bluuebunny/crossref_metadata_2025_split huggingface dataset:
Models for predicting coffee yield from chemical characteristics of soil and leaves using machine learning
Authors: de Oliveira Faria Rafael , Filho Aldir Carpes Marques , Santana Lucas Santos , Martins Murilo Battistuzzi , Sobrinho Renato Lustosa , Zoz Tiago , de Oliveira Bruno Rodrigues , Alwasel Yasmeen A. , Okla Mohammad K. , Abdelgawad Hamada 
Published: February 2024

AbstractBACKGROUNDCoffee farming constitutes a substantial economic resource, representing a source of income for several countries due to the high consumption of coffee worldwide. Precise management of coffee crops involves collecting crop attributes (characteristics of the soil and the plant), mapping, and applying inputs according to the plants’ needs. This differentiated management is precision coffee growing and it stands out for its increased yield and sustainability.RESULTSThis research aimed to predict yield in coffee plantations by applying machine learning methodologies to soil and plant attributes. The data were obtained in a field of 54.6 ha during two consecutive seasons, applying varied fertilization rates in accordance with the recommendations of soil attribute maps. Leaf analysis maps also were monitored with the aim of establishing a correlation between input parameters and yield prediction. The machine‐learning models obtained from these data predicted coffee yield efficiently. The best model demonstrated predictive fit results with a Pearson correlation of 0.86. Soil chemical attributes did not interfere with the prediction models, indicating that this analysis can be dispensed with when applying these models.CONCLUSIONThese findings have important implications for optimizing coffee management and cultivation, providing valuable insights for producers and researchers interested in maximizing yield using precision agriculture. © 2024 Society of Chemical Industry.
The improvement of postoperative blood pressure and associated factors in patients with hormone‐negative adrenal adenoma and hypertension
Authors: Sun Jiaxing , Dong Yingchun , Wang Hanbo , Guo Xudong , Suo Ning , Li Shangjian , Ren Xiangbin , Jiang Shaobo 
Published: February 2024

AbstractObjectiveTo investigate the effect of adrenal surgery on blood pressure (BP) improvements in patients with hormone‐negative adrenal adenoma (HNA) concomitant with hypertension and analyze associated prognostic factors.MethodsWe retrospectively reviewed the clinical data of patients with HNA and hypertension and patients with aldosterone‐producing adenoma (APA) and hypertension who underwent adrenal surgery at our center between 2019 and 2022. Hypertension outcomes were evaluated in all patients and subjects were divided into three groups according to follow‐up BP and the administration of anti‐hypertensive agents: a clinical curation group, an improvement group, and a no‐improvement group. Logistic regression analysis was performed to predict factors associated with clinical curation in patients with HNA post‐surgery.ResultsOf the 182 patients with HNA, clinical curation was achieved in 58 patients (31.9%), improvement in 72 (39.5%), and no improvement in 52 (28.6%). The clinical curation, improvement and no improvement rates in patients with APA were 64.8% (n = 118), 15.9% (n = 29), and 19.2% (n = 35). Multivariate logistic regression analysis indicated that a duration of hypertension ≤6 years and a plasma aldosterone level >160 pg/ml were both independent factors for the clinical curation of hypertension in patients with HNA after adrenal surgery.ConclusionAdrenal surgery can cure or improve hypertension in most patients with HNA, especially in a short duration of hypertension and high plasma levels of aldosterone.
Moss mortality significantly altered topsoil multifunctionality and microbial networks in a temperate desert
Authors: Yin Benfeng , Zhang Qing , Li Yonggang , Zhou Xiaobing , Rong Xiaoying , Zhang Yuanming 
Published: February 2024

