Significant Deficiencies Research Articles

Lessons From the Household Humidifier Disinfectant Tragedy (HHDT) With Focus on the Chemical Poisoning Surveillance System: Review and Recommendation.

Lessons learned from the Household Humidifier Disinfectant Tragedy (HHDT) in Korea, which poisoned thousands of citizens over a period of years, necessitated an examination of national poison prevention and surveillance systems. The objectives of this study are to identify essential changes needed in chemical poisoning prevention regulations and surveillance systems for effective poison control by comparing recent trends in international poison control center (PCC) operations, and to delineate the critical elements for establishing a state-of-the-art poison control surveillance system in Korea based on recent advances in PCCs with toxicovigilance. A comprehensive review of Korea's regulatory and surveillance systems for chemical health hazards, with a focus on household products under the HHDT, was conducted. A review of toxicovigilance systems in major countries shows that creating an effective national PCC requires key elements: a centralized database of toxic substances and poisoning cases, mandatory or voluntary reporting of poisoning cases, real-time alerts, collaboration among health organizations, and targeted follow-up of poisoned individuals. Significant deficiencies in Korea's legislation, toxicological data management, and poisoning surveillance systems, explained the inadequate response of the Korean government to the HHDT for nearly 17 years until the end of 2011. Based on a review of PCC toxicovigilance systems in major countries, a national framework with five core components is recommended for establishing a modern comprehensive Korea PCC system with toxicovigilance capacity. The core components include establishment of a centralized database of toxic substances information and clinical poisoning cases, implementation of mandatory or permissive reporting of poisoning cases, real-time alert mechanisms, collaborative systems among health-related organizations, and clinical follow-up of poisoned sub-groups. A rationale and framework for a state-of-the-art national Korean PCC with toxicovigilance is justified and offered. This proposed system could assist neighboring countries in establishing their own sophisticated, globally integrated PCC networks.

Normal distribution of H3K9me3 occupancy co-mediated by histone methyltransferase BcDIM5 and histone deacetylase BcHda1 maintains stable ABA synthesis in Botrytis cinerea TB-31.

Abscisic acid (ABA) is a conserved and important "sesquiterpene signaling molecule" widely distributed in different organisms with unique biological functions. ABA coordinates reciprocity and competition between microorganisms and their hosts. In addition, ABA also regulates immune and stress responses in plants and animals. Therefore, ABA has a wide range of applications in agriculture, medicine and related fields. The plant pathogenic ascomycete B. cinerea has been extensively studied as a model strain for ABA production. Nevertheless, there is a relative dearth of research regarding the regulatory mechanism governing ABA biosynthesis in B. cinerea. Here, we discovered that H3K9 methyltransferase BcDIM5 is physically associated with the H3K14 deacetylase BcHda1. Deletion of Bcdim5 and Bchda1 in the high ABA-producing B. cinerea TB-31 led to severe impairment of ABA synthesis. The combined analysis of RNA-seq and ChIP-seq has revealed that the absence of BcDIM5 and BcHda1 has resulted in significant global deficiencies in the normal distribution and level of H3K9me3 modification. In addition, we found that the cause of the decreased ABA production in the ΔBcdim5 and ΔBchda1 mutants was due to cluster gene repression caused by the emergence of hyper-H3K9me3 in the ABA gene cluster. We concluded that the ABA gene cluster is co-regulated by BcDIM5 and BcHda1, which are essential for the normal distribution of the B. cinerea TB-31 ABA gene cluster H3K9me3. This work expands our understanding of the complex regulatory network of ABA biosynthesis and provides a theoretical basis for genetic improvement of high-yielding ABA strains.

Enhanced photocatalytic CO2 conversion over 0D/2D CsPbBr3/BiOCl S-scheme heterojunction via boosting charge separation.

