Basic Research Research Articles

Dual process models of clinical reasoning: The central role of knowledge in diagnostic expertise.

Research on diagnostic reasoning has been conducted for fifty years or more. There is growing consensus that there are two distinct processes involved in human diagnostic reasoning: System 1, a rapid retrieval of possible diagnostic hypotheses, largely automatic and based to a large part on experiential knowledge, and System 2, a slower, analytical, conscious application of formal knowledge to arrive at a diagnostic conclusion. However, within this broad framework, controversy and disagreement abound. In particular, many authors have suggested that the root cause of diagnostic errors is cognitive biases originating in System 1 and propose that educating learners about the types of cognitive biases and their impact on diagnosis would have a major influence on error reduction. In the present paper, we take issue with these claims. We reviewed the literature to examine the extent to which this theoretical model is supported by the evidence. We show that evidence derived from fundamental research in human cognition and studies in clinical medicine challenges the basic assumptions of this theory-that errors arise in System 1 processing as a consequence of cognitive biases, and are corrected by slow, deliberative analytical processing. We claim that, to the contrary, errors derive from both System 1 and System 2 reasoning, that they arise from lack of access to the appropriate knowledge, not from errors of processing, and that the two processes are not essential to the process of diagnostic reasoning. The two processing modes are better understood as a consequence of the nature of the knowledge retrieved, not as independent processes.

Advancements in Porous Metal Compounds‐Based Nanomaterials for Electrochemical Energy Conversion

Porous nanoparticles mark a significant stride toward achieving miniaturization and harnessing nanoscale properties that nature has employed for eons. Today's chemists have transcended the role of mere observers of matter; they're now empowered to manipulate and engineer novel materials, tailoring them with precise physicochemical attributes. This transition has unlocked opportunities to craft materials with intentional properties, mirroring the efficiencies and functionalities naturally evolved over millions of years. Among them, porous nanostructures based on metals have become promising materials for next generation of electrochemical devices for energy harvesting purpose due to their outstanding characteristics at the nanoscale, such as tunable surface area and surface chemistry and strong stability under operations. The performance of porous nanostructure‐based materials and devices is mainly governed by the surface structure, composition, size, defects, and the state of their interfaces. Here, some of the important nanoporose structures synthesis methods and the fundamental science behind structure formation and modification during synthesis process and their applications in the fields of electrochemical energy harvesting are presented and discussed. Future perspectives and challenges are highlighted to demonstrate the prominence of porose nanostructures and the importance of surface engineering in next‐generation energy harvesting applications.

Real-time detection of gastrointestinal leaks via bismuth chelate-enhanced X-ray gastroenterography

Anastomotic leaks are among the most dreaded complications following gastrointestinal (GI) surgery, and contrast-enhanced X-ray gastroenterography is considered the preferred initial diagnostic method for GI leaks. However, from fundamental research to clinical practice, the only oral iodinated contrast agents currently available for GI leaks detection are facing several challenges, including low sensitivity, iodine allergy, and contraindications in patients with thyroid diseases. Herein, we propose a cinematic contrast-enhanced X-ray gastroenterography for the real-time detection of GI leaks with an iodine-free bismuth chelate (Bi-DTPA) for the first time. The Bi-DTPA, synthesized through a straightforward one-pot method, offers distinct advantages such as no need for purification, a nearly 100 % yield, large-scale production capability, and good biocompatibility. The remarkable X-ray attenuation properties of Bi-DTPA enable real-time dynamic visualization of whole GI tract under both X-ray gastroenterography and computed tomography (CT) imaging. More importantly, the leaky site and severity can be both clearly displayed during Bi-DTPA-enhanced gastroenterography in a rat model with esophageal leakage. The proposed movie-like Bi-DTPA-enhanced X-ray imaging approach presents a promising alternative to traditional GI radiography based on iodinated molecules. It demonstrates significant potential in addressing concerns related to iodine-associated adverse effects and offers an alternative method for visually detecting gastrointestinal leaks.

