bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the role of empowerment in Black women's HIV and AIDS activism in the United States: An integrative literature review
Authors: Rutledge Jaleah D. 
Published: January 2023

AbstractBlack women in the United States continue to be disproportionately affected by the Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) epidemic. HIV/AIDS activism among Black women for Black women may be one solution to reduce the disparate rates of HIV/AIDS among Black women. However, little is known about what processes and experiences prompt Black women to participate in HIV/AIDS activism. In this paper, I aim to identify mechanisms of empowerment for Black women to engage in HIV/AIDS activism. I draw upon empowerment theory as a theoretical framework to guide analysis of the literature and to offer a strengths‐based perspective on Black women's efforts to reduce the spread of HIV/AIDS. An extensive literature search was conducted to identify studies of Black women's participation in HIV/AIDS activism. The search yielded 11 studies that were included for review. Synthesis of the literature indicated the following analytic themes as mechanisms of empowerment for Black women to participate in HIV/AIDS activism: relationships and interactions with others, critical awareness, self‐reflection, and spirituality. Article limitations, suggestions for future research, and implications for social change are also discussed. Overall, findings from this study suggest that there are unique mechanisms that facilitate psychological empowerment and prompt Black women's entry into HIV/AIDS activism.
Diffusion effects of a sexual violence prevention program leveraging youth–adult partnerships
Authors: Edwards Katie M. , Banyard Victoria L. , Waterman Emily A. , Simon Briana , Hopfauf Skyler , Mitchell Kimberly J. , Jones Lisa M. , Mercer Kollar Laura M. , Valente Thomas W. 
Published: January 2023

AbstractThe purpose of the current study was to examine the diffusion effects of a youth‐led sexual violence prevention program (i.e., Youth Voices in Prevention [Youth VIP]). Specifically, social network analysis was used to measure the extent to which Youth VIP changed behaviors for 1172 middle and high school youth who did not attend program events but were friends with Youth VIP participants and completed the first and final survey (approximately 2 years apart). Findings suggest that there was considerable interpersonal communication about Youth VIP among the students generated by program participation. Specifically, youth with friends who participated in Youth VIP were more likely to report hearing their friends talk about Youth VIP and reported talking to their friends about Youth VIP compared with those not connected to Youth VIP participants. However, there were no diffusion effects found for behavioral outcomes (i.e., bystander intervention behavior, violence victimization, and perpetration). Given the mixed findings, further research is needed to determine the extent to which youth‐led sexual violence prevention initiatives lead to changes in broader community‐wide changes in youths’ behaviors.
Molecular Dynamics Simulations Guide Chimeragenesis and Engineered Control of Chemoselectivity in Diketopiperazine Dimerases
Authors: Shende Vikram V. , Harris Natalia R. , Sanders Jacob N. , Newmister Sean A. , Khatri Yogan , Movassaghi Mohammad , Houk Kendall N. , Sherman David H. 
Published: January 2023

AbstractIn the biosynthesis of the tryptophan‐linked dimeric diketopiperazines (DKPs), cytochromes P450 selectively couple DKP monomers to generate a variety of intricate and isomeric frameworks. To determine the molecular basis for selectivity of these biocatalysts we obtained a high‐resolution crystal structure of selective Csp2−N bond forming dimerase, AspB. Overlay of the AspB structure onto C−C and C−N bond forming homolog NzeB revealed no significant structural variance to explain their divergent chemoselectivities. Molecular dynamics (MD) simulations identified a region of NzeB with increased conformational flexibility relative to AspB, and interchange of this region along with a single active site mutation led to a variant that catalyzes exclusive C−N bond formation. MD simulations also suggest that intermolecular C−C or C−N bond formation results from a change in mechanism, supported experimentally through use of a substrate mimic.
An eco‐friendly matrix‐augmented fluorescence spectroscopic approach for the analysis of mitoxantrone, an oncogenic therapy; application to the dosage form and biological matrices
Authors: Hamad Ahmed A. , Hassan Yasser F. , Eltoukhi Walid E. , Derayea Sayed M. , Abourehab Mohammed A. S. , Mohammed Bassam S. 
Published: January 2023

