bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of micro‐ and nanoplastics on the physiology and metabolism of Portunus trituberculatus
Authors: Chen Xiaocong , Sun Yixin , Feng Zhihua , Mu Changkao , Zhang Tao 
Published: February 2024

AbstractPortunus trituberculatus is important in coastal benthic communities and a favorite seafood for coastal residents. However, microplastics have been detected in different tissues of P. trituberculatus, but the toxicological effects of micro‐ and nanoplastics (MNPs) on the different tissues of P. trituberculatus have not been reported. We found that the lethal effect of MNPs on P. trituberculatus is not obvious, but they can stimulate the body's stress response. The responses of P. trituberculatus tissues to MNPs are different, which may be due to differences in enzyme reactions between tissues and organs. Compared with microplastics (MPs), nanoplastics (NPs) have a more significant physiological and metabolic stress effect on P. trituberculatus because of their smaller particle size. In summary, plastic particles have physiological stress effects on the physiological metabolism of P. trituberculatus, which may be closely related to the plastic's particle size and concentration.
Directing Group Assisted Copper‐Catalyzed C−H sulfanylation of Alkenyl Carbonyl Compounds with Disulfides
Authors: Bai Yan‐Mei , Ai Lu‐Lu , Zhang Xin‐Mei , Wu Fang‐Hui , Kang Yan‐Shang 
Published: February 2024

AbstractA highly efficient and straightforward copper‐catalyzed sulfanylation of acrylamides with readily available disulfides has been developed. Through 8‐aminoquinoline‐assisted activation of the alkenyl C−H bond, a broad scope of (Z)‐alkenyl sulfides were constructed in moderate to excellent yields with good compatibility of functional groups. Moreover, the bidentate directing auxiliary promotes high regioselectivity of (Z)‐β‐alkenyl sulfides, and enables the excellent performance of copper catalyst in this transformation.
Strategic drivers for the deployment of energy economics principles in the developing construction industry: A Nigerian perspective
Authors: Oke Ayodeji Emmanuel , Aliu John , Ebekozien Andrew , Akinpelu Taiwo Marcus , Olatunde Tosin Michael , Ogunsanya Oluwabukunmi A. 
Published: February 2024

AbstractIn developing countries, there is a scarcity of research focusing on the factors that drive the adoption and utilization of energy economics principles (EEPs). EEPs encompass a diverse set of strategies and practices designed to encourage energy efficiency, promote the adoption of renewable energy sources, and foster sustainable energy practices among construction stakeholders. Despite their potential benefits, such as reducing energy consumption and greenhouse gas emissions, there remains a knowledge gap regarding the specific drivers influencing the implementation of EEPs in developing countries. Therefore, this study addresses this knowledge gap by examining the primary drivers for utilizing EEPs in the Nigerian construction industry. To achieve this objective, a quantitative research approach was adopted. Close‐ended questionnaires were developed and distributed to professionals in the construction industry, encompassing architects, builders, engineers, and quantity surveyors. The normality of the data was confirmed through univariate skewness and kurtosis analysis. Based on the relative importance index (RII) and mean scores, the highest‐ranked driver was government policies and regulations, followed by economic growth and job creation. Environmental sustainability ranked third, while energy cost savings and return on investment occupied the fourth and fifth positions respectively. Through exploratory factor analysis and fuzzy synthetic evaluation, six key criteria that drive the adoption of EEPs were identified: financial‐related drivers, environmental‐related drivers, social‐related drivers, government‐related drivers, technological‐related drivers, and behavioral‐related drivers. By identifying these six distinct clusters of drivers, this study enhances the understanding of the drivers for implementing EEPs, ultimately facilitating the transition to more energy‐efficient and sustainable practices in the construction sector and beyond.
Mitigating type 1 error inflation and power loss in GxE PRS: Genotype–environment interaction in polygenic risk score models
Authors: Jayasinghe Dovini , Momin Md. Moksedul , Beckmann Kerri , Hyppönen Elina , Benyamin Beben , Lee S. Hong 
Published: February 2024

