Reviewerly/exHarmony huggingface dataset:
Digital Morphology: Rise of The Machines

Digital morphology (DM) in haematology is a term used to describe digital imaging of peripheral blood films. In its simplest form DM systems record single cells from a suitably stained film using a microscope camera. A system similar to facial recognition is then used to ‘preclassify’ the cells prior to a verification step, which either involves a computer algorithm or direct human intervention. Terms such as ‘digital haematology’, ‘digital pathology’, ‘telepathology’, ‘telehaematology’ and ‘telemedicine’ deal with overlapping aspects of morphological diagnosis in which the digital recording, manipulation and analysis of peripheral blood cells can occur, whilst ‘virtual microscopy’ represents the closest digital simulation to light microscopy. Although the technology is not new, its implementation has been relatively uneven and sporadic compared with automated haematology analysers. Probable obstacles include cost, limitations imposed by data storage and data security, as well as lack of familiarity or trust involved in accepting a method other than light microscopy for assessing blood cell morphology. Advantages include overcoming difficulties with training competent morphologists, standardisation of reporting, remote consultations and its use as a training resource. Virtual microscopy could represent a new threshold for implementation of analysis using artificial intelligence in the future.
Hierarchical Structure Management of California Higher Education and Its Use for Reference

California enjoys the highest development level of education in the United States. According to the Master Plan 1960 , California public higher education has formed a tertiary structure. Performing their respective duties, the universities and colleges have mutual cooperation and constitute an organic public higher education system. In many provinces of China, a Master Plan for Higher Education like that of California is warmly welcome, in the perspective of avoiding the unbalanced allocation of educational resources and the waste caused by the disorderly competition.
SOVMM: Survey on Virtual Machine Migration

We are living in two worlds one where we physically present and one where we virtually present and that virtual world is nothing but an internet world.We spent lot of time on internet and our maximum work is on internet such as banking, business, and government work.Cloud Computing is the future of this world.Cloud computing is internet based computing technology.Virtual machine is the core element of this computing technology.In the data center many virtual machines present which satisfy the user request and their requirements.To efficiently satisfying the user need and uninterrupted services some time virtual machine needs to be migrated from one data center to another data center or from one host to another host within the data center.There are many algorithms for virtual machine migration which are based on different parameters and conditions.This paper comprises all such algorithms with their merits and demerits and also a comparative study of these algorithms.
Occurrence of anemia among the people of Gurugram, Haryana: a cross sectional study

Anemia is considered a condition, not a disease in which numbers of red blood cells (RBCs) are insufficient to meet the body’s metabolical and physiological needs for oxygen. Anemia may also develop due to nutritional deficiencies such as iron, vitamin B12, folic acid, and vitamin A; moderate and severe inflammation; parasitic infestation; and acquired or inherited disorders that affect hemoglobin synthesis, red blood cell development or red blood cell endurance. This proposed work depicts the distribution of different morphological types of anemia on people of Gurugram, Haryana. All the samples were analyzed for CBC and peripheral blood smear by using Sysmax (three parts) hematology analyzer and microscopy. In the present study, 300 patients in 6 months study period were included to diagnose anemia. Only 166 cases were positive. Out of 166 cases, 85 (51.2%) were female and 81 (48.8%) were male. The highest number of participants showed RBCs count in the range of 4.5-5.5 million/mm3, 24 (14.5%) with P value 0.000. Most of the cases that we revealed were having hypochromic red cells along with morphological variation in RBCs which may be due to iron deficiency. The further confirmatory analysis may be required in order to know the detail classification of anemia.&#x0D; Keywords: Anemia, Hemoglobin, Iron Deficiency, Hypochromic, Red Blood Cells
Design of Hydrological Monitoring Information System for Heilongjiang River

By analyzing the basic concepts, principles and analytical methods of hydrology, this paper introduces the design and implementation of the hydrological information management system in Heilongjiang province, combined with the more advanced programming language and based on the remote data management technology.
Exploring the Context of Recurrent Neural Network based Conversational Agents

