bluuebunny/crossref_metadata_2025_split huggingface dataset:
Carbon sequestration potential of plantation forests in New Zealand - no single tree species is universally best
Authors: Salekin Serajis , Dickinson Yvette L. , Bloomberg Mark , Meason Dean F. 
Published: April 2024

Abstract
Background
Plantation forests are a nature-based solution to sequester atmospheric carbon and, therefore, mitigate anthropogenic climate change. The choice of tree species for afforestation is subject to debate within New Zealand. Two key issues are whether to use (1) exotic plantation species versus indigenous forest species and (2) fast growing short-rotation species versus slower growing species. In addition, there is a lack of scientific knowledge about the carbon sequestration capabilities of different plantation tree species, which hinders the choice of species for optimal carbon sequestration. We contribute to this discussion by simulating carbon sequestration of five plantation forest species, Pinus radiata, Pseudotsuga menziesii, Eucalyptus fastigata, Sequoia sempervirens and Podocarpus totara, across three sites and two silvicultural regimes by using the 3-PG an ecophysiological model.

Results
The model simulations showed that carbon sequestration potential varies among the species, sites and silvicultural regimes. Indigenous Podocarpus totara or exotic Sequoia sempervirens can provide plausible options for long-term carbon sequestration. In contrast, short term rapid carbon sequestration can be obtained by planting exotic Pinus radiata, Pseudotsuga menziesii and Eucalyptus fastigata.

Conclusion
No single species was universally better at sequestering carbon on all sites we tested. In general, the results of this study suggest a robust framework for ranking and testing candidate afforestation species with regard to carbon sequestration potential at a given site. Hence, this study could help towards more efficient decision-making for carbon forestry.
The myofascial release as neuromotor support to improve the ineffective sucking ability in term infants: a preliminary study
Authors: Arcusio Andrea , Villa Maria Cristina , Felloni Federica , Migliori Claudio 
Published: April 2024

Abstract
Background
Breastfeeding plays a primary role in the events that characterize the development of the relationship between a mother and her newborn. However, this essential process sometimes does not fully cover the nutritional requirements of the newborn due to altered biomechanical sucking skills. In this context, adequate osteopathic treatment associated with neuromotor facilitation techniques could play a promoting role.

Methods
This study evaluated the effect of the osteopathic approach using myofascial release on 26 infants with ineffective sucking ability, identified by the POFRAS scale and LATCH score, compared with 26 untreated similar infants. After the procedure was initially performed in the hospital, the strategy based on basic neuromotor patterns was taught to the parents to be continued at home. The effects were measured at hospital discharge, during the first outpatient visit, which occurred after about seven days, and at one month of life.

Results
The number of valid and continuous suctions, initially less than five per feed in both groups, at the first outpatient check-up was significantly higher (p < 0.00001) in the treated group. Exclusive breastfeeding, initially present in all enrolled children, was maintained mainly in treated children, both at discharge (p < 0.003), at outpatient follow-up (p < 0.00001), and at one month of life (p < 0.00001). Differences in growth and health conditions were not found between the groups.

Conclusion
We believe that osteopathic treatment associated with neuromotor facilitation techniques can optimize newborns’ sucking skills, improving the acquisition and duration of breastfeeding.
The effects of telerehabilitation in adults with complex biventricular congenital heart conditions: protocol for a multi-centre, randomised controlled trial—CH-FIT
Authors: Wood Gina , Scheer Anna , Saundankar Jelena , Tran Derek , Cordina Rachael , Maiorana Andrew 
Published: April 2024

Abstract
Background
Accumulated evidence suggests that exercise training exerts beneficial effects on people with congenital heart conditions. These findings are predominantly derived from small, single-centre exercise trials conducted in outpatient rehabilitation facilities. In recent years, the delivery of exercise interventions remotely has increased through digital communications technology (telerehabilitation). However, very little research to date has been conducted into the efficacy of telerehabilitation in people with a congenital heart condition.

