bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanical, Swelling, and Thermal Properties of Geopolymer Mixture Containing Basic Oxygen Furnace Slag Aggregates
Authors: Tukaziban Aizhan , Shon Chang-Seon , Orynbassarov Islam , Sandybay Saken , Syzdykov Daniyar , Zhang Dichuan , Kim Jong Ryeol 
Published: July 2022

Abstract
Basic oxygen furnace slag (BOFS) is a waste product generated during steel production. The utilization of BOFS in construction applications is considerably limited because of its inherent characteristics leading to volumetric expansion behavior caused by the chemical reaction between free lime (f-CaO) and water. The main objective of this paper is to investigate the material properties of normal mortar and geopolymer mixtures that contain BOFS aggregates. Three different aggregates were used to compare their performance, including siliceous river sand, fresh BOFS aggregate (within 1-month age), and stockpiled (more than 5-year age) BOFS aggregate. Test methods included a compressive strength test, accelerated mortar bar expansion test, and thermal conductivity test. Test results revealed that (1) geopolymer mixtures containing BOFS aggregate had comparable compressive strength with mortar mixture with river sand, (2) geopolymer mixtures have very low volume expansion, (3) thermal conductivity of geopolymer mixtures having both river sand and BOFS was lower than normal cement mortar mixture containing river sand. Therefore, geopolymer technology seems a key solution for converting BOFS slag into valuable construction materials. Therefore, a geopolymer mixture containing BOFS aggregate can be used as an energy-saving material.
Energy Analysis of Semi-transparent Building Integrated Photovoltaic Window in Hyderabad, India Using Automated Parametric Simulations
Authors: Raihan Md Anam , Chattopadhyay Kuntal , Bhatia Aviruch , Garg Vishal , Hussain Aftab M 
Published: July 2022

Abstract
In recent years, semi-transparent building-integrated photovoltaics (BIPV) technology has attracted attention for its renewable energy utilization. This research aims to develop a methodology for assessing the energy-saving potential of semi-transparent photovoltaic (STPV) window, which has a complex relationship with daylighting and air conditioning (AC) electricity consumption. A case study has been developed for the composite climate of Hyderabad, India. The study examines four commercially available single and double pane STPV windows and similar non-photovoltaic windows. For evaluation, an automated parametric simulation tool was developed to compute the net electricity consumption (NEC) for a representative model building with different window systems, and several window-to-wall ratios (WWR) and orientations. The result shows benefit in adopting the STPV window system across all directions and higher optimal WWR in STPV window as compared to normal window with the same opto-thermal characteristics.
A Potential Solution for Solid Particulate Matter Reduction in Large Indoor Spaces
Authors: Alustath Husam , Daou Batoul , Elgohary Sherif , Kataw Mohammad , Kianmehr Peiman , Marzbali Mason 
Published: July 2022

Abstract
Air filtration is an essential process in indoor air conditioning and its physical removal of particulate matter is critical for enhancing indoor air quality, especially in arid regions including United Arab Emirates. In such regions, meeting indoor air quality standard is challenging during sporadic sandstorms when common air conditioning systems are unable to maintain indoor air quality properly. Such inability occurs either due to air infiltration through building’s fenestrations exposing indoor air to excessive particulate matter or the failure of inlet air filters after rapid clogging and high pressure drops. Such failure may be observed frequently in buildings with frequent openings such as public buildings and warehouses. Aerosolized pathogenic microorganisms, e.g., SARS-CoV-2 virus, can be modelled through air particle matter and be removed to a certain degree. In addition, the recent global pandemic raised more awareness towards the necessity of particulate matter filtration in indoor environment. Employing independent air filtration units might be a great solution for intermittent or emergency situations, when primary or additional air filtration process is required to attain proper indoor air quality. The main objective of this paper is to attempt designing, manufacturing, and utilizing an easy to set portable filtration unit and to assist buildings’ existing air conditioning systems in airborne dust particle elimination. The unit is designed and manufactured with additional feature accommodating easy installation of commercially available filters for further performance studies. The unit was equipped with all necessary performance monitoring sensors to detect key parameters such as air velocity, pressure differential, temperature, humidity, and particulate matter before and after filtration. The results revealed interesting information associated with the performance of commercially available filters and the feasibility of such independent filtration units.
Harnessing tree-ring phenotypes to disentangle gene by environment interactions and their climate dependencies in a circum-Mediterranean pine
Authors: Lombardi Erica , Shestakova Tatiana A , Santini Filippo , Resco de Dios Víctor , Voltas Jordi 
Published: July 2022

