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Salacca zalacca extract's antiaging effect on aging genes, protein levels, and apoptosis in UV-induced fibroblast cells

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Journal of Taibah University Medical Sciences 2025年第3期20卷 349-358页

作者： Widowati, Wahyu Dani, Dani Vera, Vera Wargasetia, Teresa L. Rahardja, Fanny Tih, Fen Onggowidjaja, Philips Tjokropranoto, Rita Zahiroh, Fadhilah H. Azis, Rizal Priyandoko, Didik Surakusumah, Wahyu Hadiprasetyo, Dhanar S. Faculty of Medicine Maranatha Christian University West Java Bandung Indonesia Bimolecular and Biomedical Research Center Aretha Medika Utama West Java Bandung Indonesia Biomedical Engineering Department of Electrical Engineering Faculty of Engineering Universitas Indonesia West Java Depok Indonesia Biology Study Program Faculty of Mathematics and Science Education Universitas Pendidikan Indonesia West Java Bandung Indonesia Faculty of Pharmacy Universitas Jenderal Achmad Yani West Java Cimahi Indonesia

Objectives: Ultraviolet (UV) exposure can hasten the aging process of the skin. The use of chemicals for anti-aging has long-term adverse effects. The natural ingredients of snake fruit (Salacca zalacca L.) are known to have bioactive properties such as polyphenols, flavonoids, chlorogenic acid, and caffeic acid which have antiaging potential. The study aims to ascertain the potential of S. zalacca Extract (SZE) as an antiaging agent by in vitro assay. Methods: The SZE compound content was analyzed by LC-MS/MS. SZE viability test on human skin fibroblast (BJ) cells was carried out using the WST assay. BJ cells were UV-induced as a cell model of premature aging. SZE 6.25, 12.5, and 25 μg/mL were administered to UV-induced BJ cells. The gene expression of COL1A1, MMP-1, FGF-2, and GPX-1 were analyzed by quantitative Real-Time PCR. Elastin (ELN), Hyaluronidase (HAse), Cyclooxigenase-2 (COX-2), 8-Hydroxydeoxyguanosine (8-OHdG), and Melatonin (MT) protein levels were analyzed by ELISA assay. The apoptosis of BJ cells was analyzed using flow cytometry. One-way ANOVA in SPSS Software was used for statistical analysis. Results: Treatment with SZE increased COL1A1, FGF-2, and GPX-1 gene expression and also decreased MMP-1 gene expression. SZE also increased ELN and MT levels in UV-induced BJ cells. After SZE treatment, the protein levels of HAse, COX-2, and 8-OHdG decreased compared to the positive control. SZE also succeeded in maintaining the lives of BJ cells and reducing apoptosis in BJ cells. Conclusions: SZE has the potential to be an antiaging agent by in vitro assay. © 2025 The Authors

关键词： Antiaging Antioxidant Chlorogenic acid Salacca zalacca Ultraviolet

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Analysis of the need for the development of learning media for IOT-Based smart building installation systems 6

Analysis of the need for the development of learning media f...

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6th International Conference on Technology and Vocational Teachers, ICTVT 2020

作者： Salsabila, A. Khairudin, M. Postgraduate Program of Electrical Engineering Education Universitas Negeri Yogyakarta Indonesia Department of Electrical Engineering Educatio Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

Learning media is a means of learning for students that can provide a real picture of real work that has a high risk if it is carried out directly. Learning media has a role in facilitating students to be able to experience it directly with minimal risk from a practicum. Analyzing the need for making learning media is very important for the development of real learning media. This study aims to: (1) Determine the need for the development of learning media for IOT-based smart building installation systems in Vocational High School (VHS);(2) Analyzing the needs used in the development of learning media for IOT-based smart building installation systems in VHS. The results showed that the things needed in developing IOT learning media were seen from the technology used in the form of (1) Software based on media interaction with the internet using a visual studio;(2) Arduino Uno, temperature sensor device, ESP8266, gas sensor and light sensor are needed as hardware to reflect building capabilities;(3) The cloud computing system uses spread sheets to store data;(4) Internet network for uploading and downloading data. In its implementation, a needs analysis for the development of instructional media is needed so that in the later development process the media is developed appropriately and on target. The results of research and development research using the ADDIE method need the development of learning media for IOT-based smart building installation systems in vocational high schools to improve the learning abilities of students. © Published under licence by IOP Publishing Ltd.

