Miracle-dz/UniFAR-FTUs huggingface dataset:
Watch out! Motion is BlurringBlurring the Vision of Your Deep Neural Networks Supplementary Material

In the main paper [1] 1 , we have reported the attack results of Inc-v3 on four normal trained models and four defense models, and compared with 14 attack instances on the transferability and the image quality. In this supplementary material, (1) we present the evaluation details of our method regarding the transferability on ﬁve more defense models, comparing the visualization results with SOTA attacks, and discussing the attack results of another three DNNs. (2) We also conducted an in-depth hyper-parameter analysis and ablation study of our method, and posted an interpretable explanation about the difference between our method and baselines on the transferability. (3) We validated the generalization of our method by attacking an STN-based CNN. (4) We demonstrated that our method could help enhance the blur robustness of DNNs for the classiﬁcation task with the results on ImageNetC. (5) We show more adversarial attack results in the real world. (6) We discuss the defense results via re-trained DeblurGANv2 with the blurred images from our methods. Overall, the results of this supplementary material further demonstrated that the proposed adversarial blur attack can fool DNNs effectively while generating visually natural blurred images. All experimental results and discussions infer that motion blur as a common effect in the real world has a high risk of fooling SOTA DNNs and our attack methods initiate the ﬁrst step to study the potential hazards of motion blur for DNNs.
Prediction on Shanghai Composite Index Volatility with Day-of-week Effect, Volume and Turnover Based on HAR Model

The Shanghai Composite Index is the earliest and one of the most important indexes in Chinese stock market, which is calculated by capitalization market weighted average for all the stocks listed on Shanghai Stock Exchange. However, previous researches mainly use lowfrequency-data-based GARCH-type model to predict the volatility of the Shanghai Composite Index without considering the day-of-week effects and the impacts of volume and turnover. In this paper, the HAR-RV model is established primarily based on heterogeneous autoregressive (HAR) theory and five-minute middle-frequency data. Then, trading volume, turnover and day-of-week effects are taken into consideration, respectively, i.e., the HAR-RV-VT model and HAR-RV-W model are constructed. Finally, a mixed HAR-RV-VT-W model is obtained by using the above three factors simultaneously. According to the result, the day-of-week effect and turnover have significant negative impacts on volatility of Shanghai Composite Index while volume has a positive influence. In general, more useful information will be provided based on our mixed model combining volume, turnover and day-of-week effect, which pave a better path to predict the volatility of Shanghai Composite Index.
SECURITY IN FOG IOT-BASED HEALTHCARE FRAMEWORK FOR HYPERTENSION

A definitive issue always occuring in cloud is security. To vanquish the issues or issues of security, another strategy called Fog processing is introduced. The health information is taken from different sensors and fog framework is utilized in dissecting the hypertensive stage. The security of the patient's health information is significant. As the fog has many security issues, the strategy of encryption uses AES computation used here to secure the information of the fog. AES figuring is the most safeguarded about method of encryption for security. The datasets are examined and inspected encryption technique over those datasets. Further, execution of encryption is overviewed over picked datasets for precision if the whole information is sufficiently blended and unscrambled close by the time, User load, Response time, Memory Utilization over document size.
Occurrence of microplastics in the sediments of Baseco Port area at Manila Bay, Philippines

Microplastic in marine sediments is nowadays considered an environmental pollutant. Seaports are particularly susceptible to microplastic pollution through series of human activities occurring in these areas. In the Philippines, research on microplastics is still limited and there is still no study determining the occurrence of microplastics in the harbour of Manila Bay, Philippines. Hence, this work conducted a preliminary investigation of microplastics in the sediments of Baseco Port area, Manila Bay. Nine stations within the study region were sampled. The types of microplastics found are fragments, foam, fiber, film, pellet, and filament with an average size measurement of 1.6±1.4 mm. Results from this study suggest that anthropogenic impacts are most likely the dominant sources of accumulation and distribution of microplastics in the sediments of Baseco port. This study provides preliminary assessment of microplastics contamination in the area that may serve as important reference for further studies.
Classification of Parkinson’s disease patients based on spectrogram using local binary pattern descriptors