Abstract

Background and Aims
Understanding the genetic basis of adaptation and plasticity in trees constitutes a knowledge gap. We linked dendrochronology and genomics [single nucleotide polymorphisms (SNPs)] for a widespread conifer (Pinus halepensis Mill.) to characterize intraspecific growth differences elicited by climate.

Methods
The analysis comprised 20-year tree-ring series of 130 trees structured in 23 populations evaluated in a common garden. We tested for genotype by environment interactions (G × E) of indexed ring width (RWI) and early- to latewood ratios (ELI) using factorial regression, which describes G × E as differential gene sensitivity to climate.

Key Results
The species’ annual growth was positively influenced by winter temperature and spring moisture and negatively influenced by previous autumn precipitation and warm springs. Four and five climate factors explained 10 % (RWI) and 16 % (ELI) of population-specific interannual variability, respectively, with populations from drought-prone areas and with uneven precipitation experiencing larger growth reductions during dry vegetative periods. Furthermore, four and two SNPs explained 14 % (RWI) and 10 % (ELI) of interannual variability among trees, respectively. Two SNPs played a putative role in adaptation to climate: one identified from transcriptome sequencing of P. halepensis and another involved in response regulation to environmental stressors.

Conclusions
We highlight how tree-ring phenotypes, obtained from a common garden experiment, combined with a candidate-gene approach allow the quantification of genetic and environmental effects determining adaptation for a conifer with a large and complex genome.
A comprehensive analysis of the IEDB MHC class-I automated benchmark
Authors: Trevizani Raphael , Yan Zhen , Greenbaum Jason A , Sette Alessandro , Nielsen Morten , Peters Bjoern 
Published: July 2022

Abstract
In 2014, the Immune Epitope Database automated benchmark was created to compare the performance of the MHC class I binding predictors. However, this is not a straightforward process due to the different and non-standardized outputs of the methods. Additionally, some methods are more restrictive regarding the HLA alleles and epitope sizes for which they predict binding affinities, while others are more comprehensive. To address how these problems impacted the ranking of the predictors, we developed an approach to assess the reliability of different metrics. We found that using percentile-ranked results improved the stability of the ranks and allowed the predictors to be reliably ranked despite not being evaluated on the same data. We also found that given the rate new data are incorporated into the benchmark, a new method must wait for at least 4 years to be ranked against the pre-existing methods. The best-performing tools with statistically indistinguishable scores in this benchmark were NetMHCcons, NetMHCpan4.0, ANN3.4, NetMHCpan3.0 and NetMHCpan2.8. The results of this study will be used to improve the evaluation and display of benchmark performance. We highly encourage anyone working on MHC binding predictions to participate in this benchmark to get an unbiased evaluation of their predictors.
Principal Component Analysis and DoE-Based AQbD Approach to Multipurpose HPTLC Method for Synchronous Estimation of Multiple FDCs of Metformin HCl, Repaglinide, Glibenclamide and Pioglitazone HCl
Authors: Prajapati Pintu , Radadiya Khushbu , Shah Shailesh 
Published: July 2022

Abstract
Metformin HCl (MET) is a mostly used antidiabetic drug and several fixed-dose combinations are available in the market with other antidiabetic drugs for the treatment of insulin-independent diabetes. Numerous chromatographic methods have been reported for the estimation of multiple fixed dose combination (FDC) of MET but each FDC needs a separate and dedicated chromatographic method for analysis. No chromatographic method has been reported yet in the literature which promotes synchronous estimation of multiple FDCs of MET to minimize organic solvent consumption, time and cost of analysis. Hence, the multipurpose-high performance thin layer chromatography (HPTLC) method was developed for the synchronous estimation of FDCs of MET by the implementation of an enhanced analytical quality by design approach. Principal component analysis was applied for the identification of critical method risk parameters. Box–Behnken design was applied for response surface analysis. The method operable design ranges was navigated and the control strategy was framed. The developed method was applied for the analysis of multiple FDCs of metformin. The developed method can synchronously analyze multiple FDCs of MET which required several chromatographic methods. Hence, the present method is multipurpose-HPTLC for the synchronous estimation of multiple FDCs of MET which required minimum organic solvent, time and cost of analysis.
Reduction and Hydroxylation Metabolites of Mequindox in Holothurian Analysis by Ultra-Performance Liquid Chromatography–Tandem Mass Spectrometry
Authors: Li Yonggang , Mao Xin , Jiang Lisheng , Liu Huihui , Nie Xiaoming , Liu Xiaohong , Kong Fang , Luo Ping , Li Yanshen 
Published: July 2022

