bluuebunny/crossref_metadata_2025_split huggingface dataset:
In-kind donations – peculiarities and challenges of product philanthropy
Authors: Stötzer Sandra , Kaltenbrunner Katharina 
Published: November 2023

AbstractIn-kind donations are an essential resource for many nonprofit organizations (NPO). However, their high practical relevance is not yet reflected in the literature on nonprofit marketing and fundraising which still focuses primarily on cash giving. Against this background, we summarize the limited and fragmentary literature on in-kind giving and provide some practical insights. The paper makes several contributions: first, we present an income classification of NPO’s manifold mix of resource sources that includes in-kind donations. Second, a classification of (cash and non-cash) donations categorizes the heterogeneous forms of donations and, in particular, financial surrogates. Third, and based on this typology, we develop a comprehensive definition of in-kind donations as an important step towards conceptualization. Fourth, we outline the specifics of in-kind donations and associated challenges via three case vignettes that illustrate practical experiences of NPO in dealing with product philanthropy. Finally, we give some recommendations for NPO’s in-kind fundraising endeavours and indicate avenues for further research.
Tempo-Spatial Variability and Health Risks of PM2.5 and Associated Metal(loid)s in Greater Cairo, Egypt
Authors: Shetaya Waleed H. , El-Mekawy Asmaa , Hassan Salwa K. 
Published: November 2023

AbstractGreater Cairo is one of the largest metropolitan areas in the world, yet the tempo-spatial trends of PM2.5 and loaded metal(loid)s) in its atmosphere, and their potential health risks, are poorly understood. We investigated the air concentrations of PM2.5, and associated Al, As, Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb, V and Zn, in one urban and one industrial locations within Greater Cairo for one year in each location. Statistical analysis suggested that PM2.5 and its chemical composition in Greater Cairo are more influenced by land-use and local activities rather than meteorological conditions. Both annual and daily levels of PM2.5 were well above the WHO air quality guidelines, with annual averages of c. 37 and 56 µg m−3, and daily maximums of 165 and 176 µg m−3, in the urban and industrial areas, respectively. This indicates high probability of PM2.5 inflicted short- and long-term health risks to the population of Greater Cairo. Health risk modelling indicated that the residents of Greater Cairo are facing high non-carcinogenic and carcinogenic risks (up to 47 and 28 times the recommended hazard indices, respectively) from the studied 12 metal(loid)s combined. Lead (Pb) was the highest single threat to the health of Greater Cairo residents amounting up to 56% and 83% of the total non-carcinogenic and carcinogenic risks, respectively. Nevertheless, most of the exposure to Pb originated from ingestion rather than inhalation which was marginal. For all elements combined, and for some other individual elements, inhalation was a significant route of exposure but only for non-carcinogenic risks. For carcinogenic risks, the contribution of inhalation to the total risk was negligible.
Mechanistic Basis of Silicon Mediated Cold Stress Tolerance in Alfalfa (Medicago sativa L.)
Authors: Rahman Md Atikur , Song Yowook , Hasan Md. Mahadi , Jahan Mohammad Shah , Siddiqui Manzer H. , Park Hyung Soo , Lee Sang-Hoon , Singh Deepti , Corpas Francisco J. , Kabir Ahmad Humayan , Lee Ki-Won 
Published: November 2023

