Miracle-dz/UniFAR-FTUs huggingface dataset:
Hydrological and chlorofluoromethane measurements of the Indonesian throughflow entering the Indian Ocean

The Java Australia Dynamic Experiment high-resolution February–March 1992 conductivity-temperature-depth and chlorofluoromethane section obtained between Australia and Bali and on the sills between Flores, Sumba, Sawu, Roti, and the Australian continental shelf allows detailed examination of the water masses distribution and their inferred circulation. A sharp hydrological front between the Indonesian waters and the southern Indian Ocean waters is found between 13°S and 14°S in both seasons (February–March 1992 and August 1989). It separates the high-salinity surface waters to the south from the lower-salinity surface waters derived from the Indonesian Seas to the north. It reaches the surface in February 1992, whereas it was capped by a particularly low salinity surface layer in August 1989. Near Bali, the NW monsoon of February–March produces large intrusions of low-salinity water from the Java Sea, through Lombok Strait in the upper 100 m. At depth, the North Indian Intermediate Water, flowing along the Indonesian coast, brings salty, low-oxygen and low-chlorofluorocarbon water. It enters the Sawu Sea through Sumba Strait toward the east, while it undergoes strong mixing with the Indonesian Seas water. The primary pathway of the Indonesian waters is found north of the front and south of the North Indian Intermediate Water, between 13°S and 9°30′S, and the associated salinity minimum can be followed all across the Indian Ocean.
The most accepted opinions are mindful: based on research evidence from online video comments

From existing research evidence on the positive relationship between mindfulness and self-well-being, I predict that mindfulness has positive effects on interpersonal relationships. This research is focused on providing solid evidence of the positive relationships between mindful opinions and acceptance. The data is based on Bilibili (a website known as the Chinese version of Youtube), including 22,000 comments that are drawn from 11 types of videos, adding up to nearly 270,000 Chinese characters. All of those comments are analyzed one by one through a judging system created by myself. Using the judging system, the research first aims to verify the correction of the hypothesis and then demonstrate detailed connections between mindful opinions and acceptance. (“Main comments” in this paper refer to the comments directly below the video; ”comments ”in this paper refers to the comments of main comments).
Cascaded Control System Design for Quadrotor UAV through Relay with Embedded Integrator-Based Automatic Tuning Approach

Due to their enormous characteristics and applicability, quadrotor unmanned aerial vehicles (UAVs) have enjoyed much popularity lately. However, designing a stable control strategy for quadrotors still remains one of the major concerns mainly due to the requirement of an accurate system model. They are naturally underactuated systems, with complex and nonlinear dynamics as well as interaxes couplings. Considering the dynamical complexities of these vehicles, one of the efficient methods is to utilize the relay feedback experiments and automatic tuning approach to tackle these issues. This paper investigates the employment of the relay with embedded integrator approach, wherein the quadrotor dynamics are estimated effectively with minimal parameters as compared to previously utilized relay with hysteresis technique. Frequency sampling filter (FSF) is further utilized for the extraction of the needful data through the signals obtained using the relay experiments, followed by the estimation of the plant dynamics. PID controllers have then been developed using the approximated quadrotor models. Which are used in the proposed cascade control structure for the quadrotor. The demonstrated results and analysis present the efficacy of designed control system technique for the quadrotor UAV.
A NOTE ON THE USE OF MICROSEISMS IN DETERMINING THE SHALLOW STRUCTURES OF THE EARTH’S CRUST

In the VELA UNIFORM Special Issue I of Geophysics, M. N. Toksoz presented the result of his attempt at determining the shallow structures of the earth’s crust from the phase velocity of microseisms. He stated that his attempt resulted only in partial success on account of the fact that the microseisms arrived from more than one direction at the same time with comparable strength. He also concluded that there was no way of improving the results by the use of special arrays because, according to him, there were two unknown parameters, direction and phase velocity, and without the knowledge of one the other cannot be found. I thought this problem was already solved in my paper (Aki, 1957), in which a statistical theory of determining the phase velocity of random waves was given with a successful application to microseisms in Tokyo in the frequency range of 5 to 15 cps. Since Toksoz’s conclusion might have given a pessimistic view on the use of microseisms, I feel it is necessary to report a brief summary of .
Triggering of seismicity at short timescales following Californian earthquakes

