Miracle-dz/UniFAR-FTUs huggingface dataset:
Cloud species classification from video recordings

Large data bank of images has been accumulated during atmospheric cloudinessground-based observations from 2017 to 2020 near Fryazino city, Moscow Region. The problemof obtained images classification into several types is considered. The types are clear sky (noclouds); cumulus cloudiness of various extent (humilis, mediocris, congestus); very powerfulclouds such as cumulonimbus or nimbostratus; stratus cloud cover; stratocumulus clouds; lightand high-positioned clouds (altocumulus, cirrus, cirrostratus and cirrocumulus). A qualitativeanalysis of the key features of gray, blue, green and red level co-occurrence matrices for variouspixel distances and directions (angles) is performed to solve the problem. An image classification algorithm based on these and other key features retrieved during image preprocessingis developed. The quality evaluation is performed. The developed software tool is currentlysuccessfully used for atmospheric radiometry problems support.
Exploration of Comparative Concepts in the Ethnomathematics of The Buton Traditional House

The Buton community has practiced mathematical culture in the form of a Buton traditional house called banua tadha (right house). The purpose of this study was to explore the comparative concepts in the ethnomathematics of the Buton traditional house. This research is qualitative research with an ethnographic approach. The results of this study indicate that every Buton traditional house contains several comparative concepts in the ethnomathematical: (1) the width of the door and the width of the stairs, (2) the walls of the house and the tutumbu, (3) the width of the house and tutumbu, (4) wall and pillar heights, (5) the height of the bhate and the length of the limana bathe, (6) the height of the front wall to the height of the side walls, (7) the width of the stair post with the size of the rungs of the stairs, and (8) wall height and house pole height, and (9) the shape of a right triangle formed by a crutch (konta), a pole (ariy), and a buffer (tadha). These comparisons can be used in learning mathematics to pass on the ethnomathematical local wisdom of the Buton traditional house.
Sulphate removal technologies for the treatment of mine-impacted water

Mine-impacted water, including acid mine drainage (AMD), is a global problem. While precipitation of dissolved metals and neutralization of acidity from mine-impacted water is accomplished relatively easily with lime addition, removal of sulphate to permissible discharge limits is challenging. This paper presents a high-level comparison of four sulphate removal technologies, namely reverse osmosis, ettringite precipitation, barium carbonate addition, and biological sulphate reduction. Primarily operating costs, based on reagent and utility consumptions, are compared. Each process is shown to be subject to a unique set of constraints which might favour one over another for a specific combination of location and AMD composition. Access to and cost of reagents would be a key cost component to any of the processes studied. The total cost calculated for each process also depends on the type of effluents that are allowed to be discharged.
A Review of IR Transmitting, Hollow Waveguides

Infrared (IR) transmitting hollow waveguides are an attractive alternative to solid-core IR fibers. Hollow guides are made from plastic, metal, or glass tubes that have highly reflective coatings deposited on the inside surface. These guides have losses as low as 0.1 dB / m at 10.6 μm and may be bent to radii less than 5 cm. For use in high-power laser delivery applications, the guides have been shown to be capable of transmitting up to 3 kW of CO 2 laser power. They are also finding uses in both temperature and chemical fiber sensor applications. This paper reviews the progress in hollow waveguide technology with emphasis on the best guides available today.
Seemingly Unrelated Regression Spatial Autoregressive Bayesian Modeling on Heteroscedasticity Case

The phenomenon encountered occasionally on complications involving spatial data, is that there is a tendency of heteroscedasticity since every region has distinct characteristics. Thus, it requires the approach which is more appropriate with the problem by using the Bayesian method. Bayesian method on spatial autoregressive model to contend the heteroscedasticity by applying prior distribution on variance parameter of error. To detect heteroscedasticity, it is shown from several responses correlating with the predictors. The method abled to estimate some responses is Seemingly Unrelated Regression (SUR). SUR is an econometrics model that used to be being utilized in solving some regression equations in which of them has their own parameter and appears to be uncorrelated. However, by correlation of error in differential equations, the correlation would occur among them. With the condition of the Bayesian SUR spatial autoregressive model, it is able to overcome heteroscedasticity cases from the vision of spatial. Further, the model involves four kinds of parameter priors’ distributions estimated by using the process of MCMC.
AIRCRAFT NOISE AND METHODS FOR THE STUDY OF COMMUNITY HEALTH AND WELL-BEING

Aircraft noise potentially disturbs (or annoys) the daily activities (such as communication and relaxation) of residents living in the vicinity of airports. This particular type of annoyance undermines quality of life and can be a cause of stress. Evidence is emerging that appears to associate some forms of health risk with this stress. This research aims at developing a better understanding of the impacts of aircraft noise on community health and well-being. This paper presents the results of exploratory data analysis from a pilot survey and a social survey of 704 residents' responses (47% response rate) in Sydney that include people living close to the airport and a matched control group (not affected by aircraft noise). The paper also describes the development of a new noise metric, which has been termed the Noise Gap Index (NGI), to incorporate other background environmental noise and to describe and assess the impacts of aircraft noise on the health and well-being of residents.
Fault-related impulsive component detection for vibration-based diagnostics in the presence of random impulsive noise

