bluuebunny/crossref_metadata_2025_split huggingface dataset:
The application of chromatographic methods in optimization and the enhancement of the oxidative liquefaction process to wind turbine blade recycling
Authors: Muzyka Roksana , Sajdak Marcin , Sobek Szymon , Mumtaz Hamza , Werle Sebastian 
Published: August 2024

AbstractThe concept of the circular economy aims to maximise the longevity of raw materials, materials, and final goods while simultaneously minimising waste generation. In order to accomplish this objective, researchers are currently exploring emission-free recycling methods and advancing a novel oxidative liquefaction methodology. This process is employed to efficiently degrade the polymer matrix which we can find among other things in wind turbine blades while also conducting chromatographic investigations of the resulting degraded resins. The conducted experiments included a temperature range spanning from 250 °C to 350 °C. The residence lengths varied from 30 to 90 min, while the pressures ranged from 20 to 40 bars. Additionally, the waste-to-liquid ratios were within the range of 5–25%, and the oxidant concentrations were between 15 and 45% by weight. The study’s results will help improve the design of the experiments by focusing on getting the highest concentrations of oxygenated chemical compounds, such as volatile fatty acids, aromatic hydrocarbons, and aromatic carboxylic acids. These compounds are the main chemicals obtained during resin degradation, and identifying the optimal conditions for their production will facilitate the implementation of this process on a larger scale.
Graphic abstract
Comparison of olanzapine 2.5 mg and 5 mg in the prevention of chemotherapy-induced nausea and vomiting: a Japanese nationwide database study
Authors: Suzuki-Chiba Hiroe , Konishi Takaaki , Aso Shotaro , Makito Kanako , Matsui Hiroki , Jo Taisuke , Fushimi Kiyohide , Yasunaga Hideo 
Published: August 2024

Abstract
Background
Olanzapine is prescribed as prophylaxis for chemotherapy-induced nausea and vomiting at a dose of 2.5 or 5 mg in Asian countries. We compared the effectiveness of olanzapine 2.5 mg and 5 mg in preventing chemotherapy-induced nausea and vomiting among patients receiving high-emetogenic chemotherapy for lung cancer.

Methods
Using a Japanese national inpatient database, we identified patients who received olanzapine doses of 2.5 or 5 mg during high-emetogenic chemotherapy for lung cancer between January 2016 and March 2021. We conducted a 1:1 propensity score-matched analysis with adjustment for various factors, including those affecting olanzapine metabolism. The outcomes were additional antiemetic drug administration (within 2–5 days after chemotherapy initiation), length of hospital stay, and total hospitalization costs.

Results
Olanzapine 2.5 and 5.0 mg were used in 2905 and 4287 patients, respectively. The propensity score-matched analysis showed that olanzapine 2.5 mg administration was significantly associated with a higher proportion of additional antiemetic drug administration (36% vs. 31%, p < 0.001) than olanzapine 5 mg. The median length of hospital stay was 8 days in both groups. Total hospitalization cost did not differ significantly between the two doses of olanzapine (5061 vs. 5160 USD, p = 0.07). The instrumental variable analysis demonstrated compatible results.

Conclusion
Prophylactic use of olanzapine 2.5 mg during chemotherapy for lung cancer was associated with a higher rate of additional antiemetic drugs than olanzapine 5 mg.
SSP: self-supervised pertaining technique for classification of shoulder implants in x-ray medical images: a broad experimental study
Authors: Alzubaidi Laith , Fadhel Mohammed A. , Hollman Freek , Salhi Asma , Santamaria Jose , Duan Ye , Gupta Ashish , Cutbush Kenneth , Abbosh Amin , Gu Yuantong 
Published: August 2024

