bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhanced descriptive captioning model for histopathological patches
Authors: Elbedwehy Samar , Medhat T. , Hamza Taher , Alrahmawy Mohammed F. 
Published: June 2023

AbstractThe interpretation of medical images into a natural language is a developing field of artificial intelligence (AI) called image captioning. This field integrates two branches of artificial intelligence which are computer vision and natural language processing. This is a challenging topic that goes beyond object recognition, segmentation, and classification since it demands an understanding of the relationships between various components in an image and how these objects function as visual representations. The content-based image retrieval (CBIR) uses an image captioning model to generate captions for the user query image. The common architecture of medical image captioning systems consists mainly of an image feature extractor subsystem followed by a caption generation lingual subsystem. We aim in this paper to build an optimized model for histopathological captions of stomach adenocarcinoma endoscopic biopsy specimens. For the image feature extraction subsystem, we did two evaluations; first, we tested 5 different vision models (VGG, ResNet, PVT, SWIN-Large, and ConvNEXT-Large) using (LSTM, RNN, and bidirectional-RNN) and then compare the vision models with (LSTM-without augmentation, LSTM-with augmentation and BioLinkBERT-Large as an embedding layer-with augmentation) to find the accurate one. Second, we tested 3 different concatenations of pairs of vision models (SWIN-Large, PVT_v2_b5, and ConvNEXT-Large) to get among them the most expressive extracted feature vector of the image. For the caption generation lingual subsystem, we tested a pre-trained language embedding model which is BioLinkBERT-Large compared to LSTM in both evaluations, to select from them the most accurate model. Our experiments showed that building a captioning system that uses a concatenation of the two models ConvNEXT-Large and PVT_v2_b5 as an image feature extractor, combined with the BioLinkBERT-Large language embedding model produces the best results among the other combinations.
Applying psycho-behavioural phenotyping in obesity characterization
Authors: Camacho-Barcia Lucía , Lucas Ignacio , Miranda-Olivos Romina , Jiménez-Murcia Susana , Fernández-Aranda Fernando 
Published: June 2023

AbstractIndividual differences in obesity, beyond being explained by metabolic and medical complications, are understood by alterations in eating behaviour which underlie psychological processes. From this psychological perspective, studies have identified several potential characteristic features at the psycho-behavioural level that could additionally explain the maintenance of chronic excess weight or the unsuccessful results of current treatments. To date, despite the growing evidence, the heterogeneity of the psychological evidence associated with obesity has made it challenging to generate consensus on whether these psycho-behavioural phenotypes can be a complement to improve outcomes of existing interventions. For this reason, this narrative review is an overview focused on summarizing studies describing the psycho-behavioural phenotypes associated with obesity. Based on the literature, three psychological constructs have emerged: reward dependence, cognitive control, and mood and emotion. We discuss the clinical implications of stratifying and identifying these psycho-behavioural profiles as potential target for interventions which may ensure a better response to treatment in individuals with obesity. Our conclusions pointed out a considerable overlap between these psycho-behavioural phenotypes suggesting bidirectional interactions between them. These findings endorse the complexity of the psycho-behavioural features associated with obesity and reinforce the need to consider them in order to improve treatment outcomes.
Climate shocks and wealth inequality in the UK: evidence from monthly data
Authors: Sheng Xin , Chisadza Carolyn , Gupta Rangan , Pierdzioch Christian 
Published: June 2023

Abstract This paper investigates both the linear and nonlinear effects of climate risk shocks on wealth inequality in the UK using the local projections (LPs) method, based on high-frequency, i.e., monthly data. The linear results show that climate risk shocks lead to an increase in wealth inequality in the longer term. The nonlinear results present some evidence of heterogeneous responses of wealth inequality to climate risk variable shocks between high- and low-climate risk regimes. The findings highlight the disproportionate increased burden of climate change on households that are already experiencing poverty, particularly households in high-climate risk areas. As such, measures to mitigate the adverse effects of climate change need to be tailored so as not to overburden the poor.
Sporadic and Familial Acute Myeloid Leukemia with CEBPA Mutations
Authors: Yuan Ji , He Rong , Alkhateeb Hassan B. 
Published: June 2023

