bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Service Quality, Product Quality, and Trust In Customer Satisfaction (Case Study at Bank BRI Syariah KCP Kendal)
Authors: Yuningrum Heny , Muyassarah Muyassarah , Astuti Risma Dewi
Published: June 2021

Purpose - This study aims to determine the effect of service quality, product quality, and trust on customer satisfaction (a case study at Bank BRI Syariah KCP Kendal).Method - The type of research carried out is a quantitative approach. The study population was all customers at Bank BRI Syariah KCP Kendal using the incidental sampling technique. Data were collected through a questionnaire or questionnaire with a Likert scale. This study uses validity and reliability tests, then classic assumption test, t test, F test, determination test and multiple linear regression equation test.Result - The results of this study are (1) service quality has a positive and significant effect on customer satisfaction (2) product quality has a positive and significant effect on customer satisfaction (3) trust has a positive and significant effect on customer satisfaction (4) service quality, product quality, and Trust together has a positive and significant effect on customer satisfaction.Implication - The implication is that service delivery and product quality as well as the trust given by the bank will affect customer satisfaction.Originality - This study shows that these three variables have a significant correlation to customer satisfaction.
Financing Relations Of MSME And Non-MSMEs, Number Of Syariah Bank Offices To Gross Regional Domestic Product
Authors: Taujiharrahman Darma , El-Junusi Rahman , Fataron Zuhdan Ady
Published: June 2021

AbstractPurpose - This study aims to analyse the relations of financing of MSME, non-MSMEs and the number of offices on Gross Regional Domestic Product of Central Java Province during 2014-2019.Method - This research is using The comparative causal research method which one of the ex post-facto quantitative research methods carried out by looking at the causal relationship between one change and another based on existing data.Result - The result of this research indicates that the financing of MSME and non-MSMEs had positive and significant effect on Gross Regional Domestic Product of Central Java Province during 2014-2019 and the number of offices had negative non-significant effect on Gross Regional Domestic Product of Central Java Province during 2014-2019.Implication - This study uses the data from Islamic bank in Central of Java and the Gross Regional Domestic Product of Central Java.Originality- The paper looks into the relations of the financial inclusion that provided by Islamic banks to the public in order to support the creation of economic growth in Central Java. The number of offices discribed the access to Islamic banks and the financing of MSME and non-MSMEs discribed the usage of Islamic banks in Central Java.
The Role Of Islamic Business Ethics In The Relationship Between Adaptability And The Business Performance Of Syariah Financial Institutions
Authors: Putranto Agus , Trihudiyatmanto Muhammad , Trihudiyatmanto Muhammad
Published: June 2021

Purpose - This study was to analyze how much influence adaptability has on business performance. The variables studied were independent variables consisting of adaptability variables and the dependent variable was business performance with Islamic business ethics as a moderating variable.Method - The research data were obtained from BMT Marhamah employees in Wonosobo Regency. Sampling from the population using the census sampling method. The data were collected using a survey method, namely the questionnaire was delivered and taken directly to the research object. Data analysis used the Structural Equation Modeling (SEM) test by checking the independent variables, moderating variables and dependent variables.Result - From the research that has been done, it is found that adaptability has an effect on business performance at BMT Marhamah Wonosobo. Islamic business ethics affect business performance at BMT Marhamah Wonosobo. adaptability has an effect on business performance at BMT Marhamah Wonosobo with Islamic business ethics as a moderating variable. This means that Islamic business ethics moderates the relationship between adaptability and business performance at BMT Marhamah Wonosobo.Implication - This study examines Micro Syariah Financial Institutions in Indonesia.Originality- There is a difference between theory and practice in Islamic Microfinance Institutions in Indonesia.
The Effect of Margin Income and Shares of Results on Net Profit Achieved In BRI Syariah
Authors: Azizah Astri Anantasari , Mujaddid Ade Yusuf , Farida Dessy Noor
Published: June 2021

AbstractPurpose - This study aims to analyze the effect of murabahah margin income, istishna 'margin income, mudharabah profit sharing, and musyarakah revenue sharing on net profit at BRI Syariah Bank during 2014-2019.Method - The research approach used in this research is a quantitative approach. In determining the sample, the research was carried out by using purposive sampling method. In this study, data was collected from secondary data, through quarterly financial reports published by Bank BRI Syariah in 2014-2019. The data analysis technique used is multiple linear regression data analysis techniques, Where researchers can conduct research between two or more independent variables on the dependent variable.Result - The results show that murabahah margin income has a negative and insignificant effect on net profit, istishna 'margin income has a negative and insignificant effect on net income, the profit sharing income from mudharabah has a positive and significant effect on net profit, and the profit sharing income for musyarakah has a negative and negative effect. not significant to net income during 2014-2019.Implication - This study uses BRI Syariah Financial Report data.Originality- This study looks at the relationship between the variable margin income and profit sharing income on the net profit variable generated by Bank BRI Syariah.
Repatriation of Polish Prisoners of War from Camps of Central Russia (1921–1922)
Authors:   Smolensk State University, Kodin E. V. , Rodionov I. I. ,   Smolensk State University
Published: June 2021

