bluuebunny/crossref_metadata_2025 huggingface dataset:
Conceptualizing Supply Chain Resilience: The Role of Complex IT Infrastructures
Authors: Kopanaki Evangelia
Published: March 2022

To deal with environmental uncertainty, organizations need resilience to respond to disruptions, such as changing market conditions or variations in demand or supply, while avoiding large scale adjustments. The concept of resilience is ambiguous, often explained as the capability of an organization or a supply chain to recover its original state, within an appropriate time frame, after being disrupted. Resilient supply chains have event handling capabilities, can provide efficient responses, and can return to their normal operating performance, after the disruptive event. To increase their resilience, companies often make changes or adjustments to their internal IT infrastructure, which may temporarily disrupt their smooth operation. As a result, contemporary IT infrastructures are mixed and include varied systems or technologies. Although new technologies, including blockchain, IoT and cloud-based solutions, may facilitate the handling of changes by providing secure, low cost and scalable solutions, more traditional systems may hinder such changes. Therefore, the relationship between IT and supply chain resilience is still unclear. The paper intends to examine the above issues by adopting a socio-technical approach to explain the concept of supply chain resilience and investigate the role of IT. More specifically, based on previous literature and on the appreciative systems thinking theoretical perspective, the paper develops a theoretical framework to analyse the organisational and/or supply chain resilience. It then uses this framework to examine and explain the impact of IT, by identifying important characteristics of an IT infrastructure and examining whether they may support or hinder business resilience.
First Report on Microcystin-LR Occurrence in Water Reservoirs of Eastern Cuba, and Environmental Trigger Factors
Authors: Tito José Carlos Rodríguez , Luna Liliana Maria Gomez , Noppe Wim Noppe , Hubert Inaudis Alvarez
Published: March 2022

The factors related to cyanotoxin occurrence and its social impact, with comprehension and risk perception being the most important issues, are not yet completely understood in the Cuban context. The objectives of this research were to determine the risk extension and microcystin-LR levels, and to identify the environmental factors that trigger the toxic cyanobacteria growth and microcystin-LR occurrence in 24 water reservoirs in eastern Cuba. Samplings were performed in the early morning hours, with in situ determination and physicochemical analysis carried out in the laboratory. Microcystin-LR were determined in water and within the cells (intracellular toxins) using UPLC–MS analysis after solid phase extraction. The reservoirs studied were found to be affected by eutrophication, with high levels of TN:TP ratio and phytoplankton cell concentrations, high water temperatures and low transparency, which cause collateral effect such as cyanobacterial bloom and microcystin-LR occurrence. In Hatillo, Chalóns, Parada, Mícara, Baraguá, Cautillo, La Yaya, Guisa and Jaibo reservoirs, concentrations of MC-LR higher than the WHO limits for drinking water (1 µg·L−1), were detected.
Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) including Variant Analysis by Mass Spectrometry in Placental Tissue
Authors: Wierz Marina , Sauerbrei Beate , Wandernoth Petra , Kriegsmann Mark , Casadonte Rita , Kriegsmann Katharina , Kriegsmann Jörg
Published: March 2022

Among neonates, tested positive for SARS-CoV-2, the majority of infections occur through postpartum transmission. Only few reports describe intrauterine or intrapartum SARS-CoV-2 infections in newborns. To understand the route of transmission, detection of the virus or virus nucleic acid in the placenta and amniotic tissue are of special interest. Current methods to detect SARS-CoV-2 in placental tissue are immunohistochemistry, electron microscopy, in-situ hybridization, polymerase chain reaction (PCR) and next-generation sequencing. Recently, we described an alternative method for the detection of viral ribonucleic acid (RNA), by combination of reverse transcriptase-PCR and mass spectrometry (MS) in oropharyngeal and oral swabs. In this report, we could detect SARS-CoV-2 in formal-fixed and paraffin-embedded (FFPE) placental and amniotic tissue by multiplex RT-PCR MS. Additionally, we could identify the British variant (B.1.1.7) of the virus in this tissue by the same methodology. Combination of RT-PCR with MS is a fast and easy method to detect SARS-CoV-2 viral RNA, including specific variants in FFPE tissue.
Cellular Immunity—The Key to Long-Term Protection in Individuals Recovered from SARS-CoV-2 and after Vaccination
Authors: Primorac Dragan , Brlek Petar , Matišić Vid , Molnar Vilim , Vrdoljak Kristijan , Zadro Renata , Parčina Marijo
Published: March 2022

