Understanding the Use of Mobility Data in Disasters: Exploratory Qualitative Study of COVID-19 User Feedback.

BACKGROUND: Human mobility data have been used as a potential novel data source to guide policies and response planning during the COVID-19 global pandemic. The COVID-19 Mobility Data Network (CMDN) facilitated the use of human mobility data around the world. Both researchers and policy makers assumed that mobility data would provide insights to help policy makers and response planners. However, evidence that human mobility data were operationally useful and provided added value for public health response planners remains largely unknown. OBJECTIVE: This exploratory study focuses on advancing the understanding of the use of human mobility data during the early phase of the COVID-19 pandemic. The study explored how researchers and practitioners around the world used these data in response planning and policy making, focusing on processing data and human factors enabling or hindering use of the data. METHODS: Our project was based on phenomenology and used an inductive approach to thematic analysis. Transcripts were open-coded to create the codebook that was then applied by 2 team members who blind-coded all transcripts. Consensus coding was used for coding discrepancies. RESULTS: Interviews were conducted with 45 individuals during the early period of the COVID-19 pandemic. Although some teams used mobility data for response planning, few were able to describe their uses in policy making, and there were no standardized ways that teams used mobility data. Mobility data played a larger role in providing situational awareness for government partners, helping to understand where people were moving in relation to the spread of COVID-19 variants and reactions to stay-at-home orders. Interviewees who felt they were more successful using mobility data often cited an individual who was able to answer general questions about mobility data; provide interactive feedback on results; and enable a 2-way communication exchange about data, meaning, value, and potential use. CONCLUSIONS: Human mobility data were used as a novel data source in the COVID-19 pandemic by a network of academic researchers and practitioners using privacy-preserving and anonymized mobility data. This study reflects the processes in analyzing and communicating human mobility data, as well as how these data were used in response planning and how the data were intended for use in policy making. The study reveals several valuable use cases. Ultimately, the role of a data translator was crucial in understanding the complexities of this novel data source. With this role, teams were able to adapt workflows, visualizations, and reports to align with end users and decision makers while communicating this information meaningfully to address the goals of responders and policy makers.

Exploring the Relationship Between Instagram Use and Self-Criticism, Self-Compassion, and Body Dissatisfaction in the Spanish Population: Observational Study.

BACKGROUND: The widespread use of online social networks, particularly among the younger demographic, has catalyzed a growing interest in exploring their influence on users' psychological well-being. Instagram (Meta), a visually oriented platform, has garnered significant attention. Prior research has consistently indicated that Instagram usage correlates with heightened levels of perfectionism, body dissatisfaction, and diminished self-esteem. Perfectionism is closely linked to self-criticism, which entails an intense self-scrutiny and is often associated with various psychopathologies. Conversely, self-compassion has been linked to reduced levels of perfectionism and stress, while fostering greater positive affect and overall life satisfaction. OBJECTIVE: This study investigates the relationship between Instagram usage (time of use and content exposure) and users' levels of self-compassion, self-criticism, and body dissatisfaction. METHODS: This study comprised 1051 adult participants aged between 18 and 50 years, either native to Spain or residing in the country for at least a decade. Each participant completed a tailored questionnaire on Instagram usage, along with abbreviated versions of the Self-Compassion Scale, the Body Shape Questionnaire, and the Depressive Experiences Questionnaire, spanning from January 23 to February 25, 2022. RESULTS: A positive correlation was observed between daily Instagram usage and self-criticism scores. Participants of all age groups who spent over 3 hours per day on Instagram exhibited higher self-criticism scores than users who spent less than 1 hour or between 1 and 3 hours per day. Contrary to previous findings, no significant relationship was detected between Instagram usage time and levels of self-compassion or body dissatisfaction. Furthermore, content centered around physical appearance exhibited a positive correlation with self-criticism and body dissatisfaction scores. Among younger participants (aged 18-35 years), those who primarily viewed beauty or fashion content reported higher self-criticism scores than those consuming science-related content. However, this association was not significant for participants aged 35-50 years. Conversely, individuals who predominantly engaged with sports or fitness or family or friends content exhibited higher levels of body dissatisfaction than those focusing on science-related content. No significant associations were observed between self-compassion scores and daily Instagram usage or most-viewed content categories. CONCLUSIONS: The findings of this study underscore the considerable impact of Instagram usage on self-criticism and body dissatisfaction-2 variables known to influence users' psychological well-being and be associated with various symptoms and psychological disorders.

