Related Products Research Articles

Multifaceted Materials for Enhanced Osteogenesis and Antimicrobial Properties on Bioplastic Polyetheretherketone Surfaces: A Review.

Implant-associated infections and the increasing number of bone implants loosening and falling off after implantation have become urgent global challenges, hence the need for intelligent alternative solutions to combat implant loosening and falling off. The application of polyetheretherketone (PEEK) in biomedical and medical therapy has aroused great interest, especially because its elastic modulus close to bone provides an effective alternative to titanium implants, thereby preventing the possibility of bone implants loosening and falling off due to the mismatch of elastic modulus. In this Review, we provide a comprehensive overview of recent advances in surface modifications to prevent bone binding deficiency and bacterial infection after implantation of bone implants, starting with inorganics for surface modification, followed by organics that can effectively promote bone integration and antimicrobial action. In addition, surface modifications derived from cells and related products of biological activity have been proposed, and there is increasing evidence of clinical potential. Finally, the advantages and future challenges of surface strategies against medical associated poor osseointegration and infection are discussed, with promising prospects for developing novel osseointegration and antimicrobial PEEK materials.

Acid-catalyzed phenolation of lignin with tea polyphenol: Enhancing uv resistance and oxidation resistance for potential applications

The rapid development of the industry has led to the destruction of the earth's ozone layer, resulting in an increasingly serious problem of excessive ultraviolet radiation. Exploring effective measures to address these problems has become a hot topic. Lignin shows promise in the design and preparation of anti-ultraviolet products due to its inherent properties. However, it is important to investigate way to enhance the reactivity of lignin and determine its application form in related products. In this study, phenolic reactions with tea polyphenols were conducted through acid-catalyzed conversion, utilizing organic solvent lignin as the primary material. The phenolic hydroxyl content of the original lignin increased significantly by 218.8 %, resulting in notable improvements in UV resistance and oxidation resistance for phenolic lignin. Additionally, micro-nanocapsule emulsions were formed using phenolic lignin particles as surfactants through ultrasonic cavitation with small-molecule sunscreens. A bio-based sunscreen was prepared with phenolated lignin micro-nanocapsules as the active ingredient, achieving an SPF 100.2 and demonstrating excellent stability. The sunscreen also exhibited strong antioxidant properties and impermeability, ensuring user safety. This research offers a current solution for improving the application of lignin in sunscreens while also broadening the potential uses of plant-based materials in advanced functional products.

Exploring the synergistic effects of indole acetic acid (IAA) and compost in the phytostabilization of nickel (Ni) in cauliflower rhizosphere

Heavy metals (HMs) contamination, owing to their potential links to various chronic diseases, poses a global threat to agriculture, environment, and human health. Nickel (Ni) is an essential element however, at higher concentration, it is highly phytotoxic, and affects major plant functions. Beneficial roles of plant growth regulators (PGRs) and organic amendments in mitigating the adverse impacts of HM on plant growth has gained the attention of scientific community worldwide. Here, we performed a greenhouse study to investigate the effect of indole-3-acetic acid (IAA @ 10− 5 M) and compost (1% w/w) individually and in combination in sustaining cauliflower growth and yield under Ni stress. In our results, combined application proved significantly better than individual applications in alleviating the adverse effects of Ni on cauliflower as it increased various plant attributes such as plant height (49%), root length (76%), curd height and diameter (68 and 134%), leaf area (75%), transpiration rate (36%), stomatal conductance (104%), water use efficiency (143%), flavonoid and phenolic contents (212 and 133%), soluble sugars and protein contents (202 and 199%), SPAD value (78%), chlorophyll ‘a and b’ (219 and 208%), carotenoid (335%), and NPK uptake (191, 79 and 92%) as compared to the control. Co-application of IAA and compost reduced Ni-induced electrolyte leakage (64%) and improved the antioxidant activities, including APX (55%), CAT (30%), SOD (43%), POD (55%), while reducing MDA and H2O2 contents (77 and 52%) compared to the control. The combined application also reduced Ni uptake in roots, shoots, and curd by 51, 78 and 72% respectively along with an increased relative production index (78%) as compared to the control. Hence, synergistic application of IAA and compost can mitigate Ni induced adverse impacts on cauliflower growth by immobilizing it in the soil.

