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Scientists and managers seek to implement more inclusive and effective conservation strategies by incorporating plural valuations of nature and nature's contributions to people (NCP) into research and decision-making. For Argentina's threatened Espinal ecoregion, this need is particularly acute. In Entre Ríos province, practically all of these forests are devoted to production, and the expanding agricultural frontier increases their conversion to crops. We surveyed family ranchers and agricultural/environmental specialists, two key stakeholders for managing Espinal forests used for cattle grazing. Employing a sociocultural valuation, we determined i) stakeholder recognition of the Espinal's NCP and its support for quality of life, ii) similarity between stakeholder valuations (importance: 0 = none; 4 = very) of NCP and dimensions of well-being derived from the Espinal, and iii) relationship between ecological (e.g., forest degradation) and social (e.g., place of residence) factors and perceptions of the forest. Ranchers recognized more NCP and quality-of-life aspects, and the importance to their well-being tended to be greater than specialists. Both groups valued regulating and non-material NCP above material contributions and considered that forests are very important for physical and mental health. Finally, only rancher perceptions varied with tested variables, depending on degradation levels of forests with which they have the most contact and/or carry out their activities, the number of uses and recreational activities they carry out in forests, their knowledge of forests, and their place of residence. This study illustrates common ground upon which to promote synergies between production and conservation in Espinal-cattle agroecosystems.

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OBJECTIVE: The aim of this study is to provide Chinese utility weights for the European Organization for Research and Treatment of Cancer Quality of Life Utility Measure-Core 10 Dimensions (EORTC QLU-C10D) which is a preference-based cancer-specific utility instrument derived from the EORTC QLQ-C30. METHODS: We conducted an online survey of the general population in China, with quota sampling for age and gender. Each respondent was asked to complete a discrete choice experimental survey consisting of 16 randomly selected choice sets. The conditional logit model and mixed logit model were used to analyze respondents' preferences, and the goodness of fit of the model was tested. RESULTS: A total of 2003 respondents were included in the analysis. Utility decrements within dimensions were typically monotonic. Monotonic inconsistency issues in the Fatigue, Sleep, and Nausea dimensions were normalized by monotonicity correction. Physical functioning, Pain, and Role functioning were associated with the greatest utility weights, with the smallest decrements being in Bowel problems and Emotional functioning. The utility value for the worst health state was 0.083, i.e. slightly higher than being dead. CONCLUSIONS: This study provides the first China-specific set of value for the QLU-C10D based on societal preferences of the Chinese adult general population. The value set can be used as a cancer-specific scoring system for economic evaluations of new oncology therapies and technologies in China.

1. This study provides the first China-specific set of value for the QLU-C10D based on societal preferences of the Chinese adult general population. 2. The value set can be used as a cancer-specific scoring system for economic evaluations of new oncology therapies and technologies in China.

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Assessing the economic value of livestock such as cattle, goats, sheep, pigs, chickens and fish can offer information about their financial performance and economic importance at farm, national and global scale. Such information is needed for decision-making surrounding livestock finance, investment and strategic development. The aim of this study was to provide an overview of the key livestock valuation methods and associated data requirements. The study was conducted using a literature review. Five key livestock valuation methods were identified and described: historical costs, net current market value, replacement costs, net present value and cost of production. The findings of this study may be of interest to livestock scientists, veterinarians, policy-makers and other stakeholders who aim to assess the economic value of livestock herds. The Global Burden of Animal Diseases programme relied on the outcomes of this study to identify methods for the estimation of the economic value of livestock at the global scale and for its Ethiopia and Indonesia case studies.

