Channel Changes Research Articles

Multi-Agent Reinforcement Learning Resources Allocation Method Using Dueling Double Deep Q-Network in Vehicular Networks

The communication between vehicle-to-vehicle (V2V) with high frequency, group sending, group receiving and periodic lead to serious collision of wireless resources and limited system capacity, and the rapid channel changes in high mobility vehicular environments preclude the possibility of collecting accurate instantaneous channel state information at the base station for centralized resource management. In addition, road and traffic safety have very strict requirements for low-latency, high-reliability communication, and information transmission is only valuable within a certain range, and requires timeliness. For the Internet of Vehicles (IoV), it is a fundamental challenge to achieve low latency and high reliability communication for real-time data interaction over short distances in a complex wireless propagation environment, as well as to attenuate and avoid inter-vehicle interference through a reasonable spectrum allocation. To solve the above problems, this paper proposes a resource allocation (RA) method using dueling double deep-Q network reinforcement learning (RL) with low-latitude fingerprints and soft-update architecture (D3QN-LS) while constructing a multi-agent model based on a Manhattan grid layout urban virtual environment, with communication links between V2V links acting as agents to reuse vehicle-to-infrastructure (V2I) spectrum resources. These agents work in concert, interact with the environment, receive appropriate observations, rewards, and ultimately learn to improve power and spectrum allocation to provide a better entertainment experience and safer driving environment for users. We also address the shortcomings in existing literature studies. Firstly, the low upper limit of transmitted data volume; Secondly, the artificial assumption that the spectrum is consistent with the number of V2V links, which is insufficient for future applications in spectrum shortage sections. We accordingly extend the amount of transmitted data while adding a scenario where the spectrum resources are relatively short, i.e., the number of V2V links is significantly larger than the amount of spectrum. Experimental results show that with proper training mechanism and reward function construction, multiple intelligence can cooperate effectively. Therefore, the total link capacity of the V2I link and the success rate of periodic security information transmission are further improved.

Energy Harvesting Reconfigurable Intelligent Surface for UAV Based on Robust Deep Reinforcement Learning

Integrating unmanned aerial vehicles with RIS (UAV–RIS) can offer ubiquitous deployment services in communication-disabled areas, but is limited by the on-board energy of the UAVs. In this paper, a novel energy harvesting (EH) scheme on top of the UAV–RIS system, called EH-RIS scheme, is developed for the next generation high performance wireless system. The proposed EH-RIS scheme extends the simultaneous wireless information and power transfer (SWIPT) system by splitting the passive reflected arrays on the geometric space for transporting information and harvesting energy simultaneously. However, pedestrian mobility, and rapid channel changes post challenges to efficient resource allocation in wireless systems. Thus, a robust deep reinforcement learning (DRL)-based algorithm is developed to improve the proposed EH-RIS scheme for guaranteeing the quality of service (QoS) under dynamic wireless environments. The simulation results demonstrate the effectiveness and efficiency of the proposed robust DRL-based EH-RIS system, which not only outperform the existing state-of-the-art solutions but also approach to the performance of the exhaustive search method.

Komunikasi Penanganan Konflik Tanah Ulayat di Kecamatan Batipuh Selatan Kabupaten Tanah Datar

This study aims to describe and analyze the dynamics of communication in handling Nagari Sumpur customary land conflicts, communication in conflict management of the Ulayat Land Team, and communication barriers faced by the Nagari Sumpur Ulayat Land Team, South Batipuh District. This research uses a qualitative approach with a case study method. As a reference in processing data, researchers use conflict management theory. The results showed that the dynamics of communication in handling customary land conflicts in Nagari Sumpur had political involvement in it. The local government that took office at that time seemed a bit reluctant for fear of reducing its political votes at the time of the election. In addition, the dynamics of communication in handling customary land conflicts in Nagari Sumpur continue to experience changes in patterns, content and channels. The dynamics of communication can also be seen from the emotional involvement of the communicating party. The Tanah Ulayat Team is in a moderate dynamic which means that the Tanah Ulayat Team communicates well in internal meetings with the team. High communication dynamics occur if external meetings that present all institutions, elements and society. As for conflict management, the Tanah Ulayat Team prioritizes the interests of Nagari by striving and striving so that the objectives in handling Nagari customary land conflicts can be resolved.

