bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maintenance of androgen deprivation therapy or testosterone supplementation in the management of castration-resistant prostate cancer: that is the question
Authors: Caramella Irene , Dalla Volta Alberto , Bergamini Marco , Cosentini Deborah , Valcamonico Francesca , Berruti Alfredo 
Published: August 2022

Abstract
Purpose
Whether or not androgen receptor (AR) axis could still be targetable in castration resistant prostate cancer (CRPC) patients with disease progression to next generation hormonal agents (NGHAs) is a controversial issue.

Results
Serum testosterone in CRPC patients has a positive prognostic role and increasing testosterone levels after androgen deprivation therapy (ADT) withdrawal or testosterone supplementation, as part of a bipolar androgen therapy (BAT) strategy, has been shown to potentially restore sensitivity to previous lines of NGHAs.

Conclusion
These data suggest that maintenance of ADT in CRPC patients receiving further lines of treatment, as recommended by current international guidelines, could be questionable. Conversely, testosterone supplementation aimed to re-sensitize CRPC to further hormonal manipulation is a strategy worth to be explored in future clinical trials.
Differentials in Health and Wellbeing in Older Adults with Obesity in England: A Cross-Sectional Analysis Using the English Longitudinal Study of Ageing
Authors: Ghosh Gargi , Khan Hafiz T. A. , Vohra Salim 
Published: August 2022

AbstractThe aim of the study is to explore the association of obesity by body mass index (BMI) measurements with subjective health status (SHS), objective health status (OHS) and wellbeing status among older adults in England. The sample of 5640 participants (aged 50 years and over) are considered from the English Longitudinal Study of Ageing Wave 8 dataset. Multivariate logistic regression analysis is performed to explore the cross-sectional relationship of the study variables. The statistical analyses explored those overweight and obese older adults are progressively vulnerable to increasing odds of poor SHS, OHS and poor wellbeing in an adjusted model compared to their normal-weight counterparts. The outcome of the present study would enable policymakers and healthcare providers to have greater insight into the effects of socio-demographic and lifestyle factors and the effect of high BMI on older adults’ health and wellbeing.
The integrated comprehension of lncRNA HOXA-AS3 implication on human diseases
Authors: Yao Qinfan , Wang Cuili , Wang Yucheng , Zhang Xiuyuan , Jiang Hong , Chen Dajin 
Published: August 2022

AbstractLong non-coding RNA (lncRNA) is a non-protein-coding RNA with a length of more than 200 nucleotides. Studies have shown that lncRNAs have vital impacts on various pathological processes and participate in the development of human diseases, usually through acting as competing endogenous RNAs to modulate miRNA expression and biological functions. lncRNA HOXA Cluster Antisense RNA 3 (HOXA-AS3) was a newly discovered lncRNA and has been demonstrated to be abnormally expressed in many diseases. Moreover, HOXA-AS3 expression was closely correlated with the clinicopathologic characteristics in cancer patients. In addition, HOXA-AS3 exhibited significant properties in regulating several biological processes, including cell proliferation, invasion, and migration. Furthermore, HOXA-AS3 has provided promising values in the diagnosis, prognosis, and therapeutic strategies of several diseases such as liver cancer, glioma, lung cancer, oral cancer, gastric cancer, and even atherosclerosis. In this review, we discuss the abnormal expression of HOXA-AS3 in several human disorders and some pathobiological processes and its clinical characteristics, followed by a summary of HOXA-AS3 functions, regulatory mechanisms, and clinical application potential.
Chemical shift assignments of calmodulin bound to a C-terminal site (residues 1120–1147) in the β-subunit of a retinal cyclic nucleotide-gated channel (CNGB1)
Authors: Bej Aritra , Ames James B. 
Published: August 2022