L'estimation de la valeur économique des animaux d'élevage (bovins, caprins, ovins, porcins, poulets et poissons d'élevage) peut apporter un éclairage sur leurs performances financières et leur intérêt économique à l'échelle d'une exploitation, d'un pays ou du monde. Ces informations sont indispensables pour étayer les décisions de financement, d'investissement et de développement stratégique des élevages. L'étude présentée par l'autrice vise à donner une vue d'ensemble des principales méthodes d'estimation de la valeur des animaux d'élevage et des exigences qui leur sont associées en termes de données. L'étude repose sur un examen de la littérature sur le sujet. Cinq méthodes principales d'estimation de la valeur des animaux d'élevage y sont répertoriées et décrites : coûts historiques, valeur marchande courante nette, coûts de remplacement, valeur actuelle nette et coûts de production. Les résultats de cette étude pourraient intéresser les spécialistes de l'élevage, les vétérinaires, les décideurs politiques et d'autres parties prenantes qui cherchent à évaluer la valeur économique des cheptels. Le programme " Impact mondial des maladies animales " s'est appuyé sur les résultats de cette étude pour retenir les méthodes d'estimation de la valeur économique des animaux d'élevage appliquées à l'échelle mondiale ainsi que dans les études de cas conduites en Ethiopie et en Indonésie.

Evaluar el valor económico del ganado, como vacas, cabras, ovejas, cerdos, pollos y peces, puede ofrecer información sobre su desempeño financiero y su importancia económica tanto a nivel de la explotación como a escala nacional y mundial. Esta información es necesaria para la toma de decisiones en materia de financiación, inversión y desarrollo estratégico de la ganadería. El objetivo de este estudio era ofrecer una visión general de los principales métodos de valoración del ganado y de las necesidades de datos conexas. Para ello, se llevó a cabo una revisión bibliográfica y se distinguieron y describieron cinco métodos fundamentales de valoración de la ganadería: costes históricos, valor actual de mercado neto, costes de reposición, valor actual neto y costes de producción. Las conclusiones de este estudio pueden ser de interés para científicos que trabajan en el ámbito de la ganadería, veterinarios, responsables de la toma de decisiones y otras partes interesadas en la evaluación del valor económico del ganado. El programa sobre el Impacto Global de las Enfermedades Animales se basó en los resultados de este estudio para definir métodos de estimación del valor económico del ganado a escala mundial y para sus estudios de caso de Etiopía e Indonesia.

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BACKGROUND: In Jordan, no national value set is available for any preference-accompanied health utility measure. OBJECTIVE: This study aims to develop a value set for EQ-5D-3L based on the preferences of the Jordanian general population. METHODS: A representative sample of the Jordanian general population was obtained through quota sampling involving age, gender, and region. Participants aged above 18 years were interviewed via videoconferencing using the EuroQol Valuation Technology 2.1 protocol. Participants completed ten composite time trade-offs (cTTO) and ten discrete choice experiments (DCE) tasks. cTTO and DCE data were analyzed using linear and logistic regression models, respectively, and hybrid models were applied to the combined DCE and cTTO data. RESULTS: A total of 301 participants with complete data were included in the analysis. The sample was representative of the general population regarding region, age, and gender. All model types applied, that is, random intercept model, random intercept Tobit, linear model with correction for heteroskedasticity, Tobit with correction for heteroskedasticity, and all hybrid models, were statistically significant. They showed logical consistency in terms of higher utility decrements with more severe levels. The hybrid model corrected for heteroskedasticity was selected to construct the Jordanian EQ-5D-3L value set as it showed the best fit and lowest mean absolute error. The predicted value for the most severe health state (33333) was - 0.563. Utility decrements due to mobility had the largest weight, followed by anxiety/depression, while usual activities had the smallest weight. CONCLUSION: This study provides the first EQ-5D-3L value set in the Middle East. The Jordanian EQ-5D-3L value set can now be used in health technology assessments for health policy planning by the Jordanian health sector's decision-makers.

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In human culture, an object's value is influenced by tangible properties (e.g. visual desirability and constituent materials) and intangible ownership history (e.g. authentic objects owned by celebrities are often worth more than similar inauthentic objects). Children are sensitive to both of these factors as independent determinants of value, but research has yet to elucidate how they interact. Here, we investigate whether children aged 5-11 years consider object properties or authentic ownership history to be the greater determinant of value and examine how their object valuations are influenced by owners' characteristics. In Study 1, visually desirable and undesirable items belonging to 'famously good' owners received higher valuations than similar items belonging to non-famous owners, whereas desirable items belonging to 'famously bad' owners received significantly lower values. In Study 2, children considered items made from cheap materials belonging to famously good owners, but not famously bad owners, to be as valuable as similar items made from expensive materials belonging to non-famous owners. In Study 3, physical contact with a famously bad owner had a detrimental impact on value, but worn and unworn objects belonging to famously good owners did not significantly differ in value. Across studies, we documented evidence that children's sensitivity to authentic ownership history and physical contact as determinants of value increases with age. Together, these findings demonstrate that children's valuation of ownership history relative to object properties depends on the owner's 'essence', and their sensitivity to owner contact as a mediator of value indicates awareness of 'magical contagion'.

