Maimun Syukri
@unsyiah.ac.id
Internal Medicine, School Medicine
Universitas Syiah Kuala
RESEARCH INTERESTS
Internal Medicine/Nephrology
Scopus Publications
Scopus Publications
Muhammad Ridwan, Herlina Dimiati, Maimun Syukri, and Ronny Lesmana
Springer Science and Business Media LLC
Abstract Background Diabetes mellitus (DM) is among the most common risk factors for cardiovascular disease in the world with prevalence of more than 500 million population in 2021. Cardiac fibrosis with its complex process has been hypothesized as one of the mechanisms explaining development of heart failure in diabetic patients. Recently, the biomolecular mechanism of cardiac fibrosis in the hyperglycemia setting has been focusing around transforming growth factor β-1 (TGFβ-1) as a major factor. However, there is interplay role of several factors including microRNAs (miRNAs) which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1. In this review, we explored interplay role of several factors including microRNAs which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1 in diabetes mellitus. This narrative review included articles from the PubMed and Science Direct databases published in the last 10 years (2012–2022). Main text In diabetic patients, excessive activation of myofibroblasts occurs and triggers pro-collagen to convert into mature collagen to fill the cardiac interstitial space resulting in a pathological process of extracellular matrix remodeling. The balance between matrix metalloproteinase (MMP) and its inhibitor (tissue inhibitor of metalloproteinase, TIMP) is crucial in degradation of the extracellular matrix. Diabetes-related cardiac fibrosis is modulated by increasing level of TGF-β1 mediated by cellular components, including cardiomyocyte and non-cardiomyocyte cells involving fibroblasts, vascular pericytes smooth muscle cells, endothelial cells, mast cells, macrophages, and dendritic cells. Several miRNAs such as miR-21, miR-9, miR-29, miR-30d, miR-144, miR-34a, miR-150, miR-320, and miR-378 are upregulated in diabetic cardiomyopathy. TGF-β1, together with inflammatory cytokines, oxidative stress, combined sma and the mothers against decapentaplegic (smad) protein, mitogen-activated protein kinase (MAPK), and microRNAs, is interconnectedly involved in extracellular matrix production and fibrotic response. In this review, we explored interplay role of several factors including microRNAs which acts as a potential regulator of cardiac fibrosis connected with TGFβ-1 in diabetes mellitus. Conclusions Long-term hyperglycemia activates cardiac fibroblast via complex processes involving TGF-β1, miRNA, inflammatory chemokines, oxidative stress, smad, or MAPK pathways. There is increasing evidence of miRNA’s roles lately in modulating cardiac fibrosis.
Ichsan Setiawan, Yudi Haditiar, Muhammad Syukri, Nazli Ismail, and Syamsul Rizal
Elsevier BV
Muhammad Syukri
SAGE Publications
This article shows how the Indonesian new developmental state addresses gender equality and women's empowerment in its effort to institutionalise a participatory approach in the state bureaucracy. It pays attention to the way the new developmental ideology has shaped participatory governance policy as an instrument of village development instead of deepening democracy and reworking the structure of traditional gender relations. Utilising qualitative data and a longitudinal monitoring study, this article argues that the new policy of participatory village governance has a narrow focus on village economy and infrastructure and ignores more sensitive issues, such as transforming the traditional gender structures.
Madan Khatiwada, Ryan Rachmad Nugraha, Harapan Harapan, Carine Dochez, Kuswandewi Mutyara, Laili Rahayuwati, Maimun Syukri, Eustachius Hagni Wardoyo, Dewi Suryani, Bertha J. Que,et al.
MDPI AG
The coronavirus disease 2019 (COVID-19) pandemic imposed a pressing global threat. Vaccines against COVID-19 are a key tool to control the ongoing pandemic. The success of COVID-19 vaccination programs will largely depend on public willingness to receive the vaccine. This study aimed to evaluate the acceptability of COVID-19 vaccines among university students and lecturers in four different provinces of Indonesia. An anonymous, cross-sectional study was conducted online among university students and lecturers in Indonesia between 23 December 2020 and 15 February 2021. Of 3433 respondents, 50.3% stated that they would accept COVID-19 vaccination, while 10.7% expressed unwillingness and 39% were not sure about receiving the vaccine. Concern regarding the side effects after COVID-19 vaccination was the main reason among the participants for not willing to receive the vaccine. Being male, associated with the health sector, having a higher monthly expenditure and having health insurance could increase the acceptability of the COVID-19 vaccine. Low trust in the government and low confidence towards vaccine safety and efficacy could hinder participants’ decision to be vaccinated. Simple, clear and fact-based information from trusted sources on a regular basis will be important for building confidence towards the COVID-19 vaccination program in Indonesia.
