bluuebunny/crossref_metadata_2025_split huggingface dataset:
Jörg Matthias Determann. Islam, Science Fiction and Extraterrestrial Life: The Culture of Astrobiology in the Muslim World. I. B. Tauris, London, 2021: Jörg Matthias Determann. Space Science and the Arab World: Astronauts, Observatories and Nationalism in the Middle East. I. B. Tauris, London, 2018
Authors: Stenberg Leif 
Published: January 2022

AbstractThis review discusses two books by Jörg Mathias Determann. The books explore space science in the Arab world and Islam, science fiction and extraterrestrial life in the Muslim world. Both are detailed accounts, and they place their respective subjects in a historical context. The books also present and analyse topics such as science, science fiction, and astrobiology, which are rarely the focus of scholars of the so‐called Arab and Muslim worlds. Hence, the books are important. They contribute to a broadening of the fields studying Islam, Muslims, and the Middle East by highlighting themes that require scholarly analysis.
Nasir, Kamaludeen Mohmed. 2020. Representing Islam: Hip‐Hop of the September 11 Generation. Indiana University Press, p. 222, December 1
Authors: Ackfeldt Anders 
Published: January 2022

AbstractThe book Representing Islam: Hip‐Hop of the September 11 Generation (2020) by Kamaludeen Mohmed Nasir explores the entangled relationship between Islam and hip‐hop. The book centers around Muslim hip‐hop artists affected by the war on terror and the long‐term consequences of the 9/11 attacks; increased surveillance, a securitization of Islam, and an amplified islamophobia, not only in the United States but around the world. The centrality of 9/11 for this diverse group of young Muslim artists is reflected in the fact that references to the attacks have been staples in aural, visual, and textual modes and occur as t‐shirt prints, in punch lines, and metaphors as well as on record covers and sound bites.
Enantioselective Pd‐Catalyzed Allylic Substitution using Phosphite‐Oxazoline PHOX‐Based Ligands containing a Methylene Linker
Authors: de la Cruz‐Sánchez Pol , Biosca Maria , Magre Marc , Faiges Jorge , Margalef Jéssica , Pàmies Oscar , Diéguez Montserrat 
Published: January 2022

AbstractHigh enantioselectivities (up to 99 %) and activities (TOF's up to >4000 h−1) are accomplished in the Pd‐catalyzed allylic substitution of a wide range of substrate types and nucleophiles using a family of phosphite‐oxazoline ligands. These ligands were derived from the PHOX ligand by exchanging the phosphine moieties by biaryl phosphites and a methylene spacer was introduced between the oxazoline and the phenyl ring. The wide substrate scope is due to the ability of the ligand family to adapt their ligand parameters to the reacting substrate. This ability also explains its high performance in other type of catalytic processes.
Two‐Coordinate NHC‐Supported ZnIIOrganocations: Steric and Electronic Tunability and Use in Alkyne Hydroboration Catalysis
Authors: Guermazi Refka , Specklin David , Gourlaouen Christophe , de Frémont Pierre , Dagorne Samuel 
Published: January 2022

AbstractWe herein report on the synthesis, structure, and use in alkyne hydroboration catalysis of [(IPrCl)Zn−R]+and [(ItBu)Zn−R]+cations bearing IPrCl (IPrCl=1,3‐bis[2,6‐bis(1‐methylethyl)phenyl]‐4,5‐dichloro‐1,3‐dihydro‐imidazol‐2‐ylidene) and the sterically demanding ItBu carbene (ItBu=1,3‐bis(1,1‐dimethylethyl)−1,3‐dihydro‐imidazol‐2‐ylidene). Ionization of neutral precursors [(IPrCl)ZnR2] (1 a, R=Et;1 b, R=Me) and [(ItBu)ZnEt2] (2) with one equivalent of [Ph3C][B(C6F5)4] led to with robust and stable two‐coordinate ZnIIcations [(IPrCl)Zn−R]+(3 a, R=Et;3 b, R=Me) and [(ItBu)Zn−Et]+(4), respectively, all isolated as [B(C6F5)4]−salts. Further derivatization of alkyl cations3 band4by reaction with one equivalent of [B(C6F5)3] afforded cations [(IPrCl)Zn−C6F5]+(5) and [(ItBu)Zn−C6F5]+(6) as [B(C6F5)4]−salts, with cation6displaying a limited stability in solution. The molecular structures of cations3 b,4and5were confirmed through X‐ray diffraction studies. Among stable cations, Fluoride ion affinity (FIA) estimations agree with cation5being the most Lewis acidic in thus far reported [(IPrCl)Zn−R]+cations. In the presence of pinacol borane and 1‐octyne, cations3 a–b,5and [(IPrCl)Zn−C6F5]+(5 mol%) slowly catalyze the selectivecis‐hydroboration of 1‐octyne to the vinylborane productA. Cation5also mediates 2‐hexyne hydroboration to afford a mixture of hydroboration productsBandC. In the case of hydroboration catalysis mediated by cations5and [(IPrCl)Zn−C6F5]+, experimental data and preliminary DFT calculations are consistent a Lewis‐acid‐type catalysis.
The antipsychotic aripiprazole induces peripheral antinociceptive effects through PI3Kγ/NO/cGMP/KATP pathway activation
Authors: Ferreira Renata C. M. , de Almeida Douglas L. , Duarte Igor D. G. , Aguiar Daniele C. , Moreira Fabrício A. , Romero Thiago R. L. 
Published: January 2022

