bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spray-flame-synthesized Sr- and Fe-substituted LaCoO3 perovskite nanoparticles with enhanced OER activities
Authors: Alkan Baris , Braun Michael , Landrot Gautier , Rüdiger Olaf , Andronescu Corina , DeBeer Serena , Schulz Christof , Wiggers Hartmut 
Published: October 2022

AbstractLa1–xSrxCoO3 (x = 0, 0.1, 0.2) and LaCo0.8Fe0.2O3 perovskite nanoparticles were synthesized by spray-flame synthesis, and their electrocatalytic water oxidation activity was evaluated in the prepared state. Highly crystalline, rhombohedrally distorted cubic structures of the cobaltite perovskites were confirmed by STEM and XRD analyses. The decreased JT distortions were observed in the cobaltite perovskite structure upon substitution with Sr, while orthorhombic distortions in Fe-substituted perovskites could explain the changes in their Raman spectra. Debye–Waller factors and coordination numbers from fitted EXAFS data indicate more disordered crystalline structures upon Sr substitution and a lower Co–O coordination number at 20 at% Sr. Thermal characterization of the catalysts by STA coupled with QMS shows higher mass losses in Sr-substituted catalysts, and these results were associated with a higher concentration of carbonate species in these catalysts, which was also confirmed by XPS measurements. Both Fe and Sr substitution lead to higher catalytic OER activity of the cobaltite perovskites with lower overpotentials of about 30–50 mV. The cobaltite perovskite catalyst substituted with 20 at% Sr exhibited the highest OER activity and stable electrocatalytic performance at moderate conditions.
“It Has Made Me Think”: Engaging the Public with the History of Health in the Modern Irish Prison
Authors: Cox Catherine , Wall Oisín 
Published: October 2022

Abstract
Since the establishment of the modern prison system in the early nineteenth century, prisons and prisoners have been construed as sites of moral, social, and biological contagion. Historic and contemporary studies show that most prisoners experience severe health inequalities, higher rates of addiction and mental health issues, and lower life expectancy than the rest of the population. They also come from deprived social strata. Yet, these aspects of Irish penal history have been largely neglected in academia and popular histories. Our article discusses two public history projects—an art installation, The Trial, and a museum exhibition, Living Inside—that engaged different publics with the long history of health and welfare in Irish prisons. Developed by the research team on the Wellcome Trust Investigator Award “Prisoners, Medical Care and Entitlement to Health in England and Ireland, 1850-2000,” based at University College Dublin, the projects adopted different methodologies to engage their audiences and explore the experience and management of health and welfare in nineteenth- and twentieth-century Irish prisons. We further examine the different methodological approaches of each project, their varied aims and audiences, and the impacts reported by audiences and participants. The article also considers some of the challenges of doing this kind of public history, both in terms of working with marginalized communities and presenting research about difficult subjects to various audiences.
Bio-derived polyurethanes obtained by non-isocyanate route using polyol-based bis(cyclic carbonate)s—studies on thermal decomposition behavior
Authors: Parcheta-Szwindowska Paulina , Rohde Kamila , Datta Janusz 
Published: October 2022

AbstractNon-isocyanate polyurethanes (NIPUs) constitute one of the most prospective groups of eco-friendly materials based on their phosgene-free synthesis pathway. Moreover, one of the steps of their obtaining includes the use of carbon dioxide (CO2), which allows for the promotion of the development of carbon dioxide capture and storage technologies. In this work, non-isocyanate polyurethanes were obtained via three-step synthesis pathway with the use of epichlorohydrin. In the I step, the addition reaction of epichlorohydrin with polyhydric alcohols was conducted for diglicydyl ethers obtaining. In the II step carbon dioxide reacted with diglicydyl ethers to obtain five-membered bis (cyclic carbonate)s in the cycloaddition reaction. Then, one-pot polyaddition reaction between bis (cyclic carbonate) and dimerized fatty acids-based diamine allowed for non-isocyanate polyurethanes (NIPU)s preparation. Three bio-based materials (two semi-products and one bio-NIPU) and three petrochemical-based materials (two semi-products and one NIPU) were obtained. The selected properties of the products of each step of NIPUs preparation were compared. Fourier transform infrared spectroscopy FTIR and proton nuclear magnetic resonance 1H NMR measurements allowed to verify the chemical structure of all obtained products. The average molecular masses of the semi-products were measured with the use of size exclusion chromatography SEC. Moreover, thermal stability and thermal degradation kinetics were determined based on thermogravimetric analysis TGA. The results confirmed that the activation energy of thermal decomposition was lower for semi-products and NIPUs prepared with the use of petrochemical-based epichlorohydrin than for their bio-based counterparts.
Machine learning FSO-SAC-OCDMA code recognition under different weather conditions
Authors: Abd El-Mottaleb Somia A. , Mètwalli Ahmed , Singh Mehtab , Hassib Mostafa , Aly Moustafa H. 
Published: October 2022

