bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolving wildlife management cultures of governance through Indigenous Knowledges and perspectives
Authors: Fisk Jonathan James , Leong Kirsten Mya , Berl Richard E. W. , Long Jonathan W. , Landon Adam C. , Adams Melinda M. , Hankins Don L. , Williams Christopher K. , Lake Frank K. , Salerno Jonathan 
Published: April 2024

AbstractWithin governance agencies, academia, and communities alike, there are increasing calls to recognize the value and importance of culture within social‐ecological systems and to better implement Indigenous sciences in research, policy, and management. Efforts thus far have raised questions about the best ethical practices to do so. Engaging with plural worldviews and perspectives on their own terms reflects cultural evolutionary processes driving paradigm shifts in 3 fundamental areas of natural resource management: conceptualizations of natural resources and ecosystems, processes of public participation and governance, and relationships with Indigenous Peoples and communities with differing worldviews. We broadly describe evolution toward these paradigm shifts in fish and wildlife management. We then use 3 case studies to illustrate the ongoing cultural evolution of relationships between wildlife management and Indigenous practices within specific historical and social‐ecological contexts and reflect on common barriers to appropriately engaging with Indigenous paradigms and lifeways. Our case studies highlight 3 priorities that can assist the field of wildlife management in achieving the changes necessary to bridge incommensurable worldviews: acknowledging and reconciling historical legacies and their continued power dynamics as part of social‐ecological systems, establishing governance arrangements that move beyond attempts to extract cultural information from communities to integrate Indigenous Knowledges into dominant management paradigms, and engaging in critical reflexivity and reciprocal, accountable relationship building. Implementing these changes will take time and a commitment to processes that may initially feel uncomfortable and unfamiliar but have potential to be transformative. Ethical and culturally appropriate methods to include plural and multivocal perspectives and worldviews on their own terms are needed to transform wildlife management to achieve more effective and just management outcomes for all.
Burn After Read: A Rewritable Multiplexing Optical Information Storage and Encryption Method
Authors: Hu Zhihao , Guan Junyu , Zheng Shengteng , Chai Zihua , Wu Shengzhi , Liu Dong , Su Jia , Shi Fazhan , Duan Changkui , Wang Ya , Xia Kangwei 
Published: April 2024

AbstractInformation storage and security are the building blocks of the information age. Optical information storage is a low‐cost, robust, and high‐capacity storage technique. Discovering new optical information storage media and techniques with beyond binary capacity and enhanced security is in demand. Here a beyond‐binary, “burn after read” and rewritable multiplexing optical information storage and encryption method is demonstrated via Ce:YAG trapping states. It is found that the thermo‐luminescence (TL) intensity of Ce:YAG trapping states is writing light power dependent, enabling multi‐gray‐level information storage and encoding.A new strategy to encode multiplexing information in a single pixel, increasing the storage capability is presented. Meanwhile, the burn after read feature protects the data from secondary leakage. This method has wide applications in data storage, anti‐counterfeiting, and encryption.
Fully automated explainable abdominal CT contrast media phase classification using organ segmentation and machine learning
Authors: Salimi Yazdan , Mansouri Zahra , Hajianfar Ghasem , Sanaat Amirhossein , Shiri Isaac , Zaidi Habib 
Published: April 2024

