Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular Mechanism of Salvia miltiorrhiza Bunge in Treating Cerebral Infarction

Background Cerebral infarction (CI) is a common brain disease in clinical practice, which is mainly due to the pathological environment of ischemia and hypoxia caused by difficult cerebral circulation perfusion function, resulting in ischemic necrosis of local brain tissue and neurological impairment. In traditional Chinese medicine (TCM) theory, CI is mainly due to blood stasis in the brain. Therefore, blood-activating and stasis-dissipating drugs are often used to treat CI in clinical practice. Salvia miltiorrhiza Bunge (SMB) is a kind of traditional Chinese medicine with good efficacy in promoting blood circulation and removing blood stasis, and treatment of CI with it is a feasible strategy. Based on the above analysis, we chose network pharmacology to investigate the feasibility of SMB in the treatment of CI and to study the possible molecular mechanisms by providing some reference for the treatment of CI with TCM. Methods The active ingredients and related targets of SMB were obtained through the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, and CI-related targets were obtained from the GeneCards and DisGeNET databases. The target of SMB for the treatment of CI was obtained using Cytoscape software and visualized. GO and KEGG enrichment analysis was performed based on “clusterProfiler” within R, and the prediction results were validated by molecular docking technique. Results By constructing a compound-target (C-T) network, it was found that the active components in SMB mainly treated CI by regulating key proteins such as AKT1, IL-6, and EGFR. These key proteins mainly involve in pathways such as immune regulation, cancer and lipid metabolism, such as lipid and atherosclerosis, chemical carcinogenesis-receptor activation pathways, and IL-17 signaling pathway. In the GO term, it mainly regulates the response to steroid hormones, membrane rafts, and G protein-amine receptor coupled activity. Eventually, we verified that the luteolin and tanshinone IIA components in SMB have a good possibility of action with AKT1 and IL-6 by in silico techniques, indicating that SMB has some scientificity in the treatment of CI. Conclusion SMB mainly treats CI by regulating 94 proteins involved in lipid and atherosclerosis, chemical carcinogenesis-receptor activation, and IL-17 signaling pathway. Our research strategy provided a template for the drug development of TCM for the treatment of CI.
Intelligent Shared Mobility Systems: A Survey on Whole System Design Requirements, Challenges and Future Direction

Shared Mobility Systems (SMS) facilitate on-demand journeys using one or more transportation modes such as car-sharing, bike-sharing, or ride-sharing. As a result, SMS often face challenges such as finding suitable facility locations, efficient routing of shared vehicles, matching and re-distributing available resources with dynamic demands. Most existing surveys study how a particular challenge is addressed using artificial intelligence, machine learning, and optimisation techniques. However, these surveys fail to address the crucial “Whole System Design” point of view, which includes the “whole system” of interconnected stakeholders, entities, and subsystems that participate in, impact, and influence the success of each other and system a whole. Such a survey is highly required with the growing demand for flexible SMS that supports autonomous decision-making and offers multi-modal and inter-operable transportation services catered for highly dynamic traffic conditions in urban areas. This paper attempts to fill this gap by categorising the SMS’ interconnected challenges in different transportation modes and reviewing how offered solutions across all modes address these challenges as a unified system.
Demystifying Muslim Consumer Religiosity: Does Sustainability Matter in Halal Food Industry?

The recent outbreak of COVID-19 has negatively impacted the global Islamic economy, including the Halal food industry. Despite the pandemic, the Halal food industry continues to survive due to the growing and diverse Muslim population. Thus, researchers focus has shifted to the global Muslim consumers, especially their religiosity. Over the past few years, substantialresearch has focused on the effect of religiosity in predicting behaviour. Nevertheless, current conceptualisation and operationalisation have limited understanding of the multidimensional nature of religiosity. As such, this scarcity may not reflect the entire phenomenon. This paper aims to identify the Muslim consumer religiosity factors concerning Halal food products. The findings from this study suggest five factors that contribute to Muslim consumer religiosity, including the socio-environmental aspects that are essential pillars of sustainability. This new finding suggests that future research explore the social and environmental responsiveness concerning Muslim consumers in order for Halal practitioners to develop sustainable strategies that cater to Muslim consumer preferences.
Asynchronous Control of Two-Dimensional Markov Jump Roesser Systems: An Event-Triggering Strategy

