Are students' math and verbal motivational beliefs malleable? The role of praise in dimensional comparisons.

To determine their academic strengths and weaknesses, students compare their own performance across domains (e.g., math vs. English), a process referred to as dimensional comparisons. For example, individuals' higher-scoring English performance may negatively affect their math motivational beliefs (competence self-concepts and intrinsic values), resulting in favoritism toward English. Students' motivation can also be affected by praise from adults. However, praise in one domain (e.g., English) may have unexpected negative effects on motivation in the contrasting domain (e.g., math) through dimensional comparisons. We experimentally investigated the impact of receiving praise in only one domain on students' domain-specific motivational beliefs. We hypothesized that students would have higher motivational beliefs in the praised domain and lower motivational beliefs in the non-praised domain compared with students who received no praise. Seventh- to ninth-graders (10- to 15-year-olds; N = 108; 46 girls; 92 living in the United States; 84.8% White, 2.9% Asian or Asian American, 2.9% Black or African American, 9.5% multiple races; parents' education range: 13-18 years) showed heightened verbal competence self-concepts after receiving praise on either verbal or math performance. College students (first to fifth year; N = 109; 89 women; 105 living in the United States; 58.9% White, 21.5% Asian or Asian American, 10.3% Black or African American, 5.6% multiple races, 3.7% other races) showed higher verbal intrinsic values after receiving praise on verbal performance. Results supported positive effects of praise in the verbal domain only and were inconsistent with the predicted negative effects on the non-praised domain. We suggest that students' verbal motivational beliefs are more malleable than math beliefs when receiving disproportionate praise.

Elucidation of the pluripotent potential of bovine embryonic lineages facilitates the establishment of formative stem cell lines.

The establishment of epiblast-derived pluripotent stem cells (PSCs) from cattle, which are important domestic animals that provide humans with milk and meat while also serving as bioreactors for producing valuable proteins, poses a challenge due to the unclear molecular signaling required for embryonic epiblast development and maintenance of PSC self-renewal. Here, we selected six key stages of bovine embryo development (E5, E6, E7, E10, E12, and E14) to track changes in pluripotency and the dependence on signaling pathways via modified single-cell transcription sequencing technology. The remarkable similarity of the gene expression patterns between cattle and pigs during embryonic lineage development contributed to the successful establishment of bovine epiblast stem cells (bEpiSCs) using 3i/LAF (WNTi, GSK3ßi, SRCi, LIF, Activin A, and FGF2) culture system. The generated bEpiSCs exhibited consistent expression patterns of formative epiblast pluripotency genes and maintained clonal morphology, normal karyotypes, and proliferative capacity for more than 112 passages. Moreover, these cells exhibited high-efficiency teratoma formation as well as the ability to differentiate into various cell lineages. The potential of bEpiSCs for myogenic differentiation, primordial germ cell like cells (PGCLCs) induction, and as donor cells for cell nuclear transfer was also assessed, indicating their promise in advancing cell-cultured meat production, gene editing, and animal breeding.

Protocol for a Series of Systematic Reviews and Network Meta-analyses of Randomized Controlled Trials of Medications for Patients with Overactive Bladder Symptoms.

Multiple randomized controlled trials (RCTs) have examined first-line pharmacological agents such as anticholinergics and ß3 agonists for the management of overactive bladder symptoms (OAB). Although earlier systematic reviews and (network) meta-analyses aimed to summarize the evidence, a substantial number of trials were not included, so a comprehensive and methodologically rigorous evaluation of the comparative effectiveness of all first-line pharmacological treatments is lacking. We aim to conduct a series of systematic reviews and network meta-analyses (NMAs) for a comprehensive assessment of the effectiveness and safety of first-line pharmacological treatments for OAB. Eligible studies will include RCTs comparing anticholinergics and ß3 agonists to one another or to placebo in adults with OAB or detrusor overactivity. Pairs of reviewers with methodological training will independently evaluate candidate studies to determine eligibility and extract relevant data. We will incorporate patient-important outcomes, including urinary urgency episodes, urgency incontinence episodes, any type of incontinence episodes, urinary frequency, nocturia, and adverse events. We will conduct the NMAs using a frequentist framework and a graph theory model for each outcome. Analysis will follow rigorous methodologies, including handling of missing data and assessment of the risk of bias. We will conduct sensitivity and subgroup analyses and will apply the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) approach to rate evidence certainty. Our approach aims to address the knowledge gap in the treatment of OAB by synthesizing evidence from RCTs worldwide. We will employ robust statistical methods, including frequentist NMA, to general clinically relevant and patient-important insights. Sensitivity and subgroup analyses will enhance the robustness and generalizability of our findings. Our reviews strive to inform evidence-based decisions in the management of OAB, to ultimate improve patient outcomes. Our study results may guide health policy decisions, such as reimbursement policies, and future studies in functional urology. The protocol for the review series is registered on PROSPERO as CRD42023266915.

