Association between the Worst Pattern of Tumor Invasion and Epithelial-mesenchymal Transition and their Prognostic Impact on Early-stage Oral Tongue Squamous Cell Carcinoma.

Purpose: We aimed to determine the association between the worst pattern of tumor invasion (WPOI) and epithelial-mesenchymal transition (EMT) in early-stage oral tongue squamous cell carcinoma (OTSCC) with no adverse features and their impact on 2-year disease-free survival (DFS) and overall survival (OS) rates. Methods: This prospective observational study included treatment-naive 50 patients who underwent primary surgery for OTSCC (pT1T2N0M0; AJCC 8th edition, with no adverse features) from June 1, 2020, to March 31, 2021 (minimum follow-up period, 2 years). WPOI (low- or high-invasive) and EMT (E-cadherin, N-cadherin, and vimentin expression at the tumor invasive front) were assessed. Results: High invasive WPOI was seen in 66% and low invasive in 34%. 80% of the patients had EMT. No statistically significant association was found between WPOI and EMT. The OS and DFS at 2 years were 90% and 80% respectively. WPOI had statistically significant impact on 2-year DFS (100% for low & 69.7% for high, p-value 0.014). EMT did not significantly affect DFS or OS rates. Conclusions: In early stage OTSCC with no adverse features, WPOI can be a promising predictor for disease recurrence. However, this should be validated for modifying treatment guidelines.

Gender preferences for multiple attributes of soil and water conservation in Northern Rwanda.

Despite the dominance of female labor in agricultural production, female-controlled farm plots have lower efficiency compared to plot managed by male-headed households, which indicates a huge gender disparity in agricultural productivity. Overlooking gender preferences when designing interventions that promote the conservation of soil and water resources might face challenges in adoption and could result in ineffective policies to close the gender gap. This study seeks to analyze gender-specific preferences regarding attributes of soil and water conservation (SWC) in northern Rwanda. A best-worst survey was conducted among 653 respondents, comprising 253 males and 400 females, representing 422 households surveyed between September and December 2019. The analysis of BWS data involved assessing attribute-level relative importance, Pearson correlation, and maximum difference scaling using multinomial logit (MNL). Findings from attribute-level importance analysis revealed significant gender-based disparities in preferences across three important SWC attribute scenarios: the high scenario (between 65 % and 100 %), the moderate scenario (between 50 % and 65 %), and the basic scenario (with <50 % relative importance). The study identified heterogeneity in preferences regarding the relative importance of SWC attribute levels. Pearson correlation analysis revealed substantial synergies among attribute levels linked to land consolidation, improved land tenure, and joint SWC decision-making between genders. Additionally, the study identified trade-offs among multiple levels of SWC attributes, including households' SWC decision-making and physical and structural measures. The results from MNL regression show that both males and females exhibit positive preferences for multiple levels of SWC attributes, but show negative preferences when it comes to household decisions involving multiple SWC strategies. The study highlights the importance of equal opportunities for males and females' participation in agricultural transformation through the adoption of SWC technologies as a fundamental step towards sustainable agricultural intensification. It advocates for gender transformational approaches to incentivize the scaling up of SWC practices and promote packages with lower uptake rates. Additionally, the study suggests enhancing knowledge and extension education in SWC to better understand diverse needs and preferences of female farmers.

Comparing the Self-Reported Acceptability of Discrete Choice Experiment and Best-Worst Scaling: An Empirical Study in Patients with Type 2 Diabetes Mellitus.

