Automatic text summarization of konkani texts using pre-trained word embeddings and deep learning

<span lang="EN-US">Automatic text summarization has gained immense popularity in research. Previously, several methods have been explored for obtaining effective text summarization outcomes. However, most of the work pertains to the most popular languages spoken in the world. Through this paper, we explore the area of extractive automatic text summarization using deep learning approach and apply it to Konkani language, which is a low-resource language as there are limited resources, such as data, tools, speakers and/or experts in Konkani. In the proposed technique, Facebook’s fastText <br /> pre-trained word embeddings are used to get a vector representation for sentences. Thereafter, deep multi-layer perceptron technique is employed, as a supervised binary classification task for auto-generating summaries using the feature vectors. Using pre-trained fastText word embeddings eliminated the requirement of a large training set and reduced training time. The system generated summaries were evaluated against the ‘gold-standard’ human generated summaries with recall-oriented understudy for gisting evaluation (ROUGE) toolkit. The results thus obtained showed that performance of the proposed system matched closely to the performance of the human annotators in generating summaries.</span>

Local environmental context determines the colonisation of leaf shelters by arthropods: an experimental study

The magnitude of facilitation by shelter-building engineers on community structure is expected to be greater when they increase limited resources in the environment. We evaluated the influence of local environmental context on the colonisation of leaf shelters by arthropods in a Mexican evergreen tropical rainforest. We compared the species richness and abundance of arthropods (total and for different guilds) colonising artificially rolled leaves in habitats differing in understory heterogeneity (forest edge > old-growth forests > living fences). Arthropod abundance of the most representative arthropod taxa (i.e., Araneae, Blattodea, Collembola and Psocoptera) colonising the rolled leaves was greater at forest edge, a trend also observed for average arthropod abundance, and for detritivore and predator guilds. In addition, fewer arthropod species and individuals colonised the rolled leaves in the living fence habitat, a trend also observed for most arthropod guilds. As forest edge is expected to have a greater arthropod diversity and stronger density-dependent interactions, a greater limitation of refuges from competitors or predators may have determined the higher colonisation of the rolled leaves in this habitat. Our results demonstrate that local environment context is an important factor that affects the colonisation of arthropods in leaf shelters.

Dilemma in the Development of Modern Timber Architecture and Its Countermeasures

Under the context that “peak carbon emissions” and “carbon neutrality” are included in the overall plan for the construction of ecological civilization in China, this paper discusses the value of modern timber architecture as a form of low-carbon and environmental protection movement in the whole life cycle of the construction field. It mainly analyzes the reasons for the limited resources, misunderstandings of inherent concepts, the high cost of comprehensive construction, and the shortage of professionals. Based on that, several countermeasures have been proposed, such as perfecting relevant norms and policies, strengthening technology research and development as well as demonstration guidance, moderately developing forest resources, applying digital construction operation and maintenance technology, as well as cultivating compound professionals, all of which provide a reference for the development of ecological benefits in China’s construction industry.

Need of the Hour: Awareness on Green Banking Products

Human beings for their self-centeredness, warmth, and leisure in their life, have chosen the avenue of globalization, technological advancement, and industrialization. The price that they are paying for this avenue is the catastrophe of biodiversity, climatic changes, global warming, depleting resources, melting of glaciers, and the catastrophe of greenery. Hence environmental sustainability and sustainable development have turned into a crucial agenda in the global association. India is a rapidly flourishing nation which is backed by the industrial sectors, yet it is exposed terribly to climatic change and global warming. Due to this alarming plight, the banking sectors who are the chief financial supporter of industries that cause pollution have taken a small start: Going Green. This has given push up to the conception of green banking and it has given birth to green banking products. The green banking products target cutback of carbon impression, resource-efficient economies, and ward off wastage of the accessible limited resources. It is focused upon moving towards banking practices that are non-hazardous to the environment and aids to conserve it. These green banking products initiatives have recently kick-started in a handful of banks across the country. Fueling of green products is required at a quick pace than anticipated, as they have a close association with other sectors that forms the country’s economy. This paper skates through the Need of the Hour and the awareness on Green Banking Products.

