Future Insights Research Articles

Current and Future Insights in Organic–Inorganic Hybrid Materials

The text below outlines some current and future possibilities for organic–inorganic hybrid materials [...]

Abrupt and spontaneous strategy switches emerge in simple regularised neural networks.

Humans sometimes have an insight that leads to a sudden and drastic performance improvement on the task they are working on. Sudden strategy adaptations are often linked to insights, considered to be a unique aspect of human cognition tied to complex processes such as creativity or meta-cognitive reasoning. Here, we take a learning perspective and ask whether insight-like behaviour can occur in simple artificial neural networks, even when the models only learn to form input-output associations through gradual gradient descent. We compared learning dynamics in humans and regularised neural networks in a perceptual decision task that included a hidden regularity to solve the task more efficiently. Our results show that only some humans discover this regularity, whose behaviour was marked by a sudden and abrupt strategy switch that reflects an aha-moment. Notably, we find that simple neural networks with a gradual learning rule and a constant learning rate closely mimicked behavioural characteristics of human insight-like switches, exhibiting delay of insight, suddenness and selective occurrence in only some networks. Analyses of network architectures and learning dynamics revealed that insight-like behaviour crucially depended on a regularised gating mechanism and noise added to gradient updates, which allowed the networks to accumulate "silent knowledge" that is initially suppressed by regularised gating. This suggests that insight-like behaviour can arise from gradual learning in simple neural networks, where it reflects the combined influences of noise, gating and regularisation. These results have potential implications for more complex systems, such as the brain, and guide the way for future insight research.

Hand’s Vibration Perception Thresholds—A Systematic Review

The term vibration perception threshold (VPT) refers to the minimum amplitude required for a vibration to be consciously perceived. Knowledge of VPTs can be used to aid in the diagnosis of various pathologies, or to support design decisions during human-machine interface development. However, several factors affect VPT measurements (e.g., contactor size and pressure), thus, comparing VPT results from multiple studies should not be done without considering both the similarities and differences between said studies. This paper presents a systematic review on VPT results obtained across multiple studies, taking into consideration the different factors affecting the values reported in the literature. We intended to answer the following question: “What are the Vibration Perception Thresholds assessed on the glabrous skin of the hands and fingers of healthy humans?” To the best of our knowledge, this is the first attempt at conducting a systematic review focused specifically on numerical VPT results. Starting from 936 records, VPT results from 37 studies were organized according to various factors (gender, age, probe size, contact pressure, psychophysical method, room temperature, skin temperature, and hand location). This data was organized into a table, the Organization Table that is available for readers. This review can help future researchers and developers working on or working with the topic of human perception of vibrations by examining the factors that affect VPTs and discussing strategies to address them. We offer recommendations for future research and insights on how design engineers can utilize VPTs in the development of new haptic devices.

Enabling a Learning Public Health System: Enhanced Surveillance of HIV and Other Sexually Transmitted Infections.

Sexually transmitted infections (STIs) continue to pose a substantial public health challenge in the United States (US). Surveillance, a cornerstone of disease control and prevention, can be strengthened to promote more timely, efficient, and equitable practices by incorporating health information exchange (HIE) and other large-scale health data sources into reporting. New York City patient-level electronic health record data between January 1, 2018 and June 30, 2023 were obtained from Healthix, the largest US public HIE. Healthix data were linked to neighborhood-level information from the American Community Survey. In this cross-sectional study, we compared patients who received a test or tested positive for chlamydia, gonorrhea, and/or HIV with patients who were untested or tested negative, respectively, using generalized estimating equations with logit function and robust standard errors. Among 1,519,121 tests performed for chlamydia, 1,574,772 for gonorrhea, and 1,200,560 for HIV, 2%, 0.6% and 0.3% were positive for chlamydia, gonorrhea, and HIV, respectively. Chlamydia and gonorrhea co-occurred in 1,854 cases (7% of chlamydia and 21% of gonorrhea total cases). Testing behavior was often incongruent with geographic and sociodemographic patterns of positive cases. For example, people living in areas with the highest levels of poverty were less likely to test for gonorrhea but almost twice as likely to test positive compared to those in low poverty areas. Regional HIE enabled review of testing and cases using granular and complementary data not typically available given existing reporting practices. Enhanced surveillance spotlights potential incongruencies between testing patterns and STI risk in certain populations, signaling potential under- and over-testing. These and future insights derived from HIE data may be used to continuously inform public health practice and drive further improvements in provision and evaluation of services and programs.

