bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient and Accurate Separable Models for Discretized Material Optimization: A Continuous Perspective Based on Topological Derivatives
Authors: Gangl Peter , Nees Nico , Stingl Michael 
Published: April 2024

AbstractMulti-material design optimization problems can, after discretization, be solved by the iterative solution of simpler sub-problems which approximate the original problem at an expansion point to first order. In particular, models constructed from convex separable first order approximations have a long and successful tradition in the design optimization community and have led to powerful optimization tools like the prominently used method of moving asymptotes (MMA). In this paper, we introduce several new separable approximations to a model problem and examine them in terms of accuracy and fast evaluation. The models can, in general, be nonconvex and are based on the Sherman–Morrison–Woodbury matrix identity on the one hand, and on the mathematical concept of topological derivatives on the other hand. We show a surprising relation between two models originating from these two—at a first sight—very different concepts. Numerical experiments show a high level of accuracy for two of our proposed models while also their evaluation can be performed efficiently once enough data has been precomputed in an offline stage. Additionally it is demonstrated that suboptimal decisions can be avoided using our most accurate models.
How does water stress affect the bioaccumulation of galanthamine and lycorine, growth performance, phenolic content and defense enzyme activities in summer snowflake (Leucojum aestivum L.)?
Authors: Baba Yavuz , Cimen Ayca , Birinci Yildirim Arzu , Ucar Turker Arzu 
Published: April 2024

AbstractLeucojum aestivum L. is an Amaryllidaceae bulbous plant with two alkaloids that have remarkable medicinal potential: galanthamine and lycorine. Although the presence of galanthamine in L. aestivum has commercial value for the pharmaceutical industry and the effect of water stress (WS) applications on secondary metabolite enhancement is well established in a variety of plants, no studies have been carried out to reveal the effectiveness of WS on this beneficial medicinal plant. Objective of the study was to investigate the effects of eight different WS treatments [Control, waterlogging (WL) condition, and drought stress conditions (water deficiency generated by water deficit irrigation-WDI 25%, 50%, and 75%- and polyethylene glycol-PEG 6000 15%, 30%, and 45%-)] on growth parameters, alkaloid levels (galanthamine and lycorine), non-enzymatic antioxidant activities (total phenol-flavonoid content and free radical scavenging activity), and enzymatic antioxidant activities [superoxide dismutase (SOD) and catalase (CAT)] of L. aestivum in a pot experiment. Based on the findings, maximum increases in growth parameters were obtained with PEG-induced WS treatments. Moderate water deficiency (50% WDI) produced the highest levels of galanthamine and lycorine, total phenol-flavonoid content, and antioxidant capacity, along with moderately elevated CAT activity in the bulbs. All WS treatments resulted in increased CAT activity in the bulbs. It was observed that bulbs had higher SOD and CAT activities under WL conditions had lower fresh weights and were close to control in terms of alkaloid levels, total phenol-flavonoid content, and free radical scavenging activity. When all of the outcomes were taken into account, it can be concluded that moderate water-deficit stress (50% WDI) was regarded as the most effective treatment for increasing the pharmaceutical value of L. aestivum.
Graphical abstract
Textual sentiment analysis and description characteristics in crowdfunding success: The case of cybersecurity and IoT industries
Authors: Yosipof Abraham , Drori Netanel , Elroy Or , Pierraki Yannis 
Published: April 2024

