Ideal Size Research Articles

Redox-responsive hyaluronic acid-celastrol prodrug micelles with glycyrrhetinic acid co-delivery for tumor combination therapy

Combining cytotoxic drugs with tumor microenvironment (TME) modulator agents is an effective strategy to enhance anti-tumor effects. In this study, two natural anti-tumor active ingredients celastrol (CEL) and glycyrrhetinic acid (GA) were combined for tumor treatment. In order to ensure the precise co-delivery and controllable synchronous release of combined drugs to tumors, it is necessary to construct a suitable nano-drug delivery platform. Based on this, we coupled hyaluronic acid (HA) with CEL by amide reaction to obtain an amphiphilic polymer prodrug HA-SS-CEL, and GA was spontaneously loaded into polymer micelles by self-assembly to obtain G/HSSC-M. G/HSSC-M has ideal size distribution, redox-responsive synchronous drug release, enhanced tumor cell internalization and in vivo tumor targeting. Compared with free drugs, the construction of multifunctional polymer micelles makes G/HSSC-M show better anticancer effect at the same concentration, and can significantly inhibit the proliferation and migration of HepG2 and 4T1 cells. In the in vivo experiments, G/HSSC-M inhibited tumor as high as 75.12% in H22 tumor-bearing mice. The mechanism included regulation of M1/M2 macrophage polarization, inhibition of Janus kinase 1/signal transducer and activator of transcription 3 (JAK1/STAT3) signaling pathway, and remodeling of tumor blood vessels. Therefore, the development of prodrug micelles co-loaded with CEL and GA provides a promising drug co-delivery strategy for combined cancer therapy.

Multistage Nanocarrier Based on an Oil Core-Graphene Oxide Shell.

Potent synthetic drugs, as well as biomolecules extracted from plants, have been investigated for their selectivity toward cancer cells. The main limitation in cancer treatment is the ability to bring such molecules within each single cancer cell, which requires accumulation in the peritumoral region followed by homogeneous spreading within the entire tissue. In the last decades, nanotechnology has emerged as a powerful tool due to its ability to protect the drug during blood circulation and allow enhanced accumulation around the leaky regions of the tumor vasculature. However, the ideal size for accumulation of around 100 nm is too large for effective penetration into the dense collagen matrix. Therefore, we propose a multistage system based on graphene oxide nanosheet-based quantum dots (GOQDs) with dimensions that are 12 nm, functionalized with hyaluronic acid (GOQDs-HA), and deposited using the layer-by-layer technique onto an oil-in-water nanoemulsion (O/W NE) template that is around 100 nm in size, previously stabilized by a biodegradable polymer, chitosan. The choice of a biodegradable core for the nanocarrier is to degrade once inside the tumor, thus promoting the release of smaller compounds, GOQDs-HA, carrying the adsorbed anticancer compound, which in this work is represented by curcumin as a model bioactive anticancer molecule. Additionally, modification with HA aims to promote active targeting of stromal and cancer cells. Cell uptake experiments and preliminary penetration experiments in three-dimensional microtissues were performed to assess the proposed multistage nanocarrier.

Ideals and realities: Chinese singleton daughters negotiating family size preferences and migrant motherhood in Spain

ABSTRACT Chinese young women’s fertility choices have attracted growing interest in the last years, however, the effects of women’s singleton status and transnational motherhood experience on their fertility behaviours remain understudied. Using 12 qualitative interviews with Chinese migrant mothers in Spain, we firstly examine how women’s family size preferences are constructed by their singleton status associated with changing gender norms and strong normative expectations of future family caregiving obligations; secondly, we explore the challenges faced by participants towards realizing their fertility expectations in transnational spaces from a gendered perspective. We find that although singleton status can contribute to women’s larger ideal family size, their gendered roles as only-daughters and migrant mothers increase care responsibilities, which negatively influence their childbearing decisions. By situating singleton daughters’ experiences within a broader institutional and sociocultural context, our study offers a unique opportunity to examine how changing gender norms, care, and responsibility structure fertility norms of one generation at the micro level.