In this paper, the authors propose the methodology for vibration-based diagnostics towards local damage detection in rolling element bearings in the presence of non-Gaussian noise. In real-life cases, the main problem making the analysis difficult is the non-Gaussianity of the high-energy noise present in the operational environment. Because of this fact, popular impulsiveness-related detection techniques cannot be used. In the presented article, a real-life data measured in an industrial scenario will be presented and a proposition of an approach to cyclic component extraction will be discussed. The proposed approach takes advantage of the Cyclic Spectral Coherence (CSC) map as multidimensional data representation. It can be very useful for indicating cyclic modulated components in the otherwise non-cyclic signal content. However, due to the limitations of statistics used in CSC map calculation impacting the quality of CSC map in the presence of non-cyclic impulsive behavior in the signal, Nonnegative Matrix Factorization idea is used as a method for component separation. The presented method allows for obtaining carrier-related and modulation-related features of the component of interest. The main advantage of the presented method is pairing very useful multidimensional data representation (CSC) with very potent decomposition technique (NMF), that allows to reconstruct separated components in the final stage of the analysis. As a consequence, the time series of the component can be reconstructed based on the carrier feature.
Fabrication of thin vertical mirrors through plasma etch and KOH:IPA polishing for integration into MEMS electrostatic actuators

We developed a process for the fabrication of thin vertical mirrors as integrated structures of MEMS electrostatic actuators. The mirrors can be implemented as a vertical extension of the actuator sidewall, or can be positioned at any movable part of the actuator. The process involves the fabrication of a mesa structure on the handle layer of a silicon-oninsulator (SOI) wafer through deep reactive ion etching (DRIE). The etch/passivation cycles of the DRIE process were optimized to achieve vertical etch profiles with a depth of up to 200 μm with an aspect ratio of 10:1. The DRIE process introduced typical etch scallops with peak-to-valley and rms roughnesses on the order of 100 nm and 30 nm, respectively. A mask layer was used to pattern a 2.1 μm sacrificial oxide layer for the mesa structure. A second mask layer allowed us to define a large etch cavity for handle layer back-etch. The DRIE etched mesa structure was then etched with diluted potassium hydroxide (KOH) in isopropyl alcohol (IPA). Temperature and etch concentration were optimized for the removal of etch scallops without the formation of ⟨111⟩ etch facets. The etch scallops were almost completely removed and mirror quality surfaces were achieved. The developed mesa structures are suitable for integration into actuators that are patterned in the device layer. A third masking layer, aligned through infrared camera, was used to position the thin vertical mirror at the actuator sidewall. The process provides design flexibility in integrating vertical mirrors of adjustable dimensions to movable elements of MEMS structures.
Blockchain Traceability to Ensure the Veracity of Diplomas

Higher education institutions are considered one of the most important pillars and the greatest starting points from which the wheels of development and civilized advancement are launched, as well as their important role in instilling the values of society and preserving its moral and value system. In performing the role entrusted to it in achieving sustainable development and the comprehensive renaissance of society in various field and sectors. Thus; the accreditation systems are frequently used to verify which institutions are recognized and authorized to giveeducational or professional skills. However, these systems are not always efficient in countries where recognized higher education establishments cannot rally the demand for certified professionals required by the employment market. This generates a fertile argument for the “certificate factories” to sell false diplomas to unskilled people who are trying to catchbenefit of this deficit. In this regard, the digitization of diploma granting’s and verification’s processes, is becomingincreasingly important in order to guarantee the identity of diplomas, and that companies recruit the right qualified people. For that reason, an efficient management system for the control of diploma creation processes is immediatelymandatory. The Blockchain methodology provides efficient ways to examine the data information management systems. It is designed to make confidence techniques that can revolutionize information management methods. The major purpose of this paper is to develop a “BlockDipls” system based on Blockchain technology. This BlockDipls system is planned to support diploma traceability and smart contract functions, and can be used to address the problems of diploma falsification and diploma record fraud.
GENDER DIFFERENCES IN TERMS OF TEST ANXIETY AND ATTITUDE TOWARDS SCIENCE

This study was conducted to evaluate gender differences in terms of test anxiety and attitude towards science. Test Anxiety Inventory was used to measure test anxiety of the science students while Test of Science-Related Attitudes was used to measure their attitude. Both the instruments were administered on 1,885 secondary school science students in the Punjab province of Pakistan. ANOVA was used to find the gender differences. For the strength of ANOVA, Eta square values were also included. The results of the study indicated that females had higher test anxiety and more positive attitude towards science than males.
Assessing the Impact of Bicycle Infrastructure Treatment Type on the Frequency of Right-Hook Conflicts Between Bicyclists and Motorized Vehicles at Signalized Intersections