AbstractPurpose of ReviewCCAAT enhancer binding protein A (CEBPA) gene mutation is one of the common genetic alterations in acute myeloid leukemia (AML), which can be associated with sporadic and familial AML.Recent FindingsDue to the recent advances in molecular testing and the prognostic role ofCEBPAmutation in AML, the definition for AML withCEBPAmutation (AML-CEBPA) has significantly changed. This review provides the rationale for the updates on classifications, and the impacts on laboratory evaluation and clinical management for sporadic and familial AML-CEBPApatients. In addition, minimal residual disease assessment post therapy to stratify disease risk and stem cell transplant in selected AML-CEBPApatients are discussed.SummaryTaken together, the recent progresses have shifted the definition, identification, and management of patients with AML-CEBPA.
Why so toxic? A framework for exploring customer toxicity
Authors: Duffek Barbara , Eisingerich Andreas B. , Merlo Omar 
Published: June 2023

AbstractCustomers are increasingly empowered in their interactions with firms. Sometimes they help firms but, unfortunately, they can also become “toxic” and hurt them. Customers are toxic when they engage in deliberate and potentially harmful acts towards a firm driven either by a reparatory or damaging mental state following a transgression. Whilst the existing literature has studied customers’ negative actions against organizations, critical questions remain as to how and why customers become toxic. We structure a fragmented field of research on customer toxicity and explore customers’ mental state before they decide to do nothing (non-complainers), avoid the brand, act against firms with either a reparatory mental state—and, thus, often constructive in nature (e.g., to initiate change)—or with a toxic mental state and destructive objectives (e.g., to harm and punish a firm). We highlight that the impact of these actions on a firm can still be “toxic” even without intention of harming and punishing. Furthermore, we outline the conceptual domain of customer toxicity and shift the focus from negative behavior to customers’ mental state, by integrating the marketing, aggression, and psychology literatures. We discuss the theoretical implications of our study and explore how future work may further examine organizations’ interactions with toxic customers. Finally, we provide managerial recovery techniques depending on customers’ mental state at a particular time.
Gender Typicality, Social Self-Efficacy, and Adjustment in Italian Sexual Minority Young Adults
Authors: Antoniucci Chiara , Basili Emanuele , Pistella Jessica , Baiocco Roberto 
Published: June 2023

AbstractThe present study focuses on the relationship between gender typicality, social self-efficacy, and adjustment in a sample of 522 lesbian women, gay men, bisexual, and other non-heterosexual sexual orientation participants. Participants (78.2% women; Mage = 23.8, SD = 3.63) reported their similarity to same- and other-gender peers as a way to assess their gender typicality, social self-efficacy, satisfaction with life, and perceived social safeness. The Path Analysis model showed that - controlling for participants’ gender and sexual orientation- higher same- and other-gender typicality was associated with higher perceived social safeness and higher satisfaction with life, both directly and indirectly through social self-efficacy. The present study contributed to the debate on gender studies by testing same and other gender typicality as independent dimensions of gender typicality in sexual minority young adults, focusing on positive adjustment. Furthermore, the results suggested the role of social self-efficacy as a critical mechanism in the association between gender typicality and sexual minority psychosocial adjustment.
Separation of productivity index zones using fractal models to identify promising areas of fractured reservoir rocks
Authors: Afzal Peyman , Abdideh Mohammad , Daneshvar Saein Lili 
Published: June 2023