AbstractMitoxantrone (MXN) is a synthetic anthracenedione oncogenic therapy. It is often prescribed as an anticancer agent to manage a variety of cancers. A green, fast, and easy fluorimetric technique for the assay of MXN as a topoisomerase type II enzyme suppressor. An investigation of MXN's fluorescence behavior in various media and solvents constituted the basis for this new technique. Methanol was shown to enhance the intrinsic fluorescence considerably. After excitation at 610 nm, the highest fluorescence intensity was found at 675 nm. Various experimental parameters, such as media, solvents, and pH levels, were tested and adjusted. ICH (International Conference on Harmonization) guidelines were followed when validating procedures. It was possible to achieve linearity in the 0.02–1.50 μg ml−1 with the method. The sensitivity (in terms of limit of detection and limit of quantification) was 0.003 and 0.008 μg ml−1, indicating low toxicity. As a result, the current technology has a remarkable recovery for detecting residues in diverse bodily fluids. Also, the quantum yield was estimated for the designed system. Finally, the method was rated by eco‐scale scoring.
Melatonin ameliorates arsenic‐induced cardiotoxicity through the regulation of the Sirt1/Nrf2 pathway in rats
Authors: Yarmohammadi Fatemeh , Barangi Samira , Aghaee‐Bakhtiari Seyed Hamid , Hosseinzadeh Hossein , Moosavi Zahra , Reiter Russel J. , Hayes A. Wallace , Mehri Soghra , Karimi Gholamreza 
Published: January 2023

AbstractChronic arsenic (As) exposure, mainly as a result of drinking contaminated water, is associated with cardiovascular diseases. Mitochondrial dysfunction, oxidative stress, inflammation, apoptosis, and autophagy have been suggested as the molecular etiology of As cardiotoxicity. Melatonin (Mel) is a powerful antioxidant. Mel improves diabetic cardiomyopathy, cardiac remodeling, and heart failure. Following pre‐treatment with Mel (10, 20, or 30 mg/kg/day i.p.), rats were orally gavaged with As (15 mg/kg/day) for 28 days. Electrocardiographic findings showed that Mel decreased the As‐mediated QT interval prolongation. The effects of As on cardiac levels of glutathione (GSH) and malondialdehyde (MDA) were reversed by Mel pretreatment. Mel also modulated the Sirt1 and Nrf2 expressions promoted by As. Mel down‐regulated autophagy markers such as Beclin‐1 expression and the LC3‐II/I ratio. Moreover, the cardiac expression of cleaved‐caspase‐3 and Bax/Bcl‐2 ratio was decreased by Mel pretreatment. Reduced expression of miR‐34a and miR‐144 by As were reversed by Mel. The histopathological changes of cardiac injury associated with As exposure was moderated by Mel. Mel may improve As‐induced cardiac dysfunction through anti‐oxidative, anti‐apoptotic, and anti‐autophagic mechanisms.
Application of QbD based approach in development and validation of RP‐HPLC method for simultaneous estimation of methotrexate and baicalin in dual‐drug‐loaded liposomes
Authors: Adin Syeda Nashvia , Gupta Isha , Aqil Mohd , Mujeeb Mohd 
Published: January 2023

AbstractThe present study delineates the development of a novel, rugged and sensitive stability‐indicating risk‐based HPLC method for the concurrent estimation of methotrexate (MTX) and baicalin (BCL) in dual‐drug‐loaded‐nanopharmaceuticals based on an analytical quality‐by‐design approach. Preliminary screening trials along with systemic risk analysis were performed, endeavouring to explicate the critical method attributes, namely pH, percentage of orthophosphoric acid and percentage of acetonitrile, that influence the critical quality attributes. Box–Behnken design was utilized for the optimization of the tailing factor as the response for MTX and BCL in a short run time. The chromatographic conditions were optimized by performing 17 experimental runs using design expert software. The chromatographic conditions were selected after the analysis of the optimized zone within the confines of the design space: water:acetonitrile adjusted to a pH of 3.0 with 0.05% orthophosphoric acid (60:40, %v/v) was the mobile phase, the flow rate was 1.0 ml/min and an analytical C18 column was used at an isobestic wavelength of 282 nm. Furthermore, the optimized method was validated in accordance with the International Council for Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use guidelines and was found to be within the prescribed limits. Therefore, the developed reversed‐phase‐high‐performance liquid chromatography method has a high degree of practical utility for synchronous detection of MTX and BCL in pharmaceutical nano‐dosage forms such as protein‐based nanoparticles, nanocrystals, polymeric nanoparticles and metallic nanoparticles in in vivo and in vitro studies.
Tris(boranil) Columnar Liquid Crystalline Fluorophores: pseudo‐Triphenylene Boron(III) Complexes with Peripheral N−B−O Linkages
Authors: Veerabhadraswamy B. N. , Khatavi Santosh Y. , Rathod Anil S. , Kanakala Madhu Babu , Rao D. S. Shankar , Yelamaggad Channabasaveshwar V. 
Published: January 2023

