bluuebunny/crossref_metadata_2025_split huggingface dataset:
Radiomics predicts response of individual HER2‐amplified colorectal cancer liver metastases in patients treated with HER2‐targeted therapy
Authors: Giannini Valentina , Rosati Samanta , Defeudis Arianna , Balestra Gabriella , Vassallo Lorenzo , Cappello Giovanni , Mazzetti Simone , De Mattia Cristina , Rizzetto Francesco , Torresin Alberto , Sartore‐Bianchi Andrea , Siena Salvatore , Vanzulli Angelo , Leone Francesco , Zagonel Vittorina , Marsoni Silvia , Regge Daniele 
Published: September 2020

AbstractThe aim of our study was to develop and validate a machine learning algorithm to predict response of individual HER2‐amplified colorectal cancer liver metastases (lmCRC) undergoing dual HER2‐targeted therapy. Twenty‐four radiomics features were extracted after 3D manual segmentation of 141 lmCRC on pretreatment portal CT scans of a cohort including 38 HER2‐amplified patients; feature selection was then performed using genetic algorithms. lmCRC were classified as nonresponders (R−), if their largest diameter increased more than 10% at a CT scan performed after 3 months of treatment, responders (R+) otherwise. Sensitivity, specificity, negative (NPV) and positive (PPV) predictive values in correctly classifying individual lesion and overall patient response were assessed on a training dataset and then validated on a second dataset using a Gaussian naïve Bayesian classifier. Per‐lesion sensitivity, specificity, NPV and PPV were 89%, 85%, 93%, 78% and 90%, 42%, 73%, 71% respectively in the testing and validation datasets. Per‐patient sensitivity and specificity were 92% and 86%. Heterogeneous response was observed in 9 of 38 patients (24%). Five of nine patients were carriers of nonresponder lesions correctly classified as such by our radiomics signature, including four of seven harboring only one nonresponder lesion. The developed method has been proven effective in predicting behavior of individual metastases to targeted treatment in a cohort of HER2 amplified patients. The model accurately detects responder lesions and identifies nonresponder lesions in patients with heterogeneous response, potentially paving the way to multimodal treatment in selected patients. Further validation will be needed to confirm our findings.
Reviewing the impact of 11 national Be Clear on Cancer public awareness campaigns, England, 2012 to 2016: A synthesis of published evaluation results
Authors: Lai Jennifer , Mak Vivian , Bright Chloe J. , Lyratzopoulos Georgios , Elliss‐Brookes Lucy , Gildea Carolynn 
Published: September 2020

AbstractThe Be Clear on Cancer (BCoC) campaigns have run in England since 2010. They aim to raise awareness of possible cancer symptoms, encouraging people to consult a general practice with these symptoms. Our study provides an overview of the impact of 11 national campaigns, for bowel, lung, bladder and kidney, breast and oesophago‐gastric cancers. We synthesised existing results for each campaign covering seven clinical metrics across the patient pathway from primary care attendances to one‐year net survival. For each metric, “before” and “after” periods were compared to assess change potentially related to the campaign. Results show that primary care attendances for campaign‐related symptoms increased for 9 of 10 campaigns and relevant urgent referrals for suspected cancer increased above general trends for 9 of 11 campaigns. Diagnostic tests increased for 6 of 11 campaigns. For 7 of 11 campaigns, there were increases in cancer diagnoses resulting from an urgent referral for suspected cancer. There were sustained periods where more cancers were diagnosed than expected for 8 of 10 campaigns, with higher than expected proportions diagnosed at an early stage for sustained periods for 4 of 10 campaigns. There was no impact on survival. In summary, there is evidence that the BCoC campaigns impact help‐seeking by patients and referral patterns by general practitioners, with some impact on diagnosis (incidence and stage). There was no clear evidence of impact on survival.
Environmental Kuznets curve hypothesis in the case of tourism island states: The moderating role of globalization
Authors: Akadiri Seyi Saint , Uzuner Gizem , Akadiri Ada Chigozie , Lasisi Taiwo Temitope 
Published: September 2020

