Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of groundwater potential using vertical electrical sounding (VES) method in Kageshwori-Manohara Municipality, Kathmandu, Nepal

Vertical Electrical Soundings (VES) survey was carried out around the Kageshwori Manohara Municipality of Kathmandu District, Nepal to delineate groundwater potential zone to make a strategy for water resource management and explore groundwater for a municipal purpose. RESISTIVITY meter of GD-10 manufactured by Geomative, China was used for data acquisition. Schlumberger array configuration with maximum current electrode spacing ranging from 400 to 900 mete depending upon the availability of space was used for data acquisition and acquired data were analyzed and interpreted using the master curve and IPI2WIN software. Resistivity Data were correlated with available lithologs. The simulated results of the 10 VES points reveal the presence of 7 to 11 geoelectric layers. Survey locations scatter from valley floor to mountainous region and geologically valley floor contains alluvial deposits and mountainous region contains micaceous gneiss reached Sheopuri Gneiss. Coarser grained materials like sand and gravel are encountered in the surveyed locations. The resistivity values of the different layers’ ranges from 21 Ωm steaky clay to 7141 in boulder mixed gravel. All locations are feasible for groundwater exploration. Groundwater extraction from the deep aquifer is necessary for most of the locations. Geological, hydrogeological and geophysical study shows that the surveyed locations and adjacent area are high groundwater potential zone and are feasible for groundwater exploration work.
Opercular girth, maximum girth and total length relationships for eight fish species from the Saros Bay (northern Aegean Sea, Turkey)

This study was carried out to uncover the relationship between opercular girth (G ope ), maximum girth (G max ) and total length (TL) for eight fish species [( Sardina pilchardus (Walbaum, 1792) , Sardinella aurita (Valenciennes, 1847) , Serranus cabrilla (Linnaeus, 1758) , Serranus scriba (Linnaeus, 1758) , Symphodus mediterraneus (Linnaeus, 1758) , Symphodus tinca (Linnaeus, 1758), Trachurus mediterraneus (Steindachner, 1868), and Trachurus trachurus (Linnaeus, 1758)] from four families (Carangidae, Clupeidae, Labridae, and Serranidae) sampled between August 2016 and December 2017 in Saros Bay (Northern Aegean Sea, Turkey). G ope and G max were found to increase linearly with the total length for all the species. All r 2 values were statistically significant ( r 2 > 0.83, P < 0 . 001). The values about length-girth relationships (LGRs) of S. mediterraneus were estimated for the first time worldwide. This information will contribute to the development of ecosystem-based fisheries management.
Poisson-Nernst-Planck models for three ion species: Monotonic proﬁles vs. oscillatory proﬁles

We consider ionic ﬂows through an ion channel via a quasi-one-dimensional classical Poisson-Nernst-Planck model. The speciﬁc biological setup involves ionic solutions with three ion species and the permanent charge is set to be zero. It is known that, for ionic ﬂows with two ion species, the spatial proﬁles of the electric potential and the ion concentrations are monotonic, independent of boundary conditions. For ionic ﬂows with three or more ion species with at least three diﬀerent valences, depending on the boundary conditions, the proﬁles could be oscillatory. In this work, for ionic mixtures with two cation species of diﬀerent valences and one anion species, we will provide a complete classiﬁca-tion in terms of boundary conditions on when the proﬁles are monotonic and when they are oscillatory. This would be an important step for studies including nonzero permanent charges.
Effect of Heat Flux on Distribution of Vapour Volume Fraction and Bubble Size Distribution at Flow Boiling in Horizontal Annulus