AbstractThe continuous rise in global warming and dramatic changes in precipitation patterns have resulted in frequent extreme weather events, biodiversity loss, and ecosystem degradation. This has resulted in varying degrees of mortality in desert mosses, a ground cover type that maintains desert stability and provides important ecological functions. There is, however, a lack of research on the effects of moss mortality on soil multifunctionality (SMF) and microbial interactions in temperate deserts. This study compared and analyzed the soil nutrient content, enzyme activities, and the associated microbial community structure between living and dead moss crusts in the temperate Gurbantunggut Desert. The results indicated that moss mortality improved SMF by increasing the soil carbon content, nitrogen, phosphorus, and enzymatic activity. However, the mortality also considerably reduced the total biomass and abundance of bacteria and fungi in the topsoil, having no significant effect on their diversity. Additionally, a significant decrease in the connectivity and complexity of the soil bacterial and fungal networks was observed when compared to living moss crusts. This was especially noted in the fungal networks, where fungi were more sensitive than bacteria to moss mortality. Although the natural mortality of mosses increases SMF, there is also an increased risk of nutrient loss, thereby threatening ecosystem sustainability. It is, therefore, imperative to consider the causes of crustal degradation while developing management and restoration processes for degraded desert ecosystems.
Functional diversity of microbial communities in herbaceous vegetation patches in coal mine heaps
Authors: Malicka Monika , Bierza Wojciech , Szalbot Monika , Kompała‐Bąba Agnieszka , Błońska Agnieszka , Magurno Franco , Piotrowska‐Seget Zofia , Woźniak Gabriela 
Published: February 2024

AbstractCoal mine heaps represent unique novel environments, suitable for studying plant succession and its influence on the activity of microbes inhabiting the rhizosphere. Our aim was to verify if the functional diversity and catabolic activity of soil microorganisms would increase along with the plant succession from non‐vegetated and forbs‐dominated to grass‐dominated communities. The study was conducted on coal mine heaps located in Upper Silesia (Southern Poland), focusing on non‐vegetated patches, patches dominated by forbs–Tussilago farfara and Daucus carota (in the early stages of succession), and by grasses–Poa compressa and Calamagrostis epigejos (in later stages of primary succession). The catabolic activity and functional diversity of soil microbial communities were analyzed based on community‐level physiological profiles using BIOLOG EcoPlatesTM and the activity of dehydrogenase, alkaline phosphatase, acid phosphatase, and urease. Our results showed that spontaneous vegetation on coal mine heaps strongly affects the physicochemistry of the substrate and the functional diversity of soil microbial communities. Grasses' rhizosphere was hosting more active and functional diversified microbial communities, while non‐vegetated and T. farfara‐vegetated patches were accompanied by a reduced development of soil microbiota. Furthermore, grasses were mainly associated with a substantial delivery of plant litter to the substrate, providing a source of carbon for microorganisms.
Why and how to use the SeqCode
Authors: Whitman William B. , Chuvochina Maria , Hedlund Brian P. , Konstantinidis Konstantinos T. , Palmer Marike , Rodriguez‐R Luis M. , Sutcliffe Iain , Wang Fengping 
Published: February 2024

AbstractThe SeqCode, formally called the Code of Nomenclature of Prokaryotes Described from Sequence Data, is a new code of nomenclature in which genome sequences are the nomenclatural types for the names of prokaryotic species. While similar to the International Code of Nomenclature of Prokaryotes (ICNP) in structure and rules of priority, it does not require the deposition of type strains in international culture collections. Thus, it allows for the formation of permanent names for uncultured prokaryotes whose nearly complete genome sequences have been obtained directly from environmental DNA as well as other prokaryotes that cannot be deposited in culture collections. Because the diversity of uncultured prokaryotes greatly exceeds that of readily culturable prokaryotes, the SeqCode is the only code suitable for naming the majority of prokaryotic species. The start date of the SeqCode was January 1, 2022, and the online Registry (https://seqco.de/) was created to ensure valid publication of names. The SeqCode recognizes all names validly published under the ICNP before 2022. After that date, names validly published under the SeqCode compete with ICNP names for priority. As a result, species can have only one name, either from the SeqCode or ICNP, enabling effective communication and the creation of unified taxonomies of uncultured and cultured prokaryotes. The SeqCode is administered by the SeqCode Committee, which is comprised of the SeqCode Community and elected administrative components. Anyone with an interest in the systematics of prokaryotes is encouraged to join the SeqCode Community and participate in the development of this resource.
B1+ inhomogeneity mitigation for diffusion weighted MRI at 7T using TR‐FOCI pulses
Authors: Abbasi‐Rad Shahrokh , Cloos Martijn A. , Jin Jin , O'Brien Kieran , Barth Markus 
Published: February 2024

