bluuebunny/crossref_metadata_2025_split huggingface dataset:
Seismic vulnerability assessment of steel storage tanks protected through sliding isolators
Authors: Gabbianelli Giammaria , Milanesi Riccardo R. , Gandelli Emanuele , Dubini Paolo , Nascimbene Roberto 
Published: April 2023

AbstractAn adequate seismic protection of steel storage tanks of industrial, chemical and petrochemical plants is essential since potential consequences of failures, besides the economic losses, can be catastrophic for the environment and for people living nearby. Among the most common damages suffered by steel tanks in recent earthquakes, there are the elephant‐foot‐buckling of the perimeter wall and the tanks’ uplift or overturning. Due to the uncertainties related to the estimation of the mechanical properties of filled tanks and related seismic loads (i.e. dynamic overpressures generated by the content), conventional design approaches may lead to unsafe or, on the contrary, oversized solutions. Among effective alternatives, base isolation through Curved Surface Slider isolators (CSSs) offers some valuable advantages like high load bearing and displacement capacity with compact dimensions, independence of the oscillation period on the supported mass, and minimisation of torsional effects. Despite being neglected by most common commercial FEM codes, as a drawback, recent studies pointed out that the initial peak of friction force at CSSs’ motion breakaway can lead to significantly increased lateral deformations and accelerations of the superstructure. Within this framework in this study, a refined numerical model is developed in OpenSees FEM code, and an exhaustive parametric study is carried out to investigate the effect of the breakaway on isolated tanks providing some useful insights for the selection of the most suitable isolators.
Development of a pH‐sensing indicator for shrimp freshness monitoring: Curcumin and anthocyanin‐loaded gelatin films
Authors: Mohseni‐Shahri Fatemeh S. , Moeinpour Farid 
Published: April 2023

AbstractAn intelligent pH‐sensing indicator containing Roselle (Hibiseus sabdariffa L.) (RS) anthocyanin and curcumin (CR) was developed and characterized as on‐package indicator tags to check the freshness of shrimp during the storage at 4°C. FE‐SEM and FT‐IR analysis showed that RS and CR were successfully immobilized in the gelatin–glycerol film‐forming substrate. The addition of various natural dyes increased the thickness and antioxidant action of the colorimetric film. To assess the response to changes in the pH, the colorimetric film was immersed in different buffers. Based on volatile amines secreted by shrimp, a test application of a colorimetric film containing natural dyes at a ratio of CR:RS = 1:4 (v/v) was conducted in shrimp at 4°C. The total volatile basic nitrogen (TVB‐N) and the pH of shrimp were monitored during refrigerated storage for 10 days, and the color changes of the indicator were recorded simultaneously. The results indicated that the designed colorimetric film could produce various colors, which are thought to be indicative of the freshness and spoilage of packaged shrimp. Therefore, the target film can be utilized as a promising smart packaging material for monitoring the freshness of shrimp and aquatic products in real time.
Standardizing analysis of intra‐tumoral heterogeneity with computational pathology
Authors: Paliwal Ameesha , Faust Kevin , Alshoumer Azhar , Diamandis Phedias 
Published: April 2023

AbstractMany malignant cancers like glioblastoma are highly adaptive diseases that dynamically change their regional biology to survive and thrive under diverse microenvironmental and therapeutic pressures. While the concept of intra‐tumoral heterogeneity has become a major paradigm in cancer research and care, systematic approaches to assess and document bio‐variation in cancer are still in their infancy. Here we discuss existing approaches and challenges to documenting intra‐tumoral heterogeneity and emerging computational approaches that leverage artificial intelligence to begin to overcome these limitations. We propose how these emerging techniques can be coupled with a diversity of molecular tools to address intra‐tumoral heterogeneity more systematically in research and in practice, especially across larger specimens and longitudinal analyses. Systematic documentation and characterization of heterogeneity across entire tumor specimens and their longitudinal evolution has the potential to improve our understanding and treatment of cancer.
Feed profile analysis of oil palm‐integrated beef cattle farming systems by metabolic energy budgeting and implications for beef production and pastoral system design
Authors: Gobilik Januarius , Baco Hasbudie , Kabul Mohd. Azid , Dollah Suhaimi , Morris Stephen T. , Matthew Cory 
Published: April 2023

