Limited Capacity Research Articles

Coordination and Hydrogen Bond Chemistry in Tungsten Oxide@Polyaniline Composite toward High-Capacity Aqueous Ammonium Storage.

Aqueous ammonium ion batteries (AAIBs) have garnered significant attention due to their unique energy storage mechanism. However, their progress is hindered by the relatively low capacities of NH4 + host materials. Herein, the study proposes an electrodeposited tungsten oxide@polyaniline (WOx@PANI) composite electrode as a NH4 + host, which achieves an ultrahigh capacity of 280.3 mAh g-1 at 1 A g-1, surpassing the vast majority of previously reported NH4 + host materials. The synergistic interaction of coordination chemistry and hydrogen bond chemistry between the WOx and PANI enhances the charge storage capacity. Experimental results indicate that the strong interfacial coordination bonding (N: →W6+) effectively modulates the chemical environment of W atoms, enhances the protonation level of PANI, and thus consequently the conductivity and stability of the composites. Spectroscopy analysis further reveals a unique NH4 +/H+ co-insertion mechanism, in which the interfacial hydrogen bond network (N-H···O) accelerates proton involvement in the energy storage process and activates the Grotthuss hopping conduction of H+ between the hydrated tungsten oxide layers. This work opens a new avenue to achieving high-capacity NH4 + storage through interfacial chemistry interactions, overcoming the capacity limitations of NH4 + host materials for aqueous energy storage.

Value creation across organizational borders: towards a value gap theory

Purpose This study aims to explore and theorize value gaps within value chain management (VCM) by extending the service quality gap model to the context of global manufacturing value chains. Design/methodology/approach Drawing upon a case study of a small, family-owned Swedish furniture wholesaler, Alpha, this research adapts the service quality gap model and integrates it into the VCM framework. The investigation examines the value creation and delivery processes across a network of actors, highlighting how various gaps emerge at different stages of the value chain. Findings The study identifies and describes several value gaps, including those related to consumer understanding, manufacturing capabilities and coordination across the value chain. Value creation gaps arise from poor communication about consumer needs and product features, whereas value delivery gaps are mainly tied to manufacturing capacity and material restrictions. These gaps can result in misalignment between consumer expectations and the delivered value. Research limitations/implications Although this study provides insights into the emergence of value gaps, further research is needed to determine the magnitude and reduction strategies for these gaps. In addition, understanding how consumers evaluate new products remains a critical area for investigation. Practical implications The research highlights the significance of a coordinated approach to managing value creation and delivery processes. It underscores the need for companies to capture accurate consumer data, consider manufacturing capabilities and engage in effective coordination with various actors in the value chain. Social implications By addressing value gaps, companies can enhance consumer satisfaction and minimize potential dissatisfaction caused by misalignment between consumer expectations and delivered value. This, in turn, can lead to improved relationships with consumers and other actors within the value chain. Originality/value This research offers a novel perspective on value gaps in VCM, extending the service quality gap model to the realm of manufacturing. It underscores the importance of managing both value creation and delivery processes for enhancing competitive advantage in a global market.

Comparison and Optimization of Energy’s Source Consumption

In the period of continually evolving electronic engineering, devices are becoming more intelligent and more multifunctional. However, this increased functionality enhances companies with higher energy consumption which places pressure on energy resources and poses sustainability challenges. Due to this point, this passage is going to discuss three different types of energy resources—batteries, power plants, and renewable energy—outlining their advantages and drawbacks while considering their shortcuts on environmental impacts. Batteries face limitations in capacity and disposal concerns. Power plants, especially those reliant on fossil fuels, offer reliability but contribute to emissions and resource limitation. Renewable energy, like solar and wind power, provides sustainable solutions but may be intermittent due to environmental effects. After that, this passage will determine the optimum choice under different circumstances to reach its maximum productivity.

Anti-Jamming Resource-Allocation Method in the EH-CIoT Network through LWDDPG Algorithm.