Purpose: Discrete choice experiment (DCE) and profile case (case 2) best-worst scaling (BWS) present uncertainties regarding the acceptability of quantifying individual healthcare preferences, which may adversely affect the validity of responses and impede the reflection of true healthcare preferences. This study aimed to assess the acceptability of these two methods from the perspective of patients with type 2 diabetes mellitus (T2DM) and examine their association with specific characteristics of the target population. Patients and Methods: This cross-sectional study was based on a nationally representative survey; data were collected using a multistage stratified cluster-sampling procedure between September 2021 and January 2022. Eligible adults with confirmed T2DM voluntarily participated in this study. Participants completed both the DCE and case 2 BWS (BWS-2) choice tasks in random order and provided self-reported assessments of acceptability, including task completion difficulty, comprehension of task complexity, and response preference. Logistic regression and random forest models were used to identify variables associated with acceptability. Results: In total, 3286 patients with T2DM were included in the study. Respondents indicated there was no statistically significant difference in completion difficulty between the DCE and BWS-2, although the DCE scores were slightly higher (3.07 ± 0.68 vs 3.03 ± 0.67, P = 0.06). However, 1979 (60.2%) respondents found the DCE easier to comprehend. No significant preferences were observed between the two methods (1638 (49.8%) vs 1648 (50.2%)). Sociodemographic factors, such as residence, monthly out-of-pocket costs, and illness duration were significantly associated with comprehension complexity and response preference. Conclusion: This study yielded contrasting results to most of previous studies, suggesting that DCE may be less cognitively demanding and more suitable for patients with T2DM from the perspective of self-reported acceptability of DCE and BWS. This study promotes a focus on patient acceptability in quantifying individual healthcare preferences to inform tailored optimal stated-preference method for a target population.

Stated preference methodologies such as the discrete choice experiment (DCE) and case 2 best-worst scaling (BWS-2) are gaining popularity as methods for quantifying individual preferences in healthcare. However, the acceptability of the two methods to participants must be considered in practice to reduce cognitive burden and ensure the validity of preference elicitation.DCE was perceived to be less cognitively burdensome than BWS-2. In contrast to patients who thought that DCE was more acceptable, BWS-2 was more accepted by rural patients, patients who lived with the disease for a longer period, and those who had lower monthly out-of-pocket costs.These findings demonstrate potential differences in the acceptability of DCE and BWS-2 for patients with type 2 diabetes mellitus. To improve efficiency, it would be useful for researchers to consider the optimal stated preference method for identifying target populations according to sociodemographic and disease-related characteristics.

Eliciting diverse perspectives to prioritize community actions for biodiversity conservation.

Communities have a strong role in protecting biodiversity. In addition to participation in restoration, a range of actions in the public or private sphere may support biodiversity. Despite this, there is a lack of clarity about what actions should be prioritized for behavior change campaigns. We developed and applied a method to prioritize community actions for biodiversity conservation that incorporates an expert-based assessment of impact and a community-informed measure of the likelihood of uptake. In stage 1, experts (n = 143) completed a survey that quantified the relative impact of actions based on best-worst scaling of perceived impact. In stage 2, surveyed community members (n = 3200) ranked the likelihood of adopting actions based on the ease or difficulty of performing each action, and the opportunity for change based on the proportion of respondents not yet engaging in each behavior. Experts gave the following actions the highest ranking for impact: voting for the environment (first), participating in restoration in ecological priority areas (second), and purchasing and protecting remnant bushland (third). When considering the disciplinary background and institutional background of experts, voting and participating in restoration activities remained in the upper ranked options. However, there was some divergence between these groups. For example, reducing beef consumption was ranked third by university-based experts but ranked 28th by experts based in state government. Overall, community members ranked the following behaviors as most likely to be adopted: following quarantine laws (first), reducing plastic use (second), and managing pets (third). Top likelihood ranking of actions was minimally affected by community characteristics (nature relatedness, gender, location). Integrating these findings, the action ranked most favorably for impact, likelihood, and opportunity was participating in restoration. Choosing actions for behavior change campaigns requires consideration of the entire social-ecological system-from social factors that enable or constrain adoption to the ecological impact of actions across relevant social and ecological contexts.

