bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization, management, and risk factors of hyperglycemia during PI3K or AKT inhibitor treatment
Authors: Liu Dazhi , Weintraub Michael A. , Garcia Christine , Goncalves Marcus D. , Sisk Ann Elizabeth , Casas Alissa , Harding James J. , Harnicar Stephen , Drilon Alexander , Jhaveri Komal , Flory James H. 
Published: February 2022

AbstractPurposeThe phosphoinositide 3‐kinase (PI3K)/protein kinase B (AKT) pathway controls insulin sensitivity and glucose metabolism. Hyperglycemia is one of the most common on‐target adverse effects (AEs) of PI3K/AKT inhibitors. As several PI3K and AKT inhibitors are approved by the United States Food and Drug Administration or are being studied in clinical trials, characterizing this AE and developing a management strategy is essential.MethodsPatients with hematologic or solid malignancies treated at Memorial Sloan Kettering Cancer Center with a PI3K or AKT inhibitor were included in this retrospective analysis. A search for patients experiencing hyperglycemia was performed. The frequency, management interventions and outcomes were characterized.ResultsFour hundred and ninety‐one patients with 10 unique cancer types who received a PI3K or AKT inhibitor were included. Twelve percent of patients required a dose interruption, 6% of patients required a dose reduction and 2% of patients were hospitalized to manage hyperglycemia. No events occurred among patients receiving β‐, γ‐, or δ‐ specific PI3K inhibitor. There was one case where the PI3K or AKT inhibitor was permanently discontinued due to hyperglycemia. Metformin was the most commonly used antidiabetic medication, followed by insulin, sodium‐glucose transport protein 2 (SGLT2) inhibitors, and sulfonylurea. SGLT2 inhibitors were associated with the greatest reductions in blood sugar, followed by metformin. At least one case of euglycemic diabetic ketoacidosis (DKA) occurred in a patient on PI3K inhibitor and SGLT2 inhibitor. Body mass index ≥ 25 and HbA1c ≥ 5.7 are were independently significant predictors of developing hyperglycemia.ConclusionHyperglycemia is one of the major on‐target side effects of PI3K and AKT inhibitors. It is manageable with antidiabetic medications, treatment interruption and/or dose modification. We summarize pharmacological interventions that may be considered for PI3K/AKT inhibitor induced hyperglycemia. SGLT2‐inhibitor may be a particularly effective second‐line option after metformin but there is a low risk of euglycemic DKA, which can be deadly. To our knowledge, our report is the largest study of hyperglycemia in patients receiving PI3K/AKT inhibitors.
Hieracium waldsteinii (Asteraceae) and Onosma stellulata (Boraginaceae) as a Source of Antioxidant and Antimicrobial Agents
Authors: Kostić Aleksandar Ž. , Mačukanović‐Jocić Marina P. , Milinčić Danijel D. , Petrović Jovana D. , Gašić Uroš M. , Gligorijević Nevenka N. , Jarić Snežana V. , Soković Marina D. , Tešić Živoslav Lj. , Pešić Mirjana B. 
Published: February 2022

AbstractThe current study aimed to phytochemically characterize (including a detailed phenolic profile) two endemic Balkan's species (Hieracium waldsteinii and Onosma stellulata) and determine their possible application as a source of natural antioxidant and antimicrobial agents. The main phenolic compound in both species (in all examined parts) was chlorogenic acid. Eriodictyol, genistein and naringenin were quantified only in H. waldsteinii while isorhamnetin‐3‐O‐rutinoside and sinapic acid were characteristic for O. stellulata. The highest antioxidant activity (98 mg AAE/g dry weight for TAC assay) was ascribed to the flower extract of H. waldsteinii while the lowest results (∼4.3 mg AAE/g dry weight for FRP assay) were exhibited by the extracts obtained from the plant's stem. Antimicrobial assays showed moderate antibacterial, i. e., moderate/strong activity against several tested fungi (in particular Trichoderma viride). Correlation analysis revealed strong positive connection between phenolic compounds and reducing power of extracts as well as between total phenolic and flavonoid content and the obtained minimal inhibitory concentration recorded in antibacterial assays.
Antibacterial Activity of Essential Oils against Oral Pathogens
Authors: Oliveira Thaís A. S. , Santiago Mariana B. , Santos Valmore H. P. , Silva Eliane O. , Martins Carlos H. G. , Crotti Antônio E. M. 
Published: February 2022