Changes in properties of myofibrillar protein and myofibrillar protein gel from freshwater fish after low-temperature and high-pressure collaborative treatment

This study investigated the effects of low-temperature and high-pressure collaborative and conventional air freezing (CAF) on myofibrillar protein (MP) characteristics from grass carp. Turbidity, solubility, and particle size analysis showed that the pressure shift freezing (PSF) treatment could inhibit the formation of large MP aggregates to a certain extent during freezing. Chemical interaction studies unveiled that PSF treatment not only mitigates damage to the inherent structure of MP during freezing but also enhances its crosslinking ability. Microstructure analysis revealed a densely woven fibrous protein network structure within the MP gel in the PSF group. MP gel with fiber shape network structure in the PSF group exhibited stronger water-holding capacity and mechanical properties compared to the CAF group having an incomplete protein network structure. This suggests that the combined application of low-temperature and high-pressure treatment holds promising potential for utilization in the surimi gel processing industry and aquatic products processing.Industrial relevance: The quality and safety of food are closely related to the commodity value of food. Combined low-temperature and high-pressure treatment can enhance the commodity value of low-value freshwater fish products and has potential in surimi gel new product development. This study provides theoretical guidance for high-pressure and low-temperature collaborative processing and industrial production of related aquatic products.

Machine learning models in health prevention and promotion and labor productivity: A co-word analysis

Objective: The objective of this article is to carry out a co-word study on the application of machine learning models in health prevention and promotion, and its effect on labor productivity. Methodology: The analysis of the relevant literature on the proposed topic, identified in the last 15 years in Scopus, is considered. Articles, books, book chapters, editorials, conference papers and reviews refereed publications were considered. A thematic mapping analysis was performed using factor analysis and strategy diagrams to derive primary research approaches and identify frequent themes as well as thematic evolution. Results: The results of this study show the selection of 87 relevant publications with an average annual growth rate of 23.25% in related production. The main machine learning algorithms used, the main research approaches and key authors, derived from the analysis of thematic maps, were identified. Conclusions: This study emphasizes the importance of using co-word analysis to understand trends in research on the impact of health prevention and promotion on labor productivity. The potential benefits of using machine learning models to address this issue are highlighted and anticipated to guide future research focused on improvements in labor productivity through prevention and promotion of health. Originality: The identification of the relationship between work productivity and health prevention and promotion through machine learning models is a relevant topic but little analyzed in recent literature. The analysis of co-words allows us to establish the reference point of the state of the art in this regard and future trends.

Automation and value-chain embedment: evidence from Chinese manufacturing firms

ABSTRACT This study aims to explore how the digital technology revolution, brought about by industrial robots, affects the integration of Chinese firms into the global value chain. Utilizing a high-dimensional fixed-effects model, we examine matched data from the database of Chinese industrial firms and customs from 2006 to 2015. We reveal the positive impact of automation on the export domestic value-added of Chinese manufacturing firms, indicating that automation promotes the embedding of firms into the global value chain. Event study methodology finds that the unexpected increase in automation in 2009 significantly boosted firm participation in the value-chain division of labour. The role of automation in driving value-chain embedding is associated with improvements in productivity levels and reductions in relative labour production costs. This impact varies noticeably across different industries, regions, technological levels, and types of value chains, with labour-intensive industries being the most affected. Moreover, we find that automation is driving more Chinese firms to enter and continually integrate into the global value chain, although the current level of industrial automation in China has not yet reached its optimal level.

