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Hai Huu Hoang,1,* Anh Thi Ngoc Tran,2,* Van Hung Nguyen,3 Thi Thanh Binh Nguyen,4 Thi Anh Phuong Nguyen,5 Dinh Duong Le,3 Alfred Jatho,6 David Onchonga,7 Tuyen Van Duong,8 Minh Tu Nguyen,9 Binh Thang Tran3 1Student’s Affairs Office, Hue University of Medicine and Pharmacy, Hue University, Hue City, Vietnam; 2Institute of Gastroenterology and Hepatology, Hanoi, Vietnam; 3Faculty of Public Health, Hue University of Medicine and Pharmacy, Hue University, Hue City, Vietnam; 4Department of Paediatrics, Hue University of Medicine and Pharmacy, Hue University, Hue City, Vietnam; 5Faculty of Nursing, Hue University of Medicine and Pharmacy, Hue University, Hue City, Vietnam; 6Department of Cancer Control and Population Health, Graduate School of Cancer Science and Policy, National Cancer Center, Goyang, Republic of Korea; 7Doctoral School of Health Sciences, University of Pécs, Pécs, Hungary; 8School of Nutrition and Health Sciences, Taipei Medical University, Taipei, 110-31, Taiwan; 9Undergraduate Training Office, Hue University of Medicine and Pharmacy, Hue University, Hue City, Vietnam*These authors contributed equally to this workCorrespondence: Binh Thang TranFaculty of Public Health, Hue University of Medicine and Pharmacy, Hue University, 06 Ngo Quyen Street, Hue City, Thua Thien Hue, VietnamEmail tranbinhthang@hueuni.edu.vnPurpose: Attention deficit hyperactivity disorder (ADHD) is a mental health disorder commonly in children. This study aimed to examine the prevalence of ADHD and risk factors among first-year pupils in Vietnam’s urban city.Patients and Methods: A cross-sectional study was conducted in four randomly selected primary schools. Information on 525 pupils in grade 1 (ages 6 to 7 years) was collected from 525 parents/caregivers and 28 teachers. We used the Vanderbilt Assessment Scales with two separate versions for parents and teachers to screen children with ADHD symptoms.Results: Among the total of 525 pupils, 24 (4.6%) were found to have ADHD symptom types (boy: 6.5%; girl: 2.1%). The combined ADHD type accounted for the highest proportion of 3.4%, followed by predominantly inattentive and predominantly hyperactivity type. ADHD prevalence rated by teachers was higher than those rated by parents. High agreement between parents and teachers was reported (κ > 0.6). The risk of ADHD increased in male participants (aOR=4.90, 95% CI 1.51– 15.85), those having a first-degree relative with ADHD (aOR=85.2, 95% CI 1.66– 4371.8), in-utero exposure to tobacco smoke (aOR=4.78, 95% CI 1.31– 17.44), and prenatal alcohol drinking (aOR=8.87, 95% CI 2.29– 34.42).Conclusion: These findings suggest the importance of ADHD screening for pupils attending elementary schools, particularly those with a family history of ADHD. Public health programs should reduce prenatal exposure to the potential risk factors of ADHD (smoking and alcohol consumption).Keywords: attention deficit hyperactivity disorder, ADHD, school health, children, risk factors, Vietnam

This research presents a blended system implemented by the Vietnam National Center for Hydro-Meteorological Forecasting to enhance the nowcasting and forecasting services of quantitative precipitation forecasts (QPFs) of tropical cyclone (TC) landfalls on Vietnam’s coast. Firstly, the extrapolations of rain/convective systems from multiple radars in Vietnam in ranges up to 6 h were carried out using Short-Range Warning of Intense Rainstorms in Localized Systems (SWIRLS) developed by the Hong Kong Observatory. Secondly, the forecast from the numerical weather prediction (NWP) system, based on the WRF-ARW model running at 3 km horizontal resolution, was blended with radar-based quantitative precipitation estimates and nowcasts of SWIRLS. The analysis showed that the application of the nowcast system to TC-related cloud forms is complicated, which is related to the TC’s evolution and the different types and multiple layers of storm clouds that can affect the accuracy of the derived motion fields in nowcast systems. With hourly accumulated rainfall observation, skill score validation conducted for several TCs that landed in the center of Vietnam demonstrated that the blending of nowcasting and NWP improve the quality of the QPFs of TCs in forecast ranges up to 3 h compared to the pure NWP forecasts.

Novel (80Li2S − 20AlI3)·yLiI composite solid electrolytes (y = 5, 10, 15) were prepared by mechannochemical synthesis. XRD results showed that the pattern of 80Li2S − 20AlI3 was similar to that of AlI3, which means that Li2S was dissolved in AlI3 matrix during preparation. This structure was still maintained after LiI addition. The current measured at constant applied DC voltage indicated that (80Li2S − 20AlI3)·yLiI composites are intrinsically pure Li-ion conductors. The ionic conductivity at 25 °C of y = 10 was about 2.3 × 10−4 Scm−1, which was about three times higher than that of y = 0. The conductivity of y = 10 increased 20 times to 2.2 × 10−3 Scm−1 at 70 °C. These values were highest among those observed from Li2S-based materials. It was revealed that Li-ion moves in 80Li2S − 20AlI3 by a hoping mechanism, while the lattice dipoles are the origin of Li-ion movement in (80Li2S − 20AlI3)·yLiI. The polarization measurements using Liǀ90 (80Li2S − 20AlI3)·10LiI ǀLi and LiǀLi6PS5Clǀ90 (80Li2S − 20AlI3)·10LiIǀLi6PS5ClǀLi cells proved that 90 (80Li2S − 20AlI3)·10LiI reacts with Li metal, but it is relatively stable at a low voltage. Sample y = 10 was also employed as a solid electrolyte in the positive electrode of a solid-state Li-S battery to study its stability in the voltage range of the positive electrode. CuS and Li4.4Si were the electrode-active materials. The cell was cycled in CC-CV mode at 1.0 mA cm−2 (CC) with a cut-off voltage of 1.0–2.3 V. The cell delivered a stable capacity of about 400 mAh g−1CuS after 40 cycles.

