bluuebunny/crossref_metadata_2025_split huggingface dataset:
Enhancing the stability of tocotrienol nanoemulsion developed using ultrasonic treatment with amphiphilic starch nanoparticles serving as the matrix
Authors: Gautam Gitanjali , Mahanta Charu Lata 
Published: January 2025

AbstractBackgroundOctenylsuccinic anhydride (OSA) is one of the efficient compounds used in food industries as an emulsifier. The current study describes the augmentation of tocotrienol (T3) bioavailability by combining it with OSA and then converting it into a nanoemulsion. The creation of the nanoemulsions ASG‐T3U10, ASG‐T3U20 and ASG‐T3U30 involved ultrasonication power at 300 W for 10, 20 and 30 cycles, respectively.ResultThe nanoemulsion particle sizes of ASG‐T3U30, ASG‐T3U20 and ASG‐T3U10 ranged from 100 to 200, 200 to 300 and >300 nm (P < 0.05), respectively. ASG‐T3U30 exhibited enhanced encapsulation efficiency and potential stability in a simulated gastrointestinal environment. A range of models such as zero order, Higuchi, Korsmeyer–Peppas, Peppas–Sahlin and Gompertz were utilized for the study of release kinetics. The models were found to be a good fit (R2 > 0.90) for the release of T3 in the gastrointestinal environment from an amphiphilic starch matrix. Storage stability tests showed that the emulsions were stable for 21 days of storage at 4 °C, but after 14 days, samples with particle diameters greater than 200 nm displayed the onset of Ostwald ripening.ConclusionThe study showed that the stability of the nanoemulsion was effectively enhanced through increased ultrasonication cycles. © 2025 Society of Chemical Industry.
Microstructure and Electrochemical Corrosion Behavior of Vacuum‐Cladded FeNiCoCrMoBSi High‐Entropy Alloy Coating
Authors: Xie Fang , Zhai Changsheng , Zhang Xi , Jiang Sainan , Zhang Xin , Zheng Hongxing , Hua Xijin 
Published: January 2025

ABSTRACTThe microstructure and electrochemical corrosion performance of vacuum cladding FeNiCoCrMoBSi HEA coatings were investigated. The results show that the coating forms an FCC+σ eutectic structure. The FCC matrix phase has an abalone crystal structure. The diffraction angle of the FCC crystal plane (111) is positively correlated with the remelting temperature, while its diffraction peak intensity and grain size are inversely correlated. Unlike the coatings obtained at remelting temperatures of 1150°C and 1230°C, where the σ phase is a Mo poor phase, the coating obtained at the remelting temperature of 1190°C has a Mo‐rich phase. The coating has the lowest self‐corrosion current density (3.31 μA/cm2), the highest self‐corrosion potential (−0.3797 V), the highest polarization impedance (69 616 Ω), and impedance modulus (23 205.68 W cm2). Its impedance modulus is 2.89 times and 2.04 times higher than those of the coatings remelted at 1150°C and 1230°C, respectively, demonstrating excellent electrochemical corrosion resistance. This can be attributed to the comprehensive effect of various factors, such as FCC+σ dual phases, dense coating structure, and excellent passivation film.
Economics of Content Aggregation: Pricing and Advertising Competition in a Multi‐Channel Structure
Authors: Jakhu Gaurav , Jain Tarun 
Published: January 2025

ABSTRACTMotivated by the emergence of online content aggregators such as Google News, as a prominent source of web traffic for content publishers, this paper examines the impact of introducing a content aggregator platform on market equilibrium and welfare under two different content publishers' business models: free content with advertisements and subscription‐based content with advertisements. A crucial feature of our framework is competition between content publishers and aggregator platforms in the advertising market. Using a game‐theoretic model, our analysis yields interesting insights. First, we find that platform introduction is Pareto optimal when publishers charge subscription prices to the users. However, when content is free, publishers' profits strictly decrease, while both users and advertisers benefit. This finding contrasts with the general regulatory presumption that content aggregators make publishers worse off. Next, in the presence of an aggregator platform, we find that publishers display fewer advertisements under the subscription‐based model for weak content differentiation and sufficiently large platform quality or strong content differentiation. Finally, we provide implications for social welfare.
Black Children's Perceptions of Parental Support and Parenting Practices: 6‐Month Weight Loss and Retention in a Pediatric Weight Management Program
Authors: Cuthbertson Caleb L. , Pratt Keeley J. , Eneli Ihuoma 
Published: January 2025

