bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Dynamics of Inequality and Poverty Among Children in Colombia During the COVID-19 Recession
Authors: Wang Zuobao , Chen Yao , Lin Tianrun , Xing Xinyi 
Published: February 2024

Abstract This study examines the impact of the COVID-19 pandemic on the income, inequality, and poverty levels among Colombian children between 2019 and 2020, using data from the Luxembourg Income Study Database. The income distribution and changes among Colombian children are analyzed using the probability density function and growth incidence curve. The paper utilizes the Foster–Greer–Thorbecke methodology to measure child poverty in Colombia, decomposes the contributions of different subgroups to child poverty and its changes, and conducts a growth-distribution decomposition of changes in child poverty. The study also employs income-source decomposition to examine the contributions of different income sources to child inequality and its changes. The results show that Colombian children experienced a decline in income, an increase in inequality, and higher levels of poverty during the COVID-19 pandemic. Children from households with higher dependency ratios and those living in rural areas were more likely to experience poverty. The main driver of increased poverty among Colombian children was decreased income, and there was a significant worsening of inequality for ultra-poor children. Labor income emerged as the primary source of inequality and its changes, whereas capital income and private transfers played a role in reducing poverty. However, public social benefits slightly increased inequality levels. Overall, the recession caused by the COVID-19 pandemic is antipoor but pro-ultra-poor. To address similar recessions in the future, the government should expand public transfer payments especially programs targeting children to reduce income inequality and alleviate poverty among children, and bolster the provision of public services essential for children’s development.
Applicability of Utilizing Remote Sensing Rainfall Products Data in Arid and Semi-Arid Poorly Gauged Catchments: Study of Wadi Ghoweiba Watershed, Egypt
Authors: Abu El Ella Elsayed M. , Abbas Abdullah A. , Mohamed Hassan I. 
Published: February 2024

AbstractDue to the scarcity of established rain gauge stations, obtaining continuous time series daily rainfall observation data is a major challenge. The availability of these data is very essential to conduct hydrological studies and predicting flood events. Nowadays, several satellites could be used to provide such data. This study aims to investigate the appropriate remote sensing (RS) rainfall product and use its data to develop frequency analysis and intensity–duration–frequency curve (IDF curve) at 5-, 10-, 25-, 50-, 100-, and 200-year return periods in the study area. The evaluation of the PERSIANN family products (PERSIANN, PERSIANN-CCS, PERSIANN-CDR, and PDIR-Now) with NASA-POWER datasets compared to the available annual maximum of daily observation rainfall in Suez Rain Gauge (SRG) station as a reference was conducted. The results show that the PERSIANN-CDR product is the appropriate satellite-based rainfall dataset product based on the outcomes of the comparison criteria (RMSE, Bias, CC, and R2 error measures) of rainfall characteristics analysis and Chi-squared test of distributions. The frequency analysis results confirmed that the values of about 30.3–38.6 and 40–53.3 mm/day corresponding to the biggest flood reported in 1965 and 2020 in SRG station and PERSIANN-CDR product have a return period of 50–100 years, classifying it as an extreme event in Wadi Ghoweiba. These findings would considerably benefit decision-makers in estimating flood risks and planning the appropriate structure protections in the Wadi Ghoweiba Watershed.
Heat transfer effect on the modeling of jets under supercritical and transcritical conditions
Authors: Magalhães Leandro B. , Silva André R. , Barata Jorge M. 
Published: February 2024

AbstractThe injection of nitrogen under supercritical and transcritical conditions, where the injection temperature is below nitrogen’s critical point, but the pressure is above it, is considered in this paper. While the scientific community recognizes that the sharp gradients of the different thermophysical parameters make it inappropriate to employ a two-phase flow modeling at conditions above the critical point, the issue is not restrained to the mere representation of turbulence for a mono-phase flow. Instead, a quantitative similarity with gas-jet-like behavior led to proposing an incompressible but variable density hypothesis suitable for describing supercritical and sub/near-critical conditions. Presently, such an approach is extended and assessed for a configuration including injector heat transfer. As such, axial density and temperature decay rates and jet spreading rates of density and temperature are evaluated, indicating a higher mixing efficiency in the supercritical regime and an overall dominance of heat propagation over momentum transport, with a greater preponderance in the supercritical regime.
An enhanced Benders decomposition method for unique shortest path routing
Authors: Zhang Changyong 
Published: February 2024