Xylitol binding to the M1 site of glucose isomerase induces a conformational change in the substrate binding channel

Glucose isomerase (GI) is extensively used in the food industry for production of high-fructose corn syrup and for the production of biofuels and other renewable chemicals. Structure-based studies on GI inhibitors are important for improving its efficiency in industrial applications. Here, we report the subatomic crystal structure of Streptomyces rubiginosus GI (SruGI) complexed with its inhibitor, xylitol, at 0.99 Å resolution. Electron density map and temperature factor analysis showed partial binding of xylitol to the M1 metal binding site of SruGI, providing two different conformations of the metal binding site and the substrate binding channel. The xylitol molecule induced a conformational change in the M2 metal ion-interacting Asp255 residue, which subsequently led to a conformational change in the side chain of Asp181 residue. This led to the positional shift of Pro25 by 1.71 Å and side chain rotation of Phe26 by 21°, where located on the neighboring protomer in tetrameric SruGI. The conformation change of these two residues affect the size of the substrate-binding channel of GI. Therefore, xylitol binding to M1 site of SruGI induces not only a conformational changes of the metal-binding site, but also conformational change of substrate-binding channel of the tetrameric SruGI. These results expand our knowledge about the mechanism underlying the inhibitory effect of xylitol on GI.

Amyloid-β Effects on Peripheral Nerve: A New Model System.

Although there are many biochemical methods to measure amyloid-β (Aβ)42 concentration, one of the critical issues in the study of the effects of Aβ42 on the nervous system is a simple physiological measurement. The in vitro rat sciatic nerve model is employed and the nerve action potential (NAP) is quantified with different stimuli while exposed to different concentrations of Aβ42. Aβ42 predominantly reduces the NAP amplitude with minimal effects on other parameters except at low stimulus currents and short inter-stimulus intervals. The effects of Aβ42 are significantly concentration-dependent, with a maximum reduction in NAP amplitude at a concentration of 70 nM and smaller effects on the NAP amplitude at higher and lower concentrations. However, even physiologic concentrations in the range of 70 pM did reduce the NAP amplitude. The effects of Aβ42 became maximal 5-8 h after exposure and did not reverse during a 30 min washout period. The in vitro rat sciatic nerve model is sensitive to the effects of physiologic concentrations of Aβ42. These experiments suggest that the effect of Aβ42 is a very complex function of concentration that may be the result of amyloid-related changes in membrane properties or sodium channels.

The role of ISO 22301 "Business continuity management systems" in the management system of the organization

The article deals with the issues of maintaining sustainability and business continuity in the face of changing exchange rates, changing partners, changes in legislation, disruption of contracts, changes in distribution channels. The author reveals the role of the ISO 22301 "Business Continuity Management Systems" standard in the organization's management system and the impact of the document on the sustainability of companies. The issues of introducing a business continuity management system (BCMS) are considered and points are established that contribute to improving the efficiency of this system.

China Luxury Market Consumption under the Covid-19 Pandemic

China's luxury market is becoming outstanding in the whole world industry. With the sudden outbreak of COVID-19 at the end of 2019, almost all industries have been affected to a greater or lesser extent. However, China's luxury market recovered rapidly and showed a strong growth trend from 2020-2022, following a brief downturn. Therefore, after analyzing and collecting relevant market reports and industry reports, this paper finds that consumption return, digital transformation, the rise of the new generation of consumer groups, and favorable Hainan duty-free policy can be used as four reasons to explain the rapid recovery and growth of China luxury market under Covid-19. This paper further studied the strategies of international luxury brands to cope with the pandemic situation, such as the change of channels while integrating Chinese elements and the increasing attention to environmental factors. Finally, this paper shows a positive attitude toward the growing trend of China's luxury market in the future. It gives suggestions for the future development of brands and investors in such an industry.

Preventing water inrush hazards in coal mines by coal gangue backfilling in gobs: influences of the particle size and stress on seepage characteristics.

The backfilling mining method that fills gobs with coal gangue can prevent water inrush hazards, protect groundwater resources, and protect the ecological environment of the mining area. However, initial conditions including the particle size distribution of gangue and the stress environment may affect the seepage characteristics of gangue backfill and inrush prevention ability. Taking the particle size and stress as main controlling factors, the seepage tests were designed for gangue to evaluate influences of the particle size and stress on the void ratio, permeability, and non-Darcian flow factor of gangue. In the meantime, the four stages in dynamic changes of seepage channels were studied and the impervious envelope lines of gangue backfill materials were provided. The results show that the larger the particle sizes, the stronger the crushing resistance of particles; under high stress (> 6.67MPa), seepage channels in small gangue particles (< 5mm) change in a more complex manner, and the non-Darcian flow phenomena become more significant. The particle size and stress exert significant influences on the seepage characteristics. Therefore, when reducing water inrush hazards by gangue backfilling in gobs, the particle size distribution should be optimized by combining the stress and water pressure conditions. Seepage channels in gangue backfill materials vary with changes in the particle size and stress. Their variation can be divided into four stages: shrinkage of seepage channels, reconstruction of seepage channels, dynamic equilibrium between slight expansion and shrinkage, and persistence of the impervious effect. After the first and second stages have been fully developed, the preliminary impervious conditions are met; after full development of the fourth stage, the gangue backfill materials reach an impervious state.