AbstractCold stress (CS) impact on crops is one of the critical constraints for sustainable and smart agricultural production. CS adversely affects plants leading to growth retardation, necrosis, chlorosis, and significant yield loss. The objective of this study was to explore the mechanistic basis of silicon (Si) in enhancing CS tolerance in alfalfa plants. The fluorescence staining indicated that Si-reduced the intensity of CS-induced superoxide radical (O2•–) and hydrogen peroxide (H2O2) generation in plants that improved plant photosynthesis, cellular integrity, and alfalfa biomass production under CS. The exogenous supplementation of Si significantly restored the endogenous Si status accompanied by the upregulation of NIP (nodulin 26-like intrinsic protein) genes NIP2, NIP5;1, and NIP6;1 in alfalfa. The elemental concentration analysis revealed that exogenous silicon (E-Si) triggers the increase of calcium (Ca), magnesium (Mg), and sulfur (S) in plants subjected to Si-supplementation compared to the plants cultivated without Si under CS. The application of Si significantly increased the activity of antioxidant enzymes including superoxide dismutase (SOD), catalase (CAT), ascorbate peroxidase (APX), and glutathione reductase (GR). Furthermore, Si significantly enhanced the expression of CS-responsive candidate genes including ICE1, CBF1/DREB1C, CBF2/DREB1B, CBF3/DREB1A, COR15A, COR47, and KIN1 in alfalfa. These findings together provide mechanistic insights into Si-involving CS tolerance in alfalfa. This eco-friendly SC management strategy using Si treatment can be useful to plant breeders and farmers for developing CS-resilient smart alfalfa production through breeding program.
Cost-Benefit Analysis of the Wuxikou Integrated Flood Management Project Considering the Effects of Flood Risk Reduction and Resettlement
Authors: Zeng Peng , Fang Weihua , Zhang Haixia , Liang Zhongmin 
Published: November 2023

AbstractEvaluation of the economic costs and benefits of flood disaster risk management projects is crucial. However, current cost-benefit analyses (CBA) often lack reliable estimates of the expected loss reduction from flood control measures and ignore quantitative assessments of resettlement. To address these limitations, this study incorporated a probabilistic risk analysis method and quantitative resettlement benefits assessment into the CBA framework, using the Wuxikou Integrated Flood Management Project (WIFMP) in Jiangxi Province, China, as a case study. The direct economic benefits of flood control were estimated by integrating hydrological statistics, numerical flood inundation simulation, and quantitative damage analysis with exposure and vulnerability data. Furthermore, the resettlement benefits were quantified by measuring the annual income growth of migrants based on assumptions about household employment. Our analysis shows that the total WIFMP investment is RMB 3546.1 million yuan (USD 1 = RMB 6.976 yuan), including loan principal and interest of 244.4 million yuan, and operations and maintenance of 605.5 million yuan at 2020 prices. Annual project benefits are estimated at 351.3 million yuan in flood risk reduction, 155.7–191.9 million yuan from increased resettlement income, and 42.7 million yuan in power and water revenues. Considering the costs and benefits across the entire project lifecycle, the internal rate of return ranges from 13.7 to 14.2%, and the net present value ranges from 31.8 to 352.6 billion yuan. Through improved benefit estimation methodology, this research enables a more reliable and holistic evaluation of costs and benefits for flood risk management projects. It provides insights for policymakers and practitioners involved in similar projects, contributing to more informed decision making and better allocation of resources in flood disaster risk management.
Experimental investigation on deformation and failure mechanism of waste dump with partial-weak basement
Authors: Wang Yukai , Zhang Yong , Liu Xiaoli , Pang Bo , Luo Zhixiong 
Published: November 2023

AbstractA non-uniform basement condition usually causes dump disasters. Two sets of base friction tests were carried out to discuss the deformation mechanism of the waste dump with partial-weak and total-hard basement. By the image speckle analysis and point-tracking technology, dump displacements and strains were obtained, and the deformation mechanism, stability, failure process of the waste dump were analysed. We could concluded that: (1) a waste dump with total-hard basement has higher stability than that with partial-weak basement. (2) The dump displacement exhibits a distribution of five flat regions that are connected by four steep increasing regions. (3) The dump deformation could be categorized into three phases: continuous deformation phase, crack-failure phase and final stability phase. In crack-failure phase, the deformation process of a total-hard basement waste dump presents a traction-crack-slide feature, but that of a partial-weak basement waste dump exhibits a subsidence-crack-rotation pattern. (4) In the deformation process, a total-hard basement waste dump is mainly affected by tensile stress, and its crack type is classified as tensile crack. While a partial-weak basement waste dump is subject to the coupling action of tensile and shear stress, and its crack type is shear crack. Both total-hard and partial-weak basement waste dumps show volume expansion. (5) With regard to the deformation control project of partial-weak basement waste dumps, strengthening the weak basement and increasing the anti-sliding force of the dump slope are recommended to reduce the vertical and horizontal deformation. These results have guiding significance for the deformation mechanism, stability evaluation and reinforcement measures of partial-weak basement waste dumps.
Schmetterlinge
Authors: Brandes Peter 
Published: November 2023

