Application of Improved SMOTE and XGBoost Algorithm in the Analysis of Psychological Stress Test for College Students by Wei Du

“…Firstly, we extracted features from cell phone data to generate samples, processed the samples by SMOTE, and then filtered features by XGBoost algorithm to filter features; meanwhile, we trained RF, SVM, BP, and KNN with the data before and after sampling and before and after feature screening, and the results showed that Improved SMOTE + XGBoost outperformed other methods.…”
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Energy Saving in Data Processing and Communication Systems by Giuseppe Iazeolla, Alessandra Pieroni

“…Dp systems are also used in the government of Tlc systems, which, besides requiring Dp electrical power, also require Tlc-specific power, both for mobile networks (with their cell-phone towers and associated subsystems: base stations, subscriber stations, switching nodes, etc.) and for wired networks (with their routers, gateways, switches, etc.). …”
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Research and realization of the Trojan detection engine based on Android by Bin XIA, Feng QIU

“…The Trojan detection engine called TDE, with the assistance of this feature code library, would be able to take out a quick scan among the files in the cell phone and detect malicious programs in mobile applications. …”
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Sentiment Analysis of Mobile Phone Reviews Using XGBoost and Word Vectors by Wang Zekai

“…The research is based on the consumer reviews of online cell phone e-commerce, The paper constructs a sentiment dictionary in this field based on the Sentiment Oriented Point Mutual Information (SO-PMI) algorithm, and the sentiment weight of the review word vectors. …”
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Effect of Electronic Messaging on Physical Activity Participation among Older Adults by Chantrell Antoine Parker, Rebecca Ellis

“…Electronic messaging delivered via cell phones was effective at increasing min of aerobic PA among older adults.…”
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Driver Distraction Identification with an Ensemble of Convolutional Neural Networks by Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa

“…Existing work of distracted driver detection is concerned with a small set of distractions (mostly, cell phone usage). Unreliable ad hoc methods are often used. …”
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An Intelligent Framework Based on Deep Learning for SMS and e-mail Spam Detection by Umair Maqsood, Saif Ur Rehman, Tariq Ali, Khalid Mahmood, Tahani Alsaedi, Mahwish Kundi

“…The use of short message service (SMS) and e-mail have increased too much over the last decades. 80% of people do not read e-mails while 98% of cell phone users daily read their SMS. However, these communication media are unsafe and can produce malicious attacks called spam. …”
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Information and communications technologies use by medical sciences’ students by Rafaela Nayibe Curi Mendoza, Nayibe Reytor Curi

“…<br /><strong>Results</strong>: 100% of the students reported that they accessed the internet; most of them (86.6%) by a cell phone. 56.6% expressed that they connect more than 8 hours a day. 26.7% used it in academic tasks. 93.3% used social networks: Facebook for 100% of them; 93.3% WhatsApp. …”
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Psychometric properties of the Nomophobia Questionnaire (NMP-Q) in Peruvian adolescents by Joel Figueroa-Quiñones, Miguel Ipanaqué-Zapata, Oriana Rivera-Lozada, Giusepi Zevallos Mayanga, Diana Gonzales Diaz

“…BackgroundAdolescence and technological devices have a close relationship during this stage in which anxiety about using a cell phone increases when it is not available. The Nomophobia Scale (NMP-Q) is a measure that evaluates anxiety behaviors when being without a mobile phone.ObjectiveTo evaluate the psychometric properties of the Nomophobia Questionnaire (NMP-Q) in Peruvian adolescents.MethodsAn instrumental study was conducted and 900 adolescents of both sexes, between 12 and 17 years old, living in northern, rural, and eastern regions of Peru were evaluated. …”
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Chronic noncommunicable diseases among college students: Simultaneity of risk behaviors by Vitória Barbosa da Costa, Lorena Ribeiro Soares dos Santos, Cristiane Feitosa Salviano, Andréia Guedes Oliva Fernandes

“…RESULTS: A high prevalence of risk factors was observed, these being: inadequate eating habits, use of television, computer, tablet or cell phone, physical inactivity and family history of NCDs. …”
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A unique case report on campylobacter rectus infection leading to acute motor axonal neuropathy in a pediatric patient by Uchechukwu Ibewuike, MBBS, John Kim, MD, Swati Mody, MBBS, Gregory Obala, MD, Ebere Ibezim, MBBS