Inducción de perspectivas diversas para priorizar las acciones comunitarias a favor de la conservación de la biodiversidad Las comunidades juegan un papel importante en la protección de la biodiversidad. Además de participar en la restauración, existe una gama de acciones públicas y privadas que pueden ayudar a la biodiversidad. A pesar de esto, no está claro cuáles acciones deben priorizarse en las campañas de cambio conductual. Desarrollamos y aplicamos un método para priorizar las acciones comunitarias a favor de la conservación de la biodiversidad que incorpora la evaluación por experto del impacto y la medida comunitaria de la probabilidad de captación. En la fase 1, los expertos (n = 143) completaron una encuesta que cuantificó el impacto relativo de las acciones con base en una escala mejor­peor del impacto percibido. En la fase 2, los miembros de la comunidad (n = 3200) clasificaron la probabilidad del éxito de las acciones con base en la proporción de respondientes que todavía no participan en cada comportamiento. Los expertos otorgaron la clasificación más alta para el impacto a las siguientes acciones: votar por el ambiente (primero), participar en la restauración de áreas ecológicas prioritarias (segundo) y adquirir y proteger matorrales remanentes (tercero). Cuando consideramos la formación disciplinaria e institucional de los expertos, la votación y la participación en las actividades de restauración permanecieron en las opciones con clasificación más alta; sin embargo, existió una divergencia entre estos grupos. Por ejemplo, los expertos de las universidades clasificaron en tercero la reducción del consumo de carne de res, pero los expertos del gobierno estatal lo clasificaron en vigésimo octavo. En general, los miembros de la comunidad clasificaron los siguientes comportamientos como los más probables de ser adoptados: seguir las normas de cuarentena (primero), reducir el uso de plásticos (segundo) y el manejo de mascotas (tercero). Las características comunitarias (relación con la naturaleza, género, ubicación) afectaron en lo mínimo a la clasificación más alta de probabilidad de las acciones. Al integrar estos resultados, la acción mejor clasificada en cuanto a impacto, probabilidad y oportunidad fue la participación en la restauración. La selección de acciones para las campañas de cambio conductual requiere que se considere todo el sistema socio ecológico ­ desde los factores sociales que permiten o restringen la conservación hasta las acciones de impacto ecológico relevantes en los contextos sociales y ecológicos.

Nonparametric worst-case bounds for publication bias on the summary receiver operating characteristic curve.

The summary receiver operating characteristic (SROC) curve has been recommended as one important meta-analytical summary to represent the accuracy of a diagnostic test in the presence of heterogeneous cutoff values. However, selective publication of diagnostic studies for meta-analysis can induce publication bias (PB) on the estimate of the SROC curve. Several sensitivity analysis methods have been developed to quantify PB on the SROC curve, and all these methods utilize parametric selection functions to model the selective publication mechanism. The main contribution of this article is to propose a new sensitivity analysis approach that derives the worst-case bounds for the SROC curve by adopting nonparametric selection functions under minimal assumptions. The estimation procedures of the worst-case bounds use the Monte Carlo method to approximate the bias on the SROC curves along with the corresponding area under the curves, and then the maximum and minimum values of PB under a range of marginal selection probabilities are optimized by nonlinear programming. We apply the proposed method to real-world meta-analyses to show that the worst-case bounds of the SROC curves can provide useful insights for discussing the robustness of meta-analytical findings on diagnostic test accuracy.

Using best-worst scaling to inform policy decisions in Africa: a literature review.

BACKGROUND: Stakeholder engagement in policy decision-making is critical to inform required trade-offs, especially in low-and-middle income settings, such as many African countries. Discrete-choice experiments are now commonly used to engage stakeholders in policy decisions, but other methods such as best-worst scaling (BWS), a theory-driven prioritization technique, could be equally important. We sought to document and explore applications of BWS to assess stakeholder priorities in the African context to bring attention to BWS as a method and to assess how and why it is being used to inform policy. METHODS: We conducted a literature review of published applications of BWS for prioritization in Africa. RESULTS: Our study identified 35 studies, with the majority published in the past four years. BWS has most commonly been used in agriculture (43%) and health (34%), although its broad applicability is demonstrated through use in fields influencing social and economic determinants of health, including business, environment, and transportation. Published studies from eastern, western, southern, and northern Africa include a broad range of sample sizes, design choices, and analytical approaches. Most studies are of high quality and high policy relevance. Several studies cited benefits of using BWS, with many of those citing potential limitations rather than observed limitations in their study. CONCLUSIONS: Growing use of the method across the African continent demonstrates its feasibility and utility, recommending it for consideration among researchers, program implementers, policy makers, and funders when conducting preference research to influence policy and improve health systems. REGISTRATION: The review was registered on PROSPERO (CRD42020209745).

Case study: The downside of using a worst-case approach in occupational safety policy as an interpretation of the precautionary principle: Putting the uncertain UXO occupational safety risk into probabilistic perspective.

