Cluster Design Research Articles

Structure-guided design of a trivalent nanobody cluster targeting SARS-CoV-2 spike protein

Nanobodies are natural anti-SARS-CoV-2 drug candidates. Engineering multivalent nanobodies is an effective way to improve the functional binding affinity of natural nanobodies by simultaneously targeting multiple sites on viral proteins. However, multivalent nanobodies have usually been engineered by trial and error, and rational designs are still lacking. Here, we describe a structure-guided design of a self-assembled trivalent nanobody cluster targeting the SARS-CoV-2 spike protein. Using the nanobody Nb6 as a monovalent binder, we first selected a human-derived trimerization scaffold evaluated by molecular dynamics simulations, then selected an optimal linker according to the minimum distance between Nb6 and the trimerization scaffold, and finally successfully engineered a trivalent nanobody cluster called Tribody. Compared with the low-affinity monovalent counterpart (Nb6), Tribody showed much higher target binding affinity (KD < 1 pM) and thus had a 900-fold increase in antiviral neutralization against SARS-CoV-2 pseudovirus. We determined the cryo-EM structure of the Tribody-spike complex and confirmed that all three Nb6 binders of Tribody collectively bind to the three receptor-binding domains (RBDs) of the spike and lock them in a 3-RBD-down conformation, fully consistent with our structure-guided design. This study demonstrates that synthetic nanobody clusters with human-derived self-assembled scaffolds are potential protein drugs against SARS-CoV-2 coronaviruses.

Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016-2022.

The stepped-wedge cluster randomized trial (SW-CRT), in which clusters are randomized to a time at which they will transition to the intervention condition - rather than a trial arm - is a relatively new design. SW-CRTs have additional design and analytical considerations compared to conventional parallel arm trials. To inform future methodological development, including guidance for trialists and the selection of parameters for statistical simulation studies, we conducted a review of recently published SW-CRTs. Specific objectives were to describe (1) the types of designs used in practice, (2) adherence to key requirements for statistical analysis, and (3) practices around covariate adjustment. We also examined changes in adherence over time and by journal impact factor. We used electronic searches to identify primary reports of SW-CRTs published 2016-2022. Two reviewers extracted information from each trial report and its protocol, if available, and resolved disagreements through discussion. We identified 160 eligible trials, randomizing a median (Q1-Q3) of 11 (8-18) clusters to 5 (4-7) sequences. The majority (122, 76%) were cross-sectional (almost all with continuous recruitment), 23 (14%) were closed cohorts and 15 (9%) open cohorts. Many trials had complex design features such as multiple or multivariate primary outcomes (50, 31%) or time-dependent repeated measures (27, 22%). The most common type of primary outcome was binary (51%); continuous outcomes were less common (26%). The most frequently used method of analysis was a generalized linear mixed model (112, 70%); generalized estimating equations were used less frequently (12, 8%). Among 142 trials with fewer than 40 clusters, only 9 (6%) reported using methods appropriate for a small number of clusters. Statistical analyses clearly adjusted for time effects in 119 (74%), for within-cluster correlations in 132 (83%), and for distinct between-period correlations in 13 (8%). Covariates were included in the primary analysis of the primary outcome in 82 (51%) and were most often individual-level covariates; however, clear and complete pre-specification of covariates was uncommon. Adherence to some key methodological requirements (adjusting for time effects, accounting for within-period correlation) was higher among trials published in higher versus lower impact factor journals. Substantial improvements over time were not observed although a slight improvement was observed in the proportion accounting for a distinct between-period correlation. Future methods development should prioritize methods for SW-CRTs with binary or time-to-event outcomes, small numbers of clusters, continuous recruitment designs, multivariate outcomes, or time-dependent repeated measures. Trialists, journal editors, and peer reviewers should be aware that SW-CRTs have additional methodological requirements over parallel arm designs including the need to account for period effects as well as complex intracluster correlations.

