Reviewerly/exHarmony huggingface dataset:
Digitalised Invention, Decentralised Patent System: The Impact of Blockchain and Artificial Intelligence on the Patent Prosecution

Throughout the history of patent law, the manner of representation of invention influenced the process of the patent office in prosecuting them. This chapter traces how changes in the representation of the invention — from material to textual to digital — transformed patent prosecution. Early inventions were represented by working models, the materialised invention that needed little or no examination by the patent office, as they were the inventions themselves. Substantive examination became necessary when the representation of the invention shifted from material to textual, the point in history where the invention became textualised and represented by the patent specification, the written document that encompassed the invention. The textualised invention apart from effecting critical changes in patent prosecution, centralised the operations of the patent office. With the adoption of new technologies like blockchain and Artificial Intelligence, the manner of representation of invention will undergo yet another change resulting in the further evolution of patent prosecution. Like digital photography which changed the representation of images by radically changing the backend process, the digitalised invention will change the backend process of the patent office, i.e. patent prosecution. The most significant systemic consequence of the digitalisation of the invention will be the decentralisation of patent system.
Networked Surveillance for Good? A Perception Study on Blockchain-Based Supply Chain Transparency

The purpose of this study is to investigate the controversial Janus-face of surveillance in the form of distributed ledger technology (DLT) and blockchain-based product identifiers within the Swiss luxury watch industry. We propose the concept of “networked surveillance,” as a form of supply chain transparency, to address the currently under-researched novelty of DLT within the luxury watch context. In this exploratory study, an inductive approach to collecting and analyzing data is applied to gain insights into luxury watch experts’ perceptions of the disruptive potential of DLT, against the background of current industry trends and challenges. The findings from a survey and in-depth expert interviews indicate salient industry challenges, along with four major themes that are characteristic for ongoing industry transformations: (1) new, younger consumer generations are becoming increasingly important; (2) higher standards with respect to quality, as well as ethical and sustainable product attributes are demanded; (3) personalization beyond the physical product is moving center stage, along with (4) digitalization and innovation. Building on these findings, the offered contribution highlights networked surveillance as a concept for digital transparency that goes beyond dichotomies of the surveillance concept. Networked surveillance can thereby inform an ethical luxury industry, with benefits of learning and control in three key areas: 1) black markets and counterfeits, (2) CSR standards and supply chains, (3) and personalization beyond physical products, toward virtual luxury identities. Keywords: Networked surveillance, Janus-faced, distributed ledger technology, ethical luxury, supply chain transparency, Swiss luxury watch industry, inductive study
Analisa Dampak Aliran Sungai Terhadap Banjir di Kawasan Pemukiman Brang Bara Kabupaten Sumbawa

Flooding is a problem which until now still needs special handling from the government and the community, the maximum average rainfall in Sumbawa sub-district in 2011 was higher than flood conditions while in 2017 the conditions were lower. Hydrological analysis method obtained value of rainfall intensity for a period of 10 years with a duration of five minutes obtained a figure of 219.872 mm and the results of the design flood calculation with a 25-year return period obtained of 865,925 m3 / second. embankment planning for Mitigation efforts in reducing flood problems on the banks of the Brang Bara river can be done re-planning the flood embankment by raising the embankment, making revetment on the cliffs on the left side of the river so that it is not easy to landslides and river normalization. The results of the study prove that the cause of the flooding is not only from large water discharges but also the increase in the number of residents which causes an increase in the volume of waste dumped into the river, the increase in sedimentation obtained causes the river's capacity to decrease.
RESPONS MAHASISWA FAKULTAS PERTANIAN UNIVERSITAS GADJAH MADA TERHADAP APLIKASI DESA APPS

