bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surrogate-assisted Multi-objective Optimization via Genetic Programming Based Symbolic Regression
Authors: Yang Kaifeng , Affenzeller Michael 
Published: March 2023

AbstractSurrogate-assisted optimization algorithms are a commonly used technique to solve expensive-evaluation problems, in which a regression model is built to replace an expensive function. In some acquisition functions, the only requirement for a regression model is the predictions. However, some other acquisition functions also require a regression model to estimate the “uncertainty” of the prediction, instead of merely providing predictions. Unfortunately, very few statistical modeling techniques can achieve this, such as Kriging/Gaussian processes, and recently proposed genetic programming-based (GP-based) symbolic regression with Kriging (GP2). Another method is to use a bootstrapping technique in GP-based symbolic regression to estimate prediction and its corresponding uncertainty. This paper proposes to use GP-based symbolic regression and its variants to solve multi-objective optimization problems (MOPs), which are under the framework of a surrogate-assisted multi-objective optimization algorithm (SMOA). Kriging and random forest are also compared with GP-based symbolic regression and GP2. Experiment results demonstrate that the surrogate models using the GP2 strategy can improve SMOA’s performance.
The Prism-Net Search Space Representation for Multi-objective Building Spatial Design
Authors: Pereverdieva Ksenia , Emmerich Michael , Deutz André , Ezendam Tessa , Bäck Thomas , Hofmeyer Hèrm 
Published: March 2023

AbstractA building spatial design (BSD) determines external and internal walls and ceilings of a building. The design space has a hierarchical structure, in which decisions on the existence or non-existence of spatial components determine the existence of variables related to these spaces, such as sizing and angles. In the optimization of BSDs it is envisioned to optimize various performance indicators from multiple disciplines in concert, such as structural, functional, thermal, and daylight performance. Existing representations of design spaces suffer from severe limitations, such as only representing orthogonal designs or representing the structures in parametric superstructure, allowing only for limited design variations. This paper proposes prism nets - a new way of representing the search space of BSDs based on triangulations defining space filling collections of triangular prisms that can be combined via coloring parameters to spaces. Prism nets can accommodate for non-orthogonal designs and are flexible in terms of topological variations. We follow the guidelines for representation and operator design proposed in the framework of metric-based evolutionary algorithms. The main contribution of the paper is a detailed discussion of the search space representation and corresponding mutation operators. Moreover, a proof of concept example demonstrates the integration into multi-objective evolutionary algorithms and provides first results on a simple, but reproducible, benchmark problem.
Ravulizumab pharmacokinetics and pharmacodynamics in patients with generalized myasthenia gravis
Authors: Vu Tuan , Ortiz Stephan , Katsuno Masahisa , Annane Djillali , Mantegazza Renato , Beasley Kathleen N. , Aguzzi Rasha , Howard James F. 
Published: March 2023

Abstract
Introduction
The terminal complement C5 inhibitor ravulizumab has a long elimination half-life, allowing maintenance dosing every 8 weeks. In the 26-week, double-blind, randomized, placebo-controlled period (RCP) of the CHAMPION MG study, ravulizumab provided rapid and sustained efficacy and was well tolerated in adults with anti-acetylcholine receptor antibody-positive (AChR Ab+) generalized myasthenia gravis (gMG). This analysis evaluated the pharmacokinetics (PK), pharmacodynamics (PD), and potential immunogenicity of ravulizumab in adults with AChR Ab+ gMG.

Methods
Data were analyzed from 86 patients who received ravulizumab in the CHAMPION MG RCP. Ravulizumab dosing was weight-based: initial loading dose of 2400/2700/3000 mg on Day 1 and maintenance doses of 3000/3300/3600 mg on Day 15 and then every 8 weeks. PK parameters were estimated from serum ravulizumab concentrations determined pre- and post-dose; PD effects of ravulizumab on serum free C5 concentrations were measured; and immunogenicity was assessed using anti-drug antibody and neutralizing-antibody assays.

Results
Target serum ravulizumab concentrations (> 175 µg/mL) were achieved immediately after the first ravulizumab dose (within 30 min of infusion completion) and maintained throughout the 26-week treatment period irrespective of patient body weight. Following the final maintenance dose, mean Cmax was 1548 µg/mL and Ctrough 587 µg/mL; no meaningful differences were noted among body-weight categories. Inhibition of serum free C5 was immediate, complete (< 0.5 μg/mL), and sustained throughout treatment in all patients. No treatment-emergent anti-drug antibodies were observed.

Conclusions
PK/PD evidence supports the use of ravulizumab every 8 weeks for immediate, complete, and sustained inhibition of terminal complement C5 in adults with AChR Ab+ gMG.