[1] A method for measuring seismicity rate changes caused by the occurrence of major earthquakes in the surrounding crust is proposed. It is based on a nonstationary Poisson modeling of earthquake activity. An estimate of the seismicity rate change and a probability measure of seismicity triggering following a large shock are derived, and the removal of the influence of independent aftershock sequences of other nearby, previous earthquakes is attempted, without using more traditional declustering techniques. The seismicity rate change estimator is corrected for its natural bias in favor of positive changes, at short timescales, that has so far strongly hindered measures of seismicity quiescences. Three Californian earthquakes are examined using this method: the 1989 M7.1 Loma Prieta, the 1992 M7.3 Landers, and the 1994 M6.7 Northridge earthquakes. Positive triggering is very commonly observed, as expected, but quiescence is, however, more seldomly obtained, for timescales up to 100 days after the main shock. This relative absence of quiescence, as compared to typical predictions of Coulomb modeling, for example, is also independently observed through direct correlation analyses of Californian seismicity. The possibility that the stresses caused by the main shock are spatially highly variable may explain these observations.
A Brazilian network of carbon flux stations

First Brasflux Workshop; Santa Maria, Rio Grande do Sul, Brazil, 14–15 November 2011 Last November, 33 researchers participated in a workshop to establish Brasflux, the Brazilian network of carbon flux stations, with the objective of integrating previous efforts and planning for the future. Among the participants were those leading ongoing flux observation projects and others planning to establish flux stations in the near future. International scientists also participated to share the experiences gained with other networks. The need to properly characterize terrestrial ecosystems for their roles in the global carbon, water, and energy budgets has motivated the implementation of hundreds of micrometeorological research sites throughout the world in recent years. The eddy covariance (EC) technique for turbulent flux determination is the preferred method to provide integral information on ecosystematmosphere exchanges. Integrating the observations regionally and globally has proven to be an effective approach to maximizing the usefulness of this technique for carbon cycle studies at multiple scales.
Phytochemicals in Brassica juncea distressing developmental and reproductive biology of mustard aphid (Lipaphis erysimi)

The present study was carried out to decipher the variation in plant phytochemicals, and their effect on developmental, reproduction and survival of Lipaphis erysimi (Kalt.) on diverse Brassica juncea cultivars. These studies revealed significant differences in total nymphal, reproductive and developmental periods, fecundity and offspring survival of L. erysimi on the test B. juncea cultivars. Development period was significantly longer on DRMR 150-35, PM 26, RLC 3 and PM 25, while fecundity and survival were lower on PM 27, RLC 3, NRCHB 101, RH 749, Pusa Tarak, RH 0406 and PM 30, except in a few cases. Total proteins, antioxidants, tannins, phenols and FRAP were significantly higher, and sugars lower in DRMR 150-35, RLC 3, PM 26 and NRCHB 101 as compared to other B. juncea cultivars. Total proteins, total tannins and antioxidants exhibited a significant and positive, while total sugars showed negative correlation, and explained 86.1% variability in total developmental period of L. erysimi. Total sugars revealed a significantly positive and FRAP negative correlation, explaining 35.5% variability in fecundity of L. erysimi. Furthermore, total proteins and total antioxidants also showed significant and negative correlation with offspring survival, and total phenols and antioxidants explained 28.9% variability in offspring survival of L. erysimi on the test B. juncea genotypes. Present study suggests that DRMR 150-35, RLC 3, NRCHB 101 and PM 26 have greater amounts of antinutritional plant defense compounds which adversely affect the developmental and reproductive biology of L. erysimi, and thus could be used in Brassica improvement programme for sustainable crop production.
Vegetation of the Dolines in Mecsek Mountains (South Hungary) in relation to the Local Plant Communities

This paper deals with the forest vegetation of the lower part of the dolines in Mecsek Mts. (South Hungary). In order to char-acterize this vegetation type, samples were compared to the 6 plant communities occurring in the neighbourhood of the dolines. Considering the vegetation texture and species com-position, the vegetation of the dolines resembles mainly the extrazonal beechwoods (Helleboro odori-fagetum) and local ravine forests (Scutellario altissimae-Aceretum) that preserve several mountain, subatlantic relict species in this area. Our study revealed that the plant communities characteristic of the karst surface of Western Mecsek are arranged along a moisture and nutrient gradient. In this system, the habitat conditions of the dolines are similar to those of the beech forests and the lo-cal ravine forests, fresh and relatively rich in nutrients. In the karst, dominated by oak-hornbeam and beech forests, effects of the thermal inversion are the most spectacular where beech forests follow turkey oak-sessile oak forests and oak-hornbeam forests on the lower part of the doline slopes. The described vegetation type of these depressions is developed by edafic fac-tors; its identification as a separate association is not supported by the analyses.
Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages

Abstract Social media messages posted by people during natural disasters often contain important location descriptions, such as the locations of victims. Recent research has shown that many of these location descriptions go beyond simple place names, such as city names and street names, and are difficult to extract using typical named entity recognition (NER) tools. While advanced machine learning models could be trained, they require large labeled training datasets that can be time-consuming and labor-intensive to create. In this work, we propose a method that fuses geo-knowledge of location descriptions and a Generative Pre-trained Transformer (GPT) model, such as ChatGPT and GPT-4. The result is a geo-knowledge-guided GPT model that can accurately extract location descriptions from disaster-related social media messages. Also, only 22 training examples encoding geo-knowledge are used in our method. We conduct experiments to compare this method with nine alternative approaches on a dataset of tweets from Hurricane Harvey. Our method demonstrates an over 40% improvement over typically used NER approaches. The experiment results also show that geo-knowledge is indispensable for guiding the behavior of GPT models. The extracted location descriptions can help disaster responders reach victims more quickly and may even save lives.
Gyres Driven by Combined Wind and Buoyancy Flux

Abstract The combined effects of buoyancy forcing and wind in a gyre-scale steady ocean circulation are modeled using discrete layers with an interfacial flux, not necessarily vertical. The equations for vorticity conservation of the geostrophic flow in this system are fully nonlinear, involving a Jacobian for the layer thicknesses. These equations are written in a form which can be solved by the method of characteristics. The form of these equations invites the interpretation that the geostrophic baroclinic flow is driven by buoyancy and steered by the wind. Two examples are solved and discussed, a subtropical gyre with heating, and a subpolar gyre with cooling. In each case, there are distinct regimes of flow, depending upon whether the characteristics originate at the eastern or western boundaries of the model. A simple geometrical argument illustrates that the difference between these two regimes, the direct and indirect cells, depends upon the sign of the true vertical velocity relative to the interf.
Measurements of lattice thermal conductivity of MgO to core‐mantle boundary pressures

The pressure response of lattice thermal conduction in MgO periclase has been a matter of interest for many decades to estimate the thermal conductivity profile of the lower mantle. Using the pulsed light heating thermoreflectance technique, we measured the lattice thermal diffusivity of MgO at pressures up to 137 GPa at 300 K to determine its lattice thermal conductivity under deep lower mantle conditions. Considering the temperature effect estimated by previous high‐temperature measurements, we calculated the lattice part of the thermal conductivity of MgO to be 17.9 ± 1.1 W/m/K at 135 GPa and 3600 K. Additionally, we observed that the lattice conductivity of MgO has little dependence on its grain size under core‐mantle boundary conditions.
Green Fashion Consumption – a Review of the Literature

The environmentally conscious consumption of fashion products promotes the preservation of natural ecosystems for current and future generations. It may include the purchasing and use of textile products made from organic and sustainable materials, the repair, reuse and recycling of textile products, and the concept of slow fashion. The environmental aspects of fashion products have drawn the attention of both researchers and practitioners in recent years. As a result, many scientific papers have accumulated regarding this vital aspect of consumer behaviour. This paper aims to provide an overview of the literature regarding consumer behaviour toward green fashion products, as well as to uncover and categorise significant driving factors, and in addition, identify the most critical barriers. After identifying the relevant literature, the study examines 104 articles published between 2011 to 2021 in high-quality, peer-reviewed scholarly journals. Our results demonstrate that while most of the reviewed articles employ a quantitative survey questionnaire method to identify the drivers of green textile consumption, qualitative approaches are also used. Most authors utilise the theory of planned behaviour as a foundation of their research. This paper summarises the research problems covered by the selected articles, the theoretical frameworks, the methods used, and their essential findings. We also outline existing research gaps and suggest potential directions for future research. Since there are only a few review articles on green fashion consumption, our article provides an important new addition to the literature for the reference of future scholars.
Risk factors for pancreatitis occurrence after gallstone treatment using endoscopic retrograde cholangiopancreatography

Background Patients with gallstones are prone to pancreatitis after treatment using endoscopic retrograde cholangiopancreatography (ERCP). The aim of this study was to explore the risk factors for pancreatitis occurrence after gallstone treatment using ERCP. Methods A total of 193 patients treated from October 2017 to October 2020 were assigned into pancreatitis group (n=55) and non-pancreatitis group (n=138). Multivariate logistic regression analysis was utilized to analyse the risk factors for post-ERCP pancreatitis. The discrimination and accuracy of an established nomogram model were evaluated using receiver operating characteristic and calibration curves, respectively. Results The incidence rate of pancreatitis was 28.50% (55/193). Young age, long course of disease, gallbladder wall thickness >3 mm, sand-like stones, history of pancreatic disease, number of intubation ≥2 and absence of pancreatic duct stenting were risk factors for post-ERCP pancreatitis (P<0.05). The established model had high discrimination and accuracy. The incidence rates of pancreatitis in patients with and without pancreatic duct stenting were 11.84% (9/76) and 39.31% (46/117), respectively. The patients undergoing pancreatic duct stenting had lower serum amylase levels 6, 12 and 24 h after ERCP than those of patients who did not. Conclusion Patients with gallstones have a higher risk of developing pancreatitis. Young age, long course of disease, gallbladder wall thickness >3 mm, sand-like stones, history of pancreatic disease, pancreatic duct visualization and number of intubation ≥2 are risk factors for post-ERCP pancreatitis.
Comprehensive Geophysical Research on the Deep Structure of Northeastern South China Sea