AbstractNowadays, transmitting and receiving data with high speed and a high level of security are the main demands. So, a new model of spectral amplitude coding optical code division multiple access (SAC-OCDMA) is suggested in this paper, based on a free space optical (FSO) communication system using coherent sources. Three different codes: enhanced double weight (EDW), modified double weight (MDW) and multi-diagonal (MD) codes are assigned to our proposed model with the direct detection (DD) technique. Furthermore, the model is simulated under different weather conditions including clear air (CA), light mist (LM), very light fog, and light fog (LF). The system performance is evaluated through its bit error rate (BER), Q-factor, received power, and signal to noise ratio (SNR). Moreover, classification of the information received by the three different SAC-OCDMA using three different codes (EDW, MDW, and MD) is still challenging. So, two different machine learning (ML) algorithms are used, in this study, to classify the data received using the different codes. Detecting which code is received at the receiver end is important in order to reduce code error detection. Two algorithms: K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) are adopted to classify different codes used for data transmission under four different weather conditions. The ML input dataset consists of the obtained simulation results, including Q-factor, BER, and SNR. Each feature is to be normalized before using ML. The obtained results show that the performance of the proposed FSO model achieved the longest propagation range under CA weather conditions, 7 km, while the shortest is under LF, which is 0.98 km. This is due to the attenuation of fog that causes signal degradation. The FSO system that uses EDW gives the best result under different weather conditions, while the system that uses MD code gives the worst performance. Also, the highest power is achieved when the EDW code is used at 5.5 km. The EDW has a received power of − 21.58 dBm, while the received power is − 22.04 dBm and − 23.8 dBm for MDW and MD codes, respectively. As for classification between the received information coming from three different codes under different weather conditions, both algorithms, KNN and SVM, achieve promising results in most cases. They showed more than 97% of classification accuracy under CA, LM, and LF weather conditions.
Expressivism about explanatory relevance
Authors: Hunt Josh 
Published: October 2022

AbstractAccounts of scientific explanation disagree about what’s required for a cause, law, or other fact to be a reason why an event occurs. In short, they disagree about the conditions for explanatory relevance. Nonetheless, most accounts presuppose that claims about explanatory relevance play a descriptive role in tracking reality. By rejecting the need for this descriptivist assumption, I develop an expressivist account of explanatory relevance and explanation: to judge that an answer is explanatory is to express an attitude of being for being satisfied by that answer. I show how expressivism vindicates ordinary scientific discourse about explanation, including claims about the objectivity and mind-independence of explanations. By avoiding commitment to ontic relevance relations, I rehabilitate an irrealist conception of explanation.
Development of a cost-effective diagnostic algorithm incorporating transcription factor immunohistochemistry in the evaluation of pituitary tumours
Authors: Lenders N. F. , Chui J. , Low J. , Inder W. J. , Earls P. E. , McCormack A. I. 
Published: October 2022

Abstract
Purpose
To determine the utility of the 2022 WHO Classification of pituitary tumours in routine clinical practice and to develop an optimal diagnostic algorithm for evaluation of tumour type in a real-world setting.

Methods
Retrospective evaluation of pituitary tumour immunohistochemistry (IHC), operatively managed at St Vincent’s Hospital Sydney, between 2019 and 2021. Routine IHC comprised evaluation of transcription factors [steroidogenic factor 1 (SF1), T-box transcription factor 19 (TPIT) and pituitary-specific positive transcription factor (PIT1)] and anterior pituitary hormones. Three tiered algorithms were tested, in which hormone IHC was performed selectively based on the initial transcription factor results. These were applied retrospectively and compared with current practice ‘gold standard’ comprising all transcription factor and hormone IHC. Diagnostic accuracy and cost were evaluated for each.

