bluuebunny/crossref_metadata_2025_split huggingface dataset:
Density data for Lake Ontario benthic invertebrate assemblages from 1964 to 2018
Authors: Burlakova Lyubov E. , Karatayev Alexander Y. , Hrycik Allison R. , Daniel Susan E. , Mehler Knut , Rudstam Lars G. , Watkins James M. , Dermott Ronald , Scharold Jill , Elgin Ashley K. , Nalepa Thomas F. , Hinchey Elizabeth K. , Lozano Stephen J. 
Published: September 2021

AbstractBenthic invertebrates are important trophic links in aquatic food webs and serve as useful bioindicators of environmental conditions because their responses integrate the effects of both water and sediment qualities. However, long‐term data sets for benthic invertebrate assemblages across broad geographic areas are rare and, even if collected, historic data sets are often not readily accessible. This data set provides densities of benthic macroinvertebrates for all taxa collected during lake‐wide surveys in Lake Ontario, a Laurentian Great Lake, from 1964 to 2018. This information resulted from surveys funded by the governments of the United States and Canada to investigate the status and changes of Lake Ontario benthic community. Of the 13 lake‐wide benthic surveys conducted in Lake Ontario over the course of 54 yr, we were able to acquire taxonomic data to the species level for 11 of the surveys and data to the group level for the other two surveys. Density data are provided for taxa representing the Annelida, Arthropoda, Mollusca, Cnidaria, Nemertea, and Platyhelminthes phyla. Univariate and multivariate analyses revealed that the compositional structure of Lake Ontario invertebrate assemblages differed markedly by depth and were also significantly altered by the Dreissena spp. invasion in early 1990s. The introduction of invasive dreissenids has changed the community historically dominated by Diporeia, Oligochaeta, and Sphaeriidae, to a community dominated by quagga mussels and Oligochaeta. Considering the rarity of long‐term benthic data of high taxonomic resolution in lake ecosystems, this data set could be useful to explore broader aspects of ecological theory, including effects of different environmental factors and invasive species on community organization, functional and phylogenetic diversity, and spatial scale of variation in community structure. The data set could also be useful for studies on individual species including abundance and distribution, species co‐occurrence, and how the patterns of dominance and rarity change over space and time. Use of this data set for academic or educational purposes is encouraged as long as the data source is properly cited using the title of this Data Paper, the names of the authors, the year of publication, the journal name, and the article number.
Alkali Metal Hexafluorido Plumbates(IV) A2[PbF6] (A=Na−Cs) and Luminescence of the Mn4+‐substituted Compounds A2[PbF6] : Mn (A=Li−Cs) and Li2[MF6] : Mn (M=Ti, Ge, Sn)
Authors: Bandemehr Jascha , Baumann Dominik , Seibald Markus , Kraus Florian 
Published: September 2021

AbstractWe synthesized eight novel red‐emitting Mn4+‐substituted phosphors of the compositions A2[PbF6] : Mn (A=Li−Cs) and Li2[MF6] : Mn (M=Ti, Ge, Sn) using a dry‐chemical fluorination process which completely avoids the usage of hydrofluoric acid. Compared with the commonly used red‐emitter K2[SiF6] : Mn (KSF) the two synthesized phosphors Na2[PbF6] : Mn and Li2[GeF6] : Mn show a blue‐shift of their emission maximum, Na2[PbF6] : Mn even by 4.2 nm. The compounds were characterized by powder X‐ray diffraction, IR and emission spectroscopy. Additionally, we present the crystal structures of the unsubstituted compounds A2[PbF6] (A=Na−Cs). Na2[PbF6] crystallizes in the trirutile structure type, whereas the other three are isotypic to K2[GeF6] (space group P
).
Systems thinking and complexity science–informed evaluation frameworks: Assessment of The Economics of Ecosystems and Biodiversity for Agriculture and Food
Authors: Bustamante María , Vidueira Pablo , Baker Lauren 
Published: September 2021