Yusran Asnawi, Umar Muksin, Yuni Putri Tarniati, Andrean V. H. Simanjuntak, Syamsul Rizal, and Muhammad Syukri
AIP Publishing
Muhammad Syukri, Zul Fadhli, Amsir, Sabrian Tri Anda, and Rini Safitri
AIP Publishing
Hamdani Hamdani, Fajar Salamul Sabri, Harapan Harapan, Maimun Syukri, Razali Razali, Rudi Kurniawan, Irwansyah Irwansyah, Sarwo Edhy Sofyan, Teuku Meurah Indra Mahlia, and Samsul Rizal
MDPI AG
The controlled environment room, called an isolation room, has become a must have for medical facilities, due to the spreading of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), to isolate the high risk infected patients. To avoid the transmission of the virus through airborne routes, guidelines were published by the government and the association. A medical facility must comply with this document for high-risk patient treatment. A full-scale N class isolation room was built at Syiah Kuala University to investigate the performance in terms of the controller, temperature, pressure, humidity, and energy consumption. The isolation room was equipped with a proper capacity heating, ventilating, and air conditioning (HVAC) system, which consisted of an air conditioning compressor and a negative pressure generator (NPG), and its installation was ensured to fulfil the guidelines. Since the current NPG was controlled manually, a computer-based control system was designed, implemented, and compared with the manual control. The results showed that the computer-based control outputs better stability of pressure and electric power. For that reason, a computer-based control was chosen in the real case. To investigate the performance of the isolation room, a 24 h experiment was carried out under different parameter setups. The results showed that improvement of the control strategy for temperature and humidity is still necessary. The energy consumption during the activation of the NPG for the recommended negative pressure was slightly different. An additional piece of equipment to absorb the heat from the exhaust air would be promising to improve the energy efficiency.
Yusran Asnawi
International Journal of Geomate
: The NW–SE-striking Seulimeum fault in northernmost Sumatra has triggered several major earthquakes in the last decades and can thus harm the surrounding community. The microtremor HVSR method was implemented in the Lamteuba area, which is proximate to the Seulimeum fault, to analyze the possible seismic impact of numerous shallow-depth earthquakes. HVSR values were calculated for 21 sampling points. Results show that the dominant frequency is between 1 and 4 Hz, and the dominant period is 0–0.5 s; these are associated with young volcanic sediment. The areas with the highest amplification are located in the central and southern parts of the study area, with a vulnerability value (K g ) greater than 1. The K g value of the northern part is under 1 because of its proximity to a Tertiary volcanic rock formation. About 40% of the study area is vulnerable to earthquakes, as suggested by the high susceptibility index, which is associated with soft sediment. These results are supported by the perception of the local community, which serves as a framework for acculturating the mitigation. The public perception responses show a lack of the knowledge and infrastructure needed to mitigate disasters in the area. This study also reveals a lack of actions to be taken before, during, and after a disaster. This work successfully combines seismic analysis with public perception to determine the earthquake risk level and develop a mitigation plan for the study area.
Khairul Munadi, Khairun Saddami, Maulisa Oktiana, Roslidar Roslidar, Kahlil Muchtar, Melinda Melinda, Rusdha Muharar, Maimun Syukri, Taufik Fuadi Abidin, and Fitri Arnia
MDPI AG
Diabetes mellitus (DM) is one of the major diseases that cause death worldwide and lead to complications of diabetic foot ulcers (DFU). Improper and late handling of a diabetic foot patient can result in an amputation of the patient’s foot. Early detection of DFU symptoms can be observed using thermal imaging with a computer-assisted classifier. Previous study of DFU detection using thermal image only achieved 97% of accuracy, and it has to be improved. This article proposes a novel framework for DFU classification based on thermal imaging using deep neural networks and decision fusion. Here, decision fusion combines the classification result from a parallel classifier. We used the convolutional neural network (CNN) model of ShuffleNet and MobileNetV2 as the baseline classifier. In developing the classifier model, firstly, the MobileNetV2 and ShuffleNet were trained using plantar thermogram datasets. Then, the classification results of those two models were fused using a novel decision fusion method to increase the accuracy rate. The proposed framework achieved 100% accuracy in classifying the DFU thermal images in binary classes of positive and negative cases. The accuracy of the proposed Decision Fusion (DF) was increased by about 3.4% from baseline ShuffleNet and MobileNetV2. Overall, the proposed framework outperformed in classifying the images compared with the state-of-the-art deep learning and the traditional machine-learning-based classifier.