Trial registration
ClinicalTrials.gov ID: NCT03920293 (April 18, 2019).
Significance of CD80 as a Prognostic and Immunotherapeutic Biomarker in Lung Adenocarcinoma
Authors: Feng Wei , He Ziyi , Shi Liang , Zhu Zheng , Ma Haitao 
Published: March 2023

AbstractLung adenocarcinoma (LUAD) is the primary cause of death among pulmonary cancer patients. Upregulation of CD80 may interact with cytotoxic T lymphocyte antigen 4 (CTLA4) to promote tumor progression and provide a potential target for biological antitumor therapy. However, the role of CD80 in LUAD is still unclear. To investigate the function of CD80 in LUAD, we collected transcriptomic data from 594 lung samples from The Cancer Genome Atlas of America (TCGA) database, along with the corresponding clinical information. We systematically explored the role of CD80 in LUAD using bioinformatics methods, including GO enrichment analysis, KEGG pathway analysis, Gene Set Enrichment Analysis (GSEA), co-expression analysis, and the CIBERSORT algorithm. Finally, we investigated the differences between the two subgroups of CD80 expression in terms of some drug sensitivity, using the pRRophetic package to screen small molecular drugs for therapeutic use. A predictive model based on CD80 for LUAD patients was successfully constructed. In addition, we discovered that the CD80-based prediction model was an independent prognostic factor. Co-expression analysis revealed 10 CD80-related genes, including oncogenes and immune-related genes. Functional analysis showed that the differentially expressed genes in patients with high CD80 expression were mainly located in immune-related signaling pathways. CD80 expression was also associated with immune cell infiltration and immune checkpoints. Highly expressing patients were more sensitive to several drugs, such as rapamycin, paclitaxel, crizotinib, and bortezomib. Finally, we found evidence that 15 different small molecular drugs may benefit the treatment of LUAD patients. This study found that elevated CD80 pairs could improve the prognosis of LUAD patients. CD80 is likely to be a potential as a prognostic and therapeutic target. The future use of small molecular drugs in combination with immune checkpoint blockade to enhance antitumor therapy and improve prognosis for LUAD patients is promising.
Comparing Maltreatment Experiences for Young People with Child Protection or Dual System Involvement
Authors: Eastman Andrea Lane , Herz Denise C. , Palmer Lindsey , McCroskey Jacquelyn 
Published: March 2023

AbstractThis study examined how single and multiple types of maltreatment allegations differed for young people with child protective services (CPS) only and dual system (i.e., CPS and juvenile delinquency court petition) involvement by gender and race and ethnicity. Allegation types were documented for young people with CPS only or dual system involvement using linked CPS and Probation records for Los Angeles County for a cohort of children born between 1998 and 2001 with a history of at least one CPS maltreatment investigation between birth and age 18. The CPS only and dual system groups were compared using chi-square tests, and a generalized linear model was constructed to assess the relationship between key variables and dual system involvement. Two thirds of young people with dual system involvement (68.2%) experienced two or more allegation types, compared with less than half of young people with CPS involvement only (46.0%). More than three quarters of girls (77.1%) and Black young people (75.3%) with dual system involvement experienced multiple types of maltreatment. 11% of young people with only CPS involvement experienced sexual abuse with another maltreatment type, compared to 22.7% of young people with dual system involvement and 38.6% of girls with dual system involvement.The findings highlight the complex CPS histories of young people with dual system involvement, especially among girls and Black young people. These findings should facilitate discussion of gender-responsive services for young people with traumatic sexual experiences, given the frequency of sexual abuse allegations among girls with dual system involvement.
Digital transformation initiatives in higher education institutions: A multivocal literature review
Authors: Fernández Antonio , Gómez Beatriz , Binjaku Kleona , Meçe Elinda Kajo 
Published: March 2023

Abstract
Higher Education Institutions (HEIs) are involved in an evolution to a new model of university called digital university. This model implies not only adopting new technologies but also developing an organizational strategic transformation which includes information, processes, human aspects, and more. Because an organization’s digital maturity correlates with the scope of its digital transformation efforts, this study aims to identify digital transformation initiatives (DTI) taken by HEIs, defining the new processes and technologies used to implement them. The main motivation is to have a real and clear vision of how universities are transforming themselves, discovering the most relevant DTI that they have applied and if they are doing it through an integrated plan aligned with a digital strategy, as recommended by experts. We conducted a Multivocal Literature Review, as methodology research, to include both academic and grey literature in the analysis. Main results show that the DTI implemented are primarily focused on providing a quality and competitive education (24% of 184 DTI from 39 different universities analyzed). Emerging technologies most frequently used are advanced analytics (23%), cloud (20%) and artificial intelligence (16% of total DTI). We conclude that HEIs are in the first steps to digital maturity as only 1 in 4 have a digital strategy and 56% have launched isolated DTI that are not integrated in a plan and do not have a high strategic return value to the organization.
Acaricide residues in beeswax. Implications in honey, brood and honeybee
Authors: Albero Beatriz , Miguel Esther , García-Valcárcel Ana I. 
Published: March 2023

