bluuebunny/crossref_metadata_2025_split huggingface dataset:
Variation in δ13C and δ15N values of mothers and their calves across southern right whale nursery grounds: The effects of nutritional stress?
Authors: Carroll Emma L. , Dunshea Glenn , Ott Paulo H. , Valenzuela Luciano O. , Baker C. Scott , Childerhouse Simon J. , Gaggiotti Oscar E. , Flores Paulo A. C. , Groch Karina , Gröcke Darren R. , Hindell Mark A. , Lundquist David , Oliveira Larissa R. , Rowntree Victoria , Sironi Mariano , Newsome Seth D. 
Published: September 2021

AbstractSouthern right whales (SRW) are capital breeders that use stored energy reserves to sustain themselves and their calves on nursery areas. With successful calving events declining in some SRW populations, it has been hypothesized that nutritional stress in adult females causes reproductive failure or death of calves shortly after birth. Here we compared offsets in carbon and nitrogen isotope values of mothers and their offspring (Δ13Ccalf‐cow and Δ15Ncalf‐cow) among three SRW populations. SRW from Aotearoa New Zealand, with high population growth rates and body conditions scores, have negative Δ13Ccalf‐cow suggesting calves are utilizing 13C‐depleted lipid carbon in milk to fuel the synthesis of nonessential amino acids used to build new tissues and rapidly grow. In contrast, a significantly positive Δ13Ccalf‐cow offset previously reported for SRW from Argentina during a mass die‐off event was hypothesized to be due to calves consuming milk with low lipid content. Patterns in Δ15Ncalf‐cow were more difficult to interpret and highlight the complexity in nitrogen transfer between mother and offspring. When combined with similar data collected from Brazil and during a low mortality year in Argentina, we hypothesize this approach provides a way to retrospectively compare nutritional condition of breeding adult female SRW across nursery areas.
Changes in preterm birth and caesarean deliveries in the United States during the SARS‐CoV‐2 pandemic
Authors: Gemmill Alison , Casey Joan A. , Catalano Ralph , Karasek Deborah , Margerison Claire E. , Bruckner Tim 
Published: September 2021

AbstractBackgroundPreliminary studies suggest that the SARS‐CoV‐2 pandemic and associated social, economic and clinical disruptions have affected pregnancy decision‐making and outcomes. Whilst a few US‐based studies have examined regional changes in birth outcomes during the pandemic's first months, much remains unknown of how the pandemic impacted perinatal health indicators at the national‐level throughout 2020, including during the ‘second wave’ of infections that occurred later in the year.ObjectivesTo describe changes in monthly rates of perinatal health indicators during the 2020 pandemic for the entire US.MethodsFor the years 2015 to 2020, we obtained national monthly rates (per 100 births) for four perinatal indicators: preterm (<37 weeks’ gestation), early preterm (<34 weeks’ gestation), late preterm (34–36 weeks’ gestation) and caesarean delivery. We used an interrupted time‐series approach to compare the outcomes observed after the pandemic began (March 2020) to those expected had the pandemic not occurred for March through December of 2020.ResultsObserved rates of preterm birth fell below expectation across several months of the 2020 pandemic. These declines were largest in magnitude in early and late 2020, with a 5%–6% relative difference between observed and expected occurring in March and November. For example, in March 2020, the observed preterm birth rate of 9.8 per 100 live births fell below the 95% prediction interval (PI) of the rate predicted from history, which was 10.5 preterm births per 100 live births (95% PI 10.2, 10.7). We detected no changes from expectation in the rate of caesarean deliveries.ConclusionsOur findings provide nationwide evidence of unexpected reductions in preterm delivery during the 2020 SARS‐CoV‐2 pandemic in the US. Observed declines below expectation were differed by both timing of delivery and birth month, suggesting that several mechanisms, which require further study, may explain these patterns.
Development of a Biomimetic Masticating Robot for Food Texture Analysis
Authors: Chen Bangxiang , Dhupia Jaspreet S. , Morgenstern Marco P. , Bronlund John E. , Xu Weiliang 
Published: September 2021