Unexploded ordnance (UXO) from the World Wars on the North Sea floor pose an uncertain occupational safety risk for dredging and cable installation. At present mitigation strategies are based on an interpretation of the precautionary principle that uses a worst-case approach, that is, assuming that UXO will be encountered, will explode, and will harm people onboard. We propose a probabilistic framework to estimate the UXO risk. Using this probabilistic framework, we conclude that the UXO risk during cable installation meets the prevailing safety standard in the Netherlands. Furthermore, we demonstrate that the UXO risk is lower than the general maritime risk, that is, the occupational health risk caused by the mitigation is higher than the UXO risk itself. We conclude that even for uncertain occupational risks, such as the UXO risk in the North Sea, a probabilistic analysis can be more instrumental in the decision-making process on accepting and mitigating risks than using worst-case scenario thinking.

Comparison of four approaches in eliciting health state utilities with SF-6Dv2.

OBJECTIVE: To empirically compare four preference elicitation approaches, the discrete choice experiment with time (DCETTO), the Best-Worst Scaling with time (BWSTTO), DCETTO with BWSTTO (DCEBWS), and the Standard Gamble (SG) method, in valuing health states using the SF-6Dv2. METHODS: A representative sample of the general population in Quebec, Canada, completed 6 SG tasks or 13 DCEBWS (i.e., 10 DCETTO followed by 3 BWSTTO). Choice tasks were designed with the SF-6Dv2. Several models were used to estimate SG data, and the conditional logit model was used for the DCE or BWS data. The performance of SG models was assessed using prediction accuracy (mean absolute error [MAE]), goodness of fit using Bayesian information criterion (BIC), t-test, Jarque-Bera (JB) test,  Ljung-Box (LB) test, the logical consistency of the parameters, and significance levels. Comparison between approaches was conducted using acceptability (self-reported difficulty and quality levels in answering, and completion time), consistency (monotonicity of model coefficients), accuracy (standard errors), dimensions coefficient magnitude, correlation between the value sets estimated, and the range of estimated values. The variance scale factor was computed to assess individuals' consistency in their choices for DCE and BWS approaches. RESULTS: Out of 828 people who completed SG and 1208 for DCEBWS tasks, a total of 724 participants for SG and 1153 for DCE tasks were included for analysis. Although no significant difference was observed in self-reported difficulties and qualities in answers among approaches, the SG had the longest completion time and excluded participants in SG were more prone to report difficulties in answering. The range of standard errors of the SG was the narrowest (0.012 to 0.015), followed by BWSTTO (0.023 to 0.035), DCEBWS (0.028 to 0.050), and DCETTO (0.028 to 0.052). The highest number of insignificant and illogical parameters was for BWSTTO. Pain dimension was the most important across dimensions in all approaches. The correlation between SG and DCEBWS utility values was the strongest (0.928), followed by the SG and BWSTTO values (0.889), and the SG and DCETTO (0.849). The range of utility values generated by SG tended to be shorter (-0.143 to 1) than those generated by the other three methods, whereas BWSTTO (-0.505 to 1) range values were shorter than DCETTO (-1.063 to 1) and DCEBWS (-0.637 to 1). The variance scale factor suggests that respondents had almost similar level of certainty or confidence in both DCE and BWS responses. CONCLUSION: The SG had the narrowest value set, the lowest completion rates, the longest completion time, the best prediction accuracy, and produced an unexpected sign for one level. The BWSTTO had a narrower value set, lower completion time, higher parameter inconsistency, and higher insignificant levels compared to DCETTO and DCEBWS. The results of DCEBWS were more similar to SG in number of insignificant and illogical parameters, and correlation.

Novel technique of pupillary dilation during retinal detachment surgery in an eye with iris claw lens.

Iris fixated intraocular lens (IOLs) have been used for Aphakia and capsular bag instability. The IOLs cause a postoperative non dilating pupil in most cases. We encountered such a case which presented with rhegmatogenous retinal detachment. We describe a novel technique of operating for retinal reattachment in such a case using iris hooks passing in the potential plane between the IOL optic and the iris. The technique had advantages of obviating the need for IOL explantation, associated large corneal entry wound, allowing silicone oil tamponade by retaining an IOL-iris diaphragm, early visual rehabilitation, reduced surgical time, and avoiding multiple surgeries.

