Miracle-dz/UniFAR-FTUs huggingface dataset:
EFFECT OF VARIOUS GROOVE CROSS SECTIONS ON PERFORMANCE OF AXIALLY GROOVED HEAT PIPE

Heat pipe design is based on operating temperature range, selection of fluid and compatibility with container material and wick structure for cooling the medium heat flux electronic devices. This paper deals about, heat pipe design procedure and optimization. Theoretical analysis has been carried to find out the optimum wick cross section for axially grooved heat pipe for space application. Effect of the groove section on the performance of axially grooved heat pipe is analysed and for one particular cross section, results are compared with experimental results. Parametric studies are carried out to determine the effect of wick cross section on heat pipe transfer capacity, effective axial thermal conductivity, amount of fluid, and mass of heat pipe with regard to specific testing conditions. IndexTerms— axially grooved heat pipe, wick cross section __________________________________________________________________________________________
Reoperation in esotropic Duane retraction syndrome: Long-term motor outcome of superior rectus transposition

Aim: The aim was to evaluate the long-term motor outcome of superior rectus transposition procedure in patients affected by unilateral esotropic Duane retraction syndrome with residual esotropia and anomalous head position. Methods: A retrospective analysis of medical records of patients affected by esotropic Duane retraction syndrome who underwent superior rectus transposition procedure as reoperation for residual esotropia and/or residual anomalous head position. Amount of deviation, anomalous head position, duction limitation, globe retraction, presence of upshoot/downshoot, and vertical deviation were analyzed before and after superior rectus transposition procedure. Results: Twenty patients were selected. All patients underwent unilateral medial rectus recession or bilateral medial rectus recession, for unilateral esotropic Duane retraction syndrome at least 2 years before superior rectus transposition reoperation. Mean age at surgery (superior rectus transposition) was 12 ± 6.8 years, and the follow-up period was 2.7 ± 0.6. Mean deviations at distance and near before surgery were 19.5 ± 5.7 and 15.2 ± 6.8, respectively. Two patients showed upshoot. Head turn was 11.4 ± 5.1°; abduction limitation was −2.6 ± 0.9. After superior rectus transposition, all patients showed an improvement of esotropia at distance and near (8.1 ± 5.7 and 5.1 ± 5.6, respectively; p < 0.05), anomalous head position (5.6 ± 3.9°; p < 0.05), and abduction limitation (−2.3 ± 0.8; p < 0.05). No statistically significant changes occurred in globe retraction. No adduction limitation, vertical deviation, and upshoot/downshoot were present after superior rectus transposition procedure. Results were stable during follow-up. Conclusion: Superior rectus transposition procedure is an effective procedure in esotropic Duane retraction syndrome patients who previously undergone unilateral/bilateral medial rectus recession, with residual esotropia and anomalous head position. It allows improvement of esotropia, head turn, and partial recovery of abduction in a significant percentage of patients (30%) with no vertical complications.
Customer Relationship Management using Ensemble Methods

This thesis aims to provide a method for customer relationship management prediction to beat the in-house classification method implemented by the data provider company. By reviewing the common machine learning algorithms, we recommend ensemble methods to predict the targets. Three different ensemble methods are implemented in the thesis: random forest, gradient boosting decision trees and ensemble selection. With the results, we conclude that all ensemble methods outperform the benchmark, reduce the positive predictions and increase the true positive rates. Ensemble selection performs the best, followed by the gradient boosting decision trees. In addition, the results indicate that the ensemble methods' running time significantly increase when compared to the benchmark. The results also indicate that careful feature selection can significantly simplify the training and prediction process. We further discuss the potential applications in marketing using the prediction results and the trade-off between accuracy and computational complexity when applying ensemble methods.
African mahogany wood defects detected by ultrasound waves

This study aims to investigate the potential of ultrasound wave to detect defects in 19 years old of two species of African mahogany planted in Brazil. Were used five 76 x 5 x 5 cm samples from each species with different types of defects, and were conditioned to 12% moisture content. The samples were scanned with ultrasound wave in longitudinal direction and every 2,54 cm in radial and tangential directions along the samples. It was possible to identify end split and pin knots in Khaya ivorensis and reaction wood in Khaya senegalensis wood. Beetle galleries did not affect wave velocities in Khaya senegalensis wood. Grain angle had a large effect in ultrasound velocities in radial and tangential directions. Khaya senegalensis exhibit lower longitudinal velocities related to larger amount of interlocked grain in this species. The ultrasound waves can be useful in lumber classification process in wood industry.
Finite Mixture Models: Beyond the EM Algorithm

