bluuebunny/crossref_metadata_2025_split huggingface dataset:
A self-amplifying RNA RSV prefusion-F vaccine elicits potent immunity in pre-exposed and naïve non-human primates
Authors: Vijayan Aneesh , Vogels Ronald , Groppo Rachel , Jin Yi , Khan Selina , Van Kampen Mirjam , Jorritsma Sytze , Boedhoe Satish , Baert Miranda , van Diepen Harry , Kuipers Harmjan , Serroyen Jan , del Valle Jorge Reyes- , Broman Ann , Nguyen Lannie , Ray Sayoni , Jarai Bader , Arora Jayant , Lifton Michelle , Mildenberg Benjamin , Morton Georgeanna , Santra Sampa , Grossman Tamar R. , Schuitemaker Hanneke , Custers Jerome , Zahn Roland 
Published: November 2024

AbstractNewly approved subunit and mRNA vaccines for respiratory syncytial virus (RSV) demonstrate effectiveness in preventing severe disease, with protection exceeding 80% primarily through the generation of antibodies. An alternative vaccine platform called self-amplifying RNA (saRNA) holds promise in eliciting humoral and cellular immune responses. We evaluate the immunogenicity of a lipid nanoparticle (LNP)-formulated saRNA vaccine called SMARRT.RSV.preF, encoding a stabilized form of the RSV fusion protein, in female mice and in non-human primates (NHPs) that are either RSV-naïve or previously infected. Intramuscular vaccination with SMARRT.RSV.preF vaccine induces RSV neutralizing antibodies and cellular responses in naïve mice and NHPs. Importantly, a single dose of the vaccine in RSV pre-exposed NHPs elicits a dose-dependent anamnestic humoral immune response comparable to a subunit RSV preF vaccine. Notably, SMARRT.RSV.preF immunization significantly increases polyfunctional RSV.F specific memory CD4+ and CD8+ T-cells compared to RSV.preF protein vaccine. Twenty-four hours post immunization with SMARRT.RSV.preF, there is a dose-dependent increase in the systemic levels of inflammatory and chemotactic cytokines associated with the type I interferon response in NHPs, which is not observed with the protein vaccine. We identify a cluster of analytes including IL-15, TNFα, CCL4, and CXCL10, whose levels are significantly correlated with each other after SMARRT.RSV.preF immunization. These findings suggest saRNA vaccines have the potential to be developed as a prophylactic RSV vaccine based on innate, cellular, and humoral immune profiles they elicit.
The role of socio-demographic and psychological factors in shaping individual carbon footprints in Finland
Authors: Sahari Elisa , Salo Marja , Sandman Nils 
Published: November 2024

AbstractHousehold consumption emissions are a major contributor to global greenhouse gas emissions, making them a vital target for emission reductions. While previous research has studied socio-demographic and situational factors in explaining the variation in individuals’ carbon footprints, a more comprehensive exploration of individual drivers, would benefit the development of effective and equitable mitigation policies. The current study examines associations between psychological and socio-demographic factors and carbon footprints of Finnish adults (n = 3,519). Income was found to be the strongest factor explaining the variation in carbon footprints. While environmental attitudes, perceived easiness and perceived importance of climate actions statistically explained differences in carbon footprints, the effect sizes were modest. The factors explaining variation in the carbon footprint varied across different domains (housing, travel, diet, and other consumption of goods and services), with psychological factors having a more substantial effect on diet compared to other domains. Overall, the findings suggest that tailoring policy interventions to reduce emissions from different domains to specific groups and factors could be beneficial. Furthermore, the greatest emission reduction potential lies among higher-income individuals. In the dietary domain, attitude-changing interventions could be more effective, while financial or choice architecture interventions might be better suited for other domains.
Antimicrobial stewardship implementation in primary and secondary tier hospitals in India: interim findings from a need assessment study using mixed method design
Authors: Debnath Falguni , De Rajyasree Ghosh , Chakraborty Debjit , Majumdar Agniva , Mukhopadhyay Sandip , Sarkar Munmun Das , Singh Taru , Patra Sanjit Kumar , Saha Surangana , Rehman Julius , Roy Dhiraj , Chakrabarti Atreyi , Basu Sulagna , Mukhopadhyay Asish Kumar , Mondal Amitabha , Soren Shyamal , Datta Kalpana , Pain Shantasil , Mondal Supreeti Biswas , Mondal Palash , Walia Kamini , Maji Dipankar , Deb Alok Kumar , Dutta Shanta 
Published: November 2024

