bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scaling of the Clustering Function in Spatial Inhomogeneous Random Graphs
Authors: van der Hofstad Remco , van der Hoorn Pim , Maitra Neeladri 
Published: June 2023

AbstractWe consider an infinite spatial inhomogeneous random graph model with an integrable connection kernel that interpolates nicely between existing spatial random graph models. Key examples are versions of the weight-dependent random connection model, the infinite geometric inhomogeneous random graph, and the age-based random connection model. These infinite models arise as the local limit of the corresponding finite models. For these models we identify the asymptotics of the local clustering as a function of the degree of the root in different regimes in a unified way. We show that the scaling exhibits phase transitions as the interpolation parameter moves across different regimes. This allows us to draw conclusions on the geometry of a typical triangle contributing to the clustering in the different regimes.
Understanding the Predictors of Low Take-Up of the Special Supplemental Nutrition Program for Women, Infants, and Children (WIC): A Nationwide Longitudinal Study
Authors: Guan Alice , Batra Akansha , Seligman Hilary , Hamad Rita 
Published: June 2023

Abstract
Introduction
The Special Supplemental Nutrition Program for Women, Infants, and Children (WIC) is among the largest U.S. social safety net programs. Although strong evidence exists regarding the benefits of WIC, take-up (i.e., participation among eligible individuals) has steadily declined in the past decade. This study addresses gaps in our knowledge regarding predictors of WIC take-up during this time.

Methods
Data were drawn from the 1998–2017 waves of the National Health Interview Study (NHIS), a serial cross-sectional study of the U.S. population. The analytic sample included 23,645 children and 10,297 women eligible for WIC based on self-reported demographic characteristics. To investigate predictors of WIC take-up, we regressed self-reported WIC receipt on a range of individual-level predictors (e.g., age, nativity, income) and state- level predictors (e.g., unemployment rate, governor’s political affiliation) using multivariable logistic regression. In secondary analyses, results were additionally stratified by race/ethnicity, time period, and age (for children).

Results
For both women and children, older maternal age and higher educational attainment were associated with decreased take-up of WIC. Associations differed by race/ethnicity, time period, and state characteristics including caseload of other social programs (e.g., Medicaid).

Discussion
Our study identifies groups that are less likely to take up WIC benefits for which they are eligible, thereby contributing important evidence to inform programs and policies to increase WIC participation among groups with lower take-up. As WIC evolves past the COVID-19 pandemic, special attention will be needed to ensure that resources to encourage and support the participation of racially and economically marginalized individuals are equitably distributed.
Wastewater early warning system for SARS-CoV-2 outbreaks and variants in a Coruña, Spain
Authors: Trigo-Tasende Noelia , Vallejo Juan A. , Rumbo-Feal Soraya , Conde-Pérez Kelly , Vaamonde Manuel , López-Oriona Ángel , Barbeito Inés , Nasser-Ali Mohammed , Reif Rubén , Rodiño-Janeiro Bruno K. , Fernández-Álvarez Elisa , Iglesias-Corrás Iago , Freire Borja , Tarrío-Saavedra Javier , Tomás Laura , Gallego-García Pilar , Posada David , Bou Germán , López-de-Ullibarri Ignacio , Cao Ricardo , Ladra Susana , Poza Margarita 
Published: June 2023

