bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Role of the Plasminogen Activator Inhibitor 1 (PAI1) in Ovarian Cancer: Mechanisms and Therapeutic Implications
Authors: Mathews Sneha Grace , Krishna R.B. Devi , M. Lavanya , K. Nandini , Murali Sanjana , Agarwal Preet , Rani Elizabeth , F. Andrea Mary 
Published: October 2024

AbstractOvarian cancer (OC) is one among most significantly fatal gynecological cancers, with late-stage detection and an inadequate prognosis. Plasminogen activator inhibitor-1 (PAI1) gene anticipates negative outcomes in many different kinds of malignancies. Several research investigations are currently being done to examine the biological role of PAI1 in OC and the possible benefits of targeted pharmacotherapies. The PAI1 gene has been linked to the emergence and development of cancer in the ovary. PAI1, an inhibitor of serine protease, influences the fibrinolysis and extracellular matrix remodeling, both of which are crucial for tumor expansion and metastatic growth. PAI1 levels have been discovered to be subsequently more elevated in malignant ovarian tissues than in usual ovarian tissue, demonstrating a potential connection among PAI1 overexpression and OC development. PAI1 promotes tumor cell proliferation, movement, and an invasion by influencing the urokinase-plasminogen activators and through interactions with cell surface receptors. In addition, PAI1 gene contributes to angiogenesis and apoptotic cell death, which contribute to the more hostile phenotypes of OC. The prognostic and therapeutic consequences of focusing on PAI1 in OC are explored, demonstrating PAI1's potential to be a biomarker and emphasizing for novel treatment approaches. The PAI1 gene possesses several functions in OC, affecting tumor development, an invasion, and metastatic growth. Comprehending the complicated interactions and mechanisms that regulate PAI1 in OC may lead to more efficient evaluation and treatment strategies and ultimately enhance patient outcomes.
Effect of annealing conditions on resistive switching in hafnium oxide-based MIM devices for low-power RRAM
Authors: Mir Kifayat H , Garg T 
Published: October 2024

Abstract
This work presents resistive switching (RS) behaviour in HfO2-based low-power resistive random-access memory (RRAM) devices. A metal-insulator-metal (MIM) structure (Au/HfO2/Pt) was fabricated by sandwiching a thin insulating layer of HfO2 between Pt and Au electrodes. HfO2 films deposited by RF sputtering at room temperature were rapid thermally annealed in N2 ambient at 400 °C and 500 °C. Grazing angle x-ray diffraction (GIXRD), Field emission gun-scanning electron microscopy (FEG-SEM), atomic force microscopy (AFM), and x-ray photoelectron spectroscopy (XPS) were employed to analyse the phase, crystal structure, morphology, surface roughness and chemical composition of the HfO2 films. The bipolar RS could be observed in both as-deposited and annealed HfO2 film-based devices from I–V characteristics measured using a source meter. We have investigated the effect of annealing temperature and annealing ambient on the phase formation of HfO2 as well as the RS characteristics and compared with as-deposited film-based device. Annealed HfO2 film-based devices exhibited improved electrical characteristics, including stable and repeatable RS at significantly lower switching voltages (<1 V) which indicates low power consumption in these devices. The relatively lower processing temperature of the HfO2 films and that too in the films deposited by physical vapor deposition (PVD) technique-RF magnetron sputtering makes this study significantly useful for resistive switching based non-volatile memories.
Mean first passage times and Eyring–Kramers formula for fluctuating hydrodynamics
Authors: Liu Jingbang , Sprittles James E , Grafke Tobias 
Published: October 2024

Abstract
Thermally activated phenomena in physics and chemistry, such as conformational changes in biomolecules, liquid film rupture, or ferromagnetic field reversal, are often associated with exponentially long transition times described by Arrhenius’ law. The associated subexponential prefactor, given by the Eyring–Kramers formula, has recently been rigorously derived for systems in detailed balance, resulting in a sharp limiting estimate for transition times and reaction rates. Unfortunately, this formula does not trivially apply to systems with conserved quantities, which are ubiquitous in the sciences: The associated zeromodes lead to divergences in the prefactor. We demonstrate how a generalised formula can be derived, and show its applicability to a wide range of systems, including stochastic partial differential equations from fluctuating hydrodynamics, with applications in rupture of nanofilm coatings and social segregation in socioeconomics.
RSDM: Research of Rotation and Small Object Detection Models for Remote Sensing Images
Authors: Yang Panpan , Hui Yan , Hu Xiuhua , Li Wang 
Published: October 2024

