bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Climate on Photovoltaic Yield Prediction Using Machine Learning Models
Authors: Alcañiz Alba , Lindfors Anders V. , Zeman Miro , Ziar Hesan , Isabella Olindo 
Published: October 2022

AbstractMachine learning is arising as a major solution for the photovoltaic (PV) power prediction. Despite the abundant literature, the effect of climate on yield predictions using machine learning is unknown. This work aims to find climatic trends by predicting the power of 48 PV systems around the world, equally divided into four climates. An extensive data gathering process is performed and open‐data sources are prioritized. A websitewww.tudelft.nl/open-source-pv-power-databaseshas been created with all found open data sources for future research. Five machine learning algorithms and a baseline one have been trained for each PV system. Results show that the performance ranking of the algorithms is independent of climate. Systems in dry climates depict on average the lowest Normalized Root Mean Squared Error (NRMSE) of 47.6 %, while those in tropical present the highest of 60.2 %. In mild and continental climates the NRMSE is 51.6 % and 54.5 %, respectively. When using a model trained in one climate to predict the power of a system located in another climate, on average systems located in cold climates show a lower generalization error, with an additional NRMSE as low as 5.6 % depending on the climate of the test set. Robustness evaluations were also conducted that increase the validity of the results.
Health profiles of older nursing home residents by suicidal ideation: A latent class analysis
Authors: Yuan Yiyang , Barooah Adrita , Lapane Kate L. , Mack Deborah , Rothschild Anthony J. , Ulbricht Christine M. 
Published: October 2022

AbstractObjectivesIdentify the health profiles of older nursing home residents with and without at‐admission self‐reported suicidal ideation (SI) and examine the association between the identified profiles and self‐reported SI at 90 days.MethodsUsing the Minimum Data Set 3.0 and the ninth Patient Health Questionnaire‐9 (PHQ‐9) item, we identified 15,277 older residents with and 562,184 without self‐reported SI at nursing home admission. Latent class analysis, using frailty, cognitive impairment, palliative care index, pain, and remaining PHQ‐9 items as indicators, identified health profiles by at‐admission SI and the BCH method estimated their association with SI at 90 days.ResultsProfiles identified for residents without at‐admission SI were: (1) frail and depressedNoSI (prevalence: 33.9%); (2) frail and severe cognitive impairmentNoSI (38.1%); (3) pre‐frailNoSI (28.0%). Residents in the frail and depressedNoSI group had greater odds [adjusted OR: 2.80; 95% Confidence Interval: 2.60–3.00] while those in the frail and severe cognitive impairmentNoSI group had lower odds [aOR: 0.79; 95% CI: 0.71–0.86] of 90‐day SI than those in the pre‐frailNoSI group. Profiles identified for residents with at‐admission SI were: (1) frail and all depressive symptomsSI (22.8%); (2) frail and some depressive symptomsSI (32.2%); (3) frail and severe cognitive impairmentSI (22.9%); (4) pre‐frailSI (22.0%). Compared to those in the pre‐frailSI group, residents in the frail and all depressive symptomsSI group had greater odds of continuing reporting SI at 90 days [aOR: 1.22; 95% CI:1.09–1.35].ConclusionsFindings indicated unique health profiles of nursing home residents at higher risk of new onset of or continued SI.
FFCAEs: An efficient feature fusion framework using cascaded autoencoders for the identification of gliomas
Authors: Gudigar Anjan , Raghavendra U. , Rao Tejaswi N. , Samanth Jyothi , Rajinikanth Venkatesan , Satapathy Suresh Chandra , Ciaccio Edward J. , Wai Yee Chan , Acharya U. Rajendra 
Published: October 2022

AbstractIntracranial tumors arise from constituents of the brain and its meninges. Glioblastoma (GBM) is the most common adult primary intracranial neoplasm and is categorized as high‐grade astrocytoma according to the World Health Organization (WHO). The survival rate for 5 and 10 years after diagnosis is under 10%, contributing to its grave prognosis. Early detection of GBM enables early intervention, prognostication, and treatment monitoring. Computer‐aided diagnostics (CAD) is a computerized process that helps to differentiate between GBM and low‐grade gliomas (LGG), using the perceptible analysis of magnetic resonance (MR) of the brain. This study proposes a framework consisting of a feature fusion algorithm with cascaded autoencoders (CAEs), referred to as FFCAEs. Here we utilized two CAEs and extracted the relevant features from multiple CAEs. Inspired by the existing work on fusion algorithms, the obtained features are then fused by using a novel fusion algorithm. Finally, the resultant fused features are classified with the Softmax classifier to arrive at an average classification accuracy of 96.7%, which is 2.45% more than the previously best‐performing model. The method is shown to be efficacious thus, it can be useful as a utility program for doctors.
Associations between body mass index, weight loss and overall survival in patients with advanced lung cancer
Authors: Oswalt Cameron , Liu Yingzhou , Pang Herbert , Le‐Rademacher Jennifer , Wang Xiaofei , Crawford Jeffrey 
Published: October 2022

