Platform For Applications Research Articles

Microneedles integrated with atorvastatin-loaded pumpkisomes for breast cancer therapy: A localized delivery approach

Breast cancer is the most common invasive cancer in women worldwide, having a significant impact on women's well-being. Early diagnosis of breast cancer followed by appropriate treatment is considered the best survival factor. Microneedles (MN) have been utilized for non-invasive localized breast cancer treatment. The combination of nano-carriers with MN technology represents an appealing strategy for improving drug delivery efficacy. It is worth noting that atorvastatin (ATV) has received substantial interest as a drug with potential anticancer activity. Our study aimed to formulate an ATV-loaded bioactive pumpkin seed oil vesicular nanocarrier; pumpkisomes (PUMP) for enhanced localized delivery to breast cancer using MN. The selected PUMP formulation had a particle size of 151.8 ± 2.7 nm, zeta potential of −54.1 mV, and % entrapment efficiency of 73 %. PUMP showed a sustained ATV release, potent selective cytotoxic effect (IC50 of 2.82 ± 0.02 μg/mL), enhanced internalization (2.8-fold increase compared to the free drug), and potent anti-migratory effect on MDA-MB-231 cells (21.15 ± 3.6 % wound closure compared to 80.81 ± 4.1 % for free drug). Moreover, integrating ATV-PUMP in dissolving microneedles (ATV-PUMP@dMN) showed a quick dissolution rate and appropriate mechanical strength with high piercing efficiency. ATV permeation across the skin from ATV-PUMP@dMN was also improved (1.8-fold increase compared to ATV-PUMP@gel). ATV-PUMP@dMN demonstrated an efficient anticancer effect when applied in an Ehrlich ascites mammary tumor model attaining significant improvement in ATV antiproliferative (PTEN and Ki-67), antiangiogenic (VEGF) and apoptotic (Bcl2, Bax and caspase3) effects restoring tumor biomarkers to levels comparable to the negative control group. Thus, our study presents PUMP as a novel and promising bioactive vesicular nanosystem with potential synergistic effect with ATV or other antitumor drugs. PUMP-integrated MN could be considered a promising platform for future applications in localized breast cancer therapy.

An Updated Review on Nanoemulsion: Factory for Food and Drug Delivery.

A nanoemulsion is a colloidal system of small droplets dispersed in another liquid. It has attracted considerable attention due to its unique properties and various applications. Throughout this review, we provide an overview of nanoemulsions and how they can be applied to various applications such as drug delivery, food applications, and pesticide formulations. This updated review aims to comprehensively overview nanoemulsions and their applications as a versatile platform for drug delivery, food applications, and pesticide formulations. Research relevant scientific literature across various databases, including PubMed, Scopus, and Web of Science. Suitable keywords for this purpose include "nanoemulsion," "drug delivery," and "food applications." Ensure the search criteria include recent publications to ensure current knowledge is included. Several benefits have been demonstrated in the delivery of drugs using nanoemulsions, including improved solubility, increased bioavailability, and controlled delivery. Nanoemulsions have improved some bioactive compounds in food applications, including vitamins and antioxidants. At the same time, pesticide formulations based on nanoemulsions have also improved solubility, shelf life, and effectiveness. The versatility of nanoemulsions makes them ideal for drug delivery, food, and pesticide formulation applications. These products are highly soluble, bioavailable, and targeted, providing significant advantages. More research and development are required to implement nanoemulsion-based products on a commercial scale.

Personalised PDAC chip with functional endothelial barrier for tumour biomarker detection: a platform for precision medicine applications

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer characterised by poor survival rates and an increasing global incidence. Advances in the staging and categorization of pancreatic tumours, along with the discovery of functional mutations, have made precision treatments possible, which may lead to better clinical results. To further improve customized treatment approaches, in vitro models that can be used for functional drug sensitivity testing and precisely mimic the disease at the organ level are required. In this study, we present a workflow for creating a personalised PDAC chip utilising primary tumour-derived human pancreatic organoids (hPOs) and Human Umbilical Vein Endothelial Cells (HUVECs) to simulate the vascular barrier and tumour interactions within a PDMS-free organ-on-a-chip system. The patient PDAC tissue, expanded as tumour hPOs, could be cultured as adherent cells on the chip for more than 50 days, allowing continuous monitoring of cell viability through outflows from tumour and endothelial channels. Our findings demonstrate a gradual increase in cell density and cell turnover in the pancreatic tumor channel. Tumour-specific biomarkers, including CA-19.9, TIMP-1, Osteopontin, MIC-1, ICAM-1 and sAXL were consistently detected in the PDAC chip outflows. Comparative analyses between tissue culture plates and microfluidic conditions revealed significant differences in biomarker secretion patterns, highlighting the advantages of the microfluidics approach. This PDAC chip provides a stable, reproducible tumour model system with a functional endothelial cell barrier, suitable for drug sensitivity and secretory biomarker studies, thus serving as a platform for functional precision medicine application and multi-organ chip development.