Performance optimization and comparative study of a conical solar distiller with optimized construction of aluminium balls as energy storage materials

This study seeks to find the ideal size of aluminum balls to improve the effectiveness of conical solar stills for storing energy, due to the increasing demand for drinking water and the high costs of getting portable drinking water. To achieve this, three comparable conical solar distillers were made using aluminum balls of various diameters (1 cm, 1.5 cm, 2 cm, and 2.5 cm) at a 4 cm center spacing. Two days were spent on the experiments. The first distiller had no metal balls on the first day, whereas the second and third had 41 1 cm and 1.5 cm aluminum balls uniformly dispersed at the bottom. On the second day, the first distiller had no metal balls, but the second and third had 41 2 cm and 2.5 cm balls. The water basin depth was consistently maintained at 2.5 cm. The results revealed that the distiller with 2 cm diameter aluminum balls achieved the highest productivity, yielding 840 mL/m2, compared to the distillers with aluminum balls of 1 cm, 1.5 cm, and 2.5 cm diameter, as well as the conventional distiller without any storage materials, which yielded 645 mL/m2, 695 mL/m2, 755 mL/m2, and 570 mL/m2, respectively. The ideal diameter for the aluminum balls was found to be 2 cm, leading to a significant 47.37 % enhancement in water productivity. Conical solar stills using 2 cm diameter aluminum balls as an economical energy storage material provide the best answer.

Prostate Artery Embolization (PAE) with Small Beads for the Treatment of Benign Prostatic Hyperplasia (BPH).

Benign Prostatic Hyperplasia (BPH) is the most frequent cause of Lower Urinary Tract Symptoms (LUTSs) in elderly populations. Minimally invasive treatments of BPH are safe and effective and are gaining popularity among both professionals and patients. Prostate Artery Embolization (PAE) has proven to be effective in Trans-Urethral Resection of the Prostate (TURP) in terms of prostate volume reduction and LUTS relief. PAE entails the selective catheterization of the prostatic artery and later embolization of distal vessels with beads of various calibers. Universal consensus regarding the ideal particle size is yet to be defined. We retrospectively evaluated 24 consecutive patients (median age: 75 years; range: 59-86 years) treated with PAE at our institution from October 2015 to November 2022. Particles of different sizes were employed; 12 patients were treated with 40-120 µm particles, 5 with 100 µm, 5 with 100-300 µm and 2 with 250 µm. Technical success, defined as selective prostate artery catheterization and controlled release of embolizing beads, was achieved in all patients. Removal vs. retention of the urinary catheter at the first post-procedural urological visit was the main clinical objective. No major peri-procedural complications were recorded, with 56% of patients successfully removing the urinary catheter.

Body Dissatisfaction among Young Girls in Recreational Rhythmic Gymnastics.

Body dissatisfaction is commonly associated with rhythmic gymnastics (RG) practice, but limited research exists on the prevalence of this issue among recreational level practitioners. This study examines body image dissatisfaction among young girls practicing RG recreationally. A total of 88 girls between six and eleven years of age, who participate in RG as an extracurricular activity, were measured and completed the Stunkard pictogram. To create a control group, 88 girls who did not practice RG were also recruited and matched to the gymnasts by age. Results revealed that the mean body mass index values in both groups were within the normal weight range. The mean score for body dissatisfaction was similar between the two groups, with slightly positive values (RG = 0.94; CG = 1.06). The Mann-Whitney U test showed that there was no significant difference in the ratings of actual body size, ideal body size, and body dissatisfaction between the RG and control groups. These findings suggest that practicing RG at a young age is not associated with body dissatisfaction among girls.

Quantifying Visual Differences in Drought-Stressed Maize through Reflectance and Data-Driven Analysis

Environmental factors, such as drought stress, significantly impact maize growth and productivity worldwide. To improve yield and quality, effective strategies for early detection and mitigation of drought stress in maize are essential. This paper presents a detailed analysis of three imaging trials conducted to detect drought stress in maize plants using an existing, custom-developed, low-cost, high-throughput phenotyping platform. A pipeline is proposed for early detection of water stress in maize plants using a Vision Transformer classifier and analysis of distributions of near-infrared (NIR) reflectance from the plants. A classification accuracy of 85% was achieved in one of our trials, using hold-out trials for testing. Suitable regions on the plant that are more sensitive to drought stress were explored, and it was shown that the region surrounding the youngest expanding leaf (YEL) and the stem can be used as a more consistent alternative to analysis involving just the YEL. Experiments in search of an ideal window size showed that small bounding boxes surrounding the YEL and the stem area of the plant perform better in separating drought-stressed and well-watered plants than larger window sizes enclosing most of the plant. The results presented in this work show good separation between well-watered and drought-stressed categories for two out of the three imaging trials, both in terms of classification accuracy from data-driven features as well as through analysis of histograms of NIR reflectance.