关键词： Students

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Defect Detection of Agricultural Commodities using Image Processing and Artificial Neural Networks

Defect Detection of Agricultural Commodities using Image Pro...

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2022 International Seminar on Application for Technology of Information and Communication, iSemantic 2022

作者： Suprijono, Herwin Kartikadarma, Etika Yusianto, Rindra Marimin, Marimin Dian Nuswantoro University Faculty of Engineering Department of Electrical Engineering Semarang53192 Indonesia Dian Nuswantoro University Study Program of Information Technology Faculty of Computer Science Semarang53192 Indonesia Dian Nuswantoro University Faculty of Engineering Department of Industrial Engineering Semarang53192 Indonesia Faculty of Agricultural Engineering and Technology Department of Agro-Industrial Technology West Java Bogor16002 Indonesia

ISBN: (数字)9781665488396

ISBN: (纸本)9781665488396

Production losses of agricultural commodities on agricultural land due to product defects depend on the level of pest and disease attacks. Defects cause the product not to be harvested or rejected by the market. Data from the Ministry of Agriculture of the Republic of Indonesia in 2021 shows the percentage of defective products for this commodity is 5%. This study aims to detect defects in agricultural products using image processing and artificial neural networks. We used the screening threshold method with potato research samples from Dieng, Indonesia. The study results for spot defects showed that from 100 training data, there were five incorrect identification data, so the accuracy of the training process was 95%. At the same time, the hole defect accuracy is better, which is 97%. It shows that defects in agricultural commodities can be detected using this method. For further research, the development of agricultural product sorting can combine sorting techniques with this method. © 2022 IEEE.

关键词： Defects

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Important Ways in Designing Vocational Secondary School Teacher Development education and Training 3

Important Ways in Designing Vocational Secondary School Teac...

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3rd International Conference on electrical, Electronics, Informatics, and Vocational education, ICE-ELINVO 2020

作者： Kholis, N. Supriyadi, E. Mardapi, D. Electrical Engineering Education Department Faculty of Engineering Yogyakarta State University Yogyakarta Indonesia Educational Research and Evaluation Study Program Graduate School Yogyakarta State University Yogyakarta Indonesia

A mid-level labor preparation having the qualification and competency appropriate with working world needs is a task from vocational secondary school (VSS). Now days, VSS become an attention by wide community, as a result of the existence of government policy which is trying to empowering vocational secondary education. The policy taken is by performing the revitalization of vocational school which has the aim to improve the quality of labor competitiveness. One of the programs is teacher quality improvement through various teacher training. However, relating to this case, it is suspected that the previous vocational school teacher training is less effective, so that it needs to be conducted the analysis about the teacher training implementation. Therefore, this article will be elaborated the ways needed to be conducted in improving the educational quality and vocational school teacher development training. The ways should be considered when it is planned and implemented the effective training program, such as: determining the needs, setting the goal, determining the content of learning, selecting the participants, determining the best schedule, selecting the appropriate facilities, selecting the proper instructor, selecting and preparing the audiovisual equipment, coordinating the program and evaluating the program. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Personnel training

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Nanocellulose Obtained from Biomass as Advance Adsorbent for Methylene Blue and Crystal Violet 5

Nanocellulose Obtained from Biomass as Advance Adsorbent for...

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5th International Conference on Advanced Material for Better Future 2020, ICAMBF 2020

作者： Mahardiani, L. Ilfama, R. Saputro, S. Pranolo, S.H. Septianing, P.W. Chemistry Education Study Program Faculty of Teacher Training and Education Sebelas Maret University Surakarta Indonesia Department of Chemical Engineering Faculty of Engineering Sebelas Maret University Surakarta Indonesia

In this research, the ability of papaya tree trunks as nanocellulose adsorbent for dyes removal was conducted. The synthesis of nanocellulose is carried out in several steps, including isolation of cellulose using the extraction method, immersion with a variety of alkaline bases, namely KOH, KOH+NH3, and KOH+Na2CO3 and synthesis of nanocellulose by hydrolysis reaction. The adsorption process was carried out in batch method, by contacting the nanocellulose adsorbent with the dye, then filtered and observed the change in concentration using UV-Vis. Meanwhile, to observe the functional groups contained in the nanocellulose obtained from synthesis of papaya tree stems FTIR result was evaluated. The results showed that all cellulose-forming groups (CO, CH2, CH) were present in synthesis nanocellulose in accordance with those of the commercial. The synthesis results with variations in the alkaline base which the closest to commercial yield was the variation with the alkaline KOH base. In addition, determination of adsorption performance of ones is compared with performance of commercial nanocellulose. © Published under licence by IOP Publishing Ltd.