Spherical Shell Bioprinting to Produce Uniform Spheroids with Controlled Sizes

Conventional cell spheroid production methods are largely manual, leading to variations in size and shape that compromise consistency and reliability for use in cell-based therapeutic applications. To enhance spheroid production, a spherical shell bioprinting system was implemented, enabling the high-throughput generation of uniform cell spheroids with precisely controlled sizes. The system encapsulates cells within thin alginate hydrogel shells formed through bioprinting and ion crosslinking reactions. Alginate–calcium ion crosslinking created alginate shells that contained gelatin-based bioinks with embedded cells, facilitating spontaneous cell aggregation within the shells and eliminating the need for plastic wells. By adjusting cell concentrations in the alginate–gelatin bioink, we achieved precise control over spheroid size, maintaining a sphericity above 0.94 and size deviations within ±10 µm. This method has been successfully applied to various cell types including cancer cells, fibroblasts, chondrocytes, and epithelial cells, demonstrating its versatility. This scalable approach enhances the reliability of cell therapy and drug screening, offering a robust platform for future biomedical applications.

Application of Artificial Intelligence Platforms and Its Influence on Education of Students in Higher Learning Institutions in Arusha City, Tanzania

Application of Artificial Intelligence Platforms and Its Influence on Education of Students in Higher Learning Institutions in Arusha City, Tanzania

Abstract PR017: Anti-metastatic immunotherapy discovery using ex vivo lung tissue cultures and high-throughput single-cell chemical transcriptomics

Abstract Introduction: Tumors systemically remodel the immune system during metastasis. Developing anti-metastatic immunotherapies that target these tumor-immune interactions to make the metastatic niche hostile colonization would represent a paradigm shift in cancer treatment. However, traditional high-throughput screening (HTS) platforms that use simple read-outs and contrived in vitro systems are ill-suited to identify such therapies. In contrast, HTS platforms that accurately model the metastatic niche and use high-dimensional read-outs such as multiplexed single-cell RNA-sequencing (scRNA-seq) can accurately profile nuanced perturbation responses in individual immune cell types and therefore have the potential to discover anti-metastatic immunotherapies. In this study, we describe the development of an ex vivo lung tissue culture HTS platform that preserves immune gene expression signatures observed in the in vivo metastatic niche and is amenable to single-cell chemical transcriptomic analysis using MULTI- seq (McGinnis et al., Nature Methods, 2019). Inspired by our recent description of myeloid cell TLR-NFκB inflammation during breast cancer lung metastasis (McGinnis et al., Cancer Cell, 2024), we then performed the first anti-metastatic immunotherapy drug screen and identified TLR-NFκB inhibitors that effectively operate on all desired myeloid cell types in the lung metastatic niche. Methods and Results: Building upon existing techniques for culturing precision-cut lung slices (Wu et al., Journal of Experimental Medicine, 2024) and patient- derived tumor fragments (Voabil et al., Nature Medicine, 2021), we established and optimized an ex vivo lung tissue culture system that enables 48-hour culturing of lung slices isolated from 4T1 tumor-bearing mice. scRNA-seq profiling revealed successful capture of all relevant immune cell types and retention of metastasis-associated gene expression programs (e.g., myeloid TLR-NFκB inflammation and neutrophil degranulation) following culture. We then scaled our platform to address how myeloid cells in the lung metastatic niche respond to perturbations targeting every component of the canonical TLR-NFκB signaling cascade. Cell-type-specific perturbation modeling and quantification of TLR-NFκB signaling inhibition identified compounds that optimally perturb all intended myeloid cell types (e.g., tissue-resident macrophages, neutrophils, and monocytes) and represent prioritized candidates for future in vivo validation studies to assess impact on metastatic disease progression. Conclusions: In this study, we describe the development and application of a novel HTS platform that couples ex vivo lung tissue cultures with single-cell chemical transcriptomics to identify anti-metastatic immunotherapy candidates. We demonstrate how our platform can identify TLR-NFκB signaling inhibitors that optimally operate in the lung metastatic niche, paving the way for future interrogation of additional metastasis-associated immune cell signaling pathways in different disease and tissue backgrounds. Citation Format: Chris McGinnis, Winnie Yao, Ansuman Satpathy. Anti-metastatic immunotherapy discovery using ex vivo lung tissue cultures and high-throughput single-cell chemical transcriptomics [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Tumor-body Interactions: The Roles of Micro- and Macroenvironment in Cancer; 2024 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2024;84(22_Suppl):Abstract nr PR017.

