Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and Application of a 1D Compaction Model to Understand 65 Years of Subsidence in the San Joaquin Valley

High rates of land subsidence, caused by groundwater overdraft, are resulting in millions of dollars of infrastructure damage in California's San Joaquin Valley (SJV). In recent years, the use of interferometric synthetic aperture radar (InSAR) has enabled us to substantially improve our understanding of this subsidence. However, only very occasionally have the InSAR data been integrated with a physical model of subsurface compaction. Here, we have used InSAR and other data to parameterize and calibrate a 1D compaction model. We applied our model to a study area in the SJV where we had access to the necessary information on hydraulic head to develop model inputs. Our model simulated subsidence in the three aquifer system layers over the period 1952–2017, and is the first 1D compaction model in the SJV to simulate multiple aquifer system layers from the 1950s to 2017. The results from our model suggest that previous studies have significantly underestimated the time constants governing the slow, residual compaction of subsurface clays. We suggest that residual compaction of clays is a process that continues for decades‐to‐centuries, indicating that to significantly reduce subsidence requires some recovery of head, not just a stabilization. We also show how compaction in the lower, confined aquifer has accounted for over 90% of subsidence in the past 20 years. Although our study area is small, our findings are likely representative of the subsiding regions of the SJV, and our methodology can be applied to unconsolidated aquifer systems exhibiting subsidence worldwide.
A Communication Framework for Image Transmission through LPWAN Technology

Analyzing the conditions of use and selecting which technology is more efficient to apply is required when transmitting information through wireless networks.The Internet of Things (IoT) has gained traction in industry and academia as a paradigm in which information and communication technologies merge to deliver unique solutions by detecting, actuating, calculating, and sharing massive volumes of data via embedded systems. In this scenario, Low-Power Wide-Area Networks (LPWAN) appear to be an attractive solution for node connectivity. Typical IoT solutions demand flexible restrictions for wireless communication networks in terms of data rates and latency in exchange for having larger communication ranges and low energy consumption. Nonetheless, as the amount of data and data speeds demanded for particular applications increase, such as image transmissions, IoT network connectivity deteriorates. This paper proposes a communication architecture for image transmission across LPWAN networks utilizing LoRa modulation. The framework combines image processing techniques (classification, compressive sensing (CS), and reconstruction) with an investigation of LoRa modulation parameters using a Software-Defined Radio (SDR) environment. The results show that is possible to communicate an image of 128×128 pixels with four packets and one frequency channel in 2.51 s.
RESEARCH METHODS OF WATER PURIFICATION FROM POLLUTION WITH PETROLEUM AND PETROLEUM PRODUCTS

