bluuebunny/crossref_metadata_2025_split huggingface dataset:
Selecting technologies to engage in sustainability transitions—A multi‐stakeholder perspective
Authors: Block Carolin , Rennings Michael , Bröring Stefanie 
Published: December 2022

AbstractGiven the need for systemic changes to reach a sustainability transition from a fossil‐based toward a bio‐based economy, it is crucial to align different actors' expectations along the value chain when developing and commercializing sustainability‐oriented technologies (SOTs). To analyze what different actors along the value chain look for when selecting SOTs, this study draws upon a group concept mapping approach based on a group discussion and a subsequent sorting and rating process of selection criteria. Applied to the case of the bio‐based economy, this study seeks to aggregate the perceptions of four different stakeholder groups along the value chain, that is, (1) agricultural and feedstock, (2) (bio)chemical, (3) consumer industries, and (4) consultancies and networks. We derive 11 different categories subsuming 59 criteria that have been perceived as relevant when selecting SOTs. Results show that selection criteria related to the future competitiveness, the public acceptance, and the sustainability aspects of the technology are perceived as highly relevant for most actors when selecting SOTs. Further, we summarize the 11 categories into four dimensions involving (1) market environment and viability, (2) corporate strategy and technology integration, (3) capabilities and knowledge exchange, and (4) institutional and regulatory frames related criteria. We contribute to sustainability transition literature by providing, first, a conceptual framework for relevant selection criteria of SOTs from a value chain spanning perspective; and second, areas of coherence versus noncoherence in technology evaluation across different value chain actors allowing targeted support initiatives to facilitate the technology transfer in the context of sustainability transitions.
How do supply chain managers perceive the relationship between resilience and sustainability practices? An exploratory study
Authors: Cotta Diogo , Klink Lester , Alten Thorsten , Al Madhoon Belal 
Published: December 2022

AbstractEven though resilience and sustainability are the two overarching strategic goals of contemporary supply chain management, very few studies have investigated the relationship between resilience and sustainability practices. To increase our theoretical understanding of this important relationship, this paper examines the extent to which supply chain managers perceive tensions and complementarities between both sets of practices. Using a paradox theory lens, the paper conducted in‐depth interviews with 31 supply chain managers in Western Europe and the Middle East that reveal a complex and multifaceted relationship. Namely, our findings indicate that some supply chain managers perceive the relationship as conflictive, others as synergistic, whereas a third group sees them as fundamentally orthogonal to each other. Furthermore, our findings uncover specific perceived complementarities and tension areas. Taken together, in responding to calls for research on the topic, our findings contribute to the advancement of theory regarding supply chain resilience and supply chain sustainability practices and address the need to shed more light on the tensions faced by supply chain managers when implementing distinct sets of supply chain practices.
Introducing Nanozymes: New Horizons in Periodontal and Dental Implant Care
Authors: Zhu Bijun , Li Linfeng , Wang Bao , Miao Leiying , Zhang Jinli , Wu Jiangjiexing 
Published: December 2022

AbstractThe prevalence of periodontal and peri‐implant diseases has been increasing worldwide and has gained a lot of attention. As multifunctional nanomaterials with enzyme‐like activity, nanozymes have earned a place in the biomedical field. In periodontics and implantology, nanozymes have contributed greatly to research on maintaining periodontal health and improving implant success rates. To highlight this progress, we review nanozymes for antimicrobial therapy, anti‐inflammatory therapy, tissue regeneration promotion, and synergistic effects in periodontal and peri‐implant diseases. The future prospects of nanozymes in periodontology and implantology are also discussed along with challenges.
Successful management of delayed presentation of massive paracetamol overdose in a resource‐limited setting: A case report from Nepal
Authors: Lamichhane Pratik , Pokhrel Kailash Mani , Bhandari Bijay , Agrawal Anushka , Ghimire Bhumika , Shilpakar Olita 
Published: December 2022

AbstractWe present a case of self‐poisoning with a massive dose of paracetamol by a young Nepalese female patient who presented late to our emergency department. This report highlights the successful management of the patient with the extended use of N‐acetylcysteine over 4 days and continuous supportive therapy as required. The case is an example of the management of delayed presentation of a massive paracetamol poisoning in a resource‐limited setting, where intensive care units and hemodialysis facilities are not easily available. However, when available, massive poisoning should always be managed in continuous monitoring units under the expertise of a toxicologist.
Synthesis of Ketonylated Carbocycles via Excited‐State Copper‐Catalyzed Radical Carbo‐Aroylation of Unactivated Alkenes
Authors: Sarkar Satavisha , Banerjee Arghya , Ngai Ming‐Yu 
Published: December 2022

