Artificial intelligence-based conversational agents used for sustainable fashion: systematic literature review.

In the past five years, the textile industry has undergone significant transformations in response to evolving fashion trends and increased consumer garment turnover. To address the environmental impacts of fast fashion, the industry is embracing artificial intelligence (AI) and immersive technologies, particularly leveraging conversational agents as personalised guides for sustainable fashion practices. In this research paper, we conduct a systematic literature review to categorise techniques, platforms, and applications of conversational agents in promoting sustainability within the fashion industry. Additionally, the review aims to scrutinise the solutions offered, identify gaps in the existing literature, and provide insights into the effectiveness and limitations of these conversational agents. Utilising a predefined search strategy on IEEE Xplore, Google Scholar, SCOPUS, and Web of Science, 15 relevant articles were selected through a step-by-step procedure based on the guidelines of the PRISMA framework. The findings reveal a notable global interest in AI-powered conversational agents, with Italy emerging as a significant centre for research in this domain. The studies predominantly focus on consumer perceptions and intentions regarding the adoption of AI technologies, indicating a broader curiosity about how individuals incorporate such innovations into their daily lives. Moreover, a substantial proportion of the studies employs diverse methods, reflecting a comprehensive approach to understanding the functionality and performance of conversational agents in various contexts. While acknowledging the historical precedence of text-based agents, the review highlights a research gap related to embodied agents. The conclusion emphasises the need for continued exploration, particularly in understanding the broader impact of these technologies on creating sustainable and environmentally-friendly business models in the e-retail sector

Classification and sensitivity of taxonomic and functional diversity indices of anurans in the Andean coffee cultural landscape

Taxonomical and functional facets of diversity are crucial to imderstanding the effects of landscape transformaron on species assemblages, although there is a lack of consensus on the degree of congruence between diversity’ indices across land-uses. We evaluated the effect of natural and anthropogenic land cover types on anurans in the Andean región of Colombia. Changes between land cover types were detected but no effect of dimatic season on the structure of anuran assemblages. Species with larger body sizes showed a greater affínity for anthropogenic land cover types. We analyzed the functional facet of diversity- (based on diet and morpho-logical traits) and discovered that the degree of congruence with taxonomic diversity metrics changed when comparing different land cover types. We evidenced a strong effect of the type of vegetation cover on the Hill numbers (from zero to third orders) for functional diversity’ but not for the other taxonomic diversity indices. Of all the diversity metrics evaluated, we found that Rao’s quadratic entropy, functional dispersión, and average functional diversity were the most sensitive indices to land-use change. Surprisingly, the surrounding of houses, the land cover type with the greater degree of anthropogenic intervention had the higher valúes of functional diversity, suggesting broader types of species resource acquisition. These results suggest the importance of landscape mosaics in the conservation of different facets of anuran diversity. We also emphasize the importance of measuring anuran functional traits to understand more comprehensively the effects of landscape trans-formation at the assemblage level and to appropriately direct conservation and management actions.N/

Prevalence of Sodium Glucose Cotransporter 2 (SGLT-2) Inhibitor Prescribing in Patients with Type 2 Diabetes Mellitus and Reduced Estimated Glomerular Filtration Rate

Sodium glucose cotransporter 2 (SGLT-2) inhibitors have demonstrated benefit in people with type 2 diabetes mellitus (T2DM) and chronic kidney disease (CKD), including slowing the progression of CKD and lowering the risk of kidney failure and death. Despite this evidence, literature suggests SGLT-2 inhibitors are underutilized in this population. To assess prescribing practices and identify potential variables predictive of SGLT-2 inhibitor prescribing, a non-interventional, retrospective, cross-sectional study was conducted in patients with T2DM and reduced estimated glomerular filtration rate (eGFR). The primary outcome compared prevalence of SGLT-2 inhibitor prescribing in patients with T2DM and eGFR of 30-44 mL/min/1.73m2 to patients with T2DM and eGFR 45-59 mL/min/1.73m2. The secondary outcome described possible predictors of prescribing SGLT-2 inhibitors in this population. Of the 9,387 patients identified with T2DM and reduced eGFR, an SGLT-2 inhibitor was prescribed to 324 (12.2%) patients with eGFR of 30-44 mL/min/1.73m2 versus 799 (11.9%) patients with eGFR of 45-59 mL/min/1.73m2. Patients more likely to be prescribed SGLT-2 inhibitors were younger, male, had a higher body mass index (BMI), a higher hemoglobin A1c (HbA1c), were on other antihyperglycemic medications, had concomitant cardiovascular disease, or had concomitant heart failure. This study found no significant difference in prevalence of SGLT-2 inhibitor prescribing between patients with T2DM and eGFR 30-44 mL/min/1.73m2 versus eGFR 45-59 mL/min/1.73m2 (p=0.70). Further exploration into the causes of low SGLT-2 inhibitor prescribing prevalence is warranted given the growing evidence supporting the use of these agents in patients with T2DM and reduced renal function

Occupational exposure to gases/fumes and mineral dust affect DNA methylation levels of genes regulating expression