AbstractThis article examines the relationship between carbon emissions and international tourism growth through the channels of globalization and real income via testing the Environmental Kuznets curve (EKC) over the periods of 1995 to 2016 for 16 selected tourism island states (TIS) that prioritized tourism as a means of maximizing economic growth. Using the dynamic panel‐based pooled mean group method of autoregressive distributed lag, results confirm globalization‐tourism‐induced EKC hypothesis for TIS. This implies international tourism growth and carbon emissions, through the channels of globalization and real income are in a long‐term equilibrium relationship. International tourism and squared term of real income have an inverse significant effect on carbon emission level, while globalization and real income without squared term exert positive and significant effects on carbon emissions level in the long run. Results of the direction of causality tests show that there is a two‐way causality between globalization and carbon emissions, while result also shows one‐way causality running from international tourism to carbon emissions level in the long‐run in the case of the TIS. Thus, globalization‐tourism‐induced EKC hypothesis is suggested in the case of TIS.
Environmental regulations and inward FDI in China: Fresh evidence from the asymmetric autoregressive distributed lag approach
Authors: Ullah Assad , Zhao Xinshun , Abdul Kamal Muhammad , Zheng Jiajia 
Published: September 2020

AbstractThe relationship between environmental regulations and foreign direct investment (FDI) has garnered extensive attention, particularly in the context of China. The puzzle of whether environmental regulations deter or lure FDI has not resolved to the satisfaction of the curious mind. This research endeavor is to answer the question by exploring the asymmetric association between environmental regulations and FDI in China; utilizing a novel nonlinear autoregressive distributed lag (NARDL) approach. Our main results affirm that environmental regulations and FDI move together in the long‐run, and there is dependable evidence of asymmetry. We notice that FDI inflows react differently in response to positive and negative shocks of environmental regulations both in the long‐ and short‐run. The findings of our study corroborate both the “Pollution Haven” and the “Pollution Halo” hypotheses in China. The Chinese policymakers should strike a balance between environmental stringency and leniency pertaining to inbound FDI for sustainable economic growth—concurrently keeping environmental issues at bay.
Developmental and medical factors associated with parenting stress in mothers of toddlers born very preterm in a neonatal follow‐up clinic
Authors: Dempsey Allison G. , Keller‐Margulis Milena A. 
Published: September 2020

ABSTRACTThe purpose of this exploratory, cross‐sectional study was to identify child‐related factors associated with maternal parenting stress in toddlers born very preterm and followed in a neonatal follow‐up (NFU) clinic. The study aimed to describe the associations of current medical complications and presence of developmental delays with total parenting stress. Participants were 53 mother–child dyads presenting in a NFU clinic. Mothers completed the Parenting Stress Index‐Short Form (PSI‐SF), and children were administered the Brigance Early Head Start Screen II. Medical variables were also collected from the child's medical record. Approximately 24% of mothers had at least one elevated subscale score on the PSI‐SF. Regression analyses indicated that receipt of early intervention services was associated with increased parenting stress among mothers of toddlers born very preterm, though number of current medical complications was not. Parents of children born very preterm are at increased risk for parenting stress that extends beyond discharge from the neonatal intensive care unit . Clinicians working in NFU clinics are positioned to monitor for increased parenting stress, particularly among families of children with emerging signs of developmental delay.
Overall introduction to irrigation and drainage development and modernization in China*
Authors: Chen Mingzhong , Gao Zhanyi , Wang Yunhui 
Published: September 2020

AbstractDuring the last 70 years the development of irrigation schemes has made great progress in China. The total irrigated area has been developed from 15.9 million ha in 1949 to 68.3 million ha in 2018, and the irrigated area contributes 75% of the total grain production and 90% of cash crop production. Technical research and application have contributed significantly to the development of irrigation schemes in China. This paper introduces the irrigation and drainage developments, and technical research and application on water resource projects and conjunctive use water resources, canal systems, low‐pressure pipeline and on‐farm irrigation techniques, drainage techniques, information technology, reform of management mechanisms and standards for design and construction. This paper also introduces the planning for modernization of irrigation schemes in China. © 2020 John Wiley & Sons, Ltd.
Simulation of rainfall and runoff time series using robust machine learning*
Authors: Alizadeh Amir , Rajabi Ahmad , Shabanlou Saeid , Yaghoubi Behrouz , Yosefvand Fariborz 
Published: September 2020