Body Weight Perceptions Among Youth From 6 Countries and Associations With Social Media Use: Findings From the International Food Policy Study

BackgroundBody dissatisfaction is associated with poor psychological and physical health, particularly among young people. However, limited data exist on body size perceptions across countries and factors associated with dissatisfaction. ObjectiveThis study examined dissatisfaction prevalence and associations with sociodemographics and social media use among youth in 6 countries. DesignRepeat cross-sectional national online surveys were conducted as part of the 2019 and 2020 International Food Policy Study Youth Survey. ParticipantsThe sample included 21 277 youth aged 10 to 17 years from Australia, Canada, Chile, Mexico, the United Kingdom, and the United States. Youth were recruited to complete the online survey through parents/guardians enrolled in the Nielsen Consumer Insights Global Panel and their partners’ panels. Main outcome measuresFigural drawing scales assessed self-perceived and ideal body images, with differences between scales representing body dissatisfaction. Statistical analyses performedMultinomial logistic regression models examined differences in body dissatisfaction by country, and associations with sociodemographics and either social media screen time or platforms used, including 2-way interactions with country. ResultsOverall, approximately 45% of youth reported the same perceived and ideal body sizes, whereas 35% were “larger than ideal” (from 33% in Canada and Australia to 42% in Chile) and 20% were “thinner than ideal” (from 15% in Chile to 22% in Mexico). Greater social media screen time was associated with a higher likelihood of moderate-severe dissatisfaction for being “thinner than ideal” and at least mild dissatisfaction for being “larger than ideal” (P < .003 for all contrasts), with greater dissatisfaction among users of YouTube and Snapchat than nonusers (P ≤ .005 for both contrasts). Modest differences in body dissatisfaction between countries were observed for age, ethnicity, body mass index, and weight-based teasing. ConclusionsBody dissatisfaction is prevalent among youth across diverse countries. These findings highlight the need to promote healthy body image in youth, particularly among social media users.

Ultrasonic Coating of Poly(D,L-lactic acid)/Poly(lactic-co-glycolic acid) Electrospun Fibers with ZnO Nanoparticles to Increase Angiogenesis in the CAM Assay.

Critical-size bone defects necessitate bone void fillers that should be integrated well and be easily vascularized. One viable option is to use a biocompatible synthetic polymer and sonocoat it with zinc oxide (ZnO) nanoparticles (NPs). However, the ideal NP concentration and size must be assessed because a high dose of ZnO NPs may be toxic. Electrospun PDLLA/PLGA scaffolds were produced with different concentrations (0.5 or 1.0 s of sonocoating) and sizes of ZnO NPs (25 nm and 70 nm). They were characterized by SEM, EDX, ICP-OES, and the water contact angle. Vascularization and integration into the surrounding tissue were assessed with the CAM assay in the living chicken embryo. SEM, EDX, and ICP-OES confirmed the presence of ZnO NPs on polymer fibers. Sonocoated ZnO NPs lowered the WCA compared with the control. Smaller NPs were more pro-angiogenic exhibiting a higher vessel density than the larger NPs. At a lower concentration, less but larger vessels were visible in an environment with a lower cell density. Hence, the favored combination of smaller ZnO NPs at a lower concentration sonocoated on PDLLA/PLGA electrospun meshes leads to an advanced state of tissue integration and vascularization, providing a valuable synthetic bone graft to be used in clinics in the future.

Breadth of substance use is associated with the selection of a larger food portion size via elevated impulsivity

Substance use is associated with altered or elevated food consumption and disordered eating. In the present study we examined whether breadth (variety) of drug use was associated with elevated portion size in a general population sample as it was in persons in recovery from substance use disorder. Furthermore, measures of emotional eating, impulsivity, food misuse, food craving were taken as possible mediators and reward responsiveness was examined as a potential moderator of this association. 444 adults (48.6 % women, mean age of 47.8 years) completed an online study in which they were asked to make judgements of ideal portion size for 6 different foods using a validated online tool that allowed participants to adjust the portion size of images of foods. Ideal portion size has been identified as a strong predictor of actual consumption. Participants were also asked to report the number of substances used in the past and provide anthropometric information. The results confirmed that breadth of drug use was associated with selection of higher portion size. Reward responsiveness was not a moderator of this relationship. Of the tested mediators, only impulsivity mediated the association between breadth of drug use and portion size. The results show that impulsivity may underlie the association between eating and substance use.

Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment of blast-induced rock size distribution

Blasting operations in surface mines have the primary purpose of fragmenting the rock mass into a size that is optimal and economically viable for the mine. This ideal size has an impact on every step of the mining operation, from loading and hauling through crushing and grinding. To put it another way, the economics of the mine or facility as a whole are significantly impacted by having the ideal size distribution. This research offers a causality-based rock engineering system (RES) for risk assessment and prediction of rock fragmentation generated by blasting in surface mines. The fuzzy cognitive map was utilized in the proposed approach in order to weight the RES in accordance with the reliability information provided by the Z-number theory. This model of the RES that is weighted according to causality and based on reliability is abbreviated as causality-weighted rock engineering system based on reliability (CWRESR). The construction of the model makes use of a database that was obtained from the Sarcheshmeh copper mine. The findings indicated that the overall risk level of fragmentation was somewhere between high and very high, with a vulnerability index (VI) of 69.73 cm. As a result, controlled blasting operations are strongly advised as a means of lowering the amount of risk. In addition, the suggested model was able to predict rock fragmentation with a coefficient of determination (R2) of 0.9462 and 9646 for the training and testing phase, respectively, demonstrating that the CWRESR model is superior to other models in its ability to predict rock fragmentation.

Enhancing Electrical Distribution System Efficiency: A Software Tool Design for Conductor Cross-Section Optimization With TLBO Algorithm

In radial distribution networks with many separate branches and sections, it is very difficult to calculate the optimum conductor cross-section. This work introduces a new tool for optimizing conductor cross-sectional area in electrical distribution systems by utilizing the Teaching-Learning-Based Optimization (TLBO) algorithm. The tool can optimize the conductor crossection of the multisection, branching distribution systems. The maximum current carrying capacity constraint is taken into consideration when formulating the objective function to choose the ideal conductor size for each network segment. The optimal conductor sizes are determined by both desired percent voltage drop and current carrying capacity of the conductor. By calculating the currents drawn from the line segments in advance, the search space of the optimization algorithm is narrowed. MATLAB and Excel were used to determine the ideal conductor size. The conductor, which is chosen using the suggested method, will preserve appropriate voltage levels in radial distribution systems while optimizing the overall savings in conducting material and energy loss costs. The outcomes show that the optimal selection of conductor problem can be solved by the TLBO algorithm in a practical and effective manner. Results of testing the suggested tool on a radial distribution system are noteworthy.

Board Size and Firm Performance: The Moderating Role of Female Representation

This research aims to investigate the commissioner’s number of boards on the Indonesian go-public company’s performance. The disparity in types of gender begs the question of whether the applicability of women’s governance may lead to firm performance. So, the women's presence on that effect as the moderating factor is also examined and analyzed using panel data regression and ordinary least squares in this research. The study's samples are non-financial firms from 2015 until 2019, with 1210 observations. The commissioner's number of boards significantly affects Tobin's q and the market-to-book value ratio as the business performance measurement. Yet, the women’s board of commissioner’s proportion as the moderating factor did not affect the relationship between the commissioner's number of boards and the Indonesian go-public company's performance because of the small number of women on the board. It remains negligible since the dominant gender in the board of commissioners is men in Indonesian non-financial go-public companies, so the women directors may not improve the company’s performance. This study will help various businesses in various sectors by shedding light on the ideal board size for boosting productivity. It also acknowledges the significance of gender diversity on boards so that companies may make educated decisions about their boards' makeup and governance procedures. Given that women make up the minority of CEOs, policymakers will utilize these findings to create rules and directives that support gender diversity on boards and enhance business performance.

Shifting goalposts: widening discrepancies between girls' actual and ideal bodies predict disordered eating from preadolescence to adulthood.

