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Insertion of malicious circuits commonly known as Hardware Trojans into an original integrated circuit (IC) design to alter the functionality has been a major concern in recent years. As a result, over the years multiple techniques have been suggested by researchers to combat these malicious threats. Hard to test nets in any logic circuit are the most vulnerable to insertion of Hardware Trojans. Testability analysis is the process of identification of these hard to test nets in a logic circuit. Testability analysis is achieved through the testability metrics namely controllability and observability. Testability metrics can be used as a yardstick in devising efficient Hardware Trojan detection methods. The crux of this study is a novel method for identification of susceptible nets that are prone to Hardware Trojan insertions in a logic circuit. The study also presents a comprehensive analysis of the impact on testability parameters as a result of Hardware Trojans in the identified susceptible nets. The method utilises the testability parameters of nets to define threshold values for isolating susceptible nets in a design. The study details out the impact of the number of trigger inputs as well as the distribution of trigger nets on the testability metrics of digital circuits.

Objective This study aims to investigate nursing staff’s current knowledge-attitude-practice(KAP) regarding nursing document quality control and to explore effective methods to enhance their awareness of nursing documents’ importance through intensive training. Methods We developed the questionnaire based on a systematic literature review and two rounds of Delphi expert consultation. Then, we sent the questionnaire to the nurses before and after the intensive training.Data processing and statistical analysis were conducted using R 4.4.0 software. Results Altogether, 722, 701, and 800 nurses participated in the questionnaire survey before the training and after two training rounds, respectively. There was no statistically significant difference between the respondents’ baseline data (gender, age, professional title, position, educational background, and working years) before and after the training. After two rounds of intensive quality control training, the nursing staff’s median scores in the knowledge, attitude, and practice dimensions increased from 45 points before the training to 49, 50, and 50 points, respectively, and the difference was statistically significant ( P  < 0.05). Regression analysis indicated that the longer the working years, the higher the scores of the nursing staff after the training (3–5 years, P  < 0.01, 95% Confidence Interval (CI), 0.2–0.57), (6–10 years, P  < 0.01, 95% CI, 0.35–0.73), (> 10 years, P  = 0.003, 95% CI, 0.32–0.72).The nursing staff with the titles of Chief Nurse ( P  < 0.01, 95% CI, 0.2–0.54) and Deputy Chief Nurse ( P  < 0.01, 95% CI, 0.21–0.74) scored higher after the training. Conclusion This study shows that, after two rounds of training, nurses’ KAP of the quality control of nursing documents significantly improved. The training had a positive impact on their KAP, which is conducive to enhancing the quality of nursing documents and nursing care. Therefore, hospitals should emphasize the quality control of nursing documents and take effective measures to help nurses continuously improve the quality of nursing documents.

Biomarkers associated with prognosis in multiple myeloma (MM) can be used to stratify patients into risk categories. An attractive alternative to uniform treatment (UT), risk-stratified treatment (RST) is proposed where high-risk patients receive bortezomib-based regimens while standard-risk patients receive alternative less costly regimens. An early Markov-type decision analytic model evaluated the potential therapeutic and economic value of different RST strategies compared with UT in MM patients in key European countries. Results suggest RST strategies were both cheaper and more effective than UT across all countries, with the molecular marker-only strategy RST-SKY92 producing maximum health gains (0.031-0.039 QALYs). The conclusions remained consistent in the univariate sensitivity analyses. These findings should encourage stakeholders to support the adoption of RST approaches in MM.

Preschool children naturally display competitive behavioral patterns. The purpose of the current study was to investigate the association between preschool children’s regulation (regulatory and control components) and competitive behaviors (task-oriented and other-referenced). A total of 260 preschool children (47.7% girls) ranging in age from 49 to 72 months (M = 63.83, SD = 6.17) were recruited for the current study. The participating teachers reported on children’s regulation and competitive behaviors. Hierarchical multiple regression analyses that accounted for the nesting structure of the data revealed that children’s regulation and control skills were significantly related to their task-oriented competition. Child gender moderated the association between regulation and task-oriented competition such that being highly regulated contributed to children’s task-oriented competition, specifically for boys. Control skills were negatively associated with children’s other-referenced competition. Implications of the study and future directions are discussed.