Previous clinical and epidemiological studies have shown that over time antibody titers decrease, and they do not provide long-term mucosa protection against SARS-CoV-2 infection. Additionally, the increase in breakthrough infections that occur more frequently in the vaccinated than in the study participants with previous SARS-CoV-2 infection has recently become a priority public health concern. We measured the amount of interferon-gamma (Quan-T-Cell ELISA) and the level of antibodies (Anti-SARS-CoV-2 QuantiVac ELISA IgG) in the blood of the same patients simultaneously to compare cellular and humoral immunity. A total of 200 study participants (before Omicron variant appearance) were divided into four groups whose levels of cellular and humoral immunity we compared: study participants previously infected with SARS-CoV-2 (group 1); study participants vaccinated with EMA-approved vaccines (group 2); study participants previously infected with SARS-CoV-2, and vaccination history (group 3); and study participants without a history of SARS-CoV-2 infection or vaccination (group 4). Our results showed that study participants who received one of the EMA-approved vaccines and who recovered from COVID-19 (group 3) had significantly higher levels of cellular immunity and antibody titers in comparison with groups 1 and 2. Additionally, we have noticed that the study participants previously infected with SARS-CoV-2 and the study participants vaccinated with EMA-approved vaccines had a long-lasting cellular immunity. Furthermore, antibody levels showed a negative correlation with time since the last contact with a viral antigen, while cellular immunity within 20 months showed as long-term protection. Moreover, out of 200 study participants, only 1 study participant who recovered from COVID-19 (0.5%) was re-infected, while a total of 6 study participants (3%) were infected with SARS-CoV-2 after receiving the vaccine. This study suggests that cellular immunity—unlike humoral immunity, thanks to memory T cells—represents long-term protection in individuals recovered from SARS-CoV-2 and after vaccination.
The Influence of Time of Day of Vaccination with BNT162b2 on the Adverse Drug Reactions and Efficacy of Humoral Response against SARS-CoV-2 in an Observational Study of Young Adults
Authors: Matryba Paweł , Gawalski Karol , Ciesielska Iga , Horvath Andrea , Bartoszewicz Zbigniew , Sienko Jacek , Ambroziak Urszula , Malesa-Tarasiuk Karolina , Staniszewska Anna , Golab Jakub , Krenke Rafał
Published: March 2022

An increasing body of evidence from both academic and clinical studies shows that time-of-day exposure to antigens might significantly alter and modulate the development of adaptive immune responses. Considering the immense impact of the COVID-19 pandemic on global health and the diminished efficacy of vaccination in selected populations, such as older and immunocompromised patients, it is critical to search for the most optimal conditions for mounting immune responses against SARS-CoV-2. Hence, we conducted an observational study on 435 healthy young adults vaccinated with two doses of BNT162b2 (Pfizer-BioNTech) vaccine to determine whether time-of-day of vaccination influences either the magnitude of humoral response or number of adverse drug reactions (ADR) being reported. We found no significant differences between morning and afternoon vaccination in terms of both titers of anti-Spike antibodies and frequency of ADR in the studied population. In addition, our analysis of data on the occurrence of ADR in 1324 subjects demonstrated that the second administration of vaccine in those with previous SARS-CoV-2 infection was associated with lower incidence of ADR. In aggregate, vaccination against COVID-19 with two doses of BNT162b2 mRNA vaccine is presumed to generate an equally efficient anti-Spike humoral response.
Cost-Effectiveness of Influenza Vaccination Strategies in Adults: Older Adults Aged ≥65 Years, Adults Aged 50–64 Years, and At-Risk Adults Aged 19–64 Years
Authors: Choi Min Joo , Shin Gyeongseon , Kang Daewon , Lim Jae-Ok , Kim Yun-Kyung , Choi Won Suk , Yun Jae-Won , Noh Ji Yun , Song Joon Young , Kim Woo Joo , Choi Sang-Eun , Cheong Hee Jin
Published: March 2022

The high disease burden of influenza in elderly and chronically ill adults may be due to the suboptimal effectiveness and mismatch of the conventional trivalent influenza vaccine (TIV). This study evaluated the cost-effectiveness of quadrivalent (QIV), adjuvanted trivalent (ATIV), and high-dose quadrivalent (HD-QIV) vaccines versus TIV used under the current Korean National Immunization Program (NIP) in older adults aged ≥65 years. We also evaluated the cost-effectiveness of programs for at-risk adults aged 19–64 and adults aged 50–64. A one-year static population model was used to compare the costs and outcomes of alternative vaccination programs in each targeted group. Influenza-related parameters were derived from the National Health Insurance System claims database; other inputs were extracted from the published literature. Incremental cost-effectiveness ratios (ICERs) were assessed from a societal perspective. In the base case analysis (older adults aged ≥65 years), HD-QIV was superior, with the lowest cost and highest utility. Compared with TIV, ATIV was cost-effective (ICER $34,314/quality-adjusted life-year [QALY]), and QIV was not cost-effective (ICER $46,486/QALY). The cost-effectiveness of HD-QIV was robust for all parameters except for vaccine cost. The introduction of the influenza NIP was cost-effective or even cost-saving for the remaining targeted gr3oups, regardless of TIV or QIV.
Hydrodynamic Characteristics at Intersection Areas of Ship and Bridge Pier with Skew Bridge
Authors: Li Anbin , Zhang Genguang , Liu Xiaoping , Yu Yuanhao , Zhang Ximin , Ma Huigang , Zhang Jiaqiang
Published: March 2022

