ABM and GIS Integration for Investigating the Influential Factors Affecting Wildfire Evacuation Performance

Author(s):  
Qi Sun ◽  
Yelda Turkan
Author(s):  
Юлия Владимировна Татаркова ◽  
Татьяна Николаевна Петрова ◽  
Олег Валериевич Судаков ◽  
Александр Юрьевич Гончаров ◽  
Ольга Николаевна Крюкова

В настоящей статье представлен обзор основных решений, доступных сегодня для формирования как краткосрочных, так и долгосрочных проекций заболеваемости болезней глаза и его придаточного аппарата в студенческой среде. С другой стороны, существует ряд проблем, связанных с многообразием факторов, влияющих на заболеваемость, статистической необоснованностью и противоречивостью имеющихся результатов анализа данных. Представлены результаты математического моделирования зависимости показателя заболеваемости от наиболее влиятельных факторов образовательной и социальной среды. Перечислены важнейшие направления разработки математических моделей распространения заболеваемости. С помощью разработанного программного комплекса проведена серия вычислительных экспериментов по оценке и прогнозированию заболеваемости обучающихся в вузах разного профиля. Показана эффективность применения методики многовариантного моделирования и прогнозирования, указаны их ограничения и возможности практического применения. По расположению обобщенной области благоприятного прогноза в факторном пространстве можно определить время воздействия неблагоприятных для зрения факторов, которое должно составлять не более 10 ... 11 часов в сутки, количество профилактических мероприятий должно составлять не менее 3 ... 4. При этом риск развития миопии составит не более 0,4, вероятность усталости глаз за компьютером составит не более 0,4, вероятность дискомфорта глаз на занятиях составит не более 0,15. Исходя из характера прогноза, определяется длительность диспансерного наблюдения, а также потребность профилактических мероприятий по устранению или ослаблению действия неблагоприятно влияющих социально-гигиенических и медико-биологических факторов конкретного больного. Использование прогностической матрицы в практическом здравоохранении позволяет существенно улучшить работу по профилактике офтальмологической заболеваемости и является одним из эффективных мероприятий диспансеризации студенческой молодежи, так как дает возможность выделить из числа обучающихся группу с высоким риском неблагоприятного исхода заболевания This article provides an overview of the main solutions available today for the formation of both short-term and long-term projections of the incidence of eye diseases and its adnexa in the student environment. On the other hand, there are a number of problems associated with a variety of factors affecting the incidence, statistical unreasonability and inconsistency of the available data analysis results. The results of mathematical modeling of the dependence of the incidence rate on the most influential factors of the educational and social environment are presented. The most important areas of developing mathematical models for the spread of morbidity are listed. With the help of the developed software package, a series of computational experiments was carried out to assess and predict the incidence of students in universities of various profiles. The effectiveness of the application of multivariate modeling and forecasting methods is shown, their limitations and practical application possibilities are indicated. By the location of the generalized region of favorable prognosis in the factor space, it is possible to determine the exposure time of factors unfavorable for vision, which should be no more than 10 ... 11 hours a day, the number of preventive measures should be at least 3 ... 4. At the same time, the risk of development myopia will be no more than 0.4, the probability of eye fatigue at the computer will be no more than 0.4, the likelihood of eye discomfort in the classroom will be no more than 0.15. Based on the nature of the forecast, the duration of the follow-up observation is determined, as well as the need for preventive measures to eliminate or weaken the action of adverse social, hygienic and biomedical factors of a particular patient. The use of the prognostic matrix in practical health care can significantly improve the work on the prevention of ophthalmic morbidity and is one of the effective medical examinations for students, since it makes it possible to distinguish among the students a group with a high risk of an unfavorable outcome of the disease


2020 ◽  
Vol 9 (1) ◽  
pp. 170-181 ◽  
Author(s):  
Shangyong Zhang ◽  
Ruipeng Zhong ◽  
Ruoyu Hong ◽  
David Hui