Muhammad Syukri
International Journal of Geomate
Tsunami is a catastrophic event that affects coastlines on a large scale with heavy casualties. Recent tsunami deposits and processes are studied for a better understanding of the disastrous event to enhance hazard assessment of tsunami-prone coastal areas. This research paper explores the 2004 tsunami deposits at Meulaboh (Aceh) to identify the thickness of postand pre-tsunami deposits to improve risk assessment. The study consists of 4 Ground Penetrating Radar (GPR) survey lines near the Meulaboh shore. Two pit holes were dug along the survey lines and the deposition sequences were recorded. Records of the pit holes show good correlations with the intensity changes of EM waves from the GPR profiles and provide a clear insight into the subsurface tsunami deposit sequences at Meulaboh coastal area. The GPR results show that the 2004 pretsunami sediment deposits can be identified with a thickness of 0.3-1.5 m, while post-tsunami 2004 sediment deposits were also identified with a thickness of 0.1-1.2 m. Both sediment deposits known as alluvium were caused by natural coastal processes and erosion with an estimated depositional rate of 0.007-0.09 m/year. The thickness of the 2004 tsunami sediment deposits was identified as 0.2-3 m. This study revealed that the thickness of all the sediment deposits is thicker when approaching the shore, and GPR is a very efficient technique in investigating shallow subsurface with high data resolution to distinguish different deposits with high accuracy.
S. Rahman, M. Ramli, F. Arnia, R. Muharar, M. Ikhwan and S. Munzir
BACKGROUND AND OBJECTIVES: The increase in the number of vehicles has several negative impacts, including traffic congestion, air pollution, noise levels, and the availability of parking spaces. Drivers looking for parking spaces can cause traffic jams and air pollution. The solution offered at this time is the development of a smart parking system to overcome these problems. The smart parking system offers a parking availability information feature in a parking area to break up congestion in the parking space. Deep learning is a successful method to solve parking space classification problems. It is known that this method requires a large computational process. Th aims of this study are to modified the architecture of Convolutional Neural Networks, part of deep learning to classify parking spaces. Modification of the Convolutional Neural Networks architecture is assumed to increase the work efficiency of the smart parking system in processing parking availability information.METHODS: Research is focusing on developing parking space classification techniques using camera sensors due to the rapid advancement of technology and algorithms in computer vision. The input image has 3x3 dimensions. The first convolution layer accepts the input image and converts it into 56x56 dimensions. The second convolution layer is composed in the same way as the first layer with dimensions of 25x25. The third convolution layer employs a 3 x 3 filter matrix with padding of up to 15 and converts it into 10x10 dimensions. The fourth layer is composed in the same way as the third layer, but with the addition of maximum pooling. The software used in the test is Python with a Python framework.FINDINGS: The proposed architecture is the Efficient Parking Network or EfficientParkingNet. It can be shown that this architecture is more efficient in classifying parking spaces compared to some other architectures, such as the mini–Alex Network (mAlexnet) and the Grassmannian Deep Stacking Network with Illumination Correction (GDSN-IC). EfficientParkingNet has not been able to pass the accuracy of Yolo Mobile Network (Yolo+MobileNet). Furthermore, Yolo+MobileNet has so many parameters that it cannot be used on low computing devices. Selection of EfficientParkingNet as a lightweight architecture tailored to the needs of use. EfficientParkingNet's lightweight computing architecture can increase the speed of information on parking availability to users.CONCLUSION: EfficientParkingNet is more efficient in determining the availability of parking spaces compared to mAlexnet, but still cannot match Yolo+MobileNet. Based on the number of parameters, EfficientParkingNet uses half of the number of parameters of mAlexnet and is much smaller than Yolo+MobileNet. EfficientParkingNet has an accuracy rate of 98.44% for the National Research Council parking dataset and higher than other architectures. EfficientParkingNet is suitable for use in parking systems with low computing devices such as the Raspberry Pi because of the small number of parameters.