The problem of prisoners of war of the Polish-Soviet war of 1919–1920 remains one of the most debatable issues in modern historiography. This topic is poorly studied in both domestic and foreign (especially Polish) historiography. The article deals with the process and mechanism of repatriating Polish prisoners from camps in Central Russia in 1921–1922. The authors note that the discussion of repatriation began at the end of 1919. Negotiations ended with the signing of a repatriation agreement between the RSFSR, the Ukrainian SSR, and Poland on February 24, 1921. In accordance with the developed normative documentation, Polish prisoners of war were subjected to sanitary treatment (baths, haircuts) before being sent; they were given underwear and uniforms; they were provided with food for the period of their journey; and they were fully paid. Sick prisoners of war were sent in special trains or in separate ambulances accompanied by medical personnel. The first echelons with Polish prisoners of war began “leaving” for Poland in March 1921. Mass repatriation was completed by the autumn of the same year. In the future, repatriation concerned only individuals and would be of a personal nature. In total, almost 35 000 prisoners of war were sent to Poland.
Military Burials of the Great Patriotic War on the Territory of the Belarusian-Latvian- Russian Border in the Soviet Practice of Immortalization of Memory
Authors:   Polotsk State University, Korsak A. I.
Published: June 2021

Using archival materials from the National Archive of the Republic of Belarus, the State Archive of Vitebsk region, the Polotsk Zonal State Archive, and the Daugavpils Zonal State Archive of the National Archive of Latvia, as well as published documents of Russian archives and works of historians, this article examines the process of preserving the memory of the fallen soldiers of the Red (Soviet) Army on the territory of the Belarusian- Latvian-Russian border in the post-war Soviet period. The main conclusion is the correctness (incorrectness) of decision making by Soviet authorities at the level of districts and cities in relation to immortalization of the memory of fallen soldiers of the Red (Soviet) Army and partisans. One example of the primary analysis of a common grave in the village of Shevelevo in the Palkinskiy district of the Pskov region. The comparative analysis of the policy of preserving the memory of those who died during the Great Patriotic War, by taking into account military burials and their further memorialization at the Belarusian-Latvian-Russian border in the post-war period, gives us the opportunity to ascertain the specifics of the Soviet republics in this direction. The actions of the Soviet leadership depended on the time of liberation of the territory from the Nazis, as well as the quality of work of the “funeral teams” that were to perform the function of burial of the bodies of the Red (Soviet) Army soldiers after the end of the battle.
Variability of faecal sludge characteristics and its implication for dewaterability across different on-site sanitation containments in unplanned settlements in Dar es Salaam, Tanzania
Authors: Doglas Benjamin , Kimwaga Richard , Mayo Aloyce
Published: June 2021

This article evaluates the physical-chemical parameters of Faecal Sludge (FS) as possible predictors of dewatering performances. Also, the variability of FS dewatering characteristics was assessed from different containments and in different seasons in relationship with dewatering performance. A total of 120 samples were collected and analyzed during the rainy and dry seasons in April and July 2019, respectively, to capture seasonal variability. FS from pit latrines (PT) took longer to dewater followed by mixer containments, while soak-away sludge (SO) took a relatively short time to dewater. Also, FS from PT was found to have a high amount of settled solids, hence high % of TS in dry cakes. Slow dewatering and turbid supernatant corresponded to high pH, electrical conductivity and total solids, but cake solids after dewatering were correlated with total solids of FS. The FS dewaterability was higher for SO (DI = 0.9) and least for PT (DI = 0.3). Seasonal variability of FS dewaterability within the containments was higher for PT (DI = 0.74) and least for SO (DI = 0.5). Planning of FS treatment plants including sizing and design for effective dewatering performance, variation of physical-chemical dewatering predictors in sources and season could provide a relatively low-cost way to predict dewatering performance.
Functionalized Homologues and Positional Isomers of Rabbit 15-
Lipoxygenase RS75091 Inhibitor
Authors: Zhuravlev Alexander , Golovanov Alexey , Toporkov Valery , Kuhn Hartmut , Ivanov Igor
Published: June 2021

Background:

RS75091 is a cinnamic acid derivative that has been used for the crystallization
of the rabbit ALOX15-inhibitor complex. The atomic coordinates of the resolved ALOX15-
inhibitor complex were later on used to define the binding sites of other mammalian lipoxygenase
orthologs, for which no direct structural data with ligand has been reported so far.

Introduction:

The putative binding pocket of the human ALOX5 was reconstructed on the basis of
its structural alignment with rabbit ALOX15-RS75091 inhibitor. However, considering the possible
conformational changes the enzyme may undergo in solution, it remains unclear whether the existing
models adequately mirror the architecture of ALOX5 active site.

Methods:

In this study, we prepared a series of RS75091 derivatives using a Sonogashira coupling
reaction of regioisomeric bromocinnamates with protected acetylenic alcohols and tested their inhibitory
properties on rabbit ALOX15.

Results:

A bulky pentafluorophenyl moiety linked to either ortho- or metha-ethynylcinnamates via
aliphatic spacer does not significantly impair the inhibitory properties of RS75091.

