bluuebunny/crossref_metadata_2025_split huggingface dataset:
Eating concerns in youth with functional abdominal pain disorders
Authors: Sim Leslie , Ramachandran Neha , Murad Sammy T. , Lebow Jocelyn , Alexander Erin , Johnson Grace L. , Harbeck‐Weber Cynthia 
Published: September 2024

AbstractObjectivesAdolescents with functional abdominal pain (FAP) often experience pain and other gastrointestinal symptoms in the context of eating, which may place them at risk for eating disorders. This study compared disordered eating and its sequalae in adolescents with FAP to those with chronic headache.MethodsParticipants in this retrospective chart review study were 270 adolescents and young adults (mean age 15.9; standard deviation [SD] = 1.63; 60% female) attending an intensive, interdisciplinary pain treatment program, including 135 youth with FAP and an age‐ and gender‐matched control group with a primary pain diagnosis of chronic headache. Information was extracted related to eating‐ and weight‐related symptoms.ResultsIndependent t‐tests and χ2 analyses found that compared with adolescents with chronic headache, patients with FAP showed significantly more eating pathology as reflected by scores on the Eating Attitudes Test—26 (EAT‐26) (p < 0.001), endorsement of pain‐related restrictive eating (p < 0.01), eating disorder history (p < 0.001), and avoidant restrictive food intake disorder (ARFID) diagnoses (p < 0.001). Compared to those with chronic headache, significantly more patients with FAP had lost 10 pounds or more (p < 0.01) and a higher proportion were underweight (p < 0.001). Among all participants, a history of exclusion diets used to manage symptoms significantly increased the risk for ARFID (p < 0.001).ConclusionThe results of this study highlight the increased risk of eating‐related concerns among youth with FAP, as well as the judicious use of exclusion diets to manage symptoms in these patients.
A Versatile In Situ Precipitation Assisted Direct‐Write‐3D Printing Strategy for Skinless Hierarchical Porous Polymeric Scaffolds
Authors: Zhang Xinlei , Guo Mingyu 
Published: September 2024

AbstractSkinless, hierarchical porous 3D polymer scaffolds are of critical importance in tissue engineering, enabling improved cell infiltration, nutrient, metabolite and energy exchange, and biomimetic structures, crucial for regenerative medicine, drug delivery, and advanced material applications. However, it is still a great challenge to construct this kind of material with traditional 3D printing techniques. Herein, a novel simple, and versatile in situ precipitation‐assisted direct‐write‐3D printing strategy for skinless, hierarchical porous 3D scaffolds is reported. Homogenous ink containing molecularly dissolved fructose (soluble porogen molecule) and polymer (whether it is hydrophilic, hydrophobic or amphiphilic) is directly extruded into a nonsolvent bath, where simultaneously solidification of the polymer and in situ precipitation of the porogen molecules both on the exterior surface and inside the separated polymer fibers happen. Subsequently, by simply leaching the in situ formed porogen particles, skinless hierarchical porous polymeric 3D scaffolds can be obtained. It is believed that 3D printing, polymer/macromolecule‐based scaffolds, especially the skinless hierarchical porous biomaterials, and the tissue engineering market can benefit tremendously from this simple and versatile approach.
Heat Transfer Analysis of the Blade Coating Process Using Oldroyd 4‐Constant Nanofluid Model With Non‐Linear Slip and Magnetohydrodynamics (MHD) Effects
Authors: Javed Muhammad Asif , Khalil Hammad , Ghaffari Abuzar 
Published: September 2024

AbstractBlade coating is a process that applies a fluid to a surface using a fixed blade. Among various coating technologies, blade coating offers significant economic advantages. It is commonly employed in the production of paper, information preservation, the application of coloring agents, and the manufacture of photographic films and magnetic storage devices. The novelty of this work lies in the investigation of the blade coating process for an electrically conducting Oldroyd 4‐constant liquid, incorporating velocity slippage at the blade surface in an area previously underexplored. The mathematical equations are modeled with the use of Lubrication Approximation Theory (LAT) and the normalized equations of the Oldroyd 4‐constant fluid are numerically solved by the Matlab built‐in function bvp4c using Regula‐Falsi Method. The impact of sundry parameters on physical quantities is examined through graphical representation. It is noted from the theoretical results that for the fixed value of the MHD parameter (M = 2.5), the coating thickness and blade load increased by 31% and 1648% respectively, for plane coater. For the exponential coater, these values increased by 29% and 1618% from their Newtonian value. These findings offer new insights into optimizing the blade coating process for complex fluid systems.
Microglial senescence in neurodegeneration: Insights, implications, and therapeutic opportunities
Authors: Olajide Tobiloba Samuel , Oyerinde Toheeb O. , Omotosho Omolabake I. , Okeowo Oritoke M. , Olajide Olayemi J. , Ijomone Omamuyouwi M. 
Published: September 2024

