Water Actuated Reversible Shape-Memory Polydimethylsiloxane for Potential Biomedical Application

Shape memory polymers (SMPs) show great potential in biomedical fields. However, most of the SMPs are not suitable for use in human body due to their deleteriousness and harsh actuation...

A Deep-Learning Error Detection System in Radiation Therapy

Delivering radiation therapy based on erroneous or corrupted treatment plan data has previously and unfortunately resulted in severe, sometimes grave patient harm. Aiming to prevent such harm and improve safety in radiation therapy treatment, this work introduces a novel, yet intuitive algorithm for strategically structuring the complex and unstructured data typical of modern treatment plans so their treatment sites may automatically be verified with deep-learning architectures. The proposed algorithm utilizes geometric and dose plan parameters to represent each plan's data as a heat map to feed a deep-learning classifier that will predict the plan's treatment site. Once it is returned by the classifier, a plan's predicted site can be compared to its documented intended site, and a warning raised should the two differ. Using real head-neck, breast, and prostate treatment plan data retrieved at two hospitals in the United States, the algorithm is evaluated by observing the accuracy of convolutional neural networks (ConvNets) in correctly classifying the structured heat map data. Many well-known ConvNet architectures are tested, and ResNet-18 performs the best with a testing accuracy of 97.8% and 0.979 F-1 score. Clearly, the heat maps generated by the proposed algorithm, despite using only a few of the many available plan parameters, retain enough information for correct treatment site classification. The simple construction and ease of interpretation make the heat maps an attractive choice for classification and error detection.

Constraints on Heavy Decaying Dark Matter from 570 Days of LHAASO Observations

The kilometer square array (KM2A) of the large high altitude air shower observatory (LHAASO) aims at surveying the northern γ-ray sky at energies above 10 TeV with unprecedented sensitivity. γ-ray observations have long been one of the most powerful tools for dark matter searches, as, e.g., high-energy γ rays could be produced by the decays of heavy dark matter particles. In this Letter, we present the first dark matter analysis with LHAASO-KM2A, using the first 340 days of data from 1/2-KM2A and 230 days of data from 3/4-KM2A. Several regions of interest are used to search for a signal and account for the residual cosmic-ray background after γ/hadron separation. We find no excess of dark matter signals, and thus place some of the strongest γ-ray constraints on the lifetime of heavy dark matter particles with mass between 10^{5} and 10^{9}  GeV. Our results with LHAASO are robust, and have important implications for dark matter interpretations of the diffuse astrophysical high-energy neutrino emission.

Protocol for doping of an Sn-based two-dimensional perovskite semiconductor by incorporating SnI4 for field-effect transistors and thermoelectric devices

Doping is an important technique for semiconductor materials, yet effective and controllable doping of organic-inorganic halide perovskites is still a challenge. Here, we present a protocol to dope 2D perovskite (PEA)₂SnI₄ by incorporating SnI₄ in the precursor solutions. We detail steps for preparation of field-effect transistors (FETs) and thermoelectric devices (TEs) based on SnI₄-doped (PEA)₂SnI₄ films. We further describe characterization via conductivity measurement using the four-point probe method, FETs performance, and TEs performance measurements. For complete details on the use and execution of this protocol, please refer to Liu et al. (2022).¹.

Antimony release and volatilization from rice paddy soils: Field and microcosm study

The fate of antimony (Sb) in submerged soils and the impact of common agricultural practices (e.g., manuring) on Sb release and volatilization is understudied. We investigated porewater Sb release and volatilization in the field and laboratory for three rice paddy soils. In the field study, the porewater Sb concentration (up to 107.1 μg L^-1) was associated with iron (Fe) at two sites, and with pH, Fe, manganese (Mn), and sulfate (SO₄^2-) at one site. The surface water Sb concentrations (up to 495.3 ± 113.7 μg L^-1) were up to 99 times higher than the regulatory values indicating a potential risk to aquaculture and rice agriculture. For the first time, volatile Sb was detected in rice paddy fields using a validated quantitative method (18.1 ± 5.2 to 217.9 ± 160.7 mg ha^-1 y^-1). We also investigated the influence of two common rice agriculture practices (flooding and manuring) on Sb release and volatilization in a 56-day microcosm experiment using the same soils from the field campaign. Flooding induced an immediate, but temporary, Sb release into the porewater that declined with SO₄^2-, indicating that SO₄^2- reduction may reduce porewater Sb concentrations. A secondary Sb release, corresponding to Fe reduction in the porewater, was observed in some of the microcosms. Our results suggest flooding-induced Sb release into rice paddy porewaters is temporary but relevant. Manuring the soils did not impact the porewater Sb concentration but did enhance Sb volatilization. Volatile Sb (159.6 ± 108.4 to 2237.5 ± 679.7 ng kg^-1 y^-1) was detected in most of the treatments and was correlated with the surface water Sb concentration. Our study indicates that Sb volatilization could be occurring at the soil-water interface or directly in the surface water and highlights that future works should investigate this potentially relevant mechanism.

