Explore the vast range of titles available.

However, film production is a facet of study that has prevailed over the years but has yet to be thoroughly investigated in the scholarly field. It is essential to have the film production in the scientific literature. This paper will focus on various business film approach organizations, focusing on James Cameron’s famous movie Avatar. Movies business can be categorized into two models: business and studio models. For instance, Avatar is a new 3D movie that has prevailed in business and studio models. Still, the movie offers an excellent perspective of the studio model and the utilization of the technology. The blockbuster movie was first produced to meet the best values of the perceived audience; that is, no matter what the movie will cost and how much the consumers are willing to spend. Precisely, it is essential to ensure the production of a movie that will be affordable in terms of production and, at the same time, meets the consumer’s expectations and enables a profit.

Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption. As pivotal components of neuromorphic system, artificial spiking neurons are powerful information processing units and can achieve highly complex nonlinear computations. By leveraging the switching dynamic characteristics of memristive device, memristive neurons show rich spiking behaviors with simple circuit. This report reviews the memristive neurons and their applications in neuromorphic sensing and computing systems. The switching mechanisms that endow memristive devices with rich dynamics and nonlinearity are highlighted, and subsequently various nonlinear spiking neuron behaviors emulated in these memristive devices are reviewed. Then, recent development is introduced on neuromorphic system with memristive neurons for sensing and computing. Finally, we discuss challenges and outlooks of the memristive neurons toward high-performance neuromorphic hardware systems and provide an insightful perspective for the development of interactive neuromorphic electronic systems.

Most of the existing low-light image enhancement methods suffer from the problems of detail loss, color distortion and excessive noise. To address the above-mentioned issues, this paper proposes a neural network-based low-light image enhancement network. The network is divided into three parts: decomposition network, reflection component denoising network, and illumination component enhancement network. In the decomposition network, the input image is decomposed into a reflection image and an illumination image. In the reflection component denoising network, the Unet3+ network improved by fusion CA attention is adopted to denoise the reflection image. In the illumination component enhancement network, the adaptive mapping curve is adopted to enhance the illumination image iteratively. Finally, the processed illumination and reflection images are fused based on Retinex theory to obtain the final enhanced image. The experimental results show that the proposed network achieves excellent visual effects in subjective evaluation. Additionally, it shows a significant improvement in objective evaluation metrics, including PSNR, SSIM, NIQE, and so on, when compared to the results in several public datasets.

Constructing crossmodal in-sensor processing system based on high-performance flexible devices is of great significance for the development of wearable human-machine interfaces. A bio-inspired crossmodal in-sensor computing system can perform real-time energy-efficient processing of multimodal signals, alleviating data conversion and transmission between different modules in conventional chips. Here, we report a bio-inspired crossmodal spiking sensory neuron (CSSN) based on a flexible VO 2 memristor, and demonstrate a crossmodal in-sensor encoding and computing system for wearable human-machine interfaces. We demonstrate excellent performance in the VO 2 memristor including endurance (>10 12 ), uniformity (0.72% for cycle-to-cycle variations and 3.73% for device-to-device variations), speed (<30 ns), and flexibility (bendable to a curvature radius of 1 mm). A flexible hardware processing system is implemented based on the CSSN, which can directly perceive and encode pressure and temperature bimodal information into spikes, and then enables the real-time haptic-feedback for human-machine interaction. We successfully construct a crossmodal in-sensor spiking reservoir computing system via the CSSNs, which can achieve dynamic objects identification with a high accuracy of 98.1% and real-time signal feedback. This work provides a feasible approach for constructing flexible bio-inspired crossmodal in-sensor computing systems for wearable human-machine interfaces. Constructing crossmodal in-sensor processing system based on high-performance flexible devices is important for the development of wearable human-machine interfaces. This work reports a bio-inspired spiking sensory neuron based on a flexible VO2 memristor and demonstrates a crossmodal in-sensor encoding and computing system.

Heat shock protein 70 (HSP70) is a highly conserved molecular chaperone that plays a core role in assisting protein folding and maintaining cellular homeostasis. In recent years, studies have revealed that HSP70 has dual functions in immune regulation: on the one hand, it enhances immune responses by activating non-specific immunity (such as Toll-like receptor 2/4 (TLR2/4) signaling pathways) and specific immunity (such as cross-presentation of antigens, T helper 1 (Th1)/T helper 17 (Th17) differentiation); on the other hand, it inhibits excessive immune reactions by inducing the differentiation of regulatory T cells (Treg) and promoting the secretion of anti-inflammatory factors [such as interleukin-10 (IL-10)]. In cancer, the duality of HSP70 is also very prominent: it can drive tumor progression through pathways such as inhibiting apoptosis, promoting angiogenesis, and tumor metastasis, and it can also inhibit tumor growth by activating immunogenic cell death (ICD), enhancing antigen presentation, and natural killer (NK) cell activity. This review aims to systematically analyze the immune regulatory functions of HSP70, focusing on its dual regulatory mechanisms and the “double-edged sword” nature of HSP70 in tumor immunotherapy and the innovative nature of targeted strategies, as well as providing a theoretical basis and research directions for precision medicine in the treatment strategies of related diseases.

