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1. The effect of health education in improving the knowledge and attitudes of integrated service post cadres about early detection of high‑risk pregnancies in the working area of the Mamajang health center, Makassar city, Indonesia

Author

Ayu B. Fauziah, Apik I. Moedjiono, Masni Masni, Arifin Seweng, Sukri Sukri, and Healthy Hidayanty

Subjects
health education, video, booklet, early detection, high-risk pregnancy, Public aspects of medicine, RA1-1270
Abstract

Maternal mortality can be reduced by strengthening the process of early detection of high-risk pregnancies. However, the lack of knowledge related to high-risk pregnancy is still an obstacle. This study aims to analyze the effect of health education on the knowledge and attitudes of cadres about early detection of high-risk pregnancy in the working area of Health Centre Mamajang Makassar City. Experimental research with a pretest protest design with a control group, involving 80 cadres spread across 20 Integrated Service Posts who were divided into four treatment groups. There was an increase in mean knowledge between the intervention group (P=0.000) and the control group (P=0.002). There was also an increase in attitude between the intervention group (P=0.000). However, there was no improvement in attitude (P=0.475) in the control group. The intervention group through combined video+booklet had the highest mean knowledge score (6.65-13.90) than the groups that received intervention through video (6.60-12.69) or booklet alone (6.75-12.07), respectively. On attitude, the highest average attitude score in the intervention group was the combined video+booklet group (22.0-35.8), video (21.22-34.65) and booklet alone (22.25-34.55). While the average score of the control group on knowledge (6.00-6.95) and attitude (22.60-23.05). The role of health education by involving a combination of both video and booklet media is appropriate as an effort to influence Integrated Service Post cadres in increasing knowledge and attitudes about the early detection of high-risk pregnancies

Published
2023
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2. Fenofibrate for the prevention of progression of non-proliferative diabetic retinopathy: review, consensus recommendations and guidance for clinical practice

Author

Nor Fariza Ngah, Nor Asiah Muhamad, Roslin Azni Abdul Aziz, Shelina Oli Mohamed, Nor Azita Ahmad Tarmizi, Azian Adnan, Zalifah Zakiah Asnir, Zanariah Hussein, Hui Foo Siew, Masni Mohamed, Noor Aliza Lodz, and Vijayamala Valayatham

Subjects
diabetic retinopathy, fenofibrate, consensus recommendations, Ophthalmology, RE1-994
Abstract

The prevalence of diabetic retinopathy (DR), and associated morbidity is high in the Asia-Pacific region. Emerging evidence suggests a potential role for fenofibrate in the prevention of progression of DR, especially in patients with cardiovascular risk, and pre-existing mild-to-moderate DR. Fenofibrate has also been found to reduce maculopathy, and the need for laser treatment in these patients. Considering these benefits of fenofibrate, a group of experts from the fields of endocrinology and ophthalmology convened in May 2017, to discuss on the the mechanism of action, and clinical efficacy of fenofibrate in DR. The findings from key clinical studies on fenofibrate in DR were reviewed by the experts, and consensus statements were derived to define the role of fenofibrate in the prevention and treatment of DR. The statements were rated based on the GRADE criteria. An algorithm was also developed for the screening and treatment of DR in patients with type 2 diabetes (T2D), and the place of fenofibrate was defined in the algorithm. The expert recommendations, and the algorithm provided in this review will serve as a guide to the clinicians to reconsider the adjunctive use of fenofibrate for preventing the progression of DR in selected T2D patients.

Published
2022
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3. Prevalence of metabolic syndrome and metabolic dysfunction-associated fatty liver disease in Malaysia 2023: study protocol for a community-based nationwide cross-sectional survey

Author

Wah Kheong Chan, Noor Ani Ahmad, Muhammad Fadhli Mohd Yusoff, Kim Sui Wan, Halizah Mat Rifin, Kishwen Kanna Yoga Ratnam, Masni Mohamad, Nurain Mohd Noor, and Feisul Mustapha

Subjects
Medicine
Abstract

Introduction Metabolic syndrome (MetS) is a cluster of cardio-metabolic dysfunctions characterised by increased fasting plasma glucose, waist circumference, blood pressure, triglycerides and reduction in high-density lipoprotein cholesterol. Meanwhile, metabolic dysfunction-associated fatty liver disease (MAFLD) is the new term for fatty liver associated with MetS. People with MetS or MAFLD have higher risks for adverse cardiovascular outcomes and mortalities. However, large-scale data on MetS and MAFLD prevalence in Malaysia is mainly unknown. This study aims to determine the prevalence of MetS and MAFLD among the general adult population in Malaysia.Methods and analysis This is a community-based nationwide cross-sectional study in Malaysia. The data collection period is from July 2023 until September 2023, with a planned sample size of 1296 participants. We use a two-stage proportionate stratified random sampling method to ensure national representativeness. The definition of MetS follows the Harmonised Joint Interim Statement in 2009. A diagnosis of MAFLD is made if a participant has fatty liver, defined as having a Fatty Liver Index ≥60 and has type 2 diabetes, a body mass index ≥23 kg/m2, or ≥2 metabolic risk abnormalities. Complex sample analysis will be conducted, and the disease prevalence will be reported with 95% CIs, unweighted counts and estimated populations.Ethics and dissemination The protocol has been approved by the Medical Research and Ethics Committee of the Ministry of Health Malaysia (NMRR ID-22–02845-GUT). The findings will be disseminated through a formal report, policy brief, scientific publications, conference presentations, social media, print media and stakeholder engagement activities.

Published
2023
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4. CULTURAL CONTENT IN ENGLISH TEXTBOOK FOR DEAF STUDENTS AT DISABLE SENIOR HIGH SCHOOL

Author

Nor Fitriansyah, Masni Usman, and Surono Surono

Subjects
Language and Literature, Philology. Linguistics, P1-1091, Theory and practice of education, LB5-3640
Abstract

This study explores the cultural content represented in the English Textbook used by the deaf students at disable senior high school or SMALB (Tuna Rungu). This book was published by Kemendikbud of Indonesia in 2016. This study was categorized as Descriptive qualitative research. The method used in this study is textbook content analysis. To collect the data, the writers selected the text, pictures and activities presented in each unit of the textbooks. Meanwhile, to analyze the data, the writers adapted two different frameworks. The first framework was used to explore what cultures are represented in the textbook (types of culture). The second framework was used to explore how the cultures were represented in the textbook (sense of culture). There are 157 cultural contents found in the Tunarungu Bahasa Inggris SMALB Grade XI 2016 book. By Type of Culture, the 157 cultural contents were divided into 60 Source Culture, 94 Target Culture and 3 International culture. Meanwhile, in terms of Sense of Culture, the 157 cultural contents were divided into 5 Aesthetic Senses, 3 Sociological Senses, 59 Semantic Senses and 90 Pragmatic Senses.

Published
2021
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5. Deformation-Aware Segmentation Network Robust to Motion Artifacts for Brain Tissue Segmentation using Disentanglement Learning

Author

Jung, Sunyoung, Choi, Yoonseok, Al-masni, Mohammed A., Jung, Minyoung, and Kim, Dong-Hyun

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Motion artifacts caused by prolonged acquisition time are a significant challenge in Magnetic Resonance Imaging (MRI), hindering accurate tissue segmentation. These artifacts appear as blurred images that mimic tissue-like appearances, making segmentation difficult. This study proposes a novel deep learning framework that demonstrates superior performance in both motion correction and robust brain tissue segmentation in the presence of artifacts. The core concept lies in a complementary process: a disentanglement learning network progressively removes artifacts, leading to cleaner images and consequently, more accurate segmentation by a jointly trained motion estimation and segmentation network. This network generates three outputs: a motioncorrected image, a motion deformation map that identifies artifact-affected regions, and a brain tissue segmentation mask. This deformation serves as a guidance mechanism for the disentanglement process, aiding the model in recovering lost information or removing artificial structures introduced by the artifacts. Extensive in-vivo experiments on pediatric motion data demonstrate that our proposed framework outperforms state-of-the-art methods in segmenting motion-corrupted MRI scans., Comment: Medical Image Computing and Computer Assisted Intervention, MICCAI 2024

Published
2024
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6. Peran Mahasiswa dalam Proses Pembelajaran sebagai Bentuk Pengabdian Kepada Masyarakat di Kelurahan Labuhbaru Barat Kota Pekanbaru

Author

Nurmalia Sarah, Haullia Amanda Yuffi Pratiwi, Masni Fatimah, Ayu Alrahmi Putri, Asri Tria Hendrayani, Fira Esti Fauzi, Fayza Yasmine, Budi Susanto, Hendri Ramadhan, and Christabel Arya Tetuko

Subjects
KKN, Pengabdian, Pendidikan, TK, MDA, Social Sciences
Abstract

Kelurahan Labuhbaru Barat merupakan salah satu kelurahan yang ada di Kota Pekanbaru. Kelurahan ini menjadi salah satu tempat pelaksanaan Kuliah Kerja Nyata (KKN). Kuliah Kerja Nyata (KKN) merupakan salah satu mata kuliah yang ada di perguruan tinggi. KKN menjadi wujud nyata yang harus dilaksanakan oleh mahasiswa dalam bentuk pengabdian yang harus dilakukan oleh mahasiswa. Tujuan pelaksanaan KKN adalah untuk membantu kehidupan masyarakat dari segala aspek, termasuk dalam bidang pendidikan. Pendidikan adalah hal terpenting dalam kehidupan setiap manusia. Setiap manusia harus memiliki pendidikan guna mencapai tujuan dari pembukaan UUD 1945 alinea keempat yakni mencerdaskan kehidupan anak bangsa. Berdasarkan tujuan itu, mahasiswa dapat mengambil langkah untuk membantu pendidikan dengan cara berperan dalam proses pembelajaran di dua sekolah yang ada di Kelurahan Labuhbaru Barat yakni TK Darul Hikmah dan MDA Muhammadiyah. Metode yang digunakan oleh mahasiswa saat menjalankan pengabdian di TK Darul Hikmah dilakukan dengan metode pembelajaran yang menyengkan seperti belajar sambil bermain, belajar melalui lagu, pembelajaran dari buku cerita anak islami, buku bahan ajar literasi dan numerasi. Metode yang digunakan oleh mahasiswa saat menjalankan pengabdian di MDA Muhammadiyah dilakukan dengan metode pembelajaran menyimak bacaan ngaji siswa, pembelajaran sambil bernyanyi, dan hafalan surah pendek. Hasil pengabdian dapat memberikan manfaat dalam peran pembelajaran di TK Darul Hikmah dan MDA Muhammadiyah berupa membantu pengajaran pada dua sekolah.