Building person-centred homes: a case study of a cluster-designed home for adults with intellectual disability in Australia

AbstractA case study of 20 families investigated a cluster design of new homes for 15 adults with intellectual disabilities in Australia. It explored how families created a cluster home model for adults to live in their own homes with paid support in a modern context by answering three research questions: What type of home did parents choose for their children with intellectual disabilities and why? What type of home did they achieve? How did they overcome challenges to accomplish building the home? Families adopted a participatory design approach, collaborating as learning partners to secure government funding for purchasing land and constructing their cluster design. However, it was a complex project requiring many stakeholders with conflicting interests and priorities. Specifically, families rejected the group home model preferred by government agency staff, shifted the focus from technical building rules and design standards to prioritise each adult’s needs and preferences for their home, rejected institution-like fixtures/fittings when installed and used family governance to choose key support workers directly. Ultimately, the families created security of place through tenancy in attractive homes with government funding, welcoming neighbours and chosen support workers.

Evaluating the hepatitis B vaccination impact in the Republic of Moldova: A nationwide representative serosurvey of children born in 2013

ObjectivesThe WHO European Region set targets for the control of hepatitis B through immunization, including prevalence of hepatitis B surface antigen (HBsAg) at ≤0.5% in vaccinated cohorts. The Republic of Moldova implemented universal hepatitis B vaccination since 1995. We conducted a nationwide representative serosurvey to estimate HBsAg seroprevalence in children born in 2013 to validate hepatitis B control targets. MethodsWe used probability-based sampling and a two-stage cluster design. All children born in 2013 and registered in primary healthcare facilities were eligible for participation. We tested blood samples of all participants for hepatitis B core antibody (anti-HBc), using Enzyme-Linked Immunosorbent Assay (ELISA). Anti-HBc-positive samples were tested for HBsAg and HBsAg-positive samples confirmed, using ELISA. We obtained information on hepatitis B vaccination from vaccination cards. ResultsOf 3352 sampled children, 3064 (91%) participated. Most participating children were 7 years old (n = 3030, 99%), 1426 (48%) were girls. The weighted, national seroprevalence estimate was 3.1% (95% confidence interval = 2.1-4.5) for anti-HBc and 0.21% (95% confidence interval = 0.08-0.53) for HBsAg. ConclusionThe study demonstrated the impact of hepatitis B vaccination and allowed the Republic of Moldova to validate regional hepatitis B control targets. Other countries with high vaccination coverage could use hepatitis B serosurveys and apply for validation. Sustained efforts in the Republic of Moldova will be crucial on the path to hepatitis B elimination.

Efficacy of a Supplemental Small-Group Early Literacy Intervention Implemented by Early Childhood Educators.

Phonological awareness and alphabet knowledge are fundamental building blocks for literacy development. We identified preschoolers with persistent delays in these skills and evaluated the efficacy of a supplemental curriculum to remediate deficits in early literacy skills. Using a cluster design, 21 classrooms were randomly assigned to early literacy versus language intervention conditions. Sixty children identified through fall semester assessments of phonological awareness and alphabet knowledge were enrolled in small-group instruction. Teachers completed eLearning modules, used a digital platform to enter data and facilitate data-based decision making, received practice-based coaching, and delivered 12 weekly units of an early literacy curriculum. Comparison teachers delivered similarly administered small-group language instruction. Large effects were evident for letter sounds, phoneme segmentation, first sound, and first sound fluency measures (d = 0.92, 4.77, 1.15, and 1.50, respectively), and nonsignificant, small effects for letter naming and blending measures (d = 0.26 and 0.27). This early literacy intervention package had practical benefits, with 90% of experimental group preschoolers exceeding the phonemic awareness benchmark for beginning kindergarten compared to 45% in the comparison group, for example. Providing preschool teachers with tools and support for implementing a tiered approach to early literacy intervention holds promise for producing impressive gains in skills required for children to succeed in later schooling.

