bluuebunny/crossref_metadata_2025 huggingface dataset:
An Unobstructive Sensing Method for Indoor Air Quality Optimization and Metabolic Assessment within Vehicles
Authors: Deng Yue , Sprowls Mark , Mora S. Jimena , Kulick Doina , Tao Nongjian , Destaillats Hugo , Forzani Erica
Published: December 2020

This work investigates the use of an intelligent and unobstructive sensing technique for maintaining vehicle cabin’s indoor air quality while simultaneously assessing the driver metabolic rate. CO2 accumulation patterns are of great interest because CO2 can have negative cognitive effects at higher concentrations and also since CO2 accumulation rate can potentially be used to determine a person’s metabolic rate. The management of the vehicle’s ventilation system was controlled by periodically alternating the air recirculation mode within the cabin, which was actuated based on the CO2 levels inside the vehicle’s cabin. The CO2 accumulation periods were used to assess the driver’s metabolic rate, using a model that considered the vehicle’s air exchange rate. In the process of the method optimization, it was found that the vehicle’s air exchange rate (λ [h−1]) depends on the vehicle speeds, following the relationship: λ = 0.060 × (speed) − 0.88 when driving faster than 17 MPH. An accuracy level of 95% was found between the new method to assess the driver’s metabolic rate (1620 ± 140 kcal/day) and the reference method of indirect calorimetry (1550 ± 150 kcal/day) for a total of N = 16 metabolic assessments at various vehicle speeds. The new sensing method represents a novel approach for unobstructive assessment of driver metabolic rate while maintaining indoor air quality within the vehicle cabin.
Magnetic Microwires with Unique Combination of Magnetic Properties Suitable for Various Magnetic Sensor Applications
Authors: Corte-Leon Paula , Zhukova Valentina , Chizhik Alexandr , Blanco Juan Maria , Ipatov Mihail , Gonzalez-Legarreta Lorena , Zhukov Arcady
Published: December 2020

There is a pressing demand to improve the performance of cost-effective soft magnetic materials for use in high performance sensors and devices. Giant Magneto-impedance effect (GMI), or fast single domain wall (DW) propagation can be observed in properly processed magnetic microwires. In this paper we have identified the routes to obtain microwires with unique combination of magnetic properties allowing observation of fast and single DW propagation and GMI effect in the same microwire. By modifying the annealing conditions, we have found the appropriate regimes allowing achievement of the highest GMI ratio and the fastest DW dynamics. The observed experimental results are discussed considering the radial distribution of magnetic anisotropy and the correlation of GMI effect, and DW dynamics with bulk and surface magnetization processes. Studies of both Fe- and Co-rich microwires, using the magneto-optical Kerr effect, MOKE, provide information on the magnetic structure in the outer shell of microwires. We have demonstrated the existence of the spiral helical structure in both studied microwires. At the same time, torsion mechanical stresses induce helical bistability in the same microwires, which allow us to consider these microwires as materials suitable for sensors based on the large Barkhausen jump.
A Velocity Meter for Quantifying Advection Velocity Vectors in Large Water Bodies
Authors: Allafchi Farzam , Valeo Caterina , Chu Angus , He Jianxun , Lee Waltfred , Oshkai Peter , Neumann Norman
Published: December 2020

A velocity meter was designed and built in order to meet market needs for an affordable instrument that measures the range of velocity magnitudes and direction experienced in medium- to large-sized water bodies. The velocity meter consists of a graduated plate with an injector protruding from the center and a camera held downward above the plate. Once the Dye Injection Velocity (DIV) meter is in the flow, dye is injected and the camera records the dye fluid transport. The recorded video is analyzed to determine the local flow velocity and direction. The DIV was calibrated for a range of velocities between 0.0094 m/s and 0.1566 m/s using particle image velocimetry (PIV) in a flow visualization flume. The accuracy of the instrument was found to be +6.3% and −9.8% of full scale. The coefficient of determination of the calibration curve was equal to 98%. Once calibrated, the DIV was deployed to the Inverness Stormwater pond in Calgary, Canada, for validation tests against an Acoustic Doppler Velocity (ADV) meter. During the validation tests, both flow velocity magnitude and direction were measured at several spatial points. The velocity magnitude results showed good agreement and the Mann-Whitney test showed no statistically significant difference (p-value > 0.05). At two spatial points, the differences between direction data were significant, which could be caused by the random errors involved in the validation test. However, the averaged data showed good agreement.
A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions
Authors: Hasan Md Junayed , Sohaib Muhammad , Kim Jong-Myon
Published: December 2020

