bluuebunny/crossref_metadata_2025_split huggingface dataset:
AURKB promotes immunogenicity and immune infiltration in clear cell renal cell carcinoma
Authors: Liu Weihao , Liu Ying , Chen Shisheng , Hui Jialiang , He Shuhua 
Published: July 2024

Abstract
Background
Chromatin regulators (CRs) are capable of causing epigenetic alterations, which are significant features of cancer. However, the function of CRs in controlling Clear Cell Renal Cell Carcinoma (ccRCC) is not well understood. This research aims to discover a CRs prognostic signature in ccRCC and to elucidate the roles of CRs-related genes in tumor microenvironment (TME).

Methods
Expression profiles and relevant clinical annotations were retrieved from the Cancer Genome Atlas (TCGA) and UCSC Xena platform for progression-free survival (PFS) data. The R package "limma" was used to identify differentially expressed CRs. A predictive model based on five CRs was developed using LASSO-Cox analysis. The model's predictive power and applicability were validated using K-M curves, ROC curves, nomograms, comparisons with other models, stratified survival analyses, and validation with the ICGC cohort. GO and GSEA analyses were performed to investigate mechanisms differentiating low and high riskScore groups. Immunogenicity was assessed using Tumor Mutational Burden (TMB), immune cell infiltrations were inferred, and immunotherapy was evaluated using immunophenogram analysis and the expression patterns of human leukocyte antigen (HLA) and checkpoint genes. Differentially expressed CRs (DECRs) between low and high riskScore groups were identified using log2|FC|> 1 and FDR < 0.05. AURKB, one of the high-risk DECRs and a component of our prognostic model, was selected for further analysis.

Results
We constructed a 5 CRs signature, which demonstrated a strong capacity to predict survival and greater applicability in ccRCC. Elevated immunogenicity and immune infiltration in the high riskScore group were associated with poor prognosis. Immunotherapy was more effective in the high riskScore group, and certain chemotherapy medications, including cisplatin, docetaxel, bleomycin, and axitinib, had lower IC50 values. Our research shows that AURKB is critical for the immunogenicity and immune infiltration of the high riskScore group.

Conclusion
Our study produced a reliable prognostic prediction model using only 5 CRs. We found that AURKB promotes immunogenicity and immune infiltration. This research provides crucial support for the development of prognostic biomarkers and treatment strategies for ccRCC.
Establishing an oxidative stress mitochondria-related prognostic model in hepatocellular carcinoma based on multi-omics characteristics and machine learning computational framework
Authors: Wei Yitian , Ma Lujuan , Peng Qian , Lu Lin 
Published: July 2024

AbstractHepatocellular carcinoma (HCC) has high incidence and mortality rates worldwide. Damaged mitochondria are characterized by the overproduction of reactive oxygen species (ROS), which can promote cancer development. The prognostic value of the interplay between mitochondrial function and oxidative stress in HCC requires further investigation. Gene expression data of HCC samples were collected from The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) and International Cancer Genome Consortium (ICGC). We screened prognostic oxidative stress mitochondria-related (OSMT) genes at the bulk transcriptome level. Based on multiple machine learning algorithms, we constructed a consensus oxidative stress mitochondria-related signature (OSMTS), which contained 26 genes. In addition, we identified six of these genes as having a suitable prognostic value for OSMTS to reduce the difficulty of clinical application. Univariate and multivariate analyses verified the OSMTS as an independent prognostic factor for overall survival (OS) in HCC patients. The OSMTS-related nomogram demonstrated to be a powerful tool for the clinical diagnosis of HCC. We observed differences in biological function and immune cell infiltration in the tumor microenvironment between the high- and low-risk groups. The highest expression of the OSMTS was detected in hepatocytes at the single-cell transcriptome level. Hepatocytes in the high- and low-risk groups differed significantly in terms of biological function and intercellular communication. Moreover, at the spatial transcriptome level, high expression of OSMTS was mainly in regions enriched in hepatocytes and B cells. Potential drugs targeting specific risk subgroups were identified. Our study revealed that the OSMTS can serve as a promising tool for prognosis prediction and precise intervention in HCC patients.
Some remarks on cone-adapted shearlets
Authors: Dahlke Stephan , Teschke Gerd 
Published: July 2024