80 The Association between Periodontal Disease and Self-Reported Cognitive and Functional Decline at Age 60 in a Large, Multicultural Cohort Study

Objective:We assess the association between self-reported history of periodontal disease diagnosis with self-reported cognitive and functional decline at age ∼60. We also investigate (1) the roles of social background, demographic characteristics, education, and adolescent test scores in confounding that association and (2) the role of cardiovascular disease in mediating that association.Participants and Methods:We use data from a nationally representative sample of 13,525 people who participated in the 2021 wave of the High School &amp; Beyond (HSB) cohort study. HSB began in 1980 with a nationally-representative sample of American 10th and 12th grade students; these students have been followed up on six occasions since 1980, yielding extraordinary and prospectively-collected life course data on all key measures for a large, multicultural sample.In 2021, HSB sample members were evaluated with neuropsychological tests that evaluated list learning and memory, semantic and letter fluency, and working memory. They were also asked to self-report memory and functional decline using the AD8, using a cutoff of 2 or more items for significant concerns. Mild Cognitive Impairment will be identified using an algorithm validated in a similar sample of middle aged participants.Sample members were also asked in 2021 whether a medical professional had ever diagnosed them with periodontal disease; those responding affirmatively were then asked the years in which they started and stopped having periodontal disease.Measures of social and economic background; demographic characteristics; and educational contexts, opportunities, and attainments were measured prospectively—and in great detail—in the surveys administered in the 1980s. Critically, almost all sample members completed a series of cognitive tasks during adolescence, allowing us to address a key set of confounders in the relationship between periodontal disease and MCI. Markers of cardiovascular disease were measured in both 2013 and 2021.We estimate logistic regression models predicting significant cognitive and functional concerns as a function of periodontal disease history; we also estimate models that account for confounders, including social background, demographic characteristics, education, and cognitive skills during adolescence; finally, we estimate models that account for the mediating role of cardiovascular disease. All models account for the clustered sampling design of HSB and employ sampling weights to account for HSB’s complex sampling design and selective attrition from the panel.Results:About 15% of the cohort has been diagnosed with periodontal disease, and nearly one in five had significant cognitive and functional concerns.People with a history of periodontal disease were more likely to report significant cognitive and functional concerns. This association remains substantive and statistically significant after adjusting for confounders. All else equal, the odds of people with a history of periodontal disease having an AD8 score of 2 or higher were about 60% greater than the odds of those not reporting periodontal disease. Very little of this association can be attributed to cardiovascular disease as a mediating pathway.Conclusions:People with a history of periodontal disease are at greatly elevated risk of self-reported cognitive and functional concerns at age ∼60. This supports evidence— never before collected at this scale in a long-term, representative cohort study—that oral pathogens may contribute to cognitive well-being over the life course.

81 Occupation Complexity Mediates the Association between Education and Self-Reported Cognitive and Functional Decline in 60-Year-Olds