Finite mixture models (FMMs), such as a mixture of Gaussians, have been extensively used and studied for several decades. More recently, a new class of models called variational autoencoders (VAEs) have shown significant success as generative models of real-world data such as images [1]. VAEs can be seen as an infinite-dimensional extension of FMMs, i.e., the limit of an FMM when the number of mixture components goes to infinity. FMMs and VAEs share a non-convex likelihood function that is often thought to be intractable. To learn these models, the intractable likelihood is replaced by a lower bound that is easier to optimize,e.g., resulting in the EM algorithm (introduced in [2]) for FMMs and in variational inference (VI) for VAEs. One of the authors derived, but has not implemented, a new non-variational algorithm for VAEs that does not work with a lower bound of the likelihood (C.G.U.), but rather with an approximation of it based on the delta method. The goal of this project is to develop and evaluate a similar new method to learn FMMs, since they are simpler than VAEs, to then determine whether to continue to pursue related ideas for VAEs.
A Survey on Various Propagation Model for Wireless Communication

Signal Propagation is used for wired or wireless communication. It is depend upon terrain, frequency of operation, height of mobile, base station and other dynamic factor. Propagation models predict the mean signal strength for an arbitrary transmitter-receiver (T-R) separation distance[5]. In this paper, Empirical propagation models such as Okumura, Hata, and Lee model has been surveyed exhaustively.
Development of Tools Speed of Blow Reaction Android-Based in Pencak Silat

The purpose of this research is to make a training tool for the speed of reaction in pencak silat. The sample in this study amounted to 60 people coming from the Sports Coaching students of Medan State University The small group test involving 20 students. The large group test involving 40 students. This research uses the Research and Development Method. Research and Development Method is a research method used to produce certain products, and test the effectiveness of these products. Pencak silat's reaction speed training equipment is valid according to experts' assessment and has been reliable for use in the training process as evidenced by the results of the consistency of the results of the test, this tool has the benefit of the user in terms of the application of technology in sports and the development of martial arts sports performance going forward.
POINT CLOUD REGISTRATION FOR A NON-DEFORMABLE OBJECT USING SURFACE CURVATURE FEATURES

Recently, many applications require 3D information f an object (i.e. point cloud) such as 3D image scanning, 3D surface reconstruction and etc. Howeve r many researches on point cloud registration face many challenges especially for increasing the accur acy of point cloud matching. This research employs surface curvature features in discrete surfaces. A urface curvature feature is a pointer of ridges th at are invariant to rigid body transformations. In this pa per, a new algorithm of point cloud registration f r non deformable object is proposed. This algorithm emplo ys surface curvature features estimated by fittin g knearest neighbor of local point to hyperbolic parab oloid equation. The proposed algorithm is implemented with Iterati ve Closest Point (ICP) technique and quantitatively evaluated and compared with common techniques for p oint cloud registration. Experimental results demonstrate that the proposed technique approximate ly 63% faster and 23% more accurate than iterative closest point with angular invariant feature (ICP-A IF) registration techniques. These results are obta ined by testing the proposed frame work with noise, differe nt pose of point cloud and overlapped area.
Multi-Class Text Sentiment Analysis

Text sentiment analysis is an important research topic for its wide applicability in real-world applications, and recent breakthroughs in text embedding and classification models led to state-of-the-art results. This project aims to apply recent innovations in machine learning to fine-grained multi-class sentiment analysis of Amazon reviews, contrasting different models including Naive Bayes Classifiers, Textblob/Vader, ML Classifiers, Neural Networks, and Text CNN to identify the most performant ML techniques. The objective of this project is to: predict one of the three (positive, neutral, negative) sentiment classes given an Amazon text book review.
ESTIMATION OF A DYANAMIC BEHAVIOR FOR A CAPTURE MISSION USING FLEXIBLE MECHANISM

In this paper, real-time estimation method of a dynamic behavior for a capture mission conducted by a free-flying spacecraft which has a capturing mechanism consisted of flexible parts such as wire will be discussed. As a concrete example, HTV capture using ISS’s SSRMS is selected as a problem. To estimate dynamic behavior from limited telemetry data in real time, the Real-time Operationbased Dynamics Estimation (RODE) method is introduced. The dynamics model for the HTV and SSRMS with LEE was developed and virtual telemetry generation for a contact force distribution was set. The virtual telemetry is calculated from telemetry data about joint angles of SSRMS. Finally, the proposed estimation system was verified with simulator and ground experiment facility, the results are discussed in this paper. It is concluded that proposed system has a capability to estimate a dynamic behavior with required accuracy and frequency in real-time to use in operation.
Evidence of Long-Distance Aerial Convection of Variola Virus and Implications for Disease Control