AbstractThe use of polygenic risk score (PRS) models has transformed the field of genetics by enabling the prediction of complex traits and diseases based on an individual's genetic profile. However, the impact of genotype–environment interaction (GxE) on the performance and applicability of PRS models remains a crucial aspect to be explored. Currently, existing genotype–environment interaction polygenic risk score (GxE PRS) models are often inappropriately used, which can result in inflated type 1 error rates and compromised results. In this study, we propose novel GxE PRS models that jointly incorporate additive and interaction genetic effects although also including an additional quadratic term for nongenetic covariates, enhancing their robustness against model misspecification. Through extensive simulations, we demonstrate that our proposed models outperform existing models in terms of controlling type 1 error rates and enhancing statistical power. Furthermore, we apply the proposed models to real data, and report significant GxE effects. Specifically, we highlight the impact of our models on both quantitative and binary traits. For quantitative traits, we uncover the GxE modulation of genetic effects on body mass index by alcohol intake frequency. In the case of binary traits, we identify the GxE modulation of genetic effects on hypertension by waist‐to‐hip ratio. These findings underscore the importance of employing a robust model that effectively controls type 1 error rates, thus preventing the occurrence of spurious GxE signals. To facilitate the implementation of our approach, we have developed an innovative R software package called GxEprs, specifically designed to detect and estimate GxE effects. Overall, our study highlights the importance of accurate GxE modeling and its implications for genetic risk prediction, although providing a practical tool to support further research in this area.
Cover Image
Authors: Dou Lirong , Zhang Xinshun , Xiao Kunye , Xi Dangpeng , Du Yebo , Wang Li , Hu Jie , Hu Ying , Zheng Qianyu 
Published: February 2024

The cover image is based on the Research Article Early Cretaceous (Aptian to Albian) vegetation and climate change in Central Africa: Novel palynological evidence from the Doseo Basin by Lirong Dou et al., https://doi.org/10.1002/gj.4873.image
Malignancy risk of indeterminate lymph node at the central compartment in patients with thyroid cancer and concomitant sonographic thyroiditis
Authors: Rhim Jung Hyo , Lee Ji Ye , Park Sun‐Won , Lee Younghen , Jung So Lyung , Yun Tae Jin , Ha Eun Ju , Baek Jung Hwan , Kim Jinna , Na Dong Gyu , Kim Ji‐hoon 
Published: February 2024

AbstractBackgroundTo evaluate the malignancy risk of sonographic (US) indeterminate lymph node (LN)s at the central compartment in thyroid cancer patients with US‐thyroiditis (ST).MethodsAmong the central compartments of suspicious, indeterminate, and probably benign LN US categories, the malignancy rates were compared between ST and non‐US‐thyroiditis (non‐ST) groups. Those of indeterminate category were compared with suspicious and probably benign categories.ResultsAt 531 central compartments from 349 patients, the malignancy rate was lower in ST group (34.4% [44/128]) than non‐ST group (43.4% [175/403]), although statistically not significant (p = 0.08). The malignancy rate of indeterminate category in ST group (35.7% [5/14]) was lower than non‐ST group (71.9% [23/32]) (p = 0.047). Within ST group, the malignancy rate of indeterminate category (35.7% [5/14]) did not differ from probably benign category (29.1% [30/103]) (p = 0.756), but was lower than suspicious category (81.8% [9/11]) (p = 0.042).ConclusionsThe malignancy risk of US indeterminate LNs at the central compartment in thyroid cancer patients with US thyroiditis was lower than that in patients without US thyroiditis.
Ureteral reimplantation for the management of pelvic lipomatosis
Authors: Zong Dapeng , Xu Xin , Yan Kai , Xu Nianbiao , Jiang Xingkang , Xu Guoping , Ma Baojie 
Published: February 2024

