Rapid Growth Research Articles

Reconfigurable dual-mode meta-waveguide

With the rapid growth of information flux, integrating more channels in limited spaces has been a critical requirement for highly-integrated long-range parallel transmissions. Although meta-waveguides, such as spoof surface plasmon polariton (SSPP) waveguides, can suppress crosstalk between adjacent channels, it is still urgent to seek new methods to further increase the number of channels without occupying additional space. Here, we propose a reconfigurable dual-mode meta-waveguide (RDMMW) by integrating diodes into meta-units, which supports two independent channels using two orthogonal modes. The RDMMW can be switched among dual-mode, even-mode, odd-mode and cutoff states by controlling the diodes, which provides more freedom to manipulate the channel features. The RDMMW possess two outstanding merits in highly-integrated long-range parallel transmissions, including lower coupling between two channels than conventional single-mode waveguides and constant mode coupling in longer waveguides. Thus the proposed RDMMW has advantages of multi-mode, reconfiguration, low coupling and high integration density, providing a new avenue to realize highly-integrated multi-functional systems.

Determinants of malnutrition among adolescent females of age 15–19 years in an urban slum of Raipur city

ABSTRACT Context: Adolescent girls suffer the brunt of malnutrition due to increased nutritional needs to facilitate rapid growth spurt including menstruation and increased physical activity. This vulnerable group has low social power and is subjected to peer and social pressures related to body image and weight. All these factors along with the sociocultural milieu may lead to a spectrum of nutritional problems in them. Aims: To determine factors associated with malnourishment among adolescent females of age 15–19 years in an urban slum of Raipur City. Settings and Design: The study setting was the urban field practice area of the institute in Raipur. The study was an analytical cross-sectional study done from January 2022 to June 2023 among 401 adolescent girls of age 15–19 years. Methods and Material: The sampling was done using the consecutive sampling method. The study tools used were a semi-structured questionnaire on sociodemographic variables and details of the respondents, anthropometric measurements, dietary assessment using the 24-hour food recall method, and food consumption patterns using a food frequency questionnaire. Statistical Analysis Used: The Chi-square test of significance was applied to find the association between malnourishment with the input variables. For calculating the strength of the association, the odds ratio was estimated for those variables with P value < 0.2 in the Chi-square test, and later the odds ratio was adjusted for confounding with the same variables, using multivariable logistic regression. Results: According to BMI-for-age Z scores, 2% were severely thin (< −3 SD), 9.7% were thin (−3 to − 2 SD), 5% were overweight (1 to 2 SD), and 1.5% were obese (>2SD). While measuring the height-for-age Z scores, 5.5% had severe stunting and 21.9% had moderate stunting. Those respondents with educational status of high school or below [AOR 3.5 (1.8–6.8), P < 0.001] and those who did not consume a non-vegetarian diet [AOR 2.1 (1.1–4.1), P = 0.02] had significantly higher adjusted odds of being undernourished (severely thin or thin) as compared to those with educational status above high school and those who consumed a mixed diet, respectively. The respondents who are currently not going to school/college had significantly higher adjusted odds [AOR 2.2 (1.2–3.8), P = 0.007] of being stunted when compared to those who are attending school/college. Conclusions: The significant levels of malnutrition observed in this study among late adolescent girls aged 15–19 years—11.7% undernourishment, 6.5% overnourishment, and 27.4% stunting—highlight the concerning vulnerability of this population. The higher prevalence of stunting throws light onto the chronicity of malnutrition. As seen from the significant associations, proper education, and a mixed diet will help nurture a healthy female adolescent population.

Optimizing multi-time series forecasting for enhanced cloud resource utilization based on machine learning

Due to its flexibility, cloud computing has become essential in modern operational schemes. However, the effective management of cloud resources to ensure cost-effectiveness and maintain high performance presents significant challenges. The pay-as-you-go pricing model, while convenient, can lead to escalated expenses and hinder long-term planning. Consequently, FinOps advocates proactive management strategies, with resource usage prediction emerging as a crucial optimization category. In this research, we introduce the multi-time series forecasting system (MSFS), a novel approach for data-driven resource optimization alongside the hybrid ensemble anomaly detection algorithm (HEADA). Our method prioritizes the concept-centric approach, focusing on factors such as prediction uncertainty, interpretability and domain-specific measures. Furthermore, we introduce the similarity-based time-series grouping (STG) method as a core component of MSFS for optimizing multi-time series forecasting, ensuring its scalability with the rapid growth of the cloud environment. The experiments performed demonstrate that our group-specific forecasting model (GSFM) approach enabled MSFS to achieve a significant cost reduction of up to 44%.