AbstractIn recent years, cone-adapted shearlets have been established as a powerful tool for the detection of directional information in images. It has also turned out that an interpretation of cone-adapted shearlets in the realm of coorbit space theory exists. Then, cone-adapted shearlets are defined by requiring a certain sparsity pattern of the frame expansion coefficients. In this note, we discuss some structural properties of these spaces.
Effects of Breastfeeding on Cognitive Abilities at 4 Years Old: Cohort Study
Authors: Vargas-Pérez Susana , Hernández-Martínez Carmen , Voltas Núria , Morales-Hidalgo Paula , Canals Josefa , Arija Victoria 
Published: July 2024

AbstractHuman breast milk dynamically adapts to meet the needs of healthy neurodevelopment. While a great deal of research has examined the relationship between breastfeeding, infant cognitive development and IQ, findings are inconclusive when potential confounders are adjusted for. This raises questions about the various ways in which breastfeeding and other crucial factors can impact on infant IQ and cognitive abilities. The main aim of this study was to analyse the relationship between breastfeeding and child IQ and cognitive abilities after adjusting for sociodemographic, perinatal and postnatal variables. The participants were 613 boys and girls aged 4–5 years old from two cohort studies carried out in Tarragona, Spain. IQ and cognitive abilities were assessed using the Wechsler Preschool and Primary Scale of Intelligence-IV (WPPSI-IV). Sociodemographic, prenatal, perinatal, and postnatal factors were collected. Descriptive analyses compared mother and infant characteristics by breastfeeding categories using Chi-squared and ANOVA tests. Regression models explored associations between breastfeeding duration and WPPSI-IV indexes. Breastfeeding from 1 to 8 months was related to higher scores on the Full-Scale IQ (b = 3.909, p = 0.035) and Working Memory Index (b = 3.757, p = 0.044), Non-Verbal Index (b = 4.184, p = 0.029), Cognitive Proficiency Index (b = 4.015, p = 0.038) at 4–5 years old, even after adjusting for the mother’s IQ and mother-infant attachment difficulties. Our study emphasizes the numerous advantages of breastfeeding and underscores the importance of infants being breastfed through healthcare and health policies. Advocating breastfeeding for the first six months of life is crucial for enhancing lifelong well-being and cognitive development in children.
Social-Ecological Correlates of Social Well-Being in Transgender and Gender Diverse Adults in the USA: Implications for Policy, Theory, and Research
Authors: Cramer Robert J. , Kaniuka Andréa R. , Tucker Raymond P. , Hanson Brenda , Fording Richard C. , Robertson Lee , Mesaeh Casey , Zabelski Sasha , Joiner Thomas 
Published: July 2024

Abstract
Introduction
Emerging transgender and gender diverse (TGD) health models focus on social well-being. The present study contributes to this movement through investigation of hate crime statutes, state-level political and anti-TGD attitudes, and multiple marginalized identities as correlates of social well-being (i.e., outness, community connection, and workplace and familial support).

Methods
The current study merged data from three sources: (a) the 2015 United States Transgender Survey (USTS), (b) the 2014 and 2018 Cooperative Congressional Election Studies (CCES), and (c) the 2018 Anti-Defamation League’s (ADL) Hate Crime Map. Bivariate (e.g., chi-square) and regression analyses were used to identify correlates of social well-being among TGD adults in the USA.

Results
All types of hate crime laws showed bivariate protective associations for outness and family support. Regression models showed that several marginalized identities (e.g., having a disability) were the most consistent and largest correlates of social well-being. Higher state-level anti-TGD attitudes were linked with lower familial support and outness. The presence of state-level hate crime law civil action and police training statutes was positively associated with outness.

Conclusions
The results extend the limited research on correlates of TGD social well-being. Findings support TGD health models addressing resilience and social safety. Future research should address hate crime law policy analysis, police training evaluation, and prospective testing of TGD social well-being.

