bluuebunny/crossref_metadata_2025_split huggingface dataset:
Conversion and synthesis of chemicals catalyzed by fungal cytochrome P450 monooxygenases: A review
Authors: Permana Dani , Kitaoka Takuya , Ichinose Hirofumi 
Published: May 2023

AbstractCytochrome P450s (also called CYPs or P450s) are a superfamily of heme‐containing monooxygenases. They are distributed in all biological kingdoms. Most fungi have at least two P450‐encoding genes, CYP51 and CYP61, which are housekeeping genes that play important roles in the synthesis of sterols. However, the kingdom fungi is an interesting source of numerous P450s. Here, we review reports on fungal P450s and their applications in the bioconversion and biosynthesis of chemicals. We highlight their history, availability, and versatility. We describe their involvement in hydroxylation, dealkylation, oxygenation, C═C epoxidation, C–C cleavage, C–C ring formation and expansion, C–C ring contraction, and uncommon reactions in bioconversion and/or biosynthesis pathways. The ability of P450s to catalyze these reactions makes them promising enzymes for many applications. Thus, we also discuss future prospects in this field. We hope that this review will stimulate further study and exploitation of fungal P450s for specific reactions and applications.
Improved Zoom engagement by adopting flipped class strategies to the curriculum of a Biology of Aging course during the Covid‐19 pandemic
Authors: Wheaton Keith 
Published: May 2023

AbstractDuring the pandemic, a 4th year course: Biology of Aging was modified with extensive flipped classroom strategies to promote better student engagement. By utilizing the strength of the Zoom video conferencing platform students were able to have meaningful in‐class experiences that promoted engagement and learning. This was further enhanced by shifting traditional lectures to a pre‐recorded format to act as resources and promoting forum discussions outside of class times using the course management system (Brightspace). These changes influenced the satisfaction and benefited the student experience. Shifting to active student‐centered learning and facilitation led to a dynamic well received teaching environment. The one trade off being that students needed to produce content every week, which was perceived as a heavy but manageable workload by many in the course. These changes can be used as a format for other online courses.
Impact of interictal epileptiform discharges on brain network in self‐limited epilepsy with centrotemporal spikes: A magnetoencephalography study
Authors: Xu Yue , Wang Yingfan , Xu Fengyuan , Li Yihan , Sun Jintao , Niu Kai , Wang Pengfei , Li Yanzhang , Zhang Ke , Wu Di , Chen Qiqi , Wang Xiaoshan 
Published: May 2023

AbstractObjectiveThis study aimed to investigate the differences on resting‐state brain networks between the interictal epileptiform discharge (IED) group with self‐limited epilepsy with centrotemporal spikes (SeLECTS), the non‐IED group with SeLECTS, and the healthy control (HC) group.MethodsPatients were divided into the IED and non‐IED group according to the presence or absence of IED during magnetoencephalography (MEG). We used Wechsler Intelligence Scale for Children, fourth edition (WISC‐IV) to assess cognition in 30 children with SeLECTS and 15 HCs. Functional networks were constructed at the whole‐brain level and graph theory (GT) analysis was used to quantify the topology of the brain network.ResultsThe IED group had the lowest cognitive function scores, followed by the non‐IED group and then HCs. Our MEG results showed that the IED group had more dispersed functional connectivity (FC) in the 4–8 Hz frequency band, and more brain regions were involved compared to the other two groups. Furthermore, the IED group had fewer FC between the anterior and posterior brain regions in the 12–30 Hz frequency band. Both the IED group and the non‐IED group had fewer FC between the anterior and posterior brain regions in the 80–250 Hz frequency band compared to the HC group. GT analysis showed that the IED group had a higher clustering coefficient compared to the HC group and a higher degree compared to the non‐IED group in the 80–250 Hz frequency band. The non‐IED group had a lower path length in the 30–80 Hz frequency band compared to the HC group.ConclusionsThe study data obtained in this study suggested that intrinsic neural activity was frequency‐dependent and that FC networks of the IED group and the non‐IED group underwent changes in different frequency bands. These network‐related changes may contribute to cognitive dysfunction in children with SeLECTS.
‘Do I share because I care?’: Investigating the factors influencing consumer's adoption of shared consumption
Authors: Khalek Sk Abu , Chakraborty Anirban 
Published: May 2023