ZusammenfassungLiterarische Gruppierungen wie die historischen Avantgarden haben sich im 20. Jahrhundert oftmals über Manifeste konstituiert. Die Gruppe 47 hat sich dagegen in Abgrenzung zu Avantgarde-Praktiken ohne Regelwerk und literarisches Programm als Treffpunkt mündlicher Literaturkritik gegründet. Ähnlich verhält es sich mit jener Gruppe der Popliteraten, deren Treffen 1999 im Hotel Adlon einer umfassenden Stilkritik des literarisch-kulturellen Lebens gewidmet war. Der Beitrag nimmt diese Beobachtung zum Anlass, unter Bezugnahme auf theoretische Konzepte von Michel Foucault und Peter Bürger den strukturellen und rhetorischen Analogien dieser beiden sehr unterschiedlichen und zugleich einflussreichen literarischen Gruppierungen nachzugehen.
Kunst, Macht, Agonismus
Authors: Mainberger Sabine 
Published: November 2023

ZusammenfassungSeit der Antike kennt und pflegt das westliche Kunstdenken den Mythos vom Künstler als einzigartigem (männlichem) Individuum, das Wunderbares hervorbringt. Er speist sich u. a. aus der Naturalis Historia (Naturkunde) des römischen Gelehrten Plinius d. Ä. (23/24-79 n. Chr.). Die letzten fünf der insgesamt 37 Bände dieses enzyklopädischen Werks sind eine entscheidende Quelle für das Wissen über antike Kunst. Zahllose Anekdoten handeln darin vom Wert von Kunstwerken, von Problemen der Mimesis und des ästhetischen Urteils, von künstlerischer Rivalität, der Beziehung zwischen Künstler und Publikum, Künstler und Herrscher u. a. m. Jahrhundertelang wurden diese kleinen Erzählungen wiederholt, variiert, an wechselnde Situationen und Interessen angepasst, sie katalysierten Kunsttheorie und -geschichte. Nicht wahrgenommen wurde jedoch, dass sie auch den Weg zu einem anderen als dem wohlbekannten Konzept eröffnen: zu einem, in dem Kunst als komplexer reziproker Austausch von Gaben zwischen mehr als zwei Akteuren gedacht wird. An der Lektüre zweier einschlägiger Anekdoten (NH 35.86-87 und NH 35.140) versucht der Aufsatz die Bedeutung agonistischer Gaben in diesem Kunstdiskurs zu zeigen.
Practicing and Publishing Post-1500 Mediterranean Archaeology in Italy, Spain, and France
Authors: Milanese Marco 
Published: November 2023

AbstractPost-1500 archaeology has undergone many changes in western Mediterranean Europe over the last three decades. This article explores how these changes have developed by focusing on the publishing of post-1500 archaeology in Italy, Spain, and France. Taking Italy as the primary example, it demonstrates that the path taken is intertwined with that of Northern Europe, but that it also deviates in its beginnings, its place in law, and its current place in academic and professional archaeology.
Stochastic evolution equations with rough boundary noise
Authors: Neamţu Alexandra , Seitz Tim 
Published: November 2023

AbstractWe investigate the pathwise well-posedness of stochastic partial differential equations perturbed by multiplicative Neumann boundary noise, such as fractional Brownian motion for $$H\in (1/3,1/2].$$

H
∈
(
1
/
3
,
1
/
2
]
.

Combining functional analytic tools with the controlled rough path approach, we establish global existence of solutions and flows for such equations. For Dirichlet boundary noise we obtain similar results for smoother noise, i.e. in the Young regime.
Preconception Non-criteria Antiphospholipid Antibodies and Risk of Subsequent Early Pregnancy Loss: a Retrospective Study
Authors: Mu Fangxiang , Wang Mei , Zeng Xianghui , Liu Ling , Wang Fang 
Published: November 2023

