Traditional Applications Research Articles

‘I promise to pay the bearer’: connecting present and past via a microhistorical examination of an 18th century banker’s diary

ABSTRACT The detailed methods and intense scrutiny of microhistorians have much to offer management and organization scholars and historians. However, traditional applications have placed certain limitations both on how widely applicable they can be and how they can be related to current preoccupations. This paper introduces the concept of a ‘back bearing’ which is designed to enhance the utility of microhistory in management and organization history in two ways. First, it offers a way of extending any period under review, linking the synchronic to the diachronic by locating a historical source which falls under a line traced backward from contemporary research. This opens up a wider range of historical periods for consideration while at the same time providing a method for justifying what is legitimately relevant. Second, by remaining true to the microhistorians’ focus on detailed scrutiny of individual sources otherwise left on the margins of history, it enables richer theoretical development linking past to present through the lives of individuals. In this case, a line taken from the study of 20th century banking practices back to the diary of an 18th century Edinburgh banker foregrounds what really matters to a banker who is quite literally under fire.

Rehmannia glutinosa DC.-Lilium lancifolium Thunb. in the treatment of depression: a comprehensive review and perspectives

BackgroundIn recent years, the incidence of depression, recognized as a serious psychological disorder, has escalated rapidly. Rehmannia glutinosa DC. (Scrophulariaceae; Rehmanniae Radix, Crude drug) and Lilium lancifolium Thunb. (Liliaceae; Lilii bulbus, Crude drug) constitute a classic anti-depressant combination, exhibiting pharmacological effects that include anti-depressive, anti-anxiety, and anti-inflammatory properties. Current clinical studies have demonstrated that Baihe Dihuang Decoction, a traditional Chinese herbal compound, is effective in treating depression. However, the majority of scholars have predominantly examined Rehmannia glutinosa and Lilium in isolation, and a comprehensive elucidation of their principal active metabolites and pharmacological mechanisms remains lacking.MethodsA comprehensive literature search was conducted as of 29 September 2024, utilizing databases such as PubMed, CNKI, Wanfang Data, Baidu Scholar, and Google Scholar. Additionally, classical texts on Chinese herbal medicine, the Chinese Pharmacopoeia, as well as doctoral and master’s theses, were included in the collected materials. The search employed specific terms including “R. glutinosa,” “Lilium,” “Baihe Dihuang decoction,” “application of Baihe Dihuang decoction,” “pathogenesis of depression,” and “pharmacological action and mechanism of depression.ResultsThis paper reviewed the traditional applications and dosages of the R. glutinosa-Lilium as documented in Chinese medical classics, thereby establishing a foundation for the contemporary development and clinical application of the classical formula Baihe Dihuang Decoction. Additionally, recent years have seen a comprehensive review of the pharmacological effects and mechanisms of R. glutinosa-Lilium and its principal metabolites in the context of depression.ConclusionThis paper has reviewed the active metabolites of R. glutinosa-Lilium and demonstrated its efficacy in the treatment of depression, as well as its role in modulating the underlying mechanisms of the disorder. The findings aim to serve as a reference for further research into the mechanisms of depression, its clinical applications, and the development of novel therapeutic agents.

Floral Elegance Meets Medicinal Marvels: Traditional Uses, Phytochemistry, and Pharmacology of the Genus Lagerstroemia L.

The genus Lagerstroemia L. (Lythraceae), known for its exquisite flowers and prolonged flowering period, is commonly employed in traditional medicinal systems across Asian countries, where it has always been consumed as tea or employed to address ailments such as diabetes, urinary disorders, coughs, fevers, inflammation, pain, and anesthesia. Its diverse uses may be attributed to its rich active ingredients. Currently, at least 364 biological compounds have been identified from Lagerstroemia extracts, encompassing various types such as terpenes, flavonoids, phenolic acids, alkaloids, and phenylpropanoids. Extensive in vitro and in vivo experiments have examined the pharmacological activities of different extracts, revealing their potential in various domains, including but not limited to antidiabetic, anti-obesity, antitumor, antimicrobial, antioxidant, anti-inflammatory, analgesic, and hepatoprotective effects. Additionally, 20 core components have been proven to be associated with antidiabetic and hypoglycemic effects of Lagerstroemia. Overall, Lagerstroemia exhibit substantial medicinal potential, and the alignment between its traditional applications and contemporary pharmacological findings present promising opportunities for further investigation, particularly in food and health products, drug development, herbal teas, and cosmetics. However, evidence-based pharmacological research has largely been confined to in vitro screening and animal model, lacking clinical trials and bioactive compound isolations. Consequently, future endeavors should adopt a more holistic approach.

