High Preference Research Articles

Christmas article: Point-of-care test of optimal meat structure in Danish Pork Roasts - a prospective observational study

Pork Roast is an important part of the Danish holidays. The precise cooking of the pork roast is a controversial debate, which has been going on for decades. Newer techniques such as sous vide have been gaining popularity, but the optimal pork roast is yet to be determined. This study sought to evaluate the optimal meat structure for Christmas pork roast. Three pork roasts were analyzed using an ultrasound scanner regarding fluid content. Then the pork roasts were suis vided for 6 hours at 60 degrees Celsius and oven-roasted for 34 minutes. An unbiased tasting panel tested the pork roasts and rated their juiciness. The study was able to measure fluid content in the pork roasts. The two pork roasts (2 and 3) with the lowest fluid content were preferred by a panel of 40 taste testers. The pork roast with the highest fluid content also had the highest drop in weight during cooking. Lower fluid content correlated with higher preference. Ultrasound was effective in estimating fluid content, impacting perceived juiciness and quality. The pork roast with more fluid was less juicy and preferred, aligning with studies linking higher fat to juiciness. The study suggests selecting pork roasts with less fluid using ultrasound is viable for finding the best quality roast. Ultrasound testing is a viable point-of-care modality in selecting the most sensory-pleasing pork roast. Future studies should identify either a cut-off value or investigate if the fluid content to juiciness correlation is linear. none. none.

Comparative analysis of impact of classification algorithms on security and performance bug reports

Abstract Identification and classification of bugs, e.g., security and performance are a preemptive and fundamental practice which contributes to the development of secure and efficient software. Software Quality Assurance (SQA) needs to classify bugs into relevant categories, e.g., security and performance bugs since one type of bug may have a higher preference over another, thus facilitating software evolution and maintenance. In addition to classification, it would be ideal for the SQA manager to prioritize security and performance bugs based on the level of perseverance, severity, or impact to assign relevant developers whose expertise is aligned with the identification of such bugs, thus facilitating triaging. The aim of this research is to compare and analyze the prediction accuracy of machine learning algorithms, i.e., Artificial neural network (ANN), Support vector machine (SVM), Naïve Bayes (NB), Decision tree (DT), Logistic regression (LR), and K-nearest neighbor (KNN) to identify security and performance bugs from the bug repository. We first label the existing dataset from the Bugzilla repository with the help of a software security expert to train the algorithms. Our research type is explanatory, and our research method is controlled experimentation, in which the independent variable is prediction accuracy and the dependent variables are ANN, SVM, NB, DT, LR, and KNN. First, we applied preprocessing, Term Frequency-Inverse Document Frequency feature extraction methods, and then applied classification algorithms. The results were measured through accuracy, precision, recall, and F-measure and then the results were compared and validated through the ten-fold cross-validation technique. Comparative analysis reveals that two algorithms (SVM and LR) perform better in terms of precision (0.99) for performance bugs and three algorithms (SVM, ANN, and LR) perform better in terms of F1 score for security bugs as compared to other classification algorithms which are essentially due to the linear dataset and extensive number of features in the dataset.

Electric Vehicle Traction Battery Recycling Decision-Making Considering Blockchain Technology in the Context of Capacitance Level Differential Demand

In recent years, the rapid growth in electric vehicle ownership has resulted in a significant number of decommissioned traction batteries that will require recycling in the future. As consumer expectations for electric vehicle range continue to rise, the turnover of traction batteries has accelerated substantially. Consequently, there is an urgent need for electric vehicle manufacturers to establish an efficient, recyclable supply chain for the return of end-of-life (EOL) electric vehicle (EV) traction batteries. In this paper, we investigate the closed-loop recycling supply chain for retired power batteries in electric vehicle manufacturers, taking into account blockchain technology and the high range preferences in the electric vehicle market, which are influenced by varying demand for different levels of electric vehicle capacitance. Blockchain, as a distributed and decentralized technology, offers features such as consensus mechanisms, traceability, and security, which have been effectively applied across various fields. In this study, we construct four models involving EV battery manufacturers, EV retailers, and battery comprehensive utilization (BCU) enterprises participating in the recycling process. Through the analysis of a Stackelberg response model, we find that (1) single-channel recycling is less efficient than dual-channel recycling models, a difference driven by the diversity of recycling channels and the variability in recycling markets; (2) Recycling models incorporating blockchain technology demonstrate superior performance compared to those that do not utilize blockchain technology, particularly when the intensity of recycling competition is below 0.76; (3) Traction batteries integrated with blockchain technology exhibit higher recycling rates when the optimization index is below 0.96. Electric vehicle battery manufacturers must evaluate the benefits and costs of adopting blockchain technology; (4) With lower recycling incentive levels and EV range preferences, the single-channel recycling model yields better returns than the other three recycling models. EV manufacturers can enhance overall battery supply chain revenues by establishing varying incentive levels based on market demand for different capacitance levels.

