bluuebunny/crossref_metadata_2025_split huggingface dataset:
Chitosan and its derivatives: Promising biomaterial in averting fungal diseases of sugarcane and other crops
Authors: Karamchandani Bhoomika M. , Chakraborty Saswata , Dalvi Sunil G. , Satpute Surekha K. 
Published: January 2022

AbstractSugarcane (Saccharum officinarum)—a prominent cash crop accounts for around 80% production of sugar worldwide. However, the productivity of sugarcane is declining (~40%) due to the attack of a perilous fungus—Fusarium moniliforme responsible for pokkah boeng (PB) disease. Presently, chemical methods are incisive where their harmful effects on living organisms cannot be overlooked. Introduction of disease‐resistant cultivars and other biocontrol measures protect sugarcane to some extent. The multifunctional biopolymers like chitosan (CH) and its derivatives (irradiated chitosan [IRC]), chitooligosaccharides (CO) and nanochiotosan (NCH) offer endless opportunities to spring numerous aids for crops. CH is a dynamic plant elicitor with multifarious antimicrobial properties. The current review unleashes information on CH and its derivatives in controlling PB and fungal diseases of sugarcane along with other crops. We highlight the strategies that deploy CH as “biofungicide” to mitigate F. moniliforme. CH delays the postharvest decay in fruits (apple, strawberry, mango, banana, papaya) and vegetables (tomato, finger millet, capsicum, fenugreek) (~500–1000 ppm). NCH has been utilized as a foliar spray successfully (0.1%–1%) to protect staple crops (wheat, rice, maize) as well. Overall, NCH based strategies are noteworthy to protect sugarcane and other crops.
Stimulating Creativity: Examining the Effectiveness of Four Cognitive‐based Creativity Training Techniques
Authors: Gu Xiaojing , Ritter Simone M. , Delfmann Lea R. , Dijksterhuis Ap 
Published: January 2022

AbstractCreative thinking is needed to thrive in our fast‐changing world. It has been shown that creative thinking skills can be enhanced through training. Whereas previous research has mainly focused on examining the overall effectiveness of comprehensive creativity training programs, this study examined the effectiveness of four cognitive‐based training techniques (SCAMPER, random connection, schema violation, and simple ideation), each with the aim of training specific cognitive processes underlying creativity. The effectiveness of the four techniques was tested using a pre–posttest between‐subjects design. The participants were assigned to one of the four creativity training conditions or a control condition and practiced each training technique for approximately 20 min. Before and after training, the participants’ creative performance was measured with divergent thinking (Alternative Uses Task; fluency, flexibility, originality, creativity, usefulness) and convergent thinking (Remote Associates Test) tasks. The results showed marginal to significant improvements on several key indicators of divergent thinking, but none of the techniques led to improvement in convergent thinking. Specifically, the SCAMPER technique targeting conceptual expansion marginally improved idea originality, while the random connection technique targeting conceptual combination and the schema violation technique targeting cognitive flexibility seemed to facilitate idea fluency and idea flexibility. No improvement was observed for the simple ideation technique and the control condition.
Meal nutritional characteristics and oil profile of sprouted, dehulled, and solvent‐extracted canola
Authors: Alhomodi Ahmad F , Berhow Mark , Gibbons William R , Monono Ewumbua , Karki Bishnu 
Published: January 2022

AbstractBACKGROUNDCanola meal has limited utilization in feed and food applications because of the presence of antinutritional factors and a high fiber content. Thus, the present study used 3‐day canola seed sprouting followed by hull removal to improve the nutritional quality of canola as a feed and food ingredient to further enhance and diversify the canola market.RESULTSSeed sprouting and the hull removal process resulted in 63.2% sprouts, 29.3% mix fractions (MF) (hulls, ungerminated seed, and delayed sprouts) and 8.1% mass loss during sprouting. Fresh sprouts and MF were dried, ground and defatted to compare the obtained meals and oils with their counterparts of raw seed. Defatted sprouts (DFSP) resulted in a 46.2% reduction in crude fiber, a 34.3% reduction in acid detergent fiber and a 43.4% reduction in neutral detergent fiber compared to defatted raw seed (DFSE). DFSP provided a 10.1% higher protein content and a 5.9% increase in total amino acid content with higher essential amino acids compared to DFSE. Total carbohydrate was lowered by 5.5%, phytic acid content was lowered by 25.9%, and ash content was lowered by 5.5% in DFSP, whereas total glucosinolate content was higher in DFSP (13.1 μmol g−1) than in DFSE (8.8 μmol g−1). Sprouts and MF showed an oil content of 38.4% and 9.6%, respectively, compared to raw seed (34.5%).CONCLUSIONSprouting and hull removal of canola seed can potentially provide nutritive meal for food and feed applications. © 2022 Society of Chemical Industry.
Hybrid Carbon Nanofibers Derived from MXene Nanosheets and Aromatic Poly(ether amide) for Self‐Standing Electrochemical Energy Storage Materials
Authors: Kwon Young Seung , Lee Ji‐Su , Hwang Gyu‐Hyun , Jeong Young Gyu 
Published: January 2022