ABSTRACTObjectiveBlack families are less likely to continue in pediatric weight management programs (PWMPs) and have less optimal outcomes. Few studies have examined how parenting practices and perceived support influence Black children's retention and weight loss in PWMPs.MethodTo fill this gap, this study sampled Black children and their parent (N = 49) who were participating in a Midwest PWMP to explore how children's reports of parental support and parenting practices at program initiation associate with early weight loss 3‐ and 6‐month and retention at 6‐month in the PWMP.ResultsThere were no significant findings for the association of children's reports of parenting practices and their perceptions of parents' support for making health changes in the PWMP. However, the findings were in the anticipated direction, with effect sizes ranging from −0.92 to 0.42. Children who reported that their parent was supportive of their behavior change had less weight loss (i.e., increases in BMIz) from baseline to 3 months than those who perceived their parent’s as unsupportive or neither supportive or unsupportive (p = 0.004). There were no significant correlations between BMIz change at 3 or 6 months and reports of parenting practices.ConclusionAdditional research and with a larger sample are needed to further understand how parenting practices and support are associated with healthy behavior changes and retention of Black children and families in PWMPs.
Prenatal Diagnosis of Caroli's Disease by Ultrasound and MRI Imaging
Authors: Wei Ying‐Li , Cao Jian‐Fa , Xing Cheng , Shang Ning , Ding Hong‐Ke , Zhang Li‐Ming , Li Xiao‐Bin , Liu Xiang‐Jiao , Wang Li‐Min , Yang Chao‐Xiang 
Published: January 2025

ABSTRACTObjectiveTo present the imaging features of Caroli's disease (CD) on prenatal ultrasound and magnetic resonance imaging (MRI).MethodsThis was a retrospective case series of prenatally diagnosed CD between 2017 and 2024. Clinical data from these cases were collected and reviewed.ResultsFive fetuses with CD were included, three of which had a definite combination of ARPKD and suspected in the other 2. Prenatal ultrasonography revealed multiple intrahepatic bile duct dilatations in four fetuses, each of which displayed the “horn comb” sign in a cross‐section of the liver. All five fetuses had abnormal kidney ultrasounds: three showed enlarged and hyperechogenic kidneys and two showed hyperechogenic kidneys. The MRI scans of all fetuses showed a “central dot” (C‐DOT) sign in the liver. By MRI, three fetuses had enlarged kidneys, one slightly had hyperintensity kidneys, and one had no significant kidney abnormalities. Pregnancy termination was chosen in all cases.ConclusionsCD may be identified by fetal ultrasound through the characteristic arrangement of intrahepatic dilated bile ducts (“horn comb” sign). Fetal MRI is advantageous for detecting the C‐DOT sign, which confirms the diagnosis of CD. In our experience, these findings tend to become apparent in the late second to early third trimester of pregnancy.
Efficacy of peripheral nerve stimulation in refractory postamputation pain: A narrative review
Authors: Vu Peter D. , Ekechukwu Diana , Enaohwo Ovie , Nguyen Catherine , Vu Dominic , Nguyen Michael V. 
Published: January 2025

AbstractThe management of postamputation pain remains a significant clinical challenge, with existing therapeutic approaches often yielding inconsistent outcomes. Neuromodulation techniques, particularly peripheral nerve stimulation (PNS), have emerged as promising interventions. However, the evidence supporting their effectiveness in treating phantom limb pain (PLP) and residual limb pain (RLP) remains limited. This narrative review consolidates previous findings of PNS as a postamputation agent and amasses the most recent data on its effectiveness in clinical settings. A literature review was conducted using MEDLINE via PubMed, EMBASE, and Cochrane Library, yielding 115 references. After removing duplicates and applying inclusion criteria, three studies were included. The studies reviewed demonstrate that PNS can offer varying degrees of sustained pain relief, mood enhancement, reduction in opioid use, and functional improvement. However, discrepancies in study design, patient demographics, devices used, and methodological approaches significantly limit the generalizability and reliability of these findings. Currently, the evidence supporting PNS for the treatment of RLP and PLP is limited, with minimal data affirming its efficacy in alleviating postamputation pain and related symptoms. More studies, especially larger, well‐designed comparative and observational studies are needed to extrapolate these conclusions for PNS and postamputation pain.
Enhanced Degradation of Vinyl Copolymers Based on Lipoic Acid
Authors: Okayama Yoichi , Morris Parker , Albanese Kaitlin , Olsen Sarah , Mori Atsunori , de Alaniz Javier Read , Bates Christopher M. , Hawker Craig J. 
Published: January 2025