The stable contact of heterogeneous interfaces and the substantial exposure of active sites are crucial for enhancing the photocatalytic performance of semiconductor catalysts. However, most reported two-dimensional (2D)/2D CsPbBr3 and BiOCl heterostructures are fabricated using electrostatic self-assembly methods, which exhibit significant deficiencies in precise interface quality control and effective active site exposure. In this study, we fabricate a zero-dimensional (0D)/2D CsPbBr3/BiOCl heterojunction via a two-step calcination method, achieving an efficient direct S-scheme configuration. Optimizing interfacial contact and band alignment between CsPbBr3 quantum dots and BiOCl nanosheets enhances cross-plane charge transfer, promoting superior charge separation. This 0D/2D CsPbBr3/BiOCl heterojunction exhibits enhanced carrier mobility and high conversion rates without cocatalysts or sacrificial agents. The mechanism underlying the accelerated S-scheme charge transfer is comprehensively elucidated through a combination of analytical techniques and density functional theory (DFT) calculations. This study offers a novel approach for managing charge carrier segregation and mobility in CO2 reduction photocatalysts.

Optimizing land mine detection across diverse mining environments: A hyperspectral data approach with regression models

The detection of landmines, namely anti-tank mines, explosive devices, and unexploded ordnance, is a formidable obstacle for the global community. The visible consequences of unobserved explosives in communities affected by war are characterized by significant devastation and human suffering. In order to effectively tackle this matter, it is imperative to use proactive strategies that focus on the identification and mitigation of these perilous substances prior to their potential infliction of harm. Nevertheless, the majority of current solutions exhibit significant deficiencies, such as exorbitant expenses, inefficiencies, and apprehensions over accuracy. These drawbacks are further compounded by the inherent trade-offs that exist between these elements, where improvements in one area often come at the expense of another. Contrarily, recent breakthroughs in the areas of deep learning, unmanned aerial vehicles, and sensor technologies are being recognized as potentially transformative elements in the domain of landmine identification and removal. This paper presents a thorough examination of recent scholarly investigations that integrate computerized technology in the field of landmine detection. To the extent of our current understanding, there has been no prior investigation that has thoroughly examined this particular domain. The main aim of this study is to investigate the incorporation of machine learning based regression methods in the field of landmine detection. The study specifically emphasizes the identification and resolution of existing issues that hinder the development of efficient automated solutions, hence enhancing performance optimization. The Sum of Sine Curve Fit Regression Model is proposed and proved a powerful and adaptable tool for extracting relevant information from this hyperspectral images.

Nurse prescribing and dispensing in South Africa: Gaps in the current legislative framework.

Nurse prescribing and dispensing are central to ensuring universal health access in South Africa. To describe the historical development of the legal enablements of nurse prescribing and dispensing in South Africa and highlight gaps in the current legislative framework. This is a discussion article. We emphasise significant deficiencies in the current legislative landscape that pose challenges to these vital nursing practices and call for urgent revisions of the legislative framework, particularly the revision of Section 56 of the Nursing Act (33 of 2005) and its related regulations, to formalise authorisation of specialist nurse prescribers in public and private practice. This will also entail an application to the South African Health Products Regulatory Authority (SAPHRA) for the scheduling of substances by authorised nurse prescribers in the defined professional nurse and specialist nurse categories by the Minister of Health. There is a necessity for prompt legislative revisions to address identified deficiencies. The contribution of this article lies in its advocacy for changes to the regulatory framework to further enable nurses to deliver safe and comprehensive health care.

Navigating regulatory landscape: A qualitative exploration of medical devices and in vitro diagnostic medical devices oversight in Zimbabwe through key stakeholder perspectives.