Настоящая статья посвящена обзору существующих на данный момент способов очистки вод от загрязнений нефтью и нефтепродуктами. Рассмотрены как наиболее популярные способы очистки, так и новые перспективные технологии, а именно биосорбционный метод, очистка при помощи магнитов, озонирование воды , очистка флотационно-кавитационным методом. По каждому методу борьбы с нефтяными загрязнениями приведены обстоятельства и факторы , в условиях которых применение данного метода является наиболее эффективным и экономически целесообразным. Кратко описана технология каждого метода, а также приведены его основные достоинства и недостатки, особенности применения и качество очистки вод Ключевые слова: ЗАГРЯЗНЕНИЕ ВОД НЕФТЬЮ И НЕФТЕПРОДУКТАМИ , МЕТОДЫ ОЧИСТКИ , МЕХАНИЧЕСКИЙ МЕТОД , МИКРОБИОЛОГИЧЕСКИЙ СПОСОБ, ФИЗИКО -ХИМИЧЕСКИЙ МЕТОД UDC 502.37 Technical science RESEARCH METHODS OF WATER PURIFICATION FROM POLLUTION WITH PETROLEUM AND PETROLEUM PRODUCTS Privalova Natalia Mikhailovna Cand.Chem.Sci., associate professor dodoka57@mail.ru Dvadnenko Marina Vladimirovna Cand.Chem.Sci., associate professor meriru@rambler.ru Kuban State University of Technology, Krasnodar, Russia Nekrasova Alina Aleksandrovna expert midel80@mail.ru ECC MD MIA of Russia for the Krasnodar region, Krasnodar, Russia Popova Olga Sergeevna engineer expert p_olgas@mail.ru Azov-Black Sea Expert Company, Novorossiysk, Russia Privalov Dmitry Mihailovich master privaldo@mail.ru Kuban State University of Technology, Krasnodar, Russia This article provides an overview of the currently existing methods of purification of waters from pollution with petroleum and petroleum products. The most popular cleaning ways and new emerging technologies are considered. For each method of combating with petroleum pollution the circumstances and the factors are given, under which the application of this method is the most efficient and cost-effective. The article briefly describes the technology of each method, and its main strengths and weaknesses, particularly the use and quality of water purification Keywords: WATER POLLUTION WITH PETROLEUM AND PETROLEUM PRODUCTS, CLEANING METHODS, MECHANICAL METHOD, MICROBIAL PROCESS, PHYSICAL-CHEMICAL METHOD
Developing a Marine Predator Algorithm for Optimal Power Flow Analysis considering Uncertainty of Renewable Energy Sources

Optimal power flow (OPF) is a crucial issue to maintain the reliable operation of power systems. However, achieving this objective is not easy, especially when renewable energy sources (RESs) are penetrated into the power system due to their uncertainty nature. This paper provides an optimal solution for the power flow problem including two different types of RESs based on a marine predator algorithm (MPA). The OPF model used in this paper has three different types of energy resources (thermal, wind, and solar). The output power from wind or solar generator has two probabilities either underestimation or overestimation consequently. These two probabilities have been translated into the objective function by two extra costs, penalty cost, and reserve cost, respectively. To check the validity of the proposed algorithm, it is applied to a modified IEEE-30 and IEEE-57 bus systems. The obtained results are compared with some recent optimization methods. The results show the effectiveness of marine predator algorithm in providing the optimal solution for the power flow problem with maintaining the power system constraints inviolate.
Sevoflurane Induces Neurotoxicity in the Animal Model with Alzheimer’s Disease Neuropathology via Modulating Glutamate Transporter and Neuronal Apoptosis

Perioperative neurocognitive disorders are frequently observed in postoperative patients and previous reports have shown that pre-existing mild cognitive impairment with accumulated neuropathology may be a risk factor. Sevoflurane is a general anesthetic agent which is commonly used in clinical practice. However, the effects of sevoflurane in postoperative subjects are still controversial, as both neurotoxic or neuroprotective effects were reported. The purpose of this study is to investigate the effects of sevoflurane in 3 × Tg mice, a specific animal model with pre-existing Alzheimer’s disease neuropathology. 3 × Tg mice and wild-type mice were exposed to 2 h of sevoflurane respectively. Cognitive function, glutamate transporter expression, MAPK kinase pathways, and neuronal apoptosis were accessed on day 7 post-exposure. Our findings indicate that sevoflurane-induced cognitive deterioration in 3 × Tg mice, which was accompanied with the modulation of glutamate transporter, MAPK signaling, and neuronal apoptosis in the cortical and hippocampal regions. Meanwhile, no significant impact was observed in wild-type mice. Our results demonstrated that prolonged inhaled sevoflurane results in the exacerbation of neuronal and cognitive dysfunction which depends on the neuropathology background.
The Impact of the Provision of the COVID-19 Vaccine on Healthcare Stocks in Indonesia