AbstractMultiple pathologic conditions can lead to a diseased and symptomatic glenohumeral joint for which total shoulder arthroplasty (TSA) replacement may be indicated. The long-term survival of implants is limited. With the increasing incidence of joint replacement surgery, it can be anticipated that joint replacement revision surgery will become more common. It can be challenging at times to retrieve the manufacturer of the in situ implant. Therefore, certain systems facilitated by AI techniques such as deep learning (DL) can help correctly identify the implanted prosthesis. Correct identification of implants in revision surgery can help reduce perioperative complications and complications. DL was used in this study to categorise different implants based on X-ray images into four classes (as a first case study of the small dataset): Cofield, Depuy, Tornier, and Zimmer. Imbalanced and small public datasets for shoulder implants can lead to poor performance of DL model training. Most of the methods in the literature have adopted the idea of transfer learning (TL) from ImageNet models. This type of TL has been proven ineffective due to some concerns regarding the contrast between features learnt from natural images (ImageNet: colour images) and shoulder implants in X-ray images (greyscale images). To address that, a new TL approach (self-supervised pertaining (SSP)) is proposed to resolve the issue of small datasets. The SSP approach is based on training the DL models (ImageNet models) on a large number of unlabelled greyscale medical images in the domain to update the features. The models are then trained on a small labelled data set of X-ray images of shoulder implants. The SSP shows excellent results in five ImageNet models, including MobilNetV2, DarkNet19, Xception, InceptionResNetV2, and EfficientNet with precision of 96.69%, 95.45%, 98.76%, 98.35%, and 96.6%, respectively. Furthermore, it has been shown that different domains of TL (such as ImageNet) do not significantly affect the performance of shoulder implants in X-ray images. A lightweight model trained from scratch achieves 96.6% accuracy, which is similar to using standard ImageNet models. The features extracted by the DL models are used to train several ML classifiers that show outstanding performance by obtaining an accuracy of 99.20% with Xception+SVM. Finally, extended experimentation has been carried out to elucidate our approach’s real effectiveness in dealing with different medical imaging scenarios. Specifically, five different datasets are trained and tested with and without the proposed SSP, including the shoulder X-ray with an accuracy of 99.47% and CT brain stroke with an accuracy of 98.60%.
Negative Pragmatic Transfer in Bilinguals: Cross-Linguistic Influence in the Acquisition of Quantifiers
Authors: Mazzaggio Greta , Stateva Penka 
Published: August 2024

AbstractBuilding on the cross-linguistic variability in the meaning of vague quantifiers, this study explores the potential for negative transfer in Italian-Slovenian bilinguals concerning the use of quantificational determiners, specifically the translational equivalents of the English “many”, that is the Slovenian "precej" and "veliko". The aim is to identify relevant aspects of pragmatic knowledge for cross-linguistic influence. The study presents the results of a sentence-picture verification task in which Slovenian native speakers and Italian-Slovenian bilinguals evaluated sentences of the form "Quantifier X are Y" in relation to visual contexts. The results suggest that Italian learners of Slovenian, unlike Slovenian native speakers, fail to distinguish between "precej" and "veliko". This finding aligns with the negative transfer hypothesis. The study highlights the potential role of pragmatic knowledge in cross-linguistic transfer, particularly in the context of vague quantifiers.
Assessment of reactive-control compression ignition engine performance and emissions using spirulina microalgae biodiesel in conjunction with methanol as low-reactive fuel
Authors: Munimathan ArunKumar , Rajendran Silambarasan , Ağbulut Ümit 
Published: August 2024