Pore Structure and Heterogeneity Characteristics of Coal-Bearing Marine–Continental Transitional Shales from the Longtan Formation in the South Sichuan Basin, China

Marine–continental transitional shale has become a new field for shale gas exploration and development in recent years. Its reservoir characteristics analysis lags significantly behind that of marine shale, which restricts the theoretical research on the accumulation of marine–continental transitional shale and the progress of exploration and development. The shale pore system is complex and has strong heterogeneity, which restricts the fine evaluation and optimization of the reservoir. Based on nitrogen adsorption–desorption experiments, the morphology and structural characteristics of coal-bearing shale pores were analyzed, and then the micro-pore structure heterogeneity was quantitatively characterized based on fractal theory and nitrogen adsorption–desorption data, and the relationship between pore structure parameters and their influence on fractal characteristics were discussed. The hysteresis loop of nitrogen desorption isotherm mainly belongs to type B, indicating ink bottle, flat plate, and slit are the main pore shapes. The pore size distribution curves are left unimodal or multimodal, with the main peak around 4 nm and 20–60 nm. Smaller pores develop a larger specific surface area, resulting in a high value of fractal dimension (2.564 to 2.677). The rougher the pore surface and the larger the specific surface area provide an adequate adsorption site for shale gas adsorption and aggregation. Thus, fractal characteristics conduced to understand the pore structure, heterogeneity, and gas-bearing property of coal-bearing shale.

Speed control for traction motor of urban electrified train in field weakening region based on backstepping method

Tractor motors always operate in the speed region higher than rated speed, but is limited to the module of the stator current, stator voltage vectors. Additionally, mathematical model of traction motor has shown nonlinearity through the product of the state variables 𝑖𝑠𝑑, 𝑖𝑠𝑞 with the input variable 𝜔𝑠:𝜔𝑠𝑖𝑠𝑞, 𝜔𝑠𝑖𝑠𝑑. Therefore, this paper focuses on the study of speed control of traction motors in weakening field region while optimizing torque control, and choosing the backstepping method in designing speed–flux controller in order to solve the nonlinear structure. The simulation results of the responses: speed, torque, power, and flux performed on MATLAB/Simulink software with parameters collected from metro Nhon-Hanoi Station, Vietnam have proven the correctness in theoretical research.

Attribute reduction based on intuitionistic fuzzy dominance mutual information in intuitionistic fuzzy information systems

Intuitionistic fuzzy information system (IFIS) is an extension of fuzzy information system that can represent more uncertain information and more accurately describe the essence of fuzziness. Attribute reduction is an important problem in processing and analyzing IFISs. The article tries to propose an attribute reduction method in view of intuitionistic fuzzy dominance mutual information in IFISs, whose information values are intuitionistic fuzzy numbers. First, an intuitionistic fuzzy dominance relation is established in IFISs according to intuitionistic fuzzy dominance degrees, and the intuitionistic fuzzy information structure generated by the intuitionistic fuzzy dominance relation is constructed. Then, the intuitionistic fuzzy dominance entropy and its variations are researched, and some of their properties are discussed. Subsequently, an attribute reduction method and its algorithm based on intuitionistic fuzzy dominance mutual information are given. Furthermore, numerical studies and statistical tests are presented to evaluate the performance of the proposed method. Theoretical research and experiments show that the raised attribute reduction method is applicable to IFISs.

Atomically dispersed bimetallic active sites as H2O2 self-supplied nanozyme for effective chemodynamic therapy, chemotherapy and starvation therapy