Extreme learning machine is an algorithm that has shown a good performance facing classification and regression problems. It has gained great acceptance by the scientific community due to the simplicity of the model and its sola great generalization capacity. This work proposes the use of extreme learning machine neural networks to carry out the classification between Parkinson’s disease patients and healthy individuals. The descriptor used corresponds to the feature vector generated applying the local binary Pattern algorithm to the grayscale spectrograms. The spectrograms are obtained from the audio signal samples from the considered repository. Experiments are conducted with single hidden layer and multilayer extreme learning machine networks comparing the results of each structure. Results show that hierarchical extreme learning machine with three hidden layers has a better general performance over multilayer extreme learning machine networks and a single hidden layer extreme learning machine. The rate of success obtained is within the ranges presented in the literature. However, the hierarchical network training time is considerably faster compared to multilayer networks of three or two hidden layers.
Monitoring the evolution of drought conditions over Africa

Droughts have been found to have serious repercussions on humans, animals, and plants’ lives and they are likely to intensify under increasing global mean temperature. Monitoring drought conditions help in designing appropriate adaptations and mitigation strategies. This paper monitors the evolution of drought conditions in Africa over the past 30 years and the potential repercussions posed by this disaster event. We analyze and compare trends in surface temperatures, precipitation, soil moisture, Outgoing Longwave Radiation (OLR), and Palmer Drought Severity Index (PDSI). We use the NCEP/NCAR Reanalysis, the University of Delaware, the Climate Prediction Center (CPC), and the DAI PDSI gridded data for the period 1984-2014. Results from the NCEP/NCAR, University of Delaware, CPC, and the DAI PDSI gridded data show an increasingly warmer, drier, and less cloudy Sub-Saharan climate but with an intensification of the West African monsoon rainfall. Moreover, more than 80% of the continent shows strong evidence of droughts with an average increase in drought severity index. These conditions will likely have a negative effect on the agricultural sector which accounts for more than 70% of the Gross Domestic Product (GDP) of this region thereby posing a serious threat to regional food security. We recommend the research into and the development of new crop varieties that can tolerate higher temperatures and need less water. Additionally, our findings can also be used in Sub-Saharan Africa’s water management systems.
Repulsion Loss を導入した Single Stage Headless 構造による遠方歩行者検出 木村秋斗

歩行者検出は,画像上に存在する歩行者の位置を検 出する技術である. そのため,自動運転では前方にい る歩行者を検出し,車を停止させるなど,自動運転の 安全性を確保するために必要な技術であると言える. 特に,車が高速で運転している場合は,歩行者と車が 近づく時間が短くなる. そのため,自動車周辺の歩行 者検出だけでなく,遠方にいる歩行者を検出すること は重要である. 従来の歩行者検出として,Convolutional Newral Network(CNN)[1]による物体検出を用いて行う手法が 多数提案されている [2][3]. しかし,遠方にいる歩行 者は画像上では領域が小さく,従来の歩行者検出手法 では,有効な特徴を得ることができない. また,従来 の歩行者検出手法では,歩行者同士が重なっている場 合に,複数の歩行者の特徴をまとめて一つにして検出 することがある. これにより遠方の小さな物体の検出 精度が低下する. 一方で CNNを用いた顔検出手法は, 遠方にいる小さい顔も含めた検出を行う手法が提案さ れている. 本 研 究 は Single Stage Headless face detector(SSH)[4] を基に,Repulsion Loss[5] を損 失関数に追加した手法を用いて遠方歩行者検出を行う. SSH は画像上の小さい顔を検出する手法である. そ のため,SSH を歩行者検出に応用することで遠方に いる小さい歩行者の検出を行うことができる. また, Repulsion Lossは検出対象に対して予測された検出結 果が他の検出対象から離れるように学習を行う損失関 数である. これにより,歩行者同士が重なっている場 合,歩行者同士をまとめて一つに検出することを防ぐ ことができる. 本稿では,はじめに CityPersonsデー タセットにより,SSHの遠方歩行者検出に最適な値の 調査を行う. 次に,遠方歩行者検出に最適な値に調整 した SSH の損失関数に Repulsin Loss を追加し,追 加前との精度の比較と従来の物体検出手法との比較を 行い,遠方歩行者検出における本手法の有効性を調査 する. 2 関連研究
Simultaneous ultrasound-assisted hydrodistillation of essential oil from aerial parts of the Satureja khuzistanica Jamzad and its antibacterial activity