AbstractDespite the increasing literature, applications, and discussions over the last 15 years, there remain questions about how to bring systems thinking and complexity science (STCS) into evaluation in ways that meaningfully enhance its practice, use, and results. One pathway forward is bridging the gap between the large STCS body of knowledge and evaluation practice by synthesizing STCS insights into actionable frameworks to support the work and role of those engaged in evaluation activities. This chapter aims to contribute to this challenge through two main goals. First, the authors develop an actionable STCS framework comprising ten guiding principles, identified through a review of STCS literature to support evaluation practitioners, researchers, and commissioners to bring STCS into evaluation. Secondly—and to test this STCS principles‐based framework—this chapter assesses the extent to which TEEBAgriFood, an STCS‐informed food systems evaluation framework, advances STCS into evaluation. Results provide learnings and insights about the use of STCS in evaluation design and practice.
Insights and future directions for systems and complexity‐informed evaluation
Authors: Walton Mat , Gates Emily F. , Vidueira Pablo 
Published: September 2021

AbstractWith the increasing maturity of systems thinking and complexity science (STCS) within evaluation, this issue of NDE provides case examples of contemporary application. This article identifies themes across case examples to identify emergent patterns and opportunities for the continued development of evaluation practices that draw upon STCS. Each article describes STCS and its applications within specific evaluation contexts. Our review across cases identified three themes: (1) the importance of setting boundaries around what is included and excluded from within the STCS field in a specific evaluation; (2) using STCS concepts and theories to enhance program and evaluation theory, and (3) broadly drawing upon STCS to support changes in systems and develop capacity within organizations. While these implications show some promise for systems and complexity informed evaluation, they, more importantly, underscore the need for deeper engagement with STCS theories and methods while simultaneously remaining accessible for evaluators.
Applying a systems and complexity lens to building evaluation capacity: Learning from a multicountry donor's experience
Authors: Vang KaYing , Moore Marah , Nicklin Claire 
Published: September 2021

AbstractAlthough the evaluation field has increasingly integrated systems thinking and complexity science (STCS) into its work, little has been published on how capacity is built to do STCS‐informed evaluation. The chapter helps address this gap by exploring paired concepts drawn from the STCS and evaluation capacity building (ECB) literature: adaptive action and culture; boundaries and systems and structures; interrelationships and leadership; and perspectives and communication. The ideas are grounded with illustrative examples from a reflective case narrative of an international donor organization and the system surrounding it. Ultimately, the case shares how STCS can reimagine ECB and how increased capacity of the participants and organization can change the broader system.
Receptor‐targeting nanomaterials alleviate binge drinking‐induced neurodegeneration as artificial neurotrophins
Authors: Yang* Jingyu , Wang* Lirong , Huang Liwen , Che Xiaohang , Zhang Zhen , Wang Chunxiao , Bai Lihuan , Liu Ping , Zhao Yanan , Hu Xiaomei , Shi Bingyang , Shen Yuequan , Liang Xing‐Jie , Wu Chunfu , Xue Xue 
Published: September 2021

AbstractThe distinguished properties of nanomaterials promote us to explore whether their intrinsic activities would be beneficial to disease treatment. Furthermore, understanding the molecular mechanism is thereby crucial for biomedical applications. Here, we investigate the therapeutic effects of single‐walled carbon nanotubes (SWNTs) in a rat model of binge alcohol‐induced neurodegeneration. With selection from four types of SWNT structures, bundled SWNTs (bSWNTs) facilitated the recovery of learning and memory via enhancing neuroprotection and neuroregeneration. We screened the potential target for bSWNTs, and found that bSWNTs have the abilities to directly interact with neurotrophic receptors, especially tropomyosin‐related kinase B (TrkB). Moreover, similar to the actions of endogenous neurotrophins, bSWNTs could trigger the dimerization and phosphorylation of TrkB, while these conformational changes resulted in activating their downstream signals involved in neuroprotection and neuroregeneration. With relatively clear mechanisms, these “artificial neurotrophins” provide a proof‐of‐concept example as an efficiently therapeutic strategy for the treatment of neurodegenerative diseases.
Influences of inclined tunnel ceiling on plug‐holing phenomenon and mechanical smoke exhaust efficiency in tunnel fires
Authors: Zhao Wangda , Wang Tianxiong , He Lu , Tao Haowen , Xu Zhisheng 
Published: September 2021