AbstractWith the aim of looking into a comparatively more efficient solution approach for the unique shortest path routing problem, an alternative problem formulation to a counterpart is first introduced. The model is mathematically equivalent to the counterpart concerning both the feasibility and optimality of the problem. By exploring the constraint structures and model sizes of the two formulations, the former is identified to be a more appropriate one for a decomposition algorithm to solve the problem. An enhanced Benders decomposition method, embedded with redundancy generation strategy, is then proposed, based on the study of problem properties of network flow problems.
A Mixed-Methods Study of Compassionate Mind Training for Pupils (CMT-Pupils) as a School-Based Wellbeing Intervention
Authors: Maratos Frances A. , Wood Wendy , Cahill Rory , Tronco Hernández Yessica Abigail , Matos Marcela , Gilbert Paul 
Published: February 2024

Abstract
Objectives
Mental health difficulties in children are increasing, especially following transition from elementary to high-school education. In attempts to mitigate risk of these difficulties, proactive wellbeing interventions are becoming increasingly explored in school settings. Recently, Compassionate Mind Training (CMT) has been shown to be well-accepted and efficacious in promoting school staff wellbeing and prosocial behaviours. This paper outlines the impact of CMT as a pupil wellbeing intervention.

Method
Sixty-seven pupils aged 11–12 took part in either Personal, Social, Health and Economic (PSHE) lessons as usual (n=30), or CMT-Pupils (n=37) as their PSHE lessons, over a 5-week period. A mixed-methods quantitative and qualitative design was utilised to explore implementation and curricula effectiveness across several wellbeing parameters (e.g., anxiety, self-compassion, perfectionism, moods and feelings, self-esteem).

Results
Pupils reported positively on their experiences of the CMT-Pupils lessons, content and practices. Quantitative analyses revealed a significant time-by-group interaction effect for anxiety, reflecting differences in anxiety post CMT-Pupils vs. PSHE as usual. No further interactions reached significance. Qualitative analyses revealed benefits of CMT-Pupils for pupil and classroom behaviour, including emotion regulation, kindness to others and feelings of inclusion. Benefits were also found to extend to the class teachers.

Conclusions
CMT-pupils could be a promising school-based wellbeing intervention for improving prosocial behaviours, the classroom environment and protecting against deteriorations in child mental health. Larger scale explorations of CMT-Pupils across wider demographics, including investigation of who can deliver the curriculum efficaciously (e.g., teachers vs. external facilitators), are suggested as next steps for investigation.

Preregistration
This study was not preregistered.
APOB is a potential prognostic biomarker in hepatocellular carcinoma
Authors: Lin Zhifeng , Ji Xiaohui , Tian Nana , Gan Yu , Ke Li 
Published: February 2024

AbstractHepatocellular carcinoma (HCC) is significantly associated with adverse prognostic outcomes. The development and progression of different types of human tumors are significantly influenced by APOB. Nevertheless, the significance and pathomechanisms of APOB in HCC have not been conclusively determined. We assessed APOB expression levels in HCC using three publicly available databases of TIMER2.0, UALCAN and Human Protein Atlas. To identify the biological function of APOB, we conducted enrichment analysis via LinkedOmics. Moreover, UALCAN was employed to assess the relationship between APOB expression and clinicopathological features among HCC patients. Additionally, the Kaplan–Meier plotter was utilized to investigate the prognostic relevance of APOB in HCC. To explore potential regulatory ncRNAs that could bind to APOB, we utilized StarBase and GEPIA. Furthermore, the correlation between APOB expression and immune cell infiltration, as well as immune checkpoint genes, was investigated using Spearman's correlation analysis in TISIDB, GEPIA, and TIMER2.0. The findings of our investigation showed a notable decrease in the expression levels of APOB among individuals diagnosed with HCC. Moreover, a noteworthy correlation was observed between the expression of APOB and immune checkpoint genes, alongside the occurrence of immune cell infiltration. The levels of APOB expression in HCC tissues also showed correlations with various clinicopathological features. According to Cox regression analysis, decreased APOB expression emerged as a potential autonomous predictor for OS, RFS, DSS, and PFS among HCC patients. Furthermore, we identified six potential pathways associated with non-coding RNA (ncRNA) as the most promising pathway for APOB in HCC. Our results illuminate the possible involvement of APOB in HCC and offer understanding into its governing mechanisms and medical importance.
Intratumoral metastasis of sigmoid colon cancer to chromophobe renal cell carcinoma: a case report
Authors: Sakai Suzuna , Ohba Kojiro , Migita Kazunari , Sekine Ichiro , Yamazaki Yasuto 
Published: February 2024