Key Takeaways From ISASS Webinar Series on Endoscopic Spine Surgery Techniques | Part 4: Advancing the Curve on Surgeons' Experience With Complex Lumbar Revision Scenarios, Grades 1 to 3 Spondylolytic Spondylolisthesis, Cervical Foraminotomy, and Cervical Spondylotic Myelopathy.

The fourth webinar in a 4-part series hosted by the International Society for the Advancement of Spine Surgery explored contemporary endoscopic spine surgery techniques. This session covered complex revision strategies, endoscopic management of grades 1-3 spondylolytic spondylolisthesis, cervical foraminotomy, and decompression techniques for cervical spondylotic myelopathy (CSM). The aim was to assess surgeon endorsement of the discussed endoscopic spine surgery techniques both before and after the webinar using polytomous Rasch analysis. Additionally, the analysis sought to determine how these insights might shape clinical guideline recommendations. Before the webinar, which was attended by 868 potential participants, a survey was distributed to collect data on the level of support for various techniques using a Likert scale. The polytomous Rasch model analyzed these responses by evaluating decision complexity relative to surgeon expertise. This approach helped develop a logarithmic scale to objectively analyze categorical responses, distinguish between congruent and incongruent items, and contribute to the enhancement of clinical guidelines. Of the 868 surgeons, 263 accessed, 150 started, and 118 completed the prewebinar survey, with a completion rate of 78.7%. The participants were mainly orthopedic surgeons (59.3%) and neurosurgeons (34.7%) but also included residents (2.5%), fellows (1.7%), and interventional radiologists (1.7%). In the postwebinar phase, 298 participants accessed the survey, 169 started it, and 128 completed it, achieving a 75.7% completion rate. The demographics of postwebinar participants closely mirrored the initial group: 66.4% orthopedic surgeons, 23.4% neurosurgeons, 3.6% residents, 2.9% fellows, 0.7% medical students, and 2.9% interventional radiologists. The Rasch analysis confirmed high surgeon confidence for the posterior cervical foraminotomy and endoscopic treatment of spondylolytic spondylolisthesis grades 1 to 3 and posterior endoscopic decompression for CSM. Both pre- and postwebinar responses showed a good fit to the Rasch model for these endoscopic techniques, indicating minimal bias, supported by differential item functioning analysis. The application of the endoscopic surgery platform for procedures such as lumbar revision surgery for adjacent segment disease or failed interbody fusion cages and posterior decompression of CSM saw little shift in endorsement, as evidenced both in descriptive and the logarithmically transformed Rasch statistics. This webinar highlighted the evolving consensus on best practices in endoscopic spine surgery, displaying wide acceptance of endoscopic debridement of spondylolytic spondylolisthesis, cervical foraminotomy for herniated disc and bony stenosis, and posterior endoscopic decompression for CSM. Assessing surgeon confidence and acceptance of endoscopic spinal surgeries using polytomous Rasch analysis. Level 2 (inferential) and 3 (observational) evidence because Rasch analysis provides statistical validation of instruments rather than direct clinical outcomes.

Efficacy of chondroitin sulfate as an emerging biomaterial for cancer-targeted drug delivery: A short review.

