Common Domain Research Articles

Quality of life and its related-influencing factors in patients with cervical cancer based on the scale QLICP-CE(V2.0)

BackgroundQuality of life research can guide clinical workers to adopt more targeted treatment and intervention measures, so as to achieve the purpose of improving patients’ quality of life. The objective of this study was to evaluate health-related quality of life in Chinese patients with cervical cancer and to explore its influencing factors.MethodsA total of 186 patients with cervical cancer were investigated by using the QLICP-CE (V2.0) scale (Quality of Life Instruments for Cancer Patients-Cervical Cancer) developed by our group in China. The data were analyzed by t-test, one-way ANOVA, univariate analysis, and multivariate linear regression.ResultsThe total score of quality of life scale for cervical cancer patients was (62.58 ± 12.69), Univariate analysis of objective clinical indexes showed that creatinine concentration was a negative influence factor in the psychological domain, potassium ion concentration was a negative influence factor in the common symptoms and side effect domain, erythrocyte content was a positive influence factor physical domain and common general domain. Multiple linear regression results suggested that clinical staging was the influencing factor of common symptom and side effect domain, common general module and total score of scale. Marital status has different degrees of influence on the psychological, social, and common general domains. The level of education also influenced scores in the social domain.ConclusionThe total score of quality of life in patients with cervical cancer who received active treatment was acceptable. Marital status, clinical staging, and educational level are the factors that affect the quality of life of patients with cervical cancer. At the same time, potassium ion concentration, red blood cell count and creatinine concentration also have important effects on quality of life in patients with cervical cancer. Therefore, it is very important to give personalized treatment and nursing to patients based on various factors.

Interventions to support children after a parental acquired brain injury: a scoping review

ABSTRACT Objective This scoping review aimed to identify manualised programs and practice suggestions to support children’s health literacy, behaviors and emotions after a parental acquired brain injury. Methods A systematic search of five scientific databases (PsychINFO, MEDLINE, ProQuest, Scopus, Cochrane) and gray literature occurred. Inclusion criteria included: studies and gray literature published 1989 to 2023, in English, child populations with relationship to parental acquired brain injury, identifying manualised programs or practice suggestions via content analysis approach. Ethical considerations No data were collected from human participants. All included studies, where relevant, demonstrated consent and/or ethical processes. Results Sixteen relevant studies and three gray literature resources (n = 19) were identified, including two studies that detailed manualised programs, and fifteen studies and two resource packs that included practice suggestions. Five common domains within practice suggestions were identified: systemic commitment (n = 17); family-centered approaches (n = 16); child-centered practices (n = 15); structured programs (n = 9); and peer support (n = 8). Conclusions More rigorous evaluation is required to test the potential benefits of manualised programs and practice suggestions. A systemic commitment at clinical and organizational levels to provide child and family-centered practices, structured programs, and access to peer support, early and throughout adult-health care settings, may help to meet the support needs of children.

Abstract 1021: Bulky Hydrophobic Side Chains In The β1-sandwich Of Microsomal Triglyceride Transfer Protein Are Critical For The Transfer Of Both Triglycerides And Phospholipids

Hyperlipidemia predispose individuals to cardio-metabolic diseases, the most common cause of global mortality. Microsomal triglyceride transfer protein (MTP) transfers multiple lipids and is essential for the assembly of apoB-containing lipoproteins. MTP inhibition lowers plasma lipids but causes lipid retention in the liver and intestine. Previous studies suggested two lipid transfer domains in MTP and that specific inhibition of triglycerides (TG) and not phospholipids (PL) transfer can lower plasma lipids without significant tissue lipid accumulation. However, how MTP transfers different lipids and the domains involved in these activities are unknown. Here, we tested a hypothesis that two different β-sandwich domains in MTP transfer TG and PL. Mutagenesis of charged amino acids in β2-sandwich had no effect on PL transfer activity indicating that they are not critical. In contrast, amino acids with bulky hydrophobic side chains in β1-sandwich were critical for both TG and PL transfer activities. Substitutions of these residues with smaller hydrophobic side chains or positive charges reduced, while negatively charged side chains severely attenuated MTP lipid transfer activities. These studies point to a common lipid transfer domain for TG and PL in MTP that is enriched with bulky hydrophobic amino acids. Furthermore, we observed a strong correlation in different MTP mutants with respect to loss of both the lipid transfer activities, again implicating a common binding site for TG and PL in MTP. We propose that targeting of areas other than the identified common lipid transfer domain might reduce plasma lipids without causing cellular lipid retention.