Abstract
Assessing the food texture via mastication is important for advancing knowledge of food properties so as to develop favorable and healthy food products. Oral processing of food by robots can enable an in vitro assessment of food texture by simulating human mastication objectively. In this study, a chewing robot is developed to mimic the rhythmic motion of the molars to enable controllable chewing kinematics and a biomimetic oral environment. The robotic chewing is realized using a 3 degree-of-freedom (DOF) linkage mechanism, which recreates the molar grinding movement based on molar trajectories and chewing cycle durations previously reported in the literature. Moreover, a soft pneumatically actuated cavity is developed to provide a space to contain and reposition the food between occlusions. To regulate the robotic chewing having variable molar trajectories and chewing durations, the mathematical relationship of the linkage’s actuators and molar movements is investigated for the purpose of motion analysis and control. Accordingly, the design of the robot in terms of linkage, oral cavity, and mechatronics system is performed. The built robot is validated by tracing a planned variable molar trajectory while chewing peanuts. The performance of robot chewing is validated by demonstrating the ability of the robot to chew the peanuts similar to that by human through comparison of peanut particle size distributions (PSDs) and particle median size diameters.
Evolution of Interfacial Microstructure During Resistance Spot Welding of Cu and Al With Ni-P Coating
Authors: Chen Nannan , Wang Hongliang , Li Jingjing , Liu Vic , Schroth James 
Published: September 2021

Abstract
Dissimilar materials of copper (Cu) to aluminum (Al) with nickel-phosphorus (Ni-P) coatings were joined using resistance spot welding. The Ni-P coatings were electroless plated on the Al surfaces to eliminate the formation of brittle Cu-Al intermetallic compounds (IMCs) at the faying interface of Cu to Al. Three welding schedules with various heat input were used to produce different interfacial microstructure. The evolution of interfaces in terms of phase constitution, elemental distribution, and defects (gaps and voids) was characterized and the formation mechanisms were elucidated. During the welding, the bonding between Cu and Ni-P form through solid-state diffusion, while the faster diffusion rate of Cu relative to Ni and P atoms promotes the generation of sub-micro voids. As the heat input increases, gaps at the Cu/Ni-P interface diminish accompanied by increase of sub-micro voids. A moderate schedule helps to remove the gaps and inhibit the voids formation. An Al3Ni layer and nanovoids were found around the interface of Ni-P/Al. The increased heat input decreases the grain size of Al3Ni at the interface by eutectic remelting and increases the nanovoids by enhanced nanoscale Kirkendall effect.
Optimal Modular Remanufactured Product Configuration and Harvesting Planning for End-of-Life Products
Authors: Kim Jinju , Park Seyoung , Kim Harrison M. 
Published: September 2021

AbstractRemanufacturing is a representative product recovery strategy that can improve economic profitability and sustainability, but many companies are struggling because of the lack of understanding of the market and the design strategies for remanufactured products. Unlike the production process of new products, remanufacturing requires unique production processes, such as collecting used products and dis(re)assembly. Therefore, several factors need to be considered for the design of remanufactured products. First, when designing a remanufactured product, it is crucial to ensure that the specifications of components meet the customer’s requirements because the remanufacturing uses relatively outdated components or modules. In addition, it is necessary to consider the disassembly level and order to facilitate the disassembly process to obtain the desired parts. This study proposes an integrated model to (i) find configuration design suitable for remanufactured products that can maximize customer utility based on customer online review analysis regarding End-of-Life products, and (ii) establish a harvest plan that determines the optimal disassembly operations and levels. This proposed model can be used as a decision-making tool that helps product designers find the appropriate design of remanufactured products while increasing the efficiency of the remanufacturing process.
EXTENDING A VAN DER POL BASED REDUCED-ORDER MODEL FOR FLUID-STRUCTURE INTERACTION APPLIED TO NON-SYNCHRONOUS VIBRATIONS IN TURBOMACHINERY
Authors: Hollenbach Richard , Kielb Robert , Hall Kenneth 
Published: September 2021

Abstract
This paper expands upon a multi-degree-of-freedom, Van der Pol oscillator used to model buffet and Nonsynchronous Vibrations (NSV) in turbines. Two degrees-of-freedom are used, a fluid tracking variable incorporating a Van der Pol oscillator and a classic spring, mass, damper mounted cylinder variable; thus, this model is one of fluid-structure interaction. This model has been previously shown to exhibit the two main aspects of NSV. The first is the lock-in or entrainment phenomenon of the fluid shedding frequency jumping onto the natural frequency of the oscillator, while the second is a stable limit cycle oscillation (LCO) once the transient solution disappears. Improvements are made to the previous model to better understand this aeroelastic phenomenon. First, an error minimizing technique through a system identification method is used to tune the coefficients in the Reduced Order Model (ROM) to improve the accuracy in comparison to experimental data. Secondly, a cubic stiffness term is added to the fluid equation; this term is often seen in the Duffing Oscillator equation, which allows this ROM to capture the experimental behavior more accurately, seen in previous literature. The finalized model captures the experimental cylinder data found in literature much better than the previous model. These improvements also open the door for future models, such as that of a pitching airfoil or a turbomachinery blade, to create a preliminary design tool for studying NSV in turbomachinery.
Volcanic plumbing filters on ocean-island basalt geochemistry
Authors: Ubide Teresa , Larrea Patricia , Becerril Laura , Galé Carlos 
Published: September 2021