The global increase in cancer incidence over the past decade highlights the urgent need for more effective therapeutic strategies. Conventional cancer treatments face challenges such as drug resistance and off-target toxicity, which affect healthy tissues. Chondroitin sulfate (CHDS), a naturally occurring bioactive macromolecule, has gained attention because of its biocompatibility, biodegradability, and low toxicity, positioning it as an ideal candidate for cancer-targeted drug delivery systems. This review highlights the potential of CHDS as an emerging biomaterial in cancer therapy, focusing on its unique biological properties and applications in drug delivery platforms. Furthermore, we discuss the advantages of CHDS-based biomaterials in enhancing cancer treatment efficacy and minimizing side effects, in order to provide a comprehensive reference for future research on CHDS-based cancer therapeutics.

The pangenome analysis of the environmental source Salmonella enterica highlights a diverse accessory genome and a distinct serotype clustering.

Salmonella remains the leading cause of foodborne infections globally. Environmental reservoirs, particularly aquatic bodies, serve as conduits for the fecal-oral transmission of this pathogen. While the gastrointestinal tract is traditionally considered the primary habitat of Salmonella, mounting evidence suggests the bacterium's capacity for survival in external environments. The application of advanced technological platforms, such as next-generation sequencing (NGS), facilitates a comprehensive analysis of Salmonella's genomic features. This study aims to characterize the genomic composition of Salmonella isolates from river water, contributing to a potential paradigm shift and advancing public health protection. A total of 25 river water samples were collected and processed, followed by microbiological isolation of Salmonella strains, which were then sequenced. Genomic characterization revealed adaptive mechanisms, including gene duplication. Furthermore, an open pangenome, predisposed to incorporating foreign genetic material, was identified. Notably, antibiotic resistance genes were found to be part of the core genome, challenging previous reports that placed them in the accessory genome.

DDDR-15. UTILIZING DEEP DOCKING AND ARTIFICIAL INTELLIGENCE FOR THE DISCOVERY OF NOVEL PARP1-SELECTIVE INHIBITORS FOR USE AGAINST BRAIN TUMORS

Abstract Brain tumors, including primary brain tumors and central nervous system (CNS) metastases, remain among the most challenging malignancies to treat, with therapeutic options often limited by the inability of drugs to penetrate the blood-brain barrier. Poly(ADP-ribose) polymerase (PARP) is a key enzyme in DNA repair, and inhibition of PARP1 specifically drives synthetic lethality in BRCA-mutated disease. While they’ve achieved commercial success, first generation PARP inhibitors are limited in their utility as they cannot readily pass through the blood-brain barrier and have adverse side effects, likely driven by the collateral inhibition of PARP2. Development of a PARP1-selective, CNS penetrant inhibitor could reduce toxicity, while providing a new therapeutic option for brain tumors. Traditional drug discovery methods are time-consuming and costly, necessitating innovative approaches. Here, we describe the application of Deep Docking, an advanced artificial intelligence (AI) approach, to discover a novel, PARP1-selective inhibitor for use against brain tumors. Deep Docking utilizes deep learning to accelerate the prediction of the binding affinity of a large number of compounds to target proteins, streamlining the virtual screening process and allowing for rapid docking of billions of compounds against the PARP1 protein. Additionally, state-of-the-art generative algorithms and deep learning techniques for predicting drug-like properties such as metabolism, permeability, and safety profiles, can be combined to rapidly perform hit-to-lead optimization. We will present preliminary Deep Docking screening results from billions of compounds, identifying several with predicted high binding affinities for PARP-1. Validating in vitro and in vivo data, including PARP1 selectivity, metabolic stability, pharmacokinetic profile, CNS penetration and safety profile, will be described. Application of the Deep Docking AI platform is being used to significantly accelerate the discovery of a selective PARP-1 inhibitor for brain tumors. This approach will not only improve the efficiency of drug discovery but also enhance the specificity and efficacy of potential therapeutics.