AbstractThis updated review article covers the literature between 2011 and 2021 on the antibacterial activity of EOs against the main bacteria that cause caries and periodontal diseases. The criteria to classify the in vitro antibacterial activity of EOs is updated and the most promising results are addressed.
Nitrogen Donor Protection for Atomically Precise Metal Nanoclusters
Authors: Yuan Shang‐Fu , Liu Wen‐Di , Liu Chun‐Yu , Guan Zong‐Jie , Wang Quan‐Ming 
Published: February 2022

AbstractSurface organic ligands are critical in dictating the structures and properties of atomically precise metal nanoclusters. In contrast to the conventionally used thiolate, phosphine and alkynyl ligands, nitrogen donor ligands have not been used in the protection for well‐defined metal nanoclusters until recently. This review focuses on recent developments in atomically precise metal nanoclusters stabilized by different types of nitrogen donor ligands, in which the synthesis, total structure determination and various properties are covered. We hope that this review will provide insights into the rational design of N donor‐protected metal nanoclusters in terms of structural and functional modulation.
Phenylene‐Bridged Perylene Monoimides as Acceptors for Organic Solar Cells: A Study on the Structure–Property Relationship
Authors: Schweda Bettina , Reinfelds Matiss , Hofinger Jakob , Bäumel Georg , Rath Thomas , Kaschnitz Petra , Fischer Roland C. , Flock Michaela , Amenitsch Heinz , Scharber Markus Clark , Trimmel Gregor 
Published: February 2022

AbstractA series of non‐fullerene acceptors based on perylene monoimides coupled in the peri position through phenylene linkers were synthesized via Suzuki‐coupling reactions. Various substitution patterns were investigated using density functional theory (DFT) calculations in combination with experimental data to elucidate the geometry and their optical and electrochemical properties. Further investigations of the bulk properties with grazing incidence wide angle X‐ray scattering (GIWAXS) gave insight into the stacking behavior of the acceptor thin films. Electrochemical and morphological properties correlate with the photovoltaic performance of devices with the polymeric donor PBDB‐T and a maximum efficiency of 3.17 % was reached. The study gives detailed information about structure–property relationships of perylene‐linker‐perylene compounds.
Experimental methods in chemical engineering: pH
Authors: Villasana Yanet , Moradi Nooshin , Navas‐Cárdenas Carlos , Patience Gregory S. 
Published: February 2022

AbstractAll chemical, biochemical, and biological processes depend on pH. Since the 1920s, when the first electrode was introduced to determine the concentration of hydrogen ions, pH measurement techniques have been evolving to fit the application at laboratory and industrial scales. These techniques include conventional methods based on electrical and optical methods like glass electrodes and variants. Most of the current methods still require a probe to be immersed in a solution. However, biomedical applications in the development stages involve non‐invasive probes that measure hydrogen ion concentration or electrical conductivity, which is related to the concentration of all ions. Instruments also measure both these properties simultaneously for water analysis, agriculture, and electrochemistry. pH drops by as much as 90% increasing temperature from 5–45°C (for MgSO4, NaCl, and an acetate buffer). The repeatability is excellent for a glass electrodes, which continues to be the measurement technique of choice for most laboratories, with a standard deviation of better than 0.08% for low molar concentrations (0.05 M) that increases to above 0.2% at high molar concentrations (>0.7 M). Besides the standard potentiometric methods, emerging techniques include ion‐sensitive field transistors, pH imaging, conductometric, acoustic microsensors, microcantilevers, and spectroscopy. In the first 6 months of 2020, Web of Science indexed almost 10 000 articles that mentioned pH as a keyword; most were in environmental sciences, multidisciplinary chemistry, and chemical engineering. Here, we review the latest developments, including spectroscopic methods, progress towards miniaturization, in particular for bio‐medical applications like skin and bio‐fluids, unconventional sampling, repeatability, and uncertainty.
Growth Behavior of Rubrene Thin Films on Hexagonal Boron Nitride in the Early Stage
Authors: Wei Yujia , Xue Di , Ji Lianlian , Lu Jie , Wang Qi , Jiang Xingyu , Sun Yinghui , Wang Zi , Huang Lizhen , Chi Lifeng 
Published: February 2022