A layer assigned probability space partition method for structural small failure probability problem

The Physical Synthesis Method (PSM) stands out as a robust framework for conducting structural reliability analyses due to its clear conceptual foundation. However, this approach often necessitates significant computational resources when addressing scenarios with small failure probabilities. In response to this challenge, this study introduces a layer assigned probability space partition method designed to identify pivotal points based on the ultimate bearing capacity failure criterion of structural components within the PSM framework. Drawing inspiration from Harbitz's β-sphere, this method effectively utilizes the minimum reliability index of components to discern essential representative points within the probability space, thus streamlining computations. The efficacy of this approach is showcased through two case studies: a simply supported beam and a six-story reinforced concrete frame. The outcomes demonstrate that the proposed method, when integrated with PSM, exhibits a substantial enhancement in efficiency compared to the conventional Monte Carlo method. Besides, under equivalent computational resources, it achieves superior computational accuracy compared to the importance sampling method, particularly in scenarios with small failure probabilities. Furthermore, by introducing the notion of a common safe domain, this method addresses challenges in structural reliability analyses involving multiple failure surfaces.

The wheat pathogenesis-related protein (TdPR1.2) enhanced tolerance to abiotic and biotic stresses in transgenic Arabidopsis plants.

In plants, the pathogenesis-related (PR) proteins have been identified as important regulators of biotic and abiotic stresses. PR proteins branch out into 19 different classes (PR1-PR19). Basically, all PR proteins display a well-established method of action, with the notable exception of PR1, which is a member of a large superfamily of proteins with a common CAP domain. We have previously isolated and characterized the first PR1 from durum wheat, called TdPR-1.2. In the current research work, TdPR1.2 gene was used to highlight its functional activities under various abiotic (sodium chloride (100mM NaCl) and oxidative stresses (3mM H2O2), hormonal salicylic acid (SA), abscisic acid (ABA) and jasmonic acid (JA), and abiotic stresses (Botrytis cinerea and Alternaria solani). Enhancement survival index was detected in Arabidopsis transgenic plants expressing TdPR1.2 gene. Moreover, quantitative real-time reverse transcription PCR (qRT-PCR) analysis demonstrated induction of antioxidant enzymes such as catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD). It equally revealed a decrease of malondialdehyde (MDA) as well as hydrogen peroxide (H2O2) levels in transgenic Arabidopsis plants compared to control lines, confirming the role of TdPR1.2 in terms of alleviating biotic and abiotic stresses in transgenic Arabidopsis plants. Eventually, RT-qPCR results showed a higher expression of biotic stress-related genes (PR1 and PDF1.2) in addition to a downregulation of the wound-related gene (LOX3 and VSP2) in transgenic lines treated with jasmonic acid (JA). Notably, these findings provide evidence for the outstanding functions of PR1.2 from durum wheat which can be further invested to boost tolerance in crop plants to abiotic and biotic stresses.

How and why do people with chronic low back pain modify their physical activity? A mixed-methods survey.

This study investigated the impact of Chronic Low Back Pain (CLBP) on individuals' physical activity (PA) behaviours, specifically, how they modify, cease, or continue PA when experiencing CLBP. The primary aim was to explore the relationship between CLBP and PA and how this is influenced in different contexts (e.g., necessity of a task). A mixed-methods survey was administered to 220 participants, including self-reported outcomes, and capturing responses to three distinct questions related to PA and CLBP. The data was analysed via a content analysis. The findings revealed that individuals with CLBP are most likely to modify PA in work-related contexts and least likely to cease it in the same setting. Housework emerged as the most common domain for cessation of PA, while work/study activities were predominantly continued. Reasons for these trends were typically task-based rather than health or enjoyment based and influenced by the perceived necessity of the task in question. The study highlights the role of occupational and educational settings in individual responses to CLBP. The findings also highlight a gap in public awareness regarding effective CLBP management strategies, emphasising the need for increased education and awareness programs.

