bluuebunny/crossref_metadata_2025_split huggingface dataset:
Single‐differential difference current conveyor‐based first‐order VM/TAM universal filter and its applications
Authors: Raj Ajishek , Senani Raj , Bhaskar D. R. 
Published: November 2023

AbstractA new first‐order universal filter structure is presented in this article using a single differential difference current conveyor (DDCC). The proposed circuit can provide three first‐order filter functions namely, high‐pass filter (HPF), low‐pass filter (LPF), and all‐pass filter (APF) in voltage mode (VM) and transadmittance mode (TAM) both. A voltage amplifier with a gain of 2 is required for the realization of the APF functions in both the modes while for LPF and HPF, no condition is required. The pole frequency and gain of the proposed circuit can be controlled separately. The effect of the parasitic impedances of the DDCC has been modeled in the nonideal equivalent circuit from which nonideal parameters have been evaluated and compared with their ideal ones. Application examples of the proposed circuits configured as amplitude equalizer (in both modes) and in the realization of a simple wideband band‐pass filter are also discussed. The functionality of the proposed circuit as well as its mentioned application circuits is verified using complementry metal oxide semiconductor DDCC to support the theoretical propositions. Some experimentally observed frequency responses and transient responses of the various VM filters have also been corroborated using DDCC implemented using AD844 ICs.
Cultivating strategic agility – An empirical investigation into best practice
Authors: Christofi Kyriakos , Chourides Pieris , Papageorgiou George 
Published: November 2023

AbstractAmidst the fluidity of today's post‐COVID business environment, this paper aims to fortify the discourse on strategic agility, by presenting a comprehensive best practice framework for its development and sustenance. This is achieved by carrying out an empirical investigation on four best practice multinational corporations. Despite abundant scholarly attention, a critical gap persists in the empirical examination of specific functional practices and their role for fostering strategic agility. This research fills this void, leveraging in‐depth interviews with strategic‐level managers and analyzing archival data, revealing that strategic agility necessitates a systemic approach and congruent efforts across organizational functions. Key findings underscore the role knowledge management as the linchpin, with corresponding emphasis on dynamic talent management, strategic partnerships, open innovation, digitalization, and sustainability. As a result, this paper contributes to the strategic management literature by offering practical insights for managers of global businesses in navigating the complexities of a rapidly evolving competitive landscape towards organizational excellence
Estimation of kidney function for medication dosing in adult patients with chronic kidney disease: a practice update
Authors: Mirkov Sanja , Scuderi Carla , Lloyd Jess , Coutsouvelis John , O'Connor Shaun , Potts Simon , Newman Suzanne , Roberts Jason 
Published: November 2023

AbstractChronic kidney disease (CKD) is a major health concern with a growing disease burden and inequalities in access to treatments. Glomerular filtration rate (GFR) is accepted as the best overall measure of kidney function and is considered the most important measure for medications cleared by the kidneys. In clinical practice, equations that estimate GFR using validated prediction equations are routinely used. This practice update was developed by a Working Group comprising clinical pharmacists representing the Society of Hospital Pharmacists of Australia (SHPA) Specialty Practice streams of Nephrology, Oncology and haematology, Critical care and Infectious diseases. It is intended to provide practical recommendations for clinical pharmacists who use equations to estimate GFR for medication dosing decisions. The limitations of the various equations in use — such as the Chronic Kidney Disease Epidemiology Collaboration (CKD‐EPI), the Cockcroft–Gault equation and Modification of Diet in Renal Disease — are summarised and compared to direct measures of kidney function using exogenous markers. The CKD‐EPI equation is recommended to be used routinely as a primary measure of kidney function. Dose adjustments should also consider medication‐specific, patient‐related, and disease‐related characteristics. Kidney function and the response to therapy should be continuously assessed by monitoring the signs, symptoms and disease outcomes, the emergence of adverse reactions or medication‐induced disorders and use therapeutic drug monitoring (if available) to adjust doses accordingly.
Assessment of salt‐affected soil in Indo‐Gangetic Plain of Uttar Pradesh and prediction using regression model
Authors: Hiranmai R. Y. , Neeraj Ajay 
Published: November 2023