In vivo evaluation of anti-diarrheal activity of hydroalcoholic extract and solvent fractions of the leaf of Leucas deflexa Hook.f (Lamiaceae) in rodents

The emergence of antibiotic-resistant bacteria has intensified the search for novel antidiarrheal drug. Plant-derived extracts offer promising alternatives due to their ability to modulate gut motility and enhance water absorption. The leaves of Leucas deflexa Hook.f., a plant native to Ethiopia, have been traditionally utilized in the treatment of diarrheal diseases. Nonetheless, its traditional application has yet to be scientifically confirmed. Hence, the aim of the present study was to evaluate antidiarrheal activity of the crude extract and fractions of the leaf of Leucas deflexa Hook.f (Lamiaceae). Healthy Swiss albino mice were randomly divided into five groups per experimental model: castor oil-induced diarrhea, gastrointestinal motility, and anti-enteropooling assays. The control group received distilled water (10ml/kg), while the positive control was treated with loperamide (3mg/kg). The remaining groups were administered various dosages (LD100, LD200, and LD400 mg/kg) of a hydroalcoholic extract or its fractions from Leucas deflexa Hook.f. The crude extract and chloroform fraction substantially (P<0.001) delayed the onset of diarrhea, reduced fecal frequency, and decreased total fecal weight at all administered doses compared to the negative control. The butanol and aqueous fractions exhibited a substantial antidiarrheal effect at doses of 200mg/kg and 400mg/kg, respectively. All treatments, including the crude extract, chloroform, butanol, and aqueous fractions, substantially (P<0.001) reduced the volume and weight of intestinal contents at various doses. Additionally, the chloroform, aqueous fraction, and crude extract at doses of 100, 200, and 400mg/kg substantially inhibited gastrointestinal motility compared to the negative control. The results of this study corroborate the traditional use of Leucas deflexa leaves in the treatment of diarrhea. These findings give a scientific justification for further exploration of the underlying mechanisms and potential therapeutic applications of this plant extract.

Teaching Reform and Practice Based on Four Dimensions and One Penetration for Sensing and Detection Technology

Sensing and Detection Technology is a core course in engineering specialties. Traditional sensor teaching methods have obvious deficiencies in cultivating students’ ability. To better foster students’ comprehensive qualities, this study explored a 4D1P (Four Dimensions and One Penetration) teaching mode. We independently developed an industrial sensor teaching platform with intellectual property rights, integrating classroom and sensor experiments to address the disconnection between traditional sensor teaching and practical application. This mode combined the teaching platform with SPOC (small private online courses) and Rain Classroom teaching software, enriching classroom teaching and stimulating students’ interest. By applying industry-academia-research integration to sensor teaching, students’ horizons were broadened and their creative thinking enriched. The mode set up discussion-based learning in the classroom, making the class atmosphere lively. Throughout the teaching process, data-driven learning and teaching evaluation were consistently applied, allowing teachers to promptly understand students’ learning situations. Data shows that under the backdrop of the COVID-19 pandemic, students’ grades improved and they were satisfied with this teaching mode. This mode solves most current problems in university classroom teaching and significantly enhances students’ practical abilities. It also has certain significance for education in other disciplines.

