Output Loss Research Articles

Design and Implementation of High QoS 3D-NoC using Modified Double Particle Swarm Optimization on FPGA

One technique to overcome the exponential growth bottleneck is to increase the number of cores on a processor, although having too many cores might cause issues including chip overheating and communication blockage. The problem of the communication bottleneck on the chip is presently effectively resolved by networks-on-chip (NoC). A 3D stack of chips is now possible, thanks to recent developments in IC manufacturing techniques, enabling to reduce of chip area while increasing chip throughput and reducing power consumption. The automated process associated with mapping applications to form three-dimensional NoC architectures is a significant new path in 3D NoC research. This work proposes a 3D NoC partitioning approach that can identify the 3D NoC region that has to be mapped. A double particle swarm optimization (DPSO) inspired algorithmic technique, which may combine the characteristics having neighbourhood search and genetic architectures, also addresses the challenge of a particle swarm algorithm descending into local optimal solutions. Experimental evidence supports the claim that this hybrid optimization algorithm based on Double Particle Swarm Optimisation outperforms the conventional heuristic technique in terms of output rate and loss in energy. The findings demonstrate that in a network of the same size, the newly introduced router delivers the lowest loss on the longest path. Three factors, namely energy, latency or delay, and throughput, are compared between the suggested 3D mesh ONoC and its 2D version. When comparing power consumption between 3D ONoC and its electronic and 2D equivalents, which both have 512 IP cores, it may save roughly 79.9% of the energy used by the electronic counterpart and 24.3% of the energy used by the latter. The network efficiency of the 3D mesh ONoC is simulated by DPSO in a variety of configurations. The outcomes also demonstrate an increase in performance over the 2D ONoC. As a flexible communication solution, Network-On-Chips (NoCs) have been frequently employed in the development of multiprocessor system-on-chips (MPSoCs). By outsourcing their communication activities, NoCs permit on-chip Intellectual Property (IP) cores to communicate with one another and function at a better level. The important components in assigning application duties, distributing the work to the IPs, and coordinating communication among them are mapping and scheduling methods. This study aims to present an entirely advanced form of research in the area of 3D NoC mapping and scheduling applications, grouping the results according to various parameters and offering several suggestions for further research.

The Western Cape Surgical Recovery Project: experience at Groote Schuur Hospital

Background Data from six Western Cape secondary-level hospitals have shown that during the first wave of the COVID-19 pandemic (which lasted from May to July of 2020), total surgeries decreased by 44%, and elective surgeries by 74%, due to secondment of nursing, anaesthetic and surgical staff to COVID high-care and intensive-care services. At Groote Schuur Hospital, the loss of surgical output over the two years of the pandemic-related surgical service de-escalation (2020-2021) was estimated at 10 000 cases, with 6 000 patients with progressive disease waiting for elective surgical care. Methods In early May 2022, a Surgical Recovery Project was initiated; funding from the Western Cape Department of Health, and donations from the Gift of the Givers Foundation, private individuals, businesses, and other non-governmental organisations were used to build, staff, and equip a Day-Case Surgery Suite. Results By the Project midway point (end October 2022), a total of 800 extra cases had been completed, and the Project is currently on track to exceed the target of 1 500 cases in a calendar year by at least 10%. The largest number of procedures done were eye cases (n = 191), followed by cases involving surgery to the integumentary system (n = 141), and musculoskeletal system cases (n = 123). There were a total of 30 patient cancellations. While the Project expectedly had poorer on-time-start statistics in the first quarter of operation (range 0.0 - 6.9%), the percentage of on-time-start statistics improved markedly over the second quarter (range 43.3 - 56.5%). World Health Organization checklists were completed for 85.1% of operations performed at the Day-Case Surgery Suite, and no adverse incidents or mortalities were recorded at the Unit. Conclusions This project demonstrates that the volume of services provided in the public sector can be escalated with the use of external funding of capital for human resources, equipment and consumables. However, these services become truly effective when there is sufficient multi-disciplinary planning, alignment and support, at operational, strategic and executive levels of healthcare facilities.