Prognostic Role of Tumor Budding and Worst Pattern of Invasion in Lymph Node Metastasis and Disease-Free Survival in Oral Squamous Cell Cancer Patients: Result from Central India's Regional Cancer Centre.

Aim: To study the role of pattern of invasion, tumor budding and other clinicopathological parameters in determining the risk of nodal metastases and disease-free survival in oral squamous cell cancer patients. Method: The data of 90 patients with oral squamous cell carcinoma who underwent surgery as their primary modality of treatment were retrospectively analysed. Predictive significance of clinicopathological parameters was assessed with Univariate analysis with Fisher exact test and unpaired t-test. The factors which were significant on Univariate analysis were then analysed with multivariate analysis using logistic regression model to find independent predictors. P value < 0.05 was considered significant. Disease free survival analysis was performed using Kaplan-Meier method and comparison done using the log-rank test for each group. Result: The age of the patients ranged from 22yrs to 72 years with male predominance (81.1%). The most common site of involvement was buccal mucosa. Significant factors predicting nodal metastases on univariate analysis were site (p = 0.031), grade (p = 0.012), T stage (p = < 0.001), Depth of invasion (p = < 0.001), perineural invasion (p = < 0.001), lymphovascular emboli (p = 0.018), tumor budding (p = < 0.001), pattern of invasion (p = < 0.001) and stroma (p = 0.037). On multivariate analysis tumor budding (p = 0.016), depth of invasion (p = 0.016) and perineural invasion (p = 0.044) were predictive of nodal metastasis. A statistically significant difference in 3year disease free survival was seen in infiltrative pattern of invasion and tumor budding which showed a p-value of 0.0372 and 0.0489 respectively. Conclusion: Based on the findings of the present study and review of previous articles tumor budding, worst pattern of invasion, host lymphocyte response should also be included in routine histopathology reporting of OSCC.

Physician and Patient Preferences for Treatment of Anemia Associated with Chronic Kidney Disease in Japan: A Survey Including Best-Worst Scaling.

Background: Several treatment options are available for anemia associated with chronic kidney disease (CKD); however, there remains a lack of awareness of physician and patient preferences regarding these treatments. We aimed to explore physicians' and patients' perceptions and preferences regarding the management of anemia of CKD in Japan. Methods: A web-based survey, including best-worst scaling (BWS), was conducted with physicians who had treated ≥1 patient with anemia of CKD in the preceding year, and with patients with CKD who self-reported a clinical diagnosis of anemia of CKD or low hemoglobin levels. A three-step approach was used comprising cognitive interviews, a pilot survey, and a main survey. The BWS survey results were analyzed using multinomial logit and hierarchical Bayesian models. Results: The survey was completed by 906 participants: 103 patients (average age 60.6 years; 77.7% male) and 803 physicians (166 nephrologists, 214 cardiologists, 137 diabetologists, and 286 general internists). Almost all (96.0%) physicians surveyed considered anemia of CKD to be an important condition to treat. Hypoxia-inducible factor prolyl hydroxylase (HIF-PH) inhibitors had the highest treatment satisfaction among physicians, whereas patients had the highest satisfaction with both erythropoietin-stimulating agent therapy and HIF-PH inhibitors. Approximately one-third (35.9%) of patients surveyed indicated that they were receiving treatment. When comparing the relative importance of attributes and levels, physicians favored efficacy (particularly improvement in hemoglobin levels), whereas patients favored safety (particularly a lower rate of severe adverse events). Conclusion: Although a majority of physicians consider treatment of CKD-related anemia important, differences in the perceptions and usage of medications exist between medical specialties. Preferences for the management of anemia of CKD vary between physicians and patients; therefore, patient involvement in treatment decisions may help optimize outcomes.

Managing supply chain resilience assessment model-relevant factors and activities using an FCM-FBWM approach.