AbstractBckgroundAripiprazole is an antipsychotic drug used to treat schizophrenia and bipolar disorder. Recently, its peripheral analgesic component was evaluated, however, the mechanism involved in this effect is not fully established. Therefore, the aim of the study was to obtain pharmacological evidence for the involvement of the nitric oxide system in the peripheral antinociceptive effect induced by aripiprazole.MethodsThe hyperalgesia was induced via intraplantar injection of prostaglandin E2 in mice and the nociceptive thresholds were evaluated using the paw pressure test. All drugs were injected locally into the right hind paw.ResultsThe PI3K inhibitor (AS605240), but not rapamycin (mTOR kinase inhibitor), reversed the peripheral antinociceptive effect induced by Aripiprazole. Antinociception was antagonized by the non‐selective inhibitor of the nitric oxide synthase (L‐NOarg). The same response was observed using the selective iNOS, but not with the selective nNOS inhibitors. The selective guanylyl cyclase enzyme inhibitor (ODQ) and the non‐selective potassium channel blocker tetraethylammonium were able to reverse the antinociceptive effect of aripiprazole. The same was seen using glibenclamide, an ATP‐dependent K+ channel blocker. However, calcium‐activated potassium channel blockers of small and high conductance, dequalinium chloride and paxilline, respectively, did not reverse this effect. The injection of cGMP‐specific phosphodiesterase type 5 inhibitor zaprinast, potentiated the antinociceptive effect induced by a low dose of aripiprazole.ConclusionThe results provide evidence that aripiprazole induces peripheral antinociceptive effects via PI3K/NO/cGMP/KATP pathway activation.
‘Sanna, Aren't You Ashamed?’ Affective‐discursive practices in online misogynist discourse of Finnish prime minister Sanna Marin
Authors: Sakki Inari , Martikainen Jari 
Published: January 2022

AbstractThis research examines online misogynist discourse related to the Finnish prime minister (PM) Sanna Marin's image published in Trendi magazine in October 2020. The affective‐discursive analysis of online commentaries resulted in the identification of four affective‐discursive practices: an immoral woman, incompetent woman, calculating woman and inferior woman. Misogynist discourse related to the PM Marin took the form of a moral act, drew from stereotypical images of women as less rational than men, appeared as accusations targeted at Marin for playing the gender card as a political tactic, and constructed an image of Marin and female politicians as objects of men's sexual desires and as inferior to men. These affective‐discursive practices mobilized dehumanizing discourse ranging from milder forms of derogation, scorn and other‐condemning practices to harsher forms of belittlement, humiliation and animalistic dehumanization. This study contributes to the current knowledge on the affective‐discursive processes underlying online misogyny against female politicians.
Impact of catalyst support morphology on 3D electrode structure and polymer electrolyte membrane fuel cell performance
Authors: Peter Benedikt , Stoeckel Daniela , Scherer Torsten , Kuebel Christian , Roth Christina , Melke Julia 
Published: January 2022

