bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of frailty syndrome on humoral response to SARS-CoV-2 mRNA vaccines in older kidney transplant recipients
Authors: Schmalz Michal , Vankova Hana , Rajnochova-Bloudickova Silvie , Hruba Petra , Fialova Martina , Gurka Jiri , Magicova Maria , Striz Ilja , Zahradka Ivan , Viklicky Ondrej 
Published: April 2023

Abstract
Purpose
Advanced age is associated with an impaired humoral immune response to SARS-CoV-2 mRNA vaccination in kidney transplant recipients (KTR). The mechanisms are, however, poorly understood. Frailty syndrome assessment may determine the most vulnerable population.

Methods
This study is a secondary analysis of a prospective study (NCT04832841) regarding seroconversion after BNT162b2 vaccination, including 101 SARS-CoV-2 naïve KTR 70 years and older. The Fried frailty components were evaluated, and antibodies against S1 and S2 subunits of SARS-CoV-2 were examined > 14 days after the second dose of BNT162b2 vaccine.

Results
Seroconversion was observed in 33 KTR. Male gender, eGFR, MMF-free immunosuppression, and a lower frailty score were associated with higher seroconversion rates in univariable regression. Concerning frailty components, physical inactivity had the most negative effect on seroconversion (OR = 0.36, 95% CI 0.14–0.95, p = 0.039). In a multivariable regression adjusted for eGFR, MMF-free immunosuppression, time from transplant and gender, pre-frail (OR = 0.27, 95% CI 0.07–1.00, p = 0.050), and frail status (OR = 0.14, 95% CI 0.03–0.73, p = 0.019) were associated with an increased risk of unresponsiveness to SARS-CoV-2 vaccines.

Conclusion
Frailty was associated with an impaired humoral response to SARS-CoV-2 mRNA vaccination in older SARS-CoV-2 naïve KTR.

Trail registration
This study is registered under the identifier NCT04832841 on ClinicalTrials.gov.
Hepatitis E Virus RNA Detection from Hunted Wild Boars in Central Italy: an Epidemiological Investigation
Authors: Ferri Gianluigi , Giantomassi Giorgia , Piccinini Andrea , Olivastri Alberto , Vergara Alberto 
Published: April 2023

AbstractEvery year, foodborne pathogens, including the hepatitis E virus (HEV), cause thousands of infections in different continents. Final consumers become infected through the ingestion of contaminated animal origin foodstuffs. Generally, in industrialized countries, HEV genotype 3 is involved in sporadic outbreaks. Infections have been described, in Europe and Japan as consequence of pork products and contaminated wild boar’s primary or processed products (liver and muscle tissues) consumption. In Central Italy, hunting activities are largely practiced. In these small and rural communities, game meat and liver are ingested by hunters’ families or at local and traditional restaurants. Therefore, these food chains can be considered critical HEV reservoirs. In this study, 506 liver and diaphragm tissues were collected from hunted wild boars in the Southern Marche region (Central Italy) and were screened for HEV RNA detection. From the 10.87% of liver and 2.76% of muscle samples, HEV3 subtype c was discovered. The observed prevalence values resulted in line with previous investigations performed in other Central Italian regions, but higher than Northern ones (3.7% and 1.9% from liver tissue). Therefore, the obtained epidemiological data highlighted the wide occurrence of HEV RNA circulation in a low-investigated area. Basing on results, a One-health approach was adopted due to the sanitary relevance of this Public Health concern.
Experimental evaluation of the flow resistance of CO2 foam fracturing fluids and simulation prediction for fracture propagation
Authors: Wang Mingwei , Wu Wen , Chen Shuyang , Li Song , Li Tao , Ni Gensheng , Fu Yu , Zhou Wen 
Published: April 2023

AbstractShale gas fracturing requires huge amounts of water, but most well pads are located mainly in hilly areas where water is scarce. Water supply issues have limited the industrialization of shale gas development. CO2 foam fracturing fluids can meet the requirements for large-scale hydraulic fracturing of shale gas and relieve pressure on water resources. Friction calculations of CO2 foam fracturing fluids in conduit flow are key to the reliability of overall fracturing procedures, affecting fracture targeting and reservoir stimulation effects. Through the analysis of the experimental data of carbon dioxide foam fracturing fluid flow under the simulated reservoir conditions, the influence of pressure, temperature, shear rate, foam quality and other factors on the friction characteristics of CO2 foam fracturing fluid was obtained, and the mathematical calculation model of the friction coefficient of CO2 foam fracturing fluid was established, and the pipe string friction and bottom hole pressure during the fracturing process were obtained, Thus, the shape and extension behavior of hydraulic fractures in the process of carbon dioxide foam fracturing in shale reservoir are simulated and predicted, which provides a theoretical basis for effective evaluation of fracturing effect.
Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna
Authors: Shankar Anand , Sahana Bikash Chandra 
Published: April 2023