Visible-frequency hyperbolic plasmon polaritons in a natural van der Waals crystal

Controlling light at subwavelength scales is crucial in nanophotonics. Hyperbolic polaritons, supporting arbitrarily large wavevectors, enable extreme light confinement beyond the diffraction limit. Traditional hyperbolic metamaterials suffer from high losses due to metallic components, while natural low-loss hyperbolic phonon polaritons are limited to the mid-infrared range. Some hyperbolic materials at visible frequencies have been studied, but they are either very lossy or only feature out-of-plane hyperbolicity. Here, we demonstrate the presence of low-loss, in-plane hyperbolic plasmon polaritons in the visible and near-infrared in thin-films of MoOCl2, a natural van der Waals crystal. The polariton dispersion is predicted based on the framework of light propagation in biaxial media and experimentally confirmed by real space nano imaging on exfoliated flakes. MoOCl2 constitutes an ideal material platform for visible range applications leveraging the unboundedness of hyperbolic modes, such as hyperlensing, Purcell factor enhancement, and super-resolution imaging, without the drawbacks of metamaterials.

Discussion on the Teaching Reform and Practice of “Civil Engineering Materials” under the Background of “New Engineering”

As a fundamental course in civil engineering, the reform and practice of “Civil Engineering Materials” are crucial for the development of the civil engineering discipline. This paper addresses previous teaching shortcomings and integrates the new requirements of “New Engineering” construction. It explores the reform of teaching methods for “Civil Engineering Materials” in five areas: optimization and integration of teaching content, adjustment of experimental content, application of online learning platforms, cultivation of students’ innovative abilities, and optimization of assessment methods. The paper offers constructive suggestions for the future development and practice of the course.

MobiChIP: a compatible library construction method of single-cell ChIP-seq based droplets.

To illustrate epigenetic heterogeneity, versatile tools of single-cell ChIP-seq (scChIP-seq) are essential for both convenience and accuracy. We developed MobiChIP, a compatible ChIP-seq library construction method based on current sequencing platforms for single-cell applications. MobiChIP efficiently captures fragments from tagmented nuclei across various species and allows sample mixing from different tissues or species. This strategy offers robust nucleosome amplification and flexible sequencing without customized primers. MobiChIP reveals regulatory landscapes of chromatin with active (H3K27ac) and repressive (H3K27me3) histone modification in peripheral blood mononuclear cells (PBMCs) and accurately identifies epigenetic repression of the Hox gene cluster, outperforming ATAC-seq. Meanwhile, we also integrated scChIP-seq with scRNA-seq to further illustrate cellular genetic and epigenetic heterogeneity.

Lateral Mn5Ge3 spin-valve in contact with a high-mobility Ge two-dimensional hole gas

Abstract Ge two-dimensional hole gases (2DHG) in strained modulation-doped quantum-wells represent a promising material platform for future spintronic applications due to their excellent spin transport properties and the theoretical possibility of efficient spin manipulation. Due to the continuous development of epitaxial growth recipes extreme high hole mobilities and low effective masses can be achieved, promising an efficient spin transport. Furthermore, the Ge 2DHG can be integrated in the well-established industrial complementary metal-oxide-semiconductor (CMOS) devices technology. However, efficient electrical spin injection into a Ge 2DHG—an essential prerequisite for the realization of spintronic devices—has not yet been demonstrated. In this work, we report the fabrication and low-temperature magnetoresistance (MR) measurements of a laterally structured Mn5Ge3/Ge 2DHG/ Mn5Ge3 device. The ferromagnetic Mn5Ge3 contacts are grown directly into the Ge quantum well by means of an interdiffusion process with a spacing of approximately 130 nm, forming a direct electrical contact between the ferromagnetic metal and the Ge 2DHG. Here, we report for the first time a clear MR signal for temperatures below 13 K possibly arising from successful spin injection into the high mobility Ge 2DHG. The results represent a step forward toward the realization of CMOS compatible spintronic devices based on a 2DHG.

Effect of forced lateral vibration on flow and heat transfer performance within an annular fuel element

The investigation into the thermo-hydraulic characteristics of fuel elements under forced vibration conditions is of paramount importance in the design and application of offshore nuclear power platforms. This study employs a mathematical model of fluid-solid coupling and applies the theory of multi-field synergy to numerically analyze the flow and heat transfer features in an annular fuel element with internal and external double-sided cooling under forced lateral vibration conditions. The synergistic relationship of each flow field parameter is scrutinized for vibration conditions with frequencies ranging from 0 to 10 Hz and amplitudes from 0.005 to 0.2 m. The results demonstrate that increased amplitude and frequency contribute to enhancing the homogeneity of the temperature and velocity field distributions. Notably, the field synergy angles α, β, ψ, and γ attain minimal values at the gaps (X = 8 mm, X = 25 mm). Furthermore, the variation of vibration frequency and amplitude decreases the mean synergistic angle ψ by 5.14 % and 7.9 % and increases the mean field synergistic angle θ by 23.18 % and 31.21 %, respectively. It indicates that the vibration parameters have the least effect on the synergistic angle ψ and the greatest effect on the synergistic angle θ.