AbstractWe herein report an extremely rare case of intratumoral metastasis of colon cancer to chromophobe renal cell carcinoma. A 71-year-old woman was diagnosed with lung metastasis of sigmoid colon cancer and underwent sigmoid colon resection with D3 lymph node dissection. Preoperative contrast-enhanced computed tomography (CT) revealed a left renal tumor; however, colon resection was prioritized, and the renal tumor was placed under observation. Two years later, CT revealed enlargement of the left renal tumor, and laparoscopic partial left nephrectomy was performed 1 month later. Histopathologic examination showed that the resected renal tumor was a chromophobe renal cell carcinoma with intratumoral metastasis of colon cancer to the renal tumor center, and adjuvant chemotherapy with bevacizumab plus SOX (L-OHP + S-1) was initiated. Because of severe chemotherapy-induced fatigue and nausea, the patient was switched to bevacizumab + S-1. However, the patient’s nausea did not improve after this change, and postoperative adjuvant chemotherapy was discontinued at the patient’s request 4 months after the partial nephrectomy. Two months after discontinuation of chemotherapy, CT showed no renal recurrence; however, increased lung metastases and a new bone metastasis in the left sciatic bone were observed. Palliative treatment was then initiated because of severe adverse events that made it difficult to continue treatment. In patients who have multiple cancers and an increase in renal tumor size, the possibility of intratumoral metastasis to the renal tumor should be considered.
Knowledge mapping of trends and hotspots in the field of exercise and cognition research over the past decade
Authors: Zhu Ying-Hai , Hu Peng , Luo Ya-Xi , Yao Xiu-Qing 
Published: February 2024

AbstractExercise elicits a wide range of physiological responses in mammalian tissues that enhance a broad range of functions, particularly in improving cognitive performance. However, the field lacks a comprehensive bibliometric analysis that clarifies its knowledge structure and research hotspots. This study aims to address this gap and map the research landscape regarding the role of exercise in cognitive function enhancement. Firstly, the frequencies and co-occurrence of keywords were analysed to identify six main clusters: aging, cognitive impairment, rehabilitation, obesity, fatigue, and hippocampus. Secondly, reference timeline co-citation analysis revealed that hippocampus and aging were the major bursts with high intensity and long attention span while children had recently emerged as a topical subject. Finally, the evolution of themes from 2012 to 2022 was analysed, and found that older adults had been the leading research theme for exercise affecting cognition. Childhood obesity was an emerging theme that attracted increasing research attention in recent years while the hippocampus research theme expanded rapidly during the decade but remained a niche topic with less relevance to others. This research identified and summarised research priorities and evolutionary trends in exercise to improve cognition by constructing knowledge networks through visual analysis. It provides researchers with a comprehensive insight into the current state of the field to facilitate further research.
ICDM-GEHC: identifying cancer driver module based on graph embedding and hierarchical clustering
Authors: Deng Shiyu , Wu Jingli , Li Gaoshi , Liu Jiafei , Zhao Yumeng 
Published: February 2024