AbstractBackgroundContrast‐enhanced computed tomography (CECT) provides much more information compared to non‐enhanced CT images, especially for the differentiation of malignancies, such as liver carcinomas. Contrast media injection phase information is usually missing on public datasets and not standardized in the clinic even in the same region and language. This is a barrier to effective use of available CECT images in clinical research.PurposeThe aim of this study is to detect contrast media injection phase from CT images by means of organ segmentation and machine learning algorithms.MethodsA total number of 2509 CT images split into four subsets of non‐contrast (class #0), arterial (class #1), venous (class #2), and delayed (class #3) after contrast media injection were collected from two CT scanners. Seven organs including the liver, spleen, heart, kidneys, lungs, urinary bladder, and aorta along with body contour masks were generated by pre‐trained deep learning algorithms. Subsequently, five first‐order statistical features including average, standard deviation, 10, 50, and 90 percentiles extracted from the above‐mentioned masks were fed to machine learning models after feature selection and reduction to classify the CT images in one of four above mentioned classes. A 10‐fold data split strategy was followed. The performance of our methodology was evaluated in terms of classification accuracy metrics.ResultsThe best performance was achieved by Boruta feature selection and RF model with average area under the curve of more than 0.999 and accuracy of 0.9936 averaged over four classes and 10 folds. Boruta feature selection selected all predictor features. The lowest classification was observed for class #2 (0.9888), which is already an excellent result. In the 10‐fold strategy, only 33 cases from 2509 cases (∼1.4%) were misclassified. The performance over all folds was consistent.ConclusionsWe developed a fast, accurate, reliable, and explainable methodology to classify contrast media phases which may be useful in data curation and annotation in big online datasets or local datasets with non‐standard or no series description. Our model containing two steps of deep learning and machine learning may help to exploit available datasets more effectively.
In reciprocity, we trust: Improving grantmaking through relational philanthropy
Authors: Petzinger Janis , Jung Tobias 
Published: April 2024

AbstractWith a growing emphasis on empowering communities amongst the practices of philanthropic foundations, practitioners recognise the need for giving strategies grounded in communities of practice's contextual and contingent knowledge. This bringing of beneficiaries' lived experiences into grantmaking represents a wider recognition that sees gift‐giving as a dialogical process that uses relationships with community beneficiaries as the point of departure for creating progressive forms of philanthropy, broadly referred to as ‘relational philanthropy’. Foundations that declare themselves as relational funders typically take a more trusting approach by offering more unrestricted, longer‐term funding, simplifying reporting requirements, and empowering grantees to use the resources provided more flexibly. In this paper, we argue that relational philanthropy expresses a form of ‘relational work’, as it possesses a trust‐based character that speaks to the reciprocal power of gift‐giving, whereby both benefactors and beneficiaries receive value from the co‐created, context‐drivengift exchange: beneficiaries receive philanthropic resources (time, treasure, talent, ties) with more control over spending, while the benefactors gain grassroots insights that can inform future funding policies and practices. In this paper, we show that such reciprocity between funders and their beneficiaries is an important step towards empowering communities for three reasons: (1) by strengthening trust in, and sharing power with, their grantees, foundations empower them to engage more thoroughly with their communities; (2) by grantees communicating their community‐level lived experiences to foundations, foundations can develop more informed and relevant grantmaking decisions, and; (3) as reciprocal exchanges are built on trust, this relational philanthropy creates social capital that strengthens relationships and solidarity across civil society.
Effect of a low‐carbohydrate diet on pain and quality of life in female patients with lipedema: a randomized controlled trial
Authors: Lundanes Julianne , Sandnes Frida , Gjeilo Kari Hanne , Hansson Patrik , Salater Sissel , Martins Catia , Nymo Siren 
Published: April 2024

AbstractObjectiveThe primary objective of this study was to evaluate the effect of a low‐carbohydrate diet (LCD) compared with a control diet on pain in female patients with lipedema. The secondary objectives were to compare the impact of the two diets on quality of life (QoL) and investigate potential associations of changes in pain with changes in body weight, body composition, and ketosis.MethodsAdult female patients with lipedema and obesity were randomized to either the LCD or control diet (energy prescription: 1200 kcal/day) for 8 weeks. Body weight and body composition, pain (Brief Pain Inventory measured pain), and QoL (RAND 36‐Item Health Survey [RAND‐36], Impact of Weight on Quality of Life [IWQOL]‐Lite, and Lymphoedema Quality of Life [LYMQOL]) were measured at baseline and at postintervention.ResultsA total of 70 female patients (age, mean [SD], 47 [11] years; BMI 37 [5] kg/m2) were included. The LCD group had greater weight loss (−2.8 kg; 95% CI: −4.1 to −1.0; p < 0.001) and larger reduction in pain now (−1.1; 95% CI: −1.9 to −0.3; p = 0.009) compared with the control group. No association was found between changes in pain now and weight loss. Both groups experienced improvements in several QoL dimensions.ConclusionsDiet‐induced weight loss in women with lipedema can improve QoL. An energy‐restricted LCD seems to be superior to a standard control diet in reducing pain.
Recharging exhausted parents: How and when involvement in children's education increases working parents' flourishing at home and engagement at work
Authors: Wang Zhuojun , Bai Xinwen 
Published: April 2024