AbstractPurposeThe purpose of this study is to improve the image quality of diffusion‐weighted images obtained with a single RF transmit channel 7 T MRI setup using time‐resampled frequency‐offset corrected inversion (TR‐FOCI) pulses to refocus the spins in a twice‐refocused spin‐echo readout scheme.MethodsWe replaced the conventional Shinnar‐Le Roux‐pulses in the twice refocused diffusion sequence with TR‐FOCI pulses. The slice profiles were evaluated in simulation and experimentally in phantoms. The image quality was evaluated in vivo comparing the Shinnar‐Le Roux and TR‐FOCI implementation using a b value of 0 and of 1000 s/mm2.ResultsThe b0 and diffusion‐weighted images acquired using the modified sequence improved the image quality across the whole brain. A region of interest–based analysis showed an SNR increase of 113% and 66% for the nondiffusion‐weighted (b0) and the diffusion‐weighted (b = 1000 s/mm2) images in the temporal lobes, respectively. Investigation of all slices showed that the adiabatic pulses mitigated inhomogeneity globally using a conventional single‐channel transmission setup.ConclusionThe TR‐FOCI pulse can be used in a twice‐refocused spin‐echo diffusion pulse sequence to mitigate the impact of inhomogeneity on the signal intensity across the brain at 7 T. However, further work is needed to address SAR limitations.
A second‐order time discretizing block‐centered finite difference method for compressible wormhole propagation
Authors: Sun Fei , Li Xiaoli , Rui Hongxing 
Published: February 2024

AbstractIn this paper, a second‐order time discretizing block‐centered finite difference method is introduced to solve the compressible wormhole propagation. The optimal second‐order error estimates for the porosity, pressure, velocity, concentration and its flux are established carefully in different discrete norms on non‐uniform grids. Then by introducing Lagrange multiplier, a novel bound‐preserving scheme for concentration is constructed. Finally, numerical experiments are carried out to demonstrate the correctness of theoretical analysis and capability for simulations of compressible wormhole propagation.
Compliance with national standards of decentralized public services: The case of preschool services in Albania
Authors: Hegele Yvonne , Karakaçi Valbona , Lang Achim , Mushani Arberesha 
Published: February 2024

AbstractIn the last few decades, many Central and Eastern European Countries (CEEC) engaged in processes of decentralization in which responsibilities of the national government are transferred to local government units (LGUs). Yet, it is still unclear under what circumstances LGUs in recently decentralized CEEC can deliver high‐quality public services. We put forward the argument that political, administrative, and financial factors related to characteristics of the LGU, and their implementation structure can explain the quality of public services, understood here as the compliance with standards set at central government level. We deduce a set of hypotheses which we test with the example of the public service of preschool education in Albania using generalized linear mixed‐effects models. We find that albeit fiscal factors are important, the relation between money and high‐quality public services is more complex than previously assumed. We find that private donations can undermine central government standards, and that requirements not involving financial costs are more likely implemented. Further, political, and administrative factors, although previously often neglected, play an important role. We find that outsourcing certain functions leads to higher service quality, and that urban areas provide higher quality services indicating that political actors need to focus on rural areas.
Influence of processing parameters on the resin pocket geometry of smart composites embedded with Fiber Bragg Grating sensor and its fast prediction
Authors: Zhao Zizhao , Zhang Kaifu , Liu Chuang , Cheng Hui , Zou Peng , Feng Mengfei , Xiao Junjie , Liang Biao 
Published: February 2024

