Catheter-Assisted Bioinspired Adhesive Magnetic Soft Millirobot for Drug Delivery.

Soft millirobots have evolved into various therapeutic applications in the medical field, including for vascular dredging, cell transportation, and drug delivery, owing to adaptability to their surroundings. However, most soft millirobots cannot quickly enter, retrieve, and maintain operations in their original locations after removing the external actuation field. This study introduces a soft magnetic millirobot for targeted medicine delivery that can be transported into the body through a catheter and anchored to the tissues. The millirobot has a bilayer adhesive body with a mussel-inspired hydrogel layer and an octopus-inspired magnetic structural layer. It completes entry and retrieval with the assistance of a medical catheter based on the difference between the adhesion of the hydrogel layer in air and water. The millirobot can operate in multiple modes of motion under external magnetic fields and underwater tissue adhesion after self-unfolding with the structural layer. The adaptability and recyclability of the millirobots are demonstrated using a stomach model. Combined with ultrasound (US) imaging, operational feasibility within organisms is shown in isolated small intestines. In addition, a highly efficient targeted drug delivery is confirmed using a fluorescence imaging system. Therefore, the proposed soft magnetic millirobots have significant potential for medical applications.

Improving the resolution of Fourier ptychographic imaging using an a priori neural network.

In this paper, we propose a dual-structured prior neural network model that independently restores both the amplitude and phase image using a random latent code for Fourier ptychography (FP). We demonstrate that the inherent prior information within the neural network can generate super-resolution images with a resolution that exceeds the combined numerical aperture of the FP system. This method circumvents the need for a large labeled dataset. The training process is guided by an appropriate forward physical model. We validate the effectiveness of our approach through simulations and experimental data. The results suggest that integrating image prior information with system-collected data is a potentially effective approach for improving the resolution of FP systems.

Nanophotonic inverse design with deep neural networks based on knowledge transfer using imbalanced datasets.

Deep neural networks (DNNs) have been used as a new method for nanophotonic inverse design. However, DNNs need a huge dataset to train if we need to select materials from the material library for the inverse design. This puts the DNN method into a dilemma of poor performance with a small training dataset or loss of the advantage of short design time, for collecting a large amount of data is time consuming. In this work, we propose a multi-scenario training method for the DNN model using imbalanced datasets. The imbalanced datasets used by our method is nearly four times smaller compared with other training methods. We believe that as the material library increases, the advantages of the imbalanced datasets will become more obvious. Using the high-precision predictive DNN model obtained by this new method, different multilayer nanoparticles and multilayer nanofilms have been designed with a hybrid optimization algorithm combining genetic algorithm and gradient descent optimization algorithm. The advantage of our method is that it can freely select discrete materials from the material library and simultaneously find the inverse design of discrete material type and continuous structural parameters of the nanophotonic devices.

Orbital teratoma in the foetus: a rare case without proptosis.

BACKGROUND: Congenital orbital teratoma is relatively rare, and few reports of prenatal ultrasound findings in such cases have been published. CASE PRESENTATION: A rare case of congenital orbital teratoma at 24 + 2 weeks of gestation was previously diagnosed as microphthalmia, noting how orbital teratoma without proptosis is different from microphthalmia, retinoblastoma and intracranial teratoma. Ultrasound examination, analysis of gross specimens, and histopathological evaluation confirmed the diagnosis of orbital teratoma. CONCLUSION: Prenatal ultrasound examination is useful for diagnosis and differential diagnosis of congenital orbital teratoma.

Prenatal findings in a fetus with X-linked recessive type of chondrodysplasia punctata (CDPX1): a case report with novel mutation.

BACKGROUND: X-linked recessive chondrodysplasia punctate (CDPX1) is a rare congenital disorder of bone and cartilage development, caused by a mutation in the arylsulfatase E (ARSE) gene located on chromosome Xp22.3. Although most of the affected men had mild symptoms, some had more severe symptoms, and had a poor prognosis. CASE PRESENTATION: We present the case of a male fetus diagnosed with CDPX1. Ultrasound clearly showed that hypoplasia of the midface, flatness of face, low flatness of the nose, collapse of the tip of the nose, accompanied by severe spinal stenosis and secondary ossification center of the femoral metaphysis appeared in advance. Chromosome analysis of the amniotic fluid cells revealed 46, XY. Whole exome sequencing showed that there was a novel missense mutation of c.640G > A in ARSE gene on X chromosome. Three protein function prediction software FATHMM、Polyphen-2、PROVEAN have shown that the novel missense mutation of c.640G > A in this study was pathogenic. CONCLUSIONS: Our case is a novel mutation and presents a typical characterization of the disease, which can expand the spectrum of mutations of the ARSE gene and is helpful for prenatal ultrasound diagnosis of this disease.

