Database Technology Research Articles

Systematic Review of Economic Evaluations of Systemic Treatments for Advanced and Metastatic Gastric Cancer.

Recent advances in the development of biomarker-directed therapy and immunotherapy, for advanced and metastatic gastric cancers, have the potential to improve survival and quality of life.Much attention has been directed towards second- and later-line treatments, and the landscape here is evolving rapidly. However, uncertainty in relative effectiveness, high costs and uncertainty in cost effectiveness represent challenges for decision makers. To identify economic evaluations for the second-line or later-line treatment of advanced and metastatic gastric cancer. Also, to assess key criteria (including model assumptions, inputs and outcomes), reporting completeness andmethodological quality to inform future cost-effectiveness evaluations. A systematic literature search (from database inception to 5 March 2023) of EconLit via EBSCOhost, Cochrane Library (restricted to National Health Service [NHS] Economic Evaluation Database and Health Technology Assessment [HTA] Database), Embase, MEDLINE and of grey literature was conducted. This aimed to identify systemic treatments that align with National Comprehensive Cancer Network (NCCN) and European Society for Medical Oncology (ESMO) Clinical Practice Guidelines. Data were collected on key criteria and on reporting completeness and methodological quality. A narrative synthesis focussed on cost-effectiveness and cost-of-illness studies. Outcomes of interest included total and incremental costs and outcomes (life-years and quality-adjusted life-years), ratios of incremental costs per unit outcome and other summary cost and outcome measures. Also, for cost-effectiveness studies, reporting completeness and the methodological quality were assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) and the Philips Checklist, respectively. A total of 19 eligible economic evaluations were identified (cost-effectiveness studies [n = 15] and cost-of-illness studies [n = 4]). There was a general lack of consistency in the methodological approaches taken across studies. In the main, the cost-effectiveness studies indicated that the intervention under consideration was more effective and more costly than the comparator(s). However, most interventions were not cost effective. No studies were fully compliant with reporting-completeness and methodological-quality requirements. Given the lack of consistency in the approaches taken across cost-of-illness studies, outcomes could not be directly compared. To our knowledge, this is the first published systematic literature review that has qualitatively synthesised economic evaluations for advanced and metastatic gastric cancer. There were differences in the approaches taken across the cost-effectiveness studies and the cost-of-illness studies. The conclusions of most of the cost-effectiveness studies were consistent despite identified differences in approaches. In the main, the interventions under consideration were not cost effective, presenting challenges to sustainability and affordability. We highlight a requirement for cost-effectiveness evaluations and for second-line or later-line treatments of advanced and metastatic gastric cancer that consider all relevant comparators and that are compliant with reporting-completeness and methodological-quality requirements. By addressing the methodological gaps identified here, future healthcare decision-making, within the context of this rapidly changing treatment landscape, would be better informed. CRD42023405951.

Challenges and strategies of software engineering in big data environment

Software engineering in a big data environment involves developing and maintaining large-scale, scalable, data-intensive applications in a rapidly evolving technology domain. As data volumes grow exponentially, so do the requirements for software systems to process and analyze this data. These systems need to be able to efficiently store, retrieve, process and analyze data collected from sources such as social media, IoT devices, enterprises and scientific research. Software engineers must address challenges including data heterogeneity and quality, scalability of data storage and computation, and real-time processing of high-speed data streams. With the evolution of technology, new architecture and database technologies have emerged, such as NoSQL and distributed computing frameworks. These technologies have challenged traditional methods of software engineering practice and also brought new design and implementation strategies.