AbstractThe borate complexes derived from salicylaldimine ligands, called boranils, possess a wide range of photophysical and electronic characteristics intrinsically. The unique combination of molecular rigidity, rendered by four‐coordinate boron bridges, and extended π‐conjugation enable them to serve as technically feasible fluorescent materials (dyes). The incorporation of liquid crystallinity in these boron(III) complexes, especially the columnar (Col) mesomorphism, which is overlooked hitherto, would provide a new dimension to these complexes. Herein, we report the first examples of tris(boranil) discotic liquid crystal (LC) dyes that have been readily synthesized by treating tris(N‐salicylideneaniline)s, (TSAN)s, with BF3.Et2O in the presence of an acid quencher. These C3‐symmetric borate complexes self‐assemble into the Col phase, existing over a wide thermal span including room temperature. The 2D periodic order of the Col phases shows dependence on the length of the peripheral tails. The photophysical measurements reveal the fluorescence emission in their two condensed states viz., solid and Col phase, and in solution. Their electrochemical, two‐step oxidation process coupled with the aforesaid features upholds their significance in applied research.
Attachment anxiety, reflective functioning and well‐being as predictors of burn‐out and psychological distress among psychotherapists: A longitudinal study
Authors: Brugnera Agostino , Zarbo Cristina , Scalabrini Andrea , Compare Angelo , Mucci Clara , Carrara Silvia , Tasca Giorgio Angelo , Hewitt Paul , Greco Andrea , Poletti Barbara , Esposito Rosy , Cattafi Francesco , Zullo Claudio , Lo Coco Gianluca 
Published: January 2023

AbstractObjectiveThis study aims to longitudinally investigate the effects of individual's factors on subsequent burn‐out/psychological distress in a sample of mental health practitioners, testing if higher attachment anxiety and avoidance and lower reflective functioning (i.e., certainty and uncertainty of mental states) and well‐being at baseline may lead to a greater psychological distress and burn‐out 1 year later.MethodsThe sample consisted of 40 experienced psychotherapists (females: 72.5%; mean age: 47.40 ± 9.48 years) who completed a battery of questionnaires at baseline and 1 year later. Statistical analyses were conducted with Bayesian multiple linear regressions.ResultsGreater attachment anxiety and certainty about mental states and lower individual's well‐being at baseline predicted greater burn‐out 1 year later. Similarly, greater attachment anxiety and lower individual's well‐being at baseline predicted psychological distress at 1 year follow‐up. Of note, uncertainty of mental states and avoidant attachment were not associated with outcomes.ConclusionThese findings suggest that the levels of burn‐out and psychological distress among psychotherapists may be alleviated with interventions targeting attachment insecurity, specific aspects of reflective functioning (i.e., certainty about mental states) and well‐being.
AlN Thin Films Grown on Different Substrates by Metal Nitride Vapor Phase Epitaxy
Authors: Wang Endong , Zhang Hui , Xie Xinjian , Xie Luxiao , Bian Lifeng , Chen Guifeng 
Published: January 2023