AbstractOcean-island basalts (OIBs) are considered to be messengers from the deep mantle, yet the filtering effect of the plumbing systems that bring OIB melts to the surface remains poorly assessed. We investigated volcanic products from El Hierro island (Canary Islands) from textural and chemical perspectives. The majority of geochemical data cluster at relatively fractionated basaltic compositions of 5 wt% MgO. Compositions ≥10 wt% MgO are porphyritic whole rocks that accumulate mafic minerals. Near-primary melts do not erupt. Instead, we show that carrier melts (crystal-free whole rocks, glasses, and melt inclusions) are consistently buffered to low-MgO compositions during passage through the plumbing system. We tested our model of melt fractionation and crystal accumulation on a global compilation of OIBs. Similar to El Hierro, the majority of data cluster at evolved compositions of 5 wt% MgO (alkaline) to 7 wt% MgO (tholeiitic). Modeling the fractionation of OIB parental melts, we show that with 50% crystallization, OIB melts reach 5 wt% MgO with reduced density, increased volatile content, and overall low viscosity, becoming positively buoyant relative to wall rocks and highly eruptible when reaching volatile saturation at depths around the crust-mantle boundary. Under these conditions, 5 wt% MgO OIB “sweet spot” melts are propelled to the surface and erupt carrying an assortment of recycled crystals. This mechanism is consistent with the petrography and chemistry of erupted products and suggests OIB volcanoes are dominated by low-MgO basaltic melts.
Plasma N-glycome shows continuous deterioration as the diagnosis of insulin resistance approaches
Authors: Cvetko Ana , Mangino Massimo , Tijardović Marko , Kifer Domagoj , Falchi Mario , Keser Toma , Perola Markus , Spector Tim D , Lauc Gordan , Menni Cristina , Gornik Olga 
Published: September 2021

IntroductionPrediction of type 2 diabetes mellitus (T2DM) and its preceding factors, such as insulin resistance (IR), is of great importance as it may allow delay or prevention of onset of the disease. Plasma protein N-glycome has emerged as a promising predictive biomarker. In a prospective longitudinal study, we included patients with a first diagnosis of impaired glucose metabolism (IR or T2DM) to investigate the N-glycosylation’s predictive value years before diabetes development.Research design and methodsPlasma protein N-glycome was profiled by hydrophilic interaction ultra-performance liquid chromatography in 534 TwinsUK participants free from disease at baseline. This included 89 participants with incident diagnosis of IR or T2DM during the follow-up period (7.14±3.04 years) whose last sample prior to diagnosis was compared using general linear regression with 445 age-matched unrelated controls. Findings were replicated in an independent cohort. Changes in N-glycome have also been presented in connection with time to diagnosis.ResultsEight groups of plasma N-glycans were different between incident IR or T2DM cases and controls (p<0.05) after adjusting for multiple testing using Benjamini-Hochberg correction. These differences were noticeable up to 10 years prior to diagnosis and are changing continuously as becoming more expressed toward the diagnosis. The prediction model was built using significant glycan traits, displaying a discriminative performance with an area under the receiver operating characteristic curve of 0.77.ConclusionsIn addition to previous studies, we showed the diagnostic potential of plasma N-glycome in the prediction of both IR and T2DM development years before the clinical manifestation and indicated the continuous deterioration of N-glycome toward the diagnosis.
Genetic variants associated with beta-cell function and insulin sensitivity potentially influence bile acid metabolites and gestational diabetes mellitus in a Chinese population
Authors: Zhou Qiulun , Wang Ying , Gu Yuqin , Li Jing , Wang Hui , Leng Junhong , Li Weiqin , Yu Zhijie , Hu Gang , Ma Ronald Ching Wan , Fang Zhong-Ze , Yang Xilin , Jiang Guozhi 
Published: September 2021

