bluuebunny/crossref_metadata_2025_split huggingface dataset:
On the integration of decision trees with mixture cure model
Authors: Aselisewine Wisdom , Pal Suvra 
Published: July 2023

AbstractThe mixture cure model is widely used to analyze survival data in the presence of a cured subgroup. Standard logistic regression‐based approaches to model the incidence may lead to poor predictive accuracy of cure, specifically when the covariate effect is non‐linear. Supervised machine learning techniques can be used as a better classifier than the logistic regression due to their ability to capture non‐linear patterns in the data. However, the problem of interpret‐ability hangs in the balance due to the trade‐off between interpret‐ability and predictive accuracy. We propose a new mixture cure model where the incidence part is modeled using a decision tree‐based classifier and the proportional hazards structure for the latency part is preserved. The proposed model is very easy to interpret, closely mimics the human decision‐making process, and provides flexibility to gauge both linear and non‐linear covariate effects. For the estimation of model parameters, we develop an expectation maximization algorithm. A detailed simulation study shows that the proposed model outperforms the logistic regression‐based and spline regression‐based mixture cure models, both in terms of model fitting and evaluating predictive accuracy. An illustrative example with data from a leukemia study is presented to further support our conclusion.
Boosting Sensitivity and Durability of Pressure Sensors Based on Compressible Cu Sponges by Strengthening Adhesion of “Rigid‐Soft” Interfaces
Authors: Wang Haoran , Dou Xiaoqiang , Wang Zheng , Liu Zihan , Ye Qian , Guo Ruisheng , Zhou Feng 
Published: July 2023

AbstractThe interface adhesion plays a key role between rigid metal and elastomer in compressible and stretchable conductors. However, the poor interfacial adhesion hinders their wide applications. To strengthen the interface adhesion, herein, a combination strategy of structure interlocking and polymer bridging is designed by introducing a method of subsurface‐initiated atom transfer radical polymerization (sSI‐ATRP). This method can make polymer brush root in polydimethylsiloxane (PDMS) subsurface, on this basis, metals further grow from subsurface to surface of PDMS via electroless deposition. As a result, the adhesive strength (≈2.5 MPa) between metal layer and PDMS elastomer is 4 times higher than that made by common polymer modification. As a demonstration, pressure sensor is constructed by using as‐prepared compressible 3D Cu sponge as a top electrode and paper‐based interdigited metal electrode as a bottom electrode. The device sensitivity can reach up to 961.2 kPa−1 and the durability can arrive at 3 000 cycles without degradation. Thus, this proposed interface‐enhancement strategy for rigid‐soft materials can significantly promote the performance of piezoresistive pressure sensors based on 3D conductive sponge. In the future, it would also be expanded to the fabrication of stretchable conductors and extensively applied in other flexible and wearable electronics.
Artificial Post‐Cycled Structure Modulation Towards Highly Stable Li‐Rich Layered Cathode
Authors: Han Xiao , Liu Ailin , Wang Shihao , Liu Yuanyuan , Li Saichao , Zhang Yinggan , Zheng Hongfei , Sa Baisheng , Wang Laisen , Lin Jie , Qu Baihua , Xie Qingshui , Peng Dong‐Liang 
Published: July 2023

AbstractHigh‐capacity Li‐rich layered oxides (LLOs) suffer from severe structure degradation due to the utilization of hybrid anion‐ and cation‐redox activity. The native post‐cycled structure, composed of progressively densified defective spinel layer (DSL) and intrinsic cations mixing, is deemed as the hindrance of the rapid and reversible de/intercalation of Li+. Herein, the artificial post‐cycled structure consisting of artificial DSL and inner cations mixing is in situ constructed, which would act as a shield against the irreversible oxygen emission and undesirable transition metal migration by suppressing anion redox activity and modulating cation mixing. Eventually, the modified DSL‐2% Li‐rich cathode demonstrates remarkable electrochemical properties with a high discharge capacity of 187 mAh g−1 after 500 cycles at 2 C, and improved voltage stability. Even under harsh operating conditions of 50 °C, DSL‐2% can provide a high discharge capacity of 168 mAh g−1 after 250 cycles at 2 C, which is much higher than that of pristine LLO (92 mAh g−1). Furthermore, the artificial post‐cycled structure provides a novel perspective on the role of native post‐cycled structure in sustaining the lattice structure of the lithium‐depleted region and also provides an insightful universal design principle for highly stable intercalated materials with anionic redox activity.
Isolation and Characterization of Colon Targeting Starch from the Non‐Conventional Source of Jharkhand, India
Authors: Roy Dipan , Kumar Kuradi Jayaram 
Published: July 2023

