bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social licence to cull: Examining scepticism toward lethal wildlife removal in cities
Authors: von Essen Erica , Redmalm David 
Published: July 2023

AbstractThe public may sometimes resist orders to cull wildlife, even when these pose a biosecurity threat. Managers and researchers desire to know why this is so.Research overwhelmingly focuses on the role of the species in conditioning resistance but our approach also shows the circumstances, settings, people responsible and methods used that undermine the legitimacy of the cull.We bring these together and use a social licence to operate (SLO) framework to demonstrate how support for wildlife culling in the context of biosecurity may be revoked. In the absence of SLO, resistance to wildlife culling can range from personal unease at seeing a cherished species or a neighbourhood fox being culled, to openly confronting the municipal hunter.By interviewing (n = 32) and following (n = 4) municipal hunter in Swedish cities who cull wildlife individuals or populations deemed to pose a threat to public health, safety or other societal interests, we uncover parameters by which culling wildlife are deemed to be problematic: who performs the culling, when the culling is done, how it is done and where it is done. This leads us to the concept of necroaesthetics: taboo ways of taking animal lives. In a unique perspective, we apprehend two forms of resistance: one that hunters attribute to the public and that of hunters' own unease at performing certain culling interventions. While the public and municipal hunters disagree, they also have similar criteria for opposing culls.We conclude by considering the future of theSLOof culling wildlife for biosecurity, including the subjective nature of its Revocation. This goes toward identifying parameters that make culls likely to produce controversy, hence granting some predictive value for managers in their planning.Read the freePlain Language Summaryfor this article on the Journal blog.
Children's Oncology Group's 2023 blueprint for research: Developmental therapeutics
Authors: Fox Elizabeth , Parsons D. Williams , Weigel Brenda J. ,   the Developmental Therapeutics Committee
Published: July 2023

AbstractThe Developmental Therapeutics Committee (DVL) identifies and develops new agents and treatment strategies for children/adolescents with cancer, through clinical and translational research. DVL has focused on evaluating the activity of targeted therapy and has evolved from trials with multiple histology strata to biomarker‐selected phase 2 trials. These trials have included single‐agent studies to evaluate agents such as cabozantinib in multi‐disease cohorts, to trametinib, larotrectinib, and lorvotuzumab in disease‐specific cohorts, as well as the pediatric Molecular Analysis for Therapy Choice (MATCH) study including multiple single agents targeted for biomarker‐selected pediatric tumors. The ongoing vision and direction of DVL is to support the disease committees of COG to develop novel agents and combinations to advance the care of children with cancer.
Out‐of‐plane compression properties and failure mechanism of gradient 3D woven composites
Authors: Liu Yang , Shan Zhongde , Liu Feng , Sun Zheng 
Published: July 2023

AbstractGradient three‐dimensional (3D) orthogonal preforms with low‐ and high‐density regions were manufactured through the flexible oriented 3D woven process (FO3DWP) at different fiber volume fractions and z‐yarn contents. The layer porosity distribution of preforms was regulated by modifying fiber tension and measured using micro‐computed tomography (micro‐CT) technology. After impregnation with epoxy resin, the out‐of‐plane compression properties of gradient 3D woven composites were evaluated. The results indicated that the out‐of‐plane compression strength could be improved by the gradient design. In particular, the gradient composite with a fiber volume fraction of 0.46 and z‐yarn volume fraction of 0.05 exhibited the highest compression strength at 470 MPa. Furthermore, failure morphologies were analyzed using micro‐fracture photographs and scanning electron microscopy (SEM). The gradient design efficiently protected the interface between z‐directional fibers and the matrix by minimizing z‐yarn bending. However, the compression strength of 3D woven composites decreased as the z‐yarn content increased from 0.05 to 0.15, due to the increased bending of the z‐directional fibers during the compression test.
Confirmation of n‐Hexane as an Inert Co‐Solvent in the Production of Functionalized Silicon Nanoparticles from Reactive High‐Energy Ball Milling
Authors: Vanegas Julie P. , Reusch Amanda , Fink Mark J. , Mitchell Brian S. 
Published: July 2023