Development of an Artificial Intelligence-Based Mobile Application Platform: Evaluation of Prospective Science Teachers’ Project on Creating Virtual Plant Collections in terms of Plant Blindness and Knowledge

This research aims to investigate the use of an artificial intelligence-based mobile application with plants and plant identification techniques (AImPLANT) with prospective science teachers in outdoor activities. The goals of the study are: i) to develop an AI-based mobile application from scratch based customized for education ii) to enhance knowledge about common plants iii) to increase awareness of plants, animals, and the natural environment, offering solutions to reduce plant blindness iv) to support outdoor activities to observe, identify and taxonomically determine specific characteristics of plants (endemic, economic, health, aesthetic etc.) v) guide students creating an individual virtual herbarium. The research will achieve the expected goals by coding an original “AI-Based Mobile Application” using ChatGPT and PlantNet APIs through technologies like Flutter, Firebase, Firestore, involving approximately 3200 lines of code. The mobile application includes components such as an “Plant collection (herbarium) project module”, “AI-based chatbot", "AI-based plant identification module", "AI-based student assessment module", and a "Student assistance section". The application provides guidance in creating virtual plant collections (herbariums). Additionally, aids by the “help module” and “chatbot”. Furthermore, an AI-based “self-assessment module” evaluates like a teacher based on the answers. The research question and sub problems were based on prospective science teachers' knowledge about plant identification and taxonomy, plant blindness, and opinions on studying with artificial intelligence outdoors with common plant species. The research, once again showed that artificial intelligence facilitates teaching biology, increases academic success, has positive contributions to eliminating plant blindness, and reduces teacher candidates' concerns about artificial intelligence and affects their opinions positively.

Luminous Fish‐Inspired Hydrogels with Underwater Long‐Lived Room Temperature Phosphorescence

AbstractSome marine animals form long‐lived luminescence for predation, communication, camouflage, and anti‐predation. These marine animals demonstrate soft nature, sustainable glowing, and underwater emission, which are difficult to achieve in synthetic room temperature phosphorescence (RTP) materials. Inspired by these marine animals, here the study reports RTP hydrogels that show long‐lived phosphorescence (lifetime >500 ms and afterglow >10 s) in water. Exceptional underwater mechanical properties are simultaneously achieved, including tensile strength of 5.1 MPa, tensile strain of 452%, and toughness of 19.3 MJ m−3. The key to this achievement lies in the in situ phase separation microarchitecture formed between polyacrylamide (PAM) and its partial hydrolysates, which confines the motions of polymer chains and protects vulnerable triplet excitons from quenching of water. Such a strategy shows the merits of facile fabrication without laborious synthesis. In addition, these RTP hydrogels offer repeatable photoprinting and highly stability in water, providing a versatile platform for underwater applications of RTP materials, including information encryption and camouflage of marine animals.

Application of the online teaching model based on BOPPPS virtual simulation platform in preventive medicine undergraduate experiment.