In the Energy-Harvesting (EH) Cognitive Internet of Things (EH-CIoT) network, due to the broadcast nature of wireless communication, the EH-CIoT network is susceptible to jamming attacks, which leads to a serious decrease in throughput. Therefore, this paper investigates an anti-jamming resource-allocation method, aiming to maximize the Long-Term Throughput (LTT) of the EH-CIoT network. Specifically, the resource-allocation problem is modeled as a Markov Decision Process (MDP) without prior knowledge. On this basis, this paper carefully designs a two-dimensional reward function that includes throughput and energy rewards. On the one hand, the Agent Base Station (ABS) intuitively evaluates the effectiveness of its actions through throughput rewards to maximize the LTT. On the other hand, considering the EH characteristics and battery capacity limitations, this paper proposes energy rewards to guide the ABS to reasonably allocate channels for Secondary Users (SUs) with insufficient power to harvest more energy for transmission, which can indirectly improve the LTT. In the case where the activity states of Primary Users (PUs), channel information and the jamming strategies of the jammer are not available in advance, this paper proposes a Linearly Weighted Deep Deterministic Policy Gradient (LWDDPG) algorithm to maximize the LTT. The LWDDPG is extended from DDPG to adapt to the design of the two-dimensional reward function, which enables the ABS to reasonably allocate transmission channels, continuous power and work modes to the SUs, and to let the SUs not only transmit on unjammed channels, but also harvest more RF energy to supplement the battery power. Finally, the simulation results demonstrate the validity and superiority of the proposed method compared with traditional methods under multiple jamming attacks.

Fundamental Studies of Discharge Mechanism and Capacity Limits of Lead Acid Battery Electrodes

Long-duration energy storage provides key benefits such as consistent power supply during periods of high demand for grid reliability and flexibility. For environmental benefits, it allows for more renewable energy integration and helps reduce reliance on fossil fuels to lower greenhouse gas emission. Lead batteries have the economic potential to continue serving as an important energy storage technology for a decarbonized sustainable energy future given they are earth-abundant, inexpensive, and 99% recyclable. Advancing the design of lead batteries with higher material utilization, fast recharge rates, and long-cycle life requires a fundamental understanding of the electrochemical and chemical processes taking place at the atomic and molecular scales. In this work, we will discuss how the use of well-defined electrode interfaces allows us to gain insights into the fundamental limits of discharge capacity and recharge rates. We were able to unveil the relationships between discharge rates and PbSO4 particle size/layer thickness that ultimately governs the maximum discharge capacity accessible as a function of discharge rate on both the negative and positive lead electrodes. This data helped us develop a mathematical model that captures the key processes concerning lead ion and (bi)sulfate ion gradients coupled to nucleation and growth that explain, from first principles, the origin of the well-known empirical Peukert law. In this context, exploring how variables such as acid concentration, temperature, and the presence of lignosulfonate additives in the electrolyte further influence discharge capacity allows us to understand how thermodynamic, kinetic, and even mass transport play a huge role in governing the accessible capacity from the electrodes. This study paves the way for a deeper understanding of the variables that are most important in improving the discharge capacity of lead-acid batteries, and thus batteries that can be utilized at their full potential.

Shrinking Lithium-Ion Batteries by Replacing Metal Current Collectors with MXene Films

The demand for high-performance energy storage devices has been rapidly increasing due to the growing need for renewable energy integration and portable electronics. Traditional lithium-ion batteries have become the preferred choice for numerous applications due to their impressive energy density, but they are reaching limitations of capacity. At the cell level, around 25 w% consists of passive components like current collectors, conductive additives, binders, and separators. Especially, copper (Cu) and aluminum (Al) foils have been commonly used as current collectors for the anode and cathode in lithium-ion batteries (LIBs), contributing around 7 wt% and 8 wt%, respectively, to the overall weight. Despite constituting a considerable portion of the battery, these passive components often receive less attention in the development of high-power batteries. In recent years, the focus has been on decreasing the thickness of these metal current collectors and developing lightweight alternative materials to enhance energy efficiency to potentially boost the performance metrics of a Li-ion battery cell to boost the performance metrics of a Li-ion battery cell. MXenes, a family of two-dimensional transition metal carbides, nitrides, and carbonitrides emerge as a promising solution to address this limitation. In particular, Ti3C2T x MXene possesses a 2D morphology with excellent electrical conductivity (up to 20,000 S/cm), high surface area, good mechanical properties, and hydrophilicity. These attributes, coupled with ease of processing, make it very suitable for battery passive components. In this study, we focus on replacing the conventional copper current collector with thinner MXene film current collectors for high-mass loading graphite anode electrodes. Our results show improved capacities and rate performances of electrode materials using Ti3C2T x MXene current collectors while also reducing electrode weight and thickness. The electrode-level gravimetric capacity significantly increased by 98.5 mAh g-1 (from 140 mAh g-1 for Cu@graphite to 238.5 mAh g-1 for MXene@graphite). The areal and volumetric capacities increased as well. This study highlights the potential of MXene current collectors in improving the performance of lithium-ion batteries, paving the way for more efficient and lightweight energy storage solutions.

