bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparative study for the removal of reactive red 49 (RR49) and reactive yellow 15 (RY15) using a novel electrode by electrocoagulation technique
Authors: Ramadan Mohamed M. , Moneer Abeer A. , El-Mallah Nabila M. , Ramadan Mohamed SH. , Shaker Azza M. 
Published: March 2023

AbstractThe present work deals with the investigation of the efficiency of the electrocoagulation (EC) technique in the removal of two different reactive dyes as a simple, durable, and cost-effective technique for wastewater treatment. The difference in structure between Reactive Red 49 (RR49) and Reactive Yellow 15 (RY15) is explored during the treatment process through the use of a novel design of electrodes. The optimum conditions obtained were 80 and 60 mg/L of initial dye concentrations, pH of 5.9 and 4 for RR49 and RY15, respectively, 0.5 g of NaCl electrolyte, and 900 and 500 rpm of stirring rate for RR49 and RY17 dyes respectively, which led to the highest percent removal (98.5%) for both dyes. The suitable temperatures were 20 and 30 °C for RR49 and RY15, respectively. The thermodynamic parameters were designated, and it was a spontaneous process for both dyes. The removal process was designated to pseudo- second-order for the RR49 dye and pseudo- first-order for the RY15 dye and fitted to the Langmuir model. Analysis of Variance (ANOVA) was presented to assess the variation of the outcomes attained from each factor.
Superhydrophobic and superlipophilic biochar produced from microalga torrefaction and modification for upgrading fuel properties
Authors: Zhang Congyu , Wang Meng , Chen Wei-Hsin H. , Zhang Ying , Pétrissans Anelie , Pétrissans Mathieu , Ho Shih-Hsin H. 
Published: March 2023

AbstractTorrefaction operation is an essential pathway for solid biofuel upgrading, and good hydrophobicity of torrefied biochar is conducive to its storage. Herein, a two-stage treatment of torrefaction followed by modification by hexadecyltrimethoxysilane was adopted to improve the moisture resistance performance of biochar. This two-stage treatment process led to a longer torrefied microalgal biochar preservation time (60–200% improved) and great superhydrophobicity and superlipophilicity. Therefore, the modified microalgal biochar could significantly adsorb leaking oil for environmental remediation and further improve the calorific value of the biochar. The obtained results indicated that the oil adsorption capacity of modified microalgal biochar was correlated to torrefaction temperature and oil species. Specifically, the oil adsorption capacity was enhanced up to 70–80% from the modification process when comparing to raw microalga. Increasing the torrefaction temperature enhanced the adsorption quantity of the modified microalgal biochar. By adsorbing the oil, the calorific value of oilchar, namely, biochar with adsorbed oil, could be higher than 40 MJ kg− 1. Furthermore, the pyrolysis and combustion characteristics suggested that biochar stability gradually rose as the torrefaction temperature increased. By comprehensively analyzing and comparing the fuel performance of the modified microalgal biochar with previous literature, the obtained modified microalgal biochar possessed better fuel properties and environmental sustainability.
Graphical Abstract
Approach to Reference Models for Building Performance Simulation: Establishing Common Understanding
Authors: Arora Sahil-Jai , Rabe Markus 
Published: March 2023