AbstractParental involvement in children's education is highly valued and encouraged in many societies. While existing research has mainly focused on the positive effects parental involvement has for children, we argue that engaging in such quality parent–child interactions can also be a resource‐gaining process for parents. Drawing on the conservation of resources theory and the work–home resources model, the current study aims to investigate how and when working parents' involvement in children's education enhances their well‐being at home and engagement at work. Using a two‐wave survey of 206 full‐time employees with at least one school‐aged child, our results indicate that for parents experiencing higher levels of parental burnout, involvement in their children's education enhances their flourishing experience at home and subsequently improves work engagement and creative process engagement at work. Overall, our study contributes to the well‐being and work–family interface literature by highlighting the positive effect of parental involvement, an underexplored construct, on working parents' well‐being both at home and in the workplace. This study also provides practical implications for burned‐out working parents that they can benefit from involving themselves in their children's education to cope with and thrive from family demands.
DREAMweb: An online tool for graph‐based modeling of NMR protein structure
Authors: Das Niladri Ranajan , Chaudhury Kunal Narayan , Pal Debnath 
Published: April 2024

AbstractThe value of accurate protein structural models closely conforming to the experimental data is indisputable. DREAMweb deploys an improved DREAM algorithm, DREAMv2, that incorporates a tighter bound in the constraint set of the underlying optimization approach. This reduces the artifacts while modeling the protein structure by solving the distance‐geometry problem. DREAMv2 follows a bottom‐up strategy of building smaller substructures for regions with a larger concentration of experimental bounds and consolidating them before modeling the rest of the protein structure. This improves secondary structure conformance in the final models consistent with experimental data. The proposed method efficiently models regions with sparse coverage of experimental data by reducing the possibility of artifacts compared to DREAM. To balance performance and accuracy, smaller substructures ( atoms) are solved in this regime, allowing faster builds for the other parts under relaxed conditions. DREAMweb is accessible as an internet resource. The improvements in results are showcased through benchmarks on 10 structures. DREAMv2 can be used in tandem with any NMR‐based protein structure determination workflow, including an iterative framework where the NMR assignment for the NOESY spectra is incomplete or ambiguous. DREAMweb is freely available for public use at http://pallab.cds.iisc.ac.in/DREAM/ and downloadable at https://github.com/niladriranjandas/DREAMv2.git.
Preliminary testing of “roadmap to parenthood” decision aid and planning tool for family building after cancer: Results of a single‐arm pilot study
Authors: Benedict Catherine , Ford Jennifer S. , Schapira Lidia , Davis Alexandra , Simon Pamela , Spiegel David , Diefenbach Michael 
Published: April 2024

AbstractObjectiveMany young adult female cancer survivors need to use reproductive medicine, surrogacy, or adoption to have a child. This study pilot tested Roadmap to Parenthood, a web‐based, self‐guided decision aid and planning tool for family building after cancer (disease agnostic).MethodsA single‐arm pilot study tested feasibility, acceptability, and obtained effect size estimates of the Roadmap tool. Participants, recruited via hospital‐based and social media strategies, completed a baseline survey (T1), accessed the Roadmap tool (website), then completed surveys at one‐ and 3‐months (T2 and T3, respectively). Feasibility and acceptability were evaluated with rates of eligibility, enrollment, and survey completion, and feedback. Pairwise t‐tests and repeated measures ANOVA evaluated usage effects. Effect size estimates were calculated.ResultsParticipants (N = 98) averaged 31 years old (SD = 5.61); 71% were nulliparous. Enrollment rate was 73%, T1‐T2 completion rate was 80%, and 93% accessed the website. From T1‐T2, participants reported improvements in decisional conflict (p < 0.001; Cohen's d = 0.85), unmet information needs (p < 0.001; Cohen's d = 0.70), self‐efficacy (p = 0.003; Cohen's d = 0.40), and self‐efficacy for managing negative emotions (p = 0.03; Cohen's d = 0.29); effects were sustained at T3. There was no change in reproductive distress (p = 0.22). By T3, 94% reported increased consideration of preparatory actions and 20%–61% completed such actions.ConclusionsThe Roadmap intervention was feasible to conduct, acceptable to users, and led to improvements in key psychosocial outcomes. Future directions will test intervention efficacy in a randomized controlled trial with a larger sample and over a longer period. A web‐based tool may help women make decisions about family building after cancer and prepare for potential challenges.
SimHOEPI: A resampling simulator for generating single nucleotide polymorphism data with a high‐order epistasis model
Authors: Li Yahan , Cai Xinrui , Shang Junliang , Zhang Yuanyuan , Liu Jin‐Xing 
Published: April 2024