Rolling element bearings are a vital part of rotating machines and their sudden failure can result in huge economic losses as well as physical causalities. Popular bearing fault diagnosis techniques include statistical feature analysis of time, frequency, or time-frequency domain data. These engineered features are susceptible to variations under inconsistent machine operation due to the non-stationary, non-linear, and complex nature of the recorded vibration signals. To address these issues, numerous deep learning-based frameworks have been proposed in the literature. However, the logical reasoning behind crack severities and the longer training times needed to identify multiple health characteristics at the same time still pose challenges. Therefore, in this work, a diagnosis framework is proposed that uses higher-order spectral analysis and multitask learning (MTL), while also incorporating transfer learning (TL). The idea is to first preprocess the vibration signals recorded from a bearing to look for distinct patterns for a given fault type under inconsistent working conditions, e.g., variable motor speeds and loads, multiple crack severities, compound faults, and ample noise. Later, these bispectra are provided as an input to the proposed MTL-based convolutional neural network (CNN) to identify the speed and the health conditions, simultaneously. Finally, the TL-based approach is adopted to identify bearing faults in the presence of multiple crack severities. The proposed diagnostic framework is evaluated on several datasets and the experimental results are compared with several state-of-the-art diagnostic techniques to validate the superiority of the proposed model under inconsistent working conditions.
Will We Do If We Can? Habitual Qualitative and Quantitative Physical Activity in Multi-Morbid, Older Persons with Cognitive Impairment
Authors: Abel Bastian , Bongartz Martin , Eckert Tobias , Ullrich Phoebe , Beurskens Rainer , Mellone Sabato , Bauer Jürgen M. , Lamb Sallie E. , Hauer Klaus
Published: December 2020

This study aimed to identify determinants of quantitative dimensions of physical activity (PA; duration, frequency, and intensity) in community-dwelling, multi-morbid, older persons with cognitive impairment (CI). In addition, qualitative and quantitative aspects of habitual PA have been described. Quantitative PA and qualitative gait characteristics while walking straight and while walking turns were documented by a validated, sensor-based activity monitor. Univariate and multiple linear regression analyses were performed to delineate associations of quantitative PA dimensions with qualitative characteristics of gait performance and further potential influencing factors (motor capacity measures, demographic, and health-related parameters). In 94 multi-morbid, older adults (82.3 ± 5.9 years) with CI (Mini-Mental State Examination score: 23.3 ± 2.4), analyses of quantitative and qualitative PA documented highly inactive behavior (89.6% inactivity) and a high incidence of gait deficits, respectively. The multiple regression models (adjusted R2 = 0.395–0.679, all p < 0.001) identified specific qualitative gait characteristics as independent determinants for all quantitative PA dimensions, whereas motor capacity was an independent determinant only for the PA dimension duration. Demographic and health-related parameters were not identified as independent determinants. High associations between innovative, qualitative, and established, quantitative PA performances may suggest gait quality as a potential target to increase quantity of PA in multi-morbid, older persons.
EEG-Based Emotion Classification for Alzheimer’s Disease Patients Using Conventional Machine Learning and Recurrent Neural Network Models
Authors: Seo Jungryul , Laine Teemu H. , Oh Gyuhwan , Sohn Kyung-Ah
Published: December 2020

As the number of patients with Alzheimer’s disease (AD) increases, the effort needed to care for these patients increases as well. At the same time, advances in information and sensor technologies have reduced caring costs, providing a potential pathway for developing healthcare services for AD patients. For instance, if a virtual reality (VR) system can provide emotion-adaptive content, the time that AD patients spend interacting with VR content is expected to be extended, allowing caregivers to focus on other tasks. As the first step towards this goal, in this study, we develop a classification model that detects AD patients’ emotions (e.g., happy, peaceful, or bored). We first collected electroencephalography (EEG) data from 30 Korean female AD patients who watched emotion-evoking videos at a medical rehabilitation center. We applied conventional machine learning algorithms, such as a multilayer perceptron (MLP) and support vector machine, along with deep learning models of recurrent neural network (RNN) architectures. The best performance was obtained from MLP, which achieved an average accuracy of 70.97%; the RNN model’s accuracy reached only 48.18%. Our study results open a new stream of research in the field of EEG-based emotion detection for patients with neurological disorders.
Thermal Performance and Comfort Conditions Analysis of a Vernacular Palafitic Timber Building in Portuguese Coastline Context
Authors: Fernandes Jorge , Mateus Ricardo , Gervásio Helena , Silva Sandra Monteiro , Branco Jorge , Almeida Manuela
Published: December 2020

The palafitic timber constructions of the central Portuguese coastline are an example of the adaptation to site-specific conditions (climate and sand landscape morphodynamics) using the available endogenous resources. Thus, in a context of environmental awareness and climate change, it is relevant to understand their features/strategies and how they perform. This work analyses the energy performance and thermal condition evaluation of a vernacular timber building–palheiro–from Praia de Mira, through in situ measurements, subjective analysis and energy simulation provided by DesignBuilder/EnergyPlus. The results show a good or satisfactory thermal performance during most of the seasons by passive means only. Despite, it was not possible to guarantee thermal comfort conditions for the occupants during winter. In the energy performance analysis, five scenarios, with different external walls, were compared. In the two scenarios that satisfy the maximum U-value for the climate zone, the current conventional building had a slightly better performance on heating and cooling (less 1.1 and 1.4 kWh/m2, respectively) than the timber building. However, the difference between the two construction solutions is not substantial in the annual energy demand (2.5 kWh/m2, 7.3%), indicating that timber structures are suitable in this mild climate area.
Accommodation Experience in the Sharing Economy: A Comparative Study of Airbnb Online Reviews
Authors: Zhang Zhihua , Fu Rachel J. C.
Published: December 2020

