Programming Platform Research Articles

The relationship between galaxy features at redshift z=0,1,2,4,6, based on TNG100-1 database

Contemporarily, in the era of big data, astronomical research also requires a large number of database collection and simulation applications. The TNG project is one of the important database projects. Nowadays, the large-scale galaxy survey IllustrisTNG project has collected a huge number of databases, which makes it easier to understand the characteristics of galaxies, including the mass and size of galaxies, gas mass, star formation rate, circular velocity, black holes, etc. In the development process of the TNG project, a large number of open data packages have been collected. TNG50, TNG100, TNG300 and other data packages contain various data of galaxies, which enables scholars to intuitively study the relationship between various features and quickly generate relationship plots. In this essay, the relationship of the galaxy features (i.e., stellar mass, gas mass and star formation rate) will be discussed based on the TNG100-1 data package on the IllustrisTNG program platform to visualize the relationship under different redshift values. According to the analysis, at different redshift values (z=0,1,2,4,6), there is a close relationship between the three directly, the data distribution plots also show that there is linear-like relationship between their common logarithm values to a certain extent, and can be expressed by series of formula. These results reveal connections between the fundamental properties of galaxies and shed light on guiding further researches of the properties and formation of galaxies.

Improving Clinical Competence Through Simulated Training in Evidence-Based Practice for Stuttering: A Pilot Study.

The purpose of this pilot study was to determine the effectiveness and acceptability of an initial module (1.1; active listening skills) of the Simulated Training in Evidence-Based Practice for Stuttering (STEPS) program, a theory-driven, multimodule, content and learning platform designed to advance knowledge and skills in working with culturally and linguistically diverse persons who stutter of all ages. Fifteen preservice speech-language pathologists (SLPs) were randomly assigned to complete either the STEPS 1.1 module or a control module. In both conditions, all participants engaged in pre- and post-clinical interviews with a standardized patient portraying a parent of a child who stutters. Prior to participation, all participants provided self-ratings on the Jefferson Scale of Physician Empathy-Health Profession Student. Post participation, trained observers rated all participants' active listening behaviors using the Active Listening Observation Scale-Modified. Post participation, the STEPS 1.1 participants also completed an intervention acceptability questionnaire. No differences between groups were found in self-perceived clinical empathy prior to participation. Participants who completed the STEPS 1.1 condition utilized paraphrasing and client-directed eye gaze significantly more frequently at posttest than at pretest and significantly more than the control group at posttest. Quantitative and qualitative responses from the participants who completed STEPS 1.1 indicated high acceptability of its content, structure, duration, and perceived impact. Preliminary data from the present pilot study support use of the STEPS 1.1 module to improve preservice SLPs' use of skills that have been shown to predict perceived clinical empathy and increase assessment and treatment effectiveness.

KidBright: An Open-Source Embedded Programming Platform with a Dedicated Software Framework in Support of Ecosystems for Learning to Code

The concept of coding at school has enabled educators and parents around the globe to become interested in coding as, these days, coding is regarded as a gateway to computational thinking for children. However, coding education in Thailand appears to lag behind that of many other countries due to the lack of accessible coding learning resources suitable for students as well as the limited number of teachers with coding experience. Regarding these issues, we have developed an open-source hardware-based coding platform named KidBright, based on these requirements: 1. making coding simple for novice learners through the use of graphical blocks with Thai and English support; 2. inspiring young students to develop creative embedded applications with minimal effort; and 3. providing sustainable support for coding education. KidBright is proposed as a coding learning tool that can motivate children to learn to code and develop embedded system projects using its block-based coding environment, the KidBright IDE, in conjunction with its embedded device, the KidBright board. KidBright is distinguished from other embedded programming platforms due to the deployment of a dedicated software framework as the backend of the KidBright IDE. In this article, we introduce KidBright and present the design, architecture, and demonstrations of the software framework, the key roles of which are to conceal low-level hardware issues from learners and to enable makers to develop new command blocks and hardware peripherals in support of KidBright. We claim that, with this particular design, KidBright can help support coding education sustainably. In particular, we present how a small research team introduces coding to a large number of learners who have little or no coding experience, resulting in an impact on coding education in the country.