Van Linh Ho,1 Nhu Hien Pham,2 Thanh Xuan Nguyen,2 An Phong Tran,1 Nhu Thanh Dang,3 Nhu Hiep Pham1 1Digestive Surgery Department, Hue Central Hospital, Hue City, Vietnam; 2Department of Abdominal Emergency and Pediatric Surgery, Hue Central Hospital, Hue City, Vietnam; 3Surgery Department, Hue University of Medicine and Pharmacy, Hue City, VietnamCorrespondence: Thanh Xuan NguyenDepartment of Abdominal Emergency and Pediatric Surgery, Hue Central Hospital, 16 Le Loi Street, Hue City, VietnamTel +84945313999Email thanhxuanbvh@hotmail.comObjective: This study aims to explore the short-term results of hepatectomy with Takasaki’s technique using Sonastar ultrasonic aspiration system.Materials and Methods: We retrospectively examined data of 58 patients who underwent hepatectomy with Takasaki’s technique using Sonastar ultrasonic aspiration system at Hue Central Hospital from 01/2018 to 02/2021.Results: The mean age was 60.7 ± 10.5 years (25– 80) and the male/female ratio was 6:1. Patients with solitary tumor accounted for 79%; 68.4% had tumor size greater than 5 cm. Pringle maneuver was used in 57.9%, while selective right or left Glissonean pedicle occlusion was used in 69.0% and 32.8%, respectively. Final transection surface reinforcement was achieved by Surgicel and BioGlue in 78.9% and 21.5% of cases, respectively. Major liver resection accounted for 73.7%. The mean parenchymal transection time was 50 (45– 110) minutes, while mean total operative time was 125 (90– 280) minutes. Mean operative blood loss was 250 (150– 650) mL. Mean post-operative hospital stay was 8 days (7– 23). Post-operative complication rate was 15.9% and mortality rate was 1.7%.Conclusion: Hepatectomy using Takasaki technique with Sonastar ultrasonic aspiration system is safe, effective, allowing an anatomical resection with sufficient safety margin and resulting in low complication rates (liver failure, biliary leakage) and good survival outcomes.Keywords: liver tumor, SonaStar, Takasaki’s technique

The automation and improvement of nano-scale electron microscopy imaging technologies have expanded a push in neuroscience to understand brain circuits at the scale of individual cells and their connections. Most of this research effort, called ‘connectomics’, has been devoted to handling, processing, and segmenting large-scale image data to reconstruct graphs of neuronal connectivity. However, connectomics datasets contain a wealth of high-resolution information about the brain that could be leveraged to understand its detailed anatomy beyond just the connections between neurons, such as cell morphologies and distributions. This study introduces a novel visualization system, ZeVis, for the interactive exploration of a whole larval zebrafish brain using a terabyte-scale serial-section electron microscopy dataset. ZeVis combines 2D cross-sectional views and 3D volumetric visualizations of the input serial-section electron microscopy data with overlaid segmentation results to facilitate the analyses of various brain structures and their interpretations. The system also provides a graph-based data processing interface to generate subsets of feature segmentation data easily. The segmentation data can be filtered by morphological features or anatomical constraints, allowing statistical analysis and comparisons across regions. We applied ZeVis to actual data of a terabyte-scale whole-brain larval zebrafish and analyzed cell nucleus distributions in several anatomical regions.

Highway-railway grade crossings are an important part of the transportation system. It allows two types of vehicles to operate in the same areas. Researchers have previously studied the grade crossings, but research on the monolithic prestressed concrete slab (PSCS) track at grade crossings for 1,000mm gauge is limited. At present, there are many types of grade crossing structures that are using in Vietnam. However, these structures still have many disadvantages in the operation process. A new structure type of grade crossing for PSCS is proposed to apply for the 1,000 mm gauge to overcome the main disadvantages of existing structural types. This paper presents test production and experimental measurements to analyze the behavior of PSCS. Test samples of monolithic PSCS were produced in factory. Measurement experiments were conducted in the laboratory. The results of the manufacturing and testing process presented in this paper show that this structure completely meets the criteria of stability and durability under the effect of test loads.