Lack of activity of the mitochondrial large-conductance calcium-regulated potassium channels in senescent vascular smooth muscle cells.

A limited number of studies have shown functional changes in mitochondrial ion channels in aging and senescent cells. We have identified, for the first time, mitochondrial large-conductance calcium-regulated potassium channels in human smooth muscle mitochondria. This channel, with a conductance of 273 pS, was regulated by calcium ions and membrane potential. Additionally, it was activated by the potassium channel opener NS11021 and blocked by paxilline. Importantly, we have shown that senescence of these cells induced by hydrogen peroxide treatment leads to the disappearance of potassium channel protein levels and channel activity measured by the single channel patch-clamp technique. Our data suggest that disturbances in the expression of mitochondrial large conductance calcium-regulated potassium channels may be hallmarks of cellular senescence and contribute to the misregulation of mitochondrial function in senescent cells.

Adaptive Beam Alignment and Optimization for IRS-Aided High-Speed UAV Communications

In the unmanned aerial vehicle (UAV) enabled wireless communication system, the rapid channel change caused by high-speed UAV may cause the beam misalignment problem. It is a challenge to fast establish and maintain the communications link between UAV and ground base stations. To address this challenge, an IRS-aided high-speed UAV adaptive beam alignment (IRS-UAV-ABA) scheme utilizing double-layer long short-term memory (DL-LSTM) spatial angle prediction model is proposed to improve the effectiveness and reliability of the UAV communication. Firstly, DL-LSTM enabled spatial angle prediction is modeled to facilitate the calculation of the beam coverage adapted to the UAV real-time flight trajectory. Secondly, the non-convex optimization problem for maximizing the received signal-to-noise ratio of moving UAV is formulated to obtain the suboptimal solutions of the BS’ beamforming vector and the IRS’ phase shift matrix. Finally, with the aforementioned beamforming vectors, the phase shift matrix and the adaptive beam coverage, the adaptive dual-beams alignment from BS to UAV and from IRS to UAV can be achieved by the proposed DL-LSTM-enabled IRS-UAV-ABA algorithm. Simulation results verify that the proposed scheme not only can effectively avoid the beam misalignment caused by the mobility and perturbation of UAV, but also has superior spectrum efficiency and stable beamforming gain.

Art at the Start: A controlled trial and close observation of parent-infant art therapy intervention.

This two-part study seeks to evidence art therapy intervention for parent-infant attachment relationships, looking at improvements to wellbeing and relationships. Study one was a controlled trial with 105 participating parent/caregivers and their infants (0-3-years), identified due to concerns about their relationship. They were quasi-randomized to attend a 12-week art therapy group or treatment as usual. Measures focused on parents' wellbeing and their perceptions of their relationship with their infant. In study 2 we analyzed video footage from the first and penultimate sessions of a sample of 37 dyads, looking for observable changes in the different channels of communication upon which attachments are predicated. The controlled trial showed intervention participants had significantly improved parental wellbeing, significant increases in attachment warmth and significant decreases in intrusion. This contrasted with the control sample who showed a significant decrease in wellbeing, stable warmth, and significant increases in intrusion. The observation study showed that there was a significant increase in the communicative behaviors from the parents to the infant which would support attachments between the first and penultimate sessions. We conclude that these results make a robust case for the inclusion of art therapy within the range of interventions available for at risk early relationships.