Tumor microenvironment (TME)-responsive chemodynamic therapy (CDT) is severely hindered by insufficient intracellular H2O2 level that seriously deteriorates antitumor efficacy, albeit with its extensively experimental and theoretical research. Herein, we designed atomically dispersed FeCo dual active sites anchored in porous carbon polyhedra (termed FeCo/PCP), followed by loading with glucose oxidase (GOx) and anticancer doxorubicin (DOX), named FeCo/PCP-GOx-DOX, which converted glucose into toxic hydroxyl radicals. The loaded GOx can either decompose glucose to self-supply H2O2 or provide fewer nutrients to feed the tumor cells. The as-prepared nanozyme exhibited the enhanced in vitro cytotoxicity at high glucose by contrast with those at less or even free of glucose, suggesting sufficient accumulation of H2O2 and continual transformation to OH for CDT. Besides, the FeCo/PCP-GOx-DOX can subtly integrate starvation therapy, the FeCo/PCP-initiated CDT, and DOX-inducible chemotherapy (CT), greatly enhancing the therapeutic efficacy than each monotherapy.

An overview of chemically induced rodent models for sporadic colorectal cancer: Histopathological and translational perspectives.

Globally, colorectal cancer (CRC) is one of the most frequently diagnosed human gastrointestinal neoplasia and the second leading cause of cancer-related death in both men and women. Despite considerable efforts currently devoted to the study of the biology and treatment of CRC, patient prognosis and survival are still poor. Sporadic CRC is a complex multistep disease and usually emerges in the setting of lifestyle and dietary changes mainly observed in industrialized countries with high human development index (HDI) (westernized style). The molecular pathogenesis of sporadic CRC presents genetic heterogeneity with APC, RAS, PIK3CA, TGFBR, SMAD4, and TP53 mutations usually detected during the progression of this malignancy. The establishment of sporadic CRC models has become essential for both basic and translational research to improve our understanding of the pathophysiology, unravel new molecular drivers, and preventive/therapeutic improvement of this malignancy. Chemically induced rodent models of sporadic CRC recapitulate most key morphological and genetic/epigenetic events observed during the promotion and progression of this malignancy, establishing effective diagnostic and prevention strategies to be translated into clinical practice. The present review gathers the main features of the state-of-the-art evidence on chemically induced rodent models, widely applied for translational modelling of sporadic CRC with a specific focus on histopathology and prevention perspectives. Our narrative review reinforces the persistent value of these bioassays and encourages the use of multimodel strategies for further investigations.

Advancing rare cancer research by MALDI mass spectrometry imaging: Applications, challenges, and future perspectives in sarcoma.

MALDI mass spectrometry imaging (MALDI imaging) uniquely advances cancer research, by measuring spatial distribution of endogenous and exogenous molecules directly from tissue sections. These molecular maps provide valuable insights into basic and translational cancer research, including tumor biology, tumor microenvironment, biomarker identification, drug treatment, and patient stratification. Despite its advantages, MALDI imaging is underutilized in studying rare cancers. Sarcomas, a group of malignant mesenchymal tumors, pose unique challenges in medical research due to their complex heterogeneity and low incidence, resulting in understudied subtypes with suboptimal management and outcomes. In this review, we explore the applicability of MALDI imaging in sarcoma research, showcasing its value in understanding this highly heterogeneous and challenging rare cancer. We summarize all MALDI imaging studies in sarcoma to date, highlight their impact on key research fields, including molecular signatures, cancer heterogeneity, and drug studies. We address specific challenges encountered when employing MALDI imaging for sarcomas, and propose solutions, such as using formalin-fixed paraffin-embedded tissues, and multiplexed experiments, and considerations for multi-site studies and digital data sharing practices. Through this review, we aim to spark collaboration between MALDI imaging researchers and clinical colleagues, to deploy the unique capabilities of MALDI imaging in the context of sarcoma.

Behavioral Bias for Exploration Is Associated with Enhanced Signaling in the Lateral and Medial Frontopolar Cortex.