When studying grammar, students must not only focus on its structure but also on its form. Form-focused activities are integral to this process, requiring students to identify and manipulate language forms. A well-established technique for facilitating language acquisition is the consciousness-raising task (CR), which aims to heighten learners' awareness of language form. By prioritizing the language input, students can cultivate a more precise comprehension of grammar structures, thereby enhancing their own language proficiency. This approach entails various strategies, such as inferring grammatical rules from examples, comparing different forms of expression, and examining differences between a learner's usage of a grammar item and that of native speakers. However, designing effective CR tasks is cognitively demanding, time-intensive, and laborious for teachers, as it entails accommodating numerous requirements, including the definition of clear objectives, task relevance, and task engagement. To address these challenges, it is worth utilizing ChatGPT which is an advanced conversational AI system with the capability to process and generate various modalities of language. It has access to extensive databases and can produce written content that is frequently indistinguishable from human-written text. Accordingly, ChatGPT can be utilized to generate CR tasks or materials that may be applied in class. The present study endeavors to offer a range of CR tasks for grammar teaching that have been generated by ChatGPT. The tasks include identification tasks, text correction tasks, word choice tasks, and others.

The current study aimed to gain insight into the nuanced challenges that Vietnamese learners encountered due to the interference of their native linguistic structures and norms. This qualitative study explored the experiences of Vietnamese learners in acquiring English, focusing on the influence of negative L1 transfer. This study focused on the influence of negative transfer from their first language (L1) by drawing upon in-depth interviews and observational data from a group of Vietnamese university students. The results showed that despite exhibiting high levels of motivation and enthusiasm for learning English, Vietnamese learners struggled with the shadows of L1 interference in areas such as pronunciation, syntax, and idiomatic expressions. The tonal nature of the Vietnamese language led to intonation patterns in English that deviated from native norms. Direct translations also contributed to unidiomatic English, indicating a deep influence of L1 thought patterns. Additionally, cultural contexts embedded within the Vietnamese language presented challenges, as some concepts and expressions lacked direct English equivalents. Although students faced various obstacles, they utilized a variety of adaptive techniques to lessen the impact of negative transfer. These techniques included code-switching, peer correction, and self-reflection. The study emphasized the significance of recognizing and comprehending the significant role of L1 when creating English language educational programs and teaching techniques for Vietnamese students. By illuminating the specific challenges and adaptive strategies of these learners, educators could personalize their approaches, leading to a more comprehensive and efficacious language-learning atmosphere.

The utilization of blended learning in the field of English language instruction has shown a notable rise in recent times. Blended learning has the ability to provide an optimal setting for language education, enabling a transition from conventional instructional approaches to more progressive ways through the integration of technology. Nevertheless, several unresolved issues remain in relation to this methodology. This paper examines the perceptions of students regarding the potential benefits and obstacles associated with the implementation of blended learning in English language courses at a university in Vietnam. Additionally, the study proposes many solutions with the objective of enhancing the current situation and establishing a solid foundation for the future growth of blended learning. The study involved a sample of 165 first-year students, with online surveys and interviews being utilized as the primary methods of data collection The results of the study indicate that contemporary students can be classified as digital natives. While they demonstrate proficiency in various technical skills, have easy access to technology, and exhibit a propensity for self-directed learning, their inclination towards traditional classroom environments is evident when it comes to their attitudes regarding online engagement with instructors and peers in English courses.

This paper focuses on the Education Systems Improvement EdD program (EDSI) at the University of South Carolina and how the program faculty utilize the signature methodology of the program, improvement science, towards its improvement efforts towards enhancing its equity focus, especially post-pandemic. We utilize the framework of improvement science including tools such as gap analysis, program evaluations, empathy interviews, and focus groups to better understand the problem and best design the appropriate improvement efforts. Broadly, three program improvement foci were identified for the improvement arc: program purpose, curricular design, and continuous improvement processes. Findings from this study provide details about program improvement efforts in improving an EdD program's equity focus post-pandemic, in a particular setting. In the spirit of continuous improvement, this work is never done. It will be forwarded by follow-up improvement endeavors and activities.

In contemporary higher education, aligning student competencies with sustainable development goals (SDGs) is crucial for enhancing their employability. This necessity extends to graphic design undergraduate programs, pivotal in nurturing designers capable of addressing global sustainability challenges. Using a mixed-methods approach, this study aims to outline essential competencies for graphic design undergraduates pertinent to the SDGs. The research commenced with a systematic review of fourteen seminal articles, leading to the initial identification of fifty-eight key competencies. Subsequently, a Delphi study involving 44 graphic design experts validated these competencies. This iterative process refined the list, excluding twenty-seven competencies and affirming thirty one as critical. These validated competencies were categorized into four groups: Systemic, Performance, Contextual, and Global. The study's findings provide valuable insights for graphic design educators and industry employers, illuminating competencies essential for addressing sustainability challenges. Furthermore, this research contributes to academic discourse by offering a structured framework for integrating SDG-related competencies into graphic design education. This facilitates the development of designers proficient not only in their craft but also in sustainability imperatives. Our aim is to enhance pedagogical strategies and inform curriculum development in graphic design education, aligning them with evolving professional demands and sustainable development objectives.

