Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of the Intelligent Sensing Model for Environmental Information in Aquaculture Waters Based on the 5G Smart Sensor Network

This paper adopts a 5G smart sensor network to design intelligent sensing of environmental information in aquaculture waters, and in this way, we study the significance of optimizing the intelligent sensing model. Microservice architecture and big data analysis and processing will become the innovation of technology in the new era. In this regard, it is very important to study a set of aquarium monitoring and management system based on microservice architecture, so that users can understand the changes in the environment in the aquarium, manage a large amount of historical data quickly, and help users solve existing problems. The design pattern of MVVM architecture, unified management of the life cycle, and microservice architecture make the system very easy to expand and maintain; secondly, it realizes the automatic monitoring of the aquarium environment while making multilevel storage optimization for a large amount of data and realizes fast retrieval of a large amount of data; finally, the system can make intelligent regulation in the environmental control of ornamental fish and can automatically adapt to the environmental requirements of different ornamental fish. Finally, the system can make intelligent control in the environment control of ornamental fish and can automatically adapt to the needs of different ornamental fish environments. After testing its server concurrent processing capability, communication stability, and Android performance, the system runs stably. This paper analyzes the architecture module reuse rate and protocol performance; the module reuse rate analysis results show that the various types of modules in the architecture are reused many times and have strong generality, which effectively reduces the development cycle and development cost, and the architecture can quickly and efficiently integrate hardware units such as sensors, actuators, and communication modules; the protocol performance analysis shows that the designed protocol has high communication performance and meets the architecture. The protocol performance analysis shows that the designed protocol has high communication performance and meets the requirements of the architecture in terms of the transmission rate. At the same time, the edge computing module of the architecture further shifts down the edge computing tasks and lays the hardware foundation for the subsequent implementation of sensor data anomaly detection, data encryption transmission, and other functions.
Micropollutant transformation and toxicity: Electrochemical ozonation versus biological metabolism

Environmental water sources are constantly polluted by anthropogenic compounds, not always minimized by conventional water treatment methods to remove these compounds at the micro- and nano-range. The absolute concentrations of a suite of seven representative environmental micropollutants were compared pre- and post-treatment with both ozone and microbial biofilms, in terms of removal efficiencies and toxicity assays. Both synthetic micropollutant mixes and environmental water samples were evaluated. The study started with two representative micropollutants (carbamazepine, CBZ, and sulfamethoxazole, SMX), and broadened into a suite of pollutants, evaluating whole-sample eco-toxicological footprints. An ozone concentration of 4.24 ± 0.27 mg/L in tap water, resulted in an 87.9% and 96.5% removal of CBZ and SMX, respectively, within 1 min. Despite almost immediate removal of parent micropollutants by oxidation, endocrine disruption potential (anti-estrogenicity) of CBZ and SMX required up to 240 min of ozone treatment to show no assay effect. A broader suite of micropollutants in more complex environmental matrices showed scavenging of ozone (2.95 ± 0.17–0.25 ± 0.03 mg/L) and varying micropollutant recalcitrance to oxidation. Lower matrix pollution led to lower reduction in eco-toxicity. Microbial degradation of CBZ and SMX (56% and 70% versus 19% and 79%, respectively, in duplicate biofilms) by nutrient-limited biofilms showed less removal than ozonation, with marked variation due to the stochastic nature of biofilm sloughing. Microbial degradation of CBZ and SMX resulted in an increase of >90% in both estrogenicity and Aliivibrio inhibition. The results obtained from this study address a gap in understanding the removal efficiency of micropollutants, where the removal process often receives more attention than the comparative reduction of toxicological effects. This shift from a controlled laboratory environment to real-world scenarios also provided comparative insights into the removal of micropollutants and the eco-toxicity of the transformation by-products of each process.
State-Feedback Control for Cyber-Physical Discrete-Time Systems under Replay Attacks: An LMI Approach