Ecosystem service value in the context of urbanization: comparison among economic-social regions of Vietnam

Urbanization is one of the important features of socio-economic development and it has a major impact on the value of ecosystem services (ESV). This study aims to quantify ESV for the entire country of Vietnam with the research unit being 6 socio-economic regions. This can be considered the first study in Vietnam to quantify the ESV for the entire country. The study calculated the annual urban land growth index (AI) and the annual urban land expansion rate (AER) to determine the urbanization status in the six study areas. The study collected input data from JAXA for four years: 1990, 2000, 2010, and 2020. Research results show that urban land area tended to increase and forest land area decreased sharply. The AI and AER indicated that the period 2000–2010 was a period of rapid growth in Vietnam. Meanwhile, the ESV for all of Vietnam increased year by year. The period 2000–2010 witnessed a growth in ESV about 2.35 times higher than the period 1990–2000, and about 0.1% lower than the period 2010–2020. Overall, MKD was the region showing strong growth in ESV from 1990 to 2020. Compared to that, NMR was the region with the largest decline in the 20 years from 1990 to 2010, and CHR in the past 10 years. This research contributes to enriching reference sources for Vietnamese and world researchers to have a broader view of ESV as well as the annual urban growth rate in Vietnam from 1990 to 2020.

Mixed Matrix PVDF Microfiltration Membranes with In-situ Synthesized Polyethyleneimine Particles as a Platform for Flow Through, High Capacity, Weak Base and Salt Tolerant Anion Exchange Membrane Adsorbers for Downstream Bioprocessing

The rapid growth of the monoclonal antibody (mAb) therapeutic market has led to a need for improved downstream bioprocessing, including mAb capture and release from bioreactor harvests followed by product purification and polishing. Membrane chromatography (MC) is poised to displace resin-based column chromatography in mAb product polishing. To remove negatively charged product impurities (e.g., host cell proteins, DNA, viruses, and endotoxins), anion exchange (AEX) membrane adsorbers offer higher process rates and eliminate the risks of cross contamination as they can be deployed as single use separation devices, which are increasingly being utilized in downstream bioprocessing to increase manufacturing speed and decrease production cost. Here, we describe a one-pot and single step phase inversion casting process for the preparation of a family of mixed matrix polyvinylidene fluoride (PVDF) microfiltration (MF) membranes with in-situ synthesized polyethyleneimine (PEI) microparticles that can serve as flow through, high capacity, and salt tolerant weak base AEX membrane adsorbers. These new membranes have a high content of weak base (WB) groups (primary and secondary amines) by virtue of the utilization of bis(2-chloroethyl)amine hydrochloride (BCAH) as crosslinker in the in-situ synthesis of PEI microparticles in the dope dispersions prior to membrane casting. By varying the concentration of PEI and BCAH in the casting dispersions, we successfully utilized nonsolvent induced phase separation (NIPS) with isopropyl alcohol as the nonsolvent in the membrane coagulation bath to prepare a mixed matrix PVDF-PEI MF membrane with (i) a relatively uniform and open microstructure in which the PEI particles completely cover the PVDF spherulites present at the membrane surface and cross section, (ii) high water flux (>1000 liters/m2/hr. at 2 bar) and (iii) a high loading of BCAH crosslinked PEI microparticles (51.0 wt.%) containing weak base primary, secondary, and tertiary amine groups. The protein binding measurements show that this new mixed matrix PVDF-PEI MF membrane can serve as a flow through, high capacity, and salt tolerant WB AEX membrane adsorber with a bovine serum albumin (BSA) dynamic binding capacity of ∼60 mg BSA per mL of membrane in a 50 mM TRIS buffer containing 100 mM of NaCl (15 mS/cm) at 10% breakthrough and flow rate of 10 MV/min. The overall results of this study indicate that our mixed matrix PVDF-PEI MF membranes with in-situ synthesized and BCAH crosslinked PEI microparticles have a promising potential to serve as a platform for the design, preparation, and scale up of a new generation of flow through, high capacity, salt tolerant, WB AEX membrane adsorber materials for downstream bioprocessing.

