bluuebunny/crossref_metadata_2025 huggingface dataset:
The Effect of Distance Intervals on Walking Likelihood in Different Trip Purposes
Authors: Macioszek Elżbieta , Karami Ali , Farzin Iman , Abbasi Mohammadhossein , Mamdoohi Amir Reza , Piccioni Cristiana
Published: March 2022

Increasing private car ownership and car dependency has led to a low share of walking as an active mode as well as congestion, air pollution, and health problems in developing countries. This paper aims to identify and compare the impacts of a selection of socio-economic, travel-related, and built environment variables on walking likelihood and respondents’ sensitivity to the walking distance, both for discretionary and mandatory trips. The analysis drew its origin from 14,463 responses acquired through an extensive travel survey conducted in the city of Qazvin, Iran. The estimated binary logit coefficients show people’s heterogeneity in the walking behavior for discretionary and mandatory trips. The results report a higher likelihood of walking on mandatory trips at almost all distances than the discretionary ones. Furthermore, investigating individual heterogeneity in different trip distances reveals that people aged less than 14 are more likely to choose walking on mandatory trips longer than 2400 m. Besides, those aged 25–44 years old or above 65 have less tendency to choose walking on mandatory trips with distances of 2000–2400 m and 800–1200 m, respectively. These findings are almost different on discretionary trips; compared to other age groups, people aged 15–24 years are less likely to choose walking on discretionary trips with a distance of 800–1200 m. Moreover, in trip distances of 1200–1600 m, the elderlies have a greater tendency to choose walking compared to other age groups. Some implications for more sustainable mobility in human-oriented urban environments are also presented and critically discussed.
Adaptive Social Innovation Derived from Digital Economy and Its Impact on Society and Policy
Authors: Cho Min-Hyuk , Yi Chan-Goo
Published: March 2022

The traditional concept of innovation focuses on significant changes in products and services. However, today’s innovation derived from the digital economy environment is transforming our way of life, values, and even social relations. The economic benefits of the digital economy and technology have a wide range of impacts derived from the rapid socio-economic transformation. The negative impact on jobs and incomes is a typical problem that threatens socioeconomic fundamentals. This phenomenon is the reason that we must have a new perspective about innovation that connects technology, economy, society and policy beyond the traditional perspective. Based on the new perspective, this study categorizes social innovations using an expanded concept. One of them is “adaptive social innovation”, and this study focuses on its key motive and impact. In this paper, a theoretical discussion is adopted from integrating discussions in macroeconomics, social psychology, political science, etc. The key motive can be found in transformation of production, consumption, and distribution due to the digital economy. Based on this, the detailed operation mechanism of adaptive social innovation that transforms public perceptions and systems are analysed. At the same time, the process in which formal institutions and the output of adaptive social innovation, affect society and policy was explored.
Quaternary Depositional Framework of the Xiong’an New Area: A 3D Geological Modeling Approach Based on Vector and Grid Integration
Authors: Zhu Jixiang , Zhou Xiaoyuan , Zhang Guanghui , Wang Qian
Published: March 2022

The Quaternary stratigraphic unit is an important underground space resource for sustainable urban development. It is of great significance to understand the spatial variation characteristics of the Quaternary stratigraphic structure and its internal attributes. However, due to the openness and complexity of the Quaternary sedimentary environment, the sedimentary characteristics of Quaternary stratigraphic units are often very complex and difficult to accurately analyze. In this study, a method for analyzing Quaternary sedimentary characteristics via 3D geological modeling based on vector and grid integration is proposed. Based on this method, the Quaternary depositional framework of Xiong’an New Area is established. The results show that the study area is mainly composed of seven Quaternary strata with different sedimentary origins, and the 3D spatial variation characteristics of lithology in each stratum are unique. Taking the vector framework model as the constraint boundary, this study constructs the lithology stochastic model of each Quaternary stratigraphic unit respectively, and accurately simulates the 3D spatial variation characteristics of the inner lithology of Quaternary stratigraphic units in the study area, which is of great significance for the urban planning, construction, and environmental protection of Xiong’an New Area.
Research on Vibration and Noise of Induction Motor under Variable Frequency
Authors: Su Zhonghuan , Luo Longfu , Liu Jun , Li Zhongxiang , Luo Hu , Bai Haonan
Published: March 2022

