bluuebunny/crossref_metadata_2025_split huggingface dataset:
Four birds with one stone: applying nitrification inhibitor on the basis of percarbamide restores yield, decreases fungicide residue, enhances soil multifunctionality and stimulates bacterial community
Authors: Guo Tao , O'Connor Patrick J. , Tang Wenhui , Ma Bin , Zhou Minzhe , Zhang Manyun 
Published: October 2024

AbstractBACKGROUNDFungicide residues were frequently detected in vegetables and soils, which severely affected crop yields and qualities. Reasonable nitrogen management might promote yields and decrease fungicide carbendazim residues in plant–soil systems. Current study explores comprehensive relationships among carbendazim residues, crop yields, soil multifunctionalities and endophytic and soil bacterial communities after applying nitrification inhibitors (3,4‐dimethylpyrazole phosphate and dicyandiamide) and percarbamide to different soils.RESULTSCombined nitrification inhibitor and percarbamide additions produced multi‐effects on restoring yields, declining fungicide residues, promoting soil multifunctionalities and stimulating bacterial communities. Relative to the control, percarbamide application promoted carbendazim dissipations in upland soils but decreased bacterial community diversities and stabilities in different soils. Compared to exclusive percarbamide, extra dicyandiamide applications decreased carbendazim residues by 25.8% in upland soils and 70.2% in paddy soils, declined carbendazim residues in carrots via improving soil pH, ammonium nitrogen (NH4+‐N) and Proteobacteria ratios. Relative to percarbamide application alone, extra dicyandiamide addition promoted the dry carrot yields by 133.2% in upland soils and 33.5% in paddy soils via promoting soil NH4+‐N, Acidobacteriota and Actinobacteriota ratios and bacterial community diversities and stabilities. Upland soil multifunctionality improvements diminished soil carbendazim residues via promoting soil pH and NH4+‐N, and paddy soil multifunctionalities and endophytic bacterial community structures generated negative influences on carrot carbendazim residues.CONCLUSIONOur study suggested that nitrification inhibitor on the basis of percarbamide generated multi‐effects on the different crop–soil systems: restoring carrot yields, reducing carbendazim contents, promoting soil multifunctionalities and stimulating bacterial community diversities and stabilities. © 2024 Society of Chemical Industry.
Population pharmacokinetic and pharmacodynamic model of evogliptin: Severe uremia increases the bioavailability of evogliptin
Authors: Kim Byungwook , Kim Jung Eun , Lee Soyoung , Oh Jaeseong , Cho Joo‐Youn , Jang In‐Jin , Lee SeungHwan , Chung Jae‐Yong , Yoon Seonghae 
Published: October 2024

AbstractUremia, a condition characterized by the retention of uremic toxins due to impaired renal function, may affect drug metabolism mediated by CYP3A4 enzymes. Evogliptin is a dipeptidyl peptidase‐4 (DPP‐4) inhibitor diabetic drug that is primarily metabolized by CYP3A4. This study aimed to construct a population pharmacokinetic (PK) and pharmacodynamic (PD) model for evogliptin in patients with varying degrees of renal disease, including end‐stage renal disease on hemodialysis. A total of 688 evogliptin concentration and 598 DPP‐4 activity data were available from 46 subjects. PK and PD data analyses were performed using a nonlinear mixed‐effects model. The PK of evogliptin was optimally described by a two‐compartment model with first‐order absorption. The significant covariates in the final model included blood amylase and triglyceride on F1 (relative bioavailability). The simulation findings, together with previously reported PK data, provided evidence of a significant inhibition of the first‐pass effect of evogliptin in patients with renal impairment. A direct link sigmoidal Emax model was developed to describe the relationship between evogliptin concentration and DPP‐4 inhibition. The PD model predicted significant inhibition of DPP‐4 at maximum effect (Emax: 88.9%) and a low EC50 value (1.08 μg/L), indicating the high potency and efficacy of evogliptin. The developed PK/PD model accurately predicted exposure and the resulting DPP‐4 activity of evogliptin in renal impairment. The findings of this study suggest that renal impairment and associated biochemical changes may impact the bioavailability of CYP3A4‐metabolized drugs.
Relaxed Event Triggered Control of Discrete‐Time Takagi‐Sugeno Systems Based on Homogeneous Polynomial Method
Authors: You Wenwen , Wang Hui , Wu Xiaohan 
Published: October 2024

