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2022 ◽  
Vol 54 (8) ◽  
pp. 1-35
Author(s):  
Haiman Tian ◽  
Maria Presa-Reyes ◽  
Yudong Tao ◽  
Tianyi Wang ◽  
Samira Pouyanfar ◽  
...  

From the start, the airline industry has remarkably connected countries all over the world through rapid long-distance transportation, helping people overcome geographic barriers. Consequently, this has ushered in substantial economic growth, both nationally and internationally. The airline industry produces vast amounts of data, capturing a diverse set of information about their operations, including data related to passengers, freight, flights, and much more. Analyzing air travel data can advance the understanding of airline market dynamics, allowing companies to provide customized, efficient, and safe transportation services. Due to big data challenges in such a complex environment, the benefits of drawing insights from the air travel data in the airline industry have not yet been fully explored. This article aims to survey various components and corresponding proposed data analysis methodologies that have been identified as essential to the inner workings of the airline industry. We introduce existing data sources commonly used in the papers surveyed and summarize their availability. Finally, we discuss several potential research directions to better harness airline data in the future. We anticipate this study to be used as a comprehensive reference for both members of the airline industry and academic scholars with an interest in airline research.


2022 ◽  
Vol 54 (8) ◽  
pp. 1-37
Author(s):  
M. G. Sarwar Murshed ◽  
Christopher Murphy ◽  
Daqing Hou ◽  
Nazar Khan ◽  
Ganesh Ananthanarayanan ◽  
...  

Resource-constrained IoT devices, such as sensors and actuators, have become ubiquitous in recent years. This has led to the generation of large quantities of data in real-time, which is an appealing target for AI systems. However, deploying machine learning models on such end-devices is nearly impossible. A typical solution involves offloading data to external computing systems (such as cloud servers) for further processing but this worsens latency, leads to increased communication costs, and adds to privacy concerns. To address this issue, efforts have been made to place additional computing devices at the edge of the network, i.e., close to the IoT devices where the data is generated. Deploying machine learning systems on such edge computing devices alleviates the above issues by allowing computations to be performed close to the data sources. This survey describes major research efforts where machine learning systems have been deployed at the edge of computer networks, focusing on the operational aspects including compression techniques, tools, frameworks, and hardware used in successful applications of intelligent edge systems.


SUSTAINABLE ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 42
Author(s):  
Sriyati Sriyati

The purpose of this study was to determine the extent to which the calculation of the cost of production using the full costing method the determine the cost of production at PT.Cahaya Agro Teknik Surabaya. Researchers used data sources consisting of primary data consisting of primary data and secondary data. The secondary theory is the theory obtained from the existing literature theory data, while the primary data is obtained from the company PT. Cahaya Agro Teknik Surabaya. In this study, the researcher used descriptive method with a qualitative method approach. Descriptive research method is research on problems that occur in the company and qualitative method is a research procedure that produces descriptive data consisting of written or oral forms of people and behaviors that researchers observe. The tools used for research use the full costing method. The researchers use the full costing method because the full costing method is one method of determining the costs of production that takes into account all elements of production costs into the costs of production. The results of the research that researchers have done are in calculating the cost of production using the full costing method to produce a higher value than the method applied by PT. Cahaya Agro Teknik Surabaya. This is because PT. Cahaya Agro Teknik Surabaya does not fully calculate the costs, both variable and fixed. The results of the analysis in calculating the cost of production using the full costing method for plastic 50 miliing mechines amounting to Rp.170.723.300, plastic 100 milling machines of Rp.300.976.260, plastic 200 milling mechines of Rp .509.424.300 and coconut milk machine of Rp. 169.424.300 Keywords: Full Costing Method, Cost of Production, Analysis Tujuan penelitian ini adalah untuk mengetahui sejauh mana perhitungan harga pokok produksi dengan menggunakan Metode full costing untuk menetapkan harga pokok produksi pada PT. Cahaya Agro Teknik Surabaya. Peneliti menggunakan sumber data yang terdiri dari data primer dan data sekunder. Teori sekunder adalah teori yang diperoleh dari data kepustakaan yang ada, sedangkan data primer diperoleh dari perusahaan PT. Cahaya Agro Teknik Surabaya.Dalam penelitian ini peneliti menggunakan Metode diskriptif dengan pendekatan Metode kualitatif. Metode penelitian kualitatif deskriptif adalah penelitian terhadap masalah yang terjadi diperusahaan dan Metode kualitatif adalah prosedur penelitian yang menghasilkan data secara deskriptif yang terdiri dari kata bentuk tertulis atau lisan dari orang-orang yang peneliti amati. Alat yang digunakan untuk penelitian menggunakan Metode Full Costing karena Metode penentuan harga pokok produksi yang memperhitungkan semua unsur biaya produksi ke Dalam harga pokok produksi.Hasil peneliti yang telah peneliti lakukan adalah Dalam perhitungan harga pokok produksi dengan menggunakan Metode full costing menghasilkan nilai yang lebih tinggi dibandingkan dengan Metode yang diterapkan oleh PT.Cahaya Agro Teknik Surabaya. Hal ini dikarenakan PT.Cahaya Agro Teknik Surabaya tidak sepenuhnya melakukan perhitungan harga pokok produksi baik yang bersifat variable maupun tetap. Hasil analisis Dalam perhitungan harga pokok produksi menggunakan Metode full costing untuk mesin giling plastic 50 sebesar Rp 170.723.300, Mesin Giling Plastik 100 sebesar Rp 300.976.300, Mesin Giling Plastik 200 Sebesar Rp 509.424.300 dan mesin peras santan sebesar Rp 169.424.300. Kata Kunci: Metode Full Costing, Harga Pokok Produksi, Analisis