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Gross Ecosystem Product (GEP) denotes the aggregate value of ecosystem services (ESs) supplied by all ecosystem types within an accounting area for a given accounting period in monetary units and represents one of the multiple types of measures of ES values. The value of each ES is typically calculated by multiplying the ES's quantity by the ES's unit value that may be reflected by various proxies, such as market price, replacement cost, and avoided damage cost. As an economic, ecological, or environmental indicator, GEP should be calculated based on certain standards, allowing for comparison over time and across regions. While many standards, including which ESs to account for and what proxies for ESs' values to use, should be unified to improve the comparability of GEP, this standardization does not mean a single GEP accounting system is sufficient to achieve multiple goals. Instead, at least two accounting systems with different applicability and levels of sophistication are needed. (1) To assess environmental status, ecosystems' capacities to provide ESs, and the performance of environmental governance, there should be a simplified system that accounts for both realized ESs (actually received by humans) and potential ESs (beyond actual humans demands) and adopts a nationwide unified constant unit value of each ES. (2) To assess ESs' actual contributions to socioeconomic development and human well-being, there should be a more sophisticated system that accounts for realized ESs only and adopts a dynamic unit value of each ES. This dynamic unit value should be adjusted to fit local socioeconomic and ecological contexts, consider the tipping point or threshold in each ES's quantity, and reflect the diminishment or increment in the marginal utility of each ES.

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OBJECTIVES: Ghana's economic evaluation reference case recommends quality-adjusted life-years as an outcome measure for the conduct of cost-utility analysis. There is no Ghanaian value set available to be used in estimating quality-adjusted life-years. This study aimed to develop a value set for Ghana using the EQ-5D-5L instrument. METHODS: Face-to-face preference data were collected from 300 adults across 3 regions of Ghana using the adapted version of the EuroQol valuation technology (EQ-VT) standardized valuation protocol; with composite time-trade-off (cTTO) and discrete-choice experiments (DCEs) elicitation techniques. The cTTO and DCE data were modeled individually or together to provide complementary results on respondents' utility preferences. Models explored were generalized least squares, Tobit, heteroskedastic, logit, and hybrid. The best-fitting model for the value set was selected based on its logical consistency, accounting for left-censored and heteroscedasticity data, and the statistical significance of parameters. RESULTS: The 300 interviews provided 4500 cTTO responses and 4200 DCE responses. The preferred model chosen for the Ghana value set was the Hybrid Tobit random effect heteroscedastic-constrained model. The predicted value for the worst attainable health state (55555) was -0.493 and the best health state (11112) was 0.969. The largest decrement was registered for level 5 mobility (0.369) followed by pain/discomfort (0.312), self-care (0.273), anxiety/depression (0.271), and usual activities (0.268). CONCLUSIONS: This is the first Ghanaian EQ-5D-5L value set based on social preference derived from a nationally representative sample. The value set will play a key role in the use of economic evaluation studies to inform priority setting in Ghana where different health technologies can be compared.

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Purpose: This study aimed to explore the Willingness To Pay (WTP) of uninsured individuals in Saudi Arabia and the factors influencing their decisions regarding telemedicine services. Patients and Methods: This study used a cross-sectional survey design and convenience sampling to gather data from respondents aged 18 years or older who had visited healthcare facilities at least once in the past year and were uninsured. WTP was determined using the contingent valuation method, and a two-part regression model was applied to analyze the factors influencing WTP. Results: The study included 4232 participants and discovered that approximately 17.41% were willing to pay for telemedicine services. Those aged 60 and older, employed in the government or private sector, in higher socioeconomic quintiles, and experiencing chronic health issues showed a positive association with their WTP value. Conversely, individuals aged between 30 and 44 years, married, and unemployed exhibited a negative association with a lower WTP value. Conclusion: The findings indicate that most respondents hesitated to pay for telemedicine services, with a significant influence from sociodemographic characteristics, underscoring the need to promote telemedicine use among underserved populations and address health disparities.