On approximate equality of Z-values of the statistical tests for win statistics (win ratio, win odds, and net benefit).

Dong et al. (2023) showed that the win statistics (win ratio, win odds, and net benefit) can complement each another to demonstrate the strength of treatment effects in randomized trials with prioritized multiple outcomes. This result was built on the connections among the point and variance estimates of the three statistics, and the approximate equality of Z-values in their statistical tests. However, the impact of this approximation was not clear. This Discussion refines this approach and shows that the approximate equality of Z-values for the win statistics holds more generally. Thus, the three win statistics consistently yield closely similar p-values. In addition, our simulations show an example that the naive approach without adjustment for censoring bias may produce a completely opposite conclusion from the true results, whereas the IPCW (inverse-probability-of-censoring weighting) approach can effectively adjust the win statistics to the corresponding true values (i.e. IPCW-adjusted win statistics are unbiased estimators of treatment effect).

Dedicated comparatives aid comparisons of magnitude: a study with Pitjantjatjara-English bilinguals.

When expressing comparisons of magnitude, Pitjantjatjara, a language indigenous to the land now known as Australia, employs contextually driven comparators (e.g., Anyupa is tall. Uma is short) rather than a dedicated morphological or syntactic comparative construction (e.g., Anyupa is taller than Uma). Pitjantjatjara also has a small number of lexicalized numerals, employing 'one', 'two', 'three', then 'many'. It is hypothesized that having dedicated comparatives in language and elaborated number systems aid comparisons of magnitudes. Fluent Pitjantjatjara-English bilinguals participated in tasks assessing their accuracy and reaction times when comparing two types of magnitude: numerosity (quantities of dots), and extent (line lengths). They repeated the comparisons in both languages on different days, allowing for the effect of language being spoken on responses to be assessed. No differences were found for numerosity; however, participants were less accurate when making comparisons of extent using Pitjantjatjara. Accuracy when using Pitjantjatjara decreased as the magnitude of the comparison increased and as differences between the comparators decreased. This result suggests a potential influence of linguistic comparison strategy on comparison behavior.

Analytical Methods for Comparing Uncontrolled Trials With External Controls From Real-World Data: A Systematic Literature Review and Comparison With European Regulatory and Health Technology Assessment Practice.

OBJECTIVES: This study aimed to provide an overview of analytical methods in scientific literature for comparing uncontrolled medicine trials with external controls from individual patient data real-world data (IPD-RWD) and to compare these methods with recommendations made in guidelines from European regulatory and health technology assessment (HTA) organizations and with their evaluations described in assessment reports. METHODS: A systematic literature review (until March 1, 2023) in PubMed and Connected Papers was performed to identify analytical methods for comparing uncontrolled trials with external controls from IPD-RWD. These methods were compared descriptively with methods recommended in method guidelines and encountered in assessment reports of the European Medicines Agency (2015-2020) and 4 European HTA organizations (2015-2023). RESULTS: Thirty-four identified scientific articles described analytical methods for comparing uncontrolled trial data with IPD-RWD-based external controls. The various methods covered controlling for confounding and/or dependent censoring, correction for missing data, and analytical comparative modeling methods. Seven guidelines also focused on research design, RWD quality, and transparency aspects, and 4 of those recommended analytical methods for comparisons with IPD-RWD. The methods discussed in regulatory (n = 15) and HTA (n = 35) assessment reports were often based on aggregate data and lacked transparency owing to the few details provided. CONCLUSIONS: Literature and guidelines suggest a methodological approach to comparing uncontrolled trials with external controls from IPD-RWD similar to target trial emulation, using state-of-the-art methods. External controls supporting regulatory and HTA decision making were rarely in line with this approach. Twelve recommendations are proposed to improve the quality and acceptability of these methods.

