Miracle-dz/UniFAR-FTUs huggingface dataset:
A Stability Extensible Symplectic FDTD(4,4) Method and Its Application in Subgrid Technique for Arbitrary Grid Ratios

This communication presents a novel algorithm, namely, the 3-D stability extensible spatial-filtering symplectic finite-difference time-domain method (SF-SFDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}})$ </tex-math></inline-formula> algorithm, as an enhancement to the traditional finite-difference time-domain (FDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(2,2)}})$ </tex-math></inline-formula> method. The symplectic FDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}}$ </tex-math></inline-formula> method, which exhibits higher-order numerical accuracy in both temporal and spatial domains, is utilized as the basis for this algorithm. The primary objective of this research is to overcome the limitations imposed by the Courant–Friedrich–Levy (CFL) condition. To achieve this, the study leverages the SF technique to establish an enlarged CFL condition within the proposed SF-SFDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}}$ </tex-math></inline-formula> algorithm. Additionally, a novel hybrid subgrid technique is introduced to accommodate arbitrary coarse/dense grid ratios within the simulation domain. Specifically, the standard FDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(2,2)}}$ </tex-math></inline-formula> method is employed in the coarse grid region, while the proposed SF-SFDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}}$ </tex-math></inline-formula> method is applied to the dense grid region. This approach ensures that the entire simulation can employ the same time increment determined by the stability condition of the coarse grid, owing to the highly stable characteristic of the SF-SFDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}}$ </tex-math></inline-formula> method. To confirm the accuracy and advantages of the proposed SF-SFDTD<inline-formula> <tex-math notation="LaTeX">$^{\mathrm {(4,4)}}$ </tex-math></inline-formula> algorithm and its extended method of hybrid subgrid technique, some numerical examples are carried out. The results demonstrate the efficacy of the algorithm in terms of both efficiency and memory requirement.
An IRF method for stochastic meshless analysis of 2D beams with lognormally varying random Young's modulus

The current paper proposes to use an improved response function (IRF) method for stochastic meshless analysis of a 2D beam wherein Young’s modulus is assumed to vary as a lognormal random field. The meshless tool used in the present study is the element-free Galerkin method. In IRF method, the total displacement response is evaluated in each simulation by adding a deterministic part and an IRF. This displacement decomposition combined with the stiffness modelling using the second order expansion of Taylor series is substituted in the stochastic system of equations to find the expressions for the deterministic solution and the IRF. The deterministic solution evaluation is possible outside the loop for simulation and the expression for IRF involves only simple algebraic operations to be carried out inside the simulation loop. A 2D beam with cantilever boundary conditions loaded at the free end with a parabolic traction is analysed and the response moments are determined using the IRF method proposed. The first two moments of response obtained are observed to be matching well with the MCS moments even at higher values of coefficient of variation. The IRF method proposed also produces the distributions of response comparable with the distributions evaluated using MCS. The difference in response moments evaluated using IRF method and the second order perturbation method is in the acceptable limit. The computational efficiency of the IRF method is evidently better compared to MCS.
Moderated Mediation Model: Factors That Effect Brand Loyalty in Medical Aesthetic Clinics in Thailand

The purpose of this research is to investigate the factors that affect brand loyalty in medical aesthetic clinics in Thailand. The methodological approach used in this research is to demonstrate moderated mediation model concurrently investigated the effects of more than one moderating and mediating variable in a single model. Moreover, this study examined the mediating role of brand awareness, brand image, and brand trust to illustrate the effect of an online brand community on brand loyalty in the medical aesthetic clinic in Thailand and the model also examines the moderating effect of influencer marketing and electronic word of mouth (eWOM) on these mediated relationships. A survey was conducted with a total of 417 respondents who experienced aesthetic clinics and joined the online clinic brand community on the Meta platform in the last 3-6 months, and the collected data were analyzed through structural equation modeling techniques with the AMOS and PROCESS macro was applied. The empirical results concluded that the relationship between an online brand community variable on brand loyalty was partially mediated by brand awareness, brand image, and brand trust. Additionally, it showed that the interaction between brand awareness and eWOM has a significant positive impact on brand loyalty which suggests moderating effect of eWOM. In summary, the effect of brand loyalty in an online brand community demonstrated that brand awareness, brand image, and brand trust can be used as mediators in the medical aesthetic clinic market. Influencer marketing and eWOM can be used as a moderator in the emergence of a different environment and demographic segment.
Serine-associated one-carbon metabolic reprogramming: a new anti-cancer therapeutic strategy