Objective:We ask about the degree to which the association between (1) the quantity and quality of people’s education and (2) midlife self-reported concerns about cognition and daily function is mediated by occupational complexity. The overarching hypothesis is that amount and quality of education provides people with access to better jobs, including jobs that are more cognitively complex. Occupational complexity, in turn, may be protective against cognitive impairment. If true, this means that part of the poorly-understood connection between education and cognitive impairment can be attributed to occupational complexity.Participants and Methods:We use data from a nationally representative sample of 13,525 people who participated in the 2021 wave of the High School &amp; Beyond (HSB) cohort study. HSB began in 1980 with a nationally-representative sample of American 10th and 12th grade students; these students have been followed up on six occasions since 1980, yielding extraordinary and prospectively-collected life course data on all key measures for a large, multicultural sample.In 2021, HSB sample members were evaluated with neuropsychological tests that evaluated list learning and memory, semantic and letter fluency, and working memory. They were also asked to self-report memory and functional decline using the AD8, using a cutoff of 2 or more items for significant concerns. Mild Cognitive Impairment will be identified using an algorithm validated in a similar sample of middle aged participants.HSB surveys gathered information about sample members’ labor force activities in every survey between 1980 and 2021, including information sufficient to code verbatim reports of occupations to the standards of the 2010 Standard Occupational Classification. We have linked these codes for sample members’ 2013 and 2021 occupations to the O*Net database, which includes extensive information about the cognitive complexity (and other attributes) of every occupation.Measures of key confounders—including social and economic background; demographic characteristics; educational contexts, opportunities, and attainments that are associated with labor force outcomes; adolescent achievement test scores; and aspects of midlife occupations besides complexity (e.g., how well they pay)—were measured prospectively and in great detail in the surveys administered between the 1980s and 2021.We estimate logistic regression models predicting significant cognitive and functional concerns as a function of educational contexts, opportunities, and outcomes; we also estimate models that account for the confounders listed above. Our main focus is on coefficients for education in models that do and do not include occupational complexity as a mediator. All models account for the clustered sampling design of HSB and use sampling weights to account for HSB’s complex sampling design and selective attrition from the panel.Results:Nearly one in five cohort members had significant cognitive and functional concerns; rates are lower for non-Latinx Whites and for better educated people. Associations between educational contexts, opportunities, and outcomes (including attainment) are robust, even after adjusting for confounders.Between one quarter and one third of the conditional association between education and self-reported cognitive and functional concerns can be attributed to occupational complexity.Conclusions:Occupational complexity is an important pathway through which more and better education protects people from concerns about cognitive and functional decline at about age 60.

A Korean Nationwide Cross-Sectional Study Investigating Risk Factors, Prevalence, and Characteristics of Sarcopenia in Men in Early Old Age

The present study investigated the risk factors, prevalence, and characteristics of sarcopenia among men aged 50–64 years. A total of 2868 participants were enrolled in this study. Of these, 328 individuals were classified into a sarcopenia group; the remaining 2540 were assigned to a control group. This study examined several variables, including skeletal muscle mass index, age, height, weight, body mass index, waist circumference, systolic and diastolic blood pressure, fasting glucose, triglyceride and total cholesterol levels, alcohol consumption, and tobacco use. It employed a stratified, clustered, and multistage probability sampling design. Complex sampling was used for the data analysis. The prevalence of sarcopenia was 10.25% (95% CI: 8.98–11.69). All anthropometric measures, including height, weight, BMI, and waist circumference, were significantly different between the two groups (p &lt; 0.05). In terms of blood pressure, only systolic blood pressure (SBP) was significant (p &lt; 0.05), and fasting glucose and triglyceride levels were risk factors for sarcopenia (p &lt; 0.05). Tobacco use differed significantly between the two groups (p &lt; 0.05). This study reported the specific prevalence of sarcopenia and identified its risk factors among men in early old age.

Cluster ensemble selection and consensus clustering: A multi-objective optimization approach

Cluster ensembles have emerged as a powerful tool to obtain clusters of data points by combining a library of clustering solutions into a consensus solution. In this paper, we address the cluster ensemble selection problem and design a multi-objective optimization-based solution framework to produce consensus solutions. Given a library of clustering solutions, we first design a preprocessing procedure that measures the agreement of each clustering solution with the other solutions and eliminates the ones that may mislead the process. We then develop a multi-objective optimization algorithm that selects representative clustering solutions from the preprocessed library with respect to size, coverage, and diversity criteria and combines them into a single consensus solution, for which the true number of clusters is assumed to be unknown. We conduct experiments on different benchmark data sets. The results show that our approach yields more accurate consensus solutions compared to full-ensemble and the existing approaches for most data sets. We also present an application on the customer segmentation problem, where our approach is used to segment customers and to find a consensus solution for each segment, simultaneously.