Rural Farmers’ Perceptions for the Impacts of Climate Change and Adaptation Policies on Wheat Productivity: Insights from a Recent Study in Balochistan, Pakistan

Climate change (CC) is a worldwide environmental issue affecting all economic sectors, especially agriculture. Pakistan is one of the countries most affected by CC due to the country’s vulnerability to catastrophic events and limited ability to adapt. Assessing existing activities for adaptation to CC at the farm level is critical to understanding their success and recommending additional government measures. This study analyzes possible farming practice modifications that Pakistani farmers may adopt to reduce the loss of agricultural output due to the rising prevalence of dangerous weather events by CC. Data for the current research were gathered from 432 wheat farmers in rural Pakistan. This article investigates many factors that impact farmers’ decisions to CC adaptation in crop production utilizing binary logit (BL) and multivariate probit (MVP) models. Gender, education level, farming experience, farm size, level of damage, access to finance, and training participation are characteristics that substantially affect farmers’ likelihood of adapting to CC. Farm size and participation in CC training were the most critical factors influencing farmers’ CC adaptation decisions. Policy recommendations were presented to increase the farmers’ resilience in the study areas to CC. These comprise expanding CC training courses, developing regulations to encourage agricultural integration, and integrating CC and adaptation to CC principles into the operations of regional organizations. Finally, based on the findings, policymakers will be better equipped to address the challenges posed by CC and create a more resilient agricultural sector. This, in turn, will contribute to improving food security, ensuring sustainable agricultural growth.

Experimental investigation of soiling impact on PV module performance in Yanbu Al Sinaiyah, Saudi Arabia

For many years, photovoltaic (PV) modules have seen widespread use as one of the most effective solutions to meet the growing demand for clean energy. However, compared with other power generation technologies, PV modules still face operational challenges, especially in industrial cities and the harsh environmental conditions of arid coastal regions. This study examines the effects of dust, sand grains and soiling characterisation on the efficiency of PV modules under different environmental conditions. The researcher used PV modules of two different technologies (Mono-Si and Poly-Si), two different tilt angles (10° and 24°), and two different surface conditions (clean and soiled) for their experiments. The study was conducted over a period of two years in Yanbu, an industrial city on the western coast of the Kingdom of Saudi Arabia. It was the first study of its kind in this city. The main findings indicate that the more the PV module was able to capture solar radiation, the less it resisted soiling effect. The mono-Si module outperformed the poly-Si module by 13.7% on average for both clean and soiled modules over the period of the study. However, the losses in power output due to the impact of soiling on the poly-Si modules were less on average by 11% when compared to the mono-Si modules. The overall average power losses for both mono-Si and poly-Si modules were lower by around 40% when installed at the 24° tilt angle. The study of dust particles' morphology and chemical compositions, along with the collected environmental data, confirmed that the dust-induced shade effect could contribute to the soiling impact on PV modules.

Coordinated optimization model for solar PV systems integrated into DC distribution networks

AbstractSolar photovoltaic (PV) systems will drive deep electrification of energy systems leading to clean energy 2050. However, connecting large amounts of solar PV systems on direct current (DC) networks, like solar farms and potential future DC distribution systems, would lead to over voltages and loss of solar PV power output due to voltage issues. Further, current PV integration within distribution networks operate exclusively to maximize output using maximum power point tracking algorithms, without network coordination, which may lead to reduced solar output due to voltage issues. Here, a coordinated optimization model for solar PV systems and distribution network voltage regulators is presented. The proposed model optimally controls the settings of voltage controllers (DC‐DC converters), placed at the outputs of solar PV units and selected distribution lines, while maximizing solar power output and minimizing substation power (i.e. system losses). The solar PV systems are modelled using a trained neural network. Testing various systems against uncoordinated situations revealed that the proposed model yielded an increase in solar power of up to 60.06%, in the 28‐bus case. The proposed method will be an excellent tool enabling deep electrification using solar PV system and it overcomes limitations of uncoordinated systems used in practice today.

Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss

BackgroundRetinal vessel segmentation provides an important basis for determining the geometric characteristics of retinal vessels and the diagnosis of related diseases. The retinal vessels are mainly composed of coarse vessels and fine vessels, and the vessels have the problem of uneven distribution of coarse and fine vessels. At present, the common retinal blood vessel segmentation network based on deep learning can easily extract coarse vessels, but it ignores the more difficult to extract fine vessels.MethodsScale-aware dense residual model, multi-output weighted loss and attention mechanism are proposed and incorporated into the U-shape network. The model is proposed to extract image features through residual module, and using a multi-scale feature aggregation method to extract the deep information of the network after the last encoder layer, and upsampling output at each decoder layer, compare the output results of each decoder layer with the ground truth separately to obtain multiple output losses, and the last layer of the decoder layers is used as the final prediction output.ResultThe proposed network is tested on DRIVE and STARE. The evaluation indicators used in this paper are dice, accuracy, mIoU and recall rate. On the DRIVE dataset, the four indicators are respectively 80.40%, 96.67%, 82.14% and 88.10%; on the STARE dataset, the four indicators are respectively 83.41%, 97.39%, 84.38% and 88.84%.ConclusionThe experiment result proves that the network in this paper has better performance, can extract more continuous fine vessels, and reduces the problem of missing segmentation and false segmentation to a certain extent.

