Mahidol University's Institutional Repository

คลังสารสนเทศสถาบันของมหาวิทยาลัยมหิดล

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To collect Mahidol University's academic publications and intellectual properties more than 39 faculties

To present over 50,000 items of information in digital formats

To make it easy to access to all information at anytime, anywhere

 

Recent Submissions

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Accurate Prediction of Ion Mobility Collision Cross-Section Using Ion’s Polarizability and Molecular Mass with Limited Data
(2023-01-01) Wisanpitayakorn P.; Sartyoungkul S.; Kurilung A.; Sirivatanauksorn Y.; Visessanguan W.; Sathirapongsasuti N.; Khoomrung S.; Wisanpitayakorn P.; Mahidol University
The rotationally averaged collision cross-section (CCS) determined by ion mobility-mass spectrometry (IM-MS) facilitates the identification of various biomolecules. Although machine learning (ML) models have recently emerged as a highly accurate approach for predicting CCS values, they rely on large data sets from various instruments, calibrants, and setups, which can introduce additional errors. In this study, we identified and validated that ion’s polarizability and mass-to-charge ratio (m/z) have the most significant predictive power for traveling-wave IM CCS values in relation to other physicochemical properties of ions. Constructed solely based on these two physicochemical properties, our CCS prediction approach demonstrated high accuracy (mean relative error of <3.0%) even when trained with limited data (15 CCS values). Given its ability to excel with limited data, our approach harbors immense potential for constructing a precisely predicted CCS database tailored to each distinct experimental setup. A Python script for CCS prediction using our approach is freely available at https://github.com/MSBSiriraj/SVR_CCSPrediction under the GNU General Public License (GPL) version 3.
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Depression and generalized anxiety and associated factors among adult women and men in Nepal: Results of a national cross-sectional survey in 2022
(2024-01-01) Suanrueang P.; Peltzer K.; Suanrueang P.; Mahidol University
The aim of this study was to assess the prevalence and correlates of major depressive disorder (MDD) and generalized anxiety disorder (GAD) among adults in a national population-based survey in Nepal in 2022. MDD was assessed with the PHQ-9 and GAD with the GAD-7. Among women, the prevalence of mild and moderate or severe MDD was 16.2% and 5.9%, respectively, and the prevalence of mild and moderate or severe GAD was 20.6% and 8.2%, respectively. Among men, the prevalence of mild and moderate or severe MDD was 9.4% and 1.8%, respectively, and the prevalence of mild and moderate or severe GAD was 14.0% and 2.4%, respectively. Among women, in the multivariable model, poor self-rated health status, genital discharge, barriers to access health care, having two or more control issues with their husband or partner, experiencing one, or two or more forms of emotional violence, and exposure to two or three types of intimate partner violence were positively associated with MDD. Being widowed, divorced or separated, poor self-rated health status, genital discharge, barriers to access health care, having two or more control issues with their husband or partner, experiencing two or more forms of emotional violence, and exposure to two or three types of intimate partner violence were positively associated with GAD. Among men, poor self-rated health status, current tobacco use, genital sore or ulcer, sons and/or daughters had died, younger age and never internet use were positively associated with MDD, and being widowed, divorced or separated, poor self-rated health status, younger age and sons and/or daughters had died were positively associated with GAD. Low rates and several associated factors of MDD and GAD were found in Nepal.
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Applying the concept of Thai nutrient profiling as a model for the Thai school lunch planner
(2024-01-01) Keeratichamroen A.; Praditsorn P.; Churak P.; Srisangwan N.; Sranacharoenpong K.; Ponprachanuvut P.; Chammari K.; Keeratichamroen A.; Mahidol University