Resource use and cost associated with computerized decision support system and usual care in managing patients with atrial fibrillation: analysis of IMPACT-AF randomized trial data

BackgroundIMPACT-AF is a prospective, randomized, cluster design trial comparing atrial fibrillation (AF) management with a computerized decision support system (CDS) to usual care (control) in the primary care setting of Nova Scotia, Canada. The objective of this analysis was to compare the resource use and costs between CDS and usual care groups.MethodsCase costing data, 12-month self-administered questionnaires, and monthly diaries from IMPACT-AF were used in this analysis. Descriptive statistics were used to compare costs and resource use between groups. All costs are presented in 2021 Canadian dollars and cover the 12-month period of participation in the study.ResultsA total of 1,145 patients enrolled in the trial. Case costing data were available for 466 participants (41.1%), 12-month self-administered questionnaire data for 635 participants (56.0%) and monthly diary data for 223 participants (19.7%). Emergency department visits and hospitalizations comprised the most expensive component of AF care. Across all three datasets, there were no statistically significant differences in costs or resource use between CDS and usual care groups.ConclusionsAlthough there were no significant differences in resource use or costs among CDS and usual care groups in the IMPACT-AF trial, this study provides insight into the methodology and practical challenges of collecting economic data alongside a trial.RegistrationClinicaltrials.gov (registration number: NCT01927367, date of registration: 2013-08-20).

Evaluation of an enhanced service for medication review with follow up in Swiss community pharmacies: Pre-post study protocol.

In Switzerland, 20,000 people are hospitalized each year as result of drug related problems (DRPs). The sources of DRPs can be related to patients' behavior (i.e., wrong administration) or to health processes (i.e., drug-drug interaction). No community pharmacy (CP) service focus on DRPs related to patients' behavior is currently recognized or remunerated in Switzerland. A medication review with follow up (MRF) has been developed to evaluate prescription and non-prescription medication. To evaluate the impact of MRF service for the identification and management DRPs associated to patients' behavior and to describe pharmaceutical interventions carried out through MRF. A pre-post intervention study with a cluster design and one intervention group will be carried out in CPs in the canton of Vaud (Switzerland) for 15 months. Volunteer pharmacists will be trained on the identification and management of DRPs related to patients' behavior. After training, they will include randomly selected adults taking four or more chronic drugs prescribed for at least three months prior to recruitment. Then, they will conduct three pharmacist-patient face-to-face consultations at 6-month intervals. Tasks will be differentiated by pharmacy technician or pharmacist to triage expired medication or to manage DRPs in a structured manner, respectively. The primary outcome is the identification of DRPs associated to patients' behavior. Secondary outcomes are to assess patients' medication knowledge, number of expired medications, interventions carried out by pharmacists and pharmacists' satisfaction. The study will begin in April 2023 in 19 to 35 pharmacies that will recruit at least 162 patients. A sub analysis will be carried out for patients with 65 years old or over. The MRF intervention features a training designed for an enhanced evaluation of patient's behavior towards their medication. The study will allow the assessment and management of DRPs in Swiss CPs with the support of the local health authorities and pharmacist association. Clinicaltrials.gov NCT05348538.

Research on the development of teaching resource library for art design majors based on artificial intelligence technology

Abstract This paper establishes the general architecture of the teaching resource repository through the design of course clusters and specific course resource organizations for the teaching characteristics of art and design majors and builds the business process from two aspects: teacher course resource archiving and student assignment management. For the association of knowledge points of teaching resources in the repository, the coding of text semantics is completed based on BERT, the text data is enhanced by a two-way maximum matching algorithm, and the enhanced data is input into the LSTM-CRF model for training to achieve entity prediction of knowledge points. For the recognition of art design teaching resources, the F1 score of this paper’s method is improved by 9.56% compared with the ATT-CNN model and 2.65% compared with the currently known better model ATT-BLSTM, which can better characterize the semantic information of the text.