Bronchial artery embolization (BAE) is an effective treatment for hemoptysis, with potential complications including pain and spinal ischemia. We report a rare case in which the right bronchial artery communicated with the right intercostal arteries, and the right intercostal artery had an anastomosis with the right vertebral artery. Additionally, the left bronchial artery was found to have a connection with the left vertebral artery.

This Review presents a comprehensive analysis of the amounts and distribution of public and philanthropic global cancer research funding between 2016 and 2023, including patterns of international collaboration and downstream research output, with an emphasis on the Commonwealth. We show that annual investment decreased globally each year, apart from a rise in 2021. Network analysis revealed that grant and publication collaborations between the Commonwealth, the USA, and the EU are facilitated by linkages through a core group of Commonwealth countries, including the UK, Australia, and Canada. There are inequities in research investment and low funding for treatment modalities for many cancers. These inequities also manifest in the central positioning of high-income Commonwealth countries in research collaborations, but also point to opportunities for high-income Commonwealth countries to facilitate linkages with low-income countries and support active cancer research in the USA and the EU. There is an urgent need to review research investment priorities, both within the Commonwealth and globally, to align with population needs and promote collaborative strategies that can build research skills and infrastructure in low-income settings to impact global cancer control. Finite resources should be invested wisely to achieve maximum improvements in mortality and alleviate the cancer burden.

To avoid recurrent variceal bleeding, transjugular intrahepatic portosystemic shunt (TIPS) in conjunction with variceal embolization is considered to be an effective strategy. However, due to changes in conditions and variations in the patient's state, individuals undergoing TIPS may face challenges and limitations during procedures. The transjugular technique and combined transsplenic portal venous recanalization (PVR) with TIPS were not effective in this case due to a blocked portal vein and a previous splenectomy. With an abdominal incision, we successfully punctured the mesenteric venous system and navigated the occluded segment of the portal vein through the mesenteric approach. TIPS was then performed under balloon guidance. This study aims to explore the management of risks and complications during surgical operations and propose multiple preoperative surgical techniques to improve the success rate of the procedure.

Ulcerative colitis (UC) is a complex and chronic inflammatory bowel disease whose pathogenesis involves genetic and environmental factors, which poses a challenge for treatment. Here, we have designed an innovative integrated therapeutic strategy using Lactobacillus acidophilus extracellular vesicles (EVs) to encapsulate UiO-66-NH 2 nanoparticles bounded with TNF-α siRNA (EVs@UiO-66-NH 2 @siRNA) for UC treatment. This system shows superior affinity to inflammation-related cells due to the Lactobacillus acidophilus EVs can maintain immune homeostasis by regulating the secretion of cytokines in vitro. siRNA can specifically target the key inflammatory TNF-α in UC and silence its gene expression, thereby regulating the process of inflammatory response. After oral administration, EVs@UiO-66-NH 2 @siRNA demonstrates an accurate delivery of TNF-α siRNA to colonize the colon site and exerts a siRNA therapeutic effect by inhibiting the expression of TNF-α, which alleviates the intestinal inflammation in DSS-induced UC model. Moreover, this system can modulate the types and compositional structures of gut microbiota and metabolites to achieve an anti-inflammatory phenotype, which is helpful for the repair of intestinal homeostasis. We also have proved that UiO-66-NH 2 nanoparticles exhibit a high loading capacity for TNF-α siRNA and good pH responsiveness, improving the potent release of siRNA in colon tissue. Collectively, the EVs@UiO-66-NH 2 @siRNA nano-delivery system demonstrate a feasible combination therapeutic strategy for UC through gut microecology modulation, immune regulation and TNF-α siRNA silence, which may provide a potential targeted treatment approach for inflammatory bowel disease. Graphical Abstract

The article highlights the latest developments in the design of low-power 4-bit Absolute Value Detector (AVD) circuits that are utilized in digital signal processing (DSP) applications. DSP applications like audio and video processing, biological signal processing, and digital communication systems rely heavily on the AVD circuit, which determines the absolute value of an input signal. The article introduces a low-energy 4-bit AVD circuit based on pass transistors that incorporates advanced optimization techniques like adiabatic logic, approximation techniques, and layout optimization. This optimized AVD circuit achieves remarkable results in terms of power consumption and energy efficiency. With a power consumption of just 0.6 nW and an energy efficiency of 0.6 pJ per cycle, the circuit maintains precision and rapid response time. These advancements in AVD circuit design can be highly beneficial for portable and battery-powered devices such as earplugs, implants, and cell phones, as well as electronic components like Static Random Access Memory (SRAM) and motherboards. Overall, the proposed low-energy 4-bit AVD circuit is a significant development in the DSP field, enabling more efficient and effective processing of digital signals.