Internet Use, Subjective Well-Being, and Environmentally Friendly Practices in Rural China: An Empirical Analysis

Expanding internet connectivity to rural areas requires a comprehensive understanding of the influence path among internet usage, subjective well-being (SWB), and environmentally friendly agricultural practices (EAPs) of farmers. This study aimed to analyze the direct and indirect effects of internet use by employing structural equation modeling. Farmers with improved internet access adopted more EAPs, resulting in output loss (EAPOs) and increased time investment (EAPTs). However, increased internet function utilization negatively affected EAPs involving additional expenses (EAPEs). Although SWB increased EAP engagement, income satisfaction could decrease EAPEs and EAPTs. The impact of internet use on SWB initially increased but later declined with increased internet usage, indirectly affecting EAPs. This may strengthen the positive total effect or alleviate the negative total effect. Young individuals, higher-income households, educated individuals, and members of the Communist Party of China (CPC) were more inclined to adopt EAPs, as they helped mitigate the adverse influence of negative online information and enhance overall well-being. Consequently, it is imperative to provide internet usage education and training, utilize more internet features, including e-commerce or microcredit, to incentivize EAP adoption, address and alleviate negative emotions from the internet promptly, prioritize providing education to young rural residents, and empower CPC members in advocating for sustainable practices.

Numerical and Experimental Investigations of Deicing Performance for the Pneumatic Impulse Deicing Method

Wind turbines operating in cold regions are more likely to sustain extreme icing, causing the degradation of aerodynamic performance and the loss of wind energy output. This paper proposed a pneumatic impulse deicing method based on the conventional pneumatic deicing boot. This method’s simplified numerical simulation model was built using the commercial software ABAQUS to explore whether this method can deice. After that, experimental investigations were carried out in an artificial climate chamber to verify the deicing performance of specimens using this proposed method. Numerical and experimental results show that the pneumatic impulse deicing method could eliminate the ice layer with a smaller displacement and shorter time than the conventional pneumatic deicing boot. The ice layer’s thickening and inflation pressure enhancement benefit the deicing performance. Experiment results proved that the pneumatic impulse deicing method performs better under inflation pressures of 1.5 MPa and 2.5 MPa with an ice thickness of 6 mm or 8 mm.

Viral shocks to the world economy

We construct a global index of epidemic news based on text analysis of newspapers from 17 countries. We apply the index to study the economic consequences of epidemics on the world economy in structural vector autoregressions. Epidemic shocks exert significantly and persistently negative effects on output and prices that last for up to two years. There is no quick recovery and no overshooting. The output losses are permanent. Country studies show that the direct effects are substantially larger than the indirect effects through trade and financial markets. Furthermore, the simultaneous fall of output and prices suggests that demand dominate supply contractions and that monetary and fiscal stimuli are appropriate crisis responses to minimize permanent output losses.

Tissue-specific differences in the assembly of mitochondrial Complex I are revealed by a novel ENU mutation in ECSIT.