A genome-wide investigation of the mechanism underlying the effect of exogenous boron application on sugar content and overall quality of “Benihoppe” strawberries

In recent years, the widespread application of growth regulators and nutrients to boost yield and quality of strawberry fruits has led to the rapid growth of strawberry industry globally. Although the effects of major nutrients on strawberry yield have been widely studied, investigations into the effect of trace elements such as boron remain limited. This study examined the effect of boron application on the yield and quality of “Benihoppe” strawberry fruits. Nutrient solutions with varying boron concentrations (0, 0.024, 0.048, 0.072, and 0.096 mM) were applied to the plants, and their effect on fruit quality was evaluated. The results indicated that boron application enhanced the yield per plant, nutrient composition (total amino acid and vitamin C content), antioxidant properties (total phenol) and volatile components (esters) in strawberry fruits. Specifically, treatment with 0.048 mM boron concentration significantly increased the accumulation of soluble sugars, such as sucrose, whose concentration was 154.29% higher than that of the control treated with 0 mM concentration. This enhancement is attributable to the regulated expression of sucrose phosphate synthase (maker-Fvb2-2-augustus-gene-229.38) and β-fructofuranosidase-1/2/3 (augustus-masked-Fvb5-4-processed-gene-2.0, maker-Fvb5-3-augustus-gene-272.30, and maker-Fvb5-1-augustus-gene-0.37) genes, which play crucial roles in sugar metabolism and enzyme activity. Overall, boron application enhanced the quality of “Benihoppe” strawberries. The findings of this study offer substantial theoretical and practical guidance for using boron fertilizers in strawberry farming.

Feature-level fusion of face and speech based multimodal biometric attendance system with liveness detection

The rapid growth of deep learning and the Internet of Things has spurred the need for touchless biometric systems in areas where cleanliness and non-intrusive user interaction are critical. In order to authenticate seamlessly, traditional biometric methods such as fingerprint, hand, etc. recognition require physical contact and, therefore, risk hygiene issues, hence making face and speaker verification more viable alternatives. A robust Multimodal Biometric Attendance System (MBAS) is needed due to the vulnerabilities and limitations of single modality systems. In this research, we introduce MBAS using feature-level fusion of speech data with face data, combining the best of both worlds. The textural features based on a person’s facial appearance are integrated with dynamic speech information for liveness detection, followed by dimensionality reduction using linear discriminant analysis, and then incorporated into a Bi-LSTM classifier. Therefore, for better security, accuracy, and anti-spoofing attacks, this approach is proposed in addition to increasing accuracy as well as enhancing security against spoofing attacks. Two publicly available datasets, DeepfakeTIMIT and AVSpeech, are extensively explored to evaluate different fusion strategies, classifier types, and standard performance metrics. The proposed system outperformed other cutting-edge biometric based systems by exhibiting a 97.51% high accuracy rate with a precision of 99.10% and an equal error rate of 2.48%. These findings affirm the effectiveness and possible real-world applications of the MBAS concept, along with its enhancement ensuring safety. Furthermore, this study underscores the importance of incorporating advanced liveness detection into secure contactless biometrics solutions for modern attendance management in various industries that encompass both face and voice modalities.

Dependence of the hydrate-based CO2 storage characteristics on sand particle size and clay content in unconsolidated sediments

Storing carbon dioxide (CO2) in the form of hydrate in marine sediments is considered an effective way of carbon reduction. Understanding the influence of sediment properties on CO2 hydrate formation is important for the site selection of CO2 hydrate storage in marine sediments. In this study, the effects of sand particle size and bentonite content on the kinetics of CO2 hydrate formation are analyzed using low-field nuclear magnetic resonance technology, and the hydrate-based liquid CO2 storage capacity is evaluated. Results show that CO2 hydrate forms preferentially in large pores of sand samples, the water content in small pores begins to decrease before the hydrate saturation reaches 20%, and the unhydrated water mainly concentrates in small pores. With the increase of sand particle size, the CO2 storage rate of the early rapid growth stage increases first and then decreases, the CO2 storage rate of the whole hydrate formation process decreases continuously, but the final CO2 storage density is weakly affected by sand particle size. With the increase of hydrate saturation, the CO2 storage rate undergoes a trend of rapid decrease, stability, rapid decrease, and low-speed decrease in sequence. The larger the sand particle size or the higher the bentonite content, the shorter the stability stage of CO2 storage rate. The effect of bentonite on CO2 storage rate is the promotion at low content, the inhibition at medium content, and the weakening of inhibition at high content. The sediments with more than 25% bentonite are beneficial to the storage of more CO2.