AbstractAlkanes such as n‐hexane have been used as co‐solvents in the production of functionalized semiconductor nanoparticles from alkenes and alkynes using Reactive High Energy Ball Milling (RHEBM) under the assumption that they are non‐reactive under typical milling conditions. In this paper, a comparative study with two hydrocarbon solvents of comparable chain length, 1‐hexyne, and n‐hexane, and their milling products using three different commercially available silicon precursors, namely single crystal silicon wafers and polycrystalline particles having a nominal size of 4 µm and 1 mm, is reported. It is found that nanoparticle formation and surface functionalization in all the three silicon systems occurs only with 1‐hexyne; n‐hexane is non‐reactive and does not lead to appreciable functionalized nanoparticle formation under the conditions studied. Nanoparticles (where formed) and microparticle byproducts of appropriate samples are characterized by Transmission electronic microscope (TEM), Fourier transform infrared (FTIR), Photoluminiscence spectroscopy (PL), Nuclear magnetic resonance 1H/13C NMR, and thermogravimetry TGA to separately confirm nanoparticle formation and surface functionalization.
Predictive power of chest radiography for infectious or inflammatory lung disease
Authors: Hull Nate C. , Thacker Paul G. , Boesch Richard Paul 
Published: July 2023

AbstractObjectiveChildren frequently present with chronic cough, recurrent respiratory infections, and dysphagia. These symptoms are poor predictors of significant inflammatory lung disease, such as from chronic aspiration. Bronchoalveolar lavage (BAL) is the gold standard for identification of lung infection and airway inflammation but is expensive and requires sedation. Chest X‐rays (CXR) are inexpensive, low‐radiation tests that do not require sedations and can document findings associated with infectious or inflammatory lung disease. The accuracy of CXR to predict or exclude infectious or inflammatory lung disease has not been directly evaluated and is unknown.MethodsRetrospective cohort of all pediatric patients who underwent FFB with BAL within 2 weeks of a CXR. Blinded CXR images reviewed for findings consistent with inflammatory disease by two senior pediatric radiologists. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for CXR to identify significant inflammation and/or infection on BAL were calculated.ResultsThree hundred and forty‐four subjects included. Two hundred and sixty‐three had positive CXR (77%), 183 had inflammatory BAL (53%), and 110 had infection (32%). The sensitivity of CXR changes for BAL inflammation, infection, and either inflammation or infection was 84.7, 90.9, and 85.3, respectively. The PPV of CXR was 58.9, 38.0, and 59.7. The NPV of CXR was 65.0, 87.5, and 66.3.ConclusionsAlthough CXR are inexpensive, do not require sedation, and are of low radiation dose, the ability of an entirely normal CXR to exclude active inflammatory or infectious lung disease is limited.
An ankyrin repeat chaperone targets toxic oligomers during amyloidogenesis
Authors: Gupta Arpit , Lu Chuqi , Wang Feng , Chou Tsui‐Fen , Shan Shu‐ou 
Published: July 2023

AbstractNumerous age‐linked diseases are rooted in protein misfolding; this has motivated the development of small molecules and therapeutic antibodies that target the aggregation of disease‐linked proteins. Here we explore another approach: molecular chaperones with engineerable protein scaffolds such as the ankyrin repeat domain (ARD). We tested the ability of cpSRP43, a small, robust, ATP‐ and cofactor‐independent plant chaperone built from an ARD, to antagonize disease‐linked protein aggregation. cpSRP43 delays the aggregation of multiple proteins including the amyloid beta peptide (Aβ) associated with Alzheimer's disease and α‐synuclein associated with Parkinson's disease. Kinetic modeling and biochemical analyses show that cpSRP43 targets early oligomers during Aβ aggregation, preventing their transition to a self‐propagating nucleus on the fibril surface. Accordingly, cpSRP43 rescued neuronal cells from the toxicity of extracellular Aβ42 aggregates. The substrate‐binding domain of cpSRP43, composed primarily of the ARD, is necessary and sufficient to prevent Aβ42 aggregation and protect cells against Aβ42 toxicity. This work provides an example in which an ARD chaperone non‐native to mammalian cells harbors anti‐amyloidal activity, which may be exploited for bioengineering.
Prescribed‐time cooperative output regulation of heterogeneous multi‐agent systems
Authors: Liang Dong , Dong Yi , Wang Chaoli 
Published: July 2023