Subcooled flow boiling was investigated in a horizontally placed annular test section. The installed experiment is a part of the laboratory THELMA (Thermal Hydraulics experimental Laboratory for Multiphase Applications) built at Reactor Engineering Division of Jožef Stefan Institute. The annular test section is constructed as a double-pipe heat exchanger, where the heat is transferred from the heating water flowing inside the inner copper pipe to the working fluid flowing through the annular gap between the inner pipe and outer transparent pipe that enables visualization of the boiling flow. Refrigerant R245fa is used as a working fluid as it boils at lower temperatures and lower pressures than water. The main objective of this study is to investigate the effect of heat flux variation on the boiling flow patterns at approximately constant inlet flow conditions of the working fluid (fixed mass flux and inlet fluid temperature). The variation of heat flux was controlled by changing the mass flux of the heating water flow. Subcooled flow boiling of R245fa was recorded by a high-speed camera and images of the boiling flow were analysed using the image processing to determine the bubble size distributions. The experimental setup, analysis methods and measurement results are presented and discussed.
A Systematic Evaluation of Solutions for the Final 100m Challenge of Highly Automated Vehicles

Automated vehicles will change the interaction with the user drastically. While freeing the user of the driving task for most of the journey, the "final 100 meters problem'', directing the vehicle to the final parking spot, could require human intervention. Therefore, we present a classification of interaction concepts for automated vehicles based on modality and interaction mode. In a subsequent Virtual Reality study (N=16), we evaluated sixteen interaction concepts. We found that the medially abstracted interaction mode was consistently rated most usable over all modalities (joystick, speech, gaze, gesture, and tablet). While the steering wheel was still preferred, our findings indicate that other interaction concepts are usable if the steering wheel were unavailable.
Ground state in Sr 3 Ru 2 O 7 : Fermi liquid close to a ferromagnetic instability

We show that single-crystalline ${\mathrm{Sr}}_{3}{\mathrm{Ru}}_{2}{\mathrm{O}}_{7}$ grown by a floating-zone technique is an isotropic paramagnet and a quasi-two-dimensional metal, as spin-triplet superconducting ${\mathrm{Sr}}_{2}{\mathrm{RuO}}_{4}$ is. The ground state is a Fermi liquid with very low residual resistivity $(\ensuremath{\approx}3 \ensuremath{\mu}\ensuremath{\Omega}\mathrm{cm}$ for in-plane currents) and a nearly ferromagnetic metal with the largest Wilson ratio ${R}_{\mathrm{W}}g~10$ among paramagnets so far. This contrasts with the ferromagnetic order at ${T}_{\mathrm{c}}=104 \mathrm{K}$ reported on single crystals grown by a flux method [Cao et al., Phys. Rev. B 55, R672 (1997)]. However, we have found a dramatic changeover from paramagnetism to ferromagnetism under applied pressure. This suggests the existence of a substantial ferromagnetic instability in the Fermi-liquid state.
Application of Data Mining in Optimizing Kindergarten Curriculum under the Background of Big Data

: With the development of educational informationization, the educational data of each school is increasing day by day. How to make rational use of the existing information to make scientific teaching decisions is a problem that every educator is closely concerned about. This paper mainly studies the application of data mining in optimizing kindergarten curriculum setting. This paper optimizes the physical intelligence course in kindergarten and forms a set of teaching mode integrating physical ability, intelligence and human ability organically. In order to test the scientific nature, operability and effectiveness of the teaching model, this study used the action research method to test the optimization results, and selected the experimental class and the control class for independent sample t test. The results show that there are significant differences in intelligence and human ability between the experimental class and the control class, and the children in the experimental class have improved significantly in these two aspects.
STUDENTS’ STRATEGIES IN TRANSLATING ENGLISH TEXT INTO INDONESIA LANGUAGE

Translation process requires the right translation strategy. Students who are not able to choose a good strategy will produce less quality of translation results. This research explores translation strategies applied by students when translating English narrative texts into Indonesia language. 25 students of the English language education program who participated in translation course were asked to translate English narrative texts into Indonesia language. Five articles of the translation results were selected as data to be analyzed. The data showed that literal translation strategies are still dominated. However, most of the texts were translated well. Grammatical errors only occur in noun phrases and adjectives where the grammatical pattern still applied the pattern of Indonesia language.
Ambulatory Oncology Nurses Weigh in About 12-Hour Shifts