A New Generation of Pathologists: Addressing Modern Curriculum and Educational Scholarship for Pathology Educators and Trainees After the End of the COVID-19 Pandemic.

The COVID-19 pandemic irreversibly altered the pathology education landscape. It exacerbated workforce shortages, restricted in-person activities, and highlighted critical means in curricula evaluation to limit the expansion of medical knowledge gaps in postpandemic society. Training enacted swift changes toward online learning (e-learning) practices to minimize potential deficiencies in pathology education. Today, a breadth of widely available online pathology curricular tools, including e-learning and digital pathology, are increasingly being used by medical students, trainees, and pathologists worldwide. To critically address the continued role of e-learning and digital pathology in postpandemic pathology education and scholarship, as a current paucity of literature exists and lingering workflow effects of this pandemic affecting many anatomic and clinical pathology departments globally persist. A qualitative review of relevant literature is synthesized to create a timely, narrative discussion to bridge this literature gap. Peer-reviewed sources and other original or primary documents will be assessed. Because of the subjective nature of curricular development and defining what constitutes scholarship, no widely established consensus is present, though it has been touched on in previous literature. It may be years until we better understand how e-learning and digital pathology shape curricular practices, scholarship production, and patient-care delivery, though recent studies support sustained blended curricula beyond the COVID-19 pandemic. The education landscape continues to become increasingly digitalized, and infrastructures may soon be able to support complete digital pathology practice as the education norm. Future and theoretical insight for pathology and laboratory departments globally are provided.

Hospital 4Ms: Documentation and association with patient characteristics.

For the thousands of health systems recognized as Age-Friendly, considerable progress has been made to integrate 4Ms into clinical care. This study evaluated associations between 4Ms documentation and patient characteristics in an inpatient setting. In this prospective cohort, hospitalizations included were from patients in an Acute Care for Elders (ACE) unit where the 4Ms were adopted and implemented. Each M (What Matters, Medication, Mentation, and Mobility) was stratified into three categories (not documented, partly documented, and fully documented) reflecting "assessment" and "action" clinical care processes. Electronic health records were reviewed for patient and hospitalization characteristics. Descriptive statistics evaluated these characteristics across categories of each M. There were 620 hospital encounters (573 patients) included in the cohort. Patients had a median age of 80 years [IQR 76, 86] and 85% were White. Of all 4Ms, What Matters had the lowest documentation with 413 (67%) of encounters falling into the not documented group. Medication had the highest documentation with 453 (73%) of encounters in the fully documented group. Significant differences in documentation were associated with age and partlyversus fully documented Mobility (80 [76, 86] and 82 [77, 88] (p = 0.019)). Hospital length of stay was differentially associated with documentation of all 4M categories. Initial mobility scores were associated with not versus partly documented Medication (6 [2, 7] and 2 [2, 6] (p = 0.041)). We developed a structured way to categorize "assessment" and "action" 4Ms care processes reflective of three documentation categories in the hospital (not, partly, and fully) and identified important patient and hospital characteristics associated with each. These results offer opportunities for future improvement efforts and insight to which characteristics may be important to measure with wider 4Ms adoption and uptake.

