bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prolonged viral shedding in an immunocompromised Korean patient infected with hMPXV, sub‐lineage B.1.3, with acquired drug resistant mutations during tecovirimat treatment
Authors: Lee Minji , Choi Chi‐Hwan , Kim Jin‐Won , Sim Gyuri , Lee Sang Eun , Shin Hwachul , Lee Jeong hyun , Choi Myung‐Min , Yi Hwajung , Chung Yoon‐Seok 
Published: March 2024

AbstractFollowing the worldwide surge in mpox (monkeypox) in 2022, cases have persisted in Asia, including South Korea, and sexual contact is presumed as the predominant mode of transmission, with a discernible surge in prevalence among immunocompromised patients. Drugs such as tecovirimat can result in drug‐resistant mutations, presenting obstacles to treatment. This study aimed to ascertain the presence of tecovirimat‐related resistant mutations through genomic analysis of the monkeypox virus isolated from a reported case involving prolonged viral shedding in South Korea. Here, tecovirimat‐resistant mutations, previously identified in the B.1 clade, were observed in the B.1.3 clade, predominant in South Korea. These mutations exhibited diverse patterns across different samples from the same patient and reflected the varied distribution of viral subpopulations in different anatomical regions. The A290V and A288P mutant strains we isolated hold promise for elucidating these mechanisms, enabling a comprehensive analysis of viral pathogenesis, replication strategies, and host interactions. Our findings imply that acquired drug‐resistant mutations, may present a challenge to individual patient treatment. Moreover, they have the potential to give rise to transmitted drug‐resistant mutations, thereby imposing a burden on the public health system. Consequently, the meticulous genomic surveillance among immunocompromised patients, conducted in this research, assumes paramount importance.
Age‐dependent changes in collagen crosslinks reduce the mechanical toughness of human meniscus
Authors: Nesbitt Derek Q. , Pu Xinzhu , Turner Matthew W. , Zavala Anamaria G. , Bond Laura , Oxford Julia T. , Lujan Trevor J. 
Published: March 2024

AbstractThe mechanical resilience of the knee meniscus is provided by a group of structural proteins in the extracellular matrix. Aging can alter the quantity and molecular structure of these proteins making the meniscus more susceptible to debilitating tears. In this study, we determined the effect of aging on the quantity of structural proteins and collagen crosslinks in human lateral meniscus, and examined whether the quantity of these molecules was predictive of tensile toughness (area under the stress‐strain curve). Two age groups were tested: a young group under 40 and an older group over 65 years old. Using mass spectrometry, we quantified the abundance of proteins and collagen crosslinks in meniscal tissue that was adjacent to the dumbbell‐shaped specimens used to measure uniaxial tensile toughness parallel or perpendicular to the circumferential fiber orientation. We found that the enzymatic collagen crosslink deoxypyridinoline had a significant positive correlation with toughness, and reductions in the quantity of this crosslink with aging were associated with a loss of toughness in the ground substance and fibers. The non‐enzymatic collagen crosslink carboxymethyl‐lysine increased in quantity with aging, and these increases corresponded to reductions in ground substance toughness. For the collagenous (Types I, II, IV, VI, VIII) and non‐collagenous structural proteins (elastin, decorin, biglycan, prolargin) analyzed in this study, only the quantity of collagen VIII was predictive of toughness. This study provides valuable insights on the structure‐function relationships of the human meniscus, and how aging causes structural adaptations that weaken the tissue's mechanical integrity.
One‐bite‐sized 3D printed finger foods, oriented to malnutrition, sarcopenia and frailty prevention in the older people
Authors: Kurapkienė Aušrinė , Vinauskienė Rimantė , Jasutienė Ina , Damulevičienė Gytė , Knašienė Jurgita , Lesauskaitė Vita , Sulmont‐Rossé Claire , Eisinaitė Viktorija , Leskauskaitė Daiva 
Published: March 2024

