Atypical removals of nitrogen and phosphorus with biochar-pyrite vertical flow constructed wetlands treating wastewater at low C/N ratio.

This study constructed five laboratory-scale vertical flow constructed wetlands (VFCWs) using different ratios of biochar and pyrite as substrates to treat wastewater with a low carbon-to-nitrogen (C/N) ratio. Biochar can release organic carbon to enhance heterotrophic denitrification and serve as an electron shuttle for denitrification, but it can also release phosphate, negatively impacting total phosphorus removal efficiency. Pyrite releases Fe and S to promote autotrophic denitrification, with Fe reacting with phosphate to form FePO precipitates that deposit on and passivate the pyrite's surface.

Anti-tumor role and molecular mechanism of vanillic acid.

Vanillic Acid (VA) is an aromatic acid extracted from traditional Chinese medicine such as Angelica sinensis and Panax ginseng, which has demonstrated potent anti-cancer activity, inhibiting the onset and progression of various malignant tumors. This review highlights the principal mechanism by which VA exerts its anticancer activity, including apoptosis induction, specifically promoting the generation of intracellular reactive oxygen species (ROS), which in turn triggers mitochondrial apoptosis. Furthermore, VA disrupts the cancer cell cycle, arresting most cancer cells at the G1 phase, curtails cell migration, invasion, angiogenesis, and potentiates the therapeutic efficacy of chemotherapeutic drugs, all while minimizing adverse reactions.

Metatronics-inspired high-selectivity metasurface filter.

Metatronic circuits extend the concept of subwavelength-scaled lumped circuitry from electronics to optics and photonics, providing a distinctive design paradigm for versatile optical nanocircuits. Here, based on the design of optical nanocircuits using metatronics concept, we introduce a general approach for dispersion synthesis with metasurface to achieve high-selectivity filtering response. We theoretically and numerically demonstrate how to achieve basic circuit lumped elements in metatronics by tailoring the dispersion of metasurface at the frequency of interest.

Experimental Demonstration of Drone-Based Quantum Key Distribution.

Quantum state transferring has been demonstrated using drones via entanglement distribution. Here, we demonstrate the first drone-based quantum task for quantum key distribution (QKD). Compact and polarization-maintaining acquisition, pointing, and tracking systems and QKD modules are developed and loaded on a homemade octocopter with a takeoff weight of 30 kg.

Machine learning in image-based outcome prediction after radiotherapy: A review.

The integration of machine learning (ML) with radiotherapy has emerged as a pivotal innovation in outcome prediction, bringing novel insights amid unique challenges. This review comprehensively examines the current scope of ML applications in various treatment contexts, focusing on treatment outcomes such as patient survival, disease recurrence, and treatment-induced toxicity. It emphasizes the ascending trajectory of research efforts and the prominence of survival analysis as a clinical priority.

The potential of kaempferol in digestive system tumors: recent advances and mechanistic insights.

Digestive system neoplasms are a heterogeneous group of cancers characterized by diverse symptoms, complex diagnosis, and treatment. Prognosis is poor and influenced by multiple factors, making early detection and comprehensive treatment crucial for patient survival. Kaempferol, a flavonoid compound, has attracted attention due to its anti-tumor biological activity, holding promise as a potential drug for treating digestive system neoplasms.

Cardiac MRI segmentation using shifted-window multilayer perceptron mixer networks.

. In this work, we proposed a deep-learning segmentation algorithm for cardiac magnetic resonance imaging to aid in contouring of the left ventricle, right ventricle, and Myocardium (Myo).We proposed a shifted window multilayer perceptron (Swin-MLP) mixer network which is built upon a 3D U-shaped symmetric encoder-decoder structure.

Real-time tunable notched waveguide based on voltage controllable ferroelectric resonator.