Electrode and Electrolyte Design Strategies Toward Fast‐Charging Lithium‐Ion Batteries

AbstractFast‐charging lithium‐ion batteries are pivotal in overcoming the limitations of energy storage devices, particularly their energy density. There is a burgeoning interest in boosting energy storage performance through enhanced fast‐charging capabilities. However, the challenge lies in developing batteries that combine high rates, long cycle life, high capacity, and safety. This review emphasizes the importance of fundamentals and design principles of fast charging, identifying the transport of ion/electron within the electrodes/electrolytes' bulk phase and at phase boundaries as the crucial rate‐limiting steps for fast charging. Such as ion transport tunnel regulation, interfacial modification, defect engineering and multiphase systems, various optimization strategies improve the stable and exceptional electrochemical reaction kinetics for electrodes. Constructing stable solid electrolyte interfaces and adjusting solvation structures further enhance the Li+ diffusion kinetics of electrolytes. The review critically assesses the impacts and limitations of these strategies, suggesting future research directions and insights for advancing fast‐charging lithium‐ion batteries. It is anticipated that this review will inspire and guide the systematic evolution of fast‐charging technologies.

Lifing Assessment of Gas Turbine Blade Root Affected by Out-of-Tolerances.

Current and future heavy-duty gas turbines (GTs) are being developed as an alternative or support to renewable energy sources (RESs). Therefore, GTs are subjected to several instances of being switched on and off; thus, the material fatigue limit can be reached in a short time. In such a scenario, possible out-of-tolerances (OoTs) in critical components must be considered. In this paper, OoTs related to critical parameters in the attachment geometry of a rotor blade are considered to estimate their impact on component life through a 2D finite element (FE) analysis. First, a mesh refinement is performed to obtain mesh-independent results; second, OoT geometries are simulated to determine stresses and strains at the blade attachment and disc groove. The mesh refinement process is critical to ensure model accuracy for both nominal and OoT geometries. The results show that OoTs can lead to important reductions in the life of the intended component, both on the blade and disc sides. These results could be useful in updating the maintenance plan for components and could be used for future insights, with further work extending the study to 3D geometry, for example, and evaluating the effect of other geometries.

A review: Enhancing tribological properties of journal bearings composite materials

Abstract Tribology is the science of studying friction, wear, and lubrication. Composite materials consist of two or more constituents (phases): the discontinuous phase represents the reinforcement and the continuous phase represents the matrix. Journal bearing is manufactured from various composite materials. This article reviews the literature on improving the tribological properties of journal bearings made of composite materials (polymer matrix composite materials and metal matrix composite materials) by dividing the previous studies into six primary sections depending on the kinds of composite materials. An efficient method was utilized to solve the problems of composite journal bearings in water lubrication such as wear resistance, reduced friction, and increased service life of journal bearings in various applications especially in ships. The impact of composite materials, which were added through thermoplastic such as polytetrafluoroethylene (PTFE), polyether-ether-ketone, POM, and PA66, thermoset such as epoxy, polyester, and phenolic reinforced with fibers, and thermoplastic with thermoset (PTFE/epoxy composite) to reduce wear rate and coefficient of friction, and also the addition of nanomaterials to composite journal bearing to enhance the tribological properties in various applications were examined. The last section used metal matrix composite reinforced to other metal or alloy to give the attractive mechanical properties used to improve wear resistance and friction coefficient of journal bearing. The novelty of this article lies in the comprehensive analysis of various composite materials and their effect on the tribological properties of journal bearings, providing future insights into bearing design and optimization to improve performance.

A standardized framework to test event-based experiments

The replication crisis in experimental psychology and neuroscience has received much attention recently. This has led to wide acceptance of measures to improve scientific practices, such as preregistration and registered reports. Less effort has been devoted to performing and reporting the results of systematic tests of the functioning of the experimental setup itself. Yet, inaccuracies in the performance of the experimental setup may affect the results of a study, lead to replication failures, and importantly, impede the ability to integrate results across studies. Prompted by challenges we experienced when deploying studies across six laboratories collecting electroencephalography (EEG)/magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and intracranial EEG (iEEG), here we describe a framework for both testing and reporting the performance of the experimental setup. In addition, 100 researchers were surveyed to provide a snapshot of current common practices and community standards concerning testing in published experiments’ setups. Most researchers reported testing their experimental setups. Almost none, however, published the tests performed or their results. Tests were diverse, targeting different aspects of the setup. Through simulations, we clearly demonstrate how even slight inaccuracies can impact the final results. We end with a standardized, open-source, step-by-step protocol for testing (visual) event-related experiments, shared via protocols.io. The protocol aims to provide researchers with a benchmark for future replications and insights into the research quality to help improve the reproducibility of results, accelerate multicenter studies, increase robustness, and enable integration across studies.