Little is known regarding how disordered eating (DE) relates to perceived actual body size, ideal body size, and their discrepancy. This study examined changes in perceived actual body size, ideal body size, and actual-ideal discrepancies over time, and their relationship with subsequent DE. Participants were 759 female twins from the Minnesota Twin Family Study who reported on body image and DE every three to five years between approximately ages 11 to 29. We used multilevel modeling to examine developmental trajectories of body mass index (BMI) and Body Rating Scale Actual, Ideal, and Actual-Ideal discrepancy scores and compared the degree to which BMI, BRS body size perceptions, and body dissatisfaction predicted DE behaviors and attitudes over time. Participants were treated as singletons in analyses. Perceived Actual body sizes and BMIs increased from age 10 to 33, whereas Ideal body sizes remained largely stable across time, resulting in growing Actual-Ideal discrepancies. Body size perceptions and Actual-Ideal discrepancies predicted subsequent DE behaviors and attitudes more strongly than did body dissatisfaction as measured by self-report questionnaires. This research advances understanding of how female body size perceptions and ideals change across development and highlights their relationship with subsequent DE.

Inhibitory control mediates the effect of high intensity interval exercise on food choice

Exercise is associated with changes in food consumption and cognitive function. The aim of this study was to examine the immediate effects of acute exercise on appetite, food choices, and cognitive processes, and the mediating role of cognitive functioning, namely inhibitory control, working memory, cognitive flexibility and decision making. We compared the effects of high-intensity interval exercise (HIIE) to a resting condition on appetite and food choices, using visual analogue rating scales and a computerised portion selection task. Mediation analysis was performed with exercise/rest condition as a predictor variable and cognitive measures were entered as mediating variables and food choice measures as outcomes. Young women with low activity levels, aged between 18 and 35 years with a body mass index (BMI) between 18 and 25 kg/m², were recruited. Participants (n = 30) demonstrated improved performance on a Stroop task following HIIE compared to the rest session, indicating enhanced attentional inhibition. Accuracy on an N-back task was significantly higher after HIIE, indicating an improvement in working memory and response times on the N-back task were shorter after HIIE, suggesting increased processing speed. Delay discounting for food (but not money) was reduced after HIEE but there were no significant effects on go/no-go task performance. On the trail-making task (a measure of cognitive flexibility), the time difference between trail B and A was significantly lower after HIIE, compared to rest. HIIE reduced rated enjoyment and ideal portion size selection for high energy dense foods. The relationship between exercise and food choices was mediated by inhibition as assessed by the Stoop task. These results suggest that HIIE leads to cognitive benefits and a reduced preference for high-calorie foods and that an enhancement of attentional inhibition may underlie this relationship.

Intelligent Learning-Based Methods for Determining the Ideal Team Size in Agile Practices.

One of the significant challenges in scaling agile software development is organizing software development teams to ensure effective communication among members while equipping them with the capabilities to deliver business value independently. A formal approach to address this challenge involves modeling it as an optimization problem: given a professional staff, how can they be organized to optimize the number of communication channels, considering both intra-team and inter-team channels? In this article, we propose applying a set of bio-inspired algorithms to solve this problem. We introduce an enhancement that incorporates ensemble learning into the resolution process to achieve nearly optimal results. Ensemble learning integrates multiple machine-learning strategies with diverse characteristics to boost optimizer performance. Furthermore, the studied metaheuristics offer an excellent opportunity to explore their linear convergence, contingent on the exploration and exploitation phases. The results produce more precise definitions for team sizes, aligning with industry standards. Our approach demonstrates superior performance compared to the traditional versions of these algorithms.

Investigating the Influence of Varied Particle Sizes on the Load-Bearing Properties of Arrester Bed Aggregates.

This study employs the discrete element method to investigate the influence of particle size on the load-bearing characteristics of aggregates, with a specific emphasis on the aggregates used in escape ramp arrester beds. This study utilises the log edge detection algorithm to introduce an innovative approach for modelling irregularly shaped pebbles, integrating their physical properties into a comprehensive discrete element model to enhance the accuracy and applicability of simulations involving such pebbles. Meticulous validation and parameter calibration (friction coefficient: 0.37, maximum RMSE: 3.43) confirm the accuracy of the simulations and facilitate an in-depth examination of the mechanical interactions between aggregate particles at macroscopic and microscopic scales. The findings reveal a significant relationship between the particle size and load-bearing capacity of aggregates. Smaller pebbles, which are more flexible under pressure, can be packed more densely, thereby improving the distribution of vertical forces and increasing the concentration of local stress. This enhancement substantially increases the overall load-bearing capacity of aggregates. These discoveries hold significant implications for engineering practices, particularly in the optimisation of safety for truck escape ramps and in identifying the ideal sizes of pebbles with irregular shapes.