AbstractThe surface activity of carbon black (CB) is an important factor affecting the reinforcement of rubber. The quantitative determination of the surface activity (surface free energy) of CB is of great significance. A simplified formula is obtained to determine the free energy of CB surface through theoretical analysis and mathematical derivation. The surface free energy for four kinds of industrial CBs were measured by inverse gas chromatography, and the influential factors were studied. The results showed that the aging time of the chromatographic column plays an important role in accurate measurement of the surface free energy of CB, in comparison with the influences from the inlet pressure and carrier gas flow rate of the chromatographic column filled with CB. Several kinds of industrial CB were treated at high temperature, and the surface free energy of CB had a significant increase. With the increase of surface free energy, the maximum torque was decreased significantly, the elongation at break tended to increase, the heat generation of vulcanizates was increased, and the wear resistance was decreased.


Author(s):  
Kisook Kim ◽  
Hyohyeon Yoon

The study aimed to identify and compare the factors affecting health-related quality of life (HRQoL) depending on the occupational status of cancer survivors. This study was a secondary data analysis from the Korea National Health and Nutrition Examination Survey (KNHANES) from 2014 to 2018. Hierarchical multivariate linear regression was used to investigate the factors affecting the HRQoL of each group. Non-working cancer survivors had significantly lower HRQoL than working cancer survivors (p < 0.001). A hierarchical multiple regression model showed that demographic, health-related, and psychological characteristics explained 62.0% of non-working cancer survivors’ HRQoL (F = 4.29, p < 0.001). Among the input variables, health-related characteristics were the most influential factors (ΔR2 = 0.274, F = 9.84, p < 0.001). For working cancer survivors, health-related characteristics were the only variable that was statistically associated with HRQoL (F = 5.556, p < 0.001). It is important to enhance physical activities and manage the chronic disease to improve the HRQoL of working cancer survivors. Further, managing health-related characteristics, including depressive symptoms and suicidal ideation, is necessary for non-working cancer survivors. Regarding working survivors, psychological factors such as depressive symptoms and suicidal tendencies did not affect HRQoL. Therefore, an early and effective return to work program should be developed for the improvement of their HRQoL.


2021 ◽  
Author(s):  
Farhad Khosrojerdi ◽  
Stephane Gagnon ◽  
Raul Valverde

2017 ◽  
Vol 25 (3) ◽  
pp. 21-39 ◽  
Author(s):  
Luan Gao ◽  
Luning Liu ◽  
Yuqiang Feng

Prior research on ERP assimilation has primarily focused on influential factors at the organizational level. In this study, the authors attempt to extend their understanding of individual level ERP assimilation from the perspective of social network theory. They designed a multi-case study to explore the relations between ERP users' social networks and their levels of ERP assimilation based on the three dimensions of the social networks. The authors gathered data through interviews with 26 ERP users at different levels in five companies. Qualitative analysis was used to understand the effects of social networks and interactive learning. They found that users' social networks play a significant role in individual level ERP assimilation through interactive learning among users. They also found five key factors that facilitate users' assimilation of ERP knowledge: homophily (age, position and rank), tie content (instrumental and expressive ties), tie strength, external ties, and centrality.


2021 ◽  
Vol 11 (22) ◽  
pp. 10537
Author(s):  
Adi A. AlQudah ◽  
Mostafa Al-Emran ◽  
Khaled Shaalan

Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technologies and services and covers distinctive trends in large-scale research remains lacking. Therefore, this review aims to systematically review the articles published on technology acceptance in healthcare. From a yield of 1768 studies collected, 142 empirical studies have met the eligibility criteria and were extensively analyzed. The key findings confirmed that TAM and UTAUT are the most prevailing models in explaining what affects the acceptance of various healthcare technologies through different user groups, settings, and countries. Apart from the core constructs of TAM and UTAUT, the results showed that anxiety, computer self-efficacy, innovativeness, and trust are the most influential factors affecting various healthcare technologies. The results also revealed that Taiwan and the USA are leading the research of technology acceptance in healthcare, with a remarkable increase in studies focusing on telemedicine and electronic medical records solutions. This review is believed to enhance our understanding through a number of theoretical contributions and practical implications by unveiling the full potential of technology acceptance in healthcare and opening the door for further research opportunities.