Peer or tutor? The congruity effects of service robot role and service type on usage intention.

The invention of service robots has reduced the labor cost and improved enterprises' efficiency and service quality. However, it is still difficult to enhance consumers' intention to use robot-by-robot design efficiently. Based on social roles of anthropomorphic cues, service robots can be divided into peer (e.g., kind and amiable friends) or tutor (e.g., authoritative and professional experts) robots. From a matching perspective, this paper investigates (1) whether robot role and service type have an impact on consumers' intention to employ service robots in different ways, and (2) how cognitive trust and affective trust can play a mediating role during this process. In this paper, the authors conducted an online a scenario-based experiment and collected a valid sample of 332 consumers. The results show that the participants are more willing to apply the tutor robot in the scenario of utilitarian service, and the peer robot in the scenario of hedonic service. In addition, cognitive trust and affective trust have a matching mediation effect. Specifically, for the utilitarian service, cognitive trust mediates the effect of robot role on consumers' intention to adopt the robots, while the mediating effect of affective trust is not significant. As for the hedonic service, affective trust mediated the effect of robot role on the intention to use, whereas the mediating effect of cognitive trust is not significant.

Exploring Codon Usage Patterns and Influencing Factors in Ranavirus DNA Polymerase Genes.

Ranaviruses, members of the genus Ranavirus within the family Iridoviridae, have become a significant concern for amphibian populations globally, along with other cold-blooded vertebrates, due to their emergence as a significant threat. We employed bioinformatics tools to examine the codon usage patterns in 61 DNA pol genes from Ranavirus, Lymphocystivirus, Megalocytivirus, and two unclassified ranaviruses, as no prior studies had been conducted on this topic. The results showed a slight or low level of codon usage bias (CUB) in the DNA pol genes of Ranavirus. Relative synonymous codon usage (RSCU) analysis indicated that the predominant codons favored in Ranavirus DNA pol genes terminate with C or G. Correlation analysis examining nucleotide content, third codon position, effective number of codons (ENC), correspondence analysis (COA), Aroma values, and GRAVY values indicated that the CUB across DNA pol genes could be influenced by both mutation pressure and natural selection. The neutrality plot indicated that natural selection is the primary factor driving codon usage. Furthermore, the analysis of the codon adaptation index (CAI) illustrated the robust adaptability of Ranavirus DNA pol genes to their hosts. Analysis of the relative codon deoptimization index (RCDI) suggested that Ranavirus DNA pol genes underwent greater selection pressure from their hosts. These findings will aid in comprehending the factors influencing the evolution and adaptation of Ranavirus to its hosts.

Factors associated with noninvasive ventilation usage in patients with hypoventilation disorders.

Study Objectives: The objective of this study was to investigate the association between demographic, clinical, and interface factors and noninvasive ventilation (NIV) usage. Methods: A retrospective cohort analysis of 478 patients prescribed NIV from 2013 to 2021 was performed. Demographic factors, clinical indications for NIV, and interface factors were collected, and linear regression was conducted to evaluate the association between these variables and NIV usage (hour/night). Results: The average usage of the cohort was 6.5 hour/night ±â€…4.6, with an average age of 57 years ±â€…16 and body mass index (BMI) of 40.5kg/m2 ±â€…14.7. The cohort was mostly male (n = 290, 60.6%). The most common indications for NIV prescription were high-pressure requirement for obstructive sleep apnea (HPR, n = 190, 39.7%), neuromuscular disease (NMD, n = 140, 29.3%), and obesity hypoventilation syndrome (OHS, n = 111, 23.2%). A diagnosis of NMD was a significant predictor of higher NIV usage (8.0 ±â€…6.1 hour/night) in multivariate analysis (p = .036). The HPR subcohort had the lowest usage of all indications. Age and BMI did not predict usage. A nasal interface (p < .01) and lower expiratory positive airway pressure (EPAP) setting (p < .001) were associated with increased NIV usage. Conclusions: This study highlights the multifaceted nature of NIV usage. Where demographic factors were not consistent predictors of usage, interface, and clinical indication were associated with usage. These findings highlight that the HPR users are a group at risk of low usage.