Understanding students' learning of knowledge components (KCs) is an important educational data mining task and enables many educational applications. However, in the domain of computing education, where program exercises require students to practice many KCs simultaneously, it is a challenge to attribute their errors to specific KCs and, therefore, to model student knowledge of these KCs. In this paper, we define this task as the KC attribution problem. We first demonstrate a novel approach to addressing this task using deep neural networks and explore its performance in identifying expert-defined KCs (RQ1). Because the labeling process takes costly expert resources, we further evaluate the effectiveness of transfer learning for KC attribution, using more easily acquired labels, such as problem correctness (RQ2). Finally, because prior research indicates the incorporation of educational theory in deep learning models could potentially enhance model performance, we investigated how to incorporate learning curves in the model design and evaluated their performance (RQ3). Our results show that in a supervised learning scenario, we can use a deep learning model, code2vec, to attribute KCs with a relatively high performance (AUC > 75% in two of the three examined KCs). Further using transfer learning, we achieve reasonable performance on the task without any costly expert labeling. However, the incorporation of learning curves shows limited effectiveness in this task. Our research lays important groundwork for personalized feedback for students based on which KCs they applied correctly, as well as more interpretable and accurate student models.

This study examines the perceptions and responses of Vietnamese teachers of English as a Foreign Language (EFL) to academic integrity concerns that arise from the use of AI, specifically chatbots like ChatGPT, in foreign language education. The study employed an open-ended survey to collect data from 31 Vietnamese EFL teachers who were asked to share their views on AI-based academic dishonesty, identify perceived causes, outline consequences for students engaging in AI-based plagiarism, and articulate their pedagogical responses to the issue. The study found that teachers primarily attributed students' AI-driven plagiarism to a deficiency in original ideas, poor learning attitudes and motivation, and students' linguistic competencies. The over-reliance on AI was identified as a hindrance to the development of knowledge and skills such as critical thinking and language proficiency. In response to academic dishonesty, teachers advocated for increased regulations, the implementation of AI-based plagiarism detectors, and education on responsible AI use. The findings underscore the importance of adapting language teaching pedagogies and assessments to incorporate personalised learning and process-oriented teaching approaches that support critical thinking and genuine learning motivation. The insights derived from this research contribute to a deeper understanding of EFL educators' perspectives, offering valuable input for the development of policies and practices aimed at promoting academic integrity in the AI era. [Note: The page range (28-47) shown on the PDF is incorrect. The correct page range is 28-48.]

The primary purpose of educational programs is to enhance students' knowledge and skills through pedagogical training activities. However, preschool teachers in Vietnam face limitations in their professional capacity. Thus, this study aimed to address issues by evaluating the level of implementation of pedagogical training activities for preschool education students. The study used a scale for students' pedagogical practice activities to gather quantitative data from 629 participants (managers, lecturers and preschool teachers) in Dong Thap province in Vietnam to assess the extent of implementation of pedagogical training activities for preschool education students. The results showed that preschool teachers may not possess the essential knowledge of pedagogical practices. Pedagogical training uses conventional work-and-activity techniques despite the fact that it prioritizes innovation. Moreover, all school managers, teachers and students recognized the necessity of developing the professional capacity of preschool teachers. These findings illustrate the critical need for revitalizing educational approaches that are consistent with Vietnam's developing preschool teacher professional development context. The present study proposes some measures to innovate pedagogical practice activities in order to meet the requirements for developing the professional capacity of preschool teachers in Vietnam. Such initiatives hold promise for reshaping the educational landscape and fostering a culture of continuous improvement within the primary education sector of Vietnam.

This study explores the practical application of online applications in innovating the organization of teaching activities within public schools in Hue City, Vietnam. The research investigates the nuanced dynamics of execution and efficiency in using online applications across various teaching categories. The study employs a systematic approach to participant selection using stratified sampling based on geographical criteria to ensure representation from both the northern and southern regions of the city. A total of 192 teacher survey questionnaires were distributed focusing on the execution and efficiency of online applications in categories such as warm-up activities, knowledge building, review and consolidation, practice activities and testing and assessment. The commitment to data quality is demonstrated by the high response rate with 187 valid questionnaires collected (97.3% of the expected sample). Statistical analyses including mean scores, standard deviations and correlation coefficients were employed to provide a comprehensive evaluation of the current state of online application integration in teaching activities. The findings reveal varying levels of execution and efficiency across different teaching categories emphasizing the need for targeted improvement strategies. Strong positive correlations were observed in specific categories such as practice activities highlighting a consistent association between effective execution and efficiency. The study contributes valuable insights to the discourse on technology integration in education, offering recommendations for teachers, administrators and policymakers seeking to optimize the impact of online applications on teaching practices in the Vietnamese educational context.

In the 1980s of the twentieth century, universities in developed countries began to realize the growing gap between the capabilities of new graduate engineers and the actual requirements of engineering branches. The strong progress of technology requires engineers to have the intellectual abilities and necessary job-specific skills to master that progress. This paper focuses on Conceive, Design, Implement and Operate (CDIO) approach-based teaching for students majoring in electrical and electronic engineering technology at engineering universities in Vietnam to demonstrate the feasibility of the teaching model. The experimental method of synthesizing qualitative and quantitative results for 90 students in control and experimental classes was used. The experimental and control classes both had 45 students. SPSS software version 22 was used to gather data and evaluate the learning results of the two experimental and control groups. According to the findings of the T-test analysis of the independent variables for the two groups, the experimental class performed better in academics and had students in the experimental group who were more satisfied with their post-test scores. This result contributes to confirm that the use of the CDIO-based teaching model in Vietnam is effective for students majoring in electrical and electronic engineering technology.