AbstractExtremely low visibility affects aviation services. Aviation services need accurate fog and low-visibility predictions for airport operations. Fog and low-visibility forecasting are difficult even with modern numerical weather prediction models and guiding systems. Limitations in comprehending the micro-scale processes that lead to fog formation, intensification, onset, and dissipation complicate fog prediction. This article predicts low visibility for Jay Prakash Narayan International Airport (JPNI), Patna, India, using a historical synoptic dataset. The proposed machine learning (ML) approaches optimize three meta-algorithm approaches: boosting (which reduces variances), bagging (which reduces bias), and stacking (which improves predictive forces). The ML approaches optimize the best prediction algorithms (at level 0) for fog (surface visibility ≤ 1000 m) and dense fog (surface visibility ≤ 200 m), and the suggested ensemble models at level 1 (an ensemble of level 0 ML approaches) deliver the highest performance and stability in prediction output. All time series perform well with the specified model (6-h to 1-h lead time for any combination of observed historical datasets). Airport management, planning, and decision-making rely on high reliability. Because it works well and is reliable, the proposed approaches can be used at other airports in India's Indo-Gangetic Plain.
CD34 Stem Cell Boost in Pediatric Allogeneic Stem Cell Transplant Recipients: A Case Series and Review of Literature
Authors: Bowman Sara , Stanek Joe , Bajwa Rajinder , Polishchuk Veronika , Abu-Arja Rolla , Rangarajan Hemalatha G. 
Published: April 2023

AbstractPatients with poor graft function (PGF) or declining donor chimerism (DC) post allogeneic hematopoietic cell transplantation (HCT) may benefit from a CD34-selected stem cell boost (SCB). We retrospectively studied outcomes of fourteen pediatric patients (PGF: 12 and declining DC: 2), with a median age of 12.8 (range 0.08–20.6) years at HCT, who received a SCB. Primary and secondary endpoints included resolution of PGF or improvement in DC (≥ 15% increase), overall survival (OS) and transplant-related mortality (TRM), respectively. The median CD34 dose infused was 7.47 × 106/kg (range 3.51 × 106–3.39 × 107/kg). Among patients with PGF who survived ≥ 3 months post-SCB (n = 8), we observed a non-significant decrease in the cumulative median number of red cell transfusions, platelet transfusions, and GCSF but not intravenous immunoglobulin doses in the 3 months before and after SCB. Overall response rate (ORR) was 50%, with 29% complete and 21% partial responses. ORR was better in recipients who received lymphodepletion (LD) pre-SCB versus none (75% versus 40%; p = 0.56). The incidence of acute and chronic graft-versus-host-disease was 7% and 14%, respectively. The 1-year OS was 50% (95% CI 23–72%) and TRM was 29% (95% CI 8–58%). SCB was effective in half of our cohort with possible benefit of LD pre-SCB.
Analytical investigation of multi-layered rollable displays considering nonlinear elastic adhesive interfaces
Authors: Han Sang Hyun , Shin Jun Hyuk , Choi Su Seok 
Published: April 2023

AbstractTo design the multilayered structures of reliable rollable displays, finite element method (FEM) investigations are conducted at various rolling conditions. Given that the optically clear adhesive (OCA) is the only flexible component and interfacial layer that plays an important role in allowing flexibility in rollable displays, we investigated its nonlinear elastic properties in detail. Hereto, FEM of rollable displays have been limited and inaccurate because OCA has been assumed to be a linear elastic material. In addition, despite the fact that rolling deformation exhibits complex bending characteristics, unlike folding, the mechanical behaviors over the entire area of rollable displays at all positions have not yet been addressed. In this study, we describe the dynamic and mechanical characteristics of rollable displays at all positions considering the hyperelastic and viscoelastic properties of OCA. The maximum normal strain of the rollable displays was applied about 0.98%, and the maximum shear strain of the OCA was shown to be around 720%. To assess the stability of the rollable displays, normal and yield strains were compared to each layer and investigated. Consequently, mechanical modeling of the rollable displays was conducted and stable rolling behaviors that did not cause permanent deformation were investigated.
Physiologic dead space is independently associated with mortality and discharge of mechanically ventilated patients with COVID-19 ARDS: a retrospective study
Authors: Mollura Maximiliano , Baroncelli Francesca , Mandelli Giulia , Tricella Giovanni , Weissman Gary E. , Poole Daniele , Caironi Pietro , Celi Leo Anthony , Barbieri Riccardo , Finazzi Stefano 
Published: April 2023