Comprehensive SummaryTwo‐dimensional materials, with an in‐plane ordered and dangling‐bonding‐free surface, are ideal substrates for fabricating high‐ quality crystalline thin films. Here, we show a systematic study on the growth of a benchmark organic semiconductor, rubrene, on hexagonal boron nitride (h‐BN) substrate via physical vapor deposition from the initial amorphous phase to the final crystalline phase; the role of temperature in such transition and the epitaxy relationship between rubrene and h‐BN are revealed. With the increase of substrate temperature, the critical thickness of amorphous‐crystalline‐transition decreases and the morphology of crystalline phase also evolves from porous to terrace‐like. When substrate temperature reaches >100°C, the critical thickness reduces to only 0.5 nm and a precise layer‐by‐layer growth from the very first layer is achieved, which is quite rare for rubrene growing on other substrates. The high ordering can be attributed to the fine epitaxy relationship between rubrene films and the h‐BN surface lattice, and this film demonstrates good charge transport ability with a p‐type field‐effect mobility of >1 cm2·V–1·s–1.
Construction of Carbon‐Coated Cobalt Sulfide Hybrid Networks Inter‐Connected by Carbon Nanotubes for Performance‐Enhanced Potassium‐Ion Storage
Authors: Zeng Xuehao , Tong Huigang , Chen Shi , Lu Jian , Wang Changlai , Tu Jinwei , Wang Pengcheng , Chen Qianwang 
Published: February 2022

Comprehensive SummaryBecause of its high theoretical capacity, transition metal sulfides have always been regarded as promising anode materials for potassium‐ion batteries. However, it is difficult for us to make use of transition metal sulfides due to their low conductivity, poor ionic diffusivity, sluggish reaction kinetics and severe volume expansion. Here, we developed a novel carbon‐coated CoSx@CNT material with carbon nanotubes inter‐connected (CCS@CNT), which shows an excellent potassium storage performance with a specific capacity of 550 mA·h·g–1 under the current of 50 mA·g–1 and 296 mA·h·g–1 at 1000 mA·g–1. The carbon layer can effectively alleviate volume expansion during charging and discharging process. And this special structure of inter‐connected hybrid networks with CNTs greatly improves the electron transport, ion diffusion coefficient and reaction kinetics of the material.
Undescribed Meroterpenoids from Hypericum japonicum with Neuroprotective Effects on H2O2 Insult SH‐SY5Y Cells Targeting Keap1‐Nrf2
Authors: Hu Linzhen , Wang Zhenzhen , Tong Zhou , Hu Ping , Kong Luqi , Luo Mengying , Li Xiao‐Nian , Zhang Yuexing , Huang Zhiyong , Zhang Yonghui 
Published: February 2022

Comprehensive SummaryUnreported tautomeric/enantiomeric meroterpenoids, (±)‐hyperjaponols I—K (1—3), were discovered from Hypericum japonicum. Comprehensive chemical investigations established the absolute characteristics of these stereoisomers. The TS calculation demonstrated that 1a and 2a easily occur enol‐keto tautomerism with steady configurations individually. Amongst isolates, 1b showed the strongest neuroprotective activity with the concentration at 25 μmol/L on H2O2 insult SH‐SY5Y cells. In vitro molecular biological experiments manifested that 1b activated the Keap1‐Nrf2‐ARE pathway, leading to the promotion of Nrf2 nuclear translocation, downregulation of the expression level of Keap1, and upregulation of the levels of Nrf2, NQO‐1, and HO‐1. The results of in silico simulation showed that 1b possessed good binding features with Keap1 (5FNQ) via forming multiple typical hydrogen and hydrophobic bonds as well as less fluctuation of RMSD and RMSF during a natural physiological condition.
Augmented latent Dirichlet allocation model via word embedded clusters for mashup service clustering
Authors: Ramathulasi Thota , Rajasekharababu M. 
Published: February 2022