Defining Types of Leadership Within an Academic Surgery Department to Promote Change for Decreasing Rates of Burnout.

Successful leaders influence the group they represent. Effective surgical care is tied to its leadership climate. However, most surgical providers are not attuned to their individual strengths which if known they could leverage them within their teams. This study identifies leadership types within a department of surgery which may be used to better understand and cultivate their strengths. In 2022, 172 providers in an academic surgery department were offered the GallupTM CliftonStrengths assessment, a proprietary instrument that maps 34 strengths across 4 domains of leadership. The assessment provides a respondent with their top 5 strengths and the domain in which they naturally "lead". Of 172 providers, 127 (74%) completed the assessment. While providers have strengths in multiple domains, they "lead with" a specific domain. Mapped from the providers' top 10 strengths, the most common "lead with" domain for surgical providers was Executing: the ability to implement ideas and produce results. Strategic Thinking: those who are analytical and push teams forward and Relationship Building: the ability to create strong and effective teams were followed by the least common domain. Influencing: the ability to communicate ideas and lead others. Formal leaders were significantly more likely to lead with Strategic Thinking. There were no significant differences between APPs and physicians. A majority of surgical providers "lead with" the GallupTM Executing domain. Those who lead with executing skills work tirelessly to produce outcomes. Learning to leverage the strengths of our teams to create cohesion and efficiency may improve engagement and retention.

Genomic comparative analysis of Ophiocordyceps unilateralis sensu lato.

Ophiocordyceps unilateralis sensu lato is a common pathogenic fungus of ants. A new species, O. fusiformispora, was described based on morphology and phylogenetic evidence from five genes (SSU, LSU, TEF1α, RPB1, and RPB2). The whole genomes of O. fusiformispora, O. contiispora, O. subtiliphialida, O. satoi, O. flabellata, O. acroasca, and O. camponoti-leonardi were sequenced and annotated and compared with whole genome sequences of other species in O. unilateralis sensu lato. The basic genome-wide characteristics of the 12 species showed that the related species had similar GC content and genome size. AntiSMASH and local BLAST analyses revealed that the number and types of putative SM BGCs, NPPS, PKS, and hybrid PKS-NRPS domains for the 12 species differed significantly among different species in the same genus. The putative BGC of five compounds, namely, NG-391, lucilactaene, higginsianin B, pyripyropene A, and pyranonigrin E were excavated. NG-391 and lucilactaene were 7-desmethyl analogs of fusarin C. Furthermore, the 12 genomes had common domains, such as KS-AT-DH-MT-ER-KR-ACP and SAT-KS-AT-PT-ACP-ACP-Te. The ML and BI trees of SAT-KS-AT-PT-ACP-ACP-Te were highly consistent with the multigene phylogenetic tree in the 12 species. This study provided a method to obtain the living culture of O. unilateralis sensu lato species and its asexual formed on the basis of living culture, which was of great value for further study of O. unilateralis sensu lato species in the future, and also laid a foundation for further analysis of secondary metabolites of O. unilateralis sensu lato.

Sensory modality and information domain contribute jointly to dual-task interference between working memory and perceptual processing

