Relevant Information Research Articles

Bridging knowledge gaps: a bibliometric analysis of non-invasive ventilation in palliative care studies

BackgroundDespite being a useful strategy for providing respiratory support to patients with advanced or terminal illnesses, non-invasive ventilation (NIV) requires in-depth investigation in several key aspects.ObjectivesThis bibliometric analysis seeks to comprehensively examine the existing research on the subject. Its goal is to uncover valuable insights that can inform the prediction trajectory of studies, guide the implementation of corrective measures, and contribute to the improvement of research networks.MethodsA comprehensive review of literature on NIV in the context of palliative care was conducted using the Web of Science core collection online database. The search utilized the key terms “non-invasive ventilation” and “palliative care” to identify the most relevant articles. All data were gathered on November 7, 2023. Relevant information from documents meeting the specified criteria was extracted, and Journal Citation Reports™ 2022 (Clarivate Analytics) served as the data source. The analysis employed literature analysis and knowledge visualization tools, specifically CiteScope (version 6.2.R4) and VOSviewer (version 1.6.20).ResultsA dataset with bibliometric findings from 192 items was analyzed. We found a consistent upward of the scientific output trend over time. Guidelines on amyotrophic lateral sclerosis management received the highest number of citations. Most documents were published in top-ranked journals. Less than one-third of the documents pertain to clinical studies, especially retrospective analyses (25%). Key topics such as “decision making”, and “communication” were less addressed.ConclusionsGiven the substantial clinical implications, further high-quality studies on this subject are recommended. Encouraging international collaborations is needed. Despite the growing volume of documents in the field, this bibliometric analysis indicates a decline in collaborative networks.

The Efficacy of Cognitive Remediation Therapy for Anorexia Nervosa: A Systematic Review of Systematic Reviews.

Cognitive remediation therapy (CRT) for anorexia nervosa (AN) is an intervention specifically focused on addressing cognitive difficulties associated with the eating disorder. This systematic review of systematic reviews and meta-analysis aimed to provide a summary of the existing literature examining the efficacy of CRT in improving the neuropsychological, psychological, and clinical parameters of patients with AN. Systematic reviews and meta-analyses were sought in electronic databases, encompassing studies that explored the impact of CRT on AN. Three eligible reviews were identified based on the inclusion criteria. The Revised Assessment of Multiple SysTemAtic Reviews (R-AMSTAR) was employed to evaluate the methodological quality of the reviews, and all included reviews demonstrated satisfactory methodological quality with an R-AMSTAR score of ≥22. Relevant information was extracted from each review and qualitatively compiled. Findings suggest that CRT can help people increase their awareness of cognitive styles and information processing and have a positive effect on patients' responses to treatment. Further research is required to better understand its impact on other relevant outcomes, including psychological variables, to optimize the treatment's benefits.

Heating tumors with tumor cell-derived nanoparticles to enhance chemoimmunotherapy for colorectal cancer.

Aim: To investigate the mechanism of doxorubicin (DOX)-induced immunogenic cell death (ICD) and to improve immunotherapy efficacy. Materials & methods: In this study, hybrid vesicles containing DOX (HV-DOX) were prepared by thin-film hydration with extrusion, and the formulated nanoparticles were characterized physically. Furthermore, in vitro experiments and animal models were used to investigate the efficacy and new mechanisms of chemotherapy combined with immunotherapy. Results: DOX improved tumor immunogenicity by alkalinizing lysosomes, inhibiting tumor cell autophagy and inducing ICD. HVs could activate dendritic cell maturation, synergistically enhancing chemotherapeutic immunity. Conclusion: The mechanism of DOX-induced ICD was explored, and antitumor immunity was synergistically activated by HV-DOX to improve chemotherapeutic drug loading and provide relevant antigenic information.

Development and Evaluation of I-PASS-to-PICU: A Standard Electronic Template to Improve Referral Communication for Interfacility Transfers to the Pediatric ICU