Two distinct phenomena of airborne transmission of variola virus (smallpox) were described in the pre-eradication era—direct respiratory transmission, and a unique phenomenon of transmission over greater distances, referred to as “aerial convection”. We conducted an analysis of data obtained from a systematic review following the PRISMA criteria, on the long-distance transmission of smallpox. Of 8179 studies screened, 22 studies of 17 outbreaks were identified—12 had conclusive evidence of aerial convection and five had partially conclusive evidence. Aerial convection was first documented in 1881 in England, when smallpox incidence had waned substantially following mass vaccination, making unusual transmissions noticeable. National policy at the time stipulated spatial separation of smallpox hospitals from other buildings and communities. The evidence supports the transmission of smallpox through aerial convection at distances ranging from 0.5 to 1 mile, and one instance of 15 km related to bioweapons testing. Other explanations are also possible, such as missed chains of transmission, fomites or secondary aerosolization from contaminated material such as bedding. The window of observation of aerial convection was within the 100 years prior to eradication. Aerial convection appears unique to the variola virus and is not considered in current hospital infection control protocols. Understanding potential aerial convection of variola should be an important consideration in planning for smallpox treatment facilities and protecting potential contacts and surrounding communities.
INKJET-PRINTING OF PHOSPHORUS AND BORON DOPANT SOURCES FOR TUNNEL OXIDE PASSIVATING CONTACTS

This paper presents inkjet-printing of phosphorus and boron dopant inks for the formation of tunnel oxide passivating contacts (TOPCon) for back-contact back-junction (BC-BJ) silicon solar cells. The successful realization of passivating contacts utilizing printing technologies is a crucial prerequisite to simplify the fabrication process of BC-BJ cells while approaching the theoretical efficiency limit of silicon solar cells. In this work, the focus is set on developing inkjet printing processes for the application of dopant sources towards higher precision, homogeneity of printed lines and lifetime, in order to establish high passivation quality for TOPCon. Excellent passivation quality is achieved for inkjetprinted n-type (phosphorus) poly-Si surfaces with an implied open-circuit voltage iVOC of up to 733 mV and an implied fill factor iFF of up to 86.4%. For p-type (boron) poly-Si, iVOC of up to 682 mV and iFF of 80.6% were achieved. Similar results were realized by ion-implanted poly-Si surfaces, herein used as the reference, underlining the high potential of the investigated printing processes
Respiratory Illness in Civilians During War and After Natural Disasters

Health crises may be defined as the occurrence of morbidity and mortality in excess of secular trends, because of natural or man-made disasters. Natural disasters have killed millions of people over the last 20 years. Man-made disasters refer to a crisis which could be due to armed conflict, population displacement, or a combination of both. Between 1975 and 1989, civil conflicts were estimated to have caused the death of >2 million people. The impact of disaster on human health is caused through direct (people killed, wounded, or traumatized by weaponry, intentional attacks, or the mechanical force of nature) and indirect effects (starvation; occurrence of vaccine-preventable diseases, or worsening of existing chronic diseases). The excess death toll in crises appears to be mainly “indirect”. The main causes are diarrheal disease, acute respiratory infection, measles, and malaria, HIV/AIDS, and tuberculosis. Pulmonary problems are major causes of morbidity and mortality following natural and man-made disasters. Appropriate and effective response to natural disaster and complex emergencies need timely and accurate data obtained from health information systems. Management protocols should preferably be provided in accordance with the national guidelines. Available interventions need to be implemented in a coordinated manner by governments, United Nations (UN agencies), and nongovernmental agencies and every country should take preparedness measures by implementing a national preparedness and response plan.
Hourly PWV Dataset Derived from GNSS Observations in China

The rapid variation of atmospheric water vapor is important for a regional hydrologic cycle and climate change. However, it is rarely investigated in China, due to the lack of a precipitable water vapor (PWV) dataset with high temporal resolution. Therefore, this study focuses on the generation of an hourly PWV dataset using Global Navigation Satellite System (GNSS) observations derived from the Crustal Movement Observation Network of China. The zenith total delay parameters estimated by GAMIT/GLOBK software are used and validated with an average root mean square (RMS) error of 4–5 mm. The pressure (P) and temperature (T) parameters used to calculate the zenith hydrostatic delay (ZHD) and weighted average temperature of atmospheric water vapor (Tm) are derived from the fifth-generation reanalysis dataset of the European Centre for Medium-Range Weather Forecasting (ECMWF ERA5) products. The values of P and T at the GNSS stations are obtained by interpolation in the horizontal and vertical directions using empirical formulas. Tm is calculated at the GNSS stations using the improved global pressure and temperature 2 wet (IGPT2w) model in China with an RMS of 3.32 K. The interpolated P and T are validated by interpolating the grid-based ERA5 data into radiosonde stations. The average RMS and bias of P and T in China are 2.71/−1.11 hPa and 1.88/−0.51 K, respectively. Therefore, the error in PWV with a theoretical RMS of 1.85 mm over the period of 2011–2017 in China can be obtained. Finally, the hourly PWV dataset in China is generated and the practical accuracy of the generated PWV dataset is validated using the corresponding AERONET and radiosonde data at specific stations. Numerical results reveal that the average RMS values of the PWV dataset in the four geographical regions of China are less than 3 mm. A case analysis of the PWV diurnal variations as a response to the EI Niño event of 2015–2016 is performed. Results indicate the capability of the hourly PWV dataset of monitoring the rapid water vapor changes in China.
DEVELOPMENT OF THE ELECTRONIC LOGBOOK FOR THE BM@N EXPERIMENT AT NICA