Conclusion:

Hydroxylated 2- and 3-alkynylcinnamates may be suitable candidates for incorporation
of an aromatic linker group like tetrafluorophenylazides for photoaffinity labeling assays.
A Study on Privacy Preservation of Medical Certificates Using Blockchain Technology
Authors: Rupa Ch. , Chakkaravarthy Divya Midhun
Published: June 2021

:

Currently, blockchain technology has evolved into a reliable and secure platform to provide
security for the data. This technology's main adoption areas are agriculture, supply chain, food
sector, energy industries, Health care, Real estate, Voting system, and education sector. This paper
reviewed existing related works and applications using blockchain technology. Forgery or fraud on
medical documents is a significant challenge in the health care sector. Hence this paper proposed a
Blockchain-based framework using Ehterum that is a public blockchain. Users required medical
documents generated and issued by officials authentically in the way of a unique blockchain-based
ID. Users can submit this Blockchain-based ID anywhere instead of a physical paper. Attacks or
forgery on the medical document can reduce using advanced featured technology, Blockchain.
Blockchain technology has the features such as immutable, distributive, secure, reliable, and transparent.
Remix Etherum IDE, solidity programming, and Metamask Wallet were used to implement
the proposed application. The main strength of this work is designing and deploying results and
comparisons with the existing applications.
Feature Selection Techniques for the Analysis of Discriminative Features in Temporal and Frontal Lobe Epilepsy: A Comparative Study
Authors: Abbaszadeh Behrooz , Teixeira Cesar Alexandre Domingues , Yagoub Mustapha C.E.
Published: June 2021

Background:

Because about 30% of epileptic patients suffer from refractory epilepsy, an efficient automatic seizure prediction tool is in great demand to improve their life quality.

Methods:

In this work, time-domain discriminating preictal and interictal features were efficiently extracted from the intracranial electroencephalogram of twelve patients, i.e., six with temporal and six with frontal lobe epilepsy. The performance of three types of feature selection methods was compared using Matthews’s correlation coefficient (MCC).

Results:

Kruskal Wallis, a non-parametric approach, was found to perform better than the other approaches due to a simple and less resource consuming strategy as well as maintaining the highest MCC score. The impact of dividing the electroencephalogram signals into various sub-bands was investigated as well. The highest performance of Kruskal Wallis may suggest considering the importance of univariate features like complexity and interquartile ratio (IQR), along with autoregressive (AR) model parameters and the maximum (MAX) cross-correlation to efficiently predict epileptic seizures.

Conclusion:

The proposed approach has the potential to be implemented on a low power device by considering a few simple time domain characteristics for a specific sub-band. It should be noted that, as there is not a great deal of literature on frontal lobe epilepsy, the results of this work can be considered promising.
Using Electronic Medical Record Data for Research in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 Hospital in Beijing: Cross-sectional Study
Authors: Li Rui , Niu Yue , Scott Sarah Robbins , Zhou Chu , Lan Lan , Liang Zhigang , Li Jia
Published: June 2021

Background

With the proliferation of electronic medical record (EMR) systems, there is an increasing interest in utilizing EMR data for medical research; yet, there is no quantitative research on EMR data utilization for medical research purposes in China.

Objective

This study aimed to understand how and to what extent EMR data are utilized for medical research purposes in a Healthcare Information and Management Systems Society (HIMSS) Analytics Electronic Medical Record Adoption Model (EMRAM) Stage 7 hospital in Beijing, China. Obstacles and issues in the utilization of EMR data were also explored to provide a foundation for the improved utilization of such data.

Methods

For this descriptive cross-sectional study, cluster sampling from Xuanwu Hospital, one of two Stage 7 hospitals in Beijing, was conducted from 2016 to 2019. The utilization of EMR data was described as the number of requests, the proportion of requesters, and the frequency of requests per capita. Comparisons by year, professional title, and age were conducted by double-sided chi-square tests.

Results

From 2016 to 2019, EMR data utilization was poor, as the proportion of requesters was 5.8% and the frequency was 0.1 times per person per year. The frequency per capita gradually slowed and older senior-level staff more frequently used EMR data compared with younger staff.

Conclusions

The value of using EMR data for research purposes is not well studied in China. More research is needed to quantify to what extent EMR data are utilized across all hospitals in Beijing and how these systems can enhance future studies. The results of this study also suggest that young doctors may be less exposed or have less reason to access such research methods.
Online News Coverage of the Sugar-Sweetened Beverages Tax in Malaysia: Content Analysis
Authors: Mohd Hanim Muhammad Faiz , Md Sabri Budi Aslinie , Yusof Norashikin
Published: June 2021

Background

In Malaysia, the Sugar-Sweetened Beverages (SSBs) tax was announced during the parliament's 2019 Budget Speech. The tax was slated to be enforced by April 2019 but was later postponed to July 2019. The announcement has since generated significant media coverage and public feedback.

Objective

This study presents a qualitative and quantitative cross-sectional study using netnography to examine how Malaysian online news articles responded to the SSBs tax after the announcement and postimplementation.

Methods

Online news articles published on popular online news platforms from November 2018 to August 2019 were downloaded using NCapture and imported into NVivo for analysis using the inductive approach and thematic content analysis following the initial SSBs implementation announcement.

Results

A total of 62 news articles were analyzed. Most of the articles positively portrayed the SSBs tax (46.8%) and highlighted its health impacts (76%). There were 7 key framing arguments identified in the articles. The positive arguments revolved around incentivizing manufacturers to introduce healthier products voluntarily, positive health consequences, the tax’s impact on government revenue, and the use of the generated revenue toward beneficial social programs. The opposing arguments included increased operating costs to the manufacturer, the increased retail price of drinks, and how the SSBs tax is not a robust solution to obesity. The top priority sector considered in introducing the tax was the health perspective, followed by economic purposes and creating policies such as regulating the food and drinks industry.