The Coronavirus, which was firstly confirmed in Indonesia in 2020, had a hindering effect on the country's economy but a great impact on pharmaceutical companies. The first batch of vaccines that was administered in Indonesia on January 13, 2021, had a significant impact on healthcare stocks. This study examined the impact of the COVID-19 vaccine on healthcare stocks in Indonesia as seen from the stock price and the trading volume. Secondary data from 19 healthcare companies seven days before and seven days after the administration of COVID-19 vaccine was analyzed. Paired Samples t-test was carried out using the SPSS program. This study indicated that the administration of the COVID-19 vaccine has a strong impact in terms of increased changes in the healthcare stocks. Meanwhile, the trading volume decreased after the administration of the COVID-19 vaccine in Indonesia.The average of abnormal returns before and after the COVID-19 vaccine were at t-2, t+1, t+2, t+3, and t+7. Theoretically, the results of this discussion can be used as reference material for further research. In addition, it can be used in the development of knowledge in the field of stocks or pharmaceutical companies. The results of this study can practically be used as a reference for investors in making investment decisions.
Natural Products Produced in Culture by Biosynthetically Talented Salinispora arenicola Strains Isolated from Northeastern and South Pacific Marine Sediments

Laboratory cultures of two ‘biosynthetically talented’ bacterial strains harvested from tropical and temperate Pacific Ocean sediment habitats were examined for the production of new natural products. Cultures of the tropical Salinispora arenicola strain RJA3005, harvested from a PNG marine sediment, produced salinorcinol (3) and salinacetamide (4), which had previously been reported as products of engineered and mutated strains of Amycolatopsis mediterranei, but had not been found before as natural products. An S. arenicola strain RJA4486, harvested from marine sediment collected in the temperate ocean waters off British Columbia, produced the new aminoquinone polyketide salinisporamine (5). Natural products 3, 4, and 5 are putative shunt products of the widely distributed rifamycin biosynthetic pathway.
Visual Multimedia Intelligent Computing System for Seismic Performance of Bridge Structure Based on Object-Oriented Technology

In order to further promote the standardization of seismic performance design of bridge structures, one must ensure the quality of bridge design and improve design efficiency. First, based on the basic principle of the probabilistic pushover method, the randomness of the structural pushover curve is attributed to the randomness of plastic hinges. Second, the visualization of seismic performance of bridge structures based on the object-oriented technology is adopted. So that the randomness of seismic action can be considered in the analysis of seismic performance. Finally, the limit state equation of the seismic performance of the structure is used to evaluate the reliability of the seismic performance of the bridge in each limit state conveniently. The results show that the failure probability of the structure in each limit state is less than 0.5 under different basic accelerations from 0 to 0.4 g. The software method is simple in calculation and has a strong adaptability, avoiding the difficulty of seismic reliability analysis caused by large-scale simulation and large amount of calculation of traditional structures. Therefore, this method can be easily applied to the probabilistic analysis of seismic behavior of bridge structures under large earthquakes without evaporative deformation failure criterion.
Model‐based risk assessment evaluation

Risk assessment (RA) belongs to the core parts of an organizational risk management process. The primary goals of a RA are the identification, estimation and prioritization of risk(s) to organizational operations. The existing quantitative analysis of RA is focusing on the risk factors, that is, threat or vulnerability. However, the quantitative metrics of the assessment have not been formally defined and modeled yet. Consequently, it is essential to define a formal model and relevant security metrics for RA within an organization. In this study, we will use a complete lattice to analyze risk factors. Moreover, a formal model will be defined to describe the RA process. The reachability of the model will be discussed. Quantitative metrics will be defined to provide insight on the risk estimation. The model can be expressed using colored Petri nets. This study can assist chief information security officers analyze security risks in their organizations and help them balance the security budget in their organizations.
Role of Ionic Liquids in Capillary Electrophoresis