AbstractStaple foods are generally the conventional sources of starch. The exploration of non‐conventional and cheap sources of starch has gained momentum. In the present study, starch from mankanda (Alocaisa macrrorhizos) tubers is isolated by using base, NaOH 0.05%, w/w sodium hydroxide extracted starch (NAS) and acidic (citric acid 0.03%; Citric acid extracted starch (CAS) media and evaluated for its physicochemical, structural, thermal, rheological, and release profile. The %yield of NAS and CAS starch is found to be 8.14% and 7.28%, with neutral pH, high water holding capacity, moisture content, amylose content, low ash values, restricted swelling, and excellent flow. The granules of the starches are irregular, with a diameter ranging from 1.34 to 16.12 µm. X‐ray diffraction (XRD) analysis reveals the combination of type A and B crystal. Fourier Transform Infrared Spectroscopy (FT‐IR) spectra of both starch samples are almost found to be similar in nature. Thermogravimetric analysis (TGA) and differential scanning colorimetric (DSC) analysis indicate good thermal stability. Both starches exhibit shear thinning behavior. In vitro drug release studies reflect that the extracted native starch from mankanda tubers has an immense potential for the development of sustained release formulations to target the lower gastrointestinal region like the colon by protecting the drug from the physiological environment of the stomach and small intestine.
Challenges in implementing sustainable construction
Authors: Cramer Jacqueline 
Published: July 2023

AbstractIn response to the alarming environmental problems, there is a pressing need for a fundamental shift towards sustainable construction. However, limited attention has been given in the literature to the governance of this transformative change. The paper aims to address this research gap by investigating how the transition to sustainable construction can be realized despite the barriers encountered. The analysis focuses on the Dutch Building Agreement Steel as an illustrative case. By examining the governance structure of the Agreement and evaluating its results thus far, the study concludes that a collaborative network of partners has effectively developed a roadmap and performed accompanying activities to achieve the intended objectives. Nonetheless, a key challenge lies in mobilizing the entire construction steel chain and the government during the upcoming scale‐up phase to actively adhere to the Agreement. This new form of network governance, facilitated by an independent intermediary, does not replace traditional public governance; rather, it complements it. The approach tested in the Netherlands holds potential for application in other contexts as well.
What makes anglers happy: A sentiment analysis of Walleye angler forums in the United States
Authors: Vacura Kirsten , Camp Edward , Venturelli Paul 
Published: July 2023

Abstract

Objective
We hypothesized online text can provide insight into the satisfaction of anglers who post on online forums.

Methods
We applied sentiment analysis to almost 3 years of management-related posts on online angling forums to estimate the long-term satisfaction of Walleye Sander vitreus anglers in nine U.S. states.

Result
Sentiment varied fourfold among states. Consistent with the literature, our random forest model found that sentiment increased with angler density, bag limit, and season length. Relatively unimportant factors were fishing license cost, the frequency of special Walleye regulations, the degree to which management agencies communicated with anglers through social media, and the importance of angling to the state economy.