IntroductionPelvic lipomatosis is a rare benign disease characterized by urethral elongation, bladder deformity, and/or hydronephrosis. Conservative management is not effective, and urinary diversion is the most effective treatment option but is usually unacceptable for relatively young patients. Ureteral reimplantation seemed to be an appropriate modality under these conditions. We present one case in which pelvic lipomatosis was managed with ureteral reimplantation.Patient presentationA 45‐year‐old, previously healthy man presented with right flank pain. Pelvic CT and CT urography showed excessive pelvic fat, bilateral hydronephrosis, tortuous ureters, and a pear‐shaped bladder, all of which indicated a diagnosis of pelvic lipomatosis. We performed laparoscopic bilateral urinary tract infection on this patient. At follow‐up, bilateral hydronephrosis and flank pain were greatly relieved.ConclusionPelvic lipomatosis can be managed safely and effectively by urinary tract infection, but longer follow‐up periods are needed to evaluate the long‐term efficacy of this approach.
Rapid and accurate identification of marine bacteria spores at a single‐cell resolution by laser tweezers Raman spectroscopy and deep learning
Authors: Hu Jianchang , He Lin , Wang Guiwen , Liu Liwei , Wang Yiping , Song Jun , Qu Junle , Peng Xiao , Yuan Yufeng 
Published: February 2024

AbstractMarine bacteria have been considered as important participants in revealing various carbon/sulfur/nitrogen cycles of marine ecosystem. Thus, how to accurately identify rare marine bacteria without a culture process is significant and valuable. In this work, we constructed a single‐cell Raman spectra dataset from five living bacteria spores and utilized convolutional neural network to rapidly, accurately, nondestructively identify bacteria spores. The optimal CNN architecture can provide a prediction accuracy of five bacteria spore as high as 94.93% ± 1.78%. To evaluate the classification weight of extracted spectra features, we proposed a novel algorithm by occluding fingerprint Raman bands. Based on the relative classification weight arranged from large to small, four Raman bands located at 1518, 1397, 1666, and 1017 cm−1 mostly contribute to producing such high prediction accuracy. It can be foreseen that, LTRS combined with CNN approach have great potential for identifying marine bacteria, which cannot be cultured under normal condition.
Design, synthesis, and pesticidal activities of novel pyrimidin‐4‐amine derivatives containing trifluoroethyl sulfide moiety
Authors: Li Guojun , Liu Aiping , Xiao Ting , Long Chuyun , Ouyang Wensen , Li Jun , Li Jianming , Hu Li , Lan Shilin , Xie Jianjun 
Published: February 2024

AbstractIn order to overcome the problem of pesticide resistance, it is necessary to discover novel pesticides with new mechanisms of action. Herein, a series of novel pyrimidin‐4‐amine derivatives containing trifluoroethyl sulfide moiety were designed and synthesized. Bioassays indicated that the title compounds synthesized possessed excellent acaricidal activity against Tetranychus urticae and fungicidal activity against Erysiphe graminis and Puccinia sorghi. Especially, the acaricidal activity of 5‐chloro‐6‐(difluoromethyl)‐N‐(2‐(2‐fluoro‐4‐methyl‐5‐((2,2,2‐trifluoroethyl)thio)phenoxy)ethyl)pyrimidin‐4‐amine (compound T4, LC50 = 0.19 mg/L) against T. urticae was close to commercial acaricide cyenopyrafen, and the fungicidal activity of 5‐chloro‐6‐(difluoromethyl)‐2‐methyl‐N‐(2‐(3‐((2,2,2‐trifluoroethyl)thio)phenoxy)ethyl)pyrimidin‐4‐amine (compound T15, EC50 = 1.32 mg/L) against P. sorghi. was superior to commercial fungicide tebuconazole. The synthesis and characterization of these compounds were given and the structure–activity relationships were discussed.
救急外来でdual energy CTによる診断を行った高齢者脊椎骨折の3例(Three cases of vertebral fractures in elderly patients diagnosed by dual energy CT in the emergency department)
Authors: 滋雄 日上 , 誠司 守田 , 真理子 杉田 , 和之 遠藤 , 貞樹 猪口 , 光泉 長谷部 , 儀英 中川 
Published: February 2024