AbstractCarbocycles are core skeletons in natural and synthetic organic compounds possessing a wide diversity of important biological activities. Herein, we report the development of an excited‐state copper‐catalyzed radical carbo‐aroylation of unactivated alkenes to synthesize ketonylated tetralins, di‐ and tetrahydrophenanthrenes, and cyclopentane derivatives. The reaction is operationally simple and features mild reaction conditions that tolerate a broad range of functional groups. Preliminary mechanistic studies suggest a reaction pathway beginning with photoexcitation of Cu catalyst and followed by a single electron transfer (SET), radical aroylation of unactivated alkenes, radical cyclization, and re‐aromatization, affording the desired ketonylated carbocycles.
Ethanol Electrooxidation on Nickel Foam Arrayed with Templated PdSn; From Catalyst Fabrication to Electrooxidation Dominance Route
Authors: Kamyabi Mohammad Ali , Jadali Salma , Alizadeh Taher 
Published: December 2022

AbstractIn the present work, the performance of templated Pd‐based catalysts (TPL.Pd1Snx/NF) with different atomic ratio on the alkaline electrooxidation of ethanol was investigated. The superb mass activity (3246.6 mA mg−1Pdcompared with 289.9 mA mg−1Ptfor state of the art commercial Pt/C) as well as preferable long time stability, anti‐poisoning property, and conductivity of the optimum structure (TPL.Pd1Sn20/NF) towards electrooxidation of ethanol were proved by electrochemical experiments. The comparative study of electrocatalytic oxidation of acetaldehyde on the surface of TPL.Pd1Sn20/NF and TPL.Pd/NF exhibited that the presence of tin in the structure of TPL.Pd1Sn20/NF not only substantially promoted C1 pathway but also appreciably prevented the aldol condensation and deactivation during the electrooxidation of ethanol.
Temperature‐Assisted Generation of Arylmethyl Radicals from Bis(arylmethyl)tin Dichlorides: Efficient Reagents for − Bond‐Forming Reactions
Authors: Dhanwant Kisturi , Saini Aarti , Chivers Tristram , Thirumoorthi Ramalingam 
Published: December 2022

AbstractThe oxidative‐addition reaction between an arylmethyl chloride (RCH2Cl; R=1‐C10H7, 2,4,6‐Me3C6H2, 4‐MeC6H4, 3‐MeC6H4, C6H5, 4‐ClC6H4) and tin powder in boiling toluene produces bis(arylmethyl)tin dichlorides, [(RCH2)2SnCl2] in good yields. At 160 °C in mesitylene bis(1‐naphthylmethyl)tin dichloride undergoes Sn−C homolytic cleavage to generate two 1‐naphthylmethyl radicals (1‐C10H7CH2⋅) which were trapped by TEMPO (C9H8NO⋅). Subsequently, the radicals (RCH2⋅) produced in this manner were utilized for efficient substitution reactions with electron‐rich arenes (R′H; R′=2,4,6‐Me3C6H2, 1,2,4,5‐Me4C6H, 1,2,3,4,5‐Me5C6) to obtain a variety of unsymmetrical diarylmethanes (RR′CH2). The addition of one equivalent of iodine (I2) to the reaction mixture resulted in a significant increase in the yields of coupled products.
Hierarchically Organized Cocrystal of Tetra‐Anionic Porphyrin and Di‐Cationic Viologen: Ion Conformations, Supramolecule Interactions, and Porphyrin Arrays
Authors: Zeng Dong , Hu Hui‐Fen , Ming Jiang‐Bo , Wang Wei 
Published: December 2022

AbstractIonic co‐assembly of tetra‐anionic porphyrins has been extensively researched in the construction of hierarchically organized architectures with potential application value in organic semiconductors, sunlight catalysts and supramolecular chirality systems. However, such architectures are difficult to grow to a size suitable for single‐crystal X‐ray diffraction (SCXRD); the lack of single‐crystal structures of these architectures leads to challenges in gaining deeper comprehension about that. This study reports a hierarchically organized cocrystal of meso‐tetra(4‐sulfonato‐phenyl)‐porphyrin (TSPP4−) and N, N′‐diethyl‐viologen (DEV2+), wherein wave‐like and saddle‐like TSPP4− ions co‐aggregate at a stoichiometric ratio of 1 : 2 to form unique porphyrin arrays; the spectrum characteristics and calculated coulombic exciton coupling energy show that these porphyrin arrays are J‐aggregates. We prove that the distortion of porphyrin ring of TSPP4− strongly correlates with the deflection of its phenyl groups. The crystal comprises six different ionic conformations, and the multiplicity of ionic conformation leads to intricate supramolecular interactions.
DBU‐Mediated Isomerization/6‐π Electro‐Cyclization/Oxidation Cascade of Sulfonyl‐Substituted Allenyl Ketones for the Construction of Hetero‐1,3,5‐Trisubstituted Benzene**
Authors: Wang Lihong , Ma Ruiyang , Xia Jiuli , Liu Ximin , Sun Jiaqiong , Zheng Guangfan , Zhang Qian 
Published: December 2022

