bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Interaural Latency and Frequency Mismatch on Speech Recognition for Bimodal Cochlear Implant Users
Authors: Dillon Margaret T. , Buss Emily , Richter Margaret E. , Brown Kevin D. 
Published: January 2025

ObjectivesBimodal cochlear implant (CI) users vary in speech recognition outcomes. This variability may be influenced partly by the CI and contralateral hearing aid (HA) programming procedures, which can result in mismatches in latency and frequency. We assessed the performance of bimodal listeners when latency mismatches were corrected and analyzed how frequency mismatches influenced outcomes.MethodsTwelve adults with at least 1 year of bimodal use were evaluated in latency mismatched versus matched conditions. Masked sentence recognition was assessed in a 10‐talker masker for three spatial configurations: target from the front and the masker either co‐located, 90° toward the CI‐ear, or 90° toward the HA‐ear. Frequency mismatch for the most apical electrode (E1) was determined from postoperative imaging and the filter frequency assignment of their familiar CI map.ResultsParticipants had significantly better performance when latency mismatches were small or matched between the devices, with an approximately 10% improvement in the configuration with the masker toward the HA‐ear. Significantly, poorer performance was observed with larger magnitudes of frequency mismatch, with a 2% drop in performance for every one semitone deviation increase in mismatch. The interaction between latency and frequency mismatch was nonsignificant, suggesting that the benefit of latency matching was approximately additive across the range of frequency mismatches.ConclusionsDetrimental effects of interaural mismatches in latency and frequency were observed, even after long‐term device use. These preliminary results suggest that bimodal CI users might benefit from individualized fitting procedures that match latency across devices and minimize frequency mismatch for the CI.Level of Evidence3 Laryngoscope, 2025
Cellular Behaviors of Human Dermal Fibroblasts on Pyrolytically Stripped Carbon Nanofiber's Surface
Authors: Raja Iruthayapandi Selestin , Kang Moon Sung , Kim Jeesu , Kwak Minseok , Han Dong‐Wook 
Published: January 2025

AbstractThere has been limited exploration of carbon nanofiber as a scaffold for cellular attachment and proliferation. In this work, commercially available, pyrolytically stripped carbon nanofiber (cCNF) is deposited over electrospun nanofiber mats, polycaprolactone (PCL) and poly(D‐lactide) (PDLA), to immobilize them and investigate whether the 3D cCNF layer's surface augments cell proliferation of human dermal fibroblasts (nHDF). Spectral characterizations, such as XRD and Raman, show that cCNF exhibited crystalline structure with a high graphitization degree. cCNF layers are modified to have an irregular or planar surface by simple agitation (s‐cCNF) or probe sonication (p‐cCNF) of the solution. The in vitro cell line studies revealed that p‐cCNF is better than s‐cCNF in providing a platform that supports a homogenous spread of the fibroblasts all over the nanofiber's surface. The p‐cCNF‐deposited PCL mat (p‐cCNF@PCL) demonstrated cellular growth, similar to that of the neat PCL mat. However, the p‐cCNF@PCL mat exhibited remarkable antibacterial properties by reducing the E. coli numbers, ≈16 times greater than the PCL mat. It is concluded that the immobilized, pyrolytically stripped carbon nanofiber's surface has the potential to accommodate cellular growth and inhibit bacterial colonies, suggesting the biomaterial scaffold is promising for in vivo and clinical applications of skin tissue regeneration.
Efficient Copolymerization of Methyl Methacrylate and Lactide Using Metalate Catalysts
Authors: Upitak Kanokon , Thomas Christophe M. 
Published: January 2025

AbstractThe development of catalysts that are both robust and highly active at room temperature can often be seen as a major challenge in anionic polymerization. However, these properties are desirable for polymer synthesis because they allow for easy and sustainable production of interesting materials. Here, iron and magnesium complexes are used to form in situ generated metalate complexes that are shown to be highly active in the room temperature copolymerization of methyl methacrylate and lactide. Their ability to form homopolymers and block copolymers of poly(methyl methacrylate) and polylactide shows that they are more stable than their organolithium counterparts and also more active than the neutral complexes from which they are derived.
Effect of machining parameters on the machinability of 15‐5 precipitation hardened stainless steel during dry turning
Authors: Selvaraj D. P. , Dhas D. S. E. J. , George P. 
Published: January 2025