Trading oxygen for iron. I. The [O/Fe]-specific star formation rate relation of galaxies

Our current knowledge of the star-forming metallicity of galaxies relies primarily on gas-phase oxygen abundance measurements. However, these do not always allow an accurate description of differences in stellar evolution and feedback, which are driven by variations in iron abundance. alpha -elements (such as oxygen) and iron are produced by sources that operate on different timescales and the link between them is not straightforward. We explore the origin of the O/Fe --specific SFR (sSFR) relation, linking chemical abundances to galaxy formation timescales. This relation is adhered to by star-forming galaxies across redshifts according to cosmological simulations and basic theoretical expectations. Its apparent universality makes it suitable for trading the readily available oxygen for iron abundance. We show that the relation is determined by the relative iron production efficiency of core-collapse and type Ia supernovae and the delay-time distribution of the latter ---uncertain factors that could be constrained empirically with the O/Fe ---sSFR relation. We compile and homogenise a literature sample of star-forming galaxies with observational iron abundance determinations to place first constraints on the O/Fe --sSFR relation over a wide range of sSFR. The relation shows a clear evolution towards lower O/Fe with decreasing sSFR and a flattening above log$_ $(sSFR/yr)>-9. These results are broadly consistent with expectations, but better constraints are needed to inform the models. We independently derive the relation from old Milky Way stars and find remarkable agreement between the two, as long as the recombination-line absolute oxygen abundance scale is used in conjunction with stellar metallicity measurements.

Writing in L2 Greek: Exploring the effect of L2 proficiency and learning context on complexity, accuracy, and fluency

Complexity, accuracy, and fluency (CAF) have been proposed as measures of L2 performance and are fundamental variables of written analysis. Empirical studies have shown how written production is developed across proficiency levels and have highlighted the impact of language learning context (second versus foreign) on such development. Despite research that analyzes L2 written production in relation to L2 proficiency or L2 context, few studies examine both in combination. This study explores the role of proficiency and learning context in the written production of L2 Modern Greek learners. Three hundred twenty-four (N = 324) L2 Modern Greek learners of different proficiency levels (A2 to C1) studying in two different learning contexts (second: Greece versus foreign: Spain) carried out a written task (opinion essay). The results showed that two indices of the length of production (mean length of sentence and clause), one index of subordination (dependent clauses per clause), accuracy, and fluency were good indicators of proficiency level. Also, learning context affected the length of production, sentence complexity, and subordination. While differences were observed between the two settings, no superiority of one context over the other was found. Significant interaction effects between context and proficiency were detected in syntactic complexity (coordination) and fluency.

The Role of Strategic Management in the Procurement Process

The modern era is characterized by a rapid pace of change. Therefore, it is important for all types of organizations not only to respond to changes, but also to anticipate them. At this time, strategic management acts as the main tool, which involves the development and implementation of plans that help the organization achieve its desired goals and objectives. This process includes both strategy formulation and organizational structure and resource allocation planning, as well as change initiatives and resource control. For operational activities, any enterprise needs raw materials, related products, and various types of services provided by other organizations. At the same time, business constantly needs to develop, acquire the necessary goods/services at lower costs and of higher quality. Therefore, special importance is attached to strategic management when making purchases. Keywords: Strategic management, Procurement, Procurement management, Procurement plan

An industrialized diet as a determinant of methylation in the 1F region of the NR3C1 gene promoter.