2021 ◽  
Author(s):  
wonkyo shin ◽  
Sang-yoon Park ◽  
Sokbom Kang ◽  
Myongcheol Lim ◽  
Sang-Soo Seo

Abstract Backgrounds: We aimed to evaluate the prognosis in patients with synchronous endometrial and ovarian cancer (SEOC) by comparing the differences between double primary cancer (DPC) and metastatic cancer (MC). Methods: The medical records of 47 patients diagnosed synchronously with endometrial and ovarian cancer between January 2006 and December 2018 were retrospectively reviewed. Twenty-eight and 19 patients were diagnosed with DPC and MC, respectively. Demographics, recurrence-free survival (RFS), and 5-year overall survival (OS) were compared. The clinical factors affecting survival were evaluated using univariate and multivariate analyses.Results: The demographics were not different between both groups. Endometrioid histology and the International Federation of Gynecology and Obstetrics grade were higher in the MC group than in the DPC group (42.1% vs. 10.7 %; P=0.018, P=0.002, respectively). The ratio of post-operative adjuvant therapy was not different in both groups. Recurrence occurred in five patients with DPC and seven with MC. The difference in RFS was not significantly different (P=0.131) but the OS was different between both groups (P = 0.020). Histology and para-aortic lymph node metastasis were associated wtih RFS in univariate analysis, but no difference was found in multivariate analysis.Conclusions: Although DPC patients had longer OS, multivariate analysis did not identify any influential factors. Focus should be placed on defining the appropriate adjuvant treatment for high-risk patients, which will improve prognosis, rather than on discriminating between DPC and MC.


Author(s):  
Duong Dac Quang Hao ◽  
Tran Thai Hoa ◽  
Nguyen Huu Dung

Abstract: This study aims to develop and test the integrative model of the factors affecting customers’ acceptance intention of the adoption of blockchain technology. Data were collected from a sample of 195 customers who have been conducting transactions at Dong A Bank – Hue branch. Samples are selected by using the systematic random sampling method. Structural equation modelling (SEM) is used to test the hypothesized relationships. The findings indicate that six out of eight tested relationships are supported. Perceived usefulness (PU) and Perceived ease of use (PEU) are the most critical factors affecting customers’ Attitude (AT). Attitude also has a direct and positive correlation to customers’ acceptance Intention (IN). Notably, Personal characteristics (PC) and Risk perception (RP) are the two most influential factors affecting Perceived usefulness. And, the Perceived ease of use factor is only affected by customers’ Self-command (SC). In general, this study contributes to enriching the existing knowledge of blockchain adoption in banks and helps banks figure out an efficient way to adopt blockchain technology.Keywords: customers’ acceptance, blockchain adoption, Dong A Bank, Hue branch


Pujangga ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 48
Author(s):  
Evi Jovita Putri ◽  
Gilang Ilham Agustinus ◽  
Intan Kusuma Wardhani