Published
2022
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7. Acute Suppurative Thyroiditis Secondary to Tuberculosis with Superimposed Bacterial Infection

Author

Siti Sanaa binti Wan Azman and Masni binti Mohamad

Subjects
acute suppurative thyroiditis, thyroid abscess, thyroid tuberculosis, contrast induced thyroiditis, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Acute suppurative thyroiditis is a rare and potentially fatal condition. We present a case of an 18-year-old Malay female who presented with one-week history of painful right sided neck swelling, fever and odynophagia. Neck CT confirms ruptured multiloculated abscess with posterosuperior extension into prevertebral space. Pus and tissue cultured Streptococcus anginosus and Eikenella corrodens with positive TB PCR. She responded well to ampicillin/ sulbactam and anti-tuberculosis treatment with no evidence of residual collection from ultrasound.

Published
2022
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8. Effect of Palm-Based Shortenings of Various Melting Ranges as Animal Fat Replacers on the Physicochemical Properties and Emulsion Stability of Chicken Meat Emulsion

Author

Mohd Razali Faridah, Masni Mat Yusoff, Ashari Rozzamri, Wan Zunairah Wan Ibadullah, Amelia Najwa Ahmad Hairi, Nur Hardy Abu Daud, Nurul Huda, and Mohammad Rashedi Ismail-Fitry

Subjects
fat mimetics, fat substitutes, meat products, palm-based products, sausages, Chemical technology, TP1-1185
Abstract

This study evaluated the effects of palm shortenings (PS) with varying melting ranges (MR) on the physicochemical, emulsion stability, rheological, thermal, textural, and microtextural properties of chicken meat emulsions. Six emulsions were developed: control (chicken skin), sample A (PS at MR of 33–36 °C), sample B (PS at MR of 38–42 °C), sample C (PS at MR of 44–46 °C), sample D (PS at MR of 45–49 °C), and sample E (PS at MR of 55–60 °C). There were no significant differences in cooking loss, pH, and water-holding capacity between the meat emulsions, with sample E providing a more stable emulsion with the lowest fat content and highest moisture content. The colour profiles and protein thermal stabilities of the fat-replaced meat emulsions were not significantly different from the control. The hardness, shear force, storage, and loss moduli increased when palm shortenings with higher melting range were used, with sample E having the highest values. Sample E also exhibited a smaller pore size and more compact structure, and thus was well-emulsified compared to the other samples. Overall, palm shortenings–particularly those with a melting range of 55–60 °C–have the potential to replace chicken skin in meat emulsions.

Published
2023
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9. Effect of education through video and packaging modifications of iron tablets on female adolescent behavior in the iron supplementation intake in SMPN 2 and SMPN 1 Parigi

Author

Ni Putu Osyani Madestria, Apik Indarty Moedjiono, Suriah, Muh. Tahir, Masni, Ketut Suarayasa, Rosmala Nur, and Aminuddin Syam

Subjects
Iron tablets, Anemia, Knowledge, Attitudes, Intentions, Public aspects of medicine, RA1-1270
Abstract

Objective: The purpose of this study was to reveal the effect of providing education by video and modification of iron tablet packaging on young women's behaviour in the iron supplementation intake in SMPN 2 and SMPN 1 – Parigi. Methods: This research was a quasi-experimental design with pretest–posttest control group design along with stratified random sampling, which was SMPN 2 Parigi as an Intervention group and SMPN 1 Parigi as a control group. The total sample of 62 respondents in each group. Result: In the Wilcoxon Signed Ranks Test analysis, the Intervention group (video + modification of iron tablet packaging) valued p = 0.001

Published
2021
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10. The effect of balanced counseling strategy family planning against attitude, subjective norm, and intentions on the use of modern contraception behavior in the Singgani Public Health Center work area of Palu city

Author

Rosalia Stefiani Palinggi, Apik Indarty Moedjiono, Ketut Suarayasa, Masni, Arifin Seweng, Hasnawati Amqam, Rosmala Nur, and Aminuddin Syam

Subjects
Balanced counseling strategy, Attitudes, Subjective norms, Intention, Modern contraception, Public aspects of medicine, RA1-1270
Abstract

Objective: There is a declining trend in the use of modern contraception in the community. The stagnation of family planning services is due to the lack of optimal family planning counseling. Family Planning Balanced Counseling Strategy (FP-BCS) is a family planning counseling that is practical, interactive, and encourages client participation. This study aimed to analyze the influence of the FP–BCS on attitudes, subjective norms, and intentions on modern contraception in the working area of Singgani Health Center, Palu, Indonesia. Method: This research was a quasi-experimental with non-randomized pretest-posttest along to control group design. The sample of the study was third-trimester pregnant women who did antenatal care in the working area of the Singgani Community Health Center. The total sample was 17 respondents for each group; intervention group (treated by Maternal and Child Health (MCH) book and FP-BCS) and control group (treated by MCH Book without FP-BCS). The influence of FP-BCS toward attitudes, subjective norms, and intentions on modern contraception was statistically analyzed using the Wilcoxon Signed Rank Test, McNemar, Mann–Whitney, and Chi-Square. Result: The Wilcoxon Signed Rank Test and McNemar analysis on the intervention group showed an increase in attitude (p = 0.000), subjective norms (p = 0.000), and intention (p = 0.000). The control group showed an increase in intention (0.031), subjective norms (p = 0.005), but there was no increase in attitude (p = 0.081). The Mann-Whitney and Chi-Square analysis showed differences in attitudes (p = 0.000), subjective norms (p = 0.021), and intentions (p = 0.010) between groups, which were given an FP-BSC and those not given an FP-BCS. Conclusion: All in all, it is expected that Family Planning-Balanced Counseling Strategy will be an option in providing family planning counseling.

Published
2021
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11. The relationship between socioeconomic status and nutritional status of pregnant women in temporary shelter, Talise, Palu

Author

Irani Nur Ramadhani, Masni, Aminuddin Syam, Arifin Seweng, Stang, and Rosmala Nur

Subjects
Nutritional status of pregnant women, Nutrition of pregnant women, CED, Public aspects of medicine, RA1-1270
Abstract

Objective: One of the indicators in measuring the nutritional status of a particular community is the nutritional status of pregnant women. A nutritional deficiency occurs if nutritional input for pregnant women from food is not balanced with their body's needs. Several determinants are related to nutritional status. This study aimed to determine the relationship between socioeconomic and nutritional status of pregnant women in temporary shelter, Talise, Palu. Methods: This research was a quantitative observational study with a cross-sectional study approach. Sampling was done by random sampling technique, which obtained 85 pregnant women. Data collection was carried out using a questionnaire. Results: Based on the Chi-Square test, p-value = 0.001, which means that difference between socioeconomic status and nutritional status in pregnant women was significant (p

Published
2021
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12. Risk factors for asphyxia neonatorum in public health centres of nosarara and pantoloan, Palu City

Author

Yuli Fitriana, Apik Indarty M, Anwar Mallongi, Masni Mappajanci, Arifin Seweng, Healthy Hidayanty, Rosmala Nur, and Aminuddin Syam

Subjects
Asphyxia neonatorum, Neonatus, Pregnant women, Public aspects of medicine, RA1-1270
Abstract

Objective: This study aims to determine the risk factors of asphyxia neonatorum in two PONED Public Health Centers of Nosarara and Pantoloan, in Palu City, Central Sulawesi. Methods: This study used a case-control study design. Sampling was conducted by a simple random sampling technique. The sample size in this study was 60 samples. The data collected was secondary data from medical records at Nosarara and Patoloan Public Health Centers, Palu City. Multivariate analysis used to determine the main risk of the incidence of neonatal asphyxia. Results: The results showed the Prolong Parturition OR = 5.714 (95% CI 1.724–18.944); Prematurity OR = 4.333 (95% CI 1.203–15.605); LBW OR = 7.000 (95% CI 1.381–35.487). Conclusion: risk factors for neonatal asphyxia were prolonged labour, prematurity, and LBW. The main factors causing neonatal asphyxia were LBW.