AbstractIn the fields of business process modeling, logistics, and information model development, Reference Models (RMs) have shown to enhance standardization, support the common understanding of terminology and procedures, reduce the modeling efforts and cost through the paradigm “Design by Reuse”, and enable knowledge transfer. Utilizing RMs in Building Performance Simulation (BPS) shows potential to achieve similar benefits. However, there is no universally agreed understanding of RMs. In a previous scientific publication, we provided a comprehensive overview of the diversely interpreted definitions, benefits, and attributes of RMs and related terms. Additionally, to transfer the approach of RMs to BPS, a definition for RMs applicable to BPS has been provided, and the identified RM qualities were matched with BPS’s challenges. However, a sound evaluation of the success of transferring RMs to BPS is lacking. Therefore, this scientific contribution firstly includes the analysis conducted in the previous scientific contribution constituting a common understanding about RMs and their elements for BPS. Secondly, by conducting expert interviews, the applicability and validity of the developed concept of RMs for BPS are surveyed. In total, ten experts (seven BPS experts and three RM experts) evaluated the quality of creating transparency about the understanding of RMs and the level of success of their transfer toward BPS. The experts consistently see a great benefit of RMs in BPS, but for BPS experts the transfer and possible application of RMs in BPS is not sufficiently clear. Accordingly, the key output of the conducted survey is that a clearer and more detailed application example, e.g., describing at a more easy-to-understand level of detail an exemplary class of the provided example of an RM, is required for a more profound transfer of RMs to BPS.
The metric-valued Lebesgue differentiation theorem in measure spaces and its applications
Authors: Lučić Danka , Pasqualetto Enrico 
Published: March 2023

AbstractWe prove a version of the Lebesgue differentiation theorem for mappings that are defined on a measure space and take values into a metric space, with respect to the differentiation basis induced by a von Neumann lifting. As a consequence, we obtain a lifting theorem for the space of sections of a measurable Banach bundle and a disintegration theorem for vector measures whose target is a Banach space with the Radon–Nikodým property.
Quality Tolerance Limits’ Place in the Quality Management System and Link to the Statistical Trial Design: Case Studies and Recommendations from Early Adopters
Authors: Wolfs Marion , Bojarski Łukasz , Young Steve , Cesario Lynne , Makowski Marcin , Sullivan Linda B. 
Published: March 2023

AbstractSince the release of ICH E6(R2), multiple efforts have been made to interpret the requirements and suggest ways of implementing quality tolerance limits (QTLs) alongside existing risk-based quality management methodologies. While these efforts have contributed positively to developing a common understanding of QTLs, some uncertainty remains regarding implementable approaches. In this article, we review the approaches taken by some leading biopharmaceutical companies, offering recommendations for how to make QTLs most effective, what makes them ineffective, and several case studies to illustrate these concepts. This includes how best to choose QTL parameters and thresholds for a given study, how to differentiate QTLs from key risk indicators, and how QTLs relate to critical-to-quality factors and the statistical design of the trials.
Facilitators and Barriers to the Implementation of BETTER WISE, a Chronic Disease and Prevention Intervention in Canada: A Qualitative Study
Authors: Sopcak Nicolette , Fernandes Carolina , Ofosu Daniel , Wong Melanie , Khalil Ielaf , Wong Tracy , Manca Donna Patricia 
Published: March 2023

AbstractThe aim of the BETTER WISE intervention is to address cancer and chronic disease prevention and screening (CCDPS) and lifestyle risks in patients aged 40–65. The purpose of this qualitative study is to better understand facilitators and barriers to the implementation of the intervention. Patients were invited for a 1-h visit with a prevention practitioner (PP), a member of a primary care team, with specific skills in prevention, screening, and cancer survivorship. We collected and analyzed data from 48 key informant interviews and 17 focus groups conducted with 132 primary care providers and from 585 patient feedback forms. We analyzed all qualitative data using a constant comparative method informed by grounded theory and then employed the Consolidated Framework for Implementation Research (CFIR) in a second round of coding. The following key elements were identified: (1) Intervention characteristics—relative advantage and adaptability; (2) Outer setting—PPs compensating for increased patient needs and decreased resources; (3) Characteristics of individuals—PPs (patients and physicians described PPs as compassionate, knowledgeable, and helpful); (4) Inner setting—network and communication (collaboration and support in teams or lack thereof); and (5) Process—executing the implementation (pandemic-related issues hindered execution, but PPs adapted to challenges). This study identified key elements that facilitated or hindered the implementation of BETTER WISE. Despite the interruption caused by the COVID-19 pandemic, the BETTER WISE intervention continued, driven by the PPs and their strong relationships with their patients, other primary care providers, and the BETTER WISE team.
Creation and validation of the anti-racism efficacy measure: factor analysis and measurement invariance
Authors: Eschmann Rob , Thompson Julian G. , Harbaugh Allen G. , Copeland Phillipe 
Published: March 2023