AbstractBACKGROUNDIn this study, innovative chocolate, citrus and mixture flavoured tofu‐based nutritionally customised, dysphagia‐oriented, comfortably consumed, appetising, one‐bite‐sized finger foods, oriented to malnutrition, sarcopenia and frailty prevention in older people were created by using 3D printing technology. Developed products were characterised by evaluating chemical composition and physical properties and performing sensory evaluation among geriatric clinic residents (≥60 years).RESULTSThe dietary composition of the developed foods was: 19–21 g (100 g)−1 protein, 6–8 g (100 g)−1 fibre, 8–9 g (100 g)−1 fat, 11 mg (100 g)−1 iron, 14 mg (100 g)−1 zinc, 70 μg (100 g)−1 selenium. Foods were also enriched with branched‐chain amino acids, such as leucine, isoleucine and valine. All formulated foods were classified as level 6 by International Dysphagia Diet Standardisation Initiative classification. Chocolate‐flavoured food was much harder (4914 g) with lower adhesiveness value (−33.6 g s), compared to the citrus‐ or mixture‐flavoured foods. Older people evaluated all finger foods as very easy handled by hand, soft, easy to swallow, having a moderate flavour intensity and a weak afterfeel. Despite the fact that the chocolate food was evaluated as having the highest hardness and gumminess values by the instrumental method, this difference was not noticeable to the evaluators. However 7% of the participants said that 3D printed foods were sticky to dentures.CONCLUSIONThe results suggest that it is possible to create nutrient‐dense comfortably consumed 3D printed foods, oriented to malnutrition, sarcopenia and frailty prevention in older people. © 2024 Society of Chemical Industry.
Natural landscape performance: Environmental restorativeness and its influence on tourist behavior
Authors: Chen Xiaohua , Lee Gyehee , Joo Dongoh 
Published: March 2024

AbstractThis study uses environmental psychology theory to explore creative natural landscape performance (NLP), a form of tourism performing arts that combines natural beauty and cultural resources. Tourists who had experienced an NLP during the previous 2 years were surveyed, and 408 valid responses were collected through this online survey. The findings indicate that the natural setting of NLPs possesses the key characteristics of restorative environments. Further, the five dimensions of a restorative environment positively affect favorable emotions (i.e., happy, excited, relaxed) in the order of compatibility, being away, fascination, scope, and coherence of the performance. Positive emotions have a positive and substantial influence on the quality of the experience and its perceived flow. Additionally, quality of experience and perceived flow has direct and positive impacts on loyalty. Therefore, this study suggests utilizing and improving natural environments' restorative qualities to enhance NLPs for tourists and foster destination loyalty based on this.
Superiority of kinematic alignment over mechanical alignment in total knee arthroplasty during medium‐ to long‐term follow‐up: A meta‐analysis and trial sequential analysis
Authors: Wang Guiguan , Chen Long , Luo Fenqi , Luo Jun , Xu Jie 
Published: March 2024

AbstractPurposeTo compare and determine the reliability and conclusiveness of the medium‐ and long‐term efficacy in terms of patient‐reported outcome measures and the risk of revisions or reoperations (RRRs) of kinematic alignment (KA) and mechanical alignment (MA) in total knee arthroplasty.MethodsA comprehensive search was conducted in Medline, EMBASE, Web of Science and Cochrane Database Library to identify relevant literature. Only randomised clinical trials (RCTs) published before July 2023 were included. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Oxford Knee Score (OKS), Forgotten Joint Score (FJS) and RRR were compared. Additionally, OKS and RRR were subjected to a trial sequential analysis.ResultsSeven RCTs involving 572 knees were identified. The pooled analysis of the included studies demonstrated that KA showed better medium‐term WOMAC and OKS (mean difference [MD] = −6.3, 95% confidence interval [CI]: −9.52 to −2.99, p < 0.05 and MD = 1.1, 95% CI: 0.05–2.15, p < 0.05), respectively), but no significant differences were observed in the long‐term follow‐up (MD = 2.1, 95% CI: −3.21 to 7.31, not significant [n.s.] and MD = 0.01, 95% CI: −2.43 to 2.46, n.s., respectively). FJS (standardised MD = −0.03, 95% CI: −0.25 to 0.19, n.s.) and RRR (risk ratio = 1.0, 95% CI: 0.57 to 1.74, n.s.) showed no significant intergroup differences (n.s.). The evidence quality ranged from moderate to high, and the trial sequential analysis indicated the need for additional high‐quality RCTs to draw more conclusive results.ConclusionsKA showed better medium‐term WOMAC and OKS, while KA and MA had similar FJS without increasing the RRR in medium‐ and long‐term follow‐up. Further research is needed for more conclusive results.Level of EvidenceLevel II (meta‐analyses).
From technical to understandable: Artificial Intelligence Large Language Models improve the readability of knee radiology reports
Authors: Butler James J. , Puleo James , Harrington Michael C. , Dahmen Jari , Rosenbaum Andrew J. , Kerkhoffs Gino M. M. J. , Kennedy John G. 
Published: March 2024

