bluuebunny/crossref_metadata_2025_split huggingface dataset:
Low dietary adherence after a positive food challenge in food allergic adults
Authors: Versluis Astrid , Le Thuy‐My , Erp Francine C. van , Blankestijn Mark A. , Houben Geert F. , Knulst André C. , Os‐ Medendorp Harmieke van 
Published: February 2022

AbstractBackgroundAfter a positive food challenge (FC), patients receive dietary advice regarding avoidance of the culprit food. We examined the frequency and variables associated with dietary adherence after a positive FC in adults.MethodsIn this prospective daily practice study, adults with a positive FC were included. After every FC, dietary advice was given consisting of three options: (1) strict avoidance, (2) avoidance but products with precautionary allergen labelling (PAL) allowed and (3) (small) amounts allowed. Questionnaires about dietary adherence and associated variables were completed prior to and 6 months after the FC(s).Results41 patients (with 58 positive FCs) were included. Overall, patients adhered to the advised diet after 31% of the FCs. After 33 FCs, the advice was strict avoidance, whereof 82% followed a less strict diet. After 16 FCs, the advice was avoidance but products with PAL allowed, whereof 19% followed a less strict and 25% a stricter diet. In 9 FCs with the least strict advice, “(small) amounts allowed’’, 67% followed a stricter diet. Three variables were associated with adherence: misremembering dietary advice, impaired health‐related quality of life (HRQL) on domain “Emotional impact’’ and the need for dietary change after the FC.ConclusionAfter one third of the positive FCs, patients adhered to the dietary advice. Variables associated with adherence were misremembering dietary advice, impaired HRQL on domain “Emotional impact’’ and the need for dietary change after the FC. It seems important that healthcare professionals should more frequently apply adherence‐enhancing strategies to improve dietary adherence.
An efficient chaotic system based hybrid radiation heat transfer sunflower optimization algorithm for securing digital image transmission
Authors: Sekar Jai Ganesh , Ezhumalai Periyathambi , Chokkalingam Arun 
Published: February 2022

AbstractAt the pixel level, several chaos‐based image encryption and decryption models have been developed throughout the years. However, due to long‐haul, privacy, and security considerations, it has a number of drawbacks, including increased network complexity and low scalability, and actual text cracking avoidance is more challenging. In this study, we have proposed a novel approach for image encryption and decryption. The confusion and diffusion process is performed using fractional‐order chaotic maps with the hybrid radiation heat transfer algorithm based sunflower optimization (HRHT‐SO) algorithm. The proposed method works for both color and grayscale images. The HRHT‐SO algorithm is the combination of both heat transfer search (HTS) and sunflower optimization (SO) algorithms. During the search process, the SO algorithm improves the radiation stage of the HTS model. Further, the DNA sequence improves the performance of image encryption and decryption using fractional‐order chaotic maps with the HRHT‐SO algorithm. The experimental investigations are carried out by using various parameters such as key sensitivity analysis, keyspace analysis, histogram analysis, correlation coefficient analysis, entropy analysis, PSNR, NPCR, and UACI analysis thereby analyzing the efficiency and complexity of the encryption scheme. Hence, the proposed method outperforms superior performances in all the experiments.
Load balancing in cloud using improved gray wolf optimizer
Authors: Gohil Bhavesh N. , Patel Dhiren R. 
Published: February 2022

AbstractCloud computing allocates virtual resources dynamically on user's demand. The sudden rise of data storage and computation in the cloud computing environment may cause an imbalanced workload distribution. As a result, job completion time will be higher in overloaded servers than the underloaded servers in the same environment. Distributing load fairly in the cloud is a crucial challenge. Traditionally, load balancing is used to distribute the workload among multiple servers to overcome the overloading and underloading of servers. This article presents a novel load balancing approach for cloud computing using improved gray wolf optimization algorithm. We compare our approach with harmony search algorithm, artificial bee colony algorithm, particle swarm optimization, and gray wolf optimization algorithms. Results of simulation are encouraging with improved system performance and fair utilization of resources.
Assessing vegetation recovery from energy development using a dynamic reference approach
Authors: Monroe Adrian P. , Nauman Travis W. , Aldridge Cameron L. , O’Donnell Michael S. , Duniway Michael C. , Cade Brian S. , Manier Daniel J. , Anderson Patrick J. 
Published: February 2022