Miscommunication during interfacility handoffs to a higher level of care can harm critically ill children. Adapting evidence-based handoff interventions to interfacility referral communication may prevent adverse events. The objective of this project was to develop and evaluate a standard electronic referral template (I-PASS-to-PICU) to improve communication for interfacility pediatric ICU (PICU) transfers. I-PASS-to-PICU was iteratively developed in a single PICU. A core PICU stakeholder group collaboratively designed an electronic health record (EHR)-supported clinical note template by adapting elements from I-PASS, an evidence-based handoff program, to support information exchange between referring clinicians and receiving PICU physicians. I-PASS-to-PICU is a receiver-driven tool used by PICU physicians to guide verbal communication and electronic documentation during PICU transfer calls. The template underwent three cycles of iterative evaluation and redesign informed by individual and group interviews of multidisciplinary PICU staff, usability testing using simulated and actual referral calls, and debriefing with PICU physicians. Individual and group interviews with 21 PICU staff members revealed that relevant, accurate, and concise information was needed for adequate admission preparedness. Time constraints and secondhand information transmission were identified as barriers. Usability testing with six receiving PICU physicians using simulated and actual calls revealed good usability on the validated System Usability Scale (SUS), with a mean score of 77.5 (standard deviation 10.9). Fellows indicated that most fields were relevant and that the template was feasible to use. I-PASS-to-PICU was technically feasible, usable, and relevant. The authors plan to further evaluate its effectiveness in improving information exchange during real-time PICU practice.

First Report of Curvularia plantarum CausingRice SpikeletRotDisease in China.

In September 2022, rice spikelets rot disease (RSRD) was investigated in Songjiang District (30.94132N, 121.18393E), China, leading to a 26.77% yield loss. At the heading stage, infected spikelets exhibited small, yellowish-brown dots with water-stained husks, subsequently coalescing to form irregular brown to black lesions. Later, the lesions were enlarged and rotted, which eventually caused blighted grains. About 10% of husked grains showed black spots. 30 infected grains and 30 husked grains with black spots were surface sterilized in 75% ethanol for 2 min, then rinsed with ddH2O and plated on PDA medium at 28°C in darkness for 4 d. 22 and 13 fungal isolates with similar morphology were obtained in shriveled and husked grains, respectively. Three isolates (SJTU1, SJTU2 and SJTU3) were selected by the single-spore isolation method. The colonies were brown to blackish green, smooth, and contained a large number of stolons with a few aerial mycelia in the center. Hyphae and conidiophores were blackish green, thick-walled, branched with septa. Conidia were 14.77 to 26.82×4.74 to 11.36 μm (average 20.42×8.58 μm, n= 100) in size, lightly curved with blackish green. Conidia with three septa and four cells, apical and basal cells transparent, middle cell unequal in size. Based on morphological characteristics, the isolates were preliminarily identified as Curvularia plantarum (Raza et al. 2019). The genomic DNA of the three isolates (SJTU1 to 3) was extracted for molecular identification. 3 pairs of primers ITS1/TTS4 (Peever et al. 2004), gpd1/gpd2 (Berbee et al. 1999), and EF-983F/EF-2218R (Rehner and Buckley 2005) were used to amplify ITS, GAPDH, and EF1-α genes, respectively. These sequences were all uploaded in GenBank (ITS: OR726053 to 55; EF1-α: OR732471 to 73; GAPDH: OR732474 to 76). According to data in GenBank, the ITS, EF1-α, and GAPDH genes of 3 isolates (SJTU1 to 3) showed 99-100% identity (573/575 bp, 542/543 bp, and 531/531 bp) to the ITS (MW581905, MN044755, and MN215690), 99-100% identity (869/869 bp, 868/869 bp, and 855/856 bp) to the EF1-α (MN263982 to 83, and MT628901), and 99-100% identity (543/544 bp, 528/528 bp, and 540/540 bp) to the GAPDH (MT628902, MN264120, and MT432926) gene of C. plantarum, respectively. The phylogenetic analysis by Maximum Likelihood (ML) method based on the concatenated sequences of ITS, EF1-α, and GAPDH genes showed that the three isolates (SJTU1 to 3) clustered with C. plantarum. According to morphology and molecular identification, these fungal isolates were identified as C. plantarum. Pathogenicity tests were conducted in the field used only for inoculation with pathogens by spraying 30 spikelets of rice cultivar 'Song1013' at the heading stage with conidial suspension (5 × 105 conidia/mL). 30 spikelets sprayed with ddH2O were designated as control. The test was conducted 3 times at 22 to 31°C with 78 to 89% RH. All the inoculated spikelets exhibited similar symptoms to those of the infected spikelets in paddy at 10 d after spraying, while the control spikelets remained healthy. All reisolated strains from infected spikelets were identified the same as the original inoculated strains by morphology and ITS sequences, fulfilling Koch's postulates. To our knowledge, this is the first report of C. plantarum causing RSRD in China. The discovery of this new disease and its pathogens will facilitate the provision of pathogenically relevant information vital for management strategies to RSRD caused by C. plantarum in the future.