“…About 1 week before his admission, the patient sustained an injury to his left eye from a cell phone, resulting in considerable edema. A punch biopsy of the left periorbital soft tissue yielded a culture positive for Campylobacter rectus. …”
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Investigating the Effect of Urban New Technologies on the Iranian Lorry Drivers’ Behavior by Abdolreza Sheikholeslami, Ehsan Ayazi, Ali Moghadari

“…To achieve the goals, the required information was categorized into six categories: traffic tonnage, not fastening the seatbelt, speeding, technical defect, talking on cell phone, and lacking towing worksheet; these factors are known as dependent variables. …”
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Ultrafast enzyme-responsive hydrogel for real-time assessment and treatment optimization in infected wounds by Yitao Zhao, Yong Tan, Chun Zeng, Weilun Pan

“…The bacterial detection process takes only 10 min with high sensitivity, and the results can be readily recognized by the naked eye or quantified using a cell phone-based digital analysis. Moreover, the HDG hydrogel provides a dual antibacterial mechanism through chemical and photothermal therapies via the generated PDA, significantly improving bacterial clearance. …”
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Phubbing as a Social Norm: Effects on Fear of Missing Out (FoMO) and Perceived Exclusion by Miguel Ángel Albalá-Genol, Edgardo Etchezahar, Talía Gómez-Yepes, Joaquin Ungaretti

“…Phubbing is a term that comes from two words «phone» and «snubbing» and represents the act of ignoring a person in a real life setting by paying attention to their cell phone. This behavior may be normalized or cause social difficulties in certain situations. …”
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Midwife-led birthing centre in the humanitarian setup: An experience from the Rohingya camp, Bangladesh. by Abdul Halim, Abu Sayeed Md Abdullah, Fazlur Rahman, Oliva Bazirete, Sabera Turkmani, Kirsty Hughes, Sofia Castro Lopes, Andrea Nove, Mandy Forrester, Vanessa Scarf, Emily Callander, Caroline S E Homer

“…Challenges included language barriers, difficulty obtaining transport from home and back particularly at night in remote areas, security fears and weak cell phone coverage that affected communication for referral and follow-up. …”
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A Structural Comparison between the Origin-Destination Matrices Based on Local Windows with Socioeconomic, Land-Use, and Population Characteristics by Shahriar Afandizadeh Zargari, Amirmasoud Memarnejad, Hamid Mirzahossein

“…The proposed method was tested on Tehran’s OD matrix extracted from cell phone Geographic Position System (GPS) data. The advantage of this method over two previous ones was observed in determining the new pattern of trips on local windows and more precise detection of SSIM of the weekdays. …”
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A green approach to recovering lithium and cobalt from spent lithium-ion batteries using dilute HCl solution mixed with H. sabdariffa flower extract as a leaching agent by Tran T.T., Nguyen T.H., Nguyen P.D., Lee M.S.

“…In this work, an effective process for the recycling of lithium and cobalt from spent cell phone lithium batteries was investigated using HCl solution at low concentrations in combination with H. sabdariffa flower extract. …”
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Additives in foods marketed to children in Uruguay, an emerging Latin American country by Florencia Alcaire, Ana Giménez, Gastón Ares

“…All packaged products available in each supermarket were surveyed using a cell phone app, except for culinary ingredients. All the information from the labels was extracted. …”
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Real-Time Plant Health Detection Using Deep Convolutional Neural Networks by Mahnoor Khalid, Muhammad Shahzad Sarfraz, Uzair Iqbal, Muhammad Umar Aftab, Gniewko Niedbała, Hafiz Tayyab Rauf

“…A random dataset image served as the model’s input via a cell phone. This research is beneficial for farmers since it allows them to recognize diseased leaves as soon as they noted and take the necessary precautions to halt the disease’s spread. …”
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Evaluating the Safety and Usability of an Over-the-Counter Medical Device for Adults With Mild to Moderate Hearing Loss: Formative and Summative Usability Testing by Megan Elizabeth Salwei, Shilo Anders, Carrie Reale, Jason M Slagle, Todd Ricketts, Matthew B Weinger

“…Participants had the most difficulty with the task of pairing the hearing aids to the cell phone. Participants also had difficulty distinguishing the right and left earbuds. …”
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