Medical devices and In Vitro Diagnostics (IVDs) are vital for public health and accessible healthcare. Still, there is an imbalance in high-quality products in Low and Middle-Income Countries (LMICs). Zimbabwe's regulatory framework for medical devices and IVDs is unclear, leading to ineffective compliance and surveillance. As a result, there are knowledge gaps regarding pre-market and post-market regulatory elements to ensure the safety, quality and performance of medical devices and IVDs used in Zimbabwe. Our study aimed to explore the current status of medical devices and IVD regulations in Zimbabwe. Semi-structured interviews were conducted with 12 regulators from the Medicines Control Authority of Zimbabwe (MCAZ) National Microbiology Reference Laboratory (NMRL), Medical Laboratory and Clinical Scientists Council (MLCScCZ) to understand the current status of medical devices and IVD regulations in Zimbabwe. Three participants completed a questionnaire to understand the regulatory landscape in Zimbabwe. Three key informant interviews were conducted with three regulators from the South African Health Products Regulatory Authority (SAHPRA), Tanzanian Medicines and Medical Devices Authority (TMDA), and World Health Organization Regulatory Systems Strengthening (WHO RSS) to learn best practices to create a roadmap for Zimbabwe. We analyzed qualitative data using a thematic analysis. The findings reveal significant deficiencies and gaps in the legal framework for regulating medical devices and IVDs, highlighting the need for a legal framework and the absence of more comprehensive regulations. Regulatory entities face capacity limitations, especially in regulating medical devices and IVDs. Conformity assessment processes, medical devices, IVD classification criteria, and post-market surveillance also represent challenges, highlighting the need for a well-defined framework and regulatory procedures. The Zimbabwean regulatory system pathway is reactive, prompting several regulatory initiatives to address needs. Despite facing challenges, there is recognition of the importance of collaboration among regulatory authorities, emphasizing a shared commitment to improving and strengthening medical devices and IVD regulations for improved patient safety. By advocating for a proactive, comprehensive, and legally sound approach, indicating the potential for collaboration and synergy, this study provides a foundation for well-informed policy recommendations to guide enhancements and build a framework for a resilient, efficient, and transparent regulatory environment in the Zimbabwe and African regions as a whole.

Generative AI Solutions for Faculty and Students: A Review of Literature and Roadmap for Future Research

Aim/Purpose: This paper aims to address the gap in comprehensive, real-world applications of Generative Artificial Intelligence (GenAI) in education, particularly in higher education settings. Despite the evident potential of GenAI in transforming educational practices, there is a lack of consolidated knowledge about its practical effectiveness and real-world impact. Background: This study addresses this gap by conducting a systematic literature review to collate and analyze real-life instances of GenAI applications in higher education, thus providing a nuanced understanding of its practical implementations and measurable outcomes. Methodology: The paper utilizes a systematic literature review methodology, adopting the PRISMA approach complemented by a thematic analysis procedure to ensure a comprehensive and in-depth evaluation of the literature. It synthesizes information from relevant articles from 2022 to 2024, focusing on the applications of GenAI in higher education. This analysis covers various aspects, including research settings, analysis scales, data types, collection tools, and analytical methods. Contribution: The paper contributes to the academic community by offering a comprehensive review of GenAI applications in education, highlighting the current precision level of these tools, and providing strategic recommendations for their effective use in academia. Furthermore, the research defines seven specific cases where Gen AI can be utilized as a reference for educational institutions in their adoption strategies. Findings: Key findings include the versatility of GenAI in generating teaching materials, enhancing skill development, supporting student tasks, academic performance evaluation, feedback delivery, and its role as a virtual assistant and in research support. Recommendations for Practitioners: Practitioners are advised to explore the integration of GenAI for diverse educational purposes, from content creation to student assessment, while being cognizant of its limitations and ethical considerations. Recommendation for Researchers: Future research should focus on addressing the gaps identified, such as the implications of GenAI in research roles, its application in various disciplines, and the exploration of newly developed AI tools tailored to specific educational needs. Impact on Society: The findings of this paper highlight the potential of GenAI in revolutionizing the educational sector, offering personalized learning experiences, and significantly influencing teaching methodologies and student engagement, but it also reveals significant deficiencies of Generative AI, known as hallucinations, which can impact the expected results. Future Research: Subsequent research should explore the evolving capabilities of GenAI models, their impact on various academic disciplines, and the development of pedagogical strategies to optimize their use in education.