Jufitriani Ismy, Maimun Syukri, Dessy R. Emril, Nanan Sekarwana, and Jufriady Ismy
Ital Publication
Sepsis-associated overproduction of reactive oxygen species (ROS) and nitric oxide (NO) during pathogen infection leads to overwhelming oxidative stress, which has been recognized as a primary contributor to acute kidney injury (AKI). Hence, antioxidant therapy has been widely explored in order to find an effective treatment for sepsis-related AKI, in particular by using endogenous antioxidant – superoxide dismutase (SOD). We assessed the effect of oral SOD on the alteration of AKI biomarkers (creatinine and Neutrophil Gelatinase-Associated Lipocalin – NGAL) in endotoxin-induced septic murine. The animals were assigned as a healthy control, a septic control, and three treatment groups (250, 500, and 1000 IU oral SOD). Treatment of SOD was carried out by force-feeding for 16 weeks prior to intraperitoneal injection of lipopolysaccharide (LPS). The sepsis was assessed using the murine sepsis score (MSS) after 12 hours post-LPS injection, where the changes in plasma SOD, ROS, NO, creatinine, and NGAL were measured by enzyme-linked immunosorbent assay (ELISA). During sepsis, SOD was significantly decreased from its baseline level while other biomarkers were significantly increased (p<0.05) – except for NGAL. MSS exhibited a declining trend in SOD dosage-dependent manner, and was significantly different with that of septic control group at SOD dosage of 1000 IU (p<0.05). SOD treatment with a dosage as low as 250 IU could prevent the abnormal expression of the tested biomarkers during sepsis. There were significant reduction of plasma ROS, NO, creatine and NGAL in rats treated with 1000 IU SOD. Our study suggests the protective effect of SOD against sepsis-induced AKI by scavenging ROS and NO. Doi: 10.28991/ESJ-2022-06-02-06 Full Text: PDF
Harapan Harapan, Hibban Ar Royan, Islam Ing Tyas, Auda Nadira, Irham Faraby Abdi, Samsul Anwar, Milda Husnah, Ichsan Ichsan, Agung Pranata, Mudatsir Mudatsir,et al.
F1000 Research Ltd
Background: The decrease of immunity acquired from COVID-19 vaccines is a potential cause of breakthrough infection. Understanding the dynamics of immune responses of vaccine-induced antibodies post-vaccination is important. This study aimed to measure the level of anti-SARS-CoV-2 receptor-binding domain (RBD) total antibody in individuals at different time points upon the receipt of the second dose of CoronaVac vaccine, as well as evaluate the plausible associated factors. Methods: A cross-sectional study was conducted among CoronaVac-vaccinated residents in Banda Aceh, Indonesia. The level of anti-SARS-CoV-2 RBD total antibody was measured using Elecsys immunoassay. A set of standardized and validated questionnaires were used to assess the demographics and other associated factors. Results: Our results showed waning anti-SARS-CoV-2 RBD total antibody titres over time post-vaccination. Compared to samples of the first month post-vaccination, the antibody titres were significantly lower than those of five-months (mean 184.6 vs. 101.8 U/mL, p = 0.009) and six-months post-vaccination (mean 184.6 vs. 95.59 U/mL, p = 0.001). This suggests that the length of time post-vaccination was negatively correlated with titre of antibody. A protective level of antibody titres (threshold of 15 U/mL) was observed from all the samples vaccinated within one to three months; however, only 73.7% and 78.9% of the sera from five- and six-months possessed the protective titres, respectively. The titre of antibody was found significantly higher in sera of individuals having a regular healthy meal intake compared to those who did not (mean 136.7 vs. 110.4 U/mL, p = 0.044), including in subgroup analysis that included those five to six months post-vaccination only (mean 79.0 vs. 134.5 U/mL, p = 0.009). Conclusions: This study provides insights on the efficacy of CoronaVac vaccine in protecting individuals against SARS-CoV-2 infection over time, which may contribute to future vaccination policy management to improve and prolong protective strategy.