Verified compilation of Quantum oracles

Quantum algorithms often apply classical operations, such as arithmetic or predicate checks, over a quantum superposition of classical data; these so-called oracles are often the largest components of a quantum program. To ease the construction of efficient, correct oracle functions, this paper presents VQO, a high-assurance framework implemented with the Coq proof assistant. The core of VQO is OQASM, the oracle quantum assembly language. OQASM operations move qubits between two different bases via the quantum Fourier transform, thus admitting important optimizations, but without inducing entanglement and the exponential blowup that comes with it. OQASM’s design enabled us to prove correct VQO’s compilers—from a simple imperative language called OQIMP to OQASM, and from OQASM to SQIR, a general-purpose quantum assembly language—and allowed us to efficiently test properties of OQASM programs using the QuickChick property-based testing framework. We have used VQO to implement a variety of arithmetic and geometric operators that are building blocks for important oracles, including those used in Shor’s and Grover’s algorithms. We found that VQO’s QFT-based arithmetic oracles require fewer qubits, sometimes substantially fewer, than those constructed using “classical” gates; VQO’s versions of the latter were nevertheless on par with or better than (in terms of both qubit and gate counts) oracles produced by Quipper, a state-of-the-art but unverified quantum programming platform.

Enhanced Modbus/TCP Security Protocol: Authentication and Authorization Functions Supported.

The Zero Trust concept is being adopted in information technology (IT) deployments, while human users remain to be the main risk for operational technology (OT) deployments. This article proposes to enhance the new Modbus/TCP Security protocol with authentication and authorization functions that guarantee security against intentional unauthorized access. It aims to comply with the principle of never trusting the person who is accessing the network before carrying out a security check. Two functions are tested and used in order to build an access control method that is based on a username and a password for human users with knowledge of industrial automation control systems (IACS), using simple means, low motivation, and few resources. A man-in-the-middle (MITM) component was added in order to intermediate the client and the server communication and to validate these functions. The proposed scenario was implemented using the Node-RED programming platform. The tests implementing the functions and the access control method through the Node-RED software have proven their potential and their applicability.

Deterministic programming of human pluripotent stem cells into microglia facilitates studying their role in health and disease

Microglia, the resident immune cells of the central nervous system (CNS), are derived from yolk-sac macrophages that populate the developing CNS during early embryonic development. Once established, the microglia population is self-maintained throughout life by local proliferation. As a scalable source of microglia-like cells (MGLs), we here present a forward programming protocol for their generation from human pluripotent stem cells (hPSCs). The transient overexpression of PU.1 and C/EBPβ in hPSCs led to a homogenous population of mature microglia within 16 d. MGLs met microglia characteristics on a morphological, transcriptional, and functional level. MGLs facilitated the investigation of a human tauopathy model in cortical neuron-microglia cocultures, revealing a secondary dystrophic microglia phenotype. Single-cell RNA sequencing of microglia integrated into hPSC-derived cortical brain organoids demonstrated a shift of microglia signatures toward a more-developmental invivo-like phenotype, inducing intercellular interactions promoting neurogenesis and arborization. Taken together, our microglia forward programming platform represents a tool for both reductionist studies in monocultures and complex coculture systems, including 3D brain organoids for the study of cellular interactions in healthy or diseased environments.

Value-at-Risk Estimation Using an Interpolated Distribution of Financial Returns Series

Abstract This paper develops a model for estimating Value-at-Risk (VaR) from the historical return series. The proposed method uses spline interpolation to represent the empirical probability distribution of the return series. The approach developed in this paper is easy to implement using available programming platforms, and it can be generalized to other applications that involve estimating empirical distribution. In order to check the validity of the model, we use established back-testing methods and show that the model is robust to the changes in sample size and significance levels used to estimate VaR. We test the model against some similar distribution-based models using historical data from S&P500 index. We show that Value-at-Risk estimation based on the proposed method can outperform common historical, parametric, and kernel-based methods. As a result, the method can be useful in the context of validation of market risk models. JEL classification numbers: C52, C63, G17, G32. Keywords: Value-at-Risk, Non-parametric estimation, Empirical distribution, Spline Interpolation.