Preparation and photocatalytic properties of porous C and N co-doped TiO2 deposited on brick by a fast, one-step microwave irradiation method.

A one-step microwave irradiation method was used to deposit carbon and nitrogen co-doped TiO2 ((C, N)-TiO2) on commercial brick ((C, N)-TiO2/brick). The as-prepared samples were characterized by X-ray diffraction, ultraviolet-visible (UV-vis) diffuse reflectance spectroscopy, photoluminescence spectroscopy, X-ray photoelectron spectroscopy, and scanning electron microscopy (SEM). A selective technique was also used to investigate the concentration of hydroxyl radicals during UV-vis irradiation of the Methyl Orange solution with the as-prepared samples. The C and N dopants enhanced visible light absorption and provided a longer lifetime for the photo-generated electron-hole pairs. The SEM images showed that the as-prepared sample is porous. The dark adsorption and photodegradation test for (C, N)-TiO2/brick showed good photodegradation and good recyclability. The best photodegradation rate was 94% after 2hr. The maximum degradation rate was maintained even after the 6th cycle. The good photocatalytic properties are attributed to the enhanced visible light absorption, enhanced pollutant adsorption arising from the porous structure of the (C, N)-TiO2 thin film, and longer lifetime of the photo-generated electron-hole pairs. (C, N)-TiO2/brick should have potential commercial applications in photodegradation processes because of its low cost, good photodegradation, and excellent recyclability.

Design and simple synthesis of composite Bi12TiO20/Bi4Ti3O12 with a good photocatalytic quantum efficiency and high production of photo-generated hydroxyl radicals.

Hybrid Bi12TiO20/Bi4Ti3O12 composites with different Bi : Ti molar ratios were successfully fabricated using a one-step solid-state calcination. These samples were characterized using X-ray diffraction, specific surface area analysis, scanning electron microscopy, high-resolution microscopy, selected-area electron diffraction, X-ray photoelectron spectroscopy, UV-vis diffuse reflection spectroscopy, photoluminescence analyses, and photocurrent and electrochemical impedance spectroscopy. Some specified techniques were also used to investigate the photocatalytic properties and the formation of radical species under UV-vis irradiation. The composites provide an efficient pathway for photo-produced electrons and holes to diffuse and transfer to the exterior of the particles for photodegradation, because of the good contact between hybrid Bi12TiO20 and Bi4Ti3O12. Therefore, the hybrid Bi12TiO20/Bi4Ti3O12 can prolong the carrier lifetime as compared to any individual material (Bi12TiO20 or Bi4Ti3O12). In particular, the hybrid Bi12TiO20/Bi4Ti3O12 composite with a Bi : Ti ratio of 12 : 6 had the longest photo-generated carrier lifetime and produced the maximum amount of hydroxyl radicals during UV-vis irradiation; therefore, it demonstrated the best photo-catalytic properties. A Z-scheme mechanism was proposed to explain the hydroxyl radical yield and photodegradation.

Structural analysis of the homodimeric reaction center complex from the photosynthetic green sulfur bacterium Chlorobaculum tepidum.

The reaction center (RC) complex of the green sulfur bacterium Chlorobaculum tepidum is composed of the Fenna-Matthews-Olson antenna protein (FMO) and the reaction center core (RCC) complex. The RCC complex has four subunits: PscA, PscB, PscC, and PscD. We studied the FMO/RCC complex by chemically cross-linking the purified sample followed by biochemical and spectroscopic analysis. Blue-native gels showed that there were two types of FMO/RCC complexes, which are consistent with complexes with one copy of FMO per RCC and two copies of FMO per RCC. Sodium dodecyl sulfate-polyacrylamide gel electrophoresis analysis of the samples after cross-linking showed that all five subunits of the RC can be linked by three different cross-linkers: bissulfosuccinimidyl suberate, disuccinimidyl suberate, and 3,3-dithiobis-sulfosuccinimidyl propionate. The interaction sites of the cross-linked complex were also studied using liquid chromatography coupled to tandem mass spectrometry. The results indicated that FMO, PscB, PscD, and part of PscA are exposed on the cytoplasmic side of the membrane. PscD helps stabilize FMO to the reaction center and may facilitate transfer of the electron from the RC to ferredoxin. The soluble domain of the heme-containing cytochrome subunit PscC and part of the core subunit PscA are located on the periplasmic side of the membrane. There is a close relationship between the periplasmic portions of PscA and PscC, which is needed for the efficient transfer of the electron between PscC and P840.