Exploring the health and ocular hazards of gadget usage in optometry students after COVID-19 lockdown: A qualitative study.

BACKGROUND: Prolonged screen time and abnormal postures can cause backache, neck pain, headache, and finger pain. Studies have shown that excessive usage of gadgets has increased during the coronavirus disease 2019 (COVID-19) pandemic, causing health and ocular hazards. This study used qualitative research methods to understand the health and ocular effects of gadget usage following the COVID-19 postlockdown in optometry students. MATERIALS AND METHODS: A qualitative study using a semi-structured face-to-face interview was conducted for undergraduate and postgraduate students in different optometry institutes who underwent at least 3 months of online teaching learning during the pandemic after obtaining informed consent. The interviews were conducted online; the sessions were audio-recorded, transcribed, and analyzed. Thematic analyses were conducted to understand the challenges faced. RESULTS: Twenty participants were interviewed, of which 70% (n = 14) were females. Thematic analysis identified seven major themes: gadget usage (frequency of usage, type of device, and time spent), challenges during online classes (comprehension, distraction, and network issues), ocular effects (asthenopic symptoms and ocular symptoms), health effects (musculoskeletal disorders), ways to relieve symptoms, recreational activities (breaks and entertainment), and environment and ergonomics (posture and study area and preferred lighting). All the participants reported ocular/health-related symptoms, including eye strain, burning sensation, headache, back pain, finger pain, and neck pain post the lockdown period due to prolonged gadget usage and poor ergonomic postures. CONCLUSIONS: Given the significant increase in digital usage following the pandemic, the study's findings are currently relevant. The prolonged usage of gadgets and poor ergonomic postures have led to ocular and musculoskeletal problems among optometry students. To improve gadget usage without any health-related consequences, students should have access to information regarding ergonomics, increasing the blink rate, and taking regular digital breaks.

Conventional and unsupervised artificial intelligence analyses identified risk factors for antimicrobial resistance on dairy farms in the province of Québec, Canada.

Antimicrobial resistance (AMR) is one of the greatest threats to global health worldwide and is threatening not only humans, but also animal production systems, including dairy farms. The objective of this paper was to describe risks factors associated with AMR on dairy farms in Québec, Canada. This observational cross-sectional study included 101 commercial dairy farms and took place between the springs of 2017 and 2018 for a one-year period. We explored risk factors such as farm practices and producer's knowledge (measured using a questionnaire), antimicrobial use (quantified using veterinary invoices), and the presence of Salmonella Dublin (tested by serology). We evaluated AMR with fecal Escherichia coli retrieved from pre-weaned calves and lactating cows using the following outcomes: the presence of extended-spectrum-ß-lactamase/AmpC resistance and the number of resistances to antimicrobial classes. We used logistic regression models to evaluate the association between each risk factor and the 2 outcomes for the 2 types of samples (pre-weaned calves and lactating cows). Furthermore, we explored the relationships between these risk factors utilizing data dimensionality reduction and hierarchical clustering. Outputs of these analyses were used as regressors for AMR in regression models. While the results for univariate analyses were ambiguous, the unsupervised analysis naturally categorized the sample of farms according to their health/treatment status (dimension 1, explaining 12.9% of the variance) and herd size (dimension 2, explaining 7.8%). Three clusters of farms were identified (cluster 1: mainly healthy herds and low ceftiofur users, cluster 2: relatively high ceftiofur users, cluster 3: farms with a higher incidence of diseases and higher antimicrobial treatment rates). Dimension 1 and cluster membership were statistically associated with the presence of extended-spectrum-ß-lactamase/AmpC resistance in lactating cows and in pre-weaned calves. Dimension 1 was also statistically associated with the number of resistances in lactating cows and in pre-weaned calves. This study highlights the complexity of analyzing risk factors associated with AMR. Our results suggest that the herd health status and the AMU-related practices used are associated with AMR in dairy farms. However, prospective studies are needed to confirm a causal relation.