AbstractPurposeThe purpose of this study was to evaluate the effectiveness of an Artificial Intelligence‐Large Language Model (AI‐LLM) at improving the readability of knee radiology reports.MethodsReports of 100 knee X‐rays, 100 knee computed tomography (CT) scans and 100 knee magnetic resonance imaging (MRI) scans were retrieved. The following prompt command was inserted into the AI‐LLM: ‘Explain this radiology report to a patient in layman's terms in the second person:[Report Text]’. The Flesch–Kincaid reading level (FKRL) score, Flesch reading ease (FRE) score and report length were calculated for the original radiology report and the AI‐LLM generated report. Any ‘hallucination’ or inaccurate text produced by the AI‐LLM‐generated report was documented.ResultsStatistically significant improvements in mean FKRL scores in the AI‐LLM generated X‐ray report (12.7 ± 1.0–7.2 ± 0.6), CT report (13.4 ± 1.0–7.5 ± 0.5) and MRI report (13.5 ± 0.9–7.5 ± 0.6) were observed. Statistically significant improvements in mean FRE scores in the AI‐LLM generated X‐ray report (39.5 ± 7.5–76.8 ± 5.1), CT report (27.3 ± 5.9–73.1 ± 5.6) and MRI report (26.8 ± 6.4–73.4 ± 5.0) were observed. Superior FKRL scores and FRE scores were observed in the AI‐LLM‐generated X‐ray report compared to the AI‐LLM‐generated CT report and MRI report, p < 0.001. The hallucination rates in the AI‐LLM generated X‐ray report, CT report and MRI report were 2%, 5% and 5%, respectively.ConclusionsThis study highlights the promising use of AI‐LLMs as an innovative, patient‐centred strategy to improve the readability of knee radiology reports. The clinical relevance of this study is that an AI‐LLM‐generated knee radiology report may enhance patients' understanding of their imaging reports, potentially reducing the responder burden placed on the ordering physicians. However, due to the ‘hallucinations’ produced by the AI‐LLM‐generated report, the ordering physician must always engage in a collaborative discussion with the patient regarding both reports and the corresponding images.Level of EvidenceLevel IV.
A Bibliometric Analysis of Chickpea Agronomic Practices in the World During 45 Years of Scientific Research
Authors: Calia Claudio , Pulvento Cataldo , Sellami Mohamed Houssemeddine , Tedone Luigi , Ruta Claudia , De Mastro Giuseppe 
Published: March 2024

ABSTRACTChickpea (Cicer arietinum L.) cultivation practices underwent significant transformation in recent decades due to advancements in scientific knowledge and the need for sustainable, productive farming systems. In this study, a bibliometric analysis of scientific publications from 1977 to 2023 on chickpea agronomic practices was conducted, revealing critical insights. India, as the world's leading chickpea producer, plays a pivotal role, not only in production but also as a significant contributor to scholarly research and international collaborations. The choice of journals for publication is found to influence research impact.Analysis of research trends using co‐occurrence networks of keywords reveals evolving focuses, with a recent shift towards qualitative aspects, such as protein content and nutritional quality, as well as sustainable agricultural practices. The study also emphasizes the necessity for further research on chickpea quality characteristics, strategies to mitigate antinutritional factors, yield optimization, and the impact of climate change on chickpea cultivation. Ultimately, chickpea cultivation research holds great promise in contributing to global food security and environmental sustainability. This bibliometric analysis provides a comprehensive overview of chickpea cultivation research and offers valuable insights for researchers, policymakers, and stakeholders as they navigate the future of sustainable agriculture and the quest for protein‐rich food production while minimizing the environmental footprint.
Drug Efficacy Comparison of pH‐Sensitive and Non‐pH‐Sensitive Taxol Delivery Nanoparticles in Cancer Therapy
Authors: Wang Jianquan , Ruan Xinyan , Guan Hangmin , Fu Hailuo , Ai Shichao , Wang Yiqing 
Published: March 2024