AbstractIdentifying geological characteristics such as rock types and fractures is an important step in fractured reservoirs’ modeling and developing oil and gas fields. The productivity index (PI) is an essential parameter for this purpose. There are different methods for separating and identifying rock types and fractures, including simple statistical methods and complex fractal methods based on the spatial structure of the data. In this study, rock areas were isolated after modeling the PI parameter in a rock reservoir in southern Iran by ordinary kriging estimation. Then, the fractal concentration–area (C–A) and concentration–number (C–N) methods were used to classify the PI zones. The C–A fractal analysis revealed six different rock types and zones, and the C–N fractal method indicated four anomalies based on PI data in the studied reservoir rock. Based on the C–N and C–A models, the parts with PI ≤ 44 and PI ≤ 63, respectively, correspond to the production of wells from the reservoir rock matrix in this oil field and PI ≥ 223 include the production of wells at the fracture network of the reservoir rock. Fractal modeling indicates that the highest PI values occurred in the southeast and northwest parts of the studied oil field, suggesting better reservoir rock quality in this area. This problem is attributed to the presence of faults and the accumulation of fractures in these areas, which increases reservoir rock’s PI and permeability. The present study showed that multifractal methods are a very accurate method for separating all types of rock types in the reservoir and it separates things that are not visible in other methods such as petrophysical methods. The anomalies and communities identified for the PI parameter with these methods are well confirmed by geological evidence, especially the impact of fractures, faults and other diagenesis factors in the reservoir rock.
Transmission model of transient flow wave signal in intelligent layered water injection system
Authors: Ming Eryang , Yu Jiaqing , Zheng Lichen , Li Cong , Lan Hui-qing , Zhou Qichun , Pei Xiaohan 
Published: June 2023

AbstractFluid wave code communication is used in layered water injection intelligent monitoring system, but model of fluid transient flow wave signal transmission is still unknown. Based on the fluid energy equation of steady flow, a transmission mathematical model of fluid transient flow wave signal in intelligent layered water injection system was established. The model can accurately describe the transient flow wave transmission characteristics in the tubular string of water injection wells. The transient flow wave signals and influencing factors generated by the ground electric control valve and the downhole water distributor were studied, and the transmission mechanism of the signal in the water injection tubular string was revealed. Studies show that ground and downhole transient flow wave signals are generated by discharge changes caused by changes in the opening degree of the ground valve and the downhole water distributor. The length of the water injection tube has no effect on the downlink transmission of the wellhead signal, but has a certain influence on the uploading of the downhole signal. Numerical calculations show that the flow rate of the water injection tube has a great influence on the amplitude of the pressure signal. The larger flow rate can generate larger signal amplitude, which is beneficial to the signal transmission, signal detection and processing. It was verified by the experiments and simulations that the pressure and flow changes in the downhole and wellhead had good consistency during the transmission of transient flow waves. It is found that the greater the variation of opening degree, the greater the amplitude of transient flow wave signal, which is beneficial to the wave signal transmission. The optimal settings for the valve opening are selected as $$100\% \rightleftarrows 0\%$$

100
%
⇄
0
%

. This study has theoretical guiding significance for the design and performance improvement of fluid wave code communication systems.
Electrocoagulation process for oily wastewater treatment and optimization using response surface methodology
Authors: Moneer A. A. , Thabet W. M. , Khedawy M. , El-Sadaawy M. M. , Shaaban N. A. 
Published: June 2023

AbstractElectrocoagulation technique using aluminum electrodes in a batch bi-polar system was investigated to determine the efficiency of removing oil from oily wastewater. The Box–Behnken design was utilized to optimize conditions and the effects of four independent factors, including oil volume (X1), temperature (X2), initial pH (X3), and treatment time (X4),—were examined to investigate turbidity recovery and conductivity changes. The significant independent variables and their interactions were assessed using ANOVA. The optimal operating conditions for turbidity removal were obtained at an oil volume of 10 ml L−1, a temperature of 28 °C, an initial pH of 4, and a coagulation time of 90 min. The results revealed that turbidity removal and conductivity changes are enhanced significantly with increasing treatment time and decreasing oil volume. The application of the treatment process under optimal operating conditions allows promising removal efficiencies of 97.3%, and 73.4% for turbidity and conductivity, respectively. Also, the treated wastewater showed remarkable changes in removal efficiencies of the main oily wastewater pollution loads for COD, NO2, PO4, DO, and BOD. The economic study indicated that oily wastewater treatment by electrocoagulation is a very cost-effective technique.
Serum HMGB1 levels are independently associated with glucose clamp-derived measures of insulin resistance in women with PCOS
Authors: Moghetti P. , Catellani C. , Sartori C. , Migazzi M. , Cirillo F. , Villani M. , Buia V. , Righi B. , Dauriz M. , Fiers T. , Tosi F. , Street M. E. 
Published: June 2023