AbstractThis research proposed and validated an LC-MSMS method for five reduction and hydroxylation metabolites of Mequindox (MEQ) as well as the precursor in holothurian samples. Specially, three hydroxylation metabolites (2-isoethanol-mequindox, M3, 2-isoethanol-1-desoxymequindox, M4 and 2-isoethanol-4-desoxymequindox, M5) are novel for analysis. Target compounds were extracted with methanol and ethyl acetate in turn without any complicated acidolysis, alkaline hydrolysis or enzymolysis steps. Samples were further purified with C18 solid-phase extraction cartridges for LC-MSMS analysis. Mean recoveries in spiked samples ranged from 81 to 107% with intra-day relative standard deviation (RSD) and inter-day RSD &lt;11.2 and 9.9%, respectively. Limit of detection was determined based on signal-to-noise ratio ≥3 ranged from 0.16 to 2.11 μg kg−1 for each target. The validated protocol was successfully applied for commercial holothurian samples with a positive rate at 13.3%. And concentrations of hydroxylation metabolites were higher than reduction metabolites and precursor MEQ in positive samples.
Increased Stroke Risk Following Herpes Zoster Infection and Protection With Zoster Vaccine
Authors: Parameswaran Ganapathi Iyer , Wattengel Bethany A , Chua Hubert C , Swiderek Jessica , Fuchs Tom , Carter Michael T , Goode Laura , Doyle Kathleen , Mergenhagen Kari A 
Published: July 2022

Abstract

Background
Studies evaluating stroke following varicella zoster virus (VZV) infection are limited, and the utility of zoster vaccination against this phenomenon is unclear. This study aimed to determine the risk of stroke 30 days following zoster infection and to evaluate the impact of zoster vaccinations on the risk of stroke in VZV-infected patients.

Methods
This retrospective case-control study was conducted from January 2010 to January 2020 utilizing nationwide patient data retrieved from the Veterans Affairs’ Corporate Data Warehouse.

Results
A total of 2 165 505 patients ≥18 years of age who received care at a Veterans Affairs facility were included in the study, of whom 71 911 had a history of zoster infection. Zoster patients were found to have 1.9 times increased likelihood of developing a stroke within 30 days following infection (odds ratio [OR], 1.93 [95% confidence interval {CI}, 1.57–2.4]; P &lt; .0001). A decreased risk of stroke was seen in patients who received the recombinant zoster vaccine (OR, 0.57 [95% CI, .46–.72]; P &lt; .0001) or the live zoster vaccine (OR, 0.77 [95% CI, .65–.91]; P = .002).

Conclusions
Patients had a significantly higher risk of stroke within the first month following recent herpes zoster infection. Receipt of at least 1 zoster vaccination was found to mitigate this increased risk. Vaccination may therefore be viewed as a protective tool against the risk of neurologic postinfection sequelae.
Listeria monocytogenes Illness and Deaths Associated With Ongoing Contamination of a Multiregional Brand of Ice Cream Products, United States, 2010–2015
Authors: Conrad Amanda R , Tubach Sheri , Cantu Venessa , Webb Lindsey Martin , Stroika Steven , Moris Steve , Davis Megan , Hunt D Charles , Bradley Kristy K , Kucerova Zuzana , Strain Errol , Doyle Matthew , Fields Angela , Neil Karen P , Gould L Hannah , Jackson Kelly A , Wise Matthew E , Griffin Patricia M , Jackson Brendan R 
Published: July 2022

Abstract

Background
Frozen foods have rarely been linked to Listeria monocytogenes illness. We describe an outbreak investigation prompted by both hospital clustering of illnesses and product testing.