Studies have substantiated that the vibration and noise produced by the iron core of an electromagnetic device are closely related to the magnetostriction of the iron core silicon steel sheet. Moreover, when the induction motor works under the condition of frequency conversion, the symmetry of the core silicon steel sheet will change, and the distribution of the vibration and noise field of the motor will be asymmetric, which will aggravate the vibration and noise. This paper completes the experimental measurement and analysis of the electromagnetic characteristics and magnetostrictive characteristics of silicon steel sheets. The magnetic field of a 1140 V/75 kW variable-frequency motor is calculated analytically based on the analytical method, and the stator/rotor magnetic induction intensity and permeance are calculated separately to obtain the air gap magnetic density and the radial electromagnetic force. The vibration and noise of the 1140 V/75 kW variable-frequency motor are analyzed by the finite element method, while the magnetization curve and magnetostrictive characteristic curve of a silicon steel sheet under different conditions are considered. An experimental platform is built to measure and analyze the vibration displacement and acceleration of the variable frequency motor, which verifies the correctness of the proposed scheme. Considering the influence of the magnetostrictive effect will make the result of calculating the vibration and noise of variable-frequency motors more accurate.
Soft-Theorems for Scalar Particles: The Dilatons Story
Authors: Marotta Raffaele
Published: March 2022

We summarize recent results regarding single and double soft theorems of two different particles named dilatons, the Nambu-Goldstone boson of the spontaneously broken conformal field theories and the massless scalar particle of the closed string theories. Similarities and differences between the soft theorems of these two particles are discussed as well as their connections with the symmetries of the theories.
NMR Spectroscopy Identifies Chemicals in Cigarette Smoke Condensate That Impair Skeletal Muscle Mitochondrial Function
Authors: Khattri Ram B. , Thome Trace , Fitzgerald Liam F. , Wohlgemuth Stephanie E. , Hepple Russell T. , Ryan Terence E.
Published: March 2022

Tobacco smoke-related diseases such as chronic obstructive pulmonary disease (COPD) are associated with high healthcare burden and mortality rates. Many COPD patients were reported to have muscle atrophy and weakness, with several studies suggesting intrinsic muscle mitochondrial impairment as a possible driver of this phenotype. Whereas much information has been learned about muscle pathology once a patient has COPD, little is known about how active tobacco smoking might impact skeletal muscle physiology or mitochondrial health. In this study, we examined the acute effects of cigarette smoke condensate (CSC) on muscle mitochondrial function and hypothesized that toxic chemicals present in CSC would impair mitochondrial respiratory function. Consistent with this hypothesis, we found that acute exposure of muscle mitochondria to CSC caused a dose-dependent decrease in skeletal muscle mitochondrial respiratory capacity. Next, we applied an analytical nuclear magnetic resonance (NMR)-based approach to identify 49 water-soluble and 12 lipid-soluble chemicals with high abundance in CSC. By using a chemical screening approach in the Seahorse XF96 analyzer, several CSC-chemicals, including nicotine, o-Cresol, phenylacetate, and decanoic acid, were found to impair ADP-stimulated respiration in murine muscle mitochondrial isolates significantly. Further to this, several chemicals, including nicotine, o-Cresol, quinoline, propylene glycol, myo-inositol, nitrosodimethylamine, niacinamide, decanoic acid, acrylonitrile, 2-naphthylamine, and arsenic acid, were found to significantly decrease the acceptor control ratio, an index of mitochondrial coupling efficiency.
Next-Generation Sequencing for Confronting Virus Pandemics
Authors: Quer Josep , Colomer-Castell Sergi , Campos Carolina , Andrés Cristina , Piñana Maria , Cortese Maria Francesca , González-Sánchez Alejandra , Garcia-Cehic Damir , Ibáñez Marta , Pumarola Tomàs , Rodríguez-Frías Francisco , Antón Andrés , Tabernero David
Published: March 2022

Virus pandemics have happened, are happening and will happen again. In recent decades, the rate of zoonotic viral spillover into humans has accelerated, mirroring the expansion of our global footprint and travel network, including the expansion of viral vectors and the destruction of natural spaces, bringing humans closer to wild animals. Once viral cross-species transmission to humans occurs, transmission cannot be stopped by cement walls but by developing barriers based on knowledge that can prevent or reduce the effects of any pandemic. Controlling a local transmission affecting few individuals is more efficient that confronting a community outbreak in which infections cannot be traced. Genetic detection, identification, and characterization of infectious agents using next-generation sequencing (NGS) has been proven to be a powerful tool allowing for the development of fast PCR-based molecular assays, the rapid development of vaccines based on mRNA and DNA, the identification of outbreaks, transmission dynamics and spill-over events, the detection of new variants and treatment of vaccine resistance mutations, the development of direct-acting antiviral drugs, the discovery of relevant minority variants to improve knowledge of the viral life cycle, strengths and weaknesses, the potential for becoming dominant to take appropriate preventive measures, and the discovery of new routes of viral transmission.
Durability of Humoral Responses after the Second Dose of mRNA BNT162b2 Vaccine in Residents of a Long Term Care Facility
Authors: Lai Alessia , Caimi Barbara , Franzetti Marco , Bergna Annalisa , Velleca Rossella , Gatti Antonella , Rossi Pier Luigi , D’Orso Marco , Pregliasco Fabrizio , Balotta Claudia , Calicchio Giuseppe
Published: March 2022