AbstractBackgroundWeight loss (WL) has been associated with shorter survival in patients with advanced cancer, while obesity has been associated with longer survival. Integrating body mass index (BMI) and WL provides a powerful prognostic tool but has not been well‐studied in lung cancer patients, particularly in the setting of clinical trials.MethodsWe analysed patient data (n = 10 128) from 63 National Cancer Institute sponsored advanced non‐small cell lung cancer (NSCLC) and small cell lung cancer (SCLC) trials. Risk matrices were created using BMI and WL percentage, which were divided into ‘grades’ based on median survival. Relationships between survival, BMI and WL percentage were examined using Kaplan–Meier estimators and Cox proportional hazards (PH) models with restricted cubic splines.ResultsFor NSCLC, a twofold difference was noted in median survival between the BMI > 28 and WL ≤ 5% group (13.5 months) compared with the BMI < 20 and WL > 5% group (6.6 months). These associations were less pronounced in SCLC. Kaplan–Meier curves showed significant survival differences between grades for both NSCLC and SCLC (log‐rank, P < 0.0001). In Stage IV NSCLC, Cox PH analyses with restricted cubic splines demonstrated significant associations between BMI and survival in both WL ≤ 5% (P = 0.0004) and >5% (P = 0.0129) groups, as well as in WL > 5% in Stage III (P = 0.0306). In SCLC, these relationships were more complex.ConclusionsBMI and WL have strong associations with overall survival in patients with advanced lung cancer, with a greater impact seen in NSCLC compared with SCLC. The integration of a BMI/WL grading scale may provide additional prognostic information and should be included in the evaluation of therapeutic interventions in future clinical trials in advanced lung cancer.
Corrosion performance of nano‐treated aluminum alloy A206 with TiC nanoparticles
Authors: Pan Shuaihang , Yuan Jie , Moodispaw Michael P. , Linsley Chase , Liu Jingke , Luo Alan A. , Taub Alan , Li Xiaochun 
Published: October 2022

AbstractA206 aluminum alloy is an important Al‐cast alloy with high mechanical strength. However, its dependence on θ′‐phase for effective strengthening raises concern for its anti‐corrosion performance in service. This paper systematically studies nano‐treating A206 with TiC nanoparticles to investigate its effects on overall corrosion behavior. Immersion tests and electrochemical measurements have been used to understand the nano‐treating contributions to the improved corrosion resistance of A206 under T4 and T6 heat treatment. The results indicate that the pseudo‐dispersion of TiC at or near the grain boundary (GB) and precipitates strengthens the GBs, and more rapid passivation near the TiC‐dense zone introduces a more uniform corrosion feature. The uniform corrosion with rapid passivation greatly facilitates the corrosion control of nano‐treated A206 under T4 and T6 heat treatment, allowing supreme anti‐corrosion stability for high‐strength A206 alloy.
Thermal Properties of Graphene Nanoplatelets Reinforced Crosslinked and Short Chain Branched Polyethylenes for Geothermal Pipe Applications
Authors: Kourtidou Dimitra , Tarani Evangelia , Bikiaris Dimitrios N. , Chrissafis Konstantinos 
Published: October 2022