As online teaching gains prevalence in higher education, traditional face-to-face methods are encountering limitations in meeting the demands of medical ethics, the availability of experimental resources, and essential experimental conditions. Consequently, under the guidance of the BOPPPS (bridge-in, objective, preassessment, participatory learning, postassessment, summary) teaching model, the application of virtual simulation platform has become a new trend. The purpose of this study is to explore the effect of BOPPPS combined with virtual simulation experimental teaching on students' scores and the evaluation of students' participation, performance and teachers' self-efficacy in preventive medicine experiment. Students from Class 1 and Class 2 of 2019 preventive medicine major in Binzhou Medical University were selected as the research objects. The experimental group (class 2) (n = 51) received the teaching mode combined with BOPPPS and virtual simulation platform, while the control group (class 1) (n = 49) received the traditional experimental teaching method. After class, the experimental report scores, virtual simulation scores, students' engagement scale (SES), Biggs questionnaires, and teachers' sense of self-efficacy (TSES) questionnaires were analyzed. The experimental report results demonstrated a significant increase in the total score of the experimental group and the scores of each of the four individual experiments compared to the control group (P < 0.05). To investigate the impact of the new teaching model on students' learning attitudes and patterns, as well as to evaluate teachers' self-efficacy, a questionnaire survey was administered following the course. The SES results showed that students in the experimental group had high performance scores on the two dimensions of learning methods and learning emotions (t = 2.476, t = 2.177; P = 0.015, P = 0.032). Furthermore, in the Biggs questionnaire, the total deep learning score of the experimental group was higher than that of the control group (t = 2.553, P = 0.012), and the deep learning motivation score of the experimental group was higher than that of the control group (t = 2.598, P = 0.011). The TSES questionnaire shows that most teachers think it is easier to manage students and the classroom and easier to implement teaching strategies under this mode. The combination of BOPPPS and the virtual simulation platform effectively enhances the experimental environment for students, thereby improving their academic performance, engagement and learning approach in preventive medicine laboratory courses.

Immortalization of patient-derived lip cells for establishing 3D lip models

IntroductionThe lips fulfill various critical physiological roles besides being viewed as a fundamental aesthetic feature contributing to the perception of health and beauty. Therefore, any lip injury, abnormality, or congenital malformation, such as cleft lip, needs special attention in order to restore proper lip function and aesthetics. To achieve this goal, a better understanding of the complex lip anatomy, function, and biology is required, which can only be provided by basic research endeavors. However, the current lack of clinically relevant human lip cells and three-dimensional in vitro lip models, capable of replacing ethically questionable animal experimentations, represents a significant limitation in this area of research.MethodsTo address these limitations, we aimed to pioneer the introduction of immortalized healthy lip- and cleft lip-derived keratinocytes. Primary keratinocytes were isolated from patients’ samples and immortalized by introducing the catalytic domain of telomerase, combined with the targeted knockdown of the cell cycle inhibitor gene, p16INK4A. We then focused on validating the newly established cell lines by comparing their genetic stability and key phenotypic features with their primary keratinocyte counterparts.ResultsThe newly established immortalized keratinocyte cell lines demonstrated genetic stability and preserved the main phenotypic characteristics of primary keratinocytes, such as cellular morphology and differentiation capacity. Three-dimensional lip models, generated using these cell lines, proved to be effective and convenient platforms for screening applications, including wound healing and microbial infection of the lip epithelium.DiscussionThe establishment of immortalized keratinocytes derived from healthy and cleft lips represents a significant achievement in lip research. These cell lines and the associated three-dimensional lip models are valuable tools that can be used as convenient screening platforms for various assays in a multitude of lip-related research areas, including dermatology, skin care, wound healing, tissue engineering, and craniofacial anomalies. This work opens new avenues in studying lip abnormalities and provides unique tools for personalized medicine approaches beneficial to patients.

Defect dependent electronic properties of WTe2: a first-principles study

Abstract Tungsten ditelluride (WTe2) possesses fascinating electronic structures and exceptional properties that make it highly suitable for use in cutting-edge devices. Defects in WTe2 can have a significant influence on its properties, both in advantageous and disadvantageous ways. Thus, a precise classification is crucial to fully comprehend the potential impacts. Here we report a thorough investigation of the electronic characteristics of intrinsic defects, including point defects, in monolayer WTe2 using first-principles calculations based on density functional theory. Our research suggests that the presence of point defects can cause a notable shift in electronic properties, resulting in a metallic behaviour. This is due to the interesting phenomenon of Fermi-level changing near the band edges. Our research findings indicate that the energy required to form a vacancy in a Te atom is lower compared to that of a vacancy in a W atom. Based on the findings, it appears that Te atom vacancies are more likely to be generated during the synthesis process. Defects like the Te vacancy and Mo substitution in the pristine monolayer of WTe2 result in a subtle reduction in the band gap, while still maintaining its characteristics as a direct band gap semiconductor. Our study reveals that the electronic properties of monolayer WTe2 can be significantly altered by the presence of vacancy defects. This discovery highlights the exciting potential of WTe2 as a promising platform for various electronic applications. Our research is anticipated to have a beneficial impact on the comprehension and control of the characteristics of WTe2, thus expediting the development of nanomaterials in various fields.