AbstractPorous carbon‐based electrodes are frequently applied in electrochemical energy technologies, for instance in fuel cells and redox flow batteries. In previous work, we observed that the final structure of a fuel cell electrode is dominated by both the morphology of the support material and its processing into a 3D porous structure. Herein, the impact of catalyst support morphology on the performance of polymer electrolyte membrane fuel cells was studied comparing carbon‐supported platinum catalysts only differing in the shape of the carbon support material with otherwise similar features. Carbon‐supported Pt catalysts were obtained by carbonization of polyaniline (PANI) in long fibrous, short fibrous, and granular shape. The chemical identity of the PANI precursors was demonstrated by FTIR spectroscopy and elemental analysis (EA). The final carbon‐supported platinum catalysts were characterized by EA, Raman spectroscopy, XRD, and TEM exhibiting similar degree of carbonization, nanoparticle size, and nanoparticle dispersion. The effect of support morphology and the resulting differences in the 3D structure of the porous electrode were investigated by focused ion beam‐scanning electron microscopy slice and view technique and correlated to their fuel cell performance.
LC‐ESI‐QTOF/MS characterization of antimicrobial compounds with their action mode extracted from vine tea (Ampelopsis grossedentata) leaves
Authors: Umair Muhammad , Sultana Tayyaba , Xiaoyu Zhu , Senan Ahmed M. , Jabbar Saqib , Khan Labiba , Abid Muhammad , Murtaza Mian Anjum , Kuldeep Dhama , Al‐Areqi Niyazi A. S. , Zhaoxin Lu 
Published: January 2022

AbstractVine tea (Ampelopsis grossedentata) is a tea plant cultivated south of the Chinese Yangtze River. It has anti‐inflammatory properties and is used to normalize blood circulation and detoxification. The leaves of vine tea are the most abundant source of flavonoids, such as dihydromyricetin and myricetin. However, as the main bioactive flavonoid in vine tea, dihydromyricetin was the main focus of previous research. This study aimed to explore the antibacterial activities of vine tea against selected foodborne pathogens. The antimicrobial activity of vine tea extract was evaluated by the agar well diffusion method. Cell membrane integrity and bactericidal kinetics, along with physical damage to the cell membrane, were also observed. The extract was analyzed using a high‐performance liquid chromatography‐diode array detector (HPLC‐DAD), and the results were confirmed using a modified version of a previously published method that combined liquid chromatography and electrospray‐ionized quadrupole time‐of‐flight mass spectrometry (LC‐ESI‐QTOF/MS). Cell membrane integrity and bactericidal kinetics were determined by releasing intracellular material in suspension and monitoring it at 260 nm using an ultraviolet (UV) spectrophotometer. A scanning electron microscope (SEM) was used to detect morphological alterations and physical damage to the cell membrane. Six compounds were isolated successfully: (1) myricetin (C15H10O8), (2) myricetin 3‐O‐rhamnoside (C21H20O12), (3) 5,7,8,3,4‐pentahydroxyisoflavone (C15H10O7), (4) dihydroquercetin (C15H12O7), (5) 6,8‐dihydroxykaempferol (C15H10O8), and (6) ellagic acid glucoside (C20H16O13). Among these bioactive compounds, C15H10O7 was found to have vigorous antimicrobial activity against Bacillus cereus (AS11846) and Staphylococcus aureus (CMCCB26003). A dose‐dependent bactericidal kinetics with a higher degree of absorbance at optical density 260 (OD260) was observed when the bacterial suspension was incubated with C15H10O7 for 8 h. Furthermore, a scanning electron microscope study revealed physical damage to the cell membrane. In addition, the action mode of C15H10O7 was on the cell wall of the target microorganism. Together, these results suggest that C15H10O7 has vigorous antimicrobial activity and can be used as a potent antimicrobial agent in the food processing industry.
Selection and identification of high‐affinity aptamer of Kunitz trypsin inhibitor and their application in rapid and specific detection
Authors: Bao Yunxiang , Zhu Dengzhao , Zhao Yang , Li Xinzhu , Gu Chunmei , Yu Hansong 
Published: January 2022