AbstractIn the present study, multiple sites in the Indo‐Gangetic Plain (IGP) were examined, and most of the sites were found to be non‐saline, with electrical conductivity (EC) values below 4.0 dSm−1. The highest value of EC 8.5 dSm−1 was reported for samples collected from JAN‐2, which, followed by site RBL‐3, also shows a high value of EC 6.5 dSm−1. The highest CEC (cmolkg−1) was reported in samples collected from site JAN‐1 (8.4), JAN‐2 (8.2), and JAN‐3 (8.21), and the lowest at RBL‐2 (3.99). The highest exchangeable sodium percentage (ESP) value of 34.07% was observed at RBL‐3, indicating a potential salinity risk associated with elevated sodium contents. The analysis showed that salt was present at all study sites, and there were strong correlations between the variables examined. The relationship between measured ESP and predicted ESP shows a strong correlation with an r2 value of 0.91, indicating the applicability of ESP–sodium adsorption ratio (SAR). Paired samples t‐test results p‐value = 0.27 indicated no significant difference (p > 0.05) between the soil ESP values predicted by the soil ESP–SAR model and those obtained through laboratory testing. The statistical results of the study suggested that the soil ESP–SAR model was reliable for predicting ESP values. The soil ESP differences between the two methods were normally distributed, and the 95% limits of agreement were calculated as −7.79 and 5.55. The mean difference between the ESP–SAR model and the “Measured” method was calculated as 2.24, representing the average deviation between the two. The study presents the ESP–SAR model as a cost‐effective and efficient method for estimating soil ESP and assessing soil salinity. By analyzing soil properties and validating the model, it provides valuable insights for policymakers and stakeholders in combating agricultural land degradation in the IGP. The novelty lies in its comprehensive evaluation of soil salinity indices, reinforcing the applicability of the ESP–SAR model for future research and agricultural management.
Model studies for enzyme inhibition. Part III: Kinetics and thermodynamics of the reaction of diisopropyl phosphorofluoridate with α‐cyclodextrin in aqueous alkaline media
Authors: van Hooidonk C. , Breebaart‐Hansen J.C.A.E. 
Published: November 2023

AbstractThe temperature‐dependency of the reaction rate of diisopropyl phosphorofluoridate with α‐cyclodextrin has been determined in aqueous alkaline media.The dissociation constant (Kdiss) of the prereaction I : I inclusion complex increases from 0.078 at 5° to 0.46 M at 45°. The changes in enthalpy and entropy involved in the dissociation are 7.3 kcal · mole−1 and 21 e.u., respectively.The rate constant for the nucleophilic reaction (k2) increases from 0.109 at 5° to 1.65 min−1 at 45°; the activation energy involved is 11.6 kcal · mole−1.The thermodynamic data are discussed in relation to similar data from the literature for the inhibition of acetylcholinesterase by diisopropyl phosphorofluoridate.The results suggest that polar interactions are important in the formation of an inclusion complex between the organophosphorus compound and the cyclodextrin.The α‐cyclodextrin mimics an enzyme in certain aspects: however, its simple molecular structure limits its value as an enzyme model.
Adaptive MPC for multi‐player systems with parametric uncertainties: The noncooperative game case
Authors: Xu Yang , Yuan Yuan , Wang Zhen 
Published: November 2023

SummaryIn this paper, the distributed adaptive model predictive noncooperative game problem is proposed for the discrete‐time multi‐player systems (MPSs) with parametric uncertainties and undirected graph. The state and input constraints are considered along with the parametric uncertainties. An adaptive parameter estimator is proposed for the parametric uncertainty based on a nonlinear scheduling function. Furthermore, the cost function is constructed based on the estimated parametric uncertainties, which is used to replace the cost function of the MPSs with parametric uncertainties. An iterative algorithm is developed such that the adaptive model predictive dynamic game (AMPDG) could converge to the so‐called ‐Nash equilibrium in a distributed manner. We establish sufficient conditions to guarantee the convergence of the proposed algorithm. In addition, the easy‐to‐check conditions are also provided to ensure the uniform boundedness of the studied MPSs. Finally, a numerical example of a group of spacecrafts is provided to verify the effectiveness of the proposed methodology.
Separation and quantification of organic‐related impurities of beta‐adrenergic receptor blocking agent propranolol in pharmaceutical solid dosage forms: Impurity profiling using stability‐indicating HPLC method
Authors: Pasham Mohan , Haridasyam Sharath Babu , Vadagam Niroja , Boppy N. V. V. D. Praveen , Chinnakadoori Sanjeeva R. , Lakka Narasimha S. 
Published: November 2023