The impact of risk management on organizations: A literature review

Events in the early years of the 21st century, such as the Enron and WorldCom scandals and the financial crises, revealed significant deficiencies in existing control processes and the difficulties companies had in structuring robust risk management models. With the advent of COSO ERM, ISO 31000 and the Sarbanes Oxley Act –as the main frameworks for holistic risk management models– the aim was for organizations to improve their ability to achieve their strategic objectives through activities that manage uncertainty and, above all, create and sustain organizational value. The purpose of this paper is to review the research on the effectiveness of risk management in organizations by reviewing the literature in Scopus and Web of Science. This review shows that the research is not conclusive regarding the real impact generated by risk management systems and their contribution to value creation and increase in financial profitability. It also shows that there is an interesting gap for future research, considering that many of the studies that have been carried out have a special emphasis on the financial sector, neglecting other equally important economic sectors.

Teachers' Knowledge and Experience on Trauma: A Qualitative Evaluation

In this study, the knowledge and experiences of teachers working in schools regarding the traumas experienced by children were investigated. The study group of this research, which is based on a qualitative research design, was determined by purposive sampling and consists of 88 teachers working in secondary and high schools. The thematic analysis method was used in the analysis of the data. As a result of the analysis, four main themes and many sub-themes were determined, which represent the knowledge and experience of teachers about trauma, the effects of trauma on the teacher's life functions, obstacles to trauma intervention, and recommendations for the future. As a result, it was observed that teachers had significant educational and equipment deficiencies in both trauma knowledge and trauma intervention, as well as having experiences with student traumas. As a result, it can be said that increasing the knowledge and intervention skills of teachers about trauma will be an important approach.

Teacher Digital Competence Analysis in Block Programming Applied to Educational Robotics

This research aims to analyze digital teaching competence in the field of block programming applied to educational robotics among active primary education teachers. The research methodology employed is defined as descriptive and exploratory. We gathered quantitative data through a structured questionnaire, reflecting the level of digital competence of the participating teachers. The results obtained from this study reveal significant deficiencies in the development of teaching digital competence, especially in the areas of robotics and educational programming. Importantly, the teachers in the sample exhibit a high level of knowledge in active pedagogies. In conclusion, we highlight the need to design training and professional development programs that enhance the digital competence of active primary education teachers, with an emphasis on training schemes geared towards robotics and educational programming.

'Stop the Boats' Plan: The Most Appropriate Solution for the Current UK

The 'Stop the Boats' plan serves to address the increasing number of illegal asylum seekers arriving at the UK's national borders. Following the public release of this plan, there has been a considerable outbreak of negative responses, criticising it as an act of anti-humanitarianism, with certain legal challenges and high financial costs. Nevertheless, a thorough analysis reveals that none of these critiques is relevant in the political realm. To further demonstrate the efficacy of the 'Stop the Boats' initiative, two alternative policies have been evaluated. One is to accept part of or all illegal asylum seekers and another one is a reject-all approach. However, both alternatives have been found to be less appropriate due to a number of significant deficiencies that affect multiple aspects beyond what can be avoided. Hence, the 'Stop the Boats' plan, which is seeking a balance between the two polar situations, has been proven to be the most feasible asylum plan for the current circumstances.