AbstractThis study develops and validates the Anti-Racism Efficacy Scale (A-RES), a 4-item measure that examines (1) competence, or self-rated ability to challenge racism and (2) impact, the degree to which an individual believes they may create change in working against racism. Drawing on a sample of 1322 college students, including 26.6% White, 20.6% Black, 17.1% Latinx, 25.3% Asian or Pacific Islander, 1.2% American Indian, and 9.3% indicating either nothing, other or more than one racial grouping, we test for measurement invariance, conduct a factor analysis, and use ANOVA to compare factor scores by racial grouping. Past literature on antiracism has either not focused explicitly on efficacy, or has not developed means to measure it. The A-RES scale assesses the extent to which individuals feel they are capable of exerting some impact on racism in society.
Circular Economy Research in the COVID-19 Era: a Review and the Road Ahead
Authors: Rejeb Abderahman , Rejeb Karim , Appolloni Andrea , Treiblmaier Horst , Iranmanesh Mohammad 
Published: March 2023

AbstractThe onset of the Coronavirus Disease 2019 (COVID-19) pandemic has resulted in a major crisis that has severely impacted numerous economic, environmental, and social aspects of human life. During the pandemic, the potential of the circular economy (CE) has gained increasing attention as a prospective remedy for numerous sustainability problems. This systematic literature review charts CE research in the COVID-19 era. To this end, 160 journal articles were selected from the Scopus database. The performance indicators of the literature were determined and described through a bibliometric analysis. Moreover, the conceptual structure of CE research was identified via a keyword co-occurrence network. Based on bibliographic coupling, the focus of CE research in the COVID-19 era revolves mainly around five thematic areas, including: (1) waste management; (2) digitalization and sustainable supply chain management; (3) the impact of COVID-19 on food systems; (4) sustainable development goals, smart cities, and bioeconomy; and (5) closed-loop supply chains. Overall, this review contributes to enriching the literature by determining the main thematic areas and future research directions that can help to advance the transition to the CE and reduce the impact of COVID-19 and similar disasters in the future.
Could global norms enable definition of sustainable farming systems in a transformative international trade system?
Authors: Giger Markus , Musselli Irene 
Published: March 2023

AbstractThis paper aims to support differentiation between sustainable and unsustainable agricultural production, with a view to enabling a transformative agricultural trade system by incentivizing sustainable agricultural production. We argue that transformative governance of corresponding global trade flows will need to provide support to the weaker participants in production systems, above all small-scale farmers in the global South, in order to support their food security and a path out of poverty as well as global environmental goals. The present article seeks to provide an overview of internationally agreed norms that can serve as basis for differentiation between sustainable and unsustainable agricultural systems. Such common objectives and benchmarks could then be used in multilateral and binational trade agreements. We propose a list of objectives, criteria, and benchmarks that could contribute to formulation of new trade agreements that strengthen producers who are currently marginalized in international trade flows. While acknowledging that sustainability cannot be easily measured and defined for all site-specific conditions, we posit that it is nevertheless possible to identify such common objectives and benchmarks, based on internationally agreed norms.
Hidden Genetic Regulation of Human Complex Traits via Brain Isoforms
Authors: Pan Lu , Zheng Chenqing , Yang Zhijian , Pawitan Yudi , Vu Trung Nghia , Shen Xia 
Published: March 2023