Optimized Phosphorus Application Enhances Wheat Stem Lodging Resistance Under Spring Low-Temperature Stress

Spring low-temperature stress (LTS) has become a major limiting factor for the development of high yield, quality and efficiency in wheat production. It not only affects the function of wheat leaves and the development of spikes but also impacts stem lodging resistance, and may experience elevated risk of stem lodging. This study conducted a field pot experiment to assess the effect of phosphorus fertilizer application mode on wheat stem lodging resistance under spring LTS. Two wheat varieties, Yannong19 (YN19, cold-tolerant variety) and Xinmai26 (XM26, cold-sensitive variety) used as the experiment material. Two phosphorus fertilizer application models including traditional phosphorus application (TPA) and optimized phosphorus application (OPA) were employed. Temperature treatment was conducted at 15 °C (CK) and −4 °C (LT) in a controlled phytotron. Our results showed that spring LTS decreased the stem wall thickness and internode fullness, and altered stem anatomical structure and chemical composition, resulting in a decrease in wheat stem mechanical strength and lodging resistant index. Compared with TPA, the OPA increased the stem wall thickness and internode fullness. The thickness of the stem mechanic tissue layer and parenchymatous tissue, and the area of the large vascular bundle and small vascular bundle were increased by the OPA, which alleviated the damage to stem cell walls caused by spring LTS. At the same time, the OPA also increased the contents of lignin, cellulose, and soluble sugar, improving the C/N ratio in wheat stem. Due to the improved stem morphological characteristics, anatomical structure, and chemical compositions, the wheat stem exhibited enhanced lodging resistance, which increased the lodging resistant index of the 2nd and 3rd internodes of YN19 and XM26 by 27.27%, 11.63% and 14.15%, 15.73% at the dough stage compared with TPA under spring LTS. Meanwhile, OPA could not only alleviate the yield loss caused by spring LTS, but also increase the grain yield without spring LTS. This study indicated that OPA enhances wheat stem lodging resistance under spring LTS, and would be meaningful and practical for improving wheat resistance to low-temperature stress.

M2CS: A Microwave Measurement and Control System for Large-scale Superconducting Quantum Processors

Abstract As superconducting quantum computing continues to advance at an unprecedented pace, there is a compelling demand for the innovation of specialized electronic instruments that act as crucial conduits between quantum processors and host computers. Here, we introduce a Microwave Measurement and Control System (M2CS) dedicated for large-scale superconducting quantum processors. M2CS features a compact modular design that balances overall performance, scalability and flexibility. Electronic tests of M2CS show key metrics comparable to commercial instruments. Benchmark tests on transmon superconducting qubits further show qubit coherence and gate fidelities comparable to state-of-the-art results, confirming M2CS’s capability to meet the stringent requirements of quantum experiments run on intermediate-scale quantum processors. The compact and scalable nature of our design holds the potential to support over 1000 qubits after upgrade in stability and integration. The M2CS architecture may also be adopted to wider range of scenarios, including other quantum computing platforms such as trapped ions and silicon quantum dots, as well as more traditional applications like microwave kinetic inductance detectors, phased array radar systems.

Pharmacognostic, phytochemical and pharmacological activities of Ocimum kilimandscharicum Guerke

The family Lamiaceae encompasses a diverse array of therapeutic plants, with the genus Ocimum being particularly esteemed. The plant known as Kapur Tulsi in India, Ocimum kilimandscharicum Guerke is a perennial woody shrub characterized by its essential oil, which predominantly contains camphor, along with linalool, limonene, eugenol, 1,8-cineole, and camphene. This review aims to provide current information on the taxonomy, botany, distribution, ethnomedicinal uses, phytochemistry, pharmacology, and toxicological profile of O. kilimandscharicum. The information presented was critically analyzed to understand the current research on this species and to explore potential future opportunities for this plant in pharmaceutical research. A comprehensive literature search was conducted and relevant information was collected through an extensive exploration of bibliographic databases, including Google Scholar, ScienceDirect, PubMed, Web of Science, Semantic Scholar, Europe PMC, and Scopus. The literature suggests that the plant contains a range of compounds that underpin its broad spectrum of pharmacological effects. These phytoconstituents have been widely employed in the treatment and management of numerous conditions. This review consolidates the latest information on its phytochemical and pharmacological activities, traditional applications, and scientific research. The review highlights the significant phytoconstituents of Ocimum kilimandscharicum Guerke and summarizes the evidence supporting its pharmacological potential. The findings suggest that the plant's diverse compounds contribute to its extensive use in traditional medicine and underscore its potential for therapeutic applications in various diseases.