AbstractTaxol is one of the most widely used chemotherapeutic agents but is restricted by its poor solubility and severe side effects in clinical practice. To overcome these limitations, pH‐sensitive nanoparticles, Acetalated Dextran6k‐PEG5k‐PLA2k‐Taxol (ADPP‐PTX), non‐pH‐sensitive nanoparticles, and Propionic Anhydride modified Dextran6k‐PEG5k‐PLA2k‐Taxol (PDPP‐PTX) are developed for the delivery of Taxol. Compared with PDPP‐PTX, ADPP‐PTX shows higher sensitivity to acid response and greater anti‐proliferative effect on cancer cells. In the in vivo study, ADPP‐PTX treatment effectively suppresses the growth of tumors, while only half the dose of Taxol is used, which significantly reduces systemic toxicity compared with Taxol and PDPP‐PTX.
Enhancing the Potential of Poly(hydroxybutyrate)/Poly(lactic acid) Films with Olive Oil and Zinc Oxide for Active Food Packaging
Authors: Ahuja Simran , Mittal Mahak , Aggarwal Neeraj K. , Arora Sanjiv 
Published: March 2024

AbstractTo tackle the persistent global issue of nonbiodegradable petro‐plastics, this study undertakes the challenge of developing environmentally sustainable and active packaging alternatives. The approach involves preparing composite films by blending poly(hydroxybutyrate) (PHB) and poly(lactic acid) (PLA) while integrating olive oil and zinc oxide to augment their effectiveness. The films are fabricated by mixing different concentrations of ZnO (0.5% to 2.5%) and 10% olive oil into PHB/PLA (70/30) matrix using solvent‐casting. A comprehensive analysis is conducted to assess the properties of prepared films, including Fourier transform infrared spectroscopy, scanning electron microscopy, thermogravimetric analysis, X‐ray diffraction, mechanical testing, water vapor permeability, and UV‐blocking properties. Among the tested samples, film containing 1.5% ZnO (referred to as PPOZ1.5) displays highest tensile strength (30.8 MPa) along with improved water vapor permeability. Consequently, PPOZ1.5 film is selected for further investigations which include DPPH (diphenyl‐picrylhydrazyl) radical scavenging activity, and antimicrobial activity. PPOZ1.5 film exhibits exceptional antioxidant activity (>65%) and significant antimicrobial efficacy against Escherichia coli, Staphylococcus aureus, and Aspergillus niger. Moreover, when utilized to package bread samples, PPOZ1.5 film effectively inhibits microbial growth, ensuring food safety for an extended storage period of more than 12 days, ultimately contributing to the preservation and safety of packaged bakery products.
Visible Light‐Triggered Supramolecular Hydrogel Based on Cyclic Dipeptides Stabilized with Coulomb Interactions
Authors: Seliwjorstow Angelika , Bach Marius , Kirchner Susanne , Palloks Sarah , Pianowski Zbigniew L. 
Published: March 2024

AbstractAmphiphilic cyclic dipeptides are efficient supramolecular hydrogelators. They can be combined with molecular photoswitches to produce light‐responsive soft materials, which can be applied in controlled drug delivery. Here it is reported that an arginine‐containing cyclic dipeptide decorated with ortho‐fluorinated azobenzene forms hydrogels under physiological conditions that can be reversibly liquefied upon exposure to visible light frequencies (green and violet, respectively). The addition of sodium alginate results in composite supramolecular hydrogels with increased gelating capacity supported with Coulombic interactions, which also reversibly dissipate upon irradiation.
Research on enterprise production decision‐making considering consumer heterogeneity under carbon labeling system
Authors: Jin Shuai , Shen Jiali , Dabuo Francis Tang 
Published: March 2024