applications on smartphones are functions that are made to facilitate human activities. Nowadays, many applications are used as sources of information, including in agriculture. One application that is a source of agricultural information is Desa Apps. Research on the response of UGM Faculty of Agriculture students to the Desa Apps Application was made with the aim of knowing: 1) Students of Faculty of Agriculture UGM responses towards Desa Apps Applications, 2) Factors that affect students of Faculty of Agriculture UGM responses towards Desa Apps Applications. The method used in this research is descriptive analysis method. Sampling of respondent students was done by simple random sampling. The total sample is 60 students, 12 students from each department. The analytical method used is the proportion test and multiple linear regression analysis with the Backward method. The results of the study show that most students have a good response to the Desa Apps Application. Student motivation has a positive effect, the quality of information has a positive effect, and the completeness of features has a positive effect. The significance value of the motivation factor is 0.073 with a regression coefficient of 0.168, the significance value of the information quality factor is 0.003, with the regression coefficient of 0.353, the significance value of the feature completeness factor is 0.044 with the regression coefficient of 0.191&lt;em&gt;.&lt;/em&gt;
LibGuides: Fluid Power: Search Tips & Example Articles

Research resources, tips, and support from SCC librarians For APLED 121 students and others
GDP Movements in High and Moderate HDI Economies: An Empirical Investigation

Economists worldwide acknowledge the estimation and implications of Gross Domestic Product (GDP) and Human Development Index (HDI) as a measure of development across the globe. The analysis of GDP and its various components are still useful in order to observe the financial scenario of the economy. Since GDP does not include the various relevant components of socio-economic and environmental activities, it also does not reveal the real picture of economic progress. Several efforts have been made by economists worldwide to quantify better indicators of wellbeing. The Human Development Report, 1996, pioneered the casual relationship between economic growth and human development. There is a usual relationship between these two, because economic growth creates the basis for human development via providing financial benefits or monetary gains to the economy, provided that the formulation of rational policies and their implementation are appropriately executed.&#x0D; This study tries to synthesize economic growth and human development. The research employs Spearman rank correlation and Logistic regression of high and middle human development countries across 1990 to 2017, to determine the association mentioned above. The data is from the UNDP database and various reports and articles related to human development and economic growth.Policy implication is useful.
Comparing the Effect of Nutritional Booklets and Social Media on Knowledge and Consumption of Fattening Foods among Adolescents in Surakarta, Indonesia

Background: Adolescents would like to search for information about various foods before consumption via social media such as Facebook and Instagram too. This study was undertaken to determine the effect of nutritional booklets on knowledge and consumption of fattening foods among adolescents of Surakarta, Indonesia.Methods: This study analyzed the effect of nutritional booklets and social media on knowledge and consumption of fattening-foods among adolescents. In a quasi experiment using nonequivalent control group during a period of 30 days, three high schools of 1st, 3rd, and 5th grade in Surakarta, indonesia were enrolled including 34, 33 and 29 students,respectively based on a probability proportional sampling method. Nutritional education was carried out via nutritional booklets and social media during two weeks.Results: Nutritional education using nutritional booklets was significantly more effective on knowledge and consumption of fattening foods.Conclusion: Our findings showed that nutritional booklets and social media could ignificantly influence the knowledge and consumption of fattening foods among adolescents. Even the effect of nutritional booklets was more prominent.
Proceedings of the Automated Reasoning Workshop (ARW 2019)