Passive Inclination Sensor Based on a Patch Antenna with a Reconfigurable Water Load.

In order to ensure the safety and preserve the value of historical buildings, inclination is an essential parameter during the continuous structural health monitoring process. However, the wire and price of a traditional sensor limit application. This paper proposes a low-cost inclination sensor based on a patch antenna with a reconfigurable water load. Only the water directly on the antenna is considered effective. The different volume of the effective water load, which is determined by the inclination of the attached surface, will affect the effective permittivity of the dielectric plate of the patch antenna, further causing a variation in the resonant frequency. Therefore, the proposed antenna sensor can monitor the inclination of the attached surface by interrogating the resonant frequency. The working mechanism is first clarified by theoretically investigating the relationship between the dielectric properties and the inclination of the covering medium. The antenna sensor is then simulated using High-Frequency Structure Simulator ver.15 (HFSS 15), which helps to determine geometric parameters and confirm accuracy and sensitivity. An experiment has been conducted based on the design verified in the simulation. The inclination detection shows a correlation coefficient of 0.9771 with a sensitivity of 7.92 MHz/°, indicating a potential for real application.

Gymnema lactiferum: A Review of Its Traditional Applications, Phytochemical Constituents, and Biological Properties

ABSTRACTHumanity has a longstanding reliance on natural plants for medicinal purposes, and Gymnema lactiferum (G. lactiferum) has emerged as a medicinal plant with deep‐rooted traditional usage. Throughout history, this plant has been an integral part of traditional medical systems, demonstrating diverse therapeutic effects. Notably, among these effects is its ability to decrease blood glucose concentration in diabetic patients, impart cooling effects, serve as an anabolic and rehydrating agent, stimulate spermiogenesis, and exhibit wormicidal properties. Furthermore, G. lactiferum has been used in treating conditions such as hemorrhoids cancers, anorexia, and as a cardiac stimulant. The primary objective of this review is to comprehensively gather and critically assess research findings regarding the medicinal properties of G. lactiferum, specifically emphasizing the bioactive compounds responsible for these properties. Previous studies have documented the presence of various phytochemicals in G. lactiferum, which are associated with some biological activities, including antioxidative, anti‐hyperglycemic, cholesterol‐regulating, and anti‐inflammatory properties. Additionally, this review explores potential future applications for this plant. Beyond its medicinal significance, extracts derived from G. lactiferum demonstrate promise for future nutritional applications. This review highlights the potential use of G. lactiferum as an herbal medicine by critically assessing research on its medicinal value.

Targeted weed management of Palmer amaranth using robotics and deep learning (YOLOv7).

Effective weed management is a significant challenge in agronomic crops which necessitates innovative solutions to reduce negative environmental impacts and minimize crop damage. Traditional methods often rely on indiscriminate herbicide application, which lacks precision and sustainability. To address this critical need, this study demonstrated an AI-enabled robotic system, Weeding robot, designed for targeted weed management. Palmer amaranth (Amaranthus palmeri S. Watson) was selected as it is the most troublesome weed in Nebraska. We developed the full stack (vision, hardware, software, robotic platform, and AI model) for precision spraying using YOLOv7, a state-of-the-art object detection deep learning technique. The Weeding robot achieved an average of 60.4% precision and 62% recall in real-time weed identification and spot spraying with the developed gantry-based sprayer system. The Weeding robot successfully identified Palmer amaranth across diverse growth stages in controlled outdoor conditions. This study demonstrates the potential of AI-enabled robotic systems for targeted weed management, offering a more precise and sustainable alternative to traditional herbicide application methods.