Conclusion
Our results support the hypothesis that online text can provide insight into the satisfaction of anglers who post on online forums. This work contributes to a growing interest in exploring and validating the use of online data within systems of harvest management and governance.
Smoking and colorectal neoplasia in patients with inflammatory bowel disease: Dose‐effect relationship
Authors: Wijnands Anouk M. , Elias Sjoerd G. , Dekker Evelien , Fidder Herma H. , Hoentjen Frank , ten Hove Joren R. , Maljaars P. W. Jeroen , van der Meulen‐de Jong Andrea E. , Mooiweer Erik , Ouwehand Renske J. , Penning de Vries Bas B. L. , Ponsioen Cyriel Y. , van Schaik Fiona D. M. , Oldenburg Bas ,   Dutch Initiative on Crohn's and Colitis (ICC)
Published: July 2023

AbstractBackground and AimsPrior studies on the effect of smoking on the risk of colitis‐associated colorectal neoplasia (CRN) have reported conflicting results. We aimed to further elucidate the association between smoking, including possible dose‐effects, and the development of colorectal neoplasia in patients with inflammatory bowel disease (IBD).MethodsWe performed a prospective multicenter cohort study including patients with colonic IBD enrolled in a surveillance program in four academic hospitals between 2011 and 2021. The effects of smoking status and pack‐years at study entry on subsequent recurrent events of CRN (including indefinite, low‐ and high‐grade dysplasia, and colorectal cancer [CRC]) were evaluated using uni‐ and multivariable Prentice, Williams, and Peterson total‐time Cox proportional hazard models. Adjustment was performed for extensive disease, prior/index dysplasia, sex, age, first‐degree relative with CRC, primary sclerosing cholangitis, and endoscopic inflammation.ResultsIn 501 of the enrolled 576 patients, at least one follow‐up surveillance was performed after the study index (median follow‐up 5 years). CRN occurred at least once in 105 patients. Ever smoking was not associated with recurrent CRN risk (adjusted hazard ratio [aHR] 1.04, 95% confidence interval [CI] 0.75–1.44), but an increasing number of pack‐years was associated with an increased risk of recurrent CRN (aHR per 10 pack‐years 1.17, 95% CI 1.03–1.32; p < 0.05). Separate analyses per IBD type did not reveal differences.ConclusionsThis study found that an increase in pack‐years is associated with a higher risk of recurrent CRN in patients with IBD, independent of established CRN risk factors (NCT01464151).
Dog owners’ awareness of and motivations towards pet cadaver donation
Authors: Tracey Kira , Aktan Ílknur 
Published: July 2023

AbstractBackgroundAnimal cadavers still play an essential role in veterinary education. Many veterinary schools would like to participate in pet cadaver donation schemes for many reasons, including ethical resourcing of cadavers, but finding owners willing to donate their pet is challenging. The aim of this study was to investigate dog owners’ awareness of pet cadaver donation.MethodsThe study was conducted using Jisc online surveys with the survey being distributed via social media. In total, 708 people answered a 10‐question online questionnaire.ResultsThe most common reason given for why a dog owner might donate was to assist in the education of future veterinarians (n = 396, 56%). When asked to rank the options given to them upon the passing of their pet, single animal cremation was overwhelmingly the participants' favoured option (n = 483, 68.2%).LimitationsFactors that might affect the findings, such as religion, financial status and cultural differences, were not explored in this study.ConclusionsThe only incentive shown to increase the likelihood of pet owners donating to a pet cadaver scheme was the return their pet's ashes to them after the cadaver had served its purpose. This study revealed that dog owners currently have very little knowledge of pet cadaver donation.
Morphological and histological study of the third eyelid in hedgehogs
Authors: Shakibapour Erfan , Paryani Mohammadreza 
Published: July 2023

AbstractBackgroundThe third eyelid in animals plays an important role in maintaining eye health. Like other organs of the body, the third eyelid can be afflicted with minor or deep injuries, inflammations or even tumours in different species.ObjectiveThe current study investigates the morphological and histological characteristics of the third eyelid in hedgehogs.MethodsEight healthy adult hedgehogs (male and female) weighing 500–700 g were included in this study. Deceased animals were used for this study. Few incisions were applied around the eye and eye socket. The eye was removed, and the samples were fixated in 10% formalin solution to prepare for the histological study. To evaluate the morphological characteristics, the third eyelid was placed in 2% and 4% formalin solutions.ResultsThe histological study revealed that the third eyelid cartilage is an elastic cartilage and includes chondroblasts and chondrocytes. The cells of this cartilage were either distributed individually or in isogenic groups. The bulbar and palpebral surfaces of the eyelids were devoid of any glands and were covered with a non‐keratinized stratified squamous epithelium. The anatomical examination also showed that the third eyelid had an oval‐shaped cartilage.ConclusionsComparing the results of this study with reports on other rodents showed that the morphological and histological structure of the cartilage in the hedgehog's third eyelid is mostly like the structure of this tissue in Indian mongoose (Herpestes javanicus).
Evaluation of synthetic data generation for intelligent climate control in greenhouses
Authors: Morales-García Juan , Bueno-Crespo Andrés , Terroso-Sáenz Fernando , Arcas-Túnez Francisco , Martínez-España Raquel , Cecilia José M. 
Published: July 2023