Published
2021
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13. Mapping of high-risk detection of women pregnancy on antenatal care in Talise Health Center, Palu City, Indonesia

Author

Muhammad Asep Dwitama, Masni, Rosmala Nur, Apik Indarty, Muh Tahir A, Anwar Mallongi, Muhammad Basir, Mahfudz, and Alam Ansyari

Subjects
Geographic information systems, High-risk pregnancy, Public health center, Public aspects of medicine, RA1-1270
Abstract

Objective: This study aimed to map pregnant women with high-risk pregnancies based on age, parity, pregnancy history, childbirth history, illness history, and CED status history as well as the relationship between the six factors. Method: This study utilized a survey method with descriptive data without the intervention of variables but observed phenomena or sought the relationship between phenomena and other variables. The survey was conducted with an approach using Geographic Information Systems (GIS). There were 243 respondents obtained using the Lemeshow formula, while the data were analyzed using spatial techniques and Chi-Square test with p > 0.05. Results: The results of spatial analysis using a 1: 50,000 scale map showed that; (1) high-risk and very high-risk pregnancies dominated Talise, (2) based on age, parity, pregnancy history, childbirth history, illness history, and CED status, cases of high-risk pregnancies were all detected in Talise, (3) age (p = 0.000). Furthermore, pregnancy history (p = 0.004) correlated with a high-risk pregnancy. Besides, parity, childbirth history, illness history, and CED status did not correlate with high-risk pregnancy since the p-value > 0.05; (4) age and pregnancy history influenced the high-risk pregnancy.

Published
2021
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14. Prevent postpartum blues with the implementation of breastfeeding father education model to increase the frequency of breastfeeding in mothers: A systematic review

Author

Gusti Ayu Martha Winingsih, Ummu Salmah, Masni, Rahayu Indriasari, Ridwan Amiruddin, and Agus Bintara Birawida

Subjects
Breastfeeding father, Education model, Postpartum blues, Public aspects of medicine, RA1-1270
Abstract

Objective: To find out if the breastfeeding father education model can increase exclusive breastfeeding in mothers to prevent the occurrence of postpartum blues. Methods: This study uses literature review design, articles collected using search engines such as PubMed, Elsevier, Scinapse, Plos One, and Google Scholar. We identified journals based on the PRISMA 2015 Guidelines with a total of n = 5690 and obtained the number of journals reviewed n = 33. Results: The father's support is believed to have influenced the mother's decision to start and maintain breastfeeding. Father education is proven to increase breastfeeding with a value of p (0.001)

Published
2021
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15. Parathyroid Carcinoma: Analysis of Patient Characteristics and Outcomes in a Retrospective Review of Eight Cases seen in a Single Center

Author

Shamira Shahar, Kim Piow Lim, and Masni Mohamad

Subjects
parathyroid neoplasms, carcinoma, hypercalcemia, Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

Eight cases of parathyroid carcinoma were identified (8 females; median age 45 years, range 28-72). Half of whom were diagnosed preoperatively. Hypercalcemic symptoms were seen in 87.5% of the patients and the main complication was nephrolithiasis. At presentation, the median calcium was 3.675 mmol/L, median phosphate of 0.68 mmol/L, median intact parathyroid hormone (iPTH) was 211 pmol/L. Five patients had regional nodes metastasis and 1 had distant metastasis to the lungs. Parathyroid gland invasion to adjacent structures was seen in 62.5% of cases while another 62.5% showed capsular or vascular infiltration on histology with median tumour size of 3.2 cm. Recurrent hypercalcemia occurred in 50% of the patients with median time of recurrence of 21 months. In this case series, we found that patients with severe hypercalcemia and high iPTH also exhibited a high index suspicion of PC.

Published
2019
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17. Changes in 3-, 2-Monochloropropandiol and Glycidyl Esters during a Conventional Baking System with Addition of Antioxidants

Author

Kok Ming Goh, Yu Hua Wong, Faridah Abas, Oi Ming Lai, Masni Mat Yusoff, Tai Boon Tan, Yonghua Wang, Imeddedine Arbi Nehdi, and Chin Ping Tan

Subjects
radical, palm-based shortening, baking system, MCPD esters mitigation, GE mitigation, Chemical technology, TP1-1185
Abstract

Shortening derived from palm oil is widely used in baking applications. However, palm oil and the related products are reported to contain high levels of monochloropropandiol (MCPD) ester and glycidyl ester (GE). MCPD and glycidol are known as process contaminants, which are carcinogenic and genotoxic compounds, respectively. The objective was to evaluate the effects of antioxidant addition in palm olein and stearin to the content of MCPD esters and GE in baked cake. Butylated hydroxyanisole (BHA), rosemary extract and tocopherol were used to fortify the samples at 200 mg/kg and in combinations (400, 600 and 800 mg/kg rosemary or tocopherol combined with 200 mg/kg BHA). The MCPD esters and GE content, radical formation and the quality of the fats portion were analyzed. The results showed that palm olein fortified with rosemary extract yielded less 2-MCPD ester. The GE content was lower when soft stearin was fortified with rosemary. ESR spectrometry measurements showed that the antioxidants were effective to reduce radical formation. The synergistic effects of combining antioxidants controlled the contaminants formation. In conclusion, oxidation stability was comparable either in the single or combined antioxidants. Tocopherol in combination with BHA was more effective in controlling the MCPD esters and GE formation.

Published
2020
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18. Toward Automated Detection of Microbleeds with Anatomical Scale Localization: A Complete Clinical Diagnosis Support Using Deep Learning

Author

Kim, Jun-Ho, Noh, Young, Lee, Haejoon, Lee, Seul, Kim, Woo-Ram, Kang, Koung Mi, Kim, Eung Yeop, Al-masni, Mohammed A., and Kim, Dong-Hyun

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Artificial Intelligence, Computer Science - Computer Vision and Pattern Recognition
Abstract

Cerebral Microbleeds (CMBs) are chronic deposits of small blood products in the brain tissues, which have explicit relation to various cerebrovascular diseases depending on their anatomical location, including cognitive decline, intracerebral hemorrhage, and cerebral infarction. However, manual detection of CMBs is a time-consuming and error-prone process because of their sparse and tiny structural properties. The detection of CMBs is commonly affected by the presence of many CMB mimics that cause a high false-positive rate (FPR), such as calcification and pial vessels. This paper proposes a novel 3D deep learning framework that does not only detect CMBs but also inform their anatomical location in the brain (i.e., lobar, deep, and infratentorial regions). For the CMB detection task, we propose a single end-to-end model by leveraging the U-Net as a backbone with Region Proposal Network (RPN). To significantly reduce the FPs within the same single model, we develop a new scheme, containing Feature Fusion Module (FFM) that detects small candidates utilizing contextual information and Hard Sample Prototype Learning (HSPL) that mines CMB mimics and generates additional loss term called concentration loss using Convolutional Prototype Learning (CPL). The anatomical localization task does not only tell to which region the CMBs belong but also eliminate some FPs from the detection task by utilizing anatomical information. The results show that the proposed RPN that utilizes the FFM and HSPL outperforms the vanilla RPN and achieves a sensitivity of 94.66% vs. 93.33% and an average number of false positives per subject (FPavg) of 0.86 vs. 14.73. Also, the anatomical localization task further improves the detection performance by reducing the FPavg to 0.56 while maintaining the sensitivity of 94.66%., Comment: 16 pages, 10 figures,3 tables

Published
2023

20. A Summary of the Malaysian Clinical Practice Guidelines on Management of Obesity 2004

Author

Suehazlyn Zainudin, Zaiton Daud, Masni Mohamad, Alexander Tan Tong Boon, and Wan Mohd Izani Wan Mohamed

Subjects
Diseases of the endocrine glands. Clinical endocrinology, RC648-665
Abstract

In 2004, the Malaysian Clinical Practice Guideline for Management of Obesity was published to assist health practitioners in the management of the obese population. This guidelines, based on gathered evidence published up to 2004, defined weight classifications according to BMI suited to the Malaysian population. The guideline also discussed methods of assessing obesity in adults. Recommendations with respect to treatment approach, encompassing lifestyle, dietary, pharmacological and surgical management of obesity in adults, and management approach in children and adolescent were also discussed in detail in the guidelines. The following article summarizes the recommendations that were made in the 2004 guidelines.

Published
2014

22. Stacked U-Nets with Self-Assisted Priors Towards Robust Correction of Rigid Motion Artifact in Brain MRI

Author

Al-masni, Mohammed A., Lee, Seul, Yi, Jaeuk, Kim, Sewook, Gho, Sung-Min, Choi, Young Hun, and Kim, Dong-Hyun

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper, we develop an efficient retrospective deep learning method called stacked U-Nets with self-assisted priors to address the problem of rigid motion artifacts in MRI. The proposed work exploits the usage of additional knowledge priors from the corrupted images themselves without the need for additional contrast data. The proposed network learns missed structural details through sharing auxiliary information from the contiguous slices of the same distorted subject. We further design a refinement stacked U-Nets that facilitates preserving of the image spatial details and hence improves the pixel-to-pixel dependency. To perform network training, simulation of MRI motion artifacts is inevitable. We present an intensive analysis using various types of image priors: the proposed self-assisted priors and priors from other image contrast of the same subject. The experimental analysis proves the effectiveness and feasibility of our self-assisted priors since it does not require any further data scans., Comment: 24 pages, 10 figures, 3 tables

Published
2021

32. A Unified Multi-Task Learning Model with Joint Reverse Optimization for Simultaneous Skin Lesion Segmentation and Diagnosis.