AbstractFor beekeeping to be sustainable, the management of colonies for the production of bee products must be economically viable without endangering the lives of bees, and must include acceptable practices such as the treatment of hives with appropriate products. Occasionally, the use of acaricides to treat the hives against varroosis is uncontrolled and can accumulate in the hives, putting the colonies at risk. In this work, a screening of seven acaricides was carried out in different apiaries in Andalusia (Spain). Their distribution in beeswax, brood, honey, and bees from colonies in different surroundings was evaluated at different times. It was found that beeswax was highly contaminated but honey, brood and bees had acceptable levels, below their respective MRL or LD50, after a certain period following varrocide treatments. Acaricides banned for their use against Varroa, such as chlorfenvinphos, cypermethrin and especially acrinathrin, were found in the hives analysed.
SDGs in corporate responsibility reporting: a longitudinal investigation of institutional determinants and financial performance
Authors: Galeazzo Ambra , Miandar Toloue , Carraro Michela 
Published: March 2023

AbstractCompanies play a central role in the achievement of Sustainable Development Goals (SDGs); as such, they face institutional pressures to increase their engagement with SDGs. However, given the complexity of SDGs, it is unclear whether these pressures lead firms to adopt engagement approaches that address a few goals or the whole set of 17, and if that choice has any subsequent effect on financial performance. To shed light on these issues, this research draws on the neo-institutional theory to investigate whether two institutional determinants—industry type and country of origin—affect SDG engagement and whether such engagement improves financial performance. Based on a content analysis and a regression analysis on high-reputation companies (the 100 most sustainable firms in the world) over the period 2017–2020, we find that the institutional pressures associated with industry type and country-of-origin positively impact any engagement approach to SDGs. However, we establish that companies’ financial performance only generally improves when engaging with either the whole set of SDGs or a specific subset of the most frequently cited. This study provides important theoretical and practical contributions that illuminate firms’ institutional and financial rationales for adopting SDGs.
TCM2Vec: a detached feature extraction deep learning approach of traditional Chinese medicine for formula efficacy prediction
Authors: Gao Wanqing , Cheng Ning , Xin Guojiang , Khantong Sommai , Ding Changsong 
Published: March 2023

AbstractIn current era, the intelligent development of traditional Chinese medicine (TCM) has attracted more and more attention. As the main carrier of clinical medication, formulas use synergies of active substances to enhance efficacy and reduce side effects. Related studies show that there is a nonlinear relationship between the efficacy of formulas and herbs. Deep learning is an effective technique for fitting nonlinear relationships. However, it is not good for using deep learning model directly due to ignoring the characteristics of formulas. In this paper, we propose a detached feature extraction approach (TCM2Vec) based on deep learning for better feature extraction and efficacy prediction. We build two detached encoders, one of it uses cross-feature-based unsupervised pre-training model (FMh2v) to extract the relationship features of herbal medicines for initializing, while the other one simulates multi-dimensional characteristics of medicines by normal distribution. Then we integrate relationships and medicinal characteristics for deep feature extraction. We processed 31,114 unlabeled formulas for pre-training and two classification tasks in-domain for predicting and fine-tuning. One of tasks is multi-classed with 1036 formulas, other one is multi-labelled with 1,723 formulas. For labelled formulas, different feature extraction models based on detached encoder are trained to predict efficacy. Compared with the no pre-training, CBOW and BERT baseline models, FMh2v leads to performance gains. Moreover, the detached encoder offers large positive effects in different models which for efficacy prediction, where ACC increased by 5.80% on average and F1 increased by 12.06% on average. Overall, the proposed feature extraction is an effective method for obtaining characteristic representation of TCM formulas, and provides reference for the adaptability of artificial intelligence technology in the domain of TCM.
Application of decomposition techniques in a wildfire suppression optimization model
Authors: Rodríguez-Veiga Jorge , Penas David R. , González-Rueda Ángel M. , Ginzo-Villamayor María José 
Published: March 2023