“Current incidence of injuries in Iran; findings of STEPS survey 2021”

BackgroundThe updated epidemiology of injuries at the national and sub-national levels are required for policymakers to effectively handle the burden of injuries. This paper aimed to assess the incidence and risk factors of different injuries in Iran based on a recent national survey. MethodsWe used data from Iran Stepwise approach to surveillance (STEPS) Survey 2021, a population-based study in urban and rural areas of Iran's 31 provinces. A multistage clustered probability design and weighting adjustments were used to select eligible individuals and generate estimations. We estimated the incidence of injuries, assessed sociodemographic variables, and identified potential behavioral risk factors associated with injuries, and results were reported for sociodemographic and geographic stratifications. ResultData from 27,874 participants of the STEPS survey were assessed, of which 1538 (5.5 %, 95 % CI: [5.2–5.8]) reported having an injury in the past 12 months. Falls (44.4 %) were the most common cause of injury, followed by road traffic injury (21.7 %) and exposure to mechanical forces (16.5 %). Except for falls and burns, males had a higher proportion of all types of injuries. Logistic regression analysis showed that being male (OR: 1.7, [1.5, 2.0]) and being an occasional or heavy alcohol drinker (OR: 2.0, [1.3, 3.0] and OR: 2.7, [1.7, 4.1] respectively) were significant risk factors associated with road traffic injuries. Seatbelt use was 90.0 % among both drivers and front-seat passengers, while the use of safety car seats for children was as low as 9.4 %. Injury incidence varied significantly among provinces, with the highest incidence among males observed in Razavi Khorasan (11.2 %) and among females observed in Tehran (12.0 %). ConclusionThis study investigated the updated epidemiology of injuries in Iran and revealed socioeconomic and geographic disparities across country. This epidemiological information can be used to modify injury prevention programs.

Comprehensive optimization of urban building cluster morphology based on microclimate: A two-level optimization approach

Building cluster morphology plays a crucial role in shaping urban microclimate. Due to the global warming and urban expansion, urban microclimate environment has encountered several problems, like extreme heat or cold stress events. The practical design of building clusters often involves multi-scale, multi-faceted problems and contradiction points which is always challenging to solve. This paper proposes a “two-level” optimization framework for the layout and form design of building clusters in the aspect of engineering applications. A case design project is used to demonstrate the effectiveness of the proposed framework through detailed seasonal simulation. Results show that, comparing with the base case, the candidate design plan (i.e., Plan C) is attractive given the mean UTCI of the selected locations is lower by 0.73 °C in the cooling season noon and higher by 1.91 °C in the heating season at night. Results also indicate that the layout of a building cluster has greater impacts on the outdoor thermal environment during the heating season than the cooling season. Considering Plan C still has a heat/cold stress, further refinements have been performed on the local micro climate to adjust the wind corridor and solar radiation at the lower-level of architectural form. Finally, comprehensive design strategies have been synthesized for the building cluster design.

Estimated risk of cardiovascular events and long-term complications: The projected future of diabetes patients in Delhi from the DEDICOM-II survey

ProblemDespite high prevalence and ethnic susceptibility, limited published estimates are available on long term complication risks among known diabetes patients in India. Hence, we undertook evaluation of the cardiovascular risk of known diabetes patients from Delhi. MethodsThe community-survey was conducted using a probability-proportionate-to-size(systematic) 2-stage cluster design. Thirty areas were selected for a house-to-house survey to recruit 25 to 30 subjects (known diabetes ≥1 year; 35–65 years of age) per area. Scores from the UKPDS 2.1, UKPDS 2.0, Framingham, ASCVD, WHO, NHS and SCORE studies were used for 10-year risk calculation. ResultsWe enrolled 843 subjects of which 800 consented for blood sampling. The mean age of the subjects was 53.0(52.1–54.0) years, the mean duration since diagnosis was 7.1(6.7–7.5) years, with 49.8 % women. 61.8 % were hypertensive, 81.5 % were dyslipidaemic and 53.3 % had poor glycaemic control. Although variable, risk engines estimates were consensual in projecting a high ten-year Coronary-Heart-Disease risk of 10–16 %, a stroke risk of 3.7–5.0 %, and a 5.0–5.7% risk of cardiovascular fatality. These risks were 1.5–3 times the ‘risk at target levels’ suggesting mitigability. Only 9.3 %, 16.0 %, and 30.0 % were taking aspirin, lipid lowering drugs and antihypertensives respectively. ConclusionThe study highlights the impending impact of, and the scope for improvement in the cardiovascular risk profile of diabetes patients in Delhi, including the use of cardioprotective medications. It strengthens the case for developing and testing potential interventions for improvement.

