Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis of Code-Mixed Text: A Review

In recent times, sentiment analysis has become one of the most active research and progressively popular areas in information retrieval and text mining. To date, sentiment analysis has been applied in various domains such as product, movie, sport and political reviews. Most of the previous work in this field has focused on analyzing only a single language, especially English. However, with the need of globalization and the increasing number of the Internet used worldwide; it is common to see the post written in multiple languages. Moreover, in an unstructured content like Twitter posts, people tend to mix languages in one sentence, which make sentiment analysis process even harder and more challenging. This paper reviews the state-of-the-art of sentiment analysis for code-mixed, which includes the detail discussions of each focus area, qualitative comparison and limitations of current approaches. This paper also highlights challenges along this line of research and suggests several recommendations for future works that should be explored.
131I radioactive self-expandable metallic stents for the therapy of malignant biliary obstruction

Biliary stent implantation has become a standard approach for patients with unresectable malignant biliary obstruction. Unfortunately, in-stent restenosis after stent implantation still occurs because of tumor overgrowth. The majority of studies show that radioactive stents harbor both the obstructed biliary tract-dilating and tumor-suppressing functions. In this study, we designed a kind of novel 131I-labeled radioactive self-expandable metallic stent (SEMS) that combines the mechanical dilation forces induced by stent expansion and 131I intraluminal brachytherapy, which was prepared by first coating the SEMS with poly (diallyl acrylate) (PDA) and then labeling with iodine-131. The designed stents would not only have a longer patency time but also is able to inhibit biliary compression caused by tumor growth. The PDA coating was robust and flexible. The 131I labeling rate was about 60%, and after a 16-day test of radiochemical stability of 131I, the radioactive stability was around 80%. In addition, the radiochemical stability of 131I could be improved by PDA recoating post-131I labeling. In conclusion, we designed and fabricated a kind of novel 131I-labeled radioactive self-expandable metal stents by labeling 131I on the PDA-coated stent. We provide a new idea of radioactive stents design, which would extend the patency time of the stent while reducing the rate of stent restenosis after implantation.
Predicting Water Stress in Wild Blueberry Fields Using Airborne Visible and Near Infrared Imaging Spectroscopy

Water management and irrigation practices are persistent challenges for many agricultural systems, exacerbated by changing seasonal and weather patterns. The wild blueberry industry is at heightened susceptibility due to its unique growing conditions and uncultivated nature. Stress detection in agricultural fields can prompt management responses to mitigate detrimental conditions, including drought and disease. We assessed airborne spectral data accompanied by ground sampled water potential over three developmental stages of wild blueberries collected throughout the 2019 summer on two adjacent fields, one irrigated and one non-irrigated. Ground sampled leaves were collected in tandem to the hyperspectral image collection with an unoccupied aerial vehicle (UAV) and then measured for leaf water potential. Using methods in machine learning and statistical analysis, we developed models to determine irrigation status and water potential. Seven models were assessed in this study, with four used to process six hyperspectral cube images for analysis. These images were classified as irrigated or non-irrigated and estimated for water potential levels, resulting in an R2 of 0.62 and verified with a validation dataset. Further investigation relating imaging spectroscopy and water potential will be beneficial in understanding the dynamics between the two for future studies.
Image denoising via patch based L1-norm principal component analysis

Patch-based image denoising approaches have gained popularity recently. We propose an image denoising approach using subspaces that are fit using an L1-norm criterion. This new approach is competitive with existing approaches in terms of objective error metrics and visual fidelity, and has the added benefit that it can be implemented in parallel for large-scale applications.
Crescimento inicial do tomateiro-cereja sob irrigação com águas salinas em solo com biofertilizantes bovino