AbstractThis research presents the studies on the effect of machining variables and the empirical modeling of machinability output responses during dry turning of 15–5 precipitation‐hardened stainless steel (PHSS) using the taguchi meta‐heuristic algorithm. L9 orthogonal array (OA) robust experimental design was selected for conducting the dry turning operations. The input variables included cutting velocity, depth of cut, and feed rate, while the output responses measured were surface roughness (Ra) and cutting force (Fc). The influence of these process variables was determined through analysis of variance (ANOVA). ANOVA results revealed that cutting speed, feed rate and depth of cut were impacting the average surface roughness by 36 %, 29 %, and 31 %, respectively and influencing the cutting force by 2 %, 16 %, and 72 %, respectively, during turning operation. Empirical models for predicting cutting force and surface roughness were developed using the Taguchi meta‐heuristic algorithm. The optimization process resulted in a significant reduction in surface roughness, with Ra decreasing by 17 % and a notable decrease in cutting force, Fc, by 8 %. These numerical improvements indicate that the proposed optimization approach substantially enhances machining performance, validating its effectiveness.
Dimethyl fumarate alleviate hepatic ischemia–reperfusion injury through suppressing cGAS‐STING signaling
Authors: Xiong Yi , Chen Jiawen , Li Kun , Liang Wei , Song Jinwen , Qiu Xiusheng , Zhang Baoyu , Qiu Dongbo , Qin Yunfei 
Published: January 2025

AbstractHepatic ischemia–reperfusion (I/R) injury frequently occurs during the perioperative phase of liver surgery. Inappropriate activation of STING signaling can trigger excessive inflammation response to aggravate hepatic I/R injury. Dimethyl fumarate (DMF) is an FDA‐approved immunomodulatory drug used to treat multiple sclerosis and psoriasis due to its notable anti‐inflammation properties. However, the mechanism and targets of DMF in immunomodulation remain unclear. Here, we found that DMF suppresses cGAS‐STING activation induced by HSV‐1, hering testis DNA, and mitochondrial DNA in a variety of cells. DMF significantly reduces hepatic I/R injury and inhibits cGAS‐STING pathway activation in mice. The alleviating effect of DMF on hepatic I/R injury was negligible in STING‐knockout mice. Mechanistically, DMF directly inhibits STING activation via an autophagy‐independent pathway, and the immunocoprecipitation experiment showed that DMF inhibited STING recruitment of downstream TBK1 and IRF3. Our study found that DMF protects liver I/R injury by inhibiting the STING pathway and may be a potential target of this disease.
Rational Approximation by Reproducing Kernel for Bergman Functions on Siegel Domains
Authors: Huang Yun , Zhang Dawei 
Published: January 2025

ABSTRACTBased on recent developments of reproducing kernels in several complex variables, we study the kernel approximation for weighted Bergman functions on Siegel domains. To overcome the difficulties arising in Siegel domains, a new method is proposed in the proof of boundary vanishing property (BVP) at infinity by adopting the biholomorphic invariance property of weighted kernel functions. Once the BVP is verified, optimal parameters are selected and the corresponding orthogonal functions are constructed by induction according to the maximal selection principle.
Thermodynamics Properties of Leucine and Isoleucine Peptides in Water
Authors: Chapagain Samundra , Ojha Shishir , Khanal Shyam Prakash , Adhikari Narayan Prasad 
Published: January 2025

AbstractThermodynamic properties of amino acids explore the ideas about the energetic contribution in biomolecular interfaces. In our work, we have estimated the solvation free energy of leucine and isoleucine peptides with the variation of chain length or residues of different monomer units (n=1, 2, 4, 8 & 16) using molecular dynamic simulation. We modeled our system using OPLS‐AA force field and TIP3P water model at 310 K temperature. Solvation free energy of both leucine and isoleucine peptides increases with increase in chain length, which have been reported by using TI, TI‐CUBIC and BAR methods. The increase in solvation free energy with increase in chain length of both peptides is also supported by the increase in hydrogen bond and solvent accessible surface area (SASA) with the number of residues.
Evidence‐Based Surgical Guidelines for Treating Children With Rhabdomyosarcoma
Authors: Abdelhafeez Abdelhafeez H. , Reljic Tea , Klocksieben Farina , Kumar Ambuj , Cox Sharon , Davidoff Andrew M. , Munanzvi Kudzayi , van Scheltinga C. E. J. (Sheila) Terwisscha , Elgendy Ahmed , Gerstle J. Ted , Qureshi Bilal , Nasir Abdulrasheed , Lautz Timothy B. , Moreno Amabelle A. , Loh Amos , Qureshi Sajid , Vujanić Gordan M. , Lobos Pablo , Mukkada Sheena , Abib Simone 
Published: January 2025

