Reviewerly/exHarmony huggingface dataset:
Outside detection and GIS for geological phenomenon endangerment synthesis

Beforehand in improbable detection engineering and new artificial satellite political platform so much as ALOS detector widened the applicatory postulation of artificial satellite information.Cardinal of the many a William Claude Lee-Enfield that Behauptung practical application subject area can be practical is to authorise inundation geological phenomenon models.For a drawn-out instance geological phenomenon property from geological phenomenon torrent models were valid using the Serra confirmación truth summary which was non selfsame more than tried and true.Government department of Cataclysm Management was ductile in 2006 and subordinate its prevue the Adversity Social control Central Acts of the Apostles as the coordinative organic structure of Catastrophe Liberation Negociate works in Sri Lanka.Since in flood is the to the advanced property frequent stagestruck hard sound DMC has been concentration its basic cognitive process to Earth science physical process Endangerment Correspondence as one of the precedency labor to be completed.Those component importance the unimportance of apologize geological phenomenon concomitant anatomical structure in Yalu-Ganga Stream.At latter-day constitution measures are not appropriate in that undertaking due to the interrogation of property of such measures.To the highest degree of the example non-structural measures like inundation prognostication, comely early discourage and administration consciousness programs among the geological phenomenon stricken world organization etc., containerful be very trenchant.Molding of water parting with modern-day practical application shuffle this effortless.Matter-of-fact practical application of GIS and improbable sensing engineering to correspondence geological phenomenon region will brand it easy to programme non knowledge measures which trim the alluvion indemnification and endangerment participating.
A survey on big data processing: A case of jpeg 2000-image compression

Big Data is actually the current big thing in computing as the quantity of computing data generated in the globe is growing exponentially from dissimilar areas for diverse causes.This survey presents firstly an overview of Big Data history, paradigms, and characterizations.Secondly, the technologies associated with Big Data processing.A case study of JPEG-2000 image compression is presented through simulations to underscore the importance of data compression in big-data processing.Finally the challenges faced in Big Data processing forms the basis of future research.
Predicting early review ratings for product marketing in E-commerce websites

The level of buying items by the client has been expanded definitely through web.Clients even have the office of sharing their musings about the specific item on web as surveys, web journals, remarks and so on.Various customers read overview information given on web to take decisions for buying things.A couple of customers may give the reviews for working up the closeout of the thing or to lessen the arrangement.This may frustrate the customers who rely upon the reviews to buy a thing.Right now, is a need to find the authentic reviews and remove fake overviews that are incorporated by harmful or blackmail customer.The proposed system thinks about the response for this issue.Driving events has been used to find the time interval between the reviews.The proposed system mines the dynamic time spans, for instance, driving meetings to accurately locate the dynamic coercion.These driving meetings can be useful for perceiving the close by eccentricity instead of overall variation from the norm of thing studies.After this to separate the rating, reviews and movement of the thing we investigate three convictions, they are evaluating based facts, overview based real factors and chain of significance sureness's.Similarly, we propose a streamlining based assortment method to fuse all of the sureness's for deception area.The appraisals of this progression are done on made dataset that are assembled.The arranged and dense thing review information causes web customers to understand overview substance successfully in a brief time span.
A review on keyword search for secure cloud storage with multi-server public key encryption

Searchable encryption is increasing interest for protecting the data privacy in secure searchable cloud storage.The security of a well-known cryptographic primitive, namely, public key encryption with keyword search (PEKS) which is very useful in many applications of cloud storage.Shockingly, it has been demonstrated that the customary PEKS structure experiences an inborn uncertainty called inside catchphrase speculating assault (KGA) propelled by the vindictive server.To address this security helplessness, to manage this security shortcoming, we will in general propose a being born PEKS framework named twofold server PEKS (DS-PEKS).As another rule responsibility, we will in general portray a beginning variety of the agile projective hash limits (SPHFs) insinuated as immediate and Homomorphic SPHF (LH-SPHF).We tend to around then show a dull advancement of secure DS-PEKS from LH-SPHF.To stipulate the opportunity of our initial framework, we will in general offer a decent portrayal of the last structure from a determination Diffie-Hellman-predicated LH-SPHF and exhibit that it will achieve the lively protection from inside the KGA.
Pelatihan Pembuatan Teks Pidato Dan Berpidato Pada Siswa Kelas XII Smk Semesta Bumiayu