Site-directed mutagenesis of the highly perturbed copper site of auracyanin D.

Type-1 copper proteins participate in redox reactions and biological catalysis. Significant variation exists within the electronic structure of type-1 copper sites, producing both blue and green proteins. Classical, "blue" sites have been extensively studied, but "green" sites have been poorly characterized. We recently discovered a green copper protein, called auracyanin D. Here, we report a series of axial ligand mutations in auracyanin D, and characterize the resulting spectral and redox changes. The resulting mutants appear blue, green, and red and vary in redox potential from +56mV to +786mV. This is the largest change in redox potential to date for any type-1 center. We found that in this green protein, modifications of the axial ligand produce significantly larger changes than similar mutations in blue type-1 copper sites.

Phenotype Transformation of PitNETs.

Phenotype transformation in pituitary neuroendocrine tumors is a little-known and unpredictable clinical phenomenon. Previous studies have not clearly defined and systematically concluded on the causes of this rare phenomenon. Additionally, the mechanisms of phenotype transformation are not well known. We reviewed cases reported in the literature with the aim of defining phenotype transformation in pituitary neuroendocrine tumors. We present an overview of the wide spectrum of phenotype transformation and its clinical features. We also discuss findings on the potential mechanism of this rare transformation, which may be related to PC1/3, the bioactivity of secretory hormones, gene mutations and the plasticity of pituitary neuroendocrine tumors. Clinicians should be aware of this rare phenomenon and more studies on the underlying mechanisms are required.

Value of foetal umbilical vein standardised blood flow volume in predicting weight gain in the third trimester: a prospective case-cohort study.

Objective: This study aims to establish a prediction model of foetal umbilical vein standardised blood flow volume (sQuv) on estimated foetal weight (EFW) in the third trimester. Methods: A case-cohort study involving 200 eligible normal foetuses was conducted at the Ultrasound Department of Longquanyi District of Maternity and Child Healthcare Hospital between June 1, 2020 and December 31, 2021. Ultrasound measurements were taken at two separate intervals to assess EFW and the rate of EFW (rEFW) [first: between 28 w and 33 w6d of gestational age (GA); second: after 4-6 weeks]. Umbilical vein blood flow volume (Quv) and sQuv (normalised with EFW) were calculated only during the initial measurement. Using general linear regression, a prediction model for EFW based on GA and sQuv was developed, with the gestational week employed as a calibration scalar and validated using linear regression cross-validation. Results: In the third trimester, EFW exhibited significant correlations with GA, abdominal circumference (AC), head circumference (HC) and Quv (all ρ > 0.6, P < 0.001). Furthermore, the rEFW showed significant correlations with Quv and sQuv (all ρ > 0.6, P < 0.001). A linear regression equation was established using a general linear regression model: rEFW = 0.32689 × sQuv. Additionally, a foetal weight prediction model (EFW = -2,554.6770 + 0.9655 × sQuv + 129.6916 × GA) was established using sQuv. The above two formulas were cross-validated by intra-group linear regression and proved to be of good efficacy. Conclusions: In the third trimester, EFW displayed significant correlations with GA, AC, HC and Quv. Additionally, the rEFW exhibited significant correlations with Quv and sQuv. The sQuv during the third trimester has predictive value for foetal weight, serving as an early warning indicator.

A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles.