Health Security and Cybersecurity: Analysis of Interdependencies

The development of medical digital platforms with data on patients, medical institutions and medicines, the growing use of IoT devices in medicine, the development of telemedicine accelerated by the COVID-19 pandemic, the growth of big data-based treatment technologies – all this makes it necessary to ensure reliable cyberdefence in the field of public health, maintain the confidentiality of financial information of clinics and health insurance companies, protect databases with patient records from hacking, and ensure secure communication. The article uses economic and mathematical modelling to study the relationship between two well-known international indexes and their components: The Global Health Security Index (GHSI) and the Global Cybersecurity Index (GCSI) for 190 countries in 2021. The input base included 6 cybersecurity subindexes and 7 health security subindexes for 2021. Based on the iterative divisive k-means method, all countries were grouped into 3 clusters. The first cluster includes 55 countries (medium levels of the studied indexes), the second – 49 (high levels), the third – 86 (low levels). The feasibility of dividing into clusters and choosing their optimal number is substantiated by means of variance analysis. Via the methods of Sigma-restricted parameterisation, Univariate Tests of Significance, Pareto Chart of t-Values and correlation analysis, all factors, without exception, proved to be relevant. Due to the OLS method, multiple linear regressions describing the relationships between various components of these indexes and their integral values are generated. The statistical significance of the factors included in the model is confirmed, and the model itself is tested for adequacy and accuracy. On the basis of correlation analysis, existence and magnitude of statistical relationship between the components of these indexes are revealed. The strongest correlations are observed between the integral values of these indexes, as well as between pairs of subindexes: 1) Legal Measures (GHSI component) and Prevention (GCSI component); 2) Technical Measures (GHSI component) and Detection and Reporting (GCSI component). To identify the causal relationship between the groups of factors, a canonical analysis was carried out, which showed the GHSI parameters are causal and the GCSI parameters are resultant. The linear regression model showed a significant positive relationship between the GHSI and GCSI indexes.

P-770 Health outcomes of taiwanese infants after different embryo stages in both fresh and frozen transfer procedures

Abstract Study question Does freezing embryos have any effects on neonatal and postnatal health? Does extended embryo culture have any impact on these health outcomes? Summary answer frozen embryo transfer (FET) infants were more likely be large gestational age, but with lower odds of recurrent upper respiratory infection and dermatitis. What is known already Infants born from frozen embryo transfers tend to have higher birth weights and are less likely to be small for gestational age. There are no notable variations in congenital malformations or child development. However, there’s a lack of long-term follow-up data. Study design, size, duration In this retrospective cohort study conducted in Taiwan, data from the national assisted reproductive technology (ART) database spanning from January 1st, 2013, to December 31st, 2017, was utilized. The study categorizes cases into fresh and frozen embryo transfer groups, with additional subdivisions based on cleavage and blastocyst stage transfers. Singletons born in each group were then linked to the National Health Insurance Database for follow-up on health conditions until December 13th, 2018. Participants/materials, setting, methods We collected data on singleton births resulting from assisted reproductive technology procedures performed in Taiwan from January 1st, 2013, to December 31st, 2017. Our analysis included 10,669 eligible infants. We investigated factors such as gestational age, birth weight, and various systemic diseases, encompassing neurological disorders, facial and eye abnormalities, cardiovascular diseases, respiratory disease, gastrointestinal disorders, renal system disorders, musculoskeletal disorders, skin and submucous disorders, chromosomal abnormalities, infections, and birth injuries. Main results and the role of chance Compared to infants conceived from fresh embryos, those born to mothers who underwent frozen embryo transfer (FET) were more likely to be large for gestational age (OR 1.63, 95% CI 1.30-2.04 for blastocyst and OR 1.69, 95% CI 1.36-2.10 for cleavage stage), and to have a neonatal birth weight of ≥ 4000g (OR 1.88, 95% CI 1.15-3.07 for blastocyst and OR 2.64, 95% CI 1.63-4.28 for cleavage stage). However, they were less likely to be small for gestational age (OR 0.68, 95% CI 0.56-0.82 for blastocyst and OR 0.68, 95% CI 0.56-0.82 for cleavage stage). Infants born from frozen embryo transfers also experienced lower odds of recurrent upper respiratory infection (OR 0.72, 95% CI 0.60-0.86 for blastocyst and OR 0.60, 95% CI 0.52-0.69 for cleavage stage), as well as eczema and dermatitis (OR 0.75, 95% CI 0.62-0.91 for blastocyst and OR 0.75, 95% CI 0.62-0.91 for cleavage stage). There was no observed effect on infant health between blastocyst and cleavage stage embryo transfers. Limitations, reasons for caution Our retrospective study design may not possess the same level of rigor as a randomized controlled trial (RCT). The follow-up period in our study ranged from 1 to 5 years, and some diseases may not manifest within this short-term timeframe, necessitating longer-term tracking for more comprehensive observation. Wider implications of the findings The result highlights the potential benefits of FET in reducing the risk of low birth weight. The observed decrease respiratory infections and skin disorders among FET infants suggests a possible advantage in immune system development or environmental adaptability. Further research with longer-term tracking is warranted. Trial registration number KMUHIRB-E(I)-20210222

O-159 Domestic and cross-border reproductive care among same-sex male intended parents: comparing live birth rates (LBRs) in a national retrospective cohort in the United States (U.S.)