AbstractTwo types of polyethylenes, the crosslinked high‐density polyethylene (PEX) and the short‐chain branched medium‐density polyethylene (polyethylene of raised temperature resistance [PE‐RT]), are selected as matrices for graphene nanoplatelets (GNPs) nanocomposites preparation (PEX/GNPs, PE‐RT/GNPs). The melt‐mixing technique is used to synthesize the nanocomposites containing various loadings of GNPs. Differential scanning calorimetry (DSC) is employed to study the effect of the GNPs on the melting and crystallization behavior of the prepared materials. The thermal stability of the nanocomposites was evaluated by thermogravimetric analysis (TGA). Laser flash analysis (LFA) is used to estimate the thermal conductivity of both PEX and PE‐RT/GNPs nanocomposites. TGA measurements reveal that PEX nanocomposites present decreased thermal stability with increasing filler content. The DSC results show that the crystallinity of both matrices increases with increasing filler content. PEX/GNPs nanocomposites show more significant thermal conductivity augmentation compared to the corresponding PE‐RT nanocomposites.
A Thermoplastic Elastomeric Nanofibrous Membrane as CFRP Modifier to Boost Both Delamination and Damping Performance
Authors: Maccaferri Emanuele , Mazzocchetti Laura , Benelli Tiziana , Brugo Tommaso Maria , Zucchelli Andrea , Giorgini Loris 
Published: October 2022

AbstractIn the present work, thermoplastic elastomeric nanofibers made up of a homogenous blend of nitrile butadiene rubber (NBR) and Ppolycaprolactone (CL), with 80% wt of rubbery component, are used to modify a carbon fiber reinforced polymer (CFRP) laminate with the aim of improving its delamination and damping behavior at the same time. Since the nanofibrous membrane is not chemically cross‐linked, the fibrous morphology is lost during composite curing owing to its melting. Nonetheless, the nanomodified CFRP displays an impressive ability to improve the delamination resistance in mode I and also an enhanced damping capacity at low temperature. The use of nanofibrous membranes allows for modification of specifically selected areas, thus maximizing the toughening and damping behavior where most required, without necessarily affecting the whole bulk of the resin. Both PCL and NBR components contribute to the final performance; however, the very high amount of rubber leads to a membrane difficult to handle whose final performance in CFRP modification is not superior to membranes up to 60% wt NBR that are instead more stable and easier to deal with. Overall, the proposed results are nonetheless very promising, taking into account also that the improved delamination resistance in mode I and enhanced damping are obtained without significantly sacrificing the weight and overall dimension of the obtained composite.
A New Biocomposite Material Based on Wheat Waste and Suitable for 3D Printing Applications
Authors: Giani Niccolò , Mazzocchetti Laura , Benelli Tiziana , Bovo Marco , Gazzotti Stefano , Torreggiani Daniele , Tassinari Patrizia , Giorgini Loris 
Published: October 2022

AbstractBiopolymers, such as poly(lactic) acid (PLA), which is obtained through green synthesis pathways from renewable resources, has attracted considerable interest in recent years because of the increasing need to reduce petroleum‐based plastic pollution and bringing their prices comparable with conventional thermoplastic commodities’ price (e.g., polyethylene, polypropylene, and polystyrene). The present work investigates the employment of 10% wt of natural materials, deriving from wheat milling process, as biofiller of PLA to develop a biocomposite filament suitable for 3D‐printing technique. The inclusion of a cost‐free natural material leads to a strong reduction of the whole material cost. Implementing this new class of composite material to additive manufacturing technique allows to dramatically reduce the environmental impact of 3D printed products.
Effect on the Thermo‐Gelation Process of the Degree and Molar Substitution of HPMC Polymer Hydrogels
Authors: Perez‐Robles Saray , Carotenuto Claudia , Minale Mario 
Published: October 2022

AbstractHydroxypropyl methylcellulose (HPMC) is a polymer made of a cellulose backbone with etherified methoxy and hydroxypropyl substitutions that undergoes a reversible inverse thermo‐gelation upon heating. The thermo‐gelation follows a two‐step mechanism: first, phase separation occurs, then fibrils, formed in the polymer‐rich phase, entangle to form the three‐dimensional gel network. This work aims at understanding the influence of degree (DS) and molar substitution (MS) on the thermo‐gelation process. DS is the number of methyl groups, and the MS is the hydroxypropyl content per anhydroglucose unit. The thermo‐gelation process is here rheologically investigated for two HPMC samples, which have similar molecular weight but different MS and DS: thermal ramps are coupled with time sweep tests at selected temperatures and with frequency sweep experiments. Results show an important effect not only on the transition temperatures (beginning of the phase separation, beginning of the gelation) but also on the kinetics of the different phases of the process.
Effects of Dietary Fiber on the Risk of Gestational Diabetes Mellitus in Advanced Maternal Age Women: Study Protocol for a Randomized Controlled Trial
Authors: Zhang Dongyao , Sheng Jing , Chen Li , Cheng Decui , Cao Yannan , Su Yao , Jiang Ying , Liu Wenyu , Yu Yuexin , Jia Haoyi , He Pengyuan , Wang Li , Xu Xianming 
Published: October 2022