Abstract
Instance objects captured in aerial imagery display a range of orientations and exhibit significant scaling differences in their dimensions. Recent researches mainly address the above problems in terms of label assignment strategies and extended backbone spatial receptive fields, however, the former may still introduce lower quality samples, while the latter usually introduces considerable background noise. In this paper, the proposed Multiscale Convolutional Kernels Combined with Bi-Level Routing Attention for backbone Feature Extraction Network (MKBANet) employs multi-scale convolutional kernels to extract feature information at different scales, capture local context information, and combine with a Bi-Level Routing Attention (BRA) to capture remote context information and reduce computational complexity. In addition, an adaptive constrained oriented point set strategy (ACOPSS) is proposed. The adaptive point set constraint strategy is introduced in training, and then the quality metric function is utilized to select the top k high-quality directed point set samples in training, and finally the outliers are penalized. 81.23% mAP on DOTA dataset, the efficacy of the introduced approach is demonstrated.
Optimal Power Flow Calculation Based on Improved Crossover Algorithm
Authors: Yang Xiaodong , Chen Linhao , Cheng Lun , Gao Zeming 
Published: October 2024

Abstract
Aiming at the optimization problem of power flow distribution in power system, this paper puts forward a method for calculating the optimal power flow of power network based on the improved crisscross algorithm. The fast convergence crisscross optimization algorithm (FCSO) is based on the traditional crisscross optimization algorithm (CSO) to improve the efficiency and accuracy of solving the Optimal Power Flow, OPF) problem. Based on the original double crossover operator, the improved algorithm puts forward a brand-new operator-central crossover operator, which alternates with transverse crossover operator according to certain rules, In order to improve the quality of single search and accelerate convergence, each individual in the population performs crossover operation with the current optimal individual in turn, and then performs competition operator to selectively approach the current global optimal individual. Finally, combined with experimental verification, the optimal power flow calculation of reactive power optimization based on FSCO has obvious practical effects in improving network voltage quality and reducing line loss, The average voltage increase ratio of 220kV bus and 110kV bus is 0.676% and 0.855% respectively, and the loss reduction rate reaches 3.51%, Compared with CSO, the convergence and calculation speed of FSCO proposed in this paper is faster, the convergence curve is smoother, and the average time consumption is increased to 59.53% compared with CSO, In the case of obtaining the same precision solution, the optimization time is obviously shortened, the timeliness of the optimal solution in regulation operation is effectively improved, and the problem of reactive power optimization in power system can be well solved.
Low-Temperature Drift Bandgap Reference Based on Exponential Compensation Design
Authors: Yin Youwei , Yang Xu , Chen Shanshan , Shi Enxiu 
Published: October 2024

Abstract
In analogue and mixed-signal systems, a stable and accurate reference voltage source is essential to ensure system performance. In this paper, a high-precision bandgap reference (BGR) with a high power supply ripple rejection ratio (PSRR) and lowtemperature drift is proposed, which mainly consists of a core circuit, an exponential temperature compensation circuit, a PSRR enhancement circuit and a start-up circuit. The PSRR is improved by using a PSRR enhancement circuit and a low-pass filter. An exponential compensation circuit is used to reduce the temperature drift coefficient of the bandgap reference. Based on a 0.18 μm BCD process for design and simulation, the output reference voltage is 1.203 V with a temperature drift coefficient of 2.635 ppm/°C over the temperature range of −40°C to 125°C. The PSRR is −144.4 dB at a frequency of 10 Hz, and −43.8 dB at a frequency of 1 MHz, and the layout area is 316 μm × 156 μm.
Analysis of Cracking Causes of A Vibrating Screen Excited Beam
Authors: Cong Shen , Gang Yongheng , Zhang Tiansheng , Yan Xiaofeng , Han Dong 
Published: October 2024