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Introduction: Obesity, which is partly driven by the consumption of sugar-sweetened beverages (SSBs), significantly increases the risk of type-2 diabetes and cardiovascular diseases, leading to substantial health and economic burdens. Methods: This study aims to quantify the monetary value of health harms caused by SSB consumption, along with the associated internalities, through a contingent valuation survey. The results are crucial for determining the socially optimal tax rate. Results: We surveyed 293 residents of Wellington, New Zealand, to assess their willingness to pay (WTP) for reductions in the risks of diabetes, stroke, and heart disease associated with SSB intake. Logistic regression analysis revealed the marginal WTP for a 1% risk reduction in diabetes, stroke, and heart disease to be NZ$404.86, NZ$809.04, and NZ$1,236.84, respectively. Based on these values, we estimate the marginal harm from SSB consumption to be approximately NZ$17.37 per liter in New Zealand, with internalities amounting to NZ$6.43 per liter, suggesting an optimal tax rate of NZ$6.49 per liter. Discussion: Implementing such a tax is feasible and would likely double or triple the price of SSBs in New Zealand.

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Protected areas such as national parks constitute an increasing land mass globally, but these areas are under increasing threat from climate change events such as drought, flooding, and bushfires. The recent Yosemite National Park fires in California provide an example of this issue. After any such disaster, authorities will need to restore those protected areas to their former state at significant costs within any public funding cycle. To corroborate that request, clear economic assessments of total costs and benefits will be required. However, in previous studies of these issues a complete set of government cost and/or benefit data may not be provided, skewing assessment results accordingly. Using South Australia's Kangaroo Island protected areas-which were significantly destroyed by bushfire in 2019-20-as a case study with a unique set of State government cost data we calculate a set of analyses via economic methods. Despite significant restoration costs the study found the discounted net present value of returning tourists to the Island is 3.15 over ten years for park tourism and regional economic impacts, providing an internal rate of return of 22%. The rebuild work is also expected to support around 430 full time equivalent (FTE) jobs during construction, with a return to full tourism supporting another 744 FTEs across relevant sectors (e.g. accommodation, retail) of the Kangaroo Island economy. This robust assessment makes it far easier for protected area managers to argue their funding case.

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Susceptibility to misinformation and belief polarization often reflects people's tendency to incorporate information in a biased way. Despite the presence of competing theoretical models, the underlying neurocognitive mechanisms of motivated reasoning remain elusive as previous empirical work did not properly track the belief formation process. To address this problem, we employed a design that identifies motivated reasoning as directional deviations from a Bayesian benchmark of unbiased belief updating. We asked the members of a proimmigration or an anti-immigration group regarding the extent to which they endorse factual messages on foreign criminality, a polarizing political topic. Both groups exhibited a desirability bias by overendorsing attitude-consistent messages and underendorsing attitude-discrepant messages and an identity bias by overendorsing messages from in-group members and underendorsing messages from out-group members. In both groups, neural responses to the messages predicted subsequent expression of desirability and identity biases, suggesting a common neural basis of motivated reasoning across ideologically opposing groups. Specifically, brain regions implicated in encoding value, error detection, and mentalizing tracked the degree of desirability bias. Less extensive activation in the mentalizing network tracked the degree of identity bias. These findings illustrate the distinct neurocognitive architecture of desirability and identity biases and inform existing cognitive models of politically motivated reasoning.