Conversational agents have begun to rise both in the academic (in terms of research) and commercial (in terms of applications) world. This paper investigates the task of building a non-goal driven conversational agent, using neural network generative models and analyzes how the conversation context is handled. It compares a simpler Encoder-Decoder with a Hierarchical Recurrent Encoder-Decoder architecture, which includes an additional module to model the context of the conversation using previous utterances information. We found that the hierarchical model was able to extract relevant context information and include them in the generation of the output. However, it performed worse (35-40%) than the simple Encoder-Decoder model regarding both grammatically correct output and meaningful response. Despite these results, experiments demonstrate how conversations about similar topics appear close to each other in the context space due to the increased frequency of specific topic-related words, thus leaving promising directions for future research and how the context of a conversation can be exploited.
Flexible Fair and Collusion Resistant Pseudonym Providing System

In service providing systems, user authentication is required for different purposes such as billing, restricting unauthorized access, etc., to protect the privacy of users, their real identities should not be linked to the services that they use during authentication. A good solution is to use pseudonyms as temporary identities. On the other hand, it may also be required to have a backdoor in pseudonym systems for identity revealing that can be used by law enforcement agencies for legal reasons. Existing systems that retain a backdoor are either punitive (full user anonymity is revealed), or they are restrictive by revealing only current pseudonym identity of. In addition to that, existing systems are designed for a particular service and may not fit into others. In this paper, we address this gap and we propose a novel pseudonym providing and management system. Our system is flexible and can be tuned to fit into services for different service providers. The system is privacy-preserving and guarantees a level of anonymity for a particular number of users. Trust in our system is distributed among all system entities instead of centralizing it into a single trusted third party. More importantly, our system is highly resistant to collusions among the trusted entities. Our system also has the ability to reveal user identity fairly in case of a request by law enforcement. Analytical and simulation based performance evaluation showed that Collusion Resistant Pseudonym Providing System (CoRPPS) provides high level of anonymity with strong resistance against collusion attacks.
Object Detection for Image Captioning

Generation of description of pictures victimization tongue sentences is gaining a lot of quality of late. It's a difficult task, because it needs not solely understanding a picture, however to translate that visual data into sentence description. So as to caption a picture, we tend to 1st have to be compelled to discover the objects within the image. Object detection has become one amongst the international widespread analysis fields. 1st the paper introduced the distinction between deep learning and machine learning for object detection. Second the techniques for object detection are surveyed. Third it mentioned techniques for object classification.
Pengembangan Media Pembelajaran Berbasis Android Sejarah Walisongo Mata Pelajaran Sejarah Kelas X

For the sake of advancing mobile technology and increasing affordability and capabilities, mobile platforms especially Android have changed from communication tools to tools for socialization, entertainment and learning. This study aims to determine the feasibility and effectiveness of the development of android-based learning media history of Walisongo class X history subjects. The research method used is the Research and Develompment (R & D) method using the Waterfall development model. Data collection techniques used in the form of tests and non-tests. The analysis techniques used are feasibility, initial and final data analysis. Android-based learning media development history of Walisongo class X history subjects through the stages of analysis, design, implementation, testing, and maintenance. the results of the assessment by media experts fall into the fairly decent category with an overall average of 60.42% and the assessment by material experts is in the very feasible category with an overall average of 89.73%. Based on the results of the t test obtained sig (2-tailed) of 0.00, if sig <0.05 then H0 is not accepted and Ha is accepted, which means there are differences in learning outcomes from students before and after using the media. Based on the results of the research on the development of android-based learning media, the history of Walisongo, a history subject, is declared feasible to be used to improve students' understanding and learning outcomes.
MODIFIKASI MODEL PEMBELAJARAN QUANTUM LEARNING DENGAN STRATEGI PEMBELAJARAN TUGAS DAN PAKSA

This writing aims to make students more active and disciplined in the learning process and can also increase creativity and learning outcomes. The low mathematics learning outcomes are not only due to difficult mathematics, but are caused by several factors which include students themselves, teachers, learning approaches, and learning environments that are interconnected with each other. To improve the ability and results of learning it is necessary to make modifications to the task learning strategy and force. Quantum learning is a tip, a guide, a strategy and an entire learning process that can sharpen understanding and memory, and make learning a pleasant and useful process. Task and Forced Learning Strategies are strategies that focus on giving assignments and a little coercion so that students complete their tasks on time so that the learning process can run effectively. Therefore, the writer modifies the model of quantum learning with task and forced learning strategies, the results of this modification show that learning with quantum learning models with forced and task strategies can improve the learning process so that students become more disciplined in doing tasks, can motivate student learning, and can improve student learning outcomes.
A Context Aware Mechanism for Mobile Devices to Efficiently Acquire Resources Remotely