Children's Education in the Metaverse Era: Between the Rapid Growth of Information Technology and Self-learning of Generation Z

Children's Education in the Metaverse Era: Between the Rapid Growth of Information Technology and Self-learning of Generation Z

A molecular dynamics study on microscopic mechanism of nano-polished single crystal copper

Molecular dynamics simulations are performed to investigate the microscopic mechanism of diamond abrasive grain (DAG) polishing on the surface of single crystal copper (SCC). In this paper, the polishing parameters including the incident angle and the polishing force applied to the DAG are varied to analyze the surface morphology, friction and subsurface damage state of the workpiece. The polishing process on scratched SCC surface was also investigated. It is found that variations in the incident angle and the polishing force have significant effects on the swarf formation and internal structure of the workpiece. At small incident angle, unstable DAG motion and obvious friction fluctuations is observed. As the incident angle becomes larger, the sliding of the DAG on the workpiece surface becomes stable, and the friction force undergoes transition from the rapid growth to the stabilization phase. However, the fluctuation of dislocation density increases with the incident angle. As the polishing force increases, the sliding distance required to reach the peak of dislocation density becomes longer. In addition, the friction as well as the dislocation density show different characteristics on the scratched surface compared to the smooth surface.

The Clockwork Olive: Perspectives from the “American Shoulder”

The structure and the biological significance of the Olivinae fasciculate ornamentation known as “American Shoulder” (after its presence in the American olives) are investigated for around 20 Western Atlantic / Gulf of Mexico / Caribbean species. The applicability of the “Chevron Paradigm” by Tursch & Greifeneder (2001) to the subchannel area is questioned and contrary evidence is proposed. A robust correlation between lip thinning phases and the generation of the typical American Shoulder features is observed: their coincidence with rapid growth stages as reported by Strano (2017) is plausible but wasn’t established decisively in absence of destructive investigations. The issues of intraspecific and interspecific variability are addressed thanks to an extensive photographic coverage, and a new general description of the peculiar pattern emerges from the investigations. The initial identification of some specimens included in this study is questioned on the basis of their subchannel pattern, hinting at its possible use as an accessory character in species determination, and suggesting to include exhaustive descriptions of American Shoulder patterns in new nomenclatural acts involving the (sub)genus Americoliva.

Effect of trace Bi addition on the microstructure and mechanical properties of hypoeutectic Al-Mg-Si-Mn alloy

The effects of Bi on the eutectic structure and mechanical properties of AlMg5Si2Mn alloy were investigated. The results show that when trace Bi is added to the alloy, the eutectic Mg2Si phase in the alloy is successfully refined from long plate-like to fine fiber rod-like and coral-like structure. It is mainly attributed to the precipitation of Bi atomic clusters on the front of the solid-liquid interface and form a component supercooling, in which part of Bi atoms react with Mg atoms to form nanosized Mg3Bi2 particles, which effectively inhibits the rapid growth of eutectic Mg2Si and promotes the branching and refining of eutectic Mg2Si. The strength and ductility of AlMg5Si2Mn alloy containing Bi are significantly improved simultaneously. Compared to the unmodified alloy, the largest tensile strength, yield strength and elongation to failure of the 0.3wt % Bi-modified alloy are increased to 28.04%, 12.3% and 129.1%, respectively. The fracture mode of the alloy changes from brittle fracture to ductile fracture.

Cyberbullying or Just Sarcasm? Unmasking Coordinated Networks on Reddit

the rapid growth of social media usage, a common trend has emerged where users often make sarcastic comments on posts. While sarcasm can sometimes be harmless, it can blur the line with cyberbullying, especially when used in negative or harmful contexts. This growing issue has been exacerbated by the anonymity and vast reach of the internet, making cyberbullying a significant concern on platforms like Reddit. Our research focuses on distinguishing cyberbullying from sarcasm, particularly where online language nuances make it difficult to discern harmful intent. This study proposes a framework using natural language processi ng (NLP) and machine learning to differentiate between the two, addressing the limitations of traditional sentiment analysis in detecting nuanced behaviors. By analyzing a custom dataset scraped from Reddit, we achieved a 95.15% accuracy in distinguishing harmful content from sarcasm. Our findings also reveal that teenagers and minority groups are particularly vulnerable to cyberbullying. Additional ly, our research uncovers coordinated graphs of groups involved in cyberbullying, identifying common patterns in their behavior. This research contributes to improving detection capabilities for safer online communities.