AbstractCrowdfunding platforms offer entrepreneurs the opportunity to evaluate their technologies, validate their market, and raise funding. Such platforms also provide technologies with an opportunity to rapidly transition from research to market, which is especially crucial in fast-changing industries. In this study, we investigated how the sentiments expressed in the text of the project campaigns and project characteristics influence the success of crowdfunding in innovative industries such as cybersecurity and the Internet of Things (IoT). We examined 657 cybersecurity and Internet of Things (IoT) projects between 2010 and 2020 that were promoted on Kickstarter and IndieGoGo, two rewards-based crowdfunding platforms. We extracted technological topic attributes that may influence project success and measured the sentiments of project descriptions using a Valence Aware Dictionary and sEntiment Reasoner (VADER) model. We found that the sentiment of the description and the textual topic characteristics are associated with the success of funding campaigns for cybersecurity and IoT projects.
Loneliness, Methamphetamine Use, and Cardiovascular Risk Factors Among Sexual Minority Men in the COVID-19 Era
Authors: Ross Emily J. , Jimenez Daniel E. , Ghanooni Delaram , Mendez Armando , Hirshfield Sabina , Horvath Keith J. , DeVries Britt , Dilworth Samantha E. , Carrico Adam W. , Martinez Claudia A. 
Published: April 2024

Abstract
Background
Important gaps exist in our understanding of loneliness and biobehavioral outcomes among sexual minority men (SMM), such as faster HIV disease progression. At the same time, SMM who use methamphetamine are approximately one-third more likely than non-users to develop cardiovascular disease. This study examined associations of loneliness, stimulant use, and cardiovascular risk in SMM with and without HIV.

Method
Participants were enrolled from August 2020 to February 2022 in a 6-month prospective cohort study. The study leveraged self-report baseline data from 103 SMM, with a subset of 56 SMM that provided a blood sample to measure markers of cardiovascular risk.

Results
Loneliness showed negative bivariate associations with total cholesterol and LDL cholesterol in the cardiometabolic subsample (n = 56). SMM with methamphetamine use (t(101) = 2.03, p < .05; d = .42) and those that screened positive for a stimulant use disorder (t(101) = 2.07, p < .05; d = .46) had significantly higher mean loneliness scores. In linear regression analyses, negative associations of loneliness with LDL and total cholesterol were observed only among SMM who used methamphetamine.

Conclusion
We observed lower cholesterol in SMM reporting loneliness and methamphetamine use. Thus, in addition to the observed associations of loneliness with cholesterol, there are important medical consequences of methamphetamine use including cardiovascular risk, higher HIV acquisition risk and progression, as well as stimulant overdose death. This cross-sectional study underscores the need for clinical research to develop and test interventions targeting loneliness among SMM with stimulant use disorders.
The Bayesian Group-Sequential Predictive Evidence Value Design for Phase II Clinical Trials with Binary Endpoints
Authors: Kelter Riko , Schnurr Alexander 
Published: April 2024

AbstractIn clinical research, the initial efficacy of a new agent is typically assessed in a phase IIA study. Bayesian group-sequential designs are often based on predictive probability of trial success. In this paper, the novel Bayesian group-sequential predictive evidence value design is introduced, and we prove that the predictive probability approach is a special case of it. A comparison with Simon’s two-stage and competing Bayesian designs based on phase IIA cancer trials is provided. Results show that the novel design can improve operating characteristics such as the false-positive rate, probability of early stopping for futility and expected sample size of the trial. Given these advantages, the predictive evidence value design constitutes an important addition to the biostatistician’s toolbelt when planning a phase IIA trial the Bayesian way, in particular, when small sample sizes and a large probability for early termination under the null hypothesis are desired.
Terminological discrepancies and novelties in the histological description of the female genital system: proposed amendments for clinical-translational anatomy
Authors: Varga Ivan , Hammer Niels , Pavlíková Lada , Poilliot Amelie , Klein Martin , Mikušová Renáta 
Published: April 2024