AbstractSmart composites embedded with Fiber Bragg Grating (FBG) sensors are getting increasingly popular in aircraft structures due to their self‐sensing and monitoring capability. However, a resin pocket around the FBG sensor would be formed in the manufacturing process, which strongly impacts the mechanical properties of the composite host. Therefore, the influence of primary processing parameters (FBG orientation angle, preforming temperature, and preforming pressure) on the formation of resin pockets was investigated in this work. It is found that there is a sinusoidal relation between the resin pocket geometry and the FBG orientation angle. A negative linear relation is noted between the resin pocket geometry and the preforming temperature and pressure. A prediction model based on the backpropagation neural network (BPNN) was established, which was able to quickly and accurately predict resin pocket geometry subjected to given processing parameters. This work provides useful guidance for the processing control of smart composites embedded with FBG sensors.Highlights
Resin pocket geometry was formed primarily in the preforming stage.
Effect of processing parameters on resin pocket geometry was characterized.
A BPNN model was established for the fast prediction of resin pocket geometry.
Enhancing interfacial solvent resistance and mechanical properties of carbon fiber/polyether ether ketone composites with water‐borne sizing agents based on cross‐linkable polyphthalonitrile
Authors: Pei Weibing , Zhao Yanan , Guo Jiaming , Ao Yuhui , Dai Shengtao , Yuan Yexin , Hu Xiaojin , Liu Liu , Liu Yu 
Published: February 2024

AbstractThe inherent structural properties and elevated processing temperatures of thermoplastic resins present new challenges in the realm of carbon fiber (CF) sizing agents. Consequently, a water‐based cross‐linkable nitro‐phthalonitrile capped polyfluorenyl ether ketone sizing agent was meticulously designed. The sizing agent exhibits superior storage stability, encapsulating particles spanning dimensions from 66.51 to 87.71 nm. The inherent mechanism during the hot‐pressing stage involves a self‐crosslinking of nitrile groups toward stable structures with unparalleled resistance to solvents. The crosslinked sizing agent boasts a remarkable glass‐transition temperature of 290°C. Noteworthy, significance is the consequential 40.1% augmentation in maximum flexural strength, along with a commendable 35% increase in interlaminar shear strength for CF‐1.5/PEEK composites in contrast to their unsized CF/PEEK counterparts. In summary, the focal aspiration of this research endeavor lies in offering a straightforward and viable methodology for the exploration of cross‐linkable sizing agents, strategically catering to both “thermoplastic processing” and “thermosetting applications.”Highlights
Bulky fluorenyl unit increases the intermolecular volume of copolymer poly(fluorenyl ether ketone).
The introduction of the BPF unit to the molecular elevates the thermal stability of the copolymer.
Unique electron‐donating proclivity of the fluorenyl group drastically improved its reactivity.
The polymerization was accomplished at a relatively low temperature of 150°C for practical applications.
The ILSS, IFSS, and bending strength were noteworthy increased by 35%, 74.02%, and 40.1%
Shape memory polymer composite fabrics with high recovery force and excellent electrothermal drive deformability
Authors: Liu Renyi , Yang Qin , Li Zhiyong , Gu Bohong , Sun Baozhong , Pei Qingguo , Zhang Wei 
Published: February 2024

AbstractFabric‐reinforced shape memory polymer composites are lightweight, strong, formable, controllable, and suitable for various engineering and innovative applications. This study aims to fabricate and characterize electrothermal dual drive shape memory polymer composite fabrics (SMPCFs) of different densities with three‐dimensional (3D) angle‐interlock structures. The tensile properties, electrothermal properties, recovery forces (both tensile and bending), and shape recovery properties of SMPCFs were evaluated. The SMPCFs exhibited a tensile elongation of over 20% at the transition temperature. SMPCFs can reach transition temperatures when loaded with 2 V. The recovery forces are up to 225 N in tensile recovery force and 3.6 N in bending recovery force. In the shape recovery test, the recovery ratio exceeded 97%. Finally, the demonstration of recovery properties can stimulate the possibilities of SMPCFs in innovation and applications.Highlights
Core‐shell structured composite filaments were prepared.
3D angle‐interlock composite fabrics: high strength, electrothermal drive.
Tensile recovery force of composite fabrics can be up to 225 N.
Elongation at transition temperatures was up to 20%.
Cross‐sectional and longitudinal analysis of conditioned pain modulation and pain in fibromyalgia: CPM as an effect modifier of pain changes over time
Authors: Castelo‐Branco Luis , Pacheco‐Barrios Kevin , Cardenas‐Rojas Alejandra , de Melo Paulo S. , Gianlorenco Anna C. , Gonzalez‐Mego Paola , Marduy Anna , Shaik Emad S. , Teixeira Paulo , Caumo Wolnei , Fregni Felipe 
Published: February 2024