The acquisition of experimental data is an integral part of all modern high-energy physics experiments. During experiment runs, not only data collected from detectors are important for understanding the produced collision events, but also records in a logbook, which are written by the shift crew and describe operating modes of various systems and detectors of the experiment and various types of occurred events. The article presents a new electronic logbook developed to automate the described process in the BM@N experiment, a fixed target experiment of the NICA project at the Joint Institute for Nuclear Research in Dubna. The online electronic logbook allows shift members to record information on current events, states of various systems, operation conditions of detectors and many others, which are further used in processing and physics analysis of the particle collision events. The system provides collaboration members with tools for convenient viewing, managing and searching for the required information in the logbook. The specialized Web service and application programming interface for storing and accessing the data are considered. The important task of integrating the online electronic logbook with the central experiment database is described. A set of auxiliary services has been developed and presented in the paper.
A 400 Msps SDR platform for prototyping accurate wideband ranging techniques

In order to validate and demonstrate newly developed ranging techniques, a flexible test platform for signal acquisition enabling offline signal processing is generally needed. Developing such a platform becomes challenging when working with wideband (> 100MHz) signals due to the critical timing, the very high sampling rates and the huge data throughput involved. In this paper, we introduce an Ettus X310 SDR platform using custom designed logic allowing for dual-channel 400 Msps data transmission and acquisition for centimeter level ranging applications. Furthermore, we present initial measurement results as a benchmark of the platform, which show that the time delay of a 10 m cable can be estimated with high accuracy, in the order of 50 ps.
A MULTIPLE WORKING MODE APPROACH TO CONTROL SPACE MANIPULATOR INTERACTION WITH UNKNOWN TARGETS

Building upon the multiple working mode robot control approach, we propose to improve the stability and real-time performance of a robotic arm on a servicer satellite performing a capture of, or an interaction task with an unknown target. By switching on-line the working mode of a chosen set of joints to operate in passive mode, passive-like compliance is enabled in the system [1] without the disadvantages associated with free and disconnected drivetrain joints. This work presents two criteria for selection of joints in a serial manipulator for passive mode operation; one criterion considers the torque saturation of the attitude control system, and another criterion is based on the perceived end-effector inertia. The dynamics of the system are formulated with joints working in passive mode, and the effects of the criteria-based working mode selection are investigated with simulations.
Earthquakes Felt in the Juan Fernandez Islands: Where Are They Coming from?

The Juan Fernandez Islands (JFI) are located in the Pacific Ocean 675 km west of the Chilean coast. This archipelago has historically been affected by large tsunamis. Robinson Crusoe Island (RCI), the main island of the JFI, was first inhabited in 1749. Since then, several tsunamis have destroyed RCI port structures and sometimes caused deaths. Ground shaking perceived by the inhabitants has preceded some tsunami arrivals. Seismological instrumentation was temporarily deployed on RCI in 1999, and a permanent station has been operating since 2014. Here, we use these data to characterize the seismic waves that arrive at the JFI and to determine whether shaking perception could be used as a tsunami early warning system. We compute peak ground accelerations (PGAs) from P, S, and T waves generated by Peruvian and Chilean earthquakes and find that the largest ground shakings are mostly related to T‐wave arrivals, which correlate with macroseismic modified Mercalli intensities lower than III. From the analysis of PGAs and macroseismic intensities, we conclude that shaking perception can be associated with large megathrust earthquakes, subduction events generated in the deep zone of seismogenic contact, and local seismicity. Unfortunately, potential tsunami earthquakes that occur on the Chilean coast will not be felt on RCI. Consequently, ground shaking in the JFI would not be a good proxy for tsunami warning, and a robust tsunami early warning system is necessary for RCI.