This paper mainly investigates the event-triggered asynchronous control problem for two-dimensional (2-D) Markov jump systems (MJSs) with varying state delays. The asynchronous phenomenon that characterized by the mismatched modes between system and controller is treated with a hidden Markov model (HMM). An event-triggering strategy is adopted in controller design to reduce the burden of the communication network. Linear matrix inequality (LMI) based sufficient conditions are developed such that the closed-loop system is asymptotically stable and satisfies a prescribed $\mathcal {H}_\infty$ noise attenuation performance index. Moreover, the event-triggered asynchronous control problem for systems without delays and the regular asynchronous control problem for systems with delays are studied as well, which can be treated as special cases of the main problem. Finally, an asynchronous controller design algorithm is proposed, whose effectiveness is demonstrated by two numerical examples.
Range shifts in butternut, a rare, endangered tree, in response to past climate and modern conditions

Range shifts are a key process that determine species distributions and genetic patterns. A previous investigation reported that Juglans cinerea (butternut) has lower genetic diversity at higher latitudes, hypothesized to be the result of range shifts following the last glacial period. However, genetic patterns can also be impacted by modern ecogeographical conditions. Therefore, we re‐investigate the genetic patterns of butternut with additional northern population sampling, hindcasted species distribution models and fossil pollen records to clarify the impact of glaciation on butternut.
Leap trajectory tracking control based on sliding mode theory for hypersonic gliding vehicle

The aim of this study was to develop robust tracking control schemes for the 3D leap trajectory of hypersonic gliding vehicles using sliding mode theory. A predictor-corrector guidance method was applied to the generation of the reference trajectory, and drag acceleration was selected as the profile of reference tracking. A combined super-twisting sliding mode controller (CST-SMC) is proposed to decrease the tracking error and guarantee the tracking performance in the presence of system nonlinearities compared to three other common controllers: the linear sliding mode controller (L-SMC), global fast terminal sliding mode controller (GFT-SMC), and super-twisting sliding mode controller (ST-SMC). By using the developed controller, the system state of a second-order drag acceleration tracking error system can approach the global fast terminal sliding manifold in finite time. By using the Lyapunov approach, sufficient conditions are deduced to ensure that the tracking performance is obtained for a closed-loop system. Furthermore, we show that the controller is robust to initial uncertain parameters and other perturbations, as validated by simulation results with appropriate gains.
The Application of Minority Music Style Recognition Based on Deep Convolution Loop Neural Network

In recent years, with the development of Internet and digital audio technology, music information retrieval has gradually become a research hotspot. Due to the rise of deep learning and machine learning in recent years, as well as the rapid improvement of computer software and hardware performance, it has laid a good foundation for identifying different genres of music. Among them, the application of minority music style recognition is also an important research direction. At present, the application performance of minority music style recognition based on deep convolution loop neural network is poor. Because convolution loop neural networks (CNNs) have strong ability to capture information features, this paper uses CNN to extract various features from music signals and classify them. Firstly, the original music signal spectrum is separated into time characteristic harmonic component and frequency characteristic impact component by using the harmonic/percussive sound separation (HPSS) algorithm. Combined with the original spectra as the input of CNN, the network structure of CNN is designed, and the influence of different parameters in the network structure on the recognition rate is studied. Experiments on minority music data sets, compared with other scholars’ music recognition methods, it shows that this method can effectively improve the recognition of minority music styles using a single feature.
CRPC Membrane-Camouflaged, Biomimetic Nanosystem for Overcoming Castration-Resistant Prostate Cancer by Cellular Vehicle-Aided Tumor Targeting