Mitochondrial Complex I assembly (MCIA) is a multi-step process that necessitates the involvement of a variety of assembly factors and chaperones to ensure that the final active enzyme is correctly assembled. The role of the assembly factor evolutionarily conserved signalling intermediate in the toll (ECSIT) pathway was studied across various murine tissues to determine its role in this process and how this varied between tissues of varying energetic demands. We hypothesized that many of the known functions of ECSIT were unhindered by the introduction of an ENU-induced mutation, while its role in Complex I assembly was affected on a tissue-specific basis. Here, we describe a mutation in the MCIA factor ECSIT that reveals tissue-specific requirements for ECSIT in Complex I assembly. MCIA is a multi-step process dependent on assembly factors that organize and arrange the individual subunits, allowing for their incorporation into the complete enzyme complex. We have identified an ENU-induced mutation in ECSIT (N209I) that exhibits a profound effect on Complex I component expression and assembly in heart tissue, resulting in hypertrophic cardiomyopathy in the absence of other phenotypes. The dysfunction of Complex I appears to be cardiac specific, leading to a loss of mitochondrial output as measured by Seahorse extracellular flux and various biochemical assays in heart tissue, while mitochondria from other tissues were unaffected. These data suggest that the mechanisms underlying Complex I assembly and activity may have tissue-specific elements tailored to the specific demands of cells and tissues. Our data suggest that tissues with high-energy demands, such as the heart, may utilize assembly factors in different ways to low-energy tissues in order to improve mitochondrial output. These data have implications for the diagnosis and treatment of various disorders of mitochondrial function as well as cardiac hypertrophy with no identifiable underlying genetic cause.

Macroeconomic effects of fiscal consolidation on economic activity in SSA countries

This paper studies the effects of fiscal measures in 40 sub-Saharan countries on economic output, unemployment, consumption, private investment, REER, and current account balance. The study estimates impulse response functions with local projections, based on a yearly dataset covering 40 countries over 2000–2019. The key variable in the dataset is a measure of fiscal stance computed following Blanchard (1993), with a threshold of 1.5%. The study finds that in the short run, fiscal consolidation reduces real GDP and private demand. In addition, the current account balance responds positively to a shock in fiscal consolidation, whereas the real effective exchange rate responds negatively. Moreover, compared with revenue-based consolidations, spending-based consolidations lead to smaller losses in output. Our finding also reveals that fiscal consolidations also depend on economic cycles, with a lower output loss during an economic boom. Finally, this study suggests that fiscal consolidations should be carried out based on spending-based consolidations and have to be preceded by an economic boom.

The impact of absent co-workers on productivity in teams

We study how workers in production teams are affected by the temporary absence and replacement of a co-worker using data on injuries in the National Hockey League. We distinguish between the absence of a substitute worker, who performs the same tasks as the focal workers, and the absence of a complementary co-workers, who performs complementary tasks to the focal workers. When either type of co-worker is absent, remaining workers produce less output per working time. In the case of a substitute absentee, they compensate for this by increasing their working time at the expense of the (less able) replacement worker. This renders the output loss per remaining substitute worker to be insignificant. For the absence of a complementary worker, the productivity loss leads to a loss of total output per worker, because remaining workers cannot take over the absent co-worker’s tasks.

Assessing the Regional Economic Ripple Effect of Flood Disasters Based on a Spatial Computable General Equilibrium Model Considering Traffic Disruptions

With growing regional economic integration, transportation systems have become critical to regional development and economic vitality but vulnerable to disasters. However, the regional economic ripple effect of a disaster is difficult to quantify accurately, especially considering the cumulated influence of traffic disruptions. This study explored integrating transportation system analysis with economic modeling to capture the regional economic ripple effect. A state-of-the-art spatial computable general equilibrium model is leveraged to simulate the operation of the economic system, and the marginal rate of transport cost is introduced to reflect traffic network damage post-disaster. The model is applied to the 50-year return period flood in 2020 in Hubei Province, China. The results show the following. First, when traffic disruption costs are considered, the total output loss of non-affected areas is 1.81 times than before, and non-negligible losses reach relatively remote zones of the country, such as the Northwest Comprehensive Economic Zone (36% of total ripple effects). Second, traffic disruptions have a significant hindering effect on regional trade activities, especially in the regional intermediate input—about three times more than before. The industries most sensitive to traffic disruptions were transportation, storage, and postal service (5 times), and processing and assembly manufacturing (4.4 times). Third, the longer the distance, the stronger traffic disruptions’ impact on interregional intermediate inputs. Thus, increasing investment in transportation infrastructure significantly contributes to mitigating disaster ripple effects and accelerating the process of industrial recovery in affected areas.

Firm-bank linkages and optimal policies after a rare disaster

We study optimal government support following a rare disaster that creates heterogeneous firm liquidity needs. Firms’ increase in debt reduces their output due to moral hazard. Banks are subject to a minimum capital requirement that limits deposit insurance costs upon bad aggregate shocks. Without government support, firms’ moral hazard and banks’ funding frictions reinforce each other amplifying output losses. Optimal support is implemented with firm-specific transfers combined with the provision of aggregate risk insurance through a capital requirement relaxation and a public preferred equity stake in banks. Our results shed light on suboptimality features in the actual policy responses to Covid-19 lockdowns.

