bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer
Authors: Waqas Muhammad , Tahir Muhammad Atif , Author Muhammad Danish , Al-Maadeed Sumaya , Bouridane Ahmed , Wu Jia 
Published: February 2024

AbstractIn multiple-instance learning (MIL), the existing bag encoding and attention-based pooling approaches assume that the instances in the bag have no relationship among them. This assumption is unsuited, as the instances in the bags are rarely independent in diverse MIL applications. In contrast, the instance relationship assumption-based techniques incorporate the instance relationship information in the classification process. However, in MIL, the bag composition process is complicated, and it may be possible that instances in one bag are related and instances in another bag are not. In present MIL algorithms, this relationship assumption is not explicitly modeled. The learning algorithm is trained based on one of two relationship assumptions (whether instances in all bags have a relationship or not). Hence, it is essential to model the assumption of instance relationships in the bag classification process. This paper proposes a robust approach that generates vector representation for the bag for both assumptions and the representation selection process to determine whether to consider the instances related or unrelated in the bag classification process. This process helps to determine the essential bag representation vector for every individual bag. The proposed method utilizes attention pooling and vision transformer approaches to generate bag representation vectors. Later, the representation selection subnetwork determines the vector representation essential for bag classification in an end-to-end trainable manner. The generalization abilities of the proposed framework are demonstrated through extensive experiments on several benchmark datasets. The experiments demonstrate that the proposed approach outperforms other state-of-the-art MIL approaches in bag classification.
Fabrication of new Mn-based MXene structure from MnO2 for electrochemical energy storage applications
Authors: Eraky Mostafa S. , El-Sadek Mohamed , Shenouda Atef Y. , Sanad Moustafa M. S. 
Published: February 2024

AbstractMXene compound of Mn7C3 was successfully prepared using combined mechanical, thermal, and leaching processes. A mixture of MnO2, Al, and black C with stoichiometric ratios 3:5:2 was mechanically activated in the ball mill for 5 h. Thermal treatment at 1000 °C was applied to this mixture. Magnetic separation was used to separate Mn3AlC2 from Al2O3. After that, Al was leached from Mn3AlC2 using 15% HF. SEM investigation indicated the formation of Mxene (Mn7C3) particles as aligned sheet-like structure and particle size distribution range of 110–145 nm. The obtained MXene compounds were used as an active material vs. lithium metal and assembled in a coin cell. The electrochemical assessment of this cell was carried out using galvanostatic cycling, electrochemical impedance spectroscopy, and cyclic voltammetry techniques. MXene (Mn7C3) cell showed better performance with charge capacity by preserving about 150 mAh g−1 after 100 cycles. The coulombic efficiency of the cell is approaching 99.2% after long cycles.
Graphical abstract
Skeletal stability after maxillary distraction osteogenesis or conventional Le Fort I osteotomy in patients with cleft lip and palate: A superimposition-based cephalometric analysis
Authors: Lundberg Joakim , Al-Taai Nameer , Levring Jäghagen Eva , Ransjö Maria , Sjöström Mats 
Published: February 2024

Abstract
Purpose
The aim was to assess skeletal stability after maxillary advancement using either distraction osteogenesis (DO) or conventional Le Fort I osteotomy (CO) in patients with cleft lip and palate (CLP) or cleft palate (CP) utilising a new superimposition-based cephalometric method.

Method
This retrospective study included patients who were treated with DO (N = 12) or CO (N = 9). Sagittal and vertical changes after surgery, and skeletal stability at 18 months post-operatively were assessed with superimposition-based cephalometry, comparing lateral cephalograms performed pre-operatively (T0), post-operatively after CO or immediately after completed distraction in DO (T1), and at 18 months of follow-up (T2).

Results
The mean sagittal movements from T0 to T2 in the DO and CO groups were 5.9 mm and 2.2 mm, respectively, with a skeletal relapse rate of 16% in the DO group and 15% in the CO group between T1 and T2. The vertical mean movement from T0 to T2 in the DO and CO groups was 2.8 mm and 2.0 mm, respectively, and the skeletal relapse rate between T1 and T2 was 36% in the DO group and 32% in the CO group.