Speech is the expression of ideas from one person to another with oral delivery techniques. Someone who is good at speaking or giving speeches will easily be able to master the masses, and successfully market his ideas so that they can be accepted by others. Community service activities at Semesta Bumiayu Vocational School are aimed at: 1) providing knowledge in writing speech texts according to systematics, 2) providing knowledge about language rules, 3) and training in reading speech texts well. the implementation methods used in this service are: 1) lecture method, intended to deliver speech text training materials, 2) dialogic method, intended for question and answer and discussion about how to make speech texts using good and correct Indonesian, 3 ) training methods, intended to instill the skills and speaking skills using good and correct language. The training in writing speech texts and giving speeches in community service consists of three steps. The first step students get speech text material, the material delivered is the structure of the speech text. The second step students exercise to make the text of the speech, while the steps to compile the speech text: 1) Determine the theme, 2) Determine the purpose and purpose of the contents of the speech, 3) Gather material, 4) Making a framework, then developed into a complete speech script. The third step of the practice of giving speeches, when there are several obstacles encountered, one of them is lack of confidence, and not calm in reading the text of the speech, this is very reasonable because students rarely speak in public. To overcome this, regular training should be needed, so that students' confidence grows and improves properly.
A novel task scheduling algorithm with improved make span based on prediction of tasks computation time algorithm for cloud computing

prediction of tasks computation time algorithm for cloud computing
A privacy preserving of location proof updates through stamp

Area based administrations are rapidly winding up massively mainstream.Notwithstanding administrations dependent on clients' present area, numerous potential administrations depend on clients' area history, or on the other hand their spatial-transient provenance.Poisonous customers may lie about their spatial-transient provenance without a definitely arranged security structure for customers to exhibit their past zones.Right now, present the Spatial-Temporal provenance Assurance with Mutual Proofs (STAMP) contrive.STAMP is expected for extraordinarily delegated flexible customers making zone proofs for each other in a passed-on setting.In any case, it can without a lot of a stretch oblige trusted in adaptable customers and remote ways.STAMP ensures the uprightness and non-transferability of the zone proofs and makes sure about customers' assurance.A semi-trusted in Certification Authority is used to proper cryptographic keys and moreover watch customers against understanding by a light-weight entropy-based trust evaluation approach.Our model utilization on the Android organize exhibits that STAMP is ease similar to computational and limit resources.Wide diversion tests exhibit that our entropy-based trust show can achieve high understanding distinguishing proof precision.
A novel symmetric searchable encryption scheme for string identification in cloud computing

In this paper, we initially give a productive and simple to-actualize symmetric accessible encryption conspire (SSE) for string search, unlike past plans, we use hash affixing rather than chain of encryption activities for record age, which makes it reasonable for lightweight applications.Here it's first to propose probabilistic trapdoors in SSE for string search.We give solid evidence of non-versatile security of our plan against genuine yet inquisitive server dependent on the definitions.Here additionally present another idea of search design protection, which gives a proportion of protection from the spillage from trapdoor.I have demonstrated that our plan is secure under inquiry design in noticeability definition.I show why SSE conspire for string search can't achieve versatile in noticeability criteria as referenced and furthermore propose adjustments of our plan with the goal that the plan can be utilized against dynamic foes at the expense of more adjusts of correspondences and memory space.
Online SPAMAST graduate tracer study in multiple platform

The project was developed with intuitive interface and factual information.The system provided data for the employability of the graduates.The system was implemented as Web-Based design.The system manipulated data from graduates' personal information, educational background, trainings for advanced studies and employment data.Data were generated by employment status that supported appropriate graph by employment category, agency category, year and course.The whole development provided tools and techniques including multiple platform approach with the support of web hosting, bootstrap as CSS-Based design, and PHP that embed HTML and XAMP.Graphical user interface, system functionalities and software environments performed effectively.The study concluded that using Online SPAMAST Graduate Tracer Study in Multiple Platform was less hassle than using the manual process of collecting data and providing employability results of the graduates.Based from the testing phase, the system was given a commutative mean of 4.56 which favored a positive response from fifty (50) respondents.Moreover, the project indicates high return hence promotes successful browsing and convenience.Generally, the project was successful and ready for utilization especially in SPAMAST Digos Campus.
Bindings Summer 2019

Anticipating changes in our environment. To aid researchers and students whose work will help society navigate the coming challenges and opportunities, the UI Libraries offers access to information that shows where we’ve been, where we are, and where we’re going. Our catalogers think deeply about evolving societal views and how that evolution is reflected in our online cataloging practices. We help citizens respond to climate change; our librarians teach students about fake news; we bring literature to the public with new technology; and we assist first-generation students.
Application of Nanotechnology for Development of Latent Lip Prints: A Review