AbstractAnti-microbial stewardship program (AMSP) is practiced only in tertiary hospitals in India, though, the lower tier hospitals remain the first point of contact in patient care. This study was conducted in lower tier hospitals to calculate antibiotic and multiple antibiotic prescription rate (APR, MPR) for common infections and finding existing strength of health system for optimizing antibiotic prescription. We conducted a cross sectional convergent parallel mix-method study in eight lower tier hospitals of three districts of West Bengal, India. Six hundred OPD prescriptions of UTI, ARI, AUFI, ADD were evaluated. Qualitative data collected through in-depth interviews of medical officers/officers in administrative positions, infection control nurses were analyzed using content analysis method. APR was 63.8% in primary tier hospitals and 60.8% in secondary tier hospitals. The MPR was higher in secondary tier hospital (23.8%). Presence of infection control committee, designated nursing staff, initiation of prescription audit, increased monitoring were identified as few facilitators for future implementation of AMSP in lower tier hospitals. The routine infection control activities of lower tier hospitals are currently delinked from AMR containment measures and thus, customized AMSP needs to be established in these hospitals catering two third of the population of India.
Design-assisted HPLC-UV method for therapeutic drug monitoring of pholcodine, ephedrine, and guaifenesin in biological fluids
Authors: Roshdy Aya , Abdel Salam Randa , Hadad Ghada , Belal Fathallah , Elmansi Heba 
Published: November 2024

AbstractDrug-drug interactions may amplify or diminish their intended effects, or even produce entirely new effects. Multicomponent mixture HPLC analysis offers a thorough and effective method for comprehending the makeup and behavior of complicated materials, advancing research and development across a range of scientific and industrial domains. A novel experimental design-assisted HPLC methodology for the concurrent investigation of the drug-drug interaction of pholcodine, ephedrine, and guaifenesin in biological fluids has been established. Rather than the routine methodology, the application of the factorial design-HPLC method offers a powerful and efficient tool for the analysis of these compounds. Both mixed and full factorial designs were employed to assess the impact of variable factors on chromatographic results. Utilizing an isocratic elution mode on a C18 column, the chromatographic separation was carried out. 15% Methanol, 5% acetonitrile, and 80% phosphate buffer with 0.1%(v/v) triethylamine set to pH 3 make up the mobile phase flowing at rate 1.0 mL/min. The calibration curves of the drugs show excellent linearity over a concentration ranges: 0.20–13.0 µg/mL for PHO, 0.50–20.0 µg/mL for EPH and 0.70–20.0 µg/mL for GUA with LOQ values of 0.18, 0.38 and 0.50. The fast separation and quantitation in less than 6 min is an advantage. Also, the method includes a robust sample preparation protocol for the analysis of complex biological samples, ensuring high selectivity and precision. The ease, speed and cost-effectiveness of the method are ideal for supporting in vitro studies, including drug-drug interaction investigations, especially in bioanalytical labs.
Effect of temperature, nutrients and growth rate on picophytoplankton cell size across the Atlantic Ocean
Authors: Marañón Emilio , Fernández-González Cristina , Tarran Glen A. 
Published: November 2024