СОВРЕМЕННЫЕ ВОЗМОЖНОСТИ ЛЕЧЕБНОГО ПИТАНИЯ ПАЦИЕНТОВ С ДЕТСКИМ ЦЕРЕБРАЛЬНЫМ ПАРАЛИЧОМ ПРИ НАРУШЕНИЯХ НУТРИТИВНОГО СТАТУСА

With the purpose of successful rehabilitation, reduction of concomitant diseases, improvement of nutritional status and the quality of life of patients with cerebral palsy (CP) it is necessary to develop therapeutic nutrition technology, which would include methods for nutritional status assessment, choosing of enteral nutrition formulas, methods of their delivery and the duration of nutritional support. The purpose of this research was to substantiate the nutritional support for patients with CP. Materials and methods used: 98 children aged 2 to 16 years and 9 months old (Me 5.7 y/o) with a spastic form of CP that had been admitted for examination, treatment and rehabilitation at the National Medical Research Center for Children’s Health (Moscow, Russia) were examined. Depending on the level of motor activity calculated with GMFCS, the participants were divided into two groups: G1 of 51 (52%) with severe motor impairment (GMFCS IV to V) and G2 of 47 (48%) with mild and moderate motor impairment (GMFCS I to III). Clinical and anamnestic data, information about the severity and the course of the disease, concomitant pathology were analyzed as well as the anthropometric data (Z-scores: weight/age, height/age, BMI/age) using the WHO AnthroPlus application (2009 revision). EDACS survey had also been carried out. Results: Patients with severe motor impairments were significantly more likely to have problems associated with food intake, such as: prolonged feeding (over 30 minutes), predominance of semi-liquid and pureed food in the diet as well as frequent choking, vomiting, wheezing and coughing during the feeding process. All patients in this group needed external assistance in feeding. 75% had respiratory and 72% had gastrointestinal complications. Severe impairments (EDACS IV to V) characterized by significant restrictions on food safety were identified in 24 (23%) children, that met statistically significantly (p<0.001) more often in patients from G1 than from G2 (41% vs. 4%, respectively). Dietary analysis children with CP had showed that the quality and quantity of food consumed were monotonous and deficient. Consumption of pasta, cereals, and baking was 1.5 times higher than recommended whilst vegetables, fruits and healthy dairy products were reduced by 3 and 1.8 times, respectively, on the contrary. The WHO recommendations for children on the mandatory daily intake of 3 to 4 servings of various vegetables and fruits were not followed: in the majority (80%) of cases they’ve only had it once per day, and they even were completely absent in some cases. Nutritional assessment revealed that patients with severe movement disorders, regardless of the gender and nutritional status, had significant deficiencies in energy and protein intake. All studied anthropometric indicators in G1 patients were significantly (p<0.005) lower compared to G2 children. Prevalence of undernutrition was 72% and 32% (p<0.001), respectively. Individual nutritional program was developed for each and every studied patient with identified malnutrition and oropharyngeal dysphagia, followed by its clinical effectiveness assessment. Conclusion: enteral nutritional support with specialized formulas based on both whole and hydrolyzed proteins using the sipping/gastrostomy method, as well as with the use of a food and liquids thickeners, proved to be highly effective in the treatment and rehabilitation of CP children. Indicators characterizing food intake (time taken for feeding, frequency of choking records during meals, episodes of vomiting and regurgitation) have improved as well as the anthropometric indicators improved accordingly.

Triage Accuracy in Pediatrics Using the Emergency Severity Index

IntroductionAlthough the Emergency Severity Index is the most widely used tool in the United States to prioritize care for patients who seek emergency care, including children, there are significant deficiencies in the tool’s performance. Inaccurate triage has been associated with delayed treatment, unnecessary diagnostic testing, and bias in clinical care. We evaluated the accuracy of the Emergency Severity Index to stratify patient priority based on predicted resource utilization in pediatric emergency department patients and identified covariates influencing performance. MethodsThis cross-sectional, retrospective study used a data platform that links clinical and research data sets from a single freestanding pediatric hospital in the United States. Chi-square analysis was used to describes rates of over- and undertriage. Mixed effects ordinal logistic regression identified associations between Emergency Severity Index categories assigned at triage and key emergency department resources using discrete data elements and natural language processing of text notes. ResultsWe analyzed 304,422 emergency department visits by 153,984 unique individuals in the final analysis; 80% of visits were triaged as lower acuity Emergency Severity Index levels 3 to 5, with the most common level being Emergency Severity Index 4 (43%). Emergency department visits scored Emergency Severity Index levels 3 and 4 were triaged accurately 46% and 38%, respectively. We noted racial differences in overall triage accuracy. DiscussionAlthough the plurality of patients was scored as Emergency Severity Index 4, 50% were mistriaged, and there were disparities based on race indicating Emergency Severity Index mistriages pediatric patients. Further study is needed to elucidate the application of the Emergency Severity Indices in pediatrics using a multicenter emergency department population with diverse clinical and demographic characteristics.