Castration-resistant prostate cancer (CRPC) is the most common malignant tumor of the male urinary system. Nanodrug delivery systems (NDDS) have been widely applied in drug delivery for tumor therapy; however, nanotherapeutics encounter various biological barriers that prevent successful accumulation of drugs, specifically at diseased sites. Therefore, there is an urgent need to develop a CRPC-targeting nanocomposite with fine biocompatibility for penetrating various biological barriers, delivering sufficient drugs to the targeting site and improving therapeutic efficiency. In this work, CRPC cell membranes were firstly adapted as biomimetic vectors for the encapsulating PEG−PLGA polymer containing the chemotherapy drug docetaxel (DTX). The CRPC membrane-camouflaged nanoparticles can easily escape early recognition by the immune system, penetrate the extracellular barrier, and evade clearance by the circulatory system. In addition to the characteristics of traditional nanoparticles, the CRPC cell membrane contains an arsenal of highly specific homotypic moieties that can be used to recognize the same cancer cell types and increase the targeted drug delivery of DTX. In vivo fluorescence and radionuclide dual-model imaging were fulfilled by decorating the biomimetic nanosystem with near-infrared dye and isotope, which validated the homotypic targeting property offered by the CRPC cell membrane coating. Importantly, remarkably improved therapeutic efficacy was achieved in a mice model bearing CRPC tumors. This homologous cell membrane enabled an efficient drug delivery strategy and enlightened a new pathway for the clinical application of tumor chemotherapy drugs in the future.
Expression and Bioinformatics Analysis of Key miRNAs in Stored Red Blood Cells

Introduction: Erythrocyte transfusion is the most common therapeutic procedure in hospitalized patients. Adding standard preservatives to red blood cells allows them to be stored for up to 42 days. However, whether storage has an effect on the erythrocyte transcriptome has not been well-studied. Objective: This study was designed to explore the change of key risk microRNA (miRNAs) in stored erythrocytes. Methods: We reanalyzed differentially expressed genes in the gene expression dataset GSE114990 and predicted their target genes, followed by experimental Gene Ontology (GO) analysis and (Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Furthermore, the PPI network of target genes was constructed by the STRING database, and the module analysis was carried out. Results: We found two differential miRNAs, which were hsa-miR-1245a and hsa-miR-381. Enrichment analysis of GO and KEGG pathways confirmed that these target genes were significantly enriched in organ and system development, anchoring junction, transcription factor binding, and pathways of cancer. Conclusion: The results suggest that the miRNAs hsa-miR-381 and hsa-miR-1245a may serve as biomarkers for storage products of erythrocytes.
Can Diet Prevent Urological Cancers? An Update on Carotenoids as Chemopreventive Agents

Urological cancers, namely prostate, bladder, kidney, testicular, and penile cancers, are common conditions that constitute almost one-quarter of all malignant diseases in men. Urological cancers tend to affect older individuals, and their development is influenced by modifiable metabolic, behavioral, and environmental risk factors. Phytochemicals may have cancer-fighting properties and protect against cancer development, slow its spread, and reduce the risk of cancer deaths in humans. This paper aims to review the current literature in regard to the effects of carotenoids in reducing urological cancer risk.
Probing Photoreceptor Outer Segment Phagocytosis by the RPE In Vivo: Models and Methodologies

In the vertebrate retina, the light-sensitive photoreceptor rods and cones constantly undergo renewal by generating new portions of the outer segment and shedding their distal, spent tips. The neighboring RPE provides the critical function of engulfing the spent material by phagocytosis. RPE phagocytosis of shed rod outer segment fragments is a circadian process that occurs in a burst of activity shortly after daily light onset with low activity at other times, a rhythm that has been reported for many species and over 50 years. In this review, we compare studies on the rhythm and quantity of RPE phagocytosis using different in vivo model systems and assessment methods. We discuss how measurement methodology impacts the observation and analysis of RPE phagocytosis. Published studies on RPE phagocytosis investigating mice further suggest that differences in genetic background and housing conditions may affect results. Altogether, a comparison between RPE phagocytosis studies performed using differing methodology and strains of the same species is not as straightforward as previously thought.
Physics of plasma jets and interaction with surfaces: review on modelling and experiments

