Experimental evaluation of the impact of CO/N mixture on residual water saturation during CO storage in saline aquifer.

Residual water critically constrains CO geological storage efficiency, yet we discover that elevated CO concentration in gas mixtures systematically reduces its saturation. By revealing that N co-injection paradoxically enhances storage safety despite increasing residual water, this work provides transformative strategies for optimizing carbon sequestration with impurities. Specifically, in this study, nine sets of core-flooding experiments were conducted using three different ratios of a CO/N gas mixture (50 % CO + 50 % N, 75 % CO + 25 % N, and 99.

Nickel-iron alloy films electrodeposited from metal salt-l-serine deep eutectic solvent for alkaline oxygen evolution reaction.

Active and stable electrocatalysts for oxygen evolution reaction (OER) is crutial in the widespread application of hydrogen production from water electrolyzers. Here, deep eutectic solvents formed from metal chlorides and l-serine are utilized as the electrolyte to deposit metal films (Ni, Fe, and Ni-Fe alloys) under potentiostatic conditions onto nickel foam (NF) substrate. The deposited films are characterized, and the Ni-Fe alloy films constituting of nanometer-sized crystalline regions.

Convolution Filter Compression via Sparse Linear Combinations of Quantized Basis.

Convolutional neural networks (CNNs) have achieved significant performance on various real-life tasks. However, the large number of parameters in convolutional layers requires huge storage and computation resources, making it challenging to deploy CNNs on memory-constrained embedded devices. In this article, we propose a novel compression method that generates the convolution filters in each layer using a set of learnable low-dimensional quantized filter bases.

Construction of iron-doped nickel cobalt phosphide nanoparticles via solvothermal phosphidization and their application in alkaline oxygen evolution.

Multi-metallic phosphides offer the possibility to combine the strategies of surface reconstruction, electronic interaction and mechanistic pathway tuning to achieve high electrocatalytic oxygen evolution activity. Here, iron-doped nickel cobalt phosphide nanoparticles (FeCoNiP) with the crystalline NiCoP phase are for the first time synthesized by the solvothermal phosphidization method via the reaction between metal-organic frameworks and white phosphorus. When used to electrochemically catalyze oxygen evolution reaction (OER), the FeCoNiP supported by nickel foam requires only 248 mV overpotential to achieve 10 mA cm current densities, and is robust towards the long-term OER in 1 M KOH.

Cross-Modal Hashing Method With Properties of Hamming Space: A New Perspective.

Cross-modal hashing (CMH) has attracted considerable attention in recent years. Almost all existing CMH methods primarily focus on reducing the modality gap and semantic gap, i.e.

Compact Neural Network via Stacking Hybrid Units.

As an effective tool for network compression, pruning techniques have been widely used to reduce the large number of parameters in deep neural networks (NNs). Nevertheless, unstructured pruning has the limitation of dealing with the sparse and irregular weights. By contrast, structured pruning can help eliminate this drawback but it requires complex criteria to determine which components to be pruned.

The clinical efficacy of Zuqing Xu "Wuduling" powder for snake injury on the swelling of the affected limb bitten by Agkistrodon .

To determine the clinical efficacy of Zuqing Xu 'Wuduling' powder for snake injury on the swelling of the affected limb bitten by . Sixty-five patients with bite were assigned to a treatment group ( = 35) or control group ( = 30). The treatment group was additionally given 'Wuduling' powder dressing locally based on the therapy to the control group with conventional Western medicine.

Key Point Sensitive Loss for Long-Tailed Visual Recognition.

For long-tailed distributed data, existing classification models often learn overwhelmingly on the head classes while ignoring the tail classes, resulting in poor generalization capability. To address this problem, we thereby propose a new approach in this paper, in which a key point sensitive (KPS) loss is presented to regularize the key points strongly to improve the generalization performance of the classification model. Meanwhile, in order to improve the performance on tail classes, the proposed KPS loss also assigns relatively large margins on tail classes.

MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval.

Hashing has recently sparked a great revolution in cross-modal retrieval because of its low storage cost and high query speed. Recent cross-modal hashing methods often learn unified or equal-length hash codes to represent the multi-modal data and make them intuitively comparable. However, such unified or equal-length hash representations could inherently sacrifice their representation scalability because the data from different modalities may not have one-to-one correspondence and could be encoded more efficiently by different hash codes of unequal lengths.

Comparison of efficacy and safety between electroacupuncture at 'four sacral points' and conventional electroacupuncture for the treatment of urinary incontinence after stroke: study protocol for a randomised controlled trial.

Introduction: Electroacupuncture at 'four sacral points', also known as electrical pudendal nerve stimulation therapy, combines the advantages of pudendal nerve neuromodulation and the technique of deep insertion of long acupuncture needles. It has been used to treat stress urinary incontinence, female urgency-frequency syndrome, idiopathic urgency urinary incontinence and neurological bladders in previous studies. Here, we describe the protocol for a randomised controlled trial for evaluation of the efficacy and safety of electroacupuncture at 'four sacral points' for the management of urinary incontinence after stroke.

Expression Profiles and Clinical Significance of MicroRNAs in Papillary Renal Cell Carcinoma: A STROBE-Compliant Observational Study.

Papillary renal cell carcinoma (pRCC) is the second most prevalent subtype of kidney cancers. In the current study, we analyzed the global microRNA (miRNA) expression profiles in pRCC, with the aim to evaluate the relationship of miRNA expression with the progression and prognosis of pRCC.A total of 163 treatment-naïve primary pRCC patients were identified from the Cancer Genome Atlas dataset and included in this retrospective observational study.