Ecological Footprint accounting quantifies the supply and demand of Earth’s biocapacity. The National Accounts (NFA) are most widely used (EF) dataset, provide results for countries world from 1961 to 2014, based primarily on publicly available UN datasets. Here, we review evolution NFA, describe quantify effects improvements that have been implemented into accounts since 2012 edition, latest global trends. Comparing over six editions NFAs, find time-series trends in remain stable, common...

Decreasing the crystal growth time and increasing number of nuclei produced high quality perovskite films toward large-area high-efficiency solar cells.

The graphics processing unit (GPU) has emerged as a computational accelerator that dramatically reduces the time to discovery in high-end computing (HEC). However, while today's state-of-the-art GPU can easily reduce execution of parallel code by many orders magnitude, it arguably comes at expense significant power and energy consumption. For example, NVIDIA GTX 280 video card is rated 236 watts, which much rest compute node, thus requiring 500-W supply. As consequence, been viewed...

Feature extraction is an essential part in applications that require computer vision to recognize objects image processed. To extract the features robustly, feature algorithms are often very demanding computation so performance achieved by pure software far from real-time. Among those algorithms, scale-invariant transform (SIFT) has gained a lot of popularity recently. In this paper, we propose all-hardware SIFT accelerator-the fastest its kind our knowledge. It consists two interactive...

SRAM has been under its renovation stage recently, aiming to withstand the ever-increasing process variation as well support ultra-low-power applications using even subthreshold supply voltages. We present in this paper a novel P-P-N-based 10T cell, which latch is formed essentially by cross-coupled P-P-N inverter pair. This type of cell can operate at voltage low 285 mV while still demonstrating high resilience variation. Its noise margin elevated not only hold state, but also read...

This paper presents an eco-friendly daemon that reduces power and energy consumption while better maintaining high performance via accurate workload characterization infers ldquoprocessor stall cycles due to off-chip activities.rdquo The is interval-based, run-time algorithm uses the dynamically adjust a processorpsilas frequency voltage reduce with little impact on application performance. Using NAS Parallel Benchmarks as our workload, we then evaluate cluster computer. results indicate...

SnO₂-modified TiO₂ films fabricated at low temperatures toward stable, high-efficiency and less-hysteresis planar perovskite solar modules.

The efficiencies of organic–inorganic lead halide perovskite solar cells (PSCs) have significantly increased so far, but the long‐term stability PSCs needs to be urgently improved. In this work, a novel and convenient strategy is developed improve PSCs’ by introducing thiourea into perovskite. Thiourea passivates formation PbS bond on outermost layer lath‐shaped grain among perovskites, which contributes improvement oxygen, light, thermal stability, little hysteresis. mechanism elucidated...

We investigate the charge and thermoelectric transport in modulation-doped large-area rubrene thin-film crystals with different crystal phases. show that modulation doping allows achieving superior efficiencies even for high densities, when conventional bulk runs into reserve regime. Modulation-doped orthorhombic achieves much improved power factors, exceeding 20 μW m-1 K-2 at 80°C. Theoretical studies give insight energy landscape of heterostructures its influence on qualitative trends...

We introduce SwiftSage, a novel agent framework inspired by the dual-process theory of human cognition, designed to excel in action planning for complex interactive reasoning tasks. SwiftSage integrates strengths behavior cloning and prompting large language models (LLMs) enhance task completion performance. The comprises two primary modules: Swift module, representing fast intuitive thinking, Sage emulating deliberate thought processes. module is small encoder-decoder LM fine-tuned on...

Testing the quality of prebond through-silicon vias (TSV) is a vital part Known-Good-Die test that often necessary to retain high compound yield for 3-D stacked integrated circuits. In this paper, we present versatile TSV method applicable before wafer thinning when deep end inaccessible as buried in still-thick wafer. Technical merits include: 1) ability handle both resistive open fault and leakage same structure; 2) capability allows an user have better measure severity fault; 3)...