Abstract Study question How common is cross-border reproductive care (CBRC) in the U.S. among international same-sex male intended parents? Do CBRC LBRs differ compared to domestic counterparts? Summary answer A substantial number of international same-sex male intended parents seek CBRC in the U.S. LBRs per transfer are reassuring and comparable to domestic counterparts. What is known already Same-sex male intended parents often work with a gestational carrier to have a genetically related child(ren); however, restrictive and/or discriminatory policies in their home countries may prevent access. Intended parents may seek CBRC in countries like the U.S. due to favorable regulations. However, the volume of CBRC activity among same-sex male intended parents has been difficult to estimate accurately due to poor sexual orientation data collection. Capitalizing on national databases that identify same-sex male intended parents is the first step to describing CBRC trends and their associated outcomes in a marginalized population that is often excluded in the literature. Study design, size, duration This national retrospective cohort study included U.S. based gestational carrier embryo transfer cycles from the Society for Assisted Reproductive Technology (SART) database in the years 2017–2020. Among participating clinics (n = 488), 6,168 cycles among same-sex male intended parents were identified. Relative risks (RRs) for LBRs per transfer were compared for cycles including domestic (i.e., U.S. based, n = 3,052) and internationally based (n = 3,080) patients. LBR and country data were missing for 546 and 36 cycles, respectively. Participants/materials, setting, methods The inclusion criteria were transfer cycles among male patients with male partners. Unadjusted and adjusted RRs for LBRs per transfer were calculated to compare domestic (reference) and internationally based groups using multivariable Poisson and logistic regression models with generalized estimating equations (GEEs). Models were adjusted for donor age, transfer type (i.e., fresh, frozen), day of transfer, number of embryos transferred, male infertility, and the use of intracytoplasmic sperm injection, assisted hatching, and preimplantation genetic testing. Main results and the role of chance Between 2017 and 2020, 6,168 cycles with an embryo transfer to a gestational carrier occurred among same-sex male intended parents in the U.S. In half of the cycles, the U.S. was a destination for CBRC (50%, n = 3,080) among which (48%, n = 1,540) were from one of 23 European countries. Regarding countries of residence for CBRC cycles (n = 3,080), those most reported were China (23%), France (19%), Israel (13%), Spain (11%), the United Kingdom (6.1%), Australia (4.1%), Germany (3.7%), Italy (2.6%), Switzerland (1.5%), Canada (1.5%), Belgium (1.4%), Singapore (1.0%), Taiwan (1.2%), Norway (1.2%) and The Netherlands (0.92%). Additionally, there were 76 cycles from 8 countries in South America (2.3%), 9 cycles from 6 countries in Africa (0.27%), and 3 cycles from 2 countries in Central America (0.089%). Most cycles were in the U.S. West (72%, n = 4,441; e.g., California [47%]). Median oocyte age was 26 years (interquartile range 24,28) with a majority of cycles involving single embryo transfer (78%, n = 4,802). LBR per transfer was 69% (n = 3,867). There was no statistical difference between live births for domestic versus CBRC cycles in the unadjusted (RR 1.14, 95% confidence interval [CI] 0.96, 1.37; p: 0.141) or adjusted regression models (aRR 1.06, 95% CI 0.86, 1.32; p: 0.572). Limitations, reasons for caution The SART surveillance system captures most (∼90%) but not all embryo transfer cycles in the US. Current gender identity data were not available. Only the individual identified as the patient (and not the partner) indicated country of residence. The rationale for pursuing CBRC in the U.S could not be explored. Wider implications of the findings This study highlights a substantial amount of CBRC among same-sex male intended parents choosing the US for reproductive care. Implementing improved sexual orientation and gender identity data collection strategies are critical to filling CBRC data deserts not only among same-sex male intended parents but all sexual and gender minority populations. Trial registration number Not applicable

P-162 Embryo transfer impact: a comprehensive national cohort analysis comparing maternal outcomes across varied embryo stages in fresh and frozen transfers