A Job Recommendation Model Based on a Two-Layer Attention Mechanism

In the field of job recruitment, traditional recommendation methods only rely on users’ rating data of positions for information matching. This simple strategy has problems such as low utilization of multi-source heterogeneous data and difficulty in mining relevant information between recruiters and applicants. Therefore, this paper proposes a recurrent neural network model based on a two-layer attention mechanism. The model first improves the entity representation of recruiters and applicants through user behavior, company-related knowledge and other information. The entities and their combinations are then mapped to the vector space using one-hot and TransR methods, and a recurrent neural network with a two-layer attention mechanism is used to obtain their potential interests from the click sequence, and then a recommendation list is generated. The experimental results show that this model achieves better results than previous models.

Circulating Hsa-miR499a-5p as markers in dysmobility syndrome patients: a new index for diagnosing dysmobility syndrome based on osteoporosis and predicting fracture risk.

Dysmobility syndrome based on osteoporosis (ODS) is a disease characterized by low bone mass and low muscle mass. Its features are high fracture and high fall risk. Falls and fractures are the most important factors affecting the quality of life and lifespan of ODS. However, there is no serum marker for the evaluation of ODS patients.Our previous studies have shown that the expression of circulating miRNA is stable and is a good marker for disease diagnosis. Therefore, this study aims to explore potential serum markers of ODS. A total of 78 subjects were included in this study. The data including appendicular skeletal muscle mass index, bone mineral density, bone metabolism markers, and other relevant information were collected for analysis. Real-time quantitative polymerase chain reaction was used to detect 19 miRNAs associated with muscle mass reduction. The correlation of quantitative data was analyzed by Pearson. The receiver operating characteristic curve was used to evaluate the performance of miRNA as a biomarker. In this study, we found that the muscle mass and strength of patients with ODS are significantly reduced and are negatively correlated with the risk of fracture. The hsa-miR-499a-5p is specifically downregulated in ODS, and is positively correlated with muscle mass and strength, and negatively correlated with the risk of fracture. Compared with muscle mass and strength, hsa-miR-499a-5p has better sensitivity and specificity as a diagnostic marker. hsa-miR-499a-5p is a potential serum biomarker for assessing muscle function and predicting fall or fracture risk in the ODS population.

Open scientific content search tools for research and education

Introduction. The concept of open science, actively promoted in recent decades, as well as technological innovations, make the culture of information retrieval a significant element in the development of the information society, which has a significant impact on scientific activity, education, management, social processes, etc. Indicators of the level of culture of information retrieval are knowledge of basic methods and means of obtaining information, including skills and abilities to work with information resources and search engines. The culture of information retrieval helps improve the quality of information extraction from increasingly large open information arrays. Open tools for searching scientific content are the most important, but require training during operation, they are components of the global market of information resources and services, allowing the selection of relevant information from large data sets in accordance with user requests.Purpose setting. The study sets the task of studying the applicability of individual scientific search systems (Google Scholar, Semantic Scholar, Internet Archive Scholar and BASE) for information searching when conducting research and in educational processes, developing competencies to improve the level of information culture of specialists in the field of library and information sciences.Methodology and methods of the study. The research was carried out using comparative and system analysis methods, mathematical methods for processing statistical data, and content analysis of documentary sources of information. The methodological basis was practice-oriented and competency-based approaches aimed at developing the professional skills of librarians and library scientists in searching for digital content and using open access resources.Results. The analysis made it possible to draw conclusions about the capabilities of search systems, methods for retrieving information and the specifics of the reflection of publications in them, as well as the most acceptable conditions for information retrieval in the field of «library and information sciences», which makes it possible to more rationally use the potential of systems and quickly obtain complete and relevant scientific information on the topic.Conclusions. The results of the study add a new dimension to our knowledge of scientific search engines. The study presents evidence that Google Scholar is a powerful tool for searching Russian literature in the field of library science in terms of articles from scientific journals, as well as detecting a limited volume of some other types of publications with the ability to evaluate with Google Scholar Metrics. It is concluded that Google Scholar, Semantic Scholar, Internet Archive Scholar and BASE, despite being positioned as effective tools for searching scientific information in various disciplines, require caution in use, because these systems cannot guarantee comprehensive results and are not complete sources of bibliographic data, but can be considered in conjunction with other resources, taking into account the availability of advanced search engines and additional services. Knowledge of scientific search engines contributes to improving the culture of information retrieval, the culture of users, their qualifications and professionalism.