Policy Implications
Hate crime laws, in particular civil action and police training statutes, may be associated with better outcomes for transgender and gender diverse (TGD) persons. Evaluation of hate crime law effectiveness may need to focus on implementation as opposed to mere presence of laws. Policies specific to police training should include guidelines for training content and rigorous evaluation.
Sociopsychology of Interindividual Relations and Institutions: Levels of Analysis, Events, Research, and Theory
Authors: Ardila-Sánchez José G. , López-López Wilson 
Published: July 2024

AbstractSociopsychology is a multidisciplinary field study of interindividual relations, namely, a molecular segment of institutional or social practices. This area of studies has had an important developments over the last 15 years. Several experimental studies have been published in English and Spanish. However, the primary theoretical work is published in Spanish, and for this reason there is a need to connect the theoretical analysis to non-Spanish speaking audiences. We provide a conceptual analysis of sociopsychology as a scientific enterprise considering five main types of scientific descriptions: (1) the subject matter as a distinctive event; (2) levels of description of the event; (3) the factors and types of events; (4) the basic operations, methods, instruments, and experimental designs, and (5) main premises about social behavior and social contingencies. Our aim is to critically examine the sociopsychological view of social systems. Contributions of sociopsychology to behavior analytic knowledge of social relations and culture are also considered.
Intelligent recognition of coal and gas outburst precursor and potential hazards using YOLOv8 neural network
Authors: Liu Xiaofei , Du Zinan , Wang Enyuan , Jiang Ao , Tian He , Wang Kaiyuan , Xiong Yinghao , Wang Heng 
Published: July 2024

AbstractFluctuations in gas emission or concentration at working face represent primary indicators of impending coal and gas outbursts, making them essential for monitoring processes. However, the direct use of original signals for predictive purposes may cause false warnings due to the inability to recognize valuable potential information. This can result in decreased prediction accuracy. Additionally, gas emission or concentration is affected by potential hazards such as sensor calibration, borehole spraying, and air duct damage, leading to complexity of their behavior and recognition process. This paper proposes an intelligent recognition method leveraging YOLOv8 neural network to discern coal and gas outburst precursors and potential hazards. By employing continuous wavelet transform (CWT) on the gas concentration signal processed by critical slowing down (CSD) method, a two-dimensional time–frequency representation is generated. This representation is then fed into YOLOv8 model to recognize the outburst precursor characteristics and potential hazards. The research results show that YOLOv8-based intelligent recognition adeptly identifies the relevant precursor characteristics and potential hazards, enhancing both coal mine safety protocols and the accuracy of early outburst warning mechanisms.
In the Mood for Food: Monotony, Boredom and Snacking During Work
Authors: Vasiļjeva Dārta , Nübold Annika , Nederkoorn Chantal , Hülsheger Ute R. 
Published: July 2024

AbstractAlthough unhealthy snacking may have detrimental consequences for employee health and organizational outcomes, the role of working conditions on snacking still remains poorly understood. Drawing from optimal arousal theory, we propose and test a conceptual model that explains how under-stimulating conditions of job monotony increase unhealthy snacking behaviors during work due to experienced boredom. Given that individual differences play an important role for eating behaviors, we further propose that trait mindfulness may moderate the relationship between daily work-related boredom and unhealthy snacking, as it can decrease impulsive reactions to boredom. Results from diary data across two workweeks (N = 105) confirmed the positive effect of daily job monotony on unhealthy snacking through work-related boredom. Supplementary analyses revealed that these results persisted above and beyond over-stimulating work stressors (daily workload) and alternative mediators (daily negative affect). Surprisingly, the protective nature of trait mindfulness was not confirmed by our results. The implications of our findings are discussed for theory and practice.
Numerical and experimental investigation of solute transports through different types of dialyzer membrane
Authors: Klahan Tarinthon , Pattamaprom Cattaleeya , Eiamsitrakoon Thanee , Pakdee Watit 
Published: July 2024