Current research investigating the accommodation experience in the sharing economy in China is limited, especially from a cross-cultural perspective. To fill this gap, this study examined the accommodation experience of Airbnb guests using text-mining techniques and compared the accommodation experience perception between two culturally different groups: domestic Chinese and foreign English-speaking Airbnb guests. The results showed that the two groups shared eight common dimensions, including “Convenience/Location”, “Amenities”, “Feel at home”, “Check-in/out”, “Experience”, “Availability/Transportation”, “Host”, and “Style/Decoration”. However, there are differences in the relative importance of each dimension of accommodation experience between the domestic and foreign Airbnb guests. For example, the foreign guests more often mentioned homeliness, location/convenience, and availability/transportation, while the domestic guests showed greater interest in check-in procedures and style/decoration. Additionally, the two groups have several unique dimensions. The dimensions unique to foreign guests are “Recommendation” and “Booking flexibility”, while the dimensions unique to domestic guests are “Revisit” and “Cleanliness”. This study provides both theoretical and practical implications for peer-to-peer accommodation hosts and platforms. For example, Airbnb hosts can improve the satisfaction of Airbnb guests by improving several common extracted topics (e.g., amenities quality and host response) and the fact that foreign guests care more about homeliness, while domestic guests pay more attention to the check-in process and house design and decoration.
Evaluation Methods for the Impacts of Shared Mobility: Classification and Critical Review
Authors: Roukouni Anastasia , Homem de Almeida Correia Gonçalo
Published: December 2020

In recent years, shared mobility services have had a growing presence in cities all over the world. Developing methodologies to measure and evaluate the impacts of shared mobility has therefore become of critical importance for city authorities. This paper conducts a thorough review of the different types of methods that can be used for this evaluation and suggests a classification of them. The pros and cons of each method are also discussed. The added value of the paper is twofold; first, we provide a systematic recording of the state of the art and the state of the practice regarding the evaluation of the impacts of shared mobility, from the perspective of city authorities, reflecting on their role, needs, and expectations. Second, by identifying the existing gaps in the literature, we highlight the specific needs for research and practice in this field that can help society figure out the role of urban shared mobility.
Soil and Water Bioengineering Applications in Central and South America: A Transferability Analysis
Authors: Maxwald Melanie , Crocetti Cesare , Ferrari Roberto , Petrone Alessandro , Rauch Hans Peter , Preti Federico
Published: December 2020

The present work describes a transferability analysis for soil and water bioengineering techniques as an instrument for sustainable erosion control in Central and South America based on an empirical data base from the last decades. In total, 31 case studies in Mexico, Nicaragua, Guatemala, Colombia, Ecuador and Brazil generated a database from an area where soil and water bioengineering techniques are not commonly used. The Transferability Analysis is structured in seven steps: (1) Objectives of the procedure, (2) Impacts of the measure, (3) Identification of up-scaling/down-scaling needs (4) Identification of the main phases and its components, (5) Identification of the level of importance of the components, (6) Assessment of the components in the context of the Take-Up Site and (7) Conclusions. For the assessment of soil and water bioengineering via the Transferability Analysis, in step 4 the following main phases have been identified from the data base: (a) Planning Phase, (b) Construction Phase, (c) Use Phase, as well as (d) End of Life Phase of a construction. Within these categories, 14 components have been defined: (a) know-how of soil and water bioengineering techniques, local climate conditions, botany, hydraulics, pedology; (b) materials, qualified labor, equipment and mechanical instruments, economic resources; (c) monitoring, efficiency, sustainability, maintenance; (d) replicability. The following assessment of the components allowed to determine key barriers, as well as key support factors for the transfer of soil and water bioengineering. As a result, barriers appeared to be the components qualified labor, equipment/mechanical instruments, hydraulics, know-how in soil and water bioengineering and pedology. Neither barriers, nor supporting key factors resulted to be the components local climate conditions, economic resources and efficiency. Supporting key factors for the transfer were materials, monitoring, sustainability, maintenance and replicability. The most important key factor of success was assessed to be botany, as various plant species with important characteristics for soil and water bioengineering are available in Central and South America, able to compensate the constraints through barriers in certain cases.
Can Family Members’ Involvement Improve Technological Innovation? Empirical Study Based on Chinese Family-Owned Enterprises
Authors: Zhuang Lingling , Loh Lawrence , Zheng Minna
Published: December 2020

From the perspective of agency theory, family members’ involvement is negatively correlated with technological innovation. However, from the perspective of stewardship theory, it is believed that family members’ involvement is positively correlated with technological innovation. From the phenomenon mentioned above, this paper studies the influence of family members’ involvement on R&D investment and R&D output and tests the above competitive hypotheses. Based on the 2007–2016 data of A-share listed family-owned enterprises, this empirical study found that family members involved in corporate management not only save R&D investment, but they also increase R&D output. After controlling for endogeneity, the above conclusions are still valid. This study provides empirical evidence for the objective recognition of the relationship between family members’ involvement and technological innovation.
How Do Smart Villages Become a Way to Achieve Sustainable Development in Rural Areas? Smart Village Planning and Practices in China
Authors: Zhang Xiaojuan , Zhang Zhengang
Published: December 2020