Sustainability Consciousness Research Trends: A Bibliometric Analysis

Sustainability consciousness (SC) is a crucial determinant for the successful execution of sustainability initiatives. The changing of citizens’ knowledge, attitudes, and behaviors is an essential component in attaining sustainable development (SD). Ensuring a sustainable future hinges on cultivating a durable sense of awareness among citizens. The aim of this article is to present a systematic literature review (SLR) on SC and to reveal the research trends and future perspectives. The data were obtained from the Web of Science (WoS) database and the data analysis of 49 articles selected based on determined criteria was carried out with two approaches: bibliometric and content analysis. The analysis reveals that publications pertaining to the topic of SC have emerged mainly within the past decade, with a maximum annual publication count of nine. The analyzed publications were categorized into four primary themes: (1) SC through education for sustainable development (ESD), (2) SC of consumers, (3) SC in business, and (4) measurement tools for SC. Education and educational research emerged as the primary field of study, with students being selected as the focus of research. However, research has indicated that even among children who receive SC education, there may be a decline in SC levels over a period. The attainment of the United Nations’ Sustainable Development Goals (SDGs) necessitates a society characterized by a high level of SC. The scope of SC should extend beyond educational institutions to encompass broader societal contexts, including corporations and professional environments. The findings of this study demonstrate significant deficiencies in the existing literature on SC and emphasize the significance of SC in attaining the UN SDGs.

Investigating student collaborative problem-solving competency and science achievement with multilevel modeling: Findings from PISA 2015

Collaborative problem-solving (CPS) competency is critical for 21st century students. However, reports from the Programme for International Student Assessment (PISA) 2015 have revealed significant deficiencies in this competency among young students globally, indicating a critical need for the cultivation of CPS skills. Therefore, it is essential for educators and researchers to examine the factors that influence CPS competency and understand the potential role of CPS in secondary education. The present study aims to investigate the relationship between collaboration dispositions and students’ CPS competency as well as the relationships of CPS competency and inquiry-based science instruction (IBSI) with science achievement using the PISA 2015 data. A total of 408,148 students from 52 countries and economies (i.e., regions) were included in our analysis. Unlike most previous studies that only investigated one country at a time and neglected the multilevel data structure of PISA, this study provided a global view through adopting multilevel modeling to account for the cluster effect at the school and country levels. Our findings revealed that valuing relationship was positively associated with CPS, whereas valuing teamwork was negatively associated with CPS. Furthermore, CPS competency was found to be a dominant and positive predictor of science achievement among all study variables, underscoring the importance of integrating CPS into teaching practices to promote student success in science. Additionally, different IBSI activities show varying relationships with science achievement, indicating that caution should be taken when recommending any specific practices associated with IBSI to teachers.

Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis.