Nowadays, TikTok is one of the most popular online applications. TikTok has recently been a helpful tool in facilitating teaching speaking skills. More researchers are exploring the teaching application of TikTok in speaking classes. This study is designed as mixed-method research that explores VLU second-year English-major students' perceptions of using TikTok to learn speaking skills. With the help of two research instruments: interviews and questionnaires, the results showed that students agree that TikTok positively impacts speaking skills. Furthermore, TikTok can be implemented in Speaking 4 classes as an additional tool to facilitate students' speaking skills outside the classroom.

Current teacher attrition in Australia and globally has created an untenable situation for many schools, teachers and the profession. This paper reports on research that examined the critical issue of teacher attrition from the perspective of former classroom teachers and school leaders. Although there is extensive national and global research related to teacher shortages and intentions to leave the teaching profession, minimal research has sought insights from those who have left the profession in Australia, including ascertaining what they are doing now. Using an online survey, data were collected from 256 former teachers from all states and territories, sectors and career stages who had left the profession between 2016 and 2022. Using descriptive statistical and thematic analysis, this study highlights the potential loss to teaching and the education profession more broadly due to teacher attrition. For these participants, the reasons for leaving were often multifaceted and the process of leaving was often protracted. Many of these former teachers have maintained links to the education profession occupying various associated roles and positions. We call for a reconsideration of the ways that strategies to ameliorate teacher attrition are conceptualised and implemented.

In this manuscript, we recognize that young children learn stories that propagate white supremacist narratives through selective traditions of early childhood curriculum. The role of early childhood teachers, therefore, is to critically examine curriculum for biases, omissions, and distortions, as well as to rewrite curriculum to tell accurate stories and disrupt what Viet Thanh Nguyen refers to as "narrative scarcity". Through a qualitative study of pre-service teachers' (PSTs) re-imaginings and revisions of early childhood structures, processes, and texts, we highlight the moves that teachers made to rectify, represent and expand narratives related to communities of Color.

Autism and sensory-friendly events are an increasingly common feature of community life. One predictable aspect of these events is the presence of sensory havens, which serve as a respite or self-regulation zone for neurodiverse children, family, friends, and, occasionally, their service animals. When research evidence contributes to the design of these spaces, they can positively impact the length of time people attend events and the quality of their experiences. The authors detail autism architecture guidelines and sensory regulation research, and provide practical strategies for designing and operating havens.

To assess the role of in-flight transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we investigated a cluster of cases among passengers on a 10-hour commercial flight. Affected persons were passengers, crew, and their close contacts. We traced 217 passengers and crew to their final destinations and interviewed, tested, and quarantined them. Among the 16 persons in whom SARS-CoV-2 infection was detected, 12 (75%) were passengers seated in business class along with the only symptomatic person (attack rate 62%). Seating proximity was strongly associated with increased infection risk (risk ratio 7.3, 95% CI 1.2–46.2). We found no strong evidence supporting alternative transmission scenarios. In-flight transmission that probably originated from 1 symptomatic passenger caused a large cluster of cases during a long flight. Guidelines for preventing SARS-CoV-2 infection among air passengers should consider individual passengers’ risk for infection, the number of passengers traveling, and flight duration.

African swine fever (ASF) is currently Vietnam’s most economically significant swine disease. The first ASF outbreak in Vietnam was reported in February 2019. In this study, VNUA/HY/ASF1 strain isolated from the first ASF outbreak was used to infect 10 eight-week-old pigs orally with 103 HAD50 per animal. The pigs were observed daily for clinical signs, and whole blood samples were collected from each animal for viremia detection. Dead pigs were subjected to full post-mortem analyses. All 10 pigs displayed acute or subacute clinical signs and succumbed to the infection between 10 to 27 (19.8 ± 4.66) days post-inoculation (dpi). The onset of clinical signs started around 4–14 dpi. Viremia was observed in pigs from 6–16 dpi (11.2 ± 3.55). Enlarged, hyperemic, and hemorrhagic lymph nodes, enlarged spleen, pneumonia, and hydropericardium were observed at post-mortem examinations.

How do universities encourage academics to buy into a shared vision while often setting punitive targets in teaching and research? This article explores possible antecedents of a university's shared vision and its relationships with academics' research and teaching performance in the era of managerialism. This cross-country study of two large universities in the UK and Vietnam draws on data from multiple sources to uncover the key components of a university's shared vision. A survey strategy was adopted. Data were collected from different sources, using a stratified random sampling technique from academics of different schools at those universities. A total of 431 survey responses from academics at these universities were included for analysis, employing structure equation modelling. It provides fresh insights into whether having a shared vision can benefit academics' research and teaching performance. The findings of this study show that while achieving a high degree of shared vision may enhance research performance, it may do little to improve teaching performance. The study provides empirical evidence indicating that a shared vision emerges as strongly rooted within individual employees rather than managers, challenging the common belief that a shared vision emanates primarily from the top down. This article advances social exchange theory (SET) by showing the interdependence of workplace antecedents, personal attributes, interpersonal connections, and performance. It introduces a framework for the relationship between universities' shared vision with its possible antecedents and with academics' teaching performance and research performance. The article also discusses useful implications for higher education leaders, based on the findings of the study.