[Characteristics analysis of oral clinical trials registered in Chinese Clinical Trial Registry]

Objective: To investigate the project characteristics of oral clinical trials registered in Chinese Clinical Trial Registry (ChiCTR), and to provide reference for medical institutions to improve the quality of oral clinical trials and formulate management systems. Methods: The ChiCTR database was retrieved to collect all the oral-related clinical trials from the time of database establishment to July 25, 2021. Those clinical trials were analyzed statistically in respect of name of registered project, registration time, registration status, regional distribution of research institutions, approval status by ethics committee, sample size, source of funds, involved disease, research type and design, randomization method, and whether blind method was adopted. Results: A total of 778 oral clinical trials, which studied mainly in the oral and maxillofacial diseases, periodontal tissue diseases, oral implant diseases, oral mucosal diseases, and oral prosthetic diseases, were retrieved in the database. Beijing, Sichuan, Shanghai, Guangdong and Hubei were major regions where oral clinical trials were carried out, accounting for 69.68% (772/1 108) of the total. The top four funding sources were hospital finance [24.93% (186/746)], local government finance [22.39% (167/746)], self-financing [17.69% (132/746)], and national finance [12.47% (93/746)]. For the types of researches, 520 interventional studies and 244 observational studies were identified (accounting for 66.84% and 31.36%, respectively). The research designs were dominated by ways of randomized control (381, 48.97%), of which 240 (62.99%) trials were with missing or unspecified blinding methods. Conclusions: Oral clinical trials are increasing year by year, but they are regionally imbalanced, and still need to be further improved in registration information and research design. Administrative departments should pay more attention to strengthen the publicity and education on the registration and publication mechanism of clinical trials, and enhance researchers' cognitions in clinical trials registration and clinical trials design.

Radiological features of Rosai-Dorfman disease: case series and review of the literature

AIM

To improve the accuracy of diagnosis of Rosai-Dorfman disease (RDD) by summarising the computed tomography (CT) and magnetic resonance imaging (MRI) characteristics.

MATERIALS AND METHODS

The clinical manifestations, imaging findings, and pathological characteristics of 14 patients with histopathologically confirmed RDD were analysed retrospectively and a literature review was undertaken.

RESULTS

Of the 14 patients, nine had multiple lesions and five had single lesions. Eight patients had extranodal lesions, while six had mixed-type lesions. In patients with head and neck lesions, plain CT/MRI revealed irregularly shaped, well-defined, homogeneous, and mainly progressive lesions, with marked homogeneous enhancement on multiphasic contrast-enhanced imaging. One patient had dural lesions, one of which iso-intense to grey matter, with patchy hypo-intensity on T2-weighted imaging, meningeal tail signs, and characteristic crabfoot-like enhancement. Three patients with skeletal system involvement exhibited osteolytic bone destruction without sclerosis at the edges, associated soft-tissue masses, or periosteal reactions. Two patients had well-defined subcutaneous lesions, inhomogeneous density, and progressive parenchymal enhancement on contrast-enhanced CT. One patient had multiple intestinal lesions with inhomogeneous nodular thickening of the blind ascending colon and ileum, with marked and progressive enhancement.

CONCLUSION

RDD involvement is mainly multifocal, primarily in the head and neck regions. Plain CT/MRI revealed well-defined, irregularly shaped lesions with homogeneous density/signal, with marked and progressive enhancement on multiphasic contrast-enhanced imaging; however, histopathology is still required to confirm the diagnosis of RDD.