AbstractThe flow and mass transport through different membrane types from different hemodialyzers are investigated in a co-current direction to emphasize the effect of solute diffusion through the dialyzer membranes. The numerical model consists of the blood flowing in a hollow fiber surrounded by a dialysate flow, where the mass transport and fluid flow were simultaneously calculated. The high flux dialyzers considered in the present study are FINEFLUX FIX-210S eco, ELISIO-210HR, and PEPA FDY-21B, which differ mainly in characteristics of the membrane structure and surface. Urea and maltodextrin solutions are used as model solutes to consider the effect of molecular size difference. The numerically predicted outlet concentrations closely align with experimental values, where the variation between predicted and measured values remain below 10% across all dialyzer types for urea solutions, and specifically below 8% for maltodextrin solution. Among the various dialyzers tested, FINEFLUX membrane could provide the highest maltodextrin clearance (83.09 ml/min) and overall mass transfer area coefficient (KoA) (119.56 ml/min) potentially due to its fast-diffusion characteristic. In this co-current flow study, the results suggest that urea transport is primarily influenced by flow control with minimal impact from boundary layers, while maltodextrin transport is predominantly governed by diffusion control.
Interactions of antidepressants with concomitant medications—safety of complex therapies in multimorbidities
Authors: Dołoto Anna , Bąk Ewelina , Batóg Gabriela , Piątkowska-Chmiel Iwona , Herbet Mariola 
Published: July 2024

AbstractDepression is the fourth most serious disease in the world. Left untreated, it is a cause of suicide attempts, emergence or exacerbation worsening of serious diseases, bodily and mental disorders, as well as increased risk of cardiovascular diseases, stroke, diabetes, and obesity, as well as endocrine and neurological diseases. Frequent coexistence of depression and other diseases requires the simultaneous use of several drugs from different therapeutic groups, which very often interact and intensify comorbidities, sometimes unrelated mechanisms. Sufficient awareness of potential drug interactions is critical in clinical practice, as it allows both to avoid disruption of proper pharmacotherapy and achieve substantive results. Therefore, this review aims to analyze the interactions of antidepressants with other concomitant medications. Against the backdrop of experimental research and a thorough analysis of the up-to-date literature, the authors discuss in detail the mechanisms and effects of action of individual drug interactions and adaptogens, including the latest antidepressants.
Engineering and microstructural properties of environmentally friendly alkali-activated composites containing clinker aggregate: heat-curing regime and elevated-temperature effect
Authors: Bayrak Barış , İpek Süleyman , Alcan Haluk Görkem , Kaplan Gökhan , Aydın Abdulkadir Cüneyt , Güneyisi Erhan 
Published: July 2024

AbstractThe common wisdom in the literature about clinker aggregate (CA) is that it improves the performance properties of mortar or concrete to some extent. The current study, in this context, investigated the physical characteristics and mechanical performances of alkali-activated composites (AACs) made entirely with CA. The CA was used in three particle sizes of 0–2 mm (named No.10), 2–4 mm (named No.5), and 4–8 mm (named medium). To examine the impact of the fine CA-size fraction on the characteristics of AAC, No.10 CA was partially replaced by No.5 CA up to 50%, while the content of the medium CA was kept constant in all AAC mixtures. Moreover, to evaluate the influence of the 8-h curing temperature on the performance of the AACs, different temperature-based curing strategies (ambient, 45, and 75 °C) were applied to the AACs. In the production of AACs, granulated blast furnace slag was employed as an aluminosilicate-rich raw material, and a sodium silicate and sodium hydroxide combination was used as an alkaline activator. Physical properties (flowability, water absorption, capillary water absorption, and dry unit weight), and 8-h strength performances (flexural and compressive) were determined. Furthermore, to monitor the influence of high temperatures on the characteristics of the AAC, the mixtures were exposed to elevated temperatures (200, 500, and 800 °C). In SEM image analysis, it was determined that spherical CSH gels were formed in the heat-cured AACs. It has been observed that the geopolymerization products decompose in AACs exposed to 800 °C. To evaluate statistically the experimental results, a multi-factor analysis of variance (ANOVA) was also applied. The results revealed that increasing the coarser fine aggregate fraction led to higher water absorption and apparent porosity capacities and lower unit weight. Besides, strength performance was improved by applying a heat-curing strategy to the AAC, whereas a decrease was observed by increasing the No.5 CA fraction. There was a remarkable reduction in compressive strength and considerable loss of mass when the AAC mixes were exposed to high temperatures.
Pseudodifferential Operators on Noncommutative Tori: A Survey
Authors: Jiménez Carolina Neira 
Published: July 2024