Methods
We identified outbreak-associated listeriosis cases using whole-genome sequencing (WGS), product testing results, and epidemiologic linkage to cases in the same Kansas hospital. We reviewed hospital medical and dietary records, product invoices, and molecular subtyping results. Federal and state officials tested product and environmental samples for L. monocytogenes.

Results
Kansas officials were investigating 5 cases of listeriosis at a single hospital when, simultaneously, unrelated sampling for a study in South Carolina identified L. monocytogenes in Company A ice cream products made in Texas. Isolates from 4 patients and Company A products were closely related by WGS, and the 4 patients with known exposures had consumed milkshakes made with Company A ice cream while hospitalized. Further testing identified L. monocytogenes in ice cream produced in a second Company A production facility in Oklahoma; these isolates were closely related by WGS to those from 5 patients in 3 other states. These 10 illnesses, involving 3 deaths, occurred from 2010 through 2015. Company A ultimately recalled all products.

Conclusions
In this US outbreak of listeriosis linked to a widely distributed brand of ice cream, WGS and product sampling helped link cases spanning 5 years to 2 production facilities, indicating longstanding contamination. Comprehensive sanitation controls and environmental and product testing for L. monocytogenes with regulatory oversight should be implemented for ice cream production.
Antibody and T-Cell Responses 6 Months After Coronavirus Disease 2019 Messenger RNA-1273 Vaccination in Patients With Chronic Kidney Disease, on Dialysis, or Living With a Kidney Transplant
Authors: Sanders Jan-Stephan F , Messchendorp A Lianne , de Vries Rory D , Baan Carla C , van Baarle Debbie , van Binnendijk Rob , Diavatopoulos Dimitri A , Geers Daryl , Schmitz Katharina S , GeurtsvanKessel Corine H , den Hartog Gerco , Kho Marcia M L , Koopmans Marion P G , van der Molen Renate G , Remmerswaal Ester B M , Rots Nynke , Gansevoort Ron T , Bemelman Frederike J , Hilbrands Luuk B , Reinders Marlies E J ,   the VACcination Immune Response Study (RECOVAC) Collaborators, Abrahams Alferso C , Baas Marije C , Bouwmans Pim , ten Dam Marc A G J , Gommers Lennert , Frölke Sophie C , Standaar Dorien , van der Heiden Marieke , Imhof Celine , Adema Yvonne M R , Malahe Reshwan K , Boer-Verschragen Marieken J , Mattheussens Wouter B , Philipsen Ria , van Mourik Djenolan , Bogers Susanne , van Dijk Laura L A , Hemmelder Marc H , de Vries Aiko P J 
Published: July 2022

Abstract

Background
The immune response to COVID-19 vaccination is inferior in kidney transplant recipients (KTRs) and to a lesser extent in patients on dialysis or with chronic kidney disease (CKD). We assessed the immune response 6 months after mRNA-1273 vaccination in kidney patients and compared this to controls.

Methods
A total of 152 participants with CKD stages G4/5 (eGFR &lt;30 mL/min/1.73 m2), 145 participants on dialysis, 267 KTRs, and 181 controls were included. SARS-CoV-2 Spike S1 specific IgG antibodies were measured using fluorescent bead-based multiplex-immunoassay, neutralizing antibodies to ancestral, Delta, and Omicron (BA.1) variants by plaque reduction, and T-cell responses by interferon-γ release assay.

Results
At 6 months after vaccination, S1-specific antibodies were detected in 100% of controls, 98.7% of CKD G4/5 patients, 95.1% of dialysis patients, and 56.6% of KTRs. These figures were comparable to the response rates at 28 days, but antibody levels waned significantly. Neutralization of the ancestral and Delta variants was detected in most participants, whereas neutralization of Omicron was mostly absent. S-specific T-cell responses were detected at 6 months in 75.0% of controls, 69.4% of CKD G4/5 patients, 52.6% of dialysis patients, and 12.9% of KTRs. T-cell responses at 6 months were significantly lower than responses at 28 days.