AbstractCooperative output regulation problem has been studied on the basis of an observer which is capable of estimating the state of the leader system in a distributed fashion. However, in the literature, the convergence rate is at best exponential with infinite settling time. To improve the transient performance of the closed‐loop system, a prescribed‐time distributed control law is synthesized to solve the cooperative output regulation problem for a class of linear multi‐agent systems with external disturbances. Different from existing works, we first design a distributed observer to estimate the state of the dynamic leader in the fixed time which is independent of the initial conditions. The design of such an observer extends the results from a homogeneous multi‐agent system to a heterogeneous one. And then a time‐varying distributed control law is designed on the basis of the parametric Lyapunov function technique. The efficiency of our design has been validated in the control of the lateral directional dynamics of aircraft systems.
Discovery of Phthalimide‐1,2,3‐triazole‐N‐phenylacetamide Hybrids as Potent α‐Glucosidase Inhibitors: Design, Synthesis, ADMET Prediction, and in vitro and in silico Enzymatic Evaluations
Authors: Gavanrudi Mahtab Rahmani , Halimi Mohammad , Najafzadehvarzi Hossein , Alikhani Majid , Moazzam Ali , Farzipour Soghra , Hosseini Samanesadat , Mojtabavi Somayeh , Faramarzi Mohammad Ali , Nasli‐Esfahani Ensieh , Mohammadi‐Khanaposhtani Maryam , Mahdavi Mohammad 
Published: July 2023

AbstractThirteen new derivatives of the phthalimide‐1,2,3‐triazole‐N‐phenylacetamide hybrids were synthesized via simple chemical reactions. These hybrids were evaluated for their inhibitory potential against α‐glucosidase in vitro and in silico. Among these thirteen derivatives, seven compounds showed excellent inhibition against studied enzyme (IC50 values=1.30−31.7 μM) as compared to positive control acarbose (IC50 value=750.1 μM) and among them, compound with 2,4‐dichloro substituent on the phenyl ring of N‐phenylacetamide moiety was identified as the most potent inhibitor against α‐glucosidase. This compound was almost 577‐fold more active than acarbose. Kinetic study on the most potent compound demonstrated that this compound is a competitive α‐glucosidase inhibitor. To understand the interaction mode, stability, and flexibility of the most potent compounds, molecular docking and molecular dynamics studies were conducted. Furthermore, the drug‐likeness, pharmacokinetic, and toxicity properties of the title compounds were predicted by in silico studies.
Designing CoHCF@FeHCF Core–Shell Structures to Enhance the Rate Performance and Cycling Stability of Sodium‐Ion Batteries
Authors: Pan Zu‐Tao , He Zheng‐Hua , Hou Jing‐Feng , Kong Ling‐Bin 
Published: July 2023

AbstractPrussian blue analogs are well suited for sodium‐ion battery cathode materials due to their cheap cost and high theoretical specific capacity. NaxCoFe(CN)6 (CoHCF), one of the PBAs, has poor rate performance and cycling stability, while NaxFeFe(CN)6 (FeHCF) has better rate and cycling performance. The CoHCF@FeHCF core–shell structure is designed with CoHCF as the core material and FeHCF as the shell material to enhance the electrochemical properties. The successfully prepared core–shell structure leads to a significant improvement in the rate performance and cycling stability of the composite compared to the unmodified CoHCF. The composite sample of core–shell structure has a specific capacity of 54.8 mAh g−1 at high magnification of 20 C (1 C = 170 mA g−1). In terms of cycle stability, it has a capacity retention rate of 84.1% for 100 cycles at 1 C, and a capacity retention rate of 82.7% for 200 cycles at 5 C. Kinetic analysis shows that the composite sample with the core–shell structure has fast kinetic characteristics, and the surface capacitance occupation ratio and sodium‐ion diffusion coefficient are higher than those of the unmodified CoHCF.
The Dynamics of Life model
Authors: MacGill Victor 
Published: July 2023