The sustainability of rural areas is facing numerous challenges in China. The Chinese government has chosen the construction of smart villages as an important strategy to realize the sustainable development of rural areas. In this paper, we define a smart village as a rural development model that fully utilizes the solutions provided by the information and communication technology (ICT) to promote the sustainable development of the village on the basis of clarifying the characteristics and needs of rural development. Combined with general system theory, we propose a theoretical framework of the smart village system. Based on the theoretical framework of the smart village system, we analyzed the smart village strategic planning and smart village practice in China. The results of the study showed that the construction and development of smart villages in disadvantaged rural areas is the correct choice for sustainable rural development according to the current situation in China. The Chinese government’s role in promoting smart village construction has been to promote the smart village system’s strategic subsystem to enhance smart rural areas’ development through a unified overall plan and related supporting policies. The top-down smart village construction model currently adopted by China is determined by China’s political and economic system, which is mainly reflected in the centralization of power and the public economy’s dominance.
Implications of Green Logistics Management on Sustainable Business and Supply Chain Performance: Evidence from a Survey in the Greek Agri-Food Sector
Authors: Trivellas Panagiotis , Malindretos Georgios , Reklitis Panagiotis
Published: December 2020

Green agri-food supply chains are increasingly attracting research interest, owing to their potential capacity for resilience against recent crises (e.g., financial, COVID-19) as well as end-consumers’ concerns on sustainability issues. In this context, this paper aims to explore the relationship between green supply chain management practices and three different performance aspects, namely, supply chain, green (environmental) and business performance, and controlling for environmental dynamism. Field research was conducted through a structured questionnaire contacted to 134 executives of firms in the agri-food sector in Greece. The results reveal that information sharing, logistics networking and transportation are the most powerful factors that impact sustainable, business and supply chain performance. In addition, green packaging is related to financial and social performance aspects. Interestingly, green warehousing and logistics emissions failed to establish any relationship with performance outcomes. The conclusions and recommendations drawn in the present study are expected to provide meaningful guidance for the supply chain decision-making process, as logistics managers are becoming increasingly aware of exploiting all available resources, knowhow and competitive advantages for attaining sustainable performance.
Spatial Planning of Green Infrastructure for Mitigation and Adaptation to Climate Change at a Regional Scale
Authors: García Andrés M. , Santé Inés , Loureiro Xurxo , Miranda David
Published: December 2020

Green infrastructure has acquired greater importance in recent years in relation to climate change adaptation. Green infrastructure planning has been identified as a new and innovative means of land planning that can contribute to preventing the impacts of climate change. However, this has been explored more thoroughly in urban areas than at the regional scale. The present study proposes a methodology including multi-criteria evaluation techniques for assessing the ESS involved in the fight against climate change and for the spatial planning of multifunctional green infrastructure areas based on the results of this assessment. Application of the methodology for green infrastructure planning aimed at confronting climate change at landscape level in the region of Galicia (NW Spain) successfully delimited multifunctional green infrastructure zones. Results show that delimited zones have a higher provision potential for more ESS than protected natural areas and areas that are not part of the green infrastructure.
Towards Sustainable Mobile Learning: A Brief Review of the Factors Influencing Acceptance of the Use of Mobile Phones as Learning Tools
Authors: Alghazi Saud S. , Wong Seng Yue , Kamsin Amirrudin , Yadegaridehkordi Elaheh , Shuib Liyana
Published: December 2020

Mobile phones have become widespread in the modern era. One contemporary use of mobile phones is in the education field, commonly known as M-Learning. Subsequent to the growth of M-Learning, developers of educational mobile applications need to understand what the user requirements are, and how to satisfy them. In order to measure user satisfaction while engaging with mobiles as learning tools, many models have been created using the Unified Theory of Acceptance and Use of Technology, and other models such as the Technology Acceptance Model. However, none of these has focused on the technical factors affecting the users’ intentions to use their mobile phones as learning tools. Due to technical limitations, as well as human psychology, mobile phone learning remains limited to an assistance-only function. This paper presents a review of studies that have been used to measure users’ intentions of engaging with mobile phones as learning tools. One hundred and twenty-seven papers have been reviewed, dating from 2011 to 2020. These papers differ in terms of methodology and results collected. Results showed that many models had been extended by adding factors such as trust, pre-usage or attitude. Moreover, this review concludes that almost none of the above-mentioned studies had identified precisely the technical factors that may affect the intention of using this type of technology in education. However, when classifying the influential factors of M-Learning, almost none of the studies discussed the advantages of the technical aspect in imparting knowledge through mobile learning. This study is significant for the education industry in its identification of the relative importance of these factors where mobiles are involved in the learning process. In addition, it provides a brief history of the involvement of technology in education.
Results of Implementing Less-Favoured Area Subsidies in the 2014–2020 Time Frame: Are the Measures of Environmental Concern Complementary?
Authors: Poláková Jana , Soukup Josef
Published: December 2020

This article collated and interpreted data on land-based measures and capital investments support in Central Europe. Data collection is essential, due to more EU funds being distributed after 2020. Most evaluations focus on outcomes of agri-environmental measures within the most populous Member States. Unlike previous work, empirical data was hereby assessed on the public support of three measures of environmental concern to farmers (less favored area measure, capital investments, and agri-environmental measures). The study examined whether public goods are complementary. A prevailing focus was on spending for the farms in less favored areas, now renamed Areas of Natural Constraint (ANC). Cluster analysis was employed for seven countries out of 105 rural development programs (RDPs). The Countries include Austria, Czech Republic, Germany, Hungary, Poland, Slovakia, and Slovenia. The average share of the wider ANC measures was 0.31 of the total public funds. Within Central Europe, Hungary sets aside the smallest share (0.17), whereas the Czech Republic and Austria introduced a slightly larger share (0.51). All RDPs identified Capital Investments in physical assets as one of the significant measures. The study found that public goods for biodiversity and landscapes were entailed in the ANC measures, although the extent of measure complementarity across all regions will require further investigation. Finally, unresolved questions about expenditure are highlighted.
Field Verification of an African Swine Fever Virus Loop-Mediated Isothermal Amplification (LAMP) Assay during an Outbreak in Timor-Leste
Authors: Mee Peter T. , Wong Shani , O’Riley Kim J. , da Conceição Felisiano , Bendita da Costa Jong Joanita , Phillips Dianne E. , Rodoni Brendan C. , Rawlin Grant T. , Lynch Stacey E.
Published: December 2020