AbstractThe cell size of picophytoplankton populations affects their ecology and biogeochemical role, but how different environmental drivers control its variability is still not well understood. To gain insight into the role of temperature and nutrient availability as determinants of picophytoplankton population mean cell size, we carried out five microcosm experiments across the Atlantic Ocean (45°N-27°S) in which surface plankton assemblages were incubated under all combinations of three temperatures (in situ, 3 °C cooling and 3 °C warming) and two nutrient levels (unamended and addition of nitrogen and phosphorus). The overall range of variability in cell volume was 5-fold for Prochlorococcus, 8-fold for Synechococcus and 6-fold for the picoeukaryotes. We observed, in all the treatments and in the control, a consistent trend toward larger mean cell sizes over time for both Prochlorococcus and Synechococcus, which was likely the result of sample confinement. Changes in temperature and nutrient status alone did not cause clear changes in cell size, relative to the control, but the combination of warming and nutrient addition resulted in an increase in Prochlorococcus and Synechococcus cell size. The largest increases in cell volume were associated with slow or negative population net growth rates. Our results emphasize the importance of considering changes in biovolume to obtain accurate estimates of picophytoplankton biomass and suggest that the inverse relationship between growth rate and population mean cell size may be a general pattern in marine phytoplankton.
The impact of humidity on the functional response of Blattisocius Mali (Acari: Blattisociidae) preying on the acarid mite Tyrophagus putrescentiae
Authors: Jena Manoj Kumar , Michalska Katarzyna , Studnicki Marcin 
Published: November 2024

AbstractHumidity influences the life table parameters and foraging behaviours of various terrestrial arthropods. The soil mite, Blattisocius mali Oudemans is a potential biological control agent of some acarid mites, moths, and nematodes. In the current study, we investigated the functional response of B. mali preying on the eggs of the mould mite Tyrophagus putrescentiae Schrank (Acari: Acaridae) at different humidity levels between 33% and 92%. To determine the type of functional response, we used logistic regression and a generalized functional response equation suggested by Real. The functional response parameters were estimated using models proposed by Hassell and Cabello et al. Blattisocius mali exhibited Type II functional response at 33% and Type III at other tested humidities (52%, 72%, 82%, and 92%). The potential for prey mortality (α) was the highest, i.e., 0.05923, and the handling time was the shortest, i.e., 0.00463 day, at 92% humidity, indicating the highest efficiency of B. mali at this humidity. Our findings revealed that B. mali was more efficient at higher humidity levels as compared to lower humidity levels. Humidity affected the predation rate and might have played an important role in stabilizing the predator–prey system by shifting the functional response with humidity.
Association between serum calcium and in-hospital mortality in critically ill atrial fibrillation patients from the MIMIC IV database
Authors: Zheng Xin , Zhang Fenfang , Wang Leigang , Fan Hongxuan , Yu Bing , Qi Xiaogang , Liang Bin 
Published: November 2024

AbstractThongprayoon et al. found in a study of 12,599 non-dialysis adult hospitalized patients that serum calcium (SC) disturbances affected more than half of the patients and were associated with increased in-hospital mortality. Similar impacts of SC disturbances on in-hospital mortality have been observed in patients with acute myocardial infarction and the general hospitalized population. Atrial fibrillation (AF), the most common arrhythmia in the intensive care unit (ICU), affects around 6% of critically ill patients. However, the significance of the relationship between SC levels and in-hospital mortality in these patients remains unclear. This study aimed to explore the correlation between SC levels and in-hospital mortality in ICU patients diagnosed with AF. Data from the MIMIC-IV database included 11,621 AF patients (average age 75.59 ± 11.74 years; 42.56% male), with an in-hospital mortality rate of 8.90%. A nonlinear relationship between SC levels and in-hospital mortality was observed. Effect sizes on either side of the inflection point were 0.79 (HR: 0.79, 95% CI 0.67–0.94, P = 0.006) and 1.12 (HR: 1.12, 95% CI 1.01–1.25, P = 0.029). Sensitivity analyses confirmed these results. SC levels around 8.56 mg/dL were associated with the lowest risk of in-hospital mortality, with risks increasing as SC levels deviated from this point. SC levels below this inflection point were linked to more pronounced clinical impacts. This finding has significant clinical implications for clinicians. Therefore, in the treatment of ICU patients with AF, clinicians should closely monitor SC levels, with a focus on maintaining them around 8.56 mg/dL.
Bound states in the continuum in whispering gallery resonators with pointlike impurities
Authors: Figueroa M. A. , Juričić Vladimir , Orellana P. A. 
Published: November 2024