Mobile devices are becoming very popular due to their portability and small size, but they are still not comparable to that of PC.Computational and network intensive applications cannot run efficiently on mobile devices due to their limited batteries and energy deficient systems.Recent works to improve mobile device efficiency include mobile cloud computing, mobile edge computing, and device to device communication.Shifting the computations on the cloud will reduce the burden of mobile device but at the same time, this implementation presents many challenges.In this paper, an algorithm is proposed which can deal with the resource acquisition from different sources by using a context aware system.Implementation of that algorithm is left for future work.
Digital pathology: digital evaluation of immunohistochemistry and fish – routine diagnostics and R&amp;D applications

Digital pathology is currently becoming a useful adjunct in diagnostic and treatment differential evaluations in anatomical pathology, particularly in the cancer context. The numerical evaluation of particular IHC stains has now become mainstream in the diagnostic setting where treatment decisions and prognostic evaluations are defined.
How do you do it? Expertise in anatomical pathology: join our how study and find out how

Background: In pathology, reaching a successful diagnosis depends on pattern recognition and associations in memory. Experts are likely to use different strategies compared to novice and competent practitioners.
Beyond Grammar rules have to shift due ...

Beyond Grammar rules have to shift due to technology (I may for example, not capitalize days of the week if I want a url not
How to Restructure PPDRC and MIRC According to DOLCE

The use of ontologies in information systems for engineering applications calls for ontologies representing experts’ knowledge in a principled and robust manner. The work we present in the paper brings together, on the one hand, two ontologies developed for the engineering domain, namely PPDRC and MIRC and, on the other hand, the DOLCE foundational ontology. The former two have been developed by taking DOLCE as reference model for distinguishing between the high-level entities they quantify over. However, the relation with DOLCE calls for improvements. The ultimate purpose of the paper is to show how the conceptual transparency of domain ontologies can be enhanced by (properly) using a foundational ontology.
12. Dynamic semantics

In this article we give an introduction to the idea and workings of dynamic semantics. We start with an overview of its historical background and motivation. An in-depth description of a paradigm version of dynamic semantics, Dynamic Predicate Logic, is given in section 2. In section 3 we show how the dynamic paradigm can be used to account for a number of empirical phenomena, and we discuss some extensions of the basic paradigm, systematically incorporating previously deemed pragmatic aspects of meaning. We conclude with a discussion of some theoretical issues surrounding dynamic semantics in section 4.
Implementation of Lesson Study in Supporting the Values of Tudang Sipulung as a Local Culture in ESP Classroom

Lesson Study was firstly applied in Palopo City (Indonesia), and Universitas Cokroaminoto Palopo was the only institution, which is entrusted to develop it outside Makassar, as the learning process in 2013 until the present time. The models of cooperative and collaborative learning have indicated the positive thing in improving the material of English for Specific Purposes and reduce the impractical theory-based course, the activities of lesson study are generally run properly and it needs the well-managed scheduled to arrange all the necessary things in it from early to the last cycle of the lesson study. In short, the lesson study is improving the students’ cooperation, collaboration motivation, and initiative in learning ESP course. The sharing and discussion among the lecturers before and after the class is also revitalizing the spirit of traditional local wisdom and values, which is called tudang sipulung, it is clearly seen that the cooperation, collaborative, mutual respects spirit in lesson study is relevant to the local wisdom and supports the local values of tudang sipulung.
Impact of Rewards Management System on Employees’ Satisfaction in Case of DebreBirhan University Administrative Staffs

Reward management is concerned with the processes of developing, implementing, operating and evaluating reward policies and practices that recognize and value people according to the efforts and contributions they make towards achieving organizational, departmental and team goals.Employee satisfaction is the degree to which an employee has positive emotions towards the work and organization.The objective of the study is to determine the impact of reward management system on employees' satisfaction in DebireBirhan University administrative staffs in Ethiopia.The sample size of the study contained 280 administrative staffs in the different departments'' of University.Data was collected using structured questionnaire technique.The data obtained was processed using the statistical package for social science (SPSS) and was analyzed using both descriptive and inferential statistics.The result discussion indicate that there was a moderate significant positive relationship between transparency of reward system and Employees satisfaction (r =0.582, p< 0.00), Fair distribution reward system and Employees satisfaction (r =0.562, p< 0.00).Low significant positive relationship between Equity reward system and employees satisfaction (r = 0.336, p< 0.00); Consistency and continuity of reward system and Employees satisfaction (r =0.388, p< 0.00).The study found that reward management system collectively have significant effect on employees satisfaction.The study recommends that the university reward management system should be transparency, equity, fair distribution and consistency among administrative staffs in the university.The university should be developing channels of communication for making transparency and clarity of reward management system to administrative staffs.
Teaching RSA