AbstractEcologically relevant references are useful for evaluating ecosystem recovery, but references that are temporally static may be less useful when environmental conditions and disturbances are spatially and temporally heterogeneous. This challenge is particularly acute for ecosystems dominated by sagebrush (Artemisia spp.), where communities may require decades to recover from disturbance. We demonstrated application of a dynamic reference approach to studying sagebrush recovery using three decades of sagebrush cover estimates from remote sensing (1985–2018). We modelled recovery on former oil and gas well pads (n = 1200) across southwestern Wyoming, USA, relative to paired references identified by the Disturbance Automated Reference Toolset. We also used quantile regression to account for unmodelled heterogeneity in recovery, and projected recovery from similar disturbance across the landscape. Responses to weather and site‐level factors often differed among quantiles, and sagebrush recovery on former well pads increased more when paired reference sites had greater sagebrush cover. Little (<5%) of the landscape was projected to recover within 100 years for low to mid quantiles, and recovery often occurred at higher elevations with cool and moist annual conditions. Conversely, 48%–78% of the landscape recovered quickly (within 25 years) for high quantiles of sagebrush cover. Our study demonstrates advantages of using dynamic reference sites when studying vegetation recovery, as well as how additional inferences obtained from quantile regression can inform management.
Effects of weather variation on waterfowl migration: Lessons from a continental‐scale generalizable avian movement and energetics model
Authors: Aagaard Kevin J. , Lonsdorf Eric V. , Thogmartin Wayne E. 
Published: February 2022

AbstractWe developed a continental energetics‐based model of daily mallard (Anas platyrhynchos) movement during the non‐breeding period (September to May) to predict year‐specific migration and overwinter occurrence. The model approximates movements and stopovers as functions of metabolism and weather, in terms of temperature and frozen precipitation (i.e., snow). The model is a Markov process operating at the population level and is parameterized through a review of literature. We applied the model to 62 years of daily weather data for the non‐breeding period. The average proportion of available habitat decreased as weather severity increased, with mortality decreasing as the proportion of available habitat increased. The most commonly used locations during the course of the non‐breeding period were generally consistent across years, with the most inter‐annual variation present in the overwintering area. Our model revealed that the distribution of mallards on the landscape changed more dramatically when the variation in daily available habitat was greater. The main routes for avian migration in North America were predicted by our simulations: the Atlantic, Mississippi, Central, and Pacific flyways. Our model predicted an average of 77.4% survivorship for the non‐breeding period across all years (range = 76.4%–78.4%), with lowest survivorship during autumn (90.5 ± 1.4%), intermediate survivorship in winter (91.8 ± 0.7%), and greatest survivorship in spring (93.6 ± 1.1%). We provide the parameters necessary for exploration within and among other taxa to leverage the generalizability of this migration model to a broader expanse of bird species, and across a range of climate change and land use/land cover change scenarios.
Population structure and gene flow in the Sheepnose mussel (Plethobasus cyphyus) and their implications for conservation
Authors: Schwarz Sara , Roe Kevin J. 
Published: February 2022

AbstractNorth American freshwater mussel species have experienced substantial range fragmentation and population reductions. These impacts have the potential to reduce genetic connectivity among populations and increase the risk of losing genetic diversity. Thirteen microsatellite loci and an 883 bp fragment of the mitochondrial ND1 gene were used to assess genetic diversity, population structure, contemporary migration rates, and population size changes across the range of the Sheepnose mussel (Plethobasus cyphyus). Population structure analyses reveal five populations, three in the Upper Mississippi River Basin and two in the Ohio River Basin. Sampling locations exhibit a high degree of genetic diversity and contemporary migration estimates indicate that migration within river basins is occurring, although at low rates, but there is no migration is occurring between the Ohio and Mississippi river basins. No evidence of bottlenecks was detected, and almost all locations exhibited the signature of population expansion. Our results indicate that although anthropogenic activity has altered the landscape across the range of the Sheepnose, these activities have yet to be reflected in losses of genetic diversity. Efforts to conserve Sheepnose populations should focus on maintaining existing habitats and fostering genetic connectivity between extant demes to conserve remaining genetic diversity for future viable populations.
Characterization of heart failure patients with reverse left ventricular remodelling post‐angiotensin receptor blockers/neprilysin inhibitors therapy
Authors: Maizels Leonid , Wasserstrum Yishay , Fishman Boris , Segev Amitai , Ben‐Nun David , Younis Anan , Freimark Dov , Mazin Israel , Grupper Avishay 
Published: February 2022