Residents of long-term care facilities (LTCFs) have been dramatically hit by the COVID-19 pandemic on a global scale as older age and comorbidities pose an increased risk of severe disease and death. The aim of the study was to assess the quantity and durability of specific antibody responses to SARS-CoV-2 after the first cycle (two doses) of BNT162b2 vaccine. To achieve this, SARS-CoV-2 Spike-specific IgG (S-IgG) titers was evaluated in 432 residents of the largest Italian LTCF at months 2 and 6 after vaccination. By stratifying levels of humoral responses as high, medium, low and null, we did not find any difference when comparing the two time points; however, the median levels of antibodies halved overtime. As positive nucleocapsid serology was associated with a reduced risk of a suboptimal response at both time points, we conducted separate analyses accordingly. In subjects with positive serology, the median level of anti-S IgG slightly increased at the second time point, while a significant reduction was observed in patients without previous exposure to the virus. At month 6, diabetes alone was associated with an increased risk of impaired response. Our data provide additional insights into the longitudinal dynamics of the immune response to BNT162b2 vaccination in the elderly, highlighting the need for SARS-CoV-2 antibody monitoring following third-dose administration.
Fever after Vaccination against SARS-CoV-2 with mRNA-Based Vaccine Associated with Higher Antibody Levels during 6 Months Follow-Up
Authors: Kanizsai Andrea , Molnar Tihamer , Varnai Reka , Zavori Laszlo , Tőkés-Füzesi Margit , Szalai Zoltan , Berecz Janos , Csecsei Peter
Published: March 2022

Background: The effect of post-vaccination adverse events on immunogenicity is unknown. We aimed to explore relationship between post-vaccination adverse reactions and antibody levels during 6-month follow-up. Methods: Blood was serially drawn from healthcare workers after the second dose of BNT162b2 mRNA vaccine (Day 12, 30, 60, 90, 120, 150, and 180) and anti-SARS-CoV-2 spike IgG (S-IgG) levels were measured. Following each vaccine dose, volunteers completed a questionnaire regarding adverse reactions (symptomatic vs. asymptomatic groups). Results: A total of 395 subjects received the second dose of the vaccine. The main results were as follows: (i) fever after the 2nd dose was independently associated with the median S-IgG level at all follow-up time points; (ii) significantly higher S-IgG levels were observed in the symptomatic group of patients without prior COVID-19 infection throughout the entire follow-up period; (iii) prior COVID-19 positivity resulted in higher S-IgG levels only in the asymptomatic group from Day 90 of the follow-up period; (iv) both prior COVID-19 disease with asymptomatic status and symptomatic status without prior COVID-19 infection resulted in similar S-IgG antibody levels; (v) significantly lower serum S-IgG levels were observed in smokers. Conclusion: Fever may play an important role in the post-vaccination immune response in the long term.
A Note of a Unique Inland, Saline Water Fishery: Brine Flies (Diptera: Ephydridae) of Lake Cuitzeo, Mexico
Authors: Calderón-Arreola Jaquelina Beatríz , Alcocer Javier , Oseguera Luis A.
Published: March 2022

Fisheries in Cuitzeo, the second largest Mexican lake, used to take place on the permanent freshwater East and Central Basins as opposed to the temporal, saline, and initially thought barren West Basin. The 1980 fisheries collapse forced fishers to look for non-conventional fishing products elsewhere in the lake. The West Basin’s temporal, saline-alkaline, and shallow water provides exceptional habitat for ephydrids to flourish. Locally known as “pupa”, ephydrids are collected in large numbers. Although consumed since pre-Hispanic times, no other commercial fisheries of ephydrids are known worldwide. This study records the species composition and abundance of the “pupa” throughout an annual cycle in the West Basin, where fisheries occur. Two species were found: Ephydra hians and Lamproscatella muria. Ephydrids co-occurred in June and July at the end of the dry season when salinity was highest. L. muria was more abundant (954 ± 2385 ind m−2) than E. hians (94 ± 38 ind m−2). The relatively low salinity of the West Basin favoured L. muria over E. hians, which prefers higher salinities. This “pupa” fishery is still unpredictable due to the astatic nature of the lake, and hence limited economic importance to the local fishers.
Study on the Algae Lysis Method of White Rot Fungi Algae Control System
Authors: Wang Jun , Zeng Guoming , Wang Fei , Huang Xin , Li Yan , Liang Dong , Zhang Maolan , Sun Da
Published: March 2022