Author

Al-masni, Mohammed A., Al-Shamiri, Abobakr Khalil, Hussain, Dildar, and Gu, Yeong Hyeon

Subjects
*SKIN cancer, *LEARNING strategies, *SKIN tumors, *MATHEMATICAL optimization, *MEDICAL screening
Abstract

Classifying and segmenting skin cancer represent pivotal objectives for automated diagnostic systems that utilize dermoscopy images. However, these tasks present significant challenges due to the diverse shape variations of skin lesions and the inherently fuzzy nature of dermoscopy images, including low contrast and the presence of artifacts. Given the robust correlation between the classification of skin lesions and their segmentation, we propose that employing a combined learning method holds the promise of considerably enhancing the performance of both tasks. In this paper, we present a unified multi-task learning strategy that concurrently classifies abnormalities of skin lesions and allows for the joint segmentation of lesion boundaries. This approach integrates an optimization technique known as joint reverse learning, which fosters mutual enhancement through extracting shared features and limiting task dominance across the two tasks. The effectiveness of the proposed method was assessed using two publicly available datasets, ISIC 2016 and PH2, which included melanoma and benign skin cancers. In contrast to the single-task learning strategy, which solely focuses on either classification or segmentation, the experimental findings demonstrated that the proposed network improves the diagnostic capability of skin tumor screening and analysis. The proposed method achieves a significant segmentation performance on skin lesion boundaries, with Dice Similarity Coefficients (DSC) of 89.48% and 88.81% on the ISIC 2016 and PH2 datasets, respectively. Additionally, our multi-task learning approach enhances classification, increasing the F1 score from 78.26% (baseline ResNet50) to 82.07% on ISIC 2016 and from 82.38% to 85.50% on PH2. This work showcases its potential applicability across varied clinical scenarios. [ABSTRACT FROM AUTHOR]

Published
2024
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33. Outcomes with Finerenone in Participants with Stage 4 CKD and Type 2 Diabetes: A FIDELITY Subgroup Analysis