Abstract Making sense of our environment requires us to extract temporal and spatial information from multiple sensory modalities, particularly audition and vision. Often, we must hold this sensory information in working memory (WM) to guide future actions, while simultaneously processing new sensory inputs as they arise. However, these processes of WM maintenance and perceptual processing can interfere with one another when the tasks rely on similar cognitive resources. fMRI studies have uncovered attention and WM networks that are specialized for either auditory-temporal or visual-spatial processing; the functional specialization of these networks makes specific predictions about patterns of interference between perceptual processing and WM. Specifically, we hypothesized that dual-task interference should increase when the tasks share a common sensory modality, a common information domain (temporal vs. spatial processing), or both. To test these predictions, we asked participants to store temporal or spatial information about auditory or visual stimuli in WM. On some trials, participants also performed an intervening auditory task, which was either temporal or spatial, during WM retention. Errors on WM recall and perceptual judgment tasks both generally increased when the tasks relied on shared modality- and domain-biased resources, with maximal interference when both tasks were auditory-temporal. Pupil dilations were also larger and started earlier when both tasks were auditory-temporal, indicating an increase in cognitive effort to overcome the interference. Event-related potentials (ERPs) and alpha-band oscillatory activity revealed neural signatures of domain-based interference even when the tasks were presented in different sensory modalities, when behavioral differences were masked by ceiling effects. These results demonstrate that sensory modality and information domain jointly affect how task information is represented in WM, consistent with past work demonstrating how tasks engage complementary auditory-temporal and visual-spatial cognitive control networks.

The impact of unmet treatment need on oral health related quality of life: a questionnaire survey

BackgroundBased on the present global burden of oral diseases, unmet dental needs affect a more significant population worldwide. It is characterised by the need for dental care but receiving delayed or no care. The contributing factors include lack of knowledge about oral health, its consequences, and the availability of dental services. We need to find out the scale of the problem of unmet dental needs for the south Indian population. Therefore, the objective was to determine the relationship between the presence of oral disease and the quality of life-related to oral health using the OHIP-14 tool.MethodsThe unmet dental requirements of the south Indian population were determined using a cross-sectional questionnaire survey. Close-ended questions were used to obtain data from two investigators trained to record the answers from the patients. The data was collected using the OHIP-14 questionnaire, which consists of 14 items divided into seven domains with two questions each. Physical pain, psychological impairment, physical disability, psychological disability, social disability, and disability were all considered. An additional analysis of artificial neural network (ANN) was done.ResultsThe response rate was 100 per cent. N = 1029 people replied to the questionnaire about their unmet dental needs. N = 497 (48.3%) were men, whereas N = 532 (51.7%) were women. The average age was 31.7811.72. As their current occupation, most of the included subjects (60.1%) were students. The respondents had no known personal habits and a mixed diet (94.93%). The average BMI was 24.022.59 (14-30.9). OHIP was present in 62.3% of the population. The average OHIP-14 severity score was 10.97. (8.54). The severity and degree of unmet dental need were substantial (p0.01) due to pain in the mouth/teeth/gums, malocclusion, and gum bleeding. The most common OHIP-14 domains affected by unmet oral needs were psychological discomfort, psychological limitation, social limitation, and feeling handicapped. The analysis of ANN revealed that high OHIP scores were primarily attributed to dental caries, poor oral health, and dental aesthetics.ConclusionThe severity and degree of unmet dental needs were significant among the south Indian population. The most common oral health status that impacted OHIP-14 domains were pain, malocclusion, and bleeding gums. These patients were significantly impacted by psychological discomfort and social limitations and felt handicapped.

Avoidant personality disorder through the lens of ICD 11

IntroductionWith the new dimensional diagnosis of personality disorders in ICD 11, the categorical model has been abandoned. The types of personality disorders in the new dimensional model should show certain common characteristics. According to the recognition of the common characteristics of individual types of personality disorders, as well as determining the severity, a transition from the categorical to the dimensional diagnostic system can be made.ObjectivesTo analyze and present the trait domains specifiers in persons with avoidant personality disorder and to facilitate the adoption of the new diagnostic criteria.MethodsAn unsystematized literature review was made, with key words: avoidant personality disorder, ICD 11, ICD 10, traits; and a case was presented.Results This is the case of a 26-year-old student who has had no friends since his school days. During his secondary education, on the initiative of another person, he got together with several other people, but he was not fully accepted. During the studies, the communication with the colleagues took place only at the university and around the responsibilities. About a year ago, he had reduced willpower and suicidal thoughts, when he took antidepressant and adjuvant antipsychotic therapy for some time. He is now being examined due to severe tension, dissatisfaction, lack of friends, repeated suicidal ideation. According to researches, people with avoidant disorder have prominent trait domains – negative affectivity, detachment and reduced dissociality (Bach et al. BMC Psychiatry 2018; 18:351), negative affectivity, detachment and anankastia (Simon et al., Front. Psychiatry 2023, 14:1175425), negative affectivity and detachment (Bach et al. Borderline Personality Disorder and Emotion Dysregulation 2022, 9:12). In our case, assessments of trait domains were made with PSQ-11 and PiCD. On the PSQ-11, an increase in the negative affectivity, detachment and anankastia on critical score was obtained, while on the PiCD, an increase in negative affectivity, detachment, anankastia, and a decrease in dissociality was obtained. Mild personality disorder was scored on the Rating Scales for Severity of Disorder (SASPD, LPFS-BF 2.0).ConclusionsThe types of personality disorder can be represented by certain common trait domains specifiers, which will be useful in adopting the diagnostic criteria in ICD 11 for personality disorder. Assessment of the severity of the disorder provides additional information on treatment strategies and prognosis. The most significant features of avoidant personality disorder are negative affectivity and detachment, while anankastia is on the borderline score and has a reduction in dissociality.Disclosure of InterestNone Declared