Background: Ultrasonic assisted extraction (UAE) is a robust and efficient method as a desirable alternative to conventional strategies for extracting active ingredients from different parts of plants. Coupling this technique with hydrodistillation is an effective method for producing essential oil from plant material. Objective : In this study, we successfully combined ultrasonic technology with hydrodistillation (HD) and optimized the system to reduce the time of the isolation and increase the yield of the essential oil obtained from Stureja khuzistanica Jamzad (SK). Methods : In the next step, isolation time, yield, and quality of essential oils obtained by conventional and ultrasonic-assisted methods were compared. Ethyl acetate (EA) was used to recover the remaining essential oil in the distillate. Results: All oils and distillates were analyzed qualitatively and quantitatively via the GC-FID and GC-MS techniques. The minimum inhibitory concentration (MIC) of SK essential oil against Escherichia coli (0.5 mg/ml to 8.0 mg/ml) and Staphylococcus aureus (0.25 mg/ml to 8.0 mg/ml) were calculated. Conclusion: Our results show that while the obtained essential oils chemical profile and biological properties are comparable, this method can enhance essential oil isolation yield efficiency by up to 40 %.
Co-Site Microscopy – Combining Reflected Light Microscopy and Scanning Electron Microscopy to Perform Ore Mineralogy

Computer-controlled microscopes with digital image acquisition and analysis led to the creation of the new field of digital microscopy. These techniques not only allow a certain degree of automation but have also brought new possibilities to microstructural characterisation. One of these new and promising possibilities is co-site microscopy, which links different kinds of information obtained from different microscopy techniques. The present work presents the development and implementation of a co-site microscopy methodology that combines images obtained by reflected light microscopy (RLM) and scanning electron microscopy (SEM). This methodology can improve the SEM analytical capacity by adding colour information from RLM. It involves the whole sequence, from image acquisition at the microscopes to the analysis of the phases using pattern recognition techniques. An automatic registration procedure for the two kinds of images was developed, allowing the adjustment of magnification, translation, rotation and pixel size, and the correction of local distortions. Thus, the images from RLM and SEM can be combined to build a multidimensional data set of each field, which can then be used in a pattern recognition approach to discriminate different phases. The methodology was tested with a copper ore sample, aiming at the discrimination of minerals that are not distinguishable with either RLM or SEM.
Triangular Ring Patch Antenna Analysis: Neuro-Fuzzy Model for Estimating of the Operating Frequency

In this study, a neuro-fuzzy (NF) analysis method is suggested for the estimation of the operating frequency of triangular ring patch antennas (TRPAs) that operate at ultra high band applications. Although the analysis of regular-shaped patch antennas (PAs) such as rectangular, triangle, and circle is easy, analysis of irregularly shaped patch antennas is difficult and time consuming. Here, this great effort and time has been eliminated by using an artificial intelligence technique such as NF. To create a data set for NF, 100 TRPAs with different physical and electrical properties (L, l, h, and εεrr) are simulated by using an electromagnetic simulator program. The currency and accuracy of the proposed approach is then confirmed on the measurement results of a prototype TRPA fabricated in this study. The results of NF model are compared with the simulation/measurement results and previously the method published in the literature.
УДК 614.46:378.018.43:004.77 SOME FEATURES OF DISTANCE LEARNING OF MEDICAL ENGLISH- SPEAKING STUDENTS

The education system all over the world have changed because of Covid 2019. It challenged to online the model of teaching way. Distance learning of students is the most important way of conducting of the educational process of medical students in the context of the coronavirus pandemic. The article describes some features of distance learning of medical English-speaking students.
International Journal of Electrical and Computer Engineering (IJECE)