In this work, we present a robust small delay test scheme for through-silicon vias (TSVs) in 3D IC. By changing the output inverter's threshold of TSV testable oscillation ring structure, can approximate propagation across that TSV, and thereby detecting fault. SPICE simulation reveals Variable Output Thresholding (VOT) technique is still effective even when there significant process variation slow with some resistive open defect may escape traditional at-speed test.

Organometal halide perovskites have exhibited a bright future as photovoltaic semiconductor in next-generation solar cells because of their unique and promising physicochemical properties. However, large-area perovskite (PSCs) suffered from problems low efficiency with large active area output module designing. Herein, we research the influence length width on performance when device areas are increased design series parallel connection for PSC modules. The results show that high...

The determination of charged particle trajectories in collisions at the CERN Large Hadron Collider (LHC) is an important but challenging problem, especially high interaction density conditions expected during future high-luminosity phase LHC (HL-LHC). Graph neural networks (GNNs) are a type geometric deep learning algorithm that has successfully been applied to this task by embedding tracker data as graph—nodes represent hits, while edges possible track segments—and classifying true or fake...

In this paper, we propose a method that can characterize the propagation delays across Through Silicon Vias (TSVs) in 3D IC. We adopt concept of oscillation test, which two TSVs are connected with some peripheral circuit to form an ring. Upon foundation, technique called sensitivity analysis further derive delay each individual TSV participating ring-a distilling process. process, perturb strength drivers, and then measure their effects terms change ring's period. By following analysis, be...

With the development of electric vehicle (EV), end-of-life (EOL) management has become a significant challenge. This study sets two EV sales scenarios (low and high), compares impact battery replacement methods (buying new or replacing battery) on future EOL production, predicts difference in amount production under probability functions (normal Weibull's distributions). The results show that when power is retired owner chooses to buy vehicle, predicted scrap quantity low high (HS) 2030 4.3...

Background Adverse left ventricular remodeling and subsequent heart failure remain a major cause of patient morbidity mortality worldwide. The KLF family transcription factors plays crucial roles in injury. KLF12 (Krüppel‐like factor 12) is that regulates multiple disease processes, although the specific role cardiac remains unclear. Methods Results In our study, we observed significant upregulation expression hearts. increased primarily originated from fibroblasts during fibrotic response...

The radioactive nature of Large Language Model (LLM) watermarking enables the detection watermarks inherited by student models when trained on outputs watermarked teacher models, making it a promising tool for preventing unauthorized knowledge distillation. However, robustness watermark radioactivity against adversarial actors remains largely unexplored. In this paper, we investigate whether can acquire capabilities through distillation while avoiding inheritance. We propose two categories...

The dysregulation of microRNAs (miRNAs) is associated with various diseases, including cancer, so miRNAs are considered a potential biomarker candidate for disease diagnosis and therapy. However, the direct, rapid, sensitive, specific detection remains quite challenging due to their short length, sequence homology, low abundance. Herein, we propose simple homogeneous fluorescence anisotropy (FA) strategy direct rapid (∼35 min) quantification miRNA-21 based on duplex-specific nuclease...

In this paper we address the scan chain diagnosis problem. We propose a new flow based on concept of signal profiling to accurately pinpoint location faulty flip-flop in chain. As compared conventional cause-effect or effect-cause analysis, approach is much more computationally efficient because it does not have simulate behaviors large number fault candidates. Also, general and applicable all kinds faults assume any specific model. Experimental results indicate that can instantly catch...

In this paper, we propose a parameterized digitally controlled oscillator that can produce oscillating-clock signal with the tunable frequency covering an entire designated range. Moreover, formulate all-digital phase-locked loop optimization process as search problem, during which find good configuration not only meets user-defined requirement but also achieves smaller area and lower power consumption than typical manual design. The silicon measurement results show is indeed promising new...