AbstractAlong with the growing number of mashups, there have been many changes in their diversity as well. With the creation of a wide variety of mashup services, it has become difficult to select and recommend appropriate web‐based APIs or services to launch an application based on the principle of mashup technology. In keeping with the methods already in place, we realized that the input/output parameters and text description which are key features directly from WSDL specification documents are increasingly being used in the mashup service innovation process. The quality of these methods can be enhanced by capturing hidden topic content from WSDL documents through the LDA (latent Dirichlet allocation). In this paper, the performance as concerns the LDA model can be enhanced by using some auxiliary features rather than limiting it to some extent. The reason for this is that the word vectors achieved by the word2vec tool is of advanced quality than the word vectors of the word gained by the LDA model. So, we proposed to innovate the novel mashup service innovation and clustering method with better efficiency and higher accuracy through word2vec. Here developed an improved LDA model with a word embedded cluster (called AUG‐LDA) that has a major impact on word vector quality. In this proposed approach, the LDA's training process can be semimonitored by first acquiring the word vectors through the word2vec tool and then merging the word clusters with the K‐means++ algorithm. This will enable better representations for the distribution of mashup services. This can be obtained by crawling the dataset from the website calledwww.programmableweb.comto perform a comprehensive experiment and demonstrate the proposed method. It has been proven that there is a better increase by comparing our approach with different metrics and the clustering accuracy values obtained by other methods.
A model‐based approach to user preference discovery in multi‐criteria recommender system using genetic programming
Authors: Gupta Shweta , Kant Vibhor 
Published: February 2022

AbstractMulti‐criteria recommender systems (MCRSs) provide suggestions to users based on their preferences to various criteria. Incorporation of criteria ratings into recommendation framework can provide quality recommendations to users because these ratings can elicit users' preferences efficiently. However, elicitation of user's overall preference based on criteria ratings is a key issue in MCRS. Even though several aggregation methods for the elicitation of users' overall preference have been investigated in the literature, no method has been shown the superiority under all circumstances. Therefore, we propose a model based approach to user preference discovery in multi‐criteria RS using genetic programming (GP). In this work, we suggest three‐stage process to generate recommendations to users. First, we learn user preference transformation function to aggregate criteria ratings by using GP, and then we utilize the preference function, so derived, for computing similarities in MCRS. Finally, items are recommended to users. Experimental results on Yahoo! Movies dataset show the superiority of our proposed approach in comparison to other aggregation approaches.
Periodicity of Two‐Dimensional Bonding of Main Group Elements
Authors: Hess Peter 
Published: February 2022

AbstractIn the periodic table the position of each atom follows the ‘aufbau’ principle of the individual electron shells. The resulting intrinsic periodicity of atomic properties determines the overall behavior of atoms in two‐dimensional (2D) bonding and structure formation. Insight into the type and strength of bonding is the key in the discovery of innovative 2D materials. The primary features of 2D bonding and the ensuing monolayer structures of the main‐group II–VI elements result from the number of valence electrons and the change of atom size, which determine the type of hybridization. The results reveal the tight connection between strength of bonding and bond length in 2D networks. The predictive power of the periodic table reveals general rules of bonding, the bonding‐structure relationship, and allows an assessment of published data of 2D materials.
One‐Pot Synthesis of CoS2Merged in Polymeric Carbon Nitride Films for Photoelectrochemical Water Splitting
Authors: Li Xiaochun , Wang Jiawen , Xia Jiawei , Fang Yuanxing , Hou Yidong , Fu Xianzhi , Shalom Menny , Wang Xinchen 
Published: February 2022

AbstractPolymeric carbon nitride (PCN) has attracted intensive interest as sustainable, metal‐free semiconductor for photoelectrochemical (PEC) water splitting. Charge transfer along the films acts as the main concern to restrict the performance due to the amorphous nature of polymer. Herein, gradient concentration of cobalt disulfide (CoS2) merged in PCN films was realized as CSCN photoanode by a one‐pot synthesis. Owing to the unique properties of CoS2, namely high conductivity, the charge transfer of the CSCN photoanode was promoted, and thus the performance for PEC water oxidation was improved. The optimal photoanode exhibited a photoanodic current of 200 μA cm−2at 1.23 V versus reversible hydrogen electrode under air mass 1.5 global (AM 1.5G) illumination, which was approximately 4 times that of the pristine PCN photoanode. This work provides a new design of metal‐free photoanodes to improve the performance of water splitting.
Celsr family genes are dynamically expressed in embryonic and juvenile zebrafish
Authors: Joshi Bhagyashri , Gaur Himanshu , Hui Subhra Prakash , Patra Chinmoy 
Published: February 2022