Bicycle infrastructure treatments are implemented to enhance bicyclist mobility and safety. However, crashes between motorized vehicles and bicycles still occur at locations where these treatments are present, indicating the need to further investigate their safety impact. This paper aims to assess the impact of three segment-level bicycle treatments, namely: (1) conventional bike lanes, (2) protected bike lanes, and (3) sharrows (i.e., shared vehicle-bicycle traffic lanes) and two intersection-level bicycle treatments, namely (1) intersection crossing markings and (2) bike boxes, on right-hook conflicts, which is a common unsafe interaction between right-turning vehicles and through—bicycle at signalized intersections. Video data were collected from ten intersections in Boston, Cambridge, and Somerville, Massachusetts. Video recordings were processed to identify interactions between right-turning vehicles and through bicycles that corresponded to a Post Encroachment Time (PET) of less or equal to four seconds. Poisson models Preprint submitted to Proceedings of ICSC 2021 June 14, 2021 were developed to relate the number of traffic conflicts with the number of right-turning vehicles, through bicycles, and the treatment type. However, the latter was not found to affect conflict frequency. Further analysis of the PET thresholds showed that there is a significant difference in the recorded PET values depending on the user sequence in the conflict area. Specifically, when a motorized vehicle was followed by a bicycle, PETs of 1 second were more frequent compared to when a bicycle was followed by a motorized vehicle. This observation suggests that different thresholds for bicycle-leading or bicycle-following PETs may be considered to account to advance conflictbased bicycle safety approaches. The outcome of this research can inform practitioners on the selection of appropriate bicycle treatments and other countermeasures for improving intersection safety for bicyclists.
When robots mean subjective insecurity: an industry-level study in Europe

The word robot was introduced in 1921, about once century ago, to indicate those machines that can navigate through and interact with the physical world of factories, warehouses, battlefields and offices. Robots have been rapidly adopted in the workplace: the stock of robots per million hour worked has increased by over 150 percent in the last two decades (Graetz and Michaels, 2015). Creating autonomous and flexible robots and inventing cobots, robots designed to interact with humans, represent one of the major engineering challenge of the last century.
Emergence of blaNDM-5-producing Escherichia coli ST410 in Companion Dogs Treated with Meropenem

Received: Revised: Accepted: Published online: March 05, 2020 May 06, 2020 May 12, 2020 November 20, 20 Carbapenem-resistant Escherichia coli (CRE) with a multidrug resistant phenotype was isolated from four clinically ill dogs treated with meropenem in different local animal hospitals between 2017 and 2019. IncX3-type plasmids of ca. 46 kb in size carrying blaNDM-5 were present in all CRE strains and their transconjugants. High genetic similarity (>90%) by PFGE analysis was observed among the CRE strains, which were identified as ST410.To the best of our knowledge, blaNDM-5-producing E. coli ST410 clones are emerging sporadically in companion dogs treated with meropenem. The spread of Enterobacteriaceae harboring the NDM-5 gene in companion animals can pose a threat to public health; therefore, extensive monitoring in veterinary hospitals using carbapenem and careful antibiotic use are crucial for managing and monitoring these resistant strains. ©2020 PVJ. All rights reserved
Abundance and distribution of sucking pests complex of okra in relation to meteorological parameters

Okra [Abelmoschus esculentus (L.) Moench], also known as lady’s finger, is one of the most important traditional vegetable in India. The crop losses owing to insect pests is a major constrain in agricultural production and productivity. Amongst the different insect pests, sucking pests are gaining importance as besides sucking the sap and there by devitalizing the plants, many of them also serve as a vector in transmitting the many viral diseases (Halder et al., 2011; Rai et al., 2014). Okra jassid, Amrasca biguttula biguttula Ishida (Hemiptera: Cicadellidae) and whitefly, Bemisiatabaci Gennadius (Hemiptera: Aleyrodidae) are important ones causing damage from early seedling to till fruit maturity (Halder et al., 2015). The insect pest incidence is an outcome of interaction among host, insect and weather over a period of time.Different meteorological parameters viz., temperature, rainfall, wind velocity and relative humidity greatly influence the insect population. Keeping this in view, the present investigation was aimed to elucidate the effect of different weather parameters on the population buildup of these duonefarious sucking pests of okra and also to develop a weatherbased prediction model for the sepersistent sucking pests. This will beuseful to take suitable control measures well in advance,thus reducing the excessive and unnecessary usage of insecticides, cost of cultivation as well as environmental hazards.
Novel approach to the solution of temperature distribution in the stator of an induction motor