AbstractPropranolol hydrochloride (PPH) is a medication of beta‐adrenergic receptors. It is used to treat pediatric hemangiomas that are growing and need systemic therapy. A reversed‐phase high‐performance liquid chromatography (HPLC) was made to separate and estimate the amounts of ten known organic impurities of propranolol in bulk drugs, tablets, and capsule dosage forms. The chromatographic separation was achieved on a C18 column (100 × 4.6 mm, 2.7 μm) using a binary gradient mixture of pH 2.3 phosphate buffer and organic modifiers of acetonitrile, methanol, and isopropyl alcohol as the mobile phase. The stability‐indicating character of the proposed method was proven using stress testing study. The test method was validated for specificity, limit of detection, limit of quantitation, linearity, precision, accuracy, and robustness. For the propranolol and its ten organic impurities, the limit of quantitation, linearity, and recoveries were found in a range of 0.0123–0.4266 μg/mL (R2 > 0.9982) and 89.2–98.9%, respectively. The proposed liquid chromatography method is found to be highly suitable for impurity profiling of propranolol in bulk drugs and pharmaceutical formulations (tablets and capsules).
Nonlinear analysis of the impact of openings on punching shear strength
Authors: Vieira Pedro H. S. M. , Díaz Rafael S. , Marques Marília G. , Liberati Elyson A. P. , Trautwein Leandro M. 
Published: November 2023

AbstractReinforced concrete flat slab projects usually require openings close to the columns for electrical and hydraulic installations. Since such openings reduce the punching shear of slabs, a comprehensive study is needed. In this paper, numerical models of slabs tested in literature were elaborated upon, using the commercial software in finite elements DIANA. The physical nonlinearity of the materials was considered. After the calibration and validation of the numerical parameters related to concrete and reinforcement, 62 numerical models were created for performing a parametric analysis. The numerical analysis aimed to study the effect of openings close to the columns and verify the punching resistance reduction. In this parametric study, the main variables were the compressive strength of the concrete, the bending reinforcement ratio, the number of openings, and the distance from the openings to the column's face. Finally, the numerical results obtained were compared with the punching strength values provided by the main structural design codes, viz., NBR 6118 (2014), Eurocode 2 (2004), ACI 318 (2019), fib Model Code (2010), and the next generation of Eurocode 2, which are constantly questioned in academic papers regarding their safety.
Revolutionizing peptide‐based drug discovery: Advances in the post‐AlphaFold era
Authors: Chang Liwei , Mondal Arup , Singh Bhumika , Martínez‐Noa Yisel , Perez Alberto 
Published: November 2023

AbstractPeptide‐based drugs offer high specificity, potency, and selectivity. However, their inherent flexibility and differences in conformational preferences between their free and bound states create unique challenges that have hindered progress in effective drug discovery pipelines. The emergence of AlphaFold (AF) and Artificial Intelligence (AI) presents new opportunities for enhancing peptide‐based drug discovery. We explore recent advancements that facilitate a successful peptide drug discovery pipeline, considering peptides' attractive therapeutic properties and strategies to enhance their stability and bioavailability. AF enables efficient and accurate prediction of peptide‐protein structures, addressing a critical requirement in computational drug discovery pipelines. In the post‐AF era, we are witnessing rapid progress with the potential to revolutionize peptide‐based drug discovery such as the ability to rank peptide binders or classify them as binders/non‐binders and the ability to design novel peptide sequences. However, AI‐based methods are struggling due to the lack of well‐curated datasets, for example to accommodate modified amino acids or unconventional cyclization. Thus, physics‐based methods, such as docking or molecular dynamics simulations, continue to hold a complementary role in peptide drug discovery pipelines. Moreover, MD‐based tools offer valuable insights into binding mechanisms, as well as the thermodynamic and kinetic properties of complexes. As we navigate this evolving landscape, a synergistic integration of AI and physics‐based methods holds the promise of reshaping the landscape of peptide‐based drug discovery.This article is categorized under:
Structure and Mechanism > Computational Biochemistry and Biophysics
Molecular and Statistical Mechanics > Molecular Interactions
Software > Molecular Modeling
Genome-Wide Resources for Genetic Locus Discovery and Gene Functional Analysis in Wheat
Authors: Cockram James 
Published: November 2023