Study on Electrochemical Characteristics of Crystal Structure Changes Effects of Silicon Anode Materials for Lithium Ion Batteries

Graphite is widely used as a representative anode material in commercialized lithium-ion secondary batteries. However, with a theoretical capacity of 370 mAh/g, it is difficult to manufacture high-capacity/high-density lithium-ion secondary batteries. Therefore, research is actively underway to find high-capacity substances to replace graphite. Silicon anode materials are currently attracting attention as next-generation high-capacity cathode materials. Silicon forms Li4.4Si when fully charged through an alloying/dealloying process with lithium during the reaction. Graphite is intercalation/deintercalation in reaction with lithium and LiC6 is formed when fully charged. That's why silicon has a theoretical capacity of 3800 mAh/g, about 10 times that of graphite.However, silicon is a high-capacity electrode material that overcomes the theoretical capacity limit of graphite, and has the disadvantage of experiencing volume expansion of about 400% during repeated charge/discharge cycles. Problems such as material cracks due to volume expansion can affect the safety of the battery. Various studies are being conducted to solve silicon-related challenges to effectively utilize silicon materials. Previous studies have explored the use of binders or additives to mitigate volume expansion. In addition, various types of silicon materials such as Si alloy and SiOx are being developed to suppress volume expansion through matrix formation. Nevertheless, despite the development of silicon materials, structural changes in the charging and discharging process of silicon remain unclear.This study aims to analyze the structural changes that occur during the charging and discharging process of silicon. The experiment evaluates the electrochemical characteristics of crystalline silicon and amorphous silicon and compares the behavior and structural changes during charging/discharging. The volumetric expansion measurements are performed with electrochemical characterization, and ex-situ X-ray diffraction (XRD) and transmission electron microscope (TEM) analyses are performed for comparison with crystal structural changes.

Real estate for social purpose: varieties of entrepreneurialism in Toronto’s non-profit housing sector

Non-profit housing providers have faced ongoing pressure from neoliberal restructuring policies since the late twentieth century. In reaction to funding cuts and policies requiring them to become more business-like, housing organisations have become more hybrid, incorporating entrepreneurial logics and practices from the real estate sector. We expand on the concept of hybridity to argue that under certain institutional contexts, non-profits can apply real estate entrepreneurialism towards their social housing missions. Analysing development and acquisition practices of 13 non-profit housing providers in the Greater Toronto Area, we explore how non-profits balance entrepreneurial practices with their commitment to de-commodified housing. Three types of hybrid organisations are identified: large economy-of-scale organisations that prioritise growth and real estate professionalisation; service-focused organisations whose mission statement limits their growth aspirations; and newcomers, whose forays into housing development face both internal capacity limits and criticism from veteran organisations. The variances in hybridisation processes across and within institutional contexts, we find, require a more nuanced theorisation of the longer-term implications of neoliberalisation on social housing. Learning from Toronto’s budding social purpose real estate sector, we identify key resources for entrepreneurial housing non-profits: building sectoral assets, knowledge sharing, risk management, and a balance between organisational diversity and scale.

Analyzing Tanker Ship Berthing Delays at Pertamina Refinery Unit II Dumai Terminal

This research investigates the causes and mitigation strategies for tanker ship berthing delays at the PERTAMINA Refinery Unit II Dumai special terminal. The study identifies key issues including dock capacity limitations, adverse weather conditions, insufficient land tank storage, and restrictions on night-time berthing. Data were collected through qualitative research and descriptive analysis involving observations, interviews, and documentation from August 2023 to August 2024. Findings reveal that limited dock capacity and adverse weather significantly contribute to delays, while storage limitations and night-time restrictions further exacerbate the problem. The research highlights the need for dock capacity expansion, improved weather forecasting, enhanced storage management, and safe night-time operational practices. Recommendations include infrastructure upgrades, advanced technological investments, and flexible operational strategies to address these challenges. The study provides valuable insights for improving terminal efficiency and offers a foundation for future research and practical applications in maritime logistics

Implications of long-term sample storage on the recovery of viruses from wastewater and biobanking