AbstractAimsTo assess the effect of angiotensin receptor blockers/neprilysin inhibitors (ARNI) on left ventricular (LV) ejection fraction (LVEF) and LV dimensions in a real‐life cohort of heart failure and reduced ejection fraction (HFrEF) patients, while analysing patient characteristics that may predict reverse LV remodelling.Methods and resultsThe ARNI‐treated HFrEF patients followed at a single tertiary medical centre HF‐outpatient clinic were included in the study. Clinical and echocardiographic parameters were evaluated prior to ARNI initiation, and while on ARNI therapy, assessing patient characteristics associated with reverse LV remodelling. The cohort included 91 patients (mean age 60.5 years, 90% male) and 47 (52%) patients exhibited ARNI responsiveness, defined as an increase in LVEF during therapy. Overall, LVEF increased by 19% post‐ARNI (23.8 to 28.4%, P < 0.001). Subgroup analysis revealed several parameters associated with significant LVEF improvement, including baseline LVEF <30%, non‐ischaemic HF aetiology, lack of cardiac resynchronization therapy (CRT), better initial functional class and ARNI initiation within 3 years from HF diagnosis (P ≤ 0.001 for all). Significant reduction in LV dimensions was noted in patients with lower initial LVEF, non‐ischaemic HF and no CRT. Further combined subgrouping of the study population demonstrated that patients with both LVEF <30% and a non‐ischaemic HF gained most benefit from ARNI with an average of 51% improvement in LVEF (19.9 to 30%, P < 0.001).ConclusionsThe ARNI treatment response is not uniform among HFrEF patient subgroups. More pronounce reverse LV remodelling is associated with early ARNI treatment initiation in the course of HFrEF, and in those with LVEF <30%, non‐ischaemic HF and no CRT.
Clinical study on the treatment of chronic heart failure with a novel D‐shant atrium shunt device
Authors: Shang Xiaoke , Liu Mei , Zhong Yucheng , Wang Xueli , Chen Song , Fu Xiaojuan , Sun Ming , Xie Mingxing , Ke Yuhe , Guan Ying , Zhang Changdong , Dong Nianguo 
Published: February 2022

AbstractBackgroundAtrial septal shunt devices might improve hospitalizations and also prognosis in heart failure with increased pulmonary pressures due to left heart diseases. In recent years, atrial shunt devices have been used for the treatment of chronic heart failure, but there remains a lack of clinical experience. This study aimed to analyse the therapeutic effect of a novel type of atrial shunt on chronic heart failure.Methods and resultsFrom May 2020 to September 2020, six patients who were diagnosed with chronic heart failure and completed percutaneous D‐shant atrium shunt device implantation in the Department of Cardiovascular Surgery, Union Hospital, were retrospectively included. The shunt location was evaluated by echocardiography and digital subtraction angiography. Heart function was evaluated by New York Heart Association functional class. Echocardiography was used to measure the diameter of the new chamber and ventricle, and to evaluate the degree of mitral and tricuspid regurgitation. Before operation and 6 months after operation, left atrial end‐diastolic volume, right atrial end‐diastolic volume, left ventricular end‐diastolic volume, and right ventricular end‐diastolic volume were measured by magnetic resonance imaging. Left ventricular ejection fractions and right ventricular ejection fractions were calculated. Haemodynamic indexes of right heart catheterization and clinical cardiac function indexes were collected and compared before and 6 months after shunt implantation. All six patients completed percutaneous shunt device implantation. Echocardiography and digital subtraction angiography showed that the shunt device was correctly positioned and unobstructed in all patients. Echocardiography revealed that the left ventricular diameter decreased significantly from 6.40 ± 0.57 mm to 5.03 ± 0.73 mm (P < 0.05). There was an obvious decrease in mitral regurgitation. Magnetic resonance imaging showed a reduction in the volume of the left ventricle (182.00 ± 27.02 mL vs. 125.75 ± 16.11 mL, P < 0.05). Cardiac catheter examination showed the mean left atrium pressure or pulmonary capillary wedge pressure decreased postoperatively (31.83 ± 11.55 vs. 18.00 ± 5.51 mmHg, P < 0.05). There was also obvious improvement in clinical indicators of cardiac function at 6 months after implantation.ConclusionsThis novel D‐shant atrium shunt device revealed maintained good function, no dislodgement and no paradoxical emboli. After implantation, functional mitral regurgitation in all patients with heart failure with reduced ejection fraction improved.
Recent Advances on Nanozyme‐based Electrochemical Biosensors
Authors: Wang Xiaoyu , Dong Shaojun , Wei Hui 
Published: February 2022

