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artículo

Addressing the real world problem of managing wireless communication systems using explainable ai-based models through correlation analysis

Publicado por
Panduro Ramirez, Jeidy Gisell, Surya, S., Gupta, Sumeet, Mehbodniya, Abolfazl, Rao Kapula, Prabhakara, Alam, Tanweer, Kaliyaperumal, Karthikeyan

Publicado 2022

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In a general parlance, wireless communication tends to be investigated based on the available methods that support enhancing the optimized data link, especially the software-based methods. AI is mainly used to create and design efficient communication network systems and variable node locations. The major factors impacting wireless communications in the current context are enhanced channel frequency, efficiency of using the bandwidth, and modulation type. The software-defined ratio enables collecting the information and analyzing the overall signal-related components and processing them in real-time situations. This will support in detecting unnecessary information and identifying latency at each stage of communication. The study is intended to measure the influence of critical factors in enhancing the overall management of wireless communication systems through the application of AI tec...

artículo

Anxiety and its risk factors among non-Japanese residents living in Japan undergoing COVID-19 situation: A cross-sectional survey

Publicado por
Luu, Mai Ngoc, Imoto, Atsuko, Matsuo, Yoshimi, Huy, Nguyen Tien, Qarawi, Ahmad, Alhady, Shamael Thabit Mohammed, Van Truong, Le, Yoshino, Ryuji, Duc, Nguyen Tran Minh, Tabei, Kozue, Lu, Yixiao, Singh, Manmeet Kaur, Truong, Mai Phuong, Dumre, Shyam Prakash, Rocha, Ian Christopher Naungayan, Hung, I. Chun, Fudo, Akane, Sato, Miho, Kansakar, Sajog, Tsukamoto, Akiko, Komatsu, Aiko, Cai, Guoxi, Moji, Kazuhiko, Khongyot, Thanawat, Mogan, Saruveish, Soukdavone, Souksavath, Hartuti, Endah Dwi, Thidatheb, Kounnavong, Honda, Shiho, Woo, Hyunjae, Lama, Nitu, Huynh, Vy Thi Nhat, Khoa, Huynh Le Anh, Abbas, Kirellos Said, Monib, Fatma A., Omran, Hoda Aly Mohamed, Rezq, Chiristine Samuel, Qatora, Mostafa Shehata, Ng, Sze Jia, Morena, Graca Jaqueline Vanessa, Miranda, Adriana Viola, Huynh, Minh Trang Ngo, Ota, Junko, Minjung, Kim, An, Jaemin, Vorlasane, Latdavanh, Gunasegaran, Kesshinee, Zulkefli, Fazureen, de Jesús Lima Girón, Belen, Bhattachan, Punita Gauchan, Dumre, Renu Bhandari, Pandey, Kishor, Yamashita, Sarina, Seposo, Aden Kay Celis, Zabala, Jayson, Riva-Moscoso, Adrián, Ordóñez, Joyce Nicole Pineda, Uitrakul, Suriyon, Principe-Meneses, Fortunato S., Dila, Kadek Agus Surya

Publicado 2024

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Introduction In the context of collective efforts taken in Japan to control the spread of COVID-19, the state of emergency and social distancing have caused a negative impact on the mental health of all residents, including foreign communities in Japan. This study aimed to evaluate the level of anxiety and its associated factors among non-Japanese residents residing in Japan during the COVID-19 pandemic. Methods A web-based survey in 13 languages was conducted among non-Japanese residents living in Japan during the COVID-19 situation. The State-Trait Anxiety Inventory assessed the level of anxiety–State (STAI-S) scores prorated from its six-item version. The multivariable logistic regression using the Akaike Information Criterion (AIC) method was performed to identify the associated factors of anxiety among participants. Results From January to March 2021, we collected 392 responses. A...