AbstractIn this paper, the precipitation and runoff time‐series data of the Shaharchay River basin from 2000 to 2017 are simulated by a modern hybrid artificial intelligence technique. In order to develop the mentioned artificial intelligence model, the extreme learning machine (ELM), differential evolution and wavelet transform are combined and the SAELM and WASAELM hybrid models are provided. Initially, the most effective lags of the time‐series data are distinguished using an autocorrelation function. Using the lags, seven artificial intelligence models are defined for each of the SAELM and WSAELM models. To simulate precipitation and runoff, the sym and coif mother wavelets are chosen as the optimal ones, respectively. For the best model, the values of R2, the scatter index and the Nash–Sutcliffe efficiency coefficient (NSC) for simulating precipitation yielded 0.967, 0.208 and 0.965, respectively. Furthermore, a sensitivity analysis shows that the lags (t‐1), (t‐2) and (t‐12) are regarded as the most effective input lags. Ultimately, an uncertainty analysis is carried out for the superior model that the performance of this model in simulating precipitation and runoff is over‐ and underestimated, respectively.
Inside Cover
Authors: Lezhnina Marina M. , Rochowiak Weronika , Göhde Wolfgang , Kuczius Rauni , Kynast Ulrich 
Published: September 2020

AbstractRare earth ions complexes provide numerous highly beneficial optical properties ‐ unusually large Stokes shifts, very narrow line emissions and long‐lived excited states being the most prominent of them. Surprisingly few attempts have this far been reported to directly exploit them as direct microbial stains. M. Lezhnina and coworkers here describe basic staining strategies for fluorescence microscopy and outline their eventual potential in fluorescence flow cytometry.Further details can be found in the article by Marina M. Lezhnina, Weronika Rochowiak, Wolfgang Göhde, Rauni Kuczius, and Ulrich Kynast (e202000068).
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Dietary Inflammatory Index is associated with Healthy Eating Index, Alternative Healthy Eating Index, and dietary patterns among Iranian adults
Authors: Asadi Zahra , Ghaffarian Zirak Roshanak , Yaghooti Khorasani Mahdiyeh , Saedi Mostafa , Parizadeh Seyed Mostafa , Jafarzadeh‐Esfehani Reza , Khorramruz Fateme , Jandari Sajedeh , Mohammadi‐Bajgiran Maryam , Zare‐Feyzabadi Reza , Esmaily Habibollah , Rahimi Hamid Reza , Tayefi Maryam , Ferns Gordon A. , Shivappa Nitin , Hébert James R. , Ghazizadeh Hamideh , Ghayour‐Mobarhan Majid 
Published: September 2020

AbstractBackgroundRecent investigations have evaluated the effect of the inflammatory potential of diet in several populations by calculating the Dietary Inflammatory Index (DII) score. We aimed to evaluate the association of the DII with the Healthy Eating Index (HEI), the Alternative Healthy Eating Index (AHEI), and dietary pattern (DP) among healthy Iranian adults.MethodsA cross‐sectional study was conducted among 4365 middle‐aged adults. Major DPs and DII score were identified using a validated semi‐quantitative food frequency questionnaire (FFQ). Poisson regression was used to evaluate the association of DPs, HEI, and AHEI across tertiles of DII.ResultsAfter adjustment for confounding variables, a low HEI (HEI < 55) and AHEI (AHEI < 56.5) were more prevalent among the participants in the highest tertile of DII compared to the first tertile (PR: 1.13, P‐value <.05; PR: 1.10, P‐value <.05; respectively). Adherence to a balanced healthy dietary pattern was significantly lower in subjects with a diet that was more pro‐inflammatory compared to those with anti‐inflammatory diet (PR: 0.85, P‐value P < .01). No significant association was found between the DII and a western DP. High levels of HDL and hip and waist circumference were observed in the highest tertile of DII, and high levels of dietary intake of protein and fiber, minerals, fasting blood glucose, and monounsaturated fat were reported in the lowest tertile of DII.ConclusionThe highest tertile of the DII (a pro‐inflammatory diet) was associated with a lower HEI, AHEI, and lower adherence to balanced DP in a representative sample of adults in Iran.
Ethnic, geographic, and seasonal differences of vitamin D status among adults in south‐west China
Authors: Li Lin , Li Kecheng , Li Jing , Luo Yulei , Cheng Yuheng , Jian Meiling , Xie Chunbao , Ji Chengjie , Chuan Liangmin , Wang Zhibin , Li Haijun , Guo Xiaolan , Liu Jinbo , Jiang Li 
Published: September 2020