Dietary composition can modify gene expression, favoring the development of chronic diseases via epigenetic mechanisms. Our study aimed to investigate the relationship between dietary patterns and NR3C1 gene methylation in users of the Brazilian Public Unified Health System (SUS). We recruited 250 adult volunteers and evaluated their socioeconomic status, psychosocial characteristics, lifestyle, and anthropometrics. Peripheral blood was collected and evaluated for cortisol levels, glycemia, lipid profile, and insulin resistance; methylation of CpGs 40-47 of the 1F region of the NR3C1 gene was also measured. Factors associated with degree of methylation were evaluated using generalized linear models (p < 0.05). Lifestyle variables and health variables were included as confounding factors. The findings of our cross-sectional study indicated an association between NR3C1 DNA methylation and intake of processed foods. We also observed relevant associations of average NR3C1 DNA across the segment analyzed, methylation in component 1 (40-43), and methylation in component 2 (44-47) with a pattern of consumption of industrialized products in relation to BMI, serum cortisol levels, and lipid profile. These results may indicate a relationship between methylation and metabolic changes related to the stress response. These findings suggest an association of methylation and metabolic alterations with stress response. In addition, the present study highlights the significant role of diet quality as a stress-inducing factor that influences NR3C1 methylation. This relationship is further linked to changes in psychosocial factors, lifestyle choices, and cardiometabolic variables, including glucose levels, insulin resistance, and hyperlipidemia.

Thidiazuron combined with cyclanilide modulates hormone pathways and ROS systems in cotton, increasing defoliation at low temperatures.

Low temperatures decrease the thidiazuron (TDZ) defoliation efficiency in cotton, while cyclanilide (CYC) combined with TDZ can improve the defoliation efficiency at low temperatures, but the mechanism is unknown. This study analyzed the effect of exogenous TDZ and CYC application on cotton leaf abscissions at low temperatures (daily mean temperature: 15°C) using physiology and transcriptomic analysis. The results showed that compared with the TDZ treatment, TDZ combined with CYC accelerated cotton leaf abscission and increased the defoliation rate at low temperatures. The differentially expressed genes (DEGs) in cotton abscission zones (AZs) were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses to compare the enriched GO terms and KEGG pathways between the TDZ treatment and TDZ combined with CYC treatment. TDZ combined with CYC could induce more DEGs in cotton leaf AZs at low temperatures, and these DEGs were related to plant hormone and reactive oxygen species (ROS) pathways. CYC is an auxin transport inhibitor. TDZ combined with CYC not only downregulated more auxin response related genes but also upregulated more ethylene and jasmonic acid (JA) response related genes at low temperatures, and it decreased the indole-3-acetic acid (IAA) content and increased the JA and 1-aminocyclopropane-1-carboxylic acid (ACC) contents, which enhanced cotton defoliation. In addition, compared with the TDZ treatment alone, TDZ combined with CYC upregulated the expression of respiratory burst oxidase homologs (RBOH) genes and the hydrogen peroxide content in cotton AZs at low temperatures, which accelerated cotton defoliation. These results indicated that CYC enhanced the TDZ defoliation efficiency in cotton by adjusting hormone synthesis and response related pathways (including auxin, ethylene, and JA) and ROS production at low temperatures.

Distributed Fiber Optic Vibration Signal Logging Well Production Fluid Profile Interpretation Method Research

Traditional logging methods need a lot of data support such as suction profile information, reservoir geological information, and production information of injection and extraction wells to calculate oil and gas production, which is a tedious and complicated process with low interpretation accuracy. Distributed fiber optic vibration signal logging is a technology that uses fiber optics to sense the vibration signals returned from different formations or well walls to analyze the surrounding formation characteristics or downhole events, which has the advantages of strong real-time monitoring results and high reliability of interpretation results. However, the currently distributed fiber optic vibration signal logging also fails to fully utilize the technical advantages to form a systematic production calculation process. Therefore, this paper proposes to use the K-means++ algorithm to divide the vibration signal frequency bands to represent different downhole events and use the amplitude mean curve envelope area of the reservoir-related frequency bands to calculate the relative production of each production formation. The experimental results correspond well with the relative water absorption data interpreted by conventional production logging, and the accuracy of production interpretation is high, which fills the gap of a production calculation method in the field of distributed fiber optic vibration signal logging in China and strongly promotes the development of the intelligent construction of oil and gas fields.

