bluuebunny/crossref_metadata_2025_split huggingface dataset:
A phase 3, randomized, double-blind, multicenter, placebo-controlled study of S-588410, a five-peptide cancer vaccine as an adjuvant therapy after curative resection in patients with esophageal squamous cell carcinoma
Authors: Makino Tomoki , Miyata Hiroshi , Yasuda Takushi , Kitagawa Yuko , Muro Kei , Park Jae-Hyun , Hikichi Tetsuro , Hasegawa Takahiro , Igarashi Kenji , Iguchi Motofumi , Masaoka Yasuhide , Yano Masahiko , Doki Yuichiro 
Published: July 2024

Abstract
Background
S-588410, a cancer peptide vaccine (CPV), comprises five HLA-A*24:02-restricted peptides from five cancer-testis antigens. In a phase 2 study, S-588410 was well-tolerated and exhibited antitumor efficacy in patients with urothelial cancer. Therefore, we aimed to evaluate the efficacy, immune response, and safety of S-588410 in patients with completely resected esophageal squamous cell carcinoma (ESCC).

Methods
This phase 3 study involved patients with HLA-A*24:02-positive and lymph node metastasis-positive ESCC who received neoadjuvant therapy followed by curative resection. After randomization, patients were administered S-588410 and placebo (both emulsified with Montanide™ ISA 51VG) subcutaneously. The primary endpoint was relapse-free survival (RFS). The secondary endpoints were overall survival (OS), cytotoxic T-lymphocyte (CTL) induction, and safety. Statistical significance was tested using the one-sided weighted log-rank test with the Fleming–Harrington class of weights.

Results
A total of 276 patients were randomized (N = 138/group). The median RFS was 84.3 and 84.1 weeks in the S-588410 and placebo groups, respectively (P = 0.8156), whereas the median OS was 236.3 weeks and not reached, respectively (P = 0.6533). CTL induction was observed in 132/134 (98.5%) patients who received S-588410 within 12 weeks. Injection site reactions (137/140 patients [97.9%]) were the most frequent treatment-emergent adverse events in the S-588410 group. Prolonged survival was observed in S-588410-treated patients with upper thoracic ESCC, grade 3 injection-site reactions, or high CTL intensity.

Conclusions
S-588410 induced immune response and had acceptable safety but failed to reach the primary endpoint. A high CTL induction rate and intensity may be critical for prolonging survival during future CPV development.
Unveiling Site Visibility: A Study of Farming Communities in the Magaliesberg Region, South Africa
Authors: Siteleki Mncedisi J. 
Published: July 2024

AbstractThis paper explores the historical and contemporary significance of visibility in human interactions with their environments, particularly in the context of archaeology and the application of geographic information systems (GIS) for visibility analysis. The study highlights the role of visibility analysis in investigating not only the physical visibility of features in landscapes but also the cultural significance associated with seeing or not seeing them. It draws from the ‘visibility relates’ principle, which argues that individuals tend to establish connections with visible entities. The focus is on comparing nineteenth-century urban settlements (Kaditshwene, Molokwane, and Marothodi) in the Magaliesberg region of South Africa, particularly examining the strategic positioning of kraals within these Sotho-Tswana farming communities. These settlements are some of the more popular Late Farming Communities (AD 1300–1840) in South Africa; hence, they have archaeological background and are among the few, if not the only ones, that have LiDAR data coverage. The findings reveal distinctions in visibility at both settlement and household scalar levels, with Kaditshwene standing out as different from Marothodi and Molokwane. This suggests that kraals were strategically located to be more or less visible based on specific settlement circumstances, such as attracting people from other communities and concerns about cattle theft. This study contributes to GIS approaches to archaeological sites and landscapes in Africa and calls for more extensive use of geospatial statistics in African archaeology.
Emergent cooperation from mutual acknowledgment exchange in multi-agent reinforcement learning
Authors: Phan Thomy , Sommer Felix , Ritz Fabian , Altmann Philipp , Nüßlein Jonas , Kölle Michael , Belzner Lenz , Linnhoff-Popien Claudia 
Published: July 2024

