Reviewerly/exHarmony huggingface dataset:
Enfermedad de Parkinson: neurodegeneración asociada con el Estrés Oxidativo

espanolObjetivo: describir la asociacion entre el estres oxidativo y la enfermedad de Parkinson. Desarrollo: se realizo una revision documental en Bases de Datos Cientificas, para esclarecer el mecanismo fisiopatologico de la enfermedad de Parkinson. Esta es el segundo trastorno neurodegenerativo mas comun entre las personas mayores de 65 anos; esta condicionada por un sin numero de factores que precipitan su aparicion; el estres oxidativo se destaco como el mecanismo que precede a la muerte neuronal, las mutaciones geneticas en la sintesis de proteinas que reducen las respuestas antioxidantes de la celula, asi como la reduccion en la funcion del sistema ubiquitina proteosoma, e induccion de estres oxidativo por las especies de oxigeno reactivo y la acumulacion de radicales libres. Conclusiones: el enfoque multifactorial persiste como una opcion prometedora para entender la fisiopatologia de la enfermedad de Parkinson; la relacion que puede existir entre el estres oxidativo y la teoria prionica, presenta un nuevo panorama alrededor de un posible inicio de la enfermedad de Parkinson lejos del cerebro y la relacion factor de riesgo – estres oxidativo, es uno de los caminos que se pueden tomar para esclarecer el origen de esta enfermedad. EnglishObjetivo: to describe the association between oxidative stress and Parkinson’s disease. Development: a documentary review was carried out in Scientific Databases, to clarify the pathophysiological mechanism of Parkinson’s disease. This is the second most common neurodegenerative disorder among people over the age of 65; it is conditioned by a number of factors that precipitate its appearance; oxidative stress was highlighted as the mechanism that precedes neuronal death, genetic mutations in protein synthesis that reduce the antioxidant responses of the cell, as well as the reduction in the function of the ubiquitin proteasome system, and induction of oxidative stress by reactive oxygen species and the accumulation of free radicals. Conclusions: the multifactorial approach persists as a promising option to understand the pathophysiology of Parkinson’s disease; The relationship that may exist between oxidative stress and prion theory presents a new panorama around a possible onset of Parkinson’s disease away from the brain and the risk factor- oxidative stress relationship is one of the paths that can be taken. to clarify the origin of this disease.
CONTENT, FORMS, AND METHODS OF TRAINING PHD STUDENTS FOR WRITING AND IMPLEMENTATION OF A THESIS PAPER

Third education level: quality control over scientific-professional training of a PhD: individual issues : Collective monograph / edited by Myroslava Filipovych. Riga, Latvia : Izdevnieciba “Baltija Publishing”, 2021. 227 p.
Implementation of wheelchair controller using mouth and tongue gesture

In this paper, a simple human-machine interface allowing people with severe disabilities to control a motorized wheelchair using mouth and tongue gesture is presented. The development of the proposed system consist of three principal phases: the first phase is mouth detection which performed by using haar cascade to detect the face area and template matching to detect mouth and tongue gestures from the lower face region. The second phase is command extraction; it is carried by determining the mouth and tongue gesture commands according to the detected gesture, the time taken to execute the gestures, and the previous command which is stored in each frame. Finally, the gesture commands are sent to the wheelchair as instruction using the Bluetooth serial port. The hardware used for this project were: Laptop with USB webcam as a vision-based control unit, Bluetooth module to receive instructions comes from the vision control unit, standard joystick used in case of emergency, joystick emulator which delivers to the control board signals similar to the signals that are usually generated by the standard joystick, and ultrasonic sensors to provide safe navigation. The experimental results showed the success of the proposed control system based on mouth and tongue gestures.
MOBILE COMMUNICATION, UNEMPLOYMENT AND ARMED ROBBERY PORT HARCOURT METROPOLIS

The deregulation of the telecommunication sector in early 2000 by the government was a welcomed development to many Nigerians, because it made communication available to many Nigerians unlike the case under NITEL, and created employment opportunities for many people in both the public and private sectors of the economy. However, despite its tremendous benefits to the Nigerian economy, mobile phones have become easy tools in the hands criminal offenders to perpetrate heinous crimes. Availability of telecommunication, especially GSM and internet has made crimes such as armed robbery, kidnapping, terrorism, cyber stalking, internet fraud etc to be easier to commit. Many armed robbers and kidnappers use mobile phones to plan their operations. Also, it would have been extremely difficult for kidnappers to collect ransom from their victims’ families without the aid of mobile phones. The main objective of this research is to compare the changes in armed robbery trend prior to the introduction of mobile communication in 2001. Two hypotheses were raised and tested using Chi Square(X 2 ) and contingency coefficient (c-test). Using time series data on crime and unemployment in Port Harcourt, 2000-2010, we found that crime rates, especially armed robbery rates increased after the introduction of mobile communication in 2001.
The Capability in Pronouncing the English Final Consonant Clusters by the English Department Students, Faculty of Humanities, Udayana University