Results
There were 113 tumours included in the analysis. All three algorithms resulted in 100% concordance with the ‘gold standard’ in the characterisation of tumour lineage. While all three were associated with relative cost reduction, Algorithm #3, which omitted hormone IHC in the setting of positive SF1 or TPIT and performed IHC for growth hormone, prolactin and thyroid stimulating hormone only in the setting of PIT1 positivity, was the most cost-efficient. Additionally, there were 12/113 tumours with no distinct cell lineage.

Conclusion
A diagnostic algorithm omitting hormone IHC except in cases of PIT1 positivity is an accurate and cost-effective approach to diagnose the type of pituitary tumour. A significant subgroup of pituitary tumours with no distinct cell lineage, frequently plurihormonal, remains difficult to classify with the new WHO criteria and requires further evaluation.
Literacy in vocational education and training: scenario-based reading and writing education
Authors: Konstantinidou Liana , Madlener-Charpentier Karin , Opacic Aleksandra , Gautschi Curtis , Hoefele Joachim 
Published: October 2022

AbstractMany students in vocational education and training (VET) have difficulties with reading and writing. To date, there is little research on whether and how the development of VET students’ writing skills may benefit from teaching approaches that integrate reading and writing. This study reports results from a semester-long intervention study conducted in Switzerland in 2018/19 (N = 285) in which we investigated the impact of a scenario-based integration of reading-to-write-tasks on the development of VET students’ text quality. In the approach, problem-solving processes are set in motion by scenarios representing real- or work-life situations. Reading-to-write tasks form part of the student-initiated problem-solving process, and result in situated argumentative writing. A small experimental intervention effect was found where text quality developed significantly better in the experimental group than in a matched control group (F1,178= 7.40,p < .01, Cohen’sf = 0.20), as measured in a writing test before and after exposure to the teaching method. Outcomes suggest tangible benefits may result when applying this approach to literacy education in VET, particularly for academically weaker students. We discuss the consequences and implications of these findings, as well as open questions to be addressed by further research.
Intergenerational Social Mobility and Youth Well-Being in the Context of the Greek Socio-Economic Crisis
Authors: Leontopoulou Sophie , Chletsos Michael 
Published: October 2022

AbstractIntergenerational social mobility and its associations with youth well-being has scarcely been examined in Greece. This study examines educational and income mobility across generations, its relations with emerging adults’ well-being, and the impact of interpersonal and contextual factors on this relationship, such as parental school involvement and the recent severe socio-economic crisis in Greece. 468 female and male University students and graduates completed a questionnaire battery, using two different modes: pen-and-pencil and online. The questionnaire assessed demographics, including information about educational levels for youths, parents and grandparents of both genders, and income (for the former two), flourishing and quality of life, as well as parental involvement, and the impact of the crisis on youths. The results revealed upward educational mobility across three generations. Intergenerational mobility was significantly, and positively associated with youth well-being. Parental involvement mediated the relation between social mobility and flourishing, while the impact of the socio-economic crisis mediated the relationship among mobility, flourishing, and quality of life in emerging adulthood. The implications of these findings on educational, mental health and other types of interventions are discussed. Lastly, the two modes of questionnaire assessment were found to be equivalent, a finding that can facilitate research in other trying times, such as health pandemics.
Novel biomarkers for prognosticating diabetic kidney disease progression
Authors: Swaminathan Shilna Muttickal , Rao Indu Ramachandra , Shenoy Srinivas Vinayak , Prabhu Attur Ravindra , Mohan Pooja Basthi , Rangaswamy Dharshan , Bhojaraja Mohan V , Nagri Shivashankara Kaniyoor , Nagaraju Shankar Prasad 
Published: October 2022