Harapan Harapan, Edison Johar, Chairin Nisa Maroef, Ida Yus Sriyani, Muhammad Iqhrammullah, Hendrix Indra Kusuma, Maimun Syukri, Razali Razali, Hamdani Hamdani, Rudi Kurniawan,et al.
F1000 Research Ltd
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a worldwide disruption of global health putting healthcare workers at high risk. To reduce the transmission of SARS-CoV-2, in particular during treating the patients, our team aims to develop an optimized isolation chamber. The present study was conducted to evaluate the role of temperature elevation against SARS-CoV-2 viability, where the information would be used to build the isolation chamber. 0.6 mL of the Indonesian isolate of SARS-CoV-2 strain 20201012747 (approximately 1013 PFU/mL) was incubated for one hour with a variation of temperatures: 25, 30, 35, 40, 45, 50, 55, 60, and 65°C in digital block heater as well as at room temperature (21-23°C) before used to infect Vero E6 cells. The viability was determined using a plaque assay. Our data found a significant reduction of the viral viability from 1013 PFU/mL to 109 PFU/mL after the room temperature was increase to 40°C. Further elevation revealed that 55°C and above resulted in the total elimination of the viral viability. Increasing the temperature 40°C to reduce the SARS-CoV-2 survival could create mild hyperthermia conditions in a patient which could act as a thermotherapy. In addition, according to our findings, thermal sterilization of the vacant isolation chamber could be conducted by increasing the temperature to 55°C. In conclusion, elevating the temperature of the isolation chamber could be one of the main variables for developing an optimized isolation chamber for COVID-19 patients.
Harapan Harapan, Hibban Ar Royan, Islam Ing Tyas, Auda Nadira, Irham Faraby Abdi, Samsul Anwar, Milda Husnah, Ichsan Ichsan, Agung Pranata, Mudatsir Mudatsir,et al.
F1000 Research Ltd
Background: The decrease of immunity acquired from COVID-19 vaccines is a potential cause of breakthrough infection. Understanding the dynamics of immune responses of vaccine-induced antibodies post-vaccination is important. This study aimed to measure the level of neutralizing antibody (NAb) anti-SRBD in individuals at different time points upon the receipt of the second dose of CoronaVac vaccine, as well as evaluate the plausible associated factors. Methods: A cross-sectional study was conducted among CoronaVac-vaccinated residents in Banda Aceh, Indonesia. The level of NAb titre was measured using Elecsys Anti-SARS-CoV-2 S immunoassay. A set of standardized and validated questionnaires were used to assess the demographics and other plausible associated factors. Results: Our results showed waning SARS-Cov-2 NAb titres over time post-vaccination. Compared to samples of the first month post-vaccination, the levels of NAb titres were significantly lower than those of five-months (mean 184.6 vs. 101.8 IU/mL, p = 0.009) and six-months post-vaccination (mean 184.6 vs. 95.59 IU/mL, p = 0.001). This suggests that the length of time post-vaccination was negatively correlated with antibody anti-SRBD titre. A protective level of NAbs titres (threshold of 15 IU/mL) was observed from all the samples vaccinated within one to three months; however, only 73.7% and 78.9% of the sera from five- and six-months possessed the protective titres against SARS-CoV-2, respectively. The titre of NAb anti-SRBD was found significantly higher in sera of individuals having a regular healthy meal intake compared to those who did not (mean 136.7 vs. 110.4 IU/mL, p = 0.044), including in subgroup analysis that included those five to six months post-vaccination only (mean 79.0 vs. 134.5 IU/mL, p = 0.009). Conclusions: This study provides insights on the efficacy of CoronaVac vaccine in protecting individuals against SARS-CoV-2 infection over time, which may contribute to future vaccination policy management to improve and prolong protective strategy.