AbstractPhysiologic dead space is a well-established independent predictor of death in patients with acute respiratory distress syndrome (ARDS). Here, we explore the association between a surrogate measure of dead space (DS) and early outcomes of mechanically ventilated patients admitted to Intensive Care Unit (ICU) because of COVID-19-associated ARDS. Retrospective cohort study on data derived from Italian ICUs during the first year of the COVID-19 epidemic. A competing risk Cox proportional hazard model was applied to test for the association of DS with two competing outcomes (death or discharge from the ICU) while adjusting for confounders. The final population consisted of 401 patients from seven ICUs. A significant association of DS with both death (HR 1.204; CI 1.019–1.423; p = 0.029) and discharge (HR 0.434; CI 0.414–0.456; p$$< 0.001$$

<
0.001

) was noticed even when correcting for confounding factors (age, sex, chronic obstructive pulmonary disease, diabetes, PaO$$_{2}$$

2

/FiO$$_{2}$$

2

, tidal volume, positive end-expiratory pressure, and systolic blood pressure). These results confirm the important association between DS and death or ICU discharge in mechanically ventilated patients with COVID-19-associated ARDS. Further work is needed to identify the optimal role of DS monitoring in this setting and to understand the physiological mechanisms underlying these associations.
Clinical outcomes of renin angiotensin system inhibitor-based dual antihypertensive regimens in chronic kidney disease: a network meta-analysis
Authors: Cho Miseung , Choi Chang-Young , Choi Yeo Jin , Rhie Sandy Jeong 
Published: April 2023

AbstractThis study comprehensively investigated clinical outcomes associated with renin angiotensin system inhibitor-based dual antihypertensive regimens in non-dialysis chronic kidney disease (CKD) patients. Keyword searches of databases were performed per PRISMA-NMA guidelines. Frequentist network meta-analysis were conducted with 16 head-to-head randomized controlled trials. The effect sizes of dichotomous and continuous variables were estimated with odds ratio (OR) and standard mean differences (SMD), respectively. The protocol is registered in PROSPERO (CRD42022365927). Dual antihypertensive regimens with combination of angiotensin receptor blockers (ARB) and calcium channel blockers (CCB) demonstrated substantially reduced odd of major cardiovascular disease (CVD) events over other regimens including angiotensin converting enzyme inhibitor (ACEI) monotherapy (OR 3.19) and ARB monotherapy (OR 2.64). Most significant reductions in systolic (SBP) and diastolic blood pressure (DBP) were observed with ARB-based CCB dual regimen over ACEI monotherapy (SMD 17.60 SBP and 9.40 for DBP), ACEI-based CCB regimen (SMD 12.90 for SBP and 9.90 for DBP), and ARB monotherapy (SMD 13.20 for SBP and 5.00 for DBP). However, insignificant differences were noticed for the odds of hyperkalemia, end stage renal disease progression, and all-cause mortality. ARB-based CCB regimen has the greatest benefits on BP reduction as well as major CVD risks in non-dialysis CKD patients.
Enabling chlorophyll photo-response for in-line real-time noninvasive direct probing of the quality of palm-oil during mill process
Authors: Tan Eddie Khay Ming , Tiong Soon Huat , Adan Dalina , Md. Zain Mohd Zairey bin , Md Rejab Syahril Anuar , Baharudin Mohd. Shafril , Loy Hao Chih , Tok Eng Soon , Tok Wee Lee , Appleton David Ross , Teh Huey Fang 
Published: April 2023