Many workers are daily exposed to occupational agents like gases/fumes, mineral dust or biological dust, which could induce adverse health effects. Epigenetic mechanisms, such as DNA methylation, have been suggested to play a role. We therefore aimed to identify differentially methylated regions (DMRs) upon occupational exposures in never-smokers and investigated if these DMRs associated with gene expression levels. To determine the effects of occupational exposures independent of smoking, 903 never-smokers of the LifeLines cohort study were included. We performed three genome-wide methylation analyses (Illumina 450 K), one per occupational exposure being gases/fumes, mineral dust and biological dust, using robust linear regression adjusted for appropriate confounders. DMRs were identified using comb-p in Python. Results were validated in the Rotterdam Study (233 never-smokers) and methylation-expression associations were assessed using Biobank-based Integrative Omics Study data (n = 2802). Of the total 21 significant DMRs, 14 DMRs were associated with gases/fumes and 7 with mineral dust. Three of these DMRs were associated with both exposures (RPLP1 and LINC02169 (2x)) and 11 DMRs were located within transcript start sites of gene expression regulating genes. We replicated two DMRs with gases/fumes (VTRNA2-1 and GNAS) and one with mineral dust (CCDC144NL). In addition, nine gases/fumes DMRs and six mineral dust DMRs significantly associated with gene expression levels. Our data suggest that occupational exposures may induce differential methylation of gene expression regulating genes and thereby may induce adverse health effects. Given the millions of workers that are exposed daily to occupational exposures, further studies on this epigenetic mechanism and health outcomes are warranted

BRCA2 polymorphic stop codon K3326X and the risk of breast, prostate, and ovarian cancers

Background: The K3326X variant in BRCA2 (BRCA2*c.9976A>T; p.Lys3326*; rs11571833) has been found to be associated with small increased risks of breast cancer. However, it is not clear to what extent linkage disequilibrium with fully pathogenic mutations might account for this association. There is scant information about the effect of K3326X in other hormone-related cancers. Methods: Using weighted logistic regression, we analyzed data from the large iCOGS study including 76 637 cancer case patients and 83 796 control patients to estimate odds ratios (ORw) and 95% confidence intervals (CIs) for K3326X variant carriers in relation to breast, ovarian, and prostate cancer risks, with weights defined as probability of not having a pathogenic BRCA2 variant. Using Cox proportional hazards modeling, we also examined the associations of K3326X with breast and ovarian cancer risks among 7183 BRCA1 variant carriers. All statistical tests were two-sided. Results: The K3326X variant was associated with breast (ORw = 1.28, 95% CI = 1.17 to 1.40, P = 5.9x10- 6) and invasive ovarian cancer (ORw = 1.26, 95% CI = 1.10 to 1.43, P = 3.8x10-3). These associations were stronger for serous ovarian cancer and for estrogen receptor–negative breast cancer (ORw = 1.46, 95% CI = 1.2 to 1.70, P = 3.4x10-5 and ORw = 1.50, 95% CI = 1.28 to 1.76, P = 4.1x10-5, respectively). For BRCA1 mutation carriers, there was a statistically significant inverse association of the K3326X variant with risk of ovarian cancer (HR = 0.43, 95% CI = 0.22 to 0.84, P = .013) but no association with breast cancer. No association with prostate cancer was observed. Conclusions: Our study provides evidence that the K3326X variant is associated with risk of developing breast and ovarian cancers independent of other pathogenic variants in BRCA2. Further studies are needed to determine the biological mechanism of action responsible for these associations

Evaluation of polygenic risk scores for breast and ovarian cancer risk prediction in BRCA1 and BRCA2 mutation carriers

Background: Genome-wide association studies (GWAS) have identified 94 common single-nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk and 18 associated with ovarian cancer (OC) risk. Several of these are also associated with risk of BC or OC for women who carry a pathogenic mutation in the high-risk BC and OC genes BRCA1 or BRCA2. The combined effects of these variants on BC or OC risk for BRCA1 and BRCA2 mutation carriers have not yet been assessed while their clinical management could benefit from improved personalized risk estimates. Methods: We constructed polygenic risk scores (PRS) using BC and OC susceptibility SNPs identified through population-based GWAS: for BC (overall, estrogen receptor [ER]-positive, and ER-negative) and for OC. Using data from 15 252 female BRCA1 and 8211 BRCA2 carriers, the association of each PRS with BC or OC risk was evaluated using a weighted cohort approach, with time to diagnosis as the outcome and estimation of the hazard ratios (HRs) per standard deviation increase in the PRS. Results: The PRS for ER-negative BC displayed the strongest association with BC risk in BRCA1 carriers (HR = 1.27, 95% confidence interval [CI] = 1.23 to 1.31, P = 8.2 x 10(53)). In BRCA2 carriers, the strongest association with BC risk was seen for the overall BC PRS (HR = 1.22, 95% CI = 1.17 to 1.28, P = 7.2 x 10(-20)). The OC PRS was strongly associated with OC risk for both BRCA1 and BRCA2 carriers. These translate to differences in absolute risks (more than 10% in each case) between the top and bottom deciles of the PRS distribution; for example, the OC risk was 6% by age 80 years for BRCA2 carriers at the 10th percentile of the OC PRS compared with 19% risk for those at the 90th percentile of PRS. Conclusions: BC and OC PRS are predictive of cancer risk in BRCA1 and BRCA2 carriers. Incorporation of the PRS into risk prediction models has promise to better inform decisions on cancer risk management