AbstractHistological terminology of the female genital organs is currently a part of the internationally accepted nomenclature Terminologia Histologica (TH), the latest edition of which dates back to 2008. Many new discoveries have been documented within 16 years since then, and many discrepancies have been found. This paper aims to revise the terminology from clinical and educational perspectives comprehensively. The authors thoroughly searched the current edition of “Terminologia Histologica: International Terms for Human Cytology and Histology,” focusing on missing and controversial terms in the chapter Female genital system. The authors identified six controversial and ambiguous terms and four missing important histological terms. The authors also discussed the addition of less used eponymic terms in the histological description of female genital organs like Hamperl cells, Popescu cells, Kroemer lacunae, Balbiani bodies, Call–Exner bodies, membrane of Slavianski, nabothian cysts, or anogenital sweat glands of van der Putte. We expect the second and revised edition of the TH to be published soon and hope that the Federative International Program on Anatomical Terminology will approve and incorporate all these propositions and suggestions. We also strongly recommend using the official internationally accepted Latin and English histological nomenclature—the TH, either in oral or written form, both in theoretical and clinical medicine.
Structure and optical properties of Si thin film improved by metal Cd nanolayers
Authors: Rabiea E. A. , AboGhazala M. S. , Zadia M. M. 
Published: April 2024

AbstractEnhancing the characteristics of amorphous semiconductor thin films is imperative for a multitude of applications. The present study examines the impact of Cd nanolayers deposited on a thin film of amorphous Si. The X-ray test showed that the thin silicon film had less of an amorphous structure after a nanolayer of cadmium was added. There has also been the appearance of new phases, and as the thickness of the Cd nanolayer increases, so does the intensity of these phases. Using a field emission scanning electron microscope, it was seen that nanoparticles were developed and subsequently transformed into clusters as the thickness of the Cd nanolayer grew. The absorbance was maximized at 750 nm and near-infrared region after depositing Cd nanolayers, while transmittance was reduced, especially at 100 nm thicknesses. The energy gap was reduced, with a decrease from 5.1 to 1.8 electron volts (eV). However, an increase in the band tails was also noted, rising from 0.7 to 4.9 eV. An increase in the values of the refractive index (n) and extinction coefficient (k) was observed following the deposition of Cd nanolayers of different thicknesses.
A class of models for large zero-inflated spatial data
Authors: Lee Ben Seiyon , Haran Murali 
Published: April 2024

AbstractSpatially correlated data with an excess of zeros, usually referred to as zero-inflated spatial data, arise in many disciplines. Examples include count data, for instance, abundance (or lack thereof) of animal species and disease counts, as well as semi-continuous data like observed precipitation. Spatial two-part models are a flexible class of models for such data. Fitting two-part models can be computationally expensive for large data due to high-dimensional dependent latent variables, costly matrix operations, and slow mixing Markov chains. We describe a flexible, computationally efficient approach for modeling large zero-inflated spatial data using the projection-based intrinsic conditional autoregression (PICAR) framework. We study our approach, which we call PICAR-Z, through extensive simulation studies and two environmental data sets. Our results suggest that PICAR-Z provides accurate predictions while remaining computationally efficient. An important goal of our work is to allow researchers who are not experts in computation to easily build computationally efficient extensions to zero-inflated spatial models; this also allows for a more thorough exploration of modeling choices in two-part models than was previously possible. We show that PICAR-Z is easy to implement and extend in popular probabilistic programming languages such as and .
Micro-macro modeling of tensile behavior of a friction stir welded hybrid joint of AlSi10Mg parts produced by powder bed fusion and casting
Authors: Nammalvar Raja Rajan Aravindh , Krochmal Marcel , Wegener Thomas , Hartmaier Alexander , Niendorf Thomas , Moeini Ghazal 
Published: April 2024