The forensic science is the scientific approach to identify these existing identities. From the beginning of the civilization, identification of a person uses to be an integral part of various legal and cultural activities. Forensic science is used not only to identify the criminal but also to solve the hidden mysteries of the past. With the modernization of the society, the need of personal identification also became an integral part of forensic sciences, weather its recording fingerprints for biometric attendance or dental records for estimation of age.
A Chvátal-Erdős type theorem for path-connectivity

For a graph G, let κ(G) and α(G) be the connectivity and independence number of G, respectively.A well-known theorem of Chvátal and Erdős says that if G is a graph of order n with κ(G) > α(G), then G is Hamiltonconnected.In this paper, we prove the following Chvátal-Erdős type theorem: if G is a k-connected graph, k ≥ 2, of order n with independence number α, then each pair of distinct vertices of G is joined by a Hamiltonian path or a path of length at least (k -1) max n+α-k α , n+2α-2k+1 α .Examples show that this result is best possible.We also strength it in terms of subgraphs.
RAISE: A Resilient Anonymous Information Sharing Environment

With the widespread application of cloud computing and network virtualization technologies, more and more enterprise applications are directly deployed in the cloud.However, the traditional TCP/IP network transmission model does not fully consider the information security issues caused by the uncontrollable internet environment.Network security communication solutions represented by encrypted virtual private networks (VPN) are facing multiple security threats.In fact, during the communication process, the user application needs to protect not only the content of the communication but also the behavior of the communication, such as the communication relationship, the communication protocol, and so on.Inspired by blockchain and software-defined networking technology, this paper proposes a resilient anonymous information sharing environment, RAISE.The RAISE system consists of user agents, a core switching network and a control cluster based on a consortium blockchain.User agents are responsible for segmenting, encrypting, and encapsulating user traffic.The core switching network forwards user traffic according to the rules issued by the controller, and the controller dynamically calculates the forwarding rules according to the security policy.Different from onion routing technology, RAISE adopts the controller to replace the onion routing model, which effectively overcomes the uncontrollability of nodes.The dispersed computing model is introduced to replace the TCP/IP pipeline transmission models, which overcomes the problems of anti-tracking and traffic hijacking that cannot be solved by VPNs.We propose a blockchain control plane framework, design the desired consensus algorithm and deploy a RAISE system consisting of 150 nodes in an internet environment.The experimental results show that the use of blockchain technology can effectively improve the reliability and security of the control plane.While maintaining high-performance network transmission, it further provides network communication security.
PEMBINAAN PERSIAPAN AKREDITASI RA PADA GURU RA LABSCHOL IAIS SAMBAS

This coaching activity ia carried out so that managers and teachers of the RA Labscgool IAIS Sambas institution are able to meet the standards in submitting RA labschool IAIS Sambas accreditation documents. The targers of this activity are 1) the institutin is able to analyze the document needed at the time of accreditation; 2) the institution is able to prepare accreditation documents; 3) institutions are able to apply for accreditation through the SISPENA application. The method used is coaching for a least one month to explain the documents related to the eight standars. The final stage is compiling the documents required for accreditation. This community service activity is able to provide a concrete picture regarding the ipmplementation of RA accreditation and its stages.
Virtual reality for biochemistry education: the cellular factory

Abstract Virtual Reality (VR) involves the coupling of visual communication hardware and software. The technology is capable of offering transformative educational practice and is increasingly being adopted within the biochemistry domain to better understand complex biochemical processes. This article documents a pilot study for the efficacy of VR in biochemistry education at undergraduate university level, focusing on the citric acid cycle: a central process for extracting energy in most cellular life forms. 10 participants were equipped with a VR headset and electrodermal activity (EDA) sensors, then immersed within a digital environment where they were able to learn the 8 main steps of the citric acid cycle within a virtual lab by completing 8 levels of activity. Post and pre surveys were taken, along with EDA readings throughout the students’ interaction with VR. Research findings support the hypothesis that VR increase students’ understanding, particularly if students feel engaged, stimulated and intend to use the technology. Moreover, EDA analysis indicated that the majority of participants demonstrate enhanced engagement in the education-based VR-experience as measured by elevated levels of skin conductance, a marker for autonomic arousal and a measure of engagement in an activity.
The Effect of Variation of Corn Comb Fiber Composition on The Physical Properties of Biofoam with The Addition of Aerogel Silica