RIPM Jazz Periodicals

RIPM Jazz Periodicals, a collaborative effort between the Institute of Jazz Studies (IJS) at Rutgers University and RIPM Partner and Participating Libraries, offers a unique collection of historical primary source jazz periodicals. With a focus on rare and hard-to-find content, the database has grown from 105 to 138 titles, spanning 350,000 citation records and 204,000 full-text pages. The product’s strength lies in exclusive content and the readability and quality of its scans. However, user experience challenges arise from the complexity of search functions. Despite minor drawbacks, continuous updates and plans for additional content highlight the product’s commitment to improvement. While there are no direct competitors, related products in the RIPM series cover different historical periods and geographic regions.

New HPLC, MS, and CDS Products Introduced in 2023–2024: A Brief Review

This article describes newly introduced high-performance liquid chromatography (HPLC), mass spectrometry (MS), chromatography data systems (CDS), and related products in 2023–2024. It summarizes their technical specifications and significant user benefits.

In Support of Industry-Conscious Disclosure Standards for Pharmaceutical and Biotechnology Patents

One of the fundamental requirements for a patent application is a disclosure of the invention via an accurate written description with sufficient detail to enable the recreation of the invention. The U.S. patent system has historically reviewed patent applications from various industries with a uniform set of requirements and standards. However, the biotechnology and pharmaceutical industries operate on notably extended product development timelines and face unique administrative pressures related to their products when compared with other industries. In response to these pressures, biotechnology and pharmaceutical companies have traditionally applied for patent protections through liberal use of genus claims and other strategies that allow for early and broad protection of groups of related products. However, three recent decisions by the Federal Circuit, and a subsequent appeal to the Supreme Court, have notably heightened patent disclosure requirements for technologies from these industries. This Comment discusses the Federal Circuit’s and Supreme Court’s decisions, compares these decisions to prior trends in the judiciary, and considers the potential impact of the decisions on the patent environment in the biotechnology and pharmaceutical industries. In light of the decisions’ potential impact on these industries, this Comment argues that the federal judiciary should align the disclosure standard more closely to the requirements of the Patent Act while protecting the usefulness of genus claims for the pharmaceutical and related industries.

고령자 삶의 질 향상을 위한 보급형 디지털컴패니언 로봇디자인연구

The entry of an aging society and the increase in the elderly population are increasing the elderly's sense of social disconnection and their need for help in daily life. In order to solve these problems, this study focuses on the design development of a popular digital companion to support the daily lives of the elderly and improve social interaction, and aims to develop a design of a popular digital companion aimed at improving the quality of life of the elderly. Do this. In addition, we developed an interface and functions that facilitate interaction with the elderly by applying a user-centered design that takes into account the usability and accessibility of the elderly. The design process was conducted by analyzing the needs and preferences of seniors, establishing an initial design concept, and making iterative improvements through prototyping and user testing. The digital companion developed as a result of this study aims to be integrated into the daily lives of the elderly and improve the quality of life of users through various functions such as health monitoring, schedule management, and communication promotion. Additionally, the usability evaluation results prove the effectiveness of the design, which provides important guidelines for the development of future digital products for the elderly. Therefore, the design development of a digital companion for the elderly emphasizes the positive impact it has on improving the quality of life of the elderly, and is expected to contribute to related research and product development in the future.

Pharmacokinetic models for first-in-human dose selection of immune-activating products in oncology

Pharmacokinetic (PK) models are increasingly submitted to the FDA to support first-in-human (FIH) dose selection of immune-oncology products. To examine whether a simple PK modeling (SPM) using clearance for scaling was acceptable for dose estimation, FIH(SPM) doses were computed and compared to doses that were safely administered to patients. We concluded that the SPM approach is acceptable in FIH dose estimation, but the variables should be carefully selected for CD3 constructs. For CD3 constructs, use of 60 kg BWh, a clearance exponent of 0.75, and a targeted plasma concentration based on relevant and/or sensitive activity assays was an acceptable approach for FIH dose selection; use of 0.85 as the scaling factor is questionable at this time as it resulted in a FIH dose that was too close to the AHD for one product (7%). Immune activating mAbs were not sensitive to changes in the clearance exponent (0.75–0.85) or body weight (60–70 kg). For PD-1/PD-L1 mAbs, using products’ in vitro EC50 in the model resulted in suboptimal FIH doses and clinical data of closely related products informed FIH dose selection. PK models submitted by sponsors were diverse in methods, assumptions, and variables, and the resulting FIH doses were not always optimal.

