Miracle-dz/UniFAR-FTUs huggingface dataset:
Bioaccumulation of zinc in rice (oryza sativa l.) from River Swat, Panjkora, And Kabul Pakistan

Ecosystem contamination with heavy metals lead to the bioaccumulation of these elements in crops. Rice, a significant component of the human diet, can bioaccumulate heavy metals and is of public health concerns. Therefore, the current research aimed to investigate the bioaccumulation of the heavy metal zinc in several rice varieties from three rivers in Pakistan's Malakand Division. The Highest Zn concentration of 91.58± 6.25 mg kg−1 dry weight was observed in rice roots of China Basmati variety grown across River Swat, while the highest Zn concentration of 60.06 ± 4.41 mg kg−1 dry weight was observed in the stem of Mota Chawal on River Kabul. In a site-wise comparison of both River Swat and Kabul, the Zn concentrations in the stem of Sara Sela rice on River Panjkora were 55.5±4.37, showing significant differences among different sites on the rivers. Similarly, comparing metal concentrations in different rice varieties generally did not show significant differences between the varieties. Zn concentrations in rice were higher in the Swat River than in the rest in all cases. Bioaccumulation factor (BAF) values for Zn were in the order of soil > roots > stem > leaves > grains for River Swat and Kabul. In contrast, for River Panjkora Zn concentration, the order was soil > stem > root > grains> leaves, respectively. Zn absorption by rice in the form of ions or particles generally affects plant phenotypic, physiological, and molecular development; hence, it must be considered in present varieties for the future.
Fabrication and Characterization of Self-Assembled Low Voltage Operated OTFT for H2S Gas Sensor for Oil and Gas Industry

The article examines the low-voltage organic thin film transistor’s (OTFTs) manufacturing and characterization process for hydrogen sulfide (<inline-formula> <tex-math notation="LaTeX">$\text{H}_{{2}}\text{S}$ </tex-math></inline-formula>) gas sensing at room temperature and could be helpful at various emanating sites. The fabrication methodology utilizes a cost-efficient solution processed spin coating method for high-<inline-formula> <tex-math notation="LaTeX">${k}$ </tex-math></inline-formula> dielectric (SrZrOx) as a gate oxide and floating film transfer method (FTM) for silver nanoparticles doped PBTTT-C14 film for the active semiconductor layer. The developed spin-coated dielectric film offers a high capacitance of 433 nF/cm2 with a high band gap of 4.95 eV. and also offers 0.1 nA/cm2 leakage current density, which clarifies that the dielectric film has very less numbers of pin holes suitable for good-performing OTFT. The surface morphology of the dielectric film shows a very smooth dielectric film (rms roughness 0.245 nm), which demonstrates a high-quality dielectric/semiconductor interface offered by the dielectric film for the high performance of the device. On the other hand, the low-cost FTM deposited silver nanoparticles doped PBTTT-C14 active layer film is quite uniform (30 ± 3 nm thickness) and free from any anisotropic effect, which further improves the device performance for sensing applications. The developed sensor is deliberately characterized for <inline-formula> <tex-math notation="LaTeX">$\text{H}_{{2}}\text{S}$ </tex-math></inline-formula> gas sensor shows a sensing response of 80% at 5 ppm. The sensor passes with a low detection limit of 15.17 ppb and exhibits a relative shift of 47.7% over 5 ppm <inline-formula> <tex-math notation="LaTeX">$\text{H}_{{2}}\text{S}$ </tex-math></inline-formula> gas in threshold voltage. The developed device can be used in various gas emanating sites and oil industries.
Chinese CHIM – electro-geochemical survey of extensions to the Challenger Gold Mine, South Australia