ABSTRACTThis article presents an event triggered control approach for discrete‐time T‐S fuzzy systems, which integrates the homogeneous polynomial method and a dynamic event triggering mechanism. First, a kind of discrete‐time loop functions and the dynamic event triggering scheme based on periodic sampling are constructed to establish stability conditions with known system information. Second, by introducing the homogeneous polynomial method to relax the stability criteria, the sampling interval is increased and the system conservatism is reduced. Additionally, an integrated framework for collaboratively designing the event triggering functions and controllers is proposed, which reduces the complexity of sampling transmission while ensuring system stability. Finally, numerical and practical examples are used to illustrate the feasibility and effectiveness of the proposed method.
Robust Control for Multiplayer Nonzero‐Sum Differential Games With Switching Topology and Input Delay
Authors: Zhou Yinglu , Li Yinya , Sheng Andong , Qi Guoqing 
Published: October 2024

ABSTRACTThis article investigates a multiplayer nonzero‐sum differential game (MNDG) with switching topology and input delay. The Hamilton–Jacobi–Isaacs (HJI) equation is used to derive the optimal control strategies. To solve the issue of switching topology, the control strategies are decoupled with the communication topology. Then, the stability of the system can be achieved regardless of changes in communication topology with the designed control strategies. This does not require a restriction on the dwell time, making the system stability conditions more relaxed. The Lyapunov–Krasovskii functional (LKF) is constructed to prove the stability of the system in the presence of time‐varying input delay. To cope with the real‐world situation, the input delay is considered to be disturbed by a time‐varying perturbation in this article. With these treatments, the system is more in line with real‐world applications. Simulation examples are given to validate the efficiency of the presented methods.
Development and Evaluation of pH‐Responsive Microbeads Incorporated with Nickel Zinc Ferrite Nanoparticles for Controlled Release of Doxorubicin
Authors: Venkata Ramana Eppa , Ujwala Guntakanti , Shahinshavali Shaik , Abdul Mathin Shaik , Sreekanth Reddy Obireddy , Naseem  
Published: October 2024

AbstractThe development of a pH‐responsive, biocompatible polymeric carrier for controlled delivery of bioactive agents holds significant practical value for pharmaceutical applications. In this study, we used the gelation method to make pH‐responsive polymeric microbeads using sodium alginate (SA), poly(vinylpyrrolidone‐co‐vinyl acetate) (PVPVA), and nickel zinc ferrite (NZF) nanoparticles for controlled release of doxorubicin (DOX). The generated microbeads are characterized using various techniques, including Fourier‐transform infrared spectroscopy, X‐ray diffraction, scanning electron microscopy, and transmission electron microscopy. Swelling studies reveal enhanced permeability at pH 6.4, and in vitro release studies demonstrate a higher release rate at pH 6.4 compared to pH 2.0. Cytotoxicity tests on MCF‐7 cells (a type of breast cancer cell line) showed that NZF‐loaded microbeads, especially SP‐NZFNPs‐DOX, were more effective than other carriers, indicating their potential usefulness in cancer treatment. Furthermore, biocompatibility tests demonstrate that the SA/PVPVA microbeads and nanoparticles are biocompatible with 3T3 fibroblasts. This study contributes valuable insights to the evolving landscape of nanotechnology in cancer treatment, emphasizing the synergistic role of NZF nanoparticles, SA, and PVPVA in optimizing drug delivery systems.
Copper Acetate Monohydrate/Nickel Chloride Impregnated PVDF Ultrafiltration Membrane: An Antifouling Membrane for Peat Water Treatment
Authors: Mohamad Said Khairul Anwar , Nurdarwisyah Zamrus Siti , Rahman Md. Rezaur , Hamdan Sinin 
Published: October 2024