Author

Sarafidis, Pantelis, Agarwal, Rajiv, Pitt, Bertram, Wanner, Christoph, Filippatos, Gerasimos, Boletis, John, Tuttle, Katherine R., Ruilope, Luis M., Rossing, Peter, Toto, Robert, Anker, Stefan D., Liu, Zhi-Hong, Joseph, Amer, Ahlers, Christiane, Brinker, Meike, Lawatscheck, Robert, Bakris, George, Aizenberg, Diego, Bartolacci, Inés, Besada, Diego, Bittar, Julio, Chahin, Mariano, Elbert, Alicia, Gelersztein, Elizabeth, Liberman, Alberto, Maffei, Laura, Manghi, Federico Pérez, Sanabria, Hugo, Vallejos, Augusto, Viñes, Gloria, Wassermann, Alfredo, Abhayaratna, Walter, Acharya, Shamasunder, Ekinci, Elif, Lee, Darren, MacIsaac, Richard, Mah, Peak Mann, Nelson, Craig, Packham, David, Pape, Alexia, Roger, Simon, Stephenson, Hugo, Suranyi, Michael, Wittert, Gary, Vale, Elizabeth, Colman, Peter, Colquhoun, David, Ellis, Chris, Joshua, Kim, Pedagogos, Eugenia, Regal, Paul, Topliss, Duncan, Vandeleur, James, Verjans, Johan, Wittert, Gary, Wynne, Katie-Jane, Clodi, Martin, Ebenbichler, Christoph, Fliesser-Görzer, Evelyn, Hanusch, Ursula, Krebs, Michael, Lhotta, Karl, Ludvik, Bernhard, Mayer, Gert, Neudorfer, Peter, Paulweber, Bernhard, Prager, Rudolf, Preiß, Wolfgang, Prischl, Friedrich, Schernthaner, Gerit-Holger, Sourij, Harald, Wiesholzer, Martin, Drexel, Heinz, Oberbauer, Rainer, Schönherr, Hans-Robert, Doubel, Peter, Engelen, Wendy, Gillard, Pieter, Hougardy, Jean-Michel, Krzesinski, Jean-Marie, Maes, Bart, Speeckaert, Marijn, Stas, Koen, van Gaal, Luc, Vanbelleghem, Hilde, Duyck, Francis, Scheen, André, Antunes, Daniela, Botelho, Roberto, Brito, Claudia, Canani, Luis, Canziani, Maria Eugenia, Cerqueira, Maria, de Paula, Rogerio, Eliaschewitz, Freddy, Figueiredo, Carlos Eduardo, Forti, Adriana, Hissa, Miguel, Leite, Emerson Lima Maurilo, Jr, Noronha, Irene, Paolino, Bruno, Paschoalin, Nathalia, Paschoalin, Raphael, Filho, Roberto Pecoits, Pereira, Marcio, Portes, Evandro, Precoma, Dalton, Rea, Rosangela, Riella, Miguel, Salles, Joao Eduardo, Vasconcellos, Eduardo, Vencio, Sergio, Bacci, Marcelo, Maia, Lilia, Villacorta, Aline, Apostolova, Emiliya, Boshnyashka, Radostina, Farah, Ghassan, Georgiev, Dimitar, Gushterova, Valentina, Klyuchkova, Neli, Lucheva, Mariya, Manova, Petya, Minkova, Dotska, Nonchev, Boyan, Pichmanova, Mariyana, Prakova, Zhulieta, Rangelov, Rangel, Rashkov, Rosen, Stanchev, Pavel, Stoyanovska-Elencheva, Bilyana, Tagarev, Zhivko, Temelkova-Kurktschieva, Theodora, Vasileva, Svetla, Yoncheva-Mihaylova, Mariana, Marinchev, Angel, Miteva, Mariya, Barre, Paul, Carlson, Brian, Conway, James, Cournoyer, Serge, Dumas, Richard, Fikry, Sameh, Goluch, Richard, Hamet, Pavel, Hart, Randolph, Henein, Sam, Liutkus, Joanne, Madore, Francois, Martinho, Valdemar, Mazza, Giuseppe, McFarlane, Philip, Keefe, Dennis O′, Peterson, Sean, Schwartz, Daniel, Shu, Daniel, Steele, Andrew, Tellier, Guy, Tennankore, Karthik, Tobe, Sheldon, Tsoukas, George, Tytus, Richard, Vitou, Louise, Walsh, Michael, Weisnagel, Stanley, Wilderman, Igor, Yale, Jean-Francois, El Boreky, Fadia, Kelly, Alan, Leiter, Lawrence, Teitelbaum, Ivor, Cobos, Jorge, Godoy, Juan, González, Fernando, Lobos, Sergio, Palma, Juan Carlos, Prieto Dominguez, Juan Carlos, Reyes, Eliana, Romero, Carmen, Saavedra, Victor, Vega, Mario, Medina, Marcelo, Varleta, Paola, Bu, Ruifang, Cai, Hanqing, Chen, Nan, Chen, Qinkai, Chen, Dejun, Cheng, Jinluo, Dong, Youping, Dong, Junwu, Guan, Tianjun, Hao, Chuanming, Huang, Wen, Jiang, Fangfang, Lei, Minxiang, Li, Ling, Li, Zhonghe, Li, Xuemei, Li, Jingmei, Li, Yan, Liang, Xinling, Liang, Bo, Liu, Fang, Liu, Yinghong, Liu, Yuantao, Liu, Zhihong, Long, Gang, Lu, Guoyuan, Lu, Weiping, Lu, Yibing, Luo, Ping, Ma, Jianhua, Mo, Zhaohui, Niu, Jianying, Peng, Ai, Shen, Jiansong, Shen, Feixia, Shi, Bingyin, Su, Qing, Sun, Zhuxing, Tang, Shuifu, Tong, Nanwei, Wang, Hao, Wang, Xinjun, Wang, Guixia, Wang, Jianqin, Wang, Yangang, Wang, Li, Wei, Jiali, Wu, Tianfeng, Wu, Chaoqing, Xing, Changying, Xiong, Fei, Xu, Xudong, Xu, Ning, Yan, Tiekun, Yang, Jinkui, Yin, Aiping, Zeng, Longyi, Zhang, Hao, Zhang, Yanlin, Zhang, Ying, Zhao, Wenjing, Zhao, Zhiquan, Zheng, Hongguang, Zhong, Ling, Zhu, Dalong, Zhuang, Yongze, Du, Yuming, Fang, Yi, Guo, Weiying, Jiang, Sheng, Kuang, Jian, Li, Dongmei, Li, Hongmei, Li, Yinan, Li, Yuxiu, Liu, Jian, Liu, Yu, Miao, Heng, Peng, Wen, Wang, Lihua, Xu, Mingtong, Zhong, Liyong, Zhu, Jun, Arango, Clara, Barrera, Sandra, López, Nelly Beltrán, Benitez, Diego, Blanco, Guillermo, Cadena, Andrés, Coronel, Julian, Cure, Carlos, Durán, Carlos, González, Alexander, Guzmán, Gustavo, Hernández, Eric, Ibarra, Jaime, Jaramillo, Carlos, Jaramillo, Nicolás, Kattah, William, Molina, Dora, Sánchez, Gregorio, Terront, Mónica, Trujillo, Freddy, Urina, Miguel, Vargas, Ruben, Villegas, Iván, Yupanqui, Hernán, Arcos, Edgar, Aroca, Gustavo, Barreto, Germán, Bermudez, Andres, Botero, Rodrigo, Cárdenas, Tatiana, Figueroa, Wilmer, Jaramillo, Mónica, Liévano, Manuel, López, Mónica, Molina, Dora, Rosero, Ricardo, Trillos, Pedro, Dino Alferi, Brada, Michal, Brezina, Jiri, Bucek, Petr, Edelsberger, Tomas, Gulakova, Drahomira, Zapletalova, Jitka Hasalova, Hola, Olga, Hornova, Lucie, Houdova, Jana, Hrmova, Helena, Karasek, David, Kopecka, Sarka, Kovar, Richard, Krcova, Eva, Kuchar, Jiri, Kutejova, Vlasta, Lubanda, Hana, Matyasek, Ivo, Mokrejsova, Magdalena, Okenka, Libor, Prazny, Martin, Pumprla, Jiri, Tomanek, Pavel, Andersen, Ulla, Andries, Alin, Bech, Jesper, Faber, Jens, Gislason, Gunnar, Hangaard, Jørgen, Pacyk, Grzegorz Jaroslaw, Juhl, Claus, Krarup, Thure, Lindhardt, Morten, Madsbad, Sten, Nielsen, Joan, Pedersen-Bjergaard, Ulrik, Poulsen, Per, Rasmussen, Ole, Rossing, Peter, Schousboe, Karoline, Gram, Jeppe, Lauridsen, Thomas, Pedersen, Erling, Thorsteinsson, Birger, Flöjt, Päivi, Honkasalo, Mikko, Honkasalo, Mikko, Humaloja, Kari, Kananen, Kristiina, Kantola, Ilkka, Koistinen, Arvo, Korsoff, Pirkko, Lahtela, Jorma, Nieminen, Sakari, Nieminen, Tuomo, Sadeharju, Karita, Strand, Jorma, Sulosaari, Sakari, Cariou, Bertrand, Chantrel, François, Clavel, Sylvaine, Combe, Christian, Fauvel, Jean-Pierre, Gallouj, Karim, Gouet, Didier, Guerci, Bruno, Guerrot, Dominique, Hourmant, Maryvonne, Klein, Alexandre, Mariat, Christophe, Marre, Michel, Mesbah, Rafik, Le Meur, Yannick, Monier, Arnaud, Moranne, Olivier, Roussel, Ronan, Serusclat, Pierre, Vendrely, Benoit, Verges, Bruno, Zaoui, Philippe, Axthelm, Christoph, Bergmann, Andreas, Birkenfeld, Andreas L., Braun, Hermann, Busch, Klaus, Contzen, Christel, Degenhardt, Stefan, Derwahl, Karl, Giebel, Thomas, Hagenow, Andreas, Haller, Hermann, Hasslacher, Christoph, Horacek, Thomas, Jungmair, Wolfgang, Kloos, Christof, Koch, Thorsten, Krüger, Thilo, Mühlfeld, Anja, Müller, Joachim, Pfützner, Andreas, Pistrosch, Frank, Rinke, Andrea, Rose, Ludger, Rump, Lars, Schettler, Volker, Schiefke, Ingolf, Schlichthaar, Heike, Schröppel, Bernd, Schöll, Norbert, Schubert, Kristin, Schürholz, Thomas, Sigal, Helena, Stemler, Lutz, Strack, Georg, Täschner, Heidrun, Toursarkissian, Nicole, Tschöpe, Diethelm, Ulmer, Achim, van der Giet, Markus, Wanner, Christoph, Winkelmann, Bernhard R., Boletis, Ioannis, Dimitriadis, George, Hatziagelaki, Erifili, Iatrou, Christos, Ioannidis, Ioannis, Kounadi, Theodora, Makriniotou, Ioanna, Papadopoulou, Dorothea, Papagianni, Aikaterini, Passadakis, Ploumis, Piaditis, George, Stefanidis, Ioannis, Tai Pang Ip, Lee, Paul, Andrea Luk, On Yan, Ma, Ronald, Chow, Wing Sun, Wang, Angela, Yeung, Vincent, Bajcsi, Dora, Danos, Peter, Harcsa, Eleonora, Kalina, Akos, Kazup, Szilvia, Keltai, Katalin, Kirschner, Robert, Kiss, Julianna, Kovacs, Laszlo, Lamboy, Beata, Literati-Nagy, Botond, Mileder, Margit, Nagy, Laszlo, Noori, Ebrahim, Nyirati, Gabor, Petro, Gizella, Schneider, Karoly, Simon, Judit, Szocs, Albert, Vasas, Szilard, Wudi, Krisztina, Zilahi, Zsolt, Zsom, Marianna, Eustace, Joe, Holian, John, Reddan, Donal, Meara, Yvonne