Maternal outcomes and pre, syn, and post-partum care in the united states and five high-income countries: An exploratory comparative qualitative study.

Many studies have documented differences in maternal health outcomes across high-income countries, noting higher and growing maternal mortality in the US. However, few studies have detailed the journeys of care that may underlie or influence differences in outcomes. This study explores how maternity care entitlements and experiences vary among the US and five high-income countries, to study variations in child delivery care practices. Health systems with different organizational structure, insurance coverage and with known differences in maternal care delivery and maternal health outcomes were selected. Data was collected using a structured questionnaire, comparison of secondary data, and literature scan. We find that, while prenatal care approaches were broadly similar across all six countries, there were some important differences in maternity care provision among the comparator countries: (1) the US has more fragmented coverage during pregnancy than comparator countries (2) there were differences with regards to the main provider delivering care, the US relied primarily on physician specialists rather than midwives for prenatal care and delivery which was more common in other countries, (3) the intensity of labor and delivery care varied, particularly with regards to rates of epidural use which were highest in the US and France and lowest in Japan, and (4), there was large variation in the use of postnatal home visits to assess health and wellbeing, notably lacking in the US. The US' greater use of specialists and more intensive labor and delivery care may partially explain higher costs of care than in comparator countries. Moreover, US maternal mortality is concentrated in the pre- and postnatal periods and thus may be related to poorer access to prenatal care and the lack of an organized, community-based approach to postnatal care. Given the increase in maternal mortality across countries, policy makers should look across countries to identify promising models of care delivery, and should consider investing in more comprehensive coverage in pre- and postnatal care.

Efficacy and Safety of Somapacitan Relative to Somatrogon and Lonapegsomatropin in Pediatric Growth Hormone Deficiency: Systematic Literature Review and Network Meta-analysis.

INTRODUCTION: Since direct comparisons of long-acting growth hormones (LAGHs) are lacking, analyses were performed to indirectly compare the efficacy and safety of somapacitan versus somatrogon and lonapegsomatropin in children with growth hormone deficiency (GHD). METHODS: A systematic literature review (SLR) identified studies of once-weekly LAGHs for the treatment of pediatric GHD. Indirect comparisons (ICs) using a Bayesian hierarchical network meta-analysis and a random effects model were performed using daily growth hormone (GH) 0.034 mg/kg/day (base case) or 0.024-0.034 mg/kg/day (alternative analyses) as the common comparator to compare height outcomes to 52 weeks [annualized height velocity, height velocity standard deviation score (SDS), and height SDS]. Identified evidence did not allow IC of safety or longer-term efficacy outcomes so these were qualitatively described. RESULTS: The SLR identified two somapacitan trials, three somatrogon trials (one included in alternative analyses only), and one lonapegsomatropin trial comparing the LAGH with daily GH in treatment-naïve pre-pubertal children for IC. ICs revealed no differences at 52 weeks between somapacitan versus somatrogon and lonapegsomatropin, as well as daily GH, with respect to all growth outcomes considered in children with GHD. All three LAGHs had sustained efficacy and were generally well tolerated, with comparable efficacy and safety to daily GH, with the exception of observed injection site pain for somatrogon. CONCLUSION: No efficacy and safety differences were identified in comparisons of once weekly somapacitan versus somatrogon and lonapegsomatropin, as well as daily GH. All treatments were generally well tolerated, with the exception of observed injection site pain for somatrogon.