AbstractThe preference structure of consumers remains a perplexing issue for sharing platforms. This study aims to broaden the understanding of shared consumption (SC) adoption. It employed the theory of interpersonal behaviour (TIB) and the theory of planned behaviour (TPB) to propose a conceptual model integrating cognitive, affective and normative beliefs to explain sharing intention. A cross‐sectional survey was conducted using a self‐administered questionnaire to gather responses. Using partial least square structural equation modelling (PLS‐SEM), the assessment of 298 valid responses revealed that economic incentives, normative beliefs, environmental concerns and perceived moral norms are significant predictors of sharing intention. The results of this study offer insights into the fact that consumers are cognizant of the sustainability concern and are ready to amend their consumption patterns driven by moral norms. Additionally, non‐cognitive factors like freedom from ownership hassles and availability uncertainty influence sharing intention. The study's theoretical contributions include extending the application of TIB to shared consumption behaviour and integrating non‐cognitive factors with TPB factors to understand shared consumption intention better. Accordingly, the study offers guidance to marketers for promoting shared consumption.
The proposed modification of TNM staging and therapeutic strategy for skip metastasis in papillary thyroid carcinoma: A multicenter retrospective cohort study
Authors: Yang Zheyu , Heng Yu , Zhao Qiwu , Hao Ding , Tao Lei , Deng Xiaxing , Cai Wei , Qiu Weihua 
Published: May 2023

AbstractBackgroundSkip metastasis is a special type of lateral lymph node metastasis, which is not classified definitely by the eighth edition of the AJCC TNM staging system. The aim of the research was to study the prognosis of skip metastasis in PTC patients, and carry out a more appropriate N staging for skip metastasis.MethodsStudy subjects were 3167 patients with papillary thyroid carcinoma (PTC), who underwent thyroidectomy at three clinical centers from 2016 to 2019. We identified two well‐balanced cohorts matched on the basis of propensity score.ResultsDuring a median follow‐up of 42 months, recurrence occurred in 68 (4.3%) patients with lymph node metastasis. 34 cases recurred in 1120 patients with central lymph node metastasis (N1a), and 34 recurred in 461 patients with lateral lymph node metastasis (N1b), among which 73 patients were diagnosis with skip metastasis. The RFS of N1a was significantly lower than that of N1b (p < 0.001). After propensity‐score matching, recurrence rate was significantly lower in the skip metastasis group than in the LLNM group (p = 0.039), whereas the rate was similar in the skip metastasis groups and the CLNM group (p = 0.29).ConclusionsIn conclusion, our study indicated that, among patients with LLNM, those with positive skip metastasis showed significantly lower recurrence, exhibiting a similar rucurrence tendency as patients with CLNM. Thus, skip metastasis could be categorized into N1a stage rather than N1b stage based on the AJCC TNM staging system. The downstaging of skip metastasis may reveal more conservative treatment strategy.
Practising cultural identities: British Indians' use of Indian classical dance
Authors: Varma Piya , Siromahov Metodi 
Published: May 2023

AbstractThe Indian diaspora has faced many obstacles including the challenge of navigating their dual identities, in order to belong in the UK. Music and dance are popular ways of practising cultural identities, which could mean that British Indians (BIs) use Indian Classical Dance (ICD) for maintaining cultural continuity and establishing a strong cultural identity. This qualitative study explores the reasons behind ICD practice, the relationship between ICD practice and the cultural identities of BIs, and the role served by themes of cultural continuity in their talk about identity. We conducted semi‐structured interviews with 10 UK‐based, Indian classical dance artists and analysed them using Thematic Analysis to identify the following themes: (1) Dual‐Identity Struggle (Sub‐themes: Confusion and Isolation and Racism and Stereotypes), (2) Parental Influence, (3) Embracing Dual‐Identity (Sub‐themes: Growth with Age and Impact of a Diverse Community), (4) Benefits of ICD (Sub‐themes: Education & Connection to Indian religion and history and Expressing & Understanding Identity) and (5) ICD: Authenticity versus Modernity (Sub‐themes: Authentic ICD in UK and Modernising ICD). The results from this piece of exploratory research have generated further data that improves our understanding of how BIs maintain a sense of collective continuity, and how they practise their Indian identity in daily life. Limitations of this study include the lack of balance between participants of different genders and dance styles. Therefore, further research can be developed including large‐scale studies on the role of ICD between genders, nationalities or generations.
New Spirostane from a Fungus Neohelicomyces hyalosporus and Its Bioactivity
Authors: Zheng Wen , Han Long , He Zhang‐Jiang , Kang Ji‐Chuan 
Published: May 2023