AbstractDue to their numerous uses and great fuel economy, diesel engines have been around for millennia. Despite these benefits, diesel engines have been found to pollute the environment severely. Most of the problems were caused by these engines' combustion processes, engine loads, and exhaust particles. The RCCI engine used in the experiment has 20% lower fuel and 80% high reactive fuel. In this research, methanol, and algae biodiesel blends with dimethyl ether acted as lower and higher reactive fuels, respectively, and these fuels were used to analyze the performance and emission in the RCCI engine. Among the 80% of high reactive fuel, blends contain different proportions of algae biodiesel and diethyl ether such as 32B, 28B4ME, 24B8ME, 20B12ME, and 16B16ME. A single-cylinder, four-stroke RCCI engine with a speed of 1500 rpm is used for the experiment. In the tests, the brake power is varied from 1 to 5 kW with an interval of 1 kW. In the results, BTE, BSFC, and EGT engine performance as well as NOX, HC, CO2, and smoke emissions. According to the experimental findings, the fuel properties of 16B16ME show a calorific value of 34.7 /MJ kg-1 and BTE shows improvement for all additive added fuel and 16B16ME shows higher BTE of 32.5% than other fuel blends, Similarly NOx emission also reduced for 628 ppm for 16B16ME than other fuel blends. Therefore 16B16ME is a suitable blend than other blends in RCCI engine based on the experimental results achieved in the present research.
Comparison of thermogravimetry response of alkali-activated slag and Portland cement pastes after stopping their hydration using solvent exchange method
Authors: Bílek Vlastimil , Švec Jiří , Másilko Jiří , Sedlačík Martin , Materak Kalina , Wieczorek Alicja , Koniorczyk Marcin , Hajzler Jan , Kucharczyková Barbara 
Published: August 2024

AbstractThe critical step for any subsequent instrumental analysis of cementitious binders is to stop their hydration reactions, i.e., to remove free water. One of the most available techniques is a solvent exchange method. However, the solvents are known to be strongly bound in ordinary Portland cement (OPC) paste and alter the results of thermogravimetric analysis (TGA) and sensitive hydrates, while their effect on TGA response of alkali-activated slag (AAS) has not been comprehensively investigated. Therefore, the objective of this paper is to track the effects of fundamental aspects of the solvent exchange on the TGA response of AAS with different sodium activators (hydroxide, carbonate, waterglass) and to support these results by X-ray diffraction and effluent gas analysis. All solvents used (acetone, diethyl ether, isopropyl alcohol, ethanol, and methanol) affected the TGA response of all tested pastes, and their effect was enhanced by prolonged immersion time. All solvents induced an additional mass loss at around 800 °C and, especially for OPC paste, increased in situ carbonation, even in an inert atmosphere. Methanol and ethanol had a detrimental effect on ettringite and decreased the basal distance of the C–(A)–S–H gel, while they only marginally affected gaylussite. For AAS, hydration stoppage by washing out the alkali-rich pore solution with water was also investigated and can usually be recommended (except for its detrimental effect on gaylussite), as it is more efficient than organic solvents, which lack solubility for activators. Methanol and ethanol are the most suitable alternatives, particularly for NaOH.
Mechanical reconfigurable infrared filter for stress sensing applications
Authors: Ali Nouran M. , Ali Tamer A. 
Published: August 2024

AbstractIn this study, we introduce a novel tunable infrared filter design aimed at stress sensor applications such as health monitoring, advanced robotics and industrial automation. The design utilizes a double-layer plasmonic frequency-selective surface (FSS) of indium tin oxide (ITO) with an aerogel inter-space region. The unique feature of this design is its ability to control the transmission pattern based on the stress exerted, which alters the distance between the two filter layers. Our approach employs both numerical simulations and a simplified model grounded in equivalent circuit theory and the transfer matrix method for accurate transmission pattern estimation where the sensor achieved a sensitivity of 20nm/MPa for average stress of 14MPa and spectrum range ($$\lambda >800 nm$$

λ
>
800
n
m

). The work provides an in-depth analysis of how layer dimensions and inter-layer distance influence both transmission and force, taking into account the elastic properties of the inter-space material.
“God is my vaccine”: the role of religion, conspiracy beliefs, and threat perception in relation to COVID-19 vaccination
Authors: Rabinovitch Aleksandra , Bliuc Ana-Maria , Strani Katerina , Łycyniak Ewa , Cristea Mioara 
Published: August 2024