Near offset reconstruction for marine seismic data using a convolutional neural network

AbstractMarine seismic data is often missing near offset information due to separation between the source and receiver cables. To solve this problem, a convolutional neural network is trained on synthetic seismic data to reconstruct the near offset gap. The synthetic data is created using a two‐dimensional finite difference method within a heterogeneous velocity model. These synthetics are generated with a source‐over‐receiver acquisition geometry so that they contain complete near offset data. The convolutional neural network is then trained on input‐target synthetic pairs where the inputs are common midpoint gathers with the near offset section removed, and the targets are the same gathers with the near offset section retained. Following training, the robustness of the method is investigated with regards to common midpoint data sorting, normal moveout correction and changes in the velocity model. It is found that training on common midpoint‐sorted data results in 2.8 times lower error than training on shot gathers, that normal moveout correction of the training data makes no significant difference in error levels, and that the model can reconstruct realistic near offsets on synthetic data generated 10 km away within the heterogeneous velocity model. In field data testing, first a dataset with source‐over‐cable acquisition geometry from the Barents Sea is used to compare the reconstructed wavefields to ground truth values. Although the reconstructed amplitudes require minor scaling to match the true values, predictions on this dataset yield 2.5 times lower near offset reconstruction error compared to a simple Radon transform interpolation method. Furthermore, amplitude versus offset gradient and intercept sections from the Barents Sea dataset are estimated with half the error when including the convolutional neural network‐predicted near offset data, compared to only using the conventionally‐acquirable portion of the data (beyond 112.5 m of offset). In a secondary field data test, a conventional northern North Sea dataset is used to demonstrate how the method may be applied in practice. Here, the convolutional neural network generates more realistic predictions than the Radon method, and the gradient and intercept sections calculated using the convolutional neural network‐predicted traces have higher signal‐to‐noise ratios than the sections calculated using only the original data. The combination of high‐quality synthetic training data and interpolation in the common midpoint domain enables near offset reconstruction at significant depth (1 s of two‐way traveltime or more), which is demonstrated in both synthetic and field examples.

Assessment of Behavioral and Psychological Symptoms in Dementia, Associated Risk Factors and Clinical Correlates