ScopeTo investigate whether dietary fiber supplementation may reduce the risk of gestational diabetes mellitus (GDM) in advanced maternal age Chinese women (≥35 years). Secondary outcomes include glucose metabolism, diet change, weight gain, and maternal and neonatal outcomes.Methods and resultsIn a randomized controlled trial, a dietary fiber group (19.56 g day−1) or control group (standard prenatal care) was conducted from 20 to 24+6 gestational weeks in advanced maternal age women. Dietary intakes were assessed using a validated 39‐item Food Frequency Questionnaire (FFQ). GDM was diagnosed by a 75 g oral glucose tolerance test (OGTT) at 25–28 weeks. After intervention, the incidence of GDM was not significantly different between groups (21.6% vs 12.9%, p = 0.165). The mean increased in carbohydrate intake in the dietary fiber group is significantly lower than in the control group (−0.94 ± 92.12 g vs 32.27 ± 91.81 g, p = 0.032). In addition, the glucose tolerance, weight gain between 20 and 25 weeks, and preterm birth in the intervention group have improved compared to the control group.ConclusionSupplementation with dietary fiber during pregnancy among advanced maternal age Chinese women do not lower the incidence of GDM, but improve glucose metabolism, gestational weight gain, and preterm birth.
An application of the nonprofit virtual accountability index: Accountability in sport for development and peace
Authors: Svensson Per G. , Naraine Michael L. 
Published: October 2022

AbstractIn this research note, we examine web‐based accountability practices of human service nonprofits. Data were collected directly from the organizational websites of an international sample of 532 organizations involved in operating sport for social change programs, more commonly known as the field of sport for development and peace. Websites were coded using the nonprofit virtual accountability index—a theoretically grounded and robust tool—to measure information and interactivity available for stakeholders across five dimensions of accountability. Analyses of variance and independent t‐tests were used to test potential group differences based on geographical region, the thematic types of social change efforts, and the type of sport used to deliver programming. The results of this analysis highlight the critical importance of geographical location and other organizational variables for web‐based accountability practices. Furthermore, the results allow nonprofit leaders to identify common areas in need of improvement for smaller and emerging nonprofits.
Interpreting the mammal deposits of Cloggs Cave (SEAustralia),GunaiKurnaiAboriginal Country, through community‐led partnership research
Authors: McDowell Matthew C. , David Bruno , Mullett Russell , Fresløv Joanna ,   GunaiKurnai Land and Waters Aboriginal Corporation, Delannoy Jean‐Jacques , Mialanes Jerome , Thomas Cath , Ash Jeremy , Crouch Joe , Petchey Fiona , Buettel Jessie , Arnold Lee J. 
Published: October 2022

AbstractPalaeontological animal bone deposits are rarely investigated through research partnerships where the local First Nations communities have a defining hand in both the research questions asked and the research processes. Here we report research undertaken through such a partnership approach at the iconic archaeological site of Cloggs Cave (GunaiKurnai Country, East Gippsland), in the southern foothills of SE Australia's Great Dividing Range.A new excavation was combined with detailed chronometric dating, high‐resolution 3D mapping and geomorphological studies. This allowed interpretation of a sequence of stratigraphic layers spanning from a lowermost excavated mixed layer dated to between 25,640 and 48,470 cal BP, to a dense set of uppermost, ash layers dated to between 1460 and 3360 cal BP. This long and well‐dated chronostratigraphic sequence enabled temporal trends in the abundant small mammal remains to be examined.The fossil assemblage consists of at least 31 taxa of mammals which change in proportions through time. Despite clear evidence that the Old Ancestors repeatedly carried vegetation into the cave to fuel cool fires (no visible vegetation grows in Cloggs Cave), we observed little to no evidence of cooking fires or calcined bone, suggesting that people had little involvement with the accumulation of the faunal remains. Small mammal bones were most likely deposited in the cave by large disc‐faced owls,Tyto novaehollandae(Masked Owl) orTyto tenebricosa(Sooty Owl).Despite being well dated and largely undisturbed, the Cloggs Cave assemblage does not appear to track known Late Quaternary environmental change. Instead, the complex geomorphology of the area fostered a vegetation mosaic that supported mammals with divergent habitat preferences. The faunal deposit suggests a local ancestral landscape characterised by a resilient mosaic of habitats that persisted over thousands of years, signalling that the Old Ancestors burned landscape fires to encourage and manage patches of different vegetation types and ages within and through periods of climate change.Read the freePlain Language Summaryfor this article on the Journal blog.
Psychosocial predictors of fear of cancer recurrence in a cohort of gynecologic cancer survivors
Authors: Mell Carlie A. , Jewett Patricia I. , Teoh Deanna , Vogel Rachel I. , Everson‐Rose Susan A. 
Published: October 2022