AbstractReligious and conspiracy beliefs are based on the assumption that a potent force exists which is capable of affecting people’s destinies. According to compensatory control theory, the belief in such a potent external agent may serve to alleviate feelings of uncertainty and help restore a sense of control. This is of particular relevance and importance to attitudes and behaviour of religious individuals towards vaccinations during the Covid-19 pandemic, where a belief in such a potent external force controlling events and destinies may have lowered the sense of threat posed by Covid-19 and in turn reduced vaccination uptake. To test this, we conducted a cross-sectional study of highly religious adults in Poland (N = 213) and found that the number of COVID-19 vaccine doses taken was negatively predicted by conspiracy beliefs, perceived closeness to God, and frequency of church attendance, and positively predicted by the perceived COVID-19 threat. Furthermore, mediation analysis revealed that both conspiracy beliefs and perceived closeness to God were related to a decreased perception of the COVID-19 threat, which in turn led to a decreased number of vaccine doses received. Our study offers important insights for public health professionals and identifies further research pathways on conspiracy and religious beliefs in relation to health-related behaviours.
Unique associations between strategies of coping with COVID-19-related stress and internalizing symptoms in a clinical sample of adolescents
Authors: Haugland Bente Storm Mowatt , Hysing Mari , Danielsen Yngvild Sørebø , Compas Bruce E. , Knudsen Flygel Linda H. , Håland Åshild Tellefsen , Wergeland Gro Janne H. 
Published: August 2024

AbstractYouth internalizing symptoms increased significantly during COVID-19, suggesting a need for more knowledge on how to prevent youth mental health problems during future widespread societal health crises. This cross-sectional study examined coping strategies and how these were associated with internalizing problems in a clinical sample of youth during COVID-19. Youth (13–19 years) referred to mental health treatment for internalizing problems were assessed 6–18 months into the pandemic. Participants (N = 160, mean age = 15.8 years, SD = 1.2; 80% female, 5% non-binary) completed the Response to Stress Questionnaire, assessing COVID-19 stress, coping strategies, and involuntary stress responses. Internalizing symptoms were evaluated by the Spence Children’s Anxiety Scale and the Short Mood and Feelings Questionnaire. Results showed that coping strategies were associated with internalizing symptoms, after controlling for sex, age, and COVID-19-related stress. Youth using primary control coping had lower levels of anxiety whereas those using secondary control coping strategies had fewer depressive symptoms and fewer involuntary disengagement responses. Secondary control coping (i.e., adapting to the situations) was the most frequent strategy. The highest COVID-19 stressors reported were insecurity about the future, and having to change, postpone or cancel important plans/events. Thus, in a clinical sample of youth, unique associations were found between the type of coping strategy and levels of anxiety and depressive symptoms. During future pandemics and societal health crises, measures to reduce unpredictability in everyday life and insecurity about the future should be implemented, followed by interventions to support adaptive coping strategies.
Genome-wide identification of HSP90 gene family in Rosa chinensis and its response to salt and drought stresses
Authors: Xu Jun , Liu Shuangwei , Ren Yueming , You Yang , Wang Zhifang , Zhang Yongqiang , Zhu Xinjie , Hu Ping 
Published: August 2024

AbstractHeat shock protein 90 (HSP90) is important for many organisms, including plants. Based on the whole genome information, the gene number, gene structure, evolutionary relationship, protein structure, and active site of the HSP90 gene family in Rosa chinensis and Rubus idaeus were determined, and the expression of the HSP90 gene under salt, and drought stresses in two rose varieties Wangxifeng and Sweet Avalanche were analyzed. Six and eight HSP90 genes were identified from R. chinensis and Ru. idaeus, respectively. Phylogenetic analysis revealed that the analyzed genes were divided into two Groups and four subgroups (Classes 1a, 1b, 2a, and 2b). Although members within the same classes displayed highly similar gene structures, while the gene structures and conserved domains of Group 1 (Class 1a and 1b) and the Group 2 (Class 2a and 2b) are different. Tandem and segmental duplication genes were found in Ru. idaeus, but not in R. chinensis, perhaps explaining the difference in HSP90 gene quantity in the two analyzed species. Analysis of cis-acting elements revealed abundant abiotic stress, photolight-response, and hormone-response elements in R. chinensis HSP90s. qRT-PCR analysis suggested that RcHSP90-1–1, RcHSP90-5–1 and RcHSP90-6–1 in Sweet Avalanche and Wangxifeng varieties played important regulatory roles under salt and drought stress. The analysis of protein structure and active sites indicate that the potential different roles of RcHSP90-1–1, RcHSP90-5–1, and RcHSP90-6–1 in salt and drought stresses may come from the differences of corresponding protein structures and activation sites. These data will provide information for the breeding of rose varieties with high stress resistance.
Risk of glaucoma to subsequent dementia or cognitive impairment: a systematic review and meta-analysis
Authors: Wang Xiaoran , Chen Wenjing , Zhao Wenxia , Miao Mingsan 
Published: August 2024