The demonstration device for remote light control via the Internet by using MQTT protocol and Dual-Chip ESP32

In this article, the primary purpose is to design and implement a remote light control example that makes use of the Arduino IDE platform for programming, the MQTT protocol, and an ESP32 microcontroller, which has a dual-core CPU as well as Wi-Fi and Bluetooth capabilities. This aspect is related to the Internet of Things (IoT), which allows any fundamental device to be linked and become a smart device via the application of the Internet. As a result, these devices can be operated from a significantly long-distance, eliminating the need to physically interact with the switches to turn them on or off. The first part of the paper is a discussion of the fundamental theory that is provided to examine the potential of remote control methods, followed by a short overview of the Arduino integrated development environment (IDE), MQTT communication protocol, and PWM technique to regulate the brightness of lights. The second section is devoted to hands-on work, such as setting up an environment connection over the Internet, compiling and designing a printed circuit board (PCB).

Leveraging Social Media to Enhance Recruitment Efforts in Fellowship Training Programs

Social media (SoMe) has become a prominent resource for the medical community because it provides an avenue for professional networking, collaboration, research dissemination, educational resources, and advocacy.1 The coronavirus disease-2019 pandemic expanded the use of SoMe, and the subsequent transition to virtual interviews created an opportunity for fellowship and other training programs across the globe to adapt recruitment strategies.2 SoMe became an integral platform for fellowship programs to highlight the mission, goals, culture, and strengths of their programs.

Vagus nerve stimulation in children with drug-resistant epilepsy of monogenic etiology

Vagus nerve stimulation (VNS) is an effective treatment for drug-resistant epilepsy (DRE). The present study evaluated the efficacy of VNS in pediatric patients with DRE of monogenic etiology. A total of 20 patients who received VNS treatment at our center were followed up every 3 months through outpatient visits or a remote programming platform. The median follow-up time was 1.4 years (range: 1.0–2.9). The rate of response to VNS at 12 months of follow-up was 55.0% (11/20) and the seizure-free rate was 10.0% (2/20). We found that 75.0% (3/4) of patients with an SCN1A variant had a >50% reduction in seizure frequency. Patients with pathogenic mutations in the SLC35A2, CIC, DNM1, MBD5, TUBGCP6, EEF1A2, and CHD2 genes or duplication of X q28 (MECP2 gene) had a >50% reduction in seizure frequency. Compared with the preoperative electroencephalography (EEG), at 6, 12, 18, and 24 months after stimulator implantation, the percentage of the patients whose background frequency increased >1.5 Hz was respectively, 15.0% (3/20), 50.0% (10/20), 58.3% (7/12) and 62.5% (5/8); the percentage of the patients whose interictal EEG showed a >50% decrease in spike number was respectively 10% (2/20), 40.0% (8/20), 41.6% (5/12) and 50.0% (4/8). In the 9 patients with no response to VNS treatment, there was no difference in terms of spike number and background frequency between preoperative and postoperative EEG. Five of the 20 children (25.0%) reached new developmental milestones or acquired new skills after VNS compared to the preoperative evaluation. The efficacy of VNS in pediatric patients with DRE of monogenic etiology is consistent with that in the overall population of pediatric DRE patients. Patients with Dravet syndrome (DS), tuberous sclerosis complex (TSC), or Rett syndrome/MECP2 duplication syndrome may have a satisfactory response to VNS, but it is unclear whether patients with rare variants of epilepsy-related genes can benefit from the treatment.

Telepalliation Facilitates a Sense of Security for Patients With Terminal Illnesses

Background Each year, an estimated 20 million people worldwide are in need of palliative care. The main diagnosis of people needing palliative care is cancer, followed by cardiovascular disease and chronical obstructive lung disease. The web-based telepalliation program and digital platform (offering video consultation, treatment planning, patient-reported outcomes, chat forum, and information on palliation) was developed through a participatory design process involving patients, their relatives, health care professionals, and researchers. Objective This study aimed to pilot-test the telepalliation program during the COVID-19 pandemic. Methods The case study is used as the overall method for the study. The theoretical framework is the Antonovsky “Sense of Coherence” theory. A triangulation of data collection techniques was used: documents (home pages and documents on palliative care) were studied; participant observation was carried out in patients’ homes (n=16 hours); and semistructured qualitative interviews were carried out with 3 women (ages 46-73 years) and 3 men (aged 64-80 years). Of the 6 patients, 4 were diagnosed with cancer and 2 with cardiovascular diseases. The interviews were recorded and analyzed. We followed 7 subjects and conducted 6 interviews; 1 patient dropped out due fatigue. Results Patients participating in the telepalliation program articulated their experiences in terms of the following themes: a sense of security; a sense of coherence; a feeling that the telepalliation platform facilitates continuity and better communication with health care professionals across sectors; a sense of easier access to the palliative team; and a feeling that their spouse and family were more integrated into the care process, because they could participate in difficult dialogues with the palliative team via video link. Conclusions Preliminary findings indicate that patients participating in a telepalliation program experience a sense of security, coherence in their care process, and integrated care across sectors for the individual patients. Further research is needed on the potential benefits and drawbacks of telepalliation.