AbstractThe microstructure, electrical and electrochemical properties of MXene/aromatic poly(ether amide) (PEA)‐derived hybrid carbon nanofibers (HCNFs) as high‐performance free‐standing supercapacitor electrode materials are reported. For this purpose, a series of HCNFs are fabricated by sequential methods of electrospinning of PEA solutions, dip‐coating (1–10 cycles) of as‐spun PEA nanofibers into MXene aqueous dispersion, and heat‐treatment of MXene‐coated PEA nanofibers for carbonization. The structural analyses of HCNFs reveal that MXene nanosheets are uniformly deposited on PEA‐derived and nitrogen self‐doped CNFs and that they are accumulated with increasing the number of dip‐coating cycles. Accordingly, the electrical conductivity increases from 3.94 S cm−1 for PEA‐derived neat CNF to 15.74 S cm−1 for HCNF10 (10 dip‐coating cycles) due to the increase in the content of electrically conductive MXene nanosheets. On the other hand, the electrochemical performance is measured to be the highest in HCNF7 (7 dip‐coating cycles) owing to a trade‐off effect of ion barrier function and high electrical conductivity of MXene nanosheets to porous CNF webs. For a symmetric supercapacitor setup of two self‐standing HCNF7 electrodes, outstanding electrochemical properties of specific capacitance of 66.7–179.3 F g−1, power density of 1000–10 000 W kg−1, and energy density of 52.7–91.2 Wh kg−1 are attained at current densities of 1–10 A g−1.
An Overview on Recent Progress of the Hydrogels: From Material Resources, Properties, to Functional Applications
Authors: Wang Ben‐Xin , Xu Wei , Yang Zhuchuang , Wu Yangkuan , Pi Fuwei 
Published: January 2022

AbstractHydrogels, as the most typical elastomer materials with three‐dimensional (3D) network structures, have attracted wide attention owing to their outstanding features in fields of sensitive stimulus response, low surface friction coefficient, good flexibility, and bio‐compatibility. Because of numerous fresh polymer materials (or polymerization monomers), hydrogels with various structure diversities and excellent properties are emerging, and the development of hydrogels is very vigorous over the past decade. This review focuses on state‐of‐the‐art advances, systematically reviews the recent progress on construction of novel hydrogels utilized several kinds of typical polymerization monomers, and explores the main chemical and physical cross‐linking methods to develop the diversity of hydrogels. Following the aspects mentioned above, the classification and emerging applications of hydrogels, such as pH response, ionic response, electrical response, thermal response, biomolecular response, and gas response, are extensively summarized. Finally, this review is done with the promises and challenges for the future evolution of hydrogels and their biological applications.
Polymer‐Inorganic Crystalline Nanocomposite Materials via Nanoparticle Occlusion
Authors: Ning Yin , Armes Steven P. , Li Dan 
Published: January 2022