Effective surface geochemical techniques to help map buried ore deposits are one means of limiting the high cost of unsuccessful holes drilled to test new targets or to define extensions to known orebodies. With this in mind, a version of the CHIM electro-geochemical prospecting technique developed at Guilin University, China was demonstrated at the Challenger Gold Mine in South Australia to test its suitability under Australian conditions. Two survey lines were completed over the projected extension of ore shoots at the mine. The results were inconclusive. Elevated levels but inconsistent results for Au and As were detected at the surface over shoots projected to depths of between 200 and 400 m. Some modification to the equipment is required to make the system more robust. Ongoing collaboration is planned that will look at improvements to the technique for use in Australian arid conditions.
Prevalence of Obesity and Lifestyle Risk Factors Following Two Years’ COVID-19 Related Service Closure at Wellness Center, Primary Health Care

Background COVID-19 lockdown has affected health behaviors and daily life in unprecedented ways. This study aimed to assess (i) the prevalence of lifestyle behaviors including physical activity, sedentary behavior, sleep, and stress levels during the COVID confinement, and (ii) evaluate anthropometric measures, body composition, cardiopulmonary and muscular endurance among regular Wellness Center attendees, following two years’ service closure. Methods A cross-sectional study was undertaken between 1st June 2022 and 30th January 2023. A structured validated questionnaire was utilized to retrospectively collect data related to the closure period, and quantitative objective measurements were obtained at the time of data collection. Results A total of 100 adults with a mean age of 49.6 ± 10.5 years, mostly female (80%) and Qatari (76%) participated in the study. The results revealed high rates of low physical activity (47%), sedentary behavior (62%), poor sleep (58%), and stress levels (61% moderate and 5% high). Results also confirmed high prevalence of obesity (57%) marked by BMI and body circumferences, fat mass (34 ± 10.5 kg)/fat percentage (42.7 ± 7.2%) and muscle mass (20.6 ± 5.4 kg)/muscle percentage (25.4 ± 3.9%) above and below normal levels, respectively. The average cardiopulmonary (mean VO2 MAX was 15.5 ± 11 mL O2kg−1min−1) and muscular endurance (pushups per min 19 ± 8.9, L-sit 46 ± 35 secs, plank 42.7 ± 27.8 secs) were distinctly below normal levels for age and sex. Conclusion The findings indicate that physically active adults have experienced adverse lifestyle behaviors during the COVID-19 lockdown. Obesity, unfavorable body composition, low cardiopulmonary and muscular endurance were evident. More emphasis should be put on the development of targeted intervention strategies to promote positive lifestyle behaviors during any potential future crises.
The Role of Human Resource Competence and Entrepreneurial Motivation on the Performance of Women Entrepreneurs

This research aims to investigate the impact of human resource competence and entrepreneurial motivation on the performance of women entrepreneurs in the fashion industry of Klungkung Regency, Bali, Indonesia, specifically within micro, small and medium enterprises (MSMEs). The study draws upon management theory, middle-range human resource theory, and applied theories related to human resource competence, motivation, and entrepreneurship. The research methodology employed is quantitative, using questionnaires as the primary data collection tool. The study involves a sample of 54 SME businesses, and data analysis is conducted using SPSS software version 24. Three hypotheses were tested in this research. The results indicate that the variable of human resource competence has a significant positive influence on entrepreneurial performance. Furthermore, human resource competence also has a significant positive effect on entrepreneurial motivation. The variable of entrepreneurial motivation also significantly influences entrepreneurial performance. However, it is noteworthy that the impact of human resource competence and entrepreneurial motivation on entrepreneurial performance is considered relatively modest. Keywords: Entrepreneur Performance, HR Competence, Entrepreneurial Motivation, Women Entrepreneurs, Fashion Industry. ABSTRAK Penelitian ini bertujuan untuk menyelidiki dampak kompetensi sumber daya manusia dan motivasi berwirausaha terhadap kinerja para pengusaha wanita di industri fashion Kabupaten Klungkung, Bali, Indonesia, khususnya dalam usaha mikro, kecil, dan menengah (UMKM). Studi ini mengacu pada teori manajemen, teori sumber daya manusia tingkat menengah, dan teori terapan terkait kompetensi sumber daya manusia, motivasi, dan kewirausahaan. Metodologi penelitian yang digunakan bersifat kuantitatif, dengan menggunakan kuesioner sebagai alat pengumpulan data utama. Studi ini melibatkan sampel dari 54 usaha UMKM, dan analisis data dilakukan menggunakan perangkat lunak SPSS versi 24. Tiga hipotesis diuji dalam penelitian ini. Hasil penelitian menunjukkan bahwa variabel kompetensi sumber daya manusia memiliki pengaruh positif yang signifikan terhadap kinerja berwirausaha. Selain itu, kompetensi sumber daya manusia juga memiliki pengaruh positif yang signifikan terhadap motivasi berwirausaha. Variabel motivasi berwirausaha juga berpengaruh signifikan terhadap kinerja berwirausaha. Namun, perlu dicatat bahwa dampak kompetensi sumber daya manusia dan motivasi berwirausaha terhadap kinerja berwirausaha dianggap relatif sederhana Kata kunci: Kinerja Berwirausaha, Kompetensi SDM, Motivasi Berwirausaha, Pengusaha Wanita, Industri Fashion
Relationship Between Religiosity and Self-Control with Cybersex Behavior in School Students