Background: The presence of behavioral and psychological symptoms in dementia (BPSD) are associated with hospitalization, rapid cognitive decline, poor quality of life and higher caregiver burden. Thus, we aim to characterize the BPSD symptoms, its relationship to dementia-related risk factors and their predictive value, if any.Methodology: In 48 adults (mean age: 70.27 ± 10.08) with major neurocognitive disorder (MNCD) as per diagnostic and statistical manual of mental disorders, 5th edition and with Hindi mental status examination scores less than or equal to 23 were recruited. Patients were assessed for cognition by hindi Montreal cognitive assessment (HMOCA) and the clinical dementia rating scale (CDR). BPSD and caregiver burden were assessed using the neuropsychiatric inventory (NPI) and burden assessment schedule (BAS). The correlation of NPI scores with socio-demographic variables and clinical variables was assessed. A forward stepwise linear regression (using p-value < .05) was used to identify possible predictors of the NPI scores.Results: The majority of participants were predominantly males, 25 (52.1%), from urban regions, belonged to middle-class socio-economic status and had severe grading (HMOCA (< 10) of MNCD (25 (52.2%) but had moderate caregiver burden (25 (52.2%)). The most common MNCD type was due to Alzheimer’s disease (22 (45.8%)). Cortical atrophy and ischemic infarcts were the most common neuroimaging abnormalities reported (7 (14.9%)). Mean HMOCA, clinical dementia rating scale (CDR), NPI and BAS scores were 9.13 ± 6.96, 1.50 ± 1.05, 41.79 ± 27.06 and 68.65 ± 22.84, respectively. The most common BPSD domains were sleep disturbance (60.4%) and hallucinations (56.25%). Among the established risk factors, hypertension was present in the highest proportion (21 (43.8%)). As per the stepwise logistic regression model CDR scores, smoking status and HTN were predicted risk factors (R²: 0.452; p = 0.045).Conclusion: Irritability/agitation is most prevalent BPSD. The severity of MNCD, smoking and hypertension may help in the prediction of BPSD and their role may have to be explored in further studies.

Perinatal and neonatal factors and mental disorders in children and adolescents: looking for the contributions of the early environment to common and dissociable aspects of psychopathology.

High rates of co-occurrence of mental disorders have been hypothesized to represent a result of common susceptibility to overall psychopathology. The purpose of this study is to test the hypothesis that commonalities among psychiatric disorders might be partially driven by sharable perinatal and neonatal environmental factors for mental disorders. Participants were 6-14years of age children and their parents. Primary caregivers provided data on perinatal and neonatal information assessed retrospectively (n = 2231). Psychiatric disorders diagnoses were assessed using the Development and Well Being Behavior Assessment (DAWBA). We used bifactor models to disentangle common from dissociable aspects of psychopathology. These models allow modeling psychiatric disorders as the result of a common domain of psychopathology (p-factor) and three dissociable domains (fear, distress, and externalizing symptoms). Associations were tested using linear and tobit regression models. The p-factor was associated with male sex, low socioeconomic status, gestational smoking, gestational drinking, low levels of maternal education and presence of mental disorder in the mother. Associations with specific factors also emerged suggesting some risk factors might also have some role for fear, distress and externalizing factors. Our study supports the hypothesis that overall susceptibility to psychopathology might be partially driven by sharable perinatal and neonatal factors.

The Impact of Social Vulnerability on Substance Use Detection Practices in Pregnancy.

This study aimed to synthesize current literature regarding the impact of social vulnerability on pregnancy-related substance use detection in the United States and highlight disparities in substance use detection practices. Clinicaltrials.gov, Google Scholar, PubMed (includes MEDLINE), and Cochrane Library databases were searched using the following Medical Subject Headings (MeSH): (["pregnancy" or "prenatal"] AND ["substance use screening" or "urine toxicology testing" or "toxicology testing" or "urine drug screening" or "CRAFFT" or "4P's" or "4P's Plus" or "NIDA Quick Screen" or "DAST-10" or "SURP-P" or "WIDUS"], AND ("bias" or "disparities" or "social vulnerability"]). The search included systematic reviews, prospective and retrospective studies, randomized controlled trials, case studies, and qualitative and quantitative research from January 2014 through November 2023. Selected literature was limited to studies published in English, which included a study population of either pregnant individuals or pregnancy health care providers in the United States, and that were focused on inequities in pregnancy substance use detection. Using Covidence, three authors screened abstracts, and two screened full articles for inclusion. The included studies were evaluated for quality of evidence using the mixed methods appraisal tool. The search yielded 4,188 manuscripts; 37 were eligible for full review. A total of 18 manuscripts were included based on the relevancy of the topic. The most common social vulnerability domain identified was minority status (17/18), followed by socioeconomic status (11/18), household characteristics (8/18), and housing type (1/18). Social vulnerability plays a role in substance use detection among pregnant individuals. Most notably, race and ethnicity, age, and public insurance lead to increased rates of detection, though most individual factors need to be studied in greater depth. This study was registered with PROSPERO (PROSPERO ID CRD42022352598), the International Prospective Register of Systematic Reviews. KEY POINTS: · Socially vulnerable pregnant individuals are more likely to receive substance use screening or urine toxicology testing.. · Race, ethnicity, age, and insurance influence substance use detection disparities.. · More research is needed to understand how other characteristics influence disparities in substance use detection..