From Flourish to Nourish: Cultivating Soil Health for Sustainable Floriculture.

Despite its rapid growth and economic success, the sustainability of the floriculture industry as it is presently conducted is debatable, due to the huge environmental impacts it initiates and incurs. Achieving sustainability requires joint efforts from all stakeholders, a fact that is often neglected in discussions that frequently focus upon economically driven management concerns. This review attempts to raise awareness and collective responsibility among the key practitioners in floriculture by discussing its sustainability in the context of soil health, as soil is the foundation of agriculture systems. Major challenges posed to soil health arise from soil acidification and salinization stimulated by the abusive use of fertilizers. The poisoning of soil biota by pesticide residues and plastic debris due to the excessive application of pesticides and disposal of plastics is another significant issue and concern. The consequence of continuous cropping obstacles are further elucidated by the concept of plant-soil feedback. Based on these challenges, we propose the adoption and implementation of several sustainable practices including breeding stress-resistant and nutrient-efficient cultivars, making sustainable soil management a goal of floriculture production, and the recycling of plastics to overcome and mitigate the decline in soil health. The problems created by flower waste materials are highlighted and efficient treatment by biochar synthesis is suggested. We acknowledge the complexity of developing and implementing the proposed practices in floriculture as there is limited collaboration among the research and operational communities, and the policymakers. Additional research examining the impacts the floriculture industry has upon soils is needed to develop more sustainable production practices that can help resolve the current threats and to bridge the understanding gap between researchers and stakeholders in floriculture.

Exploring the Freshwater Cladocera (Pleuroxus spp.) as New Potential Live Feed in Aquaculture

In freshwater lakes, cladocera play a crucial role in the food chain, as they are the primary source of nutrition for nearly all aquatic species. Pleuroxus spp. are very suitable for aquaculture due to their ease of handling, rapid growth, non-selective filter feeder, high nutritional value, and remarkable ability to adapt to many environmental conditions. Silver barbs are in high demand in the aquaculture business due to their excellent flavours and rapid development rate. In this study, Pleuroxus spp. was cultured in a control condition with water quality maintained at the room temperature of 26 ± 1 °C and pH of 7.0 ± 0.5. Five treatments of Pleuroxus spp. were prepared, which comprised of T1 (control) = unfed, T2 = coffee grounds, T3 = corn flour, T4 = wheat flour, and T5 = sugarcane waste. Pleuroxus spp. were fed with a selected diet solutions at a concentration of 0.5 g/L daily. The result shows that Pleuroxus spp. given T3 (24.88 ± 5.48 ind/mL) had a greater population density than T4 (22.13 ± 4.83 ind/mL), T2 (21.06 ± 5.27 ind/mL), and T5 (20.56 ± 4.92 ind/mL) dietary treatments. Pleuroxus spp. given T3 had the greatest survival rate (97.9 ± 9.8%) when compared to other diets, T4 (86.81 ± 19.07%), T2 (82.71 ± 16.56%), and T5 (75.00 ± 21.08%). Silver barb showed the highest amount of daily weight gain in treatment T3 (0.11 ± 0.001 mg/days; p < 0.05) compared with other dietary treatments. The maximum specific growth rate (SGR) (%) was achieved when fed with T3 (13.37 ± 0.02%; p < 0.05). The feed conversion ratio (FCR) was shown to be significantly different (p < 0.05). The FCR of larvae fed with different nutritional treatments ranged from 1.22 to 4.12, depending on the treatment. In comparison to other diets, the T3 treatment (1.22 ± 0.03) achieved the highest FCR ratio. In short, pre-feeding of zooplankton with prospective diets has built a baseline of improved aquaculture feeding procedures that may be employed in the future aquaculture businesses.

A Bibliometric Review and Interdisciplinary Analysis of the Brahmaputra River

In this study, we visualize and analyze the literature on the Brahmaputra river using a spectral clustering algorithm, tracking research trends over time. We found that the focus of research on the Brahmaputra has changed over time in the last decade, with a shift from geology to hydrology and geochemistry and a rapid growth in climate change research in recent years. In the future, potential hot topics may be “water resource management” and other topics related to transboundary water resource management and cooperation. At the same time, this study also analyzes in detail the keywords and clusters “geohydrology” and “ecological risk and sustainable development”, among other topics. We believe that future research should carefully consider the potential effects of transdisciplinary research trends. For instance, it is urgent that transborder governance and management regimes be renovated through joint efforts and cross-border effective actions carried out by multifaceted and multi-scalar agencies along this river.