IgG4-related sclerosing cholangitis (IgG4-SC) is a relatively newly identified disease that is frequently associated with autoimmune pancreatitis. The differential diagnosis between cholangiocarcinoma, primary sclerosing cholangitis, and IgG4-SC can be challenging due to significant overlap among the clinical and imaging characteristics. We report the case of a 71-year-old woman who was diagnosed with IgG4-related disease based on increased serum IgG4 levels, imaging, and clinical presentation, which showed systemic involvement, including sclerosing cholangitis and kidneys. The patient presented with chronic jaundice. Magnetic resonance imaging revealed bile duct strictures and the dilatation of upstream bile ducts, smooth wall thickening with uniform enhancement in the delayed phase, and no vascular infiltration. Multiple low-density, wedge-shaped areas were identified in both kidneys, which were hypointense on T2-weighted images and hyperintense on diffusion-weighted images. The serum IgG4 levels of this patient were elevated to nearly 10-fold the normal upper limit. A diagnosis of IgG4-SC associated with IgG4-related kidney was made. Based on this case, pre-surgery IgG4 serum treatment in patients with non-malignant bile duct stenosis was recommended to exclude IgG4-SC.

Direct anterior cerebral artery-cavernous sinus fistula is an extremely rare complication of head trauma. We describe a male patient (age 49 years) with a history of head trauma 15 years ago who was hospitalised for a bulging red eye and tinnitus. Digital subtraction angiography showed a direct anterior cerebral artery (fork junction A1 - prior passage)-cavernous sinus fistula. The patient was treated with arterial endovascular intervention, complete sealing of the fistula orifice using coils. He was discharged 5 days later with no symptoms of a bulging red eye, ringing in the ears, or nerve paralysis. Re-examination after 3 months of stable clinical features did not show recurrent fistula. In conclusion, anterior cerebral artery-cavernous sinus fistula is an extremely rare lesion, and arterial endovascular intervention using coils is a safe and effective method for treatment of such lesion.

Innovative marketing practices are essential for firms to increase sales and profitability. This paper aims to investigate the determinants of firms’ marketing innovation based on the employment of resource-based view and stakeholder theory. A probit regression model linking marketing innovation with proxies of firms’ resources and pressures from firms’ stakeholders was tested based on a dataset of 5,857 Vietnamese enterprises taken from a survey by the Ministry of Science and Technology of Vietnam in 2016. The findings indicate that firms’ size decreases the probability of marketing innovation by 1%, while internal knowledge gained from internal R&D causes the probability of marketing innovation to increase by 0.18%. Besides, the political connection and collaborations with competitors and private consultants drive the probability that firms implement the marketing innovation up by 0.09%, 0.12%, and 0.09%, respectively. On the other hand, export-oriented firms are more likely to implement marketing innovation by 0.03%, while foreign ownership reduces the chance of this decision by 0.05%. This research also reveals the essential role of the firm’s market pressures to enter into new markets or improve product quality in encouraging marketing innovation by 0.16% and 0.13%, respectively. AcknowledgmentThis research was supported by National Economics University, Grant Number: 343-QĐ-ĐHKTQD.

To explore the presence of aflatoxin B1 (AFB1) and fungi in traditional drugs collected in Vietnam. Materials and Methods: 505 samples of 88 different traditional drugs were obtained from 10 hospitals in Nghe An, a central province of Vietnam. AFB1 contamination was determined by a high-performance liquid chromatography (HPLC) assay. Fungal contaminants were determined according to WHO regulations and the obtained Aspergillus strains were characterized via morphological and molecular identification. Results: 24 samples (4.75% of the total samples) were contaminated with AFB1 and the average concentration was 0.062± 0.030 µg/kg (ranging from 0.009 to 0.097 µg/kg). Fungal isolates were detected from 174 samples (34.45%). The genus Aspergillus was predominant (82.76% of the isolates) but Rhizopus, Alternaria, Corynespora and yeast were also found in a few samples. Among 144 strains of Aspergillus recovered, A. niger (105 strains) was most frequently found, followed by A. tubingensis (31 strains), A. oryzae (4 strains) and A. flavus (4 strains). Conclusion: This study suggests a low risk of aflatoxin B1 exposure to consumers of traditional drugs in Vietnam.

A cluster of severe acute respiratory syndrome coronavirus 2 infections in Danang, Vietnam, began July 25, 2020, and resulted in 551 confirmed cases and 35 deaths as of February 2021. We analyzed 26 sequences from this cluster and identified a novel shared mutation in nonstructural protein 9, suggesting a single introduction into Vietnam.

Meningeal solitary fibrous tumors (SFT) are rare and have a high frequency of local recurrence and distant metastasis. In a cohort of 126 patients (57 female, 69 male; mean age at surgery 53.0 years) with pathologically confirmed meningeal SFTs with extended clinical follow-up (median 9.9 years; range 15 days-43 years), we performed extensive molecular characterization including genome-wide DNA methylation profiling (n = 80) and targeted TERT promoter mutation testing (n = 98). Associations were examined with NAB2::STAT6 fusion status (n = 101 cases; 51 = ex5-7::ex16-17, 26 = ex4::ex2-3; 12 = ex2-3::exANY/other and 12 = no fusion) and placed in the context of 2021 Central Nervous System (CNS) WHO grade. NAB2::STAT6 fusion breakpoints (fusion type) were significantly associated with metastasis-free survival (MFS) (p = 0.03) and, on multivariate analysis, disease-specific survival (DSS) when adjusting for CNS WHO grade (p = 0.03). DNA methylation profiling revealed three distinct clusters: Cluster 1 (n = 38), Cluster 2 (n = 22), and Cluster 3 (n = 20). Methylation clusters were significantly associated with fusion type (p