Flexibility has become increasingly important considering the intermittency of variable renewable energy in low-carbon energy systems. Electrified transportation exhibits great potential to provide flexibility. This article analyzed and compared the flexibility values of battery electric vehicles and fuel cell electric vehicles for planning and operating interdependent electricity and hydrogen supply chains while considering battery degradation costs. A cross-scale framework involving both macro-level and micro-level models was proposed to compute the profits of flexible EV refueling/charging with battery degradation considered. Here we show that the flexibility reduction after considering battery degradation is quantified by at least 4.7% of the minimum system cost and enlarged under fast charging and low-temperature scenarios. Our findings imply that energy policies and relevant management technologies are crucial to shaping the comparative flexibility advantage of the two transportation electrification pathways. The proposed cross-scale methodology has broad implications for the assessment of emerging energy technologies with complex dynamics.

A comprehensive review on celastrol, triptolide and triptonide: Insights on their pharmacological activity, toxicity, combination therapy, new dosage form and novel drug delivery routes.

Celastrol, triptolide and triptonide are the most significant active ingredients of Tripterygium wilfordii Hook F (TWHF). In 2007, the 'Cell' journal ranked celastrol, triptolide, artemisinin, capsaicin and curcumin as the five natural drugs that can be developed into modern medicinal compounds. In this review, we collected relevant data from the Web of Science, PubMed and China Knowledge Resource Integrated databases. Some information was also acquired from government reports and conference papers. Celastrol, triptolide and triptonide have potent pharmacological activity and evident anti-cancer, anti-tumor, anti-obesity and anti-diabetes effects. Because these compounds have demonstrated unique therapeutic potential for acute and chronic inflammation, brain injury, vascular diseases, immune diseases, renal system diseases, bone diseases and cardiac diseases, they can be used as effective drugs in clinical practice in the future. However, celastrol, triptolide and triptonide have certain toxic effects on the liver, kidney, cholangiocyte heart, ear and reproductive system. These shortcomings limit their clinical application. Suitable combination therapy, new dosage forms and new routes of administration can effectively reduce toxicity and increase the effect. In recent years, the development of different targeted drug delivery formulations and administration routes of celastrol and triptolide to overcome their toxic effects and maximise their efficacy has become a major focus of research. However, in-depth investigation is required to elucidate the mechanisms of action of celastrol, triptolide and triptonide, and more clinical trials are required to assess the safety and clinical value of these compounds.

Effectiveness and Safety of Traditional Chinese Medicine in Treatment of Primary Sjögren's Syndrome Patients: A Meta-analysis.

BACKGROUND: Primary Sjögren's Syndrome (pSS) is an autoimmune disease. It can damage the salivary and lacrimal glands and is characterized by dry mouth and eye symptoms, which seriously affects people's normal life. Both modern medicine and Traditional Chinese medicine (TCM) have certain effects in treating SS. However, there are different theories about which treatment is more appropriate. OBJECTIVE: The aim of this research was to compare the efficacy and safety of TCM to Western Medicine in the treatment of pSS. METHODS: We collected randomized controlled trials (RCTs) of TCM, integrating traditional Chinese and Western medicine for the treatment of pSS in Chinese and foreign databases. RESULTS: A total of 13 articles were eventually included with 780 cases. The final results were expressed in odds ratio (OR), mean difference (MD), 95% confidence interval (CI), and overall effect (z). The effective rate was 86.03% in the TCM group and 67.75% in the western medicine group. Results of the effective rate were OR = 3.57; 95% CI = 2.44-5.23; z = 6.56; p＜0.00001, ESR were MD = -6.90; 95% CI = -10.76--3.05; z = 3.51; p = 0.0005＜0.05, Schirmer's test were MD = 3.39; 95% CI = 1.92-4.86; z = 4.5; p＜0.00001, salivary flow were MD = 0.62; 95% CI = 0.16-1.07; z = 2.63; p = 0.009＜0.05, and adverse reactions were OR = 0.35; 95% CI = 0.17-0.72; z = 2.84; p = 0.004. CONCLUSION: TCM has a remarkable effect on the treatment of pSS. Among them Yiguanjian decoction and Liuwei Dihuang decoction were effective prescriptions with the highest frequency of application. Rehmanniae Radix (Rehmannia glutinosa Libosch.) and Ophiopogonis Radix (Ophiopogon japonicus (L. f.) Ker-Gawl.) were the most frequently used TCM.

Interfacial construction of SnS2/Zn0.2Cd0.8S nanopolyhedron heterojunctions for enhanced photocatalytic hydrogen evolution.