Abstract
Purpose
PCOS is associated with low grade inflammation which could play a role in insulin resistance and ovarian dysfunction. Preliminary findings suggested that serum levels of HMGB1, a cytokine involved in inflammation, might be altered in women with PCOS. Primary aim of this study was to assess whether HMGB1 serum concentrations are associated with PCOS and with the state of insulin resistance of these women.

Methods
Sixty women with PCOS, selected to have a similar proportion of subjects with altered or normal insulin sensitivity, and 29 healthy controls were studied. Serum HMGB1 levels were compared in subgroups of PCOS women and controls. In PCOS women, insulin sensitivity was assessed by the glucose clamp technique and HMGB1 was measured at baseline and after acute hyperinsulinemia.

Results
HMGB1 levels were similar in women with PCOS and controls and no elements used for diagnosing PCOS were associated with serum HMGB1. However, HMGB1 concentrations were higher in insulin-resistant vs insulin-sensitive PCOS women (p = 0.017), and inversely associated with insulin-induced total and non-oxidative glucose metabolism. In both subgroups of PCOS women, serum HMBG1 levels significantly increased after acute hyperinsulinemia.

Conclusions
These data suggest that HMGB1 levels are not associated with PCOS per se, but with insulin resistance. Further research should establish the underlying nature of this relationship, and whether this protein might play a role in the metabolic complications of PCOS.
Using Open, Public Data for Security Provision: Ethical Perspectives on Risk-Based Border Checks in the EU
Authors: Weydner-Volkmann Sebastian 
Published: June 2023

AbstractThis article explores the use of open-source intelligence (OSINT) techniques as part of data-driven border checks in the EU. While the idea to group travelers into risk categories in order to differentiate the intensity of border checks has been criticized for its likely impact on privacy and other fundamental rights, the exclusive use of “open,” “public” data was proposed as an alternative that mitigates these issues. However, OSINT remains a rather vague term, as it is unclear what constitutes “open” or “public” data, how the use of such techniques would contribute to the production of security, and whether its use actually mitigates most ethical issues. The goal of this article is to contribute toward a situated answer to these questions. It will provide groundwork by clarifying what OSINT practices could entail in the context of the European border checks regime and by developing an ethical perspective on these practices. I will show that the impact depends not so much on the public availability of the analyzed data, but on the specifics of the implementation of OSINT techniques. Thus, certain uses of OSINT continue to raise severe privacy and fundamental rights issues.
HCI driving alienation: autonomy and involvement as blind spots in digital ethics
Authors: Jungtäubl Marc , Zirnig Christopher , Ruiner Caroline 
Published: June 2023

AbstractThe ongoing development and adoption of digital technologies such as AI in business brings ethical concerns and challenges. Main topics are the design of digital technologies, their tasks, and competencies in organizational practice, and their collaboration with humans. Previous guidelines on digital ethics mainly consider technological aspects such as the nondiscriminatory design of AI, its transparency, and technically constrained (distributed) agency as priorities in AI systems, leaving the consideration of the human factor and the implementation of ethical guidelines in organizational practice unclear. We analyze the relationship between human–computer interaction (HCI), autonomy, and worker involvement with its impact on the experience of alienation at work for workers. We argue that the consideration of autonomy and worker involvement is crucial for HCI. Based on a quantitative empirical study of 1989 workers in Germany, the analysis shows that when worker involvement is high, the effect of HCI use on alienation decreases. The study results contribute to the understanding of the use of digital technologies with regard to worker involvement, reveal a blind spot in widespread ethical debates about AI, and have practical implications with regard to digital ethics in organizational practice.
Highlights the recent important findings in cancer heterogeneity
Authors: Wang Xishan 
Published: June 2023