AbstractThe Cadherin EGF LAG seven‐pass G‐type receptor (Celsr) family belongs to the adhesion G‐protein coupled receptor superfamily. In most vertebrates, the Celsr family has three members (CELSR1–3), whereas zebrafish display four paralogues (celsr1a, 1b, 2, 3). Although studies have shown the importance of the Celsr family in planar cell polarity, axonal guidance, and dendritic growth, the molecular mechanisms of the Celsr family regulating these cellular processes in vertebrates remain elusive. Zebrafish is an experimentally more amenable model to study vertebrate development, as zebrafish embryos develop externally, optically transparent, remain alive with malformed organs, and zebrafish is genetically similar to humans. Understanding the detailed expression pattern is the first step of exploring the functional mechanisms of the genes involved in development. Thus, we report the spatiotemporal expression pattern of Celsr family members in zebrafish nervous tissues. Our analysis shows that celsr1b and celsr2 are expressed maternally. In embryos, celsr1a, celsr1b, and celsr2 are expressed in the neural progenitors, and celsr3 is expressed in all five primary neural clusters of the brain and mantle layer of the spinal cord. In juvenile zebrafish, celsr1a, celsr1b, and celsr2 are presumably expressed in the neural progenitor enriched regions of the CNS. Therefore, the expression pattern of zebrafish Celsr family members is reminiscent of patterns described in other vertebrates or mammalian speciate. This indicates the conserved role of Celsr family genes in nervous system development and suggests zebrafish as an excellent model to explore the cellular and molecular mechanisms of Celsr family genes in vertebrate neurogenesis.
Auction based cost‐efficient resource allocation by utilizing blockchain in fog computing
Authors: Jain Vibha , Kumar Bijendra 
Published: February 2022

AbstractIn the IoT‐cloud environment, the growing amount of spawn data may limit performance in terms of communication latency, network traffic, processing power, and energy usage. The introduction of fog computing extends the cloud services nearer to the edge of the network. Since these lightweight fog servers are not able to fulfill the demand of every user node and process each offloaded task due to the limited computation resources. Accordingly, an efficient resource management scheme is required to proficiently handle fog resources. The profit‐driven nature of both the fog service providers and user nodes increases the possibility of malicious activity while resource trading for their advantages or to privilege a bunch of devices. In this article, we designed a trusted and fair incentive mechanism that encourages buyers and sellers to trade by leveraging the benefits of blockchain and smart contracts. Especially, a combinatorial double auction employed market model is proposed which satisfies different economical properties such as individual rationality, budget balance, and truthfulness. Blockchain‐driven decentralized fog environments prevent the tampering of trade‐related information by the malicious nodes. Simulation results indicate that the proposed combinatorial double auction significantly improves the network utilization by improved winner determination and pricing model.
What is the case for teaching with cases in evaluation?
Authors: Linfield Kenneth J. , Tovey Tiffany L. S. 
Published: February 2022

AbstractThis article introduces the volume on Case‐Centered Teaching and Learning in Evaluation by presenting the general rationale for using cases as a part of instruction in evaluation and essential points about how cases can be used as a part of teaching and learning about evaluation. This volume is the product of “The Case Collaborative,” an ongoing partnership among the authors and additional participants. In this introductory article, we tell the story of how this partnership developed, the goals and objectives identified by the group, and the primary concepts and strategies involved in case‐centered evaluation teaching and learning. We introduce our working definition of cases and share the critical connection of this work to purposeful reflection on our practice as evaluation practitioners and teachers. This theme of reflective practice in our work is introduced here and threaded throughout the remainder of the NDE volume.
The health returns of attending university for the marginally eligible student
Authors: Heckley Gawain , Nordin Martin , Gerdtham Ulf‐G. 
Published: February 2022

AbstractA key policy question is whether continued expansion of university education is beneficial for the marginally eligible student. In this paper we exploit an arbitrary university eligibility rule combined with regression discontinuity design to estimate the causal effect of university attendance on healthcare utilization amongst young adults in Sweden. We find that the eligibility rule leads to a clear jump in university attendance of between 10% and 14% points for both males and females. 2SLS estimates find that a 10% point increase in university attendance causes a roughly one percentage point increase in hospital admissions due to mental ill health for males, almost exclusively related to alcohol and narcotics. Our findings for females, however, imply the opposite, suggesting that university attendance decreases hospital admissions related to mental health. The results for males sit in contrast to results from previous studies, and suggest that the effect of university education on health for the male student at the margin of eligibility is different to that of the average student.