Plasma jets are sources of repetitive and stable ionization waves, meant for applications where they interact with surfaces of different characteristics. As such, plasma jets provide an ideal testbed for the study of transient reproducible streamer discharge dynamics, particularly in inhomogeneous gaseous mixtures, and of plasma–surface interactions. This topical review addresses the physics of plasma jets and their interactions with surfaces through a pedagogical approach. The state-of-the-art of numerical models and diagnostic techniques to describe helium jets is presented, along with the benchmarking of different experimental measurements in literature and recent efforts for direct comparisons between simulations and measurements. This exposure is focussed on the most fundamental physical quantities determining discharge dynamics, such as the electric field, the mean electron energy and the electron number density, as well as the charging of targets. The physics of plasma jets is described for jet systems of increasing complexity, showing the effect of the different components (tube, electrodes, gas mixing in the plume, target) of the jet system on discharge dynamics. Focussing on coaxial helium kHz plasma jets powered by rectangular pulses of applied voltage, physical phenomena imposed by different targets on the discharge, such as discharge acceleration, surface spreading, the return stroke and the charge relaxation event, are explained and reviewed. Finally, open questions and perspectives for the physics of plasma jets and interactions with surfaces are outlined.
INTEGRATION OF QUALITY MANAGEMENT SYSTEM (QMS) AND ENVIRONMENTAL MANAGEMENT SYSTEM (EMS) - A STUDY IN INDIAN AUTO COMPONENT INDUSTRY

Business organisations are implementing more than one management system, including systems for quality management, environmental management, safety and hygiene and so on. Most of these systems focus on generating competitive advantage to the organisations, and the onus is on integration of these systems to the extent possible. This research paper is based on a study on the Indian auto component industry. In the early nineties, with the entry of the multinational OEMs (Original Equipment Manufacturers) in to the Indian market, the local component manufacturers had to gear up to deliver world class components. In the process, various management systems such as QS 9000 and ISO 14001 were implemented. This paper throws light on how the QS 9000 Quality Management System and ISO 14001 environmental system are an integrated approach for better competitiveness.
Metabolic profiling of serum and urine in lactating dairy cows affected by subclinical ketosis using proton nuclear magnetic resonance spectroscopy

Abstract Ketosis is associated with high milk yield during lactating or insufficient feed intake in lactating dairy cows. However, few studies have been conducted on the metabolomics of ketosis in Korean lactating dairy cows. The present study aimed to investigate the serum and urine metabolites profiling of lactating dairy cows through proton nuclear magnetic resonance (1H-NMR) spectroscopy and comparing those between healthy (CON) and subclinical ketosis (SCK) groups. Six lactating dairy cows were categorized into CON and SCK groups. All experimental Holstein cows were fed total mixed ration. Serum and urine samples were collected from the jugular vein of the neck and by hand sweeping the perineum, respectively. The metabolites in the serum and urine were determined using 1H-NMR spectroscopy. Identification and quantification of metabolites was performed by Chenomx NMR Suite 8.4 software. Metabolites statistical analysis was performed by Metaboanalyst version 5.0 program. In the serum, the acetoacetate level was significantly (p < 0.05) higher in the SCK group than in the CON group, and whereas acetate, galactose and pyruvate levels tended to be higher. CON group had significantly (p < 0.05) higher levels of 5-aminolevulinate and betaine. Indole-3-acetate, theophylline, p-cresol, 3-hydroxymandelate, gentisate, N-acetylglucosamine, N-nitrosodimethylamine, xanthine and pyridoxine levels were significantly (p < 0.05) higher in the urine of the SCK group than that in the CON group, which had higher levels of homogentisate, ribose, gluconate, ethylene glycol, maltose, 3-methyl-2-oxovalerate and glycocholate. Some significantly (p < 0.05) different metabolites in the serum and urine were associated with ketosis diseases, inflammation, energy balance and body weight. This study will be contributed useful a future ketosis metabolomics studies in Korea.
Cooperative Beamforming for Multi-User Multi-Relay Cognitive Radio Networks Based on Second-Order Statistics of Channel State Information