At present, there are few studies on known bacterial species and even less on fungi in biological algae control technology. In this paper, the green eutrophic shallow water lake Scenedesmus quadricauda (Turpin) was used as the research object, and white rot fungi, which has a high removal effect on water pollutants, algae and biological toxins, was used for algae control. The extent of the removal effect, physiological characteristics and the internal functional groups of the algae cells in the white rot fungi solution, the supernatant of the white rot fungi solution after centrifugation and the sterilized white rot fungi solution were investigated. The results showed that the best algae solubilization effect of the algae control system was achieved at 250 mg/L, with 8 mg/L of dissolved oxygen and a hydraulic retention time of 48 h. The average algae lysis rate was 85.48%, the average dehydrogenase activity reduction rate was 59.23%, the average soluble protein reduction rate was 65.16% and the average malondialdehyde content increased to 0.128 umol/L. After treatment with the white rot algae control system, the spatial structure of the Turpin cells was severely disrupted, and significant lysis occurred within the algal cells, forcing the release of intracellularly soluble substances, and reducing the dehydrogenase activity of the Turpin cells, thus inhibiting the growth activity of the algae cells. A further reduction in the soluble protein content reduces the nutrients required for the growth of Turpin, exacerbating the rate of reduction in the physiological metabolic activity of the Turpin cells and, ultimately, the inhibition or killing of the algal cells. The results of this research may provide theoretical guidance for the microbial control of water eutrophication; however, whether there will be secondary pollution after the algae dissolution of this process is worthy of further study.
A Novel Double-Sided Offset Stator Axial-Flux Permanent Magnet Motor for Electric Vehicles
Authors: Wang Han , Pei Xiaoze , Yin Boyuan , Eastham John Frederick , Vagg Christopher , Zeng Xianwu
Published: March 2022

Axial-flux permanent magnet (AFPM) motors have been attracting great interest due to their key advantages of high-torque density and compact structure. Concentrated windings are commonly used for AFPM motors since they significantly reduce the radial length of the end windings. This paper proposes a novel double-sided stator single-rotor motor topology where one stator is offset by π radians. This arrangement can cancel significant space harmonics produced by the concentrated winding and reduce the core and permanent magnet losses. Analytical analysis and finite element analysis (FEA) are used to verify the principle and validate the topology. The simulation results demonstrate that this proposed double-sided offset stator motor can reduce the core loss and permanent magnet loss significantly at base speed compared with the conventional double-sided stator single-rotor motor. In addition, the magnetic core saturation and induced voltage for the double-sided offset stator motor are significantly reduced.
Multifaceted approach to legislative regulation for using dna analysis in criminal proceedings of Ukraine
Authors: Stepaniuk Ruslan , Kikinchuk Vasyl , Pyrih Igor , Pletenets Viktor , Prylovskyi Volodymyr
Published: March 2022

The purpose of this article is to develop propositions for improving legal regulation of the use of DNA analysis in criminal proceedings of Ukraine. System-structural, comparative-legal and formal-logical methods of research, analysis of theory and practice are used. The article proposes to apply an integrated approach to the development and introduction of the field-oriented legislation after public discussion on the problems of protecting genetic data in law enforcement practice based on European standards. It is already necessary to separate the concepts of biological material and genomic information in the current legislation of Ukraine, to establish the terms of their storage and the rules for destruction after they are no longer needed. The legislation should also differentiate the methods of obtaining biological samples with defining the priorities for obtaining samples for DNA analysis by the way of buccal scraping (genal swabbing). We should provide separate rules for the permissible scope of molecular genetic testing for suspects (convicts) and other persons. It is also necessary to limit the possibility of unofficial obtaining DNA profiles and to establish procedural rules for mass genetic testing to detect especially grave crimes.
Online learning during the Covid-19 Pandemic: A review of literature
Authors: Alzahrani Amal
Published: March 2022

During the Covid-19 pandemic, schools all over the world changed from in-class learning to online learning. Accordingly, it is important to review and explore the studies conducted in online learning for better implementation and adaptation. The current review is a systematic assessment of the studies done from the point of view of teachers and students concerning the use of online learning during the Covid-19 pandemic. Three scientific database browsers were used to locate the related papers, and thirty studies were selected to be reviewed for this report. The studies were analyzed based on several variables under three thematic categories: teacher views, student views, and the outlooks of both teachers and students. The results revealed different opinions on using online learning during the pandemic. Several advantages and challenges were recorded from the views of teachers and students. Recommendations and future research are discussed.
On the possibility of non-standard measurement of personality value orientations
Authors: Kisse Anton Ivanovych , Hotynian Vytaliia Vitaliivna , Balashenko Inna Valeriivna , Balashenko Myroslav Ivanovych , Nachev Andrii Petrovich
Published: March 2022

As the title implies the article deals with the process of measurement of personality value orientations. This particular problem is especially acute during the COVID-19 and thus needs non-standard solutions. The article makes a point on what value orientations are, providing examples from history, philosophy, psychology and law to prove the point.

Modern science is not possible without measurement and the article demonstrates standards from different perspectives. Article provides the analysis of values, their role in society and an explanation of how do they form, it mentions that most human values, deeds and goal need to be evaluated. There is a comparison, the relationship of our own desires, instinctive desires, with a system of prohibitions, restrictions, social norms, ideals of society with a certain system of behavior formed in our imagination under the influence of social and cultural relations.