Abstract1,3,5‐tri‐substituted benzene rings emerged with unique properties has widespread applications in materials, boosting the rapid development of their synthesis. Despite the significance, the direct construction of hetero‐1,3,5‐trisubstituted benzene core was far less‐developed. Herein, we realized a DBU‐mediated isomerization/6‐π electro‐cyclization/oxidative aromatization cascade of sulfonyl‐substituted allenyl ketones under an air atmosphere (DBU=1,8‐diazabicyclo[5.4.0]undec‐7‐ene). This versatile protocol featured metal‐free conditions, easy operation, and broad functional group tolerance provides a new avenue for the construction of hetero‐1,3,5‐tri‐substituted benzene.
Associations of siesta and total sleep duration with hypertension or cardiovascular diseases in middle‐aged and older adults
Authors: Lin Ling , Huang Jingyi , Liu Zixuan , Chen Pengfei , Huang Canyan 
Published: December 2022

AbstractBackgroundWhether the ratio of siesta duration in the total sleep duration was associated with the occurrence of hypertension or cardiovascular diseases (CVDs) was unclear.HypothesisTo explore the associations of siesta, and siesta ratio with hypertension or CVDs in middle‐aged and older adults.MethodsThis cohort study collected the data of 9247 middle‐aged and older adults. The associations of siesta, and siesta ratio with hypertension were analyzed in 7619 participants while the associations of siesta, and siesta ratio with CVDs were analyzed in 8685 participants via univariate and multivariate logistic regression analysis.ResultsTotal sleep duration < 6 h (odd ratio [OR] = 1.168, 95% confidence interval [CI]: 1.023−1.335) and siesta ratios ≥ 0.4 (OR = 1.712, 95% CI: 1.129–2.594) were associated with increased risk of hypertension in middle‐aged and older adults. Siesta ratio ≥ 0.4 was linked with higher risk of hypertension in males aged ≥ 60 years and total sleep duration < 6 h was correlated with elevated risk of hypertension in males < 60 years. The risk of CVDs was elevated in people with siesta duration < 0.5 h (OR = 2.053, 95% CI: 1.323−3.185). In females ≥60 years, the sleep duration at night < 6 h was associated with increased risk of CVDs. In females < 60 years, increased risk was observed in those with siesta duration < 0.5 h and sleep duration at night < 6 h.ConclusionShort sleep duration or high siesta ratio were associated with higher risk of hypertension. Short siesta duration, sleep duration at night or total sleep duration were correlated with an elevated risk of CVDs.
Mixed‐integer quadratic programming approach for noninvasive estimation of respiratory effort profile during pressure support ventilation
Authors: Victor Marcus H. , Maximo Marcos R. O. A. , Matsumoto Monica M. S. , Pereira Sérgio M. , Tucci Mauro R. 
Published: December 2022

AbstractInformation about respiratory mechanics such as resistance, elastance, and muscular pressure is important to mitigate ventilator‐induced lung injury. Particularly during pressure support ventilation, the available options to quantify breathing effort and calculate respiratory system mechanics are often invasive or complex. We herein propose a robust and flexible estimation of respiratory effort better than current methods. We developed a method for non‐invasively estimating breathing effort using only flow and pressure signals. Mixed‐integer quadratic programming (MIQP) was employed, and the binary variables were the switching moments of the respiratory effort waveform. Mathematical constraints, based on ventilation physiology, were set for some variables to restrict feasible solutions. Simulated and patient data were used to verify our method, and the results were compared to an established estimation methodology. Our algorithm successfully estimated the respiratory effort, resistance, and elastance of the respiratory system, resulting in more robust performance and faster solver times than a previously proposed algorithm that used quadratic programming (QP) techniques. In a numerical simulation benchmark, the worst‐case errors for resistance and elastance were 25% and 23% for QP versus <0.1% and <0.1% for MIQP, whose solver times were 4.7 s and 0.5 s, respectively. This approach can estimate several breathing effort profiles and identify the respiratory system's mechanical properties in invasively ventilated critically ill patients.
Hydrothermally Developed ZnC2O4.2H2O Nanocrystals as Efficient Copper‐free Catalyst for the Synthesis of 1,4‐Disubstituted 1,2,3‐Triazoles in Water
Authors: Gogoi Priyanka , Bhattacharyya Bishal , Chakravorty Vishal , Garg Anirban , Hazarika Priyanuj Krishnann , Deori Kalyanjyoti , Sarma Diganta 
Published: December 2022