AbstractPeer incentivization (PI) is a recent approach where all agents learn to reward or penalize each other in a distributed fashion, which often leads to emergent cooperation. Current PI mechanisms implicitly assume a flawless communication channel in order to exchange rewards. These rewards are directly incorporated into the learning process without any chance to respond with feedback. Furthermore, most PI approaches rely on global information, which limits scalability and applicability to real-world scenarios where only local information is accessible. In this paper, we propose Mutual Acknowledgment Token Exchange (MATE), a PI approach defined by a two-phase communication protocol to exchange acknowledgment tokens as incentives to shape individual rewards mutually. All agents condition their token transmissions on the locally estimated quality of their own situations based on environmental rewards and received tokens. MATE is completely decentralized and only requires local communication and information. We evaluate MATE in three social dilemma domains. Our results show that MATE is able to achieve and maintain significantly higher levels of cooperation than previous PI approaches. In addition, we evaluate the robustness of MATE in more realistic scenarios, where agents can deviate from the protocol and communication failures can occur. We also evaluate the sensitivity of MATE w.r.t. the choice of token values.
Childhood Sexual Abuse and Compulsive Sexual Behavior Among Men Who Have Sex with Men Newly Diagnosed with HIV
Authors: Brown Monique J. , Osinubi Medinat Omobola , Amoatika Daniel , Haider Mohammad Rifat , Kirklewski Sally , Wilson Patrick , Hansen Nathan B. 
Published: July 2024

AbstractChildhood sexual abuse (CSA) continues to be a public health challenge. The prevalence of experiencing CSA is higher among men who have sex with men (MSM) than the general population. CSA has been linked to compulsive sexual behavior (CSB) among varying populations but has not been examined among MSM who were newly diagnosed with HIV. Therefore, the aims of this study were to assess the direct association between CSA and CSB among newly diagnosed MSM living with HIV, and to identify the potential mediating roles of depressive symptoms and emotion regulation in the association between CSA and CSB. The study was a secondary data analysis using data obtained from 2012 to 2017 from two community HIV clinics in New York City (n = 202). CSA was operationalized with questions asking about sexual abuse during childhood/adolescence. CSB was measured using the 13-item Compulsive Sexual Behavior Inventory (CSBI). Depressive symptoms were measured using the 20-item Centers for Epidemiologic Studies Depression (CES-D) scale and emotion regulation was measured using a 36-item Difficulties in Emotion Regulation Scale (DERS). Path analysis was conducted to determine the mediating role of depressive symptoms and emotion regulation in the association between CSA and CSB. There was a statistically significant association between CSA and CSB (β = 0.160; p = 0.019). There were statistically significant indirect associations between CSA, depressive symptoms, emotion regulation, and CSB (depressive symptoms β = 0.0.071; p = 0.010; DERS: β = 0.080; p = 0.006). Depressive symptoms were also correlated with emotion regulation (r = 0.596; p < 0.001). The relationship between CSA and CSB was significantly mediated by depressive symptoms and emotion regulation. Trauma-informed interventions addressing depressive symptoms and difficulties in emotion regulation may help to reduce CSB among MSM living with HIV.
A review on emotion detection by using deep learning techniques
Authors: Chutia Tulika , Baruah Nomi 
Published: July 2024

AbstractAlong with the growth of Internet with its numerous potential applications and diverse fields, artificial intelligence (AI) and sentiment analysis (SA) have become significant and popular research areas. Additionally, it was a key technology that contributed to the Fourth Industrial Revolution (IR 4.0). The subset of AI known as emotion recognition systems facilitates communication between IR 4.0 and IR 5.0. Nowadays users of social media, digital marketing, and e-commerce sites are increasing day by day resulting in massive amounts of unstructured data. Medical, marketing, public safety, education, human resources, business, and other industries also use the emotion recognition system widely. Hence it provides a large amount of textual data to extract the emotions from them. The paper presents a systematic literature review of the existing literature published between 2013 to 2023 in text-based emotion detection. This review scrupulously summarized 330 research papers from different conferences, journals, workshops, and dissertations. This paper explores different approaches, methods, different deep learning models, key aspects, description of datasets, evaluation techniques, Future prospects of deep learning, challenges in existing studies and presents limitations and practical implications.
No more black-boxes: estimate deformation capacity of non-ductile RC shear walls based on generalized additive models
Authors: Deger Zeynep Tuna , Taskin Gulsen , Wallace John W. 
Published: July 2024