AbstractNanozymes are nanomaterials with enzyme‐like catalytic activities. The unique features of nanozymes (such as high stability, low cost, large surface area for bioconjugation, ease of storage, and multi‐functionalities) offer unprecedented opportunities for designing electrochemical biosensors. Recent years have witnessed the rapid development of nanozyme‐based electrochemical biosensors. To highlight these achievements, this review first discusses the representative nanozymes including peroxidase mimics, oxidase mimics, hydrolase mimics, and superoxide dismutase mimics used in electrochemical biosensors. Then, it summarizes the bioanalytical applications for the detection of various analytes. Finally, current challenges and future research directions are summarized.
Recent research advances of the biomimetic tumor microenvironment and regulatory factors on microfluidic devices: A systematic review
Authors: Xu Hui , Cheng Cheng , Le Weidong 
Published: February 2022

AbstractTumor microenvironment is a multicomponent system consisting of tumor cells, noncancer cells, extracellular matrix, and signaling molecules, which hosts tumor cells with integrated biophysical and biochemical elements. Because of its critical involvement in tumor genesis, invasion, metastasis, and resistance, the tumor microenvironment is emerging as a hot topic of tumor biology and a prospective therapeutic target. Unfortunately, the complex of microenvironment modeling in vitro istechnically challenging and does not effectively generalize the local tumor tissue milieu. Recently, significant advances in microfluidic technologies have provided us with an approach to imitate physiological systems that can be utilized to mimic the characterization of tumor responses with pathophysiological relevance in vitro. In this review, we highlight the recent progress and innovations in microfluidic technology that facilitates the tumor microenvironment study. We also discuss the progress and future perspective of microfluidic bionic approaches with high efficiency for the study of tumor microenvironment and the challenges encountered in cancer research, drug discovery, and personalized therapy.
LncRNA polymorphisms and urologic cancer risk
Authors: Abdi Esmat , Latifi‐Navid Saeid 
Published: February 2022

AbstractUrologic cancers involve nearly one‐quarter of all cancers and include the prostate, bladder, and kidney cancers. Long non‐coding RNAs (LncRNAs) are expressed in a tissue‐specific manner and affect cell proliferation, apoptosis, and differentiation. LncRNAs expression is misregulated in urologic cancers, as their aberrant expression may make them capable of being utilized in the diagnosis, prognosis, and treatment of cancers. LncRNAs polymorphisms can affect their structure, expression, and function by interfering with the associated target mRNAs. As a result, lncRNA polymorphisms may be linked to the mechanism driving cancer susceptibility. Therefore, SNPs in lncRNAs may be a beneficial biomarker for early diagnosis and prognosis of cancers, as they affect lncRNA role in tumorigenesis and cancer progression. Moreover, the genetic heredity of lncRNA SNPs affects the personal therapeutic response to drugs. In this study, the lncRNAs polymorphism is summarized in relation to urologic cancers. It is proposed that lncRNA‐related polymorphisms, as an individual or combined genotypes, can predict urologic cancer risk, even clinical and prognostic outcomes. However, large‐scale population‐based prospective studies and comprehensive meta‐analyses should be conducted to validate and use these lncRNAs SNPs as the indicators of urologic cancers. Future research should examine the function of these SNPs to explain their associations with urologic cancers.
A multi‐objective performance‐based seismic design framework for building typologies
Authors: Badal Prakash S. , Sinha Ravi 
Published: February 2022