This paper addresses the state-feedback control problem for cyber-physical discrete-time linear systems. The main goal is to design state-feedback controllers that can mitigate the interference of replay attacks in the stability of the closed-loop system. The system under replay attack is modeled as a switched linear system, and a packet-based approach is employed for control design. New conditions in the form of Linear Matrix Inequalities are presented to provide stabilizing controllers. Numerical experiments illustrate the effectiveness of the proposed method.
The Hencky strain energy ‖log U‖2 measures the geodesic distance of the deformation gradient to SO(n) in the canonical left‐invariant Riemannian metric on GL(n)

The well‐known isotropic Hencky strain energy appears naturally as a distance measure of the deformation gradient to the set of rigid rotations in a canonical left‐invariant Riemannian metric on the general linear group GL(n). Objectivity requires the Riemannian metric to be left‐GL(n) invariant, isotropy requires the Riemannian metric to be right‐O(n) invariant. The latter two conditions are satisfied for a three‐parameter family of Riemannian metrics on the tangent space of GL(n). Surprisingly, the final result is basically independent of the chosen parameters.
Construction of English Intelligent Translation Software Framework Based on Data Analysis Algorithm

In the era of “Internet + education,” the information technology and learning methods of college students have become inseparable. The rapid development of intelligent translation software can provide convenience for English-Chinese translation and computer English learning and simultaneously improve the quality and efficiency of professional English learning. Under such background, the English teaching of software majors is chosen as the breakthrough to analyze the measures of applying intelligent translation software during the teaching process. Therefore, a data mining algorithm including cluster analysis and BP neural network model is designed. Then, the cluster analysis algorithm is used to classify the data in different forms, which can improve the data utilization efficiency. In addition, K-means algorithm based on feature selection is improved to achieve better performance. In the comparison of translation speed and matching rate, our method is much better than other software.
Morphometry and allometry of free-living olive ridley sea turtles (Lepidochelys olivacea) from the Mexican Central Pacific

Research on olive ridley sea turtle (Lepidochelys olivacea) has emphasized egg-laying females and neonates, using data collected on nesting beaches, but no systematic studies on morphological characteristics by size and sex have been published. This research describes the morphometry of free-living olive ridley sea turtles from coastal and oceanic waters of the Mexican Central Pacific captured and released from 2011 through 2013. A total of 3469 km was surveyed, and 142 sea turtles were evaluated by sex, size class, marine area, and geographic region for nine corporal measurements and their allometric relationships. The average curved carapace length (CCL) was 62.12 cm, range 42-94 cm. Significant differences were found by sex and size class with total tail length (TTL) (♂ = 26.33 cm, ♀ = 12.4 cm); similarly with vent to tail tip length (VTTL) (♂ = 6.38 cm, ♀ = 3.86 cm); and for rear flipper length (RFL) (♂ = 28.17 cm, ♀ = 38.62 cm, immatures = 23.80 cm). Turtles from the coastal region of Colima-Michoacán showed longer CCL = 62.46 cm and wider CW = 66.58 cm. Adult female RFLs showed positive allometry, b = 1.098, suggesting an accelerated growth of the posterior extremities, probably favoring reproductive behaviors, e.g. nest digging and egg-covering. Morphological differences were likely due to ontogenetic sexual distinctions rather than marine area or geographic differences.
Assessment of “The Serious Learner” Outdoor Concrete Statue in TTU, Ghana: A Restoration Process (Before and After)