ABSTRACTThe introduction of degradable units into the backbone of commodity vinyl polymers represents a major opportunity to address the societal challenge of plastic waste and polymer recycling. Previously, we reported the facile copolymerization of α‐lipoic acid derivatives containing 1,2‐dithiolane rings with vinyl monomers leading to the incorporation of degradable S–S disulfide bonds along the backbone at relatively high dithiolane monomer feed ratios. To further enhance the recyclability of these systems, here we describe a facile and user‐friendly strategy for backbone degradation at significantly lower dithiolane loading levels through cleavage of both SS and SC backbone units. Copolymers of n‐butyl acrylate (nBA) or styrene (St) with small amounts of either α‐lipoic acid (LA) or ethyl lipoate (ELp) dissolved in DMF were observed to undergo efficient degradation when heated at 100°C under air. For example, at only 5 mol% ELp, a high molecular weight poly(ELp‐co‐nBA) (Mn = 62 kg mol−1) degraded to low molecular weight oligomers (Mn = 3.2 kg mol−1) by simple heating in DMF. In contrast, extended heating of either poly(nBA) or poly(St) homopolymers under the same conditions did not lead to any change in molecular weight or cleavage of the C–C backbone. This novel approach allows for the effective degradation of vinyl‐based polymers with negligible impact on properties and performance due to the low levels of dithiolane incorporation.
A persistent bacterial Regiella transinfection in the bird cherry‐oat aphid Rhopalosiphum padi increasing host fitness and decreasing plant virus transmission
Authors: Yu Wenjuan , Yang Qiong , Gill Alex , Chirgwin Evatt , Gu Xinyue , Joglekar Chinmayee , Umina Paul A. , Hoffmann Ary A. 
Published: January 2025

AbstractBACKGROUNDThe bird cherry‐oat aphid, Rhopalosiphum padi, is a major pest of agriculture due to its ability to directly damage crops and transmit plant viruses. As industries move away from chemical pest control, there is interest in exploring new options to suppress the impact of this pest.RESULTSWe describe the production of a transinfected line of R. padi carrying the bacterial endosymbiont, Regiella insecticola, originating from the green peach aphid, Myzus persicae. We show that Regiella increases the fitness of its novel host despite decreasing fitness in its native host. Regiella also shows a low level of horizontal transmission. Importantly the infection suppresses the ability of R. padi to transmit the barley yellow dwarf virus which damages wheat plants.CONCLUSIONOur results suggest this Regiella transinfection could be released to suppress virus transmission by aphids with its ability to persist and spread in situations where damage from the virus exceeds that from direct feeding by the aphid. © 2025 Society of Chemical Industry.
Robust Estimation‐Based Non‐Fragile Control for Discrete‐Time Non‐Linear Systems
Authors: Javanfar Elham , Rahmani Mehdi , Kamalul Wafi Moh 
Published: January 2025

ABSTRACTIn this paper, a novel robust estimation‐based non‐fragile controller is designed for a specific class of discrete‐time, time‐varying, non‐linear systems whose non‐linear term satisfies the incremental quadratic inequality, which is parameterized by a set of multiplier matrices and sector‐bounded conditions. The system is subject to unknown external input with fluctuating controller gain. The proposed approach introduces an improved standard linear filter structure, including non‐linear terms and a modified state feedback controller. The stability of the closed‐loop system is guaranteed in the framework of linear matrix inequalities (LMIs), and the state estimator and controller gains are determined simultaneously such that the boundedness of the control input is ensured. Moreover, an LMI‐based optimization problem is presented to obtain the closed‐loop system's maximum domain of attraction (DOA). The benchmark system of RTAC is employed to verify the performance of the proposed control approach.
Institutional Quality and Sustainable Firm Growth: Evidence From North African Countries
Authors: Abozeid Hady O. , Elamer Ahmed A. , Attia Eman F. 
Published: January 2025