Inquiries into properties of brain structure and function have progressed due to developments in magnetic resonance imaging (MRI). To sustain progress in investigating and quantifying neuroanatomical details in vivo, the reliability and validity of brain measurements are paramount. Quality control (QC) is a set of procedures for mitigating errors and ensuring the validity and reliability of brain measurements. Despite its importance, there is little guidance on best QC practices and reporting procedures. The study of hippocampal subfields in vivo is a critical case for QC because of their small size, inter-dependent boundary definitions, and common artifacts in the MRI data used for subfield measurements. We addressed this gap by surveying the broader scientific community studying hippocampal subfields on their views and approaches to QC. We received responses from 37 investigators spanning 10 countries, covering different career stages, and studying both healthy and pathological development and aging. In this sample, 81% of researchers considered QC to be very important or important, and 19% viewed it as fairly important. Despite this, only 46% of researchers reported on their QC processes in prior publications. In many instances, lack of reporting appeared due to ambiguous guidance on relevant details and guidance for reporting, rather than absence of QC. Here, we provide recommendations for correcting errors to maximize reliability and minimize bias. We also summarize threats to segmentation accuracy, review common QC methods, and make recommendations for best practices and reporting in publications. Implementing the recommended QC practices will collectively improve inferences to the larger population, as well as have implications for clinical practice and public health.

We recorded dopamine release signals in centromedial and centrolateral sectors of the striatum as mice learned consecutive versions of visual cue-outcome conditioning tasks. Dopamine release responses differed for the centromedial and centrolateral sites. In neither sector could these be accounted for by classic reinforcement learning alone as classically applied to the activity of nigral dopamine-containing neurons. Medially, cue responses ranged from initial sharp peaks to modulated plateau responses; outcome (reward) responses during cue conditioning were minimal or, initially, negative. At centrolateral sites, by contrast, strong, transient dopamine release responses occurred at both cue and outcome. Prolonged, plateau release responses to cues emerged in both regions when discriminative behavioral responses became required. At most sites, we found no evidence for a transition from outcome signaling to cue signaling, a hallmark of temporal difference reinforcement learning as applied to midbrain dopaminergic neuronal activity. These findings delineate a reshaping of striatal dopamine release activity during learning and suggest that current views of reward prediction error encoding need review to accommodate distinct learning-related spatial and temporal patterns of striatal dopamine release in the dorsal striatum.

Vector-borne bacterial pathogens cause devastating plant diseases that cost billions of dollars in crop losses worldwide. These pathogens have evolved to be host- and vector-dependent, resulting in a reduced genome size compared to their free-living relatives. All known vector-borne bacterial plant pathogens belong to four different genera: Candidatus Liberibacter, Candidatus Phytoplasma, Spiroplasma and Xylella. To protect themselves against pathogens, plants have evolved pattern recognition receptors that can detect conserved pathogen features as non-self and mount an immune response. To gain an understanding of how vector-borne pathogen features are perceived in plants, we investigated three proteinaceous features derived from cold shock protein (csp22), flagellin (flg22) and elongation factor Tu (elf18) from vector-borne bacterial pathogens as well as their closest free-living relatives. In general, vector-borne pathogens have fewer copies of genes encoding flagellin and cold shock protein compared to their closest free-living relatives. Furthermore, epitopes from vector-borne pathogens were less likely to be immunogenic compared to their free-living counterparts. Most Liberibacter csp22 and elf18 epitopes do not trigger plant immune responses in tomato or Arabidopsis. Interestingly, csp22 from the citrus pathogen Candidatus Liberibacter asiaticus triggers immune responses in solanaceous plants, while csp22 from the solanaceous pathogen Candidatus Liberibacter solanacearum does not. Our findings suggest that vector-borne plant pathogenic bacteria evolved to evade host recognition.

BackgroundDual use of both e-cigarettes and cigarettes is popular among young adults and may lead to greater nicotine dependence and additive adverse health effects than single-product use. However, existing cessation programs target quitting either e-cigarettes or cigarettes, highlighting a need for interventions to help young adults quit both products (ie, dual tobacco cessation).ObjectiveThis formative study is part of a larger project to develop a smartphone intervention for dual tobacco cessation among young adults. This study aimed to (1) explore desires for and experiences with quitting both e-cigarettes and cigarettes and (2) identify needs and preferences for dual tobacco cessation intervention programming.MethodsSemistructured interviews were conducted to elicit the need for and experience with dual tobacco cessation among 14 young adults (18-29 years old) recruited through Instagram (Meta) advertisements in 2023. We conducted a thematic analysis to identify common themes related to quitting experiences and cessation needs.ResultsParticipants expressed a strong desire for dual tobacco cessation and had attempted to quit both tobacco products, mostly "cold turkey." The priority product for quitting first varied by the individual's perceived harm or level of consumption. Targets for dual tobacco cessation interventions included (1) highlighting the health effects of dual tobacco use compared with single product use, (2) providing cessation support to quit one prioritized product while cutting down the other product with the explicit goal to quit both, (3) emphasizing unique facilitators and barriers to quitting each product (eg, unpleasant smell of cigarettes facilitating smoking cessation and accessibility and flavors of e-cigarettes hindering vaping cessation), and (4) addressing co-use of tobacco with alcohol or cannabis. Participants wanted personalized interventions through smartphone apps that would tailor support to their tobacco use patterns and unique quitting goals and needs. They also suggested presenting intervention content in multimedia (eg, videos, graphic pictures, quizzes, and games) to increase engagement.ConclusionsThis study provides important insights into young adults' experiences, needs, and preferences for dual tobacco product cessation. We highlight important targets for future smartphone apps to deliver personalized and tailored support to meet the heterogeneous needs and preferences of young people who want to quit using both e-cigarettes and cigarettes.