AbstractThis article presents a survey of recent developments on pseudodifferential operators on noncommutative tori. We describe currently available constructions of those operators: by means of a $$C^{*}$$

C

∗

-dynamical system, by using an analogue of the Fourier series representation of a function in the (commutative) torus $$C^\infty ({\mathbb {T}}^n)$$

C
∞

(

T

n

)

, as Rieffel deformations of the standard pseudodifferential operators on $$C^\infty ({\mathbb {T}}^n)$$

C
∞

(

T

n

)

, and in association to certain spectral triples.
Analysis of organic and mineral nitrogen, total organic carbon and humic fractions in Ferralsols: an approach using Vis-NIR-SWIR, MIR and X-ray fluorescence spectroscopy
Authors: de Lima Bruna Coelho , dos Santos Carlos H. , Tiritan Carlos S. , Demattê José A. M. , Gomez Andres M. R. , Albarracín Heidy S. R. , A. Bartsch Bruno 
Published: July 2024

AbstractThis work aimed to develop suitable predictive models for ammonium, nitrate, total nitrogen, total organic carbon and soil humic fractions, for Ferralsols, using Vis-NIR-SWIR, MIR and X-ray fluorescence spectroscopic techniques in conjunction with machine learning algorithms, Cubist, PLSR, Random Forest and Support Vector Machine. Chemical analyzes were carried out to determine nitrate, total nitrogen, total organic carbon and chemical fractionation of soil organic matter, as well as spectral analyzes using Vis-NIR-SWIR spectroscopy, MIR and X-ray fluorescence. The spectroscopy results were processed using RStudio v. 4.1.3, applying Cusbist, PLSR, Random Forest and Support Vector Machine machine learning algorithms to create predictive models and describe spectral curves and Pearson correlation. Of the prediction models developed for nitrogen, total organic carbon and humic fractions, the PLSR and Support Vector Machine algorithms presented the best predictive performances. The descriptive analysis of the spectra identified the main absorption bands and the location of the bands sensitive to the attributes of interest. The correlation analysis proposed that the use of Vis-NIR-SWIR, MIR and XRF spectroscopic techniques were effective in predicting the contents of nitrogen, total organic carbon and humic fractions in soil with a medium sandy texture. However, it is important to highlight that each technique has its characteristic mechanism of action, Vis-NIR-SWIR and MIR detect the element based on overtones and fundamental tones, while XRF is based on the atomic number of the elements or elemental association.
The agricultural decision process in a small tank cascade system in Sri Lanka: diagnosing options for adaptive governance
Authors: Kekulandala Bhathiya , Jacobs Brent , Cunningham Rebecca 
Published: July 2024

AbstractSmall Tank Cascade Systems (STCS) are interconnected small reservoirs constructed in shallow valleys in the dry zone of Sri Lanka. STCS have assumed heightened significance for their potential contribution to climate adaptation of agricultural systems. Local communities managed STCS to store water by capturing seasonal rain and cultivating crops that suited local conditions over millennia. The British colonial centralisation of STCS governance led to the degradation and deterioration of STCS. Contemporary water governance literature identifies STCSs as complex multifunctional systems. Adaptive co-management (ACM) approaches can reconcile complex resource governance issues by combining co-management with co-governance. We studied Palugaswewa STCS in North Central Sri Lanka to explore farmer and government officials' views, perceptions, knowledge, and experiences about agricultural decision-making including current governance, issues, and proposed improvements seeking evidence for ACM in practice. We interviewed eleven farmers and four extension officials selected from the analysis preceding this research. Our results show that an informal decision process (pre-cultivation meeting) precedes and informs the formal decision process (cultivation meeting), farmers use their collective knowledge and experience to anticipate seasonal weather and plan cultivation, and government officials facilitate a community-led decision process with institutional limitations. We concluded that the informal process compensates for the lack of timely meteorological information, allows space for sharing and co-development of knowledge and facilitates ACM. Future governance interventions in STCS need to recognise informal processes that drive decision-making, provide timely user-centred meteorological information, and rethink legal frameworks at local and national levels to provide flexibility for local farmers.