An experiment was conducted, from October 2009 to February 2010, in a greenhouse of the Soil and Rural Engineering Department from CCA â€“ UFPB, Areia â€“ PB, to evaluate the influence of the irrigation water salinity in the initial growth of the cherry tomatoes in a non-saline soil with and without two types of bovine biofertilizer. The experimental design was completely randomized in factorial scheme 5 x 3, with six repetitions, referring to values of electrical conductivity of the irrigation water: 0.5; 1.0; 2.0; 3.0 and 4.0 dS m-1 , in the soil without biofertilizer, with ordinary biofertilizer and enriched with milk, molasses, agricultural gypsum. The biofertilizers after dilution in non-saline water (0.5 dS m-1) in the ratio of 1:1 were applied only once, two days before sowing, equivalent to 10% of the substrate volume. The biofertilizers provided higher growth of plants regarding the soil without the respective inputs, regardless of water salinity level. The addition of ordinary biofertilizer and the enriched compost raised the saline character of soil more than under saline water only, but no significant difference were observed.
Optical-fiber based hydrogen sensing at high temperature using ALD coated oxide sensing layers

Optical fiber-based sensors show unique advantages for high temperature and harsh environment sensing, with off-the-shelf silica fibers being relevant for application environments at temperatures approaching approximately 800oC. Through the integration of oxide-based sensing layers with the optical fiber platform in an evanescent field sensing approach, the optical response of a sensing layer which is modified in response to changing ambient conditions can be directly correlated to the sensor environment. Numerous deposition techniques have been explored in prior publications including sol-gel based wet chemistry deposition and sputtering. As an alternative, atomic layer deposition (ALD) allows for deposition of high quality, nanometer-scale thin films and is uniquely suited for coating of optical fiber-based sensors due to a lack of directionality during the deposition process and compatibility with scalable coating of optical fiber samples. In the current publication, ALD coated TiO2 sensing layers are demonstrated to show a pronounced optical absorption in the visible range which depends upon subsequent processing temperatures and chemical environments. More specifically, the ALD deposition conditions result in the formation of initially amorphous TiO2 layers which show a broad absorption band across the visible range due to the amorphous structure. A reversible temperature dependent response is observed, and above a critical temperature (~400-500°C), crystallization of the TiO2 results in an irreversible change in optical absorption with a sharpened absorption peak associated with the band edge for which the temperature dependence is consistent with prior experiments and theoretical results. Following crystallization of the initially amorphous TiO2 layer, a strong and stable H2 sensing response is also demonstrated for H2 concentrations of various levels ranging from 0-3.9% H2 in nitrogen balance, and at temperatures up to 800°C. Particularly attractive responses are shown in the telecom wavelengths (1550 nm) indicating potential application for distributed sensing with commercially available techniques.
A Unified Calibration Paradigm for a Better Cuffless Blood Pressure Estimation with Modes of Elastic Tube and Vascular Elasticity

Although two modes of elastic tube (ET) and vascular elasticity (VE) have been well explored for cuffless continuous blood pressure (BP) monitoring estimation, the initial calibration with these two models could be derived from different mathematical mechanisms for BP estimation. The study is aimed at evaluating the performance of VE and ET models by means of an advanced point-to-point (aPTP) pairing calibration. The cuff BPs were only taken up while the signals of PPG and ECG were synchronously acquired from individual subjects. Two popular VE models together with one representative ET model were designated to study aPTP as a unified assessment criterion. The VE model has demonstrated the stronger correlation r of 0.89 and 0.86 of SBP and DBP, respectively, and the lower estimated BP error of − 0.01 ± 5.90 (4.55) mmHg and 0.04 ± 4.40 (3.38) mmHg of SBP and DBP, respectively, than the ET model. With the ET model, there is a significant difference between the methods of conventional least-square (LS) calibration and aPTP calibration ( p < 0.05 ). These results showed that the VE model surpasses the ET model under the same uniform calibration. The outcome has been unveiled that the selection of initial calibration methods was vital to work out diastolic BP with the ET model. The study revealed an evident fact about initial sensitivity between the modes of different BP estimation and initial calibration.
Investigating Teachers’ Perceptions on Written Feedback Practices in Malaysian Secondary Schools