ABSTRACTBackgroundSurgery remains the cornerstone of treatment for rhabdomyosarcoma (RMS) in children. However, there is considerable variation in surgical management practices worldwide, highlighting the need for standardized Clinical Practice Guidelines (CPG).MethodsThe CPG development involved assembling a multidisciplinary group, prioritizing 10 key topic areas, conducting evidence searches, and synthesizing findings. Recommendations were voted on using the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) methodology.RecommendationsThe panel recommended regional lymph node evaluation for patients with paratesticular RMS who are more than 10 years old and extremity RMS. Other suggestions included pretreatment re‐excision for incompletely resected RMS, preoperative radiation therapy for unresectable tumors, maintaining a 0.5 cm resection margin, and tumor bed marking with surgical clips. The panel also suggests resection of residual metastatic disease following chemotherapy, resection of relapsed disease, and the least invasive approach for managing patients presenting with obstruction.ConclusionThis CPG provides evidence‐based surgical management recommendations for RMS that can be adapted to diverse resource settings.
Stability of Second‐Order Discrete Linear Switching Systems: The Case of All Subsystems With Eigenvalue Modulus >1$$ >1 $$ Under State‐Dependent Switching
Authors: Xie Xiaoqing , Zhou Yusheng 
Published: January 2025

ABSTRACTThis article investigates the asymptotic stability of discrete‐time switching systems in which the modulus of all subsystem eigenvalues are greater than one. The study begins by constructing an energy function with practical physical meaning for each discrete‐time subsystem. Specifically, a standard linear discrete system is derived by discretizing a single‐degree‐of‐freedom vibratory model, with its energy function defined as the sum of the model's kinetic and potential energies. An invertible transform is then applied to convert a general linear discrete system into standard form, enabling the construction of a general energy function based on that of a standard one. Since the construction of subsystem energy functions depends on the choice of invertible transform, which is not unique, the resulting energy functions for different subsystems under distinct transforms cannot be directly compared. To address this issue, an intermediate subsystem is introduced to define a relative energy ratio function between two subsystems. Using this relative energy ratio function, a state‐dependent switching rule is developed to maximize energy loss within a switch circuit, thereby achieving rapid asymptotic stability of the discrete switching system. Finally, numerical examples are provided to validate the effectiveness of the proposed method.
On Rainbow Thresholds
Authors: Han Jie , Yuan Xiaofan 
Published: January 2025

ABSTRACTResolving a recent problem of Bell, Frieze, and Marbach, we establish both the threshold result of Frankston–Kahn–Narayanan–Park, and its strengthening by Spiro, in the rainbow setting. This has applications to the thresholds for rainbow structures in random graphs where each edge is given a uniformly random color from a set of given colors.
Metabolic Fingerprint of Dual Body Fluids Deciphers Diabetic Retinopathy
Authors: Wang Yihan , Li Shunxiang , Li Tong , Wu Jiao , Huang Yida , Liu Wanshan , Ding Chunmeng , Huang Lin , Xu Xiaoyu , Wang Yuning , Gu Sai , Liu Kun , Qian Kun , Sun Xiaodong 
Published: January 2025