Abstract
It was found that cracking occurred at the exciting beam of the vibrating screen produced by a mechanical equipment manufacturing Co., Ltd. In order to determine the reason for the cracking of the vibrating screen, the cracked vibrating screen samples were tested by appearance, physical and chemical properties, metallographic analysis, scanning electron microscopy(SEM) and energy spectrum analysis. The test analysis results show that the chemical composition analysis, tensile and flattening test results of the vibrating screen meet the requirements of GB/T 8163-2008 standard, the fillet weld at the vibrating screen exciting beam is not bevelled according to the requirements of the production design drawings. The main reason for the cracking of the vibrating screen is that the fillet weld cracking at the vibrating screen exciting beam originates from the welding defects in the weld, which accelerates the further expansion of the crack under the action of external vibration load, and finally leads to the complete cracking of the exciting beam weld.
Bioinspired cooperation in a heterogeneous robot swarm using ferrofluid artificial pheromones for uncontrolled environments
Authors: Brenes-Torres Juan Carlos , Calderón-Arce Cindy , Blanes Francisco , Simo José 
Published: October 2024

Abstract
This article presents a novel bioinspired technology for the cooperation and coordination of heterogeneous robot swarms in uncontrolled environments, utilizing an artificial pheromone composed of magnetized ferrofluids. Communication between different types of robots is achieved indirectly through stigmergy, where messages are inherently associated with specific locations. This approach is advantageous for swarm experimentation outside controlled laboratory spaces, where localization is typically managed through centralized camera systems (e.g. infrared, RGB). Applying pheromone principles has also proven beneficial for various swarm behaviors. We introduce a detection methodology for the artificial ferrofluid pheromone using low-cost magnetic sensors, along with signal processing and parameter characterization. Experiments involved a heterogeneous swarm consisting of two types of robots: one equipped with camera and image processing capabilities and the other with basic sensor technologies. Validation in multiple uncontrolled environments (with varying floor surfaces, wind, and light conditions) demonstrated successful cooperation among robots with differing technological complexities using the proposed technology.
Nutrition, immunity, and infectious diseases in the context of climate change and health syndemic: a scoping review for North America
Authors: Banuet-Martínez M , Vriezen R , Yamamoto S S , Espinosa-Romero M J , Cunsolo A , Harper S L 
Published: October 2024

Abstract
Climate change exacerbates global food insecurity, leading to undernutrition and immunodeficiency, which in turn increases susceptibility to infectious diseases. In this way, climate change creates a syndemic, with undernutrition, immunity, and infectious disease risk adversely interacting. This scoping review aims to map: (1) trends in research about climate change impacts on food security; and (2) the extent to which food security is connected to the immune system and infectious diseases in published climate change research in North America. Using a scoping review process, we identified studies that described food security in the context of climate change in North America. A search string was developed and used to search five electronic databases for articles without language restriction. Data on food security pillars and their relationship with infectious diseases and the immune system were extracted from relevant articles and descriptively synthesized. We identified 204 published articles that met the inclusion criteria. The number of articles linking climate change to food security in North America increased yearly, with regional differences in the number of publications, climate variables analyzed, and study methods used. At least one connection between food security and the immune system or infectious diseases was discussed in 72 articles (35.3%). Of these, eleven articles mentioned both the immune system and infectious diseases and separately described their relationship with food security. However, only eight articles linked or described the relationship between food, immune systems, and infection—for example, by describing extreme weather events that reduced food security, resulting in malnutrition causing immunosuppression, thereby increasing the likelihood of infections. This highlights a gap in research on the adverse interaction between undernutrition, the immune system, and infectious disease risk in the context of climate change. This review underscores the need to study the interconnected and cascading health outcomes of climate change.
Exploring the gut microbiome composition and diversity of leopard cats (Prionailurus bengalensis) in captive population: a case study in Zoo Melaka, Malaysia
Authors: Othman Nursyuhada , Rahman Aifat Nor 
Published: October 2024