Assessing service usage and protective factors in a pediatric psychiatry clinic during the COVID-19 pandemic.

Youth with developmental and pre-existing mental health conditions have been particularly vulnerable to declines in psychological functioning during the COVID-19 pandemic. This study aimed to first, analyze service usage within an outpatient child and adolescent psychiatry clinic in the months preceding and during the COVID-19 pandemic, and second, to examine associations with potential protective factors against mental health concerns in a treatment-engaged sample. Service usage was examined using clinic billing data, and reports on protective factors were gathered via parent survey of 81 children ages 6-17 years who received mental health treatment in an outpatient psychiatry clinic during the pandemic. Protective factors were assessed at the individual, family, and community levels, and included children's use of coping strategies, parental resilience, and parents' perceived social supports. Study outcomes, including mental health concerns, mental health emergencies, pandemic-related distress, and social impact of the pandemic, were analyzed via Pearson correlations and simultaneous multiple linear regressions. Findings suggest increased service usage and child coping, parental resilience, and social connectedness as factors associated with fewer mental health concerns in youth with psychiatric concerns during the pandemic. This study lends support for expanding psychiatric services with continued use of telemedicine platforms. Further, findings suggest a mental health benefit to optimizing individual, parental, and community-based resources to enhance children's psychological functioning, particularly for youth with pre-existing mental health conditions.

Effects of a Digital Care Pathway for Multiple Sclerosis: Observational Study.

BACKGROUND: Helsinki University Hospital has developed a digital care pathway (DCP) for people with multiple sclerosis (MS) to improve the care quality. DCP was designed for especially newly diagnosed patients to support adaptation to a chronic disease. OBJECTIVE: This study investigated the MS DCP user behavior and its impact on patient education-mediated changes in health care use, patient-perceived impact of MS on psychological and physical functional health, and patient satisfaction. METHODS: We collected data from the service launch in March 2020 until the end of 2022 (observation period). The number of users, user logins, and their timing and messages sent were collected. The association of the DCP on health care use was studied in a case-control setting in which patients were allowed to freely select whether they wanted to use the service (DCP group n=63) or not (control group n=112). The number of physical and remote appointments either to a doctor, nurse, or other services were considered in addition to emergency department visits and inpatient days. The follow-up time was 1 year (study period). Furthermore, a subgroup of 36 patients was recruited to fill out surveys on net promoter score (NPS) at 3, 6, and 12 months, and their physical and psychological functional health (Multiple Sclerosis Impact Scale) at 0, 3, 6, and 12 months. RESULTS: During the observation period, a total of 225 patients had the option to use the service, out of whom 79.1% (178/225) logged into the service. On average, a user of the DCP sent 6.8 messages and logged on 7.4 times, with 72.29% (1182/1635) of logins taking place within 1 year of initiating the service. In case-control cohorts, no statistically significant differences between the groups were found for physical doctors' appointments, remote doctors' contacts, physical nurse appointments, remote nurse contacts, emergency department visits, or inpatient days. However, the MS DCP was associated with a 2.05 (SD 0.48) visit increase in other services, within 1 year from diagnosis. In the prospective DCP-cohort, no clinically significant change was observed in the physical functional health between the 0 and 12-month marks, but psychological functional health was improved between 3 and 6 months. Patient satisfaction improved from the NPS index of 21 (favorable) at the 3-month mark to the NPS index of 63 (excellent) at the 12-month mark. CONCLUSIONS: The MS DCP has been used by a majority of the people with MS as a complementary service to regular operations, and we find high satisfaction with the service. Psychological health was enhanced during the use of MS DCP. Our results indicate that DCPs hold great promise for managing chronic conditions such as MS. Future studies should explore the potential of DCPs in different health care settings and patient subgroups.