Once you introduce RSA and probabilistic primality testing to your cryptography class, one of your brighter students will ask "What happens if the test is wrong?" It turns out the answer can vary from "You'll find out immediately" to "It makes no difference" to "It depends". We explain the mathematics that determine where the answer lies, and illustrate with examples suitable for use in the undergraduate classroom. We conclude by showing how to construct a key pair that produces correct RSA results from composite numbers p and q, and thus whose composite nature is not detectable through RSA encryption and decryption alone.
DEVELOPING ENGLISH WRITING MATERIALS OF DESCRIPTIVETEXT FOR TENTH GRADE STUDENT BASED ON PROJECT BASED LEARNING AT SMA SWASTA MARISI MEDAN

This research aimed to find out the target and learning needs of Grade X SMA SWASTA MARISI MEDAN. Moreover, it had a goal to develop English materials for learning writing skills. This is a research and development (R&amp;D) study. The subjects of this research were 25 students of Grade X SMA SWASTA MARISI MEDAN. The need analysis data were collected by using questionnaires and an interview. Then, the results of questionnaires were calculated through percentage. Thus, the highest percentage was considered as the needs of students. Meanwhile, the results of expert judgment were analyzed in the form of descriptive statistics. Three units of materials were developed in this research. Each unit consists of introduction, main lesson and reinforcement. These materials used Project-Based Learning as the approach in learning writing skill. The units covered some tasks as identify the generic structure, write a short paragraph and complete the sentences. Mostly, the themes used represented students’ knowledge about the popular places and person around them. According to the results of the expert judgment, the materials were very relevant to be used for Grade X SMA SWASTA MARISI MEDAN. Keywords: learning writing, writing, descriptive text
Role of age in employee performance a knowledge management respondent- A hypothetical study

In today modern organization employees performance depends on both monetary and non-monetary benefits provided. When speaking about Knowledge Management the factors can be in and around of organization they work, but when we see to the impact where it affects the result extends to employee performance and employee satisfaction. In this study, the impact of Knowledge Management is analyzed and found employee performance is one of the important effects on an organization. But when comparing the impacts of Knowledge Management on performance and demography, the level of impact changes. Thus in this article the level of significance between Age which is one among the demographic variable and Employee Performance an impact of Knowledge Management is being analyzed.
An assessment of the critical human, financial, and institutional capacity issues affecting West African agricultural R&D

An assessment of the critical human, financial, and institutional capacity issues affecting West African agricultural R&D
INTRANET BASED WORKFORCE MANAGEMENT SYSTEM FOR SPI CUSTOMER RELATIONSHIP MANAGEMENT, INCORPORATED

Intranet-Based Workforce Management System for SPi Customer Relationship Management Inc., Makati City is the proposed system that provides employee information, agent schedules, updated team roster and reports to users which could be a process improvement for workforce management team and human resources department when it comes to validation of requests from operations. As a whole system, it provides information for the agent and users in-terms of schedules and reports that can be useful to assess performance. It also has useful functionalities that help to improve the current process of workforce management when it comes to record-keeping and data processing.
Pat Helland on Failure and Resilience in Distributed Systems

Pat Helland of SalesForce talks with show-host Edaena Salinas about failure and resilience in distributed systems. The interview covers the growth of distributed computing on the public cloud, the origin of failure in the manufacturing process of hardware, the lifecycle of a server, why servers need to be replaced every three years, self-healing systems, replication, and the consistency, availability, and partition-tolerance (CAP) theorem. Sections that were not transcribed, due to space limits, cover how mutability makes life harder, append-only data, how electricity costs dominate, “cattle versus pets,” the rise of DevOps automation, testing, testing in production, and monitoring.