AbstractThe global burden of diabetic kidney disease (DKD) is escalating, and it remains as a predominant cause of the end-stage renal disease (ESRD). DKD is associated with increased cardiovascular disease and morbidity in all types of diabetes. Prediction of progression with albuminuria and eGFR is challenging in DKD, especially in non-proteinuric DKD patients. The pathogenesis of DKD is multifactorial characterized by injury to all components of the nephron, whereas albuminuria is an indicator of only glomerular injury. The limits in the diagnostic and prognostic value of urine albumin demonstrate the need for alternative and clinically significant early biomarkers, allowing more targeted and effective diabetic treatment, to reduce the burden of DKD and ESRD. Identification of biomarkers, based on multifactorial pathogenesis of DKD can be the crucial paradigm in the treatment algorithm of DKD patients. This review focuses on the potential biomarkers linked to DKD pathogenesis, particularly with the hope of broadening the diagnostic window to identify patients with different stages of DKD progression.
Eucalyptus saponin- and sophorolipid-mediated desorption of polycyclic aromatic hydrocarbons from contaminated soil and sediment
Authors: Kariyawasam Thiloka , Prenzler Paul D. , Howitt Julia A. , Doran Gregory S. 
Published: October 2022

AbstractThe potential for biosurfactant-mediated desorption of polyaromatic hydrocarbons (PAHs) was evaluated using PAH-spiked soil and sediment. PAH desorption behaviors and toxicity of novel saponin biosurfactant extracted from Eucalyptus camaldulensis leaves and sophoro-lipid biosurfactant were investigated. Their PAH desorption efficiencies were compared with rhamnolipid biosurfactant and the industrial-chemical surfactant, Tween 20. Based on the emulsification indices, the salt tolerance of surfactants up to 30 g/L NaCl followed the order of saponin > Tween 20 > sophorolipid > rhamnolipid, while the thermal stability over the range of 15 to 50 °C was in the order of sophorolipid > rhamnolipid > saponin > Tween 20. The saponin biosurfactant emulsion demonstrated the highest stability under a wide range of acidic to basic pHs. PAH extraction percentages of saponin and sophorolipid under the optimized surfactant concentration, volume, and incubation time were 30–50% and 30–70%, respectively. PAH desorption capacities of saponin and sophorolipid were comparable to that of rhamnolipid and Tween 20 for all matrices. Sophorolipid more efficiently desorbed low molecular weight PAHs in soil and sediment compared to the other three surfactants. Microbial respiration was used to determine biosurfactant toxicity to the soil/sediment microbiome and indicated no inhibition of respiration during 60 days of incubation, suggesting that sophorolipid- and saponin-mediated remediation may be sustainable approaches to remove PAHs from contaminated soils and sediments.
Contaminants of emerging concerns (CECs) in a municipal wastewater treatment plant in Indonesia
Authors: Astuti Maryani Paramita , Notodarmojo Suprihanto , Priadi Cindy Rianti , Padhye Lokesh P. 
Published: October 2022

Abstract
This study provides the first set of quantitative data on the occurrence and fate of a wide range of contaminants of emerging concerns (CECs) in Indonesia’s largest wastewater treatment plant (WWTP). The WWTP employs waste stabilization ponds (WSPs) as the secondary treatment before discharging the effluent to the Citarum River. Fourteen out of twenty-two monitored CECs were detected in the wastewater influent, and seven were present in the effluent, with a total concentration of 29.8 ± 0.4 µg/L and 0.5 ± 0.0 µg/L, respectively. The occurrence of the CECs in this study was found to be well correlated with their possible use and known detection in surface waters in Indonesia. Caffeine (CAF) at 12.2 ± 0.1 µg/L, acetaminophen (ACT) at 9.1 ± 0.1 µg/L, N,N-diethyl-m-toluamide (DEET) at 5.0 ± 0.1 µg/L, ibuprofen (IBU) at 2.3 ± 0.0 µg/L, and triclosan (TCS) at 470 ± 64 ng/L were discovered as the five most prevalent CECs, followed by bisphenol A (BPA), trimethoprim (TMP), Tris(2-chloroethyl) phosphate (TCEP), sulfamethazine (SMZ), carbamazepine (CBZ), fluoxetine (FLX), benzotriazole (BTA), sulfamethoxazole (SMX), and metformin (METF). Biodegradable CECs (SMX, SMZ, ACT, IBU, TCS, BPA, CAF, DEET, and TMP) were efficiently removed (83–100%) by the WSP. In contrast, recalcitrant CECs achieved poor removal efficiencies (e.g., FLX at 24%), and for others, treatment processes even resulted in elevated concentrations in the effluent (CBZ by 85%, TCEP by 149%, and BTA by 92%). The CECs’ influent concentrations were determined to pose a moderate aquatic cumulative risk, while no such risk was associated with their effluent concentrations. The study demonstrates the importance of conventional WWTPs in reducing the concentrations of CECs to minimize their aquatic contamination risk. The findings are relevant for countries, such as Indonesia, with limited resources for advanced centralized wastewater treatments, and which are exploring the efficacy of centralized WSP against the existing decentralized treatments.
Efficient compact linear programs for network revenue management
Authors: Laumer Simon 
Published: October 2022

