Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimizing the Salt-Processing Parameters of Achyranthes bidentata and Their Correlation with Anti-Osteoarthritis Effect

Achyranthes bidentata is always salt-processed before being prescribed for treating osteoarthritis. Yet the salt-processing parameters have not been optimized, and the specific bioactive constituents responsible for the osteoarthritis effect of salt-processed A. bidentata have not been fully elucidated. In this study, a Box–Behnken experimental design was chosen for the optimization of the salt-processing parameters of A. bidentata, including stir-frying time, concentration of brine, and soak time. Meanwhile, HPLC–Q-TOF-MS was utilized to analyze the chemical profiles of various batches of raw and salt-processed A. bidentata. The anti-inflammatory potential of nine batches of both raw and salt-processed A. bidentata was assessed via a cyclooxygenase-2 (COX-2) inhibitory assay. A gray correlation analysis was conducted to correlate the peak areas of the compounds in raw and salt-processed A. bidentata with their COX-2 inhibitory effects. Finally, the optimal salt-processing conditions are as follows: soak time: 29 min; concentration of brine: 1.8%; stir-frying time: 4.4 min. Twenty-nine compounds were identified. Eight compounds were found to have a strong positive correlation with anti-inflammatory activity, as confirmed by the COX-2 inhibitory assay. Notably, this is the first report of the COX-2 inhibitory effects of sanleng acid, stachysterone D, dihydroactinidiolide, N-cis-feruloyl-3-methoxytyramine, 9,12,13-trihydroxy-10-octadecenoic acid, azelaic acid, and dehydroecdysone.
Singing in a Second Language: Pronunciation Errors Made by Sri Lankan Decedent Students' when Singing Sinhala Songs Under the Influence of the Australian English Language

When a speaker/vocal performer sings in a second language, the pronunciation can be labelled as a different or fake accent compared to the native speakers. On a theoretical level, it is very difficult for learners of a second language (L2) to get rid of the phonetic effects of (L1) and sometimes impossible, unless the language learner can process both languages from birth. This research aims to identify the pronunciation errors made by Sri Lankan decedent students' according to the consonant sounds of the Inattentional Phonetic Alphabet when they sing Sinhala songs under the influence of the Australian English Language. This research specifically questions what consonant substitutes are employed by the aforementioned speakers for the irreplaceable consonant identity of Sinhala sound production. In this research, Sinhala and English phonemes were compared based on the data from Cox & Palethrope (2007), Rajapakshe (1994 & 1997) and previous research of this researcher (Penahetipola, 2011). The research fundamentally employs a comparison of the phonetic inventory of both languages based on the IPA charts and data from spectrogram analysis of speech sounds made by 45 Australian-born children of Sinhala migrants who are 10-12 and study Sinhala as a second language. Prenasalised stops and nasals have been identified as the most noticeable substitutes. Also, retroflex, palatal, and bilabial are the concerned sound production. The finding is very useful in developing language-speaking programs for speakers and vocal performers who practice Sinhala as their second language.
The workflow to analyze hydraulic fracture effect on hydraulic fractured horizontal well production in composite formation system

Hydraulic fracturing generally leads to highly complex hydraulic networks for tight oil reservoirs. It is significant to understand the hydraulic fracture effect on well performance. As an effective tool, semi-analytical solution for well pressure transient analysis (PTA) and rate transient analysis (RTA) is used in large amount because of higher calculation efficiency than numerical solution. In this paper, the PTA and RTA methods and result of composite formation system (CFS) are shown comprehensively. Firstly, a mathematical model of multistage fractured horizontal well (MsFHW) in CFS was proposed for tight oil reservoir with different regions and formation properties. In the model, two regions with different formation parameters were distinguished. This assumption of two regions, i.e. CFS is a composite tight reservoir formed after hydraulic fracturing. Difference of finite hydraulic fracture conductivity, inclined angle of hydraulic fracture, different shapes of multi-wing fractures in perforating point are considered to make this model powerful to analyze production performance of different MsFHW types. The inner and outer regions were assumed as dual porosity medium but single porosity medium model can also be solved by simplification. Then, the solution of MsFHW performance analysis model is obtained by source function method and the source function superposition principle which are common used in PTA and RTA. PTA for well producing at a constant production rate and RTA for well producing at a constant wellbore pressure were obtained and discussed. Different flow regimes were divided for different fracture geometry situations. The effects of different MsFHW types on PTA and RTA were analyzed. The inflow performance for different hydraulic fractures were presented. Cited as : Yuan, J., Jiang, R. , Zhang, W. The workflow to analyze hydraulic fracture effect on hydraulic fractured horizontal well production in composite formation system. Advances in Geo-Energy Research, 2018, 2(3): 319-342, doi: 10.26804/ager.2018. 03.09.
Development of an Instructional Model to Enhance Competency in the Thai Language for Grade 6 Students

