Reviewerly/exHarmony huggingface dataset:
Detection and characterization of microseismicity and its relation with fluids at the Irpinia Near Fault Observatory

&amp;lt;p&amp;gt;The Irpinia Near Fault Observatory (NFO) is an EPOS infrastructure located in the Campania-Lucania Region (Southern Italy). Its goal is to characterize the microseismicity and to understand the underlying chemical and physical processes occurring along the fault systems that can potentially generate large earthquakes in the area. The Irpinia NFO is currently composed of ISNet &amp;amp;#8211; Irpinia Seismic Network, with associated products and services. ISNet is a local network of 32 accelerometric, short-period and broad band stations, that cover the seismogenic areas related to the main earthquakes that occurred in the region in the last centuries, including the 23 November 1980 , Ms = 6.9 event. &amp;amp;#160;Also, ISNet provides real-time analysis and it represents the prototype network for the testing of early warning systems in Italy.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we present tools and techniques to accurately locate and characterize the seismicity within the Observatory. Accurate event detection of weak signals from small magnitude events is based on the coherence of arrival times and migration techniques. This method is then coupled with advanced picking and double differences techniques to accurately locate events with a sub-kilometric scale resolution. Source parameters are thus computed inverting the displacement amplitude spectrum, with a probabilistic approach based on the conjunction of states of information in the data and model spaces. This technique is able to automatically rule out unconstrained solutions, while accounting for correlation among parameters. Source location and characterization is here used to investigate the role of the fluids in the region embedding the fault systems; space and time changes in the medium properties or in the source parameters can be used to detect a deviation from the present mechanical state of the faults owing to changes in fluid pore pressure and migration.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Finally, local dense arrays are used here to improve our capability to detect events within the noise level and to move from a point-source to an extended source description of small events in the area.&amp;lt;/p&amp;gt;
An Interpretable Automated Machine Learning Credit Risk Model

Credit risk prediction is one of the most recurrent problems in the financial industry. While machine learning techniques such as Neural Networks can have a stunning power of prediction accuracy when done right, the results of such models are not easily interpretable and hence, are difficult to explain and to integrate into financial regulation. Building strong and robust models requires a high degree of expertise, time and testing, and as the list of the available model grows, their complexity also increases. This is why meta-heuristic search and optimization techniques are being built to tackle this task. However, this often means that such models may not be easily interpretable. This work proposes a fast, reproducible pipeline that targets these two salient needs: solid, comparable model-building and reliable interpretability. An automated machine learning process is implemented via Genetic Algorithms to obtain a locally optimal model for our data that is comparable to top Kagglers’ performance for the same classification problem and then, an interpretation engine is added on top to perform sanity checks on our results and identify the most important causals of prediction. This process greatly reduces time, cost and barrier of entry for model-building while providing the reasons for prediction, which can be easily contrasted with expert knowledge to check for correctness and extracting key insights.
Rancang Bangun Sistem Informasi Manajemen Skripsi Berbasis Web Menggunakan Model Waterfall

In this paper we will discuss the process of making a web-based thesis management. The author raises this theme because currently students often encounter problems with thesis writing which requires a lot of time and also requires a lot of paper for revision from the supervisor. Writing confirmation is very important for students in the process of making student writing, which will be assessed by supervisors where student creativity is seen in the later stages of the thesis writing process. The model that the author uses supports the System Life Development System (SDLC), namely the Waterfall Model (Waterfalls), which is expected to be easy in developing software (Software) at each stage that is done mutually supporting one another. Stages of work in this paper starts from gathering the source of the problem of the process of making student writing and finding a goal to facilitate students in communicating with the supervisor. With the management of this thesis it is hoped that it can be used as data in assisting students' writing, and making students not have to waste paper in the revisions of the supervisors.
A Note on the Occurrence of Hydrothermal Anhydrite (CaSO4) in Kanchankayi area, Bhima Basin, Yadgir District, Karnataka