The role of long noncoding RNAs in the diagnosis, prognosis and therapeutic biomarkers of acute myeloid leukemia.

Acute myeloid leukemia (AML) is the abnormal proliferation of immature myeloid blast cells in the bone marrow. Currently, there are no universally recognized biomarkers for the early diagnosis, prognosis and effective treatment of AML to improve the overall survival of patients. Recent studies, however, have demonstrated that long noncoding RNAs (lncRNAs) are promising targets for the early diagnosis, prognosis and treatment of AML. A critical review of available data would be important to identify study gaps and provide perspectives. In this review, we explored comprehensive information on the potential use of lncRNAs as targets for the diagnosis, prognosis, and treatment of AML. LncRNAs are nonprotein-coding RNAs that are approximately 200 nucleotides long and play important roles in the regulation, metabolism and differentiation of tissues. In addition, they play important roles in the diagnosis, prognosis and treatment of different cancers, including AML. LncRNAs play multifaceted roles as oncogenes or tumor suppressor genes. Recently, deregulated lncRNAs were identified as novel players in the development of AML, making them promising prognostic indicators. Given that lncRNAs could have potential diagnostic marker roles, the lack of sufficient evidence identifying specific lncRNAs expressed in specific cancers hampers the use of lncRNAs as diagnostic markers of AML. The complex roles of lncRNAs in the pathophysiology of AML require further scrutiny to identify specific lncRNAs. This review, despite the lack of sufficient literature, discusses the therapeutic, diagnostic and prognostic roles of lncRNAs in AML and provides future insights that will contribute to studies targeting lncRNAs in the diagnosis, treatment, and management of AML.

Microbes and metabolites in immunity

The immune system has a vital, albeit complex, relationship with the microbes residing within us, one that we are only beginning to understand. We asked investigators what they felt were the fundamental challenges we currently face in unraveling the impacts of microbes and their metabolites on host immunity and to discuss key opportunities toward achieving future insights and innovation.

Characterizing Flow Dynamics in a Two-dimensional Flow Cell: Developing Methodologies for Enhanced Subsurface Contaminant Remediation Research

This study used a two-dimensional (2-D) flow cell apparatus (25 cm × 25 cm × 1 cm) to characterize water flow and contaminant transport in porous media. The primary objective was to enhance the understanding of flow dynamics and contaminant behavior in controlled 2-D environments, which is crucial for optimizing the application of remediation technologies to treat contaminants in saturated and unsaturated soil conditions. The 2-D cell was designed with transparent walls to simulate subsurface conditions using medium grained sand, allowing for precise control and observation of fluid movement under saturated and quasi-saturated (trapped air) conditions. Visualization techniques and flow measurement tools were employed to capture detailed data on flow patterns, velocities, and dispersion characteristics. Analysis of breakthrough curves for salt tracer tests using electrical conductivity measurements, alongside varying flow rates, flow fractions, and port configurations, provided significant insights into fluid behavior and contaminant transport. The study also explored the effects of varying salt concentrations (and solution densities) on flow dynamics, contributing to a better understanding of the role of contaminant concentration in contaminant plume development and remediation processes. Visual analysis using dyed contaminant complemented the quantitative data, offering real-time observations of flow patterns and contaminant distribution. A custom-built apparatus was used to control the hydraulic head of multiple outlet ports to sample water from different depths. The experiments demonstrated that gravity plays a crucial role in solute (salt) breakthrough, with lower ports showing earlier breakthrough. Flow fields formed vertically, from bottom-to-top, and horizontally, from inlet-to-outlet, with lower portions advancing sooner. However, multi-port configurations, especially involving five ports, disrupted the sequential breakthrough order, possibly due to convection in the clear well that formed the outlet boundary of the flow cell. These findings will support research students in conducting similar experiments with flow and transport that varies with depth, with future insights for professionals in developing and optimizing remediation strategies related to subsurface contaminant flow. Special thanks are extended to Liam Price, Julia-Barnes James, and Brooke Belfall who were helpful during the research and the experimentation process.