This study introduces a novel learning management model aimed at enhancing Thai language proficiency in sixth-grade students. Confronting challenges such as inadequate teaching resources and a lack of student-centric, practical activities in current Thai language education, this model integrates six key components: foundational principles and theories, clear objectives, diverse learning processes, social systems, responsive teaching, and supportive resources. The approach emphasizes student engagement, self-directed learning, critical thinking, and applicability in real-life situations. Employing a rigorous research and development (R&D) methodology, the study involved analyzing existing educational conditions, developing the instructional model, assessing its impact, and seeking expert validation. The model demonstrated substantial improvements in students’ knowledge, skills, and attributes, as evidenced by the effectiveness index (E.I.) and expert assessments. These evaluations confirmed the model’s suitability, practicality, and beneficial impact on language proficiency. The results indicate that integrating self-directed learning, experiential activities, and collaborative techniques significantly enhances language skills. The study underscores the need for adaptive learning strategies, varied instructional media, and comprehensive assessment methods. The model’s success in improving national test scores showcases its potential applicability and effectiveness in diverse educational settings. This research contributes a validated, effective framework for Thai language teaching, highlighting experiential learning, social collaboration, and the integration of ICT. Its successful application in Thai educational contexts suggests its potential for broader adoption in primary language education globally.
A Novel Leak-Proof Thermal Conduction Slot Battery Thermal Management System Coupled with Phase Change Materials and Liquid-Cooling Strategies

Electric vehicles (EVs) are experiencing explosive developments due to their advantages in energy conservation and environmental protection. As a pivotal component of EVs, the safety performance of lithium-ion batteries directly affects driving miles and even safety; hence, a battery thermal management system (BTMS) is especially important. To improve the thermal safety performance of power battery modules, first, a new leak-proof phase change material (PCM)-coupled liquid-cooled composite BTMS for large-scale battery modules is proposed in this research. Second, the numerical simulation analysis method was utilized to analyze the influences of the fluid flow channel shape, working fluid inlet temperature, inlet velocity, and reverse flow conditions on the BTMS. Eventually, the abovementioned performances were compared with the traditional PCM-coupled liquid-cooling strategy. The relative data indicated that the Tmax was reduced by 17.5% and the ΔTmax was decreased by 19.5% compared to the liquid-cooling approach. Further, compared with conventionally designed PCM composite liquid cooling, the ΔTmax was reduced by 34.9%. The corresponding data showed that, when using the e-type flow channel, reverse flow II, the inlet flow velocity was 0.001–0.005 m/s, and the inlet temperature was the ambient temperature of the working condition. The thermal performance of the anti-leakage system with a thermal conduction slot PCM-coupled liquid-cooling composite BTMS reached optimal thermal performance. The outcome proved the superiority of the proposed BTMS regarding temperature control and temperature equalization capabilities. It also further reduced the demand for liquid-cooling components, avoided the problem of the easy leakage of the PCM, and decreased energy consumption.
Host and nonhost bacteria support bacteriophage dissemination along mycelia and abiotic dispersal networks