A regional input-output model of the COVID-19 crisis in Italy: decomposing demand and supply factors

We propose an empirically estimated inter-regional input-output model of the Italian economy designed for COVID-19 impact assessment, intended as a tool for public authorities facing comparable adverse events and requiring timely estimates of sectoral and regional economic impacts. We evaluate the contributions of demand- and supply-side factors to output losses in Italy during the pandemic, providing insights on the suitability of demand- and supply-side policies. Supply-side shocks, as a consequence of mandated closures, are the primary driver of output losses only during the nationwide lockdown of spring 2020. During the following stages, changes in final demand due to income losses and changes in mobility play a pivotal role at the aggregate, regional, and sectoral levels. While this result supports demand-side policies, the efficacy of such policies may be hampered when final consumption demand is low chiefly due to reduced mobility rather than income losses.

P358 FATAL CONSPIRACY: MIDVENTRICULAR OBSTRUCTIVE HYPERTROPHIC CARDIOMYOPATHY COMPLICATED BY GIANT APICAL ANEURYSM AND SEVERE MITRAL REGURGITATION

Abstract This case refers to a 69–year–old woman with a history of hypertrophic cardiomyopathy (HCM) with severe mid–ventricular obstruction complicated by apical aneurysm and restrictive phenotype. This patient had no left ventricular outflow tract obstruction and previous examinations showed moderate mitral regurgitation (MR) with suboptimal echocardiographic follow–up. ICD was previously implanted for primary prevention. Disease progression was complicated by episodes of acute heart failure (HF) caused by atrial fibrillation/tachycardia (AF or AT) with rapid ventricular response despite pharmacological therapy and a transcatheter ablation attempt. The patient was admitted to our Cardiac Intensive Care Unit with acute pulmonary oedema and extreme general frailty. EKG showed normal sinus rhythm alternating with AT with high ventricular rate. Transthoracic (TTE) and transesophageal (TEE) echocardiograms gave evidence of severe hypertrophy of left ventricular (LV) mid–cavity segments (mid IVS = 26 mm) with mid–ventricular systolic obliteration (with no more evidence of significant gradient) and a large apical aneurysm (37x35 mm) resulting in an “hourglass” shaped LV cavity (Figure 1). In addition the examinations highlighted systolic dysfunction with severe stroke volume reduction and severe MR caused by annulus dilatation with anterior jet direction due to leaflets abnormal coaptation (Figure 2). HF was multifactorial, caused not only by MR and atrial tachyarrhythmias but also due to the abnormal large apical aneurysm and the small left ventricular chamber with low compliance. The anatomical features obtained from TEE and cardiac CT (Figure 3) were analyzed by the Heart Team. Surgery with aneurysmectomy and mitral valve repair or replacement was excluded due to patient‘s frailty. Despite the suboptimal valve and LV chamber anatomy, percutaneous mitral valve repair with MitraClip was considered but also deferred owing to the unstable hemodynamic conditions. Further hemodynamic deterioration led to the patient’s exitus. Discussion HCM with mid–ventricular obstruction may be complicated by apical aneurysm. Large apical aneurysms can reduce LV contractile efficiency and the combination with severe MR can cause further loss of anterograde cardiac output leading to a progressive and fatal deterioration. A better outcome can only be achieved through careful follow–up and early detection and management of disease complications.

Generating performance of a tubular permanent magnet linear generator for application on free-piston engine generator prototype with wide-ranging operating parameters

This paper proposes a tubular permanent magnet linear generator (TPMLG) applied to the free-piston engine generator and establishes a test rig of the TPMLG. A large amount of experimental data was obtained under unfired conditions and a 2D finite element model of the TPMLG was developed and validated. Then, the electromagnetic characteristics were analyzed under no-load and load conditions. The effects of motion profile, operating frequency, velocity, stroke length, oscillation center position and load resistance on the output performance and generating efficiency (η) of TPMLG were investigated. Results show that the phase angle and distortion rate of the output voltage and current will vary under different motion profiles. As the operating frequency, velocity and stroke length increase, the output voltage, current, power and loss power increase gradually, while η increases at first and subsequently plateaus. When peak velocity is fixed and stroke length increases, both output power and copper loss rapidly increase and then remain steady. Meanwhile, there is only a slight change in generating efficiency. There is an optimal load resistance of approximately 6 Ω needed to achieve maximum output power. When load resistance is greater than 40 Ω, changes in load voltage, current and η become insignificant and the η reaches a maximum of 92.54%. Furthermore, the OCP changes the load voltage and current curves but has little effect on output power in terms of the RMS value.