AbstractA new spirostane, namely neohelicomyine B (1), together with six known steroids (2–7) were isolated from the fermentation of fungus Neohelicomyces hyalosporus. The structures of these compounds were elucidated by extensive analyses of spectroscopic methods including 1D and 2D NMR and HR‐ESI‐MS. The absolute configuration of 1 was confirmed by single‐crystal X‐ray diffraction. The bioactivities of compounds 1–7 were evaluated using cellular assays. Compound 1 displayed moderate cytotoxicity against HepG2 cells (hepatoma cells) with IC50 value of 8.4±2.1 μM. Compound 7 also exhibited cytotoxic activity against HepG2 cells with the IC50 value of 3.0±0.2 μM.
On the choice of coordinate origin in length gauge optical rotation calculations
Authors: Parsons Taylor , Balduf Ty , Caricato Marco 
Published: May 2023

AbstractIn this work, we explore the issue of origin dependence in optical rotation (OR) calculations in the length dipole gauge (LG) using standard approximate methods belonging to density functional theory (DFT) and coupled cluster (CC) theory. We use the origin‐invariant LG approach, LG(OI), that we recently proposed as reference for the calculations, and we study whether a proper choice of coordinate origin and molecular orientation can be made such that diagonal elements of the LG‐OR tensor match those of the LG(OI) tensor. Using a numerical search algorithm, we show that multiple spatial orientations can be found where the LG and LG(OI) results match. However, a simple analytical procedure provides a spatial orientation where the origin of the coordinate system is close to the center of mass of the molecule. At the same time, we also show that putting the origin at the center of mass is not an ideal choice for every molecule (relative errors in the OR up to 70% can be obtained in out test set). Finally, we show that the choice of coordinate origin based on the analytical procedure is transferable across different methods and it is superior to putting the origin in the center of mass or center of nuclear charge. This is important because the LG(OI) approach is trivial to implement for DFT, but not necessarily for nonvariational methods in the CC family. Therefore, one can determine an optimal coordinate origin at DFT level and use it for standard LG‐CC response calculations.
Thermal behaviour and crystallization analysis of ethylene‐propylene (EP) copolymer and EP‐styrene terpolymer
Authors: Bahar Md Khairul , Mazhar Hassam , Khan Wasim Ullah , Al‐Harthi Mamdouh Ahmed 
Published: May 2023

AbstractPolyolefin copolymers have been an important commercial product since their invention. Hence, it is crucial to study their co‐ and terpolymers due to their extensive use. In this paper, in situ synthesis of ethylene‐propylene (EP) copolymer, its terpolymer with styrene, and composites with nickel‐chromium (NiCr) layered double hydroxide (LDH) has been reported along with their thermal properties. Styrene had a significant impact on the activity, increasing the yield by 195% and 235% with an addition of 0.5 and 1.0 mL styrene, respectively, compared to neat EP. The crystallinity, melting temperature, and thermal stability decreased due to styrene; nevertheless, it performed better compared to a similar work of terpolymer where α‐olefin was the third monomer. The incorporation of NiCr LDH as a drop‐in filler during in situ polymerization affected adversely the thermal stability of the terpolymer. However, the ultrasonication treatment improved the thermal stability of the final product.
Comparative Pharmacokinetics and Safety Studies of Dexibuprofen Injection and a Branded Product Ibuprofen Injection in Healthy Chinese Volunteers
Authors: Hua Wenyan , Zhou Wenjia , Su Mei , Zhang Quanying , Zong Shunlin , Wang Meng 
Published: May 2023