Abstract Study question What is the ideal choice between fresh and frozen embryos transfer, and should the transfer be done at the cleavage or blastocyst stage? Summary answer This study highlights the clinical pregnancy and live birth superiority of frozen embryo transfer in blastocysts but not in cleavage stage embryos. What is known already Frozen embryo transfer not only improves reproductive outcomes by increasing the chances of live birth and clinical pregnancy but also enhances safety by reducing the risks of OHSS and multiple pregnancies. Due to the consistent findings, there has been a growing discussion in recent years about whether it is advisable to adopt elective frozen embryo transfer as the standard practice. Study design, size, duration In this retrospective cohort study conducted in Taiwan, a comprehensive dataset from the national assisted reproductive technology (ART) database was utilized, covering the period from January 1st, 2013, to December 31st, 2017. The final cohort study encompassed eligible 51762 female participants who had undergone ART and embryo transfer. Pregnancy outcomes and maternal complications during the follow-up were assessed using the population registry dataset from January 1st, 2013, to December 31st, 2018. Participants/materials, setting, methods The study categorizes cases into groups based on whether they underwent fresh or frozen embryo transfers, with additional subgroups based on cleavage stage and blastocyst stage transfers. Exposure variables include clinical pregnancy rate, live birth rate, ovarian hyperstimulation syndrome (OHSS), pregnancy-induced hypertension, gestational diabetes mellitus (DM), placenta previa, placental abruption, and preterm premature rupture of membranes (PPROM). Main results and the role of chance For pregnancy outcomes, frozen blastocyst transfers exhibited higher rates of clinical pregnancy (OR 1.33, 95%CI 1.25-1.42) and live births (OR 1.27, 95%CI 1.19-1.36) when compared to fresh blastocyst transfers. However, frozen cleavage stage transfers had lower rates of clinical pregnancy (OR 0.73, 95%CI 0.69-0.77) and live births (OR 0.79, 95%CI 0.74-0.84) compared to fresh cleavage stage transfers. For maternal complications, frozen embryo transfers were associated with reduced risks of OHSS (OR 0.02, 95%CI 0.02-0.03 for blastocyst and OR 0.05, 95%CI 0.03-0.09 for cleavage stage) compared to fresh embryo transfers, but were linked to a higher risk of pregnancy-induced hypertension (OR 1.43, 95%CI 1.19-1.73 for blastocyst and OR 1.23, 95%CI 1.29-1.82 for cleavage stage). No significant differences were observed in the incidence of gestational DM and PPROM among the various transfer groups. Limitations, reasons for caution Our retrospective study design may not offer the same level of rigor as a randomized controlled trial. Furthermore, the reproductive database did not provide detailed information on specific endometrial preparation methods (such as hormone replacement therapy or natural cycle), which could potentially influence implantation outcomes. Wider implications of the findings The freeze-all strategy may not be suitable for universal application. When embryos can develop to the blastocyst stage, frozen embryo transfer is a favorable choice, but embryos can only develop to the cleavage stage, fresh embryo transfer becomes a more reasonable option. Trial registration number KMUHIRB-E(I)-20210222

Improvement of volatile switching in scaled silicon nanofin memristor for high performance and efficient reservoir computing.

Conductive-bridge random access memory can be used as a physical reservoir for temporal learning in reservoir computing owing to its volatile nature. Herein, a scaled Cu/HfOx/n+-Si memristor was fabricated and characterized for reservoir computing. The scaled, silicon nanofin bottom electrode formation is verified by scanning electron and transmission electron microscopy. The scaled device shows better cycle-to-cycle switching variability characteristics compared with those of large-sized cells. In addition, synaptic characteristics such as conductance changes due to pulses, paired-pulse facilitation, and excitatory postsynaptic currents are confirmed in the scaled memristor. High-pattern accuracy is demonstrated by deep neural networks applied in neuromorphic systems in conjunction with the use of the Modified National Institute of Standards and Technology database. Furthermore, a reservoir computing system is introduced with six different states attained by adjusting the amplitude of the input pulse. Finally, high-performance and efficient volatile reservoir computing in the scaled device is demonstrated by conductance control and system-level reservoir computing simulations.