In the present study, we have devised and conducted an investigation into a real-time tunable notched waveguide, employing a voltage-controllable plasmonic resonator. This plasmonic resonator is meticulously engineered from a ferroelectric substrate featuring a compound multilayer structure, thereby conferring it with the remarkable capability of flexible permittivity control. Furthermore, we have implemented two non-intersecting Archimedean spiral electrodes on the surface of the ferroelectric substrate, dedicated to applying the bias field onto the controllable plasmonic ferroelectric resonator (CPFR).

Advancing medical imaging with language models: featuring a spotlight on ChatGPT.

This review paper aims to serve as a comprehensive guide and instructional resource for researchers seeking to effectively implement language models in medical imaging research. First, we presented the fundamental principles and evolution of language models, dedicating particular attention to large language models. We then reviewed the current literature on how language models are being used to improve medical imaging, emphasizing a range of applications such as image captioning, report generation, report classification, findings extraction, visual question response systems, interpretable diagnosis and so on.

MGMT promoter methylation prediction based on multiparametric MRI via vision graph neural network.

Purpose: Glioblastoma (GBM) is aggressive and malignant. The methylation status of the -methylguanine-DNA methyltransferase (MGMT) promoter in GBM tissue is considered an important biomarker for developing the most effective treatment plan. Although the standard method for assessing the MGMT promoter methylation status is via bisulfite modification and deoxyribonucleic acid (DNA) sequencing of biopsy or surgical specimens, a secondary automated method based on medical imaging may improve the efficiency and accuracy of those tests.

Curcumin alleviates orofacial allodynia and improves cognitive impairment via regulating hippocampal synaptic plasticity in a mouse model of trigeminal neuralgia.

Objective: Cognitive impairment, one of the most prevalent complications of trigeminal neuralgia, is troubling for patients and clinicians due to limited therapeutic options. Curcumin shows antinociception and neuroprotection pharmacologically, suggesting that it may have therapeutic effect on this complication. This study aimed to investigate whether curcumin alleviates orofacial allodynia and improves cognitive impairment by regulating hippocampal CA1 region synaptic plasticity in trigeminal neuralgia.

Ring Finger Protein 146-mediated Long-chain Fatty-acid-Coenzyme a Ligase 4 Ubiquitination Regulates Ferroptosis-induced Neuronal Damage in Ischemic Stroke.

Ischemic stroke (IS) is one of the leading causes of disability and death worldwide. Long-chain fatty-acid-coenzyme A ligase 4 (ACSL4) is a critical isozyme for ferroptosis that participates in the progression of IS. RING finger protein 146 (RNF146) is an E3 ligase predicted to interact with ACSL4 and regulated by activating transcription factor 3 (ATF3).

Astragaloside IV alleviates neuronal ferroptosis in ischemic stroke by regulating fat mass and obesity-associated-N6-methyladenosine-acyl-CoA synthetase long-chain family member 4 axis.

Ischemic stroke (IS) is a detrimental neurological disease with limited treatment options. Astragaloside IV (As-IV) was a promising bioactive constituent in the treatment of IS. However, the functional mechanism remains unclear.

Construction of an efficient cell factory for lysergic acid production.

Lysergic acid (LA) is the key precursor of ergot alkaloids, and its derivatives have been used extensively for the treatment of neurological disorders. However, the poor fermentation efficiency limited its industrial application. At the same time, the hardship of genetic manipulation has hindered the metabolic engineering of strains to improve the LA titer further.

Reinforcement learning in medical image analysis: Concepts, applications, challenges, and future directions.

Motivation: Medical image analysis involves a series of tasks used to assist physicians in qualitative and quantitative analyses of lesions or anatomical structures which can significantly improve the accuracy and reliability of medical diagnoses and prognoses. Traditionally, these tedious tasks were finished by experienced physicians or medical physicists and were marred with two major problems, low efficiency and bias. In the past decade, many machine learning methods have been applied to accelerate and automate the image analysis process.

Abdomen CT multi-organ segmentation using token-based MLP-Mixer.

Background: Manual contouring is very labor-intensive, time-consuming, and subject to intra- and inter-observer variability. An automated deep learning approach to fast and accurate contouring and segmentation is desirable during radiotherapy treatment planning.