Taste triggers a homeostatic temperature control in hungry flies.

Hungry animals consistently show a desire to obtain food. Even a brief sensory detection of food can trigger bursts of physiological and behavioral changes. However, the underlying mechanisms by which the sensation of food triggers the acute behavioral response remain elusive. We have previously shown in Drosophila that hunger drives a preference for low temperature. Because Drosophila is a small ectotherm, a preference for low temperature implies a low body temperature and a low metabolic rate. Here, we show that taste-sensing triggers a switch from a low to a high temperature preference in hungry flies. We show that taste stimulation by artificial sweeteners or optogenetics triggers an acute warm preference, but is not sufficient to reach the fed state. Instead, nutrient intake is required to reach the fed state. The data suggest that starvation recovery is controlled by two components: taste-evoked and nutrient-induced warm preferences, and that taste and nutrient quality play distinct roles in starvation recovery. Animals are motivated to eat based on time of day or hunger. We found that clock genes and hunger signals profoundly control the taste-evoked warm preferences. Thus, our data suggest that the taste-evoked response is one of the critical layers of regulatory mechanisms representing internal energy homeostasis and metabolism.

Taste triggers a homeostatic temperature control in hungry flies

Hungry animals consistently show a desire to obtain food. Even a brief sensory detection of food can trigger bursts of physiological and behavioral changes. However, the underlying mechanisms by which the sensation of food triggers the acute behavioral response remain elusive. We have previously shown in Drosophila that hunger drives a preference for low temperature. Because Drosophila is a small ectotherm, a preference for low temperature implies a low body temperature and a low metabolic rate. Here, we show that taste-sensing triggers a switch from a low to a high temperature preference in hungry flies. We show that taste stimulation by artificial sweeteners or optogenetics triggers an acute warm preference, but is not sufficient to reach the fed state. Instead, nutrient intake is required to reach the fed state. The data suggest that starvation recovery is controlled by two components: taste-evoked and nutrient-induced warm preferences, and that taste and nutrient quality play distinct roles in starvation recovery. Animals are motivated to eat based on time of day or hunger. We found that clock genes and hunger signals profoundly control the taste-evoked warm preferences. Thus, our data suggest that the taste-evoked response is one of the critical layers of regulatory mechanisms representing internal energy homeostasis and metabolism.

Reinforcement learning-based Tsunami evacuation guidance system

Congestion and crowding are critical issues during indoor and outdoor emergency evacuations. In the 2011 Great East Japan Earthquake and Tsunami, vehicle traffic was one of the causes of the event’s casualties. After this, vehicle evacuation in tsunami events is not advised in Japan. Then, pedestrian evacuation is expected to be the primary mode of mobility in emergencies. However, crowding and congestion may affect the evacuation time of individuals and the overall outcome of the process. In addition, narrow streets and a high preference for the shortest routes may worsen the situation. This study aims to find the best evacuation route for a target population, considering less congestion in the road network and increasing the chances of reaching safe areas on time. We propose using reinforcement learning to train an intelligent network of agents, placed at the intersections, in charge of the evacuation process to fully complying evacuee agents. The model rewards decisions that lead to successful evacuation, considering the dynamics of departure times and street congestion throughout the simulation. We demonstrate the applicability of reinforcement learning to guide tsunami evacuation in a simulation and test this against a non-guided case where evacuees move following the shortest paths. Results show that the reinforcement learning model yields better outcomes than evacuations following the shortest paths.