AbstractBackgroundThere are limited data on vitamin D status of Sichuan province, and no investigation has been carried out on the correlations of 25(OH)D and BTMs between healthy Hans and Tibetans of Sichuan province. This study aimed to examine 25(OH)D levels around Sichuan province and to assess differences by ethnicity, age, gender, sunlight exposure, geographic location, and seasons.MethodsBlood samples from 2317 healthy adults aged of 18 to 75 years and of Han and Tibetan ethnicities were collected in six regions and during four seasons. Serum 25(OH)D2 and 25(OH)D3 levels were measured by LC‐MS/MS method. Serum total P1NP and β‐CTX were measured by immunoassay.ResultsParticipants aged 18‐40 years showed significantly lower 25(OH)D levels than participants aged 41‐75 years old (P < .0001). The median serum 25(OH)D level for males was significantly higher than that of females (P < .0001). Serum 25(OH)D levels among four seasons and different districts varied significantly (P < .0001). In addition, the 25(OH)D level of Tibetans was significantly lower than that of Hans, while the serum total P1NP and β‐CTX levels of Tibetans were significantly higher than those of Hans (P < .0001).ConclusionAdult population was more common to have vitamin D deficiency/insufficiency among Tibetans, females, north regions and in spring and winter.
Evaluation and Development of Vancomycin Dosing Schemes to Meet New AUC/MIC Targets in Intermittent Hemodialysis Using Monte Carlo Simulation Techniques
Authors: Lewis Susan J. , Mueller Bruce A. 
Published: September 2020

AbstractPublished vancomycin dosing recommendations for patients receiving maintenance hemodialysis were not designed to meet newly recommended 24‐hour area under the curve/minimum inhibitory concentration (AUC24h/MIC) pharmacokinetic/pharmacodynamic targets. The aims of this study were to predict pharmacokinetic/pharmacodynamic target attainment rates with a commonly used vancomycin regimen and to design a new dosing scheme incorporating therapeutic drug monitoring (TDM) to maximize target attainment in patients receiving vancomycin and hemodialysis with high‐ or low‐flux hemodialyzers. Vancomycin pharmacokinetic‐ and dialysis‐specific parameters were incorporated into Monte Carlo simulations (MCS). A commonly used vancomycin regimen was modeled to determine its likelihood of attaining AUC24h/MIC targets for 1 week of thrice‐weekly hemodialysis treatments. MCS was then used to develop optimal initial vancomycin dosing for patients receiving intradialytic or postdialytic vancomycin administration with either high‐ or low‐flux hemodialyzers. Finally, a new MCS model incorporating TDM was built to further optimize the probability of pharmacokinetic/pharmacodynamic target attainment. Traditional vancomycin dosing methods are unlikely to meet AUC24h/MIC targets. Vancomycin doses necessary to attain AUC24h/MIC targets are significantly influenced by hemodialyzer permeability and whether vancomycin is administered intradialytically or after hemodialysis. Depending on dialyzer type and whether vancomycin is administered during or after hemodialysis, loading doses of 25 to 35 mg/kg followed by maintenance doses of 7.5 to 15 mg/kg are necessary to reach minimum AUC24h/MIC targets in 90% of virtual patients. For a 3‐day interdialytic period, a 30% higher maintenance dose is required to maintain target attainment. Dosing based on a single vancomycin serum concentration obtained prior to the second dialysis session greatly enhances the probability of target attainment.
Food availability alters expression profiles of genes in relation to reproduction and nutrition in the females of tropical damselfish (Chrysiptera cyanea)
Authors: Mahardini Angka , Rizky Dinda , Byun Jun‐Hwan , Yamauchi Chihiro , Takeuchi Yuki , Takemura Akihiro 
Published: September 2020