Exposure to Contaminated River Water is Associated with Early Hatching and Dysregulation of Gene Expression in Early Life Stages of the Endangered Copper Redhorse (Moxostoma hubbsi)

The copper redhorse (Moxostoma hubbsi) is an endangered fish that spawns exclusively in the Richelieu River (Quebec, Canada). Tributaries of the Richelieu are contaminated with high levels of current-use pesticides, which may impact early-life stage (ELS) copper redhorse and other native fishes. We assessed the effects of exposure to contaminated river water on ELS copper redhorse and river redhorse (Moxostoma carinatum), a related fish that shares the copper redhorse's spawning grounds and nursery habitat. A riverside flow-through system was used to expose copper and river redhorse embryos (1000 each) to Richelieu River water or laboratory water as a control. Fish were maintained until 14 days posthatch, and water samples were taken daily for chemical analysis. Following a heavy rain event, concentrations of two neonicotinoid pesticides, clothianidin and thiamethoxam, exceeded water quality guidelines for aquatic life (20 ng/L). Using nontargeted screening, we tentatively identified an additional 24 pharmaceutical and personal care products and 23 pesticides in river water. Effects of river water on ELS fish were observed in both species, but the copper redhorse appeared to be more sensitive. Fish exposed to river water hatched 10.7 (copper redhorse) and 2.4 (river redhorse) cumulative degree days earlier than controls. Copper redhorse survival was significantly lower in river water (73 ± 16%) compared to laboratory water (93 ± 3%), whereas river redhorse survival was similar between treatments (84 ± 6% and 89 ± 4%, respectively). Sequencing of copper redhorse larvae RNA revealed 18 differentially expressed genes (DEGs) following 14 days of exposure to river water. Eight up-regulated DEGs were linked to immune function and injury response, and seven down-regulated DEGs were involved with digestion and nutrient absorption. The present study provided valuable data on the effects of ELS exposure to a real-world mixture of contaminants in two fish species of concern. Environ Toxicol Chem 2022;41:1950-1966. © 2022 SETAC.

Band-like transport in non-fullerene acceptor semiconductor Y6

The recently reported non-fullerene acceptor (NFA) Y6 has been extensively investigated for high-performance organic solar cells. However, its charge transport property and physics have not been fully studied. In this work, we acquired a deeper understanding of the charge transport in Y6 by fabricating and characterizing thin-film transistors (TFTs), and found that the electron mobility of Y6 is over 0.3-0.4 cm²/(V⋅s) in top-gate bottom-contact devices, which is at least one order of magnitude higher than that of another well-known NFA ITIC. More importantly, we observed band-like transport in Y6 spin-coated films through temperature-dependent measurements on TFTs. This is particularly amazing since such transport behavior is rarely seen in polycrystalline organic semiconductor films. Further morphology characterization and discussions indicate that the band-like transport originates from the unique molecule packing motif of Y6 and the special phase of the film. As such, this work not only demonstrates the superior charge transport property of Y6, but also suggests the great potential of developing high-mobility n-type organic semiconductors, on the basis of Y6.

Doping of Sn-based two-dimensional perovskite semiconductor for high-performance field-effect transistors and thermoelectric devices

Doping is an important technique for semiconductor materials and devices, yet effective and controllable doping of organic-inorganic halide perovskites is still a challenge. Here, we demonstrate a facile way to dope two-dimensional Sn-based perovskite (PEA)₂SnI₄ by incorporating SnI₄ in the precursor solutions. It is observed that Sn⁴⁺ produces p-doping effect on the perovskite, which increases the electrical conductivity by 10⁵ times. The dopant SnI₄ is also found to improve the film morphology of (PEA)₂SnI₄, leading to reduced trap states. This doping technique allows us to improve the room temperature mobility of (PEA)₂SnI₄ field-effect transistors from 0.25 to 0.68 cm² V^-1 s^-1 thanks to reduced trapping effects in the doped devices. Moreover, the doping technique enables the characterization and improvement of the thermoelectric performance of (PEA)₂SnI₄ films, which show a high power factor of 3.92 μW m^-1 K^-2 at doping ratio of 5 mol %.