Ships sailing in the area of a bridge are vulnerable to the influence of complex water flow, due to the complex flow pattern around the bridge pier. Ships often crash into bridge piers, leading to serious economic losses and threating personal safety. Based on the common forms of piers of skew bridges, the hydrodynamic problems encountered during ship–bridge interactions in the area of a skew bridge were studied using particle image velocimetry-based flume testing, physical model testing, and numerical simulation. The influence of the flow angle of attack of a round-ended pier on the force and center of gravity of a ship moving on both sides of a pier is discussed under various ship–bridge transverse spacings. The results show that as a ship passes through the bridge area, the bow roll moment exhibits three peak values: ‘positive’, ‘negative’, and ‘positive’, and the curve of the center of gravity position forms the shape of a ‘straw hat’. With an increase in the flow angle of attack of the pier, the negative peak value and the second positive peak value of the bow roll moment of the ship passing through the back flow side of the pier become greater than those on the upstream side. Moreover, the ship’s navigation attitude is more unstable compared to that upstream, and the ship is at risk of colliding with the pier and sweeping. The width of the restricted water area, determined by the hydrodynamic action between the ship and bridge in the skew bridge area, is the same as that determined by the critical lateral velocity. For the ship class referred to in this study, the current code can also be used in channel design, to safeguard ship and personal safety with piers with a large flow angle of attack.
Maximizing Sustainability in Reservoir Operation under Climate Change Using a Novel Adaptive Accelerated Gravitational Search Algorithm
Authors: Kamran Sahar , Safavi Hamid R. , Golmohammadi Mohammad H. , Rezaei Farshad , Abd Elaziz Mohamed , Forestiero Agostino , Lu Songfeng
Published: March 2022

Holding a lasting balance between the water resources and water demands has become a challenging task for water resources managers, especially in recent years with the looming global warming crisis and its resulting climatic change effects. This paper focuses on modeling the optimized operation of the Zayandehrud Reservoir, located in west-central Iran, under two fifth-generation climate change scenarios called RCP4.5 and RCP8.5. A novel variant of the gravitational search algorithm (GSA), named the adaptive accelerated GSA (AAGSA) is proposed and adopted as the optimizer of the reservoir operation in this paper. The major advancement of the AAGSA against the original GSA is its high exploration capability, allowing the proposal to effectively tackle a variety of difficulties any complex optimization problem can face. The goal of the optimization process is the maximization of the sustainability of supplying the downstream water demands by the reservoir. The optimal results obtained by the original GSA and the proposed AAGSA algorithms suggest that the AAGSA can achieve much more accurate results with much less computational runtime, such that the proposed AAGSA is able to achieve the reservoir operation sustainability index of 98.53% and 99.46%, under RCP4.5 and RCP8.5 scenarios, respectively. These figures are higher than those obtained by the original GSA by 23.5% and 16% under RCP4.5 and RCP8.5, respectively, while the runtime of the proposal is reduced by over 80% in both scenarios, as compared to the GSA, suggesting the high competence of the proposed AAGSA to solve such a high-dimensional and complex real-world engineering problem.
A High Flux Electrochemical Filtration System Based on Electrospun Carbon Nanofiber Membrane for Efficient Tetracycline Degradation
Authors: Yang Xue , Li Xian , Hu Yongyou , Cheng Jianhua , Chen Yuancai
Published: March 2022

In this work, an electrochemical filter using an electrospun carbon nanofiber membrane (ECNFM) anode fabricated by electrospinning, stabilization and carbonization was developed for the removal of antibiotic tetracycline (TC). ECNFM with 2.5 wt% terephthalic acid (PTA) carbonized at 1000 °C (ECNFM-2.5%-1000) exhibited higher tensile stress (0.75 MPa) and porosity (92.8%), more graphitic structures and lower electron transfer resistance (23.52 Ω). Under the optimal condition of applied voltage 2.0 V, pH 6.1, 0.1 mol L−1 Na2SO4, initial TC concentration 10 ppm and membrane flux 425 LMH, the TC removal efficiency of the electrochemical filter of ECNFM-2.5%-1000 reached 99.8%, and no obvious performance loss was observed after 8 h of continuous operation. The pseudo-first-order reaction rate constant in flow-through mode was 2.28 min−1, which was 10.53 times higher than that in batch mode. Meanwhile, the energy demand for 90% TC removal was only 0.017 kWh m−3. TC could be converted to intermediates with lower developmental toxicity and mutagenicity via the loss of functional groups (-CONH2, -CH3, -OH, -N(CH3)2) and ring opening reaction, which was mainly achieved by direct anodic oxidation. This study highlights the potential of ECNFM-based electrochemical filtration for efficient and economical drinking water purification.
The Promise of a Recalibrated Caribbean-European Union Partnership
Authors: Lodge Junior , Yves Jan
Published: March 2022