Abstract Bacteriophages play a crucial role in shaping bacterial communities, yet the mechanisms by which nonmotile bacteriophages interact with their hosts remain poorly understood. This knowledge gap is especially pronounced in structured environments like soil, where spatial constraints and air-filled zones hinder aqueous diffusion. In soil, hyphae of filamentous microorganisms form a network of ‘fungal highways’ (FHs) that facilitate the dispersal of other microorganisms. We propose that FHs also promote bacteriophage dissemination. Viral particles can diffuse in liquid films surrounding hyphae or be transported by infectable (host) or uninfectable (nonhost) bacterial carriers coexisting on FH networks. To test this, two bacteriophages that infect Pseudomonas putida DSM291 (host) but not KT2440 (nonhost) were used. In the absence of carriers, bacteriophages showed limited diffusion on 3D-printed abiotic networks, but diffusion was significantly improved in Pythium ultimum-formed FHs when the number of connecting hyphae exceeded 20. Transport by both host and nonhost carriers enhanced bacteriophage dissemination. Host carriers were five times more effective in transporting bacteriophages, particularly in FHs with over 30 connecting hyphae. This study enhances our understanding of bacteriophage dissemination in nonsaturated environments like soils, highlighting the importance of biotic networks and bacterial hosts in facilitating this process.
Hierarchical Geographically Weighted Regression Model

In spatial analysis, two problems of the scale effect and the spatial dependence have been plagued scholars, the first law of geography presented to solve the spatial dependence has played a good role in the guidelines, forming the Geographical Weighted Regression (GWR). Based on classic statistical techniques, GWR model has ascertain significance in solving spatial dependence and spatial non-uniform problems, but it has no impact on the integration of the scale effect. It does not consider the interaction between the various factors of the sampling scale observations and the numerous factors of possible scale effects, so there is a loss of information. Crossing a two-stage analysis of “return of regression” to establish the model of Hierarchical Geographically Weighted Regression (HGWR), the first layer of regression analysis reflects the spatial dependence of space samples and the second layer of the regression reflects the spatial relationships scaling. The combination of both solves the spatial scale effect analysis, spatial dependence and spatial heterogeneity of the combined effects.
UTAUT Model Analysis on E-Wallet Usage of Vocational School Students

The purpose of this study is to analyze the acceptance and usage of E-Wallet Dana among vocational students. The research was conducted on 140 students from the 11th and 12th grades of SMKN 1 Lamongan, majoring in Office Management and Business Services (MPLB) and Office Automation and Management (OTKP) programs. The data analysis technique used in this study was Structural Equation Modeling-Generalized Structured Component Analysis (SEM-GSCA) using the GSCA Pro application. The results of this study indicate that Performance Expectancy and Social Influence have a significant positive impact on Behavioral Intention in the acceptance and usage of E-Wallet Dana. However, Effort Expectancy and Facilitating Condition has a non-significant negative impact on Behavioral Intention in the acceptance and usage of E-Wallet Dana. Additionally, Behavioral Intention also has a non-significant negative impact on Use Behavior in the acceptance and usage of E-Wallet Dana. This study provides insights for E-Wallet developers to provide systems that meet the criteria of Performance Expectancy and Social Influence, as these factors significantly influence students' acceptance and usage of the E-Wallet application.
The Potential Utility of Satellite Soil Moisture Retrievals for Detecting Irrigation Patterns in China