AbstractBackgroundOil palm is a tropical crop with worldwide plantings approaching 20 million ha and large areas in Indonesia, Malaysia and Thailand. The plantations are readily managed as silvopastoral systems incorporating cattle grazing (Oil Palm Silvopastoral System for Cattle, OPSC) but there is a need for analytical tools and data to understand system herbage supply and feed conversion efficiency (FCE).MethodsMetabolic energy budgeting was used to estimate herbage harvested by cattle in three OPSC subsystems, 9 and 12 years after oil palm establishment, and FCE of the subsystems was determined. Understorey herbage was also analysed for nutritive value, botanical composition and herbage accumulation within one grazing‐regrowth cycle.ResultsThe herbage‐harvested estimate was 2.0−2.4 t dry matter (DM) ha−1 year−1 for 9 year old subsystems and 1.4−1.7 t DM ha−1 year−1 for a 12 year old subsystem. Herbage metabolisable energy (ME) was 8.3−8.5 MJ kg−1 DM and crude protein (CP) was 15%−16% DM. FCE values for subsystems ranged from 32 to 94 kg DM kg−1 liveweight‐gain.ConclusionsHerbage DM yield is declining, while herbage ME is marginal but CP is adequate. FCE is suboptimal but can be optimised by defining the trajectory of declining herbage production with canopy closure as plantations age and matching stocking rate to herbage supply using a comparative‐stocking‐rate‐type statistic.
Cognition, body, and mind: A three‐in‐one coordinate‐based fMRI meta‐analysis on cognitive, physical, and meditative trainings
Authors: Lo Presti Sara , Origlia Sara , Gianelli Claudia , Canessa Nicola 
Published: April 2023

AbstractWhile mounting evidence shows promising effects of brain training on cognitive functioning in healthy and pathological conditions, the spread of variable training approaches highlights the need to compare their efficacy and identify their neural correlates, representing possible targets for neuromodulation treatments. We performed coordinate‐based functional magnetic resonance imaging meta‐analyses to compare the neural correlates and the cognitive outcomes of cognitive (n = 22), physical (n = 22), and meditative (n = 20) training in healthy non‐expert individuals. Pre/post‐training cognitive metrics improved after cognitive and physical training, but their heterogeneity, or even the lack of these measurements in some studies, highlights the need of more structured protocols. Cognitive, physical, and meditative interventions increased brain activity in distinct fronto‐medial areas likely mediating training effects on cognitive, action, and attentional control, respectively. The modular, training‐specific, engagement of a region that is known to mediate feedback‐based learning provides cues for boosting brain training via combined interventions that might jointly outperform their individual effects.
Depression, anxiety, stress levels and five‐factor personality traits as predictors of clinical medical students' migration intention: A cross‐sectional study of brain drain
Authors: Sancak Barış , Selek Serra Nur , Sarı Efe 
Published: April 2023

AbstractPhysician migration has a profound impact on healthcare systems and can be caused by many reasons. One of the most important healthcare‐related problems in Turkey recently is the increasing migration trends of physicians. Although many studies have investigated physician migration's social and political determinants, the psychological factors that may yield this trend have not been adequately studied. It is aimed to examine the relationship between clinical term medical students' intention to migrate and temporary factors such as depression, anxiety, stress, as well as persistent factors such as personality traits in this study. After questioning the migration intentions and possible related determinants of 575 students participating in our study, Depression Anxiety Stress Scale‐21 and Five‐Factor Personality Inventory were applied. While 46.3% of the participants had the intention to migrate, 53.7% planned to live in Turkey in the long term. Higher depression and stress levels are significantly associated with migratory intention. Identifying oneself as man, having a partner, high‐stress levels, high openness, and low agreeableness traits were found to be major predictors of migration intention. Our study shows that besides many sociological studies on this subject, the investigation of psychological factors has an important role to understand the recent physician migration.
Temporal dynamics and fatality of SARS‐CoV‐2 variants in Bangladesh
Authors: Rahman M. Shaminur , Hoque M. Nazmul , Chowdhury Susmita Roy , Siddique Md. Moradul , Islam Ovinu Kibria , Galib Syed Md. , Islam Md. Tanvir , Hossain M. Anwar 
Published: April 2023