Deep Learning-Based Analysis of Emotional and Content Relevance Between Bullet Screens and Subtitles as Movie Narrative Medium

This study borrows elements of film text in the field of film studies to develop the potential of data analysis using AI algorithms, while aiming to explore the emotional and content relevances between the two narrative mediums in film, bullet screens and subtitles, as well as the narrative effect variations that they bring about. The film sample Forever Young was analyzed by deep learning, data analysis, and knowledge discovery algorithms and tools. The BERT model was used to quantify the intensity of emotions and conduct fine-grained emotional classification of film characters. Emotion curves are plotted based on time series data. Thematic words are extracted by the LDA algorithm, and text similarity is computed using Word2Vec. The study found differences in emotional expression between bullet screens and subtitles, and they also exhibit strong emotional and content relevances. Yet, this correlation is not only influenced by temporal deviation factors but also by specific emotional types, different stages of story development, and the collective emotions of online views. The conclusion suggests that the effective collection of plot metronomes in film narratives helps reveal crucial plot nodes and emotional trends in films that cause obvious emotional changes, and placing them appropriately is fundamental for continuously attracting and retaining viewers’ attention. The interaction between bullet comments and subtitles is not only about emotional expression but also enhances the effectiveness of the film narrative. Overall, this study demonstrates the importance of database logic and technology in understanding and expressing film emotions and meanings, and providing new ideas and methods for enhancing film narrative effectiveness.

AI-Augmented LangChain: Facilitating Natural Language SQL Queries for Non-Technical Users

This study explores the potential of LangChain, a framework for constructing applications with advanced language models, to translate natural language queries into executable SQL code. Study propose an innovative LangChain-based architecture that receives a natural language query, analyzes it with a language model, and generates the corresponding SQL statement for database querying. This approach aims to empower non-technical users, facilitate inter-team collaboration, and enable data-informed decision-making. However, challenges persist, including managing complex queries and grasping domain-specific terminology. This research investigates the methodology and system design of our proposed natural language interface for databases, leveraging LangChain and extensive language models. Study also explore the possibilities and potential applications of this system, as well as future research avenues for enhancing its functionalities and addressing current constraints. By integrating advanced natural language processing with database technologies, this research aims to enable inclusive and powerful data querying experiences.

Characteristics of Scythian Weapon Ornamentation as a Reflection of Peaceful Contacts between Cultures (possibility of using database technology)

Characteristics of Scythian Weapon Ornamentation as a Reflection of Peaceful Contacts between Cultures (possibility of using database technology)

Synaptic plasticity and associative learning in IGZO-based synaptic transistor

The increasing demand for efficient data access in high-performance computing systems has emphasized the limitations of the traditional von Neumann architecture, particularly due to the von Neumann bottleneck. This bottleneck arises from the significant power and time consumption required for data transfer between the central processing units and memory, impeding overall system efficiency. Neuromorphic computing offers a promising alternative. Neuromorphic systems emulate biological neurons and synapses, enabling parallel data processing and potentially overcoming the limitations of traditional computing architectures. This study focuses on synaptic transistors with In–Ga–Zn-O (IGZO) channels and TaOx charge trapping layers (Ox-CTL) to enhance neuromorphic computing capabilities. The devices were fabricated using reactive sputtering and atomic layer deposition, followed by comprehensive structural and compositional analyses. Experimental results demonstrated significant hysteresis, high on/off ratios, and multibit conductance states, suggestive of effective charge trapping and detrapping mechanisms. Evaluation through potentiation, depression, and excitatory postsynaptic current (EPSC) measurements, along with simulations using the Modified National Institute of Standards and Technology (MNIST) database, revealed improved pattern recognition accuracy. Additionally, associative learning experiments modeled after Pavlov’s dog conditioning emphasized the device's capability for both long- and short-term memory retention. These findings suggest that IGZO-based synaptic transistors are promising candidates for next-generation neuromorphic computing systems, offering enhanced data processing efficiency and adaptability.

Beyond Diagnosis and Comorbidities-A Scoping Review of the Best Tools to Measure Complexity for Populations with Mental Illness.

Beyond the challenges of diagnosis, complexity measurement in clients with mental illness is an important but under-recognized area. Accurate and appropriate psychiatric diagnoses are essential, and further complexity measurements could contribute to improving patient understanding, referral, and service matching and coordination, outcome evaluation, and system-level care planning. Myriad conceptualizations, frameworks, and definitions of patient complexity exist, which are operationalized by a variety of complexity measuring tools. A limited number of these tools are developed for people with mental illness, and they differ in the extent to which they capture clinical, psychosocial, economic, and environmental domains. Guided by the PRISMA Extension for Scoping Reviews, this review evaluates the tools best suited for different mental health settings. The search found 5345 articles published until November 2023 and screened 14 qualified papers and corresponding tools. For each of these, detailed data on their use of psychiatric diagnostic categories, definition of complexity, primary aim and purpose, context of use and settings for their validation, best target populations, historical references, extent of biopsychosocial information inclusion, database and input technology required, and performance assessments were extracted, analyzed, and presented for comparisons. Two tools-the INTERMED, a clinician-scored and multiple healthcare data-sourced tool, and the VCAT, a computer-based instrument that utilizes healthcare databases to generate a comprehensive picture of complexity-are exemplary among the tools reviewed. Information on these limited but suitable tools related to their unique characteristics and utilities, and specialized recommendations for their use in mental health settings could contribute to improved patient care.