Association between corporate diversification strategies and inventory performance: a firm-level investigation

PurposeThis research aims to empirically investigate the impacts of product and international diversification strategies on firm-level inventory performance.Design/methodology/approachThis study empirically examines the associations between product and international diversification strategies and inventory performance based on a sample of 64,124 observations across 7,367 US publicly traded firms between 1989 and 2019 from the COMPUSTAT Segment, Fundamental Annual and Fundamental Quarterly data files. We employ both linear and nonlinear regression models to perform our empirical analysis.FindingsThis research provides strong evidence that there exists a U-shaped relationship between unrelated product diversification and inventory level and a partially inverted U-shaped relationship between international diversification and inventory level. We also find a positive impact of related product diversification on inventory level, but there is no significant curvilinear relationship between related product diversification and inventory level.Practical implicationsOur research findings offer important insights into top management’s strategic planning for diversification strategies and operations manager’s inventory control policies to achieve the strategic fit between corporate diversification and inventory management.Originality/valueProduct and international diversification strategies not only play an essential role in the firm’s competitive advantage, but also have a significant influence on operations manager’s inventory decision. This research is among the first to systematically investigate how top management’s related product, unrelated product and international diversification strategies may have complex nonlinear impacts on inventory performance.

Detecting the risk of cross-product manipulation in the EUREX fixed income futures market

Cross-product manipulation involves manipulating one financial product to profit from the subsequent reaction in a different but related product. In this paper, we develop a simple model that researchers and regulators can use to scan for the susceptibility of two markets to such misconduct. We also test the model empirically on a set of government bond futures contracts using a complete EUREX ultra-high-frequency dataset. Our findings show that cross-product manipulation is feasible across bond futures with different underlying maturities, issuers and contract expiry dates. The results suggest that cross-product manipulation might be widespread despite an increasing crackdown by regulators and prosecutors.

Transformation, leaching and plant uptake simulations of 6:2 and 8:2 polyfluoroalkyl phosphate diesters (diPAPs) and related transformation products under near-natural conditions

In response to the growing concern over PFAS contamination, employing models to simulate PFAS behavior in the environment becomes necessary. This facilitates evaluating risks tied to leaching into groundwater, adsorption in soil, plant uptake, entry into the food chain, and the conversion of precursors into persistent PFAS. We utilized the MACRO model to simulate the behavior of the precursors 6:2 diPAP and 8:2 diPAP using data from a 2-year lysimeter experiment, key compound parameters were optimized via the caRamel evolutionary algorithm. We assumed that the transformation of both diPAP precursors into stable PFAAs is influenced by temperature and soil moisture, similar to pesticide degradation by microorganisms. Results reveal that the model accurately represents transformation, leaching, soil retention, and plant uptake of diPAP and transformation products. A comparison with a lab-based soil column study supports the slower natural degradation of precursors, affirming our modeling approach. Temperature and soil moisture could indicate that a worst-case scenario for transformation product leaching into groundwater could occur during a mild summer with moderate evapotranspiration and heavy rainfall. Plant uptake involves multiple elements: PFAS availability in the root zone depends on prior degradation or presence. Increased moisture in the root zone favors PFAS uptake combined with temperatures high enough for prior biotransformation. The calculation of temperature and moisture-based conversion rates was adopted directly from MACRO. It is recommended to further investigate these effects to validate and possibly modify them.