A significant number of adverse drug reactions is caused by unexpected Drug-drug interactions (DDIs). The identification DDIs becomes crucial before the co-prescription multiple drugs made. Such a task in clinics or discovery usually requires high costs and numerous limitations, while computational approaches are able to predict potential effectively utilizing diverse attributes (e.g. side effects). Nevertheless, they're incapable when required enhancive degressive DDIs, which change...

This review includes the mechanism, catalyst design strategy, performance descriptors, development, and perspectives on selective methanol oxidation electrocatalysts for co-production of hydrogen value-added formate.

Minibeam radiation therapy (MBRT) employs a highly modulated spatial dose distribution characterized by the peak-to-valley ratio (PVDR). Carbon minibeam (cMBRT) offers higher PVDR and relative biological effectiveness (RBE) compared to proton MBRT. However, achieving uniform target (UTD) coverage while maintaining high in organs at risk (OAR) remains challenging. To address this challenge optimize balance between OAR homogeneity, we introduce scissor-beam (SB) approach for cMBRT. The SB...

There has been paid more and attention to supervised classification models in the area of predicting drug-target interactions (DTIs). However, terms classification, unavoidable missing DTIs data would cause three issues which have not yet addressed appropriately by former approaches. Directly labeled as negatives (non-DTIs), increase confusion positives (DTIs) negatives, aggravate imbalance between few many are usually discriminated highly-scored false positives, influence existing measures...

Drug Combination is one of the effective approaches for treating complex diseases. However, determining combinative drug pairs in clinical trials still costly. Thus, computational are used to identify potential advance. Existing have following shortcomings: (i) lack an integration heterogeneous features leads a time-consuming training and even results over-fitted classifier; (ii) narrow consideration predicting combinations only among known drugs having cannot meet demand realistic...

This paper presents a dynamic health intelligent evaluation model proposed to analyze the deterioration of satellites under time-varying and extreme thermal loads. New definitions such as degree failure factor new topological system considering reliability relationship are characterize performance deterioration. The used network method (TNM) fuzzy reasoning solve problem missing non-quantization between temperature probability, it can quickly evaluate satellite through collaborative...

Distributed cooperative control strategies of DC microgrids (DCMG) reduce the detriment communication delays, packet loss and link failure compared with centralized control. However, they are vulnerary to cyber-attacks. The operating objectives can be deviated by false data. Firstly, adverse effects data explained modeled. A data-driven strategy based on linear regression is then proposed remove offline learning online judging transient process in DCMG without affecting dynamic response. It...

Abstract Passive crowd counting using channel state information (CSI) is a promising technology for applications in fields such as smart cities and commerce. However, the most existing algorithms can only recognize total number of people monitoring area cannot simultaneously states ignore real-time performance algorithms. Therefore, they be applied to scenarios multi-state requiring high performance. To address this issue, lightweight passive algorithm called TF-LPMCC proposed. This...

Abstract This paper addresses the complex optimization challenge of terminal visit plan formulation faced by Fast-Moving Consumer Goods (FMCG) companies, focusing on reducing operational costs and enhancing employee efficiency. Given large uneven distribution stores, relying solely manual planning or traditional algorithms proves inefficient costly for both long-term task decomposition short-term route in schedules. The study initially tackles spatial temporal load balancing issue phase,...

As an important and universal petrophysics of heavy oil reservoirs, the two‐phase flow ability inside porous medium is vital for development. Utilizing laminar theory ideal pore structure, especially cylinder model, function relative permeability oil–water with water saturation derived by incorporating principles momentum conservation characteristics Bingham fluids, which was modified validated experiment. Two‐phase permeability, considering as non‐Newtonian fluid, saturation, size,...

The growing popularity of Internet applications and services has rendered high subjective video quality crucial to the user experience. Increasing needs for better resolution faster transmission bandwidths present challenges goal achieving balance between coding cost. In this paper, we propose a Perceptive Variable Bit-Rate Control (PVBRC) framework state-of-the-art standard High-Efficiency Video Coding (HEVC)/H.265. PVBRC allocates bit-rate picture while taking Comprehensive Picture Quality...

Abstract Conventional reservoir operation emphasizes power generation (PG) with ignoring downstream river ecosystem and water supply benefits for sustainable development. Compared the model defining ecological flow requirements as constraints, a novel long-term multi-objective scheduling in complex parallel system (LTMOSCPRS) is developed to assess achieve win–win development energy, supply, benefits. The suitable ideal are calculated based on requirement level index. Afterward, shuffled...

Extremely long simulation time of architectural simulators has been a major impediment to their wide applicability. To accelerate simulation, prior researchers have proposed representative sampling trade small loss accuracy for notable speed improvement. Generally, they use fine-grained phase analysis select only portion program execution intervals detailed cycle-accurate while functionally simulating the remaining portion. However, though granularity is one most important factors speed, it...