AbstractKunitz trypsin inhibitor (KTI), a harmful protein, seriously affects food hygiene and safety. Therefore, a sensitive, efficient, and rapid method for KTI detection is urgently needed. Aptamers are short and single‐stranded (ss) DNA that recognize target molecules with high affinity. This work used graphene oxide‐SELEX (GO‐SELEX) to screen KTI aptamers. The positive and reverse screening was designed to ensure the high specificity and affinity of the selected aptamers. After 10 rounds of screening, multiple nucleic acid chains were obtained, and the chains were sequenced. Three aptamers with better affinity were obtained, and the values of the dissociation constant (K
d) were calculated to be 52.6 nM, 22.7 nM, and 67.9 nM, respectively. Finally, a colorimetric aptamer biosensor based on gold nanoparticles (AuNPs) was constructed. The biosensor exhibited a broader linear range of 30–750 ng/ml, with a lower detection limit of 18 ng/ml, and the spiked recovery rate was between 98.2% and 103.3%. This experiment preliminary demonstrated the potential of the application of KTI aptamer in the real sample tests.
Machine learning and magnetic resonance imaging radiomics for predicting human papilloma virus status and prognostic factors in oropharyngeal squamous cell carcinoma
Authors: Park Young Min , Lim Jae‐Yol , Koh Yoon Woo , Kim Se‐Heon , Choi Eun Chang 
Published: January 2022

AbstractBackgroundWe attempted to predict pathological factors and treatment outcomes using machine learning and radiomic features extracted from preoperative magnetic resonance imaging (MRI) of oropharyngeal squamous cell carcinoma (OPSCC) patients.MethodsThe medical records and imaging data of 155 patients who were diagnosed with OPSCC were analyzed retrospectively.ResultsThe logistic regression model showed that the area under the receiver operating characteristic curve (AUC) of the model was 0.792 in predicting human papilloma virus (HPV) status. The LightGBM model showed an AUC of 0.8333 in predicting HPV status. The performance of the logistic model in predicting lymphovascular invasion, extracapsular nodal spread, and metastatic lymph nodes showed AUC values of 0.7871, 0.6713, and 0.6638, respectively. In predicting disease recurrence, the LightGBM model showed an AUC of 0.8571. In predicting patient death, the logistic model showed an AUC of 0.8175.ConclusionsA machine learning model using MRI radiomics showed satisfactory performance in predicting pathologic factors and treatment outcomes of OPSCC patients.
The impact of strike action on patient morbidity: A systematic literature review
Authors: Essex Ryan , Milligan Wendy , Williams Gareth , Weldon Sharon Marie 
Published: January 2022

AbstractStrike action in healthcare has been common over the last several decades. The overarching aim of this systematic review was to synthesise and analyse the empirical literature that examines the impact of strike action on patient morbidity, that is, all patient outcomes except mortality. After conducting a search and apply eligibility criteria, 15 studies were included in this review. These articles included a variety of outcomes from hypertension control to rates of chlamydia. Strikes ranged from 13 to 118 days, with a mean strike length of 56 days. A textual narrative synthesis was employed to arrange studies by whether they had a positive, mixed or neutral or negative impact on patient morbidity. Results suggest that strike action has little impact on patient morbidity. The majority of studies reported that strike action had a neutral or mixed impact of strike action on patient morbidity. One study reported positive outcomes and three studies reported negative outcomes, however in both cases, the impact that the strike had was marginal.
The importance of staying positive: The impact of emotions on attitude to risk
Authors: Brooks Chris , Sangiorgi Ivan , Saraeva Anastasiya , Hillenbrand Carola , Money Kevin 
Published: January 2022

AbstractIn this article, we examine the impact of emotions towards financial investments and emotions towards life in general on attitudes to financial risk using questionnaire data from 970 UK‐based retail investors. We show that risk tolerance monotonically increases with positive emotions towards investments and life, and decreases with negative emotions. We incorporate a broader range of relevant emotions than in comparable existing studies, and we show, perhaps surprisingly, that positive emotions have a more substantial impact on risk tolerance than negative emotions. We find that emotions towards investments have a considerably greater explanatory power for the cross‐section of risk aversion than gender, age, income, investment experience and investment knowledge. Our research sheds light on the different impacts that integral and background emotions have on retail investor financial decision‐making. We suggest several implications for regulators and financial advisors, and we emphasize the importance for financial educators to support investors in developing emotional resilience.
News sentiment and foreign portfolio investment in Brazil
Authors: de Freitas Rocha Cambara Leilane , Meurer Roberto 
Published: January 2022