AbstractThis study examines the polyvinylidene fluoride (PVDF) ultrafiltration membrane impregnated with the copper acetate monohydrate/nickel chloride/thiourea (CuNit) nanoparticle through its physical properties, chemical properties, water flux, humic rejection, and antifouling properties against peat water. The ultrafiltration membrane was fabricated via phase inversion by blending CuNit nanoparticles (1, 3, and 5 wt/wt PVDF %) and PVDF (16 wt %) in N‐Methyl‐2‐pyrrolidone (NMP, 42 wt %) as the solvent. The humic rejection and fouling test are conducted using peat water collected from the Beladin water treatment plant. As a result, M03, which has 1 wt/wt PVDF % of CuNit nanoparticle, gives a better result of pure water flux, humic rejection, and fouling recovery rate with a value of 82 L/m2 h, 93 %, and 40 % compared to pristine PVDF membrane. The fouling of M03 recorded a low total rate of fouling (76 %) that is caused by high reversible fouling and low irreversible fouling with a value of 0.16 and 0.59, respectively, compared to the pristine PVDF membrane. In conclusion, due to the agglomeration that occurs in the further addition of CuNit nanoparticles, coating or encapsulation must be done to improve the stability of nanoparticles and reduce the leach‐out problem as well as provide a good distribution between the nanoparticle and casting solution during the membrane fabrication.
Sensitive Determination of Diosmetin Using Orange‐Red Fluorescent Copper Nanoclusters
Authors: Yang Xin , Kuang Jianhua , Yuan Jingxue , Feng Yao , Cheng Zhengjun 
Published: October 2024

AbstractDiosmetin (Dio) has attracted much attention because of its good pharmacological effects, thus it is necessary to determine its content in scientific research and production. In the study, stable orange‐red copper nanoclusters with 4‐hydroxy‐2‐mercapto‐6‐propylpyrimidine (PTU) as reducing agent and ligand (PTU‐CuNCs) was prepared by a simple approach with superior quantum yield (18.03 %), and the PTU‐CuNCs with red fluorescence could improve the anti‐interference ability of detection. Meanwhile, the synthesis conditions of PTU‐CuNCs were optimized and analyzed in detail. Through a series of experiments, it was found that inner filter effect (IFE) and dynamic quenching might become the main reasons for the fluorescence quenching of PTU‐CuNCs by Dio. Based on the mechanism, a fluorescence probe for the determination of Dio was established. In the range of 0.33–31.67 μmol L−1, the fluorescence quenching efficiency of PTU‐CuNCs was linearly related to the contents of Dio, and corresponding limit of determination (LOD) was estimated to be 101.3 nmol L−1, and limit of quantitation (LOQ) was calculated to be 337.4 nmol L−1. Furthermore, the method could be used effectively for the assay of Dio in practical samples.
Synthesis and Characterization of New Chiral Polyurea‐Polyurethane Nanocomposites Incorporating Cinchona‐Derived Urea Organocatalysts
Authors: Abdelkawy Mahmoud A. , Itsuno Shinichi 
Published: October 2024

AbstractThe field of asymmetric organocatalysis has witnessed significant advancements in recent years, with chiral urea and thioureas emerging as powerful catalysts. In this study, we aimed to design novel polyurea‐polyurethane nanocomposites functionalized with cinchona urea groups, incorporating organoclay and graphene oxide, to serve as heterogeneous organocatalysts in asymmetric synthesis. The synthesis of these polyurea‐polyurethane nanocomposites was achieved through a two‐component polycondensation reaction. The resulting chiral polyurea‐polyurethanes (PU‐PURs) exhibited favorable yields and demonstrated precise control over stereochemistry, resulting in high enantioselectivity. The incorporation of nanocomposites, such as CU‐MMT and graphene oxide (GO), significantly enhanced the catalytic performance of the PU‐PURs. The CU‐MMT nanocomposites exhibited higher catalytic activity, while the PU‐PURs/GO still exhibited enantioselectivity greater than 99 %. Overall, this study highlights the potential of these novel polyurea‐polyurethane nanocomposites as efficient and versatile heterogeneous organocatalysts in asymmetric synthesis.
Enhanced Photodegradation of Imidacloprid Using ZnO@Ca‐Alginate Composites: Optimization of pH and pHzcp for Effective Water Treatment
Authors: Zyoud Ahlam , Zyoud Ahed H. , Zyoud Shaher H. , Zyoud Samer H. , Qamhieh Naser , Hilal Hikmat S. 
Published: October 2024