Wastewater-based monitoring has been widely implemented worldwide for the tracking of SARS-CoV-2 outbreaks and other viral diseases. In many surveillance programmes, unprocessed and processed wastewater samples are often frozen and stored for long periods of time in case the identification and tracing of an emerging health threat becomes necessary. However, extensive sample bioarchives may be difficult to maintain due to limitations in ultra-freezer capacity and associated cost. Furthermore, the stability of viruses in such samples has not been systematically investigated and hence the usefulness of bioarchives is unknown. In this study, we assessed the stability of SARS-CoV-2, influenza viruses, noroviruses and the faecal indicator virus, crAssphage, in raw wastewater and purified nucleic aacid extracts stored at -80 °C for 6–24 months. We found that the isolated viral RNA and DNA showed little signs of degradation in storage over 8–24 months, whereas extensive decay viral and loss of qPCR signal was observed during the storage of raw unprocessed wastewater. The most stable viruses were noroviruses and crAssphage, followed by SARS-CoV-2 and influenza A virus. Based on our findings, we conclude that bioarchives comprised of nucleic acid extracts derived from concentrated wastewater samples may be archived long-term, for at least two years, whereas raw wastewater samples may be discarded after one year.

Mixing and mingling in visual working memory: Inter-item competition is feature-specific during encoding and feature-general during maintenance

Visual working memory (WM) is a central cognitive ability but is capacity-limited due to competition between remembered items. Understanding whether inter-item competition depends on the similarity of the features being remembered has important implications for determining if competition occurs in sensory or post-sensory stages of processing. Experiment 1 compared the precision of WM across homogeneous displays, where items belonged to the same feature type (e.g., colorful circles), and heterogeneous displays (e.g., colorful circles and oriented bars). Performance was better for heterogeneous displays, suggesting a feature-specific component of interference. However, Experiment 2 used a retro-cueing task to isolate encoding from online maintenance and revealed that inter-item competition during storage was not feature-specific. The data support recent models of WM in which inter-item interference – and hence capacity limits in WM – occurs in higher-order structures that receive convergent input from a diverse array of feature-specific representations.

Effects of solar radiations on stratum corneum hydration: Part II, protective action of solar filters.

The skin surface lipids (SSLs) film, composed of sebum and keratinocyte membrane lipids, is crucial to the barrier function of the stratum corneum (SC). The first part of this study investigated the impact of solar radiation on the SC based on a novel hydration and dehydration approach using Raman spectroscopy. The SSLs were found to absorb solar light, and thus participate to the protection of the skin surface. However, the protective function of the SSLs may be limited and is dependent to the heterogenous distribution of SSLs over the body surface. To ensure comprehensive protection, synergistic measures such as the application of solar filters are necessary. In this second part of the study, we have evaluated the limits of the protection capacity of SSLs and explored the protective action of a solar filters on both SSLs composition and the water hydration and dehydration kinetics in the SC.

The emotion filmmaker: Temporal memory, time-emotion integration, and affective style.

Emotional experiences are temporally dynamic, but prior work suggests that temporal features are usually neglected in remembered emotion. For instance, retrospective emotion evaluations are often biased by discrete salient timepoints, such as the peak and end moments, at the expense of objective event duration (i.e., peak-end effects and duration neglect). However, how these retrospective emotion biases originate, as well as their significance for emotional functioning, remain unclear. Here, we test the hypothesis that retrospective emotion biases are related to fundamental limits of temporal processing and memory capacity. Further, we examine whether these limits have implications for emotional functioning. Participants (n = 60) underwent a novel paradigm comprising affectively-rich movie sequences while providing emotion ratings continuously (moment-by-moment) and retrospectively. Temporal memory for previously watched emotional movie sequences and dispositional negativity were measured. Our findings revealed a greater "end" bias as the duration of emotional-movie sequences increased, suggesting that limitations in temporal processing capacity may contribute to retrospective emotion biases. Critically, temporal-memory errors were associated with larger retrospective emotion biases and with individual differences in dispositional negativity. Collectively, these results indicate that retrospective emotion biases may stem partly from mnemonic temporal errors that are emotionally maladaptive. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Numerical simulation for large baseline interferometric imaging altimeter