Aims
To evaluate the effects of a telehealth-delivered exercise intervention in people with a history of a surgical biventricular repair due to a congenital heart condition.

Methods
One hundred eligible adolescent (≥ 16 years) and adult participants living with a complex biventricular congenital heart condition will be recruited from four Australian sites and randomised to either (1) a 16-week telehealth-delivered combined (aerobic and resistance) exercise training programme of moderate-to-vigorous intensity or (2) usual care (control group), in a 1:1 allocation, with an 8-month follow-up.

Outcomes of interest
The primary outcome will be the change in aerobic capacity expressed as peak oxygen uptake (VO2peak). Secondary outcomes will include changes in vascular function, muscle oxygenation, metabolic profile, body composition and musculoskeletal fitness, neurohormonal activation, neurocognitive function, physical activity levels, dietary and nutritional status, and quality of life. Outcomes will be assessed at baseline, 16 weeks, and 12 months (to determine longer-term maintenance potential).

Discussion
If found to be efficacious, telerehabilitation may be an alternative option for delivering exercise, improving health outcomes, and increasing accessibility to exercise programmes. Efficacy data is required to quantify the clinical significance of this delivery mode of exercise.

Trial registration
ACTRN12622000050752
Trial registration date: 17 January 2022
Trial registration URL: https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=382635&showOriginal=true&isReview=true
Trial registry name: Australian and New Zealand Clinical Trials Registry
Therapeutic drug monitoring of six contraindicated/co-administered drugs by simple and green RP-HPLC-PDA; application to spiked human plasma
Authors: Hesham Nada , Hegazy Maha A. , Wagdy Hebatallah A. 
Published: April 2024

AbstractTherapeutic drug monitoring is an important clinical testing of the drugs to monitor their concentrations in plasma in order to guarantee their optimal impact, and to avoid any side effects resulting from drug-drug interactions. A green reversed-phase high-performance liquid chromatographic method using a photodiode array detector (RP-HPLC-PDA) was developed for the simultaneous determination of three carbapenem antibiotics (Imipenem, ertapenem, and meropenem) with the co-formulated drug (cilastatin) and contraindicated drugs (probenecid and warfarin) in spiked human plasma. The separation was achieved at 25 °C using a gradient elution of a mixture of mobile phase A: methanol and mobile phase B: phosphate buffer (pH 3.0). The photodiode array detector was adjusted at 220 nm. Bioanalytical method validation was carried out as per the FDA guidelines, and the method showed good linearity ranges for the six drugs that included their Cmax levels along with low limits of quantification. Based on the results, the method was found to be accurate and precise; with high % recovery and good % RSD, respectively. The method was successfully applied to spiked human plasma, signifying a good potential to be implemented in future TDM studies of these drugs when co-administered together.
Nitrophenylpiperazine derivatives as novel tyrosinase inhibitors: design, synthesis, and in silico evaluations
Authors: Asadi Mehdi , Fayazi Fahime , Iraji Aida , Sabourian Reyhaneh , Azizian Homa , Hajimahmoodi Mannan , Larijani Bagher , Mahdavi Mohammad , Amanlou Massoud 
Published: April 2024

AbstractA novel series of 4-nitrophenylpiperazine derivatives (4a–m) was designed and synthesized as potential tyrosinase inhibitors. Comprehensive characterization using 1H-NMR, 13C-NMR, CNH, and IR techniques was performed for all target compounds. Subsequently, the derivatives were evaluated for their inhibitory activity against tyrosinase. Among them, compound 4l, featuring an indole moiety at the N−1 position of the piperazine ring, exhibited a significant tyrosinase inhibitory effect with an IC50 value of 72.55 μM. Enzyme kinetics analysis revealed that 4l displayed mixed inhibition of the tyrosinase enzymatic reaction. Molecular docking was carried out in the enzyme’s active site to further investigate the enzyme-inhibitor interactions. Based on the findings, compound 4l shows promise as a lead structure for the design of potent tyrosinase inhibitors. This study paves the way for the development of more effective tyrosinase inhibitors for potential applications in various fields.
Feedstock/pretreatment screening for bioconversion of sugar and lignin streams via deacetylated disc-refining
Authors: Peterson Darren J. , Paek Changyub , Tao Ling , Davis Ryan , Chen Xiaowen , Brunecky Roman , Fowler Matthew , Elander Richard 
Published: April 2024