AbstractRetinal cyclic nucleotide-gated (CNG) channels consist of two protein subunits (CNGA1 and CNGB1). Calmodulin (CaM) binds to two separate sites within the cytosolic region of CNGB1: CaM binding to an N-terminal site (human CNGB1 residues 565–587, called CaM1) decreases the open probability of CNG channels at elevated Ca2+ levels in dark-adapted photoreceptors, whereas CaM binding to a separate C-terminal site (CNGB1 residues 1120–1147, called CaM2) may increase channel open probability in light activated photoreceptors. We recently reported NMR chemical shift assignments of Ca2+-saturated CaM bound to the CaM1 site of CNGB1 (BMRB no. 51222). Here, we report complete NMR chemical shift assignments of Ca2+-saturated CaM bound to the C-terminal CaM2 site of CNGB1 (BMRB no. 51447).
Distorted Reality: A Commentary on DiMarco et al. (2022) and the Question of Male Sexual Victimization
Authors: Widanaralalage B. Kennath , Reed Shon M. , Lobo Antunes Maria João , DeJong Christina , Pinchevsky Gillian M. , Lovell Rachel , Cummings Cristy E. 
Published: August 2022

AbstractOur commentary responds to claims made by DiMarco and colleagues in an article published in this journal that the majority of victims of rape are men and that 80% of those who rape men are women. Although we strongly believe that studying male sexual victimization is a highly important research and policy endeavour, we have concerns with the approach taken by DiMarco and colleagues to discuss these incidents. Specifically, we critique their paper by addressing the definitions of rape used by the authors, questioning their interpretation of national victim surveys, evaluating their analysis of the underreporting of male rape, and highlighting the heteronormative framework they use to outline the landscape of male sexual victimization. With this commentary, we call for a holistic, nuanced, and balanced study of male sexual victimization that recognizes the reality of both female-on-male and male-on-male violence, the experiences of survivors, and multi-layered barriers that male victims often encounter.
Associations between online communication with strangers and mild delinquency in junior high school students
Authors: Obokata Akiko , Pauen Sabina 
Published: August 2022

AbstractToday, adolescents can easily make contact with strangers online. The present study examines the relation of online communication with strangers (OCS) and mild delinquency among junior high school students and explores which risk factors are associated with both types of behavior, taking gender differences into account. A total of 1873 Japanese adolescents (aged 12–15) with mobile phones completed online questionnaires assessing internet usage (duration, variability), parental behavior (violence, monitoring), and adolescent characteristics (depression, self-control) as potential predictors of OCS and mild delinquency. Sequential model testing revealed that the duration of internet usage was associated with both dependent variables, whereas its variability was associated with OCS alone. Self-control and parental violence predicted both outcome variables in girls, but only mild delinquency in boys. Depression was related with both behaviors in boys. Parental monitoring was negatively associated with OCS among girls and with mild delinquency among boys. Overall, OCS appeared to have a similar function for girls as mild delinquency did for boys. Implications for future studies and preventive programs will be discussed.
George Demetrius Sevastopulo (1941–2021), palaeontologist and stratigrapher: an appreciation
Authors: Wyse Jackson Patrick N. , Aretz Markus 
Published: August 2022

AbstractGeorge Demetrius Sevastopulo (1941–2021) was a palaeontologist, stratigrapher and educator who made significant contributions in these fields and who was an inspirational teacher and mentor to his peers and to generations of students.
METTL1 gene polymorphisms synergistically confer hepatoblastoma susceptibility
Authors: Ge Lili , Zhu Jinhong , Liu Jiabin , Li Li , Zhang Jiao , Cheng Jiwen , Li Yong , Yang Zhonghua , Li Suhong , He Jing , Zhang Xianwei 
Published: August 2022

Abstract
Introduction
Hepatoblastoma is a rare but devastating pediatric liver malignancy. Overexpressed methyltransferase-like 1 (METTL1) is a methyltransferase that catalyzes essential N7-methylguanosine (m7G) modification of eukaryotic mRNA. Accumulating evidence has revealed the oncogenic potential of METTL1. However, whether METTL1 gene polymorphisms confer susceptibility to hepatoblastoma has not been reported. This study aimed to identify causal relationships between genetic variants of this gene and susceptibility to hepatoblastoma.

Materials and methods
Using the TaqMan assay, we genotyped three METTL1 polymorphisms (rs2291617 G > T, rs10877013 T > C, rs10877012 T > G) in germline DNA samples from 1759 Chinese children of Han ethnicity (313 cases vs. 1446 controls).

