This paper introduces a new neural structure called FusionNet, which extends existing attention approaches from three perspectives. First, it puts forward a novel concept of “history of word” to characterize attention information from the lowest word-level embedding up to the highest semantic-level representation. Second, it identifies an attention scoring function that better utilizes the “his...

We compared the indicators of leukogram and ESR in second year COVID-19 pandemic (2021) among employees two institutions: SF "Peremoga Nova" Poultry Farm (15 people) State Fire Rescue Squad (22 people). The workers poultry farm showed certain signs development pro-inflammatory processes (an increase level monocytes ESR). Such are absent fire rescue squad, which allows us to consider conditions ...

This study examines the response of women’s majelis taklimin Surakarta to Islamist movement, through philanthropic activities.This is focused on interviewing congregations and administrators three taklim-Al Husna, Humaira, Da'wah Squad. I argue that taklimis a space express subjectivities pieties. shows there are divided activities at group individual level.At (majelis) level, especially Al pot...

Autonomous agents are beginning to play larger roles within team-oriented tasks and missions in various domains. Many reasoning agents are designed to perform in or assist with a single, static goal or task within an environment. Our aim is to design and develop an autonomous squad member that assists a squad with conducting a surveillance mission by identifying and reacting dynamically to chan...

Reading comprehension is an important task in NLP, which involves teaching a machine to understand text enough to answer questions. The Stanford Question Answering Dataset (SQuAD) is a dataset consisting of 100,000 question-context-answer datapoints. Here, deep learning methods are used to answer questions based on context data. A model based on the Attentive Reader [1,2] model is used as a bas...

In the realm of natural language processing, machine comprehension of textual documents is an incredibly important problem that presents various challenges and difficulties. A benchmark dataset for question answering named SQuAD is comprised of around a hundred thousand question-answer pairs, along with context paragraphs for each. The answer to each question is a span within the context, and i...

As a first experience in neural network modeling, and tensor flow usage, we try to implement a match-LSTM attention model, which is known for achieving interesting results on the SQuaD dataset leader board.

Logical modeling is increasingly popular method in system biology to explain and predict the behavior of a complex process (differentiation, cell growth, division etc. . . ) through their regulatory and signalling mechanisms. The SQUAD software (Standardized Qualitative Dynamical Systems) is dedicated to the analysis of Boolean logical models [1]. It was the first tool to combine the traditiona...