AbstractThis research focused on the photodegradation of the insecticide imidacloprid (IM) via a ZnO@Ca‐Alginate composite catalyst to address water contamination issues, particularly in agricultural areas such as Palestine. The composite was synthesized and characterized by scanning electron microscopy (SEM), X‐ray diffraction (XRD), energy dispersive X‐ray (EDX), thermogravimetric analysis (TGA), and Fourier transform infrared (FT‐IR) spectroscopy, confirming the presence of ZnO. Photocatalytic experiments under simulated solar light revealed significant IM degradation, with a 50 % reduction in 40 minutes, an 80 % reduction in 2 hours, and up to 94 % in 3 hours. The degradation efficiency was influenced by the point of zero charge (pHzcp) and solution pH, with optimal performance under neutral to slightly basic conditions. UV‐visible spectrophotometry, high‐performance liquid chromatography (HPLC), and total organic carbon (TOC) analyses verified complete IM mineralization, yielding CO₂, Cl−, and NO₃− after 3 hours. The ZnO@Ca‐Alginate composite demonstrated high reusability, highlighting its potential for treating pesticide‐contaminated water. This study emphasizes the need for efficient pollutant removal technologies in regions where agricultural pollutants are prevalent.
Effect of Hydrophobic Acrylic Monomers with Different Alkyl Side Chain Lengths on Reducing the Glistening of Hydrophobic Acrylic Intraocular Lens Materials
Authors: Kim Tae Hyoung , Song Ki Chang 
Published: October 2024

AbstractGlistening is the condensation of water that forms within the intraocular lens (IOL) materials. In this study, a new approach was attempted to reduce the glistening of IOL materials by introducing hydrophobic acrylic monomers with different alkyl side chain lengths into the IOL materials. Various hydrophobic acrylic monomers such as butyl acrylate (BA), 2‐ethylhexyl acrylate (EHA), and dodecyl acrylate (DA) were copolymerized with a hydrophobic acrylic monomer, 2‐phenoxyethyl acrylate, respectively. In this process, we investigated the effect of the alkyl side chain lengths of hydrophobic acrylic monomers on the glistening of hydrophobic acrylic IOL materials. As the content of hydrophobic acrylic monomers (BA, EHA, and DA) increased, the glistening of IOL materials decreased significantly for all hydrophobic acrylic monomers. At the same content of hydrophobic acrylic monomers, the IOL material showed the least content of glistening when copolymerized with DA. However, the IOL material obtained using BA exhibited the largest content of glistening, indicating that the glistening reduction effect was large in the order of DA>EHA>BA. These findings show that the glistening of IOL materials decreases with increasing alkyl side chain lengths of hydrophobic acrylic monomers.
Unveiling the Singular Conformation of the 3‐Fluoropyrrolidinium Cation
Authors: Flávia Cândida Silva Ana , Martins Francisco A. , Freitas Matheus P. 
Published: October 2024

AbstractThe pyrrolidine ring is a 5‐membered ring that holds significant importance in biological chemistry. The introduction of fluorine at position 3 of pyrrolidine results in pseudo‐axial and pseudo‐equatorial C−F bonds. However, both quantum‐chemical calculations and infrared spectroscopy reveal that the 3‐fluoropyrrolidinium cation only adopts one conformation, with the C−F bond in the pseudo‐axial orientation. Upon deprotonation of 3‐fluoropyrrolidinium, leading to the formation of 3‐fluoropyrrolidine, four conformations are predicted based on CCSD/DGTZVP quantum‐chemical calculations. Among these, the conformation favoring an N−H⋅⋅⋅F−C interaction emerges as the most stable, both in the gas phase and within an implicit DMSO medium. The heightened ring puckering observed in 3‐fluoropyrrolidinium compared to the most stable conformation of 3‐fluoropyrrolidine suggests that the singular conformation of the cation arises from a robust attractive electrostatic interaction resembling hydrogen bonding, rather than a charge‐dipole gauche effect as previously assumed.
A Systematic Literature Review for Investigating DevOps Metrics to Implement in Software Development Organizations
Authors: Kumar Ankur , Nadeem Mohammad , Shameem Mohammad 
Published: October 2024

ABSTRACTDevOps is a collaborative software development process where practitioners work as a team to continuously develop, deploy, and deliver software. DevOps practices still need to be mature, and practitioners face numerous challenges while considering DevOps as a software development process. The mainstream research community has helped simplify the DevOps adoption process and eliminate complexities by developing DevOps maturity models. However, the current maturity frameworks cannot measure every component of DevOps and do not mention metrics as parameters for measuring different DevOps practices or features. Therefore, this study aims to identify metrics for measuring practices and activities responsible for DevOps implementation. The systematic literature review (SLR) method was used to determine the metrics needed to measure DevOps practices. Using SLR, we have identified 32 metrics from 57 articles. The metrics identified in this study can be used to measure the impact of the practices adopted for DevOps implementation within software development organizations. Furthermore, we divided the identified metrics into Dev and Ops categories and five significant categories based on the DevOps lifecycle. The classification of metrics in our study into diverse regions provides a conceptual framework and understanding of DevOps measures.
Promoting student success and retention through care teams and case management at small institutions
Authors: Arena Curtis , Butera Rae‐Anne , Perl Emily 
Published: October 2024