Abstract
Gut microbiomes are crucial in determining wildlife’s health, especially in the captive population. The alternation of environment can lead to microbiome changes that could affect the host’s health. Therefore, the information regarding gut microbiomes is important in conducting effective husbandry management for captive animals especially in zoos. Thus, we conducted the gut microbiome study on captive leopard cat (Prionailurus bengalensis) using Illumina Miniseq platform. The 16S rRNA gene sequencing was performed on two samples from both male and female leopard cats. The sequencing analysis successfully unveiled the diversity of gut microbiomes within this species, identifying members from 12 phyla, 74 families, and 127 genera of bacteria. Proteobacteria and Firmicutes emerged as the dominant phyla, constituting 49% in females and 34.7% in males, respectively. Intriguingly, no significant differences in alpha diverisity indices were observed between the sexes of P. bengalensis. These findings contribute substantially to our comprehension of the gut microbiome diversity in leopard cats in Malaysia. Generally, the findings of this study provide the fundamental data for the captive management and health assessment of P. bengalensis, acting as a valuable resource for future conservation efforts. By establishing a baseline understanding of the gut microbiomes in captivity, this research supports the broader goal of preserving the biological integrity of leopard cat populations especially in Malaysia.
Effects of a SigH mutation on tigecycline resistance and the SigH-RshA interaction in Mycobacteroides abscessus
Authors: Wei Chong Gan , Hien Fuh Ng , Yun Fong Ngeow 
Published: October 2024

Abstract

Mycobacteroides abscessus is an opportunistic pathogen ubiquitous in the environment owing to its ability to remain viable on nutrient-poor surfaces. It is a frequent cause of infections in the cosmetic industry, with patients being infected through cutaneous invasive procedures such as tattooing, piercings and cosmetic surgeries. In immunocompromised hosts, infections can be severe and difficult to treat as M. abscessus has many intrinsic and acquired resistances to different classes of antibiotics. Tigecycline, a tetracycline derivative introduced two decades ago, is a broad-spectrum antibiotic with activity on bacteria that are resistant to many existing antibiotics. Unfortunately, tigecycline-resistant strains of M. abscessus have been reported in recent years. This study aimed to investigate the resistance mechanism of CL7, a tigecycline-resistant, spontaneous mutant derived from M. abscessus ATCC 19977. CL7 notably had a 7 amino-acid truncation in the SigH protein, a sigma factor (transcriptional activator) responsible for mycobacterial responses to environmental stress. RNA sequencing showed that sigH and other genes were up-regulated in CL7 (as compared to ATCC 19977). The gene set enrichment analysis demonstrated that the SigH regulon was significantly over-represented among these genes up-regulated in CL7. A bacterial-2-hybrid assay was performed to investigate the effect of the mutation on the SigH interaction with RshA, the anti-sigma factor that inhibits SigH intracellularly. The results, supported by RNA sequencing, showed that the interaction between RshA and the mutant SigH was impeded. This reduced interaction could lead to a decreased inhibition of SigH by RshA, causing the up-regulation of the sigH gene. Coupled with the RNA polymerase, SigH would then up-regulate genes under its regulation, leading to tigecycline resistance. In general, this study enhances our understanding of tigecycline resistance mechanisms in M. abscessus, and contributes to the development of novel antibacterial therapies and diagnostic tools for managing M. abscessus infections.
Emitter design for efficient waveguide spectral lens
Authors: Ke Shijie , Ding Zhenming , Jiang Xinhong , Zhang Ziyang 
Published: October 2024

