Reviewerly/exHarmony huggingface dataset:
PERBANDINGAN PERAN PEKERJA PRIA DAN PEKERJA WANITA TERHADAP JUMLAH HASIL KERJA MEMETIK DAUN TEH

The problem of labor that is crammed into life is still a big problem and needs to be resolved. Employment control by male workers is an important part of achieving goals for the job itself. The main consideration of the use of male workers is that male workers have longer working hours and no time constraints such as female workers. Male workers have a greater power qualification than female workers, so male workers are the main choice and consideration for employment. Gardens wonosari tea district Lawang Malang regency, has now been employing many women workers as tea pickers. Working as tea pickers, in general can be done by male and female workers. This research is a quantitative research with descriptive and inferential approach. The research location is tea garden of wonosari PTPN XII Lawang with male worker object and female picker tea workers. X1 variable is male worker and X2 variable is female worker. The result of data processing by using SPSS shows that for variable X1 all question items are declared valid. Likewise, the reliability of data for variebel X1 otherwise reliable with alpha of 0.919 and varibel X2 with an alpha value of 0.688. While the regression value of Y = -1.055 + 0.162 XI + 0.214 X2 + 1.32749 and R Square / coefficient of determination which shows the value of 0.817 or 81.7%. This means that the contribution of male and female workers is 81.7%. and the rest is influenced by another variable of 18.3% outside the independent variables studied. Keywords: labor, male workers, female workers.
Administrative Supervisors’ Rating of Desktop Publishing Competencies Possessed by Office Technology and Management Graduate Workers in North-West Nigeria Polytechnics

This study on supervisors’ rating of Office Technology and Management (OTM) graduate workers competencies in using MS Desktop publishing in North-West Nigerian polytechnics was necessitated by persistent complaints from employers of labour that OTM graduate workers do not perform as expected in the current era of technology. One research question guided the study, and two null hypotheses were tested at 0.05 level of significance using T-test. Descriptive survey research design was used for the study. The population of the study constituted 378 supervisors in state and federal polytechnics in North-West Nigeria. The population was used as the sample. A structured 5-point rating scale questionnaire containing 16 items were developed and validated by experts. Reliability of the instrument was established using split half method and Pearson Product Moment Co-efficient Correlation formula and obtained a reliability co-efficient value of 0.77. The data collected was analysed with mean and standard deviation to answer the research questions and determine homogeneity or otherwise of the respondents. Findings revealed that administrative supervisors in polytechnics in North-West Nigeria rated their Office Technology and Management (OTM) graduate workers as fairly possessing desktop publishing competencies. Gender and the ownership of the institutions have no influence on the respondents’ ratings. Based on the findings, it was concluded that OTM graduate workers in Polytechnics in North-West Nigeria, do not possess the relevant desktop publishing competencies. It was recommended that The OTM graduate workers should engage in in-service training programmes to improve their competencies in desktop publishing. The administrative supervisors should recommend approval of in-service training for their OTM graduate workers to enhance their computer application competencies.
Committees: Conference on Theoretical Physics and Nonlinear Phenomena (CTPNP) 2019

First Page
Yolanda Williams: Motel room used as criminal headquarters for wanted identity theft suspect

Here's a thought: If you're using a motel room as your headquarters to commit crime, probably not a good idea to cause a ruckus inside that gets the cops called on you.
OG question about prompting critical nd computational ...

OG question about prompting critical nd computational thinking...I can give a kid a deck of Pokemon cards and get at the problem solving goals
Aortic disease assessment by Multidetector CT Aortogram

Poster: ECR 2020 / C-05646 / Aortic disease assessment by Multidetector CT Aortogram  by:  U. S. Umer , S. Alam, S. Ghulam ghaus, A. Nawaz Khan, S. Gul, H. Abid, N. Gul; Peshawar/PK
Learning Automata-Based Fireworks Algorithm on Adaptive Assigning Sparks

Fireworks algorithm (FWA) is an emerging swarm intelligence inspired by the phenomenon of fireworks explosion. The numbers of sparks generated by fireworks have a great impact on the algorithm performance. It is widely accepted that promising fireworks should generate more sparks. However, in many researches, the quality of a firework is judged only on its current fitness value. This work proposes a Learning Automata-based Fireworks Algorithm (LA-FWA) introduced Learning automata (LA) to assign sparks for a better algorithm performance. Sparks are assigned to fireworks according to a state probability vector, which is updated constantly based on feedbacks from an environment so that it accumulates historical information. The probability vector converges as the search proceeds so that the local search ability of the LAFWA turns strong in the late search stage. Experimental results performed on CEC2013 benchmark functions show that the LAFWA outperforms several pioneering FWA variants.
AI Assisted Apparel Design