AbstractMachine learning techniques have gained attention in earthquake engineering for their accurate predictions, but their opaque black-box models create ambiguity in the decision-making process due to inherent complexity. To address this issue, numerous methods have been developed in the literature that attempt to elucidate and interpret black-box machine learning methods. However, many of these methods evaluate the decision-making processes of the relevant machine learning techniques based on their own criteria, leading to varying results across different approaches. Therefore, the critical significance of developing transparent and interpretable models, rather than describing black-box models, becomes particularly evident in fields such as earthquake engineering, where the interpretation of the physical implications of the problem holds paramount importance. Motivated by these considerations, this study aims to advance the field by developing a novel methodological approach that prioritizes transparency and interpretability in estimating the deformation capacity of non-ductile reinforced concrete shear walls based on an additive meta-model representation. Specifically, this model will leverage engineering knowledge to accurately predict the deformation capacity, utilizing a comprehensive dataset collected from various locations globally. Furthermore, the integration of uncertainty analysis within the proposed methodology facilitates a comprehensive investigation into the influence of individual shear wall variables and their interactions on deformation capacity, thereby enabling a detailed understanding of the relationship dynamics. The proposed model stands out by aligning with scientific knowledge, practicality, and interpretability without compromising its high level of accuracy.
Impact of behavioural intention to adopt climate-smart agricultural practices on the food and nutrition security of farming households: A microeconomic level evidence
Authors: Omotoso Abeeb Babatunde , Omotayo Abiodun Olusola 
Published: July 2024

AbstractThe study examined the behavioural intention to adopt climate-smart agricultural practices (CSA) and its impact on the food-nutrition security (FNS) of farming households in South Africa. We employed a multistage sampling procedure to select rural maize farmers across the selected villages. To determine the impacts of behavioural adoption of CSA on the FNS of farming households, endogenous switching regression model (ESRM) was employed, while household dietary diversity score (HDDS) and household food insecurity access score (HFIAS) were used to determine the FNS status of the households. The findings emphasized the significance of the behavioural intentions of rural maize farmers, assessed through their attitudinal dimensions (measured in terms of perceived social norms, behavioural intentions, and control) in influencing the adoption decision of CSA practices, hence CSA adoption positively impacts FNS in South Africa. The result indicates that households that adopt CSA observe a 27% and 23% increase in HDDS and a decrease in HFIAS compared to those who do not adopt CSA practices, respectively. Thus, the outcome illustrates that the adoption of CSA practices substantially enhances the HDDS and HFIAS of rural maize farming households in South Africa. Following this backdrop, a concerted effort to raise knowledge of CSA practices through disseminating pertinent information will exert influence on the farmers' adoption behaviour towards CSA practices, which is capable of improving the FNS of rural maize farmers.
A phenome-wide association and factorial Mendelian randomization study on the repurposing of uric acid-lowering drugs for cardiovascular outcomes
Authors: Wang Lijuan , Mesa-Eguiagaray Ines , Campbell Harry , Wilson James F , Vitart Veronique , Li Xue , Theodoratou Evropi 
Published: July 2024