AbstractEfficient occlusion of guest nanoparticles into host single crystals opens up a straightforward and versatile way to construct functional crystalline nanocomposites. This new technique has attracted increasing research interest because it enables the composition, structure, and properties of the resulting nanocomposites to be well‐controlled. This review aims to provide a comprehensive summary of nanoparticle occlusion within inorganic crystals. First, recently‐developed strategies for the occlusion of various colloidal particles (e.g., diblock copolymer nanoparticles, polymer‐modified inorganic nanoparticles, oil droplets, etc.) within host crystals (e.g., CaCO3, ZnO, or ZIF‐8) are summarized. Second, new results pertaining to spatially‐controlled occlusion and the physical mechanism of nanoparticle occlusion are briefly discussed. Finally, the physicochemical properties and potential applications of various functional nanocomposite crystals constructed via nanoparticle occlusion are highlighted and the perspective on the likely future for this research topic is also offered.
Structural analysis of unstable norbixin isomers guided by pure shift nuclear magnetic resonance
Authors: Bertho Gildas , Oumezziane Imed Eddine , Caradeuc Cédric , Guibout Louis , Balducci Christine , Dinan Laurence , Dilda Pierre J. , Camelo Serge , Lafont René , Giraud Nicolas 
Published: January 2022

AbstractWe report the analysis of complex samples obtained during the microwave irradiation/heating of norbixin, which has been identified as a potential therapeutic target for age‐related macular degeneration (AMD). In this context, identifying the different isomers that are obtained during its degradation is of primary importance. However, this characterization is challenging because, on the one hand, some of these isomers are unstable, and on the other hand, the 1H spectra of these isomeric mixtures are poorly resolved. We could successfully apply 1D pure shift experiments to obtain ultrahigh‐resolution 1H nuclear magnetic resonance (NMR) spectra of the norbixin isomer samples and exploit their information content to analyze complementary 2D NMR data and describe accurately their isomeric composition.
Machine learning provides an accurate prognostication model for refractory overactive bladder treatment response and is noninferior to human experts
Authors: Werneburg Glenn T. , Werneburg Eric A. , Goldman Howard B. , Mullhaupt Andrew P. , Vasavada Sandip P. 
Published: January 2022

AbstractObjectiveThe increasing wealth of clinical data may become unmanageable for a physician to assimilate into optimal decision‐making without assistance. Utilizing a novel machine learning (ML) approach, we sought to develop algorithms to predict patient outcomes following the overactive bladder treatments OnabotulinumtoxinA (OBTX‐A) injection and sacral neuromodulation (SNM).Materials and MethodsROSETTA datasets for overactive bladder patients randomized to OBTX‐A or SNM were obtained. Novel ML algorithms, using reproducing kernel techniques were developed and tasked to predict outcomes including treatment response and decrease in urge urinary incontinence episodes in both the OBTX‐A and SNM cohorts, in validation and test sets. Blinded expert urologists also predicted outcomes. Receiver operating characteristic curves were generated and AUCs calculated for comparison to lines of ignorance and the expert urologists’ predictions.ResultsTrained algorithms demonstrated outstanding accuracy in predicting treatment response (OBTX‐A: AUC 0.95; SNM: 0.88). Algorithms accurately predicted mean decrease in urge urinary incontinence episodes (MSE < 0.15) in OBTX‐A and SNM. Algorithms were superior to human experts in response prediction for OBTX‐A, and noninferior to human experts in response prediction for SNM.ConclusionsNovel ML algorithms were accurate, superior to expert urologists in predicting OBTX‐A outcomes, and noninferior to expert urologists in predicting SNM outcomes. Some aspects of the physician–patient interaction are subtle and uncomputable, and thus ML may complement, but not supplant, a physician's judgment.
Comparison of seven modelling algorithms for γ‐aminobutyric acid–edited proton magnetic resonance spectroscopy
Authors: Craven Alexander R. , Bhattacharyya Pallab K. , Clarke William T. , Dydak Ulrike , Edden Richard A. E. , Ersland Lars , Mandal Pravat K. , Mikkelsen Mark , Murdoch James B. , Near Jamie , Rideaux Reuben , Shukla Deepika , Wang Min , Wilson Martin , Zöllner Helge J. , Hugdahl Kenneth , Oeltzschner Georg 
Published: January 2022