Fashion is a fast-changing industry where designs are refreshed at large scale every season. Moreover, it faces huge challenge of unsold inventory as not all designs appeal to customers. This puts designers under significant pressure. Firstly, they need to create innumerous fresh designs. Secondly, they need to create designs that appeal to customers. Although we see advancements in approaches to help designers analyzing consumers, often such insights are too many. Creating all possible designs with those insights is time consuming. In this paper, we propose a system of AI assistants that assists designers in their design journey. The proposed system assists designers in analyzing different selling/trending attributes of apparels. We propose two design generation assistants namely Apparel-Style-Merge and Apparel-Style-Transfer. Apparel-Style-Merge generates new designs by combining high level components of apparels whereas Apparel-Style-Transfer generates multiple customization of apparels by applying different styles, colors and patterns. We compose a new dataset, named DeepAttributeStyle, with fine-grained annotation of landmarks of different apparel components such as neck, sleeve etc. The proposed system is evaluated on a user group consisting of people with and without design background. Our evaluation result demonstrates that our approach generates high quality designs that can be easily used in fabrication. Moreover, the suggested designs aid to the designers creativity.
Factors of Viral Marketing that Affecting Customer’s Satisfaction Case Study of Jordanian Restaurants

Viral marketing is becoming a key instrument in marketing strategies nowadays, used by a lot of firms to achieve these goals, due to the widespread of the internet among all people nowadays, and the tendency of people from deferent ages to spend more time on the internet to use the social media, customer’s satisfaction have received great attention in marketing research since a long time ago, whereas academic literature in the viral marketing is still sparse, particularly the factors that affecting customer’s satisfaction in jordanain restaurants. Therefore, this paper attempts to fill this gap by examining the relationship between promotion, Brand Awareness, Trust, and Brand association on customer’s satisfaction to address the inconsistent findings in the previous studies.
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility

When self-adaptive systems encounter changes within their surrounding environments, they enact tactics to perform necessary adaptations. For example, a self-adaptive cloud-based system may have a tactic that initiates additional computing resources when response time thresholds are surpassed, or there may be a tactic to activate a specific security measure when an intrusion is detected. In real-world environments, these tactics frequently experience tactic volatility which is variable behavior during the execution of the tactic. Unfortunately, current self-adaptive approaches do not account for tactic volatility in their decision-making processes, and merely assume that tactics do not experience volatility. This limitation creates uncertainty in the decision-making process and may adversely impact the system's ability to effectively and efficiently adapt. Additionally, many processes do not properly account for volatility that may effect the system's Service Level Agreement (SLA). This can limit the system's ability to act proactively, especially when utilizing tactics that contain latency. To address the challenge of sufficiently accounting for tactic volatility, we propose a Tactic Volatility Aware (TVA) solution. Using Multiple Regression Analysis (MRA), TVA enables self-adaptive systems to accurately estimate the cost and time required to execute tactics. TVA also utilizes Autoregressive Integrated Moving Average (ARIMA) for time series forecasting, allowing the system to proactively maintain specifications.
Regulatory Perspective on Nuclear Cyber Security: The Fundamental Issues

We are living in a digital and information-driven age and need to store information related to virtually every aspect of our lives, nuclear information included.For computer system to be reliable and secure in nuclear facilities, unauthorized event changes must be prevented (which means maintainingconfidentiality), field device inputs and outputs must remain immutable throughout their usable lifetime (which means maintaining -integrity), and all component parts should remain in an operable state (which means maintaining -availability).The dynamic and complex nature of cyber threats has made it a serious challenge to secure computer systems in nuclear facilities.A number of varied cyber security services, policies, mechanisms, strategies and regulatory frameworks have been adopted , including: confidentiality, integrity, availability, non-repudiation, encipherment, defense-in-depth (DID), design basis threat (DBT), IAEA technical guidance documents such as: GS-R-1, GS-R-2, GS-R-3, GS-G-3.1-3.5, NSS20, NSS23-G, NSS13, NSS17, NST036, NST045, and NST047, IEEE standard 7-4.3.2-2010,NIST SP 800-53, NIST SP 800-82, NEI 04-04, NEI 08-09 and country-specific requirements such as: 10 CFR 73.54, RG 5.71 (U.S.NRC), KINS/RG-N08.22(South Korea).However, threats remain persistent.This paper is aimed at providing a regulatory perspective on nuclear cyber security, its relationship to nuclear safety and security, regulatory requirements and global best practice recommendations for nuclear cyber security, and strategies to prevent and counteract threats.This study is imperative as Nigeria prepares to join the league of countries with operational nuclear power plants and research reactors 1
Implicit Distributional Reinforcement Learning