Teenagers, characterized by burgeoning curiosity about sexual material on the internet and often a lack of self-control, are increasingly free to explore the web. This study endeavors to discern the relationship between religiosity and self-control in relation to cybersex behavior among students. The respondents comprised 80 students from two Public High Schools located in Surabaya and Pasuruan, Indonesia, aged between 15-18 years. The study employs a quantitative correlation method, with research data collated through Google Forms, utilizing scales of religiosity, self-control, and cybersex behavior that have satisfied the criteria of validity and reliability. The data were subsequently analyzed using Spearman's rank non-parametric statistical analysis. The results of this study show a substantial negative relationship between religiosity and cybersex behavior, with a correlation coefficient value between the two of -0.509 and a significance level of . 000 (p = .05). Similar results showed that self-control and cybersex conduct had a correlation value of -. 402, with a significance level of . 000 (p = .05) signifying a substantial negative relationship. Therefore, there is a strong inverse association between self-control and cybersex.
Hepatic Transcriptome Comparative In Silico Analysis Reveals Similar Pathways and Targets Altered by Legacy and Alternative Per- and Polyfluoroalkyl Substances in Mice

Per- and poly-fluoroalkyl substances (PFAS) are a large class of fluorinated carbon chains that include legacy PFAS, such as perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), and perfluorohexane sulfonate (PFHxS). These compounds induce adverse health effects, including hepatotoxicity. Potential alternatives to the legacy PFAS (HFPO-DA (GenX), HFPO4, HFPO-TA, F-53B, 6:2 FTSA, and 6:2 FTCA), as well as a byproduct of PFAS manufacturing (Nafion BP2), are increasingly being found in the environment. The potential hazards of these new alternatives are less well known. To better understand the diversity of molecular targets of the PFAS, we performed a comparative toxicogenomics analysis of the gene expression changes in the livers of mice exposed to these PFAS, and compared these to five activators of PPARα, a common target of many PFAS. Using hierarchical clustering, pathway analysis, and predictive biomarkers, we found that most of the alternative PFAS modulate molecular targets that overlap with legacy PFAS. Only three of the 11 PFAS tested did not appreciably activate PPARα (Nafion BP2, 6:2 FTSA, and 6:2 FTCA). Predictive biomarkers showed that most PFAS (PFHxS, PFOA, PFOS, PFNA, HFPO-TA, F-53B, HFPO4, Nafion BP2) activated CAR. PFNA, PFHxS, PFOA, PFOS, HFPO4, HFPO-TA, F-53B, Nafion BP2, and 6:2 FTSA suppressed STAT5b, activated NRF2, and activated SREBP. There was no apparent relationship between the length of the carbon chain, type of head group, or number of ether linkages and the transcriptomic changes. This work highlights the similarities in molecular targets between the legacy and alternative PFAS.
Analysis of China's Strategy on Arctic Route