The Caribbean and the European Union (EU) have been enjoined in a formal bi-regional relationship since the signing of the Lomé Convention in 1975, and are firm proponents of multilateralism, strong advocates of regional integration, democracy and rule of law, and reflect vibrant multi-ethnic and multilingual polities. The bi-regional relationship has evolved considerably over the intervening 45 years, and is reflected in formal agreements between the African, Caribbean and Pacific (ACP) States and the EU, and in the sphere of economic cooperation, has been strengthened with the signing of the Cariforum-EU Economic Partnership Agreement (CEPA) in 2008. The EU also remains a significant source of development cooperation for the Caribbean, complemented by a sui generis project management regime that includes multi-annual programming. Beyond this, the bi-regional ties have expanded into new areas of joint multilateral endeavour such as the WTO Trade Facilitation Agreement (TFA) and the Paris Agreement on Climate Change. Despite the long and formal engagement, the Cariforum-EU partnership has not engendered either deep understanding of, or universal support in, each other’s conduct of multilateral negotiations. To the contrary, the partnership displays regular flashes of unease and arguably low-level tension. This paper seeks to assess the Caribbean-EU partnership in terms of its contribution of bi-regional trade and economic cooperation to Caribbean development, and possibilities for a renewed partnership considering new impulses shaping the Cariforum-EU relationship, including the post-Cotonou Agreement, Brexit, EU-LAC Political Dialogue and COVID-19 responses. A Cariforum-EU development agenda to fuel post-pandemic Caribbean recovery is mooted with the additional value of harnessing the promise of the revised partnership.
Discover. Develop. Deliver. An investigation of innovation processes and systems within New Zealand's red meat industry
Authors:   , Fortune Todd
Published: March 2022

New Zealand’s red meat industry faces challenges of the evolving alternative proteins sector, emerging consumer trends, and environmental concerns, all of which drive innovation. A hybridised lens of design thinking, systems thinking, and regenerative thinking was used to investigate the innovation processes and systems within New Zealand’s red meat industry. The case studies selected centred on the emerging relationship between Silver Fern Farms (a meat processor) and the Food Design Institute at Otago Polytechnic (a culinary educational institute that undertakes new product development as part of their curriculum) in the innovation space. Incremental innovations were found to be the primary output of the Silver Fern Farms’ stage-gate innovation process. Meanwhile, the Food Design Institute’s design thinking innovation process leads to more creative and radical innovations. Maintaining a competitive advantage requires the proactive response to the drivers listed above and the consideration for designing radical innovations. Several opportunities were identified for Silver Fern Farms and New Zealand’s red meat industry in general to maximise the co-creation of value for themselves, consumers, and socio-ecological systems. The majority of opportunities identified employ collaboration with other industries and organisations, especially those that utilise different frameworks and have expertise in niche markets. Opportunities include pathways for creating radical innovations and strategies for responding to the challenges.
Determinants of Service Export in ASEAN Member Countries
Authors: Situmorang Pidyatama Putri , Agustina Neli
Published: March 2022

ASEAN economy has undergone a shift, as has the structure of the global economy. The shift in the economy that occurred was from the main share of the agricultural sector to the industrial sector and the service sector. From year to year, the ASEAN service sector continues to experience positive growth with an increasing contribution beyond that of other sectors. ASEAN's service exports grew higher than ASEAN's goods exports. There are still several ASEAN member countries that experience a trade deficit in services, which is interesting to investigate further. This study aims to analyze the performance of service exports in 10 ASEAN member countries from 2010 to 2019. The results of panel data regression using the WLS fixed effect model show that foreign direct investment, nominal exchange rate, gross domestic product, services value added, gross domestic product, labor force, human capital and communication facilities have a significant effect on ASEAN's service export. The development of communication technology, development of human resources and updating of important policies are considered by the government to improve the performance of service exports of ASEAN member countries.
The Potential of Palm Oil as An Economic Recovery in Central Kalimantan in The Era of A Pandemic: Typology Klassen Analysis
Authors: Fadhilah Annisa Nur , Jowanti Lita , Ilafi Atika Kautsar
Published: March 2022

Palm oil is one of Central Kalimantan's leading commodities. With a plantation area of almost two million hectares. Central Kalimantan is capable of producing up to eight million tons of palm oil annually. During the pandemic, Central Kalimantan's economy experienced the deepest contraction of up to 3.17 percent due to restrictive policies to prevent the spread of the virus. According to Statistics of Indonesia, the agriculture, forestry, and fisheries sectors are the most resilient sectors because they can grow positively amid a pandemic. The palm oil commodity could be a solution for boosting the economy of Central Kalimantan through appropriate management strategies. One strategy in recovering from the impact of the pandemic is through Small and Medium Enterprise's innovation. Based on the Klassen Typology analysis, Pulang Pisau Regency has the biggest potential for developing oil palm SMEs (quadrant I). In addition, Palangka Raya City and Kapuas Regency are in quadrant IV, which means they have the highest number of SMEs. However, their economic growth has contracted.
Forecasting Hotel Occupancy Rate in Riau Province Using ARIMA and ARIMAX
Authors: Rizalde Fadlika Arsy , Mulyani Sri , Bachtiar Nelayesiana
Published: March 2022