In this paper a three-dimensional thermal model of an induction motor is presented. Except for providing a more accurate representation of the problem, the proposed model can also reduce computing costs. The finite element method is used to solve the three-dimensional steady-state and/or transient heat flow equation which describes the thermal model. A temperature-time method is employed to evaluate the distribution of loss in various parts of the machine. Using these loss distributions as an input for finite element analysis, more accurate temperature distributions can be then obtained. The validity and accuracy of the proposed method are checked by comparing the results with those obtained from test.
To Explore the UAV Application in Disaster Prevention and Reduction

The UAV remote sensing is an important way of aerial remote sensing, and increasingly become an important means for spatial data acquisition, which has the advantages of long life time, image real-time transmission, high-risk area detection, low cost, flexibility, is a powerful supplement satellite and aerial remote sensing. "Tianyi" series of UAV has a number of intellectual property rights, and repeatedly used in major natural disaster emergency in the country. Has the advantages of small volume, light weight, small target characteristics, the use of fast, flexible, convenient operation and repair, and can be widely used in the field of disaster prevention and mitigation, search rescue, traffic control, resource exploration, land resources monitoring, border patrol, forest fire prevention, crop monitoring, and provides an example of the application.
Asynchronous Decentralized Online Learning

Most existing algorithms in decentralized online learning are conducted in the synchronous setting. However, synchronization makes these algorithms suffer from the straggler problem, i.e., fast learners have to wait for slow learners, which significantly reduces such algorithms’ overall efficiency. To overcome this problem, we study decentralized online learning in the asynchronous setting, which allows different learners to work at their own pace. We first formulate the framework of Asynchronous Decentralized Online Convex Optimization, which specifies the whole process of asynchronous decentralized online learning using a sophisticated event indexing system. Then we propose the Asynchronous Decentralized Online Gradient-Push (AD-OGP) algorithm, which performs asymmetric gossiping communication and instantaneous model averaging. We further derive a regret bound of AD-OGP, which is a function of the network topology, the levels of processing delays, and the levels of communication delays. Extensive experiments show that AD-OGP runs significantly faster than its synchronous counterpart and also verify the theoretical results.
Coreference and discourse focus in broad-coverage stimuli

Previous work argues that discourse prominence facilitates coreference resolution [1, 6]. However, these studies use constructed stimuli with speciﬁc syntactic patterns (e.g. cleft constructions) which could have idiosyncratic frequency confounds. This paper explores the generalizability of a discourse prominence effect on coreference resolution in a broad-coverage, naturalistic analysis, given that behavioral data for naturally occurring, contextualized sentences have been argued to complement experimental evidence [4]. In particular, the current work proposes several new estimators of prominence appropriate for broad-coverage sentence processing and evaluates them as predictors of reading behavior in the Natural Stories corpus [7], which includes self-paced reading (SPR) times for ten “constructed-natural” narratives from 181 subjects. The experimental setup consists of a linear mixed-effects regression (LMER) model ﬁtting reading times to predictors of interest. For each predictor of interest, a likelihood ratio test is performed to compare the baseline model to a new model including the baseline predictors plus the predictor of interest. Following previous work on the Natural Stories corpus, baseline predictors of syntactic surprisal [11], n-gram surprisal [9, 12], and word length are included. Similar to [2, 3], an additional baseline predictor for order effects is added, called Story Position , calculated as the proportional sentence position in the entire narrative, ranging from 0 to 1. After ﬁltering outliers and data from inattentive subjects, the data consist of 59,632 reading time events for both anaphoric proforms and anaphoric fully referring words. Data is divided into exploratory and conﬁrmatory partitions prior to running any model ﬁtting to optimize predictors on exploratory data and eliminate the need for multiple trials correction. Coreference annotation consists of references back to the most recent antecedent for each anaphor, largely following OntoNotes 5.0 [13] guidelines for identity coreference, but adding possessive determiners ( her , their , its
Differences Between the Allometric Rules Governing Two Formica lugubris Zetterstedt, 1838 (Hymenoptera: Formicidae) Ants Populations in Northern Greece

Red wood ant workers, despite being monomorphic, show a wide range in their body size even within the same colony. As overall size grows, some organs grow in a negative allometric relationship with the body. Genetic and environmental factors, like diet and temperature, are considered as key factors that determine differences in body and organ growth. We studied the allometric rules governing the organs in two different populations of red wood ants in two different environments in Northern Greece to identify similarities and differences. These rules, although linear for both populations and negative allometric for most of the traits measured, differ in the two study areas, while the shape of the head found to be governed by different allometric rules between the two populations. The whole shape and size of red wood ants varies greatly even within the same species and we cannot create allometric models for two different areas, even when they belong in the same species. The differences might be a result of differences in the genome and the environmental conditions between the two populations.