AbstractDue to the high heterogeneity of cancers, it is rather essential to explore driver modules with the help of gene mutation data as well as known interactions between genes/proteins. Unfortunately, latent false positive interactions are inevitable in the Protein-Protein Interaction (PPI) network. Hence in the presented method, a new weight evaluation index, based on the gene-microRNA network as well as somatic mutation profile, is introduced for weighting the PPI network first. Subsequently, the vertices in the weighted PPI network are hierarchically clustered by measuring the Mahalanobis distance of their feature vectors, extracted with the graph embedding method Node2vec. Finally, a heuristic process with dropping and extracting is conducted on the gene clusters to produce a group of gene modules. Numerous experiment results demonstrate that the proposed method exhibits superior performance to four cutting-edge identification methods in most cases regarding the capability of recognizing the acknowledged cancer-related genes, generating modules having relatively high coverage and mutual exclusivity, and are significantly enriched for specific types of cancers. The majority of the genes in the identified modules are involved in cancer-related signaling pathways, or have been reported to be carcinogenic in the literature. Furthermore, many cancer related genes detected by the proposed method are actually omitted by the four comparison methods, which has been verified in the experiments.
Multiscale analysis of fine slag from pulverized coal gasification in entrained-flow bed
Authors: Mao Lirui , Zheng Mingdong , Xia Baoliang , Jiao Facun , Liu Tao , Zhang Yuanchun , Gao Shengtao , Li Hanxu 
Published: February 2024

AbstractFine slag (FS) is an unavoidable by-product of coal gasification. FS, which is a simple heap of solid waste left in the open air, easily causes environmental pollution and has a low resource utilization rate, thereby restricting the development of energy-saving coal gasification technologies. The multiscale analysis of FS performed in this study indicates typical grain size distribution, composition, crystalline structure, and chemical bonding characteristics. The FS primarily contained inorganic and carbon components (dry bases) and exhibited a "three-peak distribution" of the grain size and regular spheroidal as well as irregular shapes. The irregular particles were mainly adsorbed onto the structure and had a dense distribution and multiple pores and folds. The carbon constituents were primarily amorphous in structure, with a certain degree of order and active sites. C 1s XPS spectrum indicated the presence of C–C and C–H bonds and numerous aromatic structures. The inorganic components, constituting 90% of the total sample, were primarily silicon, aluminum, iron, and calcium. The inorganic components contained Si–O-Si, Si–O–Al, Si–O, SO42−, and Fe–O bonds. Fe 2p XPS spectrum could be deconvoluted into Fe 2p1/2 and Fe 2p3/2 peaks and satellite peaks, while Fe existed mainly in the form of Fe(III). The findings of this study will be beneficial in resource utilization and formation mechanism of fine slag in future.
Soothing the Self-Threat of Idea Theft
Authors: Wheeler-Smith Sara L. , Moulton-Tetlock Edythe E. 
Published: February 2024

AbstractThe creative process has the potential to increase wellbeing and foster human flourishing (Dolan and Metcalfe, 2012; Forgeard and Eichner, 2014; O’Brien and Murray, 2015; Conner et al., 2018; Kaufman, 2018), yet has received little attention in the humanistic management literature. In this paper, we present three experiments showing that idea originators experience greater relationship conflict with counterparts who have committed perceived “idea theft”, i.e., proposed identical or related ideas. We test a model that identifies a mechanism—self-threat—that mediates the relationship between idea theft and relationship conflict and identifies an intervention to ameliorate that self-threat via self-affirmation. Study 1 demonstrates the idea originator’s attribution of malign attributions to, and negative moral emotions toward, the counterpart. Study 2 demonstrates that idea originators ostracize both those who propose identical ideas and those who propose merely related ideas. In Study 3, evidence for self-threat as the mechanism underlying the negative relational consequences is provided via both a direct test of mediation as well as via moderation by self-affirmation. Our research contributes to the nascent idea theft literature and suggests a way to reduce its negative consequences.
The Emerging Concept of the Human-Centered Organization: A Review and Synthesis of the Literature
Authors: Townsend Maya , Romme A. Georges L. 
Published: February 2024