The complex crustal structure of northeastern South China Sea and neighboring areas, especially the structure of the land-sea transition zone, has been a hot subject of the lithospheric structure research of South China Sea. In this paper we construct the density model along two profiles based on gravity data and constraints from Pn wave tomography and deep seismic sounding. The result of 2.5D density modeling supports the point of view that a high velocity layer exists in the lower crust of the area from Qiongyue Uplift to Luzon island arc; and the fitting result to the Taixinan Basin indicates that the crust in the southern depressed region should belong to the transitional type. Although the tectonic feature of the northeastern shelf of South China Sea is generally of volcanic type, the structures of profile AA' and BB' are different, which indicates the lateral variation and the complexity of crustal structure in the northeastern margin of South China Sea.
Biologically plausible local synaptic learning rules robustly implement deep supervised learning

In deep neural networks, representational learning in the middle layer is essential for achieving efficient learning. However, the currently prevailing backpropagation learning rules (BP) are not necessarily biologically plausible and cannot be implemented in the brain in their current form. Therefore, to elucidate the learning rules used by the brain, it is critical to establish biologically plausible learning rules for practical memory tasks. For example, learning rules that result in a learning performance worse than that of animals observed in experimental studies may not be computations used in real brains and should be ruled out. Using numerical simulations, we developed biologically plausible learning rules to solve a task that replicates a laboratory experiment where mice learned to predict the correct reward amount. Although the extreme learning machine (ELM) and weight perturbation (WP) learning rules performed worse than the mice, the feedback alignment (FA) rule achieved a performance equal to that of BP. To obtain a more biologically plausible model, we developed a variant of FA, FA_Ex-100%, which implements direct dopamine inputs that provide error signals locally in the layer of focus, as found in the mouse entorhinal cortex. The performance of FA_Ex-100% was comparable to that of conventional BP. Finally, we tested whether FA_Ex-100% was robust against rule perturbations and biologically inevitable noise. FA_Ex-100% worked even when subjected to perturbations, presumably because it could calibrate the correct prediction error (e.g., dopaminergic signals) in the next step as a teaching signal if the perturbation created a deviation. These results suggest that simplified and biologically plausible learning rules, such as FA_Ex-100%, can robustly facilitate deep supervised learning when the error signal, possibly conveyed by dopaminergic neurons, is accurate.
Study on the effect of electric pulse treatment for disinfestation of vegetables

This paper describes a method of using pulsed discharge to control nematode diseases on tomato and cucumber rhizomes and crops grown in dacha plots. When pulsed discharges are applied to living tissue, certain chemical, physical, and biological processes occur, depending on the pulse energy, pulse discharge current, pulse discharge voltage, pulse discharge exposure time, pulse discharge impact current, and other similar factors. Electric pulses were applied to grafts of nematode-infested vegetables, tomatoes and cucumbers, to measure grafting ability. Crop yields were estimated by the total amount of produce grown on arable land, and the level of yield enhancement was determined by land sedimentation and proper placement of varieties and plant species. Proper selection of modern high-yielding varieties imported from Uzbekistan provides resistance to external adverse effects of nature and diseases. The creation of high-yielding varieties requires the discovery and cultivation of resistant hybrid varieties and the development and introduction of new progressive technological methods of plant cultivation. The objective of this study was to identify the main factors affecting the electric pulse discharge treatment of tomato and cucumber root crops infected with nematodes and their larvae. Various diseases occur in cotton, cereals, melons, vegetable crops, and indoors(greenhouses) on newly established farms in the Republic. Yields are particularly high in vegetable, melon, and greenhouse fields. In recent years, the impact of nematodes on plants has caused severe damage to crop yields. Treating crops with this formulation prevents nematode infestation of leaf veins. The economic damage caused by nematodes to agriculture is enormous. For example, in greenhouse vegetables (cucumbers and tomatoes) this indicator reaches 60% and in potatoes 80%. Therefore, the proposed method is realized in combination with an agrotechnical treatment process that is energy-saving, environmentally safe, and productive.