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OBJECTIVE: to assess the feasibility of a new stated preference approach, the multiple bounded dichotomous choice (MBDC), designed to generate value sets for preference-based measurement of health-related quality of life. METHODS: MBDC and standard gamble (SG) tasks were completed to derive SF-6Dv2 value sets from a sample of the general population in Quebec, Canada. Participants were randomized between the two approaches: 6 health states were evaluated in SG and 11 health states in MBDC. Several models were used to estimate data in each approach, and the preferred models were chosen by using mean absolute error (MAE), logical consistency of parameters, and significance levels. Results of MBDC were compared with SG in terms of 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 intra-class correlation coefficient (ICC) was computed to assess value sets' consistency. RESULTS: Out of 655 individuals who completed MBDC tasks and 828 who completed SG tasks, a total of 585 participants for MBDC and 714 for SG tasks were included for analysis. The preferred models for both approaches were GLS Tobit. No significant difference was observed in self-reported difficulties and qualities in answers among approaches, but MBDC had less excluded participants and was less prone to report difficulties in answering. Additionally, completion time in the MBDC group was significantly lower (99.80 vs 68.12 s). Most standard errors in the MBDC were lower than those in SG, and the number of non-significant parameters was also lower. The range of utility values generated by MBDC tended to be wider (-0.372 to 1) than those generated by the SG (-0.137 to 1) and the number of worse-than-dead states in MBDC (0.91%) was higher than for SG (0.08%). The Pain dimension was identified as the most significant, while the Vitality dimension showed the lowest significant decrement. Both approaches exhibited a tendency to overestimate severe health state values and underestimate better health state values. The correlation and ICC between the two value sets were 0.937 and 0.983, respectively. CONCLUSION: Based on empirical evidence, it can be inferred that the MBDC method is not only feasible but also holds the potential to generate meaningful and well-informed preference data from respondents. This approach can be used to derive a value set for preference-based instrument.

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The aims of this paper are to estimate the monetary value of informal care for people with Alzheimer's disease (AD) in Spain, to compare results with those obtained in 2008 and to analyse the main determinants of the time of the value of informal care. The Survey on Disabilities, Autonomy and Dependency carried out in Spain in 2020/21 was used to obtain information about disabled individuals with AD and their informal caregivers. Assessment of informal care time was carried out using two alternative approaches: the replacement method, and the contingent valuation method (willingness to pay & willingness to accept). The number of people with AD residing in Spanish households and receiving informal care rose to more than 200,000, representing an increase of 43% compared with 2008. The average number of hours of informal care per week ranged from 86 to 101 h, with an estimated value of between €31,584 - €37,019 per year per caregiver (willingness to accept) or €71,653 - €83,984 per year (replacement). The annual total number of caregiving hours ranged between 896 and 1,061 million hours, representing between 0.52 and 0.62 of GDP in 2021 (willingness to accept) or 1.19-1.40 of GDP (replacement). The level of care needs plays a central role in explaining heterogeneity in estimates. These results should be taken into account by decision-makers for long-term care planning in the coming years.

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With the innovation of information technology, the national industry has been adjusted and upgraded, and the development of the Internet industry has had a huge impact on economic development. The investment and financing of network enterprises and the merger and acquisition of network companies need to evaluate the value of network companies. In this regard, this paper evaluated the value of Internet platform enterprises under the digital economy based on the Big Data (BD) cooperation asset valuation model. This paper analyzed the factors affecting the value evaluation of Internet enterprises and discussed the advantages of BD cooperative asset valuation model in the value evaluation of Internet enterprises in the digital economy. The BD cooperation asset valuation model was constructed, and the value evaluation experiment of Internet platform enterprises under the digital economy was carried out. The experimental results of this paper showed that in the evaluation of the profitability value of Internet enterprises, the difference between the net sales interest rate was 0.14%-0.51 %. The difference between the net interest rate of equity was 0.09%-0.67 %, and the difference between the net interest rate of total assets was 0.19%-0.92 %; in terms of the evaluation of the operating capacity of Internet enterprises, the difference between the current asset turnover rate was 0.05-0.16. The difference of non-current asset turnover rate was 0.02-0.15, and the difference of total asset turnover rate was 0.01-0.16. The evaluation value based on the BD cooperation asset valuation model was not different from the actual enterprise value, which showed that the BD cooperation asset valuation model had good advantages in the evaluation of the value of Internet enterprises.