关键词： Aromatic compounds

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Ensemble Deep Learning NARX for Estimating Time Series of Earthquake Occurrence

Ensemble Deep Learning NARX for Estimating Time Series of Ea...

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Robotics, Automation and Artificial Intelligence (RAAI), IEEE International Conference on

作者： Hapsoro Agung Nugroho Eka Yuni Astuty Aries Subiantoro Benyamin Kusumoputro Department of Electrical Engineering Research Center for Artificial Intelligence and Data Engineering Faculty of Engineering University of Indonesia Depok Indonesia Information Systems Study Program Faculty of Engineering Darma Persada University Jakarta Indonesia

ISBN: (数字)9798350307566

ISBN: (纸本)9798350307573

Predicting earthquake occurrences in time series data remains a challenging task in seismology. NARX (Nonlinear Autoregressive with eXogenous input) neural networks have recently shown promise for accurate predictions. While previous research has demonstrated NARX's effectiveness in estimating earthquake frequencies, the architecture still relies on several pre-determined parameters. These parameters include the number of hidden layers, number of neurons, and delay time. This study aims to investigate the effectiveness of Ensemble Deep Learning NARX neural networks in predicting time series of earthquakes. The proposed ensemble model integrates multiple NARX neural networks, each trained on a distinct subset of earthquake data. This approach aims to enhance prediction accuracy and bolster model robustness. The dataset consists of time series records detailing earthquake occurrence frequencies and magnitudes. The results show performance evaluation metrics in terms of Mean Square Error (MSE) values. For training frequency data, the MSE is 4.10e-26, and for testing, it is 6.05e-22. Regarding training magnitude data, the MSE is 2.86e-21 for training and 3.17e-19 for testing. This study makes a valuable contribution to the advancement of earthquake prediction techniques, underscoring the potential of Ensemble Deep Learning NARX neural networks for precise time series estimation in seismology.

关键词： Deep learning Training Time series analysis Earthquakes Seismology Estimation Predictive models

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Performance Analysis of YOLO-DeepSORT on Thermal Video-Based Online Multi-Object Tracking

Performance Analysis of YOLO-DeepSORT on Thermal Video-Based...

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Robotics, Automation and Artificial Intelligence (RAAI), IEEE International Conference on

作者： Nur Ibrahim Arsyad Ramadhan Darlis Herianto Benyamin Kusumoputro Department of Electrical Engineering Research Center for Artificial Intelligence and Data Engineering Faculty of Engineering University of Indonesia Depok Indonesia Information Systems Study Program Faculty of Engineering Darma Persada University Jakarta Indonesia

ISBN: (数字)9798350307566

ISBN: (纸本)9798350307573

Recently, thermal cameras have been used in various fields, including surveillance systems and advanced driver assistance systems (ADAS), as they perform better in low light than visible-light cameras. Some challenges in the surveillance system or ADAS field related to thermal cameras are occlusion and thermal crossover between objects with similar appearances during object detection or object tracking tasks, which can lead to misdetection, false positives, and lost tracking. In this paper, performance analysis of you-only-look-once (YOLO) combined with deep online real-time tracking (DeepSORT) on thermal video-based online multi-object tracking (MOT) in occlusion and thermal crossover scene is presented. YOLO, as one of state-of-the-art method for detection task, is used for detection system. Then, the detected object from YOLO is tracked using DeepSORT. The results demonstrate that the online MOT of sequential thermal images using YOLO-DeepSORT achieved a MOTA score of 44.2% and IDF1 of 45.3%. Thus, negative example was added in YOLO training process to reduce false detection, and it gives improvement with MOTA score of 63.8% and IDF1 score of 54.6%.

关键词： YOLO Training Surveillance Cameras Real-time systems Thermal analysis Performance analysis

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LoRa Network Design for Monitoring Landslides on 150 KV Delivery Tower

LoRa Network Design for Monitoring Landslides on 150 KV Deli...