Should we keep doing what we know works for us, or should we risk trying something new as it could work even better? The exploration-exploitation dilemma is ubiquitous in daily life decision-making, and balancing between the two is crucial for adaptive behavior. Yet, we only have started to unravel the neurocognitive mechanisms that help us to find this balance in practice. Analyzing BOLD signals of healthy young adults during virtual foraging, we could show that a behavioral tendency for prolonged exploitation was associated with weakened signaling during exploration in central node points of the frontoparietal attention network, plus the frontopolar cortex. These results provide an important link between behavioral heuristics that we use to balance between exploitation and exploration and the brain function that supports shifts from one tendency to the other. Importantly, they stress that interindividual differences in behavioral strategies are reflected in differences in brain activity during exploration and should thus be more in the focus of basic research that aims at delineating general laws governing visual attention.

Design and research of a new multi-loop closed-chain morphing wing mechanism

Innovative design and investigation into multi-configurable morphing wing mechanism (MWM) have been focused on meeting the evolving needs of morphing aircraft with extensive spatial and velocity domains. In this paper, a design methodology for multi-loop closed-chain mechanism (MLCCM) involved the substitution of Bennett mechanism links with sub-mechanisms, and an innovative design of 4-RSPCR MLCCM is proposed based on the method, incorporating equivalent spherical mechanism and group theory. Subsequently, a multi-module morphing wing mechanical network consisting of the 4-RSPCR MLCCM is proposed, and the degrees of freedom (DOF) for the multi-module MWM is analyzed using graph theory. In addition, kinematic models for single module mechanism are established, and research on kinematic modeling methods for multi-module mechanisms is conducted. Finally, a prototype of a six-module MWM is constructed, and deformation experiments is conducted. The results show that the proposed innovative mechanisms and the novel multi-module morphing wing mechanical network facilitate the serialized design for various wing planar shapes. Furthermore, these mechanisms enable multi-configurational deformations, including bi-directional bending and variable span. These findings lay the groundwork for fundamental research and engineering applications of morphing wings in morphing aircraft.

Determining multidimensional influences of network heterogeneity on university students’ psychological and academic well-being: The mediating role of social network exhaustion

Mobile social media has become indispensable to university students' communication with various socio-demographic populations, exposing them to diverse social networks and augmenting their network heterogeneity. Although the psychological ramifications of network heterogeneity have been extensively examined, its correlated academic outcomes remain inconclusive. The current study formulated an integrated theoretical research model based on the stressor-stress-outcome framework to investigate the influence of factors associated with network heterogeneity (specifically, privacy invasion, social comparison, self-presentation, and excessive WeChat use) on social media exhaustion, psychological well-being, and academic well-being among university students. Furthermore, the research examined the mediating effect of social network exhaustion among network heterogeneity, psychological well-being, and academic well-being. A cross-sectional survey of 1128 WeChat users revealed that social comparison and excessive WeChat use had positive associations with social network exhaustion, while privacy invasion and self-presentation were negatively correlated with social network exhaustion. Additionally, social network exhaustion was negatively correlated with psychological well-being and academic well-being. Furthermore, social network exhaustion mediated the influences of network heterogeneity on psychological well-being and academic well-being. These obtained results could contribute to a more nuanced understanding of the underlying causes of social network exhaustion and the multifaceted effects of network heterogeneity. These insights may prove valuable for practitioners to enhance university students’ psychological states and academic performance in the contemporary mobile media-saturated environment.

Potential anticancer activities of schisandracaurin C against NTERA-2 cancer stem cells

Cancer is a global concern and the potential targeting of cancer stem cells (CSCs) has gained major attention in anticancer drug discovery research. Various natural compounds have shown promising effects in suppressing cancer, prompting scientific interest. In this study, we investigated the anti-CSC properties of schisandracaurin C, a novel compound derived from the Vietnamese plant Schisandra cauliflora. To evaluate its anti-CSC efficacy, we employed the MTT assay, flow cytometry analysis, the caspase-3 assay and a three-dimensional cell culture method, focusing on the teratocarcinoma NTERA-2 cells. Our findings revealed that schisandracaurin C inhibited the growth of NTERA-2 cells with an IC50 value of 16.61±0.13 μM, which was significantly lower than that on HEK-293A healthy embryonic kidney cells (22.72±0.02 μM) (P<0.05). Schisandracaurin C was toxic to NTERA-2 cells within three-dimensional tumorspheres (IC50: 33.47±1.45 μM). The anti-CSC effects of schisandracaurin C on NTERA-2 cells were mediated through apoptosis, as evidenced by increased caspase-3 activity. Schisandracaurin C induced cell cycle arrest at the S phase in NTERA-2 cells. These findings highlight the potential of schisandracaurin C as a promising anti-CSC compound, which warrants further mechanistic and clinical investigations.