This paper assesses the restoration process (before and after) of "The Serious Learner”, an outdoor concrete statue found at the forecourt of Oduro block, Takoradi Technical University (TTU)-Ghana. Direct observations and unstructured interviews under the qualitative research method were employed to elicit data from respondents such as art lecturers and students of the Sculpture Department, TTU. Data were analyzed using archival studies, descriptive and visual analysis tools with a studio-based process. The study revealed that "The Serious Learner" outdoor concrete statue formed an integral element of landscaping at the Oduro block, TTU. However, significant features such as the pedestal, body parts, lighting system and finishes of the outdoor statue have deteriorated due to weathering and had received no restoration since its erection. Repairs and management of artefacts in public space, not only in TTU, should be performed every two years to ensure their longevity and posterity as conservation and restoration method is significant in outdoor sculptures.
Effects of Reactive Oxygen Species, Lipids Peroxidation, and Total Antioxidant Capacity on Sperm Morphological Functional Characteristics and Quality Embryological Development ICSI Outcomes

The present study aims to evaluate the effects of seminal Reactive oxygen species (ROS), lipids peroxidation, and total antioxidant capacity (TAC) on the traditional and functional semen characteristic analysis and quality intracytoplasmic sperm injection (ICSI) outcomes. The study group demonstrated that the elevated levels of seminal ROS and lipids peroxidation greatly reduced sperm concentration, total sperm count, total motility, normal morphology, and seminal TAC and increased seminal leukocytes count compared to control group. In the study group, the elevated levels of seminal ROS and lipids peroxidation markedly attenuated fertilization, cleavage, and blastocysts formation rates and decreased D3 and D5 top quality embryos development grade compared to control group. Finally, the study results indicated that administration of antioxidant supplementation can improve sperm characteristic parameters and quality ICSI outcomes, decrease levels of seminal ROS and lipids peroxidation, and increase its TAC level.
Hybrid Flower Pollination Algorithm and Binary Particle Swarm Optimization Algorithm for Osteosarcoma Detection

: Generally, Osteosarcoma is represented as malignant bone sarcoma which is typified by an extensive genomic disruption and a proclivity for metastatic extend. Due to the early recognition, Osteosarcoma raises the human beings' survival rate. During the early phase, several Osteosarcoma recognition approaches are developed in order to recognize the Osteosarcoma, however, evaluating the slides in the microscope to identify the tumor necrosis degree and tumor outcome is an important challenge in the medical segment. Therefore, an effectual recognition approach is modeled by exploiting the adopted Hybrid Flower Pollination algorithm with the Binary Particle Swarm Optimization algorithm based Generative Adversarial Network (FPO-BPSO based GAN) to detect the osteosarcoma during the initial phase. Moreover, the adopted FPO-BPSO is modeled using the combination of FPA and BPSO, correspondingly. As a result, the classification of the important tumor, non-tumor, as well as necrotic tumor is performed using GAN by exploiting the histology image slides. GAN is exploited to carry out the osteosarcoma recognition based on features extracted from the image via the cell segmentation process. The GAN training process is performed by exploiting the adopted Hybrid FPO-BPSO approach. Nevertheless, the adopted FPO-BPSO attained superior performance by exploiting the measures, like accuracy, sensitivity, and specificity.
Microneedle Patch Delivery of Methotrexate-Loaded Albumin Nanoparticles to Immune Cells Achieves a Potent Antipsoriatic Effect

Introduction Transdermal drug delivery provides a desirable alternative method of penetrating the skin for psoriasis treatment, by virtue of its ability to dampen the overactivation of immune cells and inflammation, while attenuating the detrimental effects of systemic administration. Lymph nodes (LNs), as a critical organ of the lymphatic and the acquired immune system, are suitable sites for drug homing to suppress the immune cells. Methods In this context, we developed a microneedle (MN) patch that delivers nanodrugs locally to LNs for improving the antipsoriatic treatment. In this study, human serum albumin nanoparticles carrying methotrexate (HM) were synthesized and loaded into hyaluronic acid (HA)-based microneedles (HM/MN). Results The patch showed an excellent ability to pierce the skin, which enhanced drug delivery. In a mouse model of psoriasis, the HM/MN patch significantly prevented the erythema with decreased skin thickness, thus inhibiting the progression of psoriasis. Further analysis for immune cells in LNs, the percent of dendritic cells (DC) and T cells reduced after the local treatment with HM/MN. Notably, the feasibility of targeted delivery of methotrexate to LNs using nanoparticles was verified by detecting increased accumulation of methotrexate in LNs. In addition, the HM/MN patch pronouncedly decreased the levels of tumor necrosis factor α and interleukin 6 in the skin. Conclusion The results suggested the high efficacy of using the HM/MN patch to treat psoriasis, and provided new insight into the mechanism of the transdermal drug delivery system.
Transcriptomic Analysis Reveals the Correlation between End-of-Day Far Red Light and Chilling Stress in Setaria viridis