Presence of hydrothermal anhydrite (CaSO 4 ) is identified from the brecciated limestone of Shahabad Formation of the Proterozoic Bhima basin, Northern Karnataka.This is specifically observed in the Kanchankayi area of Gogi-Kurlegere-Gundanhalli fault, Bhima basin.Microscopically the anhydrite is characteristised by high order interference colour and straight extinction.X-ray diffraction studies further confirmed the presence of anhydrite with characteristic set of dspacing of 4.6397Å (Intensity-60.71),3.4584 Å (56.76) and 2.7730 Å (23.22).Subherdal to anhedral grains of anhydrite occur within the veins of sparry calcite cutting across the primary micritic calcite in brecciated limestone.It is associated with calcite, barite pyrite and carbonaceous matter.Anhydrite is present in different habits viz.tabular/euhedral,stumpy and acicular.Occurrence of anhydrite grains is localised and is restricted to the epigenetic secondary calcite.This suggests it is of hydrothermal origin.
A new three-dimensional regularization for finite fault source inversions

&amp;lt;p&amp;gt;The earthquake rupture process is often represented by a source function that defines slip in space and time. If we assume slip to occur on a planar surface, then the source function becomes a function of three independent variables: two spatial dimensions (slip down-dip and slip along-strike) and one temporal dimension (source time function at each point on the fault). Finite fault inverse problems aim at exploring this model space in order to find the source function that generates synthetic ground motion that best fits the observed data. This inverse problem is severely ill-conditioned. In order both to ensure a regular solution and to avoid over-fitting the data, both physical and mathematical constraints can be imposed. &amp;amp;#160;Common methods of finite fault source inversion typically apply a one-dimensional regularization in time, which gives preference to&amp;amp;#160;compacted-support source-time functions, like triangular or trapezoidal functions in time, or to two-dimensional regularizations that ensure smooth variations of slip over the fault plane (Mai et. al, 2016). In this work, we propose an innovative three-dimensional regularization for kinematic source inversions in the frequency domain, which simultaneously requires smooth variations of slip over space (2D) and frequency (1D, smooth spectra) . This new three-dimensional regularization selects the spatial slip distributions that are more similar to those of neighboring frequencies, thus effectively transferring knowledge from one frequency to another. In the framework of Tikhonov regularization, having more than one regularization condition requires more than one damping factor to be inserted in the inversion misfit. Additionally, no orthogonal decomposition (like Generalized Singular Value Decomposition) exists when more than one regularization conditions are imposed. Thus, we investigate a new 3D regularization method using a Bayesian approach with a Markov Chain Monte Carlo (MCMC) simulation. The new method is tested using the SIV-inv1 benchmark exercise. The proposed method is also preliminarily applied to study the rupture process of the 2019 M5.9 Torkamanchay, Iran, earthquake.&amp;lt;/p&amp;gt;
Comparative Study Between RSA Algorithm and Its Variants: Inception to Date

RSA Public Key Cryptography (PKC) otherwise called asymmetric encryption, comprises of two keys known as public key and private key. While the sender utilizes receiver’s public key to encrypt the message, the receiver’s private key is utilized for decrypting the message, so there is no compelling reason to share a private key as in symmetric cryptography which requires sharing a private key. This paper means to investigate RSA and its variants, study its qualities and shortcomings, and propose inventive answers for conquer the shortcoming. RSA is extraordinary compared to other asymmetric key cryptographic algorithms in correspondence over systems.
Perancangan Aplikasi Latihan Pemahaman Materi Bahasa Baku dan Non Baku Menggunakan Metode Scoring System Berbasis Android