Received Jul 1, 2021 Revised Jan 5, 2022 Accepted Jan 23, 2022 Depression is an acute problem throughout the world. Due to worst and prolong depression many people dies in every year. The problem is that most of the people are not concern of the fact that they are suffering from depression. In this research, our aim was to find out whether an individual is depressed or not by analyzing social media status. Therefore, we focused on real data. Our dataset consists of 2,000 sentences, which was collected from different social media platforms Facebook, Twitter, and Instagram. Then, we have performed five data pre-processing approaches for natural language processing (NLP) such as tokenization, removal of stop words, removing empty string, removing punctuations, stemming and lemmatization. For our selected model, we considered that processed data as an input. Finally, we applied six machine learning (ML) classifiers multinomial Naive Bayes (NB), logistic regression, liner support vector classifier, random forest, K-nearest neighbour, and decision tree to achieve better accuracy over our dataset. Among six algorithms, multinomial NB and logistic regression performed well on our dataset and obtained 98% accuracy.
POLYCULTURALISM AND POLYLINGUALISM IN EDUCATIONAL ENVIRONMENT: EDUCATIONAL AND UPBRINGING PERSPECTIVES FOR FOREIGN LANGUAGE INSTRUCTION

POLYCULTURALISM AND POLYLINGUALISM IN EDUCATIONAL ENVIRONMENT: EDUCATIONAL AND UPBRINGING PERSPECTIVES FOR FOREIGN LANGUAGE INSTRUCTION The article studies educational environment in the light of polyculturalism including multiculturalism in a foreign language instruction environment, first. Second, it is the aspect of polylingualism, which is faced and discussed in the context of educational environment. The educational process in higher education, including cultural and spiritual upbringing from the standpoint of the environmental approach, is a chain of successive actions. It is noted that these include (i) goal setting and determining ways to implement it, (ii) analysis and use of opportunities of the environment, and (iii) selection of necessary educational actions in the environment and with the environment. It is followed that many scholars and researchers study the questions of polyculturalism / multiculturalism along with polylingualism locally and globally. However, very little is discussed in terms of a linguistic, psychological and pedagogical combination that discusses the concepts of ‘environment’, ‘educational environment’, ‘polylingual environment’, and ‘poly/ multicultural environment’ altogether as inseparable whole. To this part, an understanding of the ‘polylingual educational environment’ and ‘poly/ multicultural educational environment’ in their combinatory complexity may serve a good ground for setting the enhanced value standards and broadening pedagogical horizons in higher education, especially when it comes to foreign language instruction and teaching and learning languages for specific purposes (LSP), in particular, in foreign language classrooms. The following objectives – (a) definition of polyculturalism and polylingualism under the research, (b) introduction of such concepts as ‘polylingual educational environment’ and ‘poly/ multicultural educational environment’, and (c) specified description of the structural components of the ‘poly/ multicultural educational environment’ helped achieve the aim of the research. It is stated that polylingualism and poly-/ multiculturalism are closely linked. In particular, the paper refers in the theoretical part of the literature review to the classification by Horchakova in regards to the structural components of a poly-/ multicultural educational environment. According to the scholar, these include the sociopsychological, pedagogical, and communicative components. Discussing the value of poly/ multiculturalism in the multinational classroom and highlighting the need in educating poly / multiculturally focused foreign language teachers, including teachers of languages for specific purposes, it becomes evident that university is that very educational environment that can ensure driving reforms for enhanced quality in the 21 century globally changing world.
COMPARATIVE STUDY ON DEGRADATION OF POLYLACTIC ACID/ SYZYGIUM AROMATICUM COMPOSITES AGEING IN OUTDOOR ENVIRONMENT AND SOIL BURIAL