Results
None of these polymorphisms were associated with hepatoblastoma risk. However, combination analysis showed that children with 1 to 3 risk genotypes were associated with increased hepatoblastoma risk (adjusted odds ratio = 1.47, 95% confidence interval  1.07–2.02; P = 0.018). Stratified analyses revealed significant effects of combined polymorphisms mainly among young children (< 17 months of age), boys, and those with advanced hepatoblastoma.

Conclusion
We identified some potential functional METTL1 gene polymorphisms that work together to increase the risk of hepatoblastoma among Chinese Han children; single polymorphism showed only weak effects. These METTL1 polymorphisms may be promising biomarkers for screening high-risk individuals for hepatoblastoma. These findings are inspiring and deserve to be validated among individuals of different ethnicities.

Graphical Abstract
Disrupting drive-by download networks on Twitter
Authors: Javed Amir , Ikwu Ruth , Burnap Pete , Giommoni Luca , Williams Matthew L. 
Published: August 2022

AbstractThis paper tests disruption strategies in Twitter networks containing malicious URLs used in drive-by download attacks. Cybercriminals use popular events that attract a large number of Twitter users to infect and propagate malware by using trending hashtags and creating misleading tweets to lure users to malicious webpages. Due to Twitter’s 280 character restriction and automatic shortening of URLs, it is particularly susceptible to the propagation of malware involved in drive-by download attacks. Considering the number of online users and the network formed by retweeting a tweet, a cybercriminal can infect millions of users in a short period. Policymakers and researchers have struggled to develop an efficient network disruption strategy to stop malware propagation effectively. We define an efficient strategy as one that considers network topology and dependency on network resilience, where resilience is the ability of the network to continue to disseminate information even when users are removed from it. One of the challenges faced while curbing malware propagation on online social platforms is understanding the cybercriminal network spreading the malware. Combining computational modelling and social network analysis, we identify the most effective strategy for disrupting networks of malicious URLs. Our results emphasise the importance of specific network disruption parameters such as network and emotion features, which have proved to be more effective in disrupting malicious networks compared to random strategies. In conclusion, disruption strategies force cybercriminal networks to become more vulnerable by strategically removing malicious users, which causes successful network disruption to become a long-term effort.
How coordinated link sharing behavior and partisans’ narrative framing fan the spread of COVID-19 misinformation and conspiracy theories
Authors: Gruzd Anatoliy , Mai Philip , Soares Felipe Bonow 
Published: August 2022

AbstractThis study examines the presence and role of Coordinated Link Sharing Behavior (CLSB) on Facebook around the “America’s Frontline Doctors” press conference, and the promotion of several unproven conspiracy theories including the false assertion that hydroxychloroquine is a “cure” for COVID-19 by Dr. Stella Immanuel, one of the doctors who took part in the press conference. We collected 7,737 public Facebook posts mentioning Stella Immanuel using CrowdTangle and then applied the specialized program CooRnet to detect CLSB among Facebook public pages, groups and verified profiles. Finally, we used a mixed-method approach consisting of both network and content analysis to examine the nature and scope of the detected CLSB. Our analysis shows how Facebook accounts engaged in CLSB to fuel the spread of misinformation. We identified a coalition of Facebook accounts that engaged in CLSB to promote COVID-19 related misinformation. This coalition included US-based pro-Trump, QAnon, and anti-vaccination accounts. In addition, we identified Facebook accounts that engaged in CLSB in other countries, such as Brazil and France, that primarily promoted hydroxychloroquine, and some accounts in African countries that criticized the government's pandemic response in their countries.
“In any crisis there is an opportunity for us to learn something new”: Australian teacher experiences during COVID-19
Authors: Sharma Umesh , Laletas Stella , May Fiona , Grove Christine 
Published: August 2022