AbstractAlternative splicing exists in most multi-exonic genes, and exploring these complex alternative splicing events and their resultant isoform expressions is essential. However, it has become conventional that RNA sequencing results have often been summarized into gene-level expression counts mainly due to the multiple ambiguous mapping of reads at highly similar regions. Transcript-level quantification and interpretation are often overlooked, and biological interpretations are often deduced based on combined transcript information at the gene level. Here, for the most variable tissue of alternative splicing, the brain, we estimate isoform expressions in 1,191 samples collected by the Genotype-Tissue Expression (GTEx) Consortium using a powerful method that we previously developed. We perform genome-wide association scans on the isoform ratios per gene and identify isoform-ratio quantitative trait loci (irQTL), which could not be detected by studying gene-level expressions alone. By analyzing the genetic architecture of the irQTL, we show that isoform ratios regulate educational attainment via multiple tissues including the frontal cortex (BA9), cortex, cervical spinal cord, and hippocampus. These tissues are also associated with different neuro-related traits, including Alzheimer’s or dementia, mood swings, sleep duration, alcohol intake, intelligence, anxiety or depression, etc. Mendelian randomization (MR) analysis revealed 1,139 pairs of isoforms and neuro-related traits with plausible causal relationships, showing much stronger causal effects than on general diseases measured in the UK Biobank (UKB). Our results highlight essential transcript-level biomarkers in the human brain for neuro-related complex traits and diseases, which could be missed by merely investigating overall gene expressions.
The rapid competitive economy of machine learning development: a discussion on the social risks and benefits
Authors: Walter Yoshija 
Published: March 2023

AbstractResearch in artificial intelligence (AI) has started in the twentieth century but it was not until 2012 that modern models of artificial neural networks aided the machine learning process considerably so that in the past ten years, both computer vision as well as natural language processing have become increasingly better. AI developments have accelerated rapidly, leaving open questions about the potential benefits and risks of these dynamics and how the latter might be managed. This paper discusses three major risks, all lying in the domain of AI safety engineering: the problem of AI alignment, the problem of AI abuse, and the problem of information control. The discussion goes through a short history of AI development, briefly touching on the benefits and risks, and eventually making the case that the risks might potentially be mitigated through strong collaborations and awareness concerning trustworthy AI. Implications for the (digital) humanities are discussed.
AHHO: Arithmetic Harris Hawks Optimization algorithm for demand side management in smart grids
Authors: Manzoor Awais , Judge Malik Ali , Islam Saif ul , Neggaz Nabil , Abulaigh Laith , Ahmad Ishfaq 
Published: March 2023

AbstractEnergy management strategies are crucial to efficiently scheduling appliances and preventing peak generation due to increased energy demand. It is essential to manage the demand and supply of energy based on the consumer’s consumption patterns using various heuristic optimization techniques. Additionally, the end-user is more concerned with minimizing electricity costs and reducing peak-to-average ratios (PARs). This work proposes an arithmetic Harris hawks optimization (AHHO) as a new approach for improving the Harris hawks algorithm to optimize residential demand response (DR) load management in a smart grid. Our method employs arithmetic and lightweight flight operators based on the Lévy flight distribution to generate diverse design solutions and improve the HHO’s exploration capabilities. We consider 15 smart appliances and categorize them based on how much energy they use, computing the electricity price using real-time pricing (RTP) and critical peak pricing (CPP). While maintaining user satisfaction within operational and power limits, the objective is to decrease energy costs and PAR. We evaluate the effectiveness of our proposed AHHO approach against nine cutting-edge algorithms using both RTP and CPP schemes. The findings demonstrate that our suggested approach performs better than the other algorithms because it achieved cost savings of 42.10% and 30% under RTP and CPP schemes, respectively. Meanwhile, it also reduced PAR by 55.17% and 50% under RTP and CPP schemes, respectively.
DeepDual-SD: Deep Dual Attribute-Aware Embedding for Binary Code Similarity Detection
Authors: Guo Jiabao , Zhao Bo , Liu Hui , Leng Dongdong , An Yang , Shu Gangli 
Published: March 2023