Conclusions

The majority of online news articles positively reported the implementation of the SSBs tax in Malaysia. This suggests media played a role in garnering support for the health policy. As such, relevant bodies can use negative findings to anticipate and reframe counteracting arguments opposing the SSBs tax.
Making the COVID-19 Pandemic a Driver for Digital Health: Brazilian Strategies
Authors: Donida Bruna , da Costa Cristiano André , Scherer Juliana Nichterwitz
Published: June 2021

The COVID-19 outbreak exposed several problems faced by health systems worldwide, especially concerning the safe and rapid generation and sharing of health data. However, this pandemic scenario has also facilitated the rapid implementation and monitoring of technologies in the health field. In view of the occurrence of the public emergency caused by SARS-CoV-2 in Brazil, the Department of Informatics of the Brazilian Unified Health System created a contingency plan. In this paper, we aim to report the digital health strategies applied in Brazil and the first results obtained during the fight against COVID-19. Conecte SUS, a platform created to store all the health data of an individual throughout their life, is the center point of the Brazilian digital strategy. Access to the platform can be obtained through an app by the patient and the health professionals involved in the case. Health data sharing became possible due to the creation of the National Health Data Network (Rede Nacional de Dados em Saúde, RNDS). A mobile app was developed to guide citizens regarding the need to go to a health facility and to assist in disseminating official news about the virus. The mobile app can also alert the user if they have had contact with an infected person. The official numbers of cases and available hospital beds are updated and published daily on a website containing interactive graphs. These data are obtained due to creating a web-based notification system that uses the RNDS to share information about the cases. Preclinical care through telemedicine has become essential to prevent overload in health facilities. The exchange of experiences between medical teams from large centers and small hospitals was made possible using telehealth. Brazil took a giant step toward digital health adoption, creating and implementing important initiatives; however, these initiatives do not yet cover the entire health system. It is expected that the sharing of health data that are maintained and authorized by the patient will become a reality in the near future. The intention is to obtain better clinical outcomes, cost reduction, and faster and better services in the public health network.
A Hybrid Method Based on Semi-Supervised Learning for Relation Extraction in Chinese EMRs (Preprint)
Authors: Yang ChunMing
Published: June 2021

BACKGROUND

Extracting relations between the entities from Chinese electronic medical records(EMRs) is the key to automatically constructing medical knowledge graphs. Due to the less available labeled corpus, most of the current researches are based on shallow networks, which cannot fully capture the complex semantic features in the text of Chinese EMRs.

OBJECTIVE

In this study, a hybrid deep learning method based on semi-supervised learning is proposed to extract the entity relations from small-scale complex Chinese EMRs.

METHODS

The semantic features of sentences are extracted by residual network (ResNet) and the long dependent information is captured by bidirectional GRU (Gated Recurrent Unit). Then the attention mechanism is used to assign weights to the extracted features respectively, and the output of the two attention mechanisms is integrated for relation prediction. We adjusted the training process with manually annotated small-scale relational corpus and bootstrapping semi-supervised learning algorithm, and continuously expanded the datasets during the training process.

RESULTS

The experimental results show that the best F1-score of the proposed method on the overall relation categories reaches 89.78%, which is 13.07% higher than the baseline CNN model. The F1-score on DAP, SAP, SNAP, TeRD, TeAP, TeCP, TeRS, TeAS, TrAD, TrRD and TrAP 11 relation categories reaches 80.95%, 93.91%, 92.96%, 88.43%, 86.54%, 85.58%, 87.96%, 94.74%, 93.01%, 87.58% and 95.48%, respectively.

CONCLUSIONS

The hybrid neural network method strengthens the feature transfer and reuse between different network layers and reduces the cost of manual tagging relations. The results demonstrate that our proposed method is effective for the relation extraction in Chinese EMRs.
Comparison of the Differences Between Web-Based and Traditional Questionnaire Surveys in Pediatrics: Comparative Survey Study (Preprint)
Authors: Fang Heping , Xian Ruoling , Ma Zhuoying , Lu Mingyue , Hu Yan
Published: June 2021

BACKGROUND

A web-based survey is a novel method for data capture. Some studies have applied web-based surveys in pediatrics, but few of them have reported data on the differences between web-based and traditional questionnaire surveys.

OBJECTIVE

The objective of our study was to evaluate the internal consistency of a web-based survey and compare it with a traditional questionnaire survey in pediatrics.

METHODS

A convenience sample of caregivers was invited to participate in the survey on feeding patterns and their children’s eating behaviors if their children were aged 2 to 7 years. A web-based survey and a traditional questionnaire survey were carried out between October 2018 and July 2019. A total of 1085 caregivers were involved in this study, and they were divided into the following three groups based on methods and sources: (1) web-based survey from a web source, (2) web-based survey from a hospital source, and (3) traditional questionnaire survey from a hospital source. The data were then compared and analyzed.