Recent outbreaks of African swine fever virus (ASFV) have seen the movement of this virus into multiple new regions with devastating impact. Many of these outbreaks are occurring in remote, or resource-limited areas, that do not have access to molecular laboratories. Loop-mediated isothermal amplification (LAMP) is a rapid point of care test that can overcome a range of inhibitors. We outline further development of a real-time ASFV LAMP, including field verification during an outbreak in Timor-Leste. To increase field applicability, the extraction step was removed and an internal amplification control (IAC) was implemented. Assay performance was assessed in six different sample matrices and verified for a range of clinical samples. A LAMP detection limit of 400 copies/rxn was determined based on synthetic positive control spikes. A colourmetric LAMP assay was also assessed on serum samples. Comparison of the LAMP assay to a quantitative polymerase chain reaction (qPCR) was performed on clinical ASFV samples, using both serum and oral/rectal swabs, with a substantial level of agreement observed. The further verification of the ASFV LAMP assay, removal of extraction step, implementation of an IAC and the assessment of a range of sample matrix, further support the use of this assay for rapid in-field detection of ASFV.
Spatial Distribution Patterns of Parthenolecanium corni (Hemiptera, Coccidae) and of the Ampelovirus GLRaV-1 and the Vitivirus GVA in a Commercial Vineyard
Authors: Hommay Gérard , Wiss Louis , Reinbold Catherine , Chadoeuf Joël , Herrbach Etienne
Published: December 2020

Distribution patterns of the European fruit lecanium Parthenolecanium corni (Bouché) and of grapevine leafroll-associated virus-1 (GLRaV-1) and grapevine virus A (GVA) were monitored from 2003 to 2015 in a Riesling vine plot in the northeast of France. Virus spread was compared between two periods: 2003–2008 and 2009–2014. The percentage of infected vines increased from 54 to 78% for GLRaV-1 and from 14 to 26% for GVA. The spatial distribution of viruses and of P. corni was analysed using permutation tests and revealed an aggregative pattern. Virus distribution was not associated with the density of P. corni population on grapevines. However, GLRaV-1 and GVA spread mainly from initially infected vines. New GLRaV-1 and GVA infections were more frequent on vines near primarily infected vines, first anisotropically along the row, then between neighbouring rows. Virus spread was similar to those described in literature with grapevine mealybug species. This slow vine-to-vine progression suggests that P. corni was responsible for the virus spread, in accordance with the low mobility and low transmission capacities of its local population.
Diagnosing community-acquired pneumonia via a smartphone-based algorithm: a prospective cohort study in primary and acute-care consultations
Authors: Porter Paul , Brisbane Joanna , Abeyratne Udantha , Bear Natasha , Wood Javan , Peltonen Vesa , Della Phillip , Smith Claire , Claxton Scott
Published: December 2020

Background

Community-acquired pneumonia (CAP) is an essential consideration in patients presenting to primary care with respiratory symptoms; however, accurate diagnosis is difficult when clinical and radiological examinations are not possible, such as during telehealth consultations.

Aim

To develop and test a smartphone-based algorithm for diagnosing CAP without need for clinical examination or radiological inputs.

Design and setting

A prospective cohort study using data from participants aged >12 years presenting with acute respiratory symptoms to a hospital in Western Australia.

Method

Five cough audio-segments were recorded and four patient-reported symptoms (fever, acute cough, productive cough, and age) were analysed by the smartphone-based algorithm to generate an immediate diagnostic output for CAP. Independent cohorts were recruited to train and test the accuracy of the algorithm. Diagnostic agreement was calculated against the confirmed discharge diagnosis of CAP by specialist physicians. Specialist radiologists reported medical imaging.

Results

The smartphone-based algorithm had high percentage agreement (PA) with the clinical diagnosis of CAP in the total cohort (n = 322, positive PA [PPA] = 86.2%, negative PA [NPA] = 86.5%, area under the receiver operating characteristic curve [AUC] = 0.95); in participants 22–<65 years (n = 192, PPA = 85.7%, NPA = 87.0%, AUC = 0.94), and in participants aged ≥65 years (n = 86, PPA = 85.7%, NPA = 87.5%, AUC = 0.94). Agreement was preserved across CAP severity: 85.1% (n = 80/94) of participants with CRB-65 scores 1 or 2, and 87.7% (n = 57/65) with a score of 0, were correctly diagnosed by the algorithm.