Effect of Gain Saturation on Wideband WDM Signal in PPLN-Based Optical Parametric Amplifier

The periodically poled LiNbO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sub> (PPLN) based optical parametric amplifier (OPA) is a technology that contributes to the construction of multi-band wavelength-division multiplexing (WDM) optical networks thanks to its wide amplification bandwidth and wavelength conversion function. In addition, the fast response of the OPA means it is unaffected by sudden changes of wavelength channels due to dynamic channel add-drop. However, such fast response leads to nonlinear signal distortion when operating in the gain saturation region. This paper experimentally investigates the conversion of gain saturation into the nonlinear amplitude distortion in a 64-Gbaud 64QAM WDM signal. We characterized the input power tolerance of a PPLN-based OPA in wideband WDM applications and found that the nonlinear amplitude distortion can be suppressed by increasing the number of WDM channels. For a 75-GHz-spacing 64-channel WDM configuration, the total input power tolerance was improved by ∼10 dB compared to a single-channel case. We also confirmed that there is almost no wavelength dependence of the effect of gain saturation on the signal distortion. These results show that PPLN-based OPAs have a wide total input power range for amplifying wideband WDM signals in terms of the nonlinear distortion.

Studying Bankline Migration of the Lower Pra Basin using Remote Sensing and GIS

The study investigated bank erosion and accretion of the lower section of the Pra River of Ghana using a topographical map of 1974 and satellite imagery of 2007, 2015, and 2018 which was augmented by field observation and key informant interviews. Bankline changes due to erosion and accretion and the total volumetric change in river channel were measured using Remote Sensing and Geographic Information System approaches. The study showed that erosion was more pronounced in both the right and left bank as compared to accretion. The study revealed that bank width area of the lower basin of Pra River increased by 50.7 m² from 16.2 m² in 1974 to 66.9 m² in 2018 eroding large portions of land along the right and left banks of the river. In general, the number of erosional spots in selected cross sections exceeded that of deposition. Erosion took place in 13 spots out of 20 spots constituting 65% with a rate ranging between 0.2 and 3.4 m/year. This research showed the value of channel morphological analysis as it brought to the fore, a quantitative perspective to bank erosion and accretion processes of fluvial systems.

Spatio-Temporal Shoreline Movement of the Afram River in Ghana: The Application of Endpoint Rate and Net Shoreline Movement

Shoreline change is a severe threat to life and property in wetland regions. Shoreline change analysis is critical for integrated wetland zone management and is accomplished through the field and aerial surveys. The Afram River is a significant source of water, food, and economic activity for Kwahu and its neighbouring communities and a form of funds for the residents. The shoreline, nevertheless, has been transforming because of erosion and accretion. This study examined a low-cost innovative approach using space-based peripheral visuals and metrics. Transects and data analysis for the riverbank were created using the Digital Shoreline Analysis System (DSAS) in the Spatial database. The study employed Landsat images from three historical years (2001, 2015 and 2022) across 22 years. End Point Rate (EPR) and Net Shoreline Movement (NSM) statistics in DSAS were used to determine the extent of change. Questionnaires and key informant interviews were administered to farmers, boat operators, fishermen, and older residents to learn more about the factors responsible for changes in shoreline position. According to the study, 24% of the shoreline erodes at a section, while 86% is stable. The survey's mean erosion rate is -0.24 m/yr, whereas the average accretion proportion is 27 m/yr. The ramifications of the Afram River channel change have affected the socio-economic livelihoods, including out-migration, farm loss and displacement of settlement. As a result, all organisations and participants responsible for these riverbanks should work together to prevent further damage and erosion of the shoreline line and its marine life and resources.

Channel Activity Remote Sensing Retrieval Model: A Case Study of the Lower Yellow River

Meandering channel migration is a widespread phenomenon in rivers all around the world. Channel activity, which reflects the rate of change of a meandering channel, is calculated by averaging lateral channel migration. Channel migration can create new channels and abandon old ones, with effects on the natural environment. Floods can even lead to excessive rates of channel migration, which can threaten cities or farmland. Remote sensing can detect the spatial and temporal dynamic characteristics of the river channel, taking into account both spatial and temporal resolution, and can help in planning for the safety of the river channel in advance. Previous studies on river channels have suffered from a low accuracy of data, low level of automation, and subjectivity. To overcome these limitations, we propose a channel activity remote sensing retrieval model (CARSM) in this paper. CARSM extracts water using the modified normalized difference water index (MNDWI) combined with Otsu’s method on the Google Earth Engine (GEE) platform, then extracts the channel centerlines via water mask maps using RivWidthCloud, and finally calculates channel activity based on the geometric relationship of the channel centerlines. With more objective extraction results, CARSM can guarantee more than 95% accuracy of channel activity and its high degree of automation can save a lot of labor costs. We use Landsat images to monitor the channel of the Lower Yellow River and calculate the overall and segmental channel activity separately. Our results show that the overall channel activity of the Lower Yellow River has gradually decreased between 1990 and 2020, with decreases of 33.04% and 41.06%, respectively. Analysis of channel activity reveals that the water sediment pattern of the Lower Yellow River changed from siltation to scouring after the completion of Xiaolangdi Reservoir, and the Lower Yellow River is gradually becoming stable.