Biased signaling by mutant EGFR underlies dependence on PKCα in lung adenocarcinoma

Activating mutations in the epidermal growth factor receptor (EGFR) promote ligand-independent signaling; however, the mechanisms involved are poorly defined, and it is unknown whether this generates specific vulnerabilities. We previously observed robust expression of protein kinase Cα (PKCα) in lung adenocarcinoma (LUAD) with mutant EGFR (mEGFR), which, unlike the activation of PKCα, is independent of mEGFR activity. Here, we identify a critical role for PKCα in anchorage-independent growth and survival of lung cancer cells with mEGFR. Mechanistically, signaling pathways initiated by mEGFR show a high preference for ligand-independent phosphorylation on Y992, resulting in biased activation and dependence on phospholipase-Cγ and PKCα. Moreover, through bioinformatic approaches, we find that mEGFR LUAD demonstrates a transcriptomic profile most similar to lung basal cells, which exhibit elevated levels of PKCα, suggesting that mEGFR tumors arise in cell types with high intrinsic levels of PKCα. Taken together, these findings explain the dependence of mEGFR on PKCα.

Towards Age-Friendly Urban Spaces: Analyzing Elderly Facility Proximity Preference Needs in Dubai

This study addresses the critical challenge of optimizing spatial arrangements for the elderly in rapidly aging societies. It investigates the proximity preference preferences among nine types of facilities frequently used by senior citizens in Dubai. The research is set against demographic shifts and policy paradigms that are shifting towards aging-in-community, emphasizing the need for comprehensive urban planning tailored to the elderly. The study classified individuals aged 65 and above as seniors and surveyed 180 participants at Dubai’s Al Safa Park. Researchers analyzed the proximity preference, termed ‘adjacency,’ of facilities, including residential, rest, public, cultural, transportation, welfare, medical, commercial, and religious facilities. Data collection spanned nine days and employed cross-analysis and multidimensional scaling (MDS) to interpret the findings. The results revealed a high preference for proximity between residential spaces and parks, supermarkets, and bus stops, indicating a desire for accessible facilities. MDS analysis showed residential, rest, and transportation facilities were spatially closer, while religious facilities were distinct in location. Income levels significantly influenced facility proximity preferences, with high-income seniors preferring commercial facilities near residential areas but medical facilities farther away. This study highlights the importance of considering income levels in urban planning for the elderly. Recommendations include planning residential, transportation, and green spaces in proximity preference while acknowledging varying preferences for religious facilities. Future research should focus on diverse regions and consider individual circumstances. This study contributes to urban planning by providing insights into senior citizens’ spatial preferences, which is crucial for enhancing facility usage and satisfaction in aging societies.

Factors associated with communication preferences in transgender and/or gender-diverse individuals – a survey study

IntroductionAs communication should be adapted to the individual, the aim of this study was to explore possible factors related to communication preferences in transgender and/or gender-diverse individuals. MethodsA survey study was conducted in September 2022. Communication preferences were assessed using the CommTrans questionnaire, which included two scales: emotional resonance and gender-related communication. Additionally, we assessed gender, age, relationship status, number of self-reported minorities, health literacy, mental health, and own communication style. Analyses were conducted using multiple linear regression analyses. ResultsA total of 223 individuals completed the survey, of whom 139 (58.2 %) identified as non-binary. Participants valued emotional resonance moderately high (Mean.: 70.6; SD.: 19.5) and gender-related preferences in the middle range (Mean 57.4; SD.: 27.2). As regards emotional resonance, not identifying with a minority was associated with a lower importance of doctors’ response to patients emotions. Furthermore, having a self-confident communication style as a transgender and/or gender-diverse individual was related to a lower perceived importance in gender-related communication, while identifying as non-binary was related with a greater importance. ConclusionOur findings might help to expand doctors’ knowledge, and thus help them to provide patient-centered care for transgender and/or gender-diverse individuals.

Regioselective and Homochiral Supramolecular Polymerization of Nanotadpole Aggremers of Poly(phenylacetylene) Derivatives.

Biological homochirality is a signature of life. Supramolecular polymerization is effective to achieve high hierarchical homochirality in nature, but has not been well-explored. Herein, we report regioselective and homochiral supramolecular polymerization of chiral nanotadpole aggregates made of either synthetic helical poly(phenylacetylene)s or chirality-amplified co-assembly of chiral and achiral poly(phenylacetylene)s. The twisted nanotadpole aggregates with high screw-sense preference polymerized as monomers (aggremers) into supramolecular chains in a head-to-tail regioselective and stepwise manner. Supramolecular copolymerization of enantiomeric aggremers favored formation of homochiral hierarchical supramolecular structures as visualized by TEM. Chiral hexagonal columnar mesophase of aggremers was responsive for the stereoselectivity. The work opens a gate to controllably and effectively construct functional chiral supramolecular materials and deepens the understanding of hierarchical biological homochirality.

Why can Palhinhaea cernua (lycophyte) grow closer to fumaroles in highly acidic solfatara fields?