AbstractWe are witnessing the digitalization era, where artificial intelligence (AI)/machine learning (ML) models are mandatory to transform this data deluge into actionable information. However, these models require large, high-quality datasets to predict high reliability/accuracy. Even with the maturity of Internet of Things (IoT) systems, there are still numerous scenarios where there is not enough quantity and quality of data to successfully develop AI/ML-based applications that can meet market expectations. One such scenario is precision agriculture, where operational data generation is costly and unreliable due to the extreme and remote conditions of numerous crops. In this paper, we investigated the generation of synthetic data as a method to improve predictions of AI/ML models in precision agriculture. We used generative adversarial networks (GANs) to generate synthetic temperature data for a greenhouse located in Murcia (Spain). The results reveal that the use of synthetic data significantly improves the accuracy of the AI/ML models targeted compared to using only ground truth data.
Lipid Metabolism-Related Gene Markers Used for Prediction Prognosis, Immune Microenvironment, and Tumor Stage of Pancreatic Cancer
Authors: Shu Yuan , Huang Haiqiang , Gao Minjie , Xu Wenjie , Cao Xiang , Jia Xiaoze , Deng Bo 
Published: July 2023

AbstractRecently, more and more evidence shows that lipid metabolism disorder has been observed in tumor, which impacts tumor cell proliferation, survival, invasion, metastasis, and response to the tumor microenvironment (TME) and tumor treatment. However, hitherto there has not been sufficient research to demonstrate the role of lipid metabolism in pancreatic cancer. This study contrives to get an insight into the relationship between the characteristics of lipid metabolism and pancreatic cancer. We collected samples of patients with pancreatic cancer from the Gene Expression Omnibus (GEO), the Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and the International Cancer Genome Consortium (ICGC) databases. Firstly, we implemented univariate regression analysis to get prognosis-related lipid metabolism genes screened and a construction of protein–protein interaction (PPI) network ensued. Then, contingent on our screening results, we explored the molecular subtypes mediated by lipid metabolism-related genes and the correlated TME cell infiltration. Additionally, we studied the disparately expressed genes among disparate lipid metabolism subtypes and established a scoring model of lipid metabolism-related characteristics using the least absolute shrinkage and selection operator (LASSO) regression analysis. At last, we explored the relationship between the scoring model and disease prognosis, tumor stage, tumor microenvironment, and immunotherapy. Two subtypes, C1 and C2, were identified, and lipid metabolism-related genes were studied. The result indicated that the patients with subtype C2 have a significantly lower survival rate than that of the patients with subtype C1, and we found difference in abundance of different immune-infiltrating cells. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses revealed the association of these differentially expressed genes with functions and pathways related to lipid metabolism. Finally, we established a scoring model of lipid metabolism-related characteristics based on the disparately expressed genes. The results show that our scoring model have a substantial effect on forecasting the prognosis of patients with pancreatic cancer. The lipid metabolism model is an important biomarker of pancreatic cancer. Using the model, the relationship between disease prognosis, molecular subtypes, TME cell infiltration characteristics, and immunotherapy in pancreatic cancer patients could be explored.
DNA barcode-based survey documents underestimated diversity and intricate phylogeographic patterns of aquatic Heteroptera in an endangered Balkan biodiversity hotspot: ancient Lake Skadar basin
Authors: Rewicz Tomasz , Tończyk Grzegorz , Trębicki Łukasz , Gadawski Piotr , Mamos Tomasz , Pešić Vladimir , Zawal Andrzej , Grabowski Michał 
Published: July 2023