AbstractThis study evaluated the effects of food availability on the transcript levels of genes related to reproduction and growth in the sapphire devil (Chrysiptera cyanea), a tropical damselfish. Nonbreeding fish were reared at high‐food (HF) and low‐food (LF) levels for 4 weeks under long‐days. Vitellogenic oocytes could be observed in the ovaries of the HF group. The quantitative polymerase chain reaction analysis revealed that lhβ and cyp19b in the brains, vtg and igf1 in the livers and cyp19a in the ovaries of HF fish were significantly higher than that of LF fish, suggesting that estradiol‐17β (E2) synthesis in the ovary and brain is activated when suitable permissive factors are available to fish. Food limitation lowered hepatic igf1 and dio2, suggesting that the TH‐IGF1 signaling system functions in the liver, and that food availability altered hepatic deiodination activities related to intercellular levels of thyroid hormones. Hepatic dio2 significantly decreased when fish were immersed for 3 days in E2‐containing seawater; this suggests that E2 impedes the conversion of T4 to T3 in the liver. Our study shows that igf1 was upregulated in accordance with HF‐induced vitellogenesis but downregulated by E2 treatment, suggesting that igf1 is bidirectional and altered by maturational status. Once vitellogenesis begins under a suitable range of proximal factors, fish need to maintain their nutritional status because food availability is a permissive factor for their reproduction.
Body size impacts critical thermal maximum measurements in lizards
Authors: Claunch Natalie M. , Nix Emmeleia , Royal Averil E. , Burgos Luis P. , Corn Megan , DuBois P. Mason , Ivey Kathleen N. , King Elina C. , Rucker Kiley A. , Shea Tanner K. , Stepanek John , Vansdadia Sunny , Taylor Emily N. 
Published: September 2020

AbstractUnderstanding the mechanisms behind critical thermal maxima (CTmax; the high body temperature at which neuromuscular coordination is lost) of organisms is central to understanding ectotherm thermal tolerance. Body size is an often overlooked variable that may affect interpretation of CTmax, and consequently, how CTmax is used to evaluate mechanistic hypotheses of thermal tolerance. We tested the hypothesis that body size affects CTmax and its interpretation in two experimental contexts. First, in four Sceloporus species, we examined how inter‐ and intraspecific variation in body size affected CTmax at normoxic and experimentally induced hypoxic conditions, and cloacal heating rate under normoxic conditions. Negative relationships between body size and CTmax were exaggerated in larger species, and hypoxia‐related reductions in CTmax were unaffected by body size. Smaller individuals had faster cloacal heating rates and higher CTmax, and variation in cloacal heating rate affected CTmax in the largest species. Second, we examined how body size interacted with the location of body temperature measurements (i.e., cloaca vs. brain) in Sceloporus occidentalis, then compared this in living and deceased lizards. Brain temperatures were consistently lower than cloacal temperatures. Smaller lizards had larger brain‐cloacal temperature differences than larger lizards, due to a slower cloacal heating rate in large lizards. Both live and dead lizards had lower brain than cloacal temperatures, suggesting living lizards do not actively maintain lower brain temperatures when they cannot pant. Thermal inertia influences CTmax data in complex ways, and body size should therefore be considered in studies involving CTmax data on species with variable sizes.
Structural integrity with functional plasticity: what type I IFN receptor polymorphisms reveal
Authors: de Weerd Nicole A , Vivian Julian P , Lim San S , Huang Stephanie U-Shane , Hertzog Paul J 
Published: September 2020

AbstractThe type I IFNs activate an array of signaling pathways, which are initiated after IFNs bind their cognate receptors, IFNα/β receptor (IFNAR)1 and IFNAR2. These signals contribute to many aspects of human health including defense against pathogens, cancer immunosurveillance, and regulation of inflammation. How these cytokines interact with their receptors influences the quality of these signals. As such, the integrity of receptor structure is pivotal to maintaining human health and the response to immune stimuli.This review brings together genome wide association studies and clinical reports describing the association of nonsynonymous IFNAR1 and IFNAR2 polymorphisms with clinical disease, including altered susceptibility to viral and bacterial pathogens, autoimmune diseases, cancer, and adverse reactions to live-attenuated vaccines. We describe the amino acid substitutions or truncations induced by these polymorphisms and, using the knowledge of IFNAR conformational changes, IFNAR-IFN interfaces and overall structure-function relationship of the signaling complexes, we hypothesize the effect of these polymorphisms on receptor structure. That these predicted changes to IFNAR structure are associated with clinical manifestations of human disease, highlights the importance of IFNAR structural integrity to maintaining functional quality of these receptor-mediated responses.Type I IFNs are pivotal to innate immune responses and ultimately, to human health. Understanding the consequences of altered structure on the actions of these clinically significant cell receptors provides important information on the roles of IFNARs in health and disease.