AbstractThe existing literature on neurodegenerative diseases (NDDs) reveals a common pathological feature: the accumulation of misfolded proteins. However, the heterogeneity in disease onset mechanisms and the specific brain regions affected complicates the understanding of the diverse clinical manifestations of individual NDDs. Dementia, a hallmark symptom across various NDDs, serves as a multifaceted denominator, contributing to the clinical manifestations of these disorders. There is a compelling hypothesis that therapeutic strategies capable of mitigating misfolded protein accumulation and disrupting ongoing pathogenic processes may slow or even halt disease progression. Recent research has linked disease‐associated microglia to their transition into a senescent state—characterized by irreversible cell cycle arrest—in aging populations and NDDs. Although senescent microglia are consistently observed in NDDs, few studies have utilized animal models to explore their role in disease pathology. Emerging evidence from experimental rat models suggests that disease‐associated microglia exhibit characteristics of senescence, indicating that deeper exploration of microglial senescence could enhance our understanding of NDD pathogenesis and reveal novel therapeutic targets. This review underscores the importance of investigating microglial senescence and its potential contributions to the pathophysiology of NDDs, including Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. Additionally, it highlights the potential of targeting microglial senescence through iron chelation and senolytic therapies as innovative approaches for treating age‐related NDDs.
Multistage stochastic programming for integrated network optimization in hurricane relief logistics and evacuation planning
Authors: Bhattarai Sudhan , Song Yongjia 
Published: September 2024

AbstractIn this article, we study the integrated hurricane relief logistics and evacuation planning (IHRLEP) problem, integrating hurricane evacuation and relief item pre‐positioning operations that are typically treated separately. We propose a fully adaptive multistage stochastic programming (MSSP) model and solution approaches based on two‐stage stochastic programming (2SSP). Utilizing historical forecast errors modeled using the auto‐regressive model of order one, we generate hurricane scenarios and approximate the hurricane process as a Markov chain, and each Markovian state is characterized by the hurricane's location and intensity attributes. We conduct a comprehensive numerical experiment based on case studies motivated by Hurricane Florence and Hurricane Ian. Through the computational results, we demonstrate the value of fully adaptive policies given by the MSSP model over static ones given by the 2SSP model in terms of the out‐of‐sample performance. By conducting an extensive sensitivity analysis, we offer insights into how the value of fully adaptive policies varies in comparison to static ones with key problem parameters.
Low‐velocity impact resistance of the Z‐pin reinforced carbon fiber composite laminates
Authors: Wu Wenyun , Guo Zhangxin , Shi Haolin , Niu Weijing , Chai Gin Boay , Li Yongcun 
Published: September 2024

AbstractA voronoi user material subroutine (VUMAT) was developed using the three‐dimensional Hashin damage criterion and exponential nonlinear damage evolution method. An interlayer damage model based on the quadratic nominal stress (QUADS) criterion and B‐K fracture criterion was introduced, and a finite element model of Z‐pin reinforced composite laminates under low‐velocity impact was established. The low‐velocity impact behavior of Z‐pin reinforced composite laminates with different impact velocities (0.6 m/s, 0.4 m/s, and 0.3 m/s), different layup forms ([0°/90°]4 and [0°/45°/90°/−45°]2), and different Z‐pin spacing (4 mm, 8 mm, and 16 mm) was studied using ABAQUS. The results indicate that different layup forms have little effect on the low‐velocity impact behavior of Z‐pin reinforced composite laminates. The Z‐pin spacing has a significant influence on the low‐velocity impact behavior of Z‐pin reinforced composite laminates. When the impact velocity is 0.4 m/s, the specific energy absorption of composite laminates with Z‐pin spacing of 16 mm is 85.93% and 87.7% lower than that of composite laminates with Z‐pin spacing of 4 mm and 8 mm. As the Z‐pin spacing decreases (Z‐pin density increases), the impact resistance of Z‐pin reinforced composite laminates first increases and then decreases.Highlights• The low‐velocity impact of Z‐pin reinforced composite laminates was studied.• Analyzed the effect of layup forms of laminates on their impact behavior.• Explored the influence mechanism of Z‐pin spacing on the impact behavior.• Studied the energy absorption of different Z‐pin spacing under impact velocity.
Stabilization of fractional nonlinear systems with disturbances via sliding mode control
Authors: Wang Feng‐Xian , Cui Jun‐Qi , Zhang Jie , Lu Yu‐Feng , Liu Xin‐Ge 
Published: September 2024

