Miracle-dz/UniFAR-FTUs huggingface dataset:
LONG-TERM EARTHQUAKE FORECAST FOR IRAN

We present a model of earthquake forecasting in Iran to assess the long-term probabilities of future earthquakes with moderate and large magnitudes (M ≥ 5.5). The model estimates a coupled rate of magnitude, space and time for future seismicity using a spatial-temporal Poisson process. We applied the ISC bulletin for the selected region (latitude 2541° and longitude 43.564°) in the period of 1970 to 2012. Our results show a meaningful correlation between anomalies of the forecasted seismicity map and the epicenters of target events occurred from 2013 to 2014. Based on the results, we have concluded that the anomalies of the forecasted map should be considered as high risk regions. INTRODUCTION Iranian plateau is one of the most seismically active regions in the world and it frequently suffers catastrophic earthquakes. They cause heavy loss of human life along with lots of property damages because of the poor quality of constructions in Iran. In this study, we have investigated the occurred earthquakes in this region from 1970 to 2012 in order to estimate the probability of future moderate and large magnitude events (M ≥ 5.5) in a five-year period (forecasted seismicity map). The earthquakes occurred in the period of 2013-2015 has also been applied for validity test of the forecasted seismicity map. DATA We applied the regional data sets of the International Seismological Centre (ISC). This catalog is available at http://www.isc. ac.uk/. The ISC’s reviewed earthquake origins are typically available about two
Improvement of Clinical Symptoms and Gut Microbiome After Fecal Microbiota Transplantation: A Case Study of a 106-Year-Old Man with MODS

Fecal microbiota transplantation (FMT) has been used in a wide variety of diseases. Many researchers hypothesize that the dysbiosis of intestinal microbiota plays an important role in the development of gut-derived infections; thus, FMT is a potential therapeutic target against multiple organ dysfunction syndrome (MODS). A 106-year-old male patient was initially diagnosed with cerebral infarction and pulmonary infection. During the course of hospitalization, the patient developed MODS. The patient received a single nasogastric infusion of sterile-filtered, pathogen-free feces from a healthy donor. Fecal samples were collected every two days post-infusion to monitor changes in the microbiota composition in response to treatment. After FMT, MODS and severe diarrhea were alleviated; the patient’s fecal microbiome diversity resembled that of the healthy donor’s fecal microbiome; moreover, his clinical symptoms improved remarkably with the changes in fecal microbiome. Additionally, no observable side effects were noted during FMT treatment. These findings warrant further investigation of FMT as a putative new therapy for treating microbiota-related diseases, such as MODS.
Intrusion Detection System Based on Data Mining Research

with the development of computer network technology,the firewall in the application deficiency leads people to explore new defense technology,intrusion detection system(IDS) was born.First described the concept and model of intrusion detection technology,and then analyzed the data mining techniques and algorithms,and then proposed a kind of data mining technology in intrusion detection system,and data mining association rules algorithm in application to practice,obtain very good effect.
Phonologically motivated orthographic variation in Modern Uyghur: the voicing of h

In this paper, I present data from three corpora of written Uyghur showing that the conventionally voiceless letter h, which occurs in words of Arab-Persian etymology, sometimes patterns as voiced in stem-final environments where it is a trigger for morphophonemic voicing assimilation in a following segment. Results indicate that when authors omit root-final h from the spelling, they tend to use voiced suffix-initial consonants, but when the h is written there is considerable variation both between and within authors and lexemes. No other phonological or functional factors were identified as being strong predictors of the variation. I interpret this as reflecting a probabilistic process of lenition or deletion of root-final /h/ in the adaptation of these loanwords that has diffused at different rates across the lexicon for different speakers.
RECENT HARP AND HOODED SEAL PUP PRODUCTION ESTIMATES IN THE GREENLAND SEA SUGGEST ECOLOGY-DRIVEN DECLINES