RESULTS

A total of 735 caregivers participated in the web-based survey and 350 caregivers participated in the traditional questionnaire survey, and 816 cases were then included in the analyses after data processing. The effective rate of the web-based survey was 70.1% (515/735), and the completeness rate of the traditional questionnaire survey was 86.0% (301/350). There were no significant differences between web-based surveys from different sources. However, demographic characteristics were significantly different between the web-based and traditional questionnaire surveys, mainly in terms of age and caregivers (χ²4=16.509, P=.002 and χ²4=111.464, P<.001, respectively). Caregivers of children aged 2 to 3 years and grandparents were more likely to respond to the web-based survey. Age-specific stratified analysis showed that the score of “monitoring” and the reporting rate of “poor appetite” in children aged 2 to 3 years were significantly higher in the web-based survey compared to the traditional questionnaire survey after adjusting for demographic characteristics.

CONCLUSIONS

A web-based survey could be a feasible tool in pediatric studies. However, differences in demographic characteristics and their possible impacts on the results should be considered in the analyses.
Public attitudes to the use of routinely and non-routinely collected healthcare data in dementia and brain health research. (Preprint)
Authors: Gregory Sarah , Killin Lewis , Pullen Hannah , Dolan Clare , Hunter Matthew , Welstead Miles , Ritchie Craig William
Published: June 2021

BACKGROUND

Background: Harnessing the power of big data has unexplored potential in the field of dementia and brain health research. However, as interest in big data increases it is important to learn what the public understands about the use of their routinely collected healthcare data for research purposes, and their attitudes to such use. Participants’ data is increasingly collected in studies with open-data access processes in place, and through informed consent processes, participants show their willingness to share their data in this way. There remains an inherent flaw in research studies whereby the participants may not reflect the population at large representing a sampling bias. Access to medical records allows research studies to include a wholly representative sample.

OBJECTIVE

This study aimed to explore attitudes held by members of the public on the use of their healthcare data for dementia research purposes.

METHODS

Methods: Data was collected in a series of focus groups with semi-structured discussions. Transcripts from the focus groups were analysed using thematic analysis.

RESULTS

Results: Participants reported a willingness for their anonymised healthcare data to be accessed and used for research purposes, with some caveats for identifiable or highly sensitive data. Participants were happier for trusted organisations, such as the UK’s National Health Service and universities, to access their data compared to pharmaceutical companies. Clear and transparent communication about both the use of healthcare data in research studies and about study results was highlighted as important to participants. There was general misunderstanding about what healthcare data included and how researchers use healthcare data.

CONCLUSIONS

Conclusions: Overall, our findings underline the importance of clear communication to build trust and understand in the public about how their healthcare data can be used to support high quality dementia and brain health focussed data research.

CLINICALTRIAL

NA
Synthesis, Antiproliferative and Antimalarial Activities of Dinuclear Silver(I) Complexes with Triphenylphosphine and Thiosemicarbazones Ligands
Authors: Mohd Khir Nur Adila Fatin , Mohd Abdul Razak Mohd Ridzuan , Nordin Fariza Juliana , Mohd Sofyan Nur Rahimah Fitrah , Rajab Nur Fadilah , Sarip Rozie
Published: June 2021

A series of six sulfur-bridged dinuclear silver(I) thiosemicarbazone complexes were synthesized through the reaction of silver(I) nitrate with 4-phenyl-3-thiosemicarbazone derivatives together with triphenylphosphine (PPh3) (in a 1:1:2 molar ratio). Following structural characterizations using various techniques such as elemental analysis, Fourier-transform infrared (FTIR) spectroscopy, as well as 1H, 13C, 31P{1H}s, COSY, and 1H-13C nuclear magnetic resonance (NMR) spectroscopy, it was found that the thiosemicarbazone ligand exists in the form of a thione rather than thiol tautomer. Subsequently, MDA-MB-231 and MCF-7 breast cancer cell lines, as well as the HT-29 colon cancer cell lines, were used to investigate the in vitro antiproliferative activities of these complexes. In all cases, the IC50 values were in the potent micromolar range. Besides, the aforementioned complexes also had good antiplasmodial activity against chloroquine-resistant P. falciparum, as per the results of histidine-rich protein 2 (HRP2) assays and cytotoxicity evaluations of MDBK cells.
Groundwater Recharge Area Based on Hydrochemical and Environmental Isotopes Analysis in the South Bandung Volcanic Area
Authors: Maria Rizka Maria , Satrio Satrio , Iskandarsyah Teuku Yan Waliyana Muda , Suganda Bombom Rachmat , Delinom Robert Mohammad , Marganingrum Dyah , Purwoko Wahyu , Sukmayadi Dady , Hendarmawan Hendarmawan
Published: June 2021

The determination of recharge areas needs to support the groundwater conservation in the southern volcanic Bandung area. This study aims to determine the recharge area based on environmental isotopes and hydrochemical. A sampling of 26 groundwater was carried out at springs, dug wells, and drilling wells. The variation in groundwater chemistry principally is controlled by a combination of ion exchange, silicate weathering, calcite, and dolomite dissolution of minerals. The hydrochemical facies were CaCl, CaMgCl, CaMgHCO3, CaHCO3, and NaKHCO3. The CaHCO3 facies describe moderate groundwater flows. The NaKHCO3 facies shows the mixing of shallow and deep groundwater. The recharge area in the central, proximal, and medial facies zone consists of 3 groups. Group I is considered water originating from local rainwater infiltration; Group II is considered the infiltration elevation which ranges from 980–1230 m asl; Group III estimated to be derived from the recharge elevation between 750–970 m asl, Group IV are more likely to show symptoms of evaporation or interaction with surface water. The discharge area is characterized by less active groundwater circulation, with dominant HCO3– and TDS value in the distal facies zone. Hydrochemical variation helped the identification of recharge areas in the volcanic facies.
Analysis and Characterization of Solid and Liquid Organic Fertilizer from Hydrothermal Carbonization (HTC) of Chicken Feather and Blood Waste
Authors: Kuncaka Agus , Arvianto Rizky Ibnufaatih , Latifa Almas Shafira Ramadhanty Bunga , Rambe Munawir Ramadhan , Suratman Adhitasari , Triono Sugeng
Published: June 2021