Edited MRS sequences are widely used for studying γ‐aminobutyric acid (GABA) in the human brain. Several algorithms are available for modelling these data, deriving metabolite concentration estimates through peak fitting or a linear combination of basis spectra. The present study compares seven such algorithms, using data obtained in a large multisite study. GABA‐edited (GABA+, TE = 68 ms MEGA‐PRESS) data from 222 subjects at 20 sites were processed via a standardised pipeline, before modelling with FSL‐MRS, Gannet, AMARES, QUEST, LCModel, Osprey and Tarquin, using standardised vendor‐specific basis sets (for GE, Philips and Siemens) where appropriate. After referencing metabolite estimates (to water or creatine), systematic differences in scale were observed between datasets acquired on different vendors' hardware, presenting across algorithms. Scale differences across algorithms were also observed. Using the correlation between metabolite estimates and voxel tissue fraction as a benchmark, most algorithms were found to be similarly effective in detecting differences in GABA+. An interclass correlation across all algorithms showed single‐rater consistency for GABA+ estimates of around 0.38, indicating moderate agreement. Upon inclusion of a basis set component explicitly modelling the macromolecule signal underlying the observed 3.0 ppm GABA peaks, single‐rater consistency improved to 0.44. Correlation between discrete pairs of algorithms varied, and was concerningly weak in some cases. Our findings highlight the need for consensus on appropriate modelling parameters across different algorithms, and for detailed reporting of the parameters adopted in individual studies to ensure reproducibility and meaningful comparison of outcomes between different studies.
Finite‐time sampled‐data H∞ control of Markovian jumping linear systems with mode‐dependent time‐varying delays
Authors: Wang Junyi , Ji Zewen , Xu Hongli , Qiu Jianlong , Jiang Yang 
Published: January 2022

AbstractThis article focuses on the finite‐time sampled‐data control problem of Markovian jumping linear system, which consists of mode‐dependent interval time‐varying delays. The delay‐dependent conditions of finite‐time sampled‐data control are obtained by adopting affine Bessel–Legendre inequality and appropriate mode‐dependent Lyapunov–Krasovskii functional. Finally, two examples are displayed to prove the feasibility of the proposed method.
The mechanical effect of monitoring and controlling the impregnation in the resin infusion process
Authors: Almazán‐Lázaro Juan‐Antonio , López‐Alba Elías , Díaz‐Garrido Francisco‐Alberto 
Published: January 2022

AbstractNowadays, most of industries are optimizing their processes to make their products more competitive. In the composites manufacturing industry, there is a big gap between the almost fully automated processes and those which require an intensive labor‐work. Although it has many advantages, the resin infusion process is characterized for its lack of automation. As a consequence, the results are strongly dependent on the process boundaries, the operator skills and expertise, and the result is usually far away from the optimum. In this work, the application of a novel methodology and its capability to maximize the mechanical properties of infusion‐manufactured composite materials is presented. After manufacturing stitched and unstitched materials at different impregnation velocities, an optimum value was assessed. The application of this value during the manufacture has increased the tensile and impact properties.
Successful prolonged treatment of a carbapenem‐resistant Acinetobacter baumannii hip infection with cefiderocol: A case report
Authors: Rose Lucia , Lai Lauren , Byrne Dana 
Published: January 2022

AbstractWe report a 50‐year‐old Caucasian male with a complicated past medical history who developed extensive polymicrobial osteomyelitis, including a carbapenem‐resistant Acinetobacter baumannii (CRAB). In order to streamline therapy, the patient received compassionate use cefiderocol for 6 weeks which was well tolerated. In addition, the patient's infection was considered cured at end of treatment. Few cases on the use of prolonged cefiderocol for treatment of osteomyelitis due to CRAB have been published. Our patient did not report adverse reactions, nor did he develop laboratory abnormalities which were assessed throughout and at the end of the 6‐week course.
Hyaluronan homeostasis and its role in pain and muscle stiffness
Authors: Amir Adam , Kim Soo , Stecco Antonio , Jankowski Michael P. , Raghavan Preeti 
Published: January 2022

AbstractHyaluronan (HA) is a glycosaminoglycan that consists of single‐chain polymers of disaccharide units of glucuronic acid and N‐acetylglucosamine. It is a chief constituent of the extracellular matrix. About 27% of the total HA in the body is expressed in the skeleton and connective tissue, while 8% is expressed in muscles. In physiological conditions, HA functions as a lubricant and viscoelastic shock absorber. Additionally, HA is part of complex cellular signaling which modulates nociception and inflammation. This study aims to understand the role that HA plays in the musculoskeletal system, specifically in muscles and the surrounding fascia. This review is also intended to further understand HA homeostasis and the process of its synthesis, degradation, and clearance from the local tissue. The authors examined muscle pain and stiffness as pathological conditions associated with HA accumulation.
Intensive care‐related cognitive impairment: A biopsychosocial overview
Authors: Tingey Jamie L. , Dasher Nickolas A. , Bunnell Aaron E. , Starosta Amy J. 
Published: January 2022