Conclusion

The algorithm provides rapid and accurate diagnosis of CAP. It offers improved accuracy over current protocols when clinical evaluation is difficult. It provides increased capabilities for primary and acute care, including telehealth services, required during the COVID-19 pandemic.
COMPONENTES DEL SISTEMA DE MEDICIÓN DE LA GESTIÓN EN LA INDUSTRIA PETROLERA VENEZOLANA
Authors: Piña Marian
Published: December 2020

La investigación tiene como objetivo analizar los componentes del sistema de medición de la gestión presentes en la industria petrolera venezolana. El estudio se ubicó como descriptivo, con diseño no experimental, transeccional, y de campo. La población quedó constituida por los gerentes y líderes de las cinco (5) gerencias de planificación y gestión de la industria petrolera en la región occidente. Para la recolección de datos se aplicó la técnica de la encuesta, con un cuestionario contentivo de 13 ítems. La validación del instrumento se realizó mediante el juicio de expertos. La confiabilidad se calculó a través del coeficiente Alfa de Cronbach, cuyo resultado fue 0,91. El análisis de los datos se realizó mediante la estadística descriptiva, a través del estudio de las medias aritméticas y la desviación estándar. La definición de objetivos, indicadores de gestión, estándares e índices poseen alta presencia como componentes del sistema de medición de gestión.
PROBLEMS OF SUBURB DEVELOPMENT OF IN BELGOROD
Authors: Perkova M. , Markova M.
Published: December 2020

The article is devoted to the preconditions that served as the beginning of the process of suburbanization around the world; the patterns of formation of suburban areas around large Russian cities are considered. Particular attention is paid to the most pressing problems of the Belgorod suburb. Since the Belgorod suburb has followed the American development path, the problems of Belgorod suburbs are similar to the problems of American suburbs in the different areas such as transport, environmental and socio-economic. Each of these issues is dealt with separately; the causes of these problems are taken into account; global trends in solutions are analyzed, and specific options for solving these problems for the Belgorod suburb are given
PENERAPAN SANKSI PIDANA DALAM PENCEMARAN LINGKUNGAN HIDUP DITINJAU DARI UNDANG-UNDANG PERLINDUNGAN DAN PENGELOLAAN LINGKUNGAN HIDUP STUDI KASUS (PT.MARIMAS SEMARANG)
Authors: Pratama Alif Candra , Rochmani Rochmani
Published: December 2020

Pencemaran lingkungan hidup tidak hanya berdampak buruk bagi kehidupan masyarakat yang ada sekarang namun juga akan mengancam kelangsungan hidupnya kelak. Adanya pencemaran lingkungan yang ditimbulkan dari adanya pembuangan limbah ke sungai yang berulang membuat perlunya ada penegakan sanksi pidana yang didasarkan pada UUPPLH. Kasus yang diangkat dalam penelitian ini adalah kasus pencemaran air di sungai Klampisan oleh PT. Marimas pada tahun 2013 yang berdampak pada warga di sekitar sungai Klampisan.

Penelitian ini bertujuan untuk menjelaskan penegakan sanksi pidana dalam pencemaran lingkungan hidup ditinjau dari UUPPLH dan menjelaskan hambatan dalam penegakan sanksi pidana dalam pencemaran lingkungan hidup ditinjau dari UUPPLH.

Penelitian ini menggunakan metode pendekatan yuridis normatif. Spesifikasi penelitian ini adalah deskriptif analitis yaitu menggambarkan peraturan perundang – undangan yang berlaku dikaitkan dengan teori – teori hukum dan praktek pelaksanaan hukum yang menyangkut permasalahan tersebut. Metode analisis data menggunakan cara deskriptif kualitatif

PT. Marimas, Semarang belum dikenakan sanksi pidana atas pencemaran sungai Klampisan yang diakibatkan karena kurangnya alat bukti dalam pembuktian pencemaran lingkungan sehingga penegakan sanksi pidana dalam pencemaran lingkungan hidup ditinjau dari UUPPLH di PT. Marimas, Semarang belum berjalan. Hambatan dalam penegakan sanksi pidana dalam pencemaran lingkungan hidup ditinjau dari UUPPLH di PT. Marimas, Semarang adalah kurangnya sosialiasi kepada masyarakat terkait hukum lingkungan, kendala dalam pembuktian karena di sepanjang Kali Klampisan terdapat sekitar 7 industri yang punya andil membuang limbah ke badan sungai tersebut dan pembangunan instalasi Pengelolaan Air Minum (PAM) di wilayah Purwoyoso, dan belum maksimalnya infrastruktur penegakan hukum yang disebabkan oleh kurangnya ketegasan dalam pelaksanaan peraturan perundangan dan sumber daya manusia di Dinas Lingkungan Hidup yang jumlahnya belum memadai untuk melakukan pengawasan.
FAKTOR-FAKTOR PENYELESAIAN DAN PENYELAMATAN PINJAMAN (KREDIT MACET) DI KOPERASI ARTHA SEJATI SEMARANG
Authors: Prabekti Angga Dwi , Andraini Fitika
Published: December 2020

Pinjaman sering terjadi dalam suatu perjanjian pinjaman (kredit), dimana merupakan suatu keadaan ketidak mampuan pihak debitur untuk membayar suatu kewajiban yang telah disepakati bersama oleh pihak kreditur sehingga kerugian pada pihak kreditur seperti yang terjadi pada KSP Artha Sejati Semarang. Adapun tujuan dari penelitian ini adalah untuk mengetahui dan memahami factor apa yang menjadi penyebab terjadinya pinjaman (kredit macet) serta upaya penyelesaian pinjaman (kredit macet) yang terjadi pada KSP Artha Sejati Semarang. Metode yang digunakan dalam penulisan ini adalah metode empiris yang menggunakan pendekatan dari aspek yang timbul dilapangan, yang memiliki sifat hukum yang nyata/ sesuai dengan kenyataan yang hidup dalam masyarakat.