The prevalence of herbal medicine among Sudanese adults: a cross-sectional study 2021.

BACKGROUND: The use of herbal medicine has a long history in Sudan and is widely practiced among the general population. However, there is a lack of studies examining the prevalence, patterns, and predictors of herbal medicine usage in Sudan. Thus, this study was conducted to bridge this gap. METHODS: This descriptive cross-sectional study was conducted between January and February 2021. It included Sudanese adults residing in Omdurman, Sudan, using systematic and simple random sampling methods. Data were collected using a structured, adapted questionnaire comprising: the socio-demographic characteristics and the knowledge of herbal medicine and its usage. Moreover, it investigated the commonly used herbal remedies and the participants' sources of information and procurement of such products. Additionally, we examined the correlation between socio-demographic factors, cultural beliefs, and the use of herbal medicine. Data were analyzed using SPSS, and categorical data were presented as frequencies and percentages. Associations were assessed using chi-square, Fisher's exact tests, and binary logistic regression (p < 0.05). RESULTS: This study included 381 participants, of which 48.1% were females and 31.4% were aged 20-30. The majority of participants were aware of the practice of herbal medicine and the prevalence of its usage was 85.9%. Peppermint, acacia, hibiscus, ginger, and fenugreek were the most commonly used remedies. Chi-square and Fisher's exact testing revealed that the participants' gender and beliefs in the safety and effectiveness of herbal medicines were significantly associated with herbal medicine usage (p < 0.05). Binary logistic regression analysis showed that only the perception of herbal medicine's safety was an independent predictor of its usage (p-value 0.038). CONCLUSION: This study reported a very high prevalence of herbal medicine usage, highlighting the acceptability of Sudanese adults towards herbal medicine usage. This prompts further studies to explore their safety, efficacy, and the possibility of their integration into mainstream healthcare practices and policies.

Determination of codon pattern and evolutionary forces acting on genes linked to inflammatory bowel disease.

Inflammatory bowel disease (IBD) is an inflammatory disorder of the gastrointestinal tract. The present study attempted to understand the codon usage preferences in genes associated with IBD progression. Compositional analysis, codon usage bias (CUB), Relative synonymous codon usage (RSCU), RNA structure, and expression analysis were performed to obtain a comprehensive picture of codon usage in IBD genes. Compositional analysis of 62 IBD-associated genes revealed that G and T are the most and least abundant nucleotides, respectively. ApG, CpA, and TpG dinucleotides were overrepresented or randomly used, while ApC, CpG, GpT, and TpA dinucleotides were either underrepresented or randomly used in genes related to IBD. The codons influencing the codon usage the most in IBD genes were CGC and AGG. A comparison of codon usage between IBD, and pancreatitis (non-IBD inflammatory disease) indicated that only codon CTG codon usage was significantly different between IBD and pancreatitis. At the same time, there were codons ATA, ACA, CGT, CAA, GTA, CCT, ATT, GCT, CGG, TTG, and CAG for whom codon usage was significantly different for IBD and housekeeping gene sets. The results suggest similar codon usage in at least two inflammatory disorders, IBD and pancreatitis. The analysis helps understand the codon biology, factors affecting gene expression of IBD-associated genes, and the evolution of these genes. The study helps reveal the molecular patterns associated with IBD.

Comparative Analysis of Codon Usage Bias in Six Eimeria Genomes.