Nowadays, computer skills can be used in various fields to teach, provide information, and provide entertainment. Computers can also be used to assist in the teaching and learning process. To facilitate the delivery of material, it can be packaged attractively in the form of an Android-based application, which is educational and entertaining for students. The topic of this discussion is the design of an application to understand standard and non-standard language material comprehension exercises using the Android-based scoring system method. Where to use this application can help students in learning standard and non-standard language material that is computerized. Therefore, the authors apply the scoring system method to determine scores and categories in the assessment of standard and non-standard language material, there are three categories, namely unfavorable, good and very good. The purpose of this study was to design an Android-based application of standard and non-standard language materials, where the training score implementation used the scoring system method. This application will make it easier for students to learn standard and non-standard languages, because the application system is already in the form of android so that it adds attractiveness to students.
Demonstration of Quantum Walks in Periodic and Quasiperiodic Fibonacci Multicore Ring Fibers

We report for the first time the demonstration of quantum walks and localized quantum walks in periodic and quasiperiodic multicore ring fibers, respectively. Good agreement between theoretical and experimental results have been achieved.
Countermeasures of Attracting College Students to Start a Business and Build Talented Youth Cities—Taking Wuhan as an Example

The issue of college students' entrepreneurship and employment has always been a headache for the government. How to solve this problem is about social stability and people's happiness. And it's up to 89 colleges &amp; universities and 1.3 million college students in WuHan, the number of college students is at the forefront of the world's single cities, it's situation of college students' entrepreneurship and employment in Wuhan can reflect the employment and entrepreneurship of contemporary Chinese college students. So research team took Wuhan as an example. The phenomenon of "going away" is serious in Wuhan. In the past 5 years, less than 50% of Chinese students have been studying in the past five years. To solve this problem, the Wuhan government has launched the "Millions of College Students to Start Businesses and Employment Program" since the "Qingtong" project. The purpose is to enable millions of college students to "come in, go on, stay, and do" in Wuhan. Through field research and case interviews of universities such as Huazhong University of Science and Technology, Wuhan University and Wuhan University of Technology, this paper analyzes the status quo of college students' innovation and entrepreneurship, points out their problems, analyzes the causes, and finally puts forward four suggestions. Aim to make a small contribution to the innovation and entrepreneurship of millions of college students, and solve some problems for the innovative and entrepreneurial students.
Responsive Web Design Benefits

Responsive Design is a web design and development technique that helps to create a website that can be adjusted according to the users screen without ...
Perbandingan Mini Mental State Examination (MMSE) dan Clock Drawing Test (CDT) untuk Mendeteksi Disfungsi Kognitif pada Cedera Otak Traumatik Ringan dan Sedang

Latar Belakang dan Tujuan : Disfungsi kognitif sering terjadi pada pasien cedera otak traumatik (COT). Gangguan neuropsikologik yang disebabkan oleh cedera otak traumatik ringan dan sedang berupa penurunan kecepatan memproses informasi, gangguan perhatian, orientasi, dan fungsi eksekutif. Pemeriksaan disfungsi kognitif yang sering digunakan adalah Mini Mental State Examination (MMSE). Saat ini sedang dicari pemeriksaan lain yang lebih mudah dilakukan dan memiliki sensitifitas dan spesifisitas yang lebih baik, yaitu dengan Clock Drawing Test (CDT). Penelitian ini bertujuan membandingkan MMSE dan CDT dalam mendeteksi disfungsi kognitif pada COT ringan dan sedang. Subjek dan Metode : Penelitian menggunakan observasi analitik cross sectional, dilakukan di Rumah Sakit Dr. Hasan Sadikin (RSHS) Bandung pada bulan Januari hingga April 2018. Pasien dibagi menjadi kelompok COT ringan (n=16) dan sedang (n=16) yang masing-masing dilakukan pemeriksaan MMSE dan CDT. Hasil : Dengan nilai cut-off MMSE 26,5 didapatkan sensitivitas 93,8% dan nilai spesifisitas 81,3%, sedangkan menggunakan nilai cut-off CDT 2,5 didapatkan sensitifitas dan spesifisitas CDT 100%. Simpulan : CDT memiliki sensitivitas dan spesifisitas yang lebih baik untuk mendeteksi disfungsi kognitif pada COT ringan dan sedang. Comparison of Mini Mental State Examination (MMSE) and Clock Drawing Test (CDT) on Detecting Cognitive Dysfunction on Mild and Moderate Traumatic Brain Injury Abstract Background and Objective : Cognitive dysfunction often found in Traumatic Brain Injury (TBI). TBI can triggers neurophysicological, such as slower information processing, attention deficit, orientation disturbance, and executive function. There are methods to evaluate cognitive dysfunction, but none are showing 100% sensitivity and specificity. The frequently used method is Mini Mental State Examination (MMSE). Currently, other examinations are being sought that are easier to do and have better sensitivity and specificity, namely the Clock Drawing Test (CDT). This study is aimed to compare MMSE and CDT to detect cognitive dysfunction in Mild and Moderate TBI. Subject and Method : This study is using analytical observation and cross-sectional study design, it was held in Hasan Sadikin Hospital Bandung throughout January 2017 to April 2018. Subjects are divided into Mild TBI group (n=16) and Moderate TBI group (n=16), both groups were given MMSE and CDT. Result : Using cut-off point 26,5 for MMSE the sensitivity and specificity are 93.8% and 81.3%, while CDT achieved 100% sensitivity and specificity. Conclusion : CDT has a better sensitivity and specificity on detecting cognitive dysfunction in Mild and Moderate TBI.
An Efficient Batch Verification Scheme for Secure Vehicular Communication Using Bilinear Pairings