AbstractFuture wheat production faces considerable challenges, such as how to ensure on-farm yield gains across agricultural environments that are increasingly challenged by factors such as soil erosion, environmental change and rapid changes in crop pest and disease profiles. Within the context of crop improvement, the ability to identify, track and deploy specific combinations of genes tailored for improved crop performance in target environments will play an important role in ensuring future sustainable wheat production. In this chapter, a range of germplasm resources and populations are reviewed can be exploited for genetic locus discovery, characterisation and functional analysis in wheat. These include experimental populations constructed from two or more parents, association mapping panels and artificially mutated populations. Efficient integration of the knowledge gained from exploiting such resources with other emerging breeding approaches and technologies, such as high-throughput field phenotyping, multi-trait ensemble phenotypic weighting and genomic selection, will help underpin future breeding for improved crop performance, quality and resilience.
The Wheat Transcriptome and Discovery of Functional Gene Networks
Authors: Andleeb Tayyaba , Milson James , Borrill Philippa 
Published: November 2023

AbstractGene expression patterns have been a widely applied source of information to start understanding gene function in multiple plant species. In wheat, the advent of increasingly accurate and complete gene annotations now enables transcriptomic studies to be carried out on a routine basis and studies by groups around the world have compared gene expression changes under an array of environmental and developmental stages. However, associating data from differentially expressed genes to understanding the biological role of these genes and their applications for breeding is a major challenge. Recently, the first steps to apply network-based approaches to characterise gene expression have been taken in wheat and these networks have enabled the prediction of gene functions in wheat but only for a handful of traits. Combining advanced analysis methods with better sequencing technology will increase our capacity to place gene expression in wheat in the context of functions of genes that influence agronomically important traits.
Application of the ITA approach to analyze spatio-temporal trends in monthly maximum rainfall categories in the Vu Gia-Thu Bon, Vietnam
Authors: Benzater Benali , Elouissi Abdelkader , Łupikasza Ewa , Pham Quoc Bao , Harizia Abdelkader , Fellah Sahnoun 
Published: November 2023

AbstractThis study aims to investigate the trend behavior of monthly maximum in daily rainfall categories in the Vu Gia-Thu Bon river basin located in central Vietnam. Daily maximum rainfall series from 12 rainfall stations for the period 1979–2018 were utilized to characterize six categories of the intensity of daily maximum rainfall: light (0–4 mm/day, category A), mild-moderate (4–16 mm/day, category B), moderate-heavy (16–32 mm/day, category C1), heavy (32–64 mm/day, category C2), heavy-torrential (64–128 mm/day, category D1), and torrential (≥ 128 mm/day, category D2). The new approach of the Innovative Trends Analysis was then applied to the six classified categories. The results revealed that category B had a dominant increasing trend (32% of rain events) for all the stations in January (5.85%) and February (3.44%). In March and April, category A was dominant with 45% and 20%, respectively. In July, category C1 was dominant with 25%, while in August and September, category C2 prevailed over all stations with 45% (all stations) and 20%, respectively. The categories D1 and D2 were observed at all stations in December and November, with 26% and 31% of events, respectively. These results indicate an increasing trend in the categories B, C1, C2, and D1.
Physical and mechanical properties of particleboard mixed with waste ACQ-treated wood
Authors: Yang Seungmin , Galih Nuridansyah Muhammad , Kim Junho , Lee Hyunjae , Kang Seoggoo 
Published: November 2023