AbstractRecent publications have shown the benefits of deacetylation disc-refining (DDR) as a pretreatment process to deconstruct biomass into sugars and lignin residues. Major advantages of DDR pretreatment over steam and dilute acid pretreatment are the removal of acetyl and lignin during deacetylation. DDR does not generate hydroxymethylfurfural (HMF) and furfural which are commonly produced from steam and dilute acid pretreatments. Acetate, lignin, HMF, and furfural are known inhibitors during enzymatic hydrolysis and fermentation. Another advantage of deacetylation is the production of lignin-rich black liquor, which can be upgraded to other bioproducts. Furthermore, due to the lack of sugar degradation during deacetylation, DDR has significantly less sugar loss than other pretreatment methods. Previous studies for DDR have primarily focused on corn stover, but lacked the investigative studies of other feedstocks. This study was designed to screen various DDR process conditions at pilot scale using three different feedstocks, including corn stover, poplar, and switchgrass. The impact of the pretreatment conditions was evaluated by testing hydrolysates for bioconversion to 2,3-butanediol. Pretreatment of biomass by DDR showed high-conversion-yields and 2,3-BDO fermentation production yields. Techno-economic analysis (TEA) of the pretreatment for biomass to sugar was also developed based on NREL’s Aspen Model. This study shows that the cellulose and hemicellulose in poplar was more recalcitrant than herbaceous feedstocks which ultimately drove up the sugar cost. Switchgrass was also more recalcitrant than corn stover but less than poplar.
Computer aided technology based on graph sample and aggregate attention network optimized for soccer teaching and training
Authors: Yang Guanghui , Feng Xinyuan 
Published: April 2024

AbstractFootball is the most popular game in the world and has significant influence on various aspects including politics, economy and culture. The experience of the football developed nation has shown that the steady growth of youth football is crucial for elevating a nation's overall football proficiency. It is essential to develop techniques and create strategies that adapt to their individual physical features to resolve the football players’ problem of lacking exercise in various topics. In this manuscript, Computer aided technology depending on the Graph Sample and Aggregate Attention Network Optimized for Soccer Teaching and Training (CAT-GSAAN-STT) is proposed to improve the efficiency of Soccer teaching and training effectively. The proposed method contains four stages, like data collection, data preprocessing, prediction and optimization. Initially the input data are collected by Microsoft Kinect V2 smart camera. Then the collected data are preprocessed by using Improving graph collaborative filtering. After preprocessing the data is given for motion recognition layer here prediction is done using Graph Sample and Aggregate Attention Network (GSAAN) for improving the effectiveness of Soccer Teaching and Training. To enhance the accuracy of the system, the GSAAN are optimized by using Artificial Rabbits Optimization. The proposed CAT-GSAAN-STT method is executed in Python and the efficiency of the proposed technique is examined with different metrics, like accuracy, computation time, learning activity analysis, student performance ratio and teaching evaluation analysis. The simulation outcomes proves that the proposed technique attains provides28.33%, 31.60%, 25.63% higherRecognition accuracy and33.67%, 38.12% and 27.34%lesser evaluation time while compared with existing techniques like computer aided teaching system based upon artificial intelligence in football teaching with training (STT-IOT-CATS), Computer Aided Teaching System for Football Teaching and Training Based on Video Image (CAT-STT-VI) and method for enhancing the football coaching quality using artificial intelligence and meta verse-empowered in mobile internet environment (SI-STQ-AI-MIE) respectively.
Enhancing English comprehension: a UbD mind walker intervention for remote upper-grade elementary students
Authors: Yen Ai Chun 
Published: April 2024