Hospital apps are increasingly being adopted in many countries, especially since the start of the COVID-19 pandemic. Web-based hospitals can provide valuable medical services and enhanced accessibility. However, increasing concerns about personal information (PI) and strict legal compliance requirements necessitate privacy assessments for these platforms. Guided by the theory of contextual integrity, this study investigates the regulatory compliance of privacy policies for internet hospital apps in the mainland of China. In this paper, we aim to evaluate the regulatory compliance of privacy policies of internet hospital apps in the mainland of China and offer recommendations for improvement. We obtained 59 internet hospital apps on November 7, 2023, and reviewed 52 privacy policies available between November 8 and 23, 2023. We developed a 3-level indicator scale based on the information processing activities, as stipulated in relevant regulations. The scale comprised 7 level-1 indicators, 26 level-2 indicators, and 70 level-3 indicators. The mean compliance score of the 52 assessed apps was 73/100 (SD 22.4%), revealing a varied spectrum of compliance. Sensitive PI protection compliance (mean 73.9%, SD 24.2%) lagged behind general PI protection (mean 90.4%, SD 14.7%), with only 12 apps requiring separate consent for processing sensitive PI (mean 73.9%, SD 24.2%). Although most apps (n=41, 79%) committed to supervising subcontractors, only a quarter (n=13, 25%) required users' explicit consent for subcontracting activities. Concerning PI storage security (mean 71.2%, SD 29.3%) and incident management (mean 71.8%, SD 36.6%), half of the assessed apps (n=27, 52%) committed to bear corresponding legal responsibility, whereas fewer than half (n=24, 46%) specified the security level obtained. Most privacy policies stated the PI retention period (n=40, 77%) and instances of PI deletion or anonymization (n=41, 79%), but fewer (n=20, 38.5%) committed to prompt third-party PI deletion. Most apps delineated various individual rights, but only a fraction addressed the rights to obtain copies (n=22, 42%) or to refuse advertisement based on automated decision-making (n=13, 25%). Significant deficiencies remained in regular compliance audits (mean 11.5%, SD 37.8%), impact assessments (mean 13.5%, SD 15.2%), and PI officer disclosure (mean 48.1%, SD 49.3%). Our analysis revealed both strengths and significant shortcomings in the compliance of internet hospital apps' privacy policies with relevant regulations. As China continues to implement internet hospital apps, it should ensure the informed consent of users for PI processing activities, enhance compliance levels of relevant privacy policies, and fortify PI protection enforcement across the information processing stages.

Carotenoids in familial hypobetalipoproteinemia disorders: Malabsorption in Caco2 cell models and severe deficiency in patients

Familial hypobetalipoproteinemias (FHBL) are rare genetic diseases characterized by lipid malabsorption. We focused on abetalipoproteinemia (FHBL-SD1) and chylomicron retention disease (FHBL-SD3), caused by mutations in microsomal triglyceride transfer protein (MTTP) and SAR1B genes, respectively. Treatments include a low-fat diet and high-dose fat-soluble vitamin supplementations. However, patients are not supplemented in carotenoids, a group of lipid-soluble pigments essential for eye health. Our aim was to evaluate carotenoid absorption and status in the context of hypobetalipoproteinemia. We first used knock-out Caco-2/TC7 cell models of FHBL-SD1 and FHBL-SD3 to evaluate carotenoid absorption. We then characterized FHBL-SD1 and FHBL-SD3 patient status in the main dietary carotenoids and compared it to that of control subjects. In vitro results showed a significant decrease in basolateral secretion of α- and β-carotene, lutein, and zeaxanthin (-88.8 ± 2.2 % to -95.3 ± 5.8 %, -79.2 ± 4.4 % to -96.1 ± 2.6 %, -91.0 ± 4.5 % to -96.7 ± 0.3 % and -65.4 ± 3.6 % to -96.6 ± 1.9 %, respectively). Carotenoids plasma levels in patients confirmed significant deficiencies, with decreases ranging from -89 % for zeaxanthin to -98 % for α-carotene, compared to control subjects. Given the continuous loss in visual function despite fat-soluble vitamin treatment in some patients, carotenoid supplementation may be of clinical utility. Future studies should assess the correlation between carotenoid status and visual function in aging patients and investigate whether carotenoid supplementation could prevent their visual impairment.