Sea topography information holds significant importance in oceanic research and the climate change detection. Radar imaging altimetry has emerged as the leading approach for global ocean observation, employing synthetic aperture radar (SAR) interferometry to enhance the spatial resolution of Sea topography. Nevertheless, current payload capacity and satellite hardware limitations prevent the extension of the interferometric baseline by enlarging the physical antenna size. This constraint hinders achieving centimeter-level accuracy in interferometric altimetry. To address this challenge, we conducted a numerical simulation to assess the viability of a large baseline interferometric imaging altimeter (LB-IIA). By controlling the baseline within the range of 600–1000 m through spiral orbit design in two satellites and mitigating baseline de-correlation with the carrier frequency shift (CFS) technique, we aimed to overcome the above limitations. Our findings demonstrate the efficacy of the CFS technique in compensating for baseline decoherence, elevating coherence from less than 0.1 to over 0.85. Concurrently. The height difference accuracy between neighboring sea surfaces reaches 1 cm within a 1 km resolution. This study is anticipated to serve as a foundational reference for future interferometric imaging altimeter development, catering to the demand for high-precision sea topography data in accurate global bathymetry inversion.

Developing customer convenience and experience through increased competency and efficiency: A strategic approach to retail operations mastery

Retailers who are part of supply chains are crucial in attracting customers to physically visit their stores and thereby increase supply chain revenue. Retailers in supply chains are responsible for handling a high volume of transactions and high customer contact, thus better management of retail operations is necessary to provide greater convenience and experience for customers. In this regard, retail operations must be properly managed, particularly during times of crisis like COVID-19, to ensure that customers purchase their basic needs promptly and safely. Since customer contact is high, the retail operations can have a greater say in improving the customer convenience and experience but this perspective has not been specifically emphasized both in research and practice. Thus, the current study attempted to evaluate how well retail operations can improve customer convenience and experience so that retailers can do well even during times of uncertainty. The study, which is grounded in the resource-based view theory, thus looks at how well retailers' competency and efficiency in running the operations help in achieving better customer convenience and experience. In this regard, sample data from 416 practitioners belonging to the Indian retail industry has been selected to examine the mediating role of retailers' efficiency to retailers’ competence in achieving better customer convenience and experience. This study importantly confirms that while more competence can help retailers operate more efficiently, it cannot, by itself, provide customers with greater convenience or a better shopping experience. This study found that retailers concentrate on streamlining their operations in order to overcome capacity limits because it is expensive and limited. The empirical evidence shows that retail operations have significance say in offering better convenience and experience customers.

Resource-rational psychopathology.

Psychopathology is vast and diverse. Across distinct disease states, individuals exhibit symptoms that appear counter to the standard view of rationality (expected utility maximization). We argue that some aspects of psychopathology can be described as resource-rational, reflecting a rational trade-off between reward and cognitive resources. We review work on two theories of this kind: rational inattention, where a capacity limit applies to perceptual channels, and policy compression, where the capacity limit applies to action channels. We show how these theories can parsimoniously explain many forms of psychopathology, including affective, primary psychotic, and neurodevelopmental disorders, as well as many effects of psychoactive medications on these disorders. While there are important disorder-specific differences and the theories are by no means universal, we argue that resource rationality offers a useful new perspective on psychopathology. By emphasizing the role of cognitive resource constraints, this approach offers a more inclusive picture of rationality. Some aspects of psychopathology may reflect rational trade-offs rather than the breakdown of rationality. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

A Robust Optimization Model for Emergency Location Considering the Uncertainty and Correlation of Transportation Network Capacity

Emergencies often lead to the impairment of infrastructure systems, including transportation systems. It is necessary to analyze the uncertainty and correlation of transportation network capacity caused by emergencies, aiming at the problems of emergency facilities’ location and matching in emergency contexts. This study introduces novel concepts, such as flow distribution betweenness centrality (FD-BC) and the transport capacity effect coefficient (TC-EC). Furthermore, we introduce the ellipsoidal uncertainty set to characterize uncertainties in transport capacity. We construct a multi-criteria decision-making (MCDM) model and a multi-strength elitist genetic algorithm (multi-SEGA) to ensure the lower limit of transport capacity between demand and emergency points while minimizing decision-making costs. By designing an uncertain scenario example, we analyze the effect of the perturbation ratio and the uncertainty level on the robust location model. The following results were drawn: (1) Indicators FD-BC and TC-EC effectively indicated the importance of each section in the emergency transportation network. (2) The optimal value of the model’s objective function changed more significantly as the perturbation ratio and uncertainty level increased. (3) After reaching a certain uncertainty level, the robust model with an ellipsoidal uncertainty set became more conservative than the robust model with a box uncertainty set, which lacked practical significance. The research results guarantee the robustness of the emergency support system in uncertain conditions.