AbstractUric acid has been linked to various disease outcomes. However, it remains unclear whether uric acid-lowering therapy could be repurposed as a treatment for conditions other than gout. We first performed both observational phenome-wide association study (Obs-PheWAS) and polygenic risk score PheWAS (PRS-PheWAS) to identify associations of uric acid levels with a wide range of disease outcomes. Then, trajectory analysis was conducted to explore temporal progression patterns of the observed disease outcomes. Finally, we investigated whether uric acid-lowering drugs could be repurposed using a factorial Mendelian randomization (MR) study design. A total of 41 overlapping phenotypes associated with uric acid levels were identified by both Obs- and PRS- PheWASs, primarily cardiometabolic diseases. The trajectory analysis illustrated how elevated uric acid levels contribute to cardiometabolic diseases, and finally death. Meanwhile, we found that uric acid-lowering drugs exerted a protective role in reducing the risk of coronary atherosclerosis (OR = 0.96, 95%CI: 0.93, 1.00, P = 0.049), congestive heart failure (OR = 0.64, 95%CI: 0.42, 0.99, P = 0.043), occlusion of cerebral arteries (OR = 0.93, 95%CI: 0.87, 1.00, P = 0.044) and peripheral vascular disease (OR = 0.60, 95%CI: 0.38, 0.94, P = 0.025). Furthermore, the combination of uric acid-lowering therapy (e.g. xanthine oxidase inhibitors) with antihypertensive treatment (e.g. calcium channel blockers) exerted additive effects and was associated with a 6%, 8%, 8%, 10% reduction in risk of coronary atherosclerosis, heart failure, occlusion of cerebral arteries and peripheral vascular disease, respectively. Our findings support a role of elevated uric acid levels in advancing cardiovascular dysfunction and identify potential repurposing opportunities for uric acid-lowering drugs in cardiovascular treatment.
Be a hero, be your own best friend: a self-compassion-based PsyCap intervention improves PhD students’ well-being
Authors: Solms Luisa , van den Heuvel Machteld , Nevicka Barbara , Homan Astrid C. 
Published: July 2024

AbstractGrowing research evidence points towards a mental health crisis in PhD students. High-quality support services for PhD students are scarce as is research on interventions. Inspired by Conservation of Resources theory, we introduce a novel type of PsyCap intervention—a self-compassion-based PsyCap training—that aims to improve PhD students’ well-being (i.e., in terms of reducing work pressure and increasing positive affect and support seeking) through PsyCap and self-compassion. 115 PhD students in the Netherlands were randomized to a self-compassion-based PsyCap intervention, a PsyCap-only intervention, or a wait-list control group. Results indicated that the self-compassion-based PsyCap intervention increased self-compassion, reduced work pressure, and increased support seeking in the short term following the intervention. The PsyCap-only intervention increased psychological capital and reduced work pressure in the short term. Notably, increase in self-compassion was a key mechanism through which participants of the self-compassion-based PsyCap intervention, but not the PsyCap-only intervention, experienced improvements in all well-being outcomes over the longer term. Unexpectedly, the self-compassion-based PsyCap intervention increased psychological capital only at follow-up via self-compassion. This study provides initial evidence that developing PsyCap, alongside self-compassion, may take longer but benefits PhD students’ well-being and does so more than developing PsyCap alone.
Higher education retention in Ireland and Scotland: the role of admissions policies
Authors: Iannelli Cristina , McMullin Patricia , Smyth Emer 
Published: July 2024

AbstractThis article provides new insights into the role played by higher education (HE) selection policies in influencing student retention by exploring drop-out patterns in Ireland and Scotland. The Irish and Scottish HE systems differ in relation to the emphasis placed on grades and subjects studied at school and to the degree of autonomy enjoyed by HE institutions in the student admissions process. We investigate whether these system differences matter for student retention using administrative data from national student records and logistic regression modelling. The findings show that in Ireland, HE students have higher chances of dropping out than in Scotland and there are inequalities in these chances among students from different social backgrounds. Moreover, the association between subject matching (but also school grades) and the chances of dropping-out is stronger in Ireland than in Scotland. We conclude that the tighter student selection criteria in Scotland improve retention and reduce social inequalities in drop-out rates. Moreover, admission criteria are found to be important not only to explain between-country differences in drop-out rates but also within-country differences among different HE institutions.
Mental Health Stigma in the Workplace and its Association with Possible Actions of Managers to Prevent Sickness Absence of Employees with Mental Health Problems in the Swedish Private Sector: a Video Vignette Study
Authors: Schuller Sofie , de Rijk Angelique , Corin Linda , Bertilsson Monica 
Published: July 2024