AbstractThe aim of this study was to investigate the factors that supported Australian teachers to meet the needs of all learners during COVID-19 lockdowns. A qualitative design was used, and interviews were conducted with teachers who were purposely identified. The participants (n = 5) worked across different educational contexts ranging from primary to secondary school settings. The interview data were analysed using thematic analysis. Five themes were identified related to teachers’ intrinsic strengths: passion and commitment, a proactive and organised approach, enhanced flexibility, building relationships and access to online technology. A further three extrinsic supporting factors were identified: supportive school teams, supportive school leadership (empowerment, autonomy and time) and supportive school systems and structures. The implications of these findings are discussed and the need for sharing and applying learnings across the profession are emphasised as an opportunity to further improve the access of every learner to a high quality and inclusive education.
A critical view on the real-world security of logic locking
Authors: Engels Susanne , Hoffmann Max , Paar Christof 
Published: August 2022

AbstractWith continuously shrinking feature sizes of integrated circuits, the vast majority of semiconductor companies have become fabless, outsourcing to foundries across the globe. This exposes the design industry to a number of threats, including piracy via IP-theft or unauthorized overproduction and subsequent reselling on the black market. One alleged solution for this problem is logic locking, where the genuine functionality of a chip is “locked” using a key only known to the designer. Solely with a correct key, the design works as intended. Since unlocking is handled by the designer only after production, an adversary in the supply chain should not be able to unlock overproduced chips. In this work, we focus on logic locking against the threat of overproduction. First, we survey existing locking schemes and characterize them by their handling of keys, before extracting similarities and differences in the employed attacker models. We then compare said models to the real-world capabilities of the primary adversary in overproduction—a malicious foundry. This comparison allows us to identify pitfalls in existing models and derive a more realistic attacker model. Then, we discuss how existing schemes hold up against the new attacker model. Our discussion highlights that several attacks beyond the usually employed SAT-based approaches are viable. Crucially, these attacks stem from the underlying structure of current logic locking approaches, which has never changed since its introduction in 2008. We conclude that logic locking, while being a promising approach, needs a fundamental rethinking to achieve real-world protection against overproduction.
The potential role of insulin resistance in predicting outcome from intravenous thrombolytic therapy
Authors: Ali Mona , Hussein Mona , Magdy Rehab , Khamis Ahmed , Othman Asmaa M. , Abdelkareem Shaimaa A. , Osama Wesam 
Published: August 2022

Abstract
Background
The potential impact of insulin resistance on stroke prognosis after IV thrombolysis is poorly understood. This study aimed to assess the effect of insulin resistance and metabolic syndrome on the outcome of IV thrombolysis in non-diabetic patients with acute ischaemic stroke.

Methods
This prospective observational study was conducted on 70 non-diabetic acute ischaemic stroke patients who received rt-PA within 3 h of stroke onset. Patients were subjected to baseline and follow-up NIHSS measurements at 24 h and 3 months post-treatment. Stroke outcome was assessed after 3 months using the Modified Rankin Scale (mRS). The homeostasis model assessment–insulin resistance (HOMA-IR) was calculated for the included patients at stroke onset.

Results
The mean age of included patients was 57.04 ± 14.39 years. Patients with unfavourable outcome had a significantly higher frequency of insulin resistance and metabolic syndrome, higher values of baseline NIHSS, insulin, HOMA-IR, uric acid and lower levels of HDL than those with favourable outcome (P value = 0.035, 0.007, ≤ 0.001, 0.001, ≤ 0.001, 0.002, 0.033, respectively). Each point increase in NIHSS before rt-PA increased the odds of an unfavourable outcome by 2.06 times (95% CI 1.22 − 3.478). Also, insulin resistance increased the odds of the unfavourable outcome by 11.046 times (95% CI 1.394–87.518). There was a statistically significant improvement in NIHSS 3 months after receiving rt-PA in all patients, significantly higher in patients who did not have insulin resistance or metabolic syndrome.