AbstractObjectiveTo describe fear of cancer recurrence in a cohort of women with gynecologic cancers and to identify psychosocial predictors of elevated fear of recurrence.MethodsSurvey data from an ongoing cohort study of gynecologic cancer survivors were used (n = 154). Relationships between fear of cancer recurrence measured by the 6‐item Cancer Worry Scale in the most recent survey and psychosocial factors (cancer‐related distress, depression, anxiety, hopelessness, and posttraumatic growth) assessed 6–18 months prior were examined using univariate and multivariate linear regression models, adjusting for age, cancer stage, cancer type, and time since diagnosis.ResultsMost participants were ≥60 years old, diagnosed with early‐stage cancer, and 2–5 years post‐diagnosis. The mean score on the Cancer Worry Scale was 10.31 (SD = 3.01), and 46 individuals (30.0%) scored ≥12, indicating high fear of recurrence. In univariate analyses, greater distress (p = 0.007), anxiety (p = 0.006), hopelessness (p = 0.007), and posttraumatic growth (p = 0.0006) were significantly associated with higher scores on the Cancer Worry Scale. The associations of hopelessness and posttraumatic growth with higher Cancer Worry Scale scores remained significant after adjustment for covariates.ConclusionsFear of recurrence is frequent among gynecologic cancer survivors. Women who reported more distress, hopelessness, anxiety and, surprisingly, more post‐traumatic growth reported more fear. These results contribute to our understanding of which cancer survivors are most at risk of elevated fear of recurrence and highlight the importance of continued focus on psychosocial well‐being among cancer survivors.
Safe and robust data‐driven cooperative control policy for mixed vehicle platoons
Authors: Lan Jianglin , Zhao Dezong , Tian Daxin 
Published: October 2022

AbstractThis article considers mixed platoons consisting of both human‐driven vehicles (HVs) and automated vehicles (AVs). The uncertainties and randomness in human driving behaviors highly affect the platoon safety and stability. However, most existing control strategies are either for platoons of pure AVs, or for special formations of mixed platoons with known HV models. This article addresses the control of mixed platoons with more general formations and unknown HV models. An innovative data‐driven policy learning strategy is proposed to design the controllers for AVs based on vehicle‐to‐vehicle (V2V) communications. The policy learning strategy is embedded with the constraints of control input, inter‐vehicular distance error and V2V communication topology. The strategy establishes a safe and robustly stable mixed platoon using prescribed communication topologies. The design efficacy is verified through simulations of a mixed platoon with different communication topologies and leader velocity profiles.
Semi‐globally tracking control for uncertain non‐affine self‐restructuring systems with state constraints
Authors: Cui Qian , Huang Xiucai , Wang Yujuan 
Published: October 2022

AbstractIt is still an open problem to achieve tracking control with state constraints if the initial states are out of the constrained region. This underlying problem becomes more challenging if the system suffers from modeling uncertainties and external disturbances. In this paper, we investigate such problem for a class of uncertain nonaffine self‐restructuring systems subject to state constraints in the absence of any limitation on the initial values of states. In order to steer the original system states into the desired constraint region in finite time, certain auxiliary system is firstly constructed via introducing auxiliary variables. By resorting to some auxiliary nonlinear functions, the original system with state constraints is transformed into an unconstrained one in the sense that the constraint problem of the original system is equivalent to ensuring the stability of the transformed one. By following the backstepping design technique, an adaptive control scheme is developed that enables the states to enter into the constrained region for any initial point within any fixed time and then never violate it. All the closed loop signals are ensured to be semi‐globally uniformly ultimately bounded. Finally, one numerical simulation example is presented to verify the theoretical analysis.