AbstractBackground and AimsSince the beginning of the SARS‐CoV‐2 pandemic, multiple new variants have emerged posing an increased risk to global public health. This study aimed to investigate SARS‐CoV‐2 variants, their temporal dynamics, infection rate (IFR) and case fatality rate (CFR) in Bangladesh by analyzing the published genomes.MethodsWe retrieved 6610 complete whole genome sequences of the SARS‐CoV‐2 from the GISAID (Global Initiative on Sharing all Influenza Data) platform from March 2020 to October 2022, and performed different in‐silico bioinformatics analyses. The clade and Pango lineages were assigned by using Nextclade v2.8.1. SARS‐CoV‐2 infections and fatality data were collected from the Institute of Epidemiology Disease Control and Research (IEDCR), Bangladesh. The average IFR was calculated from the monthly COVID‐19 cases and population size while average CFR was calculated from the number of monthly deaths and number of confirmed COVID‐19 cases.ResultsSARS‐CoV‐2 first emerged in Bangladesh on March 3, 2020 and created three pandemic waves so far. The phylogenetic analysis revealed multiple introductions of SARS‐CoV‐2 variant(s) into Bangladesh with at least 22 Nextstrain clades and 107 Pangolin lineages with respect to the SARS‐CoV‐2 reference genome of Wuhan/Hu‐1/2019. The Delta variant was detected as the most predominant (48.06%) variant followed by Omicron (27.88%), Beta (7.65%), Alpha (1.56%), Eta (0.33%) and Gamma (0.03%) variant. The overall IFR and CFR from circulating variants were 13.59% and 1.45%, respectively. A time‐dependent monthly analysis showed significant variations in the IFR (p = 0.012, Kruskal–Wallis test) and CFR (p = 0.032, Kruskal–Wallis test) throughout the study period. We found the highest IFR (14.35%) in 2020 while Delta (20A) and Beta (20H) variants were circulating in Bangladesh. Remarkably, the highest CFR (1.91%) from SARS‐CoV‐2 variants was recorded in 2021.ConclusionOur findings highlight the importance of genomic surveillance for careful monitoring of variants of concern emergence to interpret correctly their relative IFR and CFR, and thus, for implementation of strengthened public health and social measures to control the spread of the virus. Furthermore, the results of the present study may provide important context for sequence‐based inference in SARS‐CoV‐2 variant(s) evolution and clinical epidemiology beyond Bangladesh.
Characterization of the lung microbiome and inflammatory cytokine levels in women exposed to environmental risk factors: A pilot study
Authors: Morales‐González Fernando , Lira‐Lucio Juan A. , Falfán‐Valencia Ramcés , Márquez‐García José E. , Abarca‐Rojano Edgar , Ramírez‐Venegas Alejandra , Sansores Raúl H. , García‐Gómez Leonor , Hernández‐Pérez Andrea , Pérez‐Rubio Gloria 
Published: April 2023

AbstractIntroductionLung microbiome dysbiosis affects the immune system balance and promotes lung inflammation. We aimed to characterize and compare the lung bacteriome composition and the cytokine profile in women with normal lung function exposed to risk factors for chronic lung diseases (tobacco smoking and biomass‐burning smoke exposure).MethodsWe included women with biomass‐burning smoke exposure (BE, n = 11) and current smokers women (TS, n = 10). The bacteriome composition was performed in induced sputum, sequencing the 16 rRNA gene. Cytokine levels were measured using enzyme‐linked immunosorbent assay multiplex assay in the supernatant of induced sputum. For quantitative variables, we used medians and minimum and maxim values. For the amplicon sequence variants (ASV) differential abundance testing between groups.ResultsAt the taxa level, the phylum Proteobacteria was found in a higher proportion in the TS group concerning BE (p = .045); however, after the false discovery rate adjustment, this difference was not retained (p = .288). We found a higher concentration of IL‐1β in the TS group than in the BE group (248.6 vs. 177.9 pg/mL, p = .010). Women with high biomass‐burning smoke exposure in an hour per day had a positive correlation with the abundance of Bacteroidota (ρ = 0.71, p = .014) and Fusobacteriota (ρ = 0.73, p = .011). FEV1/FVC had a positive correlation with an abundance of Bacteroidota, Proteobacteria, and Fusobacteria (ρ = 0.74, p = .009, ρ = 0.85, p = .001, and ρ = 0.83, p = .001, respectively). In tobacco smoking, women had a positive correlation (ρ = 0.77, p = .009) between cigarettes per day and Firmicutes' abundance.ConclusionCompared to biomass‐burning smoke‐exposed women, current smokers have poor lung function and high levels of IL‐1β in sputum. Women with biomass‐burning smoke exposure present an increased abundance of Bacteroidota and Fusobacteriota.
Controlling the assembly of soy β‐conglycinin to fabricate heat‐stable particles for high protein liquid systems
Authors: Zheng Xiaohan , Zou Bowen , Ren Chao , Xu Xianbing , Du Ming , Wu Chao 
Published: April 2023