Major environmental problems resulting from non-degradable components of plastic wastes have awakened great attention to bioplastic as an alternative material. Among various bioplastic materials, polylactic acid (PLA) is recognised as a promising material especially as a food packaging material. The development of PLA composites using various fillers has extensively been in focus in order to preserve the high quality, safety, and extended shelf-life of packed food. Among the interesting fillers is Syzygium aromaticum (SA). SA, also known as clove, has biological activities such as antibacterial, antifungal, insecticidal, and antioxidant properties. This work investigated the effects of SA filler on the degradations of virgin PLA (VPLA) and recycled PLA (RPLA). The VPLA/SA composites and RPLA/SA composites were prepared using the solvent casting method. The content of SA filler varied in the range of 0 to 20 wt%. The composites were aged in outdoor environment and soil burial. The results revealed that the degradation rate was increased with the increase of SA filler in both ageing environments. After 10 weeks of ageing in the outdoor environment, the weight loss of VPLA/SA composites and RPLA/SA composites containing 20 wt% of SA were 7.7% and 12.8% respectively. Whereas in soil burial, the weight loss of VPLA/SA composites and RPLA/SA composites with similar SA content were 25.6% and 38.3% respectively. The degradation rate was observed to be more rapid in the soil burial as compared to the outdoor environment. Comparably, RPLA and RPLA/SA composites experienced higher degradation rates than VPLA and VPLA/SA composites. The degradation rate was consistent with scanning electron microscope (SEM) images which observed the formation of holes, cavities, cleavages, and grooves on the surfaces of the samples. Thermogravimetric analysis (TGA) results on aged samples showed that VPLA/SA composites and RPLA/SA composites that had aged in soil burial decomposed at lower temperatures. The shortening of degradation time of the VPLA/SA composites and RPLA/SA composites could increase their potential to be used as food packaging materials. ABSTRAK: Masalah utama terhadap alam sekitar yang disebabkan oleh sisa plastik yang sukar terurai, telah menarik perhatian terhadap bioplastik sebagai bahan alternatif. Di antara pelbagai jenis bahan bioplastik sedia ada, asid polilaktik(PLA) dilihat sebagai bahan yang paling sesuai terutamanya sebagai bahan pembungkusan makanan. Perkembangan di dalam penghasilan komposit asid polilaktik yang ditambah dengan pelbagai bahan pengisi telah menjadi fokus terutamanya bagi tujuan meningkatkan kualiti, kesegaran dan jangka hayat makanan. Salah satu pengisi yang mendapat perhatian adalah Syzygium aromaticum (SA). SA yang juga dikenali sebagai bunga cengkeh mempunyai aktiviti biologi, seperti sifat antibakteria, antijamur, racun serangga dan antioksidan yang tinggi. Didalam kajian
Analysis and Design of Mechanical Framework of Lower Extremity Exoskeleton

In order to combine the human intellect with the mechanical strength,the paper tries to design the Lower Extremity Exoskeleton applied to load-carrying.The design of mechnical framework of the Lower Extremity Exoskeleton is one of the key technologies.So Firstly,based on the biological characteristic of human walking,this paper introduces a method for mechnical design of the Lower Extremity Exoskeleton.Then using the stability theories of ZERO Moment Point,it analyzes the characteristic of the dynamic stability of the exoskeleton.Finally,it builds a virtual prototype model in the ADAMS,implements the simulation of the walking model.By comparing the results,it validates that the model's ZMP is stable,and illustrates the feasibility of the virtual prototype's simulation.
Global cervical cancer research: A scientometric density equalizing mapping and socioeconomic analysis

Cervical cancer has caused substantial morbidity and mortality for millions of women over the past decades. While enormous progress has been made in diagnosis, prevention and therapy, the disease is still fatal for many women—especially in low-income countries. Since no detailed studies are available on the worldwide research landscape, we here investigated the global scientific output related to this cancer type by an established protocol. The “New Quality and Quantity Indices in Science” platform assessed all relevant cervical cancer research published in the Web of Science since 1900. A detailed analysis was conducted including country-specific research productivity, indicators for scientific quality, and relation of research activity to socioeconomic and epidemiologic figures. Visualization of data was generated by the use of density equalizing map projections. Our approach identified 22,185 articles specifically related to cervical cancer. From a global viewpoint, the United States of America was the dominating country in absolute numbers, being followed by China and Japan. By contrast, the European countries Sweden, Austria, and Norway were positioned first when the research activity was related to the population number. When the scientific productivity was related to annual cervical cancer cases, Scandinavian countries (Finland #1, Sweden #4, Norway #5, Denmark #7), the Alpine countries Austria (#2) and Switzerland (#6), and the Netherlands (#3) were leading the field. Density equalizing mapping visualized that large parts of Africa and South America were almost invisible regarding the global participation in cervical cancer research. Our data documented that worldwide cervical cancer research activity is continuously increasing but is imbalanced from a global viewpoint. Also, the study indicated that global and public health aspects should be strengthened in cervical carcinoma research in order to empower more countries to take part in international research activities.