AbstractThis paper attempts to formulate a generic model of living and social system at all levels with three parts. The first is the Dynamics of Life diagram, which follows flows of energy, matter and information through the system. A rule set controls how the parts co‐operate to maintain internal and external processes. As a system acts, it creates the space for a shadow system that opposes it. Unmanaged entropy is expelled or remains as a toxic element.The second is the Tree of Life that outlines the levels of functioning in a human being from biological to psychological to social. Each level manifests the flows as in the Dynamics of Life diagram.The third explores the processes of living and social systems through time and borrows heavily from Holling and Gunderson's Adaptive Cycle. The three parts present an integrated overview of the functioning of living and social systems.
Dynamic characteristic measurement of precast and cast in‐situ walls in abandoned high‐rise building using ambient and forced vibration methods
Authors: Hang Le , Karunkritkul Kritcha , Prayoonwet Wanakorn , Jirawattanasomkul Tidarut , Likitlersuang Suched , Stitmannaithum Boonchai , Thammarak Punchet 
Published: July 2023

AbstractThis study evaluates the dynamic characteristics of an abandoned reinforced concrete building with structural deterioration and defects in its precast and cast in‐situ walls. Using ambient vibration and forced excitation, the dynamic characteristics (i.e., modal frequency, modal damping, and strain patterns) were extracted to evaluate existing performances. Then, the numerical modal analysis was conducted with the dynamic properties at the initial service stage since the joint degradation was not accounted. In general, modal frequency obtained from field measurement was approximately 19.8%–20.8% smaller than that obtained from the numerical analysis, indicating the degraded stiffness due to existing cracks at joint connections. In addition, the measured strain patterns and neutral axis location were eventually compared with the analytical results, proving the potential indicators for identifying local imperfections of the targeted high‐rise buildings.
Nanotechnology innovations for increasing the productivity of poultry and the prospective of nanobiosensors
Authors: Sadr Soheil , Lotfalizadeh Narges , Ghafouri Seyed Ali , Delrobaei Matineh , Komeili Nima , Hajjafari Ashkan 
Published: July 2023

AbstractNanotechnology is an innovative, promising technology with a great scope of applications and socioeconomic potential in the poultry industry sector. Nanoparticles (NPs) show the advantages of high absorption and bioavailability with more effective delivery to the target tissue than their bulk particles. Various nanomaterials are available in different forms, sizes, shapes, applications, surface modifications, charges and natures. Nanoparticles can be utilised in the delivery of medicines, targeting them to their right effective site in the body and, at the same time, decreasing their toxicity and side effects. Furthermore, nanotechnology can be beneficial in the diagnosis of diseases and prevention of them and in enhancing the quality of animal products. There are different mechanisms through which NPs could exert their action. Despite the vast benefits of NPs in poultry production, some concerns about their safety and hazardous effects should be considered. Therefore, this review article focuses on NPs’ types, manufacture, mechanism of action and applications regarding safety and hazard impact.
Ten recommendations for sarcoma surgery: consensus of the surgical societies based on the German S3 guideline “Adult Soft Tissue Sarcomas”
Authors: Jakob Jens , Andreou Dimosthenis , Bedke Jens , Denschlag Dominik , Dürr Hans Roland , Frese Steffen , Gösling Thomas , Graeter Thomas , Grünwald Viktor , Grützmann Robert , Hoffmann Jürgen , Juhasz-Boess Ingolf , Kasper Bernd , Kogosov Vlada , Knoefel Wolfram Trudo , Lehner Burkhard , Lehnhardt Marcus , Lindner Lars H. , Matthies Cordula , Sehouli Jalid , Ugurel Selma , Hohenberger Peter 
Published: July 2023

Abstract
Purpose
The evidence-based (S3) guideline “Adult Soft Tissue Sarcomas” (AWMF Registry No. 032/044OL) published by the German Guideline Program in Oncology (GGPO) covers all aspects of sarcoma treatment with 229 recommendations. Representatives of all medical specialties involved in sarcoma treatment contributed to the guideline. This paper compiles the most important recommendations for surgeons selected by delegates from the surgical societies.

Methods
A Delphi process was used. Delegates from the surgical societies involved in guideline process selected the 15 recommendations that were most important to them. Votes for similar recommendations were tallied. From the resulting ranked list, the 10 most frequently voted recommendations were selected and confirmed by consensus in the next step.