The emphasis is placed on the importance of using non-standard measurement and on that moral and structural categories cannot have a single quantitative standard, because they function as a measure. Article gives a perspective on how are the values formed and denoted the type of non-standard measurement.

Due to changes of society the value system is changing, so a certain system of values that has developed in a person under the influence of society, its traditions, prohibitions, norms of behavior, socially significant events, etc., should refer to the non-standard measurement.
Product stewardship: Linking waste back to primary production
Authors:   , McNeil Alec
Published: March 2022

The mismanagement of waste products generated from economic activity results in environmental harm. In current globalised supply chain relationships, responsibilities for waste management become transferred. That transfer of responsibility fails to reduce waste at source, contain waste appropriately, maximise resource recovery or fund the management of products at the end of their usefulness. In response to this situation, the New Zealand Government has adopted a policy called Product Stewardship which, in principle, is intended to support the shared responsibility for the whole life of a product across the supply chains. Product Stewardship, to date in New Zealand, has been based on an industry-led, voluntary approach. Whilst voluntary approaches have enjoyed varying levels of success over the last decade, the amount of waste sent to landfill in New Zealand and offshore for recycling, has increased significantly. Onshore, landfill is supported by engineered containment of waste and is visible to communities. Offshore, recycling processes are unsighted. In 2017, the New Zealand Government began a review of the waste system in response to the contraction of offshore recycling markets. In 2020, the Government announced its intention to move beyond voluntary Product Stewardship in favour of a mandatory approach, by declaring six priority product waste streams. Subsequent to this change in policy emphasis, a number of co-design working groups have been established to develop mandatory Product Stewardship schemes, based on guidelines set out by the Government. The aim of this research is to understand how Product Stewardship can contribute to the reduction of waste within New Zealand. The objectives of the research are to: understand the kinds of opportunities that mandatory Product Stewardship may present to the community of practice, to analyse existing research on Product Stewardship and other literature relevant to this field, and to provide the researcher with an opportunity to contribute to discussions on Product Stewardship from a research-based position. A transdisciplinary research methodology has been used to reflect the diversity of the community of practice involved in the Product Stewardship space. Research data was generated through undertaking semi-structured interviews, document analysis, and participant observation. The results of this research suggests that any successful application of mandatory Product Stewardship will be reliant on a substantial paradigm shift in economic thinking to reset how waste is viewed, treated, and responded to. In the absence of such a shift, mandatory Product Stewardship runs the risk of being adopted into current market thinking, resulting in no material impact on waste reduction.
A systematic analysis of SAP Enterprise Resource Planning (ERP) software implementation as accounting software in New Zealand organisations
Authors:   , Sahni Komal Nagpal
Published: March 2022

In this era of information technology, computerisation, and automation, Accounting Information Systems (AIS)  have become the foundation of every organisation. Previous studies explain that AIS is an integrated system providing financial and non-financial services. Thus, companies use the larger versions of enterprise resource planning system (ERP) software packages to integrate AIS into one application. The leading global AIS in the market are System Application and Product in Processing (SAP), Oracle, and Microsoft. This study focuses on SAP as an AIS because it is the market leader and owns more than fifty percent of the global market, as reported by various studies. SAP provides benefits to organisations. It helps in the transfer of data across organisations, despite the challenges confronted during implementation. Therefore, this study's primary focus is on understanding potential benefits, and challenges New Zealand (NZ) companies faced in SAP implementation, and the subsequent strategies to overcome those challenges.    This study adopted interpretive research with an inductive approach. It was qualitative and was based on primary data collection through semi-structured interviews. The collected data was analysed using thematic analysis. The SAP potential benefits, and challenges in implementation, and coping mechanisms were reflected through themes using thematic analysis.  The research findings disclosed potential benefits from implementing SAP software for NZ companies, namely, productivity of organisations, benefits to the users, real-time data, and stable and secured system. Additionally, findings unveil various SAP implementation challenges, including change management challenges, inadequate project management, technical challenges, knowledge challenges, and organisational challenges. Lastly, the results suggest the coping mechanisms to overcome SAP implementation challenges include training and education, legacy systems, top management support, allocation of adequate resources, and expert implementation team. This study provides a rich insight into the complex and challenging nature of the implementation process and the potential benefits the company might receive from implementing SAP in NZ.    The research adds to the existing body of knowledge regarding SAP implementation in NZ companies; and contributes to the ability to assist organisations in their implementation efforts; and empowers project managers, SAP end-users, support-users, and implementers for better management of the inherent intricacy of the implementation process.
Determine Sample Size for Precision Results on Quick Count
Authors: Ridwan Yusep , Aji Rizqon Halal Syah
Published: March 2022