O′, Abramof Ness, Rosane, Adawi, Faiad, Armaly, Zaher, Atar, Shaul, Bashkin, Amir, Ben Chetrit, Sydney, Yanay, Noa Berar, Chernin, Gil, Darawsha, Mahmud, Efrati, Shai, Elias, Mazen, Farber, Evgeny, Glandt, Mariela, Grossman, Ehud, Halabi, Majdi, Harman-Boehm, Ilana, Khazim, Khaled, Liberty, Idit, Minuchin, Oscar, Mosenzon, Ofri, Nakhoul, Farid, Nimer, Assy, Schwartz, Doron, Wainstein, Julio, Yagil, Yoram, Zukermann, Robert, Avogaro, Angelo, Battaglia, Giovanni Giorgio, Bevilacqua, Maurizio Tiziano, Bonora, Enzo, Bossi, Carlo Antonio, Calabrò, Paolo, Cavalot, Franco Luigi, Cimino, Roberto, Cozzolino, Mario Gennaro, David, Salvatore, Emdin, Michele, Fiaccadori, Enrico, Fiorina, Paolo, Giorda, Carlo Bruno, Gregorini, Maria Cristina, La Manna, Gaetano, Maggi, Davide Carlo, Manti, Roberta, Meregalli, Giancarla, Pani, Antonello, Parvanova, Aneliy Ilieva, Perico, Norberto, Piatti, PierMarco, Pisani, Antonio, Pontiroli, Antonio Ettore, Ponzani, Paola, Santorelli, Gennaro, Santoro, Domenico, Scanziani, Renzo, Teatini, Ugo, Tonolo, Giancarlo, Trevisan, Roberto, Veronelli, Anna Maria, Viviani, Giorgio Luciano, Araki, Hideo, Bando, Yukihiro, Ebisui, Osamu, Fujita, Naruhiro, Fukasawa, Hirotaka, Furuya, Ryuichi, Hamamoto, Yoshiyuki, Hamasaki, Akihiro, Hasegawa, Kotaro, Hatazaki, Masahiro, Hayashi, Terumasa, Higashi, Takayuki, Hirohata, Yoshihide, Horinouchi, Shuji, Hoshi, Ayumu, Imoto, Hirofumi, Inagaki, Akemi, Inagaki, Masayuki, Inaguma, Daijo, Inoue, Toshihiko, Ishii, Masao, Ishiko, Tamayo, Isono, Motohide, Jinnouchi, Hideaki, Kanai, Hidetoshi, Kanda, Daisuke, Kanehara, Hideo, Kashima, Masayuki, Kataoka, Yuko, Katayama, Shigehiro, Kato, Kiyoe, Katsuki, Takeshi, Kawamitsu, Katsunori, Kawasaki, Satsuki, Kikuchi, Fumi, Kikuchi, Hidetoshi, Kishimoto, Rui, Kobayashi, Kunihisa, Koide, Junko, Komi, Rieko, Kubota, Miyuki, Kuriya, Genpei, Kurose, Takeshi, Kusano, Yoshiro, Hajime, Maeda, Matsubayashi, Sunao, Matsumoto, Kazunari, Matsumura, Naoya, Matsuo, Yasuto, Matsuoka, Naoki, Miyaoka, Hiroaki, Miyata, Satoshi, Morita, Takeshi, Murakami, Isao, Murao, Satoshi, Nakamura, Udai, Nakayama, Mikihiro, Nakazawa, Jun, Nohara, Sakae, Nomiyama, Takashi, Noritake, Masayuki, Oda, Yoshiaki, Ogiwara, Takayuki, Ohashi, Hiroshi, Okamoto, Hideki, Okino, Shinichi, Osonoi, Takeshi, Sasaki, Nobuhiro, Sayo, Yoshitaka, Sekigami, Taiji, Shibasaki, Taro, Shibata, Hirotaka, Shimoyama, Tatsushi, Shinoda, Junji, Sobajima, Hiroshi, Sugitatsu, Kazuya, Sugiura, Toshiyuki, Sugiyama, Toru, Suzuki, Daisuke, Suzuki, Hiroyuki, Suzuki, Masaaki, Takeda, Asami, Tanaka, Asami, Tanaka, Seiichi, Tsunematsu, Izumi, Ueda, Yasuo, Uekihara, Soichi, Ujihara, Makoto, Yajima, Ken, Yamada, Daishiro, Yamada, Masayo, Yamagata, Kazuo, Yamakawa, Ken, Yamakawa, Fumiko, Yamasaki, Yoshimitsu, Yambe, Yuko, Yanagida, Taihei, Yanai, Hidekatsu, Yanase, Toshihiko, Yasuda, Tetsuyuki, Kriauciuniene, Dovile, Lasiene, Jurate, Navickas, Antanas, Radzeviciene, Lina, Urbanaviciene, Egle, Urbonas, Gediminas, Velaviciene, Audrone, Abd Ghani, Rohana, Aziz, Nor Azizah, Lee, Li Yuan, Loh, Chek Loong, Ali, Norhaliza Mohd, Noor, Nurain Mohd, Fatnoon Nik Ahmad, Nik Nur, Ratnasingam, Jeyakantha, Halimi Bin Wan Hasan, Wan Hasnul, Izani Wan Mohamed, Wan Mohd, Khir, Rizmy Najme, Mohamad, Masni, Alexander Tan, Tong Boon, Avila Pardo, Sandro, Adrian, Miriam Bastidas, Wong, Alfredo Chew, Escobedo de la Peña, Jorge, Salmón, Guillermo Fanghänel, Gálvez, Guillermo González, Ochoa, Ramiro Gutiérrez, Santana, Saúl Irizar, Rovalo, Magdalena Madero, Machado, Gustavo Méndez, Ruiz, Luis Nevarez, Ibarra, Denisse Ramos, López, Gabriel Ramos, Reyna, Leobardo Sauque, Ortiz, Gustavo Solache, Ortiz, Rafael Valdez, Mesa, Juan Villagordoa, Salazar, Melchor Alpizar, Hernández, Pedro García, González, José, Soto, José Lazcano, Mendoza, Arturo Saldaña, Santana, Sergio Irizar, Vilchis, Elvira González, Bakker, R.C., Barendregt, J.N.M., Boonstra, A.H., Bos, Willem, Brouwer, C.B., Buren, M. van, Gansevoort, Ron, Kooy, Adriaan, Krekels, Marielle, Leendert, Ruud J.M. van, Lieverse, Louis A.G., Luik, P.T., Penne, E. Lars, Gregoor, Peter Smak, Vogt, Liffert, Born, Bert-Jan van den, John Baker, Crawford, Veronica, Cutfield, Rick, Dunn, Peter, Krebs, Jeremy, Nirmalaraj, Kingsley, Scott, Russell, Smuts, Nine, Titchener, Janet, Eriksen, Erik, Finnes, Trine, Høivik, Hans, Karlsson, Thomas, Munk, Peter Scott, Radtke, Maria, Risberg, Knut, Rocke, Jan, Solnør, Leidulv, Stenehjem, Aud-Eldrid, Tafjord, Anne-Beathe, Asprusten, Emil, Hagemeier, Robert, Høye, Kjetil, Selsås, Hilde, Thorup, Frode, Wium, Cecilie, Pamugas, Glenda, Panelo, Araceli, Perez, Ronald, Tanque, Maribel, Tirador, Louie, Villa, Michael, Bautista, Albert, Catindig, Elizabeth, Manalo, Carlo, Mirasol, Roberto, Butrymowicz, Patrycja, Ciechanowski, Kazimierz, Cieslik, Grazyna, Franek, Edward, Gumprecht, Janusz, Hoffmann, Michal, Krzykowska, Jolanta, Kurnatowska, Ilona, Landa, Katarzyna, Madrzejewski, Adam, Madziarska, Katarzyna, Mazur, Stanislaw, Napora, Piotr, Nowicki, Michal, Ocicka-Kozakiewicz, Anna, Rewerska, Barbara, Rusicka, Teresa, Ruxer, Jan, Skokowska, Ewa, Stankiewicz, Andrzej, Stompor, Tomasz, Tiuryn-Petrulewicz, Agnieszka, Wasilewska, Katarzyna, Wierusz-Wysocka, Bogna, Wnetrzak-Michalska, Renata, Jedynasty, Krystyna, Anand, Izabela Sein, Almeida, Edgar, Ballesteros, Rosa, Barreto, Carlos, Beirao, Idalina, Birne, Rita, Esteves, Cesar, Guia, Jose, Heitor, Susana, Marques, Olinda, Melo, Pedro, Nolasco, Fernando, Pereira, Amalia, Roque, Cristina, Rosario, Francisco, Silva, Gil, Silva, Ana, Teixeira e Costa, Fernando, Lobos, Ana Vila, Alves, Ana Rita, Brandao, Ilidio, Carvalho, Rui, Coelho, Joao, Lourenco, Ana, Matos, Pedro, Rosario, Vanisa, Neves, Joao Sergio, Cortes-Maisonet, Gregorio, Roman-Miranda, Amaury, Brito-Peguero, Yudit, Colon-Vega, Gildred, Albota, Adrian, Bala, Cornelia, Barbonta, Hortensia, Caceaune, Elena, Catrinoui, Doina, Constantin, Ciprian, Dumitrescu, Adriana, Mindrescu, Nicoleta, Mistode, Cristina, Negrisanu, Gabriela, Onaca, Adriana, Paveliu, Silvia, Pintilei, Ella, Pop, Lavinia, Popa, Amorin, Popescu, Alexandrina, Radulian, Gabriela, Szilagyi, Iosif, Turcu, Liana, Vacaru, Georgeta, Vlad, Adrian, Filimon, Adriana, Veresiu, Ioan, Antsiferov, Mikhail, Arkhipov, Mikhail, Babkin, Andrey, Barbarash, Olga, Baranov, Vitaliy, Chernyavskaya, Elena, Demko, Arkadiy, Dreval, Alexander, Edin, Anton, Ermakova, Polina, Fadeev, Valentin, Galyavich, Albert, Gaysina, Leyla, Gordeev, Ivan, Ipatko, Irina, Kalashnikova, Marina, Khalimov, Yuriy, Klimontov, Vadim, Kobalava, Zhanna, Kosmacheva, Elena, Koziolova, Natalya, Sergey Levashov, Lyudmila Kvitkova, Libis, Roman, Marasaev, Vyacheslav, Malykh, Natalia, Martynenko, Vladimir, Malyutina, Sofya, Merai, Imad, Mkrtumyan, Ashot, Nechaeva, Galina, Petunina, Nina, Palyutin, Shamil, Pimenov, Leonid, Rechkova, Elena, Rodionova, Tatyana, Rymar, Oksana, Sardinov, Ruslan, Semenova, Olga, Sherenkov, Alexander, Solovev, Oleg, Smolyarchuk, Elena, Strongin, Leonid, Ukhanova, Olga, Verlan, Nadezhda, Vorokhobina, Natalya, Yakhontov, Davyd, Yakushin, Sergey, Zakharova, Elena, Zalevskaya, Alsu, Zanozina, Olga, Zhdanova, Elena, Zhukova, Larisa, Zykova, Tatyana, Argunova, Yulia, Nikolaev, Konstantin, Villevalde, Svetlana, Fang Sum, Chee, Suhail, Sufi Muhummad, San Tan, Ru, Vathsala, Anantharaman, Wong, Edmund, Bee, Yong Mong, Babikova, Jana, Buganova, Ingrid, Dzupina, Andrej, Ochodnicka, Zuzana, Sosovec, Dalibor, Spodniakova, Denisa, Minarik, Peter, Fayzal Ahmed, Amod, Aslam, Bhana, Sindeep, Distiller, Larry, Jansen van