Suriadi, Katrin Nada, Ramdhan Halid S, Mahdi Syukri, Marwan, Muhammad Yanis, Muzailin Affan, and Nazaruddin
IEEE
This study explains the simulation design and working principle of unipolar inverters on grid using the current control method using PSIM software. The inverter circuit used is a full bridge inverter circuit using a current control method. The series of filters used is a low pass (LC) filter using an L value of 4.06 mH and a C value of $6.23 \\mu\\mathrm{F}$. The control circuit used is an SPWM (Sinusoidal Pulse Width Modulation) circuit. The power supplied by the inverter to the grid is affected by the magnitude of the angle, voltage, and the same frequency. The power supplied by the inverter to the grid based on the reference of the control system will run if the angle phase between the inverter and the grid is the same. The grid will accommodate the excess power generated by the inverter and will also supply power if the inverter is under-powered from the solar power plant source. This study also aims to regulate the power required at the load, hence the power supplied to the optimal load, with the main supply coming from the inverter and the lack of power supply can be seconded by the grid from PT. PLN (State Electricity Company). This is shown when the reference current is set at 4 A, the current required load is 5.65 A, where the inverter supplies current to the load by 3.44 A, and the lack in supply from the grid is 2.207 A. The frequency value on the system is constant at 50Hz. The current control method aims to make the current supplied to the load obtained by setting the priority scale of the current supply, where the inverter current is the main current source and the grid as the secondary supply.
Mahdi Syukri, Ahmad Syuhada, Tarmizi, Suriadi, Satika Ramadhani, Marwan, Muzailin Affan, and Muhammad Yanis
IEEE
Induction motors can be operated as induction generators when additional capacitors are added to the stator terminals. Capacitors connected to induction generators can generate voltage and can provide reactive power. The advantage of induction generators can be used in small-scale plants such as micro-hydro power plants. However, the weakness of induction generators are weak voltage regulation and dependence on capacitors to generate voltage. This study conducted a test to see how the effect of capacitor capacity on the voltage generated by a induction generator when serving multiple incandescent lamp loads. The capacitor used is connected with a wye connection because the Wye connection can generate a higher voltage than the Delta connection circuit. This research has been successfully carried out with variations in capacitor values, namely 45 F, 60 F, and 75 F and variations in lamp load values, namely 5W, 15W, 25W, 40W and 60W. Based on the results of the study, the induction generators uses a 45 F capacitor with a load of 5 W, the terminal voltage for line to line is 374 V. However, when using a 75 F capacitor with a 60W load, the terminal voltage for line to line is 239 V. The terminals voltage of the induction generators can also be kept at a constant 380 V by providing varying capacitor values even though it serves varying loads.
Lia Meuthia Zaini, Arief S Kartasasmita, Tjahjono D Gondhowiardjo, Maimun Syukri, and Ronny Lesmana
Informa UK Limited
ABSTRACT Introduction Sodium glucose co-transporter 2 (SGLT2) inhibitors are a new class of drugs for the treatment of type 2 diabetes mellitus (T2DM), which have cardio-renal protective activity. Some studies have also found that this drug may have an eye-protective effect, especially in preventing diabetic retinopathy (DR). Areas covered A search was conducted on PubMed and Google Scholar for all articles published from January 2007 to May 2022. This paper provides a new insight into how new emerging diabetic therapy may be beneficial in the case of DR. SGLT2 inhibitors have been proven to delay DR progression. However, the drug mechanism in the pathophysiology of diabetic retinopathy has not yet been established. Expert opinion In clinical practice, using SGLT2 inhibitors is beneficial as it offers multiple advantages. They can control blood sugar levels while simultaneously suppressing the progression of DR and DME. There is potential that the use of other expensive and prolonged therapeutic modalities may no longer be necessary, reducing the burden of treatment for patients.
Muhammad Syukri
Informa UK Limited
Novina Rahmawati, Maimun Syukri, Darmawi Darmawi, Indra Zachreini, Utari Zulfiani, Muhammad Yusuf, and Rinaldi Idroes
Hindawi Limited
This study aimed to study the inhibition activity of lactic acid bacteria probiotics deriving from Acehnese fermented Etawa goat’s milk (yogurt) against Streptococcus pyogenes bacterial infection in rats (Rattus norvegicus). Haematological analysis of the rats’ blood was performed on the following parameters: platelets, leukocytes, lymphocytes, neutrophils, and monocytes, where the data were further processed using ANOVA and Duncan’s test with a confidence level of 95% (0.05). The results revealed that administering yogurt containing probiotics could reduce infections in the throats of rats caused by S. pyogenes. Based on the haematology examination, the probiotic yogurt could maintain the number of platelets, leukocytes, lymphocytes, neutrophils, and monocytes. Statistical significance was obtained when the infected rats were administered with a ±1.00 mL/day dose for seven days of treatment ( p < 0.05 ).
