CMOS detectors. The system implements a pulsing strategy to improve the photon flux and uses a data processing pipeline to improve measurement accuracy. We show that SCOS outperforms the current leading optical modality for measuring CBF, i.e. diffuse correlation spectroscopy (DCS), achieving more than 10x SNR improvement at a similar financial cost. Fiber-based SCOS provides an alternative approach to functional neuroimaging for cognitive neuroscience and health science applications.
Caenorhabditis elegans foraging patterns follow a simple rule of thumb
Authors: Madirolas Gabriel , Al-Asmar Alid , Gaouar Lydia , Marie-Louise Leslie , Garza-Enríquez Andrea , Rodríguez-Rada Valentina , Khona Mikail , Dal Bello Martina , Ratzke Christoph , Gore Jeff , Pérez-Escudero Alfonso 
Published: August 2023

AbstractRules of thumb are behavioral algorithms that approximate optimal behavior while lowering cognitive and sensory costs. One way to reduce these costs is by simplifying the representation of the environment: While the theoretically optimal behavior may depend on many environmental variables, a rule of thumb may use a smaller set of variables that performs reasonably well. Experimental proof of this simplification requires an exhaustive mapping of all relevant combinations of several environmental parameters, which we performed forCaenorhabditis elegansforaging by covering systematically combinations of food density (across 4 orders of magnitude) and food type (across 12 bacterial strains). We found that worms’ response is dominated by a single environmental variable: food density measured as number of bacteria per unit surface. They disregard other factors such as biomass content or bacterial strain. We also measured experimentally the impact on fitness of each type of food, determining that the rule is near-optimal and therefore constitutes a rule of thumb that leverages the most informative environmental variable. These results set the stage for further investigations into the underlying genetic and neural mechanisms governing this simplification process, and into its role in the evolution of decision-making strategies.
Photoinduced edge-specific nanoparticle decoration of two-dimensional tungsten diselenide nanoribbons
Authors: Murastov Gennadiy , Aslam Muhammad Awais , Tran Tuan-Hoang , Lassnig Alice , Watanabe Kenji , Taniguchi Takashi , Wurster Stefan , Nachtnebel Manfred , Teichert Christian , Sheremet Evgeniya , Rodriguez Raul D. , Matkovic Aleksandar 
Published: August 2023

AbstractMetallic nanoparticles are widely explored for boosting light-matter coupling, optoelectronic response, and improving photocatalytic performance of two-dimensional (2D) materials. However, the target area is restricted to either top or bottom of the 2D flakes. Here, we introduce an approach for edge-specific nanoparticle decoration via light-assisted reduction of silver ions and merging of silver seeds. We observe arrays of the self-limited in size silver nanoparticles along tungsten diselenide WSe2 nanoribbon edges. The density of nanoparticles is tunable by adjusting the laser fluence. Scanning electron microscopy, atomic force microscopy, and Raman spectroscopy are used to investigate the size, distribution, and photo-response of the deposited plasmonic nanoparticles on the quasi-one-dimensional nanoribbons. We report an on-surface synthesis path for creating mixed-dimensional heterostructures and heterojunctions with potential applications in opto-electronics, plasmonics, and catalysis, offering improved light matter coupling, optoelectronics response, and photocatalytic performance of 2D materials.
Fundamentals of Inorganic and Organometallic Polymer Science
Authors: Agatemor Christian , Ghosal Kajal , Fura Samuel , Foot Peter J S 
Published: August 2023

Inorganic and organometallic polymers feature many attractive properties that are useful for the design of diverse functional materials. Emphasising concepts that inform polymer design, synthesis and applications, readers of this book will gain a complete understanding of the introduction to inorganic and organometallic polymer science that will further their studies in materials science, chemistry and engineering.
The first chapter lays down the core concepts that the book builds from, including polymerisation and naming conventions. It also reveals why some organometallic polymers are better suited than organic polymers in certain applications. Subsequent chapters discuss the chemistry of metals in particular the transition metals as they relate to polymer properties, before walking the reader through in-depth chapters on synthesis, structure, properties, characterization, and examples of inorganic and organometallic polymers. The final chapter presents applications of these polymers in diverse fields ranging from biomedicine, energy to catalysis. Worked examples and exercises are provided at the end of each chapter to assist students in assessing their understanding of these concepts, and journal references are included to direct students to published literature related to inorganic and organometallic polymers.
Ideal for lecturers teaching a one semester advanced undergraduate and graduate courses in polymer science, as well as for self-study researchers and industrial chemists that are working with polymers, this book provides the user with a complete and expert grounding to the field.
Conversation Analysis of Texting Exchanges in Aphasia
Authors: Azios Jamie H. , Lee Jaime B. , Cherney Leora R. 
Published: August 2023

Purpose:Conversation analysis (CA) is an established method that has been used to understand how aphasia impacts the conversational success of individuals with aphasia (IWAs) and their conversation partners. This article demonstrates CA as a valuable analytic tool for studying text messaging in aphasia to better understand the specific co-constructed actions of IWAs and their partners as they engage in this communication modality.Method:CA was applied to transcribed text message data from eight IWAs. Conversational structures present in face-to-face interactions were identified, segmented, and explicated with a focus on how IWAs and their partners negotiate interaction in this medium.Results:Three key elements of CA, namely, sequential organization, repair, and topic negotiation, were identified within the texting exchanges of participants and their texting partners and compared with existing CA studies on electronic messaging in adults without brain injury.Conclusions:Findings suggest a multitude of strategies that IWAs and their partners used to meet both transactional and interactional goals of communication. Understanding gained from applying CA to texting in aphasia can inform the development of interventions that improve access to digital communication for IWAs.