It is valuable to compare similarly acting treatments to determine their relative benefits and risks. Direct comparisons of long-acting growth hormones (LAGHs) are lacking, so analyses were performed to indirectly compare the efficacy and safety of the LAGH somapacitan versus the LAGHs somatrogon and lonapegsomatropin in children with growth hormone deficiency. Studies of once-weekly LAGHs for the treatment of pediatric growth hormone deficiency were identified using a systematic literature review, then the data obtained were indirectly compared using standard statistical methods with daily growth hormone 0.034 mg/kg/day (base case) or 0.024­0.034 mg/kg/day (alternative analyses) as the common comparator. Height outcomes to 52 weeks (annualized height velocity, height velocity standard deviation score, and height standard deviation score) were compared between treatments. Sufficient information to allow indirect comparison of safety or longer-term efficacy outcomes were not found so these were qualitatively described. The systematic literature review identified two somapacitan trials, three somatrogon trials (one included in alternative analyses only) and one lonapegsomatropin trial comparing the LAGH with daily growth hormone in previously untreated pre-pubertal children for inclusion in the indirect comparison. Indirect comparisons identified no differences to 52 weeks between somapacitan versus somatrogon and lonapegsomatropin, as well as daily growth hormone, with respect to all growth outcomes considered in children with growth hormone deficiency. All three LAGHs had sustained efficacy and were generally well tolerated, with comparable efficacy and safety to daily growth hormone, with the possible exception of injection site pain with somatrogon.

Socioeconomic inequalities in frailty distribution: A cross-national comparison of the United States and England.

OBJECTIVES: To examine differences in socioeconomic gradients (i.e., education, income, and wealth) in frailty by gender in the US and England. METHODS: We used harmonized data from the Health and Retirement Study (HRS) and the English Longitudinal Study of Ageing (ELSA) in 2016. Frailty status was determined from measured and self-reported signs and symptoms in five domains: unintentional weight loss, exhaustion, low physical activity, slow walking speed, and weakness. Respondents were classified as robust (no signs or symptoms of frailty), pre-frail (signs or symptoms in 1-2 domains), or frail (signs or symptoms in 3 or more domains). Gender-stratified multinomial logistic regression models were used to assess the relationship between educational attainment, household income, and household wealth with the risk of frailty and pre-frailty, with and without covariates. We also calculated the slope index of inequalities on the predicted probabilities of frailty by income and wealth quintiles. RESULTS: We found socioeconomic gradients in pre-frailty and frailty by education, income, and wealth. Furthermore, the educational gradient in frailty was significantly steeper for US women compared to English women, and the income gradient was steeper for US men and women compared to English men and women. The between-country differences were not accounted for by adjusting for race/ethnicity and behavioral factors. DISCUSSION: Socioeconomic gradients in pre-frailty and frailty differ by country setting and gender, suggesting contextual factors such as cultural norms, healthcare access and quality, and economic policy may contribute to the effect of different measures of socioeconomic status on pre-frailty and frailty risk.

Numerical comparisons of exponential expressions: The saliency of the base component.

Exponential expressions represent series that grow at a fast pace such as carbon pollution and the spread of disease. Despite their importance, people tend to struggle with these expressions. In two experiments, participants chose the larger of two exponential expressions as quickly and accurately as possible. We manipulated the distance between the base/power components and their compatibility. In base-power compatible pairs, both the base and power of one expression were larger than the other (e.g., 23 vs. 34), while in base-power incompatible pairs, the base of one expression was larger than the base in the other expression but the relation between the power components of the two expressions was reversed (e.g., 32 vs. 24). Moreover, while in the first experiment the larger power always led to the larger result, in the second experiment we introduced base-result congruent pairs as well. Namely, the larger base led to the larger result. Our results showed a base-power compatibility effect, which was also larger for larger power distances (Experiments 1-2). Furthermore, participants processed the base-result congruent pairs faster and more accurately than the power-result congruent pairs (Experiment 2). These findings suggest that while both the base and power components are processed when comparing exponential expressions, the base is more salient. This exemplifies an incorrect processing of the syntax of exponential expressions, where the power typically has a larger mathematical contribution to the result of the expression.

Improving the evidential value of low-quality face images with aggregation of deep neural network embeddings.