AbstractCare teams, an important structure at most institutions of higher education, coordinate the work of various units to intervene with students who are at risk of attrition, academic failure, and/or are experiencing socio‐emotional struggles. The authors provide various examples of how case management and Care Teamwork is structured in the small institution setting. Using their institutions as case studies, the authors provide examples of various collaborative structures that coordinate case management and support at‐risk students; and situate this work in the small institution setting, with particular attention to the expectations that these institutions and students’ families have for high touch student success efforts; and discuss ways in which technology supports and contributes to case management and Care Team work.
Applying a theory of change framework to create transformative and equity‐based community engagement experiences at a small, liberal arts, Lasallian institution
Authors: Dempsey Sarah Beth , Diaz Adeline , Giordano Samantha , Meza Bianca 
Published: October 2024

AbstractSaint Mary's College of California is a small, Catholic Lasallian, liberal arts institution located in the San Francisco Bay area. Founded in 1863, the institution currently serves approximately 2,000 enrolled students. The Catholic Institute for Lasallian Social Action (CILSA) is the social justice and community engagement center that provides institutional support for curricular and co‐curricular community engagement (CE) experiences. In the academic year 2020–2021, CILSA staff collaborated with CE faculty, alumni, staff, and community partners to develop a Theory of Change to explore the challenges, values, and strategies of engagement work and make change in our community. In this article, we will highlight our engaged learning programs, describe our process to create CILSA's Theory of Change, share the ways CILSA staff support and collaborate with each other, and showcase the Head‐Heart‐Hands framework for student reflection.
Innovations in staffing and service delivery structures and modalities in small institutions
Authors: McGhee James , Weinstein Sara 
Published: October 2024

AbstractSmall institutions are in a unique and perhaps necessary position to innovate as the field changes, resources falter, and the needs of the next generation of students and families become apparent and quite different from those supported by our historical structures and service modalities. This article examines the literature surrounding historical and innovative practices that higher education can explore to inform the future of student development practice. Additionally, the article explores new structural models and examines the efficacy of retaining the scaled down versions of the structures of large universities instead of creating new modalities that increase staff performance, provide better work/life harmony, create more efficient and effective services and functions, while increasing student engagement and connection.
FLOWERS AEP: An Analytical Model for Wind Farm Layout Optimization
Authors: LoCascio Michael J. , Bay Christopher J. , Martínez‐Tossas Luis A. , Bastankhah Majid , Gorlé Catherine 
Published: October 2024

ABSTRACTAnnual energy production (AEP) is commonly used in objective functions for wind farm layout optimization. AEP is proportional to wind farm power production integrated over an annual distribution of free‐stream wind conditions. Physics‐based estimates of wind farm power production typically rely on low‐fidelity engineering wake models that approximate the steady‐state wind farm flow field. AEP estimates are then obtained by performing independent simulations for discrete wind conditions and using rectangular quadrature to account for each condition's expected frequency of occurrence. Depending on the number of simulated discrete wind conditions, this numerical integral could be hampered by poor accuracy or high computational costs. The FLOWERS AEP model instead poses an analytical integral of the engineering wake model over the variable wind conditions, yielding a closed‐form, analytical function for wind farm AEP. This paper derives the analytical functions for FLOWERS AEP and its derivatives with respect to turbine position, which are useful for gradient‐based wind farm layout optimization, in nondimensional form. We then analyze the benefits of the FLOWERS AEP model over conventional reference models, focusing on its low cost, adequate wake loss predictions, and smooth design space. Although the FLOWERS approach is found to predict the exact value of AEP with some error relative to the reference model (within 14% on average), it dramatically reduces computation time by an order of magnitude, produces a qualitatively similar design space at relatively low resolution, and yields comparable optimal layouts. This significant speed improvement is critical in layout optimization applications, where determining an optimal layout in an efficient manner is more important than precise AEP prediction.