SummaryIn this paper, the effect of inclined tunnel ceiling on the characteristic of smoke extraction and the efficiency of mechanical smoke exhaust is studied. The parameters of different ceiling inclination angles, exhaust velocities, and heat release rates in the tunnel fire are taken into account. The results demonstrate that for the given smoke exhaust velocity and heat release rate, as the ceiling inclination angle increases, the smoke flow tends to accumulate toward the centerline of the tunnel ceiling, which increases the temperature of the smoke layer and relieves the phenomenon of plug‐holing beneath the shaft. The applicability of previous Fr criterion for predicting whether the plug‐holing phenomenon occurs is also verified. It is shown that the Fr criterion of Fr = 1.5 can also be applicable to the tunnel with different inclination angles. In addition, a predicted correlation for the mechanical smoke exhaust efficiency is established by taking the effect of inclined tunnel ceiling into account, and the predicted value is in good agreement with the results in this paper. This work provides an improved understanding of mechanical smoke extraction in tunnel with inclined ceiling. It may also serve as a reference for the design of a mechanical smoke exhaust system.
Isolating the white matter circuitry of the dorsal language stream: Connectome‐Symptom Mapping in stroke induced aphasia
Authors: Baboyan Vatche , Basilakos Alexandra , Yourganov Grigori , Rorden Chris , Bonilha Leonardo , Fridriksson Julius , Hickok Gregory 
Published: September 2021

AbstractThe application of ℓ1‐regularized machine learning models to high‐dimensional connectomes offers a promising methodology to assess clinical‐anatomical correlations in humans. Here, we integrate the connectome‐based lesion‐symptom mapping framework with sparse partial least squares regression (sPLS‐R) to isolate elements of the connectome associated with speech repetition deficits. By mapping over 2,500 connections of the structural connectome in a cohort of 71 stroke‐induced cases of aphasia presenting with varying left‐hemisphere lesions and repetition impairment, sPLS‐R was trained on 50 subjects to algorithmically identify connectomic features on the basis of their predictive value. The highest ranking features were subsequently used to generate a parsimonious predictive model for speech repetition whose predictions were evaluated on a held‐out set of 21 subjects. A set of 10 short‐ and long‐range parieto‐temporal connections were identified, collectively delineating the broader circuitry of the dorsal white matter network of the language system. The strongest contributing feature was a short‐range connection in the supramarginal gyrus, approximating the cortical localization of area Spt, with parallel long‐range pathways interconnecting posterior nodes in supramarginal and superior temporal cortex with anterior nodes in both ventral and—notably—in dorsal premotor cortex, respectively. The collective disruption of these pathways indexed repetition performance in the held‐out set of participants, suggesting that these impairments might be characterized as a parietotemporal disconnection syndrome impacting cortical area Spt and its associated white matter circuits of the frontal lobe as opposed to being purely a disconnection of the arcuate fasciculus.
Pro‐tumoral behavior of omental adipocyte‐derived fibroblasts in tumor microenvironment at the metastatic site of ovarian cancer
Authors: Iyoshi Shohei , Yoshihara Masato , Nakamura Kae , Sugiyama Mai , Koya Yoshihiro , Kitami Kazuhisa , Uno Kaname , Mogi Kazumasa , Tano Sho , Tomita Hiroyuki , Kajiwara Keiji , Taki Masayasu , Yamaguchi Shigehiro , Nawa Akihiro , Kajiyama Hiroaki 
Published: September 2021

AbstractAdipocyte‐rich omentum offers “good soil” for disseminating ovarian cancer (OvCa), contributing to therapeutic difficulty. However, little is understood about the association between adipocytes and tumor growth at peritoneal dissemination site. Herein, we report the induction of adipocyte dedifferentiation by OvCa cells and pro‐tumorigenic effects of resulted adipocyte‐derived fibroblasts. We confirmed that malignant ascites promoted the dedifferentiation of the primary human adipocytes obtained from surgical omental specimen into omental adipocyte‐derived fibroblast (O‐ADF) that possess both mesenchymal stem cell and myofibroblast‐like features. This promotion of dedifferentiation by malignant ascites was blocked by addition of Wnt signaling inhibitor. The effects of dedifferentiated adipocytes in proliferation and migration of OvCa cells were analyzed with in vitro coculturing experimental models and in vivo mice model, and we demonstrated that OvCa cell lines showed enhanced proliferative characteristics, as well as increased migratory abilities upon coculturing with O‐ADF. Additionally, exogenous transforming growth factor‐β1 augmented desmoplastic morphological change of O‐ADF, leading to higher proliferative ability. Our results suggest that OvCa cells promote dedifferentiation of peritoneal adipocytes by activating Wnt/β‐catenin signaling, and generated O‐ADFs exhibit pro‐tumoral hallmarks.
A silver lining in cell line authentication: Short tandem repeat analysis of 1373 cases in China from 2010 to 2019
Authors: Gu Meijia , Yang Meimei , He Jing , Xia Sixuan , Zhang Zhe , Wang Yudong , Zheng Congyi , Shen Chao 
Published: September 2021