The codon usage bias (CUB) of genes encoded by different species' genomes varies greatly. The analysis of codon usage patterns enriches our comprehension of genetic and evolutionary characteristics across diverse species. In this study, we performed a genome-wide analysis of CUB and its influencing factors in six sequenced Eimeria species that cause coccidiosis in poultry: Eimeria acervulina, Eimeria necatrix, Eimeria brunetti, Eimeria tenella, Eimeria praecox, and Eimeria maxima. The GC content of protein-coding genes varies between 52.67% and 58.24% among the six Eimeria species. The distribution trend of GC content at different codon positions follows GC1 > GC3 > GC2. Most high-frequency codons tend to end with C/G, except in E. maxima. Additionally, there is a positive correlation between GC3 content and GC3s/C3s, but a significantly negative correlation with A3s. Analysis of the ENC-Plot, neutrality plot, and PR2-bias plot suggests that selection pressure has a stronger influence than mutational pressure on CUB in the six Eimeria genomes. Finally, we identified from 11 to 15 optimal codons, with GCA, CAG, and AGC being the most commonly used optimal codons across these species. This study offers a thorough exploration of the relationships between CUB and selection pressures within the protein-coding genes of Eimeria species. Genetic evolution in these species appears to be influenced by mutations and selection pressures. Additionally, the findings shed light on unique characteristics and evolutionary traits specific to the six Eimeria species.

Paired organoids from primary gastric cancer and lymphatic metastasis are useful for personalized medicine.

BACKGROUND: Organoids are approved by the US FDA as an alternative to animal experiments to guide drug development and for sensitivity screening. Stable organoids models of gastric cancer are desirable for personalized medicine and drug screening. METHODS: Tumor tissues from a primary cancer of the stomach and metastatic cancer of the lymph node were collected for 3D culture. By long-term culture for over 50 generations in vitro, we obtained stably growing organoid lines. We analyzed short tandem repeats (STRs) and karyotypes of cancer cells, and tumorigenesis of the organoids in nude mice, as well as multi-omics profiles of the organoids. A CCK8 method was used to determine the drugs sensitivity to fluorouracil (5-Fu), platinum and paclitaxel. RESULTS: Paired organoid lines from primary cancer (SPDO1P) and metastatic lymph node (SPDO1LM) were established with unique STRs and karyotypes. The organoid lines resulted in tumorigenesis in vivo and had clear genetic profiles. Compared to SPDO1P from primary cancer, upregulated genes of SPDO1LM from the metastatic lymph node were enriched in pathways of epithelial-mesenchymal transition and angiogenesis with stronger abilities of cell migration, invasion, and pro-angiogenesis. Based on drug sensitivity analysis, the SOX regimen (5-Fu plus oxaliplatin) was used for chemotherapy with an optimal clinical outcome. CONCLUSIONS: The organoid lines recapitulate the drug sensitivity of the parental tissues. The paired organoid lines present a step-change toward living biobanks for further translational usage.

Debate: How the business model of social media fuels the need for greater moderation.

The current business model of social media companies is to keep users engaged and on screen, so that data can be obtained from them, and targeted advertisements sold. To maintain user engagement, recommender systems (algorithms) promote content, which can be extreme, and includes mental health content. Extreme mental health content, such as self-harm images, can be pushed to any user and then more and more extreme content can be pushed to them. The normalisation, amplification or glamorisation of harmful content can have negative impacts upon the user, who may struggle to express what is happening online to anyone. In contrast with the views of Zhang et al. (Child and Adolescent Mental Health, 2024, 29, 104), without greater, timely moderation of harmful content, the promotion of self-harm, suicide and eating disorders will continue on social media, with potentially devastating consequences.

Plastome evolution of Engelhardia facilitates phylogeny of Juglandaceae.