This study aimed to develop the Thai school lunch planning program using nutrient profiling (NP). The intention was to create a user-friendly tool that aids teachers in preparing nutritionally balanced school lunch menus. The Thai school lunch planner was developed by gathering 53 popular lunch menus from a school lunch outsourcing company in Bangkok. Menus were grouped into ten categories based on food characteristics and cooking methods. Then, menus were graded according to their energy and 13 nutrients using NP criteria as ‘grade A’ (score >16), ‘grade B’ (scores 12-16), and ‘grade C’ (score <12), and menu category codes were created. Lunch sets were matched across the menu category codes and based on the two formats of school lunch standards. Finally, lunch sets were graded based on energy and 13 nutrient contents using NP criteria, with cut-off macronutrients set at 30% of Thai DRI 2020. Regarding the two formats of school lunch standards, this study found 63 uniquely matched patterns, with the possibility of forming 5,160 lunch sets. Lunch pattern format 1 had 57 patterns and 5,085 menu sets, of which 2,706 menu sets met 30% of the Thai DRI macronutrient requirement. The lunch pattern format 2 could create up to 75 sets from six patterns. Thirty-seven menu sets (49.3%) met the 30% Thai DRI macronutrient requirement. NP could be a valuable alternative for planning school lunch sets to guarantee high-quality and nutritious meals. This technique can be combined with the existing school food menu guidelines. Teachers, with or without basic nutrition knowledge, can find this strategy relatively user-friendly. Even though this technique is suitable for primary schools that serve two side dishes, schools serving one side dish can apply it by increasing the portion of the side dish.
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The infection of Cysticercus fasciolaris in natural rats (Rattus species) residing in human residence areas, Nakhon Si Thammarat, Thailand
(2024-04-01) Thaikoed S.; Mitsuwan W.; Chaisiri K.; Tanthanathipchai N.; de Lourdes Pereira M.; Paul A.K.; Nissapatorn V.; Saengsawang P.; Thaikoed S.; Mahidol University
Cysticercus fasciolaris (C. fasciolaris) is the larval stage of a cestode parasite named Taenia taeniaeformis (T. taeniaeformis). C. fasiolaris is found in small rodents, especially rats. Rattus species are listed as intermediate hosts of this parasite, and cats are the main definitive host of C. fasiolaris. The objective of this study was to study the pathological, microscopic, and molecular aspects of C. fasciolaris in rodents residing in human residence areas. One hundred and two rodents were trapped in human settlements and dissected for larva-containing cyst examinations in the body cavity. The larvae of C. fasciolaris were investigated using histopathological examination, microscopic observations under a stereomicroscope and scanning electron microscope, and molecular detection using polymerase chain reaction. The prevalence of hepatic cysts containing larvae was 8.91% (95% CI = 4.16–16.24). In addition, the older larvae also had longer micropapillae. Histopathological investigation revealed normal hepatic tissue containing larvae and a scanty fluid cyst. The cyst capsule contains mostly mononuclear cells and spindle cells in all infected rats. The molecular detection using two primer sets revealed the amplicons were similar to the clade of C. fasciolaris. In the future, more investigation is necessary to fully understand the parasite's molecular pathogenesis and virulent molecules, which are less obvious.
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Effects of using audience response systems (Kahoot and Google Forms and Sheets) on learning of medical students in a large class: A questionnaire-based retrospective study
(2024-01-01) Keadkraichaiwat I.; Sitticharoon C.; Lertsiripatarajit V.; Maprapho P.; Keadkraichaiwat I.; Mahidol University
The effectiveness of implementing various audience response system (ARS) formats in large classes to engage students, positively influence academic outcomes, and align with their preferences for different types of activities lacked sufficient information. This study aimed to (1) evaluate students’ perspectives on different ARS formats, including Kahoot for individual (Kahoot-I) and team (Kahoot-T) play, and Google Forms and Google Sheets for multiple-choice questions (Google-MCQ) and for open-ended questions (Google-OEQ) on different aspects with/without subgroup analysis of students into quartiles (Q1-lowest-Q4-highest) of summative scores, and (2) determine correlations between students’ perspectives and academic outcomes. At the course’s final class, a QR code for a 5-point Likert scale questionnaire was displayed for all enrolled medical students. 269/312 students (86.22%) provided written consent and completed the questionnaire constructed based on dimensions of student engagement. Across all ARS formats, students rated scores ≥ 4 for almost all aspects, with participation in class receiving the highest scores. For each aspect, Kahoot-T was rated highest in various aspects and Google-MCQ for “understanding” and Google-OEQ for “asking/answering question”. Higher academic achievers expressed more “enthusiasm” for Kahoot-I than lower achievers (P < 0.05). Formative and summative scores were positively correlated with many aspects. Students reported high engagement with all ARS formats, with higher academic achievers rating them with higher scores. Kahoot-T was the most favored for multiple aspects, Google-MCQ for “understanding” and Google-OEQ for interactive “asking/answering question”. Thus, selecting ARS in alignment with learning objective could enhance students’ engagement and learning outcomes.