AbstractThe therapeutic drugs, agents or techniques for the treatment of cancer could be misled since tumor tissues are frequently heterogeneous and hard to characterize. The changing of tumor microenvironments and epigenetics can mediate immunoescape and dampen the efficacy of adjuvant treatment. This short review highlights the recent important findings in cancer heterogeneity, including cancer immunology, epigenetics and genetic mutations, intratumoral microbiota and cancer stem cells, and contributing to the design of innovative cancer treatment strategy.
Trust Associated with South Korean Sojourners’ Chinese COVID-19 Vaccination Intent and Concerns: A Qualitative Study
Authors: Lin Yujun , Liu Xiaoli 
Published: June 2023

AbstractPeople’s willingness to get vaccinated determines whether the campaigns against the COVID-19 pandemic can be successful in part. Considering the fact that both foreigners and its nationals are exposed to the risk of infection in China, the Chinese government has taken measures favorable to foreigners in terms of the vaccination, yet South Korean sojourners were reluctant to get China-developed COVID-19 vaccines. This study employed the trust in institutions and trust in media as a theoretical framework and seeks to analyze how these two affect South Korean sojourners’ intention to get Chinese COVID-19 vaccines. 25 South Korean sojourners living in Beijing participated in semi-structured interviews. The results showed that the mistrust South Korean sojourners have in China’s institutions and media, both traditional and social media, led to their reluctance to get Chinese COVID-19 vaccines. In addition, South Korean sojourners’ higher interpersonal trust in their peers also influenced their willingness to get vaccines. This study further interpreted such results from the perspective of cultural traits and national properties.
Colorslope: a balanced visualization of overview and details on ranks over time
Authors: Wang Hao , Jiang Xingyu , Nagarajan Apurva , Guo Xiaolei , Ding Lu , Wan Dayu , Zhao Junhan , Chen Yingjie 
Published: June 2023

AbstractUsers are often interested in exploring ranks over time data to compare the performance or ranking of multiple observations with respect to each other. However, predominant visualization techniques suffer from a high cognitive load due to visual clutter. We propose Colorslope, a hybrid of Tufte’s slope graph and temporal heatmap, to depict ranks over time in one graph while maintaining an overview and details with scalability. Colorslope combines both canonical visualization methods’ complementary benefits: depicting overall trends and enabling the estimation of detailed values. We evaluated the efficacy and effectiveness of Colorslope by comparing it with a standard bump chart and temporal heatmap on various data sizes. We conclude that Colorslope contributes by (1) allowing users to identify extremes of the data and rate of change effectively in a relatively large number of series; (2) allowing the visualization to have better scalability in a larger amount of data (e.g., 30 ∼ 50) than a bump chart; and (3) allowing users to gain a better estimate of data values than a heatmap. For a certain size of ranks over time data, Colorslope provides an alternative solution to visualize multiple time series simultaneously that provides both an overview and a certain level of detail.
Everyday Life in the Classic Maya World
Authors: Ardren Traci 
Published: June 2023

Everyday Life in the Classic Maya World introduces readers to a range of people who lived during the Classic period (200–800 CE) of Maya civilization. Traci Ardren here reconstructs the individual experiences of Maya people across all social arenas and experiences, including less-studied populations, such as elders, children, and non-gender binary people. Putting people, rather than objects, at the heart of her narrative, she examines the daily activities of a small rural household of farmers and artists, hunting and bee-keeping rituals, and the bustling activities of the urban marketplace. Ardren bases her study on up-to-date and diverse sources and approaches, including archaeology, art history, epigraphy, and ethnography. Her volume reveals the stories of ancient Maya people and also shows the relevance of those stories today. Written in an engaging style, Everyday Life in the Classic Maya World offers readers at all levels a view into the amazing accomplishments of a culture that continues to fascinate.