要旨Dual–energy computed tomography（DECT）は2つの異なるエネルギーレベルのX線を用いる撮像装置で，様々な元素を識別できる。皮質骨や海面骨からカルシウムを識別・除去するvirtual non–calcium法を用いて，通常のCTでは診断困難な骨折に伴う骨髄浮腫や軟部組織損傷を診断できるが，本邦で救急搬送例に用いた報告は少ない。今回我々は，救急搬送された脊椎骨折3例をDECTで診断したので報告する。症例1は85歳の女性，L1の新鮮圧迫骨折，症例2は85歳の女性，自転車転倒によるL2の陳旧性骨折内の新鮮圧迫骨折，症例3は83歳の女性，自宅内での転倒によるS2の骨折で，いずれもDECTで骨髄浮腫を診断でき，MRIで確定した。高齢化社会が進むなか，救急外来におけるMRIが実施困難な骨折例への代替検査法としてDECTが一定の役割を果たすことが期待される。
コロナウイルスm–RNAワクチンに関連する可能性がある劇症型心筋炎をV–A ECMOにより救命し社会復帰できた1例(Fulminant myocarditis with possible association to coronavirus m–RNA vaccine and full recovery after veno–arterial extracorporeal membrane oxygenation (VA–ECMO): Case report)
Authors: 悠 松本 , 喬之 鈴木 , 拓磨 中嶋 , 明日美 水柿 , 雄太 小林 , 琢真 佐藤 , 峰司 早川 
Published: February 2024

要旨　症例は22歳男性，特記すべき既往，家族歴はない。コロナウイルス修飾ウリジンRNAワクチンの3回目接種を行った翌日，発熱と胸部違和感を認め，近隣医療機関を受診したが，心電図異常なく帰宅となった。接種翌々日に胸痛が増悪し当院に搬入された。搬入時は発熱と増悪する胸痛，心電図上でST上昇を認め，心筋トロポニンTおよびヒト脳性ナトリウム利尿ペプチド前駆体N端フラグメントの上昇を認め，コロナウイルスワクチンに関連する心筋炎の疑いとして入院とした。入院7時間後に突如，心室細動を認めた。胸骨圧迫のみで洞調律へ復帰したが，複数回心室細動を繰り返し，左室駆出率も著明に低下したため，静脈–動脈体外式膜型人工肺（veno arteria extracorporeal membrane oxygenation: VA–ECMO）を導入した。その後，心機能は改善し，第4病日にVA–ECMO離脱，第28病日に自宅退院となった。ワクチン関連の心筋炎は一般的な心筋炎と同様に急速に増悪する可能性があり，モニタリングを行いながら，慎重な経過観察が必要と思われる。
Reference Values for Water‐Specific T1 of the Liver at 3 T: T2*‐Compensation and the Confounding Effects of Fat
Authors: Thompson Richard B. , Sherrington Rachel , Beaulieu Christian , Kirkham Amy , Paterson David I. , Seres Peter , Grenier Justin 
Published: February 2024