IntroductionTo investigate associations between genetic variants related to beta-cell (BC) dysfunction or insulin resistance (IR) in type 2 diabetes (T2D) and bile acids (BAs), as well as the risk of gestational diabetes mellitus (GDM).Research design and methodsWe organized a case-control study of 230 women with GDM and 217 without GDM nested in a large prospective cohort of 22 302 Chinese women in Tianjin, China. Two weighted genetic risk scores (GRSs), namely BC-GRS and IR-GRS, were established by combining 39 and 23 single nucleotide polymorphisms known to be associated with BC dysfunction and IR, respectively. Regression and mediation analyses were performed to evaluate the relationship of GRSs with BAs and GDM.ResultsWe found that the BC-GRS was inversely associated with taurodeoxycholic acid (TDCA) after adjustment for confounders (Beta (SE)=−0.177 (0.048); p=2.66×10−4). The BC-GRS was also associated with the risk of GDM (OR (95% CI): 1.40 (1.10 to 1.77); p=0.005), but not mediated by TDCA. Compared with individuals in the low tertile of BC-GRS, the OR for GDM was 2.25 (95% CI 1.26 to 4.01) in the high tertile. An interaction effect of IR-GRS with taurochenodeoxycholic acid (TCDCA) on the risk of GDM was evidenced (p=0.005). Women with high IR-GRS and low concentration of TCDCA had a markedly higher OR of 14.39 (95% CI 1.59 to 130.16; p=0.018), compared with those with low IR-GRS and high TCDCA.ConclusionsGenetic variants related to BC dysfunction and IR in T2D potentially influence BAs at early pregnancy and the development of GDM. The identification of both modifiable and non-modifiable risk factors may facilitate the identification of high-risk individuals to prevent GDM.
Lower extremity MRI following 10-week supervised exercise intervention in patients with diabetic peripheral neuropathy
Authors: Brown Ryan , Sharafi Azadeh , Slade Jill M , Convit Antonio , Davis Nathan , Baete Steven , Milton Heather , Mroczek Kenneth J , Kluding Patricia M , Regatte Ravinder R , Parasoglou Prodromos , Rao Smita 
Published: September 2021

IntroductionThe purpose of this study was to characterize using MRI the effects of a 10-week supervised exercise program on lower extremity skeletal muscle composition, nerve microarchitecture, and metabolic function in individuals with diabetic peripheral neuropathy (DPN).Research design and methodsTwenty participants with DPN completed a longitudinal trial consisting of a 30-day control period, during which subjects made no change to their lifestyle, followed by a 10-week intervention program that included three supervised aerobic and resistance exercise sessions per week targeting the upper and lower extremities. The participants’ midcalves were scanned with multinuclear MRI two times prior to intervention (baseline1and baseline2) and once following intervention to measure relaxation times (T1, T1ρ, and T2), phosphocreatine recovery, fat fraction, and diffusion parameters.ResultsThere were no changes between baseline1and baseline2MRI metrics (p>0.2). Significant changes (p<0.05) between baseline2and postintervention MRI metrics were: gastrocnemius medialis (GM) T1 –2.3%±3.0% and soleus T2 –3.2%±3.1%. Trends toward significant changes (0.05<p<0.1) between baseline2and postintervention MRI metrics were: calf adipose infiltration –2.6%±6.4%, GM T1ρ –4.1%±7.7%, GM T2 –3.5%±6.4%, and gastrocnemius lateral T2 −4.6±7.4%. Insignificant changes were observed in gastrocnemius phosphocreatine recovery rate constant (p>0.3) and tibial nerve fractional anisotropy (p>0.6) and apparent diffusion coefficient (p>0.4).ConclusionsThe 10-week supervised exercise intervention program successfully reduced adiposity and altered resting tissue properties in the lower leg in DPN. Gastrocnemius mitochondrial oxidative capacity and tibial nerve microarchitecture changes were not observed, either due to lack of response to therapy or to lack of measurement sensitivity.
Scaling up Kangaroo Mother Care in Ethiopia and India: a multi-site implementation research study
Authors: Mony Prem K , Tadele Henok , Gobezayehu Abebe Gebremariam , Chan Grace J , Kumar Aarti , Mazumder Sarmila , Beyene Selemawit Asfaw , Jayanna Krishnamurthy , Kassa Dejene Hailu , Mohammed Hajira Amin , Estifanos Abiy Seifu , Kumar Pankaj , Jadaun Arun Singh , Hailu Abay Tedros , Washington Maryann , W/Gebriel Fitsum , Alamineh Lamesgin , Fikre Addisalem , Kumar Alok , Trikha Sonia , Ashebir Gebregizabher Fisseha , Kar Arin , Bilal Selamawit Mengesha , Belew Mulusew Lijalem , Debere Mesfin Kote , Krishna Raghav , Dalpath Suresh Kumar , Amare Samson Yohannes , Mohan H L , Brune Thomas , Sibley Lynn M , Tariku Abraham , Sahu Arti , Kumar Tarun , Hadush Marta Yemane , Gowda Prabhu Deva , Aziz Khalid , Duguma Dereje , Singh Pramod Kumar , Darmstadt Gary L , Agarwal Ramesh , Gebremariam Dawit Seyoum , Martines Jose , Portela Anayda , Jaiswal Harsh Vardhan , Bahl Rajiv , Rao PN Suman , Tadesse Birkneh Tilahun , Cranmer John N , Hailemariam Damen , Kumar Vishwajeet , Bhandari Nita , Medhanyie Araya Abrha 
Published: September 2021