Hotel Occupancy Rate is one of the important leading indicators for calculating the Accommodation Sub-Category of Gross Regional Domestic Product (GRDP). By the extreme decline of the Hotel Occupancy Rate data due to COVID-19 and the unavailability of current data to counting GRDP quarterly, the Hotel Occupancy Rate prediction needs to do with the appropriate forecasting method. The authors use data from Google Trends as an additional variable in predicting the Hotel Occupancy Rate using the ARIMAX model and then compares it with the ARIMA model. The results showed that the ARIMAX model had better accuracy than ARIMA, with a MAPE value of 9.64 percent and an RMSE of 4.21 percent. This research concluded that if there is no change in government policy related to social restrictions until the end of the year, the ARIMAX model predicts the December 2021 Hotel Occupancy Rate of 38.59 percent.
Development of Student's Dropout Early Warning System Using Analytical Hierarchy Process
Authors: Ariqah Naflah , Anang Yunarso
Published: March 2022

As a higher education institution, Politeknik Statistika STIS also faces the same problems as universities in general, those are student failing to compare that year courses thus have to repeat those courses or student dropping out. To overcome this problem, this research proposes a Dropout Early Warning System (DEWS) that can provide early warnings for dropouts and repeat a class. With this system, it is hoped that it can help institutions to identify students who have the potential to drop out or repeat a class. The purpose of making this system is to help academic supervisors and decision makers from Polstat STIS in knowing the potential for student. The potential for students to drop out and repeat a class is measured by a potential score obtained from the results of an assessment of 5 criteria consisting of GPA scores, gender, economic factors, violation points, and record of repeating class. Prediction results are presented in three categories consisting of low potential, medium potential, and high potential which are calculated from the results of weighting calculations using the Analytical Hierarchy Process (AHP). The system is tested and verified using Black Box test and the evaluation of the calculation method using confusion matrix. Based on the test results, the functions that exist in the system can function properly and can supply the needs.
Information System Development of Master’s and Doctoral Study Task Recommendation Using Fuzzy AHP
Authors: Ni'mah Nurul , Anang Yunarso
Published: March 2022

In improving quality of employees through education, Statistics Indonesia is assisted by Education and Training Centre, one of them through the Study Task program at Master's and Doctoral degrees. Due to the decrease of registrant as candidate participants of this program and to facilitate employees proposed, information system for providing recommendations Study Task program is needed. This research aims to provide recommendations to employees who are highly, moderately or not recommended being able to continue education with Study Task program using an information system. Decision-making in system is Fuzzy Analytic Hierarchy Process (Fuzzy AHP) method with assessment criteria, sub-criteria and their weights can be changed by certain actors. The system was built using the Framework for the Application of Systems Thinking (FAST) method. The system was evaluated by Black Box Testing with the results of all functions running well and System Usability Scale with results of 80.71 which means the system can be received by users. Finally, this system is expected to assist the selection of employees and provide opportunities for employees who are able to continue their education with Study Task program efficiently and reduce the subjectivity of the assessment.
Household Food Insecurity in DKI Jakarta Province at The Beginning of The Covid-19 Pandemic
Authors: Sutikno Lutfi Hamdani , Budiasih Budiasih
Published: March 2022

Food insecurity is a global issue that’s concern not only in poor and developing countries, but also in developed countries. Its conditions have worsened since the beginning of the Covid-19 pandemic where social restrictions and economic contraction caused many people to lose their jobs, incomes, and increased poverty. DKI Jakarta was one of the most economically affected provinces at the beginning of the Covid-19 pandemic where economic growth in the first quarter of 2020 recorded grow 5.06 percent year on year (the lowest in the last ten years) and slowed down by 0.56 percent overall quarter to quarter, and an increase of poverty 1.11 percent, the highest in Indonesia. This study examines the effect of household characteristics in DKI Jakarta on their food insecurity status at the beginning of the Covid-19 pandemic. The data used is the March 2020 Susenas which was analyzed descriptively and inferentially using firth logistic regression. The results showed that there were 4.47 percent of households in DKI Jakarta had food insecurity status at the beginning of the Covid-19 pandemic. In general, households with food insecurity status are poor, don’t have social security, the head of the household doesn’t work and less than high school education.
Sentiment Analysis on PeduliLindungi Application Using TextBlob and VADER Library
Authors: Illia Fathonah , Eugenia Migunani Puspita , Rutba Sita Aliya
Published: March 2022