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Introduction. Serogroup B (MenB) is the leading cause of invasive meningococcal disease among adolescents and young adults in the United States. The US Advisory Committee on Immunization Practices (ACIP) recommends MenB vaccination based on shared clinical decision making between patients and providers. However, suboptimal understanding of these recommendations could contribute to low vaccination awareness and coverage. Understanding young adult and parent expectations of their health care providers (HCPs) and the value they place on vaccine information could help inform a consistent approach to HCP MenB vaccination discussions and recommendations. Methods. Data collected via a discrete-choice experiment online survey were used to evaluate preferences and willingness to pay regarding MenB vaccination among US parents and young adults in 2019. Results. Of 2,388 respondents with valid data, 1,185 were parents of children aged 12 to 25 y, and 1,203 were young adults aged 18 to 25 y. Approximately 70% of parents and young adults indicated that they would react negatively if their HCP chose not to initiate a discussion with them about MenB vaccines. Neither parents nor young adults were willing to pay for additional time for MenB vaccine discussions with their HCP but were willing to pay an average of $416 and $282, respectively, for the vaccine. For parents and young adults, greater willingness to pay was associated with a provaccination attitude and the opinion that the HCP has a moral obligation to discuss the MenB vaccine with them. Conclusion. Both parents and young adults felt their HCP is responsible for initiating a discussion about MenB vaccination and disease risk and were willing to pay for the vaccine. These findings should help inform ACIP recommendations for meningococcal vaccination. Highlights: ACIP recommends shared clinical decision making for MenB vaccination.Data were collected from young adults and parents of adolescents by online survey.We measured values and consultation preferences on MenB disease and vaccination.Young adults/parents strongly preferred doctor-initiated MenB vaccine discussion.Respondents were willing to pay for a MenB vaccine.

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Background and aims: Neurobiological models of addiction posit that addiction manifests through an amplified salience towards addiction-associated stimuli and a diminished responsiveness to non-addiction-related incentives. However, existing research on reward processing in individuals with problematic pornography use (PPU) has primarily been limited to sexual cue reactivity. Methods: In this event-related potential (ERP) study, we employed a risky decision-making task involving 30 individuals with PPU and 33 healthy controls (HCs) to examine the effects of PPU on non-pornographic (money) reward valuation. Results: Compared to HCs, individuals with PPU exhibited compromised sensitivity to monetary rewards. Specifically, while the HC group demonstrated a differential response in late positive potential (LPP) amplitude to various expected value (EV) levels, this pattern was absent in the PPU group. This impairment was associated with poorer adaptive decision-making, as evidenced by PPU participants' inability to adjust risk choices based on changes in EV, leading to a propensity for riskier decisions in disadvantageous situations. Discussion and conclusions: The findings of impaired monetary evaluation in individuals with PPU may potentially explain why they continually pursue pornographic rewards while showing insensitivity to other rewards in daily life. Consequently, treatment development strategies may prioritize improving sensitivity to non-pornographic rewards within this population.

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INTRODUCTION: Cataracts represent a significant public health issue and are the most prevalent vision disorder following refractive errors. They can restrict the economic, social, and psychological activities of those affected, thereby diminishing their quality of life. This study was undertaken to examine the willingness to pay for cataract surgery and the factors influencing this decision in selected medical centers in Urmia. The two-stage Heckman model was utilized to aid decision-making in financing this service. METHODS: This research was a descriptive-analytical study evaluating the economic aspects of health interventions, conducted from the patient's perspective. In this cross-sectional study, a sample size of 217 patients with cataract issues was selected using Michel Carson's table. These patients were from Imam Khomeini Hospital and Aftab Urmia Surgery Center in 2023. Data was collected using a conditional valuation approach to determine the maximum amount patients were willing to pay, as gathered through a questionnaire. The factors influencing the willingness to pay for cataract surgery were estimated using the two-stage Heckman regression model. The final effect value of each variable was calculated using Stata version 14 software. RESULTS: In this study, 81.11% of participants (176 individuals) expressed a willingness to pay for cataract surgery, with the average amount they were willing to pay being $206.3. However, out of the 217 respondents, 41 rejected the proposed amounts and were not willing to pay anything. The results of the Hemken model indicated that the income of patients and the size of their households significantly influenced their willingness to pay for cataract surgery. However, other variables investigated did not have a significant impact. CONCLUSION: The study results revealed a significant influence of both income and household size on the likelihood of willingness to pay, as well as the extent of willingness to pay for cataract surgery. Consequently, it is crucial to formulate policies and provisions that guarantee access to cataract services, particularly for individuals from large households with low income and high costs.