This research aims to answer the problem of the appropriate sample size in the case of the quick count of the election so that the results obtained are close to the actual results. Although there are practical procedures that are widely used to calculate the sample size in the quick count methodology, in reality, the results obtained often deviate from the actual results, so the issue of precision is always an interesting discussion. The formulation of the problem regarding the size of the sample and how the level of precision of the forecast results are important issue to be discussed. This research method is included in experimental research where the analysis used is the Kruskal-Wallis test. The data used is primary data from the real count results of the regency election Sumedang by consultants and teams. The results showed that there was a significant difference between the seven sample size groups in vote acquisition and the percentage of votes at the polling station (TPS), where the sample sizes n=408, n=500, n=875 and n=1674 were the most appropriate sample sizes in the implementation of the quick count.
Measurement of Sustainable Agriculture at Household Level: Results of Indonesian Agriculture Integrated Survey (AGRIS) Pilot
Authors: Kadir Kadir , Khasanah Isnaeni Nur , Rudiana Eka
Published: March 2022

This study aims to measure and analyzes the level of agricultural sustainability at the household level using the results of the Integrated Agricultural Survey (AGRIS) pilot conducted by Statistics Indonesia in 2020. Applying descriptive analysis on the computation results of eleven sub-indicators of the SDGs 2.4.1 indicator at the household level, we analyzed the proportion of agricultural households categorized as sustainable and unsustainable for each corresponding sub-indicator of sustainability. We also estimated the average land area managed by agricultural households for each category in each sub-indicators. We found that most agricultural households in West Java, East Java and West Nusa Tenggara are categorized as unsustainable in agricultural practices regarding land productivity. The proportion of households practising unsustainable agriculture are also quite large regarding fertilizer use and decent employment. We also found that less land productivity and poor management of fertilizer use are the phenomena of a relatively large scale farm.
Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019
Authors: Putra Andrian Dwi , Oktora Siskarossa Ika
Published: March 2022

The existence of forests is threatened with deforestation, which can affect climate disturbances and environmental decay. This study aims to analyze determinants of deforestation in Sumatera Island from 2011-2019. The dependent variable is deforestation, and the independent variables are population density, land fires, road length, GDP of agricultural, fisheries, and forestry, and GDP of mining and excavation. The results show that there is spatial-temporal heterogeneity in deforestation in Sumatera Island from 2011-2019. Furthermore, because of the normality violation, the Robust Geographically and Temporally Weighted Regression (RGTWR) method is used. Analysis shows variables affecting deforestation in Sumatera Island vary in each province and change annually. Land fires were always significant in every province and every year from 2011-2019. To overcome deforestation, the governments need to consider the varying causes of deforestation, more firmly to forestry regulation and establish cooperation with local communities in managing forest.
Application of Logistic Regression Modeling for Complex Survey Data on Education Continuity of Poor Households Children
Authors: Salam Rudi , Adji Ardi
Published: March 2022

Many population-based surveys such as the National Socio-Economic Survey (Susenas) are built with complex sampling assumptions, namely probabilistic, stratified, and multistage sampling, with unequal weights for each observation. This complex design must be taken into account in order to have reliable results when doing modeling. The model that is often used when using survey data is logistic regression. The purpose of this study is to determine a logistic regression model with a complex sample design, and to show how it is estimated using a package survey from the R software. As an illustration, the 2019 Susenas data of East Java Province will be used as an application to correct the influence of the sample design in estimating risk factors related to the chances of children 7-18 years old in poor households continuing their education. The results show that the variables of gender and mother's education significantly affect the continuity of the education of children 7-18 years old in poor households.
Determinants of Unmet Need Family Planning Among Married Woman of Reproductive Age in North Sumatra (Susenas March 2019)
Authors: Saputri Aprillia Anis , Rahani Rini
Published: March 2022

Unmet need is one of the obstacles of the family planning programs that can reduce contraceptive prevalence. The percentage of total unmet need in North Sumatra Province is 12.1 and comparable to the total national unmet need in 2019. This study aims to determine the factors that influence family planning needs and the tendency of married women of reproductive age in North Sumatra Province in 2019 with multinomial logistic regression. The data used is sourced from the Susenas KOR 2019. Results show that married women of reproductive age having a greater tendency to experience the unmet need for limiting are characterize as 35-49 years old, living in urban areas, and with junior high/equivalent levels. Meanwhile, the characteristics of married women of reproductive age (WUS) who have a greater tendency to experience the unmet need for spacing such as aged 15-24 years, Age at First Marriage more than 18 years, and with a higher education level. Therefore, a more optimal commitment and support from family planning field workers in family planning counselling are needed and increase equitable access and quality of family planning services.
Big Data for Small Area Estimation: Happiness Index with Twitter Data
Authors: Dahwan Aziz Sheerin , Ubaidillah Azka
Published: March 2022