This researchis toinvestigateteachers’ perceptions and practices about teacher-written feedbackin a secondary school in Malaysia. There are empirical studies conducted on the effectiveteacher-written feedback practicesto the students’ writing performance.However, there is a little researchwasconducted in Malaysiaon teachers’ perceptions regarding the role of teacher-written feedback in writing.Teachers’ perceptions and practices on written feedback is important to determine how teacher-written feedback place in their formative assessment.The results suggest that written feedback is commonly practiced in writing classroom and the teacher’s perceptions influenced to teacher-written feedback practices. It was found that most teachers consider written feedback is ineffective practices to help students to improve their writing. Teachers recognised that because of time constraints and students attitude influence the effectiveness of the written feedback to the learning process. Several factors were found to have a great influence on the amount and quality of written feedback. The most significant factor was trainings to influence teachers’ perception indicating that teacher-written feedback is unimportant in which was influenced teachers’ practices in the classrooms.
MANAGEMENT OF BLACK SCURF OF POTATO WITH THE INTEGRATED USE OF TRICHODERMA VIRIDE AND BORIC ACID

An integrated biological and chemical seed tuber treatment comprised of a spray of boric acid on seed tubers before cold storage and application of Trichoderma viride at planting was evaluated for control of black scurf of potato, a disease prevalent throughout India. Field trials carried out for four consecutive years (2004-08) revealed that the seed treatment with 1.5% boric acid followed by an application of a T. virde formulation containing 1×10 7 c.f. u. /g @ 4.5g/kg at planting reduced the disease to level achieved with 3% boric acid spray. This integrated treatment can thus be friendlier to the environment than the currently recommended treatment.
Real-time analysis of hyperspectral data in MATLAB: theoretical limits of anomaly detection utilizing higher order statistics through simulation

The inherent wealth of information associated with hyperspectral data provides a data stream that could be leveraged for situational awareness or providing immediate user feedback. However, the enormous amount of data that is produced by some system’s data stream requires longer processing times and often post-processing techniques. Therefore, it is prudent to develop real-time hyperspectral processing techniques that are capable of operating at maneuver speeds. Anomaly detection techniques applied to higher order statistics of the hyperspectral data can provide immediate user feedback for awareness. Determining capabilities prior to applying directly to a system is also informative and provides an in silico point of reference. In this paper, we show, through the use of a real-time simulator (RTS) in the MATLAB environment, a method for simulating the processing speed of a data stream based on how data is received from the instrument. In this work, the RTS provides sub 100ms capabilities based on non-optimized code within the MATLAB environment and is largely limited by the write speed in MATLAB. Utilizing virtual memory and the flexibility of MATLAB allows for simulating real-time capabilities of already obtained hyperspectral data prior to implementing it on a device. Additionally, applying the algorithm to a simulated ground truth data provides a theoretical limit of anomaly detection (LOAD). We further compare theoretical LOADs with actual anomaly detection capabilities in a laboratory environment.
Synthesis of Ultrafine ZnO Powders by Vapor Phase Oxidation of Zn Vapor

1. 緒 言 Zn蒸 気の気相酸化 によるZnO微 粉体の合成 は工業的 にも行われ てお り, 0.3~0. 8μmの 粒状粒子 あるいは針 状粒子 の粉 体が製造 されている1). しか し, 合成条件が 粒子形及 び粒径 に及ぼす影響についての基礎的研究 は少 な く, 特 に粒径0. 1μm以 下 の超微粉 体の合成 に関す る 研究 は少 ない2). ZnOは, 機能性材 料 と して多岐 にわ たる用 途が ある が, それ らの原料粉体 と しては粒径や粒子形の制御 され た高純度超微粉体 が有用 であると考 えられ る. 本研究 では, 粒 径 と粒子形 を制御 したZnO超 微粉 体 の合成 を目的と して, Zn蒸 気 の気相酸化 によるZnO超 微粉体の合成 を行い, 反応温度 や反応 ガス濃度の合成パ ラメー ターがZnOの 粒径 と粒 子形 に及 ぼす影 響 を調べ た.
LAW ENFORCEMENT IN SMART TRANSPORTATION SYSTEMS ON HIGHWAY