Consent-GPT: is it ethical to delegate procedural consent to conversational AI?

Obtaining informed consent from patients prior to a medical or surgical procedure is a fundamental part of safe and ethical clinical practice. Currently, it is routine for a significant part...

High prevalence of low prognosis by the POSEIDON criteria in women undergoing planned oocyte cryopreservation

ObjectivePlanned oocyte cryopreservation (OC) is being increasingly utilized worldwide. However, some women cannot accumulate sufficient oocytes because of poor response to stimulation. The POSEIDON classification is a novel system to classify patients with ‘expected’ or ‘unexpected’ inappropriate ovarian response to exogenous gonadotropins. Our study aimed to examine the prevalence of POSEIDON patients among women undergoing planned OC. Study designWe retrospectively reviewed the first cycles of 160 consecutive patients undergoing planned OC. Patients were classified into the four POSEIDON groups or as ‘non-POSEIDON’ based on age, AMH level and the number of oocytes retrieved. The primary outcome measure was the prevalence of POSEIDON patients. ResultsOverall, 63 patients (39.4 %) were classified as POSEIDON patients, 12 in group 1, 12 in group 2, 8 in group 3, and 31 in group 4. Compared to non-POSEIDON patients, POSEIDON patients had increased basal FSH levels and reduced serum AMH levels and antral follicle counts, required higher FSH starting doses and increased gonadotropin requirements and reached lower peak serum estradiol levels. Additionally, POSEIDON patients had a lower number of oocytes retrieved (7.6 ± 3.1 vs.20.2 ± 9.9, p < 0.001) and vitrified (5.8 ± 2.9 vs.14.7 ± 6.8, p < 0.001) than non-POSEIDON counterparts, respectively. ConclusionWe found a high prevalence of patients being classified as low prognosis according to the POSEIDON criteria among patients seeking planned OC. POSEIDON patients had increased gonadotropin requirements and a significantly lower number of oocytes retrieved and vitrified. This novel, unexpected finding adds clinically relevant information for counselling and management of patients undergoing planned OC.

Let me sleep on it: sleep and investor reactions to earnings surprises

We explore if sleep deprivation affects how investors react to relevant news. Using the transition to Daylight Saving Time (DST) in spring as a disruption to sleeping patterns, we show that investors underreact to a firm’s earnings surprise in the days after the transition to DST. Further, an earnings surprise in the days after the transition to DST is associated with a positive drift in the post-announcement period. Our findings are consistent with sleep-deprived investors mispricing and subsequently revisiting relevant information. Overall, our results highlight the importance of investors’ cognitive ability for efficient market pricing.

Genome-wide association study identifies genetic variants underlying footrot in Portuguese Merino sheep

BackgroundOvine footrot caused by Dichelobacter nodosus (D. nodosus) is a contagious disease with serious economic and welfare impacts in sheep production systems worldwide. A better understanding of the host genetic architecture regarding footrot resistance/susceptibility is crucial to develop disease control strategies that efficiently reduce infection and its severity. A genome-wide association study was performed using a customized SNP array (47,779 SNPs in total) to identify genetic variants associated to footrot resistance/susceptibility in two Portuguese native breeds, i.e. Merino Branco and Merino Preto, and a population of crossbred animals. A cohort of 1375 sheep sampled across 17 flocks, located in the Alentejo region (southern Portugal), was included in the analyses.ResultsPhenotypes were scored from 0 (healthy) to 5 (severe footrot) based on visual inspection of feet lesions, following the Modified Egerton System. Using a linear mixed model approach, three SNPs located on chromosome 24 reached genome-wide significance after a Bonferroni correction (p < 0.05). Additionally, six genome-wide suggestive SNPs were identified each on chromosomes 2, 4, 7, 8, 9 and 15. The annotation and KEGG pathway analyses showed that these SNPs are located within regions of candidate genes such as the nonsense mediated mRNA decay associated PI3K related kinase (SMG1) (chromosome 24) and the RALY RNA binding protein like (RALYL) (chromosome 9), both involved in immunity, and the heparan sulfate proteoglycan 2 (HSPG2) (chromosome 2) and the Thrombospodin 1 (THBS1) (chromosome 7) implicated in tissue repair and wound healing processes.ConclusionThis is the first attempt to identify molecular markers associated with footrot in Portuguese Merino sheep. These findings provide relevant information on a likely genetic association underlying footrot resistance/susceptibility and the potential candidate genes affecting this trait. Genetic selection strategies assisted on the information obtained from this study could enhance Merino sheep-breeding programs, in combination with farm management strategies, for a more effective and sustainable long-term solution for footrot control.