AbstractEpistasis is a ubiquitous phenomenon in genetics, and is considered to be one of main factors in current efforts to unveil missing heritability of complex diseases. Simulation data is crucial for evaluating epistasis detection tools in genome‐wide association studies (GWAS). Existing simulators normally suffer from two limitations: absence of support for high‐order epistasis models containing multiple single nucleotide polymorphisms (SNPs), and inability to generate simulation SNP data independently. In this study, we proposed a simulator SimHOEPI, which is capable of calculating penetrance tables of high‐order epistasis models depending on either prevalence or heritability, and uses a resampling strategy to generate simulation data independently. Highlights of SimHOEPI are the preservation of realistic minor allele frequencies in sampling data, the accurate calculation and embedding of high‐order epistasis models, and acceptable simulation time. A series of experiments were carried out to verify these properties from different aspects. Experimental results show that SimHOEPI can generate simulation SNP data independently with high‐order epistasis models, implying that it might be an alternative simulator for GWAS.
Acute myocardial infarction with e‐cigarette or vaping‐use associated lung injury in a young Filipino vape user
Authors: Fernandez Margarita Isabel C. , Co Margaret Francine , Rafael Janine Bianca Marie , Mag‐usara Regiel Christian , Ediza Vanessa , Gavino Rafael Luis , Feliciano Jan Christian , Santos Nigel Jeronimo , Yano Mark Andrian , Huibonhoa Julian Alexander , Tiongco Richard Henry , Fernandez Lenora 
Published: April 2024

AbstractElectronic cigarettes (or e‐cigarettes) and vape products have multisystemic adverse effects despite being advertised as a safer smoking alternative and cessation device. We present a 22‐year‐old Filipino male with sudden chest pain. He had no known comorbidities but had a two‐year history of daily vape use. Work‐up revealed elevated cardiac markers, anteroseptal ST‐elevation myocardial infarction, hypokinesia of the anterior wall and interventricular septum, and an ejection fraction of 30%. Chest radiography showed consolidation pneumonia but culture studies and Biofire Pneumonia Panel were negative for microbial detection. Coronary angiography revealed chronic total obstruction of the mid‐left anterior descending (LAD) and right coronary arteries (RCA). Percutaneous coronary angioplasty of the LAD was done. The patient eventually required mechanical ventilation for progressive respiratory distress but expired after three hospital days despite medical management. This case highlights a possible association between vape use and the development of both acute lung injury and myocardial infarction.
Coffee, climate, community: A holistic examination of specialty coffee supply chains in Rwanda
Authors: van Kollenburg Geert , van Weert Paul 
Published: April 2024

AbstractRwanda has been a notable player in sustainable development in the last decades, particularly in light of its agricultural practices. This paper offers a multifaceted viewpoint on the challenges faced by Rwanda's specialty coffee sector. Our holistic approach to studying the situation and possibilities included fieldwork, site visits, informal interviews with various stakeholders, from farmers to governmental officials, and an extensive literature study to support our findings. We highlight the challenges of optimizing the domestic supply chain and the effects of such developments on rural livelihoods. Poverty and lacking resources require a nuanced view toward sustainability, as ecological and economic sustainability do not align. The paper presents how certification programs can function as indicators of sustainability and stresses the need for policy evaluations. We also discuss the unique challenges faced by smallholder farmers in Rwanda and how corporate interests may interfere with long‐term sustainable development. As Rwanda continues to develop, this paper argues that the resilience and ingenuity of its people are crucial in the ongoing development of sustainable agricultural systems.
Visible‐Light Photochromism of Polyoxometallate H4PMo11VO40 Composite Film Based on Polyvinylpyrrolidone with a Fast Response
Authors: Wang Zijing , Ai Limei , Liu Minghui , Wang Zeqing 
Published: April 2024