AbstractDiabetic retinopathy (DR) is a microvascular complication of diabetes, affecting 34.6% of diabetes patients worldwide. Early detection and timely treatment can effectively improve the prognosis of DR. Metabolomic analysis provides a powerful tool for studying pathophysiological processes. Conducting metabolomic analyses on DR‐related biofluids helps identify differential metabolic expressions during disease progression, thereby discovering potential biomarkers to support clinical diagnosis and treatment. Here, an innovative workflow for vitreous liquid analysis is established, and a machine learning‐based DR analysis platform integrating vitreous liquid metabolic fingerprint (VL‐MF) and plasma metabolic fingerprint (P‐MF) derived via nanoparticle enhanced laser desorption/ionization mass spectrometry is developed. Direct VL‐MF and P‐MF are obtained with desirable reproducibility (coefficient of variation, CV <5%) and remarkable speed (3 s per sample), and DR patients are distinguished from healthy controls applying dual biofluid‐MF with an area under the curve (AUC) of 0.957. Moreover, a biomarker candidate panel from vitreous liquid and plasma with an AUC of 0.945 is constructed and the related metabolic pathways are identified by metabolomics pathway analysis (MetPA). This work offers a powerful multi‐biofluid platform that can not only contribute to DR but also provide solid references for other clinical applications.
Nanomedicine in Immunotherapy for Non‐Small Cell Lung Cancer: Applications and Perspectives
Authors: Liao Shuangsi , Li Xiaoling , Lu You , Luo Kui 
Published: January 2025

AbstractNon‐small cell lung cancer (NSCLC) has a strikingly high incidence rate globally. Although immunotherapy brings a great breakthrough in its clinical treatment of NSCLC, significant challenges still need to be overcome. The development of novel multi‐functional nanomedicines in the realm of tumor immunotherapy offers promising opportunities for NSCLC patients, as nanomedicines exhibit significant advantages, including specific targeting of tumor cells, improved drug bioavailability, reduced systemic toxicity, and overcoming of immune resistance. In this review, the core features and current clinical status of strategies for NSCLC immunotherapy including immune checkpoint blockade, antibody–drug conjugates, cell engagers, adoptive cells, and cancer vaccines, are surveyed. Particular emphasis is placed on the recent development of nanomedicines that boost these strategies. Nanomedicine can provide novel perspectives for NSCLC immunotherapy.
Frog‐Derived Neuroregenerative‐Peptide‐Reinforced Bioactive Hydrogels with Injectability, Thermosensitivity, and Enhanced Neurotrophic Function for Repairing Central Nervous Injuries
Authors: Sun Zhengang , Sun Zhenjuan , Du Chenxi , Chen Hongyu , Zhang Xingchao , Liu Yuanyuan , Dong Fang , Ma Xuexiao , Wei Gang , Yue Haiyuan 
Published: January 2025

The clinical treatment of central nervous system (CNS) injuries presents significant challenges due to the inflammatory microenvironment (IME) induced by CNS injury, which inhibits spontaneous neuronal regeneration. Biomimetic biomaterial‐based IMEs for CNS repair, which facilitate the reconstruction of neural regeneration circuits, show promise. In this study, the development of novel bioactive peptide nanofibers (PNFs)/chitosan (CS)/VD11 (VDELWPPWLPC) hydrogels (named as PCV) is reported, created by reinforcing composite PNFs/CS with a frog‐derived neuroregenerative peptide (VD11). The created hydrogels exhibit a 3D porous structure, high thermosensitivity, good injectability, and enhanced neurotrophic properties, making them promising candidates for CNS repair. The in vitro tests indicate that PCV hydrogels can promote the proliferation, migration, and differentiation of stem cells into neurons, as well as guide axonal growth. Additionally, they help mitigate inflammatory responses by reducing macrophage activation and astrocyte proliferation, while promoting neovascularization. The in vivo animal experimentsdemonstrate that PCV hydrogels enhance blood supply to the damaged area and promote the migration and colonization of endogenous neural stem cells to support axonal growth. Furthermore, PCV hydrogels reduce immune responses and limit excessive astrocyte proliferation, significantly improving motor function recovery in rats with spinal cord injuries. In these findings, it is suggested that these hydrogels can provide a promising strategy for treating CNS injuries by regulating IME.
Operational Pitch Actuation Dynamics for Offshore Wind Turbines Ranging from 5 to 50 MW
Authors: Jeong Michael , Loth Eric , Qin Chris , Phadnis Mandar , Pusch Manuel , Pao Lucy 
Published: January 2025