Pemanfaatan TikTok sebagai Alat Inovatif dalam Pembelajaran Akidah Akhlak: Sebuah Tantangan Kreatif di Era Digital

The integration of technology in education has become a crucial component, enhancing the learning process and adapting to contemporary needs. The background of utilizing technology in education encompasses various essential aspects. This study employs the library research method, which involves examining literature sources such as books, notes, and reports from previous research to gather pertinent data related to the research topic. Technology's role in education has evolved into an indispensable element, enhancing the learning journey and aligning with the current era. Library research, a method relying on literature sources like books, notes, and reports from past research, is instrumental in collecting relevant information. Educators are urged to judiciously incorporate the use of TikTok, considering school policies, and striking a balance between leveraging its positive aspects and mitigating potential risks. The adoption of TikTok in Akidah Akhlak learning yields innovative benefits, such as heightened learning motivation, active student engagement, and creative utilization of educational media. Nevertheless, challenges, including restricted access and adverse influences, necessitate careful consideration. Educators must approach the integration of TikTok thoughtfully, adhering to school policies and implementing risk-mitigation strategies. A well-devised strategy and a comprehensive approach are crucial to ensuring that TikTok serves as an effective and secure tool in Akidah Akhlak learning.

The relationship between kidney disease and mitochondria: a bibliometric study

Background Due to its highly reabsorptive function, the kidney is a mitochondria-dependent organ. Research on the association between mitochondria and kidney disease has always been a serious focus of researchers, with many publications. Bibliometrics is a secondary analysis of published literature that extracts relevant information to gain insights into hotspots and trends in the field. Through bibliometric analysis, we aimed to understand the development trends and hotspots in the field of research on the association between kidney disease and mitochondria. Method Three bibliometric mapping tools (Biblimetrix R Package, VOS Viewer, CiteSpace) were used to provide an overview of the literature and analyze the co-occurrence of keywords and reference citations. Results A total of 2672 relevant research articles were included. The co-occurrence network identified three clusters related to the association between mitochondria and kidney disease, including experimental methods, research mechanisms, and disease phenotypes. We found that research in this field has shifted from disease-level studies to mechanism-based studies, with the most prominent disease being diabetic nephropathy and the most prominent pathogenic mechanism being related to mitochondrial ROS production. Conclusion The bibliometric analysis provided a comprehensive understanding of the progress of research on the role of mitochondria in kidney disease, enriching the review literature in this field.

The role of national police bodies v preventions and countermeasures for household violence

The article examines whether the National Police, as a public authority, implements special measures to prevent and counter domestic violence, using, if necessary, measures of administrative coercion against offenders. The National Police bodies are directly charged with the duty of detecting facts of domestic violence, with subsequent response to them. An important aspect of improving the performance of the National Police is to establish trust with the affected families, who are afraid to come forward about the facts of domestic violence due to fear of condemnation from society. The authorities of the National Police also carry out preventive activities, together with the public, to provide the society with relevant information on the prevention and counteraction of domestic violence.&#x0D; The problem of domestic violence is not new, it has existed since the beginning of humanity, since the beginning of communities and concepts of family customs. But the fact that today some countries have learned to adequately deal with this problem, and some are simply silent about it, does not mean that the problem does not exist at all. The adoption of the new Law of Ukraine “On Prevention and Combating Domestic Violence” in 2018 is a significant change for the better, but for it to work fully, a lot of effort from the entire population of the country must be made. The legal basis of the National Police’s activity in this area is the normative legal acts in the field of prevention and counteraction of domestic violence - officially formalized results of the subject’s will in the field of prevention and counteraction of domestic violence, carried out unilaterally and entailing legal consequences.&#x0D; The following are the authorized divisions of the National Police bodies for the prevention and counteraction of domestic violence:&#x0D; &#x0D; precinct police officers and community police officers;&#x0D; juvenile prevention police officers;&#x0D; patrol police units and patrol police response groups;&#x0D; investigation and inquiry units;&#x0D; domestic violence counteraction sectors and mobile response groups to incidents of domestic violence.&#x0D;