ObjectivesKangaroo Mother Care (KMC), prolonged skin-to-skin care of the low birth weight baby with the mother plus exclusive breastfeeding reduces neonatal mortality. Global KMC coverage is low. This study was conducted to develop and evaluate context-adapted implementation models to achieve improved coverage.DesignThis study used mixed-methods applying implementation science to develop an adaptable strategy to improve implementation. Formative research informed the initial model which was refined in three iterative cycles. The models included three components: (1) maximising access to KMC-implementing facilities, (2) ensuring KMC initiation and maintenance in facilities and (3) supporting continuation at home postdischarge.Participants3804 infants of birth weight under 2000 g who survived the first 3 days, were available in the study area and whose mother resided in the study area.Main outcome measuresThe primary outcomes were coverage of KMC during the 24 hours prior to discharge and at 7 days postdischarge.ResultsKey barriers and solutions were identified for scaling up KMC. The resulting implementation model achieved high population-based coverage. KMC initiation reached 68%–86% of infants in Ethiopian sites and 87% in Indian sites. At discharge, KMC was provided to 68% of infants in Ethiopia and 55% in India. At 7 days postdischarge, KMC was provided to 53%–65% of infants in all sites, except Oromia (38%) and Karnataka (36%).ConclusionsThis study shows how high coverage of KMC can be achieved using context-adapted models based on implementation science. They were supported by government leadership, health workers’ conviction that KMC is the standard of care, women’s and families’ acceptance of KMC, and changes in infrastructure, policy, skills and practice.Trial registration numbersISRCTN12286667; CTRI/2017/07/008988;NCT03098069;NCT03419416;NCT03506698.
Public knowledge, attitudes and practices related to antibiotic use and resistance in Singapore: a cross-sectional population survey
Authors: Lim Jane M , Duong Minh Cam , Cook Alex R , Hsu Li Yang , Tam Clarence C 
Published: September 2021

ObjectivesThe WHO’s Global Action Plan on Antimicrobial Resistance (AMR) includes increasing overall public awareness of appropriate antibiotic use and resistance as a key priority area. We aimed to measure public knowledge, attitudes and practices of antibiotics and antibiotic resistance in Singapore, as well as their healthcare-seeking behaviours relating to respiratory illnesses, providing baseline data against which to measure the progress of future interventions.DesignA cross-sectional study.SettingThe general population in Singapore.ParticipantsBetween May and June 2019, we conducted a survey via an online panel in Singapore with 706 respondents.ResultsOur findings indicated common misconceptions surrounding antibiotic effectiveness and mechanisms of antibiotic resistance—most participants thought that resistance occurs when our bodies become resistant to antibiotics (62.5%) or when antibiotics become less powerful (48.5%). In multivariable analyses, better knowledge scores were associated with more favourable antibiotic attitudes (β=0.29; 95% CI 0.20 to 0.37). In addition, more favourable attitude scores were associated with lower odds of both expecting (OR: 0.84, 95% CI 0.72 to 0.99) and being prescribed antibiotics by a primary care doctor (OR: 0.76, 95% CI 0.63 to 0.90).ConclusionsThis study presents important information about population perceptions towards antibiotics and antibiotic resistance in Singapore. Results from this study emphasise the importance of effective public communication strategies to promote responsible antibiotic use locally and should be used to inform future implementation of programmes and activities as laid out in Singapore’s National Strategic Action Plan on AMR.