Conclusion
Insulin resistance and metabolic syndrome were associated with worse functional outcomes in non-diabetic stroke patients after receiving rt-PA.
An integrated fuzzy credit rating model using fuzzy-BWM and new fuzzy-TOPSIS-Sort-C
Authors: Roy Pranith K. , Shaw Krishnendu 
Published: August 2022

AbstractFinancial institutions use credit rating models to make lending, investing, and risk management decisions. Credit rating models have been developed using a variety of statistical and machine learning methods. These methods, however, are data-intensive and dependent on assumptions about data distribution. This research offers an integrated fuzzy credit rating model to address such issues. This study proposes an integrated fuzzy credit rating model to reduce such problems. The study applies the fuzzy best–worst method (fuzzy-BWM) to obtain the weight of criteria that affect creditworthiness and fuzzy technique for order of preference by similarity to ideal solution (fuzzy-TOPSIS)-Sort-C to evaluate the borrowers. The BWM was found consistent amongst existing multi-criteria decision-making (MCDM) methods, and consistency further improves when BWM is extended to a fuzzy version. The study applies TOPSIS-Sorting along with fuzzy theory to overcome human uncertainty while making a decision. TOPSIS-sorting has been found capable of handling rank reversal problems that persist in the TOPSIS method. The fuzzy-TOPSIS-Sort-C method is applied to evaluate borrowers based on the characteristic profile of the identified criteria. The proposed model's efficacy has been illustrated with a case study to rate fifty firms with real-life data. The proposed model results are compared with previous studies and commercially available ratings. The model results show better accuracy in terms of accuracy and true-positive rates to predict default. It can help financial institutions to find potential borrowers for granting credit.
Self-Exfoliation of Flake Graphite for Bioinspired Compositing with Aramid Nanofiber toward Integration of Mechanical and Thermoconductive Properties
Authors: Huang Limei , Xiao Guang , Wang Yunjing , Li Hao , Zhou Yahong , Jiang Lei , Wang Jianfeng 
Published: August 2022

Highlights

A self-grinding exfoliation strategy that depends on mutual shear friction between flake graphite particles is successfully developed to prepare pristine graphene with largely enhanced yield and productivity.

Bioinspired assembly of pristine graphene nanosheets to an interconnected aramid nanofiber network is achieved by a continuous sol-gel-film transformation strategy and generates a flexible yet highly thermoconductive film.

Abstract
Flexible yet highly thermoconductive materials are essential for the development of next-generation flexible electronic devices. Herein, we report a bioinspired nanostructured film with the integration of large ductility and high thermal conductivity based on self-exfoliated pristine graphene and three-dimensional aramid nanofiber network. A self-grinding strategy to directly exfoliate flake graphite into few-layer and few-defect pristine graphene is successfully developed through mutual shear friction between graphite particles, generating largely enhanced yield and productivity in comparison to normal liquid-based exfoliation strategies, such as ultrasonication, high-shear mixing and ball milling. Inspired by nacre, a new bioinspired layered structural design model containing three-dimensional nanofiber network is proposed and implemented with an interconnected aramid nanofiber network and high-loading graphene nanosheets by a developed continuous assembly strategy of sol–gel-film transformation. It is revealed that the bioinspired film not only exhibits nacre-like ductile deformation behavior by releasing the hidden length of curved aramid nanofibers, but also possesses good thermal transport ability by directionally conducting heat along pristine graphene nanosheets.

Graphical abstract
Importance of Standardizing Analytical Characterization Methodology for Improved Reliability of the Nanomedicine Literature
Authors: Sharifi Shahriar , Mahmoud Nouf N. , Voke Elizabeth , Landry Markita P. , Mahmoudi Morteza 
Published: August 2022

AbstractUnderstanding the interaction between biological structures and nanoscale technologies, dubbed the nano-bio interface, is required for successful development of safe and efficient nanomedicine products. The lack of a universal reporting system and decentralized methodologies for nanomaterial characterization have resulted in a low degree of reliability and reproducibility in the nanomedicine literature. As such, there is a strong need to establish a characterization system to support the reproducibility of nanoscience data particularly for studies seeking clinical translation. Here, we discuss the existing key standards for addressing robust characterization of nanomaterials based on their intended use in medical devices or as pharmaceuticals. We also discuss the challenges surrounding implementation of such standard protocols and their implication for translation of nanotechnology into clinical practice. We, however, emphasize that practical implementation of standard protocols in experimental laboratories requires long-term planning through integration of stakeholders including institutions and funding agencies.