Ionic liquids are a very important class of compounds due to their remarkable properties and wide range of applications. On the other hand, capillary electrophoresis is also gaining importance in separation science because of its fast speed and inexpensive nature. The use of ionic liquids in capillary electrophoresis is gaining importance continuously. The present review article describes the applications of ionic liquids in capillary electrophoresis. This article also describes the general aspects of ionic liquids and capillary electrophoresis. The use of ionic liquids in capillary electrophoresis, optimization of separation, mechanism of separation, and toxicity of ionic liquids, as well as their future perspectives, have also been discussed. It was observed that not much work has been performed in capillary electrophoresis using ionic liquids. It was also realized that the use of ionic liquids in capillary electrophoresis could revolutionize analytical science. Briefly, there is a great need for the use of ionic liquids in capillary electrophoresis for better and more effective separation.
High efficiency wide-band line drivers in low voltage CMOS using Class-D techniques

In this thesis, the applicability of Class-D amplifiers to integrated wide-band communication line driver applications is studied. While Class-D techniques can address some of the efficiency limitations of linear amplifier structures and have shown promising results in low frequency applications, the low frequency techniques and knowledge need further development in order to improve their practicality for wide band systems. New structures and techniques to extend the application of Class-D to wide-band communication systems, in particular the HomePlug AV wireline communication standard, will be proposed. Additionally, the digital processing requirements of these wide-band systems drives rapid movement towards nanometer technology nodes and presents new challenges which will be addressed, and new opportunities which will be exploited, for wide-band integrated Class-D line drivers. There are three main contributions of this research. First, a model of Class-D efficiency degradation mechanisms is created, which allows the impact of high-level design choices such as supply voltage, process technology and operating frequency to be assessed. The outcome of this section is a strategy for pushing the high efficiency of Class-D to wide band communication applications, with switching frequencies up to many hundreds of Megahertz. A second part of this research considers the design of efficient, fast and high power Class-D output stages, as these are the major efficiency and bandwidth bottleneck in wide-band applications. A novel NMOS-only totem pole output stage with a fast, integrated drive structure will be proposed. In a third section, a complete wide-band Class-D line driver is designed in a 0. 13μm digital CMOS process. The line driver is systematically designed using a rigorous development methodology and the aims are to maximise the achievable signal bandwidth while minimising power dissipation. Novel circuits and circuit structures are proposed as part of this section and the resulting fabricated Class-D line driver test chip shows an efficiency of 15% while driving a 30MHz wide signal with an MTPR of 22dB, at 33mW injected power.
The Impact Of Thin Trading Adjustments On Exchange Rate Exposure

This study investigates the multiple exchange rate exposure of large non-financial firms in Asia and emerging countries using the unadjusted and adjusted two-factor exchange rate exposure model. The autoregressive-distributed lag (ARDL) method was applied to investigate the existence of exchange rate exposure. The Dimson-Fowler-Rorke (DFR) adjustment method was applied to adjust the ordinary least squares (OLS) market risk estimator for the thin trading phenomenon. The study’s findings indicate that exchange rate exposure does affect firm value. Incorporating the DFR market beta in the exchange rate exposure model indicates two important findings. Firstly, there is a significant increase in the number of firms exposed to exchange rate movements, especially in Indonesia, Thailand, Sri Lanka, and Vietnam. Secondly, there are more firms that will be exposed to multi bilateral exchange rate exposure across the sample countries. The findings imply that market characteristics such as thin trading could be an alternative explanation of the exchange rate exposure puzzle. Furthermore, future research should include asymmetric analysis as an alternative explanation for exchange rate exposure.
Influence of piston compressor inner failure on mechanical system objective function

At our department we deal with continuous tuning of torsional oscillating mechanical systems during their operation using pneumatic tuners, mainly in terms of torsional vibrations magnitude, whereby we use the methods and means of technical diagnostics. One of the manners of continuous tuning realization is the application of extremal control know the mathematical model of mechanical system. We must know only that the objective function of mechanical system has an extreme. For that reason, it is very important to know this form of objective function not only at failure-free operation but at failure occurrence as well. The objective of this paper is therefore the investigation of the influence of piston compressor inner failure, namely cylinder(s) fall-out on mechanical system objective function form.
Asian Americans’ Views of their Identities as Asians in Eleanor & Park: A Socio-Psychological Approach