Estimating the CO2 marginal abatement cost and implications for climate policies in China’s industrial sector: A firm-level analysis

ABSTRACT This paper presents an in-depth analysis of the Marginal Abatement Cost Curve (MACC) for CO2 of China’s industrial sector. Leveraging comprehensive firm-level panel data spanning the period 2011–2015, we employ a parameterized directional output distance function to estimate the shadow price of CO2. By doing so, we derive the marginal abatement cost for individual firms across different years, which provides crucial insights into two fundamental aspects: first, the variation in shadow prices as indicators of the economic efficiency of existing climate policies; and second, the carbon price levels necessary to achieve CO2 mitigation targets in the future. Furthermore, we conduct scenario simulations to assess the potential industrial output loss resulting from forthcoming carbon policies, such as the European Union’s Carbon Border Adjustment Mechanism (CBAM). Our findings underscore the necessity for a considerably higher tax rate to stimulate pollution reduction in order to meet the desired emission targets.

Productive and Economic Evaluation of Potato Hybrids under Different Water Stress Conditions

As the scarcity of water increases, India will face the problem of decreasing annual freshwater use per capita. Drought can cause significant output losses, particularly for crops with shallow root system like potato (Solanum tuberosum). An experiment was carried out to measure the effects of different levels of irrigation on yield parameters of different potato hybrids under water stress conditions during the winter season 2018-19 in open field conditions at the field of department of vegetable science in CCS Haryana Agricultural University, Hisar. The experiment included four irrigation levels I1 (irrigation at 20mm Cummulative Pan Evaporimeter (CPE)), I2 (irigation at 25mm CPE), I3 (irrigation at 30mm CPE) and I4 (irrigation at 30mm CPE + 5 t/ha grass mulch) and five potato hybrids under two different crops at 60 and 75 days. The results revealed that yield parameters i.e., total tuber yield, number of tubers in each grade, yield of tubers in each grade, harvest index, and biological yield were higher in both 60 and 75 days of crops under irrigation level 20 mm CPE (I1) and hybrid P-38. But, under water-stressed conditions, hybrid P-38 with an I4 schedule saves one irrigation and yields more than I3. The maximum water use efficiency (19.27 and 20.56 q/ha/mm) was attained with irrigation level I4 in 60 and 75 days of crop. In water stress conditions (I4) potato hybrid P-38 produced the highest net returns and benefit cost ratio (1.49 and 2.29). It was found that the potato hybrid P-38 with I4 was more cost-effective and produced more tubers in areas with lower water tables and less water.

Host‐Guest Complexation Strategy for Passivating Pb‐Dimer Related Defects in Perovskite Photovoltaics

AbstractAlthough there is extensive attention to the eminent perovskite solar cells, the deep‐level defects such as Pb‐Pb dimers in the solution‐processed polycrystalline perovskites inevitably result in photovoltaic output losses and subsequent degradation. Recently, it is reported that an electron‐donating group can passivate Pb dimer defects efficiently. However, the mechanism for the causation of metallic lead (Pb0) from the iodide vacancy (VI) is unclear. Herein, a chain reaction mechanism is proposed for the possible transformation process from VI to Pb0 with the Pb dimer intermediates. In this regard, a host‐guest strategy is adopted by using 4‐tert‐Butyl‐1‐(ethoxycarbonyl‐ methoxy) thiacalix[4]arene (tBuTCA) to complex with the cations and out‐of‐cage (Lead(II) iodide) PbI2. Moreover, a host‐guest complexation can be formed due to the Pb2+‐π interactions. Continuously, the negative charge compensation for iodine vacancy can hinder the formation of Pb‐Pb dimer, thus significantly suppressing non‐radiative recombination. Consequently, the resulting solar cells show more than 24% power conversion efficiencies and maintain over 96% of their initial performance without encapsulation for 486 h under an ambient environment. This work highlights the significance of supramolecular engineering in constructing a high‐quality perovskite for efficient and stable perovskite solar cells.