AbstractContinuous cell lines are practical models that are widely used in the study of disease mechanisms and particularly cancers. However, the issue of cell line cross‐contamination has existed since the 1960s, despite repeated advocation for cell line authentication by many experts. Furthermore, cell line abuse has been underestimated and underreported. The China Center for Type Culture Collection (CCTCC) received 1373 cell samples for authentication from 2010 to 2019, and has found that the quality of cell lines has improved during this time, offering a positive outlook for the future.
Quetiapine‐Induced Thyroid Dysfunction: A Systematic Review
Authors: Khoodoruth Mohamed Adil Shah , Abdo Ameen Khamis Abedalaziz , Ouanes Sami 
Published: September 2021

AbstractThyroid abnormalities are documented consequences of quetiapine treatment. This may have clinical implications as changes in thyroid hormones may deteriorate a person's affective state. Yet less is known about the clinical factors and underlying mechanisms associated with thyroid hormones on quetiapine therapy. We therefore systematically reviewed the published literature of evidence of quetiapine‐induced thyroid abnormalities. We searched MEDLINE, PsycINFO, Google Scholar, and EMBASE for articles in which individuals developed biochemically confirmed thyroid abnormalities (with or without clinical symptoms) while on quetiapine treatment. We included case reports, case series, observational, and experimental studies. We included 32 studies, 20 of which were observational and experimental studies. There were 10 case reports and 1 case series. All the research designs suggested an association between quetiapine and hypothyroidism. However, these findings were limited by the quality of the included studies and the general lack of either a clear temporal relationship or dose response. Quetiapine has been associated with thyroid abnormalities, mainly with hypothyroidism. Drug imputability in these abnormalities is not always clear, and the underlying pathophysiology may include immunological and nonimmunological mechanisms. Large prospective studies are required to clarify this association and to further inform the management of patients treated with quetiapine where hypothyroidism occurs.
Removal of hexavalent chromium (Cr(VI)) from aqueous solution using acid‐modified poultry litter‐derived hydrochar: adsorption, regeneration and reuse
Authors: Ghanim Bashir , Leahy James J , OʼDwyer Thomas F , Kwapinski Witold , Pembroke J Tony , Murnane John G 
Published: September 2021

AbstractBACKGROUNDChromium (Cr) is widely used in industrial processes and is considered a major source of pollution when released to the environment. Of particular concern, hexavalent chromium (Cr(VI)) is amongst the most toxic heavy metals affecting human health and living organisms when fugitive emissions contaminate aqueous environments. Consequently, its removal and recovery are priorities for environmental remediation in the context of the circular economy. In this study, modified hydrochar (MHC) was generated by hydrothermal carbonisation of acid‐treated (H2SO4) poultry litter (PL) and investigated for its ability to adsorb Cr(VI) from aqueous solution in batch studies. Recovery of Cr(VI) and the regeneration potential of MHC were also evaluated.RESULTSResults indicated that Cr(VI) adsorption was strongly pH dependent, demonstrating an inverse relationship between solution pH and Cr(VI) uptake. A maximum adsorption capacity of 26.2 mg g−1 was achieved in 90 min at pH 2. Under optimal conditions, adsorption kinetics followed a pseudo‐second‐order kinetic model and the adsorption isotherm fitted most closely with the Langmuir model. Thermodynamic studies indicated that the adsorption process of Cr(VI) onto the MHC was exothermic and spontaneous. Regeneration studies demonstrated that the MHC can be re‐used up to four times without significant loss of capacity to adsorb Cr(VI).CONCLUSIONSModified PL hydrochar offers potential as a low‐cost, environmentally friendly solution for Cr(VI) adsorption in wastewater treatment applications. The ability of Cr(VI) to desorb from MHC demonstrates strong potential for Cr(VI) recovery and regeneration of the adsorbent. © 2021 The Authors. Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
Feature fusion combined with tissue Raman spectroscopy to screen cervical cancer
Authors: Yang Bo , Chen Cheng , Chen Fangfang , Ma Cailing , Chen Chen , Zhang Huiting , Gao Rui , Zhang Shuailei , Lv Xiaoyi 
Published: September 2021