Pup production of the Greenland Sea populations of harp (Pagophilus groenlandicus) and hooded (Cystophora cristata) seals were estimated based upon aerial surveys in March 2018. One fixed-wing aircraft was used for large-area reconnaissance flights to identify the whelping concentrations and to carry out photographic surveys along systematic transects over the whelping areas. A helicopter, operated from an ice-going vessel, flew more localised reconnaissance flights, deployed GPS beacons within the detected whelping concentrations to monitor ice movements, and determined the proportion of pups in specific age-related developmental stages. While the entire estimated pupping region should ideally be covered during one day, photographic surveys in 2018 were carried out on two consecutive days, March 27 and 28, with slightly different survey designs between the two days to account for potential gaps in coverage caused by changes in visibility and cloud cover. Surveys on the two days were partially overlapping, and pup production estimates were consistent when using different combinations of transects from the two days, suggesting that these photographic counts give a relatively robust estimate of pup production in 2018. The combination of surveys that was deemed most appropriate (in terms of maximum coverage with minimum risk of double coverage) yielded an estimated harp seal pup production of 54,181 (SE=9,236, CV=0.17), which is significantly lower than estimates obtained in similar surveys in 2002, 2007, and 2012. Estimated hooded seal pup production was 12,977 (SE=1,823, CV=0.14), which is lower than estimates obtained from surveys in 2005 and 2007, but similar to estimates from the most recent survey in 2012. The reasons for these declines are unknown, but similar declines in the Barents Sea and White Sea harp seals in the mid-2000s suggest that large-scale environmental or ecological changes affecting the Barents Sea and the Norwegian Sea may be important factors.
Peran Digital Marketing Terhadap Minat Berkunjung Wisatawan dalam Meningkatkan Pertumbuhan Ekonomi Kabupaten Garut : Store Atmosfer Variabel Moderating

Abstrak – Pemulihan ekonomi nasional dan pertumbuhan ekonomi pasca pandemi Covid-19 dengan mengembangkan sektor prioritas seperti pada sektor pariwisata. Potensi daya tarik wisata yang dimiliki kota Garut, antara lain berupa keanekaragaman hayati, keunikan dan keaslian budaya daerah, keindahan bentang alam dan peninggalan sejarah sebagai salah satu bidikan penerimaan daerah yang berkontribusi pada kesejahteraan masyarakat. Tujuan penelitian untuk mengetahui peran digital marketing terhadap minat berkunjung wisatawan dalam meningkatkan pertumbuhan ekonomi kabupaten garut dan store atmosphere sebagai variabel moderating. Penelitian ini dengan menggunakan metode studi kasus mensyaratkan sumber data yang multi sources. Hasil penelitian menunjukkan bahwa upaya mendorong laju sektor pariwisata salah satunya dengan digital marketing dan tetap memperhatikan aspek store atmosphere sehingga dapat mendorong minat berkunjung wisatawan.
Mapping Predictive Maintenance in SCADA-Based Industries: A literature review

The purpose of this paper is to mapping and review what has been done on the topic of research on predictive maintenance in SCADA (Supervisory Control and Data Acquisition) based industries. In the research area of predictive maintenance, various methods for predicting damage or time to failure of a machine have been proposed and applied in various industries. This paper systematically categorizes predictive maintenance in SCADA-based industries research based on industry classifications according to ISIC (International Standard Industrial Classification of All Economic Activities). Furthermore, the research scope is explored its connection to the topics of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Supervisory Control and Data Acquisition (SCADA). It is found that 81.5% of the research was conducted on the electricity, gas, steam, and air conditioning supply industries, 11.1% of research was conducted on the mining and quarrying industry, and 7.4% of the research conducted in the manufacturing industry. It is also found that 85.2% of studies used AI and ML, 18.5% of the studies used IoT, and 18.5% of research used AI/ML and IoT technology together.
Global Journal of Business, Economics, and Management: Current Issues

There is a risk involved in measuring the impression of land fragmentation on productivity at the micro-level. The impression of this study is to investigate the correlation of land fragmentation and rice production efficiency into two different major rice cropping zones, which are mostly in the middle and upper part of the Sindh province, Pakistan. For this study, random data of 450 rice growers were collected from 5 major growing districts (Dadu, Naushahroferoze, Sukkur, Larkana, and Shikarpur) of Sindh province Pakistan, 432 respondents were analyzed out of 450. Cob Douglas and the censored normal Tobit model were analyzed by using SPSS and E-views. According to the results, the production function opined that the production can be increased owing to the increase in family income, ploughing, planking, and irrigation. It also confirmed that the reduction in land rent, temporary labor with fertilizer usages such as urea, DAP, and chemical spray would cause a production increase in the middle part of Sindh. The results policy suggested the assurance of land fragmentation and distance from homestead to farm has a significant correlation with rice production.
The Reduction of Tau Hyperphosphorylation by Cornel Iridoid Glycosides Is Mediated by Their Influence on Calpain Activity