Tumour metabolism is a major focus of cancer research, and metabolic reprogramming is an important feature of malignant tumours. Serine is an important non-essential amino acid, which is a main resource of one-carbon units in tumours. Cancer cells proliferate more than normal cells and require more serine for proliferation. The cancer-related genes that are involved in serine metabolism also show changes corresponding to metabolic alterations. Here, we reviewed the serine-associated one-carbon metabolism and its potential as a target for anti-tumour therapeutic strategies.
Exploring the Relationship between Touristification and Commercial Gentrification from the Perspective of Tourist Flow Networks: A Case Study of Yuzhong District, Chongqing

Existing research has noted a clear interaction between touristification and commercial gentrification; however, the differences between these two coexisting but distinct phenomena require further research. This study uses online big data and quantitative methods to explore the relationship between touristification and commercial gentrification. Taking Yuzhong District in Chongqing as an example, this study constructs an inter-attraction network based on 1306 itineraries extracted from online travel diaries, develops a method to evaluate community tourism centrality based on network analysis, and examines the correlation between community tourism centrality, touristification, and commercial gentrification. The results suggest that attractions with historical value, unique local landscapes, and mixed functions show greater tourism centrality in the tourist flow network. Attractions with similar themes are more likely to be included in one travel route, and the influence of distance is insignificant at the district level. Communities with higher tourism centrality are clustered in old city areas with a rich historic heritage and have experienced profound commercialisation. Although similar, touristification is primarily a bottom-up process, while commercial gentrification tends to be more involved with the top-down urban planning process. This study contributes to the methodological development of network analysis in tourism research and advances the understanding of the different mechanisms of touristification and commercial gentrification.
Westerly Wind Events in the Eastern Indian Ocean as a Precursor to El Nino: A Case Study for the 2002-03 El Nino

This paper extends the work of our previous study, which showed the potential of using precipitation in the eastern Indian Ocean to predict when an El Nino would begin. The paper begins by showing the successful prediction of the 2002-03 El Nino. However, precipitation is really used as a substitute for wind (storms are usually accompanied by heavy wind), because a popular hypothesis is that winds (especially % winds out of the West) stir up the ocean surface in the western Pacific sending currents of warm waters to the east Pacific where El Ninos form. This paper shows that it is typical for storms that produce strong winds in the western Pacific to have traveled from the Indian Ocean. We begin in the Indian Ocean looking at strong bursts of wind over several days. The number of windy days seems to increase in the months prior to El Nino. We examined these relationships in detail for November 2001 to April 2002, before the recent El Nino, using NASA's TRMM and QuikSCAT data. We found in one case that a warming of the eastern Indian Ocean occurred about 25 days before heavy rainfall formed. As the stormed moved eastward it was followed (6 days later) by strong winds out of the West. The entire storm system (and warming of the sea) moved eastward through a small strip of water between Indonesia and Australia, before reaching the western Pacific. Thus, this paper increases our understanding of the physical processes leading to the formation of El Nino.
Virome analysis of an ectomycorrhizal fungus Suillus luteus revealing potential evolutionary implications

Suillus luteus is a widespread edible ectomycorrhizal fungus that holds significant importance in both ecological and economic value. Mycoviruses are ubiquitous infectious agents hosted in different fungi, with some known to exert beneficial or detrimental effects on their hosts. However, mycoviruses hosted in ectomycorrhizal fungi remain poorly studied. To address this gap in knowledge, we employed next-generation sequencing (NGS) to investigate the virome of S. luteus. Using BLASTp analysis and phylogenetic tree construction, we identified 33 mycovirus species, with over half of them belonging to the phylum Lenarviricota, and 29 of these viruses were novel. These mycoviruses were further grouped into 11 lineages, with the discovery of a new negative-sense single-stranded RNA viral family in the order Bunyavirales. In addition, our findings suggest the occurrence of cross-species transmission (CST) between the fungus and ticks, shedding light on potential evolutionary events that have shaped the viral community in different hosts. This study is not only the first study to characterize mycoviruses in S. luteus but highlights the enormous diversity of mycoviruses and their implications for virus evolution.
Cost-effectiveness of active surveillance versus early surgery for thyroid micropapillary carcinoma based on diagnostic and treatment norms in China