Maximum span determination and optimal sizing of cable for improved performance of droop-controlled DC microgrid

DC microgrids are seen as smart solutions to interface DC loads and distributed energy resources (DERs). However, in DC microgrids, the placement of sources and loads as well as the size of cable impact the system’s span, regulation of voltage, and losses. This paper proposes novel algorithms to determine the maximum span and optimal size of cable for the improved performance of a droop-controlled DC microgrid. The proposed algorithms utilize an improved power flow analysis (IPFA) method based on Newton-Raphson technique to determine the maximum span and the optimal size of cable, enhancing the voltage regulation and reducing the cost. Additionally, the impacts of power rating, droop constants, and size of cable on the DC microgrid’s maximum span are investigated and reported. Owing to the intricate nature of the problem concerning the ideal size of cable for the droop-controlled DC microgrid, a heuristic optimization approach is employed. Further to enhance the rate of convergence and computational performance, an improved particle swarm optimization (IPSO) is also proposed. The constraint of keeping the bus voltage variations below the allowable voltage regulation limits is applied to the objective function of the optimization problem. In the case of a droop-controlled, DC microgrid having a specified configuration, the suggested algorithm can determine the ideal size of cable, guaranteeing both the least cost and enhanced voltage regulation. Comprehensive numerical and modelling results have been presented for a droop-controlled DC microgrid with different loads and DERs to verify the effectiveness of the proposed methods. Furthermore, the analysis reveals that configuration III of the DC microgrid with an optimal cable size of 19 mm2 lowers the absolute voltage regulation to as low as 1.06 V. The results of the detailed analysis validate the enhanced performance of the proposed algorithms and are highly useful to both system designers and consumers of the DC microgrids, eventually paving the way for the widespread use of DC microgrids in the future.

Synergistic Activity of Noble Trimetallic Nanofluids: Unveiling Unprecedented Antimicrobial Potential and Computational Insights.

Nanofluids hold significant promise in diverse applications, particularly in biomedicine, where noble trimetallic nanofluids outperformed their monometallic counterparts. The composition, morphology, and size of these nanofluids play pivotal roles in their functionality. Controlled synthesis methods have garnered attention, focusing on precise morphology, content, biocompatibility, and versatile chemistry. Understanding how reaction parameters such as time, reducing agents, stabilizers, precursor concentration, temperature, and pH affect size and shape during synthesis is crucial. Trimetallic nanofluids, with their ideal composition, size, surface structure, and synergistic properties, are gaining traction in antimicrobial applications. These nanofluids were tested against seven microorganisms, demonstrating a heightened antimicrobial efficacy. Computational analyses, including molecular docking, dynamics, density functional theory (DFT), molecular electrostatic potential (MESP) analysis, and absorption, distribution, metabolism, elimination, and toxicology studies (ADMET) provided insights into binding interactions, energy, reactivity, and safety profiles, affirming the antimicrobial potential of trimetallic nanofluids. These findings emphasize the importance of controlled synthesis and computational validation in harnessing the unique properties of trimetallic nanofluids for biomedical applications.

Environmental Design on Site-Specific Energy Solidary Communities around Public High Schools in the Metropolitan Area of Naples (Italy)

Renewable energy communities (RECs) around photovoltaic systems on public buildings are optimal solutions to counter energy poverty, ensuring all stakeholders access to cheap, reliable, sustainable, and modern energy systems. As the neighborhood is the minimum suitable unit for the implementation of highly sustainable settlements, this article discusses the potential and criticality of RECs at this scale in southern Italy. Starting with the concept of RECs, this study presents a methodology to size sustainable urban communities around school buildings. It integrates practical energy indicators with those defining performance in vegetation and water management. The impact of these factors is analyzed to identify the ideal community size in terms of energy efficiency, economic value, and social cohesion. An interactive scorecard ranks high school sites suitable for transformation into community hubs, taking into consideration the scale of substation distribution. The findings provide empirically validated operational guidelines and best practices to support the transition to smart, efficient, and socially inclusive communities. At the urban scale, the analysis evaluates different urban morphologies, microclimates, characteristics and density of buildings, and population around each assumed community hub. The study provides valuable guidance to local designers, planners, and administrators for the implementation of sustainable technologies by preparing a map of potential RECs.