Conversion of feather and blood from chicken slaughterhouse waste for producing solid and liquid organic fertilizer excluding composting process with a variation of the mass ratio of feather and blood of a chicken has been conducted. The nitrogen, sulfur, and iron content in the solid and liquid product of the hydrothermal carbonization process were analyzed to identify and characterize the possibility of hydrolysate as a source of nitrogen, sulfur, and iron in soil fertilizer. Feather and blood of chicken waste were introduced to a hydrothermal carbonization reactor with the addition of limestone at a temperature range of 160–170 °C for the preparation of solid and liquid organic fertilizer. According to the FTIR interpretation, the solid product had functional groups such as NH, OH, CH sp3, SH, C=O, C=C, C–O–C, and C–H aromatic. The nitrogen, sulfur, and iron content of the optimal ratio in the solid phase were 4.67%, 1.63%, and 3694.56 ppm, while their contents in the liquid fertilizer were 3.76%, 1.80%, and 221.56 ppm, respectively. The vibration of 478 cm–1 is attributed to Fe–O paramagnetic (Fe2O3) confirmed by TEM images showed the diameter size less than 20 nm indicating the presence of superparamagnetic material.
Data Fusion of UV-Vis and FTIR Spectra Combined with Principal Component Analysis for Distinguishing of Andrographis paniculata Extracts Based on Cultivation Ages and Solvent Extraction
Authors: Kautsar Antonio , Wahyuni Wulan Tri , Syafitri Utami Dyah , Muflihah Syifa , Mawadah Nursifa , Rohaeti Eti , Arif Zulhan , Prajogo Bambang , Amran Muhammad Bachri , Rohman Abdul , Rafi Mohamad
Published: June 2021

Andrographis paniculata is one of the medicinal plants used for the treatment of antidiabetic. Cultivation ages and solvent extraction affected metabolites' composition and concentration that directly cause the plant's efficacies. This research aimed to distinguish A. paniculata based on cultivation ages and solvent extraction using data fusion of UV-Vis and FTIR spectra combined with principal component analysis (PCA). A. paniculata with 2, 3, and 4 months post-planting were extracted by water, 50% ethanol, 70% ethanol, and ethanol. In each extract, we measured UV-Vis and FTIR spectra. Then, we used the data fusion from both spectra. We used UV-Vis and FTIR absorbance from 200–400 nm and 1800–400 cm–1, respectively. Each extract gives a similar pattern of UV-Vis and FTIR spectra, only differ in their intensities. PCA score plot in two and three-dimensional showed A. paniculata extracts could be distinguished based on cultivation ages and solvent extraction with a total variance of 86 and 92%, respectively. Furthermore, this study confirms the data fusion of UV-Vis and FTIR spectra could distinguished A. paniculata extracts combined with chemometrics based on cultivation ages and solvent extraction.
Performance Improvements of Bixin and Metal-Bixin Complexes Sensitized Solar Cells by 1-Methyl-3-propylimidazolium Iodide in Electrolyte System
Authors: Rahmalia Winda , Septiani Septiani , Naselia Uray Amira , Usman Thamrin , Silalahi Imelda Hotmarisi , Mouloungui Zéphirin
Published: June 2021

Bixin is one of the potential natural sensitizers used in dye-sensitized solar cells (DSSCs). In this study, bixin was complexed with Cu(II) and Zn(II) to increase its stability. The formation of the complexes was indicated by shifting peaks absorption and the changes in the fine spectral structure observed from the UV-Vis absorption spectra. The metal-bixin complex occurs due to the interaction between the ester groups of bixin and the metal. Bixin, Cu-bixin, and Zn-bixin were used separately as sensitizers in DSSCs. The DSSCs performance was then improved by adding 1-methyl-3-propylimidazolium iodide (MPII) to the electrolyte system. The presence of MPII 0.4 M in KI-I2 electrolyte produced a higher ionic conductivity value (20.44 mS cm–1) than that without MPII (11.14 mS cm–1). This electrolyte system significantly improved DSSCs performance. Under a light intensity of 300 W/m2, the maximum energy conversion efficiencies of DSSC with bixin, Cu-bixin, and Zn-bixin as sensitizers are 0.084, 0.081, and 0.005%, respectively. The Zn-bixin-based DSSC was stable under high light intensity. Under 700 W/m2, its maximum energy conversion efficiency reaches 0.125%. There was a synergistic work observed between the metal-bixin complex and the MPII based electrolyte. This result can open the way for constructing functional materials for solar cell applications.
Solvatochromism and Theoretical Studies of Dicyanobis(phenylpyridine)iridium(III) Complex Using Density Functional Theory
Authors: Ali Noorshida Mohd , Meijer Anthony J. H. M. , Ward Michael D. , Daud Norlinda , Hashim Norhayati , Md Isa Illyas
Published: June 2021