AbstractAdditive manufacturing (AM) has gained considerable interest due to its ability to produce lightweight parts with hierarchical microstructures. However, the current constraints on the build chamber size in powder-bed fusion type AM processes limit its industrial application. A hybrid welded joint, consisting of an AM-processed and a conventionally manufactured part, can be employed to produce larger components. Due to the varying processing conditions, these hybrid welded joints contain a wide range of microstructural heterogeneities, which influences the mechanical properties of the joint. Using a numerical model to predict the mechanical behavior of welded joints by considering the microstructural variations is essential for the safe and reliable implementation of hybrid welded joints. This study aims to predict the local tensile behavior of each region of a hybrid friction-stir welded joint of AlSi10Mg produced by laser-based powder bed fusion and casting using a microstructure-sensitive model as well as the global tensile behavior by considering the properties of each region using a joint macroscopic model. The results from this modeling approach agree well with the experimental results. Therefore, this method can predict the mechanical behavior of hybrid welded joints and can establish the structure–property relationship in each weld region.
The Use of Nonmonetary Outcomes in Health-Related Delay Discounting Research: Review and Recommendations
Authors: Rasmussen Erin B. , Camp Lillith , Lawyer Steven R. 
Published: April 2024

AbstractDelay discounting (DD) refers to the tendency to devalue an outcome as a function of its delay. Most contemporary human DD research uses hypothetical money to assess individual rates of DD. However, nonmonetary outcomes such as food, substances of misuse, and sexual outcomes have been used as well, and have advantages because of their connections to health. This article reviews the literature on the use of nonmonetary outcomes of food, drugs, and sexual outcomes in relation to health and reinforcer pathologies such as substance use disorders, obesity, and sexual risk behaviors, respectively, and makes a case for their use in discounting research. First, food, substances, and sex may be more ecologically valid outcomes than money in terms of their connections to health problems and reinforcer pathologies. Second, consistent trends in commodity-specific (i.e., domain) effects, in which nonmonetary outcomes are discounted more steeply than money, enhance variation in discounting values. Third, commodity-specific changes in discounting with treatments designed to change health choices are described. Finally, methodological trends such as test–retest reliability, magnitude effects, the use of hypothetical versus real outcomes, and age-related effects are discussed in relation to the three outcome types and compared to trends with monetary discounting. Limitations that center around individual preferences, nonsystematic data, and deprivation are discussed. We argue that researchers can enhance their DD research, especially those related to health problems and reinforcer pathologies, with the use of nonmonetary outcomes. Recommendations for future directions of research are delineated.
Improved overall survival in patients developing endocrine toxicity during treatment with nivolumab for advanced non-small cell lung cancer in a prospective study
Authors: Albertelli M. , Rossi G. , Nazzari E. , Genova C. , Biello F. , Rijavec E. , Dal Bello M. G. , Patti L. , Tagliamento M. , Barletta G. , Morabito P. , Boschetti M. , Dotto A. , Campana D. , Ferone D. , Grossi F. 
Published: April 2024

Abstract
Purpose
Immune checkpoint inhibitors (ICPIs) disrupting PD-1/PD-L1 axis have revolutionized the management of advanced non-small cell lung cancer (NSCLC). Some studies identified the development of endocrine toxicity as predictor of better survival in cancer patients treated with ICPIs. The aim of study was to evaluate survival and new onset of immune-related endocrine adverse events (irAEs) in patients treated with nivolumab for advanced NSCLC.

Methods
In a prospective study, 73 patients with previously treated advanced NSCLC received nivolumab in monotherapy. Blood samples were collected at each cycle to monitor thyroid autoimmunity, thyroid, adrenal and somatotroph axes, while thyroid morphology was evaluated by ultrasonography.

Results
An impaired thyroid function was recorded in 23.4% of patients (n = 15). Eight patients developed asymptomatic transient thyrotoxicosis (ATT) evolving to hypothyroidism in 50% of cases. In addition, seven patients developed overt hypothyroidism without ATT and with negative autoantibodies. Patients who developed hypothyroidism proved to have better overall survival (OS) as compared with non-developers at both univariate (p = 0.021) and multivariate analyses (p = 0.023). The survival curve of patients with reduced IGF-I at baseline, or displaying its reduction during the follow-up, showed significantly reduced median survival compared to patients with normal/high IGF-I levels (p = 0.031).