Conclusion
Sagittal advancement of the maxilla was stable, in contrast to the vertical downward movement, which showed more-extensive relapse in both groups. Despite more-extensive maxillary advancement in the DO group, the rates of skeletal relapse were similar.
Analysis of the relationship between tourism, green technological innovation and environmental quality in the top 15 most visited countries: evidence from method of moments quantile regression
Authors: Avcı Pınar , Sarıgül Sevgi Sümerli , Karataşer Büşra , Çetin Murat , Aslan Alper 
Published: February 2024

AbstractGlobal warming, climate change and environmental pollution are considered among the important developments that threaten all world economies. In this context, the transition to a zero-emission economy remains one of the environmental sustainability goals of policymakers. The literature investigating the tourism-environmental pollution relationship has limited emphasis on the role of green technological innovation. Therefore, this study explores the effect of tourism and green technological innovation on CO2 emissions in top 15 most visited countries during the period of 1995–2019. Renewable energy consumption, financial development and economic growth are integrated into the CO2 emissions equation as control variables. The cointegration tests verify the existence of a cointegration between variables. The long-run estimaters reveal that tourism, green technological innovation and renewable energy consumption serve to improve environmental quality by reducing CO2 emissions. Contrary to these findings, financial development and economic growth play a role in the increase of CO2 emissions implying a deterioration in environmental quality. The bootstrap causality analysis points to a bidirectional causality between tourism and CO2 emissions and between green technological innovation and CO2 emissions. The findings will make important contributions to policy makers in these countries in meeting their CO2 emissions reduction targets.
Graphical Abstract
Social contact patterns with acquaintances and strangers related to influenza in the post-pandemic era
Authors: Yang Mengya , Chen Can , Zhang Xiaobao , Cao Kexin , Du Yuxia , Jiang Daixi , Yan Rui , Wu Xiaoyue , Chen Mengsha , You Yue , Zhou Wenkai , Chen Dingmo , Qi Jiaxing , Yang Shigui 
Published: February 2024

Abstract
Aim
To investigate the social contact patterns of Chinese residents in the post COVID-19 pandemic period, explore the associations between the different contact patterns and incidence of influenza.

Subject and methods
A cross-sectional social contact survey was conducted on Chinese residents from December 9, 2021, to January 20, 2022. The contact was divided into participant–acquaintance (P–A) and participant–stranger (P–S), and the generalized linear model (GLM) was used to explore their impact on the incidence of influenza.

Results
The contact frequency of P–S was higher than that of P–A (3.41 V.S. 1.94), but the average contact duration of P–S was much shorter than that of P–A (0.20 h V.S. 5.53 h). P–A contact mainly occurred among peers as well as family members. However, P–S contact was concentrated in the middle-aged population. In GLM, the influence of P–S on the incidence of influenza was higher (OR = 2.63, 95% CI 2.29–3.02) than that of P–A (OR = 1.82, 95% CI 1.56–2.13), especially on the weekend (P–S OR = 4.31, 95% CI 2.31–8.01) and in recreation places (P–S OR = 4.94, 95% CI 2.26–10.78).

Conclusions
Social contact will increase the incidence rate of influenza. Therefore, when contacting with strangers, especially in recreation places, personal protective behavior should be strengthened.
Selective, reciprocal and quiet: lessons from rural queer empowerment in community-supported agriculture
Authors: Raj Guilherme 
Published: February 2024

AbstractRural queer studies, viewed through the lens of relational agriculture, offer critiques of heteropatriarchal norms in farming and highlight strategies used by queer farmers to manoeuvre discrimination and thrive in rural areas. This paper responds to recent calls for further scrutiny of the experiences of gender and sexually underrepresented groups in community-supported agriculture (CSA). It investigates the empowerment of rural queer people in CSA Guadiana, South Portugal, through the experiences of 12 queer members. I collected data through participant observation, semi-structured interviews and a focus group and analysed them through open coding, followed by focused coding. Results indicate that CSA Guadiana, despite not originally designed for this purpose, facilitates various forms of empowerment and active engagement among queer members, particularly influenced by the leadership of queer producers and recurrent gatherings in queer-owned farmland. Three key lessons of queer empowerment in CSA Guadiana emerge from the analysis and contribute to debates on the politics of recognition, queer community action and visibility in the rural context: (i) self-confidence to perform queerness may be restricted to a selective rural community; (ii) partnerships between producers and co-producers may enable reciprocal queer empowerment; and (iii) queer leadership in agri-food community action may quietly represent gender and sexual diversity in the countryside. These findings offer the rural queer literature novel insights into the complexities, contradictions and limitations of empowerment experienced by queer farmers, artisanal food producers and consumers in a rural CSA.
Behavioral Modeling and its Association with PrEP and ART Use in Ugandan HIV-Serodifferent Couples
Authors: Wang Liying , Muwonge Timothy R. , Simoni Jane M. , Nambi Florence , Nakabugo Lylianne , Kibuuka Joseph , Thomas Dorothy , Katz Ingrid T. , Feutz Erika , Thomas Katherine K. , Ware Norma C. , Wyatt Monique A. , Kadama Herbert , Mujugira Andrew , Heffron Renee ,   For the Partners PrEP Program Study Team
Published: February 2024