BACKGROUND Studies conducted in hospital settings have associated negative clinical outcomes with 12-hour shifts. Despite this, 12-hour shifts are common in nursing and popular among nurses. Little is known about outcomes associated with 12-hour shifts in ambulatory care settings. OBJECTIVE A mixed-methods, quality improvement project was conducted in a large, ambulatory cancer center to evaluate oncology nursing staff perspectives on 12-hour shift work. METHODS One hundred ambulatory oncology nurses completed surveys and 11 participated in focus group interviews. FINDINGS Nurses expressed predominately positive perspectives about 12-hour shift work in ambulatory oncology care. CONCLUSIONS Ambulatory oncology nurses perceived benefits to quality, safety, and satisfaction for both nurses and patients related to 12-hour shifts. Further evaluation of patient, nurse, and organizational outcomes unique to ambulatory settings is essential for nurse executives in formulating data-driven staffing plans. The incorporation of 12-hour shifts should be considered.
Optimal Cluster-Based Data Aggregation in WSN for Healthcare Application

Healthcare is one of the most important and rapidly growing application areas for WSNs. This is driven by the motivation to improve the healthcare industry’s accuracy and efficiency. The WSN brings a number of significant improvements to healthcare, but, as it is deployed in an exposed environment, it is the weakest link that needs the most protection. Due to limitations in communication such as power, storage and the computational capabilities of sensors, data aggregation techniques are used to reduce the communication overhead in real-time data transmission, maximizing the network lifetime, energy conservation measures are essential for improving the performance of WSNs. In this paper energy consumption issue by designing systems optimal cluster-based data aggregation is proposed. Data aggregation is an effectual approach for wireless sensor networks (WSNs) to save energy and prolong network lifetime. Also, Cluster-based data aggregation algorithms are most popular because they have the advantages of high flexibility and reliability. The efficient clustering is performing by the glow-worm swarm optimization. After clustering it is important to select the CH among multiple nodes in the cluster, which act as data aggregation node. The experimental results are analyzed with existing algorithms to show the proposed system OCDA is more effective compared to SPPDA system.
Recommendations for Physical Activity in Asthma: A Work Group Report of the AAAAI Sports, Exercise, and Fitness Committee

AAAAI Position Statements, Work Group Reports, and Systematic Reviews are not to be considered to re ﬂ ect current AAAAI standards or policy after ﬁ ve years from the date of publication. The statement below is not to be construed as dictating an exclusive course of action nor is it intended to replace the medical judgment of healthcare professionals. The unique circumstances of individual patients and environments are to be taken into account in any diagnosis and treatment plan. The statement re ﬂ ects clinical and scienti ﬁ c advances as of the date of publication and is subject to change. and older adults, are considered individually. In addition, this report offers practical recommendations for clinicians, including how to identify and overcome barriers to counseling, and methods to incorporate physical activity counseling into asthma treatment practice. (cid:1) 2021 American Academy of Allergy, Asthma & Immunology (J Allergy Clin Immunol Pract 2022;10:433-43)
Smart Money: The Effect of Education, Cognitive Ability, and Financial Literacy on Financial Market Participation

Household nancial market participation a¤ects asset prices and household welfare. Yet, our understanding of the participation decision is limited. Using an instrumental variables strategy and dataset new to this literature, we provide the rst precise, causal estimates of the e¤ects of education on nancial market participation. We nd a large e¤ect, even controlling for income. Examining mechanisms, we demonstrate that cognitive ability increases participation; however, and in contrast to previous research, nancial literacy education does not a¤ect decisions. We conclude by discussing how education may a¤ect decision-making through: personality, borrowing behavior, discount rates, risk-aversion, and the inuence of employers and neighbors. Harvard Business School (scole@hbs.edu), and University of Virginia (shastry@virginia.edu), respectively. We thank the editor, associate editor, two referees, and Josh Angrist, Malcolm Baker, Daniel Bergstresser, Carol Bertaut, David Cutler, Robin Greenwood, Campbell Harvey, Caroline Hoxby, Michael Kremer, Annamaria Lusardi, Erik Sta¤ord, Jeremy Tobacman, Petia Topalova, Peter Tufano, and workshop participants at Harvard, the Federal Reserve Board of Governors, the University of Virginia and the Boston Federal Reserve for comments and suggestions.
Interpreting Neural Network Classiﬁcations with Variational Dropout Saliency Maps