An artistic analysis model based on sequence cartoon images for scratch

With the development of visual programming languages, researchers pay attention to the automatic evaluation of visual projects. Previous work focus on the code evaluation but ignored another essential part—the visualization results. Scratch is a widely used programming platform, and projects created on it are displayed in the form of cartoon clips. It is valuable to explore the visual aesthetics embodied in these clips to fill the gap in the assessment system. We propose a model that predicts the human view scores of cartoon clips created on Scratch. Our method is divided into two steps to evaluate the aesthetic of the sequence images that compose cartoon clips. First, we train an image classification network to predict the relative aesthetics of individual images. Then we construct an aesthetic space for the sequence image and improve the rating within a specific range. We put forward ScratchGAN to generate a Scratch-cartoon-style aesthetic analysis data set for training the classification network. Experimental results show that our Generative Adversarial Network framework can well transform photos into a Scratch-cartoon style. The single image assessment network can generate predictions that fit human cartoon aesthetic opinions. Our method achieves satisfactory results in the aesthetic evaluation of sequence cartoon images.

English Teaching Material Development Based on Tynker Program in Improving Fourth-Grade Students’ Vocabularies

In 21st-century learning, students must have access to communication, collaboration, critical thinking and problem solving, dan creativity, and innovation, including elementary students. Tynker is a platform for learning programming for kids that teaches them game design, web design, animation, and robotics. The study aimed to develop English teaching material based on the Tynker program to improve the vocabularies of fourth-grade elementary students. The subject of the study was 20 students in fourth grade in Zia Salsabila Private School. The researchers used Research and Development design in this study. The techniques of collecting data were observation, interview, and questionnaire. Furthermore, the researchers analyzed the data using descriptive qualitative and quantitative analysis. The result of the study showed that English teaching material based on the Tynker program improved students' motivation for vocabulary learning. Tynker-based teaching resources can be an alternate learning tool for fourth-grade elementary school pupils, particularly for developing vocabulary. The Tynker Program can help as a tool for learning English, but the researchers recommend using it with the proper learning resources. The teacher can download the Tynker program and develop their lesson plans using some of Tynker's topics. The teacher can use Tynker to give students resources for learning English and assist them in subjects where they feel learning English is difficult or dull.

Active Safety Surveillance of Four Types of COVID-19 Vaccines: A National Study from Jordan.

BackgroundAlthough the Pfizer-BioNTech (BNT162b2), Oxford-AstraZeneca (ChAdOx1 nCoV-19), Sinopharm (BBIBP-CorV), and Sputnik V coronavirus disease 2019 (COVID-19) vaccines have been granted emergency approval in many nations, their safety has never been studied and compared in one community-based study. This study aimed to investigate and compare the incidence, nature, severity, and predictors of adverse events following immunization (AEFIs) with COVID-19 vaccines.MethodThis was a prospective observational study conducted in Jordan between 1 January and 21 September 2021. A team of pharmacists and nurses (n = 407) collected the local and systemic AEFIs of four COVID-19 vaccines by prospectively contacting participants registered in the national vaccination program platform. A red-flag technology was inserted to classify and track rare and serious AEFIs.ResultsThis study included 658,428 participants who were vaccinated with 1,032,430 doses; 610,591, 279,606, 140,843, and 1390 participants received the first and second doses of the BNT162b2, BBIBP-CorV, ChAdOx1 nCoV-19, and Sputnik V vaccines, respectively. The overall incidence of AEFIs was 28.8%, and the overall rates of systemic, local, and immediate hypersensitivity AEFIs were 22.2%, 18.8%, and 0.5%, respectively. The highest proportions of immediate hypersensitivity AEFIs and systemic AEFIs were reported after administration of the Sputnik V vaccine and ChAdOx1 nCoV-19 first dose, respectively. The most severe AEFIs were reported after ChAdOx1 nCoV-19 first dose and BNT162b2 second dose. The hospitalization and mortality rates after vaccination were 20 in 10,000 and 1 in 10,000, respectively. Based on red-flag tracking, the top three outcome events were lymphadenopathy (157.9/100,000), anxiety disorders (136.6/100,000), and lower respiratory tract infection (100.9/100,000), with Guillain-Barré syndrome (1.8/100,000), vasculitis (3.0/100,000), and myopericarditis (4.8/100,000) being the least common.ConclusionThe incidence rates of local, systemic, and immediate hypersensitivity AEFIs of four COVID-19 vaccines occur frequently. High incidence rates of rare and serious AEFIs were reported in this study. Younger participants, females, those who had previously had COVID-19, and smokers were more likely to encounter AEFIs.Supplementary InformationThe online version contains supplementary material available at 10.1007/s40261-022-01191-1.