Database mining and animal experiment-based validation of the efficacy and mechanism of Radix Astragali (Huangqi) and Rhizoma Atractylodis Macrocephalae (Baizhu) as core drugs of Traditional Chinese medicine in cancer-related fatigue

ETHNOPHARMACOLOGICAL RELEVANCE

In China, Traditional Chinese medicine (TCM) is often used as the main therapy for cancer-related fatigue (CRF). However, there is limited evidence to prove its therapeutic effect and mechanism.

AIM OF THE STUDY

We aimed to provide a basis for the therapeutic effect of TCM for CRF.

MATERIALS AND METHODS

We performed a meta-analysis to investigate the efficacy of TCM treatment for CRF. Through frequency statistics and association rule mining, we screened the core Chinese medicine components, Astragalus mongholicus Bunge., root (Radix astragali, Huangqi) and Atractylodes macrocephala Koidz., rhizome (Rhizoma atractylodis macrocephalae, Baizhu). We then used animal experiments to verify the effectiveness of these two TCMs and changes in related indicators in mice. Relevant molecular mechanisms were explored through network pharmacological analysis.

RESULTS

Twenty-four randomised control trials (RCTs) involving 1865 patients were included in the meta-analysis. TCM produced more positive effects on CRF than standard therapy alone. Radix astragali and Rhizoma atractylodis macrocephalae, as the core drug pair for the treatment of CRF, enhanced the physical fitness of mice; reduced abdominal circumference, level of inflammatory factors, and tumour weight; and increased body weight and blood sugar. Network pharmacology analysis showed that the mechanism of action of Radix astragali and Rhizoma atractylodis macrocephalae on CRF mainly involved compounds, such as quercetin, kaempferol and luteolin, acting through multiple targets, such as Protein kinase B α (AKT1), Tumour necrosis factor (TNF), and Interleukin-6 (IL-6). These molecules regulate cytokines, cancer signalling, and metabolic pathways and confer an anti-CRF effect.

CONCLUSIONS

TCM may be a promising therapy to relieve CRF in cancer patients. Our research may provide a reference for the clinical application of TCM for treating CRF.

Exploring Lorentz Invariance Violation from Ultrahigh-Energy γ Rays Observed by LHAASO

Recently, the LHAASO Collaboration published the detection of 12 ultrahigh-energy γ-ray sources above 100 TeV, with the highest energy photon reaching 1.4 PeV. The first detection of PeV γ rays from astrophysical sources may provide a very sensitive probe of the effect of the Lorentz invariance violation (LIV), which results in decay of high-energy γ rays in the superluminal scenario and hence a sharp cutoff of the energy spectrum. Two highest energy sources are studied in this work. No signature of the existence of the LIV is found in their energy spectra, and the lower limits on the LIV energy scale are derived. Our results show that the first-order LIV energy scale should be higher than about 10^{5} times the Planck scale M_{Pl} and that the second-order LIV scale is >10^{-3}M_{Pl}. Both limits improve by at least one order of magnitude the previous results.

[Establishment and validation of prognostic risk score model for esophageal squamous cell carcinoma based on immune related genes]

Objective: To find the biomarkers that accurately predict the survival of patients with esophageal squamous cell carcinoma (ESCC). Methods: The immune related genes that were significantly related to the overall survival (OS) of patients with ESCC were screened from The Cancer Genome Atlas (TCGA) database to construct a prognostic risk score model. The prognoses of the high-risk and low-risk groups were compared by Kaplan-Meier method. The accuracy of the model was evaluated by the receiver operating characteristic (ROC) curve. Tumor tissue samples of 83 patients with pathological diagnosis of ESCC were collected from Anyang Cancer Hospital for external verification. Cox regression analysis was used to comprehensively evaluate the effects of prognostic risk score and various clinical characteristics on OS of patients with ESCC. Results: Seven immune-related genes that were significantly related to survival prognosis were selected from the TCGA database and included in the prognostic risk score model, which were S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2. The 1- and 2-year survival rates of the low-risk group (40 cases) were 94.3% and 82.5%, respectively, while those of the high-risk group (40 cases) were 75.9% and 32.9%, respectively.The prognosis of the high-risk group was worse than that of the low-risk group (P<0.001). The 83 external validation samples obtained consistent results by using the prognostic risk score model. The prognostic risk score was positively correlated with the content of CD4(+) T lymphocytes in ESCC (r(s)=0.259, P=0.020), but not correlated with the content of B lymphocytes, CD8(+) T lymphocytes, neutrophils, macrophages or dendritic cells (P>0.05). Conclusions: S100A12, SLC40A1, FABP9, TNFSF10, IGHA2, IL1F10, and STC2 were risk genes significantly associated with OS of patients with ESCC. The prognostic risk score was an independent prognostic factor for the OS of patients with ESCC, and it was correlated with the content of CD4(+) T lymphocytes in ESCC tissue.

