Predictive Data Modeling Using sp-kNN for Risk Factor Evaluation in Urban Demographical Healthcare Data

Bhatti, Uzair Aslam; Linwang, Yuan; Yu, Zhaoyuan; Nawaz, Saqib Ali; Mehmood, Adeel; Bhatti, Mughair Aslam; Zeeshan, Qurat ul Ain; Nizamani, Mir Muhammad; Zeeshan, Zeeshan; Xiao, Shengjun

doi:10.1166/jmihi.2021.3313

Cited by 23 publications

(8 citation statements)

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“…The study found that the PD, MPD and MNTD of non-native tree species were higher than those The tree species diversity of urban forests is a necessary condition for maintaining the stability of urban forests. A high level of tree species diversity helps maintain the stability of urban forests [32]. Tree species diversity is also crucial to the resilience of urban forests.…”

Section: Importance Of Roadside Tree Populationsmentioning

confidence: 99%

Analysis of Change in Diversity Pattern Due to Environmental Change to Improve the Conservation of Species

Raza¹,

Bazai²,

Li³

et al. 2022

Pol. J. Environ. Stud.

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Plant communities in cities have obvious beautification and improvement effects on the environment, and at the same time are important places and open spaces for biodiversity conservation. With the acceleration of urbanization, the research and development of urban plant communities has become a trend of urban ecological construction, and making full use of trees is also an important guiding ideology in current urban greening in my country. Therefore, this article conducts a comparative analysis and research on the species diversity of different types of plant communities in the urban area Karachi. In Karachi, which is in the province of Sindh, Pakistan, roadside trees along various road types (e.g., wide, medium and narrow roads) have been studied. Field study has been conducted on different paths of the Karachi city to understand the diversity pattern of the species. A total of 150 plots, divided into 3 categories of roads which were surveyed. The highest quantity of tree biomass per unit area was found on wide roads, followed by medium roads. On narrow roads, the least biomass was detected. A single species or a limited number of species dominated the diversity of species. Conocarpus erectus was the most dominant non-native species along all types of roads, followed by the species Guaiacum officinale. A total of 76 species (32 non-native and 44 native) that were selectively spread along the roadsides of the city were studied. There was a significant difference in phylogenetic diversity (PD), phylogenetic mean pairwise distance (MPD) and phylogenetic mean nearest taxon distance (MNTD) between different types of roads. Our study identified patterns of diversity in roadside trees in Karachi.

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Section: Importance Of Roadside Tree Populationsmentioning

confidence: 99%

Analysis of Change in Diversity Pattern Due to Environmental Change to Improve the Conservation of Species

Raza¹,

Bazai²,

Li³

et al. 2022

Pol. J. Environ. Stud.

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“…There is only a small probability that agarwood trees will produce incense, and therefore it is necessary to determine the conditions that will make agarwood trees produce incense [7,8]. Many environmental conditions are required to produce good agarwood with respect to the surroundings [9][10][11].…”

Section: Environmental Conditions For the Growth Of Agarwoodmentioning

confidence: 99%

In-Depth Chemical Analysis of Particulate Matter Emitted by Agarwood: Study of Environmental Impact

Kaleri¹,

Dai²,

Song³

et al. 2021

Pol. J. Environ. Stud.

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Agarwood is mainly used to make incense, perfume, traditional Chinese medicine, and other products. In some parts of China, some consumers use cigarettes that contain agarwood. Not all Aquilaria trees can generate agarwood; only trees that are damaged by natural and artificial means form resin. Due to the short time of forming resin, there are some differences in the quality of agarwood. This paper studies the effects of the application of cultivated agarwood in incense, cigarettes, and essential oil. First, the differences in combustion as an incense of this cultivated agarwood and three samples of natural agarwood were researched, and the cytotoxic and genotoxic of aerosols of combustion were tested. Subsequently, the effect of the application of this cultivated agarwood in cigarettes was studied. The particulate matter particles of four samples of agarwood incense burning smoke were detected. The ultrafine particles and fine particles accounted for the vast majority (more than 99%) by number and by mass, and these can enter the human alveoli and have a negative impact on health.

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“…Although each approach can achieve good results, they rely heavily on time- and energy-consuming pattern matching and feature engineering and have poor generalization ability. Through the application of deep learning in the field of NER and other fields ( Chiu and Nichols, 2016 ; Bhatti et al., 2020b ), researchers have developed various techniques for medical science ( Zhao et al., 2019 ; Bhatti et al., 2021 ; Nawaz et al., 2021 ), cyber security ( Li T et al, 2020 ), agriculture ( Biswas and Sharan, 2021 ), social media ( Aguilar et al., 2017 ) and environmental science ( Bhatti et al., 2020a ; Aamir et al., 2021 ; Galvan et al., 2022 ). In the field of Chinese NER (CNER), because sentences in Chinese texts are not naturally separated, unlike sentences in English, there is no obvious border symbol.…”

Section: Introductionmentioning

confidence: 99%

Lexicon and attention-based named entity recognition for kiwifruit diseases and pests: A Deep learning approach

et al. 2022

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Named Entity Recognition (NER) is a crucial step in mining information from massive agricultural texts, which is required in the construction of many knowledge-based agricultural support systems, such as agricultural technology question answering systems. The vital domain characteristics of Chinese agricultural text cause the Chinese NER (CNER) in kiwifruit diseases and pests to suffer from the insensitivity of common word segmentation tools to kiwifruit-related texts and the feature extraction capability of the sequence encoding layer being challenged. In order to alleviate the above problems, effectively mine information from kiwifruit-related texts to provide support for agricultural support systems such as agricultural question answering systems, this study constructed a novel Chinese agricultural NER (CANER) model KIWINER by statistics-based new word detection and two novel modules, AttSoftlexicon (Criss-cross attention-based Softlexicon) and PCAT (Parallel connection criss-cross attention), proposed in this paper. Specifically, new words were detected to improve the adaptability of word segmentation tools to kiwifruit-related texts, thereby constructing a kiwifruit lexicon. The AttSoftlexicon integrates word information into the model and makes full use of the word information with the help of Criss-cross attention network (CCNet). And the PCAT improves the feature extraction ability of sequence encoding layer through CCNet and parallel connection structure. The performance of KIWINER was evaluated on four datasets, namely KIWID (Self-annotated), Boson, ClueNER, and People’s Daily, which achieved optimal F1-scores of 88.94%, 85.13%, 80.52%, and 92.82%, respectively. Experimental results in many aspects illustrated that methods proposed in this paper can effectively improve the recognition effect of kiwifruit diseases and pests named entities, especially for diseases and pests with strong domain characteristics

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Predictive Data Modeling Using sp-kNN for Risk Factor Evaluation in Urban Demographical Healthcare Data

Cited by 23 publications

References 0 publications

Analysis of Change in Diversity Pattern Due to Environmental Change to Improve the Conservation of Species

Analysis of Change in Diversity Pattern Due to Environmental Change to Improve the Conservation of Species

In-Depth Chemical Analysis of Particulate Matter Emitted by Agarwood: Study of Environmental Impact

Lexicon and attention-based named entity recognition for kiwifruit diseases and pests: A Deep learning approach

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