Research on License Plate Recognition Method Based on HALCON

With the rapid development and continuous improvement of image processing technology, the intelligent management of traffic management system for vehicles has accelerated the speed of road safety information, in which the car license plate as the identification of vehicle identity, the identification of its character information is the key to the license plate recognition system. In order to solve the problem of the traditional license plate recognition algorithm such as long development period, this study adopts the HALCON as a programming platform, the acquisition of image preprocessing to enhance image contrast, through the affine transformation to complete correction of tilt of the image, and at the completion of the design after character segmentation OCR based on neural network classifier to complete accurate recognition of Chinese characters, letters and Numbers. The experiment shows that the system has the ability to adapt to the environment and can recognize the license plate information efficiently and accurately.

Fast calculation of isostatic compensation correction using the GPU-parallel prism method

Isostatic compensation is a crucial component of crustal structure analysis and geoid calculations in cases of gravity reduction. However, large-scale and high-precision calculations are limited by the inefficiencies of the strict prism method and the low accuracy of the approximate calculation formula. In this study, we propose a new method of terrain grid re-encoding and an eight-component strict prism integral disassembly using a compute unified device architecture parallel programming platform. We use a fast parallel algorithm for the isostatic compensation correction, using the strict prism method based on CPU + GPU heterogeneous parallelization with efficient task allocation and GPU thread overloading procedure. The results of this study provide a rigorous, fast, and accurate solution for high-resolution and high-precision isostatic compensation corrections. To ensure an absolute calculation accuracy of 10−6 mGal, the maximum acceleration ratio of the calculation was set to at least 730 using one GPU and 2241 using four GPUs, which shortens the calculation time and improves the calculation efficiency.

Evaluation of Dietary Intake and Anthropometric Status in 1-9-Year-Old Children Living in Serbia: National Food Consumption Survey according to the EU Menu Methodology.

The Serbian Food Consumption Survey among 1–9-year-old-children was conceptualized and conducted in compliance with the principles, established protocols, and guidelines of the EU Menu project between 2017 and 2021. Valid data were collected for 576 individuals (290 1–3-year-old toddlers and 276 3–9-year-old children). Regardless of age and gender category, the majority (68.80%) of children had normal weights according to the Body Mass Index-for-age classification system. The median daily energy intake was 1406.71 kcal with no differences between the settlement types. The overall median contributions of carbohydrates, protein, and fat to the total energy intake were 47.54%, 14.06%, and 37.88%, respectively. The proportions of the macronutrient intake deviated from the dietary reference values with compliance to the recommendations being particularly poor for fat and fiber. The consumption of energy-dense food groups such as meat and meat products, fat and oil, sugar, and confections was more pronounced among older children. The survey results provide a valuable insight into the nutritional status and dietary habits of toddlers and children 1–9 years old living in Serbia. They may serve as an evidence platform for public health programs, a valuable asset for decision-makers, and a reliable reference to guide nutritional policies, diet monitoring, and interventions targeting this population group in the future.

Challenge of managing hepatitis B virus and hepatitis C virus infections in resource-limited settings.