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International Conference on Smart Computing & Communications (ICSCC)

作者： I Wayan Dikse Pancane I Putu Gelgel Astika Putra I Wayan Gede Suarjana Agus Supranartha Electrical Engineering Study Program Universitas Pendidikan Nasional Denpasar Indonesia Department of Public Health Faculty of Sport Science and Public Health Universitas Negeri Manado Sulawesi Indonesia Electro Enginering Elektrical Engineering Program Study Politechnic Negeri Bali Badung Indonesia

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

The objective of this research is to design and develop an integrated landslide early detection system at Tower Number Eight, 150 kV Gianyar. The research is expected to result in the construction of a communication system based on LoRa technology that will serve to reduce the potential damage from landslides. In order to achieve this, several parameters must be considered as benchmarks. These include RSSI, SNR, BER and PDR. The device operates by monitoring changes in position, soil moisture and rainfall, and then transmitting the data via LoRa technology. At the sink, the data is recorded and monitored for RSSI, SNR, PDR and BER values. In the test, the source 1 node, situated 300 metres away, exhibited an RSSI value of −100 to −109 dBm and an SNR value of 6.75 to −6.7 in both sunny and rainy weather, with a PDR value of 100%. The source 2 node, situated 600 metres away, exhibited an RSSI value of −97 to −109 dBm and an SNR value of 8.5 to −11.75 dB, with a PDR value of 70 to 100%. It should be noted that the number of bits in the sensor data sent is always complete. This is evidenced by the bit error ratio (BER) value, which is always 0 on both source nodes.

关键词： Rain Electricity Poles and towers Soil moisture LoRa Terrain factors Reliability Monitoring Signal to noise ratio Meteorology

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A Dynamic Model for Pauses in the Synthesized Speech of Mathematical Expressions in MathML 22

A Dynamic Model for Pauses in the Synthesized Speech of Math...

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Proceedings of the 14th International Conference on education Technology and Computers

作者： Adriana Souza Diamantino Freitas Bahia Federal Institute of Education Science and Technology Brazil and Doctoral Program in Digital Media Faculty of Engineering Faculty of Engineering of University of Porto Portugal Department of Electrical and Computer Engineering Faculty of Engineering of University of Porto Portugal

ISBN: (纸本)9781450397766

Voice synthesizers still present several challenges in the speech of mathematical content, as spoken mathematics has quite peculiar rules. In the synthesized speech, pauses help blind and visually impaired students identify the limits of mathematical operators and subexpressions. However, most studies on pauses define them uniformly or use simple punctuation marks to force the synthesizer to introduce pauses in certain parts of the expression. Speech is a dynamic process and pauses in expressions also need to be dynamic to make the synthetic speech of expressions more natural, as this can help in memorizing this type of content. This work proposed a dynamic model of pauses for mathematical expressions. Collected math expressions spoken by teachers were used to create the model. These expressions were useful for identifying patterns and creating a linear regression model. Blind and visually impaired students evaluated the model. Some improvements were observed when we compared the synthesized mathematical expressions with the model and Audiomath, the parameter tool used in this study.

关键词： Accessibility Synthesized Speech Mathematics Visual Impairment

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Malaysian Sign Language Translator for Mobile Application 11th

Malaysian Sign Language Translator for Mobile Application

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11th International Conference on Robotics, Vision, Signal Processing and Power Applications, RoViSP 2021

作者： Ke, Soong Cheng Mahamad, Abd. Kadir Saon, Sharifah Fadlilah, Umi Handaga, Bana Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Johor Batu Pahat Parit Raja86400 Malaysia Informatics Study Program Faculty of Communication and Informatics Universitas Muhammadiyah Surakarta Surakarta Indonesia

ISBN: (纸本)9789811681288

The society often faces a communication barrier with the deaf and mute community due to the lack of sign language translators. Hand gestures are used as a sign language to communicate between the ordinary people and the deaf people. However, the existing way to learn sign language is ineffective and inconvenient. The number of mobile translator applications for the Malaysian Sign Language on the market is less. The proposed system contains a sign detector mechanism using Support Vector Machine (SVM) to detect and interpret Malaysian Sign Language. The software used in this project were IntelliJ IDEA and Android Studio. This project's development consists of four main phases: dataset acquisition, dataset trainer, shape classification, and sign recognition. Each character is tested ten times to measure the performance of the developed system. The application is performed using an Android smartphone and successfully tested with character A to Z in a normal light condition with a maximum distance of 0.7 m. The successfully testing rate of this developed system is 90%. This application allows people to easily communicate with the deaf community because it is user-friendly and does not require an internet connection. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Support vector machines

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