Perumusan masalah yang diteliti dalam penulisan ini adalah Bagaimana tinjauan yuridis perjanjian pinjaman (kredit) di Koperasi Artha Sejati Semarang, Faktor- factor apa sajakah yang menyebabkan terjadinya pinjaman (kredit macet) pada Koperasi Artha Sejati Semarang, dan Bagaimana proses penyelamatan dan penyelesaian pinjaman (kerdit macet) pada Koperasi Artha sejati Semarang

Dari penelitian ini dapat menghasilkan factor eksternal yang menjadi penyebab pinjaman (kredit macet) adalah debitur mengalami hambatan/ kesulitan dalam kebutuhan ekonomi karena adanya suatu hal/  musibah sehingga menyebabkan terlambatnya pembayaran dalam melunasi angsuran. Sedangkanf aktor internal adalah lemahnya informasi dan pengawasan dalam perputaran kredit sehingga menyebabkan pengawasan menjadi tidak maksimal. Dan upaya yang dilakukan dalam penyelesaian kredit macet di KSP Artha Sejati Semarang adalah melalui penyelesaian diluar pengadilan/ non litigasi dan penyelesaian di dalam pengadilan, serta menyelamatkan aset-aset yang ada.
Microsoft Teams como entorno virtual de la enseñanza y aprendizaje de la asignatura de Física
Authors: Mendoza-Noriega Vicente Juvenal , García-Herrera Darwin Gabriel , Guevara-Vizcaíno Claudio Fernando , Erazo-Álvarez Juan Carlos
Published: December 2020

RESUMEN
El objetivo de este trabajo es analizar las diferentes perspectivas de los actores educativos con respecto al uso de Microsoft Teams en la asignatura de Física de la ciudad de Machala, el tipo de investigación empleado es de cohorte transversal y con un enfoque mixto, cualitativo empleando de entrevista a profesores y cuantitativo por el empleo de encuestas para estudiantes, mecanismo donde  se obtuvo datos que permiten conocer la realidad de utilizar estrategias metodológicas en el desarrollo de los acompañamientos pedagógicos y la facilidad que presenta el manejo de este software en la construcción de los conocimientos por medio de sus herramientas incorporadas, los docentes para optimizar los saberes de la asignatura de Física deben diseñar en las planificaciones microcurriculares metodologías activas orientadas Aprendizajes Basados en Proyectos (ABP), propuesta que se pone en consideración  para quienes quieran fomentar la autonomía de sus alumnos.
Videojuegos y enseñanza-aprendizaje de Historia: Una revisión sistemática para la vinculación al currículo ecuatoriano
Authors: León-Atiencia Jaime Danilo , García-Herrera Darwin Gabriel , Cabrera-Berrezueta Luis Bolívar , Erazo-Álvarez Juan Carlos
Published: December 2020

La investigación ha visibilizado la relevancia de los videojuegos en la práctica pedagógica, para profundizar en los contenidos de las diferentes asignaturas, aprovechando este recurso como medio de fortalecimiento de habilidades y aprendizaje de los estudiantes. El artículo se planteó analizar cuáles son los videojuegos que podrían ser aplicables para la enseñanza-aprendizaje de Historia y Ciencias Sociales, vinculados al currículo ecuatoriano del bachillerato. De alcance descriptivo analítico documental. Se han encontrado un número considerable de videojuegos que abordan diversos temas históricos con características variadas y la mayoría de ellos pueden vincularse al currículo ecuatoriano, para ello en la sección propuesta, se muestra un listado de los mismos con la respectiva destreza en la que pueden ser aplicados.
BUSINESS SIMULATION AS A TOOL TO DEVELOP THE SCENARIO ANALYSIS CAPACITY
Authors: Prado-Roman Miguel , Prado-Roman Alberto , Paz-Gil Iria
Published: December 2020

In a labour market so saturated with competent professionals and full of business adversities, students feel that the traditional educational system is not enough to enable them to be well prepared to compete efficiently in it. Therefore, in this research we have developed a business simulation game that allows them to delve into several fundamental facets so that they can ensure their professional success: involvement, capacity to analyze the environment, and decision-making capacity. This activity consisted of formulating, through a business competition, three business models with their corresponding web pages, data on their activities and different operating environments for each of them. The participants in this study were students of industrial organization and associated degrees (N = 76). The results of the study have determined that the students have been able to develop their skills in a real environment, as well as to improve their professional skills and their ability to make influential decisions in the management of the company. This simulation has enabled students to cope with real situations in which to apply the knowledge acquired during the career. In this way, students have felt better trained to be compete in the current competitive labour market.