Prochlorococcus Exudate Stimulates Heterotrophic Bacterial Competition with Rival Phytoplankton for Available Nitrogen

In nutrient-poor habitats, competition for limited resources is thought to select for organisms with an enhanced ability to scavenge nutrients and utilize them efficiently. Such adaptations characterize the cyanobacterium Prochlorococcus , the most abundant photosynthetic organism in the nutrient-limited open ocean.

Neural Fourier Energy Disaggregation

Deploying energy disaggregation models in the real-world is a challenging task. These models are usually deep neural networks and can be costly when running on a server or prohibitive when the target device has limited resources. Deep learning models are usually computationally expensive and they have large storage requirements. Reducing the computational cost and the size of a neural network, without trading off any performance is not a trivial task. This paper suggests a novel neural architecture that has less learning parameters, smaller size and fast inference time without trading off performance. The proposed architecture performs on par with two popular strong baseline models. The key characteristic is the Fourier transformation which has no learning parameters and it can be computed efficiently.

An Efficiency Measurement of E-Government Performance for Network Readiness: Non-Parametric Frontier Approach

Information and Communications Technology (ICT) network readiness competency improves service quality and provides efficient service in implementing successful e-governments. By confirming ICT network readiness of e-governments, it must be redesigned using limited resources effectively to achieve realistic goals. When ICT investment and economic performance are featured, e-government’s network readiness competency improves potential demand, supply, and service maturity. It reflects information technology (IT) development competency on performance effectively. In this study, we propose the Data Envelope Analysis (DEA) method to present a method of improving ICT network readiness between countries. We derived the ICT network’s readiness competency level and strategic plan by comparing each country for efficient ICT operation of e-governments. If we make rankings in a non-traditional and efficient manner, it will become a successful strategy for ICT in the future. This effort provides guidance for each government and a solution for the growth delay problem, which is required for advancement in ICT investment and productivity. It also guides each government to overcome marginal products.

Reversion of Ebolavirus Disease from a Single Intramuscular Injection of a pan-Ebolavirus Immunotherapeutic

Intravenous administration (IV) of antiviral monoclonal antibodies (mAbs) is challenging due to limited resources for performing infusions during an ongoing epidemic. An ebolavirus therapeutic administered via intramuscular (IM) injection would reduce these burdens and allow rapid treatment of exposed individuals during an outbreak. Here, we demonstrate how MBP134, a two mAb pan-ebolavirus cocktail, reverses the course of Sudan ebolavirus (SUDV/Gulu) disease with a single IV or IM dose in non-human primates (NHPs) as far as five days post-exposure. Furthermore, we investigated the utility of adding half-life extension mutations to the MBP134 mAbs, ultimately creating a half-life extended cocktail designated MBP431. MBP431 demonstrated an extended serum half-life in vivo and offered complete or significant protection with a single IM dose delivered as a post-exposure prophylactic (PEP) or therapeutic in NHPs challenged with EBOV. These results support the use of MBP431 as a rapidly deployable IM medical countermeasure against every known ebolavirus.

Experiences of nursing professionals involved in the care of COVID-19 patients

The outbreak of SARS-COV-2 has become an opportunity for nursing professionals of North Eastern states of India to experience handling patients during pandemics with limited resources. To explore the experiences of nursing staff in the care of COVID-19 patients. Descriptive phenomenological design was adopted to describe the experiences of nursing professionals involved in the care of COVID-19 patients in selected hospitals/COVID centers of Assam, India. The experiences of nurses caring for COVID-19 patients were summarized into 4 themes and various sub-themes. The themes include: Perspectives about COVID-19 duty, Experience on PPE kit, Conflicts & disagreements and Swab test & the final stage of isolation. Nurses reported changing patterns of nursing care, anxiety regarding COVID-19 duty, professional growth amidst risks and pressure. The nurses had to work under certain conflicts and disagreements in relation to patient care, their personal and career related decisions and interprofessional role distribution. At the final stage of isolation, most nurses were prepared to handle the situation even if they test COVID-19 positive. During this COVID-19 outbreak, positive and negative emotions of the front-line nurses interweaved and coexisted. The experience was new and challenging, the nurses had contributed in the management of COVID-19.