AbstractIn this study, we recycle alkaline copper quaternary (ACQ) -treated wood used as a material for pyrolysis and gasification. The physical and mechanical properties of particleboards manufactured according to the mixing ratio and resin type (phenol–formaldehyde resin; PF, urea–melamine formaldehyde resin; UMF) were compared as materials for particleboard, which are used for wood recycling. According to the increase of ACQ particle input ratio, the PF particleboard did not differ in density; however, the thickness welling rate (TSR) and water absorption rate (WAR) decreased. The density of the UMF particleboard increased and the TSR and WAR also decreased. Although the bending strength (BS) of the PF particleboard increased, the internal bond strength (IB) did not show a difference. The UMF showed no difference in BS, but the IB improved. Through physical and mechanical properties, the mixing ratio of ACQ particle and untreated particles was 70:30 as the optimal mixing ratio. The surface was activated by the copper ions of the ACQ treated, which affected the improvement of adhesion and physical and mechanical properties. When ACQ-treated wood, which is classified as waste, was reused as a particleboard, its properties were superior to that of a board manufactured with untreated particles.
Link between the internal variability and the baroclinic instability in the Bohai and Yellow Sea
Authors: Lin Lin , von Storch Hans , Chen Xueen , Jiang Wensheng , Tang Shengquan 
Published: November 2023

AbstractA regional ocean ensemble simulation with slightly different initial conditions demonstrates that internal variability is formed (not only) in the Bohai and Yellow Sea. In this paper, we analyze the relationship between the internal variability and the baroclinic instability, (represented by the Eady predicted theoretical diffusivity $${K}_{t}$$

K
t

; the larger the $${K}_{t}$$

K
t

, the stronger the baroclinic instability level). In the ensemble, with tidal forcing, the spatial correlation between the Eady predicted theoretical diffusivity $${K}_{t}$$

K
t

and the internal variability amounts to 0.80. Also, the time evolution trends of baroclinic instability and internal variability are similar. Based on this evidence, baroclinic instability may be a significant driver for internal variability. This hypothesis is validated using an additional ensemble of simulations, which is identical to the first ensemble, but this time, the tides are inactivated. This modification leads to an increase in internal variability, combined with the strengthening of baroclinic instability. In addition, the baroclinic instability level and internal variability variation co-vary consistently when comparing summer and winter seasons, both with and without tides. Our interpretation is that a stronger baroclinic instability causes more potential energy to be transformed into kinetic energy, allowing the unforced disturbances to grow.
Analysis of data from the PALOMA-3 trial confirms the efficacy of palbociclib and offers alternatives for novel assessment of clinical trials
Authors: Yeh Celine , Zhou Mengxi , Bapodra Neil , Hershman Dawn , Espinal Edward , Moran Marina , Rivero Maria , Fojo Antonio Tito , Bates Susan E. 
Published: November 2023

Abstract
Purpose
There remains a need for novel therapies for patients with metastatic breast cancer (MBC). We explore the use of a novel biomarker of survival that could potentially expedite the testing of novel therapies.

Methods
We applied a tumor regression-growth model to radiographic measurement data from 393 women with MBC enrolled in PALOMA-3 examining efficacy of palbociclib in disease that had progressed on previous endocrine therapy. 261 and 132 women were randomized to fulvestrant plus palbociclib or placebo, respectively. We estimated rates of regression (d) and growth (g) of the sensitive and resistant fractions of tumors, respectively. We compared the median g of both arms. We examined the relationship between g and progression-free and overall survival (OS).

Results
As in other tumors, g is a biomarker of OS. In PALOMA-3, we found significant differences in g among patients with tumors sensitive to endocrine therapy but not amongst resistant tumors, emulating clinical trial results. Subgroup analysis found favorable g values in visceral metastases treated with palbociclib. Palbociclib efficacy demonstrated by slower g values was evident early in the trial, twelve weeks after the first 28 patients had been enrolled.

Conclusion
Values of g, estimated using data collected while a patient is enrolled in a clinical trial is an excellent biomarker of OS. Our results correlate with the survival outcomes of PALOMA-3 and argue strongly for using g as a clinical trial endpoint to help inform go/no-go decisions, improve trial efficiency, and deliver novel therapies to patients sooner.