Low temperature and end-of-day far-red (EOD-FR) light signaling are two key factors limiting plant production and geographical location worldwide. However, the transcriptional dynamics of EOD-FR light conditions during chilling stress remain poorly understood. Here, we performed a comparative RNA-Seq-based approach to identify differentially expressed genes (DEGs) related to EOD-FR and chilling stress in Setaria viridis. A total of 7911, 324, and 13431 DEGs that responded to low temperature, EOD-FR and these two stresses were detected, respectively. Further DEGs analysis revealed that EOD-FR may enhance cold tolerance in plants by regulating the expression of genes related to cold tolerance. The result of weighted gene coexpression network analysis (WGCNA) using 13431 nonredundant DEGs exhibited 15 different gene network modules. Interestingly, a CO-like transcription factor named BBX2 was highly expressed under EOD-FR or chilling conditions. Furthermore, we could detect more expression levels when EOD-FR and chilling stress co-existed. Our dataset provides a valuable resource for the regulatory network involved in EOD-FR signaling and chilling tolerance in C4 plants.
Risk Transmission of Trade Price Fluctuations from a Nickel Chain Perspective: Based on Systematic Risk Entropy and Granger Causality Networks

Nickel is a strategic mineral resource, with 65% of nickel being used in stainless steel. The situation in Ukraine starting in February 2022 has led to significant fluctuations in nickel prices, with prices of nickel products along the same chain affecting and passing through each other. Using systematic risk entropy and granger causality networks, we measure the volatility risk of trade prices of nickel products using the nickel industry chain trade data from 2000–2019 and explore the transmission patterns of different volatility risk prices from the industry chain perspective. The findings show that: (1) Nickel ore has the highest risk of import trade price volatility and a strong influence, but low risk transmission. Stainless steel has the highest trade price impact but is also subject to the strongest passive influence. (2) The Americas have a higher risk of trade price volatility but a weaker influence. The influence and sensitivity of trade prices is stronger in Asia and Europe. (3) Indonesia’s stainless steel export prices have a high rate of transmission and strong influence. Germany’s ferronickel export prices are highly susceptible to external influences and can continue to spread loudly. Russian nickel ore export prices are able to quickly spread their impact to other regions.
The impact of the COVID‐19 pandemic on the care of pulmonary hypertension patients outside the Hubei province in China

Abstract The Coronavirus disease 2019 (COVID‐19) pandemic has severely affected the lives of people around the world, especially some patients with severe chronic diseases. This study aims to evaluate the impact of the COVID‐19 outbreak from December 2019 to April 2020 on treating patients with PH. A questionnaire regarding the medical condition of PH patients during the COVID‐19 pandemic was designed by PH diagnostic experts in The First Affiliated Hospital of Guangzhou Medical University, China Respiratory Center. One hundred and fifty‐six subjects with PH from non‐Hubei regions in China were invited to participate in this survey online. 63.4% (n = 99) of them had difficulty seeing a doctor, and the main reason was fear of contracting severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) in the hospital. Medical treatment was affected in 25% (n = 39) of patients, and who lived in rural areas, and discontinued medical therapy for financial reasons were at a higher risk of medical treatment being affected. Patients who reduced nutrition, and had difficulty seeing a doctor were more likely to get deteriorated. During the epidemic, the hospitalization rate of PH patients was 33.33%. Patients with aggravated PH had a high risk of hospitalization (odds ratio [OR] = 2.844), while patients who visited a doctor during the epidemic reduced the risk of hospitalization (OR = 0.33). In conclusion, during the COVID‐19 pandemic, PH patients had difficulty seeing a doctor, and their medical treatment was affected, even worsened, and increased the risk of hospitalization.
Time Series Similarity for Detecting DDoS Flooding Attack