To improve the sample efficiency of policy-gradient based reinforcement learning algorithms, we propose implicit distributional actor-critic (IDAC) that consists of a distributional critic, built on two deep generator networks (DGNs), and a semi-implicit actor (SIA), powered by a flexible policy distribution. We adopt a distributional perspective on the discounted cumulative return and model it with a state-action-dependent implicit distribution, which is approximated by the DGNs that take state-action pairs and random noises as their input. Moreover, we use the SIA to provide a semi-implicit policy distribution, which mixes the policy parameters with a reparameterizable distribution that is not constrained by an analytic density function. In this way, the policy's marginal distribution is implicit, providing the potential to model complex properties such as covariance structure and skewness, but its parameter and entropy can still be estimated. We incorporate these features with an off-policy algorithm framework to solve problems with continuous action space and compare IDAC with state-of-the-art algorithms on representative OpenAI Gym environments. We observe that IDAC outperforms these baselines in most tasks. Python code is provided.
SharpNet: Fast and Accurate Recovery of Occluding Contours in Monocular Depth Estimation

We introduce SharpNet, a method that predicts an accurate depth map for an input color image, with a particular attention to the reconstruction of occluding contours: Occluding contours are an important cue for object recognition, and for realistic integration of virtual objects in Augmented Reality, but they are also notoriously difficult to reconstruct accurately. For example, they are a challenge for stereo-based reconstruction methods, as points around an occluding contour are visible in only one image. Inspired by recent methods that introduce normal estimation to improve depth prediction, we introduce a novel term that constrains depth and occluding contours predictions. Since ground truth depth is difficult to obtain with pixel-perfect accuracy along occluding contours, we use synthetic images for training, followed by fine-tuning on real data. We demonstrate our approach on the challenging NYUv2-Depth dataset, and show that our method outperforms the state-of-the-art along occluding contours, while performing on par with the best recent methods for the rest of the images. Its accuracy along the occluding contours is actually better than the `ground truth' acquired by a depth camera based on structured light. We show this by introducing a new benchmark based on NYUv2-Depth for evaluating occluding contours in monocular reconstruction, which is our second contribution.
미국과 중국의 패권전략이 한국 안보에 미치는 영향 - 미어셰이머의 공격적 현실주의 이론을 중심으로 -

The international security situation has changed dramatically in recent years. The international hegemonic order by the United States, which has been maintained since the end of the Cold War, is facing a shift from the U.S. and China to the G2 era due to China’s rapid growth. While the U.S. national power has declined relatively due to the 2001 terrorist attacks and the 2008 financial crisis, the successful hosting of the 2008 Beijing Olympics and the leap to become the second largest economy in 2010 marked the rise of China. Under the threat, the U.S. has begun to recognize China as a challenge to hegemony, and plans to prevent China’s rise from being held in check. On the other hand, China seeks to regain its status as a once splendid hegemonic power by expanding its dominance into the Asia-Pacific region based on economic revival and modernized military power.This study analyzed tie hegemony strategies of the U.S. and China from the perspective of Mearsheimer’s Offensive Realism. First, this study will divide his theory into hegemony and strategy, explain the theoretical concepts, and try to restructure his theory to apply it to this study. Through this process of theoretical reconstruction, this study will analyze the hegemony strategies of the U.S. and China from the perspective of Mearsheimei’s Offensive Realism. The U.S. hegemony strategy will present the Peace through Strength Strategy，the Joint Operational Access Concept Strategy and the Diamond Strategy, and China’s hegemony strategy will be analyzed by dividing it into the Dream of a Powerful Military Strategy, the Island Chain Strategy and the String of Pearls Strategy. Then, if the U.S. and China’s hegemony strategy are strongly expressed, this study want to predict the possibility of a military clash between the U.S. and China. As a result, this study will analyze the hegemony strategies of the U.S. and China &om the perspective of Mearsheimer’s Offensive Realism，proving the suitability of the Mearsheimer’s theory, and suggesting that Korea’s military strategy should move forward.
LOS MAIN GOALS AND PRINCIPLES OF HIGHER EDUCATION SYSTEMS INTEGRATION IN EHEA COUNTRIES

The authorsp rovide information on educational systems of the EU countries in the context of harmonization of educational systems of European Higher Education Area countries. The article discloses the main directions of education integration aimed at achieving general strategic goals set in Paris Communiqué and Statement of the Fifth Bologna Policy Forum, signed in Paris in 2018 during the Ministerial Conference and the Bologna Policy Forum.&#x0D; The problems of the internationalization of education, the basic principles of the integration of higher education and study programmes aimed at ensuring quality of training in European higher education area is considered. Particular attention is paid to existing approaches to guarantee the quality of higher education and the formation of quality assessment systems at the international, national and regional levels to create the conditions for sound quality management of education. The features of changes in foreign and Russian education related to the Bologna process and to the development of European integration in higher education are shown.
MGBPv2: Scaling Up Multi-Grid Back-Projection Networks