AbstractThis paper aims to investigate the influence of news sentiment on foreign portfolio investment, as well as its disaggregated components (equity and debt securities) in Brazil. We construct a news sentiment index, based on the sentiment analysis of news stories published by the Wall Street Journal, from January 1999 to May 2018. The resulting index is consistent with national and international events during the period. There is evidence for the influence of news sentiment on these flows. This influence occurs in both contemporaneous and lagged values, in a way that an improvement in news sentiment leads to an increase in these flows in the next period. Additionally, the volatility of the flows responds asymmetrically to changes in news sentiment.
Risk assessment for endometrial cancer in women with abnormal vaginal bleeding: Results from the prospective IETA‐1 cohort study
Authors: Verbakel Jan Yvan , Heremans Ruben , Wynants Laure , Epstein Elisabeth , De Cock Bavo , Pascual Maria Angela , Leone Francesco Paolo Giuseppe , Sladkevicius Povilas , Alcazar Juan Luis , Van Pachterbeke Catherine , Jokubkiene Ligita , Fruscio Robert , Bourne Tom , Van Calster Ben , Timmerman Dirk , Van den Bosch Thierry ,   —for the IETA consortium
Published: January 2022

AbstractObjectiveTo investigate the association between personal history, anthropometric features and lifestyle characteristics and endometrial malignancy in women with abnormal vaginal bleeding.MethodsProspective observational cohort assessed by descriptive and multivariable logistic regression analyses. Three features—age, body mass index (BMI; calculated as weight in kilograms divided by the square of height in meters), and nulliparity—were defined a priori for baseline risk assessment of endometrial malignancy. The following variables were tested for added value: intrauterine contraceptive device, bleeding pattern, age at menopause, coexisting diabetes/hypertension, physical exercise, fat distribution, bra size, waist circumference, smoking/drinking habits, family history, use of hormonal/anticoagulant therapy, and sonographic endometrial thickness. We calculated adjusted odds ratio, optimism‐corrected area under the receiver operating characteristic curve (AUC), R2, and Akaike's information criterion.ResultsOf 2417 women, 155 (6%) had endometrial malignancy or endometrial intraepithelial neoplasia. In women with endometrial cancer median age was 67 years (interquartile range [IQR] 56–75 years), median parity was 2 (IQR 0–10), and median BMI was 28 (IQR 25–32). Age, BMI, and parity produced an AUC of 0.82. Other variables marginally affected the AUC, adding endometrial thickness substantially increased the AUC in postmenopausal women.ConclusionAge, parity, and BMI help in the assessment of endometrial cancer risk in women with abnormal uterine bleeding. Other patient information adds little, whereas sonographic endometrial thickness substantially improves assessment.
Early breast cancer diagnosis using cogent activation function‐based deep learning implementation on screened mammograms
Authors: Rajput Gunjan , Agrawal Shashank , Biyani Kunika , Vishvakarma Santosh Kumar 
Published: January 2022

AbstractBreast cancer is detected in one out of eight females worldwide. Principally biomedical image processing techniques work with images captured by a microscope and then analyzed with the help of different algorithms and methods. Instead of microscopic image diagnosis, machine learning algorithms are now incorporated to detect and diagnose therapeutic imagery. Computer‐aided mechanisms are used for better efficiency and reliability compared with manual pathological detection systems. Machine learning algorithms detect tumors by extracting features through a convolutional neural network (CNN) and then classifying them using a fully connected network. As Machine learning does not require prior expertise, it is profoundly used in biomedical imaging. This article has customized a convolutional neural network by mathematical modeling of a proposed activation function. We have obtained an appreciable prediction accuracy of up to 99%, along with a precision of 0.97.
Chimeric antigen receptor‐engineered adoptive cell therapy for AML: Current status and future perspectives
Authors: Huang Yue , Shao Mi , Wang Yiyun , Huang He 
Published: January 2022

AbstractAcute myeloid leukemia (AML) is one of the lethal hematological malignancies with high relapse rates and poor prognosis. Since chimeric antigen receptor cellular therapy has exhibited remarkable therapeutic outcomes in B‐cell malignancies, many studies have attempted to translate this success to other malignancies, including AML. Herein we review current achievements of chimeric antigen receptor‐based cell therapy in AML preclinical studies and clinical trials with potential AML‐associated cell markers. Furthermore, we discuss future prospects of chimeric antigen receptor‐based cell therapy options for patients with AML.