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Background: The development of models predicting response to weight loss therapy using sibutramine is found in only a few cases. The objective of the work is to develop a data-driven method of personalized recommendation for obesity treatment that would predict the response to sibutramine based on the current set of patient parameters. Methods: The decision system is built on the XGBoost classification algorithm along with recursive feature selection and Shapley data valuation. Using the results of clinical trials, it was trained to estimate the probability of overcoming a weight loss threshold. The model was evaluated by the accuracy metric using the Leave-One-Out cross-validation. Results: The model for predicting response to sibutramine treatment over 3 months has an accuracy of 71%. The model for predicting outcomes at the sixth month visit based on results at 3 months has an accuracy of 80%. Conclusions: Although our developed prediction model may not exhibit high precision compared to certain benchmarks, it significantly outperforms random chance or models relying only on BMI parameters. Our model used the available range of laboratory tests, which makes it possible to use this model for routine clinical use and help doctors decide whether to prescribe sibutramine.

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The value of statistical life (VSL) reflects the trade-off between money and the risk of death. It is a key indicator for conducting regulatory impact assessments. The main purpose of this study was to estimate the VSL in the field of food safety. At the same time, it investigates respondents' willingness to pay (WTP) for reducing the risk of death from foodborne illnesses and explores the impact of factors such as the average household monthly income, health status, and education level on WTP. We conducted a survey using an open-ended contingent valuation method among 1307 respondents aged 18 and above to determine their WTP. Based on the WTP survey results, we calculated the VSL in the food safety sector. We used binary logit and Tobit models to analyze the influencing factors. The results of the study show that the median WTP for reducing the risk of foodborne illness is CNY 100 (USD 16), and the estimated VSL is approximately CNY 9.09 million (USD 141 million). Indicators such as the average household monthly income, health status, and education level are important factors affecting WTP. This study will help practitioners, researchers, and policymakers understand the current population's attitudes towards food safety regulations and determine the priorities for regulatory implementation. Future research can explore the effects of different elicitation methods, cultural differences, and regional variations on WTP and VSL.

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Dal Lake, the world-famous tourist attraction has been polluted by allochthonous and autochthonous sources, as a result the heavy metal (HMs) concentrations within the water body has reached the toxic levels which is endangering the lives of the people. A study was carried out during the year 2021 (i) to determine the concentration of HMs (molybdenum: Mo, arsenic: Ar, cadmium: Cd, lead: Pb) at the four designated sites of Dal Lake, and (ii) a public survey (400 persons) involving economic valuation of water body in terms of recreational use and other benefits. The highest values of biological oxygen demand (BOD) and chemical oxygen demand (COD) within the Dal Lake were recorded at site A, which were 31 ± 1.10 mg/l and 76 ± 0.64, respectively. Similarly, maximum nitrate nitrogen was found at site A (865 ± 0.86 µg/l). The highest value of Pb was reported (6.828 ± 0.003 ppb) from site A whereas, the lowest from site B (2.492 ± 0.002 ppb). The mean values of Mo concentrations (in ppb) were found to be 2.538 ± 0.002, 1.703 ± 0.003, 3.627 ± 0.004 and 4.787 ± 0.002 at the four sites respectively. The observed values of HMs (in ppb) were much higher than the permissible values (WHO, 2006) and those reported earlier. A huge amount of money (Rs 16,18,66,000/) is being generated from the floating gardens of Dal Lake, calculated by TCM and CVM methods. During the survey, 68 % of people showed a willingness to pay (WTP) for the restoration of the Dal Lake and improved services (mean value: Rs 62,852.20/). Thus, the monitoring and assessment were done to find out how the Dal Lake contributes to the economy of the state by way of its different services and the major attraction for tourists besides the possible reasons for the deterioration of water quality, in order to find a long-lasting solution for the sustainable conservation of Dal Lake.