AbstractThe article focuses on consumers with heterogeneous preferences for product carbon footprints under two carbon labeling systems: carbon reduction labels and carbon footprint labels. Using mathematical models, the study explores the optimal decision‐making behavior of enterprises under the carbon labeling system based on consumer utility theory at the enterprise level. It also investigates consumer surplus, environmental improvement, and social welfare under different production modes of the carbon reduction label and carbon footprint label systems at the societal level. The research findings are as follows: (1) At the level of economic benefits for enterprises, choosing to produce products with carbon reduction labels is more favorable when the investment costs for emission reduction are high, while choosing to produce products with carbon footprint labels is more favorable when the investment costs for emission reduction are low. The optimal prices of products under the two carbon labeling systems show opposite trends compared to the investment costs for emission reduction. (2) At the level of environmental benefits for enterprises, under the carbon reduction labeling system, whether through full production or a mixed production mode, enterprises are only willing to reduce the carbon footprint of products to the standard value. However, under the carbon footprint labeling system, especially in the mixed production mode, enterprises show a stronger willingness to overachieve in emission reduction target. (3) At the level of social benefits, compared to the situation under the carbon reduction labeling system, when the investment costs for emission reduction are low, the carbon footprint labeling system is more favorable in terms of consumer surplus and social welfare. However, this advantage gradually diminishes as the investment costs for emission reduction increase. (4) Excessive investment costs for emission reduction are detrimental to the implementation of both carbon reduction and carbon footprint labeling systems. The research conclusions suggest that companies should develop appropriate production strategies based on actual circumstances. Additionally, it is necessary for both the government and companies to reduce investment costs in emissions reductions by improving the system and optimizing emission reduction methods in order to better implement carbon labeling policies.
Revisiting reference evapotranspiration calculation under regional advection and its effect on single and dual crop coefficients: An empirical approach for quinoa crop
Authors: Razmavaran Mohammad Hadi , Sepaskhah Ali Reza , Ahmadi Seyed Hamid 
Published: March 2024

AbstractAdvection is a prevailing meteorological phenomenon in the arid and semi‐arid environments that directly affects the crop and soil hydrology. It could have a great impact on the rate of standard crop evapotranspiration (ETc) in the irrigated areas. Therefore, it is required to take it into consideration while computing crop water requirement through the physically based meteorological procedures. The objectives of this study are (1) simple modification of the Penman–Monteith (PM) equation in calculation of the grass reference evapotranspiration (ETo) to implement the local advection, (2) comparing the single (Kc) and dual crop coefficient (Kcb) of two quinoa cultivars (Titicaca, and Q5) with and without advection correction and (3) presenting a simple model to calculate the advection factor using the maximum air temperature and mean relative humidity for the future crop growth modelling studies. Both Q5 and Titicaca showed unexpectedly very high ETc and potential transpiration (Tp) as 1568 mm and 1003 mm, and 1156 mm and 829 mm, respectively, due to occurrence of regional advection, whereas very high unrealistic Kc and Kcb values for Q5 revealed the impact of strong local advection and external energy. Therefore, we modified ETo to implement the advection effect through introducing the advection factor, ETc/Rn (Rn is the net radiation), as a function of maximum air temperature and mean relative air humidity during the growing season [ETc/Rn = exp (0.025Tmax – 0.015RHavg)] which resulted in higher ETo values, and consequently lower and more realistic Kc and Kcb. As a result, modified maximum Kc values of 1.14 and 1.55 and the modified maximum Kcb of 0.94 and 1.0 were obtained for Titicaca and Q5 cultivars, respectively. This procedure leads to a more accurate site‐specific Kc estimation and indirectly reliable ETc estimation as a function of advection factor and its multiplication by the non‐modified ETo. Furthermore, for direct estimation of ETc through the PM equation, the coefficients of aerodynamic and canopy resistance components of PM equation were modified for estimation of ETc by the non‐modified Rn, which resulted in accurate estimation of ETc.