ZnCdS, a metal chalcogenide solid solution, has attracted significant attention. However, two primary challenges hinder its widespread application in photocatalytic hydrogen evolution: the rapid recombination rate of photogenerated carriers and susceptibility to photo-oxidation in the aqueous environments. In this article, a facile hydrothermal route was employed for the first time to uniformly assemble SnS2 nanoparticles onto the surface of Zn0.2Cd0.8S (ZCS) nanopolyhedra. The intimate contact of two materials resulted in the formation of heterojunctions. By adjusting the content of SnS2, the hydrogen evolution reaction (HER) performance was optimized to reach up to 12170 µmol/gh, which is 1.9 times of the pristine ZCS. Notably, the photocatalyst demonstrated remarkable stability with an apparent quantum yield (AQY) of 15.5% at 420 nm. The enhanced photocatalytic performance can be attributed to the following factors: (i) The heterojunction composite, with larger surface area and more micropores, provides additional active sites and exhibits high photocatalytic activity; (ii) The internal electric field accelerates the separation of photogenerated carriers and reduces the recombination rate of electron-hole pairs; (iii) The photogenerated holes can be quickly transferred to the valence band of SnS2 and react with triethanolamine, thereby significantly reducing the photo-oxidation of ZCS. This work not only proposed a feasible route to improve the photocatalytic activity of ZCS, but also provided insights into the role of heterojunctions and the reaction mechanism.

Chemical constituents, pharmacological effects, toxicology, processing and compatibility of Fuzi (lateral root of Aconitum carmichaelii Debx): A review.

ETHNOPHARMACOLOGICAL RELEVANCE: The lateral root of Aconitum carmichaelii Debx is known as Fuzi in Chinese. It is traditionally valued and used for dispelling cold, relieving pain effects, restoring 'Yang,' and treating shock despite its high toxicity. This review aims to provide comprehensive information on the chemical composition, pharmacological research, preparation, and compatibility of Fuzi to help reduce its toxicity and increase its efficiency, based on the scientific literature. In addition, this review will establish a new foundation for further studies on Fuzi. MATERIALS AND METHODS: A systematic review of the literature on Fuzi was performed using several resources, namely classic books on Chinese herbal medicine and various scientific databases, such as PubMed, the Web of Science, and the China Knowledge Resource Integrated databases. RESULTS: Fuzi extracts contain diester-type alkaloids, monoester-type alkaloids, other types of alkaloids, and non-alkaloids types, and have various pharmacological activities, such as strong heart effect, effect on blood vessels, and antidepressant, anti-diabetes, anti-inflammatory, pain-relieving, antitumor, immunomodulatory, and other therapeutic effects. However, these extracts can also lead to various toxicities such as cardiotoxicity, neurotoxicity, reproductive toxicity, hepatotoxicity, and embryonic toxicity. In vivo and in vitro experiments have demonstrated that different processing methods and suitable compatibility with other herbs can effectively reduce the toxicities and increase the efficiency of Fuzi. CONCLUSION: The therapeutic potential of Fuzi has been demonstrated in conditions, such as heart failure, various pains, inflammation, and tumors, which is attributed to the diester-type alkaloids, monoester-type alkaloids, other types of alkaloids, and non-alkaloid types. In contrast, they are also toxic components. Proper processing and suitable compatibility can effectively reduce toxicity and increase the efficiency of Fuzi. Thus more pharmacological and toxicological mechanisms on main active compounds are necessary to be explored.

Chemical constituents, pharmacological action, antitumor application, and toxicity of Strychnine Semen from Strychnons pierriana A.W.Hill.: A review.