Objectives In this study, we compared the cost-effectiveness comparison of the active surveillance (AS) and early surgery (ES) approaches for papillary thyroid microcarcinoma (PTMC) from the perspective of the Chinese healthcare system. Methods We performed a cost-effectiveness analysis using a Markov model of PTMC we developed to evaluate the incremental cost-effectiveness ratio of AS and ES. Our reference case was of a 40-year-old woman diagnosed with unifocal (<10 mm) PTMC. Relevant data were extracted after an extensive literature review, and the cost incurred in each state was determined using China Medicare data on payments for ES and AS. The willingness-to-pay threshold was set at ¥242,928/quality-adjusted life-year (QALY) gained. Sensitivity analyses were performed to account for any uncertainty in the model’s variables. Additional subgroup analyses were performed to determine whether AS was cost-effective when different initial monitoring ages were used. Results ES exhibited an effectiveness of 5.2 QALYs, whereas AS showed an effectiveness of 25.8 QALYs. Furthermore, the incremental cost-effectiveness ratio for ES versus AS was ¥1,009/QALY. The findings of all sensitivity analyses were robust. Compared with ES, AS was found to be the cost-effective strategy at initial monitoring ages of 20 and 60 years, with an incremental cost-effectiveness ratio of ¥3,431/QALY and −¥1,316/QALY at 20 and 60 years, respectively. AS was a more cost-effective strategy in patients with PTMC aged more than 60. Conclusions With respect to the norms of the Chinese healthcare system, AS was more cost-effective for PTMC over lifetime surveillance than ES. Furthermore, it was cost-effective even when the initial monitoring ages were different. In addition, if AS is incorporated into the management plan for PTMC in China at the earliest possible stage, a predicted savings of ¥10 × 108/year could be enabled for every 50,000 cases of PTMC, which indicates a good economic return for future management programs. The identification of such nuances can help physicians and patients determine the best and most individualized long-term management strategy for low-risk PTMC.
Systemic Venous Congestion Reviewed

Accurate determination of intravascular volume status is challenging in acutely ill patients. Favorable patient outcome is vital to correctly identify intravascular volume depletion and avoid systemic venous congestion. Most of the conventional means of hemodynamic monitoring in the acute healthcare setting are geared toward addressing the cardiac output and maintaining an optimum mean arterial pressure. While assessing and maintaining cardiac output in an acutely ill patient is very important, a venous congestion cascade is often overlooked, which can negatively affect the intraabdominal end organs. The prospect of using point-of-care ultrasound (POCUS) to determine systemic venous congestion could be a potentially handy tool for clinicians. Venous excess ultrasound score (VExUS) has also been utilized by clinicians as a semi-quantitative assessment tool to assess fluid status. This review aims to discuss the potential role of POCUS and VExUS scores in determining systemic venous congestion through a narrative review of recently published literature.
Adapting to Climate Change in Bangladesh : Stress Tolerant Seeds for Stress-Prone Regions

In the event of global climate change, agriculture will be one of the worst-hit sectors in Bangladesh. Increasing global temperatures, rising sea levels, and melting polar ice caps result in land submergence, salinity intrusion, drought, and so on all of which drastically impact agricultural productivity and therefore food security and the livelihoods of millions of people in the affected regions. Bangladesh, a low-lying deltaic country, is predicted by the international community of experts to be one of the first countries to be affected, and it has already been experiencing serious impacts of climate change. Agriculture in particular is one of the worst-hit sectors. This smart lesson describes the experience of the agribusiness advisory team in Bangladesh, based on a project focused on climate change adaptation and building resilience of the resource-poor farmers.
Modulated dark-field phasing detection for automatic optical inspection

Abstract. Dark-field illumination is a simple yet elegant imaging technique that can be used to detect the presence of particles on a specular surface. However, the sensitivity of dark-field illumination to initial conditions affects its repeatability. This is problematic in cases where automation is desired. We present an improvement to the current method of using a modulation field that relies on phase calculations rather than intensity. As a result, we obtain a computational method that is insensitive to noise and provides clearly defined particle information, allowing a global threshold to be set for autonomous measurement purposes. After introducing the theory behind our method, we present experimental results for various scenarios and compare them to those obtained using the dark-field approach.
Comparison of training methods for Convolutional Neural Network model for Gravitational-Wave detection from Neutron Star$-$Black Hole Binaries

The traditional method of Gravitational Wave (GW) detection is Matched Filtering that was used for the first GW detection by aLIGO in 2015. The method works by matching the observation data sample with a set of templates of known GW waveforms. Iterating through all the templates for relatively complex GW signals, for instance those from eccentric sources, increases the overall computational cost and time complexity. In recent years, Machine Learning techniques have been probed as a solution to this problem. In this short paper
Holter STAT-ON™ against other tools for detecting MF in advanced Parkinson’s disease: an observational study

