99 research outputs found
Application of unweighted pair group methods with arithmetic average (UPGMA) for identification of kinship types and spreading of ebola virus through establishment of phylogenetic tree
State of the art of machine learning: an overview of the past, current, and the future research trends in the era of quantum computing
This paper describes data science history and behavioral trends on the largest platform for learning and competition in analyzing and modeling data; Kaggle. We analyze the history of methods commonly used in linear predictor to predict, classify, cluster, and explore data sets. In addition, we also examine the use of the most widely used tools and frameworks to help make data modeling easier. The analysis was carried out on the forum discussion data for the last ten years based on the data available on meta-Kaggle. To see the future trend of data science and linear predictor models, we analyzed the abstracts on the articles available on the Elsevier search page. We extracted information from them using a machine learning method
State of the art of machine learning: an overview of the past, current, and the future research trends in the era of quantum computing
This paper describes data science history and behavioral trends on the largest platform for learning and competition in analyzing and modeling data; Kaggle. We analyze the history of methods commonly used in linear predictor to predict, classify, cluster, and explore data sets. In addition, we also examine the use of the most widely used tools and frameworks to help make data modeling easier. The analysis was carried out on the forum discussion data for the last ten years based on the data available on meta-Kaggle. To see the future trend of data science and linear predictor models, we analyzed the abstracts on the articles available on the Elsevier search page. We extracted information from them using a machine learning method
Customer Complaints Clusterization of Government Drinking Water Company on Social Media Twitter using Text Mining
Exploring the Evolution of Electric Vehicle Charging Infrastructure: A Bibliometric Perspective on Public Electric Vehicle Charging Station Location Planning
The rapid expansion of electric vehicles (EVs) is a crucial factor in achieving low-carbon mobility and promoting sustainable regional development. The attainment of this objective depends on technological advancement, institutional readiness, spatial equity, and governance capabilities. The establishment of Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) in Indonesia must be understood within a framework that connects infrastructure planning to social, economic, and political factors. This research analyzes the evolution of international scientific dialogue regarding EV charging infrastructure through a bibliometric lens, focusing on publications from 2010 to 2025. This study utilizes Scopus data and analytical tools, including VOSviewer and Publish or Perish, to identify leading authors, key journals, and emerging subject trends. The results suggest that future SPKLU planning in Indonesia requires an integrated framework that aligns technological precision with public governance principles. This approach should account for decentralization dynamics, regional disparities, and institutional capacity, ensuring that improvements to EV infrastructure contribute to carbon-reduction goals while fostering equitable and sustainable regional development
Classification of Poverty Levels Using k-Nearest Neighbor and Learning Vector Quantization Methods
Implementation of Design Thinking Method in Pediatric Specialist Clinic Service Innovation: Case Study of SPC Pediatric Clinic
This research aims to evaluate the implementation of the Design Thinking method in service innovation at SPC Pediatric Clinic. This method is applied to improve service quality and efficiency through five stages: Empathize, Define, Ideate, Prototype, and Test. Data were collected through interviews, observation, documentation, and questionnaires, then analysed using the Miles and Huberman model. The results showed that innovations such as online registration, home care services, health education, service specialisation, and partnerships with schools successfully improved patient satisfaction. Technical, coordination, and adaptation constraints were also identified but were overcome with gradual improvements. The overall implementation of these innovations had a positive impact on patient comfort and trust
SYNTHESIS OF C-GLYCOSYL AMINO ACIDS AS STABLE BUILDING BLOCKS FOR MODIFIED GLYCOPEPTIDE SYNTHESIS
In this thesis, we have studied and synthesized new class of C-glycosly amino acids whose structure features a
hetrocycle ring holding the carbohydrate and the amino acid fragments. Pyridine and tetrazole rings were used as
hetrocycle linkers in this project. This class of C-glycosyl amino acids is of interest as new chealtors and as building
building blocks for cotranslational glycopeptides synthesis. In the first part, C-Glycosylmethyl pyridylalanines were
synthesized via thermally induced Hantzsch-type cyclocondensation using an aldehyde-ketoester-enamino ester system.
To one of these reagents was attached a C-glycosyl residue, while to another was bound an amino acid fragment. In a
one-pot optimized methodology, the dihydropyridine was not isolated while its purification was carried out by removal
of unreacted material and side products using polymer-supported scavengers. Then the dihydropyridine (mixture of
diastereoisomers) was oxidized by a polymer-bound oxidant to give the target pyridine bearing the two bioactive
residues. In this way, a range of eight compounds (58-68% yield) was prepared in which the elements of diversity were
(i) the gluco and galacto configurations of the pyranose ring, (ii) the α- and β-configurations at the anomeric center, and
(iii) the positions of the carbohydrate and amino acid sectors in the pyridine ring. The orthogonal functional group
protection in these amino acids allowed their easy incorporation into oligopeptides via sequential amino and carboxylic
group coupling.
In the second part, tetrazole moiety was constructed via Huisgen 1,3-dipolar cycloaddition between nitriles and organic
azides. Two sets of compounds have been prepared, one being constituted of C-galactosyl and C-ribosyl O-tetrazolyl
serines, while the other contains S-tetrazolyl cysteine derivatives. In both cases, the synthetic scheme involved a twostep
route: the first one being the thermal cycloaddition of a sugar azide with p-toluensulfonyl cyanide (TsCN) to give a
1-substituted 5-sulfonyl tetrazole and the second the replacement of the tosyl group with a serine or cysteine residue.
For the high efficiency and operational simplicity, the azide-TsCN cycloaddition appears to be a true click process.
Finally, one of the amino acids prepared was incorporated into a tripeptid
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