Climate change and anthropogenic activities, including agricultural irrigation have significantly altered the global and regional hydrological cycle. However, human-induced modification to the natural environment is not well represented in land surface models (LSMs). In this study, we utilize microwave-based soil moisture products to aid the detection of under-represented irrigation processes throughout China. The satellite retrievals used in this study include passive microwave observations from the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR-E) and its successor AMSR2, active microwave observations from the Advanced Scatterometer (ASCAT), and the blended multi-sensor soil moisture product from the European Space Agency (i.e., ESA CCI product). We first conducted validations of the three soil moisture retrievals against in-situ observations (collected from the nationwide agro-meteorological network) in irrigated areas in China. It is found that compared to the conventional Spearman’s rank correlation and Pearson correlation coefficients, entropy-based mutual information is more suitable for evaluating soil moisture anomalies induced by irrigation. In general, around 60% of uncertainties in the anomaly of “ground truth” time series can be resolved by soil moisture retrievals, with ASCAT outperforming the others. Following this, the potential utility of soil moisture retrievals in mapping irrigation patterns in China is investigated by examining the difference in probability distribution functions (detected by two-sample Kolmogorov-Smirnov test) between soil moisture retrievals and benchmarks of the numerical model ERA-Interim without considering the irrigation process. Results show that microwave remote sensing provides a promising alternative to detect the under-represented irrigation process against the reference LSM ERA-Interim. Specifically, the highest performance in detecting irrigation intensity is found when using ASCAT in Huang-Huai-Hai Plain, followed by advanced microwave scanning radiometer (AMSR) and ESA CCI. Compared to ASCAT, the irrigation detection capabilities of AMSR exhibit higher discrepancies between descending and ascending orbits, since the soil moisture retrieval algorithm of AMSR is based on surface temperature and, thus, more affected by irrigation practices. This study provides insights into detecting the irrigation extent using microwave-based soil moisture with aid of LSM simulations, which has great implications for numerical model development and agricultural managements across the country.
Igneous rocks of the Highwood Mountains, MontanaPart VI. Mineralogy

The minerals of the igneous rocks of the Highwood Mountains are described. The primary hornblende of the quartz latites is basaltic and it has been partly replaced by a common green hornblende. Hornblende is rare in the alkalic rocks. Augite is an abundant mineral of the alkalic rocks; in the syenites it contains some acmite, especially on the borders of the crystals. Aegirite is a common metamorphic mineral. The olivine of the shonkinites contains from 12 to 22 mol per cent of fayalite, that of the syenite from Square Butte 50 per cent. Monticellite twinned into trillings on (031) is an abundant mineral in one small intrusive body. In the alkalic rocks barium sanidine is abundant and plagioclase rare; leucite, primary analcime, and pseudoleucite are common and sodalite rare. Natrolite, thomsonite, and other zeolites are widespread and very abundant.
Person classification from aerial imagery using local convolutional neural network features

ABSTRACT The need for search and rescue is not one that will go away. Extending beyond the concerns of hikers, natural disasters have brought the necessity for search and rescue in the heart of civilization. The advent of new technologies, such as unmanned aerial vehicles, can help decrease the cost of search and rescue operations and increase survival rates by finding the lost individuals in a faster manner. Visual object recognition is key to successful drone application for assisting search and rescue activities, and it is critical to develop a fully autonomous system. In recent years, deep convolutional neural networks have proven themselves as a powerful class of models and have become de facto a standard in a computer vision community. Moreover, a number of studies have shown that intermediate activations extracted from a deep convolutional neural network, pre-trained on large image dataset, can be adopted as universal image representation and transferred to other image classification tasks, leading to striking performances. In this paper, we investigate the effectiveness of different layer activations on the performance of convolutional features for binary person classification from UAV imagery, using various deep network architectures. Experiments have demonstrated that convolutional network generated features can deliver extremely competitive results, comparable to human-level performance. Furthermore, they reveal that in said context fully connected layer activations generalize well and are more expressive than the mid- or higher-level layers activations. Our work provides guidance for transferring pre-trained deep convolutional neural networks to address remote person classification tasks.
Research on the social perception of invasive species: a systematic literature review