AbstractThis preliminary study examines the efficacy of the Mind Walker Reading Programme in improving word knowledge and, consequently, improving reading comprehension skills for three upper-grade elementary students in a remote setting. The programme is based on the understanding by design (UbD) Model developed by Wiggins and McTighe (The understanding by design guide to creating high-quality units, ASCD, Alexandria, 2011; The understanding by design guide to advanced concepts in creating and reviewing units. ASCD, Alexandra, 2012), emphasizing defined reading comprehension outcomes and appropriate indicators for assessment. To assess the Programme’s impact and the retention of acquired skills, pre- and post-tests were administered, with a delayed post-test conducted over an 11-week period. Analysis of the test results, collected from the city government’s test pool, reveals a significant improvement in reading comprehension accuracy among participants using the UbD Mind Walker reading tool. This study highlights the effectiveness of the UbD Mind Walker programme in enhancing English language proficiency and supporting sustainable learning for elementary school students, particularly in remote areas with limited educational resources.
Iterative and mixed-spaces image gradient inversion attack in federated learning
Authors: Fang Linwei , Wang Liming , Li Hongjia 
Published: April 2024

AbstractAs a distributed learning paradigm, federated learning is supposed to protect data privacy without exchanging users’ local data. Even so, the gradient inversion attack, in which the adversary can reconstruct the original data from shared training gradients, has been widely deemed as a severe threat. Nevertheless, most existing researches are confined to impractical assumptions and narrow range of applications. To mitigate these shortcomings, we propose a comprehensive framework for gradient inversion attack, with well-designed algorithms for image and label reconstruction. For image reconstruction, we fully utilize the generative image prior, which derives from wide-used generative models, to improve the reconstructed results, by additional means of iterative optimization on mixed spaces and gradient-free optimizer. For label reconstruction, we design an adaptive recovery algorithm regarding real data distribution, which can adjust previous attacks to more complex scenarios. Moreover, we incorporate a gradient approximation method to efficiently fit our attack for FedAvg scenario. We empirically verify our attack framework using benchmark datasets and ablation studies, considering loose assumptions and complicated circumstances. We hope this work can greatly reveal the necessity of privacy protection in federated learning, while urge more effective and robust defense mechanisms.
Enhancing extraction of betalains from beetroot (Beta vulgaris L.) using deep eutectic solvents: optimization, bioaccessibility and stability
Authors: Kaba Beyza , Zannou Oscar , Ali Redha Ali , Koca Ilkay 
Published: April 2024

AbstractDeep eutectic solvents (DESs) are the next generation of green solvents that are considered for their stability and biocompatibility. This study used 10 different DESs synthesized from choline chloride, alcohols, organic acids and sugars. Red beet betalains were extracted using three conventional solvents and DESs. Characterization experiments of DESs suggested that the electrical conductivity, pH, viscosity, water activity, density and chemical structure were greatly affected by the composition of the hydrogen bond acceptors (HBA) and hydrogen bond donors (HBD). Betacyanin, betaxanthin and total betalain contents ranges were 23.68–702.17, 21.49–467.77, and 45.17–1169.94 mg kg−1, respectively, with choline chloride (ChCl): glucose (Glu) (1:2) giving the highest values. ChCl:Glu was chosen for the optimization process considering the molar ratio (ChC = 1:Glu = 0.75–1.75), water content (15–35%) and temperature (30–60 °C) factors for the central composite design. The optimum conditions were recorded as 1:0.75 molar, 30.83% water content, and 30 °C, respectively. Under optimum conditions, the yields of betalain, betacyanin and betaxanthin were found to be 1192.17 ± 23.63, 738.83 ± 17.87, and 453.34 ± 5.93 mg kg−1, respectively. Bioaccessibility analysis and stability tests were performed on the extracts obtained under optimum conditions. Stability tests revealed that the betalains of red beetroot are less stable in the light than in the dark. Bioaccessibility values for betacyanin, betaxanthin, and betalain were found to be 44.67 ± 1.40, 75.02 ± 1.20, and 56.21 ± 1.33%, respectively. Green extraction of betalains from red beetroot using DES, such as ChCl:Glu, is promising for a strong stabilization and high bioaccessibility of betalains.
Graphical Abstract
International multi-stakeholder consensus statement on clinical trial integrity
Authors: Khan Khalid Saeed ,   for the Cairo Consensus Group on Research Integrity
Published: April 2024