AbstractThe visible‐light photochromic composite films with a fast response were prepared by entrapping H4PMo11VO40 into polyvinylpyrrolidone (PVP) networks. PMo11V/PVP composite films’ structure and morphology were characterized by IR spectroscopy, XRD and TEM. The skeleton structure of PMo11V and PVP were still remained through IR spectroscopy analysis. The photochromism performance of PMo11V/PVP composite films were analyzed by UV‐vis absorption. The photochromic process showed a first‐order kinetics. Meanwhile, the mechanism of photochromism composite films was investigated by XPS. PMo11V/PVP composite films with excellent circulation ability of rising‐fading color which has good application potential.
Reusable Underwater Superoleophobic Polyacrylamide Membranes for Effective Oil‐Water Separation and Dye Removal
Authors: Padhan Arpita , Singh Vickramjeet 
Published: April 2024

AbstractWater contamination by oily wastes continues to rise with industrialization and pose a threat to marine ecosystem and public health. Water repellent special wettability membranes have been fabricated for oil removal. These superhydrophobic membranes have been fabricated utilizing hazardous chemicals such as fluorinated compounds, which again have shown toxicity. In contrast, environmentally friendly separation membranes are required for oily wastewater treatment. In this regard, we fabricated underwater superoleophobic membrane based on β‐cyclodextrin and acrylamide for efficient and effective water‐oil separation. Acrylamide polymeric membrane was prepared by free radical co‐polymerisation by incorporating acrylic acid and β‐cyclodextrin as monomer via crosslinking with N,N‐methylene bis‐acrylamide. FT‐IR and PXRD used for characterizing the prepared hydrogel and studied for morphological analysis by FE‐SEM. The oil and water wetting characterization of gels were evaluated, in ambient and submerged conditions. The dried gel showed gradual decrease of contact angle for both oil and water indicating liquid absorption with time. However, in completely water wetted state hydrogel was superoleophobic with a very high oil contact angle of ≥170°. The pre‐wetted hydrogel efficiently and effectively separated oil/water mixtures with ~99 % separation efficiency. Additionally, its effectiveness was monitored over several days of continuous separation operation. Interestingly, the hydrogel was also able to remove dye from water. The underwater superoleophobic acrylamide‐β‐cyclodextrin hydrogel demonstrated high oil recovery efficiency and indicated the potential for repeated oil‐water separation process.
Ductility and strength of reinforced concrete beams strengthened with aluminum CNC waste
Authors: Almeshal Ibrahim , Özkılıç Yasin Onuralp , Aksoylu Ceyhun , Karalar Memduh , Alharthai Mohammad 
Published: April 2024

AbstractThe sustainable utility of industrial waste and by‐products is crucial to reduce environmental impact. Particularly relevant for the cement and concrete industry, where recycling and utilization of industrial waste can help to replace normal concrete and promote stable growth. One such waste material is aluminum computer numerical control waste (ALCNCW). This study investigated the performance of reinforced concrete beams incorporated with ALCNCW. It was decided to use the effects of the ALCNCW ratio and the proportion of longitudinal reinforcement as parameters. A total of 12 reinforced concrete beams were cast and tested with varying levels of lower reinforcement ratios (0.0125, 0.0074, and 0.0032) and ALCNCW ratios (1%, 2%, and 3% by weight), in addition to a control beam. The load‐carrying capacity, failure mode, crack patterns, ductility, and serviceability were analyzed. The findings of the experiments demonstrated that the cracking and bending effects of reinforced concrete beams were different depending on the quantity of tension reinforcement and ALCNCW that was used. The results indicate that adding 1% or 2% of ALCNCW to concrete beams has a negligible effect on the load capacity. However, the ductility of the beams was adversely affected. Nevertheless, adding ALCNCW to the concrete mix can still be implemented with a specific ratio. Finally, all 12 beams met the serviceability limit state requirements.