AbstractA vast majority of the world's reinforced concrete (RC) buildings are designed using prescriptive force‐based methods. In addition to safety, there is growing demand to meet additional performance objectives to limit economic losses and minimize disruption after smaller earthquakes. A framework is proposed that allows prescriptive design standards to deliver multi‐objective risk targets. It adopts an explicitly probabilistic approach considering uncertainty in seismic demand and structural capacity. A rational basis for targeting multiple performance metrics is actualized. The framework provides the first step of a practical strategy to migrate to the performance‐based design of buildings in a phased manner. Using the framework, risk‐targeted safety factors (RTSF) are derived in conjunction with the prescriptive design method to meet different target risk spaces. The framework proposes the replacement of importance factor, which does not quantify performance or risk or considers the building typology, with RTSFs. The framework is illustrated using six example RC buildings representing special moment frame typology conforming to prevalent Indian standards. The results indicate that such typology has an annual frequency of collapse of 1 × 10−4, an annual loss‐of‐operationality of 20 × 10−4, and an expected annual loss of 3 × 10−4. For the same typology, a four‐fold reduction requires an RTSF value of 1.6 for collapse risk, whereas the risk of loss‐of‐operationality necessitates a larger RTSF of 2.0. The larger RTSFs for higher performance illustrates additional design requirement that can only be obtained when considering multiple performance objectives. The framework is universally applicable for any lateral load‐resisting system and selected performance metrics.
A developmentally prometastatic niche to hepatoblastoma in neonatal liver mediated by the Cxcl1/Cxcr2 axis
Authors: Fan Li , Pan Qingfei , Yang Wentao , Koo Selene C. , Tian Cheng , Li Liyuan , Lu Meifen , Brown Anthony , Ju Bensheng , Easton John , Ranganathan Sarangarajan , Shin Soona , Bondoc Alexander , Yang Jun J. , Yu Jiyang , Zhu Liqin 
Published: February 2022

Abstract

Background and Aims
Hepatoblastoma (HB) is the most common pediatric liver cancer. Its predominant occurrence in very young children led us to investigate whether the neonatal liver provides a protumorigenic niche to HB development.

Approach and Results
HB development was compared between orthotopic transplantation models established in postnatal day 5 (P5) and 60 (P60) mice (P5Tx and P60Tx models). Single‐cell RNA‐sequencing (sc‐RNAseq) was performed using tumor and liver tissues from both models and the top candidate cell types and genes identified are investigated for their roles in HB cell growth, migration, and survival.

Conclusions
We found that various HB cell lines including HepG2 cells were consistently and considerably more tumorigenic and metastatic in the P5Tx model than in the P60Tx models. Sc‐RNAseq of the P5Tx and P60Tx HepG2 models revealed that the P5Tx tumor was more hypoxic and had a larger number of activated hepatic stellate cells (aHSCs) in the tumor‐surrounding liver that express significantly higher levels of Cxcl1 than those from the P60Tx model. We found these differences were developmentally present in normal P5 and P60 liver. We showed that the Cxcl1/Cxcr2 axis mediated HB cell migration and was critical to HB cell survival under hypoxia. Treating HepG2 P60Tx model with recombinant CXCL1 protein induced intrahepatic and pulmonary metastasis and CXCR2 knockout (KO) in HepG2 cells abolished their metastatic potential in the P5Tx model. Lastly, we showed that in tumors from patients with metastatic HB, there was a similar larger population of aHSCs in the tumor‐surrounding liver than in localized tumors, and tumor hypoxia was uniquely associated with prognosis of patients with HB among pediatric cancers. We demonstrated that the neonatal liver provides a prometastatic niche to HB development through the Cxcl1/Cxcr2 axis.