AbstractIntegrating Pre-Exposure Prophylaxis (PrEP) delivery into Antiretroviral Therapy (ART) programs bridges the Human Immunodeficiency Virus (HIV) prevention gap for HIV-serodifferent couples prior to the partner living with HIV achieving viral suppression. Behavioral modeling is one mechanism that could explain health-related behavior among couples, including those using antiretroviral medications, but few tools exist to measure the extent to which behavior is modeled. Using a longitudinal observational design nested within a cluster randomized trial, this study examined the factor structure and assessed the internal consistency of a novel 24-item, four-point Likert-type scale to measure behavioral modeling and the association of behavioral modeling with medication-taking behaviors among heterosexual, cis-gender HIV-serodifferent couples. In 149 couples enrolled for research, a five-factor model provided the best statistical and conceptual fit, including attention to partner behavior, collective action, role modeling, motivation, and relationship quality. Behavioral modeling was associated with medication-taking behaviors among members of serodifferent couples. Partner modeling of ART/PrEP taking could be an important target for assessment and intervention in HIV prevention programs for HIV serodifferent couples.
Energy-efficient scheduling model and method for assembly blocking permutation flow-shop in industrial robotics field
Authors: Kong Min , Wu Peng , Zhang Yajing , Wang Weizhong , Deveci Muhammet , Kadry Seifedine 
Published: February 2024

AbstractImplementing green and sustainable development strategies has become essential for industrial robot manufacturing companies to fulfill their societal obligations. By enhancing assembly efficiency and minimizing energy consumption in workshops, these enterprises can differentiate themselves in the fiercely competitive market landscape and ultimately bolster their financial gains. Consequently, this study focuses on examining the collaborative assembly challenges associated with three crucial parts: the body, electrical cabinet, and pipeline pack, within the industrial robot manufacturing process. Considering the energy consumption during both active and idle periods of the industrial robot workshop assembly system, this paper presents a multi-stage energy-efficient scheduling model to minimize the total energy consumption. Two classes of heuristic algorithms are proposed to address this model. Our contribution is the restructuring of the existing complex mathematical programming model, based on the structural properties of scheduling sub-problems across multiple stages. This reformation not only effectively reduces the variable scale and eliminates redundant constraints, but also enables the Gurobi solver to tackle large-scale problems. Extensive experimental results indicate that compared to traditional workshop experience, the constructed green scheduling model and algorithm can provide more precise guidance for the assembly process in the workshop. Regarding total energy consumption, the assembly plans obtained through our designed model and algorithm exhibit approximately 3% lower energy consumption than conventional workshop experience-based approaches.
Sex-steroid hormones and risk of postmenopausal estrogen receptor-positive breast cancer: a case–cohort analysis
Authors: Albers Frances E. M. , Lou Makayla W. C. , Dashti S. Ghazaleh , Swain Christopher T. V. , Rinaldi Sabina , Viallon Vivian , Karahalios Amalia , Brown Kristy A. , Gunter Marc J. , Milne Roger L. , English Dallas R. , Lynch Brigid M. 
Published: February 2024

Abstract
Purpose
Sex-steroid hormones are associated with postmenopausal breast cancer but potential confounding from other biological pathways is rarely considered. We estimated risk ratios for sex-steroid hormone biomarkers in relation to postmenopausal estrogen receptor (ER)-positive breast cancer, while accounting for biomarkers from insulin/insulin-like growth factor-signaling and inflammatory pathways.