AbstractThe aim of this study was to investigate the subsequent early pregnancy outcomes in women positive for non-criteria antiphospholipid antibodies (NC-aPLs) before pregnancy. A total of 273 patients who had experienced sporadic or recurrent pregnancy loss and had been screened for 13 NC-aPLs at preconception were recruited in this study from September 2019 to February 2022. Serum levels of NC-aPLs were measured by ELISA using specific kits. The primary outcome was early pregnancy loss, and the secondary outcomes were biochemical pregnancy, clinically confirmed pregnancy loss, and ongoing pregnancy. Among these subjects, 56 patients had one previous pregnancy loss, and 217 had recurrent pregnancy loss (RPL). The NC-aPLs (+) and NC-aPLs (−) groups had similar rates of early pregnancy loss (EPL) after adjustment, regardless of the number of positive NC-aPLs (aOR = 1.054, 95% CI 0.602–1.846). Other outcomes were comparable in both groups, including the rates of biochemical pregnancy (aOR = 1.344, 95% CI 0.427–4.236), clinically confirmed pregnancy loss (aOR = 0.744, 95% CI 0.236–2.344), and ongoing pregnancy (aOR = 0.949, 95% CI 0.542–1.660). Based on sensitivity analysis, the NC-aPLs (+) were not associated with adverse early pregnancy outcomes in women with RPL. Furthermore, the difference in gestational weeks of pregnancy loss between the two groups was also insignificant. This study found no evidence linking preconception NC-aPL positivity to early pregnancy outcomes but offers a reference for future research to clarify NC-aPLs’ potential clinical impact.
Cultivation of edible filamentous fungi on pomegranate by-products as feedstocks to produce mycoprotein
Authors: Braho Vjola , Sar Taner , Taherzadeh Mohammad J. 
Published: November 2023

AbstractPomegranate, renowned for its delectable taste and remarkable nutritional profile, has witnessed a surge in both production and consumption. However, the by-products generated during industrial processes, such as peels and seeds, have the potential for adverse environmental impacts if not meticulously managed. Similarly, expired fruit juices or spillages that may occur during manufacturing and transportation contribute to agri-food waste. This study focused on the comprehensive assessment of pomegranate by-products and pomegranate juice using ascomycetes and zygomycetes filamentous fungi, namely Aspergillus oryzae, Rhizopus oligosporus, and Neurospora intermedia to obtain mycoprotein for sustainable vegan food production. The findings revealed that pomegranate juice, both fresh and expired commercial, contained essential nutrients for fungal biomass production (up to 0.024 g biomass/mL juice). Nonetheless, fresh juice emerges as a more potent medium in terms of protein production than commercial juice. Cultivating A. oryzae yielded a biomass of 0.39 (g biomass/g peel) from pomegranate peel, while concurrently raising the protein content of raw pomegranate peel from 30.89 g/kg to 85.41 g/kg. Furthermore, incorporating yeast extract into the peel medium not only resulted in an enhanced biomass yield of 0.49 (g biomass/g peel) but also significantly elevated the protein content to 198.63 g/kg. This study provides valuable insights into the potential of pomegranate peel and juice as promising substrate for fungal biomass production, offering opportunities for the development of innovative food and feed products.
Development of a phone application for assessing fatigue levels in rare disorders: a feasibility and validity study
Authors: Chu Virginia W. T. , Payne Samantha J. , Hunter Mackenzie P. , Reynolds Stacey 
Published: November 2023

Abstract
Purpose
Barth syndrome (BTHS) is a rare genetic disorder characterized by skeletal myopathy, cardiomyopathy, and exercise intolerance due to early fatigue. The purpose of this study was to test the feasibility and validity of a new phone application designed to capture multi-dimensional aspects of fatigue across the lifespan. The specific study aims were to (1) assess the feasibility of using the app to record perceived fatigue levels in real-time, (2) evaluate discriminant validity by assessing if the app can differentiate between those with and without BTHS, and (3) content validity by assessing the relationship between perceived energy levels and actual energy expenditure.

Methods
Eighteen participants with BTHS and 18 age-matched control participants completed the study. The participants wore an activity tracker for 14 days and were prompted to respond to an Android app to report their fatigue levels 6 × /day. Statistical analysis was completed to examine perceived fatigue and the relationship between reported fatigue and actual energy expenditure.