AbstractIbuprofen, a nonsteroidal anti‐inflammatory drug, is considered a safe and effective analgesic for treating different types of pain and joint disorders. Dexibuprofen, S‐(+)‐ibuprofen, is the single pharmacologically active enantiomer of ibuprofen. It is more potent than the racemic formulation of ibuprofen in terms of analgesic and anti‐inflammatory properties and causes less acute gastric damage. For the first time, in the present single‐dose, randomized, open‐label, 2‐period crossover study, the safety and pharmacokinetic (PK) characteristics of a single‐dose dexibuprofen injection (0.2 g) were evaluated in healthy Chinese subjects and compared with the PK characteristics of a 0.2‐g ibuprofen injection. Five consecutive men and women were randomly administered a single dose of the 0.2‐g ibuprofen or 0.2‐g dexibuprofen injection after fasting in every period during the 5‐day interval. Then, plasma samples were collected for liquid chromatography–tandem mass spectrometric analysis. WinNonlin software was used for calculating the PK parameters. The geometric mean ratios of the 0.2‐g dexibuprofen injection/ibuprofen injection for maximal plasma concentration, area under the plasma concentration–time curve (AUC) from time 0 to the last quantifiable time point, and AUC from time 0 to infinity were 184.6%, 136.9%, and 134.4%, respectively. The dexibuprofen plasma exposure of the 0.15‐g dexibuprofen injection was comparable to that of the 0.2‐g ibuprofen injection, calculated using AUC from time 0 to infinity.
The homogeneous mixing of MgO and H2O at extreme conditions
Authors: Kovačević Tanja , González‐Cataldo Felipe , Militzer Burkhard 
Published: May 2023

AbstractInvestigating water worlds presents a unique opportunity to understand the fundamental processes of planetary formation and evolution. One key aspect is characterizing the interactions between water and rock under the pressures and temperatures present within these worlds. Investigating the conditions for the homogeneous mixing of these materials is imperative to characterizing bulk properties and evolution of water‐rich exoplanets. Here we use density functional molecular dynamics simulations to study MgO‐H2O mixtures at high pressure–temperature conditions where H2O occurs in solid, superionic, or liquid form. MgO, the representative rocky material, can be either solid or liquid. We start from 500 K at 120 GPa, increasing the temperature step by step up to 8000 K. By inspection, we determine the temperature at which MgO‐HO homogeneously mix in our simulations. At 6000 K and 174 GPa is when we find the system to homogeneously mix. This heat‐until‐it‐mixes approach provides us with an upper bound on the temperature for the mixing of MgO and H2O. We find that homogeneous mixing occurs at sufficiently low temperatures to be relevant for the collisional growth of a water‐rich planet.
Wear‐free indoor fall detection based on RFID and deep residual networks
Authors: Zhao Chuanxin , Zhu Jihong , Xu Zhiqiang , Chen Siguang , Chen Fulong , Wang Taochun 
Published: May 2023

SummarySince falls of the elderly can easily cause serious health problems in daily life, fall detection has received the attention of researchers. Traditionally, wearable sensors have been used to detect whether a person has fallen. However, wearable sensors may bring inconvenience to users' activities and affect user experience. In this paper, a fall detection approach based on RFID is proposed. In the proposed approach, non‐contact passive tags are used to construct an array of tags. Fall detection will be performed without the user wearing the device. The RSSI and phase data are collected when the reader queries the tags. Furthermore, an action segmentation algorithm is designed to quickly extract human action information based on the short‐term variance change of the phase signal. Subsequently, a deep residual network is built to classify fall movements and daily movements. Experiments show that the system can handle differences among users and locations and has an excellent performance in terms of recognition accuracy and efficiency, with an average accuracy rate of 96.77%.
Bibliometric analysis of the use of artificial intelligence in COVID‐19 based on scientific studies
Authors: Karbasi Zahra , Gohari Sadrieh H. , Sabahi Azam 
Published: May 2023