The Covid-19 virus has become a global pandemic, including Indonesia. Various efforts have been made by the Government to reduce the negative impact by this pandemic, one of which is through the PeduliLindungi application. The research was conducted to obtain public sentiment towards the application by using twitter data. The data collection period is from August 31 to September 7, 2021, this period was chosen due to the emergence of news regarding vaccine data leaks associated with data leaks in the PeduliLindung application. Sentiment analysis is carried out using the TextBlob and VADER libraries. The results of this sentiment analysis are sufficient to display public opinion and it is hoped that decision makers can improve applications based on these opinions. Then, it was found that the VADER library can be said to be better in conducting sentiment analysis in research because the lexicon approach used is based on social media.
Knowledge Management System in Official Statistics: An Empirical Investigation on Indonesia Population Census
Authors: Abdi Putra Achmad Muchlis , Wijayanto Arie Wahyu
Published: March 2022

National statistical offices around the world show a strong interest in producing reliable, objective, and accurate information in compliance with a high level of professional and scientific standards. Such a set of information provided by government agencies is known as the official statistics. To support the potential of knowledge-based business processes and deliver high-quality public services, knowledge management systems (KMS) are undoubtedly required. In this work, we study the impact of embracing KMS in one of the most massive scale statistical census in South East Asia, the 2020 Indonesia Population Census (IPC2020). The regression analysis is utilized in this study where the perceived usefulness is the dependent variable and the perceived ease of use become the independent variable. Our findings reveal that KMS utilization gains a positive influence on the perceived ease of use and usefulness among the stakeholders and organizing personnel. This provides an incentive to enlarge the range of implementation and improve the system and infrastructure capability to better support the knowledge-driven collaboration among stakeholders of the statistical office.
Changing in National Infrastructure Policy: How It Affect Indonesia’s Economy?
Authors: Arsani Ade Marsinta , Huang Chaoqing
Published: March 2022

This research would like to firstly figure out how new infrastructure policy affects national economic structure changes, and secondly figure out does the new policy effect on inter-regional economy linkage. This study uses economic structure, growth decomposition, location quotient, and linkage analysis on Input-output table to indicate national and inter-regional level economic changes between 2010 and 2016 in Indonesia. We find that economic structure generally remains the same, only transportation and real estate sector increased their contribution, this may indicate the beginning of infrastructure development stage. During 2010 to 2016, the growth was led by the expansion of domestic demand in almost all sectors, however in some sectors the technological changes have a negative contribution. Furthermore, the two most linked sectors are manufacturing and electricity sectors. Inter-regional analysis indicated that Java and Sumatera have more power and sensitivity level compared to other regions. The suggestion to booster economy development is to implement technological process and publish policy considering regional characteristics may accelerate economic equity across regions.
A Simple Approach using Statistical-based Machine Learning to Predict the Weapon System Operational Readiness
Authors: Sumari Arwin Datumaya Wahyudi , Charlinawati Dimas Shella , Ariyanto Yuri
Published: March 2022

Weapon system operational readiness is a critical requirement to ensure the combat readiness in order to guarantee the state defense sustainability time by time. Weapon systems are only operated by the military and their readiness are programmed every year based on some factors such as the amount of the allocated budget, the weapon system strength, and its circulation. Usually, the weapon system readiness is programmed based on the planner’s experiences that are inherited from time to time. In this research, we proposed a simple approach by using statistical-based machine learning method called linear regression for helping the planner to predict the weapon system operational readiness faced to its affecting factors such as scheduled and unscheduled maintenance. We used a dataset from a randomized primary data for 5 years from year 2016 to year 2020 to predict year 2021. To ensure the performance of the model, two measurements are used namely, Mean Absolute Percentage Error (MAPE) to measure its accuracy and goodness, and R-squared (R2) to measure the ability of the independent variables, the weapon system circulation, influences the dependent variable, the weapon system readiness. From the measurement results, the models, in general, are able to achieve MAPE as much as 1.99% that has interpretation as very accurate prediction with the accuracy of 98.02%. On the other hand, the system is able to achieve R2 as much as 84.15% that means the combination of the independent variables altogether have given a strong influence to the dependent variable. The higher the value of R2 the better the model is. Our research conclude that linear regression is the proper machine learning model for predicting the weapon system operational readiness.
The Effect of Human Capital Inequality on Income Inequality: Evidence from Indonesia
Authors: Aqil Hafizh Meyzar , Wahyuniati Dwi
Published: March 2022

Education inequality in Indonesia tends to experience a downward trend which indicates that the education distribution is more equally distributed from year to year. this phenomenon should lead to a reduction in income inequality. However, income inequality in Indonesia has increased compared to 9 years ago. This study intends to look at the human capital inequality condition in provinces in Indonesia and analyze the effect of human capital inequality on income inequality. The Gini coefficient concept is used to measure human capital inequality and income inequality. The annual panel data covered 34 provinces in Indonesia from 2015 – 2019. The analytical methods used dynamic panel data regression using the Generalized Method of Moment (GMM) Arellano-Bond approach. The results indicate income inequality with a lag of 1 year, literacy rate, and trade openness have a negative and significant effect on income inequality. Furthermore, the human capital inequality and the average years of schooling have a positive and significant effect on income inequality. So, to reduce income inequality, policymakers are advised to minimize human capital inequality, especially in the education sector by paying attention to conditions in priority provinces.
The Effect of the Digital Economy on Indecent Work in Indonesia 2019
Authors: Risky Yuniar Putri Awaliyah , Projo Nucke Widowati Kusumo
Published: March 2022