Palhinhaea cernua, a lycophyte, and Dicranopteris linearis, a fern, are commonly observed in solfatara fields in Kyushu, Japan, but their distribution trends are different. The aim of this study was to determine why P. cernua is more abundant in areas closer to fumaroles from both a soil and plant perspective. Samples of P. cernua and D. linearis, as well as their respective growing soils, were collected, and the mineral properties, including the concentration of various mineral elements and inorganic anions and δ15N, were determined. P. cernua was better adapted to soil with lower pH, higher soluble aluminum concentrations, and poorer calcium and phosphorus concentrations than D. linearis. A positive correlation was observed between shoot nitrogen concentration and both shoot sulfur concentration and soil water-soluble sulfur concentration in P. cernua, implying the involvement of sulfur in nitrogen acquisition in P. cernua. The results also suggested that D. linearis mainly uses soil NO3-N, while P. cernua uses NH4-N, which is predominant and excessive in the solfatara fields, particularly near the fumaroles. This high preference for NH4-N in P. cernua was confirmed through a cultivation experiment. While D. linearis prefers NO3-N and distributes further from fumaroles, P. cernua may have survived in the solfatara fields by utilizing NH4-N and sulfur, which are abundant near fumaroles where competition from other plant species is minimal.

To Share or Not? Hybrid e‐Commerce Platform's Provision and Sharing Strategies of Consumer Credit Service

ABSTRACTAs a new financial innovation, consumer credit services are increasingly embraced by e‐commerce platforms. This paper presents a stylized model to determine when an e‐commerce platform should launch credit services and whether to share them with third‐party sellers. Our findings indicate that the platform benefits from launching credit services only when consumer preference outweighs the delinquency rate. Furthermore, service sharing can create a win‐win scenario with moderate fees and high consumer preference. Contrary to common belief, sharing services with sellers can reduce consumer surplus, suggesting that widespread use of consumer credit services is not necessarily beneficial for consumers.

Assessment of different interpolation algorithms for daily rainfall spatial distribution in the Var catchment, France

AbstractTo have effective water resource management, the distributed hydrological models are commonly applied for supporting the decision‐making processes. Among different inputs, the spatial distributed rainfall plays significant role in those model simulations. Many interpolation methods have been developed for generating distributed rainfall based on measurement samples. However, depending on the catchment characteristics and data availability, the suitable interpolation algorithm is case‐dependent. This paper presents one operational approach for determining the resonable interpolation algorithm in a complex large catchment (Var catchment, France). Based on the daily rainfall data (2008–2014) collected from 16 stations in the Var catchment, six different interpolation approaches including: inverse distance weight (IDW), spline, kriging with linear and spherical semi‐variogram models and geographically weighted regression considering elevation effects and the combined impacts of elevation and distance to the sea were tested. Integrated the results of statistical and modeling assessments, the 400 m resolution distributed rainfall generated by IDW algorithm shows high preference in generating distributed rainfall in the Var catchment. Moreover, the strategy described in the article also shows promising acceptability for other catchments.

Knowledge State of Two Endemic Varieties of Dioscorea cayenensis-rotundata with Yellow Flesh ("Kounougbé" and "Kangba") Cultivated in the Gbêkê Region and the Level of Chemical Weeding Use

Background: Yam is the main staple food in Ivory Coast and plays a crucial role in food security. However, indigenous yellow-fleshed varieties of the Dioscorea cayenensis-rotundata species, such as "Kounougbé" and "Kangba" are gradually being abandoned in favor of modern varieties. Study Design: A study was conducted in the departments of Bouaké, Béoumi, Sakassou, and Botro, in the Gbêkê region, to assess the knowledge of these varieties, the preference for their tubers, and the use of chemical weeding. Results: The chi-square (χ²) test of independence showed that variables gender, age group, ethnic group and educational level influence significantly (P < 0.05) the knowledge level of "Kounougbé" and "Kangba" varieties. This knowledge level is relatively high in the different departments. The study revealed that uneducated people have better knowledge (83.97%) of these varieties. It also indicated that people aged at least 55 years old have a very good knowledge of these varieties. Moreover, the survey revealed that the natives are more familiar with "Kounougbé" and "Kangba" varieties with a rate of 92.68%. Concerning the characteristics preference for said varieties tubers and chemical weeding use, they impact meaningfully (P < 0.05) the age group variable. People at least 55 years old have the highest preference and use of chemical weeding levels with respective rates of 98.61% and 41.46%. Conclusion: This study constitutes a source of basic data which would contribute to the revaluation of endemic varieties of yellow-fleshed yam.