Conclusions
Thyroid function abnormalities are the major irAEs in patients treated with nivolumab, and hypothyroidism onset is associated with prolonged survival. Our findings indicate that the development of hypothyroidism is a positive predictive biomarker of nivolumab antitumor efficacy in patients with NSCLC. Low IGF-I levels could represent a negative prognostic factor during nivolumab therapy.
Advanced Digital Technologies in Unionized Firms
Authors: Berton Fabio , Dughera Stefano , Ricci Andrea 
Published: April 2024

AbstractThis work examines how workplace employee organizations causally affect the adoption of advanced digital technologies in Italy. It does so by using information from the survey “Rilevazione Imprese e Lavoro” conducted by the National Institute for Public Policy Analysis on a nationally representative sample of Italian firms in the non-agricultural private sector in 2018. It shows that workplace employee organizations increase the probability of advanced digitalization by around 15 percentage points per year, and the number of different technologies adopted by 0.41. The empirical strategy follows an IV approach that eliminates simultaneity bias and builds upon a lagged internal instrument combined with a NUTS-3 measure of altruism—namely, per capita blood donations. Results survive when cybersecurity is excluded from the analysis and prove robust when the internal instrument is left alone, combined with an index of tolerance or with propensity score matching.
Challenging Externalization by Means of Article 4 ECHR: Towards New Avenues of Litigation for Victims of Human Trafficking?
Authors: Tammone Francesca 
Published: April 2024

AbstractThe externalization of migration control undermines the protection of victims of trafficking in human beings. Pushbacks and pullbacks at sea, as well as simplified or accelerated identification procedures, exacerbate the risk of trafficking and retrafficking and prevent victims from accessing the protection to which they may be entitled in European States. In this scenario, the European Court of Human Rights can play a crucial role among international bodies and courts in ensuring effective remedies for victims in case of repatriation to their countries of origin and transit. This study examines the applicability of the prohibition of slavery, servitude and forced labour enshrined in Article 4 of the European Convention on Human Rights—whose scope now undisputedly includes trafficking in human beings—in the context of the externalization of migration control. It demonstrates that litigating unlawful refoulements under Article 4 ECHR might be very worthwhile to raise awareness of migration-related risks for victims, to strengthen the legal framework of positive obligations in trafficking cases, and to ascertain violations of anti-trafficking international obligations by European States.
The Global ESG Stewardship Ecosystem
Authors: Bowley Tim , Hill Jennifer G. 
Published: April 2024

AbstractInstitutional investors are increasingly pushing their investee companies to address environmental, social and governance (ESG) issues—a phenomenon commonly called ESG stewardship. Scholars have put forward various reasons for investors’ enthusiasm for ESG stewardship. They include the financial materiality of ESG issues, a desire to appeal to ESG-conscious customers, and the scope for fund operators to charge higher fees for funds that pursue ESG strategies. There is, however, another critical factor at play. ESG stewardship is also underpinned by a transnational development—what this article calls the ‘global ESG stewardship ecosystem’. This global ecosystem is comprised of various ESG-focused actors, including United Nations agencies, institutional investors, investor networks, service providers to institutional investors, and NGOs and activist organizations. These actors operate in a highly networked manner at the transnational level to develop and disseminate norms of ESG stewardship throughout global markets, and encourage and coordinate investors’ ESG stewardship activities on the ground. This article highlights the scale, complexity and influence of the global ESG stewardship ecosystem, revealing it to be a significant facilitator of institutional investors’ ESG stewardship. This insight calls into question important contemporary assumptions and theories about institutional investors, including claims that they are ‘rationally reticent’, under-invest in corporate governance activities, and are incapable of overcoming collective action challenges. The global ESG stewardship ecosystem is also a remarkable example of the transnational influences shaping contemporary corporate governance. The ecosystem underpins the development and dissemination of norms of ESG stewardship and also assists institutional investors to undertake ESG stewardship ‘on the ground’ in the various markets in which they operate. The transnational influence of the ecosystem has important implications for national law makers and regulators who are focused on ESG investing and investor participation in public company corporate governance.