The global burden of hepatitis B virus (HBV) and hepatitis C virus (HCV) infections and coinfection represents a major public health concern, particularly in resource-limited settings. Elimination of HCV by 2030 has become foreseeable, with effective direct-acting antiviral oral therapies and the availability of affordable generics in low-and-middle-income countries (LMICs). However, access to oral nucleos(t)ide therapy for HBV remains critical and is limited outside the existing global HIV program platforms despite affordable prices. Prevention of mother-to-child transmission of HBV through scaling up of birth dose implementation in LMICs is essential to achieve the 2030 elimination goal. Most individuals living with HBV and/or HCV in resource-limited settings are unaware of their infection, and with improved access to medications, the most significant barrier remains access to affordable diagnostics and preventive strategies. The coronavirus disease 2019 pandemic interrupted hepatitis elimination programs, albeit offered opportunities for improved diagnostic capacities and raised political awareness of the critical need for strengthening health care services and universal health coverage. This review underpins the HBV and HCV management challenges in resource-limited settings, highlighting the current status and suggested future elimination strategies in some of these countries. Global efforts should continue to improve awareness and political commitment. Financial resources should be secured to access and implement comprehensive strategies for diagnosis and linkage to care in resource-constrained settings to fulfill the 2030 elimination goal.

Dynamic Reduction-Based Virtual Models for Digital Twins—A Comparative Study

Digital models are the foundation of digital twins, which form the basis of autonomous off-road vehicles. Developing virtual models of off-road vehicles using dynamic reduction techniques is one of several approaches. The article commences with a comprehensive overview of the most widely used dynamic reduction methods and then introduces performance metrics for assessing their efficacies in the context of digital twins. The paper additionally includes a detailed mathematical derivation of the state-space representation for reduced-order finite element models. The state-space representation of the reduced finite element models facilitates their export to problem-solving environments for dynamic analysis. The state-space models are eventually solved utilizing the built-in libraries of numerical solvers in textual and graphical programming platforms. In addition, the article identifies the set of solvers that best suit the simulation of virtual models for off-road vehicles. This article also includes an evaluation of the simulation results for digital models with modes ranging from 0 to 30 Hz. In addition, the article demonstrates the lower bound of the frequency range necessary and sufficient to be retained in off-road vehicle virtual models. Finally, the paper presents the simulation outcomes for digital models of commercial off-road vehicles with custom-built virtual modules of powertrain, electrical, and control systems in a problem-solving environment.

Prevalence, Knowledge and Awareness of Pelvic Floor Disorder among Pregnant Women in a Tertiary Centre, Malaysia.

Pelvic floor disorders are common and of concern, as the majority of maternity healthcare providers seldom discuss this issue with patients compared to other antenatal issues. The aim of this study is to determine the prevalence and to assess the knowledge and awareness of pelvic floor disorder (PFD) among pregnant women in a tertiary centre in Malaysia. We also aim to assess the association between women’s risk factors regarding their knowledge and awareness of pelvic floor disorder so that primary prevention strategies can be planned, initiated and implemented in the future. This is a cross-sectional study with a total of four hundred twenty-four pregnant women that were recruited over a 6-month duration from May to November 2017 in a tertiary centre in Malaysia. The Pelvic Floor Distress Inventory (PFDI-20) was used to evaluate pelvic floor distress symptoms during pregnancy, namely urinary incontinence, pelvic organ prolapse and faecal incontinence. A validated Prolapse and Incontinence Knowledge Questionnaire (PIKQ), which consists of 24 items, was used to assess respondents’ knowledge about urinary incontinence (UI) and pelvic organ prolapse (POP). A total of 450 participants were approached, but 424 participants agreed to participate, showing a response rate of 94.3%. The median age was 31.5 years old, and 33.3% were primiparity. Overall, 46.1% of pregnant women had at least one symptom of pelvic floor disorder during pregnancy. Of these, 62.3% experienced urinary incontinence, 41.1% experienced symptoms of pelvic organ prolapse, and 37.8% experienced symptoms of faecal incontinence. The overall median score of PIKQ was 12.0 (8.0, 17.0). The median score for PIKQ—UI was 7.0 (5.0, 9.0) and the median score for PIKQ—POP was 6.0 (4.0, 8.0). There were 341 (80.4%) pregnant women that had a low level of knowledge in UI, and 191 (45.0%) had a low level of knowledge in POP. Having a tertiary level of education and receiving antenatal specialist care were both associated with better proficiency in both the PIKQ—UI (p < 0.001) and PIKQ—POP (p < 0.001) subscales. Pelvic floor disorder during pregnancy was common. A knowledge of pelvic floor disorder was lacking among pregnant women in this study. Having a tertiary education and receiving antenatal specialist care were both associated with better knowledge proficiency. This study hopefully serves as a basic platform for future educational programs to bridge the knowledge gaps in PFD among pregnant women.