Alzheimer's disease (AD) is the most common type of dementia, and the abnormal hyperphosphorylation of the tau protein is the main component of its pathogenesis. Calpain was found to be abnormally activated in neurofibrillary tangles (NFTs) in a previous report. Cornel iridoid glycosides (CIG) have been reported to reduce the hyperphosphorylation of tau protein. Nevertheless, the role of calpain in the reduction tau hyperphosphorylation by CIG remains unclear. In the present study, we investigated the effect of CIG on calpain activity through in vitro and in vivo experiments. Western blotting results suggested that CIG decreased the phosphorylation of tau at Ser 404 and Ser 262 sites in P301S mice. Moreover, CIG inhibited the activity of calpain and glycogen synthase kinase 3β (GSK-3β) and enhanced the activity of protein phosphatase 2A (PP2A) both in vivo and in vitro. CIG also inhibited the activation of PP2A and reduced the GSK-3β activity caused by the calpain activator dibucaine. In addition, the main components of CIG, morroniside and loganin, play an equivalent role in reducing calpain activity, as the effect of their combined use is equivalent to that of CIG. The abovementioned findings revealed that CIG improved PP2A activity and reduced GSK-3β activity by adjusting the activity of calpain 1, leading to a reduction in the phosphorylation of tau. This study highlights the remarkable therapeutic potential of CIG for managing AD.
A Nanosecond Pulse Genarator Based on Digital Circuit

In this paper,the basic UWB concepts and technology characteristics are introduced.Several typical methods of UWB pulse generation are described and compared.A new nanosecond UWB pulse generator based on digital circuit is implied.The basic theory and the performance of the key device are introduced,and the circuit diagram is also given.At the end of the article,the experiment results and the conclusion based on the results are presented.
TEMPERATURE DECREASE AND SOLIDIFICATION INTERFACE ADVANCEMENT OF OVERHEAD CRUDE PIPELINE DURING SHUTDOWN

The process of temperature decrease is the key to determine the safe time of shutdown in the whole pipeline due to overhead pipeline without soil thermal storage to slow up heat dissipation.According to oil temperature,oil in pipeline is divided into there parts: liquid oil region,solidifying region and solid oil region.Assumed that solidifying region was porous media which were made of solid oil as solid skeleton and liquid oil as packed fluid phase and advanced towards the center of pipeline with temperature decreased.The coupled heat transfer model with conservation equation of air,pipeline and oil was established with consideration of the influence of solidification latent heat and heat convection across pipeline in air on oil temperature decrease.Numerical simulation was done for pipeline during shutdown.The results show that oil temperature decreases fast in early stage of shutdown and decreases slowly in middle and late stages due to solidification latent heat release and thermal resistance increase with the increase of thickness of solidified oil.Difference of convection coefficient across pipeline results in inhomogeneous temperature distribution in circumference of pipeline and offsetting of solidification interface center in pipeline.
Effect of Short-Term Deep-Pressure Portable Seat on Behavioral and Biological Stress in Children with Autism Spectrum Disorders: A Pilot Study

Children with autism spectrum disorder (ASD) have challenging behaviors, which are associated with difficulties in parenting. Deep pressure is a therapeutic modality in occupational therapy, and it was reported to produce a calming effect. This study aimed to determine whether the short-term use of an autism hug machine portable seat (AHMPS) improves behavioral and neurobiological stress in children with ASD, and to determine whether AHMPS with an inflatable wrap or manual pull is more effective. This study enrolled children with ASD who were administered with the inflatable wrap (group I) and manual pull (group II) for 20 min twice a week for 3 weeks. Conners’ Parent Rating Scale-48 (CPRS-48) was used to rate behavioral improvements, and galvanic skin response (GSR) was used to measure sympathetic stress response. A total of 20 children with ASD (14 boys and 6 girls; aged 7–13 years) were included. CPRS-48 presented conduct problems: behavior was significantly decreased in the inflatable group (p = 0.007) compared to the manual pull group. The GSR captured a significant reduction in sympathetic response (p = 0.01) only in group I. Neurobiological stress was reduced in children who were wearing the AHMPS inflatable wrap; therefore, AHMPS inflatable wrap is an effective method to reduce emotional arousal.
Research on remote sensing image extraction based on deep learning

Remote sensing technology has the advantages of fast information acquisition, short cycle, and a wide detection range. It is frequently used in surface resource monitoring tasks. However, traditional remote sensing image segmentation technology cannot make full use of the rich spatial information of the image, the workload is too large, and the accuracy is not high enough. To address these problems, this study carried out atmospheric calibration, band combination, image fusion, and other data enhancement methods for Landsat 8 satellite remote sensing data to improve the data quality. In addition, deep learning is applied to remote-sensing image block segmentation. An asymmetric convolution-CBAM (AC-CBAM) module based on the convolutional block attention module is proposed. This optimization module of the integrated attention and sliding window prediction method is adopted to effectively improve the segmentation accuracy. In the experiment of test data, the mIoU, mAcc, and aAcc in this study reached 97.34%, 98.66%, and 98.67%, respectively, which is 1.44% higher than that of DNLNet (95.9%). The AC-CBAM module of this research provides a reference for deep learning to realize the automation of remote sensing land information extraction. The experimental code of our AC-CBAM module can be found at https://github.com/LinB203/remotesense.
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ

Many recently proposed code clone detectors exploit neural networks to capture latent semantics of source code, thus achieving impressive results for detecting semantic clones. These neural clone detectors rely on the availability of large amounts of labeled training data. We identify a key oversight in the current evaluation methodology for neural clone detection: cross-functionality generalization (i.e., detecting semantic clones of which the functionalities are unseen in training). Specifically, we focus on this question: do neural clone detectors truly learn the ability to detect semantic clones, or they just learn how to model specific functionalities in training data while cannot generalize to realistic unseen functionalitiesƒ This paper investigates how the generalizability can be evaluated and improved.Our contributions are 3-folds: (1) We propose an evaluation methodology that can systematically measure the cross-functionality generalizability of neural clone detection. Based on this evaluation methodology, an empirical study is conducted and the results indicate that current neural clone detectors cannot generalize well as expected. (2) We conduct empirical analysis to understand key factors that can impact the generalizability. We investigate 3 factors: training data diversity, vocabulary, and locality. Results show that the performance loss on unseen functionalities can be reduced through addressing the out-of-vocabulary problem and increasing training data diversity. (3) We propose a human-in-the-loop mechanism that help adapt neural clone detectors to new code repositories containing lots of unseen functionalities. It improves annotation efficiency with the combination of transfer learning and active learning. Experimental results show that it reduces the amount of annotations by about 88%. Our code and data are publicly available1.
Narrative language development of Persian-English bilingual children attending an immersion preschool

Purpose: This study aimed to provide a better understanding of the language development of bilingual children who attend a Persian immersion preschool in the United States, with a specific focus on their microstructural language skills derived from a story retell task.Methods: Participants included two groups of preschoolers: 14 Persian-English bilingual children who attended a Persian immersion preschool (2- through 5-years of age) and 16 monolingual English-speaking children who attended an English-only preschool (3- through 5-years of age). Participants completed a story retell task, and their parents completed a questionnaire regarding their child’s language environment.Results: Analyses revealed that Persian-English bilingual children produced narratives that are comparable to their same-aged, English monolingual peers with regard to measures of microstructure. Furthermore, mean length of utterance in morphemes was significantly associated with parental language input, positively with Persian input, and negatively with English input.Conclusions: Findings demonstrate that Persian-English bilingual children who attend a Persian immersion preschool develop English to a level comparable to same-age English monolingual peers based on language produced during a story retell task.
Better communication between experts is needed to solve the environmental origins of birth defects

More than 6% of babies are born with a structural or functional defect, and many of these need special care and treatment to survive and thrive. Such defects can be inherited, arise through exposure to altered conditions or compounds in the womb, or result from a combination of genetic and environmental factors. Since the 1940s, animal experiments and epidemiological studies have identified many environmental factors that can cause particular birth defects. More recently, advances in genomics have allowed a simple genetic diagnosis in ∼ 30% of birth defects. However, the cause of the remainder is a mystery. I believe that a key limiter to successful identification of new environmental factors is that clinicians, epidemiologists and developmental biologists all approach the topic from different angles. I propose that better communication between such experts will further increase our understanding of the environmental causes of birth defects, and potentially reduce their global burden.
Numerical simulation of the gas distribution in the gobs of U-type and Y-type ventilation mining working faces

The article is mainly concerned about the gas distribution in gobs of U-type and Y-type ventilation mining working faces.So far as we know,the application of Y-type ventilation method can solve problems that U-type ventilation method can not do,for example,the disallowed gas concentration in the upper corner and return airway.In order to make a comparative analysis of gas migration and distribution regularity in the gobs by using the both ventilation methods,we have established physical models of the gobs by using both the U-type and Y-type ventilation manners and prepared a numerical simulation model in the air leakage flow field so as to look into the leakage situation(wind speed distribution along the border of the gobs) more profoundly and the gas concentration distribution in the gobs by using both U-type and Y-type ventilation via the fluent.The results of our study show that the air leakage flowing situation at the working face in the gob with Y-type ventilation is quite different from that with U-type.To be exact,with Y-type ventilation,most of gas can be carried out to the gob through the side entry retaining,only a small part of gas,that is,0.5%,can be carried out to the upper corner of the working face.It can also be found that in case of Y-type ventilation,there is only about 50% of leakage getting out at the end of 0-30 m in the front of the working face,whereas in 30-90 m at the end of working face the leakage parentage can only be about 46%. Moreover,the greater the distance of the deep gob side from the entry retaining,the less amount the air leakage can get out from the gob.But it is obvious that if the total leakage is greater than that which can be done through the U-type ventilation,it would be possible for the high-concentration gas accumulation in the gob to be avoided.Therefore,it can be concluded that by using "two intakes and one return," the Y-type ventilation can be expected to solve the problems of gas accumulation in the upper corner and therefore disallow the gas concentration return to the airway basically.