Methods
This analysis included 1208 women from a case–cohort study of postmenopausal breast cancer within the Melbourne Collaborative Cohort Study. Weighted Poisson regression with a robust variance estimator was used to estimate risk ratios (RRs) and 95% confidence intervals (CIs) of postmenopausal ER-positive breast cancer, per doubling plasma concentration of progesterone, estrogens, androgens, and sex-hormone binding globulin (SHBG). Analyses included sociodemographic and lifestyle confounders, and other biomarkers identified as potential confounders.

Results
Increased risks of postmenopausal ER-positive breast cancer were observed per doubling plasma concentration of progesterone (RR: 1.22, 95% CI 1.03 to 1.44), androstenedione (RR 1.20, 95% CI 0.99 to 1.45), dehydroepiandrosterone (RR: 1.15, 95% CI 1.00 to 1.34), total testosterone (RR: 1.11, 95% CI 0.96 to 1.29), free testosterone (RR: 1.12, 95% CI 0.98 to 1.28), estrone (RR 1.21, 95% CI 0.99 to 1.48), total estradiol (RR 1.19, 95% CI 1.02 to 1.39) and free estradiol (RR 1.22, 95% CI 1.05 to 1.41). A possible decreased risk was observed for SHBG (RR 0.83, 95% CI 0.66 to 1.05).

Conclusion
Progesterone, estrogens and androgens likely increase postmenopausal ER-positive breast cancer risk, whereas SHBG may decrease risk. These findings strengthen the causal evidence surrounding the sex-hormone-driven nature of postmenopausal breast cancer.
Effects of UV irradiation of TEMPO-oxidized cellulose nanofibril/water dispersions on chemical structure, molar mass, and morphology
Authors: Ning Ruizhi , Ono Yuko , Isogai Akira 
Published: February 2024

AbstractA commercial TEMPO-oxidized cellulose (TOC) and three laboratory-made TOC samples prepared under different conditions were converted to aqueous 0.4% dispersions of TEMPO-oxidized cellulose nanofibrils (TEMPO-CNFs) by high-pressure homogenization in water under the same conditions. The obtained TEMPO-CNF/water dispersions were irradiated with ultraviolet (UV) light for 0–48 h using a high-pressure mercury lamp at a main wavelength of 365 nm. The changes in the light transmittance, viscosity, pH, zeta-potential, and average particle size of the dispersions, and mass recovery ratio, molar mass, and carboxylate content of the acid-insoluble and freeze-dried fractions separated and isolated from the UV-irradiated dispersions were investigated. The results were analyzed in terms of the UV-irradiation time. The dispersion pH, and the mass recovery ratio, carboxylate content, and mass-average degree of polymerization (DPw) of the acid-soluble fraction decreased with increasing UV-irradiation time. This shows that some acid-soluble acidic compounds were formed from the TEMPO-CNFs via UV-induced depolymerization, degradation, and removal of carboxylate groups from the TEMPO-CNFs in water, depending on the UV-irradiation time. The average CNF length, which was determined from atomic force microscopy images, decreased with increasing UV-irradiation time. After UV irradiation of dispersions of the laboratory-made TEMPO-CNFs for 12 h, the average CNF lengths were 130–150 nm and their length distributions were narrower. UV irradiation of TEMPO-CNF/water dispersions is therefore a promising method for efficiently decreasing the dispersion viscosity, DPw, and average CNF length, depending on the TEMPO-CNF properties and UV-irradiation conditions.
Graphical abstract
Roles of HOTAIR Long Non-coding RNA in Gliomas and Other CNS Disorders
Authors: Ahmad Faraz , Sudesh Ravi , Ahmed A. Toufeeq , Haque Shafiul 
Published: February 2024