Roslidar Roslidar, , Mohd Syaryadhi, Khairun Saddami, Biswajeet Pradhan, Fitri Arnia, Maimun Syukri, Khairul Munadi, , ,et al.
American Institute of Mathematical Sciences (AIMS)
<abstract><p>The presence of a well-trained, mobile CNN model with a high accuracy rate is imperative to build a mobile-based early breast cancer detector. In this study, we propose a mobile neural network model breast cancer mobile network (BreaCNet) and its implementation framework. BreaCNet consists of an effective segmentation algorithm for breast thermograms and a classifier based on the mobile CNN model. The segmentation algorithm employing edge detection and second-order polynomial curve fitting techniques can effectively capture the thermograms' region of interest (ROI), thereby facilitating efficient feature extraction. The classifier was developed based on ShuffleNet by adding one block consisting of a convolutional layer with 1028 filters. The modified Shufflenet demonstrated a good fit learning with 6.1 million parameters and 22 MB size. Simulation results showed that modified ShuffleNet alone resulted in a 72% accuracy rate, but the performance excelled to a 100% accuracy rate when integrated with the proposed segmentation algorithm. In terms of diagnostic accuracy of the normal and abnormal test, BreaCNet significantly improves the sensitivity rate from 43% to 100% and specificity of 100%. We confirmed that feeding only the ROI of the input dataset to the network can improve the classifier's performance. On the implementation aspect of BreaCNet, the on-device inference is recommended to ensure users' data privacy and handle an unreliable network connection.</p></abstract>
Michael Wei-Chih Liu, Maimun Syukri, Abdullah Abdullah, and Li-Yin Chien
MDPI AG
Indonesian universal health coverage was implemented in 2013 and hemodialysis services became universally accessible, yet few studies have examined patient adherence to hemodialysis schedules. We examined the rates of missed in-center hemodialysis sessions in Banda Aceh and the factors associated with non-attendance. This cross-sectional questionnaire survey included 193 patients receiving in-center hemodialysis. Approximately 28% of the patients missed ≥ 1 hemodialysis session in the month prior to the questionnaire’s administration. About 65% reported attending religious activities as the reason for missing hemodialysis. The level of health literacy was generally low with a mean score of 14.38 out of 26 (55.3%). Multivariate logistic regression analyses showed that patients with educational levels higher than elementary school were less likely to miss hemodialysis sessions. Participants who performed more self-care behaviors had lower odds of missing hemodialysis sessions. Every unit increase in the health literacy score was associated with increased odds of missing hemodialysis sessions. Emphasizing the importance of attending hemodialysis sessions and modifying hemodialysis schedules based on patients’ needs is essential. Patients who miss hemodialysis sessions should be reminded of all self-care behaviors. Health literacy among hemodialysis patients should be improved, with emphasis on patient safety, advanced knowledge, and critical health literacy.
Muhammad Syukri
Union of Iraqi Geologists (UIG)
Sumatra is one of the Indonesian regions categorized as active tectonics. The majority of past earthquakes in Sumatra and its surrounding areas have originated from the accumulated stress in the subduction zone, namely the submergence of the Indo-Australian plate against the Eurasian plate. This research was conducted to identify the level of accumulated stress and earthquake-prone areas in the subduction zone of Sumatra Island based on the spatial variation of the b-value, using the least square method. The data used in this study are earthquake parameter data from the International Seismological Center the United States Geological Survey and Meteorological, Climatological, and Geophysical Agency catalogs from 2005-2019 with a magnitude ≥ 1 and a depth of 0-200 km located 90° to 106°E and -6° to 5.8°S. The results showed that the spatial variation of the b-value in the subduction zone of Sumatra Island in 2005-2009 ranged from 0.31-0.77, the b-value for 2010-2014 ranged from 0.18-1.29. In 2015-2019, the spatial variation of b-values ranged from 0.28-1.2. Earthquake-prone areas are located around Breuh Island, Banyak Islands, and Sipura and Pagai Islands, as evidenced by a low b-value, correlating with a high level of unreleased accumulated stress from the past 15 years, leading to an immense earthquake potential in the next period within the area. This analysis shows very significantly found that high b-value matches with earthquake spots. Detailed spatial and temporal b-value characteristics and its interpretation can advance our comprehension of earthquake occurrence and ideally lead to improved forecasting agility.