AbstractBoth practitioners and scholars are increasingly interested in the idea of the human-centered organization. This term first appeared in the late 1950s and has gained attention in the last ten years. Awareness of the need for human-centeredness grew during the COVID-19 pandemic, in which many organizational leaders were compelled to focus on employee health, safety, and well-being. In this paper, we review and synthesize the rather fragmented scholarly and practitioner literature on human-centered organization (HCO) to develop an integrated definition and framework. The 26 sources reviewed in depth indicate that the HCO construct is primarily utilized in two ways. First, human-centered design scholars and practitioners conceive of HCOs as employing human-centered design practices. The second discourse involves the humanistic management and culture literature, which conceives of HCOs as embodying humanistic values and cultures. After reviewing these separate discourses, we synthesize them in an integrated definition as well as framework of HCO. The framework starts from humanistic values such as dignity, well-being, and justice, which are pivotal in creating organizational practices characterized by a common good purpose, positive human experiences on the job, team structures to coordinate work, and participatory tools and approaches.
Prognostic factors of poor outcomes in pneumonia in older adults: aspiration or frailty?
Authors: Yoshimatsu Yuki , Thomas Heledd , Thompson Trevor , Smithard David G. 
Published: February 2024

Abstract
Purpose
Little is known about the long-term and functional prognoses of older adults with pneumonia, which complicates their management. There is a common belief that aspiration is a poor prognostic factor; however, the diagnosis of aspiration pneumonia (AP) lacks consensus criteria and is mainly based on clinical characteristics typical of the frailty syndrome. Therefore, the poor prognosis of AP may also be a result of frailty rather than aspiration. This study investigated the impact of AP and other prognostic factors in older patients with pneumonia.

Methods
We performed a retrospective cohort study of patients aged 75 years and older, admitted with pneumonia in 2021. We divided patients according to their initial diagnosis (AP or non-AP), compared outcomes using Kaplan–Meier curves, and used logistic regression to identify independent prognostic factors.

Results
803 patients were included, with a median age of 84 years and 52.7% were male. 17.3% were initially diagnosed with AP. Mortality was significantly higher in those diagnosed with AP than non-AP during admission (27.6% vs 19.0%, p = 0.024) and at 1 year (64.2% vs 53.1%, p = 0.018), with survival analysis showing a median survival time of 62 days and 274 days in AP and non-AP, respectively (χ2 = 9.2, p = 0.002). However, the initial diagnosis of AP was not an independent risk factor for poor prognosis in multivariable analysis. Old age, frailty and cardio-respiratory comorbidities were the main factors associated with death.

Conclusion
The greater mortality in AP may be a result of increased frailty rather than the diagnosis of aspiration itself. This supports our proposal for a paradigm shift from making predictions based on the potentially futile labelling of AP or non-AP, to considering frailty and overall condition of the patient.
Infrastructuring Educational Genomics: Associations, Architectures, and Apparatuses
Authors: Williamson Ben , Kotouza Dimitra , Pickersgill Martyn , Pykett Jessica 
Published: February 2024

AbstractTechnoscientific transformations in molecular genomics have begun to influence knowledge production in education. Interdisciplinary scientific consortia are seeking to identify ‘genetic influences’ on ‘educationally relevant’ traits, behaviors, and outcomes. This article examines the emerging ‘knowledge infrastructure’ of educational genomics, attending to the assembly and choreography of organizational associations, epistemic architecture, and technoscientific apparatuses implicated in the generation of genomic understandings from masses of bioinformation. As an infrastructure of datafied knowledge production, educational genomics is embedded in data-centered epistemologies and practices which recast educational problems in terms of molecular genetic associations—insights about which are deemed discoverable from digital bioinformation and potentially open to genetically informed interventions in policy and practice. While scientists claim to be ‘opening the black box of the genome’ and its association with educational outcomes, we open the black box of educational genomics itself as a source of emerging scientific authority. Data-intensive educational genomics does not straightforwardly ‘discover’ the biological bases of educationally relevant behaviors and outcomes. Rather, this knowledge infrastructure is also an experimental ‘ontological infrastructure’ supporting particular ways of knowing, understanding, explaining, and intervening in education, and recasting the human subjects of education as being surveyable and predictable through the algorithmic processing of bioinformation.