We conducted a systematic literature review of the current state of research on the social perceptions of invasive species, aiming to provide guidance towards transdisciplinary research and participatory decision making. In order to detect patterns regarding publication trends and factors determining social perceptions of invasive species, we applied qualitative content as well as quantitative data analysis. By applying content analysis, we identified five main categories of influence on the perception of invasive species: ecological conditions, social conditions, values and beliefs, impacts, and benefits. The disciplinary focus of the research was predominantly interdisciplinary, followed by a social sciences approach. Our review revealed a disproportionate use of quantitative methods in research on social perceptions of invasive species, yet quantitative methods were less likely to identify benefits as factors determining the perception of invasive species. However, without the understanding of perceived benefits, researchers and managers lack the socio-cultural context these species are embedded in. Our review also revealed the geographical, methodological and taxonomic bias of research on perceptions of invasive species. The majority of studies focused on the local public, whereas fewer than half of the studies focused on decision-makers. Furthermore, our results showed differences in the social perceptions of invasive species among different stakeholder groups. Consensus over the definition and terminology of invasive species was lacking whereas differences in terminology were clearly value-laden. In order to foster sustainable management of invasive species, research on social perceptions should focus on a transdisciplinary and transparent discourse about the inherent values of invasion science.
Did boninite originate from the heterogeneous mantle with recycled ancient slab?

Boninites are widely distributed along the western margin of the Pacific Plate extruded during the incipient stage of the subduction zone development in the early Paleogene period. This paper discusses the genetic relationships of boninite and antecedent protoarc basalt magmas and demonstrates their recycled ancient slab origin based on the T–P conditions and Pb–Hf–Nd–Os isotopic modeling. Primitive melt inclusions in chrome spinel from Ogasawara and Guam islands show severely depleted high‐SiO2, MgO (high‐silica) and less depleted low‐SiO2, MgO (low‐silica and ultralow‐silica) boninitic compositions. The genetic conditions of 1 346 °C at 0.58 GPa and 1 292 °C at 0.69 GPa for the low‐ and ultralow‐silica boninite magmas lie on adiabatic melting paths of depleted mid‐ocean ridge basalt mantle with a potential temperature of 1 430 °C in Ogasawara and of 1 370 °C in Guam, respectively. This is consistent with the model that the low‐ and ultralow‐silica boninites were produced by remelting of the residue of the protoarc basalt during the forearc spreading immediately following the subduction initiation. In contrast, the genetic conditions of 1 428 °C and 0.96 GPa for the high‐silica boninite magma is reconciled with the ascent of more depleted harzburgitic source which pre‐existed below the Izu–Ogasawara–Mariana forearc region before the subduction started. Mixing calculations based on the Pb–Nd–Hf isotopic data for the Mariana protoarc basalt and boninites support the above remelting model for the (ultra)low‐silica boninite and the discrete harzburgite source for the high‐silica boninite. Yb–Os isotopic modeling of the high‐Si boninite source indicates 18–30 wt% melting of the primitive upper mantle at 1.5–1.7 Ga, whereas the source mantle of the protoarc basalt, the residue of which became the source of the (ultra)low‐Si boninite, experienced only 3.5–4.0 wt% melt depletion at 3.6–3.1 Ga, much earlier than the average depleted mid‐ocean ridge basalt mantle with similar degrees of melt depletion at 2.6–2.2 Ga.
Andean Mountain Groundwater, Drinking Water Sources, and Vulnerability: A Case Study in Central Chile

This chapter presents a study of the Diguillín basin in central Chile where geology is dominated by the Nevados del Chillan volcanic complex. The headwater of the basin has two watersheds: Renegado creek and Alto Diguillín. The hydrogeology was studied using field surveys, streamflow gauging, environmental tracers, and a hydrological model. Surface water balance does not fit for both watersheds because there is a deficit/excess of superficial runoff. Renegado soils are predomi-nantly sands over a basement composed of fractured rock; infiltration of rain and snowmelt predominates over surface runoff, resulting in about 5 m 3 /s of depth groundwater that flows to the Diguillín River, discharging in a cluster of springs located 3 km downstream of the surface connection. Therefore, drinking water availability for the communities located at the Renegado watershed is limited to some springs that are located around the valley. There is a significant expansion of second home construction in the area of the Renegado watershed; because of its skiing and hot springs, it is a major tourism center. Due to the extensive use of septic tanks, located above the highly permeable soils that overlie the fractured rock aquifer, there is concern about how water quality may be affected.