AbstractBackground and PurposeFibromyalgia (FM) is associated with altered descending pain modulatory pathways, which can be assessed through Conditioned Pain Modulation (CPM). In this study, we aimed to explore the relationship between CPM and self‐reported baseline characteristics in patients with fibromyalgia. We also performed a longitudinal analysis exploring CPM as a potential predictor of clinical improvement over time in individuals with FM.MethodsWe performed cross‐sectional univariable and multivariable analyses of the relationship between CPM and other variables in 41 FM patients. We then performed longitudinal analyses, building linear mixed‐effects models with pain in the Visual Analogue Scale (VAS) as the dependent variable, and testing for the interaction between time and CPM. We also tested the interaction between CPM and time in models using other outcomes, such as the revised Fibromyalgia Impact Questionnaire and Quality of Life Scale (QOLs).ResultsWe found no association between CPM and other demographic and clinical variables in the univariable analysis. We found a statistically significant association in the multivariable linear regression model between CPM and the QOLs at the baseline after controlling for age, sex, and duration of symptoms. In the longitudinal analyses, we found that CPM is an effect modifier for clinical improvement over time for the pain VAS, QOLs, and FIQR: individuals with low‐efficient CPM at the baseline have a different (improved) pattern of response over time when compared to those with high‐efficient CPM.ConclusionsOur findings suggest that CPM is not a reliable biomarker of clinical manifestations in chronic pain patients during cross‐sectional assessments. However, our results are consistent with previous findings that CPM can be used to predict the evolution of clinical pain over time. We expect that our findings will help in the selection of patients with the best profile to respond to specific interventions and assist clinicians in tailoring pain treatments.
Impact of presentation timing in metastatic hormone‐sensitive prostate cancer: Characterization of patients and identification of prognostic factors
Authors: Hoyos Juliana Arenas , Londoño David Ruiz , Hoyos Andres Gomez , Reyes Estefania Celis , Varela Rodolfo , Giraldo Julian Serrano 
Published: February 2024

AbstractBackgroundThe treatment and surveillance of metastatic hormone‐sensitive prostate cancer (mHSPC) has evolved since the introduction of several treatment intensification options associated with hormonal blockade and classifications based on the timing of metastatic disease presentation and disease volume. Using a hospital‐based registry, we aimed to assess whether these new classifications are applicable to our population, as few studies have demonstrated their prognostic value for overall survival (OS) and time to development of castration‐resistant prostate cancer (CRPC), and to establish prognostic factors in our population.MethodsA retrospective cohort of mHSPC patients who were attended at an oncology referral hospital in Bogota between 2017 and 2021 were included in this study. The primary and secondary endpoints were OS and time to CRPC. The distribution of outcome measures was estimated using the Kaplan–Meier method. Proportional hazard models were constructed using the Cox regression approach and stratified according to risk factors.ResultsThe study cohort included 373 patients. The median castration resistance‐free survival was 48 months (CI: 32–73 months), and OS was 43 months (CI: 37–48 months). In multivariate analysis, nodal staging, ECOG status, and surgical castration were independent prognostic factors.ConclusionIn our hospital‐based registry, the independent impact of the time of presentation on castration‐resistant‐free survival or OS could not be demonstrated, nor could the grouping of prognostic categories based on metastatic presentation temporality and volume. Other independent prognostic factors have been proposed.