Characterizing redundancy in pharmacy residency research projects.

Each year, roughly 5,000 residents conduct research on clinical and practice-based topics to meet the requirements of the ASHP residency standards related to research and project management. Several investigators have evaluated residency research project publication rates, but redundancy among projects has not been evaluated. The primary objective of this study was to determine the rate of redundancy among pharmacy residency research projects. This was a retrospective cohort analysis of abstracts accepted to various regional pharmacy residency conferences from 2017 through 2020. Each abstract was placed in a pharmacy domain by therapeutic area. The categorized data for each year were then further evaluated to identify clinical categories for the year. Topics were labeled as redundant if at least 10 projects fell into the same focus area within a clinical category. Descriptive statistics were used to quantify the incidence of redundancy each year. A total of 4,027 abstracts were included. The most common pharmacy domains were infectious disease, internal medicine, and benefit of pharmacy services. Overall, 8.2% projects (332 of 4,027) were categorized as redundant. The most common focus areas were rapid diagnostics, opioid reduction protocols, and vancomycin area-under-the-curve vs trough monitoring. Pharmacy residency research projects encompassed topics across a wide range of pharmacotherapy areas. Approximately 1 in 12 projects was redundant. This is likely because the project addressed a "hot topic" in practice and may represent an opportunity for institutions to collaborate to optimize project efficiency and impact.

Conserved structures and dynamics in 5'-proximal regions of Betacoronavirus RNA genomes.

Betacoronaviruses are a genus within the Coronaviridae family of RNA viruses. They are capable of infecting vertebrates and causing epidemics as well as global pandemics in humans. Mitigating the threat posed by Betacoronaviruses requires an understanding of their molecular diversity. The development of novel antivirals hinges on understanding the key regulatory elements within the viral RNA genomes, in particular the 5'-proximal region, which is pivotal for viral protein synthesis. Using a combination of cryo-electron microscopy, atomic force microscopy, chemical probing, and computational modeling, we determined the structures of 5'-proximal regions in RNA genomes of Betacoronaviruses from four subgenera: OC43-CoV, SARS-CoV-2, MERS-CoV, and Rousettus bat-CoV. We obtained cryo-electron microscopy maps and determined atomic-resolution models for the stem-loop-5 (SL5) region at the translation start site and found that despite low sequence similarity and variable length of the helical elements it exhibits a remarkable structural conservation. Atomic force microscopy imaging revealed a common domain organization and a dynamic arrangement of structural elements connected with flexible linkers across all four Betacoronavirus subgenera. Together, these results reveal common features of a critical regulatory region shared between different Betacoronavirus RNA genomes, which may allow targeting of these RNAs by broad-spectrum antiviral therapeutics.

Digital twins in dosimetry and radiotherapy, a survey and some applications

Digital Twins (DTs) are emerging as a powerful tool in several applications, including Dosimetry and Radiotherapy (RT). Indeed, DTs have increased their effectiveness, up to the point that can be considered as virtual replicas of physical objects, processes, or systems. Through predictive modeling, DTs can determine optimal doses in radiation therapy, assist in defining personalized treatment schedules for individual patients, and monitor treatment responses. Moreover, DTs play a pivotal role in designing radioisotope production processes in the field of nuclear medicine. This can help to ensure the most effective treatment possible while minimizing the risk of side effects.As a frontier case example, DTs can be employed in the analysis of a possible new source for flash radiotherapy worth with respect to their effectiveness parameters like Radio-Biological Effectiveness (RBE) or cell Surviving Fraction (SF). Flash techniques involve the delivery of a high dose of radiation in a short time, reducing damage to surrounding healthy tissue while possibly increasing damage to malignant cells. DTs could be used to simulate and collect data about particle interactions with the treated tissues, optimizing the treatment and leading to improved outcomes.The most powerful tools that can be applied in DTs development are the Monte Carlo (MC) codes, particularly those with the highest capability of a detailed material/geometry description through an automatized spatial discretization approach like the one based on Unstructured Mesh (UM), allowing a common mathematical domain for both particle/radiation transport and thermal, fluid-dynamics and mechanical simulations. What comes out from various kind of applications is a common ground in terms of data management, phase space identification, simulation tools, that can be easily recognized even if spanning from cell response to technological devices, making realistic the perspective of the setup of general optimization procedures.