High School Students’ and Parents’ Perceptions of the Nature of Science

Today, only people, who truly understand what scientific knowledge is and how it is obtained, are considered scientifically literate. This understanding expected in today’s scientific areas is called the nature of science (NOS). This study aimed to determine the perceptions of high school students and their parents regarding NOS. In addition, the changes in high school students’ and their parents’ perceptions of NOS according to various variables were examined. The data of the research were collected in the second semester of the 2021-2022 academic year. The research involves students and their parents studying in high schools in Konya, a Central Anatolian province of Turkey. The sample group of the research consists of 428 high school students and 428 of their parents. “NOS Questionnaire as Argumentation (NSAAQ)” developed by Sampson and Clark (2006) and translated into Turkish by Çetin et al. (2010) was used. As the results showed, students’ perceptions of NOS did not differ significantly according to gender, grade level, place of residence, and average monthly income of the family. Only in the first dimension (How do you define scientific knowledge?) was there a significant difference between parents in favor of men. However, this difference had a low effect size. On the other hand, the fact that parents with higher education had average score and the existence of a significant linear correlation between NOS perceptions of students and their parents were two noteworthy findings. From this perspective, it can be said that today’s formal education process in Turkey has significant deficiencies in terms of a more advanced understanding of NOS. In summary, it is clear that the desired development has not been achieved in the perceptions of high school students regarding NOS in formal education in Turkey.

CO Laser Absorption Measurements During Syngas Combustion at High Pressure

Abstract Syngas is a desirable fuel for combustion in the Allam-Fetvedt cycle, which involves combustion under supercritical-CO2 conditions. While some work has been conducted in collecting ignition delay times (IDT) at the extreme pressures required by these systems, significant model deficiencies remain. Additionally, considerable barriers in terms of nonideal gas dynamic effects have been shown for these experiments in shock tubes. Further investigation into the fundamental combustion kinetics of H2/CO/CO2 mixtures is required. Time-resolved speciation measurements for target species have been shown to better aid in improving the understanding of underlying chemical kinetics than global ignition delay time measurements. Therefore, laser absorption measurements of CO were measured behind reflected shock waves during combustion of syngas at 5 and 10 bar and temperatures between 1080 and 2100 K. The mixtures investigated utilized H2-to-CO ratios of 1:1 and 1:4, respectively, each at stoichiometric conditions, allowing for discussions of the effect of initial fuel composition. A ratio of fuel to CO2 of 1:2 was also utilized to represent commercially available syngas. The mixtures were diluted in helium and argon (20% He, 76.5% Ar) to minimize thermal effects and to expedite CO thermal relaxation during the experiment. The resulting CO time histories were then compared to modern chemical kinetics mechanisms, and disagreement is seen for this system, which is assumed to be fairly well known. This study elucidates particular chemistry that needs improvement in moving toward a better understanding of syngas combustion at elevated pressures.

Question Classification for Intelligent Question Answering: A Comprehensive Survey

In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding and answering questions accurately. The core of IQA is the Question Classification (QC), which mainly contains four types: content-based, template-based, calculation-based and method-based classification. These IQA_QC frameworks, however, struggle to be compatible and integrate with each other, which may be the bottleneck restricting the substantial improvement of IQA performance. To address this problem, this paper reviewed recent advances on IQA with the focus on solving question classification and proposed a comprehensive IQA_QC framework for understanding user query intention more accurately. By introducing the basic idea of the IQA mechanism, a three-level question classification framework consisting of essence, form and implementation is put forward which could cover the complexity and diversity of geographical questions. In addition, the proposed IQA_QC framework revealed that there are still significant deficiencies in the IQA evaluation metrics in the aspect of broader dimensions, which led to low answer performance, functional performance and systematic performance. Through the comparisons, we find that the proposed IQA_QC framework can fully integrate and surpass the existing classification. Although our proposed classification can be further expanded and improved, we firmly believe that this comprehensive IQA_QC framework can effectively help researchers in both semantic parsing and question querying processes. Furthermore, the IQA_QC framework can also provide a systematic question-and-answer pair/library categorization system for AIGCs, such as GPT-4. In conclusion, whether it is explicit GeoAI or implicit GeoAI, the IQA_QC can play a pioneering role in providing question-and-answer types in the future.