AbstractBACKGROUNDRecently, there is a growing interest in developing protein‐fortified liquid systems, which are formulated to provide special nutrient combinations to those with special dietary needs. The fabrication of heat‐stable protein for protein‐fortified liquid systems relies heavily on precise control of the edible protein‐building process.RESULTSResults suggested that heat‐stable 7S protein particles (7SPPs) could be obtained by preheating at 100 °C for an extended time, whereas 7S proteins with better gelling properties were discovered after preheating at lower temperatures. According to the findings of the protein conformational and morphological characterization, the 7SPPs showed rather stable tertiary and secondary structures as well as size distributions, which might be responsible for their heat stability. Additionally, during the reheating test, suspensions of 7SPPs showed no signs of gelation and had a low viscosity even though the protein content was as high as 120 mg mL−1. However, 7S proteins with improved gelling properties were found to show rising aggregate size, higher susceptibility and larger conformational structure changing rates upon reheating treatment.CONCLUSIONSoy β‐conglycinin (7S) proteins with tunable heat stability were successfully prepared by preheating 10 mg mL−1 protein dispersions at various temperatures (80–120 °C) and durations (15–120 min). These findings provide fundamental insights for developing 7S‐based protein‐fortified systems. © 2023 Society of Chemical Industry.
Inherent Adaptivity of Alzheimer Peptides to Crowded Environments
Authors: De Sio Silvia , Waegele Jana , Bhatia Twinkle , Voigt Bruno , Lilie Hauke , Ott Maria 
Published: April 2023

AbstractAmyloid β (Aβ) is the major constituent in senile plaques of Alzheimer's disease in which peptides initially undergo structural conversions to form elongated fibrils. The impact of crowding on the fibrillation pathways of Aβ40 and Aβ42, the most common peptide isoforms are studied. PEG and Ficoll are used as model crowders to mimic a macromolecular enriched surrounding. The fibrillar growth is monitored with the help of ThT‐fluorescence assays in order to extract two rates describing primary and secondary processes of nucleation and growth. Techniques as fluorescence correlation spectroscopy and analytical ultracentrifugation are used to discuss oligomeric states; fibril morphologies are investigated using negative‐staining transmission electron microscopy. While excluded volume effects imposed by macromolecular crowding are expected to always increase rates of intermolecular interactions and structural conversion, a vast variety of effects are found depending on the peptide, the crowder, or ionic strength of the solution. While investigations of the obtained rates with respect to a reactant‐occluded model are capable to display specific surface interactions with the crowder, the employment of crystallization‐like models reveal the crowder‐induced entropic gain with J mol−1 per volume fraction of the crowder.
National evaluation of harm associated with patient safety incident reports related to the provision of parenteral nutrition to patients, using a national incident reporting system
Authors: Mistry Priya , Fox Andy , Latter Sue 
Published: April 2023