BackgroundT1 mapping of the liver is confounded by the presence of fat. Multiparametric T1 mapping combines fat‐water separation with T1‐weighting to enable imaging of water‐specific T1 (T1Water), proton density fat fraction (PDFF), and T2* values. However, normative T1Water values in the liver and its dependence on age/sex is unknown.PurposeDetermine normative values for T1Water in the liver with comparison to MOLLI and evaluate a T2*‐compensation approach to reduce T1 variability.Study TypeProspective observational; phantoms.PopulationsOne hundred twenty‐four controls (56 male, 18–75 years), 50 patients at‐risk for liver disease (18 male, 30–76 years).Field Strength/Sequence2.89 T; Saturation‐recovery chemical‐shift encoded T1 Mapping (SR‐CSE); MOLLI.AssessmentSR‐CSE provided T1Water measurements, PDFF and T2* values in the liver across three slices in 6 seconds. These were compared with MOLLI T1 values. A new T2*‐compensation approach to reduce T1 variability was evaluated test/re‐test reproducibility.Statistical TestsLinear regression, ANCOVA, t‐test, Bland and Altman, intraclass correlation coefficient (ICC). P < 0.05 was considered statistically significant.ResultsLiver T1 values were significantly higher in healthy females (F) than males (M) for both SR‐CSE (F‐973 ± 78 msec, M‐930 ± 72 msec) and MOLLI (F‐802 ± 55 msec, M‐759 ± 69 msec). T1 values were negatively correlated with age, with similar sex‐ and age‐dependencies observed in T2*. The T2*‐compensation model reduced the variability of T1 values by half and removed sex‐ and age‐differences (SR‐CSE: F‐946 ± 36 msec, M‐941 ± 43 msec; MOLLI: F‐775 ± 35 msec, M‐770 ± 35 msec). At‐risk participants had elevated PDFF and T1 values, which became more distinct from the healthy cohort after T2*‐compensation. MOLLI systematically underestimated liver T1 values by ~170 msec with an additional positive T1‐bias from fat content (~11 msec/1% in PDFF). Reproducibility ICC values were ≥0.96 for all parameters.Data ConclusionLiver T1Water values were lower in males and decreased with age, as observed for SR‐CSE and MOLLI acquisitions. MOLLI underestimated liver T1 with an additional large positive fat‐modulated T1 bias. T2*‐compensation removed sex‐ and age‐dependence in liver T1, reduced the range of healthy values and increased T1 group differences between healthy and at‐risk groups.Evidence Level2Technical EfficacyStage 1
Addressing challenges with evaluating hydrogen‐selective membrane performance by quadrupole mass spectrometry
Authors: Kurtishaj Ardita , Žumer Marko , Nemanič Vincenc , Cvelbar Uroš 
Published: February 2024

AbstractHydrogen separation using nanostructured membranes has gained research attention because of its potential to produce high‐purity hydrogen by separating gases at the molecular level. Quadrupole mass spectrometry (QMS) is one method to evaluate these membranes' effectiveness in separating hydrogen from gas mixtures. However, quantifying gases in a mixture with QMS is challenging, especially when heavier gas ions interfere with a light gas ion, resulting in lower quantification accuracy. This study addresses this challenge by presenting a detailed calibration procedure that significantly improves hydrogen quantification accuracy up to a factor of 2.5. CO and CO2 were chosen as interfering gases because they are commonly released in conventional hydrogen production processes. By carefully evaluating the performance of these membranes, new opportunities for hydrogen separation may be realized.
Machine learning versus multivariate logistic regression for predicting severe COVID‐19 in hospitalized children with Omicron variant infection
Authors: Liu Pan , Xing Zixuan , Peng Xiaokang , Zhang Mengyi , Shu Chang , Wang Ce , Li Ruina , Tang Li , Wei Huijing , Ran Xiaoshan , Qiu Sikai , Gao Ning , Yeo Yee Hui , Liu Xiaoguai , Ji Fanpu 
Published: February 2024

AbstractWith the emergence of the Omicron variant, the number of pediatric Coronavirus Disease 2019 (COVID‐19) cases requiring hospitalization and developing severe or critical illness has significantly increased. Machine learning and multivariate logistic regression analysis were used to predict risk factors and develop prognostic models for severe COVID‐19 in hospitalized children with the Omicron variant in this study. Of the 544 hospitalized children including 243 and 301 in the mild and severe groups, respectively. Fever (92.3%) was the most common symptom, followed by cough (79.4%), convulsions (36.8%), and vomiting (23.2%). The multivariate logistic regression analysis showed that age (1–3 years old, odds ratio (OR): 3.193, 95% confidence interval (CI): 1.778–5.733], comorbidity (OR: 1.993, 95% CI:1.154–3.443), cough (OR: 0.409, 95% CI:0.236–0.709), and baseline neutrophil‐to‐lymphocyte ratio (OR: 1.108, 95% CI: 1.023–1.200), lactate dehydrogenase (OR: 1.993, 95% CI: 1.154–3.443), blood urea nitrogen (OR: 1.002, 95% CI: 1.000–1.003) and total bilirubin (OR: 1.178, 95% CI: 1.005–3.381) were independent risk factors for severe COVID‐19. The area under the curve (AUC) of the prediction models constructed by multivariate logistic regression analysis and machine learning (RandomForest + TomekLinks) were 0.7770 and 0.8590, respectively. The top 10 most important variables of random forest variables were selected to build a prediction model, with an AUC of 0.8210. Compared with multivariate logistic regression, machine learning models could more accurately predict severe COVID‐19 in children with Omicron variant infection.
Climate and community in Central Mesa Verde
Authors: Field Sean , Glowacki Donna M. 
Published: February 2024