AbstractDuring the milling process of palm oil, the degree of palm fruit ripeness is a critical factor that affects the quality and quantity of the oil. As the palm fruit matures, its chlorophyll level decreases, and since chlorophyll in oil has undesirable effects on hydrogenation, bleachability, and oxidative degradation, it’s important to monitor the chlorophyll content in palm oil during the milling process. This study investigated the use of light-induced chlorophyll fluorescence (LICF) for non-invasive and real-time monitoring of chlorophyll content in diluted crude palm oil (DCO) located at the dilution and oil classification point in palm oil mill. An LICF probe was installed at the secondary pipe connected to main DCO pipeline, and the system communicates with a computer located in a separate control room via a Wi-Fi connection. Continuous measurements were recorded with an integration time of 500 ms, averaging of 10, and a time interval of 1 min between each recording during the oil mill’s operation. All data were stored on the computer and in the cloud. We collected 60 DCO samples and sent them to the laboratory for American Oil Chemists’ Society (AOCS) measurement to compare with the LICF signal. The LICF method achieved a correlation coefficient of 0.88 with the AOCS measurements, and it also provided a direct, quantitative, and unbiased assessment of the fruit ripeness in the mill. By incorporating Internet of Things (IoT) sensors and cloud storage, this LICF system enables remote and real-time access to data for chemometrics analysis.
The combination of rolipram and cilostamide improved the developmental competence of cloned porcine embryos
Authors: Tanga Bereket Molla , Fang Xun , Bang Seonggyu , Seo Chaerim , Kang Heejae , Cha Dabin , Qamar Ahmad Yar , Shim Joohyun , Choi Kimyung , Saadeldin Islam M. , Lee Sanghoon , Cho Jongki 
Published: April 2023

AbstractIn vitro maturation of porcine oocytes is characterized by asynchronous cytoplasmic and nuclear maturation, leading to less competent oocytes supporting embryo development. The purpose of this study was to evaluate the combined effect of rolipram and cilostamide as cyclic Adenine monophosphate (cAMP) modulators to find the maximum cAMP levels that temporarily arrest meiosis. We determined the optimal time to maintain functional gap junction communication during pre-in vitro maturation to be four hours. Oocyte competence was evaluated by the level of glutathione, reactive oxygen species, meiotic progression, and gene expression. We evaluated embryonic developmental competence after parthenogenetic activation and somatic cell nuclear transfer. The combined treatment group showed significantly higher glutathione and lower reactive oxygen species levels and a higher maturation rate than the control and single treatment groups. Cleavage and blastocyst formation rates in parthenogenetic activation and somatic cell nuclear transfer embryos were higher in two-phase in vitro maturation than in the other groups. The relative levels of BMP15and GDF9 expression were increased in two-phase in vitro maturation. Somatic cell nuclear transfer blastocysts from two-phase in vitro maturation oocytes showed a lower level of expression of apoptotic genes than the control, indicating better pre-implantation developmental competence. The combination of rolipram and cilostamide resulted in optimal synchrony of cytoplasmic and nuclear maturation in porcine in vitro matured oocytes and there by enhanced the developmental competence of pre-implantation embryos.
Calves peak-end memory of pain
Authors: Ede Thomas , Woodroffe Raphaela E. , von Keyserlingk Marina A. G. , Weary Daniel M. 
Published: April 2023

AbstractIn humans, the ‘peak-end’ rule states that recollection of an experience is most often influenced by the peak (the most intense moment) and end of the experience. We investigated whether calves followed the peak-end rule in their memory of a painful procedure: disbudding. As proxies for retrospective and ‘real-time’ reports of pain, we used conditioned place aversion, and reflex pain behaviours. In two separate trials, calves were subjected to two disbudding conditioning sessions (one horn per treatment), acting as their own control. In the first trial, calves (n = 22) were disbudded and remained in a pen for 4 h, and disbudded and left in another pen for 4 h with an additional 2 h following an analgesic treatment. In the second trial, calves (n = 22) were disbudded and left in pens for 6 h during both treatments, receiving the analgesic at either 2 h or 4 h after disbudding. Calves were then tested for place aversion. For both trials we did not observe a preference for the pens where calves received analgesic treatment towards the end of the session. We did not find an association between aversion and the sum, peak or end of pain behaviours. Results are not consistent with a peak-end effect in calves’ memory of pain.
Lung microbiome and cytokine profiles in different disease states of COPD: a cohort study
Authors: Xue Qing , Xie Yu , He Yukun , Yu Yan , Fang Guiju , Yu Wenyi , Wu Jianhui , Li Jiwei , Zhao Lili , Deng Xinyu , Li Ran , Wang Fang , Zheng Yali , Gao Zhancheng 
Published: April 2023