From innovation to stability: Evaluating the ripple influence of digital payment systems and capital adequacy ratio on a bank’s Z-score

This study investigated the influence of digital payment systems on banks’ stability by exploring their effect on the Z-score of the Jordanian banking sector during the period from 2004 until 2022. It specifically focused on liquidity risks generated from e-payment transactions and how sufficient capital adequacy ratios enhance banking sector stability over both short-term and long-term periods by standing against sudden volatilities yielded from large amounts of transactions executed through digital payment systems. To achieve this objective, the study utilizes time series dual regression analyses of vector autoregression and vector error correction models on E-views 12 to cover the time variation influences of digital payment on the banking sector Z-score. The regression results indicate varied effects between the benefits and risks of digital payment systems on a bank’s Z-score that influence the immediate sector’s stability, indicating that while digital payment systems can initially hold liquidity risks, leading to short-term instability; the strategic implementation of robust capital adequacy ratio stands as a protective buffer by fostering long-term banking sector resilience. The results also suggest future predictions and insights for financial sector legislators and regulators emphasizing the need for monitoring strategies that stimulate continuous innovations in the digital payment infrastructure while constantly ensuring the stability and resilience of the banking sector. Thus, prudent liquidity management and the reinforcement of capital buffers are encouraged to pilot the dual challenges and opportunities that appeared at the stages of the digital payment process, ultimately guiding the sector toward continuous growth and sustainability. AcknowledgmentThe author is grateful to the Middle East University, Amman, Jordan for the financial support granted to cover the publication fee of this research.

Advancing Knowledge with Ultraviolet- Spectroscopy: Recent Trends and Future Insights

Advancing Knowledge with Ultraviolet- Spectroscopy: Recent Trends and Future Insights

From runway to homepage: Synthesizing luxury brand strategies in digital scape

The increasing preference of consumers to purchase luxury online has caught the attention of luxury retailers over time. It has encouraged retailers to formulate strategies that boost their online revenue. Owing to the importance of the topic, this article presents a detailed and critical review of brand strategies that induce luxury consumption using digital platforms. Using the PRISMA approach and following the systematic review process, the authors have identified five major brand strategies that can help them strengthen their digital game. The article presents a conceptual framework that will help luxury retailers understand the current state of online brand strategies, draw inferences from them, and use them to achieve their future objectives. Academically, the article includes a synthesis of publication trends, methodologies, prominent journals, theories, constructs, and directions for future research using the TCM approach. This will help future researchers gain meaningful insights into the extant work and help them discover gaps to advance the online luxury literature. Further, the paper highlights the industrial implications of the identified brand strategies in the Asian market, as luxury brands have shown an increasing interest in this growing market.

Optimizing Production, Characterization, and In Vitro Behavior of Silymarin-Eudragit Electrosprayed Fiber for Anti-Inflammatory Effects: A Chemical Study.