AbstractWhispering gallery resonators offer a versatile platform for manipulating the photonic transmission. Here, we study such a system, including periodically distributed pointlike impurities along the resonator with ring geometry. Based on an exact expression for the transmission probability we obtain here, we demonstrate that the bound states in the continuum (BICs) form from the whispering gallery modes at the high-symmetry momenta in the ring’s Brillouin zone. Furthermore, the presence of the inversion symmetry allows for a selective decoupling of resonant states, favoring the BIC generation and, therefore, allowing extra tunability in the optical transmission of the system.
Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration
Authors: Liu Ziang , Jian Xiangzhou , Sadiq Touseef , Shaikh Zaffar Ahmed , Alfarraj Osama , Alblehai Fahad , Tolba Amr 
Published: November 2024

AbstractThis paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a modified metaheuristic algorithm, called the Promoted Osprey Optimizer (POO) is used for this purpose. Inspired by the hunting behavior of ospreys, a predatory bird species, the POO algorithm employs various strategies like diving, soaring, and gliding to effectively explore the search space and avoid local optima. To evaluate its performance, the POO-based model has been applied to the IEEE 118-bus and IEEE 57-bus systems, considering different scenarios of EV penetration. The experimental findings demonstrate that the POO algorithm can effectively optimize the reactive power dispatch problem with EV integration, achieving significant reductions in active power losses and voltage deviations toward several existing metaheuristic optimization techniques in different terms. The POO algorithm demonstrates a significant reduction in power loss, achieving up to 22.2% and 16.2% in the 57-bus and 118-bus systems, respectively. This improvement is accompanied by reductions in voltage deviation of up to 20.6% and 15.7%. In the 57-bus system, power loss is reduced from 2.35 MW to 1.93 MW, while voltage deviation decreases from 0.034 p.u. to 0.027 p.u. For the 118-bus system, power loss is lowered from 4.21 MW to 3.53 MW, and voltage deviation is reduced from 0.051 p.u. to 0.043 p.u. Furthermore, the POO algorithm surpasses other optimization methods in minimizing voltage deviation, achieving reductions of up to 0.056 p.u. in the 57-bus system and up to 0.163 p.u. in the 118-bus system. Consequently, the POO algorithm holds great potential as a valuable tool for power system operators and planners to optimize reactive power dispatch and enhance power system performance with EV integration.
Characterization of variably protease-sensitive prionopathy by capillary electrophoresis
Authors: Myskiw Jennifer , Bailey-Elkin Ben A. , Avery Kristen , Barria Marcelo A. , Ritchie Diane L. , Cohen Mark L. , Appleby Brian S. , Booth Stephanie A 
Published: November 2024

AbstractVariably Protease Sensitive Prionopathy (VPSPr) is a rare human prion disease that, like Creutzfeldt-Jakob disease (CJD), results in the deposition of abnormally folded prion protein aggregates in the brain and is ultimately fatal. Neuropathology and clinical features of VPSPr are heterogeneous. However, the key discriminating feature is the relative sensitivity of the pathological prion protein to proteinase digestion compared to that typically seen in other human prion cases. Three major fragments of 23, 17 and 7 kDa are characteristic of the disease following digestion with proteinase K. We recently reported the utility of the highly adaptive and reproducible ProteinSimple™ capillary electrophoresis (CE) system to perform protein separation of PK digested prion protein in CJD. Consequently, we explored capillary-based electrophoresis (CE) technology as a sensitive method to detect and characterize VPSPr in a cohort of 29 cases. The unique 7 kDa fragment has high intensity, particularly in cases with the codon 129 VV genotype, but can be missed by regular Western blotting due to the small size. However, this fragment is readily detected by CE in all cases. In addition, the flexibility of CE produced highly reproducible, semi-quantitative data for determining relative proteinase K sensitivity and epitope mapping of representative cases from each codon 129 genotype (VV, MV and MM).
Exploring the mental health of young people in households and schools in Gorongosa District, Center of Mozambique
Authors: Igreja Victor , Axelsen Taryn , Brekelmans Alana 
Published: November 2024