Abstract
Purpose
Mental health problems (MHPs) are subjected to workplace stigma and can deteriorate into common mental disorders (CMDs) and sickness absence (SA). Research has shown that personal stigmatizing attitudes limit managers’ efforts towards employees with MHPs, but knowledge is lacking regarding stigma in social contexts (contextual stigma) and different types of possible preventive actions. This study investigates personal stigmatizing attitudes and three contextual stigma layers (employee, collegial, organizational) and different types of possible actions to prevent SA of employees with MHPs.

Method
Survey data of 2769 Swedish managers working in the private sector were analysed. Personal stigmatizing attitudes were measured with the managerial stigma towards employee depression scale and supplemented with four additional items capturing contextual stigma. Managers watched video vignettes and assessed which preventive actions (n  = 20) were possible to use in their organization. A sum score was calculated reflecting the ‘number of actions’. Principal component analysis revealed three action types: adapt tasks and setting, involve experts, and social support. A score reflecting the ‘possibilities to implement actions’ was calculated for each type. Multiple linear regression analyses were conducted with the four stigma layers as independent variables for each of the three action variables.

Results
Personal stigmatizing attitudes and contextual stigma were significantly associated with both ‘number of actions’ and ‘possibilities for implementing actions’ relating to all action types. Patterns of associations with contextual stigma were significant but varied between the different action types.

Conclusion
This study substantiated the role of personal stigmatizing attitudes and contextual stigma in relation to possible actions of managers to prevent SA of employees with MHPs. The results emphasize the role of contextual stigma. Implications for practice and research are discussed.
Assessing setting times of cementitious materials using semi-adiabatic calorimetry
Authors: Baranyi Attila , Kopecskó Katalin , Csetényi László 
Published: July 2024

AbstractThe most common methods for the determination of setting times of cements are the various penetration tests. One of the most important of these is the Vicat method, which is the current standard measurement (EN 196-3) to determine the setting time of cement. However, there are alternative methods that can be used to monitor the setting process and eliminate several issues that arise from the Vicat method, such as intermittent measurement, measurability of cement pastes of non-standard consistency, testing mortars and concretes.One such method is semi-adiabatic calorimetry (SAC), which can be an alternative to penetration tests in appropriate circumstances. In this study, determination of setting times of two sources of CEM I 42.5 N cement was observed, using semi-adiabatic calorimetry at different (0.25; 0.27; 0.29; and, 0.31) water to cement ratios (w/c). During our measurements, we observed that the ratio between the setting time of a given source of cement and the time it took to reach the maximum rate of heat development was almost constant for the same cement and w/c ratio, which enables a simple and inexpensive routine measurement of setting times of Portland cement.
Explainable dating of greek papyri images
Authors: Pavlopoulos John , Konstantinidou Maria , Perdiki Elpida , Marthot-Santaniello Isabelle , Essler Holger , Vardakas Georgios , Likas Aristidis 
Published: July 2024

AbstractGreek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on palaeographical methods, with broad approximations which often span more than a century. We created a dataset of 242 images of papyri written in “bookhand” scripts whose date can be securely assigned, and we used it to train algorithms for the task of dating, showing its challenging nature. To address data scarcity, we extended our dataset by segmenting each image into its respective text lines. By using the line-based version of our dataset, we trained a Convolutional Neural Network, equipped with a fragmentation-based augmentation strategy, and we achieved a mean absolute error of 54 years. The results improve further when the task is cast as a multi-class classification problem, predicting the century. Using our network, we computed precise date estimations for papyri whose date is disputed or vaguely defined, employing explainability to understand dating-driving features.