BACKGROUND: Engelhardia (Juglandaceae) is a genus of significant ecological and economic importance, prevalent in the tropics and subtropics of East Asia. Although previous efforts based on multiple molecular markers providing profound insights into species delimitation and phylogeography of Engelhardia, the maternal genome evolution and phylogeny of Engelhardia in Juglandaceae still need to be comprehensively evaluated. In this study, we sequenced plastomes from 14 samples of eight Engelhardia species and the outgroup Rhoiptelea chiliantha, and incorporated published data from 36 Juglandaceae and six outgroup species to test phylogenetic resolution. Moreover, comparative analyses of the plastomes were conducted to investigate the plastomes evolution of Engelhardia and the whole Juglandaceae family. RESULTS: The 13 Engelhardia plastomes were highly similar in genome size, gene content, and order. They exhibited a typical quadripartite structure, with lengths from 161,069 bp to 162,336 bp. Three mutation hotspot regions (TrnK-rps16, ndhF-rpl32, and ycf1) could be used as effective molecular markers for further phylogenetic analyses and species identification. Insertion and deletion (InDels) may be an important driving factor for the evolution of plastomes in Juglandoideae and Engelhardioideae. A total of ten codons were identified as the optimal codons in Juglandaceae. The mutation pressure mostly contributed to shaping codon usage. Seventy-eight protein-coding genes in Juglandaceae experienced relaxed purifying selection, only rpl22 and psaI genes showed positive selection (Ka/Ks > 1). Phylogenetic results fully supported Engelhardia as a monophyletic group including two sects and the division of Juglandaceae into three subfamilies. The Engelhardia originated in the Late Cretaceous and diversified in the Late Eocene, and Juglandaceae originated in the Early Cretaceous and differentiated in Middle Cretaceous. The phylogeny and divergence times didn't support rapid radiation occurred in the evolution history of Engelhardia. CONCLUSION: Our study fully supported the taxonomic treatment of at the section for Engelhardia species and three subfamilies for Juglandaceae and confirmed the power of phylogenetic resolution using plastome sequences. Moreover, our results also laid the foundation for further studying the course, tempo and mode of plastome evolution of Engelhardia and the whole Juglandaceae family.

Antibiotic usage patterns in COVID-19 patients in five tertiary hospitals from Bangladesh: A countrywide picture.

Objectives: Irrational and injudicious use of antibiotics in COVID-19 patients could be detrimental in a tropical country with a weak antibiotic stewardship policy such as Bangladesh. This study aimed to focus on the antibiotic usage patterns in COVID-19 patients in Bangladesh. Methods: This prospective observational study was performed from July 2020 to June 2021 in five tertiary hospitals in Bangladesh. Data on demographic profile, disease severity, and antibiotic usage were collected directly from the patients' hospital documents. Results: A total of 3486 (94.4%) patients were treated with at least one antibiotic; 3261 (93.6%) patients received a single antibiotic, and 225 (6.5%) received multiple antibiotics. The most used antibiotics were ceftriaxone (37.3%), co-amoxiclav (26.3%), azithromycin (10.6%), and meropenem (10.3%). According to the World Health Organization AWaRe categorization, most (2260; 69.6%) of the antibiotics prescribed in this study belonged to the "Watch" group. Culture and sensitivity reports were available in 111 cases from one center. Only 18.9% of the patients were found to be co-infected with multi-drug-resistant bacteria (52.4% yield from sputum, 28.6% from urine, and 14.3% from blood). Conclusions: Strict antibiotic prescribing policy and antibiotic stewardship should be implemented immediately to limit the future threat of antimicrobial resistance in countries such as Bangladesh.

Exploring usage pattern variation of free-floating bike-sharing from a night travel perspective.

Free-floating bike sharing (FFBS) attracts increasing research focusing on usage patterns, determining factors, and integrated transportation. However, existing researchers tend to overlook the variation in usage characteristics over various time ranges, particularly the usage pattern at night. This paper is conducted to fill the gap through a series of analysis approaches on FFSB in Beijing. The characteristics of the usage pattern, including time-varying usage and traveling distance distributions, are initially illustrated. Subsequently, the spatial patterns of FFBS are visualized and thoroughly analyzed in different time ranges and origin-destination (O-D) flows. A statistical model evaluating the environmental effects of FFBS trips revealed the source of FFBS usage. In addition to focusing on the nighttime, the usage patterns varying day and night are compared through the analysis. The findings explain the usage pattern variation and the unique pattern at night, providing valuable insight for improving the management of the FFBS system.