AbstractThe mental health needs of young people in sub-Saharan African societies remain understudied. This study builds upon the everyday perspectives of young people in Gorongosa, a rural district in central Mozambique, to determine the frequency and severity of key mental health issues, identify significant risk and protective factors, and their associations with demographic factors and mental health predictors. This cross-sectional study gathered culturally and ecologically relevant variables, such as sociodemographic indicators and risk and protective factors. The Beck Depression Inventory-II (BDI-II), Self-Report Questionnaire (SRQ) and Nocturnal Intrusions after Traumatic Experiences Questionnaire (NITE) were used to determine the prevalence and severity of key mental health issues. A convenience sampling was used involving n = 794 young people of those (45.8%) were females and the mean age of all participants was 17.24 years (SD 2.9). To examine the results, univariate analysis, chi-square tests, binary logistic regression analyses and odds ratio were used. Risk factors were pervasive in households, communities, and schools. Mental health problems were commonly linked to severe depression (14.2%), anxiety-related disorders (39.3%), sleep disturbances (37.3%), and anxiety dreams (27.5%). Gender, age, and protective factors were associated with the frequency and severity of mental health outcomes, while living with both parents protected against the severity of anxiety-related disorders. Understanding the contextual mental health needs of young people in rural Mozambique is crucial for developing insights to craft and implement targeted public mental health interventions in resource-limited settings. Addressing mental health issues among young people necessitates a concentrated effort on understanding and managing the interplay of risks and protective factors within families, communities, and schools.
Effect of very low-carbohydrate high-fat diet and high-intensity interval training on mental health-related indicators in individuals with excessive weight or obesity
Authors: Sindler Dominik , Dostal Tomas , Litschmannova Martina , Hofmann Peter , Knapova Lenka , König Laura Maria , Elavsky Steriani , Cipryan Lukas 
Published: November 2024

AbstractVery low carbohydrate high fat (VLCHF) diet and high-intensity interval training (HIIT) are widely utilized for weight reduction and cardiorespiratory fitness improvement, respectively. To assess the acceptability of these approaches, it is essential to examine mental health-related indicators. This secondary analysis of a randomized controlled trial investigated the isolated and synergistic effects of VLCHF and HIIT on mental health-related indicators in individuals with excessive weight or obesity. Sixty-eight participants (age = 42 ± 10.2; 20–60 years; BMI = 29.8 ± 3.7) were analysed across four groups: HIIT (n = 15, 4 males, 11 females), VLCHF (n = 19, 4 males, 15 females), VLCHF + HIIT (n = 19, 4 males, 15 females), and control (n = 15, 4 males, 11 females). The 12-week intervention, involved VLCHF diet or HIIT sessions, depending on group affiliation and completing online questionnaires via Qualtrics software before and after the intervention. The questionnaires included the 12-item Short Form Survey (SF-12) for mental (MHS) and physical health scores (PHS), the Satisfaction with Life Scale (SWLS), and the Perceived Stress Scale (PSS). Using the Kruskal–Wallis test, we found no significant differences in mental health-related indicators between groups after 12 weeks, except for SWLS (p = 0.031; ES = 0.133; medium), which improved significantly in the VLCHF + HIIT group compared to the HIIT group. Our findings indicate that HIIT and VLCHF, alone or combined, do not significantly affect mental health-related indicators.
An experimental demonstration of neuromorphic sensing of chemical species using electro-optical reservoir computing
Authors: Anufriev Gleb , Furniss David , Farries Mark C. , Seddon Angela B. , Phang Sendy 
Published: November 2024

AbstractA chemical discrimination system based on photonic reservoir computing is demonstrated experimentally for the first time. The system is inspired by the way humans perceive and process visual sensory information. The electro-optical reservoir computing system is a photonic analogue of the human nervous system with the read-out layer acting as the ‘brain’, and the sensor that of the human eye. A task-specific optimisation of the system is implemented, and the performance of the system for the discrimination between three chemicals is presented. The results are compared to the previously published numerical simulation (Anufriev et al. in Opt Mater Express 12:1767–1783, 2022, 10.1364/OME.449036). This publication provides a feasibility assessment and a demonstration of a practical realisation of photonic reservoir computing for a new neuromorphic sensing system - the next generation sensor with a built-in ‘intelligence’ which can be trained to ‘understand’ and to make a real time sensing decision based on the training data.