Conclusions
Although seropositivity rates at 6 months were comparable to rates at 28 days after vaccination, significantly decreased antibody levels and T-cell responses were observed. The combination of low antibody levels, reduced T-cell responses, and absent neutralization of the newly emerging variants indicates the need for additional boosts or alternative vaccination strategies in KTRs.

Clinical Trials Registration
NCT04741386.
Risk Factors for Mortality Among Children Younger Than Age 5 Years With Severe Diarrhea in Low- and Middle-income Countries: Findings From the World Health Organization-coordinated Global Rotavirus and Pediatric Diarrhea Surveillance Networks
Authors: Hartman Rachel M , Cohen Adam L , Antoni Sebastien , Mwenda Jason , Weldegebriel Goitom , Biey Joseph , Shaba Keith , de Oliveira Lucia , Rey Gloria , Ortiz Claudia , Tereza Maria , Fahmy Kamal , Ghoniem Amany , Ashmony Hossam , Videbaek Dovile , Singh Simarjit , Tondo Emmanuel , Sharifuzzaman Mohammed , Liyanage Jayantha , Batmunkh Nyambat , Grabovac Varja , Logronio Josephine , Serhan Fatima , Nakamura Tomoka 
Published: July 2022

Abstract

Background
Diarrhea is the second leading cause of death in children younger than 5 years of age globally. The burden of diarrheal mortality is concentrated in low-resource settings. Little is known about the risk factors for childhood death from diarrheal disease in low- and middle-income countries.

Methods
Data from the World Health Organization (WHO)-coordinated Global Rotavirus and Pediatric Diarrhea Surveillance Networks, which are composed of active, sentinel, hospital-based surveillance sites, were analyzed to assess mortality in children &lt;5 years of age who were hospitalized with diarrhea between 2008 and 2018. Case fatality risks were calculated, and multivariable logistic regression was performed to identify risk factors for mortality.

Results
This analysis comprises 234 781 cases, including 1219 deaths, across 57 countries. The overall case fatality risk was found to be 0.5%. Risk factors for death in the multivariable analysis included younger age (for &lt;6 months compared with older ages, odds ratio [OR] = 3.54; 95% confidence interval [CI], 2.81–4.50), female sex (OR = 1.18; 95% CI, 1.06–1.81), presenting with persistent diarrhea (OR = 1.91; 95% CI, 1.01–3.25), no vomiting (OR = 1.13; 95% CI, .98–1.30), severe dehydration (OR = 3.79; 95% CI, 3.01–4.83), and being negative for rotavirus on an enzyme-linked immunosorbent assay test (OR = 2.29; 95% CI, 1.92–2.74). Cases from the African Region had the highest odds of death compared with other WHO regions (OR = 130.62 comparing the African Region with the European Region; 95% CI, 55.72–422.73), whereas cases from the European Region had the lowest odds of death.

Conclusions
Our findings support known risk factors for childhood diarrheal mortality and highlight the need for interventions to address dehydration and rotavirus-negative diarrheal infections.
Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins
Authors: Magoga Giulia , Forni Giobbe , Brunetti Matteo , Meral Aycan , Spada Alberto , De Biase Alessio , Montagna Matteo 
Published: July 2022

Abstract
DNA metabarcoding is a widespread approach for the molecular identification of organisms. While the associated wet-lab and data processing procedures are well established and highly efficient, the reference databases for taxonomic assignment can be implemented to improve the accuracy of identifications. Insects are among the organisms for which DNA-based identification is most commonly used; yet, a DNA-metabarcoding reference database specifically curated for their species identification using software requiring local databases is lacking. Here, we present COins, a database of 5’ region cytochrome c oxidase subunit I sequences (COI-5P) of insects that includes over 532 000 representative sequences of &gt;106 000 species specifically formatted for the QIIME2 software platform. Through a combination of automated and manually curated steps, we developed this database starting from all COI sequences available in the Barcode of Life Data System for insects, focusing on sequences that comply with several standards, including a species-level identification. COins was validated on previously published DNA-metabarcoding sequences data (bulk samples from Malaise traps) and its efficiency compared with other publicly available reference databases (not specific for insects). COins can allow an increase of up to 30% of species-level identifications and thus can represent a valuable resource for the taxonomic assignment of insects’ DNA-metabarcoding data, especially when species-level identification is needed https://doi.org/10.6084/m9.figshare.19130465.v1.