A Systematic Review of Ship Wake Detection Methods in Satellite Imagery

The field of maritime surveillance is one of great strategical importance from the point of view of both civil and military applications. The growing availability of spaceborne imagery makes it a great tool for ship detection, especially when paired with information from the automatic identification system (AIS). However, small vessels can be challenging targets for spaceborne sensors without relatively high resolution. Moreover, when faced with non-cooperative targets, hull detection alone is insufficient for obtaining critical information like target speed and heading. The wakes generated by the movement of ships can be used to solve both of these issues. Several interesting solutions have been developed over the years, based on both traditional and learning-based methodologies. This review aims to provide the first thorough overview of ship wake detection solutions, highlighting the key ideas behind traditional applications, then covering more innovative applications based on deep learning (DL), to serve as a solid starting point for present and future researchers interested in the field.

Mapping coastal resilience: a Gis-based Bayesian network approach to coastal hazard identification for Queensland’s dynamic shorelines

Coastal regions worldwide face increasing threats from climate change-induced hazards, necessitating more accurate and comprehensive vulnerability assessment tools. This study introduces an innovative approach to coastal vulnerability assessment by integrating Bayesian Networks (BN) with the modern coastal vulnerability (CV) framework. The resulting BN-CV model was applied to Queensland's coastal regions, with a particular focus on tide-modified and tide-dominated beaches, which constitute over 85% of the studied area. The research methodology involved beach classification based on morphodynamic characteristics, spatial subdivision of Queensland's coast into 78 sections, and the application of the BN-CV model to analyze interactions between geomorphological features and oceanic dynamics. This approach achieved over 90% accuracy in correlating beach types with vulnerability factors, significantly outperforming traditional CVI applications. Key findings include the identification of vulnerability hotspots and the creation of detailed exposure and sensitivity maps for Gold Coast City, Redland City, Brisbane City, and the Sunshine Coast Regional area. The study revealed spatial variability in coastal vulnerability, providing crucial insights for targeted management strategies. The BN-CV model demonstrates superior precision and customization capabilities, offering a more nuanced understanding of coastal vulnerability in regions with diverse beach typologies. This research advocates for the adoption of the BN-CV approach to inform tailored coastal planning and management strategies, emphasizing the need for regular reassessments and sustained stakeholder engagement to build resilience against climate change impacts.Recommendations include prioritizing adaptive infrastructure in high-exposure areas like the Gold Coast, enhancing flood management in Brisbane, improving socio-economic adaptive capacity in Redland, and maintaining natural defences in Moreton Bay. This study contributes significantly to the field of coastal risk management, providing a robust tool for policymakers and coastal managers to develop more effective strategies for building coastal resilience in the face of climate change.

Innovative omics strategies in fermented fruits and vegetables: Unveiling nutritional profiles, microbial diversity, and future prospects.

Fermented fruits and vegetables (FFVs) are not only rich in essential nutrients but also contain distinctive flavors, prebiotics, and metabolites. Although omics techniques have gained widespread recognition as an analytical strategy for FFVs, its application still encounters several challenges due to the intricacies of biological systems. This review systematically summarizes the advances, obstacles and prospects of genomics, transcriptomics, proteomics, metabolomics, and multi-omics strategies in FFVs. It is evident that beyond traditional applications, such as the exploration of microbial diversity, protein expression, and metabolic pathways, omics techniques exhibit innovative potential in deciphering stress response mechanisms and uncovering spoilage microorganisms. The adoption of multi-omics strategies is paramount to acquire a multidimensional network fusion, thereby mitigating the limitations of single omics strategies. Although substantial progress has been made, this review underscores the necessity for a comprehensive repository of omics data and the establishment of universal databases to ensure precision in predictions. Furthermore, multidisciplinary integration with other physical or biochemical approaches is imperative, as it enriches our comprehension of this intricate process.