Vehicle-to-vehicle (V-to-V) communication is an emerging technology for sensing and collecting issues related to traffic. This method revolutionises the traffic control system and human driving experience. At the same time, there is main security concern in the validation of source of messages. In this communication, verification of information is very important to avoid any malicious attack and resource abuse. Some literature used cryptographic primitives like identity-based encryption (IBE) and signatures to accomplish this need. These primitives use the mathematical function bilinear pairings. We propose a similar scheme for authenticated key agreement with the vehicles and roadside unit (RSU) using vector decomposition problem (VDP) which reduces data exchange traffic considerably. The proposed method supports batch verification.
RANCANG BANGUN SISTEM INFORMASI PEMBELIAN PADA CV.CIMANGGIS JAYA DEPOK

Today the rapid development of information technology has a very important role for any company in preparing and processing data. Computer information technology of a set consisting of hardware and software for data processing which can provide any information required and will increase effectiveness, productivity, and efficiency of a company. CV. Cimanggis Jaya is a company range in the field of repair and maintenance services and trading motor vehicle spare parts of motorcycles and cars. In the purchase, calculation of purchases is manually so it can cause the occurrence of human errors. In search and checking data items takes a long time so it is not effective, and if the employee wants to make a purchase report often occur errors. These problems can be avoided by using a computerized system, by making a purchase application program that can speed in completing the work and the company produced accurate data at a faster time.
The Solution of Huawei Cloud &amp; Noah’s Ark Lab to the NLPCC-2020 Challenge: Light Pre-Training Chinese Language Model for NLP Task

Pre-trained language models have achieved great success in natural language processing. However, they are difficult to be deployed on resource-restricted devices because of the expensive computation. This paper introduces our solution to the Natural Language Processing and Chinese Computing (NLPCC) challenge of Light Pre-Training Chinese Language Model for the Natural Language Processing (http://tcci.ccf.org.cn/conference/2020/) (https://www.cluebenchmarks.com/NLPCC.html). The proposed solution uses a state-of-the-art method of BERT knowledge distillation (TinyBERT) with an advanced Chinese pre-trained language model (NEZHA) as the teacher model, which is dubbed as TinyNEZHA. In addition, we introduce some effective techniques in the fine-tuning stage to boost the performances of TinyNEZHA. In the official evaluation of NLPCC-2020 challenge, TinyNEZHA achieves a score of 77.71, ranking 1st place among all the participating teams. Compared with the BERT-base, TinyNEZHA obtains almost the same results while being 9× smaller and 8× faster on inference.
MEMBANGUN PENDIDIKAN KARAKTER ANAK MENGGUNAKAN PEMBELAJARAN SASTRA