AbstractIn this article, the sliding mode control (SMC) of fractional nonlinear systems (FNSs) with disturbances is studied. First, a useful fractional power‐rate inequality for is extended to a more general form . Based on the generalized inequality, the method of a modified fractional integral SMC is completed, in which the parameter of the symbolic function is extended to and . This increases the degree of freedom of the sliding mode surface (SMS). Then, the SMC of FNSs is studied for the cases of known and unknown disturbances. In the case of known disturbance, it is proved by the generalized inequality and quadratic Lyapunov function method that the state of the FNSs can converge asymptotically to zero on the SMS. For the case of unknown disturbance, a fractional disturbance observer is used to estimate the disturbance by introducing auxiliary variables . The disturbance estimation error of the proposed FNSs is proved to be bounded. An equivalent global control law is obtained and asymptotic convergence of the FNSs under the action of the controller is proved. Finally, two numerical simulation examples are given to verify the feasibility of the method proposed in this article.
Monitoring water quality in the lower Kansas River using remote sensing
Authors: Tufillaro Nicholas , Grötsch Philipp , Lalović Ivan , Moitié Sara De , Zeitlin Luke , Zurita Omar 
Published: September 2024

AbstractWe demonstrate how to combine remote sensing data from satellite imagery (Sentinel‐2) with in situ water quality gauging (USGS Super Gages and the Gybe hyperspectral radiometer) to create spatially dense maps of water quality parameters (chlorophyll‐a concentration, turbidity, and nitrate plus nitrite concentration) along the lower Kansas River. The water quality maps are created using locally tuned models of the target water quality parameters, and this study describes the steps used to design, calibrate, and validate the empirical correlations. Water quality parameters such as chlorophyll‐a concentration are correlated with well‐studied absorption and scattering features in the visible spectrum (roughly 400–700 nm). Nutrients (such as nitrate plus nitrite concentration) lack strong absorption features in the visible spectrum, and in those cases we describe a novel surrogate data modeling approach that identifies overlapping water parcels between the in situ gauging and the remote sensing imagery. Measurements from the overlapping water parcels yield excellent correlations () for the target water quality parameters for limited windows of time (or limited sections of river reaches). Examples are provided illustrating how the water quality maps can be used to track river inputs from ungauged sources (such as creeks), or reveal the mixing patterns at the confluences.
Efficacy Assessment of Molecularly Imprinted Polymer Incorporated with Starch and Macadamia Capped Silver Nanoparticles for the Removal of Multi‐Class Pharmaceuticals in Wastewater
Authors: Nxumalo Nonhlazeko L. , Mahlambi Precious N. , Mahlambi Mphilisi 
Published: September 2024

AbstractThe presence of pharmaceuticals in water bodies has been reported to be mainly due to their incomplete removal by the conventional wastewater treatment processes, resulting to their release into the aquatic environment where they thratens to human health and aquatic life. Therefore, it is important to remove these pollutants from the aquatic environment using affordable highly efficient materials. The goal of this study was to incorporate silver nanoparticles (AgNPs) into MIPs for selective removal of sulfamethoxazole, nevirapine, and ibuprofen in wastewater. The AgNPs were synthesized using starch (St) and macadamia (MCD) as both reducing and stabilizing agents. Thermogravimetric analysis showed high stability for the St/MCD‐nanoMIPs. The ANOVA analysis revealed that the parameters affecting adsorption of St/MCD‐nanoMIPs have a significant difference (p<0.05). The St/MCD‐AgNPs experimental data fitted to both Langmuir and Freundlich adsorption isotherms, however, the non‐linear Langmuir isotherm model yielded a better fit based on the higher R2 value (0.999). The non‐linear Freundlich model best fitted for the St/MCD‐nanoMIPs. The linear pseudo‐second order model shown best fit for St/MCD‐nanoMIPs, the thermodynamic results revealed that the adsorption process was spontaneous and endothermic. The St/MCD‐nanoMIPs showed improved qualities and were highly selective (>70 %) and effective in removing the selected pharmaceuticals from wastewater.
Synthesis of 2‐Pyridyl Based N(1)‐Substituted Thiosemicarbazonates of Nickel(II) as Bioactive Materials against MRSA, S. aureus, S. typhimurium 2, and K. pneumonia
Authors: Kaushal Mani , Bala Ritu , Lobana Tarlok S. , Nim Lovedeep , Arora Daljit S. , Jasinski Jerry P. 
Published: September 2024