The focus of Arctic issues is the Arctic route rights and interests competition.With the melting of the Arctic Ocean anticipation and the follow-up great interest,the Arctic route issue becomes more and more important.With regard to complicated and abnormal issues in the Arctic route,this paper brings forward the approach of combining SWOT with AHP to analysis the Arctic route issue.In the end,this paper discusses China's strategic analysis of arctic route.They can help us understand the current situation and put forward feasible plan in the Arctic route issue.
Source dynamics of two great earthquakes of the Indian subcontinent: The Bihar-Nepal earthquake of January 15, 1934 and the Quetta earthquake of May 30, 1935

abstract Source mechanisms of two major destructive earthquakes which occurred at the Bihar-Nepal border and in the Quetta region on January 15, 1934 and May 30, 1935, respectively, are determined using the P -wave first motions, S -wave polarization angles, and surface-wave spectral data. The high stress drop and apparent stress associated with these events suggest that high tectonic stresses are prevailing in these regions. A major part of the stresses accumulated before the occurrence of the two earthquakes had been released through the main shock. An investigation of temporal and spatial variation of regional seismicity reveals possible existence of seismic gaps before the occurrence of these two major events.
An Improved Depth Estimation using Stereo Matching and Disparity Refinement Based on Deep Learning

—Stereo matching techniques are a vital subject in computer vision. It focuses on finding accurate disparity maps that find its use in several applications namely reconstruction of a 3D scene, navigation of robot, augmented reality. It is a method of obtaining corresponding matching point in stereo images to get disparity map. With additional details, this disparity map could be converted into a depth of a scene. Obtaining an efficient disparity map in the texture less, occluded, and discontinuous areas is a difficult job. A matching cost using an improvised Census transform and an optimization framework is proposed to produce an initial disparity map. The classic Census transform focus on the value of pixel at the center. If this pixel is prone to noisy condition, then the census encoding may differ which leads to mismatches. To overcome this issue an improved census transform based on weighted sum values of the neighborhood pixels is proposed which suppresses the noise during stereo matching. Additionally, a deep learning based disparity refinement technique using the generative adversarial network to handle texture less, occluded, and discontinuous areas is proposed. The suggested method offers cutting-edge performance in terms of both qualitative and quantitative outcomes.
Antimalarial evaluation of alkyl-linked bis-thiadiazine derivatives in murine model infected with two Plasmodium strains

Background and Purpose: Plasmodium falciparum and P. vivax are responsible for most malaria cases in humans in the African Region and the Americas; these parasites have developed resistance to classic antimalarial drugs. On the other hand, previous investigations of the alkyl-linked bis tetrahydro-(2H)-1,3,5-thiadiazine-2-thione (bis-THTT) derivatives compounds show satisfactory results against protozoan parasites such as Trypanosoma cruzi, Trypanosoma vaginalis, Trypanosoma brucei rhodesiense and Leishmania donovani. Therefore, it is possible to see some effect of bis-THTT derivatives on other protozoan parasites, such as Plasmodium. Experimental Approach: This study aimed to perform an in vivo biological evaluation of bis-THTT (JH1 to JH6) derivatives compounds as possible anti-malaria drugs in BALB/c mice infected with Plasmodium berghei ANKA and Plasmodium yoelii 17XL strains. In this work, we evaluated the compounds as potential antimalarial drugs in BALB/c mice infected with Plasmodium strains. Key Results: For each compound, we assess the percentages of parasitemia by smears from tail blood and the humoral response by indirect ELISA test using each compound as an antigen. We also evaluated the B lymphocyte response and the cytotoxicity of the bis-THTT derivatives compounds with MTT cell proliferation assays. Conclusions: Our results show that the bis-THTT derivatives JH2 and JH4 presented effective parasitemia control in mice infected with P. berghei; JH5 and JH6 compounds have similar infection control results as chloroquine in mice infected P. yoelii strain. The evaluation of bis-THTT derivatives compounds in a model of BALB/c mice infected with P. berghei and P. yoelii allowed us to conclude that some of them have an antimalarial effect; however, none of the tested compounds exceeded the efficiency of chloroquine.
Why You Cannot Rank First: Modifications for Benchmarking Six-Degree-of-Freedom Visual Localization Algorithms