Efficacy and Safety of Oral Semaglutide in the Treatment of Type 2 Diabetes: A Meta-Analysis.

This study aims to systematically review the efficacy and safety of oral semaglutide in the treatment of type 2 diabetes mellitus (T2DM) and provide a basis for the rational use of the drug in clinical practice. From the database's inception until February 2023, a systematic search was conducted in PubMed, Embase, the Cochrane Library, Web of Science, China National Knowledge Infrastructure, Wanfang Database, and China Science and Technology Journal Database to identify randomized controlled trials (RCTs) comparing the efficacy of oral semaglutide at dosages of 3, 7, and 14 mg (trial group) against placebo or other positive control drugs (control group) for the treatment of T2DM. Following literature screening and data extraction, the bias risk assessment tool in the Cochrane reviewer handbook 5.1.0 was used to evaluate the literature quality. Meta-analysis was carried out with RevMan 5.4 software. A total of 10 RCTs with 9541 patients were included. The meta-analysis results revealed that compared with placebo or positive control drugs (empagliflozin, sitagliptin, liraglutide, and dulaglutide), oral semaglutide significantly reduced the hemoglobin A1c (HbA1c) in patients (compared to placebo, 3 mg [MD = -0.61%, 95% CI (-0.89, -0.34)], 7 mg [MD = -1.12%, 95% CI (-1.45, -0.79)], 14 mg [MD = -1.08%, 95% CI (-1.32, -0.85)]; compared to positive control drugs (7 mg [MD = -0.26%, 95% CI (-0.38, -0.15)], 14 mg [MD = -0.37%, 95% CI (-0.52, -0.23)]). Oral semaglutide also showed certain advantages over placebo or positive control drugs in terms of weight loss, HbA1c reduction achievement rate, fasting plasma glucose level, and body mass index with overall dose-dependent efficacy. The incidence of nausea, diarrhea, and vomiting caused by oral semaglutide was higher than that of the placebo or positive control drugs, and the incidence of appetite decrease or constipation was higher than that of the placebo. Severe or symptomatic hypoglycemic episodes were reduced compared to positive control drugs. Oral semaglutide has definite clinical benefits of reducing blood glucose, body weight, reducing the risk of hypoglycemia, and with good safety.

Embryo transfer impact: a comprehensive national cohort analysis comparing maternal and neonatal outcomes across varied embryo stages in fresh and frozen transfers.

The utilization of frozen embryo transfer not only enhances reproductive outcomes by elevating the likelihood of live birth and clinical pregnancy but also improves safety by mitigating the risks associated with ovarian hyperstimulation syndrome (OHSS) and multiple pregnancies. There has been an increasing debate in recent years regarding the advisability of making elective frozen embryo transfer the standard practice. Our study aims to determine the optimal choice between fresh and frozen embryo transfer, as well as whether the transfer should occur at the cleavage or blastocyst stage. In this retrospective cohort study conducted in Taiwan, data from the national assisted reproductive technology (ART) database spanning from January 1st, 2013, to December 31st, 2017, were analyzed. The study included 51,762 eligible female participants who underwent ART and embryo transfer. Pregnancy outcomes, maternal complications, and singleton neonatal outcomes were evaluated using the National Health Insurance Database from January 1st, 2013, to December 31st, 2018. Cases were categorized into groups based on whether they underwent fresh or frozen embryo transfers, with further subdivision into cleavage stage and blastocyst stage transfers. Exposure variables encompassed clinical pregnancy rate, live birth rate, OHSS, pregnancy-induced hypertension, gestational diabetes mellitus (DM), placenta previa, placental abruption, preterm premature rupture of membranes (PPROM), gestational age, newborn body weight, and route of delivery. Frozen blastocyst transfers showed higher rates of clinical pregnancy (CPR) and live births (LBR) compared to fresh blastocyst transfers. Conversely, frozen cleavage stage transfers demonstrated lower rates of clinical pregnancy and live birth compared to fresh cleavage stage transfers. Frozen embryo transfers were associated with reduced risks of OHSS but were linked to a higher risk of pregnancy-induced hypertension compared to fresh embryo transfers. Additionally, frozen embryo transfers were associated with a higher incidence of large for gestational age infants and a lower incidence of small for gestational age infants. The freeze-all strategy may not be suitable for universal application. When embryos can develop to the blastocyst stage, FET is a favorable choice, but embryos can only develop to the cleavage stage, fresh embryo transfer becomes a more reasonable option.