Purpose: This work investigates an efficient deep-learning-based segmentation algorithm in abdomen computed tomography (CT) to facilitate radiation treatment planning.

End-to-end artificial intelligence platform for the management of large vessel occlusions: A preliminary study.

Objectives: In this study, we developed a deep learning pipeline that detects large vessel occlusion (LVO) and predicts functional outcome based on computed tomography angiography (CTA) images to improve the management of the LVO patients.

Methods: A series identifier picked out 8650 LVO-protocoled studies from 2015 to 2019 at Rhode Island Hospital with an identified thin axial series that served as the data pool. Data were annotated into 2 classes: 1021 LVOs and 7629 normal.

Efficacy and safety of a sequential treatment with clearing heat and eliminating phlegm and tonifying and activating blood circulation in treating acute ischemic stroke: study protocol for a randomized controlled trial.

Objective: To investigate the short-term efficacy and safety outcomes following a sequential treatment with clearing heat and eliminating phlegm (CHEP) formula and tonifying Qi and activating blood circulation (TQABC) formula in patients with acute ischemic stroke (AIS) within a 72 h time window.

Methods: In this randomized, multicenter, double-blinded, placebo-controlled trial, 500 participants will be randomly assigned in a ratio of 1∶1 to the CHEP+ TQABC group or control group. In addition to guideline-based standard medical care, participants in the treatment group will receive the CHEP formula for the first 5 consecutive days followed by the TQABC formula for another 10 consecutive days, while those in the control group will receive CHEP formula placebo and TQABC formula placebo consecutively.

Active control of terahertz waves based on p-Si hybrid PIT metasurface device under avalanche breakdown.

Active control of terahertz waves is a critical application for terahertz devices. Silicon is widely used in large-scale integrated circuit and optoelectronic devices, and also shows great potential in the terahertz field. In this paper, a p-Si hybrid metasurface device is proposed and its terahertz characteristics under avalanche breakdown effect is investigated.

Optical-Relayed Entanglement Distribution Using Drones as Mobile Nodes.

Entanglement distribution has been accomplished using a flying drone, and this mobile platform can be generalized for multiple mobile nodes with optical relay among them. Here we develop the first optical relay to reshape the wave front of photons for their low diffraction loss in free-space transmission. Using two drones, where one distributes the entangled photons and the other serves as relay node, we achieve entanglement distribution with Clauser-Horne-Shimony-Holt S parameter of 2.

Saikosaponin A improved depression-like behavior and inhibited hippocampal neuronal apoptosis after cerebral ischemia through p-CREB/BDNF pathway.

Post-stroke depression(PSD) is a common complication and associates with poor physical recovery, low quality of life and high mortality after cerebral infarction. However, the pathogenesis of PSD have not been elucidated thoroughly now, and there is a lack of effective therapy in clinic. It reported that Saikosaponin A, one of the main constituents from Chinese herb Bupleurum chinense, has pharmacological activity in anti-depression.

Wireless phone use and adult meningioma risk: a systematic review and Meta-analysis.

Several studies explored the effects of exposure to radiofrequency-electromagnetic field (RF-EMF) and extremely low frequency (ELF) EMF emitted from mobile phones on meningioma among adults. However, the results could not reach an agreement. This meta-analysis was conducted to confirm the relationship between adult meningioma risk and the use of a wireless phone.

Predictive value on diffusion weighted imaging scores for basilar artery occlusion after endovascular treatment.

Purpose: To assess the predictive value of three scoring systems based on diffusion weighted imaging in basilar artery occlusion patients after endovascular treatment.

Methods: We analyzed clinical and radiological data of patients with basilar artery occlusion from January 2010 to June 2019, with modified Rankin Scale of 0-2 and 3-6 defined as favorable outcome and unfavorable outcome at three months. Diffusion weighted imaging posterior circulation ASPECTS Score (DWI pc-ASPECT Score), Renard diffusion weighted imaging Score, and diffusion weighted imaging Brainstem Score were used to evaluate the early ischemic changes.