Prevalence of mild behavioural impairment and its association with cognitive and functional impairment in normal cognition, mild cognitive impairment, and mild Alzheimer's dementia.

Mild behavioural impairment (MBI) is an emergent and persistent neuropsychiatric symptom (NPS) in subjects aged 50 and older who are at risk for cognitive decline. We examined the prevalence of MBI across the spectrum from cognitively normal (CN), mild cognitive impairment (MCI), to dementia, and further investigated the association between the MBI domain and cognitive and functional impairment. MBI was assessed in 2337 elderly patients in the Alzheimer's Disease Neuroimaging Initiative database (mean age, 73.04 years; 52.8% male). Among the subjects, 868 (37.1%) had normal cognition, 1066 (45.6%) had MCI, and 403 (17.2%) had mild Alzheimer's dementia (AD). MBI was evaluated in accordance with the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment diagnostic criteria for MBI, utilising the Neuropsychiatric Inventory. We compared the prevalence of the MBI domain with CN using multinominal logistic regression analysis and further quantified the magnitude of the association between MCI/AD and the MBI domains by calculating the population attributable risk (PAR). We assessed the association between the MBI domains and cognitive and functional impairment using simultaneous linear regression analysis. The most common MBI domains in each diagnostic group were affective dysregulation followed by impulse dyscontrol, decreased motivation, social inappropriateness, and abnormal perception or thought content. The PARs for MBI domains in subjects with MCI or AD were respectively: 16.60% and 24.34% for affective dysregulation; 3.72% and 18.06% for impulse dyscontrol; 4.78% and 14.13% for decreased motivation, 1.91% and 2.29% for social inappropriateness; and 0.68% and 3.85% for abnormal perception or thought content. All MBI domains except for social inappropriateness were significantly associated with a higher 11-item Alzheimer's Disease Assessment Scale-Cognitive Subscale total score. All MBI domains were significantly associated with a higher Functional Activities Questionnaire total score. Our findings show that MBI is highly prevalent across subjects with CN, MCI, and AD and is associated with cognitive and functional decline. MBI could be a crucial clinical phenotype relevant to the risk of cognitive and functional impairment, and provides a useful dimension pertinent to diagnostic approaches.

Multimodal meta-learning through meta-learned task representations

Few-shot meta-learning involves training a model on multiple tasks to enable it to efficiently adapt to new, previously unseen tasks with only a limited number of samples. However, current meta-learning methods assume that all tasks are closely related and belong to a common domain, whereas in practice, tasks can be highly diverse and originate from multiple domains, resulting in a multimodal task distribution. This poses a challenge for existing methods as they struggle to learn a shared representation that can be easily adapted to all tasks within the distribution. To address this challenge, we propose a meta-learning framework that can handle multimodal task distributions by conditioning the model on the current task, resulting in a faster adaptation. Our proposed method learns to encode each task and generate task embeddings that modulate the model’s activations. The resulting modulated model become specialized for the current task and leads to more effective adaptation. Our framework is designed to work in a realistic setting where the mode from which a task is sampled is unknown. Nonetheless, we also explore the possibility of incorporating auxiliary information, such as the task-mode-label, to further enhance the performance of our method if such information is available. We evaluate our proposed framework on various few-shot regression and image classification tasks, demonstrating its superiority over other state-of-the-art meta-learning methods. The results highlight the benefits of learning to embed task-specific information in the model to guide the adaptation when tasks are sampled from a multimodal distribution.