The emergence of the digital economy is indicated to affect the employment sector. The job opportunities created by the digital economy provide an opportunity for workers to work in poor jobs, full of risks and indecent works. This study aims: first,  to describe the economic digital and indecent work conditions in Indonesia. Second, to investigate the direct influence of infrastructure and digital media on the digital economy. Third, to examine the direct impact of the digital economy on indecent work. The data used is secondary data with observations from 34 provinces sourced from BPS and other ministries. Using the SEM-PLS analysis method, the results show that infrastructure and digital media positively impact the digital economy. Similarly, the digital economy, reflected by e-commerce sellers and buyers, has a positive and significant relationship to indecent work as reflected by Employment Excessive Working Time (EEWT), Precarious Employment Rate (PER), and non-union workers. It can be said that the increase in the digital economy influences the conditions of indecent work.
Does Palapa Ring Project Infrastructure Bridging Connectivity and Economic Activity?
Authors: Eschachasthi Realita , Purwa Taly , Cendekia Diyang Gita
Published: March 2022

This study examines the impact of existence of the Indonesian Palapa Ring Project (PRP) infrastructure on connectivity and economic activities in 46 districts in the West, Central, and East package of PRP in 2015-2020. Connectivity is an internet activity that measured by using percentage of internet use and economic activity is measured by using Gross Regional Domestic Product (GRDP). The fixed effect staggered difference-in-difference is utilized to analyze the panel data obtained from Badan Pusat Statistik (BPS)-Statistics Indonesia. An examination of parallel trend assumptions, robustness check, and heterogeneity analysis are also presented. The results show that PRP infrastructure has a positive and significant impact on connectivity; yet has no significant effect on economic activity. In response to the findings, the policy should be designed by intensifying coverage and quality of the internet; proliferating Information Communication Technology (ICT) facilities in rural areas; and expanding education and digital literacy programs.
High-Throughput Computational Screening for Bipolar Magnetic Semiconductors
Authors: Wang Haidi , Feng Qingqing , Li Xingxing , Yang Jinlong
Published: March 2022

Searching ferromagnetic semiconductor materials with electrically controllable spin polarization is a long-term challenge for spintronics. Bipolar magnetic semiconductors (BMS), with valence and conduction band edges fully spin polarized in different spin directions, show great promise in this aspect because the carrier spin polarization direction can be easily tuned by voltage gate. Here, we propose a standard high-throughput computational screening scheme for searching BMS materials. The application of this scheme to the Materials Project database gives 11 intrinsic BMS materials (1 experimental and 10 theoretical) from nearly ~40000 structures. Among them, a room-temperature BMS

Li

2

V

3

TeO

8

(mp-771246) is discovered with a Curie temperature of 478 K. Moreover, the BMS feature can be maintained well when cutting the bulk

Li

2

V

3

TeO

8

into (001) nanofilms for realistic applications. This work provides a feasible solution for discovering novel intrinsic BMS materials from various crystal structure databases, paving the way for realizing electric-field controlled spintronics devices.
Spatial and Epidemiological Analyses of COVID-19 in the Older Population of the Brazilian Amazon Region During 2020
Authors: Shigaeff Nadia , de Souza Marcus Vinicius Mariano , Campos Ana Cristina Viana
Published: March 2022

Background and aims: In December 2019, the disease associated with SARS-CoV-2 was identified as the new coronavirus (COVID-19). The older population is regarded as the greatest risk group. The objective of the present study was to investigate the epidemiological aspects of COVID-19 during 2020 in the older adults in the Brazilians Amazon region. Methods: The present study is a longitudinal study based on a national database from the Website of the State Department of Health of Para from January to December 2020. Medical, socio-demographic, and geographical data were analyzed to assess the epidemiological data to verify whether there was an association between these variables using logistic regression. Results: Official data published until December 31 indicated 293802 confirmed cases and 7199 deaths from COVID-19 in the state of Para, as well as a 12.5% rate of fatality. Para has demonstrated a linear curve in relation to the number of deaths since August. More cases of COVID-19 were found among the older people, men, and people who declared themselves brown, and a greater chance of death was observed among indigenous and yellow people. Conclusion: Brazil is among the five countries with the highest number of infected cases and deaths resulting from COVID19, possibly due to poor planning concerning social isolation and the lack of public health policies and guidance by government leaders, especially in this specific context.
Factors Associated with Mortality from Renal Failure in Brazil: A Descriptive Epidemiological Study
Authors: de Souza Anacleto Maria Cecília , da Silva Jessica Souza Lopes , Gonçalves Millena Venâncio , da Silva Matias Antunes Mateus , de Andrade Diêgo Correia
Published: March 2022