AbstractBackgroundParenteral nutrition (PN)–related patient safety incidents have been associated with harm. Large‐scale studies are scarce, and little is known about contributory factors. This study evaluated PN‐related incident reports that described harm using a national database.Materials and MethodsA retrospective evaluation of incident reports involving PN in England and Wales reported to the National Reporting and Learning System between 2015 and 2020. We described frequency by degree of reported harm and incident characteristics. Content analysis was undertaken to understand contributory factors for reports related to moderate/severe harm or death.Results12,907 incident reports were identified. After screening, 2242 were evaluated; 1879 (83.8%) reported no harm, 309 (13.8%) low harm, 47 (0.02%) moderate harm, 4 (0.002%) severe harm, 3 (0.001%) deaths. The most reported age group, medication process, and error category were neonates (<28 days) (n = 570/1923, 29.6%), administration (n = 1126/2242, 50%), and omitted medication/ingredient (n = 291/2242, 13%), respectively. Content analysis of reports related to moderate/severe harm and death revealed patient age of <1 year, dependence on home PN (HPN), comorbidities, and staff errors as contributory factors.ConclusionsThis is the first evaluation of PN‐related incident reports in England and Wales to our knowledge. We demonstrated a low frequency of reports related to moderate or severe harm or death. More incidents were reported for neonates and during the administration processes. To reduce harm, systems/procedures that reduce errors in high‐risk patients (eg, neonates, patients receiving HPN) need to be established within organizations. Database limitations of voluntary reporting systems were recognized.
The relationship between dietary patterns and insomnia in young women
Authors: Karbasi Samira , Asadi Zahra , Mohaghegh Zabihullah , Saeedi Farhad , Ferns Gordon A. , Bahrami Afsane 
Published: April 2023

AbstractAimThere is mounting evidence that eating habits affect sleeping patterns and their quality. The goal of this study was to evaluate the associations between major dietary patterns, identified using principal component analysis (PCA) and insomnia in young women.MethodsThe study subjects comprised 159 healthy young women aged 18–25 years. Neuropsychological assessment was performed using standard instruments, including a cognitive ability questionnaire (CAQ), depression and anxiety stress scales (DASS‐21), insomnia severity index (ISI), Epworth sleepiness scale (ESS), and quality of life questionnaire (QLQ). Dietary patterns were obtained from a 65‐item validated food frequency questionnaire (FFQ) in this study, using PCA.ResultsTwo major dietary patterns were identified that were termed: “Traditional” and “Western.” The Western pattern was characterized by a high intake of snacks, nuts, dairy products, tea, fast foods, chicken, and vegetable oils. Subjects with moderate/severe insomnia were found to have lower scores for total cognitive ability task, nocturnal sleep hours, and physical and mental health, but higher scores for depression, anxiety, stress, and daytime sleepiness compared to those without insomnia (p < 0.05). After adjustment for potential confounders, high adherence to the Western dietary pattern was associated with higher odds of insomnia (OR = 5.9; 95% confidence intervals: 1.9–18.7; p = 0.003).ConclusionOur findings indicated adherence to Western pattern may increase the odds of insomnia. Prospective research is required to determine the feasibility of targeting dietary patterns to decrease the odds of insomnia.
Coupled model biases and extended‐range prediction skill during the onset phase of the Indian summer monsoon with different initializations related to land surface and number of observations
Authors: Gautam Pratibha , Chattopadhyay Rajib , Joseph Susmitha , Martin Gill M. , Sahai Atul K. 
Published: April 2023

AbstractIn this study, we have analyzed the role of the initialization in the forecast of the monsoon onset phase beyond 10 days lead time (i.e., in the extended range) to understand the impact of displacement or shift in initial conditions in the extended‐range forecast. Two displacement errors are considered: (a) the initial error arising due to a change in land surface initial conditions and (b) the initial error arising due to a change in the number of observations. For the first part (a), we have analyzed and compared the difference in prediction skills in the United Kingdom Met Office (UKMO) GloSea5 forecasts run with two different land surface initial conditions (IC) configurations. In one configuration, the IC is prepared using a monthly land surface climatology; in the other configuration, it is based on daily land surface reanalysis. In the other part (b), we used the Indian Institute of Tropical Meteorology's Climate Forecast System (IITM_CFS) model with two different ICs (NCEP and NCMRWF differing in the number of observations over the Indian land region). Both runs indicate a shift in the initial condition, which manifests as displacement error. UKMO and IITM_CFS runs have the same land surface model when the corresponding twin experiments are compared in (a) and (b). Analysis of the initial displacement errors from these runs indicates that improving the realism in the land surface initial conditions can effectively modulate or change the surface meteorological fields in the prediction model during the onset phase. The result shows that the rotational and divergence components of the surface winds differ in the two sets of runs. Results also indicate that the difference in surface initialization manifests as differences in rotational and divergent kinetic energy. This could lead to a difference in the forecast of monsoon onset rain. Further analysis also suggests that the local land surface initial condition error, in addition to an error in large‐scale teleconnections, affects the monsoon onset forecast and its prediction skill in the extended‐range time‐scale.