In forensic facial comparison, questioned-source images are usually captured in uncontrolled environments, with non-uniform lighting, and from non-cooperative subjects. The poor quality of such material usually compromises their value as evidence in legal proceedings. On the other hand, in forensic casework, multiple images of the person of interest are usually available. In this paper, we propose to aggregate deep neural network embeddings from various images of the same person to improve the performance in forensic comparison of facial images. We observe significant performance improvements, especially for low-quality images. Further improvements are obtained by aggregating embeddings of more images and by applying quality-weighted aggregation. We demonstrate the benefits of this approach in forensic evaluation settings with the development and validation of common-source likelihood ratio systems and report improvements in Cllr both for CCTV images and for social media images.

Bridged Treatment Comparisons: an Illustrative Application in HIV Treatment.

Comparisons of treatments, interventions, or exposures are of central interest in epidemiology, but direct comparisons are not always possible due to practical or ethical reasons. Here, we detail a fusion approach to compare treatments across studies. The motivating example entails comparing the risk of the composite outcome of death, AIDS, or greater than a 50% CD4 cell count decline in people with HIV when assigned triple versus mono antiretroviral therapy, using data from the AIDS Clinical Trial Group (ACTG) 175 (mono versus dual therapy) and ACTG 320 (dual versus triple therapy). We review a set of identification assumptions and estimate the risk difference using an inverse probability weighting estimator that leverages the shared trial arms (dual therapy). A fusion diagnostic based on comparing the shared arms is proposed that may indicate violation of the identification assumptions. Application of the data fusion estimator and diagnostic to the ACTG trials indicates triple therapy results in a reduction in risk compared to monotherapy in individuals with baseline CD4 counts between 50 and 300 cells/mm3. Bridged treatment comparisons address questions that none of the constituent data sources could address alone, but valid fusion-based inference requires careful consideration of the underlying assumptions.

Understanding Network Meta-Analysis: A Practical Introduction for Nurses.

AIMS: This paper examines network meta-analysis (NMA) as a methodological advancement in nursing research and discusses considerations for interpreting and applying NMA results in clinical practice. DESIGN AND METHODS: Methodological discussion. RESULTS: The NMA method simultaneously evaluates multiple interventions by combining direct and indirect evidence. The publication of NMA articles in nursing journals has been increasing. However, interpreting NMA results can be complex and challenging. In this paper, we outline the prerequisites and assumptions of NMA, provide a graphical representation, discuss effect estimation and quality of evidence and give an overview of applying NMA results in clinical practice. CONCLUSION: NMA is a valuable analytical approach in nursing research that can provide high-level evidence to guide clinical decision-making. Accurate interpretation of NMA findings is necessary to inform clinical practice. This paper serves as an introduction to NMA for nurses unfamiliar with the approach. IMPLICATIONS FOR THE PROFESSION: NMA is a powerful statistical technique for assessing the relative effectiveness of different nursing interventions and informing evidence-based nursing guidelines. When interpreting the results, nurses should consider the certainty of evidence and the practical value of the results and be cautious of misleading conclusions. IMPACT: NMA is a recent analytical method in nursing research. This practical introduction seeks to enhance comprehension of NMA and the interpretation and application of NMA findings in clinical practice. NMA is a robust statistical technique to assess the relative effectiveness of various nursing interventions. REPORTING METHOD: In the methodological discussion guide, no new data was generated. A hypothetical dataset was used. PATIENT OR PUBLIC CONTRIBUTION: This methodological paper contributes to understanding NMA and interpreting its results, integrating it into clinical practice, and improving patient outcomes.

Cutting edge document examination: The physical fit of machine-cut edges of paper.

This technical note describes in detail a method for associating individual sheets of blank A4 white paper from the same ream by the physical fit of machine-cut edges. A large-scale laboratory trial involving ~700 sheets of paper from 24 different reams (plus one spoiled sample), and more than 20,000 potential physical fits, correctly associated and sequenced 219 pairs of sheets together with a 100% empirical success rate and no false associations. The edge profile of each short machine-cut end of a sheet of A4 paper allows us to physically fit sheets of paper from the same ream to each other and use this to predict the sequence of sheets in a set of documents. In a real-life scenario, it may now be possible to detect the substitution or addition of a sheet in a multipage document, link documents from different sources to each other or to a common source of paper (e.g. to paper from a seized printer or from an accused's address) or to date documents. The study provides data for the application of this method in forensic casework and supports the practitioner when forming conclusions in this type of case.