Verification of neuromorphic processing accuracy against non‐ideal errors in synapse‐based neural network systems

AbstractThe synapse‐based neuromorphic systems for deep neural network (DNN) require neuron read/update circuit blocks which specifications depend on the synapse components. In this study, we implemented and verified the dedicated circuit system to operate the three‐terminal analog synaptic memory cells, electrochemical random access memory (ECRAM), for multi‐bit analog neuromorphic computing. In addition, we analyzed the impact of the noise/offset generated by the neuron circuit systems and synapse cell arrays, which can affect the neuromorphic processing accuracy, by using the Modified National Institute of Standards and Technology database (MNIST) dataset. The experiments with MNIST datasets were conducted in two ways: by performing ideal inference simulations with MATLAB and experiments with the neuromorphic system board. The results of the ideal inference simulation and experiment were 97.4% and 96.92%, respectively. The accuracy of 97.31% was measured when the weight of the hidden layer was set with the fixed resistance values to confirm the effectiveness of the synapse cells. According to the results, the effects of synapse cells and neuron circuits to the processing accuracy were 0.09% and 0.39%, respectively. Also, this MNIST experiments verified that about 10% or smaller variations of weight values in the synapse cells lead to negligible effects on processing accuracy through the training and inference.

Pan-Cancer Analysis and Experimental Validation of CEND1 as a Prognostic and Immune Infiltration-Associated Biomarker for Gliomas.

Cell cycle exit and neuronal differentiation 1 (CEND1), highly expressed in the brain, is a specific transmembrane protein which plays a tumor suppressor role. This study is performed to investigate the role of CEND1 in various cancers through pan-cancer analysis, and further investigate its functions in gliomas by cell experiments. The expression and subcellular localization of CEND1 in different cancer types were analyzed utilizing the data from the GEPIA, UCSC, UALCAN and HPA databases. Relationships of CEND1 expression with prognosis, immunomodulation-related genes, immune checkpoint genes, microsatellite instability (MSI), tumor mutation burden (TMB) and RNA modifications were analyzed based on the TCGA database. The ESTIMATE algorithm was utilized to evaluate tumors' StromalScore, Immune Score, and ESTIMATES Score. The cBioPortal database was employed to analyze the categories and frequencies of CEND1 gene alterations. Biological functions and co-expression patterns of CEND1 in gliomas were explored using the LinkedOmics database, and Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted. The interactions between CEND1 and drugs were explored employing the Comparative Toxicogenomics Database and molecular docking technology. Cell experiments were conducted to analyze triptonide's effects on glioma cells through CCK-8, flow cytometry and qRT-PCR. CEND1 was lowly expressed in gliomas, and high CEND1 expression was correlated to better overall survival of glioma patients (HR = 0.65, P = 0.02). Deep deletion was the main type of hereditary change of CEND1 mutation. CEND1 expression was markedly associated with immune infiltration, TMB, MSI, and RNA modification in various tumors (r > 0.3, P < 0.05). CEND1 co-expressed genes in gliomas were markedly correlated with immune responses and cell cycle (FDR < 0.05). Triptonide could bind well to CEND1 (-5.0kcal/mol), and triptonide could facilitate CEND1 expression in glioma cells and cell apoptosis, and block the cell cycle progression (P < 0.05). CEND1 serves as a potential biomarker for pan-cancer. Particularly in gliomas, CEND1 is a key regulator of cell apoptosis and cell cycle, and a potential target for glioma treatment.

Bridging technology and care: integrating web-based PROMs in mental health services for refugees: a study on clinician training and technology adoption.