Styrofoam has many negative impacts because it harms health, pollutes the environment, and cannot decompose in nature. Efforts have been made to develop biofoam derived from natural kinds of stuff to reduce the harmful effects of styrofoam. So that they are safer and do not pollute the environment. Biofoam in this study was made from tapioca starch, corncob fiber, a binding polymer in the form of Polyvinyl Alcohol (PVA), and a superhydrophobic agent in the form of silica aerogel. This research was conducted to determine the effect of variations in the composition of corncob fiber on the physical properties of biofoam with the addition of silica aerogel. The production of corncob fiber was carried out in two stages, namely using 10% NaOH to remove lignin and bleaching using 10% H2O2 to bleach the fibers, which were then combined into the biofoam mixture. The production of biofoam used the thermopressing method with a temperature of 150° and pressed for 4 minutes with fiber variations of 13.75g, 16.25g, 18.75g, and 21.25g. Add conclusion of the research is 18.75 g of fiber with a water absorption value of (1.2 ± 0.2)%, a density of (0.5 ± 0.1)g/cm3, and a compressive strength of 3.60 MPa.
New Management Standard for Digital Data Protection Using A PDCA Model Anchored to ISO/IEC 27001 and R.A. 10173

ICT security has proven to be important in any organization in dealing with digital data. In implementing data protection, there are several challenges that an organization may encounter such as employee’s lack of awareness and education, cybersecurity threats, data breaches, lack of technical infrastructure, and limited resources. To combat internal security threats and encourage employees' security habits every agency, in the different sectors of the government must practice and promote data protection awareness against cybercrimes. To improve the security posture of every public or private organization in the Philippines. This study looked at a newly suggested security management standard that offers a thorough framework for detecting and evaluating risks to ICT (information and communication technology) systems and applications. The proposed standard strongly emphasizes the necessity of ongoing security control monitoring and assessment, frequent recovery plan testing and evaluation, and compliance with the PDCA Model anchored to the ISO/IEC 27001 standard and the Data Privacy Act of 2012. The study examined the suggested standard's main aspects and potential business advantages, including security, compliance, and stakeholder coordination and communication as well as emphasized the difficulties in implementing the suggested standard, including the requirement for significant resources and knowledge. The proposed standard also provides a common language for communication and collaboration among stakeholders, including I.T. staff, business leaders, and external partners. This can help promote a security culture and ensure everyone in the organization works together towards a common goal.
Improving student learning outcomes through the use of Jigsaw learning

The research aims to apply jigsaw cooperative learning to improve student learning outcomes in the eighth grade of SMPN 10 Anggori Manokwari. This research is classroom action research. The research subjects were 36 students. Data were collected using learning achievement tests and observation sheets. The results showed that the students who were deaf in cycle I was 47.22% and experienced an increase in cycle II of 91.67%. This study concludes that applying the jigsaw cooperative learning model can improve student learning outcomes.
DOG BREED IDENTIFICATION USING DEEP LEARNING

The aim of this project is to develop a deep learning model to recognize different cats from images.The proposed model uses a convolutional neural network (CNN) to extract relevant features from the input images and classify them according to specific dogs.The materials used for this project include numerous photographs of different dog breeds.The model was trained using transfer learning, where a pre-trained CNN was used as a starting point and fine-tuned for reproductive information.Evaluate model performance using various metrics such as accuracy, precision, recall, and F1 score.The results show that the proposed model is accurate in identifying dogs of various breeds and demonstrates its potential for practical applications such as animal identification, breeding and research pedigrees.
New Structural and Semantic Transformation of Relational Databases to MongoDB

Currently, data and its exploitation play a very important role in the life of individuals and organizations, without forgetting that through data management tools these organizations store their data history, which guides them at the operational and strategic levels. Considering the explosion of data at huge sizes, the old relational system has several shortcomings in managing this information, which justifies the need for data migration to NoSQL systems, which manage BigData efficiently. In this sense, this article fits to find a new transformation of relational databases to MongoDB, as a wellchosen NoSQL system for this transformation. This article presents the problem of this transformation, so that it can be discussed based on related works, then enlightened by presenting the storage philosophy and the semantics of the two systems source and destination of this transformation, which will be chained by our approach which defining a set of transformation rules to keep the same data and advantages of relational systems under a structure adequate to the concept of MongoDB and finally our conclusion of this work.
An Investigation into Reading Strategies Employed by Students for Comprehending Exposition Texts

This research aimed at identifying the types of reading strategies students employ to absorb exposition text. This study employed a qualitative descriptive approach. The research focused on eleventh-grade students at SMA Negeri 1 Lhokseumwe. Using the snowball nonprobability technique, the researcher selected eight students or respondents as research subjects. Data collecting procedures were surveys and interviews. The data analysis technique used data condensation, data display, and data verification/conclusion. According to an analysis of eleventh-grade students' reading comprehension statistics, problem-solving reading strategies were most frequently utilized to comprehend expository content. Students in the eleventh grade at SMA Negeri 1 Lhokseumawe utilized the problem-solving reading strategy to comprehend the expository text.