AbstractResource assignment and scheduling models provides an automatic and fast decision support system for wildfire suppression logistics. However, this process generates challenging optimization problems in many real-world cases, and the computational time becomes a critical issue, especially in realistic-size instances. Thus, to overcome that limitation, this work studies and applies a set of decomposition techniques such as augmented Lagrangian, branch and price, and Benders decomposition’s to a wildfire suppression model. Moreover, a reformulation strategy, inspired by Benders’ decomposition, is also introduced and demonstrated. Finally, a numerical study comparing the behavior of the proposals using different problem sizes is conducted.
From Learner-Centered Education (LCE) to Emancipatory Learner-Centered Education (ELCE): A comparative case study of language education for adult migrants in four European countries
Authors: Gravani Maria N. , Slade Bonnie , Brown Maria , Jõgi Larissa , Borg Carmel 
Published: March 2023

AbstractThis article discusses the findings of qualitative case-study research that looks at pedagogical contexts of adult education programs for migrants in Cyprus, Scotland, Malta, and Estonia. The goal of this research is to understand how Learner-Centered Education (LCE) is promoted within a human-rights framework and implemented as an approach to emancipatory social change. The findings show significant discrepancies in the implementation of LCE. Differences emerged between educational interventions that influence the language-learning and assimilation-integration processes of adults with migrant backgrounds. Informed by these findings, this article builds a case for Emancipatory Learner-Centered Education (ELCE)—a pedagogical approach that goes beyond course adaptations, to engage migrants in consciousness-raising and confidence-building, while fostering communal action between migrants and adult educators.
Nikolai I. Zhinkin: Form of mythical consciousness
Authors: Zhinkin Nikolai I. , Plotnikov Nikolaj 
Published: March 2023

AbstractNikolai Zhinkin’s review of Ernst Cassirer is so far the earliest document of the discussion in Russia about Cassirer’s conception of myth and his theory of symbolic forms. The text is published from Zhinkin’s archive. Zhinkin here notes a reorientation of Neo-Kantianism that reveals its hidden relativism and stands as a symptom of its downfall.
A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System
Authors: Gao Bolin , Wan Keke , Chen Qien , Wang Zhou , Li Rui , Jiang Yu , Mei Run , Luo Yinghui , Li Keqiang 
Published: March 2023

AbstractWith the application of mobile communication technology in the automotive industry, intelligent connected vehicles equipped with communication and sensing devices have been rapidly promoted. The road and traffic information perceived by intelligent vehicles has important potential application value, especially for improving the energy-saving and safe-driving of vehicles as well as the efficient operation of traffic. Therefore, a type of vehicle control technology called predictive cruise control (PCC) has become a hot research topic. It fully taps the perceived or predicted environmental information to carry out predictive cruise control of vehicles and improves the comprehensive performance of the vehicle-road system. Most existing reviews focus on the economical driving of vehicles, but few scholars have conducted a comprehensive survey of PCC from theory to the status quo. In this paper, the methods and advances of PCC technologies are reviewed comprehensively by investigating the global literature, and typical applications under a cloud control system (CCS) are proposed. Firstly, the methodology of PCC is generally introduced. Then according to typical scenarios, the PCC-related research is deeply surveyed, including freeway and urban traffic scenarios involving traditional vehicles, new energy vehicles, intelligent vehicles, and multi-vehicle platoons. Finally, the general architecture and three typical applications of the cloud control system (CCS) on PCC are briefly introduced, and the prospect and future trends of PCC are proposed.
Reciprocal associations between parenthood and mental well-being – a prospective analysis from age 16 to 52 years
Authors: Grundström Jenna , Kiviruusu Olli , Konttinen Hanna , Berg Noora 
Published: March 2023

Abstract
Objective
The present study examines the bidirectional nature of the associations between parenthood and mental well-being using 36-year longitudinal data.

Background
Mental well-being can affect if and when one becomes a parent (selection hypothesis), and the characteristics of parenthood can affect mental well-being (causation hypothesis). However, life course research has infrequently studied these hypotheses in parallel. Previous studies have also typically only focused on one aspect of parenthood (e.g., having children) and on the negative aspects of the mental well-being construct.

Method
The participants in the Finnish ‘Stress, Development and Mental Health (TAM)’ cohort study were followed up at ages 16, 22, 32, 42, and 52 (N = 1160). The measures of parenthood (having children, timing of parenthood, and number of children) and mental well-being at ages 16 and 52 (depressive symptoms, self-esteem, and meaningfulness) were based on self-report.

Results
For men, higher self-esteem in adolescence was associated with having children, and having children was associated with higher self-esteem in middle age. For women, depressive symptoms at age 16 were associated with becoming a parent at age 24 or younger. For both genders, having children was associated with a higher sense of meaningfulness in middle age.

Conclusion
Studied within the life course perspective, our results indicate that parenthood has a positive effect on mental well-being in mid-adulthood even when accounting for selection effects.