This research was employed due to the law enforcement on the highways that is still considered less optimal. Law enforcement on the highways, especially in the transportation field, will be maximized with the existence of such a system. With this perspective in mind, all violations can be recorded and there is no selective action. The method used in this research is the literature review. By employing this method, this present research will be the most recent study in the field. Moreover, all the information from the previous researches have added a value to this research. The issue posed in this research is that there is a shortfall of police staff engaged in surveillance and prosecution on the highway. With these deficiencies, creating system is the solution to all of the problems. This particular system can benefit the police. Therefore, this research will propose a system that will be able to assist the police in conducting surveillance and law enforcement in the transportation sector, especially on highways
National trauma system establishment based on implementation of regional trauma centers improves outcomes of trauma care: A follow-up observational study in South Korea

Although South Korea is a high-income country, its trauma system is comparable to low- and middle-income countries with high preventable trauma death rates of more than 30%. Since 2012, South Korea has established a national trauma system based on the implementation of regional trauma centers and improvement of the transfer system; this study aimed to evaluate its effectiveness. We compared the national preventable trauma death rates, transfer patterns, and outcomes between 2015 and 2017. The review of preventable trauma deaths was conducted by multiple panels, and a severity-adjusted logistic regression model was created to identify factors influencing the preventable trauma death rate. We also compared the number of trauma patients transferred to emergency medical institutions and mortality in models adjusted with injury severity scores. The preventable trauma death rate decreased from 2015 to 2017 (30.5% vs. 19.9%, p < 0.001). In the severity-adjusted model, the preventable trauma death risk had a lower odds ratio (0.68, 95% confidence interval: 0.53–0.87, p = 0.002) in 2017 than in 2015. Regional trauma centers received 1.6 times more severe cases in 2017 (according to the International Classification of Diseases Injury Severity Score [ICISS]; 23.1% vs. 36.5%). In the extended ICISS model, the overall trauma mortality decreased significantly from 2.1% (1008/47 806) to 1.9% (1062/55 057) (p = 0.041). The establishment of the national trauma system was associated with significant improvements in the performance and outcomes of trauma care. This was mainly because of the implementation of regional trauma centers and because more severe patients were transferred to regional trauma centers. This study might be a good model for low- and middle-income countries, which lack a trauma system.
Question Classification for Efficient QA System

Natural Language Processing (NLP), a subfield of Artificial Intelligence (AI), supports the machine to understand and manipulate the human languages in different sectors. Subsequently, the Question and answering scheme using Machine learning is a challengeable task. For an efficient QA system, understanding the category of a question plays a pivot role in extracting suitable answer. Computers can answer questions requiring single, verifiable answers but fail to answer subjective question demanding deeper understanding of question. Subjective questions can take different forms entailing deeper, multidimensional understanding of context. Identifying the intent of the question helps to extract expected answer from a given passage. Pretrained language models (LMs) have demonstrated excellent results on many language tasks. The paper proposes model of deep learning architecture in hierarchical pattern to learn the semantic of question and extracting appropriate answer. The proposed method converts the given context to fine grained embedding to capture semantic and positional representation, identifies user intent and employs a encoder model to concentrate on answer span. The proposed methods show a remarkable improvement over existing system
Multivariate Analysis and Monitoring of the Performance of Aluminum Reduction Cells