Influence of proteins on the dielectric characteristics of 5CB and 8CB liquid crystals

ABSTRACT In this paper, we study the influence of the protein Bovine Serum Albumin (BSA) on the dielectric properties of liquid crystals (LCs) such as 4-cyano-4-pentyl biphenyl (5CB) and Octyl-4-biphenylcarbonitrile (8CB). Studying the effect of proteins on the dielectric properties of LC is essential for both fundamental research and practical applications in material science, biomedical engineering, biotechnology, and optoelectronic devices. It helps understand the protein behaviour on the surface of LCs, which offers an opportunity to develop novel sensing platforms. A polarising optical microscope (POM) was used to examine the correlation between textures formed by LCs interacting with different concentrations of BSA. In the dielectric studies, dielectric parameters such as impedance (Z), real (Z’) and imaginary (Z’’) parts of the impedance, and the tangential loss (tan δ) were measured. The investigation involved analysing relaxation times using the collected data, revealing distinct behaviours between 5CB and 8CB liquid crystals. Bode and Nyquist’s plots were constructed and analysed to investigate the changes LCs undergo while interacting with BSA. An equivalent electrical circuit (EEC) was constructed using Bode and Nyquist data, from which circuit element values were successfully extracted. The results obtained from the POM studies and the interferences drawn from the EIS can help enhance the performance of protein-based liquid crystal devices.

Plenty of Space in the Backbone: Radical Ring-Opening Polymerization.

Radical polymerization is the most widely applied technique in both industry and fundamental science. However, its major drawback is that it typically yields polymers with non-functional, non-degradable all-carbon backbones-a limitation that radical ring-opening polymerization (rROP) allows to overcome. The last decade has seen a surge in rROP, primarily focused on creating degradable polymers. This pursuit has resulted in the creation of the first readily degradable materials through radical polymerization. Recent years have witnessed innovations in new monomers that address previous design limitations, such as ring strain and reactivity ratios. Furthermore, advances in integrating rROP with reversible deactivation radical polymerization (RDRP) have facilitated the incorporation of complex, customizable chemical payloads into the main polymer chain. This short review discusses the latest developments in monomer design with a focused analysis of their limitations in a broader historical context. Recently evolving strategies for compatibility of rROP monomers with RDRP are discussed, which are key to precision polymer synthesis. The latest chemistry surveyed expands the horizon beyond mere hydrolytic degradation. Now is the time to explore the chemical potential residing in the previously inaccessible polymer backbone.

Assessing the extent and connectivity of animal burrows using smoke: a practical tool for levee inspections

This short communication presents a practical tool for assessing the subsurface connectivity of animal burrows, with emphasis on its potential for early detection and evaluation of animal-induced damages in levees that can compromise the structure during high water emergencies. Drawing inspiration from fundamental biology research and plumbing leak testing, the technique involves injection of coloured smoke into burrows using smoke bombs. A leaf blower then propels the smoke through the burrow network, enabling the identification of openings and providing insights into subsurface connections. Systematically tested in various environments and applied to investigate burrow networks of diverse animal species, including crabs, voles, and moles, the results underscore the efficacy of the smoke test as a rapid, non-destructive, and cost-effective approach for detecting interconnected burrow networks.

Theoretical and Experimental Research on Deflection of Hollow Slabs Set by Thin-Walled Corrugated Tubes on Simply Supported and Fixed Constraints in Opposite Sides

Theoretical and Experimental Research on Deflection of Hollow Slabs Set by Thin-Walled Corrugated Tubes on Simply Supported and Fixed Constraints in Opposite Sides

New haptic systems for elicit emotions in audio-visual events for hearing impaired people.