This study attempts to describe the ability of the English Department students, Faculty of Humanities, Udayana University in pronouncing English final consonant clusters. Consonant clusters are groups of consonants that can occur initia lly (onset) and finally (coda) in the syllable structure. The features of consonant clusters in each language are highly dependent on the language itself. In English, the number of consonants at the beginning of a syllable can be up to three such as: structure /strʌktʃə/, spring /sprIŋ/, while the number of consonants that forms a cluster in the coda can be up to four as in sixths /siksθs/, texts /teksθs/. While, Consonant clusters in Indonesian and Balinese as the mother tongue of students are very limited in number and only exist initially in the words. This difference, obviously, creates problems for students in pronouncing English words containing these consonant clusters The knowledge of the English sound system is taught in the English phonetic and phonemic course in the fifth semester at the English Department, Faculty of Humanities, Udayana University. This study examined the ability to pronounce consonant clusters by the second semester students who have not taken English Phonetic and Phonemic courses to be compared with student s who have taken the course, so that it can be seen to what extent the course can change students’ performance in pronouncing the consonant clusters. This research is descriptive qualitative research, supported by quantitative data. The research population was 20 second semester students and 20 sixth semester students randomly taken. The research instrument was a list of English words containing consonant clusters and questionnaires. The data collection technique was done through recording, and the data were analyzed descriptive qualitatively and presented formally and informally.
Improving students' vocabulary mastery through Short story reading technique at the second grade students in SMAN 2 Tumijajar

The aims of this study were to find out whether 1) short story reading technique is able to improve students’ vocabulary or not, 2) students’ perception towards the implementation of short story reading technique which has been stimulated during the treatments. The subject was second grade of SMAN 2 Tumijajar. Moreover, the designs used were quantitative analysis and descriptive qualitative which used vocabulary test and questionnaire as the instruments of the research. The data analysed by using Paired- Samples Test in order to know the students’ difference in vocabulary mastery. In addition, 7C’s Students’ Perception Questionnaire was used in order to analyse the students’ perception towards short story reading technique which has been stimulated during the treatments. The result of the research showed that the implementation of short story reading technique is able to improve students’ vocabulary mastery. It is determined after analysing the data using Paired-T Test, the significant (0.00) is lower than alpha level (0.05). It shows that there is significant difference of students’ vocabulary mastery results in both pre-test and post-test. In addition, the result of questionnaire shows that short story reading technique is an effective technique to improve students’ perception. The result of all aspects of 7C’s students’ perception is good, it indicates positive students’ perception of short story reading. Keywords: reading story, vocabulary mastery, short story, students’ perception.
Decentralized Robust Control of Robotic Manipulator in Joint Space Based on Torque Feedback

A decentralized robust control algorithm for robot joint space based on torque feedback is studied. The basic idea of the algorithm is to treat the robot linkage and joint driver as a module, a torque sensor is installed on the transmission shaft of the connecting module, and the coupling between the two dynamic chains bounded by the torque sensor is measured by the sensor In this way, the nonlinear coupling effect of the links from the joint to the end of the robot will no longer be seen in any joint dynamic equation of the robot, so that the design of the robot joint controller can be carried out relatively independently and decentrally. Using a torque sensor, the influence of external interference and gravity load can be integrated into the control loop in time, so the control system has a strong anti-interference ability. Theoretical analysis and simulation research show that the researched robot joint space distributed control system based on torque feedback has high robustness.
A Study of Digital Forensics with Machine Learning and Security Information and Event Management

Digital World, where electronic devices like computers, smart phones, tablets are increasing on a regular basis. Cybercrimes are also increasing at the same rate as the use of internet. Digital forensic, a branch of traditional forensic science has become an important aspect to deal with the challenges of digital world.  There are number of techniques and tools available for digital forensics investigation. In this paper, how Machine Learning algorithms and Security Information and Event Management framework can be used in digital forensics is discussed. Machine Learning can be used to analyse huge amount of data, in recognizing patterns. SIEM can be used for log collection, correlation of logs data, identifying the techniques and activities that are used by the criminal.  ML and SEIM both can be used to analyse previous historic data to predict the behaviour of the criminal.
An Advanced Study to Validate Synthesized Speech Parameterized by Cepstral Coefficients and LSP