Data availability for small area level is one of the keys to the success of regional development. However, direct estimation of small areas can produce high error due to inadequate sample sizes so the estimation is not reliable. One of alternative solution to this problem is to use the Small Area Estimation (SAE) method which can improve precision by "borrows strength" of the corresponding region information or auxiliary variable information that is strongly related to the response variable. This study uses two SAE models, namely SAE EBLUP Fay-Herriot model with auxiliary variables Podes data and SAE with Error Measurement with auxiliary variable Twitter data. Estimation results using the SAE method are better than direct estimates. This is shown by the RSE value which produced from SAE method, both the EBLUP model and Measurement Error, is smaller than the direct estimate. Therefore, big data can be used as an alternative variable in the SAE model because the data is available in real-time, covers up to the smallest area, and relatively low cost.
Optimization of Waste Transportation Routes using Multi-objective Non-dominated Sorting Genetic Algorithm II (MNSGA-II) in the Eastern and Southern Regions of Bandung City, Indonesia
Authors: Afira Natasya , Wijayanto Arie Wahyu
Published: March 2022

Ensuring high-quality and effective urban waste management has been an important priority to achieve sustainable and environmental-friendly cities and communities mandated by Sustainable Development Goals (SDGs). The massively growing population in urban regions of developing countries, such as Bandung City, Indonesia, leads to the increasing volume of daily goods consumption and households waste production. The waste transportation route is one of the main determining factors for the cost of waste management. In this paper, we introduce the Multi-objective Non-dominated Sorting Genetic Algorithm II (MNSGA-II) to solve the waste transportation route optimization problem in the Eastern and Southern Regions of Bandung City, Indonesia. Compared to the existing traditional evolutionary algorithms, MNSGA-II offers three major important benefits: efficient computational complexity, no requirement of sharing parameters, and a non-elitism mechanism. Algorithm parameters include the number of generations, mutation rate, and crossover rate. Our extensive experiments suggest the best solution resulted in 14 routes with a total distance of 152,63 km. Further, our proposed route optimization is potentially beneficial to support the improvement of the sustainable waste management service system at Bandung City.
What We Know from Telemedicine Data in Indonesia? Study case using Alodokter, Dokter.id, and Honestdocs
Authors: Fuadina Faza Nur , Projo Nucke Widowati Kusumo , Mariyah Siti
Published: March 2022

The internet and technology development arise in various aspects of life in Indonesia, including in the health sector with e-health. Telemedicine utilization as a form of e-health was still rare among Indonesians because its existence is not as much as e-commerce that is more related to the economic sector. The COVID-19 pandemic has limited people's movement to get health care, but it made people use telemedicine in Indonesia. This research aims to analyze telemedicine utilization in Indonesia and see the health phenomena captured in the data. This research uses descriptive analysis and text mining to determine the utilization of telemedicine with the Named Entity Recognition (NER) and Latent Dirichlet Allocation (LDA) methods. In addition, a literature review is also used to identify the potential use of telemedicine data in collecting health statistics in Indonesia. The results show that telemedicine has been widely used in Indonesia. The clinical teleconsultation data and article titles on telemedicine produce various health topics. Therefore, telemedicine data can potentially be used as a source for collecting health statistics.
Estimation of Air Pollutants using Time Series Model at Coalfield Site of India
Authors: Choudhary Arti , Kumar Pradeep
Published: March 2022

Assessment of air pollutants and quality is an intricate task because of dynamic nature, unpredictability and high inconsistency in space and time. In this study, a time series moving average (MA) model is employed to estimate air pollutants (PM2.5, PM10, NO2, NOX, O3, SO2 and CO) over the coalfield site of India. The estimated O3 with Adj. R2 = 0.958 was identified as the most accurate estimation followed by other estimated pollutants. Though, results for the estimated PM2.5 (Adj. R2 = 0.950) and NO2 (Adj. R2 = 0.949) were found almost similar to the results of O3 (Adj. R2 = 0.958). The estimated CO with Adj. R2 = 0.887 was identified lower among all the estimated pollutants was also found very well. The existing results of the study demonstrate that MA model permits us to precisely estimate daily basis pollutant concentrations, for the different sites of India.
Covid-19 Vaccination: Health and Economic Correlations
Authors: Musyarof Zaky , Nur Qomari Indira
Published: March 2022

Vaccination program is an important strategy in eradicating Covid-19 pandemic. Vaccination can intervene to accelerate the formation of herd immunity. When herd immunity is formed later, it is believed that the Covid-19 virus will gradually eradicated. Furthermore, economic activity will return to normal. Then, has the vaccination program run by the Indonesian government had an impact on health and economic recovery? Some claim that this vaccination program has had a positive impact. However, in-depth research is felt to be done to really look at this impact. As a first step, it is necessary to look at the relationship between vaccination, health and economic development. This relationship will be an early indication of whether the vaccination program is successful or not. In fact, vaccination was strongly correlated with a decrease in the transmission of new cases and moderately correlated with the recovery rate. Overall, vaccination is strongly correlated with health based on the canonical correlation. Meanwhile, for the economy, vaccination has a weak correlation with the poverty rate and Gini ratio. However, overall based on the canonical correlation, vaccination is strongly correlated with the economy. Furthermore, the development of tourism shows an indication of a correlation with vaccination.
Performance Comparison of Hot-Deck Imputation, K-Nearest Neighbor Imputation, and Predictive Mean Matching in Missing Value Handling, Case Study: March 2019 SUSENAS Kor Dataset
Authors: Raudhatunnisa Tsasya , Wilantika Nori
Published: March 2022