Results
Feasibility was supported by the majority of participants responding to at least 50% of the application prompts and scores indicative of good internal consistency between responses (92–95%) and reliability of the battery scale (p < .001). Discriminant validity of the app was only partially supported, with the number of “crashes” being significantly different between those with and without BTHS (p = 0.042). Other measures of perceived fatigue were not found to be significantly different between groups, even though individuals with BTHS showed significantly lower energy expenditure than control participants during the day as measured by actigraphy (p < 0.001). Content validity of the app was supported, with perceived energy levels significantly correlating with actual energy expenditure collected with the activity tracker (p < 0.001).

Conclusions
In summary, the phone app developed by our team allowed researchers to capture the lived experience of individuals with BTHS while also capturing objective data. We verified that the app was able to consistently and accurately capture participant-reported fatigue. The battery scale tested as part of our feasibility aim was successful in capturing perceived levels of energy and can be used as a valid measure of fatigue in future studies. It was interesting to note that “crashes” appear to be the main differentiating factor in fatigue between the BTHS and control participants, where other measures of perceived fatigue were not found to be significantly different. These results highlight the complex nature of measuring fatigue as a subjective construct. This study provides foundational information on methods for quantifying fatigue in adults, adolescents, and children with BTHS and can provide possible targets for future therapeutic trials.
Using machine learning to mine mental health diagnostic groups from emergency department presentations before and during the COVID-19 pandemic
Authors: Hudson Carly , Branjerdporn Grace , Hughes Ian , Todd James , Bowman Candice , Randall Marcus , Stapelberg Nicolas J. C. 
Published: November 2023

Abstract
Purpose
The COVID-19 pandemic had a profound negative effect on mental health worldwide. The hospital emergency department plays a pivotal role in responding to mental health crises. Understanding data trends relating to hospital emergency department usage is beneficial for service planning, particularly around preparing for future pandemics. Machine learning has been used to mine large volumes of unstructured data to extract meaningful data in relation to mental health presentations. This study aims to analyse trends in five mental health-related presentations to an emergency department before and during, the COVID-19 pandemic.

Methods
Data from 690,514 presentations to two Australian, public hospital emergency departments between April 2019 to February 2022 were assessed. A machine learning-based framework, Mining Emergency Department Records, Evolutionary Algorithm Data Search (MEDREADS), was used to identify suicidality, psychosis, mania, eating disorder, and substance use.

Results
While the mental health-related presentations to the emergency department increased during the COVID-19 pandemic compared to pre-pandemic levels, the proportion of mental health presentations relative to the total emergency department presentations decreased. Several troughs in presentation frequency were identified across the pandemic period, which occurred consistently during the public health lockdown and restriction periods.

Conclusion
This study implemented novel machine learning techniques to analyse mental health presentations to an emergency department during the COVID-19 pandemic. Results inform understanding of the use of emergency mental health services during the pandemic, and highlight opportunities to further investigate patterns in presentation.
Alleviating data insufficiency for Chinese sign language recognition
Authors: Xue Wanli , Liu Jingze , Yan Siyi , Zhou Yuxi , Yuan Tiantian , Guo Qing 
Published: November 2023

AbstractContinuous Chinese sign language recognition (CCSLR) methods have shown their strong ability to learn excellent model architectures from datasets. However, due to data insufficiency, it is difficult to complete the CCSLR task. In this work, we focus on a simple but important solution to alleviate data insufficiency: how to refine the model architecture of a CCSLR network to improve the robustness of feature processing by using some better-quality non-Chinese sign language datasets. To this end, a simple empirical study was first conducted to verify the feasibility of knowledge transfer in the CCSLR task. Surprisingly, just by pre-training of our recognition model on a foreign sign language dataset, we can refine the model architecture and improve its robustness significantly. To make it more practical, the key issue of how to fine-tune the existing feature processing models for effective guidance should be carefully investigated. Then, we propose a novel scheme for fine-tuning of pre-trained models named FTP, which updates the spatial feature extractor initialized by a pre-trained backbone and freezes the temporal feature extractor implemented by a better shareable transformer encoder. Compared with the baseline method, our FTP method can achieve significant performance improvement on the public dataset USTC-CCSL.