Abstract : Literature learning with its relation to character learning plays a significant role. This is because literature essentially includes various values of life and life related to the formation of children's character. Literature in children's education plays a role in developing language, developing cognitive, affective, psychomotor, developing personality, and developing social personalities. Literature as a learning medium can be used receptively (accepting) and expressiveness (ability to express) in character education. Good literary work and contains values that guide students to become good people. Its application in learning, namely the teacher directs students to be able to find positive values from the literature that is read, then applies them in everyday life. Students can learn related to aspects of character, character and behavior, polite speech, and examples of life that must be passed with strong character. Keywords: literature, character, character education
Facilitating Secure and Efficient Health Information Exchange using Blockchain

In traditional health information exchange activities in India, most patient i.e. end user data is sharedeither through paper records or verbally. Transfer of patients between different hospitals across the countryensues a transfer of medical information, which due to the above modes of transfer can get damaged or be onlypartially communicated. Even though the above model allows low-cost and confidential mode of data sharing,the paradigm increase in medical data over the years and the importance of accuracy in the transfer of suchinformation, requires for a similar low-cost, confidential as well as a secure and decentralized system formedical record sharing. This paper proposes a blockchain-enabled ecosystem enabled with interplanetary filesystem (IPFS) to surpass this challenge. We put forward an amalgamation of technologies primarily involvingsmart contracts, to maintain a safe channel of medical records between the patients and healthcare providers.Ethtereum blockchain is used to build a prototype of a mobile application available to both users and healthcareproviders. Moreover, the deployment of data analytical models will allow for better pharmaceutical activities tobe better directed, and will also facilitate preventive measures. The system evaluation provides compellingevidence towards the improvements in data transfer accuracy and security facilitated by the use of smartcontracts.
Image Processing in Face Recognition Attendance System

The uniqueness or individuality of a person's face is the example of 1’s identification. On this project face of a person is used for the cause of attendance making robotically. Attendance of the pupil could be very essential for every college, university, and college. Conventional methodology for taking attendance is by calling the call or roll a wide variety of the scholar and the attendance is recorded. Time intake for this motive is an essential point of issue. Assume that the duration for one problem is spherical 60 minutes or 1 hour and to document attendance takes 5 to 10 mins. For each show, this is the consumption of time. To live some distance from these losses, an automatic approach is used on this undertaking this is based mostly on photograph processing. In this venture face detection and face recognition are used. Face detection is used to locate the location of face vicinity and face recognition is used for marking the understudy’s attendance. The database of all of the college students inside the magnificence is stored and whilst the face of the character pupil fits with one of the faces stored in the database then the attendance is recorded. Keywords: Face recognition, biometric technique, RFID system. Feasibility structure, Economic feasibility.
المسؤولية الجنائية عن جرائم التحرش الجنسي الإلكتروني

New unfamiliar criminal patterns have recently appeared due to economic, societal and cultural transformations that have engulfed modern life. This style of crimes is manifested by cybercrimes which began to constitute a serious danger on individuals and their privacies. Modern technology has become a tool to violate law. It has been harnessed to make data loss, breach of ethics and decency or incitement to commit criminal acts. This invasive advancement of technology has significantly contributed to globalizing this novel criminal patterns, which give rise to complex problems in the absence of adequate criminal laws to counter such crimes and to accommodate this modern technology.
Eye Movements as a Key in Cognitive Authentication Protocols

This paper presents new application of eye tracking devices oriented for creation of secure authentication protocols with visual CAPTCHA codes. Many classes of visual CAPTCHA can require specific information, knowledge or even high perception abilities for proper selection of visual parts during authentication procedure. In such procedures we can use contactless interfaces like eye tracking devices for indicating selected CAPTCHA parts. Application of such technologies allow to trace the points of attention, which users can focus on proper elements in required order, necessary for successful authentication.