Luminescent cyanometallate [Ir(ppy)2(CN)2]– (ppy = C6H5C5H4N) has recently gained attention due to its desired photophysical properties. Our research group reported that the [Ir(ppy)2(CN)2]– has shown a negative solvatochromism like [Ru(bipy)(CN)4]2–, resulting in a blue-shift of the UV-Vis absorption bands in the water. Therefore, to gain insight into the specific solvent-solute interaction governed by the hydrogen bond in the solvation hydration shell, density functional theory (DFT) calculations were performed on the singlet ground state of the [Ir(ppy)2(CN)2]– and its solvent environment in the water at B3LYP level theory. It was demonstrated, seven water molecules provided a good description of the relevant spectra: IR and UV-Vis. The calculation reproduced the positions and intensities of the observed n(CºN) bands at 2069 and 2089 cm–1. The calculated MLCT transition wavelength was 366 nm vs. a measured value of 358 nm, differing by 8 nm. The study revealed the water molecules interacted with cyanide ligands through CN⋯H-OH type hydrogen bonds and water-water interactions (HO-H⋯OH2 type hydrogen bonds) were involved in the solvation hydration shell around the [Ir(ppy)2(CN)2]–.
Understanding factors of ambulance delay and crash to enhance ambulance efficiency: an integrative literature review
Authors: Wiwekananda Ketut Shri Satya , Hamukti Rizqiko Pandai , Yogananda Ketut Shri Satya , Calisto Kadek Egadia , Utomo Prattama Santoso
Published: June 2021

Trauma is one of the major causes of deaths worldwide. The referral time of trauma patients to the trauma center is a vital determinant of traumatic injury patients’ survival. Ambulance delays and crashes are the major causes of delay of patient transportation to the hospital. This review was conducted to find the main factors that cause ambulance crashes and ambulance delays; and discuss the correlation of both factors. Hence, the authors might suggest an appropriate solution to minimize ambulance delay and crash incidents. This integrative literature review applied the PRISMA-P protocol to ensure a robust literature search. A total of nine databases and publishers (i.e., PubMed, Scopus, ScienceDirect, ASCE Library, Clinical Key, EBSCO, Cambridge, Taylor & Francis, and ProQuest) were searched using relevant keywords to obtain studies on ambulance delays and ambulance crashes. The literature search retrieved 620 studies to be screened based on the exclusion-inclusion criteria which finally resulted in the 12 studies included in the review. The researchers conducted a risk of bias assessment using Joanna Briggs Institute's critical appraisal tools. Data from the included studies were then extracted and analyzed using descriptive statistics to identify the factors affecting ambulance delays and crashes. After conducting an integrative literature review, the main factor that causes ambulance delays is traffic congestion. Meanwhile, the main factor causing ambulance crashes is intersection. Traffic congestion often occurs especially at intersections. The authors concluded that, intersections have a significant effect on ambulance delays and also ambulance crashes. To overcome this problem, the authors suggest to make an additional ambulance caution signal lamp on all congested intersections.
Quasi-Alliance at Play: The Curious Case of South Korea’s Aborted Withdrawal from GSOMIA in 2019
Authors: Aini Resi Qurrata , Kurniawan Yandry
Published: June 2021

This study aims to explain why countries maintain security cooperation with a partner even though they are in the middle of severe tensions. This is experienced by the Republic of Korea (ROK), which preferred to maintain its security cooperation with Japan under the General Security of Military Information Agreement (GSOMIA). This research utilizes the concept of abandonment fears to explain South Korea's behavior in reversing its self-declared withdrawal from GSOMIA in 2019. By conducting a deductive-qualitative research approach, this research shows that South Korea was in a position of abandonment fears—fears of being ignored by Japan—magnified by the uncertainty of US commitment. For now, South Korea considers Japan as the most likely partner choice in the region. Thus, Seoul decided to maintain the partnership with Japan within the GSOMIA framework and compromise its grievances with the latter.
Data Curation, Fisheries, and Ecosystem-based Management: the Case Study of the Pecheker Database
Authors: Martin Alexis , Chazeau Charlotte , Gasco Nicolas , Duhamel Guy , Pruvost Patrice
Published: June 2021

The scientific monitoring of the Southern Ocean French fishing industry is based on the use the Pecheker database. Pecheker is dedicated to the digital curation of the data collected on field by scientific observers and which analysis allows the scientists of the MusÃ©um national dâ€™Histoire naturelle institution to provide guidelines and advice for the regulation of the fishing activity, the protection of the fish stocks and the protection of the marine ecosystems. The template of Pecheker has been developed to make the database adapted to the ecosystem-based management concept. Considering the global context of biodiversity erosion, this modern approach of management aims to take account of the environmental background of the fisheries to ensure their sustainable development. Completeness and high quality of the raw data is a key element for an ecosystem-based management database such as Pecheker. Here, we present the development of this database as a case study of fisheries data curation to be shared with the readers. Full code to deploy a database based on the Pecheker template is provided in supplementary materials. Considering the success factors we could identify, we propose a discussion about how the community could build a global fisheries information system based on a network of small databases including interoperability standards.
Moving Objects Semantic Segmentation using SegNet with VGG Encoder for Autonomous Driving
Authors: Setiawan Wahyudi , Cahyono Kori
Published: June 2021