Generative Environment-Representation Instance-Based Learning: A Cognitive Model

Instance-Based Learning Theory (IBLT) suggests that humans learn to engage in dynamic decision making tasks through the accumulation of experiences, represented by the decision task features, the actions performed, and the utility of decision outcomes. This theory has been applied to the design of Instance-Based Learning (IBL) models of human behavior in a variety of contexts. One key feature of all IBL model applications is the method of accumulating instance-based memory and performing recognition-based retrieval. In simple tasks with few features, this knowledge representation and retrieval could hypothetically be done using all relevant information. However, these methods do not scale well to complex tasks when exhaustive enumeration of features is unfeasible. This requires cognitive modelers to design task-specific representations of state features, as well as similarity metrics, which can be time consuming and fail to generalize to related tasks. To address this issue, we leverage recent advancements in Artificial Neural Networks, specifically generative models (GMs), to learn representations of complex dynamic decision making tasks without relying on domain knowledge. We evaluate a range of GMs in their usefulness in forming representations that can be used by IBL models to predict human behavior in a complex decision making task. This work connects generative and cognitive models by using GMs to form representations and determine similarity.

Harnessing Reliable Evidence in the Post-COVID Era: A Practice Guide to Navigating the Ocean of Medical Literature.

The reliability and relevance of medical literature are significant concerns in the post-COVID-19 era, where misinformation and disinformation are serious threats. This practice guide provides an overview of practical strategies to appraise the reliability of research publications critically. These strategies include critically appraising the effectiveness and constraints of various approaches to disseminating medical information, choosing appropriate medical literature resources, navigating library databases, screening the literature from the search, and screening individual publications. We also discuss the importance of considering study limitations and the relevance of the results in research or use in the medical arena. In-depth, critical appraisal of medical or clinical research evidence requires expertise, insight into research methodologies, and a grasp of issues in each field. By harnessing the wealth of reliable and relevant information available in medical literature through the above steps, we can alleviate potentially misleading information and stay at the forefront of our respective fields.

Why does OCR only post determinations of violations to its reading room?

The Office for Civil Rights has long assisted institutions and the general public in understanding Section 504 compliance obligations by posting to its reading room selected determination letters and resolution agreements arising from Section 504 complaints and investigations, indexed and sorted by issues, parties, and dates for easy searching (https://bit.ly/3NP5zjI). Although determination letters also can be obtained in redacted form through a Freedom of Information Act Request, requesting an individual letter requires knowing its relevance and sufficient descriptive information to identify it, so in the absence of prior knowledge of a specific investigation, the reading room is the only publicly available resource from which one can readily to obtain determination letters.

Critical Analysis of Baidu's Business Strategy

People's life is inseparable from the Internet. However, network information is a huge collection of various information resources. Its quantity is growing rapidly, disorderly, quality varies, and there is no certain organization and control. This brings great inconvenience to people's search and acquisition of information. It is very necessary and important for all network users to accurately and efficiently obtain relevant and applicable information to their needs from massive amounts of information. Search engines can help users find information about themselves in trivial information. Baidu.com has become the leader of China's Internet competition in the world with its relatively conservative specialization strategy. Baidu's brilliance is innovative profit models, tailor-made development strategies, and clear marketing models. At the same time, there are also disadvantages that restrict its development. Thus, this article analyzes the impact of Baidu’s profit model, competitive advantage, shortcomings, shortcomings, and advertising models on business strategies by combing the previous literature.

Developing an ontology of non-pharmacological treatment for emotional and mood disturbances in dementia.

Emotional and mood disturbances are common in people with dementia. Non-pharmacological interventions are beneficial for managing these disturbances. However, effectively applying these interventions, particularly in the person-centred approach, is a complex and knowledge-intensive task. Healthcare professionals need the assistance of tools to obtain all relevant information that is often buried in a vast amount of clinical data to form a holistic understanding of the person for successfully applying non-pharmacological interventions. A machine-readable knowledge model, e.g., ontology, can codify the research evidence to underpin these tools. For the first time, this study aims to develop an ontology entitled Dementia-Related Emotional And Mood Disturbance Non-Pharmacological Treatment Ontology (DREAMDNPTO). DREAMDNPTO consists of 1258 unique classes (concepts) and 70 object properties that represent relationships between these classes. It meets the requirements and quality standards for biomedical ontology. As DREAMDNPTO provides a computerisable semantic representation of knowledge specific to non-pharmacological treatment for emotional and mood disturbances in dementia, it will facilitate the application of machine learning to this particular and important health domain of emotional and mood disturbance management for people with dementia.