Rensburg, Dirkie, Joshi, Mukesh, Joshi, Shaifali, Lakha, Deepak, Mitha, Essack, Podgorski, Gracjan, Ranjith, Naresh, Rayner, Brian, Rheeder, Paul, Sarvan, Mohamed, Seeber, Mary, Siebert, Heidi, Tayob, Mohammed, Trokis, Julien, Urbach, Dorothea, van Zyl, Louis, Jansen van Rensburg, Dirkie, Bum-Soon Choi, Choi, Moon Gi, Chung, ChoonHee, Hwang, YouCheol, Kim, ChongHwa, Kim, InJoo, Kim, JaeHyeon, Kim, SinGon, Kim, SungGyun, Kim, Tae Hee, Lee, WooJe, Lee, ByungWan, Lee, Kang Wook, Oh, Kook-Hwan, Oh, Ji Eun, Oh, Yun Kyu, Oh, Dong-Jin, Park, Junbeom, Shin, Seok Joon, Sung, Su-Ah, Yu, Jae Myung, Chung, HyeSoo, Huh, Ji Hye, Kang, JunGoo, Kim, ChulSik, Kim, HyeSoon, Kim, NamHoon, Lim, Soo, Cho, Young Min, Park, Cheol Young, Agraz, Irene, Ampudia, Francisco Javier, Bouarich, Hanane, Calero, Francesca, Castro, Cristina, Guldris, Secundino Cigarrán, Garrit, Josep Cruzado, de Álvaro, Fernando, Galcerán, Josep, Albarrán, Olga González, Jaras, Julio Hernández, Ibernón, Meritxell, Deben, Francisco Martínez, Ma, Esteban, Dolores Martínez, Pascual Izuel, José María, Martins, Judith, Mediavilla, Juan, Michán, Alfredo, Santos, Julio Pascual, Poch, Esteban, Rusillo, Manuel Polaina, Juan, Carlos Sánchez, Olmo, Rafael Santamaría, Segura de la Morena, José Julián, Soto, Alfonso, Troya, Maribel, Castro, Fernando Cereto, Fernández, Pablo Gómez, Sánchez, Laura Fuentes, Moya, Mercedes González, Marrero, Domingo Hernández, Maroto, Gonzalo Piedrola, Redón, Josep, Seron, Daniel, Bruchfeld, Annette, Curiac, Dan, Eliasson, Ken, Frank, Malin, Guron, Gregor, Hellberg, Olof, Hellgren, Margareta, Larnefeldt, Hans, Lindholm, Carl-Johan, Löndahl, Magnus, Rein-Hedin, Erik, Soveri, Inga, Spaak, Jonas, Tengmark, Bengt-Olov, Lif-Tiberg, Cornelia, Månflod, Johan, Nguyen, Han, Ackermann, Daniel, Bilz, Stefan, Burnier, Michel, Forster, Christian, Kalbermatter, Stefan, Kistler, Andreas, Pechère-Bertschi, Antoinette, Schultes, Bernd, Laimer, Markus, Rudofsky, Gottfried, Strey, Christopher, Wuerzner, Gregoire, Chiz-Tzung Chang, Hung, Cheng-Chieh, Jiang, Ju-Ying, Lee, Chien-Te, Lin, Shuei-Liong, Tarng, Der-Cherng, Tu, Shih-Te, Wu, Mai-Szu, Wu, Ming-Ju, Chuang, Lee-Ming, Deerochanawong, Chaicharn, Kitiyakara, Chagriya, Ophascharoensuk, Vuddhidej, Pongchaiyakul, Chatlert, Satirapoj, Bancha, Kosachunhanan, Natapong, Sritara, Piyamitr, Eren, Necmi, Gul, Ibrahim, Gulel, Okan, Kocyigit, Ismail, Kumbasar, Abdulbaki, Sahin, Idris, Sari, Ramazan, Sayin, Burak, Tavli, Talat, Ustundag, Sedat, Yenicerioglu, Yavuz, Badak, Ozer, Cayli, Murat, Oguz, Aytekin, Ozdogan, Oner, Sari, Ibrahim, Temizhan, Ahmet, Tigen, Mustafa, Turk, Ugur, Yilmaz, Huseyin, Yilmaz, Mehmet, Bondarets, Iryna, Botsyurko, Volodymyr, Chernikova, Viktoriia, Donets, Oleksandra, Fushtey, Ivan, Grachova, Mariia, Isayeva, Anna, Kogut, Dmytro, Komisarenko, Julia, Kravchun, Nonna, Malyar, Kateryna, Mankovsky, Borys, Martynyuk, Liliya, Maslyanko, Vitaliy, Myshanych, Halyna, Pererva, Larysa, Pertseva, Nataliia, Serhiyenko, Oleksandr, Smirnov, Ivan, Sokolova, Liubov, Stryzhak, Vasyl, Vlasenko, Maryna, Isayeva, Ganna, Larin, Oleksandr, Ahmad AbouSaleh, Barratt, Jonathan, Dang, Cuong, Kahal, Hassan, Kirk, Adam, Kilvert, Anne, Kon, Sui Phi, McCafferty, Kieran, Patel, Dipesh, Rice, Sam, Vijayaraman, Arutchelvam, Wong, Yuk-ki, Gibson, Martin, Wahba, Mona, Zaidi, Reza, Bilous, Rudy, Johnson, Andrew, Kalathil, Dhanya, Kilvert, Anne, Kyriakidou, Christina, Mathew, Amit, Mukhtar, Rasha, Munsoor, Imrozia, Poterajlo, Anton, Swift, Pauline, Idalia Acosta, Adams, Atoya, Adler, Sharon, Ajani, Dilawar, Ali, Slamat, Alicic, Radica, Al-Karadsheh, Amer, Alla, Sreedhara, Allison, D., Andrawis, Nabil, Arif, Ahmed, Awad, Ahmed, Azizad, Masoud, Bahrami, Michael, Bansal, Shweta, Barag, Steven, Barakzoy, Ahmad, Barney, Mark, Barzilay, Joshua, Bashir, Khalid, Bautista, Jose, Beddhu, Srinivasan, Belo, Diogo, Benjamin, Sabrina, Berenji, Ramin, Bhargava, Anuj, Birriel, Jose, Brietzke, Stephen, Brosius, Frank, Brusco, Osvaldo, Burgner, Anna, Busch, Robert, Canadas, Rafael, Caramori, Maria, Cardona, Jose, Case, Christopher, Cruz, Humberto, Dandillaya, Ramprasad, Dawoud, Dalia, Din, Zia, Dixon, Bradley, Doshi, Ankur, Drakakis, James, El Shahawy, Mahfouz, El-Meanawy, Ashraf, El-Shahawy, Mohammed, Evans, John, Fadda, George, Farooq, Umar, Fernando, Roland, Fink, Raymond, First, Brian, Fitz-Patrick, David, Flack, John, Fluck, Patrick, Fogelfeld, Leon, Fonseca, Vivian, Frias, Juan, Galphin, Claude, Garcia-Mayol, Luis, Goldstein, Gary, Gonzalez, Edgar, Gonzalez-Abreu, Francisco, Gore, Ashwini, Grant, David, Habwe, Violet, Hamilton, Maxine, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Heigerick, Glenn, Henry, Andrew, Hernandez, German, Hernandez-Cassis, Carlos, Herrera, Carlos, Hertel, Joachim, Huang, Wenyu, Iglesias, Rogelio, Iranmanesh, Ali, Jackson, Timothy, Jain, Mahendra, Jamerson, Kenneth, Johnson, Karen, Judd, Eric, Kaplan, Joshua, Kayali, Zeid, Khan, Bobby, Khan, Muhammad, Kharait, Sourabh, Kirkman, M. Sue, Kopyt, Nelson, Kotzker, Wayne, Kovesdy, Csaba, Kreit, Camil, Krishna, Arvind, Kronfli, Saeed, Lee, Keung, LeJeune, Derek, Lemus, Brenda, Leon-Forero, Carlos, Linfert, Douglas, Lora, Henry, Lurie, Alexander, Maddukuri, Geetha, Magno, Alexander, Maletz, Louis, Mandayam, Sreedhar, Markell, Mariana, Mayfield, Ronald, Mbogua, Caroline, McMullen, Dierdre, Meisner, Carl, Minton, Stephen, Mocherla, Bharat, Mohandas, Rajesh, Montero, Manuel, Moustafa, Moustafa, Nadkarni, Salil, Nakhle, Samer, Navarro, Jesus, Neyra, Nilda, Nica, Romanita, Nicol, Philip, Norwood, Paul, Numrungroad, Visal, Donovan, Richard O′, Odugbesan, A., Paoli-Bruno, Jorge, Parikh, Samir, Patel, Rakesh, Peixoto, Aldo, Pergola, Pablo, Perlman, Alan, Pettis, Karlton, Pisoni, Roberto, Ponduchi, Mirela, Posada, Jorge, Prabhakar, Sharma, Radhakrishnan, Jai, Rahman, Mahboob, Raina, Rupesh, Rastogi, Anjay, Reisin, Efrain, Rendell, Marc, Robertson, David, Rocco, Michael, Romeu, Hugo, Rosas, Sylvia, Rosenfeld, Jack, Ross, Dennis, Rothman, Jeffrey, Rudolph, Lance, Ruhullah, Yusuf, Ruoff, Gary, Ryu, Jeffrey, Sahani, Mandeep, Sam, Ramin, Samuels, Garfield, Sanchez, William, Santos, Vladimir, Satko, Scott, Saxena, Sanjeev, Scott, David, Seco, Gilberto, Seek, Melvin, Serota, Harvey, Shafi, Tariq, Shahid, Nauman, Shanik, Michael, Sharma, Santosh, Sinha, Arjun, Smelser, James, Smith, Mark, Soe, Kyaw, Solomon, Richard, Soroka, Eugene, Soufer, Joseph, Spinowitz, Bruce, Spry, Leslie, Suarez, Rosa, Subramanian, Bala, Szerlip, Harold, Tamirisa, Aparna, Thomson, Stephen, Tran, Tuan-Huy, Treger, Richard, Trullenque, Gretel, Turk, Thomas, Umpierrez, Guillermo, Urbach, Daniel, Valdes, Martin, Valika, Shujauddin, Vega, Damaris, Weissman, Peter, Whaley-Connell, Adam, Winston, Jonathan, Wise, Jonathan, Wynne, Alan, Zeig, Steven, Abdel-Rahman, Emaad, Abreu, Edel, Awad, Alaa, Bahri, Nader, Bertsch, John, Bleich, David, Bornfreund, Jonathan, Brar, Harjeet, Brian, Susan, Brinson, Cynthia, Bruschetta, Humberto, Carpio, Jose, Cohen, Steven, Cosby, John, Dhanireddy, Soni, Diaz, Jorge, Dunn, Fredrick, Eppanapally, Sabitha, Fayad, Joseph, Goel, Archana, Govindaraju, Kanakadurga, Halpern, Stephen, Jones, Audrey, Kaye, William, Knight, Herbert, Koch, Stanley, Kohli, Nandini, Lastra, Guido, Lerman, Sam, Loredo, Jorge, Lovre, Dragana, Mandviwala, Mustafa, Martin, Earl, Meyer, Jill, Murray, John, Oliver, David, Oparil, Suzanne, Penabad, Jesus, Pereira, Isabel, Popeil, Larry, Quesada, Gonzalo, Ramanathan, Kodangudi, Ramos-Gonez, Luis, Rastegar, Mandana, Rastogi, Padmashri, Rondon, Juan, Roy-Chaudhury, Prabir, Smith, David, Williamson, Don, Womack, Catherine, Yamout, Hala, Yuryev, Michael, Chu, Phuong, Van Hoang, Lam, Khanh, Tran, Phi Nga, Nguyen Thi, Son, Pham Nguyen, Tran, Lan Phuong, Le, Thuy Khuong, Nguyen, Boi Ngoc, Nguyen, Thao, Nui, Nguyen Minh, Nam, Tran Quang, and Tran, Kim Chi