Nerium oleander Cultivation in Tamil Nadu, India: An Exploratory Study

In Indian traditional medicine, Nerium oleander is a significant medicinal herb. This plant has the potential to be fatal in many situations; poisoning cases have been documented in tropical and subtropical regions of the world, and suicide cases are common in South Asian nations, particularly in India and Sri Lanka. The plant is hazardous in all sections and contains a range of cardiac glycosides, such as gentiobiosyl, neriin, oleandrin, cardenolides, and odoroside. Additionally, this plant species produces secondary metabolites with medicinal uses, including steroids, flavonoids, and alkaloids. Antibacterial, anthelmintic, anti-inflammatory, hepatoprotective, immunopotential, anti-pyretic, antioxidant, antifungal, anticancer, and anti-HIV activity are among the significant pharmacological activities. Nerium indicum is also highly well-liked for its traditional medical applications, which include treating inflammation, wound healing, cancer, asthma, corns, heart disease, and epilepsy. Its bloom is the source of a green dye that is used to cure skin conditions, promote wound healing, and have anti-inflammatory properties. Both ultrasonic transesterification and the magnetic stirrer method have been utilized to produce biodiesel from nerium oleander oil. When administered topically, Nerium oleander's special qualities also have a notable age-defying effect. Nerium oleander to acquire several C and N compounds as well as heavy metals that are frequently produced by cars, including as Pb, Cd, Ni, and Zn. Based on the significance of nerium, the study was conducted in the Kanyakumari district of Tamil Nadu, where there is a greater area dedicated to nerium plant cultivation. The study's focus was on the factors that influence nerium cultivation, the factors that contribute to the volatility of nerium prices, and the challenges that farmers face in terms of production and marketing.

Bio-printing method as a novel approach to obtain a fibrin scaffold settled by limbal epithelial cells for corneal regeneration

Treatment of Limbal Stem Cell Deficiency (LSCD), based on autologous transplantation of the patient’s stem cells, is one of the few medical stem cell therapies approved by the European Medicines Agency (EMA). It relies on isolating and culturing in vivo Limbal Epithelial Stem Cells (LESC) and then populating them on the fibrin substrate, creating a scaffold for corneal epithelial regeneration. Such a solution is then implanted into the patient’s eye. The epithelial cell culture process is specific, and its results strongly depend on the initial cell seeding density. Achieving control of the density and repeatability of the process is a desirable aim and can contribute to the success of the therapy. The study aimed to test bioprinting as a potential technique to increase the control over LESCs seeding on a scaffold and improve process reproducibility. Cells were applied to 0.5 mm thick, flat, transparent fibrin substrates using extrusion bioprinting; the control was the traditional manual application of cells using a pipette. The use of 3D printer enabled uniform coverage of the scaffold surface, and LESCs density in printed lines was close to the targeted value. Moreover, printed cells had higher cell viability than those seeded traditionally (91.1 ± 8.2% vs 82.6 ± 12.8%). The growth rate of the epithelium was higher in bioprinted samples. In both methods, the epithelium had favorable phenotypic features (p63 + and CK14 +). 3D printing constitutes a promising approach in LSCD therapy. It provides favorable conditions for LESCs growth and process reproducibility. Its application may lead to reduced cell requirements, thereby to using fewer cells on lower passages, which will contribute to preserving LESCs proliferative potential.

Large language models and their applications in bioinformatics

Recent advancements in Natural Language Processing (NLP) have been significantly driven by the development of Large Language Models (LLMs), representing a substantial leap in language-based technology capabilities. These models, built on sophisticated deep learning architectures, typically transformers, are characterized by billions of parameters and extensive training data, enabling them to achieve high accuracy across various tasks. The transformer architecture of LLMs allows them to effectively handle context and sequential information, which is crucial for understanding and generating human language. Beyond traditional NLP applications, LLMs have shown significant promise in bioinformatics, transforming the field by addressing challenges associated with large and complex biological datasets. In genomics, proteomics, and personalized medicine, LLMs facilitate identifying patterns, predicting protein structures, or understanding genetic variations. This capability is crucial, e.g., for advancing drug discovery, where accurate prediction of molecular interactions is essential. This review discusses the current trends in LLMs research and their potential to revolutionize the field of bioinformatics and accelerate novel discoveries in the life sciences.

Research progress of traditional Chinese medicine compound "Chaihu Shugan Powder" in the treatment of premenstrual syndrome.