AbstractWe are concerned with computing bid prices in network revenue management using approximate linear programming. It is well-known that affine value function approximations yield bid prices which are not sensitive to remaining capacity. The analytic reduction to compact linear programs allows the efficient computation of such bid prices. On the other hand, capacity-dependent bid prices can be obtained using separable piecewise linear value function approximations. Even though compact linear programs have been derived for this case also, they are still computationally much more expensive compared to using affine functions. We propose compact linear programs requiring substantially smaller computing times while, simultaneously, significantly improving the performance of capacity-independent bid prices. This simplification is achieved by taking into account remaining capacity only if it becomes scarce. Although our proposed linear programs are relaxations of the unreduced approximate linear programs, we conjecture equivalence and provide according numerical support. We measure the quality of an approximation by the difference between the expected performance of an induced policy and the corresponding theoretical upper bound. Using this paradigm in numerical experiments, we demonstrate the competitiveness of our proposed linear programs.
Anatomical variation in the branching pattern of the aortic arch: a literature review
Authors: Murray Anna , Meguid Eiman Abdel 
Published: October 2022

Abstract

Background
Many anatomical variations of the branching pattern of the aortic arch have been documented in the literature. These find their origin in alterations to the embryological development of the arch and have significant implications for surgical and radiological interventions.

Methods
Embase and Medline database searches were carried out in June 2021 and identified 1197 articles, of which 24 were considered eligible.

Results
Twenty-eight variations were found. The prevalence of the six main variations found is as follows: normal configuration (61.2–92.59%); bovine arch type 1 (4.95–31.2%); bovine arch type 2 (0.04–24%); origin of left vertebral artery (0.17–15.3%); aberrant right subclavian artery (0.08–3.33%); thyroid ima artery (0.08–2%). Concomitant variations present in conjunction with these variations are also documented, as were other variations which could not be classified into these six groups.

Conclusions
Anatomical variations in the branching pattern of the aortic arch are present in over one-third of individuals in some populations. These are important pre- and intra-operatively during thoracic, neck and thyroid surgery. A greater effort should be employed to construct an official classification to facilitate greater understanding among clinicians.
Donation After Circulatory Death: A New Frontier
Authors: Joshi Yashutosh , Villanueva Jeanette , Gao Ling , Hwang Bridget , Zhao Christine , Doyle Aoife , Wu Jianxin , Jansz Paul , Macdonald Peter 
Published: October 2022

Abstract
Purpose of Review
To highlight the current global experience with DCD heart transplantation and explore the evolution of, and compare preservation strategies; examine early clinical outcomes, and discuss the growing use of DCD donors as a new frontier in heart transplantation.

Recent Findings
The two strategies of DCD heart preservation include NMP using the OCS Heart and TA-NRP followed by either: NMP or CSS. Better understanding the limits of cold ischaemia following TA-NRP will aid in distant procurement. Asystolic warm ischaemia plays an important role in determining immediate post-operative graft function and potential need for mechanical support. Large volume DCD heart transplant units show no difference in survival between DCD and DBD donor heart transplants.

Summary
In a previously non-utilised source of donor hearts, often viewed as an “unknown frontier” in heart transplantation, DCD hearts are a suitable alternative to brain-dead donor hearts and are likely to remain a permanent part of the heart transplantation landscape. Global uptake is currently increasing, and as understanding of preservation strategies and tolerable ischaemic times improve, utilisation of DCD hearts will continue to grow.