This paper has investigated linear beamforming techniques in relay networks with one source and multiple relays and destinations with the goal to determine the beamforming matrix so that the signal to noise plus interference ratio at the destination is maximized subject to different power constraints. Two power constraints were considered here: 1a total (source and relay) power constraint and 2- individual relay power constraints. The key point of this paperwas tha only the second order statistics of channel state information (CSI) was proposed for use which is a more realistic scenario than the case where instantaneous CSI is assumed to be perfectly known at the relay place. It was considered that the source is equipped with multiple transmit antennas and hence it transmits a vector of several symbols at each time. Based on a former work of (J. Li, A. P. Petropulu and H. V. Poor 2011), this new optimization problem was solved and it was shown that despite some losses when compared to the case of zero forcing (ZF) precoding with perfect channel state information (CSI), the obtained results clearly show that second order statistics based beamforming algorithms are good candidates to reliably support multiple parallel data streams with SINR requirements in multiuser multirelay systems.
Linking Categorical and Dimensional Approaches to Assess Food-Related Emotions

Reflecting the two main prevailing and opposing views on the nature of emotions, emotional responses to food and beverages are typically measured using either (a) a categorical (lexicon-based) approach where users select or rate the terms that best express their food-related feelings or (b) a dimensional approach where they rate perceived food items along the dimensions of valence and arousal. Relating these two approaches is problematic since a response in terms of valence and arousal is not easily expressed in terms of emotions (like happy or disgusted). In this study, we linked the dimensional approach to a categorical approach by establishing mapping between a set of 25 emotion terms (EsSense25) and the valence–arousal space (via the EmojiGrid graphical response tool), using a set of 20 food images. In two ‘matching’ tasks, the participants first imagined how the food shown in a given image would make them feel and then reported either the emotional terms or the combination of valence and arousal that best described their feelings. In two labeling tasks, the participants first imagined experiencing a given emotion term and then they selected either the foods (images) that appeared capable to elicit that feeling or reported the combination of valence and arousal that best reflected that feeling. By combining (1) the mapping between the emotion terms and the food images with (2) the mapping of the food images to the valence–arousal space, we established (3) an indirect (via the images) mapping of the emotion terms to the valence–arousal space. The results show that the mapping between terms and images was reliable and that the linkages have straightforward and meaningful interpretations. The valence and arousal values that were assigned to the emotion terms through indirect mapping to the valence–arousal space were typically less extreme than those that were assigned through direct mapping.
Monitoring of growth and biochemical composition of Dunaliella salina and Dunaliella polymorpha in different photobioreactors

In this study, the isolation of green algae were collected from two different stations of Aegean Sea and Seyfe Lake. The molecular identification of Dunaliella species using their 18S ribosomal DNA genes were sequenced and investigated with the BLAST program in the NCBI database. After the morphological and molecular identification, two different Dunaliella species were deposited in Ege University Microalgae Culture Collection. D. salina and D. polymorpha cells were firstly produce in both bubble column to monitor the growth profiles and then the species were cultivated in bubble column and stirred column photobioreactors (PBRs) under both high light intensity and different mixing conditions to investigate the total protein, carbohydrate, lipids and carotenoid concentrations. Moreover, this study aims to evaluate the production of β-carotene using two different PBRs. As a result of this study, D. salina in stirred PBR obtained the highest lipid (334.79 ±0.02 mg/L), total carotenoid (96.7 ±0.02 mg/L), and β-carotene content (21.18 ±0.03 µg/mL), while the maximum dry cell mass of 0.906 g/L was reached by D. polymorpha in bubble column PBR. The aim of this study was to investigate the nutritional values and β-carotene content of Dunaliella salina and D. polymorpha isolated from Turkey.