AbstractIn this investigation, the bio‐activity and biosafe potential of thiosemicarbazonates of nickel(II) as well as that of ligands are described. Reactions of nickel(II) acetate with a series of thiosemicarbazones, {R1(py)C2=N3‐N2(H)‐C1(=S)‐NHR; R1=py, Me, H and Ph; R=H, Me, Et, Ph}, led to the loss of acidic hydrazinic N2(H) protons, and resulted in the formation of six‐coordinated complexes of stoichiometry, [Ni(N,N,S−L)2], where anionic N,N,S−L=py2tsc‐NHR, 1–4; apytsc‐NHR, 5–8; pytsc‐NHR, 9–12 and bpytsc‐NHR, 13–16. All these complexes have been characterized using analytical data, IR and UV‐visible spectroscopy and ESI‐mass spectrometry. The single crystal X‐ray crystal structure of several complexes {2(Me), 7(Et), 11(Et), 12(Ph), 13(H),14(Me) and 15(Et)} were also determined. Thio‐ligands coordinate to nickel(II) through pyridyl nitrogen‐N4, azomethine nitrogen‐N3 and thiolato sulfur atoms, resulting in the formation of homoleptic complexes with octahedral structures. Complexes 1–16 and uncoordinated thiosemicarbzones, were evaluated for their antimicrobial activity, in terms of ZOI, MIC, time kill assay and in vitro percent cell viability MTT assay, against clinical isolate methicillin‐resistant Staphylococcus aureus (MRSA), Staphylococcus aureus (MTCC740), Klebsiella pneumonia (MTCC109), Salmonella typhimurium (MTCC1251), and Candida albicans (MTCC227), a yeast. Both the ligands and their metal complexes exhibited moderate to high bioactivity, and were found to be biosafe with high cell viability, 88–92 %, in several cases.
Green Synthesis of Clay/rGO Composite for Sensitive Detection of Para Nitrophenol in the Environment
Authors: Laghrib Fathellah , Azriouil Mouhcine , Aghris Sara , Farahi Abdelfettah , Saqrane Sanaa , Bakasse Mina , Lahrich Sara , El Mhammedi Moulay Abderrahim 
Published: September 2024

AbstractNitrophenols (e. g., para nitrophenol), although they have beneficial properties, their residuals are injurious to the environment owing to their high lethal potential for many categories of nature (e. g. animals, humans, plants, etc.), which require their monitoring. In this paper, a new Clay/green reduced graphene oxide composite (Clay/rGO) was efficaciously synthesized and utilized as an excellent modifier for carbon paste electrode (CPE) for the electro‐analytical determination of paranitrophenol (PNØ). The electrochemical futures and reduction of PNØ at the surface of the as‐prepared Clay/rGO˧CPE have been executed using DPV differential pulse voltammetry (DPV), cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The use of the EIS provided that the Clay/rGO˧CPE facilitate the electron exchange process. By using the DPV technique in phosphate buffer (PB) under biological pH (7) (PB_7) the prepared monitor exhibited an excellent linearity relationship in the concentration ranges from 1.0 to 1000.0 μM with a detection limit (DL=3×σ/P) of 0.16 μM and a quantification limit of (QL=10×σ/P) of 0.54 μM. The Clay/rGO˧CPE offered high selectivity and a satisfactory concert in the electroanalytical sensing of PNØ in wastewater sample.
Recent Biomedical Applications of Functional Materials Based on Polyhedral Oligomeric Silsesquioxane (POSS)
Authors: Chang Yun‐Kai , Hao Shi‐Jie , Wu Fu‐Gen 
Published: September 2024