Robust and precise visual localization over extended periods of time poses a formidable challenge in the current domain of spatial vision. The primary difficulty lies in effectively addressing significant variations in appearance caused by seasonal changes (summer, winter, spring, autumn) and diverse lighting conditions (dawn, day, sunset, night). With the rapid development of related technologies, more and more relevant datasets have emerged, which has also promoted the progress of 6-DOF visual localization in both directions of autonomous vehicles and handheld devices.This manuscript endeavors to rectify the existing limitations of the current public benchmark for long-term visual localization, especially in the part on the autonomous vehicle challenge. Taking into account that autonomous vehicle datasets are primarily captured by multi-camera rigs with fixed extrinsic camera calibration and consist of serialized image sequences, we present several proposed modifications designed to enhance the rationality and comprehensiveness of the evaluation algorithm. We advocate for standardized preprocessing procedures to minimize the possibility of human intervention influencing evaluation results. These procedures involve aligning the positions of multiple cameras on the vehicle with a predetermined canonical reference system, replacing the individual camera positions with uniform vehicle poses, and incorporating sequence information to compensate for any failed localized poses. These steps are crucial in ensuring a just and accurate evaluation of algorithmic performance. Lastly, we introduce a novel indicator to resolve potential ties in the Schulze ranking among submitted methods. The inadequacies highlighted in this study are substantiated through simulations and actual experiments, which unequivocally demonstrate the necessity and effectiveness of our proposed amendments.
Tourism Climate and Its Comfort Degree in Urumqi

Climate is consisted of temperature,air relative humidity,wind speed,sunshine,precipitation and other factors,and the interaction among the factors affects the natural ecosystems and human activities. Studying the regional tourism climate could not only provide the meteorological evidences for the tourism development,but could also help the tourism operators to choose the appropriate activities,time and places for tourists. According to the meteorological data in Urumqi during the period from 1962 to 2011,in this paper the main tourism climatic factors,such as the air temperature,relative humidity,precipitation,wind speed and sunshine duration,were analyzed. Based on calculating and analyzing the hydrothermal index,wind-chill index and clothing index,a new integrated comfort index model was developed to analyze the integrated comfort degree of tourism climate in Urumqi,and the grades of tourist fitness and time distribution are divided. The results are as follows: ① The traveling period in Urumqi was from May to September,and April was the month turning from unsuitability to suitability,October was the month shifting from suitability to unsuitability,and the period from November to next March was not suitable for travel; ② During the study period,both the air temperature and precipitation were increased,wind speed was reduced,the change of relative humidity was slight,the climate was trended towards a warming-wetting pattern,and such climate would attract more and more visitors and increase their comfort degree during their trip; ③The suitable travel duration would be extended,and this change would promote the tourism development in Urumqi.
Seismic damage identification by graph convolutional autoencoder using adjacency matrix based on structural modes

Immediate post‐earthquake identification of structural damage is essential to prevent the loss of structural functionality and system failure. Vibration‐based damage identification methods have been widely implemented, but most tend to ignore a critical damage‐sensitive feature, the spatial correlation between sensor measurements. To this end, this paper proposes near‐real‐time damage identification by a graph convolutional autoencoder (GCAE) based on seismic responses of the structural system. The GCAE model accurately considers the spatial correlation and structural characteristics using a weighted adjacency matrix based on the structural modes. The proposed model consists of three main parts: (1) an “encoder” that learns latent features of the input data by considering the spatial information; (2) a “graph structure decoder” that detects anomalies in spatial correlation; and (3) a “node feature decoder” that captures changes in vibration signals. The GCAE model is trained to reconstruct structural responses of the target structure and the adjacency matrix in a healthy state. The seismic damage is then identified by the structural damage index calculated based on the difference between the input and reconstructed data. As numerical investigations, the proposed method is applied to two‐ and three‐dimensional steel frame structures. The train, validation, and test datasets are obtained by structural analyses using ground motions from the PEER‐NGA strong motion database. The proposed method is verified by the near‐real‐time simulation using the test dataset. The results show that the proposed GCAE model can accurately identify seismic damage in near‐real‐time.