The Intra-Meatal Application of Tadalafil Cream Versus Oral Administration Efficacy and Safety: Results from a Randomized, Two-Administration Route, Cross-Over Clinical Trial.

Background: Tadalafil cream, a topically administered phosphodiesterase-5 inhibitor (PDE5), presents a potential alternative to oral PDE5 inhibitors like tadalafil for the treatment of erectile dysfunction (ED). This study evaluates the non-inferiority and potential superiority of tadalafil cream compared to oral tadalafil. Methods: This randomized controlled trial employed a cross-over design with two treatment periods of two weeks each, separated by a one-week washout phase. Thirty-five male participants aged 18-75 with diagnosed ED (International Index of Erectile Function-Erectile function: IIEF-EF score < 26) were randomized to receive either tadalafil cream or oral tadalafil. Tadalafil cream was applied topically, while tadalafil was taken orally. The primary endpoint was IIEF-EF, and secondary endpoints were measured using the International Index of Erectile Function (IIEF) domain scores. Adverse events and treatment preferences were also assessed. Results: Tadalafil cream showed a higher increase in sexual function across all IIEF domains compared to oral tadalafil. The lower bounds of the confidence interval [improvement: final-baseline scores between tadalafil cream and oral tadalafil 0.72 (95% CI -2.72-4.15)] were above the non-inferiority margin of -3.22, confirming tadalafil cream's non-inferiority in the erectile function domain. In the intercourse satisfaction domain, tadalafil cream was superior to oral tadalafil. At the end of the trial, 88.57% of participants preferred tadalafil cream (95% CI 73.26%-96.79%), a result significantly above the non-inferiority margin that indicated superiority (p < 0.001). No systemic adverse events were reported for tadalafil cream, and significant differences in dizziness, headache, nasal congestion, and erythema were observed between the two treatments. Conclusions: Tadalafil cream is a safe and effective treatment for erectile dysfunction, demonstrating non-inferiority and potential superiority over oral tadalafil, with a high patient preference. Its topical administration offers a promising alternative for patients, particularly those with cardiovascular diseases where oral PDE5 inhibitors are contraindicated or less well tolerated.

Liking for Sweet Taste, Sweet Food Intakes, and Sugar Intakes.

Sweet taste preferences are currently targeted to aid with reducing free sugar intakes, but associations between sweet taste liking, sweet food intakes, and sugar intakes are not well established. UK consumers (n = 179) who were consuming >5% of total energy intakes from free sugars provided several laboratory measures of sweet taste liking, laboratory test meal measures of sweet food choice and sugar intakes, and 3-day food diary measures of free-living free sugar and total sugar intakes. Liking measures included liking for a 1 M sucrose solution, and pleasantness, desire to eat, and sweet taste intensity ratings for seven foods of a range of sweet taste intensities in a taste test. Wide individual differences in sweet taste liking, in liking for a high sweet taste intensity, and in the relationships between sweet taste intensity and sweet taste liking were found. The majority of participants confirmed high liking and increasing liking for increasingly sweet tastes, but differing patterns of responses were also found. Higher liking for sweet foods was associated with increased sweet food selection and consumption at the test meal, and to some degree with free sugar and total sugar consumption in this restricted scenario. However, we found no associations between sweet taste liking, regardless of measure, and either free-living free sugar or total sugar intakes. These findings cast doubt on assumptions that sweet taste preferences are high for all and that these high sweet taste preferences drive high free sugar intakes.

Changes in food valence of regular diet depending on the experience of high and low preference food.

Eating disorders represent an aspect of mental illness involving failure to control eating behaviors. Food valence plays a regulatory role in eating behaviors and changes with eating experiences. Failure to control food valence may be associated with eating disorders. This study presents a newly developed behavior task-food reservation task, which assesses changes in food valence. Over three consecutive days, mice were fed a regular diet for 30 min and subsequently were offered either palatable or low-palatable foods for 30 min. Mice decreased regular diet consumption on the days that it was followed by a palatable food-sweet chocolate (SC) or cheese (CH) and increased it when it was followed by a low-palatable food-bitter (dark) chocolate (BC). Our findings indicate that mice can change regular diet consumption by learning whether it will be followed by a palatable or low-palatable food. This suggests that palatable food devaluated the food valence of regular diet, whereas low-palatable food evaluatedit. We developed a new food reservation task, which allows to assess experience-dependent change in the food valence of a regular diet. This task will contribute to a better understanding of the neural mechanisms underlying those changes.