In this research we have developed devices for hearing impaired people that can transmit the emotions evoked by music. In this way, we will all achieve the full inclusion of impairment people in all social activities. As this is an issue that goes beyond pure engineering research, it has been necessary to create a multidisciplinary group within the Spanish Centre for Captioning and Audio Description (CESyA), in direct collaboration with the Display and Photonic Applications Research Group (GDAF) and the Human Language and Accessibility Technologies Group (HULAT) of the Carlos III University (UC3M) and the Psychiatry and Applied Communication Departments of the Complutense University of Madrid. For this research, a pair of haptic gloves were developed, which transmit different characteristics extracted from music by means of vibrational sequences, intended to drive an emotional reinforcement. Another device, a “music box”, a vibration box, was also developed from the idea of using vibration as an instrument.Overall, the acceptance of the glove was positive, with an 80% of users accepting the negative video, repeatedly stating in the surveys that they "felt more when the glove vibrated". The music box was also well received. Volunteers felt that the system gave them a pleasant sensation and that they could feel the music. However, some participants associated the vibration with the sensation of an alarm clock, which was expectedly negative.Considering the obtained EEG results, we can conclude that the integration of simple multimodal stimuli, visual and vibrotactile, helps to enhance the activation of emotional processes linked with musical stimulation. It can also be concluded that multimodal visual and vibrotactile stimulation enhances both attentional and emotional processes. These results pave the way for future developments that will allow a hearing-impaired person to fully enjoy an audiovisual event, which will have a great impact on this group.

Fast Photoactuation and Environmental Response of Humidity-Sensitive pDAP-Silicon Nanocantilevers.

Multi-responsive nanomembranes are a new class of advanced materials that can be harnessed in complex architectures for micro and nano-manipulators, artificial muscles, energy harvesting, soft robotics, and sensors. The design and fabrication of responsive membranes must meet such challenges as trade-offs between responsiveness and mechanical durability, volumetric low-cost production ensuring low environmental impact, and compatibility with standard technologies or biological systems This work demonstrates the fabrication of multi-responsive, mechanically robust poly(1,3-diaminopropane) (pDAP) nanomembranes and their application in fast photoactuators. The pDAP films are developed using a plasma-assisted polymerization technique that offers large-scale production and versatility of potential industrial relevance. The pDAP layers exhibit high elasticity with the Young's modulus of ≈7 GPa and remarkable mechanical durability across 20-80°C temperatures. Notably, pDAP membranes reveal immediate and reversible contraction triggered by light, rising temperature, or reducing relative humidity underpinned by a reversible water sorption mechanism. These features enable the fabrication of photoactuators composed of pDAP-coated Si nanocantilevers, demonstrating ms timescale response to light, tens of µm deflections, and robust performance up to kHz frequencies. These results advance fundamental research on multi-responsive nanomembranes and hold the potential to boost versatile applications in light-to-motion conversion and sensing toward the industrial level.

Terahertz emission from diamond nitrogen-vacancy centers.

Coherent light sources emitting in the terahertz range are highly sought after for fundamental research and applications. Terahertz lasers rely on achieving population inversion. We demonstrate the generation of terahertz radiation using nitrogen-vacancy centers in a diamond single crystal. Population inversion is achieved through the Zeeman splitting of the S = 1 state in 15 tesla, resulting in a splitting of 0.42 terahertz, where the middle Sz = 0 sublevel is selectively pumped by visible light. To detect the terahertz radiation, we use a phase-sensitive terahertz setup, optimized for electron spin resonance (ESR) measurements. We determine the spin-lattice relaxation time up to 15 tesla using the light-induced ESR measurement, which shows the dominance of phonon-mediated relaxation and the high efficacy of the population inversion. The terahertz radiation is tunable by the magnetic field, thus these findings may lead to the next generation of tunable coherent terahertz sources.