AbstractAdvancements in critical care medicine have improved survival rates for patients experiencing critical illness in intensive care units (ICUs). Although mortality has declined, more than half of ICU survivors experience functional impairments that persist beyond discharge. Of particular concern is ICU‐related cognitive impairment, which can extend across the care continuum, ranging from acute and transient presentations in the ICU (eg, delirium) to long‐term impairments years after discharge. ICU‐related cognitive impairment has received increased attention in the literature, particularly as it relates to ICU survivors who have received and survived critical care in the context of the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) pandemic and are now experiencing postacute sequelae of SARS‐CoV‐2 infection. The medical complexity and heterogeneity of ICU survivors, coupled with the multifactorial etiology of ICU‐related cognitive impairments, lead to challenges in how to optimize care for ICU survivors at various stages of recovery. This review aims to provide an overview of cognitive outcomes associated with critical illness by integrating recent literature focused on etiology, assessment, and interventions in the context of ICU‐related cognitive impairments. The narrative review employs a biopsychosocial framework to comprehensively evaluate the multifactorial nature of ICU‐related cognitive outcomes. Authors also highlight that multidisciplinary teams composed of key rehabilitation providers are likely best suited for optimizing recovery trajectories of ICU survivors.
Wheezing caused by a patent ductus arteriosus (PDA) device occluder: Case report and review of the literature
Authors: Wu Yong , Liu Hanmin , Gu Ling , Wang Li , Su Ming 
Published: January 2022

AbstractWheezing often occurs in infants and young children with respiratory infections. For children with recurrent wheezing, after controlling their wheezing, they should be alert to rare diseases. Here, we report a case of wheezing following the application of the patent ductus arteriosus occlusion device ADO II (AGA Medical Corporation) with the occlusion device pressing against the adjacent left main bronchus. After the pressure end of the occluder was removed, the child's wheezing was effectively relieved.
An assessment for the conditional performance of an support vector data description (SVDD)‐based chart
Authors: Tang Anan , Castagliola Philippe , Hu Xuelong , Xie Fupeng 
Published: January 2022

AbstractThe usual practice in Statistical Process Monitoring (SPM) techniques assumes that the data distribution is known and the related parameters are accurately estimated. In practice, the underlying distribution and its parameters are rarely known, and control charts need to be constructed with parameters being estimated. Such issues have recently received an increasing attention in evaluating the properties of both parametric and nonparametric charts. However, the same study is seldom conducted for the control charts based on the data‐driven tools. In this paper, we investigated the in‐control performance of a nonparametric control chart based on the Support Vector Data Description (SVDD) theory. More specifically, we discuss the conditional effect of the training Phase‐I samples on the Phase‐II efficiency when different distributions are considered. Simulation results show that the conditional performance of the SVDD‐based chart can be strongly affected by the Phase‐I samples. It this situation, adjusted control limits with a specific number of available training sample is suggested.
The comprehensive geriatric assessment of an older adult with rheumatoid arthritis
Authors: Zhang Mufan , Feng Min , Lai Bei 
Published: January 2022

AbstractIntroductionThe treatment of elderly‐onset rheumatoid arthritis (RA) pursues the same objectives as in younger patients: to control the symptoms, to prevent structural damage, to preserve function, and to decrease excess mortality. The presence of co‐morbidities is more specific in elderly patients with RA, which raises therapeutic challenges for physicians. Comprehensive geriatric assessment (CGA) is an essential tool that examines factors affecting the course of disease and the outcome of treatment. CGA includes the patient's functional, physical, mental, emotional, pharmacotherapeutic, and socioeconomic status. This article aims to present CGA in the evaluation and management of frail elderly patient with RA.Patient & ResultA case study of an 80‐year‐old man with RA and ILD is presented to describe the process of CGA and provides nutritional supplement therapy, patient education, and rehabilitation guidance to help patient progress from frailty to non‐frailty.DiscussionThe case revealed that CGA provides physicians with information on the reversible area of frailty and the leading cause of deterioration in EORA.