Supply chain resilience is essential for companies to survive in today's competitive market, as they face environmental and unforeseeable challenges in their supply chain. This paper aims to model and manage the factors and activities that influence supply chain resilience and how they relate to each other. This will help us devise plans for enhancing the resilience of a supply chain. By taking into account the factors and activities and their interrelationships, organizations can use their limited resources more efficiently to improve their supply chain resilience. We use a management matrix to rank the factors based on how they affect and contribute to the supply chain resilience. We conduct an empirical study in a pharmaceutical company to demonstrate the proposed management approach and provide improvement scenarios based on the ranking of the factors. The results show that the most important factors are "the cooperation and trust between supply chain members", "Visibility & Agility", and "Leadership Support and Commitment". The ranking of the factors may vary in different companies. Therefore, other companies can apply the method described in this paper and perform different improvement scenarios according to the ranking of the factors to effectively allocate their limited management efforts.

What attributes of digital devices are important to clinicians in rehabilitation? A cross-cultural best-worst scaling study.

BACKGROUND: Digital interventions are becoming increasingly popular in rehabilitation. Understanding of device features which impact clinician adoption and satisfaction is limited. Research in the field should be conducted across diverse settings to ensure digital interventions do not exacerbate healthcare inequities. OBJECTIVE: This study aimed to understand rehabilitation clinicians' preferences regarding device attributes and included a cross-cultural comparison. MATERIALS AND METHODS: Choice experiment methodology (best-worst scaling) was used to survey rehabilitation clinicians across Australia and Brazil. Participants completed 10 best-worst questions, choosing the most and least important device attributes from subsets of 31 attributes in a partially balanced block design. Results were analysed using multinomial models by country and latent class. Attribute preference scores (PS) were scaled to 0-100 (least to most important). RESULTS: A total of 122 clinicians from Brazil and 104 clinicians from Australia completed the survey. Most respondents were physiotherapists (83%) working with neurological populations (51%) in the private/self-employed sector (51%) who had experience using rehabilitation devices (87%). Despite preference heterogeneity across country and work sector (public/not-for-profit versus private/self-employed/other), clinicians consistently prioritised patient outcomes (PS 100.0, 95%CI: 86.2-100.0), patient engagement (PS 93.9, 95%CI: 80.6-94.2), usability (PS 81.3, 95%CI: 68.8-82.5), research evidence (PS 80.4, 95%CI: 68.1-81.7) and risk (PS 75.7, 95%CI: 63.8-77.3). In Australia, clinicians favoured device attributes which facilitate increased therapy dosage (PS 79.2, 95%CI: 62.6-81.1) and encourage patient independent practice (PS 66.8, 95%CI: 52.0-69.2). In Brazil, clinicians preferred attributes enabling device use for providing clinical data (PS 67.6, 95%CI: 51.8-70.9) and conducting clinical assessments (PS 65.6, 95%CI: 50.2-68.8). CONCLUSION: Clinicians prioritise patients' needs and practical application over technical aspects of digital rehabilitation devices. Contextual factors shape clinician preferences rather than individual clinician characteristics. Future device design and research should consider preferences and influences, involving diverse stakeholders to account for context-driven variations across cultures and healthcare settings.

Stable monomers in the ancestral sequence reconstruction of the last opisthokont common ancestor of dimeric triosephosphate isomerase.

Function and structure are strongly coupled in obligated oligomers such as Triosephosphate isomerase (TIM). In animals and fungi, TIM monomers are inactive and unstable. Previously, we used ancestral sequence reconstruction to study TIM evolution and found that before these lineages diverged, the last opisthokonta common ancestor of TIM (LOCATIM) was an obligated oligomer that resembles those of extant TIMs. Notably, calorimetric evidence indicated that ancestral TIM monomers are more structured than extant ones. To further increase confidence about the function, structure, and stability of the LOCATIM, in this work, we applied two different inference methodologies and the worst plausible case scenario for both of them, to infer four sequences of this ancestor and test the robustness of their physicochemical properties. The extensive biophysical characterization of the four reconstructed sequences of LOCATIM showed very similar hydrodynamic and spectroscopic properties, as well as ligand-binding energetics and catalytic parameters. Their 3D structures were also conserved. Although differences were observed in melting temperature, all LOCATIMs showed reversible urea-induced unfolding transitions, and for those that reached equilibrium, high conformational stability was estimated (ΔGTot = 40.6-46.2 kcal/mol). The stability of the inactive monomeric intermediates was also high (ΔGunf = 12.6-18.4 kcal/mol), resembling some protozoan TIMs rather than the unstable monomer observed in extant opisthokonts. A comparative analysis of the 3D structure of ancestral and extant TIMs shows a correlation between the higher stability of the ancestral monomers with the presence of several hydrogen bonds located in the "bottom" part of the barrel.