Nobody can deny that network-based computer systems have become an essential part of our daily life especially after the COVID-2019 pandemic. These systems are extremely important in our personal and professional lives, especially now that people all around the world are working, studying, shopping, and having fun online in unprecedented numbers. On the other hand, the rise in attacks has paralleled the rapid advancement of network connectivity and service accessible technologies.
Implications of the correlation between radio and far-infrared emission for spiral galaxies

A theory is proposed for the correlation between radio continuum (RC) and thermal far-infrared (FIR) radiation for normal spiral galaxies. In this theory, we assume global energy outputs of the FIR and cosmic rays to be proportional to the star formation rate, and adopt energy equipartition between cosmic rays and the interstellar magnetic field so as to keep dynamical stability and steady star formation in the galaxies. It is shown that the tight correlation between the RC and FIR emission results from a steady star formation process in the galaxies rather than both of them being simply from the same source. An important feature of the model is that, in the majority of galaxies, most of the cosmic ray electrons responsible for the radio emission at the observed frequencies escape. An approximate solution to the problem of electron propagation with a free escape boundary condition is derived and the emissivity of synchrotron radio emission is calculated. Direct evidence for the theory is the prediction of a non-unity slope for the correlation between RC and FIR, and this is observed. From small and less luminous galaxies to large and more luminous ones, we predict that there is a turning point above which most of the electrons will be trapped in the galaxies rather than escaping, and correspondingly the slope of the correlation will become unity. From a sample of data, we find this trend.
A Review of Immigrant Experiences during Trump Administration and COVID-19: Differences by Race

Purpose: Immigrants comprise about 14% of the existing population of the United States. The period under Trump administration and COVID-19 in particular have been challenging for immigrants. The goal of this review was to present a landscape of immigrants in the US and their experiences during the exclusionary environment under Trump administration and the pandemic. Method: The study presents descriptive findings and chi-square results utilizing data collected from a survey. Our sample (N = 490) was collected during the early 2021. Results: Findings indicate differences in COVID experiences, stress impact as a result of travel bans, and resiliency by race. Minority communities compared to those who were White were disproportionately impacted. Discussion and Conclusion: By drawing on the literature, research and policy briefs and the study data, we discuss mental health implications and increased discrimination against immigrants. We propose ways in which researchers, practitioners and policy advocates can enhance support for immigrants. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
The Coloniality of Linguistic Entrepreneurship

Neoliberalism as a lens through which language learning—and by extension education in general—is viewed is insufficient in accounting for the transforming nature of education and language learning today. In other words, the neoliberalism of education and language learning—operationalized, for example, through the practices and ideologies of linguistic entrepreneurship— is imbricated in histori-cally-mediated sociopolitical relations. This can be exemplified by the case of the Philippines where entrepreneurial discourses and practices ‒ for example, language learning for employment opportunities, pursuit for profit and as a moral obliga-tion to society—are historically traceable to the Philippines’ enduring encounters and confrontations with 20 th century (neo)colonialism. Linguistic entrepreneurship fittingly describes the dispositions, practices and ideologies of the neoliberal language learner, but as soon as this language learner becomes the neoliberal Filipino speaker, it becomes politically imperative to historically unpack the ‘Filipino’ in language learning. In this sense education and language learning are characterized primarily by their coloniality, mediated by the logics of neoliberalism; linguistic entrepreneurship is mobilized in conditions of coloniality.