Results
The statement “Resection of primary soft tissue sarcomas of the extremities should be performed as a wide resection. The goal is an R0 resection” was selected as the most important term. The next highest ranked recommendations were the need for a preoperative biopsy, performing preoperative MRI imaging with contrast, and discussing all cases before surgery in a multidisciplinary sarcoma committee.

Conclusion
The evidence-based guideline “Adult Soft Tissue Sarcomas” is a milestone to improve the care of sarcoma patients in Germany. The selection of the top ten recommendations by surgeons for surgeons has the potential to improve the dissemination and acceptance of the guideline and thus improve the overall outcome of sarcoma patients.
Radiological Diagnosis of Chronic Liver Disease and Hepatocellular Carcinoma: A Review
Authors: Singh Sonit , Hoque Shakira , Zekry Amany , Sowmya Arcot 
Published: July 2023

AbstractMedical image analysis plays a pivotal role in the evaluation of diseases, including screening, surveillance, diagnosis, and prognosis. Liver is one of the major organs responsible for key functions of metabolism, protein and hormone synthesis, detoxification, and waste excretion. Patients with advanced liver disease and Hepatocellular Carcinoma (HCC) are often asymptomatic in the early stages; however delays in diagnosis and treatment can lead to increased rates of decompensated liver diseases, late-stage HCC, morbidity and mortality. Ultrasound (US) is commonly used imaging modality for diagnosis of chronic liver diseases that includes fibrosis, cirrhosis and portal hypertension. In this paper, we first provide an overview of various diagnostic methods for stages of liver diseases and discuss the role of Computer-Aided Diagnosis (CAD) systems in diagnosing liver diseases. Second, we review the utility of machine learning and deep learning approaches as diagnostic tools. Finally, we present the limitations of existing studies and outline future directions to further improve diagnostic accuracy, as well as reduce cost and subjectivity, while also improving workflow for the clinicians.
Predicting Volunteers’ Decisions to Stay in or Quit an NGO Using Neural Networks
Authors: de-Miguel-Molina Blanca , Boix-Domènech Rafael , Martínez-Villanueva Gema , de-Miguel-Molina María 
Published: July 2023

AbstractThis paper uses non-traditional approaches to predict why volunteers remain in or quit a non-governmental organisation position. A questionnaire featuring 55 predictors was conducted via an online survey mechanism from March to May 2021. A total of 250 responses were received. The subsequent data analysis compared logistic regression and artificial neural network results, using machine-learning interpreters to explain the features which determined decisions. The results indicate greater accuracy for neural networks. According to the logistic regression results, intrinsic motivation, volunteering through an NGO and the age of volunteers influenced the intention to remain. Moreover, NGOs that offered online volunteering opportunities during the COVID-19 pandemic had higher rates of intention to remain. However, the neural network analysis, performed using the Local Interpretable Model-Agnostic Explanations (LIME) method, indicated the need to consider different predictors to those identified by the logistic regression. The LIME method also enables the individualisation of the explanations of predictions, indicating the importance of considering the role of volunteers’ feelings in both quit and remain decisions, which is something that is not provided by traditional methods such as logistic regression. Furthermore, the LIME approach demonstrates that NGOs must address both volunteer management and experience to retain volunteers. Nonetheless, volunteer management is more critical to stop volunteers quitting, suggesting that volunteer integration is crucial.
Tuna sidestream valorization: a circular blue bioeconomy approach
Authors: Sasidharan Abhilash , Rustad Turid , Cusimano Giovanni M. 
Published: July 2023

AbstractTuna is an economically significant seafood, harvested throughout the world, and is heavily traded due to its high nutritional quality and consumer acceptance. Tuna meat is rich in essential nutrients such as amino acids, polyunsaturated fatty acids (PUFA), and trace minerals. The huge volume of solid and liquid sidestreams generated during the processing stages of tuna is creating environmental and socioeconomic challenges in coastal areas. Different products such as fish meal, protein hydrolysates, collagen, enzymes, oil, and bone powder can be produced from tuna sidestreams. Using different nutrient recovery technologies like enzymatic hydrolysis, chemical processing, and green technologies, various categories of product value chains can be created in line with the conventional processing industry. This review attempts to provide a route map for the tuna industry for achieving the circular blue-bioeconomic objectives and reorient the irregular utilization pattern into a sustainable and inclusive path.