The cause and inspiration of the nonlinear impact of the Three Gorges Dam operation on stage-discharge relation in downstream channels

Evaluating the effects of dam operations on downstream hydrological regimes is crucial to cope with the threat of flood. Some channels in dammed rivers have experienced erosion and counterintuitive higher flood water levels. However, the impacts of dam-induced channel changes and dam-altered streamflow on downstream hydrological regimes have been less thoroughly evaluated. Herein, we integrated the Distributed Time Variant Gain Model and a proposed grey model to thoroughly decouple the effects of TGD-altered Yangtze River streamflow and TGD-induced river channel changes on the stage-discharge relation in Jingjiang reach of the middle Yangtze River basin, from 2003 to 2014. The stage-discharge relation in Jingjiang reach is presented by the relation between water level at Chenglingji station (Zcl) and discharge at Luoshan station (Qls). The results indicate that the TGD operation increases Zcl by 0.01 ∼ 0.06 m and 0.02 ∼ 0.48 m on average when Qls is below 12,000 and exceeds 24000 m3/s, respectively. However, the TGD operation decreases Zcl by 0.01 m on average when Qls is around 18000 m3/s. Hence, the TGD operation has a nonlinear impact on downstream stage-discharge curves, which results from the TGD interception of the release, water–sediment regulation of the TGD, and the erosion of the fine-grained channel. Given that the causes of the nonlinear impact are widespread, we speculated that the resulting changes in downstream stage-discharge curves influenced by the water–sediment regulation of dams in fine-grained rivers will be nonlinear and exhibit the hook curve. Meanwhile, the purposed grey model helps to evaluate the impacts of dam-induced river channel changes on downstream hydrological regimes in data-scarce rivers. Our work helps to thoroughly evaluate the impacts of dam operations on downstream hydrological regimes and the resulting flood threat.

Evaluating Urban Stream Flooding with Machine Learning, LiDAR, and 3D Modeling

Flooding in urban streams can occur suddenly and cause major environmental and infrastructure destruction. Due to the high amounts of impervious surfaces in urban watersheds, runoff from precipitation events can cause a rapid increase in stream water levels, leading to flooding. With increasing urbanization, it is critical to understand how urban stream channels will respond to precipitation events to prevent catastrophic flooding. This study uses the Prophet time series machine learning algorithm to forecast hourly changes in water level in an urban stream, Hunnicutt Creek, Clemson, South Carolina (SC), USA. Machine learning was highly accurate in predicting changes in water level for five locations along the stream with R2 values greater than 0.9. Yet, it can be challenging to understand how these water level prediction values will translate to water volume in the stream channel. Therefore, this study collected terrestrial Light Detection and Ranging (LiDAR) data for Hunnicutt Creek to model these areas in 3D to illustrate how the predicted changes in water levels correspond to changes in water levels in the stream channel. The predicted water levels were also used to calculate upstream flood volumes to provide further context for how small changes in the water level correspond to changes in the stream channel. Overall, the methodology determined that the areas of Hunnicutt Creek with more urban impacts experience larger rises in stream levels and greater volumes of upstream water during storm events. Together, this innovative methodology combining machine learning, terrestrial LiDAR, 3D modeling, and volume calculations provides new techniques to understand flood-prone areas in urban stream environments.

Deficient AMPK activity contributes to hyperexcitability in peripheral nociceptive sensory neurons and thermal hyperalgesia in lupus mice.

Patients with systemic lupus erythematosus (SLE) often suffer from chronic pain. Little is known about the peripheral mechanisms underlying the genesis of chronic pain induced by SLE. The aim of this study was to investigate whether and how membrane properties in nociceptive neurons in the dorsal root ganglions (DRGs) are altered by SLE. We found elevation of resting membrane potentials, smaller capacitances, lower action potential thresholds and rheobases in nociceptive neurons in the DRGs from MRL/lpr mice (an SLE mouse model) with thermal hyperalgesia. DRGs from MRL/lpr mice had increased protein expressions in TNFα, IL-1β, and phosphorylated ERK but suppressed AMPK activity, and no changes in sodium channel 1.7 protein expression. We showed that intraplantar injection of Compound C (an AMPK inhibitor) induced thermal hyperalgesia in normal mice while intraplantar injection of AICAR (an AMPK activator) reduced thermal hyperalgesia in MRL/Lpr mice. Upon inhibition of AMPK membrane properties in nociceptive neurons from normal control mice could be rapidly switched to those found in SLE mice with thermal hyperalgesia. Our study indicates that increased excitability in peripheral nociceptive sensory neurons contributes to the genesis of thermal hyperalgesia in mice with SLE, and AMPK regulates membrane properties in nociceptive sensory neurons as well as thermal hyperalgesia in mice with SLE. Our study provides a basis for targeting signaling pathways regulating membrane properties of peripheral nociceptive neurons as a means for conquering chronic pain caused by SLE.