ABSTRACT This research aims to analyze the effectiveness of YouTube-based videos as a media in learning daily English conversation for children and to identify factors affecting learning daily English conversation for children by using YouTube-based videos as a media. To obtain the aims, this research uses six children whose ages vary from ten to twelve years old lived in Asrama Yatim Mizan Amanah located at Jalan Salihara, Pasar Minggu, South Jakarta as the source of data. Descriptive qualitative method is applied as the research design. In collecting data, the researchers gather the result of learning activities in pre-tests, treatments, and post-tests. Meanwhile, in analyzing the data, the researchers compare the children’s pre-test score with their post-test score to see the development of learning which show their competence before and after being treated. in this case, the research is focused on two topics, Greeting and Introduction in English. The children are introduced some expressions of greeting and introduction in English children by using YouTube-based videos, then some roleplays or conversation containing expressions of greeting and introduction are shown to the children by watching together YouTube-based videos. The last, the children are asked to recognize and practice the expression of greeting and introduction in English. The result shows that the usage of YouTube based video as a media in learning daily English conversation for children is considered effective. Four out of six children are able to memorize new expressions of both greeting and introduction in English, whereas the two other children remains stagnant after learning using YouTube based videos. It is found that there are factors that affect learning English for children by using this media, they are; personality, motivation and attitude, intelligent, learners’ belief, and personality. The most influential factors affecting learning are motivation and attitude. The successful children have these factors stronger rather than the stagnant children. Based on the result, the effectiveness in learning English using YouTube-based videos will be stronger if it is supported by an interactive and conducive learning atmosphere. The learning atmosphere should be considered to achieve a stronger speaking English proficiency. Key words: YouTube based-videos, language learning, daily English conversation ABSTRAK Penelitian ini ditujukan untuk menganalisis keefektifan penggunaan video berbasis YouTube sebagai media dalam belajar percakapan bahasa Inggris sehari-hari pada anak-anak dan untuk mengidentifikasi faktor yang mempengaruhi pembelajaran percakapan bahasa Inggris sehari-hari pada anak-anak yang menggunakan video berbasis YouTube. Untuk mencapai tujuan tersebut, penelitian ini menjadikan enam orang anak berumur sepuluh hingga dua belas tahun yang tinggal di Asrama Yatim Mizan Amanah Jalan Salihara, Pasar Minggu, Jakarta Selatan sebagai sumber data. Penelitian ini menggunakan metode descriptive qualitative. Disini, proses pengumpulan data meliputi pengumpulan hasil pre-tests, treatment, dan post-test. Sementara itu, proses analisis data dilakukan dengan cara membandingkan skor pre-test dengan skor post-test pembelajar untuk melihat perkembangan pembelajaran yang menunjukkan perkembangan anak-anak sebelum dan sesudah pembelajaran. Penelitian difokuskan pada dua topik pembelajaran yaitu sapaan dan perkenalan bahasa Inggris. Dalam hal ini anak-anak diajak mengenal ekspresi sapaan dan perkenalan dalam Bahasa Inggris melalui video yang ada pada YouTube. Kemudian menonton beberapa simulasi dari perilaku menyapa dan berkenalan dalam Bahasa Inggris juga melalui video You-Tube. Pada tahap terakhir, para pembelajar ini diminta untuk berlatih mengingat dan mempraktekkan ungkapan sapaan dan perkenalan dalam Bahasa Inggris Hasil penelitian menunjukkan bahwa penggunaan video berbasis YouTube sebagai media belajar percakapan bahasa Inggris sehari-hari adalah efektif. Empat dari 6 anak mampu mengingat kosakata sapaan dan perkenalan yang baru secara signifikan setelah belajar menggunakan media video berbasis You Tube, meskipun ada 2 anak yang tidak mengalami peningkatan. Ada beberapa faktor yang memengaruhi pembelajaran pada anak-anak tersebut diantaranya kepribadian, motivasi dan sikap, kecerdasan, dan keyakinan. Faktor yang paling berpengaruh pada pembelajaran adalah motivasi dan sikap. Anak-anak yang mengalami peningkatan belajar yang pesat memiliki faktor motivasi dan sikap yang lebih kuat dibanding anak-anak yang tidak mengalami peningkatan. Berdasarkan hasil tersebut, keefektifan dalam belajar percakapan Bahasa Inggris sehari-hari menggunakan video YouTube menjadi lebih besar jika didukung oleh atmosfer belajar yang interaktif dan kondusif. Hal ini mesti diperhatikan guna mencapai kemampuan Bahasa Inggris lisan yang lebih baik. Kata Kunci: Video YouTube, Pembelajaran Bahasa, Percakapan dasar dalam Bahasa Inggris.


Author(s):  
K. B. E. E. Eimeleus

This chapter shows how the quality of snow and its behavior are the most influential factors affecting a ski run. Both can change depending on the time of year and the weather. As such, a skier's speed and stamina are closely bound to these two factors. Snow and weather exert more influence than one might think: for example, in nice weather a good skier can cover from 80 to 100 versts in a day but in bad weather one's daily distance could be less. The chapter thus categorizes snow briefly as powdery, loose, granulated, thick-packed crust, thin-layer crust, floury, springtime, and waterlogged. Each of these can have varying effects on skis.


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