Abstract
Wastewater-based epidemiology has been widely used as a cost-effective method for tracking the COVID-19 pandemic at the community level. Here we describe COVIDBENS, a wastewater surveillance program running from June 2020 to March 2022 in the wastewater treatment plant of Bens in A Coruña (Spain). The main goal of this work was to provide an effective early warning tool based in wastewater epidemiology to help in decision-making at both the social and public health levels. RT-qPCR procedures and Illumina sequencing were used to weekly monitor the viral load and to detect SARS-CoV-2 mutations in wastewater, respectively. In addition, own statistical models were applied to estimate the real number of infected people and the frequency of each emerging variant circulating in the community, which considerable improved the surveillance strategy. Our analysis detected 6 viral load waves in A Coruña with concentrations between 103 and 106 SARS-CoV-2 RNA copies/L. Our system was able to anticipate community outbreaks during the pandemic with 8–36 days in advance with respect to clinical reports and, to detect the emergence of new SARS-CoV-2 variants in A Coruña such as Alpha (B.1.1.7), Delta (B.1.617.2), and Omicron (B.1.1.529 and BA.2) in wastewater with 42, 30, and 27 days, respectively, before the health system did. Data generated here helped local authorities and health managers to give a faster and more efficient response to the pandemic situation, and also allowed important industrial companies to adapt their production to each situation. The wastewater-based epidemiology program developed in our metropolitan area of A Coruña (Spain) during the SARS-CoV-2 pandemic served as a powerful early warning system combining statistical models with mutations and viral load monitoring in wastewater over time.
Having a Partner or Living with a Partner: Differences in Life Satisfaction and Mental Health
Authors: Evans Ann , Gray Edith , Reimondos Anna 
Published: June 2023

AbstractUsing longitudinal data from Australia we compare the wellbeing effects of transitions both into and out relationships, using two different measures of wellbeing: life satisfaction and mental health. We distinguish between the formation, and ending of, three different types of relationships across three years: Living-apart-together (LAT), cohabitations, and marriages. For those in LAT relationships, we find they are quite distinct from other ‘single’ people. Starting, or ending, a LAT relationship has a significant impact on an individual’s wellbeing. We also find that transitions into relationships, and transitions out of relationships, do not have equivalent effects. Generally, moving from a relationship to being single had a more significant negative impact on life satisfaction and mental health, than moving into a relationship had a positive impact. These findings suggest that having an intimate partner, even one who is not co-resident, is related to higher levels of wellbeing compared to having no partner.
“Stop crying your heart out”: how failed founders can use emotional failure narratives
Authors: Spieth Patrick , Klusmann Christian D. , Klein Sascha 
Published: June 2023

AbstractFailed founders experience very intense emotions resulting from their entrepreneurial failure. Since many founders are not discouraged by failure and consider founding a subsequent startup, the need to deal with the stigma attached to failed founders. Applying an experimental research design, this study investigates how failed founders can use emotional failure narratives to approach potential co-founders for their subsequent venture project. We demonstrate that the use of failure narratives that contain both negative and positive emotions lead to higher perceived attractiveness of a failed founder’s new startup attempt among potential co-founders than either purely negative or positive emotional failure narratives.
Geometric Reliability of Super-Resolution Reconstructed Images from Clinical Fetal MRI in the Second Trimester
Authors: Ciceri Tommaso , Squarcina Letizia , Pigoni Alessandro , Ferro Adele , Montano Florian , Bertoldo Alessandra , Persico Nicola , Boito Simona , Triulzi Fabio Maria , Conte Giorgio , Brambilla Paolo , Peruzzo Denis 
Published: June 2023

AbstractFetal Magnetic Resonance Imaging (MRI) is an important noninvasive diagnostic tool to characterize the central nervous system (CNS) development, significantly contributing to pregnancy management. In clinical practice, fetal MRI of the brain includes the acquisition of fast anatomical sequences over different planes on which several biometric measurements are manually extracted. Recently, modern toolkits use the acquired two-dimensional (2D) images to reconstruct a Super-Resolution (SR) isotropic volume of the brain, enabling three-dimensional (3D) analysis of the fetal CNS.We analyzed 17 fetal MR exams performed in the second trimester, including orthogonal T2-weighted (T2w) Turbo Spin Echo (TSE) and balanced Fast Field Echo (b-FFE) sequences. For each subject and type of sequence, three distinct high-resolution volumes were reconstructed via NiftyMIC, MIALSRTK, and SVRTK toolkits. Fifteen biometric measurements were assessed both on the acquired 2D images and SR reconstructed volumes, and compared using Passing-Bablok regression, Bland-Altman plot analysis, and statistical tests.Results indicate that NiftyMIC and MIALSRTK provide reliable SR reconstructed volumes, suitable for biometric assessments. NiftyMIC also improves the operator intraclass correlation coefficient on the quantitative biometric measures with respect to the acquired 2D images. In addition, TSE sequences lead to more robust fetal brain reconstructions against intensity artifacts compared to b-FFE sequences, despite the latter exhibiting more defined anatomical details.Our findings strengthen the adoption of automatic toolkits for fetal brain reconstructions to perform biometry evaluations of fetal brain development over common clinical MR at an early pregnancy stage.
A semi-supervised coarse-to-fine approach with bayesian optimization for lithology identification
Authors: Xie Yunxin , Jin Liangyu , Zhu Chenyang , Wu Siyu 
Published: June 2023