Social adaptation assistance for children with autism spectrum disorders in Kazakhstan

This study investigates the provision and effectiveness of social adaptation assistance for children with Autism Spectrum Disorder (ASD) in Almaty, Kazakhstan, with the aim of mapping available services, assessing their accessibility and impact, and identifying cultural and societal factors influencing ASD support. Employing a mixed-methods approach, the research combines a systematic literature review and a survey of 20 families with ASD-affected children aged between 4 and 16 years. The literature review focused on articles published from 2010 to 2022, exploring the prevalence of ASD and the extent of support services in Kazakhstan. Results indicate that while state-run educational programs are the most accessed form of assistance, challenges persist in terms of individualized attention and resource sufficiency. Independent and international initiatives are valued for their personalized approach but face limitations in capacity and reach. The study concludes that despite the growing awareness of ASD in Almaty, there is a critical need for comprehensive, culturally sensitive strategies that enhance the social adaptation and integration of children with ASD into society.

El legado matemático de la escritura cuneiforme: matemática funcional en la antigua mesopotamia

Tourism for the observation of large cats, such as the jaguar in the Brazilian Pantanal and the puma in Chilean Patagonia, has emerged as a powerful tool to promote biodiversity conservation and sustainable economic development. This article explores the opportunities and challenges associated with this form of tourism, highlighting best practices and strategies for maximizing benefits and mitigating negative impacts. The analysis reveals that big cat tourism can provide significant economic benefits to local communities, creating livelihoods and raising living standards. However, it is crucial to maintain a balance between economic benefits and ecological sustainability. Implementing capacity limits, strict regulations, and sustainable tourism practices are essential to prevent the degradation of natural habitats and animal stress. Tourism education plays a vital role in promoting responsible behaviors among visitors. Orientation programs and the presence of experienced guides help ensure that wildlife interactions are safe and informative. Additionally, collaborating with academic institutions to monitor and research the impact of tourism on feline populations and their habitats is critical for making informed decisions. The involvement of local communities is another critical aspect. Initiatives that ensure communities directly benefit from tourism strengthen local support for conservation efforts and create sustainable income streams. Habitat restoration projects and anti-poaching units, funded by tourism revenue, can promote ecological recovery and reduce threats to wildlife. Diversification of tourism activities is also recommended to distribute pressure on wildlife habitats and extend the stay of tourists. In addition to feline watching, cultural visits, ecological trails and other activities can promote conservation and environmental education. Jaguar and cougar sighting tourism presents a valuable opportunity to promote conservation and economic development. Adopting sustainable tourism practices, education, and community engagement are essential to ensure that this form of tourism continues to thrive, benefiting both wildlife and local communities.

Feline watching tourism in South America: Conservation, sustainability and impacts in the Pantanal and Patagonia

Tourism for the observation of large cats, such as the jaguar in the Brazilian Pantanal and the puma in Chilean Patagonia, has emerged as a powerful tool to promote biodiversity conservation and sustainable economic development. This article explores the opportunities and challenges associated with this form of tourism, highlighting best practices and strategies for maximizing benefits and mitigating negative impacts. The analysis reveals that big cat tourism can provide significant economic benefits to local communities, creating livelihoods and raising living standards. However, it is crucial to maintain a balance between economic benefits and ecological sustainability. Implementing capacity limits, strict regulations, and sustainable tourism practices are essential to prevent the degradation of natural habitats and animal stress. Tourism education plays a vital role in promoting responsible behaviors among visitors. Orientation programs and the presence of experienced guides help ensure that wildlife interactions are safe and informative. Additionally, collaborating with academic institutions to monitor and research the impact of tourism on feline populations and their habitats is critical for making informed decisions. The involvement of local communities is another critical aspect. Initiatives that ensure communities directly benefit from tourism strengthen local support for conservation efforts and create sustainable income streams. Habitat restoration projects and anti-poaching units, funded by tourism revenue, can promote ecological recovery and reduce threats to wildlife. Diversification of tourism activities is also recommended to distribute pressure on wildlife habitats and extend the stay of tourists. In addition to feline watching, cultural visits, ecological trails and other activities can promote conservation and environmental education. Jaguar and cougar sighting tourism presents a valuable opportunity to promote conservation and economic development. Adopting sustainable tourism practices, education, and community engagement are essential to ensure that this form of tourism continues to thrive, benefiting both wildlife and local communities.