This research analyzes how Asian American characters, Mindy Sheridan, Park Sheridan, and Josh Sheridan, in the novel Eleanor & Park view their identities as Asians. This research aims to understand how Asian American characters view their identities as Asians and what factors influence their views. The analysis of this research was conducted using the social psychology approach supported by Tajfel and Turner’s (2004) social identity theory and Atkinson, Morten, and Sue’s (1998) minority identity development model. This research shows that Asian American characters’ views of their identity as Asian are influenced by the values believed by the dominant group in their social environment.
A multilingual parallel corpus approach to time sufficiency expressions in Scandinavian and English.

Both the Swedish verb hinna and the Norwegian verb rekke have been shown to encode complex sufficiency meanings involving temporal sufficiency and ability (‘have enough time to be able to do sth’) (Johansson & Nordrum, 2016, 2021), but differ in that hinna always encodes temporal meaning while rekke also has spatial meaning. Interestingly, a third Mainland Scandinavian language, Danish, can also encode complex sufficiency meanings, and is similar to Norwegian rekke in having both spatial and temporal meanings. In this paper, featuring a short background and a multimodal presentation, we explore the meaning and use of the three Scandinavian verbs, hinna, rekke, and nå, in the multilingual parallel corpus OPUS2 (available through the Sketch Engine Web based interface) using English as the pivot language (see Tiedemann, 2012). In the spirit of Johansson (2007), the English correspondences of the Scandinavian verbs are used to shed light on semantic distinctions that may be difficult to spot in monolingual data. The multimodal presentation discusses the possibility that the three verbs in the Scandinavian languages are on a path towards grammaticalization, but at different stages in the process, a discussion which is related to an observation in the literature that verbs with ‘reach’ type meanings tend to grammaticalize into modals (see e.g., Bybee et al, 1994).
Continuous monitoring with wearables in multiple sclerosis reveals an association of cardiac autonomic dysfunction with disease severity

Background Dysfunction of the autonomic nervous system is common in multiple sclerosis patients, and probably present years before diagnosis, but its role in the disease is poorly understood. Objectives To study the autonomic nervous system in patients with multiple sclerosis using cardiac autonomic regulation measured with a wearable. Methods In a two-week study, we present a method to standardize the measurement of heart rate variability using a wearable sensor that allows the investigation of circadian trends. Using this method, we investigate the relationship of cardiac autonomic dysfunction with clinical hallmarks and subjective burden of fatigue and autonomic symptoms. Results In 55 patients with multiple sclerosis and 24 healthy age- and gender-matched controls, we assessed the cumulative circadian heart-rate variability trend of two weeks. The trend analysis revealed an effect of inflammation (P = 0.0490, SMD = -0.5466) and progressive neurodegeneration (P = 0.0016, SMD = 1.1491) on cardiac autonomic function. No association with subjective symptoms could be found. Conclusions Trend-based heart rate variability measured with a wearable provides the opportunity for unobtrusive long-term assessment of autonomic functions in patients with multiple sclerosis. It revealed a general dysregulation in patients with multiple sclerosis.
Nanoindentation of a nickel surface with twin boundaries using molecular dynamics simulations

ABSTRACT In this work, nanoindentation on a (110) crystal plane with a spherical indenter and (111) twin boundaries at different distances was simulated using molecular dynamics. In addition, the load–displacement curves and mechanical properties were calculated, and the deformation mechanism of the nickel matrix was analysed using a dislocation extraction algorithm (DXA). The results showed that the load decreased in the load–displacement curve, which was caused by the initial nucleation of the dislocations, and the twinning boundary hindered dislocation propagation. Furthermore, Young’s modulus values near the twin boundary were lower than those farther away, and the maximum shear stress near the twin boundary was lower. Therefore, dislocation activity in the nickel matrix during indentation was mainly in the form of Shockley partial dislocations.