AbstractIn this experiment, we collected 45 samples of cervicitis, 29 samples of low‐grade squamous intraepithelial lesion (LSIL), 44 samples of high‐grade squamous intraepithelial lesion (HSIL), 39 samples of cervical squamous cell carcinoma, and 38 cases of cervical adenocarcinoma. After preprocessing of the Raman spectral data, partial least squares (PLS) was used to reduce the dimensionality, and then extreme gradient boosting (XGBoost) was used for feature selection to obtain the first 30‐dimensional features. The preprocessed Raman spectral data also used a fast Fourier transform (FFT) to obtain amplitude information, and then PLS and XGBoost were used to obtain the first 30‐dimensional features. Finally, K nearest neighbor (KNN), extreme learning machine (ELM), artificial bee colony support vector machine (ABC‐SVM), support vector machine optimized by the cuckoo search algorithm (CS‐SVM), particle swarm optimization coupled with support vector machine (PSO‐SVM), and the convolutional neural network combined with long‐ and short‐term memory (CNN‐LSTM) classification models were established. In the raw Raman spectral features experiments, the classification accuracies of KNN, ELM, ABC‐SVM, CS‐SVM, PSO‐SVM, and CNN‐LTSM were 60.76%, 65.81%, 76.21%, 77.66%, 73.50%, and 69.19%, respectively. In the feature fusion experiments, the classification accuracies were 60.91%, 67.84%, 77.64%, 78.49%, 75.54%, and 70.72%, respectively. The experimental results show that feature fusion can further improve model performance regardless of whether using linear classification models or nonlinear classification models. Therefore, it provides a new strategy for extracting features and screening multiple cervical pathological tissues in the future.
Development and validation of a n‐butanol reduced chemical kinetic mechanism under engine relevant conditions
Authors: Choo Edwin Jia Chiet , Cheng Xinwei , Scribano Gianfranco , Ng Hoon Kiat , Gan Suyin 
Published: September 2021

AbstractA n‐butanol reduced mechanism (60 species and 306 reactions) was developed using the direct relation graph with error propagation and isomer lumping methods. Sensitivity analysis (SA) was then performed to identify reactions that were sensitive to the ignition delay (ID) for the adjustments of the pre‐exponential factor to replicate the experimental ID times. As compared with the experimental measurements at initial temperatures of 343–1350 K, initial pressures of 0.02–80 bar, and equivalence ratios of 0.5–2.0, the maximum deviation for the predictions by the n‐butanol reduced mechanism was at 37.75% for the ID times, 8 cm/s for the laminar flame speed, and a factor of three for both the species concentration profiles under jet‐stirred reactor and premixed laminar flame. Furthermore, a maximum deviation of 2.5 crank angle degrees in combustion phasing was obtained when the reduced mechanism was benchmarked against the detailed mechanism under homogeneous charge compression ignition (HCCI) conditions at initial temperature of 413 K, initial pressure of 1 bar, and equivalence ratios of 0.5–2.0. Despite these deviations, the low temperature IDs and the laminar flame speed predicted by the present reduced mechanism were in better agreement to the experimental measurements than the existing n‐butanol reduced mechanisms of comparable sizes. Hence, this collectively indicates that improvements were made to the present reduced mechanism, particularly for the low‐temperature reactions. The n‐butanol reduced mechanism was also compared with gasoline and diesel surrogates under 0D HCCI simulations. The results indicate that the combustion characteristics of n‐butanol is closer to gasoline than to diesel. This suggests that n‐butanol could safely replace gasoline fuel in neat form while it is more suitable to be blended with diesel fuel to maintain engine performance and prevent any adverse effects on the engine.