Barriers and facilitators of brown rice consumption among staff at Durban University of Technology, South Africa

South Africa is experiencing an epidemiological and nutrition transition that is characterised by a surge in the prevalence of overweight and obesity, with an increase in the consumption of energy-dense, low nutritive value foods and beverages and a marked decrease in physical activity. Numerous studies have documented the healthful benefits of making the transitional shift from white rice to brown rice. The aim of this study was to explore the barriers and facilitators of brown rice consumption among staff at Durban University of Technology in South Africa. In this exploratory qualitative study, focus group discussions (FGDs) were conducted to gain an understanding of brown rice consumption among staff at the university. The study sample comprised of non-diabetic, permanent and contract staff at the University. Three focus group discussions were conducted until meaning saturation was reached; two were face to face and one online. Data were analysed using the thematic analysis method. Participants perceived healthy foods as safe and nutrient-dense, with consumption leading to positive health outcomes whereas unhealthy foods were perceived as energy-dense, nutrient-poor and hyper-palatable. The main determinants of food choice included peer and family influence, psychological state, education, availability, affordability, state of health and taste. Factors that influenced rice choice included sensory acceptability, availability, affordability, cultural acceptability, and convenience. Major barriers of brown rice consumption included family preferences and influence, sensory acceptability, time-intensive preparation, affordability, knowledge and skills. Two facilitators of brown rice consumption emerged: natural sensory appeal and healthful benefits. The sensory attributes of brown rice have had limited consumer acceptance, compelling the activation of consumer education and visually enticing cues in preparation methods and extended application uses in food products. This study found that the inclusion and acceptance of brown rice into the participants’ diet is limited. A multi-stakeholder approach towards consumer education and practical preparation solutions is likely to positively influence consumer acceptance of brown rice. Innovative and creative food behaviour modifications should be promoted to channel change towards healthier food choices for a positive impact on health and wellness. Key words: Brown rice, focus group discussions, perception, barriers, facilitators, consumption

Morphological adjustments of the Yamuna River in the Himalayan foothills in response to natural and anthropogenic stresses

AbstractRivers can adjust to natural and anthropogenic stresses through changes in flow regime and sediment dynamics. Flow regulation due to dam construction can modify sediment transport processes, causing morphological adjustments and changes in conveyance capacity. In this study, we explored morphological adjustments along a 46 km segment of the Yamuna River in the Himalayan foothills from Dakpathar Barrage to Hathni Kund Barrage using a combination of remote sensing approaches. The cloud computing platform Google Earth Engine (GEE) was used to analyse multi‐temporal collections of Landsat satellite imagery acquired between 1989 and 2021. Active river channels (including water and exposed sediment) were classified using an MNDWI and NDVI thresholding approach from annually resolved temporal composite images. Declassified CORONA satellite imagery (acquired in 1965, 1973 and 1976) was manually digitized to provide longer‐term insights into channel change. Morphological adjustments were assessed using the RivMAP toolbox, providing quantitative information on the rates of bank erosion and accretion, bank line shifts and changes in active channel width. Results showed a substantial narrowing of the active channel after 2013, which coincided with the construction of the Lakhwar‐Vyasi Dam. We calculated a 67% reduction in mean active channel width, narrowing from ~800 m in 1989 to ~250 m in 2021. During the same period, evidence of sand mining in the active channel indicates a substantial increase in mining activities after 2015. The concept of stasis was explored under different flow regulation scenarios to suggest that the river has undergone a state of inactivity, where the river is doing nothing for much longer durations. We suggest that the combined effects of flow regulation and increased mining activities during the same period have altered river morphology, and further stresses due to a combination of human activities can be damaging for the river regime. This study sheds light on the potential implications of multiple stresses acting on the Yamuna River at the same time, which can inform future sustainable river management activities.