The impact of toroidal mode coupling on high-density discharges in J-TEXT

Density limit has long been a widely studied issue influencing the operating range of tokamaks. The rapid growth of the m/n = 2/1 (where m and n are poloidal and toroidal mode numbers, respectively) tearing mode is generally regarded as a primary precursor to the density limit disruption. In this experiment, the coupling of the m/n = 1/1 mode and the m/n = 2/1 mode in high-density plasma was observed. During a sawtooth cycle, the frequencies of the two modes gradually converge until they become equal. After that, toroidal coupling occurs between the 1/1 and 2/1 modes, resulting in a mutually fixed phase relationship. With the occurrence of toroidal coupling, the 2/1 mode is stabilized. Prior to the disruption, the cessation of the 1/1 and 2/1 mode coupling, along with the rapid growth in the amplitude of the 2/1 mode, can be observed. Additionally, under the same parameters, comparing discharges with or without the 1/1 mode, it is found that the presence of the 1/1 mode leads to higher plasma density and temperature parameters.

Implementing Core Entrustable Professional Activities in Undergraduate Medical Education: A Psychometric Study.

This study examines the feasibility and psychometric results of an assessment of entrustable professional activities (EPAs) as a core component of the clinical program of assessment in undergraduate medical education, assesses the learning curves for each EPA, explores the time to entrustment, and investigates the dependability of the EPA data based on generalizability theory (G theory) analysis. Third-year medical students from the University of Minnesota Medical School in 7 required clerkships from May 2022 through April 2023 were assessed. Students were required to obtain at least 4 EPA assessments per week on average from clinical faculty, residents supervising the students, or assessment and coaching experts. Student ratings were depicted as curves describing their performance over time; regression models were used to fit the curves. The complete class of 240 (138 women [58.0%] and 102 men [42.0%]) third-year medical students at the University of Minnesota Medical School (mean [SD] age at matriculation, 24.2 [2.7] years) participated. There were 32,614 EPA-based assessments (mean [SD], 136 [29.6] assessments per student). Reliability analysis using G theory found that an overall score dependability of 0.75 (range, 0-1) was achieved with 4 assessors on 4 occasions. The desired level of entrustment by academic year end was met by all 240 students (100%) for EPAs 1, 6, and 7, 237 (98.8%), 236 (98.3%), and 218 (90.8%) students for EPAs 2, 5, and 9, respectively, 197 students (82.1%) for EPA 3, 178 students (74.2%) for EPA 4, and 145 students (60.4%) for EPA 12. The most rapid growth was for EPA 2 (β0 = .286), followed by EPA 1 (β0 = .240), EPA 4 (β0 = .236), and EPA 10 (β0 = .230). The study findings suggest that EPA ratings provide reliable and dependable data to make entrustment decisions about students' performance.

Mathematical Modeling and Enhancing the Carrying Capacity of National Parks in the United States

A rapid growth in the number of visitors has been observed for many national parks in the United States, examples include Yellowstone National Park, Yosemite National Park, Rocky Mountain National Park and Arches National Park. As a result, public transit and parking resources have been stretched closer and closer to their capacities in these parks. In response, some National Park Services (NPS) have started to implement crowd control measurements, such as the timed entry reservation systems, where visitors have to reserve their slots to visit the park during certain time periods of the year. However, such policy does not touch on the fundamental issue of the subject, that is, the carrying capacity of the park. In this paper, we demonstrate that there will be even greater growth in the number of visitors in the near future, which means that a capacity boost is inevitable. Fortunately, we also observe that if we can fix some key bottlenecks, then we can dramatically increase the capacity of the park without destroying more natural land.

Urban Expansion and Changing Settlement Patterns of Hyderabad City After 1990s

This paper examines the urban expansion and evolving settlement patterns of Hyderabad city since the 1990s, a period marked by rapid growth and transformation in response to economic liberalization, population influx, and infrastructural developments. The study employs spatial analysis techniques, including Geographic Information Systems (GIS), to map changes in land use, density shifts, and the expansion of urban peripheries. Key factors such as migration, industrial growth, and policy shifts are analyzed to understand their role in reshaping the city's morphology. Findings reveal significant spatial reorganization, with traditional central areas experiencing densification and peripheral zones undergoing rapid development