A multiblock partial least squares (PLS) modeling approach is proposed in this Article for multivariate analysis and monitoring of aluminum reduction smelters and other electrochemical processes. These industries commonly operate from hundreds to a thousand of metallurgical reactors in parallel, which makes is difficult to build and maintain separate models for each unit. To cope with this problem, the proposed approach is based on the assumption that reactors sharing the same design (i.e., technology) and fed with the same lots of raw materials should also share a similar latent variable space. This allows reducing the number of latent variable models to build for process monitoring. The approach is illustrated on the basis of data collected from 31 reactors used for aluminum reduction. It was shown that well-defined regions in the raw material property and process operation spaces were associated with higher smelter performance. These could be used to establish joint multivariate specification regions for raw materials as well as for plant-wide process monitoring.
Parallel image generation on HPC systems via iLauncher

This work builds on another effort described in Application of Jupyter Notebook interfaces and iLauncher to deep learning work ows on HPC systems.22 We describe a complex work ow application which generates millions of images in parallel on an HPC system via web interfaces using ipywidgets in Jupyter Notebooks and the Interface Launcher (iLauncher). Some computations are so complicated, taking many millions of HPC hours, that only a few subject matter experts are able to generate information efficiently. We present our custom application that walks the user through a work flow to include: target selection, configuration of the target, radar phase history simulation, and finally SAR image generation. The interface requests the user to enter a minimal set of parameters while other variables essential to computations are generated on the y and provides status updates on work ow computations. Additionally, the ability to download any data component or view images interactively is provided. This application can be disconnected from the HPC system and reconnected at any time without slowing down the computations on the work ow submitted. Although typically a maximum run time must be specified when submitting a job to the queuing interface on an HPC system, this application uses the HPC-GPS tool to allow users to extend run times even after the initial request is submitted. Our new application helps to reduce the barrier to entry for both complicated physics-based simulations and using HPC systems.
ANALYSIS OF USER MOBILITY PERFORMANCE ON SOFTWARE DEFINED WIRELESS NETWORK USING DIJKSTRA ALGORITHM

Over the last decade, wireless devices have developed rapidly until predictions will develop with high complexity and dynamic. So that new capabilities are needed for wireless problems in this problem. Software Defined Network (SDN) is generally a wire-based network, but to meet the needs of users in terms of its implementation, it has begun to introduce a Wireless-based SDN called Software Defined Wireless Network (SDWN) which provides good service quality and reach and higher tools, so as to be able to provide new capabilities to wireless in a high complexity and very dynamic. When SDN is implemented in a wireless network it will require a routing solution that chooses paths due to network complexity. In this paper, SDWN is tested by being applied to mesh topologies of 4,6 and 8 access points (AP) because this topology is very often used in wireless-based networks. To improve network performance, Dijkstra's algorithm is added with the user mobility scheme used is RandomDirection. The Dijkstra algorithm was chosen because it is very effective compared to other algorithms. The performance measured in this study is Quality of Service (QoS), which is a parameter that indicates the quality of data packets in a network. The measurement results obtained show that the QoS value in this study meets the parameters considered by the ITU-T G1010 with a delay value of 1.3 ms for data services and packet loss below 0.1%. When compared with the ITU-T standard, the delay and packet loss fall into the very good category.
A Review of Methodological Choices Relating to Work-Life Boundary Research

A methodological review was performed on work-life boundary-related studies published from the year 2010 to 2018. This review systematically selected 59 journal articles on the work boundary phenomenon. The selection criteria for this review closely followed three previous systematic methodological reviews performed on work-life research. Where possible, comparisons were made to integrate the findings of the current study with these previous systematic reviews. Articles were reviewed based on methodological choices such as research design, sampling strategy, data collection, data analysis, reliability, and validity measures. Findings of the review revealed that researchers had utilised a variety of methodological stances to conduct their studies. The majority of the studies in the field followed a quantitative approach, and most studies relating to work boundary management were field studies with a cross-sectional design. Qualitative studies in the area were primarily based on grounded theory. Significant methodological gaps were identified that could be bridged by future studies. Further, notable suggestions were proposed relating to reliability and validity measures taken by the researchers.