Abstract
Objective
To prepare a set of statements for randomised clinical trials (RCT) integrity through an international multi-stakeholder consensus.

Methods
The consensus was developed via multi-country multidisciplinary stakeholder group composition and engagement; evidence synthesis of 55 systematic reviews concerning RCT integrity; anonymized two-round modified Delphi survey with consensus threshold based on the average percentage of majority opinions; and a final consensus development meeting. Prospective registrations: (https://osf.io/bhncy, https://osf.io/3ursn).

Results
There were 30 stakeholders representing 15 countries from five continents including trialists, ethicists, methodologists, statisticians, consumer representatives, industry representatives, systematic reviewers, funding body panel members, regulatory experts, authors, journal editors, peer reviewers and advisors for resolving integrity concerns. Delphi survey response rate was 86.7% (26/30 stakeholders). There were 111 statements (73 stakeholder-provided, 46 systematic review-generated, 8 supported by both) in the initial long list, with eight additional statements provided during the consensus rounds. Through consensus the final set consolidated 81 statements (49 stakeholder-provided, 41 systematic review-generated, 9 supported by both). The entire RCT life cycle was covered by the set of statements including general aspects (n = 6), design and approval (n = 11), conduct and monitoring (n = 19), reporting of protocols and findings (n = 20), post-publication concerns (n = 12) and future research and development (n = 13).

Conclusion
Implementation of this multi-stakeholder consensus statement is expected to enhance RCT integrity.
Genetic analysis of scab disease resistance in common bean (
Phaseolus vulgaris
) varieties using GWAS and functional genomics approaches
Authors: Oriama Shadrack Odikara , Kulohoma Benard W. , Nyaboga Evans , Masheti Y. O. , Otsyula Reuben 
Published: April 2024

Abstract

Introduction

Scab is a fungal disease of common beans caused by the pathogen
Elsinoë phaseoli
. The disease results in major economic losses on common beans, and there are efforts to develop integrated pest management strategies to control the disease. Modern computational biology and bioinformatics tools were utilized to identify scab disease resistance genes in the common bean by identification of genomic regions and genes associated with resistance to scab disease during natural infection in the field.

Methods
A diverse set of common bean accessions were analyzed for genetic association with scab disease resistance using a Genome-Wide Association Study design of infected plants and non-infected plants (controls). A fixed and random model circulating probability unification model of these two covariates that considers a minor allele frequency threshold value of 0.03 were deployed during the analysis. Annotation of genes proteins with significant association values was conducted using a machine learning algorithm of support vector machine on prPred using python3 on Linux Ubuntu 18.04 computing platform with an accuracy of 0.935.

Results
Common bean accessions tested showed varying phenotypes of susceptibility to scab disease. Out of 179 accessions, 16 and 163 accessions were observed to be resistant and susceptible to scab disease, respectively. Genomic analysis revealed a significant association on chromosome one SNP S1_6571566 where the protein-coding sequence had a resistant possibility of 55% and annotated to the Enhancer of Poly-comb like protein.

Conclusion
The significant differences in the phenotypic variability for scab disease indicate wide genetic variability among the common bean accessions. The resistant gene associated with scab disease was successfully identified by GWAS analysis. The identified common bean accessions resistant to scab disease can be adopted into breeding programs as sources of resistance.