AbstractBinary code similarity detection (BCSD) is a task of detecting similarity of binary functions which are not available to the corresponding source code. It has been widely utilized to facilitate various kinds of crucial security analysis in software engineering. Because of the complexity of the program compilation process, identifying binary code similarity presents tough challenges. The most sensible binary similarity detector relies on a robust vector representation of binary code. However, few BCSD approaches are suitable to form vector representations for analyzing similarities between binaries, which may not only diverge in semantics but also in structures. And the existing solutions which only depend on hands-on feature engineering to form feature vectors, fail to take into consideration the relationships between instructions. To resolve these problems, we propose a novel and unified approach called DeepDual-SD that aims to combine the dual attributes (semantic and structural attribute). More specifically, DeepDual-SD consists of two branches, in which one text-based feature representation is driven by semantic attribute learning to exploit instruction semantics, another graph-based feature representation for structural attribute learning to investigate structural differences. Meanwhile deep embedding (DE) technology is utilized to map this information into low-dimensional vector representation. In addition, to get together the dual attributes, a fusion mechanism based on gate architecture is designed for learning to pay proper attention between the two attribute-aware embeddings. Experimental verifications are conducted on Openssl and Debian datasets for several tasks, including cross-compiler, cross-architecture and cross-version scenarios. The results demonstrate that our method outperforms the state-of-the-art BCSD methods in different scenarios in terms of detection accuracy.
Addiction to medical websites post COVID-19 pandemic: a predictor of illness anxiety disorder among Arabian youth
Authors: Hamid Mohamed S. , Abo Hamza Eid , Rivera Rita M. , Carballea Denise , Mohamed Nagwa Ibrahim A. 
Published: March 2023

Abstract
Background
The coronavirus (COVID-19) pandemic has significantly impacted every region of the world. During these unprecedented times, college students have been experiencing severe mental health issues concerning excessive internet usage. On average, 42.9% of students in Egypt utilized the internet (Anwar et al. in J Public Health 30:1753–1762, 2022). Arabs quickly diagnose themselves online using medical websites. The issue is exacerbated by drugs bought without a prescription (Alghadeer et al. in Saudi Pharm J 26:719–724, 2018).

Methods
This study examined he relationship between addiction to medical websites and behaviors related to Illness Anxiety Disorder among a population of Arabic university students. A sample consisting of N = 368 youths was examined.

Results
Bivariate linear regression, Z score, R2, t-test, ANOVA, mean, and standard deviation were used for statistical analysis. The findings of the study revealed a linear equation that predicts illness anxiety in adolescents. The correlation between medical website addiction and hypochondria was found to be 0.69. Furthermore, male participants were more addicted to medical websites than female participants.

Conclusions
Findings supported the notion that addiction to medical websites significantly predicts hypochondria.
Demonstration and experimental characteristics of a water-vapor Hall thruster
Authors: Shirasu Kento , Kuwabara Hiroki , Matsuura Masayuki , Koizumi Hiroyuki , Nakagawa Yuichi , Watanabe Hiroki , Sekine Hokuto , Komurasaki Kimiya 
Published: March 2023

AbstractWater is an attractive candidate for condensable propellants owing to its availability, handleability, and sustainability. This study proposes the use of water vapor as a propellant for a low-power Hall thruster, and experimentally demonstrates the feasibility of this proposal. Based on the performance estimation from the plume diagnostics, a thrust-to-power ratio of 19 mN/kW, specific impulse of 550–860 s, and anode efficiency of 5–8 % were obtained at an anode power of 233–358 W. From further efficiency analysis, the mass utilization efficiency of water was found to be the most deteriorated among the internal efficiencies compared to the conventional xenon propellant, which was consistent with the expectations from a small discharge current oscillation, large beam divergence, and increase in low-energy ions. Moreover, additional power loss via reactions unique to polyatomic molecules was indicated by evaluation of the ionization cost. In this experiment, the mass utilization efficiency was improved with an increase in the anode voltage from 200 to 240 V without degradation of the power utilization. This suggests that operating at a higher voltage is more suitable for a water-vapor Hall thruster.