AbstractLake Skadar with its surrounding springs, wetlands and larger affluents is among the most diverse freshwater ecosystems in the Mediterranean region and a key biodiversity/endemism hotspot in Europe. It is also highly endangered due to climate change and rapid tourism development in the area. Being abundant, diverse and mostly predatory, true aquatic bugs play an important role in the functioning of freshwater ecosystems and are used as indicators of aquatic habitat quality. Nevertheless, this taxonomic group has been scarcely studied in the area. Our survey provides the first comprehensive DNA barcode library for 24 out of 25 species of aquatic Heteroptera collected in the Skadar Lake basin and adjacent regions. By this, we extend the list of species known from the area by 60%. In the case of three species, Notonecta maculata, Hydrometra stagnorum and Nepa cinerea, we detected multiple highly divergent, and also new BINs indicating possible taxonomic inconsistencies, the potential for (pseudo)cryptic diversity and intricate phylogeographic patterns. We show that presumably well-known hotspots, such as Lake Skadar region, are heavily understudied regarding even the prominent insect taxa and, thus, particularly vulnerable to undocumented biodiversity loss. Finally, we underline the value of simple DNA-barcoding-based surveys for providing reference barcode libraries for effective biomonitoring and signalling taxonomic and biogeographic issues.
Innovation of argan (Argania spinosa (L.) Skeels) products and byproducts for sustainable development of rural communities in Morocco. A systematic literature review
Authors: Santoro Antonio , Ongoma Victor , Ait el Kadi Moussa , Piras Francesco , Fiore Beatrice , Bazzurro Alessandra , Romano Federica , Meskour Brahim , Hssaisoune Mohammed , Labbaci Adnane , Tairi Abdellaali , Chfadi Tarik , Bouchaou Lhoussaine 
Published: July 2023

AbstractArgan tree is endemic of Moroccan arid regions, providing socioeconomic and cultural benefits since ancient times. This study identifies the emerging threats for the argan forest, and the opportunities related to the innovative uses of argan products and byproducts. Argan forest is facing pressure from overgrazing, demand for argan oil and nuts, and land degradation, despite its recognition as a UNESCO Biosphere Reserve and the inclusion in the FAO Globally Important Agricultural Heritage Systems (GIAHS) Programme. Innovative use and recycling of the waste deriving from argan nuts processing, offer promising opportunities to support a local bio-economy. Argan press cake can be used to integrate livestock feeding, to extract sudan dyes or to produce bioplastics. Argan nut shells can be used to produce environment-friendly and low-cost purifying materials and biochar, or as a source of bioenergy. Argan pulp can be used for bioethanol production or to obtain natural insect repellent. Despite these promising opportunities, the socio-economic impact of innovative uses is still limited. Local population is not sufficiently involved in management and development strategies. To support the sustainable development of local communities, it is necessary to promote a participative approach as well as training and product differentiation among argan women cooperatives.
Metacognitive Transmission Between Parents and Children in the Context of Anxiety Disorders
Authors: Köcher Laura Marie , Schlömer-Böttner Silke , Christiansen Hanna 
Published: July 2023

AbstractOne in ten children is affected by an anxiety disorder. Current state of research shows that transgenerational transmission as well as positive (POS) and negative (NEG) metacognitive beliefs are relevant in the context of anxiety disorders in youth. We investigated whether transgenerational transmission is also evident in conjunction with POS and NEG and cross-sectionally surveyed POS, NEG, anxiety symptoms and worry in 8-16-year-old children and adolescents with anxiety disorders (n = 71) and non-clinical controls (n = 40) and one of their parents. Our results revealed significant transgenerational correlations for NEG in both samples, and for POS in the non-clinical sample only. Mediation analysis showed that children’s NEG did at least partly mediate the relationship between parents’ NEG and children’s anxiety and worry. Children’s and parents’ POS did not correlate in either sample with children’s anxiety and worry. Further research on the transgenerational transmission of metacognition and longitudinal data is needed.