AbstractLithology identification is critical in the interpretation of well-logging data for petroleum exploration and development. However, the limited availability of labeled well-logging data for machine learning model training can lead to compromised accuracy in lithology classification models. Here, we propose a semi-supervised lithology identification model to overcome this challenge. Our framework consists of Bayesian optimization for tuning ensemble algorithms, including random forest, gradient boosting decision tree, extremely randomized trees, and adaptive boosting, to establish a high-quality baseline model for semi-supervised learning. We also employ a self-training strategy to increase the number of labeled samples in the training set and use the predicted label with the highest confidence as a pseudo-label to reduce the accumulation of deviation caused by incorrect pseudo-labels. Our semi-supervised coarse-to-fine framework improves rock classification accuracy, particularly for sandstone. Testing our model on well-logging data from two real regions, we found that the ExtraRF-based semi-supervised model in the HGF area performs the best, with a maximum classification accuracy of 91.6$$\%$$
%
, which is 5$$\%$$
%
higher than the original coarse-to-fine model without using Bayesian optimization and pseudo-labeling techniques.
Correction of systematic errors in electronic performance and tracking systems
Authors: Schmid Marc , Lames Martin 
Published: June 2023

AbstractElectronic performance and tracking systems are becoming a standard in many sports to automate data collection and gather more profound insights into performance and game dynamics. In large soccer clubs and federations, the problem is that different electronic performance and tracking systems report different kinematic parameters and performance indicators, which should be the same. Furthermore, a drawback in recent validation studies is the subdivision of speed and acceleration zones in validating the systems, as we show that the kinematic parameters are interdependent. We propose a new method to classify multidimensional validation outputs with a clustering approach. Additionally, we offer a data-driven strategy to reduce errors between distinct systems when data from different electronic performance and tracking systems are compared and show the method’s effectiveness with data collected in a validation study. This error reduction strategy can be applied to correct errors when no validation data is available.
Brief interviews with hideous stone: a glimpse into the butchery site of Isernia La Pineta — a combined technological and use-wear approach on the lithic tools to evaluate the function of a Lower Palaeolithic context
Authors: Carpentieri Marco , Berruti Gabriele L. F. , Titton Stefania , Arzarello Marta , Peretto Carlo 
Published: June 2023

AbstractThe onset of the Middle Pleistocene (780 ka) in the European continent is associated with significant environmental variations (Middle Pleistocene Revolution), innovative behavioural strategies (bifacial productions, land-use patterns, raw material management) and a global increase in the archaeological evidence from 600 ka onward. Whether these changes are related to the rise of the Acheulean, the informative potential carried by these contexts is currently being explored through multidisciplinary approaches, allowing us to infer the role of these sites and the type of activities conducted. From this perspective, the Italian peninsula is a hot spot to compare the different technical behaviours and strategies human groups employ, given its crucial geographic location and solid archaeological record, both culturally and functionally speaking (the presence of sites with and without bifaces and core-and-flake assemblages). The site of Isernia La Pineta (590 ka), offering a rich lithic and faunal record, is an excellent case to join together the lithic technological study (i.e. “cultural” and technical tradition) with the functional analysis (i.e. activities conducted and exploited materials). Here, we present the result of the combined approach of these two disciplines on flint assemblages from layers t.3a and t.3coll. The new data will be discussed within the chrono-cultural framework of the Middle Pleistocene Revolution, linking the degree of complexity of the lithic production of Isernia with its function as a butchery site.
AMG-510 and cisplatin combination increases antitumor effect in lung adenocarcinoma with mutation of KRAS G12C: a preclinical and translational research
Authors: Wu Lei-Lei , Jiang Wen-Mei , Liu Zhi-Yuan , Zhang Yi-Yi , Qian Jia-Yi , Liu Yu’e , Huang Yang-Yu , Li Kun , Li Zhi-Xin , Ma Guo-Wei , Xie Dong 
Published: June 2023

Abstract
Background
The efficacy of monotherapy of AMG-510 is limited. This study explored whether the AMG-510 and cisplatin combination increases the anti-tumor effect in lung adenocarcinoma with the mutation of Kirsten rat sarcoma viral oncogene (KRAS) G12C.