Missing value can cause bias and makes the dataset not represent the actual situation. The selection of methods for handling missing values is important because it will affect the estimated value generated. Therefore, this study aims to compare three imputation methods to handle missing values—Hot-Deck Imputation, K-Nearest Neighbor Imputation (KNNI), and Predictive Mean Matching (PMM). The difference in the way the three methods work causes the estimation results to be different. The criteria used to compare the three methods are the Root Mean Squared Error (RMSE), Unsupervised Classification Error (UCE), Supervised Classification Error (SCE), and the time used to run the algorithm. This study uses two pieces of analysis, comparison analysis, and scoring analysis. The comparative analysis applying a simulation that pays attention to the mechanism of missing value. The mechanism of the missing value used in the simulation is Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). Then, scoring analysis aims to narrow down the results of comparative analysis by giving a score on the results of the imputation of the three methods. The result suggests Hot-Deck Imputation is the most excellent in dealing with a missing value based on the score.
The Plague (Black Death) Is Still Around and May Come Back
Authors: Aghakhani Nader , Izadi Shahin , Mobaraki Kazhal , Ahmadzadeh Jamal , Aliasghari Arash
Published: March 2022

Plague has been among the most devastating infectious diseases in human history. The decrease in the plague in recently reported cases and studies implies that the plague should not recur, but the fact is that it (Black Death) is still around and may appear again. The disease can be occult for many years. The reemergence of the plague epidemic with unusual clinical form, magnitude, and rapid expansion at any place and time without prior notice could pose a serious risk to public health. Plague outbreaks most likely result from the reactivation of organisms in local foci. The reemergence of foci suggests that environmental or climatic changes could be favorable for an epidemiological cycle of Yersinia pestis. Thus, countries harboring plague foci can be at risk of outbreaks in the future. Different epidemiological aspects of the plague must be emphasized in prophylactic medical plans and health education systems, and healthcare workers should be alert and aware of the natural cycle, as well as clinical symptoms and signs of plague. Finally, surveillance, education, and research are also suggested regarding this fatal infection and other emerging diseases.
Development and Psychometric Assessment of a Scale for Measuring Knowledge, Attitude, and Practice About COVID-19
Authors: Torkian Samaneh , Ahmadi Ali , Khosravi Vahid , Khanjani Narges , Jaafari Zahra , Morowatisharifabad Mohammad Ali , Malek Mohammadi Neda
Published: March 2022

Background and aims: Knowledge, attitude, and practice (KAP) toward coronavirus disease 2019 (COVID-19) are important factors for adherence to protection strategies. The aim of this study was to construct and validate a questionnaire about the KAP of Iranians regarding COVID-19. Methods: Initially, a questionnaire about the KAP with regard to COVID-19 was constructed in this cross-sectional study. The initial questionnaire was prepared based on a review of the extensive research literature and global and national guidelines. This researcher-made questionnaire was developed using the COVID-19-KAP questionnaire, which was originally used in China in 2020, and the influenza epidemic KAP Questionnaire (2015), the MERS KAP Questionnaire (2015), the H1N1 flu KAP questionnaire (2017), and the WHO KAP questionnaire about COVID-19. The applied questionnaire consists of three parts including knowledge- (n=26), attitude- (n=8), and practice-related (n=11) questions, respectively. Then, the face, content, and construct validity and the reliability of the questionnaire was determined, and analyzes were performed using SPSS v. 26 and AMOS v. 24 software. Results: In the face validity stage, 2 questions with an impact score of less than 1.5 were excluded from the questionnaire. In the content validity check, all questions had a content validity index (I-CVI) of more than 0.7. However, the content validity ratio (CVR) for 6 questions was less than 0.51, and these questions were removed accordingly. The compliance of the CVI with the chance agreement was close to one for all questions, indicating the lack of a chance agreement. In the exploratory factor analysis stage, the Kaiser-Meyer-Olkin (KMO) value of 0.90 was obtained, implying the adequacy of the sample size for factor analysis. The significance of the Bartlett test (chi-square: 5820.06, df: 630, P<0.001) indicated a strong correlation between the questions and the appropriateness of factor analysis. Finally, 34 items in 4 domains remained in the questionnaire. Conclusion: The validity and reliability of this questionnaire were confirmed based on the findings. This Farsi KAP questionnaire can be used to assess the level of knowledge, attitude, and practice of people about COVID-19.