AbstractIn this work, we report the synthesis of nanostructured ZnC2O4.2H2O with irregular sheet‐like morphology using a simple hydrothermal procedure. The as‐synthesized ZnC2O4.2H2O nanocrystal (ZnC2O4 NC) is very stable and therefore, explored for the first time as highly efficient recyclable catalyst for the azide‐alkyne cycloaddition (AAC) reaction. Our catalytic protocol is highly efficient and amenable to a variety of aromatic/aliphatic azide and alkyne substrates under mild reaction condition to afford regioselective 1,4‐disubstituted 1,2,3‐triazoles with good to excellent yields. Also, for the one pot synthesis of desired products, the developed method is exceedingly sustainable where azides are formed in‐situ from their respective precursors. Our catalytic results outperformed most of the reported state‐of‐the‐art works involving copper free nanoparticulate and zinc‐based catalysts. All the original features of the recovered catalyst remained intact after 5th catalytic cycle which clearly suggests the efficiency of the Zn‐based stable nanostructured material as alternative copper free catalysts for AAC reactions. The developed methodology could be extended for gram‐scale synthesis of 1,2,3‐triazoles.
Screening for obstructive sleep apnoea in post‐treatment cancer patients
Authors: Subramanian Harini , Fuchsova Veronika , Elder Elisabeth , Brand Alison , Howle Julie , DeFazio Anna , Mann Graham J. , Amis Terence , Kairaitis Kristina 
Published: December 2022

AbstractBackground and aimsFor cancer patients, comorbid obstructive sleep apnea (OSA) poses additional risk to their surgical/anaesthetic outcomes, quality of life, and survival. However, OSA screening is not well‐established in oncology settings. We tested two screening tools (STOP‐Bang questionnaire [SBQ] and the at‐home monitoring device, ApneaLink™Air), for predicting polysomnography (PSG) confirmed OSA in post‐treatment cancer patients.MethodsBreast (n = 56), endometrial (n = 37) and melanoma patients (n = 50) were recruited from follow‐up clinics at Westmead Hospital (Sydney, Australia). All underwent overnight PSG, 137 completed SBQ, and 99 completed ApneaLink™Air. Positive (PPV) and negative (NPV) predictive values for PSG‐determined moderate‐to‐severe OSA and severe OSA, were calculated using an SBQ threshold ≥3 au and ApneaLink™Air apnoea‐hypopnea index thresholds of ≥10, ≥15 and ≥30 events/h.ResultsBoth SBQ and ApneaLink™Air had high NPVs (92.7% and 85.2%–95.6% respectively) for severe OSA, but NPVs were lower for moderate‐to‐severe OSA (69.1% and 59.1%–75.5%, respectively). PPV for both tools were relatively low (all <73%). Combining both tools did not improve screening performance.ConclusionsThese screening tools may help identify cancer patients without severe OSA, but both are limited in identifying those with moderate‐to‐severe or severe OSA. PSG remains optimal for adequately identifying and managing comorbid OSA in cancer patients.
A hybrid machine learning technique for early prediction of lung nodules from medical images using a learning‐based neural network classifier
Authors: Syed Musthafa A. , Sankar K. , Benil T. , Rao Yamarthi Narasimha 
Published: December 2022

SummaryLung cancer is one of the major causes of death in the world, according to radiologists. However, a constant flow of medical images to hospitals is forcing radiologists to focus on accurate early prediction of nodules. Recently, several image‐processing techniques have cooperated for the early prediction of lung nodules. However, it's hard to detect strong nodes because of lung node diversity and environmental complexity. This study presents a hybrid machine learning technique for predicting an early prognosis of lung nodules from clinical images using a learning‐based neural network classifier. First, we introduce an improved snake swarm optimization with a bat model (ISSO‐B) for lung nodule segmentation using statistical information. Second, we demonstrate a chaotic atom search optimization (CASO) algorithm to select the optimal best features among multiple features, which minimize the dimensionality problem. Third, we develop a hybrid learning‐based deep neural network classifier (L‐DNN) for nodule prediction and classification. Finally, we evaluate our proposed technique with different public datasets LIDC‐IDRI and FAH‐GMU. Then, performance can be compared with the latest technology in terms of accuracy, sensitivity, specificity, and area under curve (AUC).
Brassica carinata nutrient accumulation and partitioning across maturity types and latitude
Authors: Bashyal Mahesh , Mulvaney Michael J. , Crozier Carl R. , Iboyi Joseph E. , Perondi Daniel , Post Angela , Iskandar Keola , Leon Ramon G. , Landry Gabriel M. , Wilson Chris , Boote Kenneth J. , Devkota Pratap 
Published: December 2022