Methods
Patients’ data were used to analyze the proportion of KRAS G12C mutation. Besides, the next-generation sequencing data was used to uncover information about co-mutations. The cell viability assay, the concentration inhibiting 50% of cell viability (IC50) determination, colony formation, and cell-derived xenografts were conducted to explore the anti-tumor effect of AMG-510, Cisplatin, and their combination in vivo. The bioinformatic analysis was conducted to reveal the potential mechanism of drug combination with improved anticancer effect.

Results
The proportion of KRAS mutation was 2.2% (11/495). In this cohort with KRAS mutation, the proportion of G12D was higher than others. Besides, KRAS G12A mutated tumors had the likelihood of concurrent serine/threonine kinase 11 (STK11) and kelch-like ECH-associated protein 1 (KEAP1) mutations. KRAS G12C and tumor protein p53 (TP53) mutations could appear at the same time. In addition, KRAS G12D mutations and C-Ros oncogene 1 (ROS1) rearrangement were likely to be present in one tumor simultaneously. When the two drugs were combined, the respective IC50 values were lower than when used alone. In addition, there was a minimum number of clones among all wells in the drug combination. In in vivo experiments, the tumor size reduction in the drug combination group was more than twice that of the single drug group (p < 0.05). The differential expression genes were enriched in the pathways of phosphatidylinositol 3 kinase-protein kinase B (PI3K-Akt) signaling and extracellular matrix (ECM) proteoglycans compared the combination group to the control group.

Conclusions
The anticancer effect of the drug combination was confirmed to be better than monotherapy in vitro and in vivo. The results of this study may provide some information for the plan of neoadjuvant therapy and the design of clinical trials for lung adenocarcinoma patients with KRAS G12C mutation.
Investigation on the interactions of resinous and asphaltenic synthetic oils and silicon oxide nanoparticles stabilized by different ionic liquid-based surfactants: interfacial tension and wettability alteration studies
Authors: Dahham Nawfal Adnan , Abbood Nabeel K. , Hosseini Seyednooroldin , Golab Elias Ghaleh 
Published: June 2023