Peta-electron volt gamma-ray emission from the Crab Nebula

The Crab Nebula is a bright source of gamma rays powered by the Crab Pulsar's rotational energy through the formation and termination of a relativistic electron-positron wind. We report the detection of gamma rays from this source with energies from 5 × 10^-4 to 1.1 peta-electron volts with a spectrum showing gradual steepening over three energy decades. The ultrahigh-energy photons imply the presence of a peta-electron volt electron accelerator (a pevatron) in the nebula, with an acceleration rate exceeding 15% of the theoretical limit. We constrain the pevatron's size between 0.025 and 0.1 parsecs and the magnetic field to ≈110 microgauss. The production rate of peta-electron volt electrons, 2.5 × 10³⁶ ergs per second, constitutes 0.5% of the pulsar spin-down luminosity, although we cannot exclude a contribution of peta-electron volt protons to the production of the highest-energy gamma rays.

Extended Very-High-Energy Gamma-Ray Emission Surrounding PSR J0622+3749 Observed by LHAASO-KM2A

We report the discovery of an extended very-high-energy (VHE) gamma-ray source around the location of the middle-aged (207.8 kyr) pulsar PSR J0622+3749 with the Large High-Altitude Air Shower Observatory (LHAASO). The source is detected with a significance of 8.2σ for E>25  TeV assuming a Gaussian template. The best-fit location is (right ascension, declination) =(95.47°±0.11°,37.92°±0.09°), and the extension is 0.40°±0.07°. The energy spectrum can be described by a power-law spectrum with an index of -2.92±0.17_{stat}±0.02_{sys}. No clear extended multiwavelength counterpart of the LHAASO source has been found from the radio to sub-TeV bands. The LHAASO observations are consistent with the scenario that VHE electrons escaped from the pulsar, diffused in the interstellar medium, and scattered the interstellar radiation field. If interpreted as the pulsar halo scenario, the diffusion coefficient, inferred for electrons with median energies of ∼160  TeV, is consistent with those obtained from the extended halos around Geminga and Monogem and much smaller than that derived from cosmic ray secondaries. The LHAASO discovery of this source thus likely enriches the class of so-called pulsar halos and confirms that high-energy particles generally diffuse very slowly in the disturbed medium around pulsars.

Ultrahigh-energy photons up to 1.4 petaelectronvolts from 12 γ-ray Galactic sources

The extension of the cosmic-ray spectrum beyond 1 petaelectronvolt (PeV; 10¹⁵ electronvolts) indicates the existence of the so-called PeVatrons-cosmic-ray factories that accelerate particles to PeV energies. We need to locate and identify such objects to find the origin of Galactic cosmic rays¹. The principal signature of both electron and proton PeVatrons is ultrahigh-energy (exceeding 100 TeV) γ radiation. Evidence of the presence of a proton PeVatron has been found in the Galactic Centre, according to the detection of a hard-spectrum radiation extending to 0.04 PeV (ref. ²). Although γ-rays with energies slightly higher than 0.1 PeV have been reported from a few objects in the Galactic plane^3-6, unbiased identification and in-depth exploration of PeVatrons requires detection of γ-rays with energies well above 0.1 PeV. Here we report the detection of more than 530 photons at energies above 100 teraelectronvolts and up to 1.4 PeV from 12 ultrahigh-energy γ-ray sources with a statistical significance greater than seven standard deviations. Despite having several potential counterparts in their proximity, including pulsar wind nebulae, supernova remnants and star-forming regions, the PeVatrons responsible for the ultrahigh-energy γ-rays have not yet been firmly localized and identified (except for the Crab Nebula), leaving open the origin of these extreme accelerators.