PURPOSE: Current clinical risk stratification methods for localized prostate cancer are suboptimal, leading to over- and undertreatment. Recently, machine learning approaches using digital histopathology have shown superior prognostic ability in phase III trials. This study aims to develop a clinically usable risk grouping system using multimodal artificial intelligence (MMAI) models that outperform current National Comprehensive Cancer Network (NCCN) risk groups. MATERIALS AND METHODS: The cohort comprised 9,787 patients with localized prostate cancer from eight NRG Oncology randomized phase III trials, treated with radiation therapy, androgen deprivation therapy, and/or chemotherapy. Locked MMAI models, which used digital histopathology images and clinical data, were applied to each patient. Expert consensus on cut points defined low-, intermediate-, and high-risk groups on the basis of 10-year distant metastasis rates of 3% and 10%, respectively. The MMAIs reclassification and prognostic performance were compared with the three-tier NCCN risk groups. RESULTS: The median follow-up for censored patients was 7.9 years. According to NCCN risk categories, 30.4% of patients were low-risk, 25.5% intermediate-risk, and 44.1% high-risk. The MMAI risk classification identified 43.5% of patients as low-risk, 34.6% as intermediate-risk, and 21.8% as high-risk. MMAI reclassified 1,039 (42.0%) patients initially categorized by NCCN. Despite the MMAI low-risk group being larger than the NCCN low-risk group, the 10-year metastasis risks were comparable: 1.7% (95% CI, 0.2 to 3.2) for NCCN and 3.2% (95% CI, 1.7 to 4.7) for MMAI. The overall 10-year metastasis risk for NCCN high-risk patients was 16.6%, with MMAI further stratifying this group into low-, intermediate-, and high-risk, showing metastasis rates of 3.4%, 8.2%, and 26.3%, respectively. CONCLUSION: The MMAI risk grouping system expands the population of men identified as having low metastatic risk and accurately pinpoints a high-risk subset with elevated metastasis rates. This approach aims to prevent both overtreatment and undertreatment in localized prostate cancer, facilitating shared decision making.

BackgroundBefore SARS-CoV-2 vaccination availability, medical center employees were at high risk of COVID-19. However, risk factors for SARS-CoV-2 infection in medical center employees, both healthcare and non-healthcare workers, are poorly understood.MethodsFrom September-December 2020, free IgG antibody testing was offered to all employees at a large urban medical center. Participants were asked to complete a questionnaire on work and non-work related risk factors for COVID-19 infection.ResultsSARS-CoV-2 seropositivity was found in 4.7%. Seropositivity was associated with close contact with COVID-19 cases with or without the use of adequate personal protective equipment (PPE), (OR 3.1 [95% CI 1.4-6.9] and OR 4.7 [95% CI 2.0-11.0] respectively), never wearing a mask outside of work (OR 10.1 [95% CI 1.9-57]), and Native Hawaiian/Pacific Islander race (OR 6.3 95% CI (1.6-25)].ConclusionsAmong workers in a large urban medical center, SARS-CoV-2 seropositivity was associated with work-related COVID-19 close contacts and low mask use outside of work, suggesting that non-workplace close contacts are also relevant routes of COVID-19 spread among healthcare workers.

ObjectivesLatinos are about twice as likely to develop cognitive impairment. Culturally, filial support and familismo are expected within Latino families. Yet approximately twenty percent of Latinos live alone in the United States. The purpose of this study is to explore the concerns and priorities of older Latinos living alone with cognitive impairment, using a precarity framework.MethodWe conducted 22 in-home interviews with older Latinos living alone with cognitive impairment, and we supplemented the interviews with interviews with members of the older adults' social circle and providers. Themes influencing the precarity of Latino older adults living alone were organized through the major areas of the precarity lens; 1) Limited awareness of cognitive impairment; 2) Self-management of cognitive impairment; and 3) Lacking tailored services for cognitive impairment.ResultsLatino culture permeated and intersected across the lived experiences of participants living alone with cognitive impairment. Precarity was prevalent in all participants' lives and was exacerbated by familismo combined with cognitive impairment.ConclusionFindings showed precarity in the experiences the participants shared. Participant narratives reveal how the Latino culture intersects with the experience of precarity while living alone with cognitive impairment, especially in reference to the role that family plays through the expectation of familismo. However, given the difficult demands of employment and raising their own families, familismo can become more like a goal than a practice. Further research is needed to better understand how to bridge the gap between the needs of these older Latino adults living alone with cognitive impairment, their families, and formal services.