This study explores the integration of a web-based electronic database technology containing patient-reported outcome measures (PROMs) with electronic health records for refugees with PTSD, emphasizing the systematic inclusion of patient perspectives in clinical decision-making. Our research addresses the notable gap in literature regarding training clinicians for the competent integration of health information technology in healthcare. The training program developed aimed at equipping clinicians, particularly inexperienced with technology, to effectively utilize an electronic PROM system for collecting systematic patient information. Our study is set in the context of the Mental Health Services (MHS) in Denmark, focusing on a specialized clinic for treating trauma-affected refugees. The multidisciplinary team involved in this project reflects a wide range of healthcare professionals. The training program employed a variety of activities over nearly 2 years, adapting to feedback and aiming to engage clinicians in continuous improvement processes. Analyzing qualitative data with thematic analysis we interpreted that the training's extended focus on discussion of the implementation process, with limited hands-on experience, potentially reinforced clinicians' hesitations toward new technology, rather than reducing them. Clinicians prioritized immediate concerns over potential long-term benefits. Despite this, their approach reflects a strong commitment to patient welfare and careful evaluation of new practices. Notably, there were also positive engagements with the technology, highlighting its potential in patient care. This study concludes that the successful integration of technology in clinical settings hinges on its alignment with clinicians' workflows, respect for their professional judgment, and clear benefits to patient care.

Review of the development of hydrological data quality control in Typhoon Committee Members

Nowadays, with the continual development of the science and technology applied in data observation, monitoring and collection, human has more and more means and channels to obtain various data, consequently, the amount of collected and stored data is also getting bigger and bigger. In recent years, hydro-meteorological data have multiplied in some Typhoon Committee (TC) Members. Data-based advanced technology applications in TC, such as application of Artificial Intelligent (AI) and impact-based typhoon disaster forecasting and early warning, has emerged one after another. A consistent and integrated data quality management system is crucial for ensuring accurate hydrological and meteorological analysis and prediction. Considering the importance and urgent necessary, TC working group on hydrology (WGH) conducted a cooperation project on data quality management in the past years with the major objective of improving the capacity of TC Members on integrated data quality control and processing. Despite the significant improvements, the uncertainties and difficulties in processing the full-elements of hydro-meteorological data still persist in hydro-meteorological data. To tackle these challenges and further enhance the data quality management system, the integration of AI technology shows great promise. By examining the data quality management system at World Meteorological Organization (WMO) as a starting point, this paper explored how related organizations in China, Japan, Malaysia, Philippines and Republic of Korea, manage the quality of hydro-meteorological data; reviewed the current status of hydro-meteorological data quality control in TC Members, and discussed the potential areas to be enhanced in future.

Bismuth-based ferroelectric memristive device induced by interface barrier for neuromorphic computing

The development of the Internet of Things (IoT) not only facilitates our lives but also dramatically grows data. Artificial synaptic devices appear to represent an emerging physical solution compared to the existing computational architectures. Memristive devices are of great interest with their high integration and low power consumption in the field of synaptic devices. In this work, we demonstrate short-term plasticity (STP) and long-term plasticity (LTP) by regulating synaptic weights with different stimulus pulses. Moreover, the application in neuromorphic computing is further exhibited by image recognition with an accuracy of 95.2 % under the modified National Institute of Standards and Technology database. Therefore, Nd-doped Bi4Ti3O12 memristors, as emerging artificial synaptic devices, are expected to achieve breakthroughs in artificial intelligence and promote the development of neuromorphic computing and intelligent systems.

Database as method: Exposing ‘data’ about educational technology through a design intervention

Ubiquitous datafication of children and families in educational and everyday settings is both a result of and catalyst for power asymmetries between digital platforms and their users. These platforms seek to know their users by extracting and analysing various streams of personal information, often discreetly. However, the users are rarely equipped to do the same to the platforms as information about these platforms is often obscured, convoluted, or simply unavailable. This article explores the possibilities of reversing such power imbalance via the design intervention of an Australia-focused educational technology (EdTech) database developed by the authors of this article. Employing a design intervention method, the database is a collection of publicly available information about EdTech companies and products that target young children and their parents or educators in Australia. This alternate commentary article presents and discusses the ongoing processes of developing the database to reflect on what it says about the power relations between EdTech providers and their users. It demonstrates how the database works as a pedagogical space where people learn how to critically unpack and think about contemporary EdTech platforms. The database is positioned as a point of convergence for different actors involved in children's digital learning to collectively understand what needs to be done to enact and protect children's digital rights in education.