ABSTRACTThis study investigates the relationship between institutional quality (IQ) and sustainable firm growth (SFG) in North African countries, focusing on Egypt, Morocco, and Tunisia. Utilizing panel data from 155 non‐financial firms over the period 2007–2020, we employ a system generalized method of moments (GMM) approach to analyze this relationship. Our findings reveal a significant U‐shaped relationship between IQ and SFG, indicating that both very low and very high levels of IQ are associated with limited firm growth, while an optimal level of IQ promotes substantial growth. This suggests that firms in low‐IQ environments struggle due to weak regulatory frameworks and corruption, whereas those in high‐IQ environments benefit from better governance and transparency, leading to enhanced growth. The study makes several contributions by providing empirical evidence from an underexplored region, highlighting the complex dynamics between institutional quality and firm growth, and offering robust methodological insights. Policy implications underscore the need for balanced regulation and long‐term investment in institutional quality, education, and infrastructure.
Continuous Strain Modulation of Moiré Superlattice Symmetry From Triangle to Rectangle
Authors: Ou Hao , Oi Koshi , Usami Rei , Endo Takahiko , Shinokita Keisuke , Kitaura Ryo , Matsuda Kazunari , Miyata Yasumitsu , Pu Jiang , Takenobu Taishi 
Published: January 2025

AbstractMoiré superlattices formed in van der Waals (vdW) bilayers of 2D materials provide an ideal platform for studying previously undescribed physics, including correlated electronic states and moiré excitons, owing to the wide‐range tunability of their lattice constants. However, their crystal symmetry is fixed by the monolayer structure, and the lack of a straightforward technique for modulating the symmetry of moiré superlattices has impeded progress in this field. Herein, a simple, room‐temperature, ambient method for controlling superlattice symmetry is reported. The method uses vdW heterostructures on a flexible substrate; by bending the substrate, a uniaxial strain is introduced. Based on numerical calculations, a strain condition is designed to deform the moiré superlattice from triangular to rectangular, and visualized the continuous deformation of real‐space moiré superlattices using piezoresponse force microscopy. The band calculations show that nearly flat moiré minibands remain in the rectangular lattice; therefore, this method provides an additional tuning knob for the Hamiltonian of moiré quantum matter.
Local Structure Regulation for Oxygen Redox and Structure Stability of P2‐Type Cathodes
Authors: Wang Dongxiao , Zou Feihu , Qi Xingguo , Xu Shuyin , Mao Huican , Xiao Dongdong , Lu Shigang , Guo Bingkun , Lyu Yingchun 
Published: January 2025

AbstractThe local structure plays a crucial role in oxygen redox reactions, which boosts the capacity of layered oxide cathodes for sodium‐ion batteries. While studies on local structural ordering have primarily focused on the intra‐layer ordering, there has been limited research on the inter‐layer stacking for the layered cathode materials for sodium‐ion batteries. In this work, the impact of the intra‐layer and inter‐layer local structural regulation on anionic kinetics and the structure stability are explored through experimental analysis and theoretical calculations. Cu2+ substitution is introduced to adjust the transition metal inter‐layer structure of P2‐Na0.67Mg0.28Mn0.72O2, obtaining a zig‐zag stacked honeycomb superlattice structure in P2‐ Na0.67Cu0.14Mg0.14Mn0.72O2. The local structure regulation mitigates the cation migration, improves the structure reversibility even at a deeply desodiation state of Na0.05, and the reductive coupling between cationic and anionic redox processes facilitates electron transfer from oxygen to copper ions and governs the properties of electrochemical kinetics and hysteresis. A full cell with hard carbon anode shows commendable energy density at high power density. This study paves an optional path for enhancing the structure stability and dynamics of oxygen redox chemistry in P2‐type cathode materials for sodium‐ion battery systems.
Boosting the Learning Process for IoT Data Utilization in Business Value
Authors: Kinnunen Sini-Kaisu , Metso Lasse , Kärri Timo 
Published: January 2025