AbstractIn this paper, AlN thin films are fabricated by green and efficient metal nitride vapor phase epitaxy (MNVPE). First, AlN films are grown on c‐plane sapphire substrates at different molar flow ratios (V/III ratios) of the source material, and the effects of V/III on the crystal quality and surface morphology of the films are investigated. The growth conditions are kept constant (growth temperature of 1550 °C, growth pressure of 10 kPa, V/III ratio of 4420), and the AlN thin films are prepared by heterogeneous epitaxial growth on c‐plane sapphire, silicon (111), and GaN substrates. The crystal quality, residual stress, and luminescence properties of epitaxial AlN thin films on the three substrates are investigated using X‐ray diffraction, scanning electron microscopy, Raman spectroscopy, photoluminescence, and UV spectrophotometer. Among them, the FWHM value of the sample AlN/GaN (002) plane can reach 338 arcsec. The residual stress in samples AlN/Sapphire, AlN/GaN and AlN/Si are 1027, −81, and −541 MPa, respectively, and the sample AlN/GaN has fewer point defects. At the same time, a 50‐nanometer‐thick void layer appears in the AlN thin film samples prepared on GaN substrates, which provides a new technical idea for realizing large‐scale and high‐quality self‐supporting AlN thin films.
Multiplicative Topological Indices of the Crystal Cubic Carbon Structure
Authors: Sharma Sahil , Bhat Vijay Kumar , Lal Sohan 
Published: January 2023

AbstractChemical graph theory assumes an imperative part in displaying and planning any chemical structure or chemical network. The molecular structure of a chemical molecule strongly relates to its properties. The graphs that make up the molecular structure are made up of units known as vertices, and the covalent bonds that connect them are known as edges. The topological indices of any chemical compound can be used to better understand the chemical structure and its biological characteristics. In this study, the degree‐based multiplicative topological indices of the crystalline structure of cubic carbon (CCS) for levels m = 3–10 are computed, CCS[m] being one of the precious carbon allotropes.
Examination of bidirectional relationships between fear of negative evaluation and weight/shape concerns over 3 years: A longitudinal cohort study of Australian adolescents
Authors: Trompeter Nora , Austen Emma , Bussey Kay , Reilly Erin E. , Cunningham Mitchell L. , Mond Jonathan , Lonergan Alexandra , Tame Jack , Mitchison Deborah 
Published: January 2023

AbstractObjectiveAdolescents commonly experience both fear of negative evaluation and weight/shape concerns. However, evidence concerning the prospective associations between these constructs during adolescence is limited. The current study examined the bidirectional relationships between fear of negative evaluation and weight/shape concerns over a 3‐year period in adolescents.MethodAustralian high school students (n = 2073; 55% girls) completed self‐report measures at three timepoints, each 1 year apart.ResultsFindings showed a bidirectional relationship, whereby increases in fear of negative evaluation predicted exacerbated weight/shape concerns, and vice versa. Results point towards a vicious maintenance cycle between fear of negative evaluation and weight/shape concerns.DiscussionFindings from the current study highlight the importance of considering both fear of negative evaluation and weight/shape concerns in the development of health promotion and prevention programs designed to reduce the occurrence and adverse effects of body dissatisfaction or improve general mental health.Public SignificanceMany adolescents experience some level of fear of negative evaluation (i.e., worry about being judged by others) and worry about their weight and/or shape. This study examined the prospective relationship between both constructs. Findings showed a bidirectional relationship, whereby higher fear of negative evaluation predicted increased weight/shape concerns, and vice versa. Programs designed to reduce body dissatisfaction might be improved by targeting both fear of negative evaluation and weight/shape concerns.
A suite of broadband physics‐based ground motion simulations for the Istanbul region
Authors: Zhang Wenyang , Crempien Jorge G.F. , Kurtulus Asli , Chen Peng‐Yu , Arduino Pedro , Taciroglu Ertugrul 
Published: January 2023

AbstractPhysics‐based earthquake ground motion simulations (GMS) have acquired significant growth over the last two decades, mainly due to the explosive developments of high‐performance computing techniques and resources. These techniques benefit high/medium seismicity regions such as the city of Istanbul, which presents insufficient historical ground motion data to properly estimate seismic hazard and risk. We circumvent this reality with the aid of the Texas Advanced Computing Center (TACC) facilities to perform a suite of 57 high‐fidelity broadband (8–12 Hz) large‐scale physics‐based GMS for a region in Istanbul, Turkey. This paper focuses on the details of simulated GMS: (i) validation of the GMS approach against recorded ground motions produced by the 2019 Silivri earthquake; (ii) characteristics of 57 different source models, which aim to consider the uncertainties of many fault rupture features, including the length and width, dip, strike, and rake angles of considered fault planes, as well as hypocenter locations and earthquake magnitudes ranging between 6.5 and 7.2; (iii) high‐resolution topography and bathymetry and seismic data that are incorporated into all GMS; (iv) simulation results, such as PGAs and PGVs versus and distances to fault ruptures (), of 2912 surface stations for all 57 GMS. More importantly, this research provides a massive database of displacement, velocity and acceleration time histories in all three directions over more than 20,000 stations at both surface and bedrock levels. Such site‐specific high‐density and ‐frequency simulated ground motions can notably contribute to the seismic risk assessment of this region and many other applications.
Assessment of ground motion amplitude scaling using interpretable Gaussian process regression: Application to steel moment frames
Authors: Fayaz Jawad , Torres‐Rodas Pablo , Medalla Miguel , Naeim Farzad 
Published: January 2023