AbstractAs a recently introduced crop in the United States, there are limited data regarding temporal nutrient accumulation and partitioning dynamics of Brassica carinata (carinata). A four site‐year study was conducted in Jay, FL and Salisbury, NC during the 2018–2019 and 2019–2020 growing seasons. Three carinata genotypes (DH‐157.715, M‐01, and Avanza 641) proposed by the industry to represent early‐, mid‐, and full‐season genotypes, respectively, were sampled at multiple growth stages and partitioned into leaves, stems, reproductive parts (flowers plus pods), and seed to determine biomass and nutrient accumulation across three genotypes in Florida and one full season genotype in North Carolina. Averaged over two site‐years and genotypes in Florida, accumulation (per ha) of 169 kg N, 22 kg P, 160 kg K, 58 kg S, 475 g Zn, and 218 g B was required to produce 1635 and 10,872 kg ha−1 of seed yield and biomass, respectively. Nutrients with high harvest index values included P (60%), N (55%), S (32%), and Mg (29%). Averaged over two site‐years in North Carolina, accumulation (per ha) of 178 kg N, 26 kg P, 87 kg K, 24 kg S, 416 g Zn, and 127 g B produced 2428 and 9102 kg ha−1 of seed yield and biomass, respectively. Nutrients with greatest harvest index values were P (57%), N (50%), S (32%), and Mg (26%). Internal efficiency of N, P, and K, measured as slopes of seed yield regressions over nutrient uptake across all genotypes and locations were 16, 83, and 8 kg seed yield per kg N, P, and K uptake, respectively. These results describe temporal nutrient accumulation and partitioning in carinata and are critical to refine nutrient management strategies and guide fertilizer application decisions.
A Dual Fluorescence Assay Enables High‐Throughput Screening for Poly(ethylene terephthalate) Hydrolases
Authors: Liu Kun , Xu Ziping , Zhao Zhiyi , Chen Yuexing , Chai Yating , Ma Li , Li Shengying 
Published: December 2022

AbstractThe drastically increasing consumption of petroleum‐derived plastics hasserious environmental impacts and raises public concerns. Poly(ethylene terephthalate) (PET) is amongst the most extensively produced synthetic polymers. Enzymatic hydrolysis of PET recently emerged as an enticing path for plastic degradation and recycling. In‐lab directed evolution has revealed the great potential of PET hydrolases (PETases). However, the time‐consuming and laborious PETase assays hinder the identification of effective variants in large mutant libraries. Herein, we devise and validate a dual fluorescence‐based high‐throughput screening (HTS) assay for a representative IsPETase. The two‐round HTS of a pilot library consisting of 2850 IsPETase variants yields six mutant IsPETases with 1.3–4.9 folds improved activities. Compared to the currently used structure‐ or computational redesign‐based PETase engineering, this HTS approach provides a new strategy for discovery of new beneficial mutation patterns of PETases.
Two‐port network compact representation of resonator arrays for wireless power transfer with variable receiver position
Authors: Sandrolini Leonardo , Simonazzi Mattia , Barmada Sami , Fontana Nunzia 
Published: December 2022

SummaryThis paper presents an equivalent circuit characterization of an array of resonators for wireless power transfer (WPT) applications. These apparatuses are composed of magnetically coupled resonant coils acting as a transmitter which feeds a receiver coil that can be placed over them at any position, allowing the tolerance of the system to the receiver misalignment to be dramatically enhanced. This advantage makes resonator arrays a suitable solution for both low‐ and high‐power applications. The latter usually involve battery charging, with the resonator array acting as a transformer stage, ensuring galvanic isolation. An equivalent two‐port network can be defined for any receiver position, allowing the array to be treated as a traditional transformer. Thereby, the simulation of the system can be simplified, as it is required in the design steps of a converter and control strategy. Analytical expressions of the two‐port network parameters are proposed for arrays of any size and length. The formulas have been numerically and experimentally validated.