Subnano Te Cluster in Glass for Efficient Full-Spectrum Conversion.

Broadband near-infrared (NIR) photonic materials have wide applications. Although extensive studies on rare-earth, transition-metal, and even semiconductor-activated materials have enabled the development of a rich NIR material pool, developing broadband and efficient photonic candidates covering the NIR I and II regions from 750 to 1500nm has been met with limited success. Here, it is reported that a subnano Te cluster with a characteristic configuration different from that of the ion state may fill the aforementioned gap. Further, a strategy is proposed for the in situ generation and stabilization of Te clusters by tuning the cluster evolution in glass. A novel active photonic glass embedded with a Te cluster is fabricated; it exhibits intense and broadband short-wave NIR luminescence with a central wavelength at 1030nm and a bandwidth exceeding 330nm. Interestingly, the glass exhibited a full visible-spectrum conversion ability from 300 to 800nm. The application of this unique broadband excitation feature for night vision and tissue penetration is demonstrated using a smartphone as the excitation source. These findings demonstrate a fundamental principle of cluster design in glass for creating new properties and provide a new direction for developing novel cluster-derived functional composite materials.

Molecular and Epidemiological Analyses of Sheeppox Outbreaks in Russia from 2013 to 2021

Sheeppox (SPP) is a transboundary infectious disease that affects sheep and goats, leading to significant losses in countries with extensive small ruminant breeding programs. While sporadic SPP outbreaks have been observed in the Russian Northern Caucasus and the Far East, the number of SPP outbreaks in the Russian Central and Far East regions has increased recently. However, there is a lack of epidemiological data on SPP virus (SPPV) in the Northern latitudes. In this study, we conducted epidemiological and genetic analyses of SPP outbreaks in Russia from 2013 to 2021 using whole-genome sequences of five selected isolates. The epidemiological data revealed an elevated risk of SPP outbreaks during the summer months, although outbreaks were not limited to this period. A phylogenetic analysis of the whole-genome sequences of selected SPPVs obtained directly from clinical samples revealed a unique cluster of SPPV isolates circulating in Central Russia, which was related to previous isolates from the European part of Russia. In contrast, SPPVs obtained from the Russian Far East showed genetic similarity to isolates detected in Southeast Asia. The whole-genome sequences demonstrated that the reported outbreaks were not related to the NISKHI vaccine strain, which was used to combat lumpy skin disease and SPP in Russia. Based on the study findings and GenBank data, we propose a novel cluster designation system for SPPV genomic sequences.

Towards reduction of bending-extension coupling in unsymmetrical laminates using multi-objective heat transfer search

The main advantage of composite materials is the ability to tailor the properties of stacking sequences. Unsymmetrical laminate involves an arbitrary even or odd number of fiber layers oriented at different angles wherein identical fiber orientation above and below mid-surface does not exist. In the case of these laminates, the coupling deformation is undesired during mechanical loads and symmetrical laminates may not be the best solution for all cases. In this work, an effort has been made to present the methodology to minimize the end effects of bending-extension coupling in the case of unsymmetrical laminates to make it widely applicable. The infinite plate containing the circular and elliptical hole is studied with various in-plane loading conditions. The end effect of bending-extension coupling is presented by the multi-objective problem of minimization of the normalized tangential force and moment. The non-dominated sorting heat transfer search algorithm is employed to solve this optimization problem wherein TOPSIS decision-making technique is used to obtain the best values from the Pareto solution. The different cluster-based methods are proposed to utilize the unsymmetrical laminates most effectively. The effects of these clusters on the bending-extensional coupling are investigated and results reveal that cluster design presenting each fiber angle value distinctly is the best design among all recommended in the present investigation. More than 70% of the bending-extensional coupling is reduced in most cases. A unique correlation is found between the cluster design and fiber angles of the optimum stacking sequences. The proposed approach and designs will support the potential use of unsymmetrical laminates by improving properties through tailoring stacking sequences.