Global access and quality of conservative kidney management.

BACKGROUND: Conservative kidney management (CKM) describes supportive care for people living with kidney failure who choose not to receive or are unable to access kidney replacement therapy (KRT). This study captured the global availability of CKM services and funding. METHODS: Data came from the International Society of Nephrology Global Kidney Health survey conducted between June and September 2022. Availability of CKM, infrastructure, guidelines, medications and training were evaluated. RESULTS: CKM was available in some form in 61% of the 165 responding countries. CKM chosen through shared decision-making was available in 53%. Choice-restricted CKM-for those unable to access KRT-was available in 39%. Infrastructure to provide CKM chosen through shared decision-making was associated with national income level, reported as being "generally available" in most healthcare settings for 71% of high-income countries, 50% of upper-middle-income countries, 33% of lower-middle-income countries and 42% of low-income countries. For choice-restricted CKM, these figures were 29%, 50%, 67% and 58%, respectively. Essential medications for pain and palliative care were available in just over half of the countries, highly dependent upon income setting. Training for caregivers in symptom management in CKM was available in approximately a third of countries. CONCLUSIONS: Most countries report some capacity for CKM. However, there is considerable variability in terms of how CKM is defined, as well as what and how much care is provided. Poor access to CKM perpetuates unmet palliative care needs, and must be addressed, particularly in low-resource settings where death from untreated kidney failure is common.

Risk of Clostridioides difficile infection following different antibiotics: insights from multi-source medical data.

OBJECTIVE: Antibiotic utilization stands as the strongest modifiable determinant for Clostridioides difficile infection (CDI). However, previous studies have relied on aggregated antibiotic categories, leaving prescribers without detailed comparative risk information for individual antibiotics. The objective of this study was to estimate the risk of CDI comprehensively across specific antibiotics. METHODS: Two methodologies were integrated to access and rank the risk of CDI associated with individual antibiotics or classes. Initially, a network comparison was conducted by analysing data from randomized controlled trials (RCTs). Subsequently, a real-world disproportionality analysis using the Food and Drug Adverse Event Reporting System (FAERS) database complemented and enriched the findings from RCTs. RESULTS: The network comparison, encompassing 61 RCTs with 25,931 patients, revealed that exposure to cefepime [odds ratio (OR) 2.56, 95% confidence interval (CI) 1.20-5.44; P=0.02] and imipenem/cilastatin (OR 3.86, 95% CI 1.61-9.29; P=0.003) exhibited higher frequencies of CDI compared with piperacillin/tazobactam. No significant differences were observed between the carbapenems, albeit a trend indicating higher incidence of CDI with imipenem/cilastatin compared with meropenem (OR 3.89, 95% CI 0.94-16.09). In the FAERS disproportionality analysis, nearly all antibiotics displayed associations with CDI, and CDI risk signals often clustered within the majority of antibiotic classes. Among these, lincomycin demonstrated the strongest association (OR 112.17, 95% CI 51.68-243.43). Additionally, oral third-generation cephalosporins tended to exhibit higher CDI risk signals than other antibiotics. CONCLUSIONS: The findings unveiled substantial diversity in the risk of CDI, both within and between antibiotic classes, providing valuable guidance for clinicians in antibiotic prescription decisions and for initiatives aimed at antibiotic stewardship.

Children Sustain Cooperation in a Threshold Public-Goods Game Even When Seeing Others' Outcomes.

Many societal challenges are threshold dilemmas requiring people to cooperate to reach a threshold before group benefits can be reaped. Yet receiving feedback about others' outcomes relative to one's own (relative feedback) can undermine cooperation by focusing group members' attention on outperforming each other. We investigated the impact of relative feedback compared to individual feedback (only seeing one's own outcome) on cooperation in children from Germany and India (6- to 10-year-olds, N = 240). Using a threshold public-goods game with real water as a resource, we show that, although feedback had an effect, most groups sustained cooperation at high levels in both feedback conditions until the end of the game. Analyses of children's communication (14,374 codable utterances) revealed more references to social comparisons and more verbal efforts to coordinate in the relative-feedback condition. Thresholds can mitigate the most adverse effects of social comparisons by focusing attention on a common goal.