PrefaceThis volume contains the proceedings of ARW 2019, the twenty sixths Workshop on Automated Rea-soning (2nd{3d September 2019) hosted by the Department of Computer Science, Middlesex University,England (UK). Traditionally, this annual workshop which brings together, for a two-day intensive pro-gramme, researchers from different areas of automated reasoning, covers both traditional and emergingtopics, disseminates achieved results or work in progress. During informal discussions at workshop ses-sions, the attendees, whether they are established in the Automated Reasoning community or are only attheir early stages of their research career, gain invaluable feedback from colleagues. ARW always looksat the ways of strengthening links between academia, industry and government; between theoretical andpractical advances. The 26th ARW is affiliated with TABLEAUX 2019 conference.These proceedings contain forteen extended abstracts contributed by the participants of the workshopand assembled in order of their presentations at the workshop. The abstracts cover a wide range of topicsincluding the development of reasoning techniques for Agents, Model-Checking, Proof Search for classicaland non-classical logics, Description Logics, development of Intelligent Prediction Models, application ofMachine Learning to theorem proving, applications of AR in Cloud Computing and Networking.I would like to thank the members of the ARW Organising Committee for their advice and assis-tance. I would also like to thank the organisers of TABLEAUX/FroCoS 2019, and Andrei Popescu, theTABLEAUX Conference Chair, in particular, for the enormous work related to the organisation of thisaffiliation. I would also like to thank Natalia Yerashenia for helping in preparing these proceedings.London Alexander BolotovSeptember 2019
KEY BASED SECURITY ON CLOUD STORAGE

Distributed computing is an adaptable, financially savvy and demonstrated conveyance stage for givingbusiness or shopper administrations over the Internet. Distributed computing underpins conveyed administration overthe Internet as administration situated design, multi-client, and multi-space regulatory foundation, henceforth it is allthe more effortlessly influenced by security dangers and vulnerabilities. Distributed computing goes about as anotherworldview where it gives a unique situation to end clients and furthermore ensures Quality of Service (QoS) oninformation secrecy. Believed Third Party guarantees the verification, respectability and classification of includedinformation and interchanges however bombs on keep up the higher level of secret rate on the flat degree of securitycloud administrations. TrustedDB on the cloud protection safeguarding neglects to make sure about the questionparsers result for creating effective inquiry plans. To produce proficient protection saving question plans on the cloudinformation, we propose Shamir's Key Distribution based Confidentiality (SKDC) Scheme to accomplish a higherlevel of secrecy by dwelling the cloud information with polynomial insertion. The SKDC plot makes a polynomial ofdegree with the mystery as the main coefficient and the rest of the coefficients got up to improve the protection savinglevel on the cloud foundation. The test assessment utilizing SKDC is completed on the elements, for example,framework execution time, privacy rate and inquiry preparing rate, which improves the effectiveness of classificationrate and question handling while at the same time putting away and recovering in cloud.
Research on Establishment Method of Index System for Weapons and Equipment Operational Test

The establishment of an equipment operational test index system is the basis for operational test design, implementation and comprehensive evaluation.To solve the problems such as operation procedure is unclear and not easy to operate, and promote the effective conduct of the equipment operational test practices, the paper proposes many operational test question from equipment users and mission tasking order, decomposes operational test question on the base of many methods, establishes and combines index system, and establishes complete steps of operational test index system.
SDCC Library: Linking to Library Resources in Canvas: CQ Researcher/EAG (CQ Press)

How to link to SDCC Library resources within a Canvas course shell Finding persistent links in the CQ Researcher
LibraryGuides: Laptops: Laptop FAQs

How to checkout and return a laptop from Chemeketa during remote operation Frequently asked questions about checking out and returning a laptop
PERFORMANCE EVALUATION OF 10T SRAM CELL STRUCTURES ATADIABATIC TECHNIQUE

Memory is a data storage system that is commonly used to preserve data as a machine memory on an integrated circuit builton a semiconductor. It is manufactured in different styles and technologies. Many other current semi-conductor cognitivedevices are installed that require random access, and access to the data can be rendered in any random order in an efficientway. Random Static Access Memories (SRAM) is a form of semi-conductor storage memory that uses a flip flop to storeeach bit. There are 6 transistors in the shape of cross-connected inverters. This cell consists of two stable states that show 0and 1. During reading and typing activities, two additional input transistors control entry to the storage cell. Within theCMOS circuits it is important to dissipate power from the short circuit such that there are paths directly to the ground fromVDD. The adiabatic technique can overcome this disadvantage. Tanner EDA is the method for extracting the tests. Thepower produced for the traditional Memory cell is 2.2mW and the adiabatic technique suggested is 0.3mW
How to Use Ammonia to Unblock a Sink