Here, we describe our solution for the AIM-2019 Extreme Super-Resolution Challenge, where we won the 1st place in terms of perceptual quality (MOS) similar to the ground truth and achieved the 5th place in terms of high-fidelity (PSNR). To tackle this challenge, we introduce the second generation of MultiGrid BackProjection networks (MGBPv2) whose major modifications make the system scalable and more general than its predecessor. It combines the scalability of the multigrid algorithm and the performance of iterative backprojections. In its original form, MGBP is limited to a small number of parameters due to a strongly recursive structure. In MGBPv2, we make full use of the multigrid recursion from the beginning of the network; we allow different parameters in every module of the network; we simplify the main modules; and finally, we allow adjustments of the number of network features based on the scale of operation. For inference tasks, we introduce an overlapping patch approach to further allow processing of very large images (e.g. 8K). Our training strategies make use of a multiscale loss, combining distortion and/or perception losses on the output as well as downscaled output images. The final system can balance between high quality and high performance.
Radial Basis Functions and Improved Hyperparameter Optimisation for Gaussian Process Strain Estimation

Over the past decade, a number of algorithms for full-field elastic strain estimation from neutron and X-ray measurements have been published. Many of the recently published algorithms rely on modelling the unknown strain field as a Gaussian Process (GP) - a probabilistic machine-learning technique. Thus far, GP-based algorithms have assumed a high degree of smoothness and continuity in the unknown strain field. In this paper, we propose three modifications to the GP approach to improve performance, primarily when this is not the case (e.g. for high-gradient or discontinuous fields); hyperparameter optimisation using k-fold cross-validation, a radial basis function approximation scheme, and gradient-based placement of these functions.
Reinforcement Learning Endowed Robot Planning under Spatiotemporal Logic Specifications

Recent advances in artificial intelligence are producing fascinating results in the field of computer science. Motivated by these successes, the desire to transfer and implement learning methods on ...
Spatial variation and temporal trends of solar radiation over Morocco based on ground observations and CMSAF data records.

&amp;lt;p&amp;gt;The main advantage of remote sensing products is that they are reasonably good in terms of temporal and special coverage, and they are available in a near real time. Therefore, an understanding of the strengths and weaknesses of satellite data is useful to choose it as an alternative source of information with acceptable accuracy. &amp;amp;#160;On the first hand, this study assesses an Inter-comparison between CMSAF Sunshine Duration (SD) data records and ground observations of 30 data sets from 1983 to 2015. the correlation is very significant and the satellite data fits very closely to in situ observations. On the other hand, trend analysis is applied to SD and Solar Incoming Direct radiation (SID) data, a number of stations show a statistically significant decreasing trend in SD and also SID shows a decreasing trend over Morocco in most of regions especially in summer. The results indicate a general tendency of decrease in incoming solar radiation mostly during summer which could be of some concern for solar energy.&amp;lt;/p&amp;gt;
Geoscience data interoperability through a new lens: how designing a telescope that looks down changed our view of data.

&amp;lt;p&amp;gt;AuScope is the national provider of research infrastructure to the earth and geospatial sciences communities in Australia. Funded through the NCRIS scheme since 2006 we have invested heavily in a diverse suite of infrastructures in that time, from VLBI telescopes to geochronology laboratories, and national geophysical data acquisitions to development of numerical simulation and inversion codes.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Each of these programs, and the communities they support have different requirements relating to data structures, data storage, compute and access and as a result there has been a tendency in the past to build bespoke discipline specific data systems.&amp;amp;#160; This approach limits the opportunities for cross domain research activity and investigation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;AuScope recently released our plans to build an Australian Downward Looking Telescope (or DLT).&amp;amp;#160; This will be a distributed observational, characterisation and computational infrastructure providing the capability for Australian geoscientists to image and understand the composition of the Australian Plate with unprecedented fidelity.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The recent development of an investment plan for the construction of this National Research Infrastructure has allowed our community to reassess existing data deliver strategies and architectures to bring them in line with current international best practice.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Here we present the proposed e-infrastructure that will underpin the DLT.&amp;amp;#160; This FAIR data platform will facilitate open and convergent research across the geosciences and will underpin efforts currently underway to connect international research infrastructures, including EPOS, AuScope and IRIS and others, to create a global research infrastructure network for earth science.&amp;lt;/p&amp;gt;