AbstractIncreasing evidence indicates that respiratory tract microecological disorders may play a role in the pathogenesis of chronic obstructive pulmonary disease (COPD). Understanding the composition of the respiratory microbiome in COPD and its relevance to respiratory immunity will help develop microbiome-based diagnostic and therapeutic approaches. One hundred longitudinal sputum samples from 35 subjects with acute exacerbation of COPD (AECOPD) were analysed for respiratory bacterial microbiome using 16S ribosomal RNA amplicon sequencing technology, and the sputum supernatant was analysed for 12 cytokines using a Luminex liquid suspension chip. Unsupervised hierarchical clustering was employed to evaluate the existence of distinct microbial clusters. In AECOPD, the respiratory microbial diversity decreased, and the community composition changed significantly. The abundances ofHaemophilus,Moraxella,Klebsiella, andPseudomonasincreased significantly. Significant positive correlations between the abundance ofPseudomonasand TNF-α, abundance ofKlebsiellaand the percentage of eosinophils were observed. Furthermore, COPD can be divided into four clusters based on the respiratory microbiome. AECOPD-related cluster was characterized by the enrichment ofPseudomonasandHaemophilusand a high level of TNF-α.LactobacillusandVeillonellaare enriched in therapy-related phenotypes and may play potential probiotic roles. There are two inflammatory endotypes in the stable state:Gemellais associated with the Th2 inflammatory endotypes, whereasPrevotellais associated with the Th17 inflammatory endotypes. Nevertheless, no differences in clinical manifestations were found between these two endotypes. The sputum microbiome is associated with the disease status of COPD, allowing us to distinguish different inflammatory endotypes. Targeted anti-inflammatory and anti-infective therapies may improve the long-term prognosis of COPD.
Automatic detection of circulating tumor cells and cancer associated fibroblasts using deep learning
Authors: Shen Cheng , Rawal Siddarth , Brown Rebecca , Zhou Haowen , Agarwal Ashutosh , Watson Mark A. , Cote Richard J. , Yang Changhuei 
Published: April 2023

AbstractCirculating tumor cells (CTCs) and cancer-associated fibroblasts (CAFs) from whole blood are emerging as important biomarkers that potentially aid in cancer diagnosis and prognosis. The microfilter technology provides an efficient capture platform for them but is confounded by two challenges. First, uneven microfilter surfaces makes it hard for commercial scanners to obtain images with all cells in-focus. Second, current analysis is labor-intensive with long turnaround time and user-to-user variability. Here we addressed the first challenge through developing a customized imaging system and data pre-processing algorithms. Utilizing cultured cancer and CAF cells captured by microfilters, we showed that images from our custom system are 99.3% in-focus compared to 89.9% from a top-of-the-line commercial scanner. Then we developed a deep-learning-based method to automatically identify tumor cells serving to mimic CTC (mCTC) and CAFs. Our deep learning method achieved precision and recall of 94% (± 0.2%) and 96% (± 0.2%) for mCTC detection, and 93% (± 1.7%) and 84% (± 3.1%) for CAF detection, significantly better than a conventional computer vision method, whose numbers are 92% (± 0.2%) and 78% (± 0.3%) for mCTC and 58% (± 3.9%) and 56% (± 3.5%) for CAF. Our custom imaging system combined with deep learning cell identification method represents an important advance on CTC and CAF analysis.
Insulator–metal transition in CrSiTe3 triggered by structural distortion under pressure
Authors: Musfeldt J. L. , Mandrus D. G. , Liu Z. 
Published: April 2023

Abstractvan der Waals solids are well known to host remarkable phase diagrams with competing phases, unusual energy transfer processes, and elusive states of matter. Among this class of materials, chalcogenides have emerged as the most flexible and relevant platforms for unraveling charge–structure–function relationships. In order to explore the properties of complex chalcogenides under external stimuli, we measured the far infrared spectroscopic response of CrSiTe3 under extreme pressure–temperature conditions. Analysis of the 368 cm−1 Si–Te stretching mode and the manner in which it is screened by the closure of the indirect gap reveals that the insulator–metal transition takes place immediately after the structural phase transition—once the mixed phase aspect of the lattice distortion is resolved. At the same time, the two-phase region associated with the structural transition widens with decreasing temperature, and the slope of the insulator–metal transition under pressure is consistent with increasing entropy. These trends completely revise the character of the temperature–pressure phase diagram as well as the relationship between the structural and insulator–metal transitions, leading to a critical nexus of activity that may hide a quantum critical point and allow superconductivity to emerge.