Abstract
As an alternative to arrayed waveguide gratings, the waveguide spectral lens (WSL) stands out with the ability to focus light in free space, thereby eliminating the need for relay optics between the chip and the camera. This becomes convenient when constructing a truly compact instrument for astronomical spectroscopic analysis. Besides dispersion and focusing, WSL offers another important function: the envelope of the diffraction orders can be manipulated via the output emitter, i.e. the waveguide array at the facet. Through careful emitter design, the diffraction efficiency can be largely improved because the side orders are well suppressed, and light is concentrated in the selected order. This feature, though particularly important for the photon-hungry astronomical application, has not been explored well in the previous works. Here, we come up with four emitter designs and evaluate their performance, including linear taper, parabolic taper, multimode interference (MMI), and slot MMI. A figure of merit considering both diffraction efficiency and uniformity is introduced to identify the optimal structure. Experimental results agree well with the simulation and confirmed that the optimal parabolic taper can achieve a diffraction efficiency of 90.9%, making it the most attractive design. This work highlights the potential of WSLs for astronomical spectroscopy with an efficiency that rivals conventional blazed gratings. It may also inspire emitter designs for side-lobe suppression in optical phased array applications.
Towards harmonization of SO(3)-equivariance and expressiveness: a hybrid deep learning framework for electronic-structure Hamiltonian prediction
Authors: Yin Shi , Pan Xinyang , Zhu Xudong , Gao Tianyu , Zhang Haochong , Wu Feng , He Lixin 
Published: October 2024

Abstract
Deep learning for predicting the electronic-structure Hamiltonian of quantum systems necessitates satisfying the covariance laws, among which achieving SO(3)-equivariance without sacrificing the non-linear expressive capability of networks remains unsolved. To navigate the harmonization between SO(3)-equivariance and expressiveness, we propose HarmoSE, a deep learning method synergizing two distinct categories of neural mechanisms as a two-stage encoding and regression framework. The first stage corresponds to group theory-based neural mechanisms with inherent SO(3)-equivariant properties prior to the parameter learning process, while the second stage is characterized by a non-linear 3D graph Transformer network we propose, featuring high capability on non-linear expressiveness. Their combination lies in the point that, the first stage predicts baseline Hamiltonians with abundant SO(3)-equivariant features extracted, assisting the second stage in empirical learning of equivariance; and in turn, the second stage refines the first stage’s output as a fine-grained prediction of Hamiltonians using powerful non-linear neural mappings, compensating for the intrinsic weakness on non-linear expressiveness capability of mechanisms in the first stage. Our method enables precise, generalizable predictions while capturing SO(3)-equivariance under rotational transformations, and achieves state-of-the-art performance in Hamiltonian prediction tasks under multiple mean absolute error (MAE) metrics, such as the average MAE across all samples and matrix elements, the MAE for challenging samples, the MAE for different Hamiltonian blocks, and the MAE for the challenging blocks. It also demonstrates significant improvements in accuracy for downstream quantities, such as occupied orbital energy and the electronic wavefunction, as measured by MAE and cosine similarity, respectively.
Interlayer excitons diffusion and transport in van der Waals heterostructures
Authors: Chen Yingying , Lin Qiubao , Wang Haizhen , Li Dehui 
Published: October 2024

Abstract
The assembly of monolayer transition metal dichalcogenides (TMDs) in van der Waals heterostructures yields the formation of spatially separated interlayer excitons (IXs) with large binding energies, long lifetimes, permanent dipole moments and valley-contrasting physics, providing a compelling platform for investigating and engineering spatiotemporal IX propagation with highly tunable dynamics. Further twisting the stacked TMD monolayers can create long-term periodic moiré patterns with spatially modified band structures and varying moiré potentials, featuring tailored traps that can induce strong correlations with density–dependent phase transitions to modulate the exciton transport. The rich exciton landscapes in TMD heterostructures, combined with advancements in valleytronics and twistronics, hold great promise for exploring exciton-integrated circuits base on manipulation of exciton diffusion and transport. In this Review, we provide a comprehensive overview of recent progress in understanding IXs and moiré excitons, with a specific focus on emerging exciton diffusion and transport in TMD heterostructures. We put emphasis on spatial manipulation of exciton flux through various methods, encompassing exciton density, dielectric environment, electric field and structure engineering, for precise control. This ability to manipulate exciton diffusion opens up new possibilities for interconverting optical communication and signal processing, paving the way for exciting applications in high-performance optoelectronics, such as excitonic devices, valleytronic transistors and photodetectors. We finally conclude this review by outlining perspectives and challenges in harnessing IX currents for next-generation optoelectronic applications.