Dissecting the lottery‐like anomaly: Evidence from China

AbstractThis paper dissects the lottery‐like anomaly in Chinese A‐share stocks by decomposing total stock returns into overnight and intraday returns. Our findings indicate that negative overnight returns are concentrated among lottery‐like stocks, and the lottery‐like anomaly is primarily driven by the overnight return component. Considering the unique institutional features of China, we further show that the lottery‐like anomaly induced by overnight returns is more pronounced in stocks with a high gambling preference among retail investors and high limits of arbitrage. Overall, our results suggest that investors' optimism and trading constraints have a substantial impact on market efficiency in China.

Stochastic Character Mapping, Bayesian Model Selection, and Biosynthetic Pathways Shed New Light on the Evolution of Habitat Preference in Cyanobacteria.

Cyanobacteria are the only prokaryotes to have evolved oxygenic photosynthesis paving the way for complex life. Studying the evolution and ecological niche of cyanobacteria and their ancestors is crucial for understanding the intricate dynamics of biosphere evolution. These organisms frequently deal with environmental stressors such as salinity and drought, and they employ compatible solutes as a mechanism to cope with these challenges. Compatible solutes are small molecules that help maintain cellular osmotic balance in high-salinity environments, such as marine waters. Their production plays a crucial role in salt tolerance, which, in turn, influences habitat preference. Among the 5 known compatible solutes produced by cyanobacteria (sucrose, trehalose, glucosylglycerol, glucosylglycerate, and glycine betaine), their synthesis varies between individual strains. In this study, we work in a Bayesian stochastic mapping framework, integrating multiple sources of information about compatible solute biosynthesis in order to predict the ancestral habitat preference of Cyanobacteria. Through extensive model selection analyses and statistical tests for correlation, we identify glucosylglycerol and glucosylglycerate as the most significantly correlated with habitat preference, while trehalose exhibits the weakest correlation. Additionally, glucosylglycerol, glucosylglycerate, and glycine betaine show high loss/gain rate ratios, indicating their potential role in adaptability, while sucrose and trehalose are less likely to be lost due to their additional cellular functions. Contrary to previous findings, our analyses predict that the last common ancestor of Cyanobacteria (living at around 3180 Ma) had a 97% probability of a high salinity habitat preference and was likely able to synthesize glucosylglycerol and glucosylglycerate. Nevertheless, cyanobacteria likely colonized low-salinity environments shortly after their origin, with an 89% probability of the first cyanobacterium with low-salinity habitat preference arising prior to the Great Oxygenation Event (2460 Ma). Stochastic mapping analyses provide evidence of cyanobacteria inhabiting early marine habitats, aiding in the interpretation of the geological record. Our age estimate of ~2590 Ma for the divergence of 2 major cyanobacterial clades (Macro- and Microcyanobacteria) suggests that these were likely significant contributors to primary productivity in marine habitats in the lead-up to the Great Oxygenation Event, and thus played a pivotal role in triggering the sudden increase in atmospheric oxygen.

Exploring the interplay of urban form and greenery in residents’ affective and cognitive responses

Stress is a prevalent issue in modern cities, exacerbated by urban development and significantly affecting urban dwellers. While it is known that greenery can contribute to people’s wellbeing, it is unclear if it can mitigate the negative effects of urban development. In this study, we aim to explore the intricate dynamics between urban form and greenery to dissect their collective effect on human wellbeing, operationalized through physiological relaxation, preference, and emotional responses. The study employs an experimental study design using virtual reality technology to immerse participants (n=156) into residential neighborhood scenes, and measures affective and cognitive responses using skin conductance measures and a survey, respectively. In general, the findings confirm the critical role of urban greenery on affective and cognitive responses. Interestingly, we observe that this effect is highly dependent on the context and shows diverging patterns between different neighborhood types. In particular, in certain neighborhoods (popular, 60 s, and cooperative), greenery, no matter if species-poor or biodiverse, consistently improves preference and physiological relaxation. In contrast, urban centers and single-family residential areas may accommodate more biodiverse green spaces without compromising their existing high preference levels when compared to less affluent neighborhoods. The study concludes with a call for urban planning to cultivate equitable, green, and distinctively designed urban environments. This shift underscores the critical role of innovative urban design in improving the wellbeing of urban dwellers.