Abstract
Background
Substantial evidence supports that glaucoma and dementia share pathological mechanisms and pathogenic risk factors. However, the association between glaucoma, cognitive decline and dementia has yet to be elucidated.

Objective
This study was aimed to assess whether glaucoma increase the risk of dementia or cognitive impairment.

Methods
PubMed, Cochrane Library, Web of Science, and EMBASE databases for cohort or case-control studies were searched from inception to March 10, 2024. The Newcastle-Ottawa Quality Assessment Scale (NOS) was used to the risk of bias. Heterogeneity was rigorously evaluated using the I2 test, while publication bias was assessed by visual inspection of the funnel plot and by Egger’ s regression asymmetry test. Subgroup analyses were applied to determine the sources of heterogeneity.

Results
Twenty-seven studies covering 9,061,675 individuals were included. Pooled analyses indicated that glaucoma increased the risk of all-cause dementia, Alzheimer’s disease, vascular dementia, and cognitive impairment. Subgroup analysis showed that the prevalence of dementia was 2.90 (95% CI: 1.45–5.77) in age ≥ 65 years and 2.07 (95% CI: 1.18–3.62) in age<65 years; the incidence rates in female glaucoma patients was 1.46 (95% CI: 1.06-2.00), respectively, which was no statistical significance in male patients. Among glaucoma types, POAG was more likely to develop dementia and cognitive impairment. There were also differences in regional distribution, with the highest prevalence in the Asia region, while glaucoma was not associated with dementia in Europe and North America regions.

Conclusion
Glaucoma increased the risk of subsequent cognitive impairment and dementia. The type of glaucoma, gender, age, and region composition of the study population may significantly affect the relationship between glaucoma and dementia.
LabLinking: theory, framework, and solutions of connecting laboratories for distributed human experiments
Authors: Schultz Tanja , Putze Felix , Reisenhofer Rafael , Fehr Thorsten , Meier Moritz , Mason Celeste , Ahrens Florian 
Published: August 2024

AbstractWe introduce the concept of LabLinking: a technology-based interconnection of experimental laboratories across institutions, disciplines, cultures, languages, and time zones - in other words human studies and experiments without borders. In particular, we introduce a theoretical framework of LabLinking, describing multiple dimensions of conceptual, organizational, and technical aspects. The framework defines LabLinking levels (LLL), which describe the degree of tightness of empirical interconnection between labs. In several examples, we describe the technological infrastructure in terms of hard- and software required for the respective LLLs and share insights about the challenges and benefits. This comprises the connection of multiple labs in a collection of multiple synchronized biosignals (including an MRI scanner) for a decision making study, a human-robot interaction study to investigate attention-adaptive communication behavior, as well as an experiment for LabLinking through Virtual Reality in a virtual commerce setting, for an increased feeling of immersion. In sum, we argue that LabLinking provides a unique platform for a continuous exchange between scientists and experimenters, thereby enabling a time synchronous execution of experiments performed with and by decentralized users and researchers, allowing to establish novel experimental designs that would not be feasible without LabLinking, such as the investigation of high-resolution neural signals in everyday activity situations, which was realized by interconnecting a control participant in an fMRI with an execution participant in a kitchen environment.