2021 ◽  
Author(s):  
Jack Mulder ◽  
Peter A. Cawood

Table S1 (global compilation of monazite ages); Table S2 (compilation of whole rock geochemistry of monazite-bearing rocks); data sources for the zircon ages from the Himalayan orogen and Figure S1 (comparison of monazite and zircon age histograms and cross-correlation results based on the monazite dating method).<br>


2021 ◽  
Vol 7 (5) ◽  
pp. 84-99
Author(s):  
Anastasiya Pyankova ◽  
Timur Fattakhov

Using different data sources (HCoD, IRTAD, UNECE statistical database, police data), our research shows that the significant excess of pedestrian mortality over motor vehicle occupant mortality in 1988-1999 in Russia, according to RusFMD, is an abnormal phenomenon that most likely never occurred. Police data is preferable for assessing mortality levels by road user types in Russia. According to Russian police data, pedestrian mortality never exceeded motor vehicle occupant mortality. The steady decline of pedestrian mortality began in 2003, not in 1993, as vital statistics show. In 2008, pedestrian mortality for the first time reached the minimum level of the Soviet period. After significant fluctuations, motor vehicle occupant mortality dropped to the level of the early 1970s only in 2015-2017. The use of vital statistics is possible if it is necessary to differentiate road traffic mortality by sex, age, and type of settlements. Categorisation by road user types should be done with caution, using the following data sources: HCoD data from 1988 and RusFMD data from 1970 to 1988 and after 1999. It is suggested that difficulties in analysing long-term mortality by road user types based on vital statistics may occur in post-Soviet countries, where the Soviet abridged classification of causes of death (SC) was used. The prevalence of deaths coded by unspecified V-codes (V89) should also be considered.


Author(s):  
David Pérez-Jorge ◽  
María Alejandra González-Luis ◽  
María del Carmen Rodríguez-Jiménez ◽  
Eva Ariño-Mateo

Context: Health promotion programs generate healthy changes in the educational community. However, not all of them meet the expected objectives due to multiple factors that affect their development, such as the teachers overload work, the lack of specific training, the lack of time to carry out health promotion activities, the lack of flexibility of the programs, and their non-inclusion in the training programs of the centers. Objective: To know the scope of the strategies and programs that promote healthy habits among students in compulsory educational stages. Data sources: a systematic review of articles in English, using the Web of Science (WOS), Medline, and PsycINFO databases.


Molecules ◽  
2021 ◽  
Vol 26 (20) ◽  
pp. 6215
Author(s):  
Navid Sobhani ◽  
Giandomenico Roviello ◽  
Alberto D’Angelo ◽  
Raheleh Roudi ◽  
Praveen Kumar Neeli ◽  
...  