ABSTRACTModern wind turbines have been continuously growing in size due to the increased power generation and reduced costs associated with larger rotors and more abundant wind resources offshore. In order to effectively implement pitch control on blades that are longer, more flexible, and heavier than ever before, modern electric pitch systems must provide enough torque to overcome blade pitch inertia and loads while providing suitable control response frequencies. Despite this need, there is limited published research on the sizing of such pitch systems at extreme scales. This study models peak pitching power and pitch actuator torque requirements in Regions 2 and 3 turbulent wind conditions. The developed model considers blade pitch response, pitching moments, pitch system dynamics, and blade aeroelasticity. The model is applied using an integrated wind turbine code used to simulate the turbine response of a 25‐MW offshore reference turbine with advanced pitch control under standardized turbulent wind conditions. The results show that the fastest pitch response requirements occur in Region 3 wind speeds just above the rated wind speed and that the peak pitch actuator torque requirements are correlated with maximum pitching moments. The model is extended to turbines ranging from 5 to 50 MW to develop a simplified scaling power law based on only the product of blade mass and mean chord length. This scaling law predicts maximum pitch actuator torque and maximum power consumed from pitch actuation based on results from computational simulations of multiple extreme‐scale reference turbines. This study provides useful insights for the design and sizing of pitch systems in large‐scale wind turbines.
Managing Service Toward Better Customer Experiences: Digitalization, Service Infusion, and Service Innovation
Authors: Witell Lars , Camen Carolina , Shams Poja 
Published: January 2025

Abstract
Our modern society has created a new service landscape, where new service innovations that are built on digitalization and service infusion are introduced to create better customer experiences. This chapter introduces a service management model which is how service firms can navigate in the new service landscape. Service management is the core and serves as an integral part of a dynamic ecosystem, emphasizing the importance of creating, proposing, and capturing value for. It addresses the challenges of service innovation, service infusion, and digitalization that service firms can use to create better customer experiences. The chapter provides an overview of all contributions drawing on experiences from thought leaders at industrial firms and the Service Research Center (CTF) at Karlstad University in Sweden.
Balancing Value Propositions with Privacy: Exploring Data-Driven Digital Wellness Business Models
Authors: Samuelsson Peter , Larson Mia , Davoudi Sara 
Published: January 2025

Abstract
This chapter investigates the role of user data in creating value propositions within digital wellness business models and the implications for consumer privacy. We examine user agreements of seven such platforms/apps, exploring how consumer data are utilized to enhance customer experiences and generate profits, while addressing privacy concerns. The main findings reveal six value propositions derived from user data, which are further problematized in the discussion. By combining consumer data and privacy research with a business model perspective, this chapter provides insights for managers seeking to navigate the complexities of data-driven digital business models while respecting consumer privacy and integrity.
A study on porosity and mechanical properties of the open aluminum metal foam through spark plasma sintering SDP technique
Authors: Mahto Raju Prasad , Bhadauria Alok , Bandhu Din , Karmkar Souvik 
Published: January 2025

Abstract
Aluminum metal foam, distinguished by its lightweight nature, exceptional strength-to-weight ratio, and distinctive cellular structure, has emerged as a highly promising material with extensive applications across diverse industries. Various fabrication techniques, including the sintering and dissolution process (SDP) and powder metallurgy, have been explored to produce metal foams. However, challenges persist in achieving uniform pore sizes and distributions, especially at temperatures surpassing the base material’s melting point. To overcome this hurdle, simultaneous loading and heating during fabrication have been proposed, with spark plasma sintering (SPS) emerging as a viable solution. This study delves into the manufacturing of aluminum metal foam utilizing NaCl space holders via SPS, investigating variations in space holder volume to analyze pore morphology and porosity. Additionally, the mechanical properties of the resulting foams are examined, providing valuable insights into the potential of SPS for crafting aluminum metal open foams with tailored properties. Porosity analysis, conducted through X-ray micro CT, reveals porosity ranging from 55 to 70% in metal foams with NaCl space holder volume fractions of 60 to 80%. Notably, a maximum energy absorption capacity of 23 MJ/mm3 is achieved in a metal foam with 57% porosity. S1 (40% NaCl) had lower porosity, smaller pore sizes, and thicker pore walls, buckling in the middle with minimal pore collapsibility and crack initiation at the edges. In contrast, the sample with more than 40% NaCl had higher porosity and thinner pore walls, resulting in greater collapse and energy absorption.