AbstractPolyhedral oligomeric silsesquioxane (POSS) is a 3D, cage‐like nanoparticle with an inorganic Si–O–Si core and eight tunable corner functional groups. Its well‐defined structure grants it distinctive physical, chemical, and biological properties and has been widely used for preparing high‐performance materials. Recently, click chemistry has enabled the synthesis of various functional POSS‐based materials for diverse biomedical applications. This article reviews the recent applications of POSS‐based materials in the biomedical field, including cancer treatment, tissue engineering, antibacterial use, and biomedical imaging. Representative examples are discussed in detail. Among the various POSS‐based applications, cancer treatment and tissue engineering are the most important. Finally, this review presents the current limitations of POSS‐based materials and provides guidance for future research.
Ferroelectric Interfaces for Dendrite Prevention in Zinc‐Ion Batteries
Authors: Hu Xueqing , Narayan Bastola , Naresh Nibagani , Pinnock Iman , Zhu Yijia , Liu Xiaopeng , Wang Tianlei , Li Bing , Parkin Ivan P. , Boruah Buddha Deka 
Published: September 2024

AbstractAqueous rechargeable zinc‐ion batteries (ZIBs) are increasingly recognized as promising energy storage systems for mini‐grid and mini‐off‐grid applications due to their advantageous characteristics such as high safety, affordability, and considerable theoretical capacity. However, the long‐term cycling performance of ZIBs is hampered by challenges including the uncontrolled dendrite formation, the passivation, and the occurrence of the hydrogen evolution reaction (HER) on the Zn anode. In this study, enhancing ZIB performance by implementing oxide material coatings on Zn metal, serving as a physical barrier at the electrode‐electrolyte interfaces to mitigate dendrite growth and suppress the HER is concentrated. Specifically, the mechanisms through which the n‐type semiconductor TiO2 coated Zn anode establishes ohmic contact with Zn, and the high‐dielectric BaTiO3 (BTO) coated Zn anode fosters Maxwell‐Wagner polarization with ferroelectric properties, significantly inhibiting dendrite growth and side reactions, thereby resulting in a highly stable Zn anode for efficient aqueous ZIBs is explored. This advanced BTO/Zn electrode demonstrates an extended lifespan of over 700 h compared to bare Zn and TiO2/Zn anodes. Additionally, full‐cell aqueous ZIBs incorporating BTO/Zn//VO2 (B) batteries exhibit superior rate capabilities, high capacity, and sustained cycle life.
Conductive Polymer Hydrogel‐Derived 3D Nanostructures for Energy and Environmental Electrocatalysis
Authors: Lin Siyi , Li Xin , Yuan Dunyi , Liu Yuanting , Jin Zhaoyu , Li Panpan 
Published: September 2024

AbstractRenewable energy and advanced water treatment technologies hold profound significance for driving sustainable development in modern society. Given the environmental friendliness and high efficiency of electrocatalysis processes, great expectations are placed on their applications in energy and water‐related fields. However, the electrocatalysis is limited by the selectivity, activity, and durability of the electrocatalytic reactions. Hydrogels, with their hierarchical porous structure, compositional and structural tunability, and ease of functionalization, are bringing surprising advances in advanced energy and environment. Hydrogel catalysts, inheriting the advantages of hydrogel materials, hold promise for achieving significant breakthroughs in electrochemical performance. Here, the latest advancements in energy and environmental electrocatalytic fields are summarized based on the 3D nanostructured hydrogel catalysts. In addition, future potentials and challenges of continuing research on hydrogel materials for energy and environment are discussed.
Light‐controlled smart materials: Supramolecular regulation and applications
Authors: Liao Zi‐Hao , Wang Feng 
Published: September 2024

AbstractSmart materials serve as the fundamental cornerstone supporting humanity's transition into the intelligent era. Smart materials possess the capability to perceive external stimuli and respond accordingly. Light‐controlled smart materials (LCSMs) are a significant category that can sense and respond to light stimuli. Light, being a non‐invasive, precisely regulated, and remotely controllable source of physical stimulation, makes LCSMs indispensable in certain application scenarios. Recently, the construction of LCSMs using supramolecular strategies has emerged as a significant research focus. Supramolecular assembly, based on non‐covalent bonding, offers dynamic, reversible, and biomimetic properties. By integrating supramolecular systems with photoresponsive molecular building blocks, these materials can achieve synergistic and rich intelligent stimulus responses. This review delves into the latest research advancements in LCSMs based on supramolecular strategies. There are four sections in this review. The first section defines LCSMs and outlines their advantages. The second section discusses the design approaches of supramolecular LCSMs. The third section highlights the latest advancements on supramolecular LCSMs over the past 3 years. The fourth section summarizes the current research and provides insights into the future development of this field.