AbstractBackground and AimsOne such strategy is citation analysis used by researchers for research planning an article referred to by another article receives a “citation.” By using bibliometric analysis, the development of research areas and authors’ influence can be investigated. The current study aimed to identify and analyze the characteristics of 100 highly cited articles on the use of artificial intelligence concerning COVID‐19.MethodsOn July 27, 2022, this database was searched using the keywords “artificial intelligence” and “COVID‐19” in the topic. After extensive searching, all retrieved articles were sorted by the number of citations, and 100 highly cited articles were included based on the number of citations. The following data were extracted: year of publication, type of study, name of journal, country, number of citations, language, and keywords.ResultsThe average number of citations for 100 highly cited articles was 138.54. The top three cited articles with 745, 596, and 549 citations. The top 100 articles were all in English and were published in 2020 and 2021. China was the most prolific country with 19 articles, followed by the United States with 15 articles and India with 10 articles.ConclusionThe current bibliometric analysis demonstrated the significant growth of the use of artificial intelligence for COVID‐19. Using these results, research priorities are more clearly defined, and researchers can focus on hot topics.
KMT2D links TGF‐β signaling to noncanonical activin pathway and regulates pancreatic cancer cell plasticity
Authors: Lu Shuang , Kim Hong Sun , Cao Yubo , Bedi Karan , Zhao Lili , Narayanan Ishwarya Venkata , Magnuson Brian , Gu Yumei , Yang Jing , Yi Zhujun , Babaniamansour Sepideh , Shameon Sargis , Xu Chang , Paulsen Michelle T. , Qiu Ping , Jeyarajan Sivakumar , Ljungman Mats , Thomas Dafydd , Dou Yali , Crawford Howard , di Magliano Marina Pasca , Ge Kai , Yang Bo , Shi Jiaqi 
Published: May 2023

AbstractAlthough KMT2D, also known as MLL2, is known to play an essential role in development, differentiation, and tumor suppression, its role in pancreatic cancer development is not well understood. Here, we discovered a novel signaling axis mediated by KMT2D, which links TGF‐β to the activin A pathway. We found that TGF‐β upregulates a microRNA, miR‐147b, which in turn leads to post‐transcriptional silencing of KMT2D. Loss of KMT2D induces the expression and secretion of activin A, which activates a noncanonical p38 MAPK‐mediated pathway to modulate cancer cell plasticity, promote a mesenchymal phenotype, and enhance tumor invasion and metastasis in mice. We observed a decreased KMT2D expression in human primary and metastatic pancreatic cancer. Furthermore, inhibition or knockdown of activin A reversed the protumoral role of KMT2D loss. These findings support a tumor‐suppressive role of KMT2D in pancreatic cancer and identify miR‐147b and activin A as novel therapeutic targets.
Development of an intelligent full‐field polarization sensitive optical coherence tomography for breast cancer classification
Authors: Basu Sautami , Agarwal Ravinder , Srivastava Vishal 
Published: May 2023

AbstractBiopsy is the gold standard for cancer detection, however the surge in breast cancer cases has made manual haematoxylin and eosin stained histopathological image examination difficult. Automatic cancer diagnosis is vital for a healthy life. It allows fast diagnosis without specific skills. This research proposes an intelligent full‐field polarization‐sensitive optical coherence tomography (FF‐PS‐OCT) system for ex‐vivo breast classification using ensemble model corroborated by technique for order preference by similarity to ideal solution (TOPSIS). 220 samples image were scanned using the FF‐PS‐OCT to extract the phase information. The multilevel ensemble classifier has 94.8% precision, 92.5% recall, 93.7% F‐score and 82.3% Mathews correlation coefficient on the testing dataset. The developed ensemble model corroborated by TOPSIS, outperforms the single model in terms of performance metrics. The initial results indicate that the rapid, non‐contact and label‐free FF‐PS‐OCT imaging modality using birefringent information is beneficial for making interventional decisions by clinicians.
Shareholder activism: Further evidence on the relationship between activists’ demands and shareholder value creation
Authors: Hoss Niklas , Eichner Korbinian 
Published: May 2023

AbstractThis research article analyses activist hedge fund campaigns and studies both shareholder value effects around the announcement of a campaign and the value creation over the entire campaign period. Further, we analyze observable returns by campaign objectives. We examine a sample of 197 international activism campaigns, initiated between 2014 and 2019. Significant Cumulative Average Abnormal Returns (CAARs) can be observed in both the short‐term and the entire engagement period event windows. The results from activism differ by an activist investor's objectives and demands. CAARs related to elimination of a general undervaluation, a maximization of shareholder value, and an adjustment of a target firm's capital structure are the highest in our sample. We do not find empirical evidence that board representation or proxy fights increase the CAARs of activist investors’ campaigns. Our study adds to the existing literature by analyzing abnormal returns not only around the announcement of the campaign but also over the entire campaign. We are of the opinion that relying exclusively on short‐term returns poses significant limitations to inferences on shareholder value from activism and therefore applying a longer‐term observation period is warranted.