Decoding the connection between lncRNA and obesity: Perspective from humans and Drosophila.

Background: Obesity is a burgeoning global health problem with an escalating prevalence and severe implications for public health. New evidence indicates that long non-coding RNAs (lncRNAs) may play a pivotal role in regulating adipose tissue function and energy homeostasis across various species. However, the molecular mechanisms underlying obesity remain elusive. Scope of review: This review discusses obesity and fat metabolism in general, highlighting the emerging importance of lncRNAs in modulating adipogenesis. It describes the regulatory networks, latest tools, techniques, and approaches to enhance our understanding of obesity and its lncRNA-mediated epigenetic regulation in humans and Drosophila. Major conclusions: This review analyses large datasets of human and Drosophila lncRNAs from published databases and literature with experimental evidence supporting lncRNAs role in fat metabolism. It concludes that lncRNAs play a crucial role in obesity-related metabolism. Cross-species comparisons highlight the relevance of Drosophila findings to human obesity, emphasizing their potential role in adipose tissue biology. Furthermore, it discusses how recent technological advancements and multi-omics data integration enhance our capacity to characterize lncRNAs and their function. Additionally, this review briefly touches upon innovative methodologies like experimental evolution and advanced sequencing technologies for identifying novel genes and lncRNA regulators in Drosophila, which can potentially contribute to obesity research.

Measurement Invariance Testing Works.

Psychometricians have argued that measurement invariance (MI) testing is needed to know if the same psychological constructs are measured in different groups. Data from five experiments allowed that position to be tested. In the first, participants answered questionnaires on belief in free will and either the meaning of life or the meaning of a nonsense concept called "gavagai." Since the meaning of life and the meaning of gavagai conceptually differ, MI should have been violated when groups were treated like their measurements were identical. MI was severely violated, indicating the questionnaires were interpreted differently. In the second and third experiments, participants were randomized to watch treatment videos explaining figural matrices rules or task-irrelevant control videos. Participants then took intelligence and figural matrices tests. The intervention worked and the experimental group had an additional influence on figural matrix performance in the form of knowing matrix rules, so their performance on the matrices tests violated MI and was anomalously high for their intelligence levels. In both experiments, MI was severely violated. In the fourth and fifth experiments, individuals were exposed to growth mindset interventions that a twin study revealed changed the amount of genetic variance in the target mindset measure without affecting other variables. When comparing treatment and control groups, MI was attainable before but not after treatment. Moreover, the control group showed longitudinal invariance, but the same was untrue for the treatment group. MI testing is likely able to show if the same things are measured in different groups.

Random effects during training: Implications for deep learning-based medical image segmentation.

BACKGROUND: A single learning algorithm can produce deep learning-based image segmentation models that vary in performance purely due to random effects during training. This study assessed the effect of these random performance fluctuations on the reliability of standard methods of comparing segmentation models. METHODS: The influence of random effects during training was assessed by running a single learning algorithm (nnU-Net) with 50 different random seeds for three multiclass 3D medical image segmentation problems, including brain tumour, hippocampus, and cardiac segmentation. Recent literature was sampled to find the most common methods for estimating and comparing the performance of deep learning segmentation models. Based on this, segmentation performance was assessed using both hold-out validation and 5-fold cross-validation and the statistical significance of performance differences was measured using the Paired t-test and the Wilcoxon signed rank test on Dice scores. RESULTS: For the different segmentation problems, the seed producing the highest mean Dice score statistically significantly outperformed between 0 % and 76 % of the remaining seeds when estimating performance using hold-out validation, and between 10 % and 38 % when estimating performance using 5-fold cross-validation. CONCLUSION: Random effects during training can cause high rates of statistically-significant performance differences between segmentation models from the same learning algorithm. Whilst statistical testing is widely used in contemporary literature, our results indicate that a statistically-significant difference in segmentation performance is a weak and unreliable indicator of a true performance difference between two learning algorithms.