Cluster Content Caching: A Deep Reinforcement Learning Approach to Improve Energy Efficiency in Cell-Free Massive Multiple-Input Multiple-Output Networks.

With the explosive growth of micro-video applications, the transmission burden of fronthaul and backhaul links is increasing, and meanwhile, a lot of energy consumption is also generated. For reducing energy consumption and transmission delay burden, we propose a cell-free massive multiple-input multiple-output (CF-mMIMO) system in which the cache on the access point (AP) is used to reduce the load on the link. In this paper, a total energy efficiency (EE) model of a cache-assisted CF-mMIMO system is established. When optimizing EE, forming the co-operation cluster is critical. Therefore, we propose an energy-efficient joint design of content caching, AP clustering, and low-resolution digital-to-analog converter (DAC) in a cache-assisted CF-mMIMO network based on deep reinforcement learning. This scheme can effectively cache content in APs and select the appropriate DAC resolution. Then, taking into account the channel state information and user equipment (UE)'s content request preference, a deep deterministic policy gradient algorithm is used to jointly optimize the cache strategy, AP clustering, and DAC resolution decisions. Simulation results show that the energy efficiency of the proposed scheme is 4% higher than that of other schemes without the resolution optimization and is much higher than that of the only AP clustering without the joint design of content caching and channel quality.

Nutrition facts labels: who is actually reading them and does it help in meeting intake recommendations for nutrients of public health concern?

BackgroundFiber, potassium and calcium are nutrients of public health concern and their intakes in the United States are alarmingly low. The usage of nutrition facts labels has been reported to increase the odds for dietary reference intake of fiber in some studies. The overall evidence, however, is mixed, as some studies suggested that nutrition facts panels have little to no effect on average measures of diet quality. Here, we investigated whether the usage of nutrition facts labels was associated with meeting U.S. intake recommendations for three nutrients of public health concern: fiber, potassium and calcium.MethodsWe used cross-sectional multistage, stratified, clustered and probability sampling design data from the U.S. National Health and Nutrition Examination Surveys 2017–2020 cycle. The sample included 5,416 individuals aged 20 years or older, which may be extrapolated to represent 146,841,866 US Americans. Nutrient intakes were compared among individuals reading nutrition facts panels “frequently”, “sometimes” or “rarely” using applied survey data analyses techniques (including multivariate logistic regression and marginsplots).ResultsWe observed substantial sociodemographic differences between the three groups. Frequent readers were significantly more likely to be female and had higher educational levels. On average, they were also significantly older as compared to rare readers. Fiber intake in g/d was highest in frequent readers (17.09) and lowest in rare readers (14.64). The proportion of participants that met dietary fiber intake recommendations was almost four times higher in the frequent readers group (12.69%) as compared to the rare readers group (3.69%). In a bivariate logistic regression model, frequent label reading significantly increased the odds for meeting the fiber recommendations in Dietary Guidelines for Americans (OR: 2.15, p < 0.001). Rarely reading labels decreased the odds (OR: 0.57, p = 0.003). These odds remained essentially unchanged after adjusting for sociodemographic covariates, diabetes status and body mass index (OR: 1.84, p = 0.004; and OR: 0.62, p = 0.022).ConclusionsNutrition facts panel reading associates with fiber intake. Our findings have potential implications for public health nutrition strategies that may center around educational work.