Deep neural networks are effective at classiﬁcation across many domains, but they are also opaque in the sense of being seen as “black boxes” even when the training data and model architecture are available. Saliency maps are a tool for interpreting neural network classiﬁcation that, given a particular input example and output class, score the relevance of each input dimension to the resulting classiﬁcation. Recent work deﬁned salient inputs as those yielding the greatest change in the classiﬁcation output when replaced with some reference value; this value is chosen heuristically (e.g., background color, Gaussian noise, or blurred version of the input) and thus biases the saliency computation. We generalize this approach by extending the notions of ‘replacement’ and ‘reference’: ﬁrst we cast the input replacement in a dropout framework and use variational inference to learn a distribution over dropped-out (replaced) inputs from the data; then we express the reference value as the output of a generative model, which can be learned from data to mitigate the effect of the reference value biasing the saliency map. We then propose a new model-agnostic saliency map that uses both extensions in tandem. We show the resulting saliency maps for a digit classiﬁcation network pre-trained on MNIST and compare our results against other methods both qualitatively and quantitatively.
Effect of branch level and leaf pruning in vegetative growth, yield and quality of guava: A review

Pruning is a technique in which undesirable parts of a plant are removed judiciously to achieve the desired purpose. It is practiced on shoots, leaves, as well as on roots. Guava comes under the category of crops that bear on current season shoots; hence responds well to pruning. The major purpose of pruning in guava is to reduce the fruit set during the rainy season, which is of inferior quality to enhance the production during the winter season. The Winter season crop in guava is superior in terms of fruit size, quality, shelf life, and organoleptic values. Pruning also helps in the transformation of unproductive trees into productive ones, especially in guava plantations. Pruning at different intensities done at particular timings has shown different effects on the vegetative growth, flowering, yield, as well as quality parameters of the crop. The pruning requirement in fruit plants is crop-specific, and it depends on growth behavior, therefore, standardization of pruning is essential for improving these parameters under given environmental conditions. Moreover, the adoption of judicious pruning intensities and timings can augment the production of high-density planting in guava. Therefore, different techniques of pruning have involved the attention of many researchers to find some optimistic approaches. In this review, we have tried to compile the previous research findings in a precise way to address the problem.
A DECOMPOSITION APPROACH FOR SCHEDULING OF ELECTRIC VEHICLE CHARGING UNDER PREEMPTIVE CHARGING SCHEME

In this paper, we deal with electric vehicle (EV) charging scheduling problem from the aggregator perspective. In particular, we solve the problem of an aggregator optimizing charging schedules of EVs with the objective of minimizing the charging cost. Moreover, we formulate the problem under the preemptive charging scheme in which interruptions are allowed during the charging process to increase charging (cid:13)exibility. To solve the resulting optimization problem, we propose a decomposition approach based on column generation technique. Our computational experiments show that our approach performs well to the extent that it can be used in practice to solve large-scale instances.
CFD Analysis and Visualization of the Two Phase Flow in a Thermosyphon for a Passive Heat Removal System of a Nuclear Power Plant