This document presents the results obtained from different statistical norms to validate the quality of synthesized voices applied to an HTS-based spanish synthesizer. Two parameterizations were tried out: LSP and Cepstral Coefficients. Standard MOS tests were carried out. MUSHRA, ABX and CCR where also conducted to reinforce the MOS results. A SUS test was employed to verify intelligibility.
Text classification method based on Bi-LSTM+FE-Attention model

In order to solve the problem that the current text classification technology can not meet the needs of text data classification in professional fields, this paper proposes a text classification method based on Bi-LSTM+FE-Attention model for text classification of marine text data. This method can be integrated with web page data extraction function to realize automatic web page data extraction and classification. In order to realize the classification of marine text data with feature enhanced (Feature enhancement, FE), a dictionary of marine disciplines, including physical ocean, marine life, marine geology and marine chemistry, is established in this study. Subject. Methods firstly, the marine text data were input into Bi-LSTM model, and the marine text data classification with enhanced features was realized by combining the pre-generated text word weight with Attention mechanism. The experimental results show that this method can accurately classify the marine text data.
The Effect of Animated Transition in In-Vehicle Infotainment Systems on Satisfaction

Objective: The aim of this study is to investigate the effect of animated transitions on satisfaction for In-Vehicle Infotainment Systems (IVIS).<BR>Background: With the advent of autonomous vehicle technology, the autonomous driving era is fast approaching. Currently, a number of automobile manufacturing companies are providing screens linked to mobile phones in IVISs through a connected car service, and are spurring the development of a digital cockpit (expansion of the IVIS screen). The user experience with IVISs has become an increasingly important issue in the vehicle industry. However, a suitable graphical user interface (GUI) design or appropriate animated transition for IVIS screens is under development.<BR>Method: Forty Participants were asked to experience and evaluate 20 different animated transition effects (transition pattern x easing type x interval time) in 7-point Likert Scale for each condition. The post-interview was placed after the experiment.<BR>Results: The result indicated that there is significant difference in satisfaction according to the animated screen transition effect. The analysis showed that Fade pattern and Ease-Out are the best animated transition effects that can manage the delay under 1.0 millisecond and satisfy the users. Post-interview revealed that the interval time should not exceed 450ms.<BR>Conclusion: The most satisfactory animated transition effects and the animated transition effects that can manage the delay were derived.<BR>Application: The result will provide effective guidelines in the field of animated transition design of IVIS systems.
The Limitations and Legal Implications of Autonomous Organizations

This chapter outlines several ways that autonomous organizations will put pressure on existing law and will perhaps require accommodations from the law in the future. In particular, legal concepts like fraud that require “intent” may become less workable as more legal action is taken by systems that lack the capacity for intent. Moreover, if perpetually autonomous organizations become more commonplace, the law will need to pay attention to the possible drift between their initial operating agreements and future states of affairs, whether because of the possibility of “hacking” or simply because general circumstances have unexpectedly changed.
Book Review 1: Second language processing: An introduction

Yanqin Yang．Book Review 1: Second language processing: An introduction［J］．Language and Cognitive Science，2019，5（1）：125−132．
A Comparison of Different NMT Approaches to Low-Resource Dutch-Albanian Machine Translation

Low-resource languages can be understood as languages that are more scarce, less studied, less privileged, less commonly taught and for which there are less resources available (Singh, 2008; Cieri et al., 2016; Magueresse et al., 2020). Natural Language Processing (NLP) research and technology mainly focuses on those languages for which there are large data sets available. To illustrate differences in data availability: there are 6 million Wikipedia articles available for English, 2 million for Dutch, and merely 82 thousand for Albanian. The scarce data issue becomes increasingly apparent when large parallel data sets are required for applications such as Neural Machine Translation (NMT). In this work, we investigate to what extent translation between Albanian (SQ) and Dutch (NL) is possible comparing a one-to-one (SQ↔AL) model, a low-resource pivot-based approach (English (EN) as pivot) and a zero-shot translation (ZST) (Johnson et al., 2016; Mattoni et al., 2017) system. From our experiments, it results that the EN-pivot-model outperforms both the direct one-to-one and the ZST model. Since often, small amounts of parallel data are available for low-resource languages or settings, experiments were conducted using small sets of parallel NL↔SQ data. The ZST appeared to be the worst performing models. Even when the available parallel data (NL↔SQ) was added, i.e. in a few-shot setting (FST), it remained the worst performing system according to the automatic (BLEU and TER) and human evaluation.
MANAGEMENT OF THE EDUCATIONAL PROCESS