Navigating challenges and opportunities: Nursing student's views on generative AI in higher education.

AIM: This qualitative study aims to explore the perspectives of nursing students regarding the application and integration of generative Artificial Intelligence (AI) tools in their studies. BACKGROUND: With the increasing prevalence of generative AI tools in academic settings, there is a growing interest in their use among students for learning and assessments. DESIGN: Employing a qualitative descriptive design, this study used semi-structured interviews with nursing students to capture the nuanced insights of the participants. METHODS: Semi-structured interviews were digitally recorded and then transcribed verbatim. The research team reviewed all the data independently and then convened to discuss and reach a consensus on the identified themes. RESULTS: This study was conducted within the discipline of nursing at a regional Australian university. Thirteen nursing students, from both first and second year of the programme, were interviewed as part of this study. Six distinct themes emerged from the data analysis, including the educational impact of AI tools, equitable learning environment, ethical considerations of AI use, technology integration, safe and practical utility and generational differences. CONCLUSIONS: This initial exploration sheds light on the diverse perspectives of nursing students concerning the incorporation of generative AI tools in their education. It underscores the potential for both positive contributions and challenges associated with the integration of generative AI in nursing education and practice.

Comparative proteomics uncovers low asparagine content in Plasmodium tRip-KO proteins.

tRNAs are not only essential for decoding the genetic code, but their abundance also has a strong impact on the rate of protein production, folding, and on the stability of the translated messenger RNAs. Plasmodium expresses a unique surface protein called tRip, involved in the import of exogenous tRNAs into the parasite. Comparative proteomic analysis of the blood stage of wild-type and tRip-KO variant of P. berghei parasites revealed that downregulated proteins in the mutant parasite are distinguished by a bias in their asparagine content. Furthermore, the demonstration of the possibility of charging host tRNAs with Plasmodium aminoacyl-tRNA synthetases led us to propose that imported host tRNAs participate in parasite protein synthesis. These results also suggest a novel mechanism of translational control in which import of host tRNAs emerge as regulators of gene expression in the Plasmodium developmental cycle and pathogenesis, by enabling the synthesis of asparagine-rich regulatory proteins that efficiently and selectively control the parasite infectivity.

Repetitive Sequences, Codon Usage Bias and Phylogenetic Analysis of the Plastome of Miliusa glochidioides.

Annonaceae is the largest family in Magnoliales, exhibiting the greatest diversity among and within genera. In this study, we conducted an analysis of repetitive sequences and codon usage bias in the previously acquired plastome of Miliusa glochidioides. Using a concatenated dataset of shared genes, we constructed the phylogenetic relationships among 27 Annonaceae species. The results showed that the size of the plastomes in the Annonaceae ranged from 159 to 202 kb, with the size of the inverted repeat region ranging from 40 to 65 kb. Within the plastome of M. glochidioides, we identified 42 SSRs, 36 tandem repeats, and 9 dispersed repeats. These SSRs consist of three nucleotide types and eight motif types, with a preference for A/T bases, primarily located in the large single-copy regions and intergenic spacers. Tandem and dispersed repeat sequences were predominantly detected in the IR region. Through codon usage bias analysis, we identified 30 high-frequency codons and 11 optimal codons. The plastome of M. glochidioides demonstrated relatively weak codon usage bias, favoring codons with A/T endings, primarily influenced by natural selection. Phylogenetic analysis revealed that all four subfamilies formed monophyletic groups, with Cananga odorata (Ambavioideae) and Anaxagorea javanica (Anaxagoreoideae) successively nested outside Annonoideae + Malmeoideae. These findings improve our understanding of the plastome of M. glochidioides and provide additional insights for studying plastome evolution in Annonaceae.