ETHNOPHARMACOLOGICAL RELEVANCE: The dried and mature seeds of Strychnons pierriana A.W.Hill. have been called Strychnine Semen(S. Semen). It have been used in traditional Chinese medicine for nearly 400 years. In recent decades, scholars at home and abroad have widely used S. Semen in the treatment of tumor diseases, showing good anti-tumor effects. In this paper, the modern research achievements of S. Semen are reviewed, including traditional uses, phytochemistry, pharmacology, and toxicology. AIM OF THE STUDY: In recent years, the research on S. Semen has increased gradually, especially the research on its anti-tumor. This paper not only reviewed the traditional uses, chemical constituents and pharmacological activities of S. Semen, but also comprehensively listed the mechanisms of Strychnos in the treatment of different tumors, providing a review for further research and development of Strychnos resources. MATERIALS AND METHODS: A systematic review of the literature on Fuzi was performed using several resources, namely classic books on Chinese herbal medicine and various scientific databases, such as PubMed, the Web of Science, and the China Knowledge Resource Integrated databases. RESULTS: The main constituents of S. Semen include alkaloids, terpenoids, steroids, and their glycosides. Modern studies have proved that S. Semen has a wide range of pharmacological effects, including anti-inflammatory and analgesic, anti-thrombotic, myocardial cell protection, immune regulation, nerve excitation, and anti-tumor effects. Among them, the anti-tumor effect has been the focus of research in recent years. S. Semen have a certain therapeutic effect on many kinds of tumors, such as liver cancer, colon cancer, and stomach cancer in the digestive system, breast, cervical, and ovarian cancer in the reproductive system, myeloma and leukemia in the blood system, and those in the nervous system and the immune system. CONCLUSION: Strychnine has an inhibitory effect on a variety of tumors. However, modern studies of strychnine are incomplete, and more in-depth studies are needed on its stronger bioactive constituents and potential pharmacological effects. The antitumor effect of Strychnine is worth further exploration.

Salvianolic Acid B: A Review of Pharmacological Effects, Safety, Combination Therapy, New Dosage Forms, and Novel Drug Delivery Routes.

Salvianolic acid B is extracted from the roots and rhizomes of Danshen (Salvia miltiorrhiza Bge., family Labiatae). It is a water-soluble, weakly acidic drug that has demonstrated antitumor and anti-inflammatory effects on various organs and tissues such as the lung, heart, kidney, intestine, bone, liver, and skin and protective effects in diseases such as depression and spinal cord injury. The mechanisms underlying the protective effects of salvianolic acid B are mainly related to its anti-inflammatory, antioxidant, anti- or pro-apoptotic, anti- or pro-autophagy, anti-fibrotic, and metabolism-regulating functions. Salvianolic acid B can regulate various signaling pathways, cells, and molecules to achieve maximum therapeutic effects. This review summarizes the safety profile, combination therapy potential, and new dosage forms and delivery routes of salvianolic acid B. Although significant research progress has been made, more in-depth pharmacological studies are warranted to identify the mechanism of action, related signaling pathways, more suitable combination drugs, more effective dosage forms, and novel routes of administration of salvianolic acid B.

Realistic fault detection of li-ion battery via dynamical deep learning.

Accurate evaluation of Li-ion battery (LiB) safety conditions can reduce unexpected cell failures, facilitate battery deployment, and promote low-carbon economies. Despite the recent progress in artificial intelligence, anomaly detection methods are not customized for or validated in realistic battery settings due to the complex failure mechanisms and the lack of real-world testing frameworks with large-scale datasets. Here, we develop a realistic deep-learning framework for electric vehicle (EV) LiB anomaly detection. It features a dynamical autoencoder tailored for dynamical systems and configured by social and financial factors. We test our detection algorithm on released datasets comprising over 690,000 LiB charging snippets from 347 EVs. Our model overcomes the limitations of state-of-the-art fault detection models, including deep learning ones. Moreover, it reduces the expected direct EV battery fault and inspection costs. Our work highlights the potential of deep learning in improving LiB safety and the significance of social and financial information in designing deep learning models.

Inherent spatiotemporal uncertainty of renewable power in China.

Solar and wind resources are vital for the sustainable energy transition. Although renewable potentials have been widely assessed in existing literature, few studies have examined the statistical characteristics of the inherent renewable uncertainties arising from natural randomness, which is inevitable in stochastic-aware research and applications. Here we develop a rule-of-thumb statistical learning model for wind and solar power prediction and generate a year-long dataset of hourly prediction errors of 30 provinces in China. We reveal diversified spatiotemporal distribution patterns of prediction errors, indicating that over 60% of wind prediction errors and 50% of solar prediction errors arise from scenarios with high utilization rates. The first-order difference and peak ratio of generation series are two primary indicators explaining the uncertainty distribution. Additionally, we analyze the seasonal distributions of the provincial prediction errors that reveal a consistent law in China. Finally, policies including incentive improvements and interprovincial scheduling are suggested.