This paper aims to conduct a comprehensive and insightful review and analysis of the potential targets and corresponding pathways of Chaihu Shugan Powder (CSP) for the treatment of premenstrual syndrome (PMS) using a network pharmacology approach. The review will encompass traditional applications, active ingredients of Chinese medicines, clinical applications, pharmacological mechanisms, and active ingredients. The active ingredients, pharmacological mechanisms, and clinical applications of the herbal ingredients in the CSP formulation were summarized by searching the literature, and the main signaling pathways of the CSP formulation for the treatment of PMS were identified by network pharmacological studies. CSP is a representative traditional Chinese medicine formula known for its liver detoxification properties and its effectiveness in alleviating depression. It is also recognized as one of the most widely used formulas for treating PMS. In this study, we systematically summarized the active ingredients and pharmacological mechanisms of the 7 traditional Chinese medicine components present in CSP. Through network pharmacology analysis, we identified 75 common targets of CSP relevant to the treatment of PMS. These targets were predominantly concentrated within 17 specific signaling pathways, elucidating the potential molecular mechanisms underlying CSP's therapeutic effects on PMS. In this paper, we have reviewed CSP and PMS, investigated the potential targets and corresponding pathways of CSP for the treatment of PMS, and systematically summarized the active ingredients and pharmacological mechanisms of 7 herbal components. In addition, 17 pathways of CSP for PMS were identified for future research and clinical application. However, the specific mechanism of action of CSP for the treatment of PMS is only based on literature and online pharmacological studies, and no basic or clinical experiments have been conducted. In addition, CSP has many components with complex and varied interactions, and the effects of certain compounds may be overlooked. Based on the present findings, it is beneficial to further explore the mechanism of action of the new effector compounds and the prospect of their application in basic research and clinical trials. In conclusion, the revelation of new effector compounds and mechanisms of action is conducive to the further clinical application of CSP, the discovery of new targets for PMS, and the modernization of Chinese medicine.

Sardine Processing Waste: Biological Treatment Strategies and Their Implications

This study explores sustainable methods for Sardine Processing Waste (SPW) valorization. Two approaches were investigated: (a) SPW microbial pretreatment adding Saccharomyces cerevisiae or Bacillus sp. in a two-stage anaerobic digestion (AD) for enzyme and biomethane production and (b) a single-stage AD without SPW pretreatment. Both S. cerevisiae and Bacillus sp. secreted proteases (0.66 and 0.58 U mL−1, respectively) and lipases (3.8 and 4.3 U mL−1, respectively) during hydrolysis, thus reducing viscosity (2.8 and 2.9 cP, respectively) compared with the untreated SPW (4.1 cP). Biomethane production was higher in the single-stage AD (1174 mL CH4 g−1 VS−1) when compared with the two-stage AD (821.5 and 260 mL CH4 g−1 VS−1 with S. cerevisiae and Bacillus sp., respectively). S. cerevisiae addition enhanced SPW degradation as implied by VS and sCOD values (70 and 84%, respectively), but this also resulted in a higher toxicity due to a three-fold increment in NH4-N content, reducing methanogen activity. This research demonstrates the innovative application of S. cerevisiae, a common bread-making yeast, in the biotechnological enhancement of SPW hydrolysis. Non-genetically engineered S. cerevisiae not only co-produced proteases and lipases but also significantly improved solubilization, degradation, and viscosity reduction, thereby rendering the yeast a key player in solid fish waste valorization, beyond its traditional applications.

Design of a Conformal Ablation System Based on Independent Control of Radiofrequency Electrode Arrays

This study aims to develop an independent control system for radiofrequency electrode arrays, intended for the conformal ablation of unwanted tissues. Unlike traditional single radiofrequency voltage applications, this study employs high-frequency transformer isolation and radiofrequency load matching technologies to divide the radiofrequency signal source into eight independent groups. Each group operates at the same phase and frequency but with different voltage values. Experimental results indicate that the designed system can independently output various combinations of radiofrequency signals. The actual output voltage has a relative error controlled within 6%, the frequency error is less than 0.5%, and the phase difference among the groups is less than 1°. In the biomimetic tissue heating experiments, it is found that by controlling the voltage of each electrode within the electrode array, ablation of different shapes can be achieved, and the ablation depth is positively correlated with the applied radiofrequency voltage.