Abstract
Companies need new types of professionals who can benefit from the Internet of Things (IoT). This shortage of skilled workforce hinders the exploitation of advanced technologies and data utilization. Thus, research is needed to learn the core IoT skills in the time of Industry 5.0. Artificial intelligence (AI) can be seen as a part of the IoT process, where IoT improves data utilization and AI can be used to add intelligence into IoT solutions and automatize decision-making. This research studies the learning process for IoT data utilization, to improve the student’s knowledge and skills to utilize analytical IoT solutions for real decision-making needs related to business processes. In this study, the research method is conceptual research where previous literature and concepts are analyzed and a systematic process description is developed. As the result of this study, a systematic process description was created to improve the IoT skills of students to benefit from IoT data utilization in creating business value. The systematic process description is then tested with 19 cases, i.e., the group works. The group works deal with the theoretical framework and practical IoT solution for a certain decision-making need. The presented systematic learning process description responds to the need for companies to employ professionals with new skills to reap the benefits of advanced technologies and data utilization.
Industrial Transformation via AI and Autonomous Systems: Evidence from a State-of-the-Art Survey
Authors: Treves Luke , Ritala Paavo , Aaltonen Päivi 
Published: January 2025

Abstract
The evolution of Artificial Intelligence (AI) and autonomous systems driven by technological advancements and abundant data access is reshaping industries from mining to transportation, despite the potential of adopting such technologies, organizations encounter major hurdles in realizing their full benefits. Financial constraints, cultural resistance, skill gaps, and ethical concerns, among other challenges, limit their widespread adoption and integration. Furthermore, while AI-enhanced automation shows promise in improving organizational efficiency, decision-making, and adaptability, its implementation often remains confined to specific operational segments. To better understand the adoption, benefits, and challenges of emerging AI and autonomous technologies in industrial settings, this chapter provides a state-of-the-art overview of a cross-industrial survey conducted with companies headquartered in Finland with responses from 207 organizations. Varied in size, turnover, and hierarchy, these organizations offer a holistic view of the current landscape in this rapidly evolving field. All in all, this chapter provides a contemporary view of AI and autonomous system adoption in different industries and provides both operational and strategic insights into different aspects of their organizational use.
Managing Strategic Flexibility in Industry 5.0 Transition: An Integrated Real Options and Strategic Foresight Approach
Authors: Savolainen Jyrki , Knudsen Mikkel Stein 
Published: January 2025

Abstract
This chapter deals with the corporate investment decision-making strategies amid the transformative landscape of Industry 5.0 and system-level Digital Twins Twinning. Through the lens of Strategic Foresight (SF) and Real Options (RO), the chapter both identifies a methodological gap in the literature regarding the integration of ROs and SF and underscores the potential synergy between these two fields. It is suggested that ROs can adeptly address numerical uncertainties in resource exploitation business cases, while SF serves as a valuable qualitative exploration tool under structural or radical uncertainty. A high-level, integrated decision framework is drafted, and its applicability is discussed within the Industry 5.0 context of system-level Digital Twins.
A New Design and VLSI Implementation of Symmetric Daubechies Wavelet Filter Bank for Image Processing Applications
Authors: Samantaray Aswini K. , Rahulkar Amol D. , Sahoo Satyajeet , Gorre Pradeep 
Published: January 2025

Abstract
Due to the irrational coefficients, the orthogonal wavelet filter banks (FBs) need a lot of resources when implemented on hardware. As a result, there is a decrease in operating speed, a significant memory requirement, and an increase in power consumption. This paper proposes an orthogonal low complex symmetric Daubechies-2 (4-tap) wavelet filter bank (FB) to address these problems. This is accomplished by obtaining dyadic filter coefficients and making the suggested FB symmetric by marginally modifying the perfect reconstruction (PR) criterion. By using fewer adders and shifters, the suggested wavelet FB achieves a significant reduction in dynamic power consumption without the need for multipliers. This is confirmed by implementing the suggested wavelet FB on the Zedboard ZYNQ-7000 AP-SoC (Zynq FPGA from Xilinx) field programmable gate array (FPGA). The suitability of the suggested FB is tested in medical image retrieval and image compression applications. Results from simulations demonstrate that, when compared to state-of-the-art techniques, the suggested wavelet FB performs better in terms of retrieval accuracy (ARP, ARR) for medical image retrieval and PSNR for image compression on the benchmark image datasets.