One of the most commonly used plumbing fixtures is the sink. Sinks are often prone to all kinds of clogs. Whether the sink is located in your bathroom, ...
LibGuides: Reading: Reading Resources @ the Library

Dr. Stoutmorrill's Campus Innovation Project for the Kellogg Institute Resources that FSCJ students and faculty can use to improve reading.
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models

We study identity testing for restricted Boltzmann machines (RBMs), and more generally for undirected graphical models. Given sample access to the Gibbs distribution corresponding to an unknown or hidden model $M^*$ and given an explicit model $M$, can we distinguish if either $M = M^*$ or if they are (statistically) far apart? Daskalakis et al. (2018) presented a polynomial-time algorithm for identity testing for the ferromagnetic (attractive) Ising model. In contrast, for the antiferromagnetic (repulsive) Ising model, Bezakova et al. (2019) proved that unless $RP=NP$ there is no identity testing algorithm when $\beta d=\omega(\log{n})$, where $d$ is the maximum degree of the visible graph and $\beta$ is the largest edge weight in absolute value. We prove analogous hardness results for RBMs (i.e., mixed Ising models on bipartite graphs), even when there are no latent variables or an external field. Specifically, we show that if $RP \neq NP$, then when $\beta d=\omega(\log{n})$ there is no polynomial-time algorithm for identity testing for RBMs; when $\beta d =O(\log{n})$ there is an efficient identity testing algorithm that utilizes the structure learning algorithm of Klivans and Meka (2017). In addition, we prove similar lower bounds for purely ferromagnetic RBMs with inconsistent external fields, and for the ferromagnetic Potts model. Previous hardness results for identity testing of Bezakova et al. (2019) utilized the hardness of finding the maximum cuts, which corresponds to the ground states of the antiferromagnetic Ising model. Since RBMs are on bipartite graphs such an approach is not feasible. We instead introduce a general methodology to reduce from the corresponding approximate counting problem and utilize the phase transition that is exhibited by RBMs and the mean-field Potts model.
NEW CONTRIBUTIONS TO IMPROVE PERFORMANCE ISSUES RELATED TO A MOBILE AUGMENTED REALITY LOCATION-BASED GAME

NEW CONTRIBUTIONS TO IMPROVE PERFORMANCE ISSUES RELATED TO A MOBILE AUGMENTED REALITY LOCATION-BASED GAME
Library Guides: Scholarly Identity: A Guide: Academia.edu Profile

A guide on how to manage, promote, and protect your online scholarly identity as a current or future researcher, academic, or scholar.
Addressing cyber risk in financial institutions and in the financial system

Regulators and financial institutions must focus the financial industry on significant systems investments to prevent current and future cyber infrastructure threats. This paper organizes the latest research and views on cyber-risk management to enable insights into frequency and severity of cyber-risk events, the magnitude of cyber-risk losses, and the best practices methods and frameworks for organizing and implementing a cyber-risk management program. This paper also describes cryptographic best practices and the evolving research on protection of cyber-attacks in the coming Quantum computing era. The paper concludes that governments must work with their financial market constituents to use one or more of the cyber-risk management frameworks to standardize collection and reporting of cyber-risk events. Finally, government and industry members must work together to finance and rebuild financial institutions’ legacy systems and financial industry infrastructure to enable cyber-risk management solutions.
Five Times You Need To Call Your Local Plumber

Doing a major project in your home without knowing how to go about it can result in major problems. For instance, handling a big plumbing project at home ...
Penerapan Data Mining Menggunakan Algoritma Apriori Terhadap Data Transaksi Penjualan Bisnis Ritel