Published
2023
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35. Effects of ADCES7 Self Care Behavior Application and Acupressure on Changes in Blood Glucose Levels in Obesive, Prediabetic Women.

Author

Basri, Acce, Russeng, Syamsiar, Jafar, Nurhaedar, Amiruddin, Ridwan, Thamrin, Yahya, Masni, Masni, Safar, Muhammad, Muslimatun, Siti, and Mallongi, Anwar

Subjects
OBESITY in women, BODY weight, ACUPRESSURE, COMMUNITY centers, LOGISTIC regression analysis, BLOOD sugar
Abstract

Background: Prediabetes and obesity in women are important health problems today. Appropriate selfmanagement and other methods are needed to overcome this. Objective: To assess the magnitude of the difference in changes in fasting blood glucose levels, before and after carrying out ADCES7 self-care behavior and acupressure. Method: This research is quasi-experimental research. The research design used was the Non-Randomized Pre Test - Post Test Control Group, which gathered obese, prediabetic women in the Kalumata Community Health Center, Siko Community Health Center and Posbindu under the PKK Ternate City through screening by excluding those who had suffered from diabetes mellitus and were pregnant. This group was then divided into the ADCES7 self care behavior intervention group, the acupressure group and the combined ADCES7 self care behavior and acupressure group. Multivariate logistic regression was used to assess changes in fasting blood glucose levels. Results: Respondents in this study were 102 people who were divided into three groups. The results showed that there was an effect of Self Management intervention p(0.016)<0.05, acupressure intervention p(0.032)<0.05, and the combination group of Self Management and Acupressure p(0.011)<0.05 on changes in fasting blood glucose levels in prediabetic obese women. Conclusion: obese prediabetic women who are aware and active in self-management ACDES7 self care behavior and acupressure can reduce blood glucose levels and body weight in obese prediabetic women. [ABSTRACT FROM AUTHOR]

Published
2024
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42. DETERMINANTS OF NURSING PERFORMANCE IN SANDI KARSA HOSPITAL, MAKASSAR CITY, INDONESIA.

Author

Muhaimin, Abdul, Nazaruddin, Balqis, Indar, Palutturi, Sukri, Palopadang, Vonny, Masni, and Mumang, Andi Agus

Subjects
NURSES' attitudes, WORK design, ATTITUDES toward work, URBAN hospitals, CROSS-sectional method
Abstract

Nursing performance is an aspect that demonstrates the fulfillment of a nurse's duties and responsibilities. This study aimed to analyze the determinants of nurse performance in Sandi Karsa Hospital Makassar City. This is a quantitative research using a cross-sectional study design. The sample consisted of 93 nurses collected through exhaustive sampling method. Data collection was performed using questionnaire instruments and analyzed using chi-squared and multiple linear regression tests. The results showed that there was a relationship between skills (p=0.024), compensation (p=0.005), workload (p<0.001), job design (p=0.020) and knowledge (p<0.001) with the performance of nurses in performing nursing care. Meanwhile, there was no relationship between attitude and performance of nurses (p=1.000). Workload had the most influence on nurses’ performance (B=2.729; SE=0.743; Exp(B)=15.322; p<0.001). This study concludes that some factors are associated with nurses' performance, with workload being the most determining factor. [ABSTRACT FROM AUTHOR]

Published
2024
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43. Electroretinogram Analysis Using a Short-Time Fourier Transform and Machine Learning Techniques.

Author

Albasu, Faisal, Kulyabin, Mikhail, Zhdanov, Aleksei, Dolganov, Anton, Ronkin, Mikhail, Borisov, Vasilii, Dorosinsky, Leonid, Constable, Paul A., Al-masni, Mohammed A., and Maier, Andreas

Subjects
MACHINE learning, BIOMEDICAL signal processing, FEATURE extraction, SIGNAL classification, CLASSIFICATION algorithms, DEEP learning
Abstract

Electroretinography (ERG) is a non-invasive method of assessing retinal function by recording the retina's response to a brief flash of light. This study focused on optimizing the ERG waveform signal classification by utilizing Short-Time Fourier Transform (STFT) spectrogram preprocessing with a machine learning (ML) decision system. Several window functions of different sizes and window overlaps were compared to enhance feature extraction concerning specific ML algorithms. The obtained spectrograms were employed to train deep learning models alongside manual feature extraction for more classical ML models. Our findings demonstrated the superiority of utilizing the Visual Transformer architecture with a Hamming window function, showcasing its advantage in ERG signal classification. Also, as a result, we recommend the RF algorithm for scenarios necessitating manual feature extraction, particularly with the Boxcar (rectangular) or Bartlett window functions. By elucidating the optimal methodologies for feature extraction and classification, this study contributes to advancing the diagnostic capabilities of ERG analysis in clinical settings. [ABSTRACT FROM AUTHOR]

Published
2024
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44. ANALYSIS OF IMPLEMENTATION OF CITY POLICY FOR CHILDREN BASIC HEALTH AND CHILD WELFARE CLUSTER IN MAKSSAR CITY.

Author

Pratiwi, Dian, Balqis, Darmawansyah, Palutturi, Sukri, Wahyu, Atjo, and Masni

Subjects
CHILD welfare, MUNICIPAL government, SOCIAL context, CHILDREN'S rights, URBAN health, HUMAN capital, JUDGMENT sampling, HUMAN resources departments
Abstract

Copyright of Environmental & Social Management Journal / Revista de Gestão Social e Ambiental is the property of Environmental & Social Management Journal and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2024
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48. Aqueous enzymatic extraction of Moringa oleifera oil with high pressure processing pre-treatment

Author

Mat Yusoff, Masni

Subjects
615.3
Abstract

Moringa oleifera (MO) is a plant species of Indian subcontinent. Its pods contain kernels, which upon maturation consists of up to 35% protein and 41% oil (w/w). This oil is extractable using solvents such as hexane, but this is generally not looked upon favourably due to safety and environmental concerns. This thesis explores the use of aqueous enzymatic extraction (AEE) as an alternative, which involves incubating a mixture of MO kernels, water and enzymes under controlled conditions. Given that the oil globules are predominantly surrounded by proteins and cellulose, the enzymes used in this study were protease and cellulase. Centrifugation of the incubated mixture resulted in four distinct layers: free oil at the top, followed by an oil-in-water cream emulsion, an aqueous phase, and a residual solid meal at the bottom. The highest oil recovered in the free layer at the top following AEE was approximately 73% (w/w), measured in relation to the use of hexane. Another disadvantage of AEE in relation to organic solvent extraction is that a significant part of oil released from the cell ends up in the emulsified layer. Therefore, high pressure processing (HPP) pre-treatment was applied to the kernels prior to AEE, which resulted in increase in free oil quantity and a reduction in emulsion layer thickness. It is hypothesized that HPP modifies the MO protein structure into a form that lowers its emulsifying ability. The use of HPP considerably simplifies downstream oil separation steps. Storage tests showed that enzymatic extraction resulted in MO oil having better oxidative stability than the hexane-extracted oil. The MO oil also contained up to 75% oleic acid and high tocopherol contents, which contributed to its enhanced oxidative stability.

Published
2016

50. Elucidation of synergistic interactions between anionic polysaccharides and hemp seed protein isolate and their functionalities in stabilizing the hemp seed oil-based nanoemulsion

Author

Gholivand, Somayeh, Tan, Tai Boon, Mat Yusoff, Masni, Choy, Hew Weng, Teow, Shuh Jun, Wang, Yong, Liu, Yuanfa, Tan, Chin Ping, Gholivand, Somayeh, Tan, Tai Boon, Mat Yusoff, Masni, Choy, Hew Weng, Teow, Shuh Jun, Wang, Yong, Liu, Yuanfa, and Tan, Chin Ping

Abstract

This study aimed to enhance the physical stability of hemp seed oil (HSO) nanoemulsions stabilized by hemp seed protein isolate (HPI)-polysaccharides (carrageenan, alginate, gum arabic and pectin) complexes. Extensive investigations were conducted to evaluate the surface charge characteristics of HPI and polysaccharides, along with an assessment of their binding strength and complex formation. The researchers also examined various influential factors such as polysaccharide type and concentration, nanoemulsion droplet size and charge, environmental stresses, shearing rate, and creaming stability on the HSO nanoemulsions stabilized using HPI-polysaccharide emulsifiers. The results demonstrated that the main influencing parameters were polysaccharide type and concentration. In addition, all HPI (0.5 (w/v)-polysaccharide (0.01 (w/v)) nanoemulsions exhibited significant resistance to droplet aggregation and creaming, even under thermal treatment (≤100 °C). This stability can be attributed to the synergistic effects of the mixed emulsifiers with opposite surface charges, which resulted in nanoemulsions with a positive charge under optimal pH conditions (pH = 3 for carrageenan and 3.5 for other polysaccharides) due to repulsive forces between droplets. Notably, only the HPI-alginate nanoemulsion reveals stability across all salt levels (≤ 500 mM), while the other nanoemulsions remained stable solely at low NaCl concentrations (≤ 200 mM). This exceptional stability can be attributed to the alginate flexibility and formation of a compact complex between HPI at the surface of the nanoemulsion droplets. This study's findings carry significant implications for the food and beverage industries, especially regarding the use of HPI as a functional food ingredient. Furthermore, HPI-alginate nanoemulsions offer great potential as alternative encapsulation materials.

Published
2024

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