ABSTRACTPeriods of acute climate stress – the convergence of low subsistence yields due to poor climate conditions and ineffective buffering strategies due to climate variability – critically reduces peoples’ ability to subsist and mitigate food shortages, thereby creating conditions that could result in profound social change. Here, paleoclimate reconstructions are used to identify periods of acute stress at three large Ancestral Pueblo villages in the US Southwest. These periods are examined in relation to occupation histories at each village showing that in certain instances, acute climate stress played a primary role in people's decisions to leave communities. However, not all of the communities reacted to stress in the same way indicating that distinct patterns of climate and social context played an important role in influencing how acute climate stress was experienced by different groups. Results from this study highlight the importance of community‐specific histories when considering the impact of climate stress on past people.
Formation of factors of creation of multi‐purpose cadaster in Ukraine at the regional level
Authors: Bieliatynskyi Andrii , Mamonov Kostyantyn , Shao Meiyu , Holovachov Vitalii , Kanivets Olena 
Published: February 2024

AbstractModern conditions in Ukraine require a rethinking of approaches to the formation of rights, restrictions, responsibilities, real estate accounting, and assessment of factors influencing these processes. Therefore, the article aims to identify the factors affecting the formation and use of the multi‐purpose cadaster as a multi‐level information system, which allows it to form a systemic environment and develop the theoretical and methodological foundations of the territorial development of regions. As a result, it is established that the multi‐purpose cadaster is a modern information system that forms the basis for the implementation of the European land administration system, provides land and real estate management, taking into account spatial, urban, environmental, and investment factors, and the level of stakeholder interaction at the regional level. Finally, the relevance of the research consists in the fact that military actions, the consequences of the COVID‐19 pandemic, deforming economic transformations, imbalances in regional ties, and social imbalances have a negative impact. In such conditions, the development and implementation of a multi‐purpose cadaster at the regional level are of particular importance, taking into account the impact of spatial, urban, environmental, and investment factors and European experience in implementing land relations.
Biotic and thermal drivers alter zooplankton phenology in western Lake Erie
Authors: Bailey Jenna , Hood James M. 
Published: February 2024

AbstractEnvironmental change, particularly warming and eutrophication, can alter phenology in aquatic systems. Understanding controls on zooplankton phenology is important due to their central role in food webs. While patterns in zooplankton phenology have been well documented, we lack an understanding of how abiotic and biotic drivers influence lake zooplankton phenology during the summer. We examined the phenology of four common zooplankton taxa (Daphnia retrocurva, Skistodiaptomus oregonensis, Mesocyclops spp., Dreissenid veligers) in western Lake Erie during 1995–2022, a period with increasing eutrophication and Bythotrephes longimanus biomass. Many phenology metrics varied by 3 weeks or more from 1995 to 2022. The dominant controls of phenology were temperature and biotic factors, especially grazer‐defended phytoplankton (cyanobacteria and other colonial or filamentous taxa) and the invasive predator B. longimanus, which frequently interacted. Our results show that aspects of environmental change interact to shape zooplankton phenology, which can influence phytoplankton biomass and energy flow to higher trophic levels.