What are the trends in patient characteristics, effectiveness and safety of assisted reproductive technology (ART) performed in Latin America over the past three decades, as well as the detailed outcomes of procedures initiated in 2018?. Retrospective collection of multinational data including epidemiology and outcomes of ART performed between 1990 and 2018. Over these 30 years we report 955,117 initiated cycles, 191,191 deliveries and 238,045 live births. In 1990, 66.5% of women were ≤34 years and 8.7% ≥40 years; in 2018, 26.4% of women were ≤34 years and 32.0% were ≥40 years. In 1990, 60.4% of transfers included ≥3 embryos, falling to 13.5% in 2018, and single embryo transfer (SET) increased from 13.8% to 30.4% between 1990 and 2018. Delivery rate per fresh transfer increased from approximately 17% in the 1990s to 25% in 2018, with a meaningful drop in high-order multiples, from 5-9% in the 1990s to 0.4% in 2018. This drop is associated with increasing use of frozen embryo transfer (FET) (57% in 2018) compared with 10% in 2000. In 2018, delivery rate in FET was 28.3%, reaching 31.2% in freeze-all cycles; and the cumulative live birth rate (fresh + FET) was 41.9%. Elective SET also increased, from 0.9% in 2010 to 10% in 2018. The delivery rate in elective SET (31.7%) was only 5.4% lower than elective double embryo transfer (DET) (37.1%); however, multiple births increased from 2.1% to 25.5% twins and 0.4% triplets in elective DET. The Latin American Registry of Assisted Reproduction (RLA) celebrates 30 years of voluntary reporting from a total of nearly 200 centres in 15 countries. This South-South Cooperation network has proven to be an efficient and safe system for technological transfer and regional growth.

Positron emission tomography (PET) with 18-fluorodeoxyglucose (FDG) is a potentially useful but expensive test to diagnose solitary pulmonary nodules. To evaluate the cost-effectiveness of strategies for pulmonary nodule diagnosis and to specifically compare strategies that did and did not include FDG-PET. Decision model. Accuracy and complications of diagnostic tests were estimated by using meta-analysis and literature review. Modeled survival was based on data from a large tumor registry. Cost estimates were derived from Medicare reimbursement and other sources. All adult patients with a new, noncalcified pulmonary nodule seen on chest radiograph. Patient lifetime. Societal. 40 clinically plausible combinations of 5 diagnostic interventions, including computed tomography, FDG-PET, transthoracic needle biopsy, surgery, and watchful waiting. Costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios. The cost-effectiveness of strategies depended critically on the pretest probability of malignancy. For patients with low pretest probability (26%), strategies that used FDG-PET selectively when computed tomography results were possibly malignant cost as little as 20 000 dollars per QALY gained. For patients with high pretest probability (79%), strategies that used FDG-PET selectively when computed tomography results were benign cost as little as 16 000 dollars per QALY gained. For patients with intermediate pretest probability (55%), FDG-PET strategies cost more than 220 000 dollars per QALY gained because they were more costly but only marginally more effective than computed tomography-based strategies. The choice of strategy also depended on the risk for surgical complications, the probability of nondiagnostic needle biopsy, the sensitivity of computed tomography, and patient preferences for time spent in watchful waiting. In probabilistic sensitivity analysis, FDG-PET strategies were cost saving or cost less than 100 000 dollars per QALY gained in 76.7%, 24.4%, and 99.9% of computer simulations for patients with low, intermediate, and high pretest probability, respectively. FDG-PET should be used selectively when pretest probability and computed tomography findings are discordant or in patients with intermediate pretest probability who are at high risk for surgical complications. In most other circumstances, computed tomography-based strategies result in similar quality-adjusted life-years and lower costs.