The methodology of building an information model for managing the educational process at school is considered. The educational process and the basic principles of managing such a process have been systematically analyzed (including the decomposition of goals by hierarchy levels and their operational monitoring for further objective management decisions, the role and methods of motivating participants). On the basis of the considered principles, an information model for managing the educational process is proposed, the key element of which is a system of operational testing of students' current knowledge and skills. Based on the test results, ratings are formed, which allow you to determine the degree of achievement of the set goals and to make objective management decisions in a timely manner. In addition, the results of the ratings are the basis for a motivation system for all participants in the process, aimed at stimulating their interests.
Detection of Hoax Spread in The Whatsapp Group with Lexicon Based and Naive Bayes Classification

Spreading hoax through WhatsApp social media can lead to different beliefs and can cause disputes for those affected. This paper proposes a hybrid model for finding hoaxes in the WhatsApp group using a combination of knowledge-based and machine learning approaches. This Hybrid model combines two methods namely Lexicon based and Naive Bayes Classifier which will be applied to the WhatsApp monitoring application. This research focuses on two main aspects namely word weighting using the lexicon based method and data classification using the Naive Bayes Classifier and Decision tree-j48 methods. The dataset used is conversation data that is crossed from the WhatsApp group. Based on the experiments that have been carried out, it is obtained the results of classification using Naive Bayes classifier of 86.670% data conversation not indicated hoaxes and 13.330% indicated hoaxes. The average value of the percentage of truth obtained more than 75%. The average value of the classification performance evaluation results in a precision value of 0.771, a recall value of 0.754, an F-measure value of 0.773
CONTENT BASED IMAGE RETRIEVAL METHOD WITH DISCRETE COSINE FEATURE EXTRACTION IN NATURAL IMAGES

Data or information at this time is not only presented in written form, but also in the form of images that require greater storage. Most of the images in the digital world use the JPEG format, where the Discrete Cosine Transform is the heart of the JPEG format, the use of DCT coefficients for indexing and image retrieval causes the retrieving process to be slower because more coefficients are processed compared to the DC coefficient method, which is only 1 /64 (1 DC coefficient) of the DCT coefficient. In this research, we perform Content Based Image Retrieval with DC feature extraction of 15,000 natural images, then calculate the distance between the images using the Manhattan Distance method. The final result of calculating precision and recall shows a value of 0.6624 and a time of less than 2 seconds, with a maximum value of 1.876 seconds.
On the Childhood Remembering Poems of Baek Seok Being Compared with Dylan Thomas or Seamus Heaney

Baek Seok is one of the most unique Korean poet in the colonial period, whose influence is still alive in Korean good poets. His most apparent character is the local features of Pyungando province in his poems. Many good customs of that province were written abundantly. We can read warm houses in which the family members stay up all night talking friendly or making food for the national holidays, where little Baek Seok was happy and satisfied. We can compare his poems with Dylan Thomas or Seamus Heaney centering around their remembering childhood. These two poets are famous of their childhood poems and we can observe some other view point on Baek Seok. He is near to Seamus Heaney than Dylan Thomas because his poems are realistic as Heaney is.
Security issues in wireless medical sensor networks

The healthcare data are of utmost importance which need to be maintained safely. The health records of the patients are very confidential and need periodical updates. The data are to be stored in an efficient and secure manner such that it ensures the privacy of the data. Thus the WSNs play a vital role in the medical field in increasing the services for maintaining healthcare. The application of the emerging technology such as blockchain enables drastic improvement in security services thereby enabling efficient healthcare services for effective treatment.
Towards Building a Responsible Data Economy

Data is a key driver of modern economy and AI/machine learning, however, a lot of this data is sensitive and handling the sensitive data has caused unprecedented challenges for both individuals and businesses. These challenges will only get more severe as we move forward in the digital era. In this talk, I will talk about technologies needed for responsible data use including secure computing, differential privacy, federated learning, as well as blockchain technologies for data rights, and how to combine privacy computing technologies and blockchain to building a platform for a responsible data economy, to enable more responsible use of data that maximizes social welfare & economic efficiency while protecting users' data rights and enable fair distribution of value created from data. I will also talk about new paradigms that this approach enables including decentralized data science and data DAO. I will also discuss new frameworks on data valuation.
Implementing a Language Server

In Chapter 2 , we discussed the Language Server Protocol and how it works. In this chapter, let’s look at how to implement a language server and what tools we need to implement it. When implementing a language server, it is not only the language features we need to focus on, but also we should have an underlying protocol implementation. As we discussed in Chapter 2 , the Language Server Protocol is implemented on top of the JSON-RPC protocol specification. Therefore, the server implementation has to be done along with the JSON-RPC protocol implementation. We will have a look into these in the coming sections of this chapter.
Genetic Deep Learning for Photonic Device Inverse Design

We demonstrate an inverse design method by combining deep neural networks and genetic optimization. The method significantly reduces the training data compared with existing methods. The method is adopted to design some ultra-compact photonic devices to show its high computing efficiency and great flexibility.