AbstractThe effects of the main components of crude oil, especially resin and asphaltene fractions, are essential concerns for efficient enhanced oil recovery (EOR) processes, especially during chemical injection processes. This importance comes from the nature of these two fractions which can act as surface active agents with undeniable effects on the used chemical for interfacial tension (IFT) reduction and wettability alteration. In this way, the effect of silicon oxide nanoparticles (SiO2-NPs) concomitant with two ionic liquids (ILs), namely 1-dodecyl-3-methyl imidazolium chloride ([C12mim][Cl]) and 1-octadecyl-3-methyl imidazolium chloride ([C18mim][Cl]), is investigated on the wettability alteration and IFT reduction using synthetic oils prepared by dissolving the extracted resin and asphaltene fractions with a concentration of 1–5 wt%. The measurements reveal that the effect of resin fraction is less than the asphaltene fraction for IFT reduction and wettability alteration. The sole presence of resin fraction reduces the IFT from 35.3 to 28.3 mN/m as the concentration is increased from 1 to 5 wt%, while a similar increase in the asphaltene fraction concentration reduces the IFT from 35.5 to 19.1 mN/m. Besides, the results reveal that the presence of [C12mim][Cl] in the range of 0–1000 ppm leads to a reduction in IFT from its maximum value of 35.3 to 0.81 mN/m, while in the case of [C18mim][Cl] with similar concentration variation, IFT is reduced from 35.3 to 0.7 which means the better effect of IL with longer chain length on the IFT reduction. Further analysis revealed that the effect of asphaltene fraction on the IFT is higher than resin fraction since the minimum IFT value was observed for [C18mim][Cl] with the value of 0.58 mN/m, while the contact angle (CA) values revealed revers effect for asphaltene fraction compared with the resin fraction. In general, regardless of the used IL, it seems that ILs leading to better wettability conditions which are crucial for EOR purposes and even better IFT values that can mobilize the trapped oil toward production points. Besides, further measurements revealed a positive effect of SiO2-NPs concomitant with the ILs to move the wettability toward the strongly water-wet condition with CA values of 29.2° and 28.3° for SiO2-NPs concentration of 1000 ppm and 1000 ppm of concentration for [C12mim][Cl] and [C18mim][Cl], respectively, for resinous synthetic oil (RSO) (5 wt%) while no meaningful effect regarding the SiO2-NPs presence at the different concentrations (100–2000 ppm) is found on the IFT reduction. A similar trend is observed for asphaltenic synthetic oil (5 wt%)/aqueous solution (SiO2-NPs with a concentration of 1000 ppm + ILs with a concentration of 1000 ppm) which reduces the CA to 26.3° and 37.8° for [C12mim][Cl] and [C18mim][Cl]), respectively.
Aspergillus flavus biomass catalytic lipid modification: optimization of cultivation conditions
Authors: Elhussiny Nadeem I. , El-Refai Heba A. , Mohamed Sayeda S. , Shetaia Yousseria M. , Amin Hala A. , Klöck Gerd 
Published: June 2023

AbstractStandardization of the cultivation conditions is crucial for producing fungal biomass with effective whole-cell catalytic activity. Aspergillus flavus mutant was optimized for biomass transesterification and hydrolysis of waste frying oil (WFO) as a substrate. The glucose-polypeptone medium was selected among other culture media as the primary medium for the optimization of submerged cultivation. Biomass lipolytic activities and growth of A. flavus were higher under shaking conditions compared to static conditions, and 200 rpm was optimum. Olive oil was superior to soybean, rapeseed, and waste frying oils as biomass lipase and transesterification activities inducer. Replacing glucose with sugar cane molasses enhanced the growth but inhibited the biomass lipolytic capabilities. Urea improved the biomass lipolytic capabilities as an N-source feedstock compared to corn-steep liquor and whey. Plackett Burman screening of 9 factors showed that KH2PO4 (0.1–0.9 %, w/v), urea (0.1–1.3 %, w/v), and glucose (0.5–3.5 %, w/v) concentrations were significant factors with the highest main effect estimates 38.45, −19.04, and 11.82, respectively. These factors were selected for response surface methodology (RSM) optimization using central composite design (CCD). CCD models for growth, biomass lipase activity, and transesterification capability were significant, with R2 values of 0.93, 0.91, and 0.95, respectively. The optimum concentrations for growth and biomass transesterification capability were glucose (4.5 %, w/v), urea (0.7 %, w/v), and KH2PO4 (0.9 %, w/v), and those for lipase activity of the biomass were glucose (4.4 %, w/v), urea (0.7 %, w/v), and KH2PO4 (2.1 %, w/v).
Sabotage, Collusion, and Being a Feeder: Towards a New Model of Negative Social Support and Its Impact on Weight Management
Authors: Ogden Jane , Quirke-McFarlane Sophia 
Published: June 2023

Abstract

Purpose of Review

Whilst research indicates the positive impact of social support across a number of health domains, including weight management, not all social support is beneficial.

Recent Findings

This paper reviews the evidence for both positive and negative social support in the context of behavioural interventions and surgery for obesity. It then presents a new model of negative social support focusing on sabotage (‘active and intentional undermining of another person’s weight goals’), feeding behaviour (‘explicit over feeding of someone when they are not hungry or wishing not to eat’), and collusion (‘passive and benign negative social support to avoid conflict’) which can be conceptualised within the context of relationships as systems and the mechanisms of homeostasis.

Summary

There is increasing evidence for the negative impact of social support. This new model could form the basis of further research and the development of interventions for family, friends, and partners to maximise weight loss outcomes.