Resumen

En un mercado laboral tan saturado de profesionales competentes y lleno de adversidades empresariales, los estudiantes sienten que el sistema educativo tradicional no es suficiente para que puedan estar bien preparados para competir de manera eficiente en el mismo. Por ello, en esta investigación hemos desarrollado un juego de simulación empresarial que les permita profundizar en diversas facetas fundamentales. Esta actividad consistió en formular, bajo el prisma de un concurso empresarial, tres modelos de empresas con sus correspondientes páginas web, datos sobre sus actividades y entornos de operatividad diferentes para cada una de ellas. Los participantes de este estudio fueron alumnos del grado de organización industrial y grados asociados (N = 76). Los resultados del estudio han determinado que los alumnos han podido desarrollar sus habilidades frente a un entorno real, así como mejorar sus destrezas profesionales y su capacidad para poder tomar decisiones influyentes en la dirección de la empresa. Esta simulación les ha permitido a los alumnos poder hacer frente a situaciones reales sobre los que aplicar los conocimientos adquiridos durante la carrera. De esta manera, los alumnos se han sentido mejor formados para poder competir en un mercado laboral tan competitivo como el actual.
THE INFLUENCE OF SOCIAL MEDIA USAGE ON QUALITY TIME SPENT WITH FAMILY AMONG IIUM STUDENTS
Authors: Mohd Badrol Siti Hajar , Wok Saodah
Published: December 2020

This study was conducted to determine social media usage and its influence on the quality time spent with family among the students of the International Islamic University of Malaysia (IIUM). The objectives of the study are to determine: (a) the exposure to social media use; (b) the level of perception, attitude, and behavior towards social media use, and the quality time spent with family; and (c) the relationships of perception, attitude, and behaviour towards social media use with the quality time spent with family. Time displacement theory was used to explain the relationship between the variables. The quantitative research design was employed using a network sampling survey method, with a questionnaire as a tool for data collection. A total of 210 respondents participated in this study. The findings of the study revealed that WhatsApp is the most frequently used social media platform, followed by YouTube, E-mail, Instagram, Facebook, and Telegram. The levels of perception, attitude, and behavior towards social media usage and the quality of time spent with family are high and significant. Perception, attitude, and behavior were found to show a significant positive correlation with social media usage and the quality time spent with family. Thus, this study suggests that students should allocate the time they spend on social media for their families.
FACTORS AFFECTING NON-ADHERENCE TO TREATMENT OF HEMODIALYSIS PATIENTS IN MAKKAH CITY, KINGDOM OF SAUDI ARABIA
Authors: Al-Khattabi Ghanim. Hamid.
Published: December 2020

Background: Adherence of hemodialysis patients to medical instructions is considered crucial for a longer life expectancy and better quality of life. There is solid evidence that non-adherence of end-stage renal disease patients correlates with morbidity and mortality, is the norm for dialysis patients rather than the exception, multiple factors influence it and inconsistencies exist in findings of the relationships between risk factors and non-adherence. Despite the importance of this topic, there is remarkable paucity in the studies which identify factors associated with non-adherence in hemodialysis patients in Saudi Arabia. Objectives: To determine factors related to non-adherence to fluid, diet, medication, and hemodialysis sessions among hemodialysis patients in Makkah. Materials and Methods: The current study is a cross-sectional one, where a sample of 361 hemodialysis patients was selected randomly from hemodialysis centers in three governmental hospitals in Makkah in order to determine factors related to their non-adherence to treatment by using an end-stage renal disease-adherence questionnaire (ESRD-AQ) in addition to clinical examination and laboratory investigation for other data. Results: Younger (<30 years), unmarried, non-Saudis, those with chronic diseases other than hypertension and diabetes mellitus, and those with long dialysis duration (60+ months) were found more likely to be non-adherent to the fluid. Females patients and those with short dialysis duration (<60 months) were found more likely to be non-adherent to diet and medications, respectively. Conclusion: Patients who had factors associated with non-adherence deserve special attention and support to improve their adherence behavior. The findings from this study can be used as a base for designing an intervention aimed to increase the adherence to treatment in end-stage renal disease patients who are undergoing hemodialysis in order to decrease the direct and indirect cost that appear as a consequence of non-adherence.
CUSTOMER SATISFACTION OF SERVICES PROVIDED BY FRESH FRUIT BUNCH (FFB) COLLECTION CENTERS
Authors: Che Jaafar Nazirah , Aman Zaki
Published: December 2020

Koperasi Penanam Sawit Mampan (KPSM) or in English known as Sustainable Oil Palm Growers Cooperative has been established since 2010. KPSM is an alternative model that can meet the needs of oil palm independent smallholders (ISH) and play a role in helping to improve community development. The main objective of this cooperative is to improve the income of independent oil palm smallholders. The objective of the implementation of the study was to identify the customer satisfaction level towards the FFB sales service operated by KPSM. This study involved independent oil palm smallholders who sent fresh fruit bunches (FFB) to KPSM cooperative collection centres. Questionnaires were distributed to 330 respondents and sampling was carried out by random sampling. The data were analysed using SPSS to analyse the quantitative data, which covered frequencies and percentages. The study findings indicated that the majority of respondents were KPSM members (61.9%), who cultivated palm full time, (69.6%) with an average age of 46 years old. The study also proved that the smallholders’ satisfaction level who received the services provided by the cooperative, was very good. However, customer satisfaction in terms of infrastructure amenities was less satisfactory, and the findings from this study were hoped to be able to assist various parties to improve the quality of services provided by KPSM.