Exploring the barriers to implement industrial symbiosis in the apparel manufacturing industry: Implications for sustainable development.

Industrial symbiosis, a promising approach for sustainable industrial practices, has garnered attention in recent days for its ability to enhance resource efficiency, minimize waste, and preserve the environment through collaborative exchanges among industries. In emerging economies like Bangladesh, integrating industrial symbiosis in the manufacturing industries offers the potential to balance economic growth with environmental sustainability. However, this integration encounters various barriers that complicate the implementation. Despite research on industrial symbiosis in robust economies, studies on emerging and developed economies are still scarce. To date, no research has yet investigated the barriers hindering the performance of industrial symbiosis in the Bangladeshi apparel manufacturing sector. To address this gap, this study integrates the Bayes theorem and the Best-Worst Method to identify and prioritize barriers to the Bangladeshi apparel manufacturing sector. From extensive literature reviews and expert validation, 17 barriers were identified. Findings reveal the "lack of technology and infrastructure readiness" as the most significant barrier, followed by "lack of inter-company cooperation" and "lack of management support". Conquering these barriers empowers emerging economies to fortify the apparel manufacturing sector's resilience, resource efficiency, and environmental performance while fostering sustainable development via circular economy practices. This study is expected to guide policymakers and stakeholders in crafting targeted strategies for promoting steady growth and sustainable development in the apparel manufacturing sector of emerging economies like Bangladesh.

Dupilumab improves pruritus and skin lesions in patients with prurigo nodularis: Pooled results from 2 phase 3 trials (LIBERTY-PN PRIME and PRIME2).

Background: Phase 3 PRIME/PRIME2 trials independently demonstrated efficacy and an acceptable safety profile of dupilumab adults with moderate-to-severe prurigo nodularis. Objective: To obtain a more precise estimate of onset and magnitude of treatment effect using PRIME/PRIME2 pooled data. Methods: In PRIME/PRIME2, patients were randomized to dupilumab or placebo for 24 weeks. Pooled analysis assessed proportion of patients achieving clinically meaningful improvement in itch, clear/almost-clear skin, or both; at weeks 12 and 24; overall and by demographic subgroups and changes from baseline to week 24 in symptoms, signs, and quality of life. Results: Patients receiving dupilumab (n = 153) vs placebo (n = 158) experienced significant improvements in all tested endpoints. At week 24, 90 (58.8%) dupilumab-treated vs 30 (19.0%) placebo-treated patients achieved clinically meaningful improvement in itch, 71 (46.4%) vs 27 (17.1%) clear/almost clear skin, and 54 (35.3%) vs 14 (8.9%) achieved both (P < .0001 for all). Treatment benefits were independent of baseline demographics. Safety to week 36 was generally consistent with the known dupilumab safety profile. Limitations: On-treatment data limited to 24 weeks. Conclusions: Pooled analysis confirmed improvements reported in individual trials and revealed earlier effect onset in itch and skin pain. Dupilumab treatment showed benefits across demographics.

Statistical Methods for Best and Worst Eye Measurements.

Introduction: The focus is often on the best and worst eyes to detect early predictive and non-invasive biomarkers of diabetic retinopathy. Typically, such data have been dealt with in a case-control setting, which applies two-sample tests and ignores the correlation between the fellow eyes. Practitioners are mostly unaware that such measurements hide the labels of the fellow eyes, which rules out standard tools, such as paired t or signed-rank tests. Methods: This report discusses the problems with such data on best and worst eye measurements, and illustrates alternative paired tests for equality of means or locations using a case-control dataset. Results: This report illustrates that methods which ignore the correlation between fellow eyes result in grossly conservative tests. A battery of Z-tests which consider this correlation can resolve this issue. Discussion: This finding emphasizes the importance of selecting an appropriate control group for the detection of possible markers. Further, it cites an example to show that using data from fellow eyes and adjusting for their correlation may not always be the best option, contrary to common perception.