Retail business in West Java province ranks fourth most. This indicates that there is an increase in retail business competition followed by an increase in information technology implementation. The problem of stacking stocks that could harm retail store entrepreneurs is quite common; to overcome such a precise sales strategy is indispensable. In determining the right sales strategy requires the availability of useful data and information. In order to be more efficient data of sales transaction can be processed by applying data mining technique. The method applied by researchers to design the program is the approach of knowledge discovery in the database, including data analysis to the determination of the a-priori algorithm. The purpose of this research is to obtain information about the relation between products that support the sales strategy of the sales transaction data. The linkage information between the products can later be used to support the decision of the retail business sales strategy by adjusting the product to be packaged, product offerings to the buyer and the placement of the product. The results showed that the priori algorithm can be used to process the data of sales transactions into new information in relation between products based on testing with Orange tools. The associative rules established are tested using the lift ratio, so it is important to know the association rules among the most powerful products.
Inflectional Affixes of Verbs in the Indonesian Language: An Examination of their Function and Meaning from an Inflectional Morphology Perspective

This study seeks to examine the functions and meanings of the inflectional affixes that may be used with verbs in the Indonesian language by applying an inflectional morphology approach. It is a qualitative study, utilizing the structural linguistics method as well as Chafe (1970) and Fillmore (1971)'s case grammar theory to understand the semantics of verbs. The object of this research is the inflectional verbs that may be used with verbs in Indonesian. Data was collected from written sources, namely editorials, news stories, and articles published in Kompas, Tempo, Intisari, Linguistik Indonesia, and books published by Gramedia. Another written resource consulted was the fifth edition of the Kamus Besar Bahasa Indo­nesia (Great Dictionary of the Indonesian Language, KBBI). To identify the functions and meanings of inflectional affixes, paired opposition and transformational techniques were applied. The research findings are as follows: (1) the inflectional affix meN-(1) functions to form grammatical words within the category Active V (For­mal); (2) the inflectional affix meN-(2) functions to form grammatical words within the category Action V (Formal); (3) the inflectional affix di- functions to form verbs within the grammatical category Passive V (Canonical); (4) the inflectional affix (clitic) ku- functions to form verbs within the grammatical category Passive V (Emphasis on Object); (5) the inflectional affix (clitic) kau- functions to form verbs within the grammatical category Passive V (Emphasis on Object); (6) the inflectional affix beR- functions to form verbs within the grammatical category Action V (Formal) or State-Of-Being V Formal; (7) the inflectional affix O/zero(1) functions to form verbs within the grammatical category Active V (Colloquial); (8) the inflectional affix O/zero(2) functions to form verbs within the grammatical category Passive V (Emphasis on Object); (9) the inflectional affix O/zero(3) functions to form verbs within the grammatical category Action V (Colloquial) or State-of-Being V (Colloquial).
Italian lesson group classes - Level 2+(advanced)%%sep%% %%sitename%%

Group Classes - Level 2+ Beginner You have never studied Italian or you know the basics up to the Present Tense. We will be teaching you how to communicate and exchange information in a simple way.
Social media as a communicative platform to promote indigenous African Languages by youth students at a Rural Based University, South Africa

This article sought to investigate the role played by social media in promoting indigenous African languages by students at a rural based university in South Africa. Globally, language(s) could be acquired and promoted through various platforms of social interaction, such as family, schools and social media. This paper is qualitative in nature and descriptive research design had been used to answer the research problem and objectives. Ten (10) youth students were purposively selected to participate in this study and data solicited through semi-structured interview were analysed through Thematic Content Analysis technique. Furthermore, the article established that even though English is still a dominant language of communication; youth are playing a significant role in promoting indigenous African languages through social media as communicative platforms. The findings further provide a significant insight into youth’ usage of social media like WhatsApp as a communicative platform to promote previously disadvantaged and marginalised African languages.Keywords: Indigenous African languages, Promotion, Rural University, Social media, WhatsApp and Youth students.