Background Different screening tools to identify advanced Parkinson’s disease (APD) have emerged in recent years. Among them, wearable medical devices, such as STAT-ON™, have been proposed to help to objectively detect APD. Objectives To analyze the correlation between STAT-ON™ reports and other assessment tools to identify APD and to assess the accuracy of screening tools in APD patients, using the STAT-ON™ as the gold standard. Methods In this retrospective, observational study, data from the University Hospital Complex of Pontevedra database on 44 patients with potential APD who wore STAT-ON™ were extracted. Data were collected according to different sources of tools for identifying APD: (1) STAT-ON™, (2) information provided by the patient, (3) questionnaire for advanced Parkinson’s disease (CDEPA), (4) 5-2-1 Criteria, and (5) Making Informed Decisions to Aid Timely Management of Parkinson’s Disease (MANAGE-PD). Considering STAT-ON™ recordings as a reference, the sensitivity, specificity, and positive and negative predictive values for each tool were calculated. The kappa index assessed the degree of agreement between the gold standard and the other instruments. Results Although no statistically significant association was found between STAT-ON™ recordings and any screening methods evaluated, the CDEPA questionnaire demonstrated the highest sensitivity and VPN values to detect patients with APD candidates for second-line therapy (SLT). According to the correlation analyses, MANAGE-PD demonstrated the highest degree of concordance with STAT-ON™ recordings to identify the SLT indication and to predict the SLT decision. Conclusion STAT-ON™ device may be a helpful tool to detect APD and to guide treatment decisions.
High-Throughput Phytochemical Unscrambling of Flowers Originating from Astragalus membranaceus (Fisch.) Bge. var. mongholicus (Bge.) P. K. Hsiao and Astragalus membranaceus (Fisch.) Bug. by Applying the Intagretive Plant Metabolomics Method Using UHPLC−Q−TOF−MS/MS

Astragalus membranaceus (Fisch.) Bge. var. mongholicus (Bge.) P. K. Hsiao (MO) and Astragalus membranaceus (Fisch.) Bug. (ME) are two primary sources of the Astragalus herb, also known as “Huangqi” in China, which is widely applied to treat hypertension, glomerulonephritis, ischemic heart disease, and diabetes mellitus. As two different sources of the Astragalus herb, the chemical profiles of MO and ME may be different. Previous studies showed abundant differences in chemical composition between MO and ME. Therefore, the by-products of MO and ME, such as Astragalus membranaceus (Fisch.) Bge. var. mongholicus (Bge.) P. K. Hsiao flower (MOF) and Astragalus membranaceus (Fisch.) Bug. flower (MEF), may have different phytochemical profiles. In this paper, a metabolomics method combined with ultra-high-performance liquid chromatography and electrospray ionization/quadrupole time-of-flight mass spectrometry (UHPLC−Q−TOF−MS/MS) was employed to analyze the components of MOF and MEF. Consequently, the results of principal component analysis (PCA) showed that MOF and MEF could be separated clearly. In total, 31 chemical markers differentiating MOF and MEF were successfully identified, including 22 flavonoids, 8 isoflavones and 1 benzopyran. Among them, the contents of 18 components, including Calycosin, Cyanidin-3-O-glucoside, Quercetin, Rutin, Kaempferol, Formononetin, Isomucronulatol and Prim-O-glucosylcimifugin in MEF, were significantly higher than in MOF. In turn, the contents of another 13 components, covering Biochanin A, Tectoridin, Isomucronulatol-7-O-glucoside, Liquiritin, Rhamnetin, etc., were lower in the MEF group than that in the MOF group. It is worth noting that flavonoids, especially flavonoid glycosides, were the primary active chemical ingredients in MOF and MEF. The 18 ingredients in MEF with a higher level carried out diverse activities, like anti-oxidant, anti-inflammatory, anti-bacterial and anti-tumor activities, which led us to speculate that MEF may have greater pharmacological effects and potential development prospects than MOF. The present results displayed that the contents of ingredients in the two different species of plants were radically different, and there was significant uniqueness to the components of MOF and MEF. Our study not only provides helpful chemical information for further quality assessment and active mechanism research of MOF and MEF but also offers scientific support for the resource utilization of MOF and MEF.
Insects as an alternative protein source for poultry nutrition: a review

This review summarizes the most relevant scientific literature related to the use of insects as alternative protein sources in poultry diets. The black soldier fly, the housefly, the beetle, mealworms, silkworms, earthworms, crickets, and grasshoppers are in the spotlight because they have been identified as an important future source of sustainable animal proteins for poultry feeding. Insect meals meet poultry requirements in terms of nutritional value, essential amino acid composition, nutrient digestibility, and feed acceptance. Furthermore, they are enriched with antimicrobial peptides and bioactive molecules that can improve global health. Results from poultry studies suggest equivalent or enhanced growth performances and quality of end-products as compared to fish meal and soybean meal. To outline this body of knowledge, this article states established threads of research about the nutrient profiles and the digestibility of insect meals, their subsequent effects on the growth and laying performances of poultry as well as the quality of meat, carcass, and eggs. To fully exploit insect-derived products, the effects of insect bioactive molecules (antimicrobial peptides, fatty acids, and polysaccharides) were addressed. Furthermore, as edible insects are likely to take a meaningful position in the feed and food chain, the safety of their derived products needs to be ensured. Some insights into the current knowledge on the prevalence of pathogens and contaminants in edible insects were highlighted. Finally, the effect of insect farming and processing treatment on the nutritive value of insect larvae was discussed. Our overview reveals that using insects can potentially solve problems related to reliance on other food sources, without altering the growth performances and the quality of meat and eggs.