Client preferences for the design and delivery of injectable opioid agonist treatment services: Results from a best-worst scaling task.

BACKGROUND AND AIMS: Clinical trials support injectable opioid agonist treatment (iOAT) for individuals with opioid use disorder (OUD) for whom other pharmacological management approaches are not well-suited. However, despite substantial research indicating that person-centered care improves engagement, retention and health outcomes for individuals with OUD, structural requirements (e.g. drug policies) often dictate how iOAT must be delivered, regardless of client preferences. This study aimed to quantify clients' iOAT delivery preferences to improve client engagement and retention. DESIGN: Cross-sectional preference elicitation survey. SETTING: Metro Vancouver, British Columbia, Canada. PARTICIPANTS: 124 current and former iOAT clients. MEASUREMENTS: Participants completed a demographic questionnaire package and an interviewer-led preference elicitation survey (case 2 best-worst scaling task). Latent class analysis was used to identify distinct preference groups and explore demographic differences between preference groups. FINDINGS: Most participants (n = 100; 81%) were current iOAT clients. Latent class analysis identified two distinct groups of client preferences: (1) autonomous decision-makers (n = 73; 59%) and (2) shared decision-makers (n = 51; 41%). These groups had different preferences for how medication type and dosage were selected. Both groups prioritized access to take-home medication (i.e. carries), the ability to set their own schedule, receiving iOAT in a space they like and having other services available at iOAT clinics. Compared with shared decision-makers, fewer autonomous decision-makers identified as a cis-male/man and reported flexible preferences. CONCLUSIONS: Injectable opioid agonist treatment (iOAT) clients surveyed in Vancouver, Canada, appear to prefer greater autonomy than they currently have in choosing OAT medication type, dosage and treatment schedule.

Understanding Consumer Preferences for Attributes of Yak Meat: Implications for Economic Growth and Resource Efficiency in Pastoral Areas.

Realizing the market value of grassland resources is of great significance to finding a balance between ecological protection and economic development. As a unique livestock animal that is native to the Qinghai-Xizang Plateau, the yak plays an important role in maintaining ecosystem stability, ensuring the livelihoods of herdsmen, promoting socio-economic development, and preserving ethnic cultural traditions. However, given its small market share, little is known about the factors that drive Chinese consumer preferences for yak meat. This study aimed to investigate consumer preferences for yak meat by means of an online survey involving a sample of 2999 respondents from five cities in China. The best-worst scaling method was employed to measure the relative importance of different attributes of yak meat by using a purchasing scenario. The results indicated that quality-safety certification, freshness, and production sustainability were regarded as the most preferred attributes, whereas animal welfare, brand, and the purchasing channel were found to be the least preferred. In addition, significant heterogeneity was detected in consumer preferences. Consumers were divided into three classes, namely 'Price Sensitive Consumers,' 'Environmentally Friendly Consumers,' and 'Yak Meat Inclined Consumers,' respectively. Our findings might be helpful for policymakers and yak meat producers to develop targeted strategies to facilitate the sale of yak meat and then restore degraded grasslands.

Divergent beliefs about food safety and affordability in Nigeria.

Access to safe, affordable diets is paramount for improved nutritional outcomes. Yet, how do stakeholders perceive the binding constraints and requisite policy actions to increase food safety and affordability? Focusing on Nigeria, this paper uses best-worst scaling techniques applied to a survey of 200 government and agrifood system stakeholders to examine their policy beliefs on safety and affordability vis-à-vis the vegetable and fish value chains. We find that divergence among stakeholders is greater for food safety than affordability. While antibiotics overuse and toxin exposure, lack of knowledge, and weak legislation were identified by different stakeholders as the binding constraints for food safety, high costs of inputs and infrastructure, as well as security threats, were seen as common challenges for affordability across most, though not all, stakeholders for both value chains. Overall, the paper highlights the importance of beliefs in the agrifood system policymaking process and emphasizes the need to explore not only the existence but also the source of divergent beliefs among policy actors in greater depth.