The problem of variable selection is one of the most pervasive model selection problems in statistical applications. Often referred to as the problem of subset selection, it arises when one wants to model the relationship between a variable of interest and a subset of potential explanatory variables or predictors, but there is uncertainty about which subset to use. This vignette reviews some of the key developments that have led to the wide variety of approaches for this problem.

Context: Strategic planning in population health and public health practice often uses single indicators of success or, when using multiple indicators, provides no mechanism for coherently combining the assessments. Cost-effectiveness analysis, the most complex strategic planning tool commonly applied in public health, uses only a single metric to evaluate programmatic choices, even though other factors often influence actual decisions. Methods: Our work employed a multicriteria systems analysis approach— specifically, multiattribute utility theory—to assist in strategic planning and priority setting in a particular area of health care (vaccines), thereby moving beyond the traditional cost-effectiveness analysis approach. Findings: (1) Multicriteria systems analysis provides more flexibility, transparency, and clarity in decision support for public health issues compared with cost-effectiveness analysis. (2) More sophisticated systems-level analyses will become increasingly important to public health as disease burdens increase and the resources to deal with them become scarcer. Conclusions: The teaching of strategic planning in public health must be expanded in order to fill a void in the profession's planning capabilities. Public health training should actively incorporate model building, promote the interactive use of software tools, and explore planning approaches that transcend restrictive assumptions of cost-effectiveness analysis. The Strategic Multi-Attribute Ranking Tool for Vaccines (SMART Vaccines), which was recently developed by the Institute of Medicine and the National Academy of Engineering to help prioritize new vaccine development, is a working example of systems analysis as a basis for decision support.

We review the principles underlying cost-effectiveness analysis of diagnostic tests and procedures. We use two clinical examples, diagnostic testing for early multiple sclerosis and for Helicobacter pylori to illustrate the methods of analysis and to show how the results can be useful for physicians or payers of health services in making decisions about provision and use of diagnostic services. Economic assessments of diagnostic tests are inherently more difficult than assessments of therapeutic interventions, mainly because of uncertainty about the relation between diagnosis and end results (outcomes) of care. Nonetheless, because of the increasing importance of diagnostic technology in medicine and healthcare, only with such assessments will the most value be gained from restricted medical resources.

Background This study assessed the validity of the Resident Assessment Instrument Minimum Data Set (RAI-MDS) Version 2.0 for diagnoses of diabetes and comorbid conditions in residents of long-term care facilities (LTCFs). Methods Hospital inpatient, outpatient physician billing, RAI-MDS, and population registry data for 1997 to 2011 from Saskatchewan, Canada were used to ascertain cases of diabetes and 12 comorbid conditions. Prevalence estimates were calculated for both RAI-MDS and administrative health data. Sensitivity, specificity, and positive and negative predictive values (PPV and NPV) were calculated using population-based administrative health data as the validation data source. Cohen’s κ was used to estimate agreement between the two data sources. Results 23,217 LTCF residents were in the diabetes case ascertainment cohort. Diabetes prevalence was 25.3% in administrative health data and 21.9% in RAI-MDS data. Overall sensitivity of a RAI-MDS diabetes diagnoses was 0.79 (95% CI: 0.79, 0.80) and the PPV was 0.92 (95% CI: 0.91, 0.92), when compared to administrative health data. Sensitivity of the RAI-MDS for ascertaining comorbid conditions ranged from 0.21 for osteoporosis to 0.92 for multiple sclerosis; specificity was high for most conditions. Conclusions RAI-MDS clinical assessment data are sensitive to ascertain diabetes cases in LTCF populations when compared to administrative health data. For many comorbid conditions, RAI-MDS data have low validity when compared to administrative data. Risk-adjustment measures based on these comorbidities might not produce consistent results for RAI-MDS and administrative health data, which could affect the conclusions of studies about health outcomes and quality of care across facilities.