Fukushima accidents emphasized the requirement of passive safety system for reactor. Especially, when accidents such as station black out (SBO) occur, the passive safety system which can ensure the safety of reactor is needed. A thermosyphon, wickless heat pipe, is a heat transfer device of high thermal conductance that functions passively on the principle of evaporation and condensation of a working fluid [1]. The heat-pipe concept was first proposed by Gaugler in 1942 [2]. After its independent invention by Grover [3] in the early 1960s, serious development progress was made, and the heat pipe concept was studied intensively for both space and terrestrial applications, because of its beneficial characteristics. Recently, as regards station black-out (SBO) scenarios due to beyond design-basis accidents (BDBA) in nuclear power plants, heat pipes have been recognized as alternative heat-removal devices for use in the passive safety system [4,5]. As the requirement of applications to such systems with large scale increases, importance of exact simulation model of heat pipe also increases. However, only few studies for heat pipe and thermosyphon simulation have been made. Joudi and Al_Tabbakh [6] tried to analyze thermal characteristics of thermosyphon using mathematical modeling. Zhang et al. [7] studied two dimensional thermal and mass flux of disc type thermosyphon. Alizadhdakhel et al. [8] provided CFD modelling and experimental measurement of thermosyphon. Using VOF method, they investigated the effect of filling ratio to thermal performance of thermosyphon. Annamalai and Ramalingam [9] developed a CFD modeling for wick part of heat pipe using commercial code, ANSYS CFX. Khurram Kafeel [10] numerically studied thermal hydraulic characteristics of thermosyphon in both transient and steady state. Bandar Fadhl et al. [11] built a CFD modeling for boiling and condensing of thermosyphon using VOF method of ANSYS Fluent. They made user defined function (UDF) to define source term based on Lee model [12, 13]. In this study, CFD model of 1m-thermosyphon has been studied using VOF model. Unlike formal studies, vacuum pressure condition was applied because thermosyphon with vacuum inner pressure is much generally used. Furthermore, to check out hydraulic characteristics of the model, transparent thermosyphon experiment also has been conducted. Thermal characteristics of the model has been checked by empirical measurement of thermosyphon experiment in same boundary condition.
Brain Computer Interfaces: A New Existential Risk Factor

This paper identifies a new existential risk factor that has not been recognised in prior literature: Brain-Computer Interfaces (BCIs). We illustrate how BCI technology could significantly raise the existential risk from global totalitarianism in the near future. In particular this is achieved not just by expansion of surveillance, but the expansion of brain stimulation. At present, this risk factor has been entirely unnoticed. We suggest that given the high likelihood of its impact, and the possible magnitude of such an impact, it deserves more attention, more research, and more discussion
TESTING THE INFLUENCE OF CYP83A1, CYP79F1, AND CYP79F2 IN AUXIN ACCUMULATION AND LATERAL ROOT INITIATION IN ARABIDOPSIS THALIANA

The role of CYP83A1, CYP79F1, and CYP79F2 in auxin accumulation and lateral root initiation in Arabidopsis thaliana was explored. These enzymes are at branch points between auxin synthesis and synthesis of plant defense compounds, found in nearly all plants of the order Brassicales, known as glucosinolates: our hypothesis was to test whether these enzymes functioned with XIP1/CEPR1 to control auxin levels or perform some other unknown function. Two lines of knockout or null mutants for each gene were obtained to cross into a line homozygous for a semi-quantitative auxin reporter (R2D2), a null mutation of an auxin biosynthetic enzyme (NIT1), and a receptor that acts in nitrogen foraging and interacts with NIT1 (CEPR1). The genotypes of the CYP83A1 and CYP79F1 knockout lines were confirmed. Both CYP83A1 knockout lines were successfully crossed into the R2D2 line. One of the CYP83A1 lines, ref2-1 , was crossed into all the relevant mutants, selfed for three generations and plants homozygous for ref2-1 , xip1-1, and R2D2 were isolated; these plants are heterozygous for nit1-1 .
PERFORMANCE ANALYSIS OF WEB SEARCH ENGINE USING JMETER

: The Performance of Web Applications is varying according to the locations of server as well as internet capability at client side. But for a common user which has normal Internet capability but still some Web Application took more time in loading when compare. The most popular Search Engines are Google, Yahoo, and Bing; these search engines always try to attract audience form the world with different services. This research tried to test performance as well as analyze the loading capability of the server when large amount of users request for the same page. This testing and analysis is done using Apache’s Load Testing Tool: JMeter, which give multiple options to judge performance using different parameters. The test plan is configured using HTTP Request Default whereas sampler is chosen named HTTP Request to handle client request for required service. The results obtained are aggregated to compile final result to value the performance of Web Search Engine.