AbstractHOX transcript antisense intergenic RNA (HOTAIR) is a long non-coding RNA (lncRNA) which is increasingly being perceived as a tremendous molecular mediator of brain pathophysiology at multiple levels. Epigenetic regulation of target gene expression carried out by HOTAIR is thorough modulation of chromatin modifiers; histone methyltransferase polycomb repressive complex 2 (PRC2) and histone demethylase lysine-specific demethylase 1 (LSD1). Incidentally, HOTAIR was the first lncRNA shown to elicit sponging of specific microRNA (miRNA or miR) species in a trans-acting manner. It has been extensively studied in various cancers, including gliomas and is regarded as a prominent pro-tumorigenic and pro-oncogenic lncRNA. Indeed, the expression of HOTAIR may serve as glioma grade predictor and prognostic biomarker. The objective of this timely review is not only to outline the multifaceted pathogenic roles of HOTAIR in the development and pathophysiology of gliomas and brain cancers, but also to delineate the research findings implicating it as a critical regulator of overall brain pathophysiology. While the major focus is on neuro-oncology, wherein HOTAIR represents a particularly potent underlying pathogenic player and a suitable therapeutic target, mechanisms underlying the regulatory actions of HOTAIR in neurodegeneration, traumatic, hypoxic and ischemic brain injuries, and neuropsychiatric disorders are also presented.
Graphical Abstract
HOTAIR-mediated epigenetic DNA regulation and molecular sponging of target miRNAs. While the 5′ end of HOTAIR regulates the H3K27 trimethylation activity of the catalytic subunit enhancer of Zeste homolog 2 (EZH2) of the polycomb repressive complex 2 (PRC2), its 3′ end modulates the H3K4 demethylation activity of lysine-specific demethylase 1 (LSD1). HOTAIR also binds to and competitively inhibits the functions of target miRNAs, altering the expression of downstream genes.
Healing Landscapes and Grieving Eco-Warriors: Climate Activism in Children’s Literature
Authors: Murphy Emily 
Published: February 2024

AbstractChildren, we are told, are becoming more anxious. But what are they anxious about? Recent studies on “climate anxiety” suggest that the current climate crisis is at the top of children and young people’s concerns and is being expressed in the form of grief. This essay considers a growing body of climate fiction for children that links personal grief to planetary grief as a way of developing children’s ecological consciousness and putting them on the path towards climate activism. It examines Sarah Baughman’s The Light in the Lake (2019) while tracing the historical and literary roots of this trend in literature for the young. Drawing on research in the interdisciplinary field of ecopsychology, the author argues that children’s authors are increasingly drawing on tropes of ecological fiction in order to respond to the current climate crisis and offer young readers models of activism that will address this major global issue.
Routine Sensitive Enquiry of Adult Interpersonal Trauma in Community Mental Health Teams: An Audit of the Initial Assessment Tool
Authors: Hill Natasha , Graham Nicholas , Forrester Rebecca L. 
Published: February 2024

AbstractThis audit aimed to evaluate the utility of the Initial Assessment Tool (IAT) in documenting routine sensitive enquiry of adult interpersonal trauma within three Community Mental Health Teams (CMHTs) in North-East Glasgow. In addition, it sought to evaluate if disclosures informed patient risk assessments and if patients were signposted to additional support services. 57% of 90 IATs had evidence of routine sensitive enquiry. Of 51 casefiles with evidence of routine sensitive enquiry, 61% had evidence of the information informing their risk assessments and 14% had documented recommendations of support organisations. The IAT appeared able to assist clinicians with routine sensitive enquiry in adulthood. However, there may be advantage in supporting staff understanding of how to ask questions to specific populations and to use this information to inform treatment planning. Given the prevalence of adult interpersonal trauma experienced by patients presenting to CMHTs, trauma-informed approaches to care should be implemented.
Constructing Optimal Portfolio Rebalancing Strategies with a Two-Stage Multiresolution-Grid Model
Authors: Dai Tian-Shyr , Chen Bo-Jen , Sun You-Jia , Yang Dong-Yuh , Wu Mu-En 
Published: February 2024

AbstractSophisticated predetermined ratios are used to allocate portfolio asset weights to strike a good trade-off between profitability and risk in trading. Rebalancing these weights due to market fluctuations without incurring excessive transaction costs and tracking errors is a vital financial engineering problem. Rebalancing strategies can be modeled by discretely enumerating portfolio weights to form a grid space and then optimized via the Bellman equation. Discretization errors are reduced by increasing the grid resolution at the cost of increased computational time. To minimize errors with constrained computational resources (e.g., grid nodes), we vary the grid resolution according to the probability distribution of asset weights. Specifically, a grid space is first divided into several areas, and each area’s probability is estimated. Then, the discretization error’s upper bound is minimized by inserting an adequate number of grid nodes determined by Lagrange multipliers in a non-uniform fashion. In experiments, the proposed multiresolution rebalancing outperforms traditional uniform-resolution rebalancing and popular benchmark strategies such as the periodic, tolerance-band, and buy-and-hold strategies.