Background and aims: The incidence of renal failure (RF) is growing in Brazil, resulting in increased public spending and negatively affecting the public health, which can lead to patient death. Identifying factors associated with mortality from this condition can help to characterize susceptible populations; therefore, institutional and governmental measures can be adopted for prevention and treatment. Materials and Methods: Descriptive epidemiological study using secondary data from Brazilian database (DATASUS). Deaths from RF between 2009 and 2019 and characteristics such as color/race, gender, education, region, and age group of the individuals were analyzed. Results: Since 2016, there has been a reduction of approximately 2% per year in the RF case fatality rate. North, Northeast, and Southeast regions had the highest case fatality rate, 13.6%, 13.17%, and 12.84%, respectively, which may be associated with high prevalence of chronic-degenerative diseases. The elderly had the highest case fatality rates, ranging from 9.67% in individuals aged 50-59 years to 27.52% in the elderly over 80 years. Children under 1 year of age had a high case fatality rate of 15.03%. Moreover, the case fatality rate for individuals with education levels above 12 years of schooling was 0.50%, while the case fatality rate for individuals with 1 to 3 years of schooling was 3.52%, which is seven times higher. Case fatality rates of indigenous populations in the South and Southeast regions were 12.0% and 16.5%, approximately 20% higher than other populations. Conclusion: The presence of chronic-degenerative diseases, age above 50 and below 1 (elderly and preterm newborns), low level of education and being indigenous are factors associated with mortality from RF in Brazil.
Psychological Сharacteristics of Women Survivors of Domestic Violence at Different Stages of Traumatization
Authors: Таусинова О.К. , Логинова И.О.
Published: March 2022

Проблема. Оказание психологической помощи женщинам, пережившим насилие, требует формирования теоретической базы анализа психологических особенностей женщин в зависимости от этапа травматизации, а также с учетом изменяющихся структурных и психологических условий.Цель. Исследование психологических особенностей женщин, переживших насилие в семье, на разных этапах травматизации.Материалы и методы. 78 женщин, из них 55 женщин обратились за помощью в реабилитационные центры и 23 женщины обратились к частному психологу для индивидуальной работы.Результаты. На основе данных факторного анализа разработана система психологических интервенций для женщин в зависимости от давности пережитого домашнего насилия: на первом этапе необходима работа, направленная на поддержку и возвращение минимального контроля над жизнью; на втором этапе важен процесс восстановления утраченной силы, начиная от физической безопасности до психологической; на третьем этапе возникает потребность в работе с собственной мотивацией и самореализацией, фокус может быть смещен на межличностные отношения, главный упор делается на будущее.Выводы. Исследование личностных особенностей женщин, переживших насилие в семье, показало специфику факторной модели в зависимости от этапа травматизации. Полученные результаты подтверждают идею о том, что на разных этапах психологическая поддержка должна быть различной в зависимости от описанного набора психологических характеристик.

Problem. Providing psychological assistance to women who have experienced violence requires the formation of a theoretical background for analyzing the psychological characteristics of women depending on the stage of traumatization, as well as taking into account the changing structural and psychological conditions.Objective. The study of the psychological characteristics of women survivors of domestic violence at different stages of traumatization.Sampling. 78 women, including 55 women who requested help at rehabilitation centers and 23 women who sought individual assistance by a private psychologist.Results. A system of psychological interventions for women depending on the stage of their experience of domestic violence has been developed based on factor analysis: the first stage required work for support and regaining minimum control over life; at the second stage the process of regaining lost strength, starting with physical safety and ending with psychological was of importance; the third stage required work with own motivation and self-realization, the focus might be switched towards interpersonal relationships, the main emphasis being given to the future.Conclusions. The study of the psychological characteristics of women survivors of domestic violence at different stages of traumatization showed the specificity of the factor model depending on the stage of traumatization. The results obtained confirm the idea that at different stages psychological support should be different, depending on the described set of psychological characteristics.
A Rhetoric or Genuine Transformation? An Afro- Decolonial analysis of Democratic Alliance Economic Justice Policy
Authors: Maphaka Dominic
Published: March 2022

The post-apartheid African National Congress-led government adopted several affirmative actions with an intention to dismantle the colonial-apartheid sponsored racial inequality manifested by the exclusion of black people in the country’s socio-economic and political developments. Equally, the emergence of black people in the Democratic Alliance leadership positions, saw the use of race as a basis to argue against persisting inequality between the majority of black South Africans and their white counterparts. This occasioned a heated debate within the party between white and black leaders, with the former refuting the use of race in policymaking to address the challenges faced by South Africa. Consequently, most black leaders left the party in a manner that academics and media regard as being pushed by their white counterparts inside the party, who oppose a shift from conservative to transformative policies. In recent times, the Democratic Alliance has adopted an Economic Justice Policy which excluded race as a basis to address inequality, poverty, and unemployment. This desktop article employs Afro-Decolonial perspective as an alternative lens to interrogate the question of whether Democratic Alliance Economic Justice Policy manifests that the organization is committed to transformation or the latter is just rhetoric. Methodologically, this is Afrocentric qualitative research that relied heavily on secondary data and adopted document analysis.