Importance: The protein p53 is an unequivocal tumor suppressor that is altered in half of all cancers. The immune system produces systemic p53 autoantibodies (p53 Abs) in many cancer patients. Objective: This systemic review and meta-analysis focuses on the prognostic value of p53 Abs expressed in the serum of patients with solid tumors. Data Sources: All the clinical investigations were searched on PubMed from the first study dated 1993 until May 2021 (date of submission of the manuscript). Study Selection: Studies were included that met the following criteria: 1) participants with cancer; 2) outcome results expressed in relation to the presence of a p53 antibody; 3) a primary outcome (disease-free survival, overall survival or progression-free survival) expressed as hazard ratio (HR). The following exclusion criteria were used: 1) insufficient data available to evaluate outcomes; 2) animal studies; 3) studies with less than 10 participants. As a result, 12 studies were included in the analysis. Data Extraction and Synthesis: PRISMA guidelines were used for abstracting and assessing data quality and validity by three independent observers. The summary estimates were generated using a fixed-effect model (Mantel–Haenszel method) or a random-effect model (DerSimonian–Laird method), depending on the absence or presence of heterogeneity (I2). Main Outcome(s) and Measure(s): The primary study outcome was to determine the prognostic value of p53 Abs from a large population of patients with solid tumors, as determined before data collection. Results: In total, 12 clinical studies involving 2094 patients were included in the meta-analysis, and it was determined that p53 Abs expression in the serum significantly correlated with poorer survival outcomes of cancer patients (95% CI 1.48 [1.24, 1.77]; p < 0.00001). Conclusions and Relevance: This is the first meta-analysis proving the diagnostic utility of p53-Abs for cancer patients in predicting poorer outcomes. The serum-p53 value (s-p53-value) may be useful for future theranostics.


2021 ◽  
pp. 105756772110399
Author(s):  
Takahito Shimada ◽  
Ai Suzuki

The study proposes a new method of crime analysis combining data from multiple secondary data sources (census, open crime data, and social survey) to assess the risk of victimization and crime prevention behavior in resource-limited settings. Principal component analysis was performed on municipal-level census data ( n = 1,883) to generate a rural index that represents the ecological characteristics of each municipality across the urban–rural continuum. Multilevel logistic analyses were then applied to crime incident data ( n = 207,771) to assess the municipal-level effects on victims’ use of locks in motor vehicle and bicycle thefts. A linear pattern of victimization was found for bicycle theft (the risk was about one-thirtieth in the most rural municipalities than that in the most urban municipalities), while the pattern found was nonlinear for motor vehicle thefts. The analysis also revealed that victims in rural areas were less likely to have locked their vehicles before they were stolen than those living in urban areas. Using the rural index developed in this study, police forces can have a better understanding of crime problems in their jurisdiction across the urban–rural continuum. The study discusses the implications of the results for crime prevention and problem-solving policymaking in the urban–rural continuum.


2021 ◽  
Author(s):  
Jack Mulder ◽  
Peter A. Cawood

Table S1 (global compilation of monazite ages); Table S2 (compilation of whole rock geochemistry of monazite-bearing rocks); data sources for the zircon ages from the Himalayan orogen and Figure S1 (comparison of monazite and zircon age histograms and cross-correlation results based on the monazite dating method).<br>


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Valentino Moretto ◽  
Gianluca Elia ◽  
Gianpaolo Ghiani

Purpose Differently from traditional approaches that rely on the analysis of single dimensions of the tourism phenomenon, this study aims to experiment a systemic approach based on structured and unstructured data sources to elaborate a composite index to measure the tourist competitiveness of marginal areas, with the final aim to design and plan proper socio-economic development strategies. Design/methodology/approach The methodology adopted to carry out the study follows a four-step process and relies on indicators that are both relevant and accessible. The first step concerns the analysis of the literature about the existing approaches to calculate a tourism index. The second step concerns the definition of the indicators and the collection of data by using both structured and unstructured sources. The third step focuses on the population of the data set. Finally, the fourth step aims at calculating the tourism index through a composite-based methodology and using it for a pilot application in a Southern Italy province. Findings The study calculates a synthetic tourism index for each of the 97 municipalities of the Province of Lecce (a city located in the southeast of Italy). The proposed index combines administrative, institutional and open data sources to derive a single indicator for each municipality, thus supporting decision-makers in understanding the complex reality and competitiveness level of territories in the tourism industry. Originality/value The main elements of originality of the study are the breadth and typology of data sources considered to calculate the composite indicator of tourism competitiveness (both structured and unstructured); and the use of weighting and aggregation procedures in the methodological issues.


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