Inflammatory Bowel Disease (IBD) is a chronic condition that affects approximately 1.6 million Americans. While current polyphenols for treating IBD can be expensive and cause unwanted side effects, there is an opportunity regarding a new drug/polymer formulation using silymarin and an electrospray procedure. Silymarin is a naturally occurring polyphenolic flavonoid antioxidant that has shown promising results as a pharmacological agent due to its antioxidant and hepatoprotective characteristics. This study aims to produce a drug-polymer complex named the SILS100-Electrofiber complex, using an electrospray system. The vertical set-up of the electrospray system was optimized at a 1:10 of silymarin and Eudragit® S100 polymer to enhance surface area and microfiber encapsulation. The SILS100-Electrofiber complex was evaluated using drug release kinetics via UV Spectrophotometry, Fourier-Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and Differential Scanning Calorimetry (DSC). Drug loading, apparent solubility, and antioxidant activity were also evaluated. The study was successful in creating fiber-like encapsulation of the silymarin drug with strand diameters ranging from 5-7 μm, with results showing greater silymarin release in Simulated Intestinal Fluid (SIF) compared to Simulated Gastric Fluid (SGF). Moving forward, this study aims to provide future insight into the formulation of drug-polymer complexes for IBD treatment and targeted drug release using electrospray and microencapsulation.

Established practices and future insights into patellar instability surgery: A review.

Established practices and future insights into patellar instability surgery: A review.

A comprehensive analysis and exploration of the recent developments in the utilization of genetically modified microorganisms for the remediation of hazardous dye pollutants

Innovative and effective remediation techniques are required with regard to growing environmental concerns on hazardous dye pollutants emitted by the textile industries. The review explores on the recent developments in utilization of genetically modified organisms (GMO) for the dye removal. Through improved capacities and specificities towards dye pollutants, genetically modified organisms present a potential strategy towards achieving Sustainable Development Goal (SDG) No. 6 of the UN, focused on clean water and sanitation. The key findings show that genetic engineering methods, including recombinant DNA (rDNA) and CRISPR-Cas9 technologies, can increase the capacity of bacteria to degrade, metabolize, or immobilize dye pollutants, improving degradation efficiency from around 7%–65%. The enzymatic processes are identified as the primary mechanisms involved in dye compound degradation by genetically engineered microbes. The review emphasizes the use of genetic approaches for dye degradation, co-cultivation with native microbial communities, optimizing operational parameters like pH, temperature, and nutrient availability, and omics technologies for a deeper understanding of metabolic networks and regulatory mechanisms with the aim of leading future genetic advancements in dye remediation. The review discusses the practical feasibility and environmental safety challenges of using genetically engineered microbes in sustainable dye remediation, highlighting limitations and future insights.

In Silico Evaluation of Lawsonia intracellularis Genes Orthologous to Genes Associated with Pathogenesis in Other Intracellular Bacteria.

Proliferative enteropathy is an enteric disease caused by the bacterium Lawsonia intracellularis, which affects several species of domestic and wild animals. The mechanisms underlying the mechanisms employed by L. intracellularis to cause host cell proliferation are poorly understood, mostly because this bacterium is extremely difficult to isolate and propagate in vitro. Comparative genomics methods for searching for genes orthologous to genes known to be associated with pathogenesis allow identification of genes potentially involved in pathogenesis by the pathogen of interest. The goal of this study was to carry out in silico research on L. intracellularis genes orthologous to genes required for intracellular invasion and survival present in other pathogenic bacteria, particularly Brucella abortus, B. melitensis, B. suis, Listeria monocytogenes, Mycobacterium tuberculosis, Mycobacterium avium subspecies paratuberculosis, Salmonella enterica, Yersinia pestis, Y. enterocolitica, and Y. pseudotuberculosis. A total of 127 genes associated with invasion and intracellular survival from five known intracellular bacteria were mapped against the predicted proteomes of all L. intracellularis strains publicly available on GenBank, using the OrthoFinder program. A total of 45 L. intracellularis genes were orthologous to genes associated with pathogenesis of other intracellular bacteria. Genes putatively associated with signal the transduction of chemotaxis and cell motility were identified. Genes related to DNA binding and repair were also identified, with some of them supporting a possible association of bacteria with macrophages or inducing pro-inflammatory responses. The homology-based identification of these genes suggests their potential involvement in the virulence and pathogenicity of L. intracellularis, opening avenues for future research and insights into the molecular mechanisms of Lawsonia-elicited proliferative enteropathy.