Segmentation and recognition become the general steps to identify objects. This research discusses pixel-wise semantic segmentation based on moving objects. The data from the CamVid video which is a collection of autonomous driving images. The image data consist of 701 images accompanied by labels. The segmentation and recognition of 11 objects contained in the image (sky, building, pole, road, pavement, tree, sign-symbol, fence, car, pedestrian and bicyclist) is representing. This moving object segmentation is carried out using SegNet which is one of the Convolutional Neural Network (CNN) methods. Image segmentation on CNN generally consists of two parts: Encoder and Decoder. VGG16 and VGG19 pre-trained networks are used as encoders, while decoders are the upsampling of encoders. Network optimization uses stochastic gradient descent of Momentum (SGDM). The test produces the best recognition was road objects with an accuracy of 0.96013, IoU 0.93745, F1-Score 0.8535 using VGG19 encoder, while when using VGG16 encoder accuracy was 0.94162, IoU 0.92309, and F1-Score 0.8535.
Convolutional Neural Network with Hyperparameter Tuning for Brain Tumor Classification
Authors: Minarno Agus Eko , Hazmi Cokro Mandiri Mochammad , Munarko Yuda , Hariyady Hariyady
Published: June 2021

Brain tumor has been acknowledged as the most dangerous disease through all its circles. Early identification of tumor disease is considered pivotal to identify the spread of brain tumors in administering the appropriate treatment. This study proposes a Convolutional Neural Network method to detect brain tumor on MRI images. The 3264 datasets were undertaken in this study with detailed images of Glioma tumor (926 images), Meningioma tumors (937 images), pituitary tumors (901 images), and other with no-tumors (500 images). The application of CNN method combined with Hyperparameter Tuning is proposed to achieve optimal results in classifying the brain tumor types. Hyperparameter Tuning acts as a navigator to achieve the best parameters in the proposed CNN model. In this study, the model testing was conducted with three different scenarios. The result of brain tumor classification depicts an accuracy of 96% in the third model testing scenario.
Network Forensics Against Ryuk Ransomware Using Trigger, Acquire, Analysis, Report, and Action (TAARA) Method
Authors: Surya Kusuma Ridho , Umar Rusydi , Riadi Imam
Published: June 2021

This study aims to reconstruct an attack event and analyze the source of viral infection based on network traffic logs so that the information obtained can be used for a new reference in the security system. Recent attacks on computer network systems cannot be easily detected, as cybercrime has used a variant of the Ryuk Ransomware virus to penetrate security systems, encrypt drives, and computer network resources. This virus is very destructive and has an effective design with a file size of about 200,487 Bytes so it does not look suspicious. The research steps are done through Trigger, Acquire, Analysis, Report, and Action (TAARA). The forensic tools used to obtain log data are Wireshark, NetworkMiner, and TCPDUMP. Based on the results of forensic data obtained include a timestamp, source of the attack, IP address, MAC address, hash signature sha256, internet protocol, and the process of infection. Based on the data obtained in this study has been by the expected objectives.
DOWN SENDROMLU BİREYLERİN GELİŞİMİNDE MÜZİK EĞİTİMİNİN ROLÜ
Authors: KARATAŞ Yasemin , KARATAŞ Ahmet
Published: June 2021

Down sendromu, bireylerin gelişimlerini etkileyen genetik bir durumdur ve normal gelişim gösteren bireylerdeki gibi olması gereken 21. kromozomun 2 adet yerine 3 adet olmasıyla ortaya çıkmaktadır. Erken yaşlarda alınan eğitimler aracılığıyla, gecikmeleri desteklenebilmektedir. Bu süreç içerisinde müzik eğitiminden de fazlasıyla yararlanılabilmektedir. Müzik eğitimi aracılığıyla, Down sendromlu bireylerin gelişim alanlarından ilerlemeler kaydedilebilmektedir. Down sendromlu bireylerin müziğe olan eğilimleri göz önünde bulundurulduğunda, müzik eğitimi aracılığıyla gelişimlerine katkı sağlanabilmektedir. Down sendromlu bireylerin gelişim süreçlerinde müzik eğitiminin sosyal gelişim, iletişim becerileri, dil gelişimi, motor beceriler, zihin gelişimi gibi birçok alana katkı sağladığı belirlenmiştir. Bu araştırma, betimsel nitelikte bir araştırmadır. Var olan durumu ortaya koymak adına kaynak tarama modeline uygun olarak gerçekleştirilmiştir. Kaynak tarama modeli, çalışmanın kavramsal çerçeveye oturtulması amacıyla gerçekleştirilmektedir. Bu doğrultuda Down sendromu, Down sendromlu bireyler ve eğitim süreçleri, Down sendromlu bireylerin gelişim süreçlerinde Müzik eğitiminin önemi gibi konulara değinilmiş, geçmişte yapılmış çalışmalar incelenmiştir. Araştırma sonucunda ise, Down sendromlu bireylerin gelişim süreçlerinde müzik eğitiminin oldukça faydalı bir araç olduğu ortaya çıkmıştır.