AbstractThe process of ground motion selection and scaling is an integral part of hazard‐ and risk‐consistent seismic demand analysis of structures. Due to the lack of ground motion records that naturally possess high amplitude and intensity, the research community generally relies on scaling the records to match a target hazard intensity level. The scaling factors used are frequently as high as 10. Due to the criticism received in previous research studies, the extent of amplitude scaling and its process has become a matter of debate, and various constraints on the scaling factors have been proposed. The primary argument against unrestricted amplitude scaling is the unrealistic nature of the scaled records and the possible biases caused in the engineering demand parameters (EDPs) of structures. This study presents a framework to utilize machine‐learning and statistical techniques for the assessment of ground motion amplitude scaling for nonlinear time‐history analysis (NTHA) of structures. The framework utilizes Bayesian non‐parametric Gaussian process regressions (GPRs) as surrogate models to obtain statistical estimates of EDPs for scaled and unscaled ground motions. The GPR surrogate models are developed based on a large‐scale analysis of five steel moment frames (SMFs) using 200 unscaled as‐recorded ground motions for ten spectral acceleration levels, () (ranging from 0 g to maximum considered earthquake, MCE) and 2500 scaled ground motions representing 50 scale factors (), and the 10 levels for each SMF. For each building, two types of EDPs are considered: i) peak inter‐story drift ratio (PIDR) and ii) peak floor acceleration (PFA). To provide a better interpretation of the GPR surrogate models, the concept of explainable artificial intelligence (i.e., Shapley additive explanation, SHAP) is used to obtain insights into the decision‐making process of the GPR models with respect to the and . Then, for the 10 levels, the GPR‐based EDP estimates under scaled ground motions corresponding to 50 different SFs are compared with the EDP estimates of unscaled ground motions. The comparison is conducted using Kolmogorov–Smirnov (KS) statistical hypothesis test. Results indicate that the range of allowable s depends on two factors: i) intensity level (characterized by ), and ii) the dynamic properties of the building. In general, it is noticed that allowable s range between 0.5 and 3.0 for PIDRs, and from 0.6 to 2.0 for PFAs. Finally, the EDP between the unscaled and scaled ground motions are adhered to various discrepancies observed in different intensity measures representing amplitude‐, duration‐, energy‐, and frequency‐ content of the two sets of ground motions.
Advancement in COVID‐19 detection using nanomaterial‐based biosensors
Authors: Truong Phuoc Loc , Yin Yiming , Lee Daeho , Ko Seung Hwan 
Published: January 2023

AbstractCoronavirus disease 2019 (COVID‐19) pandemic has exemplified how viral growth and transmission are a significant threat to global biosecurity. The early detection and treatment of viral infections is the top priority to prevent fresh waves and control the pandemic. Severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has been identified through several conventional molecular methodologies that are time‐consuming and require high‐skill labor, apparatus, and biochemical reagents but have a low detection accuracy. These bottlenecks hamper conventional methods from resolving the COVID‐19 emergency. However, interdisciplinary advances in nanomaterials and biotechnology, such as nanomaterials‐based biosensors, have opened new avenues for rapid and ultrasensitive detection of pathogens in the field of healthcare. Many updated nanomaterials‐based biosensors, namely electrochemical, field‐effect transistor, plasmonic, and colorimetric biosensors, employ nucleic acid and antigen–antibody interactions for SARS‐CoV‐2 detection in a highly efficient, reliable, sensitive, and rapid manner. This systematic review summarizes the mechanisms and characteristics of nanomaterials‐based biosensors for SARS‐CoV‐2 detection. Moreover, continuing challenges and emerging trends in biosensor development are also discussed.